Barefoot Footprint Detection Algorithm Based on YOLOv8-StarNet by Yujie Shen, Xuemei Jiang, Yabin Zhao, Wenxin Xie

“…Conventional image recognition algorithms exhibit limitations in processing barefoot footprint images characterized by concentrated feature distributions and rich texture patterns. …”
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Exploiting K-Space in Magnetic Resonance Imaging Diagnosis: Dual-Path Attention Fusion for K-Space Global and Image Local Features by Congchao Bian, Can Hu, Ning Cao

“…Magnetic resonance imaging (MRI) diagnosis, enhanced by deep learning methods, plays a crucial role in medical image processing, facilitating precise clinical diagnosis and optimal treatment planning. …”
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Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models by Ali Raza, Fatma Eid, Elisabeth Caro Montero, Irene Delgado Noya, Imran Ashraf

“…In addition, we have applied the explainable Artificial Intelligence (XAI) mechanism based on Shapley Additive exPlanations (SHAP) to enhance the transparency and interpretability of the proposed method by analyzing the decision-making processes. …”
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Control of Aerosols after Sodium Fire Accident in Integrated Fast Reactor by CUI Chunsheng, CHEN Ran, WANG Chuangao, PANG Hongchao, LUO Zhiping, HUANG Xin

“…Conditional experiments first established optimal dosages of initiator and emulsifier at 1.25wt% and 1.5wt% of total monomer mass and emulsion mass, respectively. …”
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Sustainable Recovery of Critical Minerals from Wastes by Green Biosurfactants: A Review by Bita Deravian, Catherine N. Mulligan

“…Among biosurfactants, rhamnolipids demonstrate a high affinity for metals such as lead, cadmium, and copper due to their strong stability constants and functional groups like carboxylates, with recovery efficiencies exceeding 75% under optimized conditions. Analytical techniques, including Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Fourier-Transform Infrared spectroscopy (FTIR), and Scanning Electron Microscopy (SEM), are instrumental in assessing recovery efficiency and interaction mechanisms. …”
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Artificial intelligence in central-peripheral interaction organ crosstalk: the future of drug discovery and clinical trials by Yufeng Chen, Mingrui Yang, Qian Hua

“…This review highlights AI's transformative role in CNS-peripheral interaction research, focusing on its applications in unraveling disease mechanisms, discovering drug targets, and optimizing clinical trials through patient stratification and adaptive trial design.…”
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Enhancing Energy Efficiency in a Palestinian Dairy Factory Utilizing RETScreen Expert by Aysar Yasin, Buthayna Qutaina, Saif Al-Saqqa

“…This paper delves into the intricacies of optimizing energy utilization within a dairy manufacturing facility situated in Palestine through the utilization of RETScreen Expert. …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…A characteristic feature of transport operations is the independence and asynchrony of the emergence of perturbations of optimal solutions, as well as the lack of global influence of individual perturbations on the set of all processes on the network. …”
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments by Billel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury

“…Automatic speech recognition (ASR) and speech enhancement are essential tools in modern life, aiding not only in machine interaction but also in supporting individuals with hearing impairments. These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …”
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Microbial assisted alleviation of nickel toxicity in plants: A review by Xinyu Mao, Bilal Ahmad, Sabir Hussain, Farrukh Azeem, Muhammad Waseem, Yousef Alhaj Hamoud, Hiba Shaghaleh, Amany H.A. Abeed, Muhammad Rizwan, Jean Wan Hong Yong

“…The microbe-assisted phytoremediation further optimizes the nickel detoxification processes by fostering beneficial interactions between microbes and the nickel-hyperaccumulators; promoting enhanced metal uptake, transformation, and sequestration. …”
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Utilizing Vision Transformers for Predicting Early Response of Brain Metastasis to Magnetic Resonance Imaging-Guided Stage Gamma Knife Radiosurgery Treatment by Simona Ruxandra Volovăț, Diana-Ioana Boboc, Mădălina-Raluca Ostafe, Călin Gheorghe Buzea, Maricel Agop, Lăcrămioara Ochiuz, Dragoș Ioan Rusu, Decebal Vasincu, Monica Iuliana Ungureanu, Cristian Constantin Volovăț

“…The vision transformer (ViT) model employed in this study processes MRIs as sequences of patches, enabling the capture of localized tumor features critical for early response prediction. …”
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Scenario Modelling for Reproducing Investment Potential of Institutional Sectors in the Regions of the Siberian Federal District by I. V. Naumov, A. V. Trynov, A. O. Safonov

“…The prospect for further research is building a system of mechanisms for transiting to the implementation of the optimal scenario of reproducing investment potential of institutional sectors, ensuring the restoration and progressive socio-economic development of territorial systems.…”
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BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification by Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, André C.P.L.F. de Carvalho

“…The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced non-coding genome annotation and analysis, a fundamental aspect of genomics that facilitates understanding of ncRNA functions and regulatory mechanisms in various biological processes. While traditional machine learning approaches have been employed for distinguishing ncRNA, these often necessitate extensive feature engineering. …”
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Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections by Ziyi Lu, Tianxiong Wu, Jinshan Su, Yunting Xu, Bo Qian, Tianqi Zhang, Haibo Zhou

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Development and Application of Graphene EPS Technology in Assembled Thermal Insulation Structural System: A Case Study of China’s Severe Cold Regions by Lin Ji, Yidan Hu, Junhao Guo, Zhe Li, Yun Zhang, Xuemei Li, Guilong Wang

“…Through professional mold equipment, we processed and produced graphene EPS modules and their supporting components, constructing an innovative assembled building thermal insulation structural system. …”
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A systematic review on the effectiveness of acceptance and commitment therapy on academic procrastination by Sook Huey Lee, Azizah Othman, Fatanah Ramlee

“…More rigourous randomized controlled trials are needed to explore underlying mechanisms and determine the optimal dosage of intervention.…”
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Assessement Methods of an Entity’s Economic Risks in Compiling the Accounting Policy by S. A. Kasyanova

“…The accounting policy of any economic entity is a strategically important tool for organizing accounting processes. Obviously, the assessment of economic activity risks affecting the choice of the most optimal accounting method allows it to identify the degree of impact of an event on the formation of accounting (financial) reporting indicators and prevent its material misstatements. …”
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A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

“…This work proposes a new method for the task of pansharpening: the Multi-Stage Progressive Pansharpening Network with Detail Injection with Redundancy Reduction Mechanism (MSPPN-DIRRM). This network is divided into three levels, each of which is optimized for the extraction of spectral and spatial data at different scales. …”
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Theoretical study of the possibility of glycin with thiotriazoline complexes formation by L. I. Kucherenko, O. V. Khromyleva, I. A. Mazur, S. V. Shishkina

“…The correction of imbalance of Excitatory and inhibitory neurotransmitter systems by activation of natural inhibitory processes is a promising direction of primary neuroprotection in cerebral ischemia. …”
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To study the effect of the dose of organomineral fertilizers on the accumulation and distribution of Fe, Mn, Zn and Cu in the organs of rapeseed plants by Olga A. Dubrovina, Tatyana V. Zubkova, Dmitry V. Vinogradov, Vladimir A. Kravchenko, Vyacheslav L. Zakharov

“…Knowledge of nutrient interactions can guide the development of fertilizers and optimize fertilizer application strategies to achieve high yields and high nutrient efficiency. …”
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