Browse Items (14421 total)
Sort by:
-
Carbonized Molybdenum Disulfide-Decorated Carbon from Waste Papaya Straws as Counter Electrode for Bifacial Dye-Sensitized Solar Cells
Abstract: Ongoing research efforts are aimed at developing bifacial dye-sensitized solar cells (DSSCs) that are both economically viable and high-performance. In this investigation, molybdenum disulfide-decorated biomass-derived carbon from waste papaya straws (MoS2@PS) was synthesized via a hydrothermal technique, and then subsequently subjected to annealing at various temperatures, referred to as PS26, PS27, and PS28. Annealing MoS2 -decorated PS resulted in an increase in surface area which was confirmed using BrunauerEmmettTeller measurements, revealing type IV isotherms with an H3 hysteresis loop showing the mesoscopic nature of PS28. The maximum recorded photovoltaic conversion efficiency was approximately 6.85% for the PS28 composite counter electrode (CE), highlighting its potential as a platinum-free alternative. Moreover, cyclic voltammetry and Tafel polarization studies confirmed the superior electrocatalytic activity of the MoS2@PS CE in the reduction process of triiodide ions (I3?). Studies on transmittance were conducted to validate the bifacial characteristics of DSSCs. The results from electrochemical impedance spectroscopy indicate that the MoS2@PS CE-based DSSCs exhibit rapid charge transfer at the electrode/electrolyte interface, with a resistance of RCT = 24.27 ? for the PS28 counter electrode. The favourable attributes of optimal conversion efficiency, high transmittance, ease of preparation, rapid charge transfer, and affordability suggest that MoS2@PS counter electrodes hold significant potential for applications in DSSCs. The Minerals, Metals & Materials Society 2025. -
Carboplatin-loaded zeolitic imidazolate framework-8: Induction of antiproliferative activity and apoptosis in breast cancer cell
The challenge with breast cancer is its ongoing high prevalence and difficulties in early detection and access to effective care. A solution lies in creating tailored metalorganic frameworks to encapsulate anticancer drugs, enabling precise and targeted treatment with less adverse effects and improved effectiveness. Zeolitic imidazolate framework-8 (ZIF-8) and carboplatin (CP)-loaded ZIF-8 were synthesized and characterized using various analytical techniques. High Resolution-transmission electron microscopy of ZIF-8 and CP@ZIF-8 indicates that the particles had a spherical shape and were nanosized. The drug release rate of CP is 98% under an acidic medium (pH 5.5) because of the dissolution of ZIF-8 into its coordinating ions, whereas 35% in a physiological medium (pH 7.4) with the addition of CP, the high porosity, and pore diameter of ZIF-8 decrease from 1243 to 1041m2/g. Breast cancer MCF-7 cells were shown greater IC50 in CP@ZIF-8 (15.013.03g/mL) than free CP (34.984.25g/mL) in an in vitro cytotoxicity assessment. The cytotoxicity of the CP@ZIF-8 against MCF-7 cells was studied using the methylthiazolyldiphenyl-tetrazolium bromide method. The morphological changes were examined using fluorescent staining (acridine orangeethidium bromide and Hoechst 33258) methods. The comet assay assessed the DNA fragmentation (single-cell gel electrophoresis). The results from the study revealed that CP@ZIF-8 can be used in the treatment of breast cancer. 2024 International Union of Biochemistry and Molecular Biology, Inc. -
Carboplatin-loaded zeolitic imidazolate framework-8: Induction of antiproliferative activity and apoptosis in breast cancer cell
The challenge with breast cancer is its ongoing high prevalence and difficulties in early detection and access to effective care. A solution lies in creating tailored metalorganic frameworks to encapsulate anticancer drugs, enabling precise and targeted treatment with less adverse effects and improved effectiveness. Zeolitic imidazolate framework-8 (ZIF-8) and carboplatin (CP)-loaded ZIF-8 were synthesized and characterized using various analytical techniques. High Resolution-transmission electron microscopy of ZIF-8 and CP@ZIF-8 indicates that the particles had a spherical shape and were nanosized. The drug release rate of CP is 98% under an acidic medium (pH 5.5) because of the dissolution of ZIF-8 into its coordinating ions, whereas 35% in a physiological medium (pH 7.4) with the addition of CP, the high porosity, and pore diameter of ZIF-8 decrease from 1243 to 1041m2/g. Breast cancer MCF-7 cells were shown greater IC50 in CP@ZIF-8 (15.013.03g/mL) than free CP (34.984.25g/mL) in an in vitro cytotoxicity assessment. The cytotoxicity of the CP@ZIF-8 against MCF-7 cells was studied using the methylthiazolyldiphenyl-tetrazolium bromide method. The morphological changes were examined using fluorescent staining (acridine orangeethidium bromide and Hoechst 33258) methods. The comet assay assessed the DNA fragmentation (single-cell gel electrophoresis). The results from the study revealed that CP@ZIF-8 can be used in the treatment of breast cancer. 2024 International Union of Biochemistry and Molecular Biology, Inc. -
Carboxymethyl Cellulose-Modified Strontium Oxide Nanoparticles: a Multifunctional Nanoplatform for C6 Glioma Therapy and Antimicrobial Applications
Glioma, a very aggressive brain tumor, poses major therapeutic challenges. The present research investigates the synthesis, characterization, and bioevaluation of carboxymethyl cellulose (CMC)-functionalized strontium oxide (SrO) nanoparticles (SrCMC) as anticancer and biocompatibility probes. SrO nanoparticles were synthesized using co-precipitation and functionalized with CMC for better dispersion and stability. Characterization by XRD, FTIR, UVVis, PL, SEM, TEM, and EDAX proved structural and optical enhancements. SrCMC showed enhanced photoluminescence with a blue shift and increased emission intensity, indicating modified surface defects. UVVis analysis revealed a slight band gap increase from 4.07eV to 4.12eV due to CMC capping. FTIR and EDAX confirmed successful functionalization, while XRD showed reduced crystallite size (32nm to 26nm) and maintained tetragonal structure. SEM and HRTEM revealed improved dispersion and decreased lattice spacing in SrCMC, reflecting surface stabilization by CMC. For in vitro tests on C6 glioma cells, the cytotoxicity was found to be time- and dose-dependent with IC?? values of 22.1, 17.6, and 14.8g/mL for SrO and 20.3, 15.8, and 12.6g/mL for SrCMC after 24, 48, and 72h respectively. In vivo biocompatibility was assessed using zebrafish embryos exposed to SrCMC nanoparticles at 0.5mg/mL and 1mg/mL across various time intervals. The agar well diffusion method was employed to assess the antimicrobial activity against the following pathogens including Gram-positive (S. pneumoniae, B. subtilis), Gram-negative (K. pneumoniae, S. dysenteriae), and fungal (C. albicans) strains. The results revealed SrCMC exhibited significant inhibitory effects against all tested organisms and comparable to streptomycin. This work shows SrCMCs potential for biomedical applications, subject to careful control of toxicity. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Carcinogens in Food: Evaluating the Presence of Cadmium, Lead, in Poultry Meat in South India
Objective: Local chickens were spontaneously sampled and slaughtered in the central markets of Coimbatore, Erode, and Namakkal districts, South India. Materials and Methods: Wet digestion was used to extract lead (Pb), cadmium (Cd), and zinc (Zn) in their blood and selected different organs (intestine, breast, liver, and gizzard), and their concentrations were measured using an atomic absorption spectrophotometer. Results: Apart from the blood of chickens from Coimbatore and Namakkal, where Pb was not found, the concentrations of Pb in the blood and organs of chickens from the three towns ranged from 1.8 to 8.33 mg/kg, exceeding the maximum tolerance thresholds (0.1 mg/kg) in internal organs of poultry birds. Except for the intestine of chickens from the three areas, Cd was only found in the heart, blood, and gizzard of Erode chickens, as well as the liver and gizzard of Namakkal chickens, in concentrations ranging from 0.13 to 0.58. According to threshold level, the upper limit met the maximum limits (0.5 mg/kg). Zn was found in all sections of chickens from the three selected districts, with concentrations ranging from 4.96 to 174.17 mg/kg. Conclusion: Its concentrations were within the permissible limits (10-50 mg/kg) in some areas of certain chickens, but it surpassed the permissible limit in the liver of chicken from Coimbatore. Any organs and blood from local chickens sold in Coimbatore, Erode, and Namakkal areas can be hazardous to ones health. This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License -
Cardiac Endothelial Impairment in the Danio Rerio Due to Change in the Circadian Rhythm
Light is one of the environmental factors which regulates the circadian rhythm in humans and animals. Circadian rhythm is a light and dark cycle which controls awakeness and sleepiness. Circadian rhythm regulates all the physiological functions. Artificial light at night disrupts the circadian rhythm in the population. Mostly developing and developed country population is very much prone to the disturbance in the circadian rhythm as shift work becomes very common. In this study we have disturbed the circadian rhythm of the Danio rerio by continuously exposing them to bright light and disturbing their resting period by creating surface waves for 96 h. At regular intervals, triplicates were meticulously extracted from control and experimental tanks, their hearts tenderly dissected and preserved in formaldehyde for subsequent analysis. Through the lens of a microtome, the intricate architecture of cardiac tissue unveiled a disquieting narrative, after 48 h and 72 h show trabeculae and necrosis in the inner layer of the ventricles and lumens were seen in the bulbus arteriosus. These findings not only mirror the cardiac consequences observed in humans experiencing circadian disruptions but also underscore the potential of zebrafish as valuable models for investigating pharmacological interventions aimed at mitigating such cardiovascular consequences. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Cardiovascular Disease Prediction through Ensembled Transfer Learning on Cardiac Magnetic Resonance Imaging
Cardiovascular Diseases (CVD) cause more deaths worldwide than most of the other diseases. The diagnosis of cardiovascular disease from Magnetic Resonance Imaging plays a major role in the medical field. The technological revolution contributed a lot to increase the effectiveness of CVD diagnosis. Many Artificial Intelligence methods using Deep Learning models are available to assist the cardiologist in the diagnosis of CVD from Magnetic Resonance Imaging (MRI). In this study, we leverage on the merits of deep learning, transfer learning, and ensemble voting to improve the accuracy of Artificial Intelligence-based CVD detection. VGG16, MobileNetV2, and InceptionV3, trained on ImageNet, are the models used and the dataset is the Automatic Cardiac Diagnosis Challenge dataset. We customized the classification layers of all three models to suit the CVD detection problem. The results from these models are ensembled using the soft-voting and hard-voting approaches. Test accuracies obtained are 97.94% and 98.08% from hard-voting and soft-voting respectively. The experimental results demonstrated that the ensemble of outputs from transfer learning-based Deep Learning models produces much improved results for CVD diagnosis from MRI images. 2022 Sibu Cyriac, Sivakumar R. and Nidhin Raju. This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Cardiovascular Disease Prediction Using Machine Learning-Random Forest Technique
Cardiovascular diseases (CVDs) pose a significant global health challenge. Early and accurate diagnosis is crucial for effective treatment. This research focuses on developing a robust classification system for CVDs using machine learning techniques. This study proposes an enhanced Random Forest (RF) model optimized for big data environments and explore the potential of CNN-based classification. By leveraging medical imaging data and employing these advanced algorithms, we aim to improve the accuracy and efficiency of CVD diagnosis. 2024 IEEE. -
Cardless Society: Assessing the Role of Cardless ATMs in Shaping the Future of Financial Transactions
The ubiquitous ATM faces a critical crossroads in a world where the digital pulse is becoming more and more ingrained. The sound of plastic clicking, which used to be a comforting symbol of financial independence, is becoming less audible in the background noise of near-field communication and the Erie silence of digital scans. This study goes beyond the physical card and explores the unexplored world of cardless ATM technology, where security, convenience meet and innovation completely reimagines the process of getting cash. The meticulous analysis and potential use of technology can completely twist the dynamic rhythm of this world. 2024 IEEE. -
Career Resilience and Advancement: A Research Note on Women in Indian IT
Purpose: The representation of women in the Information Technology (IT) industry in India is higher than in other sectors. However, many women leave the industry after five years of employment. Organizations are concerned about the gender gap in leadership positions within this sector. The paper suggested that career resilience (CR) is a strategic method for retaining and advancing women in IT professions. Methodology/Approach: The paper employed an interpretive synthesis approach. Literature from peer-reviewed sources on CR, career development, and career advancement of women professionals was reviewed. Findings: The synthesis of literature highlighted the role of CR in improving women's continued participation in the industry. The findings suggested building resilience through organizational interventions as a way forward to creating a more gender-equitable workforce. Practical Implications: The strategies presented are practical and feasible for IT organizations to create a more inclusive workspace. These strategies are designed to empower organizations to take meaningful steps for an equitable workforce. Originality: The paper presented a comprehensive approach to sustaining and advancing women in the IT industry in India. 2025, Associated Management Consultants Pvt. Ltd. All rights reserved. -
Carmelight Trends in Social Sector Expenditure
The Multidisciplinary National Journal, Vol-10 (1), pp. 77-96. ISSN-0975-9484 -
Carrying capacity assessment for religious crowd management - An application to sabarimala mass gathering pilgrimage, India
Crowd Management is always a challenging task when people gather in large numbers. Crowd disasters in India, including recurring incidents at religious venues, demands a crowd management system developed on the characteristics of the place, event, and participants. Assessment of carrying capacity is the prime process to design crowd management protocols and regulations. Carrying capacity assessment of religious gathering venues in India is often an overlooked process. The present study assessed the crowd carrying capacity of Sabarimala pilgrimage, Kerala, India. Physical carrying capacity assessment methods used for tourism venues have been applied and contextualised for crowd carrying capacity assessment. Characteristics of the venue, pilgrimage and pilgrims were studied to map the active crowd area and space utilisation zones. The physical carrying capacity was estimated based on the comfortable crowd density and threshold crowd density assessments. The study identified two factors influencing pilgrim movement within the venue viz. service level at the holy step and capacity of the darshan facility. Service level at the holy step is the prime factor that regulates the flow of the pilgrim within the venue including the pilgrim movement for deity darshan and hence the comfortable capacity of the holy step was distinguished as the effective carrying capacity of the venue. Physical carrying capacity at the comfortable crowd density has to be maintained throughout the event to avoid the triggering of crowd crushes. The crowd carrying capacity assessment (CCCA) method applied in this study is a simple process. Considering the crowd density and crowd regulation factors, the CCCA method can be applied to design crowd management protocols of other religious pilgrimage destinations in India. International Journal of Religious Tourism and Pilgrimage -
Case Analysis of Evolving and Successful Practices in Water Governance in Asia
Water governance is a critical issue across Asia, where countries face escalating challenges such as water scarcity, pollution, and inefficient management systems. This paper contributes to the field by offering a comparative analysis of innovative and successful governance practices from multiple Asian countries, including Pakistan, Turkey, Kyrgyzstan, and Jordan. Unlike prior studies that focus on isolated national or local contexts, this research synthesizes diverse governance models to highlight scalable innovations and transferable strategies. Key insights include the effectiveness of decentralized governance frameworks, inclusive stakeholder engagement, and data-driven policy integration. These practices are evaluated for their potential to inform context-specific water management solutions that are both sustainable and resilient. The study also emphasizes the alignment of governance strategies with the United Nations Sustainable Development Goals (SDGs), particularly SDG 6 (Clean Water and Sanitation), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). By bridging theoretical insights with practical applications, the research addresses critical gaps in the literature and provides actionable frameworks for policymakers to strengthen water security across the region. 2025 Policy Studies Organization. -
Case studies: multimodal applications in natural language processing
This chapter explores the incorporation of natural language processing (NLP) with multimodal information sources, including text, speech, and visual information, towards the improvement of practical applications. NLP may very significantly enhance tasks such as sentiment analysis, image captioning, and cross-modal retrieval by combining these modalities. Two examples of deep learning approaches are neural networks and transformers, which are examples of critical approaches for developing robots that analyze and understand complex multimodal inputs. The chapter is full of case examples that illustrate how multimodal NLP can revolutionize many industries, including healthcare data analysis and voice-activated assistant development. These illustrations demonstrate how NLP can enhance user interactions and decision-making processes by offering deeper, more contextual insights. In fact, the chapter also covers issues and ways ahead of multimodal NLPas integrating data, handling faulty or missing data, and how to resolve ethical dilemmas. These ongoing changes will define future artificial intelligence systems with increased adaptability, intuitiveness, and applicability. 2026 Elsevier Inc. All rights reserved. -
Case study: Impact of Industry 4.0 and its impact on fighting COVID-19
The emerging development in industrial technology for automation and data sharing is known as Industry 4.0. It incorporates the Internet of Things, Cyber-physical systems, and Cloud computing, all of which contribute to the development of a "smart factory". Customers, distributors, vendors, and stakeholders in the supply chain would be capable of connecting and can exchange data easily through Industry 4.0. The COVID-19 pandemic is quickly spreading and posing a threat to people all over the world. Employment and activities in all markets have been disrupted, putting economies all over the world in serious jeopardy. To combat the pandemic, retailers will benefit from Industry 4.0 because it will help to mitigate the impact of identified risks. I4.0 executives were focused on gaining a competitive edge, rising efficiency, lowering prices, and, ensuring profitability as their primary aim was to enhance the productivity of business during the time before the COVID-19 crisis. Our Government has imposed new behavioral trends including social distancing, isolation and, lockdown. The Government needs additional financial resources to combat pandemics as a result of these actions, there has been a global economic slowdown. This chapter enlightens the significance and technologies of Industry 4.0, showing how those technologies and applications help in attaining a better society. It also explains how Industry 4.0 helps in accomplishing sustainable manufacturing and the management tactics it used to boost the company's efficiency, as well as the effects of COVID-19. 2023 Bentham Science Publishers. All rights reserved. -
Cashless Confidence: Exploring the Influence of Digital Payments on Gen Z Consumption Patterns
The rapid growth of digital payment systems has significantly changed financial behaviors, especially among Generation Z. This group consists of digital natives whose buying habits are closely linked to technology. Using qualitative thematic analysis, which identifies common themes in qualitative data, this research reviews various studies and reports on financial technology adoption. It looks at how mobile wallets, UPI platforms, QR-based payments, and new fintech solutions affect Gen Z's spending habits, views on money, and financial choices in India. Drawing from existing literature, empirical research, and theories like behavioral economics and the Technology Acceptance Model (TAM), the paper brings together evidence on the psychological, social, and cultural factors behind digital payment adoption. The findings show that ease of use, peer influence, gamification features, and social media-driven consumption greatly motivate Gen Z to use cashless transactions. However, these same factors may lead to risks such as impulsive buying, accumulating debt through Buy Now Pay Later (BNPL) services, and privacy issues. Gender dynamics, urban-rural divides, and differences in financial literacy further complicate these trends. Meanwhile, digital platforms are promising for improving financial management through budgeting tools and investment apps. The paper concludes that digital payments are not just replacing cash; they are transforming financial identities, consumption culture, and intergenerational attitudes toward money. Insights from this study have important implications for policymakers, financial institutions, and educators looking to promote responsible, inclusive, and sustainable digital payment systems for the future economy. 2026 by IGI Global Scientific Publishing. All rights reserved. -
CaSi2O5:Sm3+ Orange -Red Emitting Phosphors for Latent Fingerprint Detection Application
Orange-red emitting CaSi2O5:xSm3+ (x = 0.1, 0.2, 0.5, 1, 1.5, 2, and 2.5mol% of Sm3+) phosphors were synthesized by a high-temperature solid-state reaction. In this study, the crystal structure, phase purity, functional group presence, and their bending and stretching vibrations, photoluminescence (PL) spectra, thermoluminescence (TL) spectra, and colour purity was systematically investigated. The phosphor exhibits a strong excitation with the charge transfer band (CTB) of O2? and Sm3+ at 263nm. Under 263nm excitation, the CaSi2O5:Sm3+ phosphor shows characteristic peaks at 595nm and 629nm, which are attributed to the characteristic 4G5/2?6H7/2 and 4G5/2?6H9/2 transitions of the Sm3+ ions, respectively. The doping concentration x = 2mol% is found to be the optimal doping concentration. The CIE coordinates of the optimal concentration phosphor CaSi2O5:2Sm3+ are found to be (0.589, 0.41) in the orange-red region with a colour purity percentage of 96.93%. Judd-Ofelt analysis was also carried out with the photoluminescence emission spectrum, in order to investigate the transition dynamics. Fingerprints were developed on non-porous glass and aluminium foil substrates. The experimental results display that the CaSi2O5:xSm3+ phosphors have a huge potential for practical applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Cassava (Manihot esculenta Crantz)A potential source of phytochemicals, food, and nutrition-An updated review
Cassava (Manihot esculenta Crantz) is believed to be an important staple food crop providing potential valuable food source as well as variety of phytoconstituents. Its starchy tubers provide a significant source of energy for around 500 million individuals. Among staple crops, it is regarded to be one of the top suppliers of carbohydrates. Its physicochemical qualities, as well as its availability, have made it a captivating food component. Cassava starch is a valuable raw material used to make a variety of both native and modified starch for cooking purposes. They have also been used for a variety of industrial uses. Cassava starch and flour have the potential to be valuable alternatives to rice, maize, and wheat crops. The advantages included being a staple diet for humans, a component of animal feeds, a raw ingredient for food processing, edible coatings, locally produced alcoholic beverages, and ethanol manufacturing. The roots consist of cyanogenic glycosides, which can lead to lethal cyanide poisoning if tubers arse not properly detoxified using different processing methods include washing, fermentation, boiling, peeling and chemical processing to escape toxin content. The current review summarizes cassava's bioactive components which could be a potential source of various pharmaceutical drugs as well as a source of traditional and modern food applications. 2024 The Authors. eFood published by John Wiley & Sons Australia, Ltd on behalf of International Association of Dietetic Nutrition and Safety. -
Caste, Cricket, and Community Fraternal Intersections in Blue Star
[No abstract available] -
Casual nexus between firm ownership structure and market liquidity /
Asian Journal of Research in Banking and Finance, Vol.4, Issue 12, pp.12-22, ISSN No: 2249-7323.