Efficacy of Canine - Assisted Therapy on Social Competence among INdividuals with Autism Spectrum Disorder
Adults with Autism Spectrum Disorder (ASD), because of their deficits in social newlinecompetence, often suffer a great deal in the community. Canine-assisted therapy (CAT) seems to be a useful approach to improve social functioning. This study aimed to investigate whether CAT can assist in improving the social competence of adults newlinewith ASD. The study employed an ABAB single case experimental design with four newlineparticipants. The social performance and social interactions with the therapy dog and newlinetherapist were the target measures of the study, and they were assessed using the newlineVellore Assessment of Social Performance and Animal-assisted Therapy Flowsheet. The baseline measures for the study were taken four times for 4 weeks for two newlinebaseline/reversal phases of the study. CAT was delivered by a trained dog along with newlinea certified animal-assisted practitioner twice a week for 4 weeks for 45-60 minutes newlineduring two intervention phases. The results were interpreted using descriptive, newlinegraphical, and numerical analysis. The mean scores indicated improvement in social newlineperformance and social interaction scores in the intervention phases. The visual newlineinspection showed similar results as indicated by the increasing trend line in newlineintervention phases. The results of the non-overlap of all pairs showed a medium to newlinestrong effect of CAT on improving social performance. The results validated the use newlineof CAT in the enhancement of social competence among adults with ASD. The study newlinesignificantly contributed to the field of CAT as well as has implications for aiding the newlineintegration of adults with ASD into mainstream society by enhancing their social newlinefunctioning.
Efficacy of digital MBCT-PD in preventing postpartum depression and enhancing work motivation: A study protocol
Mindfulness-based cognitive therapy (MBCT); Postpartum depression; Well-being, study protocol; Work motivation
Background: Postpartum depression (PPD) is a significant challenge for women transitioning back to work. While preventive measures are essential, the effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) in this context remains underexplored. This study will assess the efficacy of a digital MBCT program (MBCT-PD) in preventing PPD, enhancing well-being, and motivating work resumption after childbirth. Methods: A randomized controlled trial (RCT) with repeated measures will evaluate MBCT-PD, a digitally delivered intervention designed to promote mindfulness and emotional resilience. Eighty consenting pregnant women aged 18+, between 16 and 32 weeks gestation, residing in urban India will be recruited and randomized to either the MBCT-PD group or an enhanced treatment-as-usual (TAU) control group, which includes additional prenatal wellness resources. The intervention will span eight weeks, with assessments at baseline, post-intervention (T1), and six weeks postpartum (T2). Primary outcomes are depression (Edinburgh Postnatal Depression Scale), well-being (Pregnancy Experience Scale-Brief), and work motivation (Multidimensional Work Motivation Scale). Secondary outcome is mindfulness level (Three Facet Mindfulness Questionnaire-Short Form). Descriptive statistics, repeated measures ANOVA, and regression analyses will determine the effect of MBCT-PD on these outcomes. Expected Results: We anticipate that the MBCT-PD group will show reduced PPD symptoms, improved well-being, and greater motivation to resume work than the control group, consistent with previous findings on mindfulness-based interventions. Conclusion: The findings from this study are expected to support the efficacy of MBCT-PD as a cost-effective, scalable intervention for enhancing postpartum mental health and work reintegration, with potential applications in maternal mental health practices and policies worldwide. Trial Registration: Clinical Trial Registry of India. CTRI/2024/03/064,831 2025
Ansaari N.; Kuruveettissery S.; Muralidhar A.
https://doi.org/10.1016/j.mhp.2025.200392 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214475352&doi=10.1016%2fj.mhp.2025.200392&partnerID=40&md5=94892d50a03dd7ea552975b967a6f731
Ansaari N., Department of Psychology, Christ University, India; Kuruveettissery S., Department of Psychology, Christ University, India; Muralidhar A., Department of Obstetrics and Gynecology, Cloudnine Hospital, India
Ansaari, Neda; Kuruveettissery, Sreenath; Muralidhar, Aruna
Mental Health and Prevention;Volume;37;Issue;;Article No.;200392;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1016/j.mhp.2025.200392 https://www.scopus.com/pages/publications/85214475352?origin=resultslist
Efficacy of in-person versus digital mental health interventions for postpartum depression: meta-analysis of randomized controlled trials
digital interventions; in-person interventions; meta-analysis; perinatal depression; Postpartum depression; randomized controlled trials
Aim: This meta-analysis aimed to compare the efficacy of in-person and digital mental health interventions in addressing Postpartum Depression. Methods: Following PRISMA guidelines, the protocol for this meta-analysis was registered at the Open Science Framework (Retrieved from osf.io/wy3s4). This meta analysis included Randomized Controlled Trials (RCTs) conducted between 2013 and 2023. A comprehensive literature search identified 35 eligible RCTs from various electronic databases. Inclusion criteria focused on pregnant women over 18 years old, encompassing antenatal depression and up to two years postpartum. Diagnostic interviews or Edinburgh Postnatal Depression Scale (EPDS) were used to establish PPD. Digital interventions included telephonic, app-based, or internet-based approaches, while in-person interventions involved face-to-face sessions. Results: The meta-analysis revealed a moderate overall effect size of ?0.69, indicating that psychological interventions are effective for PPD. Digital interventions (g = ?0.86) exhibited a higher mean effect size than in-person interventions (g = ?0.55). Both types of interventions displayed substantial heterogeneity (digital: I2 = 99%, in-person: I2 = 92%), suggesting variability in intervention content, delivery methods, and participant characteristics. Conclusion: Digital mental health interventions show promise in addressing PPD symptoms, with a potentially greater effect size compared to in-person interventions. However, the high heterogeneity observed in both modalities underscores the need for further research to identify key drivers of success and tailor interventions to diverse populations. Additionally, the choice between digital and in-person interventions should consider individual needs and preferences. Ongoing research should further investigate and optimise intervention modalities to better serve pregnant women at risk of PPD. 2024 Society for Reproductive & Infant Psychology.
Ansaari N.; Rajan S.K.; Kuruveettissery S.
Journal of Reproductive and Infant Psychology
Ansaari N., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Rajan S.K., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Kuruveettissery S., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India
Ansaari, Neda; Rajan, Santhosh Kareepadath; Kuruveettissery, Sreenath
Journal of Reproductive and Infant Psychology;Volume;43;Issue;4;pp.1067-1087
https://doi.org/10.1080/02646838.2024.2303470 https://www.scopus.com/pages/publications/85182499434?origin=resultslist
Efficacy of Nanomaterials and Its Impact on Nosocomial Infections
Antimicrobial agents; Detection methods; Microbial pathogens; Nanomaterials
Nanotechnology provides the ability to manipulate the properties of materials by using their size, and this has lead research towards a massive amount of plausible uses for nanomaterials. Irresistible maladies can occur, and they create an impressive burden on general wellbeing worldwide. The incident of these ailments is higher in developing nations. Irresistible maladies might be caused by microscopic organisms, infections, and protozoa, and the diseases they cause are often resistant to traditional treatment bringing about protracted contamination and higher mortality risk. In connection to that, the patients infected with these smaller scale creatures, that may prove resilient for an extended period of time, can be transmitters of these diseases to others. The recuperating of irresistible maladies is possible by metal-based nanoparticles that are plausible therapeutics for the treatment of irresistible ailments and their natural productivity. Metal-based nanoparticles that have been accounted for with antibacterial movement include silver, iron, iron oxide, copper oxide, zinc oxide, aluminum oxide, titanium dioxide, gold, and gallium nanoparticles. Present day improvements in nanotechnology enable us to handle this issue at two levels: diagnostics and treatment. Elimination of irresistible microorganisms requires effortless and exact recognition of the irresistible agents for suitable treatment. Various nanomaterials have been considered for the management of and cautious measures for irresistible ailments. Recently, nanomaterials have improved the treatment, diagnostics, and avoidance of irresistible illnesses. Built nanoparticles have been progressively utilized in irresistible infection management caused by microorganisms. Progress in nanoparticle-based frameworks involve a confident research region with basic ramifications for the recuperating of bacterial contaminations. Nanosystems have been shown to be beneficial, and different approaches dependent on nanoparticles have been expanded to see unambiguous agents. Various purpose-of-care (POC) tests have been anticipated that can propose results earlier, simpler, and at less expense than known strategies and can even be used in difficult to reach areas for viral determination. Quorum sensing is a boosts reaction substance formulation strategy interrelated with population density that microorganisms use to authorize biofilms development. Research is ongoing concerning the antimicrobial movement of nanoparticles, contrasting it by methods for and the motivation behind the natural extract of therapeutic plants, and concentrating on anti-toxin protections of pathogenic microscopic organisms. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Kalitha Parveen P.; Christobher S.; Balasubramanian B.; Kaliannan D.; Pappusamy M.; Meyyazhagan A.
Nanotechnology in the Life Sciences, pp. 237-260.
Springer Science and Business Media B.V.
Kalitha Parveen P., PG Department of Zoology, Hajee Karutha Rowther Howdia College of Arts and Science, Tamil Nadu, Uthamapalayam, India; Christobher S., Department of Zoology, Nallamuthu Gounder Mahalingam College, Tamil Nadu, Pollachi, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, South Korea; Kaliannan D., Zoonosis Research Center, Department of Infection Biology, School of Medicine, Wonkwang University, Iksan, South Korea; Pappusamy M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India
Efficacy of Natural Zeolite and Metakaolin as Partial Alternatives to Cement in Fresh and Hardened High Strength Concrete
Urbanization and industrialization have dramatically increased the manufacture of cement causing substantial pollution of the environment. The primary global concern related to cement manufacture has been the management of the large carbon footprints. The usages of environmentally friendly cementitious materials in the construction of structures have proved to be a viable option to deal with this environmental concern. Therefore, it is necessary to further explore the usage of cementitious materials which can replace cement albeit partially. In this direction of research, two such cementitious materials, namely, natural zeolite and metakaolin have been investigated in this study. High-strength concrete M60 with natural zeolite and metakaolin as the partial replacements for the cement has been prepared in this work. Polycarboxylic ether-based superplasticizer solution has been used to enhance workability. The test specimen cast and cured for 3, 7, 28, 60, and 90 days at ambient room temperature has been tested for compressive strength, split tensile strength, and flexural strength as per the Indian standards. The optimum mix of high-strength concrete thus manufactured has met the Indian standards, and the combination of cement +5% natural zeolite +10% metakaolin has exhibited the highest compressive, split tensile, and flexural strengths at 90 days of curing. Natural zeolite and metakaolin when used in smaller proportions have increased the concrete strength, and these materials are recommended for partial replacement of cement. 2021 Iswarya Gowram et al.
Gowram I.; Beulah M.; Sudhir M.R.; Mohan M.K.; Jain D.
Advances in Materials Science and Engineering, Vol-2021
Gowram I., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Beulah M., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Sudhir M.R., Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Mohan M.K., Department of Science and Humanities, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Jain D., Department of Construction Technology and Management, Bule Hora University, POB 144 Oromia, Ethiopia
Efficacy of priniciple based accounting on internal governance and financial performance
The introduction of IFRS has fuelled the expectation of users of financial newlinestatements on the potential benefits of adoption. Studies have indicated the newlinebenefits of IFRS adoption such as higher comparability of financial statements among companies operating in different jurisdictions, reduces transaction costs, and access to international capital through cross border listings and greater foreign investment (Aharony, Barniv and Falk, 2010 and newlineDunne, et al. 2008). Several studies have been done to analyze the consequences of IFRS adoption on financial statement items (Lantto and Sahlstrom, 2009; Dunne et al. 2008). Most of these studies were restricted to European countries and some Australian and Canadian countries as they were the early adopters. India has planned to converge with IFRS and not adopt. Adoption means applying IFRS as issued by IASB. Convergence means India would newlineharmonize its national accounting standards in compliance with IFRS as this provides freedom to protect the local business environment. These harmonized accounting standards are notified by Ministry of Corporate Affairs and are called Ind AS. As on date 39Indian accounting standards newlineharmonized with IFRS has been notified by Ministry of Corporate Affairs newline(ICAI,2015a). A road map for convergence with IFRS was notified by Ministry of newlineCorporate Affairs in a phased manner effective April 2011 (MCA, 2010). newlineAs the deadline was not met due to various reasons, a revised notification newlineand implementation roadmap has been issued by MCA in Feb, 2015 recommending Indian Companies with a net worth of over Rs. 500 Crore to converge with IFRS with effect from 1st April 2016 (ICAI, 2014; MCA,2015). newlineThe Finance Minister had also in his budget speech of 2014-15, indicated that Indian companies have to report IFRS voluntarily from 2015-16 and mandatorily from 2016-17 to make financial statement of Indian Companies newlinecomparable to 120 countries which are already reporting and also to fulfill the commitment made to G20 nations.
Efficacy of Psychosocial Care Training Programme for the Staff Working in Old Age Homes
ageing; geriatric mental health; Old age homes; psychosocial care training
Background: Training the old-age home staff is essential in raising geriatric mental health care standards in India. Inadequate knowledge on ageing and psychosocial interventions is a significant issue in old-age homes. Old-age home staff must know how to provide individualized psychosocial care and support for older adults. Hence this study aimed to test the feasibility of the psychosocial care training program for the staff working in old-age homes. Methods: A quasi-experimental research design (pre-post without a control group) was used. Forty-two staff members participated. Mary Starke Harper Aging Knowledge Exam (MSHAKE) and structured checklist to measure the staffs knowledge on ageing, psychosocial interventions, welfare legislations, schemes, and support services were administered before, immediately after, and two months after the program and the self-efficacy checklist was administered immediately and two months after the program, to examine the efficacy of the program. Results: Significant improvement was found in the ageing knowledge and the knowledge of psychosocial intervention and psychosocial care. These improvements continued for two months (p <.001). Similarly, their self-efficacy in managing such problems was also sustained across two post-measurements (p =.045). Conclusions: Face-to-face training programs would enhance the knowledge of the old age home staff. This Psychosocial Care Training module can be used for training old age home staff to address various psychosocial needs, concerns and other psychosocial problems of the residents. 2023 The Author(s).
Shivarudraiah M.; Ammapattian T.; Antony S.; VS B.; Sivakumar P.T.
Indian Journal of Psychological Medicine, Vol-46, No. 1, pp. 55-59.
All Open Access; Gold Open Access; Green Open Access
Shivarudraiah M., Dept. of Psychology, Christ University, Karnataka, Yeshwanthpur, Bengaluru, India; Ammapattian T., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Antony S., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; VS B., Dept. of Biostatistics, NIMHANS, Karnataka, Bengaluru, India; Sivakumar P.T., Dept. of Psychiatry, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India
Efficacy study of readiness for smoking cessation programme among male adolescents in bengaluru
Among the remarkably challenging preventable cause for death all over the world is cigarette smoking behavior.Smoking among adolescents in cities has proved unusually challenging in spite of determined efforts in developed and developing countries.Dearth of governmental will and source to implement wide-ranging anti-smoking policies to reverse the trends in youth smoking (StantonandMcGee,2009) makes the need to develop an attitude change towards smoking cessation very crucial in controlling the smoking behavior. newlineA novel approach to smoking cessation is considered in this study, here the emphasis newlineis laid on the importance of acquiring skills to quit rather than quitting itself. The newlineobjectives of the study were achieved through several phases, where in the relevant newlineliterature was reviewed and an apt theoretical framework was built, based on which the program content was developed and finalized under the guidance of experts in the field. The final step was the creation of a manual for the RSCP. The outcome measures were selected considering the study sample characteristics. The study was carried out by randomly assigning the study participants in the two groups with respective interventions. Outcome measures were determined before and after the training. The results indicate that the two groups significantly differed in the variable Readiness to change , Defensiveness and behavioral components of change. newlineSpecifically, the experimental group was ready to change their behavior when compared to the controlled group, suggesting that the developed RSCP facilitates adolescent s to realize a more realistic aspect of themselves relating to smoking behavior and are very much willing to make lifestyle changes which would eventually result in behavioral change among adolescents when compared to providing a general awareness on smoking behavior.
Efficiency Analysis of Modified Sepic Converter for Renewable Energy Applications
Converter; Efficiency continuous mode; Modified; Renewable; SEPIC; Voltage gain
A boosting module and a traditional SEPIC (single ended primary inductance converter) are combined to create the suggested circuit. As a result, the converter gains from the SEPIC convertera's many benefits. Also, the converter that is being presented is appropriate for renewable energy sources due to its high voltage gain and continuous input current. In comparison to a traditional SEPIC with a single-controlled switch, it offers a higher voltage gain. The voltage gains of the converter that has been suggested is closely related to that of the converter that was recently developed. This converter was constructed on the foundation of the conventional converter, as well as the conventional DC-to-DC converter. One of the most important characteristics of a projected converter is that it is equipped with a single controlled device and has the capability to increase voltage gain without the utilisation of a coupled inductor structure or transformer. The non-idealities of the semiconductor devices and passive components have been taken into consideration in the analysis of voltage gain in continuous current mode (CCM). The conventional SEPIC converter can be modified by incorporating capacitors and diodes. The experimental results indicate that this converter can amplify the output voltage by approximately 10 times and has an efficiency of around 97%. The Authors, published by EDP Sciences, 2024.
Rao D.S.N.M.; Jasmin M.; Pandey M.; Almusawi M.; Ramadan G.M.; Senthil Kumar R.
https://doi.org/10.1051/e3sconf/202456401007 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203812459&doi=10.1051%2fe3sconf%2f202456401007&partnerID=40&md5=dedfc66e63f9763647c6824974304b44
Rao D.S.N.M., Department of EEE, GRIET, Bachupally, Telangana, Hyderabad, India; Jasmin M., New Prince Shri Bhavani College of Engineering and Technology, Chennai, India; Pandey M., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, India; Almusawi M., Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq; Ramadan G.M., College of MLT, Ahl Al Bayt University, Karbala, Iraq; Senthil Kumar R., AAA College of Engineering & Technology, tamil Nadu, Sivakasi, India
Efficiency Enhancement using Least Significant Bits Method in Image Steganography
Decode; Encode; Least Significant Bit (LSB) method; Steganography
Over the years, there has been a tremendous growth in the field of steganography. Steganography is a technique of hidden message passing i.e. transferring a message which is not visible to human eyes, through some media such as an image, music, games etc. In this particular article we focus on Image steganography which has its own advantages and has undergone a lot of improvements in the past years. The most basic image steganography can be achieved by changing the LSBs (Least Significant Bits) of the image pixels. These bits can usually be called the redundant bits. However, changing a large numbers of LSBs of an image can distort the image to an extent where it would be easily noticeable that the image maybe carrying a hidden message rendering it useless. These LSBs are changed according to the message bits allowing the person to hide their data which can be decoded later by reading the LSBs of image pixels. This paper introduces and explains a method to improve the efficiency of LSB method. 2022 IEEE
Subhasri P.; Santhoshkumar S.; Sumathi A.; Balakrishnan C.; Kurus Malai Selvi F.
International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings, pp. 989-994.
Institute of Electrical and Electronics Engineers Inc.
Subhasri P., Alagappa Institute of Skill Development, Alagappa University, Tamil Nadu, Karaikudi, India; Santhoshkumar S., Department of Computer Science, Alagappa University, Tamil Nadu, Karaikudi, India; Sumathi A., Department of CSE SRC, SASTRA Deemed to be University, Tamil Nadu, Kumbakonam, India; Balakrishnan C., Department of Computer Science, CHRIST (Deemed to be University), Yeshwantpur Campus, Bengaluru, India; Kurus Malai Selvi F., Department of Computer Science, Government College for Women, Tamil Nadu, Kumabkonam, India
Efficiency evaluation of total manufacturing sectors of India DEA approach
Efficiency; Manufacturing sector; Productivity and dea
Efficiency, Productivity and Competitiveness are some of the performance indicators of any manufacturing firm. In Indian soil manufacturing industry plays predominant role in the countrys economy. Industrialization of manufacturing sectors generates employment, income and promotes GNP. To institute suitable policy measures it is desirable to divide the total manufacturing sectors of Indian states into efficient and inefficient. This study treats the total manufacturing sectors of a state as a decision making unit. 14 states account for more than 80% of total value added. Data Envelopment Analysis models are used to assess the efficiency of total manufacturing sectors of 14 Indian states. Research India Publications.
Global Journal of Pure and Applied Mathematics, Vol-11, No. 5, pp. 3145-3155.
Venkateswarlu B., School of Advanced Sciences, VIT University, Vellore, 632014, India; Subramanyam T., Department of Statistics, Christ University, Bangalore, 560029, India
Efficiency of Indian Banks with Non-Performing Assets as Undesirable Outputs
Data Envelopment Analysis; efficiency; Indian Banks; Non-performing assets; Undesirable output
The performance evaluation of any banks is of utmost importance for bank management, investors, and policymakers. Due to globalization, all the banks are working in a competitive environment. Several risk factors affect the operational efficiency of banking system. This study aims to evaluate the efficiency of Indian banks with NPAs as uncontrolled variables. Due to the nature of NPAs, these are assumed as undesirable outputs in the DEA modelling. The results reveal that public sector banks experienced more input losses due to NPAs compared to private banks. The private banks experienced more loss in inputs due to the scale of operation. The Wilcoxon Signed-Rank test shown that the impact of NPAs and scale of operation are statistically significant at 0.05 level. 2023 American Institute of Physics Inc.. All rights reserved.
Subramanyam T.; Zalki M.; Satish Kumar V.; Amalanathan S.
Subramanyam T., Department of Mathematics and Statistics, M.S. Ramaiah University of Applied Sciences, Bangalore, India; Zalki M., Department of Mathematics, REVA University, Bangalore, India; Satish Kumar V., Department of Computer Science, East Point College of Higher Education, Bangalore, India; Amalanathan S., Department of Business and Management, Christ University, Bangalore, India
Efficiency study of coconut producer companies in India-A DEA approach
DMU; EBITDA; FPC Model; Technical Efficiency
The concept of the Farmer Producer Company (FPC) model has been a hot issue, especially during the 2020-21 Indian farmers' protest. Considering the pioneering initiatives of the Coconut Development Board (CDB) in setting up CPCs, we compare the technical efficiencies of CPCs that focus on coconut and its byproducts in Rural India for two consecutive financial years (2018-19 and 2019-20). Coconut Producer Companies' efficiency scores are estimated using Data Envelopment Analysis (DEA), a mathematical technique to assess technical efficiencies across homogeneous units. The results reveal that 35.11 percent of the sampled CPCs for FY 2018-19 are overall technical efficient, and approximately 76 percent are purely technical efficient. It is found that technical inefficiency is reported for a few CPCs due to scale inefficiency. The overall technical and pure technical efficiency have improved in FY 2019-20 compared to the previous period. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad.
Emerging Trends and Innovations in Industries of the Developing World: A Multidisciplinary Approach, pp. 7-13.
Kappil S.R., Central University of Haryana, India; Sahoo A.K., Central University of Haryana, India; Joseph A., CHRIST (Deemed to be University), India
Efficiency Wage and Productivity in the Indian Microfinance Industry: A Panel Evidence
Efficiency wage; financial sustainability; India; microfinance; microfinance institutions; mission drift; outreach
Enhanced productivity remains a crucial agenda for firms to attain cost and competitive advantages in the market. Hence, the main purpose of this study is to investigate the effects of efficiency wage (EW) on the productivity of microfinance institutions (MFIs) with respect to their dual objectives, namely, outreach (depth and breadth) and financial sustainability. Unbalanced panel data of 179 Indian MFIs were collected over the period 20102018 from the Microfinance Information Exchange (MIX) market platform (now obtainable from the World Bank catalogue). Under a static model setting (fixed effects model), the observed relationship between EW and MFIs productivity is mixed. On the one hand, EW exhibits a strong and statistically significant positive relationship with the breadth of outreach, even after considering various control variables and alternative proxies of EW. On the other hand, EW shows no positive influence on the MFIs depth of outreach; rather, it results in a mission drift of MFIs, with the poorest of the poor being neglected (weak and insignificant for proxy of EW). Concerning the financial sustainability of MFIs, EW exhibits a positive and statistically significant effect, except for the profitability dimension when an alternative proxy of EW is used. A two-step system generalized method of moments (GMM) performed to limit endogeneity problems also validates most of our findings. The outcomes of this study could help MFIs managers in designing appropriate financial packages to enhance MFIs productivity and subsequently attain the dual objective of outreach and sustainability. 2022 SAGE Publications.
Mia M.A.; Pellegrina L.D.; Zhang C.; Sangwan S.
IIM Kozhikode Society and Management Review, Vol-11, No. 2, pp. 235-252.
Mia M.A., School of Management, Universiti Sains Malaysia, Penang, Malaysia; Pellegrina L.D., Department of Economics, Management and Statistics (DEMS), University of Milano-Bicocca, Piazza Ateneo Nuovo, Milan, Italy; Zhang C., School of Accounting, Nanjing University of Finance and Economics, Nanjing, China; Sangwan S., Department of Commerce, Christ University, Maharashtra, Pune, India
Efficient algorithms for enhanced performance in distributed systems
Efficient Brain Tumor Identification Based on Optimal Support Scaling Vector Feature Selection (OSSCV) Using Stochastic Spin-Glass Model Classification
brain tumor; classification; feature selection; Machine learning; MRI image processing; neural network; stochastic spin model
Brain tumor detection is a developing defect finding task in medical imaging, as premature and early identification is a critical once for recommending early treatment. The tumor are identified by the laboratory through MRI images by finding the tumor regions. The Artificial intelligence play a vital role for finding, analyzing, the image data to attain the target results in medical image using various learning methodologies. Most of the existing system failed to find the find the feature dimension leads poor accuracy for identifying tumor regions due to low precision, recall rate, lower intensity in image coverage region. To resolve this problem, to propose an Optimal Support Scaling Vector Based Feature Selection (OSSCV) brain tumor identification using Stochastic Spin-Glass Model Classification (SSGM). Initially the preprocessing is done by bilateral filter and segmentation is applied by suing Active Region Slice Window Segmentation (ARSWS). To separate the tumor entity feature projection using Histogram color quantization and the features process are carried by Optimal Support Scaling Vector Based Feature Selection (OSSCV). The selected features get trained using Stochastic Spin-Glass Model Classification (SSGM) to find the tumor region. The proposed system outperforms traditional machine learning methods in brain tumor detection. Finally proposed system of Stochastic Spin-Glass Model (SSGM) performance of recall is 95.5%, the performance of F1-score is 96.1% and the performance of the 96.5%. The proposed approach has the potential to assist radiologists in diagnosing brain tumors more accurately and efficiently, leading to improved patient outcomes. 2024, Ismail Saritas. All rights reserved.
Veneeswari J.; Sankar Ganesh S.; Krishnasamy L.; Rengaraj T.; Suseela D.; Kumaran N.
International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 11, pp. 177-187.
Veneeswari J., Department of Information Technology, iNurture Education Solutions Private Limited, Vels University, Tamil Nadu, Chennai, 600117, India; Sankar Ganesh S., Department of Computer Science and Engineering, Kommuri Pratap Reddy Institute of Technology, Medchal, Telangana, Hyderabad, 501301, India; Krishnasamy L., Department of CSE, School of Engineering and Technology, Christ (Deemed to be) University, Bengaluru, 560074, India; Rengaraj T., Department of Electrical and Electronics Engineering, P. S. R Engineering College, Sevalpatti, Tamil Nadu, Sivakasi, 626140, India; Suseela D., Department of Artificial Intelligence and Machine Learning, Bannari Amman Institute of Technology, Tamil Nadu, Sathyamangalam, 638401, India; Kumaran N., Department of Mathematics, Veltech Rangarajan Dr.Sagunthala R&D institute of science and technology, Avadi, Tamil Nadu, Chennai, 600062, India
Efficient cationic dye removal from water through Arachis hypogaea skin-derived carbon nanospheres: a rapid and sustainable approach
The present study investigates the potential of Arachis hypogaea skin-derived carbon nanospheres (CNSs) as an efficient adsorbent for the rapid removal of cationic dyes from aqueous solutions. The CNSs were synthesized through a facile, cost-effective, catalyst-free and environmentally friendly process, utilizing Arachis hypogaea skin waste as a precursor. This is the first reported study on the synthesis of mesoporous carbon nanospheres from Arachis hypogaea skin. The structural and morphological characteristics of the CNSs were confirmed by different nano-characterization techniques. The adsorption performance of the carbon nanospheres was evaluated through batch adsorption experiments using two cationic dyes-methylene blue (MB) and malachite green (MG). The effects of the initial dye concentration, contact time, adsorbent dosage, and pH were investigated to determine the optimal conditions for dye removal. The results revealed that the obtained CNSs exhibited remarkable adsorption capacity and rapid adsorption kinetics. Up to ?98% removal efficiency was noted for both dyes in as little as 2 min for a 5 mg L?1 dye concentration, and the CNSs maintained their structural morphology even after adsorption. The adsorption data were fitted to various kinetic and isotherm models to gain insights into the adsorption mechanism and behaviour. The pseudo-second-order kinetic model and Redlich-Peterson model best described the experimental data, indicating multi-layer adsorption and chemisorption as the predominant adsorption mechanism. The maximum adsorption capacity was determined to be 1128.46 mg g?1 for MB and 387.6 mg g?1 for MG, highlighting the high affinity of the carbon nanospheres towards cationic dyes. Moreover, CNS reusability and stability were examined through desorption and regeneration experiments, which revealed sustained efficiency over 7 cycles. CNSs were immobilised in a membrane matrix and examined for adsorption, which demonstrated acceptable efficiency values and opened the door for further improvement. 2024 RSC.
Sharma A.; Shivanna J.M.; Alodhayb A.N.; Hegde G.
Nanoscale Advances, Vol-6, No. 12, pp. 3199-3210.
https://doi.org/10.1039/d4na00254g https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193331463&doi=10.1039%2fd4na00254g&partnerID=40&md5=c8856f21b264a8dd12ce8e97fc3b7e72
Sharma A., Department of Chemistry, School of Sciences, CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Alodhayb A.N., Department of Physics and Astronomy, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Hegde G., Department of Chemistry, School of Sciences, CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India
Efficient chemical fixation of CO2from direct air under environment-friendly co-catalyst and solvent-free ambient conditions
The capture and conversion of CO2from direct air into value-added products under mild conditions represents a promising step towards environmental remediation and energy sustainability. Consequently, herein, we report the first example of a Mg(ii)-based MOF exhibiting highly efficient fixation of CO2from direct air into value-added cyclic carbonates under eco-friendly co-catalyst and solvent-free mild conditions. The bifunctional MOF catalyst was rationally constructed by utilizing an eco-friendly Lewis acidic metal ion, Mg(ii), and a nitrogen-rich tripodal linker, TATAB. The MOF possesses a high BET surface area of 2606.13 m2g?1and highly polar 1D channels decorated with a high density of CO2-philic sites which promote a remarkably high CO2uptake of 50.2 wt% at 273 K with a high heat of adsorption value of 55.13 kJ mol?1. The high CO2-affinity combined with the presence of a high density of nucleophilic and Lewis acidic sites conferred efficient catalytic properties to the Mg-MOF for chemical fixation of CO2from direct air under environment-friendly mild conditions. The remarkable performance of the Mg-MOF for the fixation of CO2from direct air was further supported by in-depth theoretical calculations. Moreover, the computational studies provided an insight into the mechanistic details of the catalytic process in the absence of any co-catalyst and solvent. Overall, this work represents a rare demonstration of carbon capture and utilization (CCU) from direct air under eco-friendly mild conditions. The Royal Society of Chemistry 2021.
Das R.; Ezhil T.; Palakkal A.S.; Muthukumar D.; Pillai R.S.; Nagaraja C.M.
Journal of Materials Chemistry A, Vol-9, No. 40, pp. 23127-23139.
https://doi.org/10.1039/d1ta05138e https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117506707&doi=10.1039%2fd1ta05138e&partnerID=40&md5=2852ca4d73d04a577a594ac9d5c4b7f8
Das R., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Ezhil T., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Palakkal A.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Muthukumar D., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Pillai R.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India, Department of Chemistry, Christ University, Bangalore, 560023, Karnataka, India; Nagaraja C.M., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India