Entries by Admin Ijcsrr

The Benefits of Cooperative Teaching Applied Through Projects to Improve Learning for Students with Autism Spectrum Disorder

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People with autism spectrum disorder (ASD) are characterised by severe limitations in nodal connectivity of information, which can involve some or several levels of the neuropsychological information processing system to various degrees. For this reason, in besides treating behaviours formally expressed by international classifications, it´s necessary to apply programmes to facilitate functional connectivity and fluidity […]

Serratia marcescens whispering world: Mechanisms and Implications

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As widely distributed Gram-negative bacilli, Serratia marcescens is in soil, vegetation, food and aquatic environments as well as human tissues. S. marcescens is well known for its opportunistic pathogenicity, regularly influencing immunocompromised individuals. This pathogen employs cell to cell communication system known as quorum sensing (QS) to coordinate multiple physiological and virulence activities via controlling […]

Experimental Assessment of Guar Gum and Silicon Oxide Nanoparticle Hybrid for Enhanced Oil Recovery

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This study investigated the enhanced oil recovery (EOR) potential of hybrid formulations comprising guar gum polymer and silicon oxide (SiO₂) nanoparticles. The research aimed to address the limitations of using only polymer (Guar gum) as EOR agent, by exploring the synergistic effects of guar gum and SiO₂ nanoparticles in improving oil recovery efficiency.  The study […]

The Utilization of Artificial Intelligence (AI) in English Skills as an Implementation of the Industrial Revolution 5.0

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The implementation of Artificial Intelligence (AI) in English skills, as exemplified by the Duolingo application, illustrates the transformative shift in education within the Industrial Revolution 5.0 era, where human–machine collaboration enhances personalized skill development. This study involved 30 Grade XI students at SMKN 3 Baubau and employed a descriptive qualitative approach to examine learners’ perceptions […]

The Effect of Recognition Language on Addictive Nature in The Use of Social Media

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 Language of recognition is the act of retrieving existing knowledge, creates the possibility of seeing something or someone from a new perspective. The leading causes of addiction: the need to socialize, get pleasure, and get a sense of security and control over the situation. This research employs a mixed-methods approach with a sequential explanatory design. […]

A Theoretical and Practical Analysis of Geometry and Proportions in Discontinuous Double-Layer Architectural Systems

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Despite the stylistic and structural significance of discontinuous double-shell domes in architectural heritage, limited scholarly attention has been devoted to their geometric foundations. This case-based study investigates the relationship between theoretical and practical geometry in the design and construction of discontinuous double-shell domes. The research seeks to answer two main questions: (1) What is the […]

Effect of Accession and Drought Stress on Growth and Adaptability of Pineapple (Ananas comosus (L.) Merr.) in Lowland Areas

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This research was conducted in the Greenhouse of the Agricultural Zone, Medan Baru, Kandang Limun, Muara Bangka Hulu Subdistrict, Bengkulu City. The study aimed to analyze the effect of different pineapple accessions (Ananas comosus (L.) Merr.) on the growth and adaptability of local pineapple under drought stress conditions. The experiment was arranged in a Completely […]

Quantification and Characterization of Microplastics in Five Popular Indian Toothpaste Brands – A Comprehensive Analysis

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This research has investigated the presence and composition of microplastics in five popular toothpaste brands in India. Using a novel wet peroxide digestion method, the study successfully isolated and quantified microplastics in each brand, highlighting significant variations in concentration and polymer types. Sample S4 had the highest microplastic concentration (0.248 g/g) and the largest particle […]

Using a Small Dataset in Learning for Object Anomaly Detection

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This paper introduces a novel approach to object anomaly detection using an ordered ensemble method with Procrustes distance, emphasizing data efficiency with small training sets. Unlike traditional deep autoencoder methods, which rely on pixel-wise reconstruction and require large datasets (e.g., 200 images per category in the MVTec AD dataset), our method leverages Procrustes distance to […]

Exploring the Current Structure of the Business Ecosystem in the Indonesian Travel Agency Subsector

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The wave of digital transformation has shaken the foundations of Indonesia’s tourism industry, disrupting long-established structures and forcing the travel agency subsector to adapt, evolve, or risk obsolescence. This study explores the current structure of the business ecosystem within Indonesia’s travel agency subsector. Using a qualitative approach, data were gathered through document analysis, in-depth interviews, […]