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A Qualitative Investigation of Adversities Experienced by Non-Alcoholic Adult Children of Alcoholics (ACOAs) in an Indigenous Community
This study explores the distinctive adversities encountered by non-alcoholic adult children of alcoholics (ACOAs) within the Mizo indigenous culture. Despite the abundance of literature on the adverse consequences of ACOAs, there is a dearth of global literature on the unique lived experiences of adversity among non-alcoholic ACOAs. Analysis of 13 in-depth interviews using the grounded theory approach identified that non-alcoholic ACOAs experienced a multitude of adversities across cognitive, affective, behavioral, and somatic domains. These adversities manifested as challenges in sustaining attention, lack of proficiency in problem-solving, distorted beliefs and negative emotions concerning relationships, skewed attachment styles, difficulty in managing oneself and adhering to rules, flawed relationship praxis, and somatic complaints such as fatigue, heightened psychomotor activity, and various aches and pains. These findings emphasize that parental alcohol misuse has lasting impacts on non-alcoholic ACOAs. Tailored early intervention and support programs are necessary to address these challenges. 2025, Institute for Human Rehabilitation. All rights reserved. -
Impact of organizational culture traits on employee intention to stay in the IT services sector: An empirical analysis
Employee retention poses a significant challenge in the Indian IT services sector, where frequent turnover leads to the loss of organizational knowledge and reduced productivity. This study assesses the impact of organizational culture on employees intention to stay in Indian-origin IT services companies in Bengaluru. We used Denisons Organizational Culture Model to measure culture across four dimensions, namely involvement, consistency, adaptability, and mission, and the Michigan Organizational Assessment Questionnaire to measure intention to stay. Using purposive sampling, we collected data from 384 employees of major Indian-origin IT firms between July 2023 and March 2024. Data were analyzed using factor analysis, linear regression, and Hayess PROCESS macro in SPSS 20.0. The results indicate that organizational culture has a significant and positive impact on employees intention to stay (? = 0.286, p < .001), accounting for 8.2% of the variance (R2 = 0.082). Path analysis confirms a strong positive effect (effect size = 0.486, 95% CI [0.322, 0.650], p < .001). The factor analysis demonstrates that stronger cultural dimensions especially empowerment, coordination and integration, organizational learning, and goals and objectives enhance employee retention in IT services firms. The study recommends that HR policies integrate cultural development to strengthen employee commitment and retention. Future studies should explore additional job and organizational factors that influence employee loyalty. Silpa Mary John, Smita Kavatekar, 2025. -
The impact of unconventional US monetary policy shock on emerging bond markets: A comprehensive assessment of global transmission channels
Extensive research has been conducted on the global effects of the US unconventional monetary policy shock on capital flows in emerging markets. However, there is limited empirical evidence on the transmission channels of capital flows in emerging bond markets. This study examines it by analysing capital flows across 45 emerging bond markets from 2009 to 2023. Contemporaneous shock transmission is examined using the contemporaneous impact matrix, and dynamic shock transmission is assessed using the impulse response function of the structural vector autoregression (SVAR) model. All variables in this study are standardised to account for differences in scale within the model. The pairwise correlation coeffcient matrix indicates that multicollinearity is not a concern for parameter estimates in this model. The ADF-Fisher Chi-square unit root test result reveals that all variables are stationary in this model. The contemporaneous coeffcient matrix results indicate that changes in the US term spread serve as the contemporaneous transmission channel through which US Treasury bond purchase and US MBS purchase shocks positively affect capital flows in emerging bond markets. The impulse response function indicates that changes in the global financial cycle serve as a dynamic transmission channel through which US MBS purchase shocks affect capital flows in emerging bond markets. Moreover, changes in the US mortgage spread serve as the dynamic transmission channel through which US Treasury bond purchases and US MBS purchases affect capital flows in emerging bond markets. Swarupa Ranjan Panigrahi, Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal, 2025. -
Do institutional quality and capital account openness affect capital flow? Evidence from Asian bond markets
Capital inflow into local bond markets helps countries with infrastructure financing, funding fiscal deficit, enhancing bond market liquidity, and diversifying investment portfolios globally. This study aims to assess the impact of institutional quality and capital account openness on capital inflow into Asian local bond markets for the period 20022023. For reflecting Asian bond markets, seven countries, namely, China, Malaysia, South Korea, Japan, the Philippines, Indonesia, and Thailand, have been considered. The rule of law, regulatory quality, control of corruption, voice & accountability, political stability, and government effectiveness indices are the various proxies considered in this study to measure the different aspects of institutional quality. Further, the Chinn-Ito index is employed to measure capital account openness. Fixed effect, random effect, and pooled data ordinary least squares are employed as different forms of panel data estimation methods in this study. Moreover, Breusch-Pagan LM and Hausman tests are performed to select the most efficient estimation method. This study reveals that the rule of law, regulatory quality, and control of corruption have a positive influence on capital inflow at a 5% significance level and political stability at a 1% significance level. In contrast, capital account openness has a negative impact at a 1% significance level. However, neither voice & accountability nor government effectiveness have a significant influence over capital inflow. These findings suggest improving the rule of law and regulatory quality, creating policies for political stability, stringent acts against corruption, and controlling capital account openness to encourage capital inflow into local bond markets. Swarupa Ranjan Panigrahi, Suresha B., Krishna T. A., Latha Ramesh, Nijumon K. John, 2025. -
ESG or financial METRICS? What Retail Investors Really Look for in Decision-making
With the increasing global emphasis on responsible investing, this study explores the tradeoff between ESG and traditional financial metrics in shaping the investment decisions of retail investors in India. A within-subject experimental design was employed at Christ University, India, involving an initial sample of 75 participants, with 55 completing all three experiment rounds. The sample respondents evaluated masked stock profiles across three rounds, where updated financial and ESG information on masked stock was provided at each round. The results indicate that though ESG metrics are getting attention among retail investors, financial metrics are still the main determining factor for investment. It was found that ROE (52 responses), 3-year CAGR Net Profit (36 responses), and P/E ratios (48 responses) are the most influencing factors to make investment decisions. Similarly, ESG factors (Governance, Environmental, and Sustainability scores) are also frequently mentioned, with 74 citations. Retail investors mainly consider profitability and view ESG as risk-mitigating or neutralizing factors. While evaluating the ESG factors, retailers mainly look at the firms environmental concerns, followed by governance and social factors. This result contrasts with the previous studies in this domain, where the literature emphasized governance factors more than environmental factors. These results highlight the integration of ESG elements, as retail investors remain with favorable returns and sacrifice sustainability. Further, this study spots the need for better and quantifiable ESG performance reports to consider alternative data comparable to financial data for better investment decisions. Suresh Gopal, Saravanakrishnan V., Elangovan N., 2025. -
Consumer willingness to adopt digital coupons in post-demonetization and COVID-19 in India
This study aims to examine the factors influencing consumers willingness to adopt digital coupons in India. It focuses on the impact of two major events: demonetization in 2016 and the COVID-19 pandemic. Together, these events have caused a shift toward digital payments and digital coupons, changing consumer behavior in favor of digital solutions. This study specifically focuses on consumers in Jaipur, both urban and rural, to capture the unique dynamics of this geographical region. In this study, 110 respondents from different demographic groups were given a structured questionnaire. 12 respondents were selected for in-depth qualitative interviews to learn more about the factors that promote and hinder the use of digital coupons. Quantitative data analysis is conducted using SmartPLS 4 software, and the qualitative interview data are analyzed thematically. The regression analysis reveals that convenience and perceived value drives the use of digital coupons, with 75% of respondents reporting their adoption. The findings bring into perspective how the digital consumer landscape of India is evolving and what role incentives play in digital marketing in driving consumer preference and shaping the long-term feasibility of the strategy. The conclusion reinforces that the use of digital incentives for consumers will be influential in choices and underlines the feasibility of digital approaches in the new consumer environment in India. C. Anirvinna, Deepak Jha, Rapaka David Goodwin, Deepak Pokhriyal, 2025. -
IN SEMICONDUCTOR MEDIA CAUSED BY DYNAMIC LOADING THROUGH MEMORY EFFECTS AND NONLOCAL FRAMEWORKS
We investigate a novel meticulous heat transfer model to capture the photo-thermal-elastic interactions efficiently inside a nonlocalized semiconductor material affected from a dynamic thermal loading. For the purpose of apprehending memory and nonlocal effects during complex diffusion processes inside the semiconductor, the Atangana-Baleanu fractional derivative is established on the linearized coupled thermoelastic theory which involves thermal displacement gradient and temperature gradient among the constitutive variables. Laplace transform methodology is acquired for solving the problem. Later on, a suitable algorithm of numerical inversion of the Laplace transform is employed for achieving the computational results in physical domain. As per the graphical results, conclusions about the influences of significant parameters such as fractional parameter, photo-generated carrier life-span and the velocity of dynamic heat source on the dimensionless physical fields like temperature, displacement, stress and carrier density are constructed. Further, the utility of the current advanced heat transfer model is established by comparing the graphical results of physical fields under the current heat transfer theory with the old developed theories of heat transfer models having two phase lags and single phase lag parameter. All the graphical results are evaluated against distinct values of depth of the semiconductor media. We believe that this fine study will support researchers for obtaining promising and optimum results of real world problems where the photo-thermal effects inside the semiconductor are taken into account. 2026 The Authors, under license to MSP (Mathematical Sciences Publishers). -
Microencapsulated spirulina fortified yoghurt - An insight into physicochemical and sensory properties
Yoghurt is a widely consumed dairy product having good nutritional and functional properties. Incorporation of spirulina can enhance its health benefits due to its rich protein and antioxidant activity. However, direct addition affects sensory attributes, leading to reduced consumer acceptance. This study evaluates the impact of microencapsulated Spirulina-fortified yoghurt (ME-SP yoghurt) (treatment) on its physicochemical, microbiological and sensory properties, comparing it with plain yogurt as the negative control and Spirulina-incorporated yoghurt (without encapsulation) as the positive control. Results indicated that spirulina incorporation increased protein content in both positive control and treatment, but negatively influenced sensory acceptance in treatment due to colour and flavour changes. Microencapsulation effectively masked undesirable sensory characteristics while preserving nutritional benefits and an increase in protein content by 4.05%. More quantity of spirulina (1%) could be added to yoghurt when we used encapsulated spirulina than spirulina without encapsulation (0.5%). Textural analysis showed improved viscosity and stability in the microencapsulated sample than PC and NC. Microbiological analysis confirmed the probiotic viability in all samples within the acceptable range, based on the Food Safety and Standards Authority of India (FSSAI) and Codex Alimentarius standards for fermented dairy products. Sensory evaluation revealed that microencapsulation significantly enhanced flavour (7.9) compared to direct spirulina addition (6.96). This study concludes that microencapsulation is a viable technique to enhance the functional properties of spirulina-enriched yoghurt while maintaining its sensory appeal. 2025 Indian Council of Agricultural Research. -
Reflexive Praxis in University Classrooms in India: A Case Study
This article presents the case study of a university teacher's journey focusing on struggles he faced in the personal and professional space during his teaching career that shaped his pedagogic practices. Bourdieu's structural parameters and Engstr's (1987) theory of expansive learning provided analytical concepts, including reflexivity, to study the pedagogical praxis of this teacher. The analysis of data collected using the biographical narrative interviewing method, classroom observation, and autobiographical writings of the teacher reveals that as he questions his social positioning, academic "field," and intellectual bias, he experiences conflicts and tensions that arise from several disruptions resulting in pain and frustrations at one level and at another level shaping his desire and the ability to engage critically and historically with the processes and outcomes of personal and pedagogic interrogations. He realizes that there is no "A" algorithm for developing reflexivity. It takes a lifetime for a teacher to build a reflexive praxis. 2025 Common Ground Research Networks. All rights reserved. -
Emotional Intelligence and Cross-Cultural Adaptation of Indian Students in the Context of Interstate Education
India is known for its cultural diversity based on several factors, such as language, religion, race, and customs. In India, people used to move from one place to another for various purposes, and this was particularly the case with students in pursuit of education. In such situations, cross-cultural adaptation is one of the factors that facilitate their adjustment to new cultures and surroundings. Cross-cultural adaptation is needed when a person has to live in a different cultural setting than their own native place. Being sensitive to others emotions is essential when one lives in a new place. Emotional intelligence helps in that way and influences cross-cultural adaptation. Therefore, the present study was intended to explore the influence of emotional intelligence on cross-cultural adaptation. As many as 332 students, aged 17 to 29, who moved to another state for education, participated in the study. Emotional Intelligence Scale and Cross-Cultural Adjustment Scale were used for data collection. The components of emotional intelligence, such as self-emotional appraisal (SEA) and others emotional appraisal (OEA), were found to significantly influence expatriate adjustment. Furthermore, SEA and OEA have also influenced cultural novelty and the use of emotions (UOE). Students from rural areas were found to have more cross-cultural adaptation in the presence of their friends company compared to urban dwellers. In summary, the current study emphasizes the importance of higher emotional intelligence for better cross-cultural adaptation. 2025 Common Ground Research Networks. All rights reserved. -
A Novel and Efficient Deep Learning Models for Assessing AIs Impact on Disease Diagnosis in Agriculture
Background: Agriculture sustains human life by providing food, raw materials and employment opportunities. However, climate change and resource limitations pose significant challenges to crop production. AI-driven smart farming has emerged as a solution to enhance agricultural efficiency, with Explainable AI (XAI) improving transparency in decision-making. Innovations such as smart sensors and automated systems have benefited key agricultural sectors, including crops, forestry, livestock and aquaculture. Turmeric, valued for its medicinal and economic significance, requires careful monitoring to combat diseases like leaf spot and leaf blotch, which can impact yield and quality. Methods: This study introduces turmeric net, a Convolutional Neural Network (CNN)-based model leveraging transfer learning to detect and classify turmeric leaf diseases. The dataset used consists of 791 original images and 3,702 augmented images obtained from mendeley data, categorized into four classes: healthy leaf, dry leaf, leaf blotch and rhizome rot. The model development was carried out using TensorFlow, with ResNet50V2 as a baseline for comparison. The models were trained on processed image data, incorporating augmentation techniques to improve robustness and generalizability. Result: The accuracy of both models was evaluated. ResNet50V2 achieved an accuracy exceeding 99%, demonstrating high effectiveness in disease classification. Meanwhile, TurmericNet attained a competitive accuracy of 98%, making it a reliable alternative for turmeric disease identification. These results indicate that deep learning-based models can significantly aid in early disease detection, providing farmers with a valuable tool to enhance crop management and productivity. 2025 , Agricultural Research Communication Centre. All rigths reserved. -
Trends and Direction of Land Use Change in the Perspective of Urbanization in Karnataka: A District Level Study
Background: Urbanization and industrialization are mainly responsible for the conversion of large tract of agricultural lands and other vegetation-rich lands to non-agricultural purposes. Land and its utilization across various activities must be analysed to frame suitable policies for optimum land use. In Karnataka, the share of the net sown and non-agricultural areas increased. However, the share of permanent pasture and other grazing lands, barren and unculturable land, current and other fallow lands, culturable wasteland and land under miscellaneous tree crops and groves decreased compared to their share in 2000-01. The goal is to explore the direction of land use change between these land use categories in the context of urbanization. Methods: We utilized the district-level data sourced from reports of the Directorate of Economics and Statistics of the Government of Karnataka, enabling us to conduct a robust panel data regression using fixed effects model that empirically establishes the relationships between different land use categories, particularly non-agricultural land, barren land and arable land, from 2000-01 to 2020-21. We recorded the land use changes in the major land use classes at the district level by comparing the temporal dynamics for 2000-01 to 2020-21 and also studied the dynamics of each categorys land use outcomes and the changes in urbanization status at the district level. Result: This study provides a detailed insight into the trends and direction of land use changes in Karnataka from the perspective of urbanization, which has been getting a significant focus in the countrys development. The studys findings have significant policy implications, as they underscore how rapid population growth and the expansion of non-agricultural areas at the district level negatively impact arable and barren land. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
An Investigation into the Effects of Varying Seasons, Indole-3-Butyric Acid (IBA) and Rooting Media on the Rooting and Longevity of Air-layered Water Apples (Syzygium samarangense L.)
Background: The variation observed in sexual propagation often results in slow growth and fruit development, attributed partly to insufficient photosynthates during early growth stages. To address this challenge, vegetative propagation methods such as air layering offer promising solutions. This technique not only accelerates productivity but also enhances the quality of water apples. Recognizing the importance of air layering in water apple cultivation, this experiment was conducted to standardize this technique by examining the impact of different seasons and planting media in the western tropical wet and dry climate of Tamil Nadu. Methods: The study was conducted to evaluate the variables affecting air layering in water apples in Coimbatore district. The experiment was carried out with three different factors like seasons [August (S1), September (S2) and October (S3)] and IBA [applied at different concentrations of 2000 mg/L (I1), 3000 mg/L (I2) and 4000 mg/L (I3)] along with different rooting media: Cocopeat (M1) and Sphagnum moss (M2). The factorial randomized complete block design (FRCBD) was laid out for statistical analysis. Result: Sphagnum moss performed as a better rooting medium due to its high water holding capacity and good aeration. Increase in the number and early formation of roots were due to more rain fall and high relative humidity in August, that resulted in more nutrient uptake and structural stability. The discovery aids in determining the optimal conditions, including season, dosage and combination (4000 mg/L IBA with sphagnum moss applied in August), for successful air layering in water apple. 2025, Agricultural Research Communication Centre. All rights reserved. -
Robotics, artificial intelligence and service automation (RAISA) A model for smart and sustainable destination management
Technological progress in information and communication technologies (ICTs) has facilitated the implementation of automation and the integration of more advanced technologies in all industries. With the advent of robotics, artificial intelligence and service automation (RAISA) technologies, tourism service providers and market players have redirected their attention from traditional and conventional methods of service delivery to more modern and innovative approaches. Emerging technologies such as big data, mobile internet, the internet of things (IoT), and artificial intelligence (AI) have been fueling a rapid growth in innovations that facilitate a sustainable shift towards social robots. While AI is extensively studied in the field of tourism research, robotics and intelligent service automation have received less comprehensive research attention. The present study endeavors to investigate the prospective landscape of the travel and tourism sector using a rigorous qualitative secondary data analysis approach through web page content analysis on the awareness and usage of RAISA technologies in the global marketplace. The publication proposes four primary research objectives: investigating the advantages of RAISA, evaluating its usage and adaptability, examining the effects and difficulties of implementing the systems, and establishing a sustainable future with RAISA-enabled services. Research in these fields will facilitate the systematic and organized generation of knowledge, enabling the academic community to guarantee the advantageous implementations of intelligent automation in the tourism sector. This work presents a taxonomy for RAISA technologies in tourism and presents a persuasive case for how this interdisciplinary field should be included in conventional tourism research. by the Author,. -
Influence of basic need satisfaction, teacher self-efficacy, work-experience of teachers: Twenty-first-century skills instruction
The purpose of this study is to examine the influence of basic need satisfaction (BNS) and teacher self-efficacy (TSE), as well as work experience, on instructional outcomes related to twenty-first-century skills in schools. The rapidly evolving global landscape necessitates those teachers integrate twenty-first-century skills into classroom instruction. Despite a few studies on teachers ability to integrate innovative skills in instruction, limited empirical evidence exists regarding the influence of intrinsic motivation on the instruction of innovative pedagogical skills. Guided by Self-Determination Theory and Social Cognitive Theory, a conceptual model is developed to guide the influence on the instructional framework of twenty-first-century skills. Data are collected from 658 secondary school teachers across the southern states of India. For data collection, the study uses standardized instruments: the Teacher Sense of Efficacy Scale, the Basic Need Satisfaction at Work Scale, and the Twenty-First-Century Teaching and Learning Survey. The results of correlation, mediation, and moderation analyses have addressed the objectives of the study. Teacher self-efficacy shows different types of mediation effects on various components of basic need satisfaction, autonomy, competence, and relatedness, in its association with the instruction of twenty-first-century skills, which emphasizes their differential importance. Furthermore, work experience shows no moderation effect, suggesting the need for professional support for all teachers, regardless of experience. 2026 Conscientia Beam. All Rights Reserved. -
Thermomechanical Analysis of Cutting Tool Used for Minimizing Tool Wear During Machining of Inconel 718
During the CNC machining process, high stresses and temperatures are created at the cutting edge during machining of Inconel 718 due to severe tool wear. Inconel 718, one of the most often used Ni alloys, has a low machinability. Hence, determination of proper cutting tool to minimize tool wear and reduce surface roughness becomes an important aspect. Considering the scenario, the model-ling of dry turning of Inconel 718, a 3-Dimensional (3D) numerical model based on Finite Element (FE) is used. Turning tests were used to validate the model. The main wear modes that were dis-covered experimentally (chipping, notching, and built up edge BUE) were linked to variables predicted by the computational model, such as temperature and plastic strain at the chip. In this study, response surface methodology is used to design four features, matrix for a flexible composite design consisting of 5 repetitive levels; planning, implementation, implementation and development of mathematical models. Medium cutting strength is determined by the different feed values in the tangential, radial, and axial directions during the tooth by maintaining immersion and axial depth of the cut as constant. A comparison is shown between modeling and experimentation. In this paper, the principal stress and displacement strain has been seen at the tool-work interface region of three cutting tools during machining Inconel 718. Three directions i.e tangential, radial, and axial directions these stress and displacement has been applied to observe the changes and determine the selection of the suitable cutting tool for optimal machining conditions and parameter selection. It is observed that titanium cutting tool can prove to be a better tool to be used for machining Inconel 718 for longer tool life and improve productivity. Major Findings: The principal stress and Von-Mises stress in the thermomechanical analysis during Machining of Inconel 718 is found to be less in titanium cutting tool. This is the most suitable tool that can be used for machining hard to cut material Inconel 718. 2025, Informatics Publishing Limited. All rights reserved. -
Investigating Various Meshing Techniques in Computational Fluid Dynamics (CFD) for their Impact on Heat Transfer Parameters of Fins
The study explores the effects of different meshing techniques on the accuracy and efficiency of heat transfer and fluid dynamics simulations in a finned heat exchanger. A 3D-CAD model, developed in Autodesk Fusion, analysed aluminium fins subjected to a heat flux of 5903 W/m under flow conditions with Reynolds numbers from 8490 to 23300. Four mesh types Tetrahedral, Polyhedral, Hexacore and Poly-Hexacore were compared. Mesh independence analysis showed that Hexacore meshes, especially Mesh Set-F (4,568,602 elements), delivered high accuracy in predicting Nusselt numbers and pressure drops, making them suitable for detailed simulations. Polyhedral meshes, particularly Mesh Set-E (498,044 elements), exhibited the best computational efficiency, ideal for resource-conscious analyses. The study underscores the trade-offs between accuracy and computational cost. Hexacore meshes are recommended for precise evaluations, while Polyhedral meshes are better suited for preliminary designs or time-sensitive applications. However, Hexacore meshes require higher computational resources, limiting their practicality for large-scale or real-time simulations. Major Findings: The findings are valuable for industries such as Heating Ventilation Air Conditioning (HVAC), automotive and electronics cooling, where heat exchanger performance predictions are crucial. By tailoring mesh configurations to specific project needs, engineers can optimise simulation accuracy and computational efficiency, enhancing design workflows and outcomes. The study provides a framework for balancing accuracy and cost, offering insights into mesh selection for effective thermal and fluid performance evaluations. 2025, Informatics Publishing Limited. All rights reserved. -
Phenotypic detection of ?-lactamases producing Klebsiella pneumoniae and Acinetobacter baumannii isolated from the respiratory tract infections
Introduction: With limited treatment options and emerging antimicrobial resistance amongst bacterial pathogens in hospital settings, the alarming condition needs to be addressed. Aim and Objective: The study aimed to determine the antibiotic susceptibility (AST) patterns, and extended spectrum ?-lactamases (ESBL) and Metallo ?-lactamases (MBL) production in Klebsiella pneumoniae and Acinetobacter baumannii isolated from respiratory tract infections (RTI). Materials and Methods: Current study, 1624 samples (sputum, tracheal secretions, suction tip) were collected during June 2020 to September 2022, phenotypically characterized by antibiotic sensitivity test (AST), Extended Spectrum Beta lactamases and Metallo Beta lactamases detection. Results: Of 12.3% (200 isolates), recorded prevalence rate of K. pneumoniae was 10.3% while, A. baumannii showed 1.9%. Following AST, K. pneumoniae displayed highest resistance against Ampicillin (95%), followed by Amoxycillin/clavulanic acid (91%), lowest recorded susceptibility for Tigecycline (39.2%). While, A. baumannii expressed susceptibility to Carbapenem group and Ciprofloxacin (84.3%), lowest Tigecycline (50%). Overall study exhibited Colistin retaining its activity with 100% sensitivity. ESBL production in K. pneumoniae was 31% and 0% in A. baumannii. While, MBL producers was 11%, K. pneumoniae and A. baumannii recorded at 9.5% and 25% respectively. Conclusion: The increasing rates of ESBL producers is concerning, and the current study highlights use of Colistin as the best available antimicrobial for treating such RTI pathogens. Therefore, continuous monitoring of antibiotic-resistant profiles will help to guide effective antimicrobial therapy and management. 2025 The Author(s), Published by Innovative Publications. This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. https://creativecommons.org/licenses/by-nc-sa/4.0/ -
Developing the Skill Set of Generation Alpha through Toy Engagement: Building a Novel, Toy-Based Pedagogy (TBP)
Toy-Based Pedagogy (TBP) is a relevant, recognized teaching approach adopted by educational institutions to enhance the learning curve of children. Toys help Generation Alpha children develop skills, and the current paper underlines the need to include these skills into Indias Toy-Based Pedagogy (TBP) and suggest revisions. The data for the current study is directly elicited from Generation Alpha which is a novel intervention in pedagogical research. Educational pedagogies should be constantly revised and updated catering to the needs of the current generation. The findings of the study are highly relevant, as they highlight what Generation Alpha seeks and values in the current Toy-Based Pedagogy (TBP). The data was collected directly from primary school children aged 6 and 7 years. The paper adopts qualitative methodology and purposive sampling technique to obtain data from children through one-on-one interviews using an interview schedule. Thematic analysis employed suggested that children developed different skills through toy engagement. Furthermore, the study gives deep insights on the revisions required for the existing TBP to better suit the educational needs of Generation Alpha. 2025 by the authors. -
Sustaining teacher social-emotional competence: a systematic review of implementation and retention strategies; [??????????? ?????????-????????????? ?????????????? ????????: ??????????????? ????? ????????? ?????????? ? ???????????]
Social-emotional competence (SEC) refers to educators capacity to regulate emotions, sustain psychological resilience, and cultivate constructive relationships with students, colleagues, and school leadership. Elevated levels of SEC among teachers are strongly associated with enhanced well-being, emotionally supportive classrooms, and improved student engagement and achievement. Despite growing attention to SEC development initiatives, critical gaps remain regarding demographic variability in outcomes, optimal implementation strategies, and enduring institutional barriers. This systematic review, conducted in accordance with PRISMA guidelines, screened 1519 studies published between 2012 and 2024, yielding 16 peer-reviewed articles that met the inclusion criteria. Findings demonstrate that SEC interventions reliably enhance educators emotional regulation, mindfulness, and overall psychological well-being, irrespective of gender, professional experience, or cultural context. However, the long-term sustainability of these benefits is contingent upon enabling school environments, strong leadership, continuous professional development, and adequate resource allocation. Implementation challenges including time constraints, inconsistent program fidelity, and varying levels of teacher readiness underscore the need for adaptive, context-sensitive models. This review provides evidence-based recommendations for the effective design, integration, and sustained impact of SEC programs across diverse educational settings. Ved A., Kareem J., 2026.