A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance by Anju Kalwar, Deepika Shekhawat, Sandeep Joshi, Amit Kumar Bairwa

“…One of the core elements of such systems is the ability to recommend the right content that improves the learner’s experience. …”
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Pyridinedicarboxylate-Tb(III) Complex-Based Luminescent Probes for ATP Monitoring by Dien Nguyen Thi, Nhung Nguyen Thi, Anh-Tuan Vu, Thuong Quang Tran, Tue Nguyen Ngoc, Dien Luong Xuan, Thao Ta Thi, Truong Nguyen Xuan

“…Interestingly, these two Tb(III) complexes were quenched by ATP by a similar mechanism via π-π stacking interaction between the chelating ligand and adenine moiety. The ability of luminescent probes applied for the determination of ATP in aqueous solution has been investigated. …”
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Utilization of black soldier flies to reduce grease waste and support zero waste by Deffi Ayu Puspito Sari, Amelia Mumtaz, Diki Irawan, Prismita Nursetyowati, Aurino Djamaris

“…This study underscores the potential of BSFL as a sustainable waste management and recycling solution for organic waste, particularly in the context of food waste.…”
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3D Gaussian Splatting Methods for Real-World Scenarios by I. Petrovska, B. Jutzi

“…3D Gaussian Splatting (3DGS) is an innovative solution for explicit point-based 3D representation where each point is represented as a Gaussian distribution. …”
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Prenatal Valproic Acid Exposure Affects Song Learning in Zebra Finches: A Potential Model for Vocal Development in Autism by Estifanos Ghebrihiwet Tewelde, Boglárka Morvai, Gergely Zachar, Ákos Pogány

“…Autism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions characterized by impairments in social abilities and communication. Studying appropriate animal models can enhance our understanding of the neural mechanisms underlying these conditions, potentially leading to improved treatment and intervention strategies. …”
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Automated Quality Control of Candle Jars via Anomaly Detection Using OCSVM and CNN-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

“…This approach demonstrates strong potential for quality inspection tasks in scenarios with scarce defective data. Its ability to generalize effectively from mostly normal samples makes it a practical and valuable solution for real-world industrial inspection systems. …”
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Investigation of excipients’ nature influence on the quality indices of effervescent tablets of acetylsalicylic acid, paracetamol and ascorbic acid by О. V. Tryhubchak, Т. А. Groshovyi, S. N. Gureeva

“…As a result of the statistical processing of experimental results, the influence of excipients on the pharmaco-technological parameters of mass for tableting (bulk density, density after compression, Carr's index, flow ability, slope angle), tableting process, tablet appearance, mass uniformity, abradability, resistance to crushing, disintegration and transparency of the solution were investigated. …”
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Scale-Up and Development of a Community Industrial Prototype for Red Palm Oil Production Using Advanced Microwave Technology by Kamonpan Wongyai, Suttirak Kaewpawong, Dhammanoon Srinoum, Watcharin Kongsawat, Kasidapa Polprasarn, Vikas Rathore, Mudtorlep Nisoa

“…This innovative system provides a scalable, energy-efficient solution for community and industrial applications, offering improved product quality with minimal environmental impact. …”
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Oppositional chaotic artificial hummingbird algorithm on engineering design optimization by Vidyasagar Bhattacharjee, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Comprehensive analysis of the simulated outcomes using various statistical metrics and of the convergence profiles demonstrates that, the optimization ability of OCAHA on CEC 2017 is superior to all the comparing algorithms except MTDE. …”
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A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM by Haotian Ma, Bo Zeng, Jiayu Wang, Shengyi Wang, Chen Liang, Jiayi Zhang

“…Numerical results illustrate the benefits for environment protection and economic, risk management ability, and computational performance of the proposed scheme.…”
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Improving Corporate Accountability Through Mandatory Human Rights and Environmental Due Diligence by Daniel Maluțan, Teodora Maria Rusu, Daiana Eniu

“…The concept of mandatory human rights due diligence has been increasingly endorsed and proclaimed as a necessary solution to address these issues. This research aims to assess the ability of such a regulatory tool to serve as an instrument to protect human rights and the environment throughout the supply chain. …”
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Detection of Immunochemical Reactions Using Piezoquartz Immunosensor. Regeneration of the Electrode Bio-layer (Review) by S. S. Gogina, E. A. Smirnova, Ya. M. Stanishevskii, A. M. Stoinova

“…The review thoroughly explores three primary approaches to the regeneration of piezoelectric transducers, including the use of a chemical method, oxygen plasma-based techniques, and the application of Piranha solution.…”
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Improving Aerobics Posture Evaluation by Transfer Learning: Humanized Computational Application of BERT-PTA Domain Adaptive Methods by Wenting Zhou, Biao Guo, Feng Cao

“…Abstract Due to the influence of datasets, traditional pose evaluation methods have insufficient generalization ability, high computational resource requirements, and low efficiency. …”
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The analysis of acquisition system for electronic traffic signal in smart cities based on the internet of things by Yue Ma, Chenglong Wang, Tianlei Fu, Ziting Meng

“…This work offers an innovative technical solution for the development of ITS, promoting the deep integration and application of IoT and DL technologies in the traffic field. …”
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Apple Pest and Disease Detection Network with Partial Multi-Scale Feature Extraction and Efficient Hierarchical Feature Fusion by Weihao Bao, Fuquan Zhang

“…PMFEM leverages partial multi-scale feature extraction to effectively enhance feature representation, particularly improving the ability to capture pest and disease targets in complex backgrounds. …”
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Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

“…The prevailing educational methods predominantly rely on traditional classroom instruction or online delivery, often limiting the teachers’ ability to engage effectively with all the students simultaneously. …”
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Silica nanofluid flooding for enhanced oil recovery in sandstone rocks by Magda I. Youssif, Rehab M. El-Maghraby, Sayed M. Saleh, Ahmed Elgibaly

“…Enhanced oil recovery is proposed as a solution for declining oil production. One of the advanced trends in the petroleum industry is the application of nanotechnology for enhanced oil recovery. …”
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The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka by Daixing Lu, Kun Wang, Yubo Wang, Ye Shen

“…This study proposes a multi-level industrial data processing framework based on edge computing that aims to improve the response speed and processing ability of manufacturing sites to data and to realize real-time decision making and lean management of intelligent manufacturing. …”
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Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area by Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso

“…Conclusions can be drawn from the analysis of multiple experimental results, proving that the proposed solution can effectively improve the training efficiency of the model. …”
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Mesoporous LaFeO3: Synergistic Effect of Adsorption and Visible Light Photo-Fenton Processes for Phenol Removal from Refinery Wastewater by Thi To Nga Phan, Hong Lien Nguyen, Van Tuyen Le, Chi Nhan Phan, Thanh Huyen Pham

“…The effects of catalyst dosage, H2O2 concentration, and solution pH on the photo-Fenton catalytic degradation of phenol using mesoporous LaFeO3 were studied and optimized. …”
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