Volume 13 | Issue 7 |

 Abstract

Motivation is one of the corner stones for the organizational and personal growth. Bhagavad Gita and Maslow's model are the two important works and vital towards motivation. It is through this paper that the comparative study of hierarchy of needs by Abraham Maslow and the philosophy of motivation as it has been enunciated in the Bhagavad Gita, particular in the leadership and management. In this day and age, surely a leadership is like a ship without a compass as it requires the necessary guidance to help drive the initiatives of not only the extrinsic development but the intrinsic one as well. Although Maslow promises a situation of tiered approach insomuch that the person believes in satisfying needs, it lacks weight as far as ethical factors and sustainable development is concerned. It is here that the Eastern wisdom goes deeper, where Bhagavad Gita proposes the paradigm of spiritual life based on the concepts of dharma (righteous duty), Nishkama Karma (selfless action), Samattva (equanimity), which applies to both leadership by value and the ability to withstand emotional changes and difficulties. This paper draws parallel between these frameworks and compares Google and Infosys corporate practices to demonstrate the practical applicability and scope of each of the models. Finally, the article supports the idea of a hybrid motivational model that combines the purity in Maslow with the ethical understanding in the Gita and therefore offers them to the organizations to develop purposeful and resilient working environments. The results can be used as part of the discussion of holistic and culturally diverse motivation strategies to organizational growth.

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 Keywords

Motivation, Maslow's Hierarchy of Needs, Bhagavad Gita, Leadership, Ethical Management, Employee Engagement, Organizational Sustainability, Holistic Motivation, Dharma, Nishkama Karma

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This study investigates the teaching and learning competencies of secondary school teachers with a focus on five critical domains: pedagogical competencies, communication and student engagement, classroom assessment, problem-solving and critical thinking, and independent learning and research skills. Utilizing a survey method, data were collected from a stratified random sample of 750 secondary school teachers across 48 schools in the Krishna, Guntur, and Prakasam districts of Andhra Pradesh. Standardized tools were developed and validated for the study, with high reliability confirmed through Cronbach's Alpha (0.91) and split-half reliability (0.85). The study aimed to examine differences in teaching competence based on gender, locality (urban/rural), and type of school management (government, private, residential). Statistical analyses including Mean, Standard Deviation, t-tests, and ANOVA were employed to test hypotheses. The findings revealed statistically significant differences in teaching competence across all three variables: female, urban, and government school teachers demonstrated higher levels of teaching competence compared to their counterparts. These results underscore the impact of demographic and institutional contexts on teaching performance and highlight the need for targeted, inclusive, and equity-driven professional development initiatives. The study provides valuable implications for educational policymakers, school administrators, and teacher education programs aiming to strengthen teacher effectiveness and enhance student learning outcomes in secondary education.

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 Keywords

Teaching competence, secondary school teachers, pedagogical competencies, communication skills, classroom assessment, critical thinking, independent learning, gender differences, urban-rural divide, school management type.

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Clinical trials today handle more data than ever before, and that data often lives in both cloud platforms and on-site systems. As a result, there's growing pressure to find integration solutions that are not only dependable but can scale as needed. In this review, we take a grounded look at popular ETL (Extract, Transform, Load) tools--focusing on how they're actually used in clinical research, not just how they're marketed. We introduce a new framework built around modular, container-based components. Why? Because this setup improves security, speeds things up, reduces errors, and helps organizations stick to evolving data standards. Our experimental findings back this up: the model outperformed traditional systems in key areas like processing speed, throughput, and scalability. But we're not claiming it's perfect. There are still plenty of hurdles to overcome, including improved semantic integration, real-time edge computing, and more intelligent AI-driven ETL systems. The main point? If you're working with hybrid clinical data environments, it's time to rethink how your systems connect, grow, and adapt. This paper is here to start that conversation.

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ETL Frameworks, Clinical Trial Data, Hybrid Cloud, Healthcare Data

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Pulmonary arterial hypertension (PAH) is a rare, progressive disorder that significantly impairs cardiopulmonary function and overall quality of life. Characterized by elevated pulmonary arterial pressure and vascular resistance, it leads to right ventricular failure if untreated. With a deepening understanding of PAH pathophysiology, the therapeutic landscape has evolved from symptomatic relief to targeted medical interventions. This review presents a comprehensive overview of the current pharmacological approaches used in PAH management and discusses investigational drugs that are under development to address existing therapeutic gaps.

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Pulmonary arterial hypertension, Targeted therapy, Endothelin receptor antagonist, Prostacyclin analogues, Phosphodiesterase inhibitor, Investigational drug

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Mental health is an essential component of overall well-being, influencing emotional balance, psychological resilience, and social functionality. Despite the increasing burden of mental health disorders globally, awareness and access to care remain limited due to stigma, lack of resources, and cultural barriers. Social workers are central to addressing these challenges through education, advocacy, counselling, and policy reform. This article explores the historical development, conceptual framework, and the contemporary role of social workers in promoting mental health awareness across diverse populations and settings. It also discusses challenges, case studies, and future directions for global mental health initiatives.

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Mental Health Awareness, Social Workers, Stigma Reduction, Counselling, Psychosocial Support

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Abstract Background: Bronchial asthma is a chronic, immune-mediated respiratory disorder marked by Th2-driven inflammation and airway hyperresponsiveness. Despite widespread use of inhaled corticosteroids (ICS) and bronchodilators, concerns remain about long-term safety and immunological gaps in asthma control. This systematic review evaluates the clinical and immunological evidence of individualised homeopathy in asthma, integrates safety/regulatory concerns, and proposes a framework for future research within an integrative medicine context. Methods: Databases including PubMed, Scopus, Web of Science, Cochrane Library, and AYUSH portals were searched for studies between 1980 and 2023 using terms like "homeopathy AND asthma" and "homeopathy AND eosinophils". Inclusion criteria: human studies assessing individualised homeopathy in asthma with clinical/immunological endpoints. Data extraction included trial design, sample size, remedy, asthma control, lung function, drug use, and biomarkers. Results: Of 58 screened studies, 17 met inclusion: 6 RCTs, 4 observational, 3 systematic reviews, and 4 pilot/immunological studies. Common remedies: Arsenicum album, Nux vomica, Sulphur, Pulsatilla, Silicea. Five studies reported reductions in eosinophils, IgE, or cytokines (e.g., IL-13). Observational data (>2000 patients) suggested improved symptom control and reduced medication dependency. However, methodological limitations included poor blinding, small samples, and non-standardised immune markers. Conclusion: Preliminary findings support individualised homeopathy as a complementary asthma therapy. However, current evidence is inconclusive due to weak methodology. Homeopathy should be used under professional supervision alongside conventional treatment. Future research must employ stratified designs, biomarker profiling, and transdisciplinary collaboration.

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Keywords: Asthma, Homeopathy, Th2 Cytokines, Immunomodulation, Safety, Integrative Medicine

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DDoS attacks are increasingly sophisticated, cybersecurity is a major concern for the safety of the contemporary world, making refined and customizable detection mechanisms a requirement. This study will employ 5 machine learning algorithms - Random Forest, Support Vector Machine (SVM), decision tree model, K-Nearest Neighbors (K-NN) and the logistic regression model in analyzing CICIDS 2017 dataset on which algorithms is best suited to detect the DDoS attack. It was found that important features such as flow duration, packet size, and protocols (type) and TCP flags were extracted and normalised to enhance the performance of the model. The model was assessed based on the accuracy, precision, recall and F1-score. The best performance obtained from all the testing algorithms models was presented by the Random Forest model, with an accuracy of 95.1 % of the results of malicious traffic detection, precision 94.3 %, overall 95.5 % round as well as 94.9 % F1-score, making the Random Forest model strong, reliable in the terms of any detections of the malicious traffic. The findings can emphasize on the efficiency of ensemble approach in minimising threats against the network and thus they can provide substantial reference of how intelligent cybersecurity solutions can be put into practice, in psuedo-real time scenarios Moreover, the paper also mentions the obstacles and limitations to the models like scalability weaknesses, overhead efficiency, and flexibility to new patterns of attacks, thereby indicating the future experimentation with resource-friendly and hybrid detection models.

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DDoS, Machine Learning, SVM, Random Forest, KNN, Logistic Regression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

(????????? ?? ??????? ????? ??????? ??? ???????????? ????????? ?? ????? ????? ???????? ???? ???? ???? ????? ??? ??????? ?? ?????, ??????????, ??????? ?????? ?? ???????? ????????? ?? ???? ?????? ????? ??? ??????????? ?? ?????? ???? ???? ??????????, ???? ????????? ?? ???????????? ??????? ?? ?????? ?? ???????? ???????? ???? ?????? ??? ?????? ????? ???? ???? ????????? ?? ?????-???? ??? ???????? ?? ?????? ?? ???????? ?????? ???? ?? ???? ????? ??? ???? ???? ??? ???? ???????? ????? ?????? ??? ??? ??? ?????? ?????? ?? ???????? ?? ??????? ??????? ?? ???????? ???? ??? ???? ??--"??? ????? ????????? ?? ??????? ???"--?? ?????? ???? ????-?????? ?? ??????? ?????????? ?? ????? ??? ????????? ?? ????? ??? ?? ?????? ?? ????? ?? ????? ??, ?? ?? ??? ??????? ?? ???????? ?? ???????????? ?? ????????? ???? ??? ???????? ???? ??? ?? ????????? ?? ???? ?????? ????, ????? ??? ????????? ?? ?????? ????? ???? ?????-?????? ??? ??????????? ?????????, ???????????????? ????????? ?? ???????????? ???????? ?? ????? ?????? ????? ??? ?? ?????? ????? ?? ????? ?? ???????? ????? ?? ????? ??? ???? ??????? ?? ??????? ?? ??????? ??? ?? ????? ???? ???? ????????? ?? ???????? ????????? ??? ????? ?? ??????? ?? ???????? ?????? ????? ?? ?? ?? ???? ?????? ???? ??? ?? ??? ???? ??? ???? ????? ??? ?????????? ???????????? ????????? ?? ???????? ???? ??? ?? ?????? ???? ??? ?? ?? ???? ??????? ? ???? ??? ?? ?????? ?? ?????? ???, ????? ?? ???, ??????????, ???????? ????? ?? ??? ?? ???? ?? ?????? ?? ????????? ?????? ????? ????? ?? ??? ???? ???, ?????? ??????????, ?????????? ????? ?? ???????????? ?????? ?? ???????? ???? ???? ?? ???? ??? ???? ????? ??? ?? ?????? ??, ??? ???? ???????? ????? ?? ??? ??? ?? ?????? ?? ?????? ?? ????????? ?? ??????? ??? ?????????? ???????????? ???????????? ?? ??? ?????? ?? ?? ???)

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Researchers have consistently shown that individuals with schizophrenia experience cognitive impairment over the last few decades. Cognitive deficits cause functional impairment in patients. Cognitive remediation training has been found to aid in symptom reduction as well as functional improvement in patients with schizophrenia. DB After being diagnosed with schizophrenia by a qualified psychiatrist from the outpatient department of the Institute of Mental Health and Hospital Agra, a 32-year-old man who is right-handed, a graduate, single, and from a middle socioeconomic background, was referred for cognitive evaluation and remediation. He currently lives with his parents in Agra. A cognitive assessment of the patient showed impairment in attention, memory and executive function. For thirty sessions, six days a week, he received the cognitive remediation training; each session lasted roughly sixty to seventy minutes. Significant progress was observed in all areas of cognitive functioning in the post-intervention scores.

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Schizophrenia, Cognitive Remediation Training, cognitive Functioning and Psychopathology.

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Optoelectronic tricks are made by the semiconductor composite and their mixtures due to their direct and indirect optical band gap energy. Here, FeSe thin films were manufactured by SILAR technique on well cleaned glass substrates at room temperature. The Prepared thin film was characterized by X-ray analysis and Uv-Visible spectroscopy. The X-ray diffraction studies revealed that, FeSe thin film is nanocrystalline in nature with hexagonal structure. The optical studies of FeSe thin film shows that the maximum absorption observed in the visible region and it can be used as an absorber in the visible region for optoelectronic devices. The direct or indirect band gap energy are varying from 2.95 eV to 2.63 eV with number of deposition cycle from 50 to 250 and thickness varies from 79 to 276 nm. The room temperature electrical resistivity were of the order of from 42 x 104 (Ohm-cm) to 16 x 104 (Ohm-cm).

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SILAR, thin film, Magnesium selenide and electrical resistivity

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