Search
241 articles for “and performance analysis”
-
Exploring the Influence of Colors on Primary School Learning Environments: A Psychophysiological Perspective
Abstract: Primary schools are thought of as a child's first educational experiences and should be planned with a supportive learning environment that supports the desired learning goals. This study's primary goal is to investigate how colors, a significant visual component of design, affect a child's psychophysiological and behavioural characteristics. The impact of prolonged exposure to a monochrome classroom on primary education is examined in this study. Depending on how color is …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 01–23 Read article
-
Relationship between Socio-Economic Status and New Word Learning
Abstract: New word learning refers to the process of learning of novel words which are not in the vocabulary of the person and it varies as a function of many potent variables. Socio economic status is one of the major variables believed to have a significant effect on new word learning. The aim of the current study to investigate if new word learning varies as a function of socio-economic status. 74 …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 19–24 Read article
-
An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms
Abstract: Most mega-city regions around the world are suffering from an ongoing increase in the number of commuting trips. Understanding commuting patterns is crucial for both public and authority planners. The understanding of travel patterns helps passengers to know about the places and the time where they could get vacant transport and also helps authority planners in laying out a new transport service. The traditional way of understanding travel patterns includes …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
-
The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis
Abstract: In today’s fast-paced world, young adults face increasing cognitive demands and heightened stress levels due to academic, professional, and social pressures. At the same time, modern lifestyles have ledto a decline in meaningful interactions with nature, which may impact both cognitive function and stressmanagement. The present study, entitled "The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis," aimed to explore the effects of nature connectedness …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–9 Read article
-
Super-twisting Algorithm Based Sliding Mode Controlled Boost Converter
Abstract: This work provides analysis of boost converter with super-twisting algorithm under sliding mode operating in continuous conduction mode. The super-twisting algorithm reduces the chattering effect which is inherent in conventional sliding mode control. Generally, chattering increases heat losses, thereby decreasing the performance of the boost converter. The aforementioned control strategy minimizes the initial current peak and provides highly improved output voltage regulation irrespective of the input voltage perturbation and load …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 38–48 Read article
-
Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
-
The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
-
AI-Powered IoT System for Early Detection and Monitoring of Livestock Health
Abstract: Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
-
Optimizing Antibiotic Analysis: A Comprehensive Guide to HPLC Process of Assessment and Quantification
Abstract: The history and uses of chromatography are thoroughly covered in this work, with an emphasis on the use of High-Pressure Liquid Chromatography (HPLC) in pharmaceutical analysis. Since its discovery by Russian botanist Mikhail Tswett in the 19th century, chromatography has undergone tremendous developments that have given rise to a variety of chromatography types and applications. The story follows the evolution historically, emphasizing Tswett's groundbreaking breakthrough in plant color classification and …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 27–44 Read article
-
The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
-
Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article
-
An Analysis of the Impact of School Leadership Styles on the Morale of Teachers and Students Achievements in Nigerian Secondary Schools
Abstract: This study examines how school leadership styles affect student achievement and teacher morale in secondary schools in Nigeria. Given the challenges faced by the Nigerian education system, such as inadequate resources, large class sizes, and socio-economic disparities, the role of effective leadership in shaping educational outcomes is of paramount importance. The research focuses on analyzing how various leadership styles—transformational, transactional, and authoritarian—affect both teacher motivation and student performance in secondary …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 14–28 Read article
-
In Silico Exploration of Podophyllum Hexandrum-Derived Phytocompounds as Potential Therapeutics Against Small Cell Lung Cancer (SCLC): A Molecular Docking Approach
Abstract: Small Cell Lung Cancer (SCLC) is a fast-growing and aggressive type of lung cancer that spreads quickly strongly associated with smoking. It is characterized by symptoms, such as persistent cough, breathing difficulties, or hoarseness, though it can sometimes be asymptomatic which makes early detection challenging. The tumor suppressor gene TP53 is critical in regulating the cell cycle and preventing uncontrolled cell division. Mutations in TP53 result in the loss of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
-
Multilingual Education and Language Policy in a Globalized World: Toward Inclusive and Equitable Learning Systems
Abstract: Multilingual education involves teaching and learning in two or more languages, promoting linguistic diversity and enhancing educational outcomes. It acknowledges learners’ native languages and integrates them with dominant or global languages to foster inclusivity and cognitive development. Multilingual education (MLE) serves as a critical framework for promoting inclusivity and equity within increasingly globalized and culturally diverse classrooms. This paper explores the role of MLE and the influence of language policies …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 64–74 Read article
-
A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
-
Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
-
QSAR Modeling of a Novel Series of Methoxylated Chalcones as Antioxidant Agents Against Gram-Positive Bacteria Staphylococcus aureus
Abstract: Background: Chalcones are aromatic ketones belonging to the flavonoid family. They are plant-based compounds and are widely found in nature. For centuries, these bioactive molecules have been utilized in various traditional medicines for the treatment of several ailments. Chalcones have antibacterial, antiviral, antimalarial, antifungal, antioxidant, and antileishmanial properties. They are also used to treat inflammation and cancer. Chalcones act as angiogenesis inhibitors, an important factor in cancer progression and metastasis. …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
-
Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
-
Examining the Relationship Between Academic Stress, Maladaptive Perfectionism and Trauma-Related Responses Among University Students
Abstract: Academic stress is a significant concern among university students, frequently contributing to maladaptive perfectionism and trauma-like responses. While perfectionism can enhance performance, its maladaptive variant may be exacerbated by academic stress which can induce trauma-like responses. This study investigates the correlation between academic stress, maladaptive perfectionism and trauma-like responses. Validated self-report measures were used in a quantitative, correlational study involving 101 university students. Linear regression analysis and Kendall’s Tau-B correlation …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 145–154 Read article
-
DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article