Authors: S.Sathiyavathi, B.Keerthika, T.Saranya, V.Pavithra Vedhavalli

Abstract: Maize (Zea mays L.) is one of the most important cereal crops cultivated worldwide for food, feed, and industrial purposes. However, its production is significantly affected by various insect pests at different growth stages. Major pests of maize include the Fall armyworm, Corn earworm, corn leafhopper, stem borers such as leafhoppers. These pests cause damage by feeding on leaves, stems, tassels, and ears, leading to reduced yield and poor grain quality.

DOI: https://doi.org/10.5281/zenodo.18813089

 

Published by: vikaspatanker

Authors: Sanchali Sarkar, Dr. Anand Sur

Abstract: Fishes are often introduced as archetypal water breathers, yet a substantial fraction of extant species routinely combine branchial gas exchange with air breathing through lungs, modified swim bladders, buccopharyngeal surfaces, gut epithelia, or accessory organs. This dual (bimodal) respiratory strategy is widely recognized, but its functional significance is still unevenly explained across evolutionary history, comparative physiology, and ecology. A key gap in the literature is the tendency to treat air breathing as a simple hypoxia response rather than as a multi-trait adaptive complex that restructures ventilatory control, cardiovascular function, ionoregulation, and life history. This review synthesizes evidence on why dual respiration evolved repeatedly, how it operates mechanistically, and what tradeoffs it imposes. Using a comparative, concept-driven review framework, I integrate studies on (i) selective pressures that favor aerial supplementation (environmental hypoxia, hypercapnia, temperature, drought, and episodic habitat instability), (ii) physiological partitioning of oxygen uptake and carbon dioxide excretion between gills and air breathing organs, (iii) cardiovascular and blood oxygen transport adjustments that enable effective bimodal exchange, and (iv) ecological consequences including niche expansion, resilience to climate-driven deoxygenation, and evolutionary stepping stones toward amphibious lifestyles. The central argument is that dual respiration is best understood as an evolutionary solution to variable oxygen landscapes that is maintained by conditional benefits and constrained by costs such as surface predation risk, energetic demands of ventilation, and tensions between gill reduction and ionoregulatory capacity. The review proposes a conceptual model linking environment, organ design, control systems, and performance outcomes, and identifies priorities for future research in a rapidly warming and deoxygenating world.

DOI: https://doi.org/10.5281/zenodo.18812132

 

Published by: vikaspatanker

Authors: Matthew Aaron Salvador, Deejay Mark Cardinas, Utada Aaliyah Maclay, Jemaica Bayale, Engr. Carlo G. Quitos

Abstract: The study focused on the design and development of Oil Sentry, an environmentally friendly, fully automated device that uses Arduino Uno technology to improve oil spill detection and collection. It was intended as a preventive measure against the harmful effects of oil spills on water- based ecosystems, specifically the coastal areas of the Davao Gulf. Oil Sentry integrates a motorized suction system for oil removal, an infrared sensor for oil detection, and a GPS-based navigation system for surface movement. An obstacle detection mechanism was also incorporated to ensure safe and efficient operation during cleanup. The device underwent laboratory testing to evaluate suction capacity, performance efficiency, detection accuracy, and navigation stability. Results showed that Oil Sentry accurately detected and collected oil while maintaining stable movement on the water surface. The system demonstrated effective navigation with minimal water disturbance, highlighting the potential of robotic solutions for marine environmental sustainability applications.

DOI: https://doi.org/10.5281/zenodo.18811894

Published by: vikaspatanker

Prof. Elif Altürk
Affiliation	Scenior Scientist TÜBİTAK MAM – The Scientific and Technological Research Council of Turkey, Kocaeli
Email-Id:	elif.alturk@okan.edu.tr
Publication:  High stability of perovskite solar cells under ambient conditions; Emre Aslan, Tülin Ateş Türkmen, Elif Altürk, IET Renewable Power Generation, 2020, 1-5, doi: 10.1049/iet-rpg.2020.0098. Seda Dogan, Nesrin Töre, Adem Karsli, Parlak,E.A., Figen Türksoy, and Serap Günes, Photophysical and Photovoltaic Characterization of Flourene-AnthraceneBenzothiadiazole Based Donor–Acceptor Type Copolymers for Bulk Heterojunction Polymer Solar Cells, J. Nanoelectron. Optoelectron. 14, 8–18 (2019). Canımkurbey, B., Unay H., Çakırlar Ç., Büyükköse S., Çırpan A, Berber S. and Parlak E.A, ‘’Medium band gap polymer based solution-processed high-κ composite gate dielectrics for ambipolar OFET’’, Journal of Physics D:Applied Physics, 51(12) (2018) 125104. Kavak P, Parlak E.A., Investigation of Indoor Stability Testing of Polymer Solar Cell,International journal of polymer science, 7268197, (2016) Parlak E.A, S.O. Sarioglan, Investigation of the effect of diiodooctane on the morphology and performance of PTB7/PC71BM solar cells, Physica Status solidi (c), 1-5, (2015).

Published by: vikaspatanker

Authors: Narinder Sharma

Abstract: Mathematics education frequently confronts significant cognitive, emotional, and motivational barriers that impede student learning. Recent research suggests that mindfulness practice—the cultivation of intentional, nonjudgmental awareness of present-moment experience—can enhance learners’ academic engagement and performance. This article explores the theoretical foundations and empirical evidence connecting mindfulness to mathematics learning, examining how mindfulness influences attention, anxiety regulation, metacognition, motivation, and classroom climate. Drawing from cognitive science, educational psychology, and pedagogical practice, the article outlines practical strategies for integrating mindfulness into mathematics instruction, highlights measurable benefits, and discusses future research directions. The findings suggest that mindfulness may contribute to more resilient, reflective, and motivated mathematical learners.

 

 

Published by: vikaspatanker

Authors: Mrs. Thorat J.B, Saste Ghanshyam, Atharv Saste, Varun Salunkhe, Dnyaneshwar Shinde

Abstract: The current digital health landscape is saturated with generic fitness applications that fail to address the unique physiological and lifestyle constraints of individual users. This project, "FitAI Professional," addresses this challenge by developing a full-stack web application that leverages Generative AI for hyper-personalized coaching. Built using a React (Vite + TypeScript) frontend and a Node.js (Express) backend, the system integrates the Google Gemini model to act as an intelligent, context-aware planning engine. Unlike traditional rule-based systems, FitAI Professional interprets complex user profiles—including biometrics, equipment availability, and injuries—to generate structured, scientifically sound regimens. Key innovations include strict JSON schema enforcement for AI outputs and multimodal food analysis for seamless nutrition logging.

 

 

Published by: vikaspatanker

Authors: Melody Krystel Limboy, Jesson H. Cinto

Abstract: This study utilized cotton textile waste strips and broken glass as partial replacement for fine aggregates and coarse aggregates for development of eco-concretes. Through mixing, casting, and curing, three mixtures of eco-concretes and commercially produced concretes were produced. Areal density, bulk density, density, and compressive strength were tested for the three mixtures and the control group. Based on the findings, all mixtures showed successful results in compressive strength test with Mixture 3 achieving the highest average compressive strength (2.1 MPa). Among the mixtures, F- test of Independent Means showed no significant difference in the mean compressive strength among concrete mixes containing varying proportions of cotton waste textile strips and broken glass, and commercially produced concrete. This implied that the concrete with cotton textile waste strips and broken bottles can be a good substitute for commercial concrete and can also enhance more strength to the concrete made. To help improve compressive strength, use different drying days of curing days for concrete production

DOI: https://doi.org/10.5281/zenodo.18801235

 

Published by: vikaspatanker

Authors: Ashish Siddharth Kokare, Ayushraj Ashok Ankush, Aadarsh Rajesh Kamble, Punit Krishna Fasage

Abstract: Women Visitors arrive unannounced. Sometimes welcome, sometimes not. We built a doormat that watches. Raspberry Pi 4B+ waits quietly. Pressure sensor under mat feels weight, sends signal, system wakes. Telegram fires to owner: "Someone at door." Servo rotates camera, captures face, transmits image. Remote eyes where none existed. No subscription, no cloud lock-in, no monthly fees. Telegram free, Pi owned, code open. Cost under ₹5,000, works on any door, alerts any phone. Continuous monitoring eliminated—mat sleeps, Pi dozes, power sips. Only presence triggers, only relevance notifies. Smart because selective, not because complex.

DOI: https://doi.org/10.5281/zenodo.18786973

Published by: vikaspatanker

Authors: Dr. Suman Dhawan

Abstract: Faculty development programs (FDPs) have emerged as a strategic intervention in the scenario of higher learning in India. In fact, FDPs and their nexus with career advancement would be less meaningful in the absence of their continued relevance to the academic requirements of the faculty. This study is aimed at re-examining faculty development programs in the framework of their ‘relevance’ to the challenges in the arena of higher learning. In the research, the authors carried out an in-depth analysis of the alignment of FDPs with the needs of the faculty in the domain of teaching, research, the use of technologies, professional growth, and the need for national development. For the paper, the authors used empirical data obtained from Orientation and Refresher programmes conducted by the Academic Staff Colleges in Delhi. In the concluding part of the paper, the authors propose suggestions that can improve the relevance of FDPs in the changing scenario of higher education in the country.

 

 

Published by: vikaspatanker

Authors: G. Lavanya, B. Balaki, Dr. Bhuvana. R

Abstract: Skin diseases are among the most common health problems worldwide, affecting individuals regardless of age, gender, or geographical location. Early detection and appropriate treatment are essential to prevent complications and psychological distress. However, limited access to dermatologists, especially in rural and underserved areas, delays timely diagnosis. This paper presents SkinGuard AI, a deep learning-based dermatology assistant that utilizes a Convolutional Neural Network (CNN) for image-based skin disease classification. The system enables users to upload images of affected skin areas through a web interface, where the images are preprocessed and analyzed using a trained CNN model. The system predicts the disease category along with a confidence score and provides personalized treatment recommendations. Additionally, it integrates an intelligent chatbot for interactive assistance and an automated email notification module to send diagnostic reports to registered guardians. The proposed solution enhances accessibility, reduces dependency on immediate hospital visits, and provides cost-effective preliminary dermatology support. Experimental results demonstrate high classification accuracy and reliable real-time performance.

DOI:

Published by: vikaspatanker