205 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Siddheshwar, P.G.; Anirudh, P.; Jagadeesh Kumar, M.S.; Idris, Ruwaidiah Title A name given to the resource Study of chaos in RayleighBard convection of a micropolar fluid Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Communications in Heat and Mass Transfer;Volume;165;Issue;;Article No.;108967; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.icheatmasstransfer.2025.108967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.icheatmasstransfer.2025.108967</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004658779?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004658779?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, Christ University, Karnataka, Bengaluru, 560029, India; Anirudh P., Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Jagadeesh Kumar M.S., Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Idris R., Special Interest Group for Modeling and Data Analytics (SIGMDA), Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Terengganu, Kuala Nerus, 21030, Malaysia Description An account of the resource The paper considers the micropolar fluid (MPF) in a RayleighBard situation and investigates regular and periodic convection, and chaos in the fluid for a wide range of values of the scaled Rayleigh number. The fourth-order scaled Lorenz model that governs weakly non-linear convection is an energy-conserving model whose bounded solution remains within the finiteness of a three-ellipsoid. All the characteristics of the classical Lorenz model are seen in the generalized one. The scaling of the equations is done in such a way that the classical Lorenz model can be obtained as a limiting case of the generalized Lorenz model. The scaled versions of the critical Rayleigh number and the HopfRayleigh number are quantified to determine the onset-of-regular-convection and chaos. Chaotic and periodic regimes appear alternately as the scaled Rayleigh number, r, increases. It is well known from existing literature that the effect of micron-sized particles in the Newtonian fluid is to delay the onset-of-regular-convection. In the paper, it has been found that the suspended particles delay the onset of chaos and the appearance of periodic motion when compared to that in the case of a Newtonian fluid. 2025 Elsevier Ltd Subject The topic of the resource Bifurcation diagram; Chaos; Largest Lyapunov exponent graph; Micropolar fluid; RayleighBard convection Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 7351933; CODEN: IHMTD Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Vishwanath, Murugiah; Rajaram, Rajendran; Thomas, Jisha Mary; Nandhakumar, Velankanni; Christopher Jeyakumar, Thayalaraj Title A name given to the resource Molecular and electronic structure of 5-coordinated [Fe(CO)?(X?)] complexes: A quantum chemical study Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Inorganica Chimica Acta;Volume;588;Issue;;Article No.;122879; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ica.2025.122879" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ica.2025.122879</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014164812?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014164812?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vishwanath M., PG and Research Department of Chemistry, The American College (Autonomous), Tamil Nadu, Madurai, 625002, India; Rajaram R., Department of Chemistry, Madanapalle Institute of Technology &amp; Science, Angallu (V), Andhra Pradesh, Madanapalle, 517325, India; Thomas J.M., Department of Chemistry, CHRIST University, Karnataka, Bengaluru, 560029, India; Nandhakumar V., Department of Biomaterials (Prosthodontics), Saveetha Dental College and Hospitals, Tamil Nadu, Chennai, 600077, India; Christopher Jeyakumar T., PG and Research Department of Chemistry, The American College (Autonomous), Tamil Nadu, Madurai, 625002, India Description An account of the resource Quantum mechanical DFT calculations were performed on Fe(CO)5 and for the axial and equatorial isomers of 5-coordinated [Fe(CO)4(X2)] (where X = N, P, As, and Sb) complexes. The equatorially substituted complexes of 5-coordinated [Fe(CO)4(X2)] are more stable than the axially substituted complexes, as seen from their energy values. These complexes were further studied to understand their bonding nature using results from Natural population analysis (NPA) and energy decomposition analysis (EDA) calculations. The Wiberg bond indices (WBI) analysis provides the bond index of the bond between Fe and X2. The Frontier molecular orbital (FMO) studies show these complexes have a HOMO-LUMO energy gap in the values ranging from 1.99 to 5.04 eV, which is less than that of [Fe(CO)5]. From the Natural bond order (NBO) analysis, the contribution of the X?-atom is smaller in the ? bond formation compared to X? in P2, As2, and Sb2. Similar contributions are seen with the carbonyl group (in the Fe[sbnd]C bond), although the contribution of the carbon atom is larger than that of the X atom. 2025 Elsevier B.V. Subject The topic of the resource Carbonyl; Di-pnictogens; EDA; FMO; WBI Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 201693; CODEN: ICHAA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajesh, M.; Prema, S.; Siva Balan, R.V.; Nilabar Nisha, U.; Chinnu, Silambarasu; Moorthy, Usha Title A name given to the resource Multimodal artificial intelligence for early cancer detection via liquid biopsy, imaging, and clinical records Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Intelligence-Based Medicine;Volume;14;Issue;;Article No.;100395; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ibmed.2026.100395" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ibmed.2026.100395</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039937361?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039937361?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajesh M., Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission's Research Foundation (DU), Paiyanur, Tamilnadu, Chennai, India; Prema S., Department of Computer Science, R.M.D. Engineering College, Kavaraipettai, Tamil Nadu, India; Siva Balan R.V., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nilabar Nisha U., Department of Computer Science &amp; Engineering, Mahendra Institute of Technology, Namakkal, India; Chinnu S., Department of child health Nursing, Government College of Nursing Gorakhpur, BRD Medical College Campus, India; Moorthy U., School of Computer Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Bengaluru, Karnataka, Manipal, India Description An account of the resource Tumours are diverse and multiscale, making it difficult for modern medicine to diagnose early cancer. Using structured clinical data, radiologic imaging features, and liquid samples, this research presents a multimodal AI framework for the early and reliable detection of cancer. The proposed approach surpasses single-modality approaches by integrating signals from various domains, including cancer genetic, anatomical, and physiological data. Using attention-based fusion, representation learning, and better preprocessing, we developed a prediction model that fine-tuned the weights of different modes. The results of the experiments demonstrated that it outperformed unimodal models on all datasets in terms of sensitivity, specificity, and generalisation. The framework has potential for screening purposes because of its ability to detect cancer at an early stage. Clinical confidence and interpretability were both boosted by the results of explainability tests, which revealed substantial feature contributions. The suggested multimodal framework outperformed unimodal baselines across all assessment cohorts with an AUC of 0.94, sensitivity of 0.91, and specificity of 0.88. Experimental results confirm multimodal fusion's clinically interpretable early cancer detection and precision oncology decision assistance. Copyright 2026. Published by Elsevier B.V. Subject The topic of the resource AI explainability; Clinical decision support; Early cancer detection; Liquid biopsy; Multi-omics integration; Multimodal artificial intelligence; Precision oncology; Radiomics Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 26665212; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Naik, Venkatesh; Kumar, Mohan; Nagaraja, Santhosh; Kaup, Vijayananda; Kodandappa, Ramesha; Mammadova, Khayala; Smerat, Aseel; Kadhum, Abdul Amir H.; Karimi, Rasoul Title A name given to the resource Comprehensive investigation on mechanical properties of mango seed shell short fiber-reinforced epoxy based polymer composites Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Hybrid Advances;Volume;13;Issue;;Article No.;100633; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.hybadv.2026.100633" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.hybadv.2026.100633</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035661135?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035661135?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naik V., Department of Mechanical Engineering, CMR Institute of Technology, Bengaluru, 560037, India; Kumar M., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Nitte (Deemed to be University), Yelahanka, Bengaluru, 560064, India; Nagaraja S., Department of Mechanical Engineering, Dayananda Sagar Academy of Technology and Management, Kanakapura Road, Karnataka, Bengaluru, 560082, India; Kaup V., Department of Mechanical Engineering, CMR Institute of Technology, Bengaluru, 560037, India; Kodandappa R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Mammadova K., Medical and Biological Physics Department, Azerbaijan Medical University, Baku, Azerbaijan; Smerat A., Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan; Kadhum A.A.H., College of Medicine, University of Al-Ameed, Karbala, Iraq; Karimi R., Department of Mechanical Engineering, Imam Khomeini Naval Science University of Nowshahr, Nowshahr, Iran Description An account of the resource The mechanical properties of discarded Mango Seed Shell Fiber (MSF)-reinforced epoxy composites are studied in this work. MSF, which was obtained through agricultural wastes, was added to the epoxy matrix in varying weight fractions viz., 5%, 10%, 15%, 20%, and 25% using the hand lay-up method. The outcome shows that the best mechanical performance is reached at the 15% MSF content, i.e., the tensile strength of 29.35?MPa and tensile modulus of 758?MPa, an improvement of 24% in comparison with the unreinforced (neat) epoxy. The modulus and flexural strength were 2962?MPa and 48.13?MPa for 15% MSF content which was 68% and 42% more than neat epoxy. The highest impact strength of 75.93?J/m for 15% MSF which corresponds to 148% higher than the neat epoxy, and the hardness was between 47 RHN and 56 RHN and was maximum for 10% MSF. The novelty of the current study lies in the utilization of mango seed shell fiber, which is an underutilized agro-waste product that has been utilized systematically as a reinforcing element in epoxy composite and the determination of optimal fiber loading by thorough mechanical testing is accomplished in the present work. The results provide the base of mechanical performance data of MSF-reinforced eco-composites and confirm its opportunities as sustainable and cost-efficient reinforcement for lightweight and environmental-friendly structural applications. 2026 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/ Subject The topic of the resource Epoxy polymer composites; Mango seed shell fiber; Mechanical properties; Structural applications; Sustainable materials Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 2773207X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Venugopal, Pulamaghatta N.; Rao, Isukapatla Arjun; Mollick, Sahid Afrid; Chandrasekar, Adimoolam Title A name given to the resource Appraisal of prolyl 4-hydroxylase alpha subunit gene polymorphisms in Spondyloepimetaphyseal dysplasia of Handigodu type (SEMDHG) Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Human Gene;Volume;43;Issue;;Article No.;201387; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.humgen.2025.201387" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.humgen.2025.201387</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85216883798?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85216883798?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Venugopal P.N., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Rao I.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Mollick S.A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Chandrasekar A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India Description An account of the resource Background: The Handigodu variant of Spondyloepimetaphyseal Dysplasia (SEMDHG) is a severe, progressive osteoarthritic disorder characterized by chronic pain and joint degeneration. Clinically, the disorder presents in three distinct phenotypic forms, each exhibiting varying degrees of stature reduction and disease severity. Urine analysis of affected individuals reveals an elevated peptide-bound proline to 4-hydroxyproline ratio relative to controls, suggesting disruptions in collagen metabolism. Given the critical role of prolyl 4-hydroxylase enzymes in stabilizing collagen structure, this study undertook a comprehensive sequence analysis of all three isoforms of prolyl 4-hydroxylase in both affected and unaffected individuals to elucidate potential molecular underpinnings of the disorder. Method: The entire exonic regions and 2000 base pairs upstream of the translation start sites of the P4HA1, P4HA2, and P4HA3 genes were sequenced in a cohort of 300 individuals, comprising 166 affected and 134 unaffected individuals. Results: Sequence analysis of the ? (I), ? (II), and ? (III) subunit genes identified three novel SNPs and a 39-bp deletion variant, in addition to ten previously reported SNPs catalogued in dbSNP. The SNP rs28384495 in P4HA1, the 39-bp deletion variant, and a novel mutation (SNP3) in P4HA3 exhibited significantly different allele frequencies between patients and controls. Genotype association analysis revealed that SNPs in P4HA1 and P4HA3 were associated with Type 2 and Type 3 HD under various genetic models. Notably, all Type 2 HD patients were heterozygous for the 39-bp deletion, whereas all Type 3 HD patients were homozygous for the variant. Haplotype analysis corroborated the findings of the genotype association analysis. Conclusion: This study is the first to account an association between the P4H gene and disease. Further research is needed to evaluate the functional implications of the identified mutations. 2024 Subject The topic of the resource 4-hydroxyproline; Collagen; Handigodu; Prolyl 4-hydroxylase; Spondyloepimetaphyseal dysplasia Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 27730441; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Roy, Santanu; Cherish, Reshma Rachel; Roy, Gifty Title A name given to the resource An attention-based loss function and synthetic minority oversampling technique for alleviating class imbalance in predicting diabetes Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Healthcare Analytics;Volume;7;Issue;;Article No.;100399; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.health.2025.100399" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.health.2025.100399</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006933086?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006933086?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy S., Pandit Deendayal Energy University (PDEU), Department of Computer Science and Engineering, Gandhinagar, India; Cherish R.R., Ramaiah Institute of Technology, Department of Computer Science and Engineering, Bangalore, India; Roy G., Christ (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India Description An account of the resource Diabetes is a chronic disease due to higher blood sugar (or Glucose) levels in the blood. This study proposes a novel attention-based loss function and a lightweight artificial neural network (ANN) called Diabetic Lite (DB-Lite) for diabetes prediction in the Pima Indian Diabetes Dataset (PIDD). We show that the Pima dataset has many challenges. It is a small and imbalanced dataset; moreover, many features are non-linearly correlated in this dataset. The novelties of this research work are as follows: (i) A novel loss function of attention-based binary cross entropy (ABCE) is proposed for the first time to alleviate the statistical imbalance present within the Pima dataset. This ABCE loss function is incorporated in the DB-Lite model, which is trained from scratch. (ii) A Swish activation function is deployed in the hidden layer of DB-Lite instead of Rectified Linear Unit (ReLU) to deal with the non-linear dependency of features with the final outcome. (iii) The synthetic minority oversampling technique (SMOTE) is used as a pre-processing technique to mitigate the class imbalance problem from the Pima dataset. (iv) An adaptive learning rate is utilized while training the model to speed up the convergence of the DB-Lite model. Our final proposed framework has achieved 99.7% accuracy, 99.4% precision, 99.8% recall, and 99.6% F1 score in testing, which is the best result on this Pima dataset. The Welch t-testing (as a statistical hypothesis testing) and 10-fold cross-validation are utilized to prove the validity of the proposed loss function. 2025 Subject The topic of the resource Artificial neural network; Attention-based binary cross entropy; Class imbalance; Diabetes prediction; Synthetic minority oversampling technique (SMOTE) Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 27724425; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Farale, Harish; Sreevidhya, K.B.; Bathinapatla, Ayyappa; Kanchi, Suvardhan Title A name given to the resource Impact of plastic contaminants on marine ecosystems and advancement in the detection of micro/nano plastics: A review Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Hazardous Materials Advances;Volume;18;Issue;;Article No.;100736; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.hazadv.2025.100736" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.hazadv.2025.100736</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004350084?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004350084?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Farale H., Department of Chemistry, CHRIST University, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560 029, India; Sreevidhya K.B., Department of Chemistry, CHRIST University, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560 029, India; Bathinapatla A., Department of Chemistry and Centre of Excellence- Materials &amp; Sensors, CMR Institute of Technology, Bengaluru, 560037, India; Kanchi S., Department of Chemistry, CHRIST University, Bengaluru, 560029, India, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560 029, India Description An account of the resource Micro/nanoplastics pollute all levels of the food web, beginning from aquatic algae, invertebrates, and other fish, through bioaccumulation or even physical and chemical damages augmenting degradation of the marine ecosystem. Besides plastic litter, other toxic chemicals employed in the manufacture of plastics also destroy stable ecosystems. Micro/nanoplastics are toxic to marine organisms through induction of blockage of ingestion, oxidative stress, and reproductive effects. Bivalves such as oysters accumulate microplastics in tissues, which decreases filtration rates. Polystyrene nanoplastics induce endocrine disturbance and neurotoxicity in fish. Seabirds suffer from gut inflammation ("plasticosis"), and zooplankton suffers from decreased feeding rates, which impacts trophic transfer. This review identifies some of the recent developments in electrochemical detection techniques, with a focus on electrochemical sensors and surface-enhanced Raman spectroscopy (SERS). Electrochemical sensors like CdS/CeO? heterojunction-based sensors have been able to detect 0.38 ng/mL of polystyrene nanoplastics. Biochar-modified electrodes and nanoporous gold sensors have also become more sensitive to trace detection levels (?0.44 nM) for microplastics. SERS-based techniques, for instance, membranes with Ag nanoparticles on anodic aluminium oxide (AAO) and metalphenolic networks with luminescence, have facilitated detection of polystyrene, polyethylene, and polypropylene nanoplastics in environmental matrices, with detection limits of 0.1 ?g/mL for 500 nm polystyrene and 1 ?g/mL for smaller plastic mimics. Although portable Raman spectrometers are sufficient for larger particulates, they need SERS enhancement for detecting oceanic matrix-bound nanoparticles. This article presents a critical overview of recent progress in the application of electrochemical sensors, Raman spectroscopy, and commercially available hardware to investigate their extended applications. Challenges and future directions for improved real-time monitoring with improved sensitivity and selectivity are also presented along with interference mitigation. 2025 The Author(s) Subject The topic of the resource Commercial devices; Electrochemical sensors; Micro/nanoplastics; Nanomaterials; Surface-enhanced Raman spectroscopy Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 27724166; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rex M, Camil; Bairoliya, Anushka; Gairola, Shristi; Sureshkumar, Pooja; Niranjan, Vidya; Nag, Anish; Mukherjee, Amitava Title A name given to the resource Engineered biocorona on microplastics as a toxicity mitigation strategy in marine environment: Experiments with a marine crustacean Artemia salina Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Hazardous Materials Advances;Volume;17;Issue;;Article No.;100558; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.hazadv.2024.100558" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.hazadv.2024.100558</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85211182987?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85211182987?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rex M C., Centre for Nanobiotechnology, VIT, Tamil Nadu, Vellore, 632014, India; Bairoliya A., Centre for Nanobiotechnology, VIT, Tamil Nadu, Vellore, 632014, India; Gairola S., Centre for Nanobiotechnology, VIT, Tamil Nadu, Vellore, 632014, India; Sureshkumar P., R V College of Engineering, Karnataka, Bengaluru, India; Niranjan V., R V College of Engineering, Karnataka, Bengaluru, India; Nag A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Mukherjee A., Centre for Nanobiotechnology, VIT, Tamil Nadu, Vellore, 632014, India Description An account of the resource The marine environment has become a major sink for microplastics (MPs) wastes. When MPs interact with biological macromolecules, the biocorona forms on their surface, which can alter their biological reactivity and toxicity. In this study, we investigated the impact of biocorona formation on the toxicity of aminated (NH2) and carboxylated (COOH) polystyrene MPs towards the marine crustacean Artemia salina. Biocoronated MPs were prepared using cell-free extracts (CFEs) from microalgae Chlorella sp. (phytoplankton) and the brine shrimp Artemia salina (zooplankton). The results revealed that biocorona formation effectively reduced the toxicity of MPs. Pristine NH2-MPs exhibited higher reactive oxygen species production (ROS) (182%) compared to COOH-MPs (162%) in Artemia salina. Notably, NH2-MPs coronated with brine shrimp CFE exhibited a substantial reduction in ROS production (127%) than those coronated with algal CFE, with COOH-MPs showing a similar trend (120%). Biocorona formation also significantly decreased malondialdehyde (MDA) levels and antioxidant activity compared to pristine MPs. Molecular docking and dynamics simulations demonstrated a strong binding between polystyrene and acetylcholinesterase (AChE). In vitro studies indicated that pristine NH2-MPs exhibited more reduction in AChE activity (84%) compared to COOH-MPs (95%). However, no significant reduction in AChE activity was observed upon exposure to MPs coronated with either algal or brine shrimp cell-free extracts. Independent action modeling indicated an antagonistic interaction for MPs coronated with both the CFEs. Pearson correlation and cluster heatmap analysis suggested that the toxicity reduction in Artemia salina might be driven by decreased oxidative stress followed by the corona formation. Overall, this study provides valuable insights into the potential of biomolecules from phytoplankton and zooplankton to reduce MPs toxicity in Artemia salina, while highlighting their role in modulating the toxicity of other marine pollutants. 2024 The Author(s) Subject The topic of the resource Algae; Brine shrimp; Cell free extract; Engineered biocorona; Microplastics; Toxicity mitigation Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 27724166; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Balaji, Anagha; Bathinapatla, Ayyappa; Manuel, Manju; Mulpuri, Ravi Kumar; Kanchi, Suvardhan Title A name given to the resource Recent developments in melamine detection: Applications of gold and silver nanostructures in colorimetric and fluorometric assays Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Hazardous Materials Advances;Volume;17;Issue;;Article No.;100553; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.hazadv.2024.100553" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.hazadv.2024.100553</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85211049247?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85211049247?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Balaji A., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India; Bathinapatla A., Department of Chemistry, CMR Institute of Technology, Bengaluru, 560037, India, Centre of Excellence- Materials &amp; Sensors, CMR Institute of Technology, Bengaluru, 560037, India; Manuel M., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India; Mulpuri R.K., Department of Chemistry, Raghu Engineering College (Autonomous), Dakamarri (v), Bheeminipatnam, Andhra Pradesh, Visakhapatnam, 531162, India; Kanchi S., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India Description An account of the resource The purity of milk, traditionally regarded as a symbol of health and nourishment, has been undermined by the alarming issue of melamine (MLM) adulteration. This nitrogen-rich compound is illicitly introduced to falsely enhance protein content, posing significant health risks. Traditional detection methods are often labor-intensive, time-consuming, or require expensive equipment. In response, researchers have developed colorimetric detection techniques to efficiently screen milk for MLM contamination. These methods are particularly promising due to their ease of preparation, rapid detection, high sensitivity, and capability for naked-eye detection. Furthermore, the unique optical properties of advanced nanomaterials have facilitated fluorometric detection, wherein the presence of contaminants induces detectable changes in fluorescence intensity or wavelength. This study offers an in-depth review of recent advancements in colorimetric and fluorometric probes based on silver (Ag) and gold (Au) nanostructures, exploring their application in food analysis. It delves into the underlying sensing mechanisms of these probes, showcasing their efficacy in detecting food contaminants. Despite the numerous advantages of Ag and Au nanostructure-based probes, challenges remain, particularly in addressing the complexity of food matrices, achieving simultaneous detection of multiple analytes, and mitigating interference from testing conditions. Additionally, this review highlights the emergence of immunoassay-based sensors, noting that many commercially available MLM testing kits utilize ELISA and LFIA platforms. For the first time, a comprehensive list of MLM testing devices and assay kits is presented, accompanied by key findings from recent studies and recommendations for future research directions. 2024 The Author(s) Subject The topic of the resource Assay kits; Devices; Melamine; Milk samples; Silver and Gold nanoparticles; UVVis spectroscopy Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 27724166; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kappil, Shine Raju; Kocoglu, Mustafa; Banday, Umer Jeelanie; Jahanger, Atif Title A name given to the resource Analysing the impact of oil prices, economic activity, and trade policy uncertainty on CO2 emissions in the US context: A wavelet approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Gondwana Research;Volume;147;pp.213-232 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.gr.2025.06.016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.gr.2025.06.016</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010653628?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010653628?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kappil S.R., School of Business and Management, Christ University, Bangalore, India; Kocoglu M., Erciyes University, Kayseri, 38039, Turkey, Prague University of Economics and Business, Faculty of Finance and Accounting, W. Churchill sq. 4, Prague, 3, 130 67, Czech Republic; Banday U.J., Scientist (Economics), Indian Institute of Technology Delhi, Department of Civil Engineering, India; Jahanger A., International Business School, Hainan University, Hainan, Haikou City, 570228, China Description An account of the resource This study examines the simultaneous co-movements between oil prices, economic activity, trade policy uncertainty, and CO2 emissions in the United States using a series of wavelet methodologies. Unlike traditional approaches, the wavelet approach is appropriate for understanding the time-varying associations at different frequencies and is designed to efficiently handle the non-stationary nature of economic and environmental time series data. The empirical results highlight the potential of a leading relationship where economic activities and trade policy uncertainties drive CO2 emissions in the US during the period from January 1990 to January 2022. Contrarily, the link between oil prices and CO2 emissions is characterized by intricate dynamics, exhibiting both lagging and leading co-movements at different frequencies. Moreover, economic activities have a positive impact on CO2 emissions, while in the high quantile tails, trade policy uncertainty decreases CO2 emissions. This means economic activity is slowing down during the period of high trade policy uncertainty. Our findings highlight the necessity of specific policies that reconcile economic growth with environmental sustainability, manage the effect of oil price changes on CO2 emissions, and match trade policies with emission-minimizing goals. Based on the results, this research offers important implications for policymakers to ensure the equilibrium between economic activity and environmental management within the scope of sustainable development goals. 2025 International Association for Gondwana Research Subject The topic of the resource CO₂ emissions; Economic activity; Oil prices; Trade policy uncertainties; US; Wavelet techniques Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 1342937X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramalingegowda, Rashmi; Nagalapur Gadilingappa, Manjula; Borehalli Mayegowda, Shilpa; M, Sahana; T, Vikramadhithya; Muthukumaran; H, Sachin D. Title A name given to the resource A heavy metal tolerant Thiopseudomonas alkaliphila strain as a potential plant growth promoter isolated from Bengaluru region Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Gene Reports;Volume;42;Issue;;Article No.;102425; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.genrep.2025.102425" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.genrep.2025.102425</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027041729?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027041729?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramalingegowda R., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; Nagalapur Gadilingappa M., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; Borehalli Mayegowda S., Department of Psychology, CHRIST -Deemed to be University, Bangalore Kengeri Campus, Kanmanike, Kumbalgodu, Mysore Road, Karnataka, Bangalore, 560074, India; M S., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; T V., Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India; Muthukumaran, Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India; H S.D., Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India Description An account of the resource Thiopseudomonas alkaliphila, a Pseudomonadaceae has diverse environmental role that has not been much explored. Current study highlights, the isolated strain from industrial sites of Bengaluru with heavy metal tolerance against lead, chromium and cadmium. The antibiotic susceptibility test (AST) and minimum inhibitory concentration (MIC) showed sensitive against all the antibiotics used in the study. Subsequently, 16s rRNA analysis established and closely related to T. alkaliphila D2441 strain, whole genome was submitted, GenBank SRA database accession number is as follows PRJNA1258058. The unravelling of genetic determinants analyzed for heavy metals, antibiotic resistance and plant growth promoting traits were compared with related strains. A single chromosome with 2,400,551 bp length, average GC ratio 49.44 % and with 1941 protein-encoding genes (PEGs), the strain can bioremediate different heavy metals (354 genes/proteins), along with an aptitude as plant growth promoting rhizobacteria (PGPR) evidenced by genes showcasing tolerance against adverse environmental conditions under stress for phytohormones, plant nutrient acquisition, heat and shock chaperones, siderophore etc. The study highlights, T. alkaliphila as a non-pathogenic, potential heavy metal remediator with potential activity for PGPR traits at genetic levels. 2025 Subject The topic of the resource Antibiotic susceptibility test (AST); Heavy metals; Minimum inhibitory concentration (MIC); Plant growth promoting rhizobacteria (PGPR); Thiopseudomonas alkaliphila Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 24520144; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Babu, Chrisma Rose; Anila, E.I.; Avani, A.V. Title A name given to the resource Aqueous symmetric supercapacitor based on hydrothermally grown reduced graphene oxide wrapped cobalt oxide nanocomposites: An efficient paradigm for enhanced performance in supercapacitors Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Fuel;Volume;406;Issue;;Article No.;137225; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2025.137225" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2025.137225</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022154902?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022154902?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Babu C.R., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Avani A.V., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India Description An account of the resource Extensive research has been carried out on the development of electrode materials for energy storage applications, especially in the field of supercapacitors. The present work is the first report on the effect of rGO concentration on the electrochemical properties of reduced graphene oxide-cobalt oxide (rGO-Co3O4) nanocomposites. A symmetric supercapacitor device is assembled by compounding two hydrothermally grown rGO-Co3O4 nanocomposite electrodes separated by a membrane dipped in a 3 M KOH aqueous electrolyte solution. The device delivered a specific capacitance of 1006 Fg?1, energy density of 357.44 W h kg?1, and a power density of 1600 W kg?1 at a current density of 2 Ag?1. It showed a cyclic stability of 80 % during 10,000 cycles at a very high current density of 5 Ag?1 and a coulombic efficiency of 100 %, which maintained a better electrochemical performance, implying that the as-synthesized electrodes are useful for portable energy storage devices. 2025 Elsevier Ltd. Subject The topic of the resource Energy density; Nanocomposites; Reduced graphene oxide-Cobalt oxide; Symmetric Supercapacitors Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 162361; CODEN: FUELA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Silviya, R.; Gupta, Suraj; Spreitzer, Matja; Patel, Nainesh; Fernandes, Rohan Title A name given to the resource Biomass-derived N-doped carbon to anchor bimetallic-phospho boride for hydrogen evolution from alkaline seawater Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Fuel;Volume;405;Issue;;Article No.;136531; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2025.136531" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2025.136531</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013104104?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013104104?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Silviya R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovakia; Spreitzer M., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovakia; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India Description An account of the resource Seawater electrolysis offers a sustainable pathway for hydrogen production, but is hindered by the limited activity and stability of electrocatalysts, with Pt-based materials being highly active yet costly and scarce. To address these issues, we synthesize nitrogen-doped carbon (NC) via a solvent-free method from golden shower biomass. NC is integrated with CoMoPB catalysts using a facile chemical reduction process. The resulting CoMoPB/NC catalyst exhibited superior HER activity, achieving a low overpotential of 34 mV at 10 mA/cm2 in alkaline natural seawater, outperforming the commercial Pt/C catalyst under similar conditions. The CoMoPB/NC catalyst demonstrated considerable stability at ?500 mA/cm2 for 100 h and showed strong HER performance in seawater electrolyzers, reaching ?1.98 V at 500 mA/cm2. This study explores the potential of biomass-derived catalysts to rival and surpass commercial noble metal-based systems, offering a cost-effective and sustainable solution for industrial-scale seawater electrolysis and renewable energy applications. 2025 Elsevier Ltd Subject The topic of the resource Biomass-derived carbon; Electrocatalyst; Golden shower pods; Hydrogen evolution reaction; Seawater electrolysis Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 162361; CODEN: FUELA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bhide, Aniruddha; Gupta, Suraj; Bhabal, Rinkoo; Fernandes, Rohan; Patel, Maulik; Patel, Nainesh Title A name given to the resource Instigating the mixed phases of cobalt oxide in nanowires for electrolysis of urea-based water Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Fuel;Volume;404;Issue;;Article No.;136181; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2025.136181" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2025.136181</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009698192?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009698192?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhide A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovakia; Bhabal R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel M., Department of Materials, Design and Manufacturing Engineering, University of Liverpool, Liverpool, L69 3GH, United Kingdom; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India Description An account of the resource The urea oxidation reaction (UOR) offers a more energy-efficient alternative to water splitting, with a lower theoretical potential of 0.37 V and the possibility of using urea-based wastewater as an electrolyte. In this study, phosphorus/boron-incorporated cobalt oxide nanowires supported on nickel foam (P,B-CoxOy NW@NF) are synthesized by hydrothermal and reduction methods as an electrocatalyst for UOR. The P,B-CoxOy NW@NF demonstrates exceptional electrocatalytic performance with a low UOR potential of 1.33 V at 50 mA/cm2 in alkaline media. Comprehensive structural and morphological analyses reveal the formation of mixed Co3O4-CoO phases with abundant oxygen vacancies (Ov) and Co2+ species, which synergistically enhance conductivity and provide ideal surroundings for active M?OOH species formation. In-situ electrochemical kinetic studies highlight the superior catalytic activity of P,B-CoxOy NW@NF, attributed to a high density of active sites, improved reactant adsorption, and efficient desorption of byproducts, including CO2. The catalyst exhibits excellent long-term stability with minimal degradation of 7 % over 100 h of continuous chronoamperometry testing and 2 % loss after 10,000 cycles. Furthermore, the activity of P,B-CoxOy NW@NF is evaluated in alkaline natural cow urine, requiring just 1.35 V at 50 mA/cm2 for UOR, demonstrating its practical relevance for real-world applications. These findings showcase the significant potential of P,B-CoxOy NW@NF as a scalable and stable electrocatalyst for sustainable hydrogen production from wastewater. 2025 Elsevier Ltd Subject The topic of the resource Electrochemistry; Kinetics; Mixed phase material; Oxygen vacancy; Urea splitting Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 162361; CODEN: FUELA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Abraham, Anitha; Gupta, Suraj; Patel, Rupali; Patel, Nainesh; Fernandes, Rohan Title A name given to the resource Surface modified Cobalt Oxide Nanostructures for hydrogen generation from catalytic dissociation of NaBH4 Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Fuel;Volume;395;Issue;;Article No.;135198; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2025.135198" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2025.135198</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000836641?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000836641?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Abraham A., Department of Physics and Electronics, CHRIST University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Ljubljana, 1000, Slovenia; Patel R., Department of Physics and Electronics, CHRIST University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, CHRIST University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, CHRIST University, Bengaluru, 560029, India Description An account of the resource Liquid chemical hydrides, such as aqueous sodium borohydride (NaBH4), offer a safer, energy-dense alternative for fuel cell vehicles, enabling on-demand hydrogen release under ambient conditions. However, achieving large-scale viability for this system requires the development of a cost-effective and durable catalyst to improve hydrogen release efficiency. In this study, three distinct nanostructured Co3O4 catalysts (nanorods (NR), nanosheets (NS), and nanocubes (NC)) were synthesised via a hydrothermal method and further modified by incorporating B and P heteroatoms on the surface. Among these, the B/P-Co3O4-NS catalyst with its 2D nanosheet structure exhibited the highest catalytic activity, achieving an activation energy of 17.7 kJ/mol and a maximum hydrogen generation rate (HGR) of 5.6 L/min/g for hydrolysis of NaBH4. All three B/P-modified Co3O4 catalysts outperformed both CoPB nanoparticles and unmodified Co3O4, attributed to enhanced electronic interactions and induced lattice strain from B and P incorporation, with the nanosheet morphology providing a large surface area for improved efficiency. The B/P- Co3O4-NS catalyst also demonstrated notable stability, successfully enduring recycling and high-temperature treatment (773 K). These results highlight B/P-Co3O4-NS as a promising candidate for practical hydrogen generation, combining high catalytic performance with robust stability. 2025 Elsevier Ltd Subject The topic of the resource Catalysis; CoPB nanostructures; Hydrogen generation; Hydrolysis of NaBH₄ Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 162361; CODEN: FUELA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Eugine Prince, M.; Rathi Devi, T.; Anu Disney, D.; Kannan, K.; Ramesh, K.; Sujatha Therese, P. Title A name given to the resource Quantum-enhanced neuro-fusion framework for intelligent decision-making in smart home IoT surveillance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Franklin Open;Volume;15;Issue;;Article No.;100561; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fraope.2026.100561" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fraope.2026.100561</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032190667?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032190667?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Eugine Prince M., Department of Physics, S. T. Hindu College, Tamil Nadu, Nagercoil, India; Rathi Devi T., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Anu Disney D., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Tamil Nadu, Chennai, India; Kannan K., Department of Electronics and Communication Engineering, R. M. K. College of Engineering and Technology, Tamil Nadu, Thiruvallur, India; Ramesh K., Department of Electronics and Communication Engineering, Dhanalakshmi Srinivasan College of Engineering and Technology, Tamil Nadu, Chennai, India; Sujatha Therese P., Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India Description An account of the resource Smart-home surveillance systems increasingly rely on heterogeneous IoT data streams, requiring efficient fusion, scalability, and robustness under noisy sensing conditions. This paper proposes a Quantum-Inspired Deep Neuro-Fusion Architecture (QDNFA) for anomaly detection in edgecloud IoT environments. The framework integrates modular encoders, temporal alignment, and a quantum-inspired optimisation mechanism to support multi-modal data processing while maintaining real-time performance. Experimental evaluation is conducted on the CASAS Smart Home dataset to validate sensor-centric anomaly detection, scalability across multiple devices, and edgecloud inference efficiency. While the architecture is designed to support audio and video modalities, the present study focuses on low-dimensional sensor data, and large-scale benchmarking on audiovisual surveillance datasets is identified as future work. Results demonstrate improved detection accuracy and reduced latency compared to baseline methods in sensor-driven smart-home scenarios. 2026 The Author(s). Subject The topic of the resource Adversarial resilience; AI-driven IoT systems; Anomaly detection; Deep neuro-fusion; Edge computing; Internet of things; Multi-modal data fusion; Quantum-inspired optimization; Real-time surveillance; Smart home security Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 27731871; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jomon, Sneha; Bastian, Blossom Treesa; Joseph, Manu M. Title A name given to the resource Analysis of passive bloodstain morphology across surface textures and drop heights using deep learning Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Forensic Science International;Volume;383;Issue;;Article No.;112890; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.forsciint.2026.112890" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.forsciint.2026.112890</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034568412?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034568412?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jomon S., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India; Bastian B.T., Augsense Lab, Kerala, Thiruvananthapuram, India; Joseph M.M., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India Description An account of the resource Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene events. In this study, the effect of substrate type and drop height on the morphology of passive bloodstains was examined under controlled laboratory conditions. Blood samples were dropped vertically at 90 angle from three different heights, and the drops were permitted to strike five different surfaces, including curved cups, crushed chart paper, jute cloth, jelly stone, and concrete. These substrates were chosen to represent a realistic range of porous, semi-porous, non-porous, textured, and curved materials that are commonly encountered in crime scenes. The features of the substrate affect stain morphology, including shape irregularity and satellite formation, but not the measured angle of impact. These findings validate the consistency of impact angle determination using BPA, wherein the nature of the substrate primarily affects stain morphology but not necessarily the accuracy of angles. The large image data sets were tested using deep learning approaches, which effectively differentiate bloodstain patterns generated from varying fall heights. MobileNet model, leveraging pretrained ImageNet features, achieved superior accuracy and generalisation, underscoring the value of transfer learning for small forensic datasets. Future extensions of this work will include multiple impact angles, motion-related effects and temperature-controlled conditions to represent the actual crime scene scenarios. Deep learningbased analysis of these data may improve the understanding of bloodstain morphology and strengthen the forensic applicability. 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Subject The topic of the resource Bloodstains; Crime Scene Analysis; Deep Learning; Forensic Reconstruction; Impact Angle Publisher An entity responsible for making the resource available Elsevier Ireland Ltd Relation A related resource ISSN: 3790738; CODEN: FSIND Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource K.S., Shanthini; George, Sudhish N.; Francis, Jobin; George, Sony Title A name given to the resource SS-CNN BruiseFinder: Hyperspectral imaging and CNN-driven spatial-spectral fusion for non-destructive plum bruise analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Food Control;Volume;182;Issue;;Article No.;111870; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.foodcont.2025.111870" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.foodcont.2025.111870</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022807709?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022807709?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant K.S. S., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; George S.N., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; Francis J., Department of Computer Science, Christ University Bangalore, Karnataka, India; George S., Department of Computer Science, Norwegian University of Science and Technology Gjik, Norway Description An account of the resource Plum fruit is susceptible to damage at various stages, from growth to packaging, and such bruising is often difficult to detect visually due to its subtle surface appearance. This research seeks to develop a convolutional neural network (CNN) model that leverages 3D convolutional layers to integrate spatial and spectral features from hyperspectral data, enabling accurate bruise analysis in plum fruit. In this study, plums sourced from a Norwegian fruit store were intentionally bruised and then imaged using hyperspectral technology at various time intervals (30 min to 48 h post-bruising). A novel CNN model, dubbed SS-CNN BruiseFinder, is developed to harness the spatial and spectral characteristics of these hyperspectral images for accurate bruise detection and classification. The SS-CNN BruiseFinder model demonstrates detection accuracy ranging from 68.5% to 91.5% and categorization accuracy between 67.39% and 98.16%. To further establish the effectiveness of this approach, three additional deep learning models a custom spectral CNN, ResNet 101, and a bidirectional LSTM model are developed and evaluated on the same dataset, providing a comprehensive validation of the proposed method's superiority. Timely detection of bruising helps prevent contaminated plums from entering the supply chain during transportation or storage. By categorizing plums based on bruise age, retailers can offer consumers more accurate freshness and quality information, enabling them to make better-informed purchasing choices and ultimately enhancing the overall shopping experience. To encourage community engagement and re-implementation, our code is available at https://github.com/SS-CNN BruiseFinder. 2025 Elsevier Ltd Subject The topic of the resource Bruise categorization; Fruit quality analysis; Postharvest; Spatial spectral CNN; Vis-NIR imaging Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 9567135; CODEN: FOOCE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shanthini, K.S.; Francis, Jobin; George, Sudhish N.; George, Sony; Devassy, Binu M. Title A name given to the resource Early bruise detection, classification and prediction in strawberry using Vis-NIR hyperspectral imaging Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Food Control;Volume;167;Issue;;Article No.;110794; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.foodcont.2024.110794" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.foodcont.2024.110794</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85201208288?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85201208288?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shanthini K.S., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; Francis J., Department of Computer Science, Christ University, Karnataka, Bangalore, India; George S.N., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; George S., Department of Computer Science, Norwegian University of Science and Technology, Gjik, Norway; Devassy B.M., Department of Computer Science, Norwegian University of Science and Technology, Gjik, Norway Description An account of the resource The most frequent kind of damage to strawberries is bruising. However, most of the bruises are so barely perceptible at an early stage on the surface, that detection of them with the human eye is quite challenging. This study proposes a method for accurately detecting and classifying the damage using reflectance imaging spectroscopy. In order to carry out the study, an experiment was devised to artificially induce bruises and a dataset was generated at different bruise intervals. A model for detecting and classifying bruises at their latent stage was developed using machine learning classifiers, including support vector machines (SVM), k-nearest neighbors (KNN), linear discriminant analysis (LDA), random forest (RF), and decision tree (DT), to investigate the changes over time after bruise occurrence on the detection performance. Regression models for the prediction of bruising time were developed using partial least square regression (PLSR), RF, gradient boosting (GB), support vector regression (SVR), and DT. Among the compared models, both SVM and LDA could achieve 99.99 % classification accuracy. RF was regarded as being the most advisable for detection and prediction jobs due to its high performance. It achieved MSE of 0.052 and R2 of 0.989 for prediction. 2024 Elsevier Ltd Subject The topic of the resource Bruise level classification and prediction; Early bruise detection; Hyperspectral image (HSI); Strawberry Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 9567135; CODEN: FOOCE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Joy, Jean Mary; P?, Amruth; Paul, Preethy Treesa; M?, Rosemol Jacob; Dara, Pavan Kumar; Mathew, Suseela Title A name given to the resource Innovative fish peptide-loaded chitosomes: Advancing bioactive delivery through comprehensive in vitro and in vivo assessments Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Food Chemistry Advances;Volume;7;Issue;;Article No.;100947; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.focha.2025.100947" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.focha.2025.100947</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000464051?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000464051?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joy J.M., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Zoology, St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; P? A., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Life Sciences, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Banglore, 560029, India; Paul P.T., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; M? R.J., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; Dara P.K., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Department of Biotechnology, Faculty of Science and Humanities, SRMIST, Tamil Nadu, Kattankulathur, 603203, India; Mathew S., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India Description An account of the resource Considerable advancements have been achieved in controlled delivery systems, yet ensuring optimal stability, bioavailability, and precise targeting of bioactive compounds continues to present challenges. Addressing this gap, the present study explores chitosomeslipid vesicles stabilized by chitosanas a promising approach to enhance the delivery efficiency of bioactive molecules. This study investigate fish peptide-loaded chitosomes, leveraging chitosan's biocompatibility, biodegradability, and encapsulation capabilities. A comprehensive evaluation was conducted under both in vitro and in vivo conditions to assess their potential applications. In vitro studies using L929 cell lines demonstrated high biocompatibility, efficient cellular uptake, and sustained cell viability, with a dose-dependent cytotoxicity profile, leading to early and late apoptosis. The tolerance, favourable metabolic stability, and biomarker responses were validated by in vivo evaluations in Albino Wistar rats, demonstrating systemic efficacy and safety. Moreover, the peptide-chitosome formulation demonstrated a lipid-lowering impact, as evidenced by increases in high-density lipoprotein (HDL) and unsaturated fatty acids and decreases in triglycerides, saturated fatty acid content, and low-density lipoprotein (LDL). These findings highlight the potential of fish peptide-loaded chitosomes as an advanced bioactive delivery system, addressing existing limitations and expanding their applicability in nutraceutical and therapeutic formulations. 2025 The Author(s) Subject The topic of the resource Chitosome; Fish bioactive peptide; Nutraceuticals; Stability Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 2772753X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online