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881 articles for “ER”
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Optimization of a new Bebq2/BCP-based OLED structure for optimum performance
Abstract: Opto-electronic devices exhibit highly nonlinear current–voltage (I–V) characteristics that significantly affect charge injection, transport, and recombination, evaluating their performance remains a difficult challenge. Device optimization is a key research goal in organic light-emitting diodes (OLEDs), as the thickness and arrangement of individual functional layers greatly influence electrical and optical responses. For a suggested Bebq2/BCP-based OLED structure, this work methodically examines the movement of charge carriers, their transport behavior, and the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Overcoming Obstacles to an HIV-1 Cure: Advances in Genome Editing, Immune System Reprogramming, and Viral Reservoir Elimination
Abstract: Human immunodeficiency virus type-1 (HIV-1) continues to represent a major global health challenge despite the remarkable success of antiretroviral therapy (ART). Although ART effectively suppresses viral replication and prolongs survival, it cannot eradicate the virus due to the persistence of long-lived latent reservoirs. In recent years, innovative therapeutic strategies have been explored with the aim of achieving either a functional remission or complete viral elimination. Advances in genome-editing technologies, particularly …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Listening to Colonial Disruption: Sound, Silence, and Cultural Memory in the Works of Chinua Achebe
Abstract: This article examines the significance of sound and silence in the fiction of Chinua Achebe,arguing that auditory experience functions as a crucial medium through which cultural memory,identity, and resistance are represented. Although Achebe’s novels have been extensively studied in relation to colonialism, nationalism, and language politics, comparatively little attention has been paid to their acoustic dimensions. Drawing on postcolonial theory, oral tradition studies, and cultural memory studies, this paper investigates …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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The Effect of Welding Parameter and Tool Geometry on Mechanical Properties of RZ5-10wt%TiC FSW Joint
Abstract: Friction Stir Welding (FSW) of metal matrix composite (MMC) provides the grain refinement and reinforcement redistribution of the composite used for wide application in aerospace and structural. This wide application needs development of best-suited joining process for MMC which is complicated to unite by the traditional welding process. The paper observed the consequence of the welding parameter and tools’ geometry on the mechanical properties of the friction stir butt welded …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Sources and Health Effects of Arsenic, Fluoride, and Nitrate in Water
Abstract: Arsenic, fluoride, and nitrate are major inorganic contaminants in water that pose significant risks to human health. These contaminants are introduced into water sources through both natural geological processes and human activities. Arsenic is primarily released from arsenic-bearing minerals through weathering, dissolution, and erosion, while human activities such as agriculture, mining, and fossil fuel combustion further enhance its presence in water. Fluoride contamination mainly results from the dissolution of fluoride-bearing …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 19–25 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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Evaluating the Environmental Impact of Mining: Procedures, Outcomes, and Sustainable Remediation
Abstract: Mining is necessary for economic growth and getting resources, yet also has a big impact on the environment. This article looks at the different ways that mining affects the environment, such as land degradation, deforestation, water pollution, air pollution, and loss of biodiversity. Mining on the surface and underground can cause soil erosion, damage ecosystems, and pollute groundwater and surface water with heavy metals and harmful compounds. Furthermore, the emission …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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Toxicological Profiling and Safety Assessment of NASAT 2.0: A Conceptual Framework for Adaptive Nanoparticle Therapy in Rabies
Abstract: Rabies, caused by the highly neurotropic Rabies lyssavirus, remains one of the most enigmatic and universally lethal infectious diseases known to modern medicine. Once clinical symptoms manifest following successful neuroinvasion, the fatality rate approaches absolute certainty (approximately 99.9%), a staggering statistic that has remained largely unchallenged despite massive, concurrent advances in modern virology, critical care medicine, and cellular immunology. Current late-stage therapeutic protocols, most notably the widely debated Milwaukee Protocol, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 · pp. 1–19 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Listening to Colonial Disruption: Sound, Silence, and Cultural Memory in the Works of Chinua Achebe
Abstract: This article examines the significance of sound and silence in the fiction of Chinua Achebe, arguing that auditory experience functions as a crucial medium through which cultural memory, identity, and resistance are represented. Although Achebe’s novels have been extensively studied in relation to colonialism, nationalism, and language politics, comparatively little attention has been paid to their acoustic dimensions. Drawing on postcolonial theory, oral tradition studies, and cultural memory studies, this …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 10–15 Read article
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IoT-Based Smart Waste Tracking & System for Monitoring
Abstract: In an era of rapid urban growth—driven by continued population growth and greater waste dispersion due to unregulated disposal practices by all citizens—a major challenge is emerging in the effective management of solid waste in urban environments. This project proposes a solution to this challenge: a Smart Waste Tracking & System for Monitoring. In this system, every household is provided with an RFID card, which they must use each time …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 Read article
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Studies on the Self-Assembly of Steroids and DNA Mediated by Naphthalene based Amphiphilic Block Copolymer
Abstract: Amphiphilic block copolymers have attracted considerable interest in pharmaceutical and biomedical applications, including controlled drug release, gene delivery, and biomolecular sensing. In this study, fluorescent amphiphilic block copolymers were designed to facilitate interactions with biological molecules such as DNA and antiviral agents, enabling their behavior to be monitored through fluorescence spectroscopy. Two novel block copolymers, poly(methyl methacrylate) - b - poly(dimethylaminoethyl methacrylate - co - naphthyl methacrylate) [PMMA-b-P(DMAEMA-co-NMA)] and poly(styrene) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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From Scripts to Systems: Advances and Architectures in Shell Programming
Abstract: Shell programming has grown far beyond simple command-line scripting to become an essential layer for orchestrating complicated systems and automating modern development pipelines. This article covers recent developments that are changing the function of the shell, including more expressive scripting, better error handling and debugging, and tighter integration with containerization and cloud-native systems. It shows how modern shells and accompanying tools are empowering developers to design scalable, maintainable, and portable …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 29–47 Read article