Volume 14 | Issue 7 |

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Pseudomonas aeruginosa, Biofilm, Antimicrobial resistance, Multidrug resistance, Hospital-acquired infection.

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Creative Commons Attribution 4.0 and The Open Definition

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Floristic surveys play a vital role in documenting plant diversity and providing baseline information for biodiversity conservation, ecological studies, and environmental management. The present study was conducted at the Telangana Tribal Welfare Residential Degree College (Girls) campus, Asifabad, Kumuram Bheem Asifabad District, Telangana, India, to document the floristic diversity of the campus. Repeated field surveys were carried out during the study period covering different seasons, and all vascular plant species occurring within the campus were recorded through direct field observations. Plant specimens were identified using standard regional floras and authenticated taxonomic literature. A total of 185 plant species belonging to different families and genera were documented, representing trees, shrubs, herbs, climbers, grasses, sedges, and aquatic plants. The checklist includes several medicinally important, economically valuable, ornamental, and ecologically significant species. The study provides the first comprehensive floristic inventory of the college campus and establishes a valuable baseline database for future taxonomic, ecological, conservation, and educational studies. The documented flora will serve as an important reference for plant identification, biodiversity monitoring, and botanical education, particularly for undergraduate students, while also contributing to the regional floristic knowledge of Kumuram Bheem Asifabad District, Telangana.

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Floristic Diversity ,Campus Flora , Biodiversity ,Kumuram Bheem Asifabad, Plant Taxonomy,Conservation

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Parivarik Sahyog ka Divyang Kishor Vidyarthiyon ki Shaikshik Uplabdhi par Padne Wale Prabhav ka Adhyayan

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Parivarik Sahyog ka Divyang Kishor Vidyarthiyon ki Shaikshik Uplabdhi par Padne Wale Prabhav ka Adhyayan

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Background Pseudomonas aeruginosa is one of the most important opportunistic pathogens responsible for hospital-acquired infections. Its remarkable ability to produce biofilms significantly contributes to antimicrobial resistance, persistent infections, prolonged hospitalization, and increased mortality. Biofilm-associated genes such as algD, pelA, pslA, and lasB play a vital role in biofilm formation and bacterial virulence. Understanding the association between biofilm production, biofilm-forming genes, and antimicrobial resistance is essential for improving infection control strategies and therapeutic outcomes. Objectives 1. To isolate and identify Pseudomonas aeruginosa from various clinical specimens. 2. To detect biofilm production using the Tissue Culture Plate (TCP) method. 3. To identify biofilm-forming genes using Polymerase Chain Reaction (PCR). 4. To evaluate antimicrobial susceptibility patterns. 5. To determine the association between biofilm formation, biofilm genes, and multidrug resistance. Materials and Methods A hospital-based cross-sectional study was conducted over 12 months in the Department of Microbiology of a tertiary care hospital in Indore, Madhya Pradesh. A total of 180 non-duplicate clinical isolates of P. aeruginosa were recovered from urine, pus, wound swabs, respiratory secretions, blood, and other clinical specimens. Identification was performed using standard microbiological methods and biochemical tests. Antimicrobial susceptibility testing was carried out according to CLSI guidelines using the Kirby-Bauer disc diffusion method. Biofilm production was assessed by the microtiter plate assay, and PCR was used to detect algD, pelA, pslA, and lasB genes. Results Among the 180 isolates, 112 (62.2%) were biofilm producers, including 41 (22.8%) strong, 46 (25.6%) moderate, and 25 (13.9%) weak producers. The prevalence of biofilm-associated genes was algD (90.2%), pslA (84.8%), pelA (79.5%), and lasB (92.0%) among biofilm-producing isolates. Biofilm producers demonstrated significantly higher resistance to ceftazidime (74.1%), ciprofloxacin (68.8%), meropenem (57.1%), imipenem (54.5%), and gentamicin (63.4%) compared with non-biofilm producers (p<0.001). Multidrug resistance was observed in 61.6% of biofilm producers compared with 23.5% of non-biofilm producers. Conclusion Biofilm formation is highly prevalent among clinical isolates of Pseudomonas aeruginosa and is strongly associated with multidrug resistance. Detection of biofilm-associated genes provides valuable information regarding bacterial virulence and antimicrobial resistance, emphasizing the need for routine surveillance and effective antibiotic stewardship in tertiary care hospitals.

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Keywords: Pseudomonas aeruginosa, Biofilm, Antimicrobial Resistance, PCR, Biofilm Genes, Multidrug Resistance

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Vidyalaya Sahyog ka Divyang Kishor Vidyarthiyon ki Shaikshik Uplabdhi par Padne Wale Prabhav ka Adhyayan

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Vidyalaya Sahyog ka Divyang Kishor Vidyarthiyon ki Shaikshik Uplabdhi par Padne Wale Prabhav ka Adhyayan

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Enterprise Resource Planning, ERP systems are now a pretty central thing for modern organizations since they tie together multiple business functions , and in a way make daily operations run more smoothly. In India, the ERP scene seems to be changing fast, mostly because cloud computing is getting more popular, plus artificial intelligence, automation, data analytics, and these broader digital transformation programs that keep appearing. Many organizations, across sectors , are putting in ERP systems so that business processes get streamlined , decisions become easier to make , and overall organizational performance gets a boost. In this study, the main purpose is to look at what current ERP trends look like , and also to think about where ERP could realistically go next in India's business setting. For the research method, a qualitative approach was used, and the evidence came from semi-structured interviews. Participants included ERP consultants, project managers, IT professionals, business owners , and also ERP users. After the interviews, the data were processed using thematic analysis, so major patterns, opportunities, and obstacles around adopting ERP could be identified. The results suggest that cloud-based ERP options, AI integration, automation, and analytics-led decision-making are actively shaping what ERP will look like in India moving forward. At the same time, some stumbling blocks still show up--like implementation costs that can climb, employee resistance, training needs that take time, and cybersecurity worries that are not really going away. The study, overall , ends by saying that ERP systems will likely keep being important for digital transformation and for business growth across India.

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Enterprise Resource Planning (ERP), Cloud ERP, Digital Transformation, Artificial Intelligence, ERP Adoption, India.

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As a managerial tool strategic planning has become a key process for managing an organization in the service sector of the economy, and helping it keep its future goals in line with the changing business environment. This study adopts an analytic approach to analyzing the linkage between strategic planning and company performance in the service sector, analyzes the influence of strategic planning practices on company outcomes including company profitability, operational efficiency, client satisfaction, innovation and competitive advantage. For this study, primary data have been collected from structured questionnaire of the managers and employees of selected service organizations and research method is quantitative approach. Descriptive analysis, correlation and regression are used to measure the strength and significance of the relationship between strategic planning and firm performance. Results proved that there is significant positive relationship between effectiveness of strategic planning and performance of the organization, which means that companies that have clearly defined strategic goals, procedure for implementing them and continuous assessment of performance have better business performance. Additionally, strategic planning will boost the adaptability of the organization, its use of resources and decision-making capabilities, and can help service firms to navigate the changing dynamics of the marketplace and meet evolving customer demands. The study finds that strategic planning plays an important role in the sustainable success of an organization and suggests that service organizations must institutionalize strategic planning practices in order to boost their overall achievements and to secure their long-term competitiveness in a rather dynamic and customer orientation business environment.

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Strategic Planning, Firm Performance, Service Sector, Organizational Performance, Competitive Advantage, Strategic Management, Business Performance, Decision-Making, Organizational Effectiveness, Sustainable Growth.

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Abstract This study examine how far Artificial Intelligence (AI) has actually been built into the Library Management Systems (LMS) of university libraries in Jammu and Kashmir. Rather than taking AI adoption for granted, the research checks, library by library, which automation and AI features can be verified from public documentary evidence. A descriptive design was used, centred on structured content analysis of the official websites, published facilities pages, institutional circulars, and recent institutional news items of five purposively chosen university libraries: the Allama Iqbal Library (University of Kashmir), Dhanvantri Library (University of Jammu), the Central Library at the Central University of Kashmir, the library of the Central University of Jammu, and the Rumi Library (Islamic University of Science and Technology, Awantipora). For each library, publicly available material was checked against a fixed checklist covering OPAC or integrated library management software, RFID-based self-check facilities, remote or off-campus access, institutional repositories, and any service explicitly branded as AI, such as a chatbot or recommendation engine. The results show that conventional automation is already well established at three of the five libraries: a functioning, documented OPAC or integrated library system (Virtua, LibSys-10, or a Koha-based platform) together with RFID-based self-check is confirmed for the University of Kashmir, the University of Jammu, and IUST, the last of which rolled out RFID as recently as April 2026. Only one library, however, has a genuinely AI-branded service in place: an official circular dated April 27, 2026, confirms that Allama Iqbal Library, University of Kashmir, launched its "AIL Chatbot" on April 23, 2026, inaugurated by the Vice Chancellor and described by the library itself as the first AI-powered chatbot introduced by any university library in Jammu and Kashmir. None of the remaining four libraries had any publicly documented AI-branded facility, whether chatbot or recommendation engine, at the time of writing. For the Central University of Kashmir and Central University of Jammu libraries specifically, even basic OPAC and RFID status could not be verified from official sources -- a public-documentation gap that is itself treated here as a substantive finding, distinct from the underlying technology gap. The study concludes that university libraries in the region have made real, verifiable progress on conventional automation, that one institution has now crossed into genuine AI-branded service delivery, and that the rest of the sample has yet to do so; it recommends fuller public disclosure of technology infrastructure alongside continued investment in staff training and AI-specific tools, with the Kashmir University case offered as a regional reference point.

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Artificial Intelligence; Library Management System; Academic Libraries; Jammu and Kashmir; Automation; University Libraries

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The rapid evolution of Artificial Intelligence (AI) is reshaping digital education by enabling personalized learning, intelligent tutoring, and data-driven decision-making. However, existing educational systems often employ Generative Artificial Intelligence (GenAI), Retrieval-Augmented Generation (RAG), and Learning Analytics (LA) as independent technologies, limiting their collective potential. This study proposes a unified conceptual framework that integrates these technologies to support the development of future-proof intelligent education. In the proposed framework, GenAI facilitates intelligent content generation and learner support, RAG enhances the reliability of AI-generated responses through knowledge retrieval, and Learning Analytics provides personalized insights based on learner behaviour and performance. The framework illustrates how these technologies can work together to create adaptive, trustworthy, and learner-centered digital learning environments. To strengthen the theoretical foundation, a PLS-SEM structural validation model is proposed to establish the relationships among the constructs and provide a basis for future empirical investigation. The study further discusses key implementation challenges, including data privacy, algorithmic bias, ethical AI governance, interoperability, and digital literacy. The proposed framework contributes to the emerging field of AI-enabled education by offering a comprehensive roadmap for integrating trustworthy AI with evidence-based educational analytics. It also provides practical guidance for educators, researchers, and policymakers seeking to design intelligent and sustainable digital learning ecosystems. Future studies may empirically validate the proposed model across diverse educational contexts to further establish its applicability and generalizability.

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Generative Artificial Intelligence, Retrieval-Augmented Generation, Learning Analytics, Intelligent Education, Personalized Learning, Artificial Intelligence in Education, Adaptive Learning.

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