Punishing poverty: The economic disparity of the poor in the criminal justice system
criminal justice system; damages; discrimination; fines; poor parity
Equality before law is one of the most significant features of the Indian constitution. Anyone who seeks justice must be provided with legal support without any discrimination. An accused is also assured of penalization based on the tenets of equality irrespective of his ethnicity, religion, economic, social background, etc. Poor parity has led to discriminatory approaches in awarding punishments to offenders belonging to economically marginalised sections of society. The low paying capacity of the poor offenders gives an upper edge to the rich offenders who has better paying capacity of fines or damages and suffer less severe repercussions through the justice system. This paper will conduct a comprehensive study to identify the discrepancies in the penalization process and its implications in the dispensation of justice. It will also explore the factors such as social background, ethnicity, and economic status which play an integral part in influencing the legal and sociological perspectives of the stakeholders of the justice delivery system. It will analyze the judicial trend and legislative framework to ensure equitable justice. It will conclude with suggestions and recommendations for the formulation of robust policies to ensure a just penal administration. 2026 The Author(s).
Kaushal, Swati; Shrivastava, Vikalp; Neha
Humanities and Social Sciences: A Multidisciplinary Approach;pp.781-786
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1201/9781003771937-118 https://www.scopus.com/pages/publications/105038872175?origin=resultslist
Kaushal S., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Shrivastava V., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Neha, Amity Law School, Amity University, Noida, India
Purchase intention of deconstructed end-of-lifecycle fashion products in an online and offline retail environment
Obsolete or slow-moving inventory is one of the major influencers for the bottom line of any business today. Surplus stock- be it from overbuys, returns, defects or simply merchandise hitting the end of their lifecycle- need to be accounted, accommodated and dealt with in a manner that can least affect the planned margins. For the fashion newlinebusiness, such merchandise poses greater challenges. The business is ground by seasonal preferences, fast-changing trends, short lead-times and shorter shelf-lives. With rising costs of traditional retail businesses, the associated costs of carrying such inventory are something that the newlineretailer can easily do without. At the retailers end, such merchandise is newlineoften subjected to traditional liquidation methods such as Markdowns, carry forwards, or selling at lowered prices to discount stores or factory outlets. From a manufacturer s perspective, overruns from production newlineare either sold at discounted costs to the retailer or are diverted to other sources of sales. In either case, such decisions do affect the margins of the business, and retailers often account for these necessary evils while planning their pricing strategy. Liquidation methods for such obsolete merchandise also need to meet the additional challenge of maintaining the perceived value of the products, and to not adversely newlineaffect planned margins due to lowered price points. This study seeks to explore fashion consumers acceptance of Deconstructed or up-cycled fashion for such obsolete or EOLC (End-of-lifecycle) merchandise that newlineremain unsold. It also maps the Perceived value of such merchandise and explores the other factors that may affect the Purchase Intention of the merchandise, like the Internal reference price, Perceived monetary newlinesacrifice and Perceived quality. Through an experimental study, a comparative analysis is built across consumers in an E-commerce vs newlineOffline store purchase scenario, to derive if the method of presentation of such products affects the Purchase intention.
Purchase intention of deconstructed end-of-lifecycle Fashion products in an outline and offline retail environment
Obsolete or slow-moving inventory is one of the major influencers for the bottom line of any business today. Surplus stock- be it from overbuys, returns, defects or simply merchandise hitting the end of their lifecycle- need to be accounted, accommodated and dealt with in a manner that can least affect the planned margins. For the fashion business, such merchandise poses greater challenges. The business is ground by seasonal preferences, fast-changing trends, short lead-times and shorter shelf-lives. With rising costs of traditional retail businesses, the associated costs of carrying such inventory are something that the retailer can easily do without. At the retailers’ end, such merchandise is often subjected to traditional liquidation methods such as Markdowns, carry forwards, or selling at lowered prices to discount stores or factory outlets. From a manufacturer’s perspective, overruns from production are either sold at discounted costs to the retailer or are diverted to other sources of sales. In either case, such decisions do affect the margins of the business, and retailers often account for these “necessary evils” while planning their pricing strategy.
Pure and suggestive impulse buying in mobile shopping app: shopping pattern of young consumers
Impulse buying intention; Mobile application; Pure impulse buying behaviour; Suggestive impulse buying behaviour; User satisfaction
Purpose: This study differentiates pure impulse buying behaviour from suggestive impulse buying behaviour in using mobile shopping applications (apps). This study aims to assess the moderating effects of instant discount and cashback promotional offers along with the mediating effects of impulse buying intention (IBI) and user satisfaction (US), using the app stimuli (performance expectancy, effort expectancy, layout, atmosphere, privacy and security). Design/methodology/approach: The study was done in three stages: analysis of variance, followed by structural equation modelling (SEM) and paired t-tests. Findings: The results showed that instant discounts and cashback offers are different from each other for the mediating variable IBI. The SEM results for pure impulse buying showed that, except for layout, the remaining variables have a positive relationship with IBI. For suggestive impulse buying, effort expectancy and layout were significantly related to both the mediating variables. Finally, pure and suggestive impulse buying behaviour showed significant differences. Originality/value: Previous studies have looked into impulse buying in its generic sense and not through the types of impulse buying they were measuring. As impulse buying behaviour is a predominant theme for discussion today, marketing professionals and researchers must comprehend the impact of app stimuli in the context of select types of impulse buying behaviour. 2024, Emerald Publishing Limited.
Young Consumers, Vol-25, No. 6, pp. 824-850.
https://doi.org/10.1108/YC-11-2023-1911 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197682907&doi=10.1108%2fYC-11-2023-1911&partnerID=40&md5=e8cd88d0af67562f4aa85544346efb24
Gupta P., Department of School of Business and Management, Christ University, Bangalore, India; Prashar S., Department of Marketing, IIM Raipur, Raipur, India; Parsad C., Department of Marketing, IIM Bodh Gaya, Bodh Gaya, India
Pure red luminescence and concentration-dependent tunable emission color from europium-doped zinc sulfide nanoparticles
Nano-sized Eu3+-doped ZnS particles were prepared by chemical precipitation method using polyethylene glycol as capping agent. The structural and morphological studies of ZnS:Eu3+ nanoparticles were carried out using X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). XRD results show that ZnS:Eu3+ nanoparticles have a cubic structure for all Eu3+ concentrations. Dependence of doping concentration on the photoluminescence (PL) of ZnS:Eu3+ nanophosphor was studied for excitations at 395nm and 465nm. At 395-nm excitation, emission colors of ZnS:Eu3+ nanophosphor lie in blue, green, yellow, and red regions of chromaticity diagram for different doping concentrations. But for all doping concentrations we got red emission when the excitation wavelength was 465nm and the color purity was 92% for 0.03M doped sample. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Journal of Materials Science: Materials in Electronics, Vol-33, No. 22, pp. 17793-17801.
Bindu K.R., Optoelectronic and Nanomaterials Research Laboratory, Union Christian College, Aluva, Kerala, Kochi, 683102, India, Sree Sankara Vidyapeetom College, Valayanchirangara, Kerala, Ernakulam, 683556, India; Safeera T.A., Department of Physics, MES Asmabi College, P Vemballur, Kodungallur, Kerala, Thrissur, 680671, India; Anila E.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Purification and Biochemical Characterization of Beta-Hexosaminidase B from Freshwater CnidarianHydra vulgaris Ind-Pune
Cnidarian; Hydra vulgaris; Lysosomal hydrolases; ?-N-Acetylhexosaminidase
Beta-N-acetylhexosaminidase (Hex) is a vital lysosomal hydrolase found in all living organisms, playing a crucial role in cellular homeostasis. Dysfunctions in this enzyme are implicated in severe pathological conditions such as Tay-Sachs and Sandhoff diseases in humans. In this paper, we report the purification and biochemical characterization of hexosaminidase from the soluble extracts obtained from the polyps of Hydra vulgaris Ind Pune. The Hydra Hex was purified by two-step sequential chromatography (hydrophobic interaction and gel filtration). Our results suggested that the enzyme isoform purified from Hydra is HexB, most likely to be a homodimer with a subunit mass of 65 kD. The pH optimum was in the range of 5.0 to 6.0 and the temperature optimum in the range of 50 C to 60 C. pH stability and temperature stability were found to be 5.0 and 40C respectively. The homology modelling studies corroborated the homodimeric nature of Hydra HexB, and indicated its structural resemblance to human HexB. This study offers new insights into the biochemical characteristics of Hydra HexB, providing a foundational framework for extensive investigations on this and other lysosomal hydrolases in Hydra. In a broader context, our results significantly contribute to establishing Hydra as a potential model organism to study the lysosomal biogenesis pathway. (2024), (Association of Carbohydrate Chemists and Technologists). All Rights Reserved.
Kukkemane K.; Krishnapati L.S.; Vuruputuri R.M.; Ranganatha K.S.; Kumar N.S.
Trends in Carbohydrate Research, Vol-16, No. 3, pp. 60-75.
Association of Carbohydrate Chemists and Technologists
Kukkemane K., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India, Department of Life Sciences, School of Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India; Krishnapati L.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Vuruputuri R.M., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Ranganatha K.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Kumar N.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India, University of Bremen, Bremen, Germany
Purification and evaluating in vitro activity of a fibrinolytic protease produced by a mangrove isolate Bacillus subtilis AIBL_AMSB2_M7E32
Bacillus subtilis AIBL_AMSB2_M7E32; Fibrinolytic enzymes; In vitro activity; Intravascular thrombosis; Purification
One of the main causes of heart-related problems globally is intravascular thrombosis. Microbial fibrinolytic proteases play a very crucial role in the management of thrombosis. Plasminogen activators and plasmin-like proteins, which are fibrinolytic enzymes of microbial origin, hydrolyze thrombin with great efficacy and without causing noticeable side effects. These fibrinolytic enzymes can also be manufactured efficiently and economically in huge quantities within a short period. However, the search for novel fibrinolytic enzymes demands difficult purification procedures, as well as physicochemical and structural-functional properties that provide information about their mode of action. In this study, the strain named Bacillus subtilis AIBL_AMSB2_M7E32, isolated from the Coringa mangrove soils, was shown to produce a fibrinolytic enzyme. The enzyme was purified by a four-step purification process that resulted in a 43.33-fold purification with a specific activity of 6368.20 (U/mg). Sodium dodecyl sulfate-polyacrylamide gel electrophoresis showed that the purified enzyme was a protein of about 28 kDa and showed fibrinolytic activity on a zymogram. In vitro assay on blood clots revealed that the purified enzyme could lyse the blood effectively by a percentage of 72.96 0.16a%, indicating that the enzyme could be used as a fibrinolytic agent. Furthermore, an observation for enzyme stability and its in vivo activity studies would be necessary for its application in the market. 2024 Bhavana Sompalli and Alok Malaviya.
Journal of Applied Biology and Biotechnology, Vol-12, No. 5, pp. 237-242.
https://doi.org/10.7324/JABB.2024.175220 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200682422&doi=10.7324%2fJABB.2024.175220&partnerID=40&md5=03118cb98c0a7ab1e2dc4b23b8719a5e
Sompalli B., Applied and Industrial Biotechnology Laboratory, CHRIST (Deemed-to-be University), Karnataka, Bangalore, India; Malaviya A., Department of Life Sciences, CHRIST (Deemed-to-be University), Karnataka, Bangalore, India
Purple Blue emission in MoO3:Ce3+ nanorods: Investigation on the structural and photoluminescence properties
Hydrothermal; Luminescence; Purple-blue light emitting phosphor; Quenching
MoO3:Ce3+ nanophosphors were synthesized with different doping concentrations of cerium by hydrothermal method. Structural, optical, and photoluminescence properties were explored. Raman spectroscopy and X-ray diffraction studies were carried out to examine the crystal structure, vibrational modes and symmetry. XRD and Raman spectroscopy assures the orthorhombic phase of MoO3 for the pure and doped samples. Nanorod like morphology was obtained for pure and doped samples. XPS analysis confirms the presence of Ce3+. While analyzing UVVis absorption spectra, the change in optical bandgap was observed with doping concentration in agreement with size effect. The refractive index of the prepared nanorods was evaluated. For MoO3:Ce3+nanorods excited at 250 nm, purple-blue emission comprising of transitions between 2D ? 2F7/2 along with 2D ? 2F5/2 levels of Ce3+ in MoO3 lattice were obtained. The concentration quenching mechanism was observed in MoO3:Ce3+ nanophosphors. Purple-blue emission from different samples were quantified using CIE chromaticity diagram. This work marks MoO3:Ce3+ nanorods as a suitable candidate for display and fluorescence imaging application. 2023 Elsevier Masson SAS
Avani A.V.; Babu C.R.; Shaji S.; Anila E.I.
https://doi.org/10.1016/j.solidstatesciences.2023.107345 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175442508&doi=10.1016%2fj.solidstatesciences.2023.107345&partnerID=40&md5=f9dc44ed1c03212ed31c6ccee91e7f95
Avani A.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Babu C.R., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Shaji S., Universidad Automa de Nuevo Le(UANL), Facultad de Ingenier Mecica y Eltrica (FIME), Av. Universidad, Cd. Universitaria, Nuevo Le, San Nicol de los Garza, 66455, Mexico; Anila E.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Purpose-driven leadership and organizational success: a case of higher educational institutions
Alumni involvement; Leadership engagement; Organizational purpose; Societal reputation; Student success
Purpose: This paper aims to examine the relationships between organizational purpose, leadership practices and sustainable outcomes for universities in emerging economies. We propose that a strong sense of purpose is a fundamental and defining feature in the leadership practices of these institutions, which ultimately contributes to their success. Design/methodology/approach: The authors present a research model that defines the relationships between a sense of purpose, leadership practices, student success outcomes, alumni involvement outcomes and societal reputation outcomes. Over 200 higher education administrators in India participated in the study. Findings: The institutions' sense of purpose directly relates to their leadership engagement practices and their student success outcomes. Student success outcomes are a crucial linkage between leadership engagement practices and alumni involvement outcomes to achieve their societal reputation. Practical implications: As competitiveness intensifies, educational institutions under resource constraints must differentiate their organizational practices. This paper demonstrates how their core purpose and leadership actions result in achieving effective outcomes and overall sustainable societal reputation. Originality/value: There is a significant difference between having an organizational purpose and enacting that purpose through their leadership practices. These results highlight the cascading effect from the institution's fundamental sense of purpose to their leadership practices and the positive outcomes of student success, alumni involvement and societal reputation. 2021, Emerald Publishing Limited.
Hong P.C.; Chennattuserry J.C.; Deng X.; Hopkins M.M.
Leadership and Organization Development Journal, Vol-42, No. 7, pp. 1004-1017.
https://doi.org/10.1108/LODJ-02-2021-0054 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110980008&doi=10.1108%2fLODJ-02-2021-0054&partnerID=40&md5=6a64e468c22792cb72d29481f2b4d549
Hong P.C., Information Operations and Technology Management, University of Toledo, Toledo, OH, United States; Chennattuserry J.C., International Studies, Political Science and History, Christ University, Bangalore, India; Deng X., Southern Illinois University Edwardsville, Edwardsville, IL, United States; Hopkins M.M., University of Toledo, Toledo, OH, United States
Putting sustainable human resource management and workplace eudaimonic well-being into cross-cultural context
Eudaimonic well-being; Individualism-collectivism; Model of culture fit; Self determination theory; Sustainable HRM; Work engagement
This study examines how sustainable human resource management (HRM) impacts employee work engagement and eudaimonic well-being across cultural contexts that differ on individualism-collectivism dimension. Theoretically, the study draws from Self-Determination Theory (SDT; Ryan & Deci, 2017) and the model of culture fit (Aycan et al., 1999). Using data from 14,502 employees nested in 54 countries working in a variety of positions across different sectors, we found support for our hypothesized modelthat is, sustainable HRM was positively related to employee eudaimonic well-being via enhanced work engagement. The study found that one moderating effectthe relationship between work engagement and eudaimonic well-beingwas stronger in countries that are more individualistic rather than collectivistic. The findings provide support for the universality of the SDT-based approach to understanding employee experiences based on sustainable HRM and cultural variations that inform work-related eudaimonic well-being. Our study advances existing cross-cultural research on sustainable HRM and employee well-being. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Wojtczuk-Turek, Agnieszka; Turek, Dariusz; Jurek, Pawe?; Edgar, Fiona; Okay-Somerville, Belgin; Podgorodnichenko, Nataliya; Fu, Na; Jlstr, Maria; Popov, Boris; Hutchings, Paul; Sullivan, Katie; Hafstad, Marius Duhovi?; Shkoda, Tetiana; Savych, Oleksandr; Raeder, Sabine; Klein, Howard J.; Bosak, Janine; Lupina-Wegener, Anna; Dvorakova, Zuzana; Gutirez-Crocco, Francisca; Kekkonen, Aleksandra; Leiva, Pedro I.; Myna?ov Lenka; Schez-Apelliz, Mercedes; Shafique, Imran; Al-Romeedy, Bassam Samir; Wee, Serena; Dunlop, Patrick; Stinglhamber, Florence; Caesens, Gaane; Caldana, Adriana; Sticca, Marina Greghi; Vasilev, Valentin; Lauzier, Martin; Desjardins, Guillaume; Zhang, Gangfeng; Tan, Le; Galvez-Sierra, Lady Brigitte; Pez, Erico Renter; Goi?, Sre?ko; Tadi?, Ivana; Charvov Dagmar; Botek, Marek; Jensen, Dorthe H; Rojas, Dayamy Lima; Pazmay-Ramos, Segundo Gonzalo; Masso, Piret; Gillet, Nicolas; Huyghebaert-Zouaghi, Tiphaine; Robakidze, Maia; Martskvishvili, Khatuna; Dorrough, Angela R.; Jekel, Marc; Hfner, Carolin; Sevincer, Timur A.; Kekesi, Elias Kodjo; Agyemang, Collins Badu; Apospori, Eleni; Jose, Jerin; Salendu, Alice; Etikariena, Arum; Susianto, Harry; Sjabadhyni, Bertina; Malayeri, Shera; Seydi, Masoumeh; Kinahan, Mary; Lisak, Alon; Mariani, Marco Giovanni; Salvati, Marco; Moscatelli, Silvia; Crapolicchio, Eleonora; Manzi, Claudia; Shimazu, Akihito; Ikeda, Hiroshi; ukauskien?, Rita; Kaniuonyt?, Goda; Catania, Gottfried; Lauri, Mary Anne; Madero-Gez, Sergio Manuel; Fernando, Denise; Veth, Klaske; Dhakal, Sandesh; Lawal, Abiodun; Reategui, Ana; Trist, Oswaldo Morales; Edralin, Divina M.; Schmitz, Susana; Neto, Joana; Neto, Fix; ?or?evi?, Jasna Miloevi?; Mihi?, Vladimir; Kalistova, Anna; Piterov Ivana; Mayer, Claude-He; Molina, Mar JosCharlo; Ranasinghe, Ruwan; Nakchedi-Ooft, Tesora; Sobhie, Rosita; Matteo, Mli; Chavanovanich, Jennifer; Petchthip, Narumol; Karabat?, Serdar; Akba?, Gn; Turkoglu, Beril; Mosanya, Magdalena; de Le, Pablo Pez; Labarthe-Carrara, Javier; Phelps, Ceri; Karamustafa-Ke, Gdem
https://doi.org/10.1016/j.emj.2026.03.008 https://www.scopus.com/pages/publications/105036669332?origin=resultslist
Wojtczuk-Turek A., Institute of Human Capital, SGH Warsaw School of Economics, Warsaw, Poland; Turek D., Institute of Enterprise, SGH Warsaw School of Economics, Warsaw, Poland; Jurek P., Institute of Psychology, Faculty of Social Sciences, University of Gdansk, Gdansk, Poland; Edgar F., Department of Management, Otago Business School, University of Otago, Dunedin, New Zealand; Okay-Somerville B., Adam Smith Business School, University of Glasgow, Scotland, Glasgow, United Kingdom; Podgorodnichenko N., DBA Programme, Otago Business School, University of Otago, Dunedin, New Zealand; Fu N., Trinity Business School, Trinity College Dublin, The University of Dublin, Dublin, Ireland; Jlstr M., University of Vaasa, Vaasa, Finland; Popov B., Faculty of Arts, University of Ljubljana, Slovenia; Hutchings P., University of Wales Trinity Saint David, Wales, United Kingdom; Sullivan K., University of Wales Trinity Saint David, Wales, United Kingdom; Hafstad M.D., Department of Psychology, University of Oslo, Oslo, Norway; Shkoda T., Kyiv National Economic University Named After Vadym Hetman, Kyiv, Ukraine; Savych O., Kyiv National Economic University Named After Vadym Hetman, Kyiv, Ukraine; Raeder S., Department of Psychology, University of Oslo, Oslo, Norway; Klein H.J., Fisher College of Business, The Ohio State University, Columbus, OH, United States; Bosak J., Dublin City University Business School, Dublin, Ireland; Lupina-Wegener A., Department of International Business, ZHAW School of Management and Law, Winterthur, Switzerland; Dvorakova Z., Czech Technical University in Prague, Prague, Czech Republic; Gutirez-Crocco F., Faculty of Economic and Administrative Sciences, Universidad Austral de Chile, Valdivia, Chile; Kekkonen A., Estonian Business School, Tallinn, Estonia; Leiva P.I., Facultad de Econom y Negocios, Departamento de Administraci, Universidad de Chile, Santiago, Chile; Myna?ovL., Department of Economics and Management, University of Chemistry and Technology, Prague, Prague, Czech Republic; Schez-Apelliz M., Universidad de Sevilla, Sevilla, Spain; Shafique I., COMSATS University Islamabad, Lahore, Pakistan; Al-Romeedy B.S., Faculty of Tourism and Hotels, University of Sadat City, Sadat City, Egypt; Wee S., School of Psychological Science, University of Western Australia, Perth, Australia; Dunlop P., Future of Work Institute, Faculty of Business and Law, Curtin University, Bentley, WA, Australia; Stinglhamber F., UCLouvain, Louvain-la-Neuve, Belgium; Caesens G., UCLouvain, Louvain-la-Neuve, Belgium; Caldana A., University of S Paulo, S Paulo, Brazil; Sticca M.G., Department of Psychology, University of S Paulo, S Paulo, Brazil; Vasilev V., New Bulgarian University, Bulgaria; Lauzier M., Universitdu Quec en Outaouais, Gatineau, Canada; Desjardins G., Universitdu Quec en Outaouais, Gatineau, Canada; Zhang G., School of Management, Zhejiang University, Hangzhou, China; Tan L., School of Economics and Management, Northwest University, Shaanxi Province, China; Galvez-Sierra L.B., Pontificia Universidad Javeriana de Cali, Colombia; Pez E.R., Universidad del Valle, Colombia/Universidade Federal da Bah, Brazil; Goi? S., Faculty of Economics, Business and Tourism, University of Split, Split, Croatia; Tadi? I., Faculty of Economics, Business and Tourism, University of Split, Split, Croatia; CharvovD., University of Chemistry and Technology, Prague, Czech Republic; Botek M., University of Chemistry and Technology, Prague, Czech Republic; Jensen D.H., Aarhus University, Aarhus, Denmark; Rojas D.L., Pontificia Universidad Catica del Ecuador, Sede Ambato, Ecuador; Pazmay-Ramos S.G., Pontificia Universidad Catica del Ecuador, Quito, Ecuador; Masso P., Estonian Business School, Tallin, Estonia; Gillet N., Universitde Tours, Tours, France, Institut Universitaire de France, Paris, France; Huyghebaert-Zouaghi T., Universitde Reims Champagne-Ardenne, C2S, Reims, France; Robakidze M., Faculty of Psychology and Educational Sciences, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Martskvishvili K., Faculty of Psychology and Educational Sciences, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia; Dorrough A.R., Faculty of Psychology, FernUniversit in Hagen, Germany, Social Cognition Center Cologne, University of Cologne, Cologne, Germany; Jekel M., Social Cognition Center Cologne, University of Cologne, Cologne, Germany; Hfner C., Social Cognition Center Cologne, University of Cologne, Cologne, Germany; Sevincer T.A., Leuphana University Lueneburg, Lueneburg, Germany, Hanse-Wissenschaftskolleg Delmenhorst, Delmenhorst, Germany; Kekesi E.K., Ghana Communication Technology University, Ghana; Agyemang C.B., University of Ghana, Legon, Accra, Ghana; Apospori E., Athens University of Economics and Business, Athens, Greece; Jose J., School of Business Management, CHRIST (Deemed to be University), Pune Lavasa, India; Salendu A., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Etikariena A., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Susianto H., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Sjabadhyni B., Faculty of Psychology, Universitas Indonesia, Depok, Indonesia; Malayeri S., University of Bern, Switzerland; Seydi M., Allameh Tabatabaei University, Tehran, Iran; Kinahan M., Maynooth University, Maynooth, Dublin, Ireland; Lisak A., Management Department, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Mariani M.G., University of Bologna, Bologna, Italy; Salvati M., University of Verona, Verona, Italy; Moscatelli S., University of Bologna, Bologna, Italy; Crapolicchio E., UniversitCattolica del Sacro Cuore, Brescia, Italy; Manzi C., Catholic University of Milan, Milan, Italy; Shimazu A., Faculty of Policy Management, Keio University, Kanagawa, Japan; Ikeda H., Department of Psychology, Kyushu University, Fukuoka, Japan; ukauskien? R., Institute of Psychology, Mykolas Romeris University, Vilnius, Lithuania; Kaniuonyt? G., Institute of Psychology, Mykolas Romeris University, Vilnius, Lithuania; Catania G., University of Malta, Malta; Lauri M.A., University of Malta, Malta; Madero-Gez S.M., Management and Leadership Department, School of Business, Tecnolico de Monterrey, Mexico; Fernando D., Hanze University of Applied Sciences in Groningen, Groningen, Netherlands; Veth K., Hanze University of Applied Sciences in Groningen, Groningen, Netherlands; Dhakal S., Tribhuvan University, Kathmandu, Nepal; Lawal A., Department of Psychology, Federal University, Oye-Ekiti, Nigeria; Reategui A., ESAN University, Peru; Trist O.M., ESAN University, Peru; Edralin D.M., San Beda University, Philippines; Schmitz S., Europeia University, Lisbon, Portugal; Neto J., REMIT Research on Economics, Management and Information Technologies, Universidade Portucalense, Porto, Portugal; Neto F., Universidade do Porto, Porto, Portugal; ?or?evi? J.M., Faculty of Media and Communication, Singidunum University, Belgrade, Serbia; Mihi? V., Department of Psychology, Faculty of Philosophy, University of Novi Sad, Novi Sad, Serbia; Kalistova A., Institute of Social Sciences, Centre of Social and Psychological Sciences, SAS, Koice, Slovakia; PiterovI., Institute of Social Sciences, Centre of Social and Psychological Sciences, SAS, Koice, Slovakia; Mayer C.-H., Department of Industrial Psychology and People Management, University of Johannesburg, Johannesburg, South Africa; Molina M.J.C., Universidad de Sevilla, Sevilla, Spain; Ranasinghe R., Uva Wellassa University of Sri Lanka, Badulla, Sri Lanka; Nakchedi-Ooft T., Anton de Kom University of Suriname, Paramaribo, Suriname; Sobhie R., Anton de Kom University of Suriname, Paramaribo, Suriname; Matteo M., Department of International Business, ZHAW School of Management and Law, Winterthur, Switzerland; Chavanovanich J., Faculty of Psychology, Chulalongkorn University, Ratchathewi, Thailand; Petchthip N., Department of Psychology, Faculty of Social Sciences, Kasetsart University, Bangkok, Thailand; Karabat? S., Istanbul Bilgi University, Istanbul, Turkey; Akba? G., Ankara Medipol University, Ankara, Turkey; Turkoglu B., TED University, Ankara, Turkey; Mosanya M., Murdoch University Dubai, United Arab Emirates; de Le P.P., Universidad Catica del Uruguay, Uruguay; Labarthe-Carrara J., Universidad Catica del Uruguay, Uruguay; Phelps C., University of Wales Trinity Saint David, Wales, United Kingdom; Karamustafa-Ke G., Haute ole de Gestion Arc // HES-SO, The University of Applied Sciences Western Switzerland, Neuchel, Switzerland
Pyrazole Derivative Containing Naphthalene Moiety: Cytotoxocity (Breast and Cervical Cancer), Antibacterial and Antifungal Studies Using Experimental and Theoretical Tools
ADME; antibacterial; antifungal; cytotoxicity; FMO; NCI
In the present study, the title compound is named 4-((5-hydroxy-3-methyl-1-phenyl-1H-pyrazol-4-yl)(6-methoxynaphthalen-1-yl)methyl)-5-methyl-2-phenyl-1,2-dihydropyrazol-3-one was synthesized, and its antibacterial, antifungal, cytotoxic activity was studied by both experimental and in silico methods. The molecular structure was optimized using DFT/B3LYP method with cc-pVDZ as a besis set, and frontier molecular orbital (FMO) studies was used to explain the physiochemical properties of that molecule by the energy of interacting orbitals. NBO describes the intra delocalization of electrons in the molecule, which support the stability of that molecule. Noncovalent interaction (NCI) explains the nonbond interactions present in the molecule. Drug-likeness property of 405 C have been checked by absorption, distribution, metabolism and excretion (ADME) assay, result shown all the drug-likeness properties in red color region, so we have confirmed this molecule as a drug. 405 C undergoes antibiotic activity against P. aeruginosa organism, antifungal activity against B. cinerea and cytotoxicity activity against MCF-7 and HeLa cell when compared to standard drugs. 2022 Taylor & Francis Group, LLC.
Tabassum S.; Thangaiyan P.; Govindaraju S.; Daniel N.K.; Thomas R.
Polycyclic Aromatic Compounds, Vol-43, No. 9, pp. 8544-8561.
Tabassum S., Department of Chemistry, Surana College, Bengaluru, India; Thangaiyan P., Department of Chemistry, St Berchmans College, Changanaserry, India, Department of Mechanical Engineering, University Centre for Research & Development Chandigarh University, Mohali, India; Govindaraju S., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to Be University), Bengaluru, India; Daniel N.K., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to Be University), Bengaluru, India; Thomas R., Department of Chemistry, St Berchmans College, Changanaserry, India
Python Driven Keyword Analysis for SEO Optimization
Content marketing; Domain relevancy; Google Autocomplete; Insights; Keyword research; Product development; Python; Real-time data; Search engine optimization (SEO); Trends
Every word or string of words a user types into a search engine has meaning. For example, a user might search for a 'hotel' or a 'hotel in New York City.' Keywords are the standard focus of search engine optimization (SEO), which offers a useful method of gauging demand for specific queries and aiding in a better understanding of how users look for goods, services, businesses, and, eventually, solutions. Any effective SEO strategy must include keyword research, and Python is a strong language that can be used to automate and accelerate the process. This project presents a Python-based keyword research tool that works on real-time data to identify the top searches over a user-specified domain to identify trends and customer needs. It does this by utilizing multiple Python libraries and Google Autocomplete. The Google Autocomplete results for the user-specified domain are first parsed by the tool before it can function. After that, unnecessary keywords are eliminated by filtering and cleaning the results. Subsequently, the remaining keywords are arranged for search volume and domain relevancy. The tool looks for trends by comparing the current keyword rankings with previous data. Thanks to this, users can see which keywords are growing in popularity. By identifying the most commonly asked questions and issues, the tool also offers insights into the needs of its users. The tool is simple and adaptable to each user's unique requirements. It can be used to create keyword lists for content marketing, SEO, and product development, among other uses. 2024 IEEE.
10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024, pp. 1170-1176.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICACCS60874.2024.10717132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208626488&doi=10.1109%2fICACCS60874.2024.10717132&partnerID=40&md5=47f383dee48888ea46db26a9d41fb7f9
Kanara A.P., Christ (Deemed to be University), Computer Science Engineering (Specialization in Data Science), Banglore, India; Kumari P., Christ (Deemed to be University), Computer Science Engineering (Specialization in Data Science), Banglore, India; Prathap B.R., Christ (Deemed to be University), Computer Science Engineering (Specialization in Data Science), Banglore, India
Python programming for geospatial applications: Web mapping, interactive visualization, and beyond
Geospatial solutions represent a pivotal toolset for analyzing, interpreting, and visualizing spatial data across diverse domains, facilitating informed decision-making and fostering innovation. This book chapter provides a comprehensive overview of geospatial solutions, emphasizing their critical role in addressing spatially explicit challenges and driving efficiency, productivity, and innovation across various sectors. Furthermore, it explores the integration of Python programming in geospatial applications, highlighting its versatility and extensive ecosystem of libraries and tools tailored for spatial data analysis and visualization. The fundamentals of web mapping are discussed in depth, elucidating spatial representation, technologies, and tools commonly employed in web mapping applications. Also, the chapter explores Python's role in retrieving geospatial data with Python, visualization methods, and interactive web mapping. 2024, IGI Global.
Geospatial Application Development Using Python Programming, pp. 39-61.
Das D., Christ University, India; Natarajan A.K., Samarkand International University of Technology, Uzbekistan
Python's role in predicting type 2 diabetes using insulin DNA sequence
This chapter examines how Python can assist in predicting type 2 diabetes using insulin DNA sequences, given the substantial problem that biologists face in objectively evaluating diverse biological characteristics of DNA sequences. The chapter highlights Python's various libraries, such as NumPy, Pandas, and Scikit- learn, for data handling, analysis, and machine learning, as well as visualization tools, such as Matplotlib and Seaborn, to help researchers understand the relationship between different DNA sequences and type 2 diabetes. Additionally, Python's ease of integration with other bioinformatics tools, like BLAST, EMBOSS, and ClustalW, can help identify DNA markers that could aid in predicting type 2 diabetes. In addition, the initiative tries to identify unique gene variants of insulin protein that contribute to diabetes prognosis and investigates the risk factors connected with the discovered gene variants. In conclusion, Python's versatility and functionality make it a valuable tool for researchers studying insulin DNA sequences and type 2 diabetes prediction. 2023, IGI Global. All rights reserved.
Advanced Applications of Python Data Structures and Algorithms, pp. 266-278.
Sasidharan A., CHRIST University (Deemed), India; Arulkumar N., CHRIST University (Deemed), India
QiMINT: Quantum-Inspired Mobile Intelligence - Advancing Complex Signal Processing with Machine Learning
AI Optimization; Edge Computing; Machine Learning; Mobile Intelligence; Quantum Algorithms; Quantum Computing; Real-Time Data; Signal Processing
Integrating mobile intelligence with quantum-inspired machine learning (QiML) opens space for challenging mobile signal processing tasks. By utilizing superposition and entanglement, quantum computing principles, QiML boosts the agility of mobile devices by allowing real-time data processing, pattern recognition, and decision making. This work introduces Quantum-Inspired Mobile Intelligence (QiMINT) a new mobile computing framework that integrates quantum-inspired designs with classical machine learning, which increases mobile devices' accuracy, latency, and energy efficiency. Results show that medical QiML based models exceeded traditional machine learning methods in most key performance indicators. The quantum convolutional neural network (QCNN) achieved an accuracy of 92.3% in contrast with the CNNs' 87.5%, but with a processing time of 80 ms as to 120 ms, energy consumption of 10 mJ in comparison to the CNNs' 15mJ. Also, quantum-inspired random forests lowered processing delay by 40%, sustaining superior accuracy than the classical-base system. These results demonstrate that QiML can effectively balance computation complexity while making it suitable for edge computing, IoT, and mobile intelligence systems. 2025 IEEE.
Kolluru, Vinothkumar; Helen Parimala, E.; Kokilavani, T.; Sunil Raj, Y.; Jesuraj, Bastin; Aminuddin, Afrig
Proceedings of 8th International Conference on Trends in Electronics and Informatics, ICOEI 2025;pp.1715-1724
https://doi.org/10.1109/ICOEI65986.2025.11013711 https://www.scopus.com/pages/publications/105007660858?origin=resultslist
Kolluru V., Stevens Institute of Technology, Department of Data Science, NJ, United States; Helen Parimala E., Gitam Deemed to be University, Department of Computer Science, Bangalore, India; Kokilavani T., School of Sciences, Christ (Deemed) University, Department of Computer Science, Bangalore, India; Sunil Raj Y., St. Xavier's College (Autonomous), Department of Data Science, Palayamkottai, India; Jesuraj B., Mother Theresa Arts and Science College, Department of Computer Science, Tamilnadu, Theni, India; Aminuddin A., Universitas Amikom Yogyakarta, Department of Information System, Faculty of Computer Science, Sleman, 55283, Indonesia
QSAR Approach for Drug Discovery Targeting the Glucagon Receptor Using Machine Learning
Computational modeling; Drug Discovery; Glucagon receptor; Ligand efficiency; Machine Learning; QSAR
Metabolic disorders like type 2 diabetes are increasing day by day so the study focusing drug discovery of glucagon receptor has become important.One of the method to study the binding strength between chemical compounds is Quantitative Structure-Activity Relationship (QSAR) which is discussed in this paper.We gathered a curated dataset of glucagon receptor ligands from the ChEMBL bio activity dataset and studied the physical and chemical properties of the molecules using factors like molecular weight and logarithm of the partition coefficient.Then Random forest regression model was applied for prediction of the binding strength of ligands. The efficiency information of ligand was extracted which contributed to study of the molecular features concerning the activity of glucagon receptor in a much easier manner. These findings highlight the potential of QSAR in elucidating the key determinants of ligated-receptor interactions and guiding the rational design of novel glucagon receptor modulators. The integration of computational approaches with experimental validation holds promise for accelerating the development of effective therapies for metabolic disorders, addressing unmet clinical needs in this field. 2023 IEEE.
Sharma V.; Sarkar O.; Mishra S.; Sinha S.
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 702-706.
Sharma V., Christ (Deemed to Be University), Delhi NCR, India; Sarkar O., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sinha S., Kalinga Institute of Industrial Technology, Deemed to Be University, India
QSPR ANALYSIS OF ANTI-ASTHMATIC DRUGS USING REDEFINED FIRST ZAGREB POWER INDEX
Maximum degree; Minimum degree; QSPR anal-ysis; Topological indices
In this paper, we introduce a novel degree-based topological in-dex, the Redefined First Zagreb Power Index (ReZG1P I(G)). Explicit formu-lae for ReZG1P I(G) are derived for several standard graphs. Furthermore, we investigate the quantitative structureproperty relationship (QSPR) of anti-asthmatic drugs. The study reveals a strong correlation between the physicochemical properties of these drugs and their corresponding ReZG1P I(G), reflecting the structural representation of molecules as graphs. Finally, we establish linear and quadratic regression models between the proposed molec-ular descriptor and the physicochemical properties of anti-asthmatic drugs. 2026, MUK Publications and Distribution. All rights reserved.
Hemavathi, P.S.; Munavalli, Rahul; Pavithra, N.; Nanjappa, Manjunath; Harshavardhana, C.N.
Global and Stochastic Analysis;Volume;13;Issue;2;pp.1-25
https://doi.org/10.64837/GSA.13.2.1 https://www.scopus.com/pages/publications/105039324527?origin=resultslist
Hemavathi P.S., Department of Mathematics, Siddaganga Institute of Technology, Tumakuru, 572103, India; Munavalli R., Department of Mathematics, Vidyavardhaka College of Engineering, Mysuru, 570006, India; Pavithra N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560 029, India, Department of Mathematics, Government Engineering College, Chamarajanagar, 571 313, India; Nanjappa M., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, 560 074, India; Harshavardhana C.N., Department of Mathematics, Government Science College (Autonomous), Hassan, 573 201, India
Anti-HIV drug; M-Polynomial; NMPolynomial; QSPR; Topological Index
A broad spectrum of advanced medications appears yearly following the accelerated evolution of the chemical and pharmaceutical industry. In this paper, various degree-based and neighborhood degree sum-based topological indices of some anti-HIV drugs are explored applying the M-polynomial and NM-polynomial formulations. Moreover, QSPR analysis is carried out for the topological indices with regard to the physico-chemical properties of the anti-HIV drugs. The activity of nucleoside and non-nucleoside reverse transcriptase inhibitors is implemented as in drug configuration to manifest the significance of topological indices in the medicinal world. The procured outcomes affirm that topological indices being stud- ied reflect effective correlation in accordance to physical and chemical properties of the anti-HIV drugs and consequently can assist in development of advanced and promising pharmaceutical for HIV medication. 2022, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved.
South East Asian Journal of Mathematics and Mathematical Sciences, Vol-18, No. 3, pp. 283-306.
RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES
https://doi.org/10.56827/SEAJMMS.2022.1803.24 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165266160&doi=10.56827%2fSEAJMMS.2022.1803.24&partnerID=40&md5=106cb83533e4380bd66059ac61628dd1
Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Nanjappa M., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India
QSPR analysis of certain degree and eccentricity based topological indices and butane derivatives
Butane derivatives; Molecular graph; QSPR; Topological index; Zagreb index
Butane derivatives are chemical compounds formally derived from Butane C4H10 by replacement of one or more hydrogen atoms with other atoms or functional groups. In this paper, we do the QSPR analysis of few Butane derivatives with respect to some selected degree based topological indices and one eccentricity based topological index. In QSPR studies, topological indices are extensively used in determining specific bioactivity of chemical compounds. Our study showcases some important results on the correlation between Heavy atomic count, Complexity, Density, Surface tension and Index of refraction of Butane derivatives with the selected topological indices which further helps in characterizing the predicting power of these topological indices. RAS?YAN. All rights reserved.
Rasayan Journal of Chemistry, Vol-12, No. 2, pp. 464-470.
Rasayan Journal of Chemistry, c/o Dr. Pratima Sharma
https://doi.org/10.31788/RJC.2019.1225093 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064676400&doi=10.31788%2fRJC.2019.1225093&partnerID=40&md5=f7fb5e02aefbbd7a27283ba768103600
Asok A., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
QSPR Analysis of Polycyclic Aromatic Hydrocarbons
Equitable zagreb index; polycyclic aromatic hydrocarbon; polynomial
Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. The First and Second Zagreb Indices are one among the earliest and extensively explored molecular descriptors. The study on equitable zagreb indices have been initiated earlier by Akram Alqesmah, Anwar Alwardi and R. Rangarajan based on the equitable degree of the vertices. In this paper, we introduce the first and second equitable and non-equitable zagreb polynomials and compute the exact values of the respective equitable and non-equitable zagreb indices for polycyclic aromatic hydrocarbons. We have also utilised certain formulations for the determination of the corresponding relative equitable and non-equitable zagreb indices of the chemical graph. Further, QSPR analysis is carried out for the topological indices with regard to the physico-chemical properties of the polycyclic hydrocarbon molecules. 2022, Books and Journals Private Ltd.. All rights reserved.
Journal of Mines, Metals and Fuels, Vol-70, No. 8, pp. 49-55.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.18311/jmmf/2022/32009 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167347835&doi=10.18311%2fjmmf%2f2022%2f32009&partnerID=40&md5=f668fbdc02867fa7198b19812f759aea
Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Manjunath N., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ramesha K., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India