reapxdev/zenodo-scraper huggingface dataset:
UnWeave: reproduction package for "Unlearning in Incrementally Fine-Tuned Object Detectors: A Fisher-Ratio Selection Rule and Its Measurement Protocol"
Authors: Kutlu, Zeynel, AGCA, RIDVAN KAGAN, BİNGÖL, Emrecan
Type: Dataset
Published: 2026-08-03
Keywords: machine unlearning, object detection, incremental learning, evaluation protocol, Fisher information, relearn-time verification, measurement validity, YOLOv8, reproduction package

<p>Reproduction package for a study of machine unlearning in incrementally fine-tuned single-stage object detectors.</p>
<p>The archive contains every experiment script, in the order in which it is run, together with the derived result tables in CSV form from which each table and figure in the paper is generated. Model checkpoints are omitted because of their size and the image data is not redistributed; the weapon chain is built from a publicly available dataset distributed through Roboflow Universe and the second chain from PASCAL VOC, both obtainable from their original sources.</p>
<p>Contents:<br>  scripts/    71 Python scripts and 14 queue scripts (the full pipeline, the published baselines, the measurement studies, and the GPU queues as they were actually run)<br>  results/    58 CSV files (2,344 rows) covering the weapon and VOC chains, the five published baselines, the probe-strength and probe-repeatability sweeps, the schedule and random-selection controls, the degenerate-state diagnosis, and the cross-architecture selection geometry<br>  README.txt  environment, data provenance, pipeline order, and protocol notes</p>
<p>Five files are superseded pilots or smoke tests, named as such rather than removed, so that every number in the paper can be traced to the run that produced it. None of them feeds a table or figure.</p>
<p>The queue scripts are included deliberately, including one that carried a scope bug: two GS-LoRA seeds were launched with the adapter scope left at its default and so adapted every convolution rather than the neck and head. The paper reports both the corrected runs and the accidental ones, and the scripts let a reader see how the discrepancy was found.</p>
A STUDY ON BENEFITS TO THE ORGANIZATION DUE TO INVENTORY CONTROL AND TECHNIQUES
Authors: Mr.N.LOGESH
Type: Publication
Published: 2026-08-03

<p class="MsoNormal"><span>The past assessment tackle material and budgetary production network organization has generally grasped fringe examination what's more, EOQ model, which rely upon the ordinary idea of personal circumstance intensification or "Efficiencies". Regardless, this idea consistently drives those strong endeavors in a store system to have their more fragile assistants' benefits by association reserve approach; as such outcomes in the break of the cash related streams along the chain. This paper discusses the intrigue unbalance inside such a little structure and its negative effects; at that point proposes a way to deal with decide it from viewpoint of association and cooperation. An essential model of stable money stream along generation system is given. </span></p>
Plant Disease Prediction System Using Deep Learning and Image  Analysis
Authors: Mr. Sushant Puramwar, Mr. Tukaram Joshi, Mr. Rameshwar Paradkar, Ms. Amrapali Salve
Type: Publication
Published: 2026-08-03
Keywords: Plant Disease Detection, Deep Learning,  Im-age  Classification,  MobileNetV2,  Agriculture, Transfer Learning.

<p>Plant diseases pose a significant threat to agricultural productivity, causing substantial economic losses and food security challenges worldwide. Traditional disease identification relies on manual visual inspection, which is time-consuming, subjective, and often inaccessible to small-scale farmers. This paper presents an automated Plant Disease Prediction System utilizing deep learning techniques for disease identification from leaf images. The proposed system employs the MobileNetV2 architecture pre-trained on ImageNet, fine-tuned for classification of tomato and potato leaf diseases. The model was trained and evaluated on the PlantVillage dataset, comprising images of healthy and diseased leaves across multiple disease categories. The system achieves 90.47% classification accuracy with a precision of 91.18% and provides a user-friendly web interface for disease diagnosis. Experimental results demonstrate the ef-fectiveness of the proposed approach in enabling rapid, accurate, and accessible plant disease detection, contributing to sustainable agricultural practices and improved crop management. </p>
From Human Resources to Human Dignity: Gandhian Entrepreneurship and People-Centred Start-up Leadership in India
Authors: Kumar, P. Shravan
Type: Book chapter
Published: 2026-08-03

<p class="MsoNormal"><span>The language of business often calls people resources. The expression is convenient. It is also dangerous. A resource can be acquired, allocated, consumed, optimised, and replaced. A human person cannot be treated in that way without moral loss. This article proposes a dignity-centred approach to entrepreneurship and human resource management in Indian start-ups. It draws from Gandhian thought, especially ahimsa, satyagraha, swaraj, sarvodaya, and trusteeship, and places these ideas in conversation with contemporary HRM, entrepreneurship studies, Catholic social teaching, and Indian labour law. The central argument is simple: start-ups do not become humane after they succeed; they become worthy of success when they build humane structures from the beginning. People-centred entrepreneurship is not sentimental softness. It is a disciplined way of organising power, employment, voice, reward, learning, and accountability. The article develops the idea of entrepreneurial ahimsa as non-violent institution-building. This includes fair contracts, transparent hiring, psychological safety, dignified exits, non-discriminatory workplaces, care for gig and contract workers, data dignity, and lawful compliance. It also reads legal compliance not as a burden placed upon entrepreneurship, but as the public grammar through which dignity enters organisational life. The Indian Constitution, labour codes, equality norms, occupational safety, sexual harassment law, disability rights, CSR, and business responsibility reporting become part of a wider ethical architecture. The paper ends with a practical framework for dignity-centred start-up leadership. It argues that the future of entrepreneurship in India will depend not only on capital, technology, and scale, but on the moral quality of work.</span></p>
<p class="MsoNormal"><strong><span>Keywords: </span></strong><span>human dignity; entrepreneurship; HRM; Gandhi; ahimsa; start-ups; Indian labour law; trusteeship</span></p>
Friendship in Interreligious Dialogue: Rebuilding Social Trust in a Polarized World
Authors: Almeida, Anil
Type: Book chapter
Published: 2026-08-03

<p class="isselectedend"><strong><span>Abstract: </span></strong><span>In a context marked by increasing religious polarization, nationalism, and the erosion of social trust, this article reexamines the meaning and practice of interreligious dialogue in contemporary India. Drawing on lived experiences of immersion programs, encounters with diverse religious communities, and friendships across faith traditions, it argues that dialogue is most transformative when grounded in genuine human relationships. While existing models of interreligious dialogue have created important spaces for engagement, they often remain confined to institutional, academic, or theological exchanges and frequently fail to nurture deeper trust and mutual understanding. The article proposes friendship as a relational framework that moves dialogue beyond tolerance and coexistence toward empathy, hospitality, attentive listening, and shared learning.</span></p>
<p><span>Bringing Hindu and Christian resources into conversation, the study explores friendship as a spiritual, ethical, and social practice. Insights from the Bhagavad Gītā, the Gospel of John, Tulsidas, Pope Francis, James L. Fredericks, Catherine Cornille, and others illuminate how friendship enables persons to encounter the religious other not as a threat or object of evaluation, but as a fellow seeker and bearer of wisdom. Particular attention is given to the roles of listening, empathy, storytelling, and shared experience in overcoming prejudice and fostering mutual transformation. The article further develops Pope Francis’s notion of social friendship to argue that interreligious friendship has significance beyond personal relationships and can help rebuild trust, strengthen democratic coexistence, and nurture a culture of encounter. It concludes that friendship is not merely an adjunct to dialogue but a transformative praxis through which religious communities can cultivate deeper understanding, social harmony, and peaceful coexistence in pluralistic societies.</span></p>
<p><span> </span></p>
<p><strong><span>Keywords</span></strong><strong><span>: Friendship; social trust; empathy; listening; social friendship; learning; polarization</span></strong></p>
A Systematic Review of Hybrid Deep Learning and Explainable Artificial Intelligence Approaches for Polymorphic Malware Detection
Authors: Amina Fadila Shehu
Type: Journal article
Published: 2026-08-03
Keywords: Polymorphic Malware, Hybrid Deep Learning, Malware Detection, Explainable    Artificial Intelligence

<p class="MsoNormal">Polymorphic malware remains difficult to detect because it alters its observable code structure while preserving malicious functionality, thereby weakening signature-based, static-only and single-modality learning systems. Objective: This paper systematically reviews recent literature on hybrid deep learning, multimodal feature representation, malware datasets and explainable artificial intelligence for polymorphic malware detection. Methods: A structured review protocol was applied to peer-reviewed and high-quality scholarly sources on malware detection, deep learning, explainability, datasets, obfuscation, polymorphism and metamorphism, with emphasis on works from 2020 to 2026 and foundational studies where necessary. Studies were grouped thematically according to detection approach, feature modality, dataset support, robustness and interpretability. Findings: The review shows that convolutional models are effective for byte and image representations, recurrent and gated models support API and opcode sequence learning, and multimodal fusion improves coverage against representation-changing malware. However, most studies remain limited by single-modality designs, weak polymorphic dataset validation, insufficient cross-dataset testing and limited explanation of feature contribution. Conclusion: The literature supports a research direction that combines hybrid CNN-LSTM-GRU modelling, polymorphism-aware dataset construction, ablation analysis and multi-method XAI. The review provides a structured research agenda for developing robust and interpretable malware detection systems suitable for evolving polymorphic threats.</p>
Effect of smartphone addiction on hand muscle strength and function among college going students: A comprehensive review
Authors: Deptee Warikoo, Niraj Kumar, Manmeet Kaur Bhalla, Sneha Singhal, Kajal, Ankit Kumar
Type: Journal article
Published: 2026-08-03
Keywords: Smartphone addiction, Hand muscle strength, Grip strength, Hand function, College students, Musculoskeletal disorders, Physiotherapy, Thumb pain

<p>Smartphones have become an indispensable component of modern life, particularly among college-going students who utilize these devices for academic learning, communication, entertainment, and social networking. Although smartphones have revolutionized access to information and improved connectivity, excessive and uncontrolled use has resulted in a growing public health concern known as smartphone addiction. Prolonged smartphone use often requires repetitive thumb movements, sustained gripping, awkward wrist postures, and continuous activation of intrinsic and extrinsic hand muscles, which may contribute to muscle fatigue, reduced grip strength, impaired dexterity, and various musculoskeletal disorders. College students are particularly vulnerable because of prolonged screen time associated with educational activities, online classes, gaming, and social media engagement. This review aims to summarize current evidence regarding the effect of smartphone addiction on hand muscle strength and functional performance among college-going students. The article discusses the epidemiology of smartphone addiction, underlying biomechanical and physiological mechanisms, assessment methods, clinical manifestations, and physiotherapy interventions. Current literature indicates that prolonged smartphone use is associated with decreased grip strength, reduced pinch strength, impaired fine motor coordination, and increased prevalence of disorders such as De Quervain's tenosynovitis, carpal tunnel syndrome, tendinitis, and thumb pain. Preventive strategies including ergonomic education, activity modification, strengthening exercises, stretching, and early physiotherapy management are essential to minimize adverse musculoskeletal outcomes. This review also identifies current research gaps and proposes future directions for improving evidence-based management of smartphone-related hand dysfunction among young adults.</p>