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Selection and Application of Clinical Outcome Measures
(Lampros Press, 2026) Gausiya Khan, Namrata Suri, Abdur Raheem Khan
Outcome measurement is an essential component of physiotherapy practice that provides a systematic method for assessing patient status, functional ability. disability, symptoms, and change over time. Standardized outcome measures complement clinical examination and support clinical decision-making, treatment planning, reassessment, communication, documentation, and evaluation of rehabilitation outcomes. They may assess body functions and structures, activity, and participation and are broadly classified as patient-reported or performance-based measures. Appropriate selection requires consideration of reliability, validity, responsiveness, interpretability, feasibility, clinical utility, and relevance to the patient's condition and treatment goals. Interpretation should consider measurement variability and clinically meaningful change, including minimal detectable change and minimal clinically important difference. Despite their recognized value, routine implementation remains inconsistent because of time constraints, inadequate training, limited availability, administrative barriers, and concerns regarding clinical relevance. Effective implementation requires education, standardized administration, workflow integration, appropriate documentation, feedback, and continuing support. Outcome measures across musculoskeletal, neurological, cardiopulmonary, and acute-care physiotherapy can strengthen patient-centred assessment and clinical reasoning. Future practice should emphasize standardization, practical integration, patient-centred interpretation, and cultural and linguistic suitability.
Principles and Practice of Physiotherapy: Foundations, Assessment, and Modalities
(Lampros Press, 2026) Abdur Raheem Khan, Ashfaque Khan, Minal Fiza
Soft Computing and Artificial Intelligence: A Fuzzy and Neutrosophic Perspective on the Real World
(Cambridge Scholars Publishing, UK, 2026) Syed Hauider Abbas, Shish Ahmad
This book provides an in-depth and interdisciplinary exploration of Soft Computing and Artificial Intelligence (AI) with a particular focus on fuzzy logic and neutrosophic theory as powerful tools for modeling and solving real-world problems characterized by uncertainty, imprecision, vagueness, and incomplete information. Unlike traditional hard computing approaches, soft computing techniques offer flexible, human-like reasoning capabilities that are better suited to complex and dynamic environments. The book systematically examines the theoretical foundations and practical applications of fuzzy systems, intuitionistic fuzzy sets, neutrosophic sets, and hybrid AI models, demonstrating how these approaches enhance decision-making, pattern recognition, optimization, and intelligent control systems. A key contribution of this book lies in its emphasis on real-world problem solving, where uncertainty and indeterminacy are inherent. Through conceptual models, methodological frameworks, and application-oriented discussions, the book illustrates how fuzzy and neutrosophic perspectives can improve robustness, interpretability, and adaptability in intelligent systems across diverse domains. By bridging mathematical theory with practical implementation, this book offers novel insights into the role of soft computing in advancing intelligent systems. It serves as a valuable reference for researchers and practitioners seeking innovative solutions beyond conventional AI methodologies. This book is intended for researchers, scholars, academicians, practitioners, engineers, data scientists, instructors, and graduate students working in artificial intelligence, computational intelligence, decision sciences, and applied mathematics.
From Yogic Psychology to Educational Practice: A Conceptual Framework Linking Chitta-Vritti-Nirodha, Attention Regulation, and Meaningful Learning
(Asian Journal of Education and Social Studies, 2026) Dhriti Tiwari
The possibility that contemplative disciplines can strengthen attention and thereby support learning has attracted interest across educational psychology, cognitive neuroscience and school-based yoga research. Yet the classical formulation yogaś citta-vṛtti-nirodhaḥ addresses an ethical and soteriological project, not a validated theory of academic performance. This critical narrative review examines the conceptual distance and potential connections between Pātañjala yoga psychology, experimentally studied attention regulation and meaningful learning. Relevant philosophical analysis, cognitive and educational theory, intervention trials and research syntheses were evaluated with particular attention to construct correspondence, comparison conditions, developmental context, educational outcomes and ethical implementation. The evidence supports a conditional, rather than direct, link: contemplative exercises may sometimes improve proximal attentional or emotional-regulatory processes, but improved performance on attention tasks does not establish durable understanding, conceptual change or transfer. School-based syntheses report heterogeneous and generally small benefits, with weaker or absent advantages against active controls and inconsistent effects on achievement. The proposed framework therefore distinguishes philosophical orientation, trainable regulatory practices, cognitive mediators, task-specific engagement, pedagogical mechanisms and learning outcomes. It treats curricular quality, learner agency, developmental suitability and sociocultural context as necessary moderators rather than incidental details. Four falsifiable pathways are advanced, while a competing explanation attributes some observed gains to movement, structured pauses, adult attention or expectancy. The review concludes that contemplative attention training is best understood as an optional enabling condition for well-designed learning activities, not as an alternative to explanation, retrieval, feedback, conceptual discussion or equitable teaching. Research should test mechanisms, potential harms and durable transfer through preregistered active-comparator studies using both attentional and curriculum-aligned measures.
Cell Growth Regulation and Molecular Targets of Lupeol
(CRC Press (Taylor & Francis Group), 2026) Sana Parveen, Mariyam Fatma, Snober S. Mir
Lupeol, a pentacyclic triterpene found in various fruits and vegetables, has garnered significant attention for its multifaceted therapeutic potential, particularly in cancer treatment. Its molecular targets and mechanisms of action have been extensively studied, revealing its role as an effective anticancer agent through various pathways. Lupeol modulates apoptosis and proliferation signaling pathways to fight cancer. Lupeol affects cell cycle regulatory proteins to promote apoptosis in prostate, breast, and liver cancer cell lines. Lupeol leads to G2/M phase arrest and death in prostate cancer cells (PC3 and DU145) by suppressing NF-κB activation and downregulating β-catenin signaling. Lupeol can also limit tumor growth and promote apoptosis by suppressing the STAT3 signaling pathway, which is elevated in many malignancies. Lupeol effectively targets the Wnt/β-catenin and PI3K/Akt/mTOR pathways, essential for cell survival and growth. The dual effect of lupeol on cancer cell signaling and anti-inflammatory qualities may help fight cancer. It alters the expression of pro-inflammatory cytokines, including IL-6 and TNF-α, which are increased in the tumor microenvironment and contribute to cancer growth. The medicinal potential of lupeol goes beyond cancer. Its antioxidant and androgen receptor inhibitor properties make it a prospective treatment for androgen-dependent malignancies like prostate cancer. So, lupeol acts on multiple molecular targets and pathways, including apoptosis regulation, cell cycle arrest, and inflammatory response modulation, making it a versatile compound in cancer therapy. Its ability to inhibit key signaling pathways associated with tumor growth and survival underscores its potential as a therapeutic agent in various malignancies.