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Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques
Bone fractures in the spine or hip are the most severe complications of Osteoporosis. Older subjects with Osteoporosis are vulnerable to falls. This paper aims to review the breakthrough in machine learning methods over the past four years in assessing fracture risk in osteoporotic patients. Machine learning is applied in the healthcare and medical field. Machine learning professionals can accurately predict disease onset by analyzing a large amount of data. Osteoporosis is one of the healthcare domains in which new Machine learning and Artificial Intelligence techniques can be implemented. The objective of this research is to give an overview of the recent advancements in machine learning methods in finding out the risk factors for fractures or predicting the onset of disease. A systematic search was conducted in PubMed to get research papers published on Machine learning methods to detect, classify, or predict osteoporosis-related fracture risk. The articles belonging to Fracture prediction and risks (n=14), Osteoporosis classification(n=3), Diagnosis of fracture(n=3), and Predicting length of stay (n=1) were identified. The quality of the articles is assessed. Most articles described the efforts to create the model and showcased excellent results in predicting the risks. Significant limitations were in the form of inadequate data splitting and data validations. More validation studies are needed in various large groups to improve the model. Most of the participants in significant studies were in their initial stage of the disease, and the reproducibility analysis was done with major disease issues. 2023 IEEE. -
Perusal of flexoelectric effect with deformed interface in distinct (PZT-7A, PZT-5A, PZT-6B, PZT-4, PZT-2) piezoelectric materials
The present research article aims to describe that the flexoelectric affects the propagation of Love-type in various piezoelectric (PE) materials bars (PZT-7A, PZT-5A, PZT-6B, PZT-4, PZT-2) that rest over a silicon oxide plate under the presence of a deformed interface. With the help of material properties of these various piezoelectric, this article elucidates the impact of flexoelectric (FE) and piezoelectric (PE) on propagation characteristics of Love-type waves. Before this, the desire dispersion relation in the form of a complex, for both electrically unlocked/locked conditions, have been obtained by using mechanical as well as electrical quantities for the respective medium under suitable boundary and interface conditions. The complex dispersion relation is separated into real and imaginary terms which give Real(c) and Imag(c). Further, the effect of flexoelectric (FE) and piezoelectric (PE) on Real(c) and Imag(c) have been observed. In addition, a comparative study among various types of piezoelectric materials is also performed which serve as a major highlight of the present research work. The outcomes of this study may be very helpful in the specific problems of monitoring structural health system design with the help of simulation and alesser number of elaborate trials. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Pester power and advertisements influence on purchase of food products in a convenience store /
Asian Journal Of Management, Vol.8, Issue 2, pp.204-214, ISSN: 2321-5763 (Online) 0976-9495X (Print). -
PEVRM: Probabilistic Evolution Based Version Recommendation Model for Mobile Applications
Traditional recommendation approaches for the mobile Apps basically depend on the Apps related features. Now a days many users are in quench of Apps recommendation based on the version description. Earlier mobile Apps recommendation system do not handle the cold start problem and also lacks in time for recommending the related and latest version of Apps. To overcome this issues, a hybrid Apps recommendation framework which is considering the version of the mobile Apps is proposed. This novel framework named 'Probabilistic Evolution based Version Recommendation Model (PEVRM)' integrates the principles of Probabilistic Matrix Factorization (PMF) with Version Evolution Progress Model (VEPM). With the help this novel recommendation algorithm, the mobile users easily identify the specific Apps for particular task based on its version progression. At same time, this framework helps in resolving cold start problems of new users. Evaluations of this framework utilize a benchmark dataset, i.e., Apple's iTunes App Store3, for revealing its promising performance. 2013 IEEE. -
pH-dependent water permeability switching and its memory in MoS2 membranes
Intelligent transport of molecular species across different barriers is critical for various biological functions and is achieved through the unique properties of biological membranes14. Two essential features of intelligent transport are the ability to (1) adapt to different external and internal conditions and (2) memorize the previous state5. In biological systems, the most common form of such intelligence is expressed as hysteresis6. Despite numerous advances made over previous decades on smart membranes, it remains a challenge to create a synthetic membrane with stable hysteretic behaviour for molecular transport711. Here we demonstrate the memory effects and stimuli-regulated transport of molecules through an intelligent, phase-changing MoS2 membrane in response to external pH. We show that water and ion permeation through 1T? MoS2 membranes follows a pH-dependent hysteresis with a permeation rate that switches by a few orders of magnitude. We establish that this phenomenon is unique to the 1T? phase of MoS2, due to the presence of surface charge and exchangeable ions on the surface. We further demonstrate the potential application of this phenomenon in autonomous wound infection monitoring and pH-dependent nanofiltration. Our work deepens understanding of the mechanism of water transport at the nanoscale and opens an avenue for the development of intelligent membranes. 2023, The Author(s), under exclusive licence to Springer Nature Limited. -
pH-indicator based on delignified jute fiber and red cabbage anthocyanins for monitoring fish spoilage using a smartphone application
Halochromic materials that show visible color changes in response to changes in pH are suitable for the real-time monitoring of fish spoilage. In this study, an easy-to-use, simple, inexpensive, and non-toxic fish freshness indicator was fabricated by combining delignified jute (Corchorus olitorius) fibers and anthocyanins (halochromic materials) from red cabbage (DFA: Delignified jute fibers incorporated with anthocyanins). A single-step decolorization/delignification using solar irradiation along with NaOH and H2O2 treatment was used for modifying the jute fibers. This method helps to overcome the self-color, mitigates the lack of affinity of jute fibers towards anthocyanins and preserves the lignin so that the strength of the fiber is not impacted. A smartphone-based color analysis was used for real-time fish quality monitoring using DFA. To the best of our knowledge, there are no reports on the use of jute fibers as substrates to incorporate anthocyanins for food spoilage monitoring. The indicator displayed an observable color response to the pH and varying concentrations of amine compounds. During the storage of fish (mackerel), the colorimetric indicator showed a visible color change from pink (for fresh fish) to blue (for spoiling fish) and then to green (for spoiled fish), corresponding to changes in pH and total volatile basic nitrogen. To offer a straightforward quantitative assessment of color changes, we utilized the freely available Android application Color Grab to measure the color using RGB and L*, a*, and b* indices. The DFA indicator providing naked-eye analysis has the potential to be an effective tool for real-time monitoring of on-site food spoilage by non-specialized personnel in resource-limited areas. 2024 Elsevier B.V. -
Pharmaceutical Waste-Derived Carbon Quantum Dots via Microwave Method for Selective Au3+ Ion Detection
Heavy metals released in various ways into water bodies is a key concern for environmental protection. Their nonbiodegradability and the health risks associated with these heavy metals in the environment exacerbate the problem. Scientists worldwide are addressing the issue through various approaches. Among them, the fluorescence approach is unique in its simplicity and rapid results. In this study, carbon quantum dots (CQDs) were synthesized from an expired vitamin B12 tablet using a simple microwave-assisted approach. The resulting CQDs showed sustainability, good photostability with quantum yield (30.08%), water solubility, prolonged storage stability, and produced a brilliant blue emission when exposed to UV light. These CQDs exhibited stable photoluminescence attributes across a wide range of ionic strengths and pH levels. Au3+ ions effectively quenched the PL intensity of CQDs in a linear, selective, and sensitive approach. We demonstrated Au3+ sensing in aqueous conditions utilizing CQDs as the fluorescent probe, with a limit of detection of 41nM. This work has been demonstrated to create an efficient and cost-effective method for detecting auric ions in wastewater effluents. 2025 Wiley-VCH GmbH. -
Phenolic composition and antioxidant potential of Cosmostigma cordatum
Cosmostigma cordatum (Poir.) M.R. Almeida, a plant belonging to the family Apocynaceae, has not been explored for its phytochemistry and antioxidant properties. Dried samples of leaves were used to estimate the proximate and mineral composition. Distilled water, methanol, and ethanol extracts were analyzed for the quantification of phenolic compounds and antioxidant potential. EC50 values were determined to estimate the antioxidant potential. Leaves of C. cordatum were found to be a good source of proximate contents and minerals. The total phenols, flavonoids, minerals, and antioxidant activity were determined from methanolic, ethanolic, and aqueous extracts of leaves. Extracts showed a higher concentration of phenols (2.29 0.06 mg GAE g-1) in methanolic extracts and these extracts had higher antioxidant activity when compared to ethanol and aqueous extracts. The flavonoid content was higher in ethanolic extracts (51.94 0.89 mg QE g-1) than in other extracts. In addition, gas chromatography-mass spectroscopy analysis of the hexane extract of leaves identified (E,E)-7,11,15-trimethyl-3-methylene-hexadeca-1,6,10,14-tetraene, 1H-cycloprop[e]azulene, decahydro-1,1,7-trimethyl-4-methylene-, n-hexadecanoic acid, 1-naphthalenepropanol,.alpha-ethenyldecahydro-2-hydroxy-.alpha.2,5,5,8a-pentamethyl [1R[1.alpha.(R*).beta.4a.beta.8a.alpha.]]-,cis-3,14-clerodadien-13-ol, squalene and octacosane. Our results suggest that the leaves can become a potential source of food supplements, nutraceuticals, and photo-therapeutics. 2022, Indian journals. All rights reserved. -
Phenomenology and constraints of an extended modified gravity in Weyl geometry
We explore a novel class of modified gravity theories built upon Weyl geometry, where the Weyl connection introduces additional geometric degrees of freedom beyond general relativity. By promoting the Weyl field to a dynamical entity with a generalized potential, the resulting modified gravity theory naturally incorporates degrees of freedom arising from both the Weyl field and the scalaron embedded in the non-linear Ricci scalar function. Crucially, the field equations remain second-order, ensuring stability and avoiding Ostrogradsky instabilities. To test its viability, we confront this theory with observational data from Dark Energy Spectroscopic Instrument, cosmic chronometers, and Type Ia supernovae, constraining its free parameters through statistical analysis. Our results show strong agreement with observations, supporting a quintessence-like accelerating cosmic expansion and alleviating the Hubble tension. These findings establish modified gravity as a compelling extension of standard cosmology. 2025 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. -
Phenotypic detection of ?-lactamases producing Klebsiella pneumoniae and Acinetobacter baumannii isolated from the respiratory tract infections
Introduction: With limited treatment options and emerging antimicrobial resistance amongst bacterial pathogens in hospital settings, the alarming condition needs to be addressed. Aim and Objective: The study aimed to determine the antibiotic susceptibility (AST) patterns, and extended spectrum ?-lactamases (ESBL) and Metallo ?-lactamases (MBL) production in Klebsiella pneumoniae and Acinetobacter baumannii isolated from respiratory tract infections (RTI). Materials and Methods: Current study, 1624 samples (sputum, tracheal secretions, suction tip) were collected during June 2020 to September 2022, phenotypically characterized by antibiotic sensitivity test (AST), Extended Spectrum Beta lactamases and Metallo Beta lactamases detection. Results: Of 12.3% (200 isolates), recorded prevalence rate of K. pneumoniae was 10.3% while, A. baumannii showed 1.9%. Following AST, K. pneumoniae displayed highest resistance against Ampicillin (95%), followed by Amoxycillin/clavulanic acid (91%), lowest recorded susceptibility for Tigecycline (39.2%). While, A. baumannii expressed susceptibility to Carbapenem group and Ciprofloxacin (84.3%), lowest Tigecycline (50%). Overall study exhibited Colistin retaining its activity with 100% sensitivity. ESBL production in K. pneumoniae was 31% and 0% in A. baumannii. While, MBL producers was 11%, K. pneumoniae and A. baumannii recorded at 9.5% and 25% respectively. Conclusion: The increasing rates of ESBL producers is concerning, and the current study highlights use of Colistin as the best available antimicrobial for treating such RTI pathogens. Therefore, continuous monitoring of antibiotic-resistant profiles will help to guide effective antimicrobial therapy and management. 2025 The Author(s), Published by Innovative Publications. This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. https://creativecommons.org/licenses/by-nc-sa/4.0/ -
Philanthropic and Functional Motivation of DREAMS Afterschool Intervention Programme Volunteers: A Correlational Study
Rapid increase in access to information and communication technology among youths have changed their approach towards life. Present study aims to find the relationship between philanthropy and functional motivation among fresh DREAMS volunteers. Study adopted two standardized tool to measure philanthropy and functional motivation. Study selected all the fresh 255 volunteers who just joined DREAMS afterschool intervention programme (AIP), which included 25 boys and 230 girls. Study employed descriptive correlational design and administered the survey questionnaire to participants of the study. Statistical analysis of the data revealed a significant positive moderate correlation between philanthropy and functional motivation. Philanthropy could explain 11.8% variation in functional motivation of fresh volunteers. Quartile points explains almost 74% of the participants fared high on functional motivation than philanthropy. Thus, present day youths have high functional motivation to volunteer than philanthropy. Future researchers may delve into the root cause for lack of philanthropic mindset among gen Zs. 2024 Asian Journal of Human Services, All rights reserved. -
PHILOSOPHICAL POSTHUMANISM: A RENEWED WORLDVIEW AND A METHODOLOGICAL FRAMEWORK FOR CRITICAL ANALYSIS
Exponential technological advances capture the zeitgeist of contemporary society. Machines are increasingly gaining agency, which helps in the deconstruction of the humanist notion of humans. Society takes a posthuman turn with large-scale humanmachine imbrication and nonhuman agency. The posthuman turn is also reflected in the academic world, which is seriously contemplating the integration of posthumanities. The philosophical posthumanism of Francisca Ferrando is a posthuman theory with three constituent elements: post-humanism, post-anthropocentrism, and post-dualism. Post-humanism revisits the definition of human that has given rise to marginalization within the human species. Post-anthropocentrism critiques the human superiority and exceptionalism that have led to the marginalization of other species. Post-dualism revisits the dualistic mindset that allows hierarchical sociopolitical constructions. Ferrando presents a vision of a posthuman utopian society that recognizes pluralistic voices within the human species on egalitarian terms, accepts and values the agency of nonhuman actors, and sheds the dualistic view of life that keeps humans and nonhumans on either side of the binary system. Philosophical posthumanism can be suitable as a methodological framework to analyze the posthuman discourses in literary works, specifically in science fiction. 2024 The Pennsylvania State University, University Park, PA. -
Phishfort - Anti-phishing framework
Phishing attack is one of the most common form of attack used to get unauthorized access to users' credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily. 2018 Authors. -
Phishing attack detection using Machine Learning
Phishing is a type of digital assault, which adversely affects people where the client is coordinated to counterfeit sites and hoodwinked to screen their touchy and private data which integrates watchwords of records, monetary data, ATM pin-card data, etc. Recently safeguarding touchy records, it's fragile to cover yourself from malware or web phishing. AI is an investigation of information examination and logical investigation of calculations has demonstrated outcomes. Contradicting phishing sprinters with remarkable perception and felonious outcomes comparable as care shops, and custom against phishing approaches. This paper examines the association of Machine Literacy routes in identifying phishing assaults and records their advantages and drawbacks. There are countless Machine Learning calculations that have been dug to proclaim the relevant decision that act as against phishing apparatuses. We made a phishing section framework that extracts capacities that are expected to descry phishing. We likewise utilize numeric outline, as well as an overall investigation of customary Machine Learning methodologies comparable as Decision Tree, Random Forest, Multi-layer Perceptron's, XG Boost Classifier, SVM, Light BGM Classifier, Cat Boost Classifier, and covering grounded highlights choice, which contains the metadata of URLs and assists with deciding if a site is licit or not. 2022 The Authors -
Phonon limited diffusion thermopower in phosphorene
A theoretical investigation of diffusion thermopower, Sd, of phosphorene employing Boltzmann transport formalism is presented. We assume carriers in phosphorene to be scattered by in-plane single and flexural two-phonon processes via deformation potential coupling. Our calculations of Sd in phosphorene show that, at low temperatures (T?< 20 K) Sd increases linearly with temperature and for the range of temperatures considered single phonon contribution to Sd dominates. As function of carrier concentration, ns, considered (1016?1018 m-2), at T = 300K, Sd decreases from 189?V/K to 9.9 ?V/K. 2017 Author(s). -
Phosphorus-doped molybdenum disulfide as counter electrode catalyst for efficient bifacial dye-sensitized solar cells
MoS2 is a promising counter electrode material for dye-sensitized solar cell owing to its optical and electrical properties and two-dimensional layered structure. However, it still suffers from minimal conductivity, poor charge transport and less active sites. The present study offers a promising method for enhancing catalytic and fast charge transfer in MoS2 through heteroatom doping of phosphorus. A facile one-step hydrothermal treatment was acquired to do the phosphorus doping. The spin-coated P-doped MoS2 (MSP2) counter electrode (CE) shows a superior power conversion efficiency of 7.93% for front illumination and 5.34% for rear illumination, outperforming Pt-based (7.41% and 5.75%) CE. Thus, phosphorous incorporation increases the number of active sites and improves the catalytic property of the material. The P-doped MoS2 (MSP2) CE film also shows high transmittance, making it a suitable choice for bifacial type of solar cell. 2023 Elsevier Ltd -
Photoaligned Liquid Crystalline Structures for Photonic Applications
With the advancement of information display technologies, research on liquid crystals is undergoing a tremendous shift to photonic devices. For example, devices and configurations based on liquid crystal materials are being developed for various applications, such as spectroscopy, imaging, and fiber optics. One of the problems behind the development of photonic devices lies in the preparation of patterned surfaces that can provide high resolution. Among all liquid crystal alignment techniques, photoalignment represents a promising non-contact method for the fabrication of patterned surfaces. In this review, we discuss the original research findings on electro-optic effects, which were mainly achieved at the Department of Electronic and Computer Engineering of the Hong Kong University of Science and Technology and the collaborating research laboratories. 2023 by the authors. -
Photoaligned nematic liquid crystals doped with palladium-immobilised carbon nanospheres for advanced low-voltage display and energy storage devices
This study presents a nematic liquid crystal (NLC), D30-17, doped with palladium-immobilised carbon nanospheres (CNS) Pd/ON10 at two different concentrations. The composites were prepared with 0.1 and 0.4 wt/wt% dopant concentrations and are referred to as Mix 1 and Mix 2, respectively. The palladium-immobilized carbon nanospheres were employed because they function as advanced materials for catalysis and energy applications owing to the catalytic properties of palladium. The sample holder used in this experiment consisted of photo-aligned cells coated with a photosensitive alignment layer, Cibacron brilliant yellow (CBY). The textural studies revealed improved alignment in the doped mixtures. The frequency- and temperature-dependent dielectric behaviour was analysed for the pure and doped systems in both the planar (at 0 V) and homeotropic (at 12 V) states. Dielectric studies showed that the relative permittivity, dielectric loss, and conductivity of the doped material increased with increasing dopant concentration compared with that of pure NLC. Compared with the pure NLC and Mix 2, Mix 1 exhibited greater dielectric anisotropy, leading to a lower threshold voltage. A reversal in the dielectric anisotropy was also observed, which was attributed to the bistable inversion in the CBY alignment layer of the photo-aligned cells. Optical studies indicated that there was no significant shift in wavelength with respect to the dopant concentration. These composites are expected to find applications in liquid-crystal-based electronic and photonic devices. This journal is The Royal Society of Chemistry, 2026 -
Photocatalytic activity of bismuth silicate heterostructures synthesized via surfactant mediated sol-gel method
A surfactant mediated sol-gel method is employed to synthesize bismuth silicate heterostructures with tunable morphologies and properties. The synthesized nanoparticle samples were characterized by XRD, FTIR Spectroscopy, SEM-EDAX and UV-DRS. The synthesized bismuth silicates exhibit excellent photodegradation against malachite green and rhodamine B dyes in the aqueous medium. Bismuth silicates (10% SiO2-Bi2O3) show superior photocatalytic property and outstanding reusability compared to pure bismuth oxide. The kinetics of the photodegradation of the dyes shows that the reaction follows first-order kinetics with the regression coefficient of 0.99. Thus, enabling Bismuth silicates heterostructures practical application as a photocatalyst for clean water. 2019 Elsevier Ltd -
Photocatalytic and antimicrobial properties of Boerhavia diffusa bio-callus synthesized Silver nanoparticles
Plant tissue culture plays a pivotal role in plant biotechnology, and offers innovative and reliable avenues for synthesizing nanoparticles. The approach is safe, replicable, and efficient for therapeutic and environmental sustainability. Despite the proven efficiency of green synthesis approaches, plant callus extracts for nanoparticle synthesis remain moderately investigated. The current study bridges the gap by synthesizing ecofriendly silver nanoparticles (Ag-NPs) using callus extracts of Boerhavia diffusa (Punarnava), an important medicinal plant with proven potential pharmacological properties. These synthesized Boerhavia diffusa-mediated Ag-NPs (BD-Ag-NPs) were characterized using UV-Vis spectroscopy, SEM, FTIR, and XRD. Spectral analysis showed spherical-shaped BD-Ag-NPs with an average size of 9 nm at wavelength 420 nm. Energy-dispersive X-ray (EDX) analysis revealed that silver ions constituted 51.78 % of the total weight of the nanoparticle solutions, while the crystalline structure of the BD-Ag-NPs was confirmed through XRD. Phytoconstituents present in the callus were utilized for capping and the reduction of Ag ions to Ag-NPs was confirmed through FTIR analysis. In addition, BD-Ag-NPs exhibited functional properties like textile dye degradation and broad-spectrum antimicrobial activities against bacterial and fungal pathogens. The current study highlights the potential of employing callus-derived nanoparticles for sustainable environment and biomedical applications. This study advances the application of green nanoparticle synthesis using tissue culture systems and makes significant contributions to addressing global challenges. 2025 The Authors