DAC-GCN: A Dual Actor-Critic Graph Convolutional Network with Multi-Hop Aggregation for Enhanced Recommender Systems by Gholamreza Zare, Nima Jafari, Mehdi Hosseinzadeh, Amir Sahafi

“…DAC-GCN merges graph-based learning with Deep Reinforcement Learning (DRL) techniques to improve both short-term and long-term user-item interactions. Methods: DAC-GCN utilizes a dual architecture with separate Graph Convolutional Networks (GCNs) for policy optimization and value estimation. …”
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Driving Forces and Future Scenarios for Territorial Business Development in Iran: A Future-Oriented Study with a Spatial Planning Emphasis by Ali Hosseini, Mostafa Aryankia

“…Data collection utilized a document-based survey employing the Delphi technique, while the driving forces were identified through cross-impact analysis. …”
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The Long-Term Surface Deformation Monitoring and Prediction of Hutubi Gas Storage Reservoir in Xinjiang Based on InSAR and the GWO-VMD-GRU Model by Wang Huang, Wei Liao, Jie Li, Xuejun Qiao, Sulitan Yusan, Abudutayier Yasen, Xinlu Li, Shijie Zhang

“…Natural gas storage is an effective solution to address the energy supply–demand imbalance, and underground gas storage (UGS) is a primary method for storing natural gas. The overarching goal of this study is to monitor and analyze surface deformation at the Hutubi underground gas storage facility in Xinjiang, China, which is the largest gas storage facility in the country. …”
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Submicron infrared spectroscopy assessment of single-cell phenotypic diversity in microbial lipid production by Uladzislau Blazhko, Dana Byrtusová, Volha Shapaval, Achim Kohler, Christophe Sandt, Boris Zimmermann

“…Abstract Background Microbial lipid production offers a sustainable method for creating biofuels, lubricants, and high-value oils, utilizing the metabolic uniqueness of diverse organisms like bacteria, yeasts, and microalgae. …”
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Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study by Fabienne Josefine Renggli, Maisa Gerlach, Jannic Stefan Bieri, Christoph Golz, Murat Sariyar

“…Artificial intelligence (AI) and mathematical optimization methods, such as mixed-integer programming (MIP), constraint programming (CP), genetic programming (GP), and reinforcement learning (RL), offer potential solutions to optimize scheduling and address these challenges. …”
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Long-term performance evaluation of a 1.5T MR-Linac using statistical process control techniques by Qing Xiao, Mengdie Shen, Guangjun Li, Shipai Zhu, Jinrong He, Qiang Wang, Guyu Dai, Hang Yu, Jialu Lai, Renming Zhong, Sen Bai

“…Traditional quality assurance (QA) methods, relying on binary pass/fail criteria, may overlook critical system variations. …”
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Exploring the potential of ultrasound: Novel approaches to collagen extraction, modifications, and polypeptide preparation by Yongjun Zhao, Mingming Zhong, Shuixiu Pang, Ping Liu, Yufan Sun, Qiufang Liang, Kai Yu, Junxia Wang, Abdur Rehman, Arif Rashid, Haile Ma, Xiaofeng Ren

“…This review aims to elucidate ultrasound-assisted methods aimed at optimizing collagen extraction efficiency, while also exploring the intricate relationship between ultrasound processing parameters and collagen yield. …”
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2-([1,2,4]triazolo[1,5-c]quinazolin-2-yl-)alkyl-(alkaryl-, aryl-)-amines and their derivatives. (3Н-quinazolin-4-yliden)hydrazides (1,3-dioxo-1,3-dihydro-2H-isoindol-2-yl)alkyl-(al... by Yu. V. Martynenko, M. S. Kazunin, E. А. Selivanova, S. I. Kovalenko

“…Aim: The purpose of this work is to find antimicrobial and antifungal agents among (3H-quinazolin-4-ylidene)hydrazides (1,3-dioxo-1,3-dihydro-2H-isoindol-2-yl-)alkyl-(alkaryl-, aryl-)carboxylic acids and their fused derivatives and to establish physical-chemical properties of these compounds and to correlate «structure – activity relationship» for structure optimization. Methods and results. The study of microbiological activity was conducted by disco-diffusion method on Mueller-Hinton agar on the following strains of microorganisms: gram-positive cocci (Staphylococcus aureus ATCC 25923, Enterococcus aeruginosa, E. faecalis ATCC 29212), gram-negative bacteria (Pseudomonas aeruginosa PSS27853, Escherichia coli ATCC 25922), facultative anaerobic gram-negative bacteria (Klebsiella pneumoniaе) and fungi (Candida albicans ATCC 885653). …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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Quantitative determination of 8-methoxypsoralene in mild dosage form by high-performance liquid chromatography by A. Alsayed, A. A. Prezhedromirskaya, E. A. Shnyak, S. A. Kedik

“…The acetonitrile/water mixture was used as a mobile phase in a volume ratio of 50 : 50 % to minimize chromatography time while maintaining optimal resolution. From the validation procedures, it was confirmed that the method is specific, linear (R2 > 0.997) and reproducible (relative standard deviation was ≤ 3.0 %). …”
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ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis by Weihong Huang, Wudi Wei, Xiaotao He, Baili Zhan, Xiaoting Xie, Meng Zhang, Shiyi Lai, Zongxiang Yuan, Jingzhen Lai, Rongfeng Chen, Junjun Jiang, Li Ye, Hao Liang

“… Abstract BackgroundInfluenza in mainland China results in a large number of outpatient and emergency visits related to influenza-like illness (ILI) annually. While deep learning models show promise for improving influenza forecasting, their technical complexity remains a barrier to practical implementation. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…For the foreseeable future, using affordable imaging offers tremendous potential in place of conventional field methods. To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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The unexploited potential of data systems tracking medicines utilization: an opportunity to improve access to oncology combination therapies by Steven Simoens, David Dodwell, Michael Hartevelt, Peter Lindgren, Peter Lindgren, Michele Pistollato, Lisa Pont, Caridad Pontes, Alexander Roediger, Antun Sablek, Eric Van Ganse, Qinyi Wang, Chris Wenger, Tim Wilsdon, Entela Xoxi, Entela Xoxi, Brian Godman, Brian Godman

“…These include data quality, access for different stakeholders, minimizing the burden of data entry and management, and increasing support from national authorities to foster multi-stakeholder engagement.ConclusionWhile most countries possess data systems that could serve as a foundation for tracking combination oncology therapies, these systems require optimization and proper implementation. …”
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Peculiarities of ultrasound diagnostics of paraurethral glands in women of fertile age by V. M. Grygorenko, O. V. Romashchenko, V. V. Biloholovska, M. O. Kosiukhno, S. M. Melnykov, A. L. Klius

“…Evaluation of ultrasound diagnostics of paraurethral glands considering their types of location in women of fertile age. Materials and methods. A gynaecological, sexological and ultrasound study of 94 women in the age from 24 to 42 (average age 31.01 ± 6.60) was carried out. …”
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A microbial microencapsulation design of seed coating technology to boost wheat seed performance in saline soil by Min Gong, Mengchao Zheng, Xiaobin Li, Yuyi Li, Zhigang Qiao, Yan Ren, Guohua Lv

“…Abstract Background Microbial seed coating is an effective method to improve seed performance and alleviate salt stress. …”
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Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision by Wanna Fu, Zhen Chen, Qian Cheng, Yafeng Li, Weiguang Zhai, Fan Ding, Xiaohui Kuang, Deshan Chen, Fuyi Duan

“…Traditional LAI measurement methods are often destructive and labor-intensive, while techniques relying solely on spectral data suffer from limitations such as spectral saturation. …”
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Unveiling the Diagnostic Landscape: Assessing the Rate of Positive Findings in Radiological Imaging by the Emergency Department - A Retrospective Study (December 2022 – February 20... by Fatema Ali Abdulaal, Amr Gebril, Alaa Saleh, Ali Nawaz, Ahmed Kaabneh, Arun Arya

“…Secondary objectives included evaluating factors influencing imaging outcomes and providing recommendations to enhance patient care, reduce costs, and optimize resource utilization in the ED. Methods: Between December 2022 and February 2023, 25,343 ED visits were recorded, with 6,633 patients underwent imaging. …”
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An experimental study on the effectiveness of probiotic disinfectants in the treatment of disseminated peritonitis by O. O. Bilyayeva, I. V. Karol, O. O. Diadyk

“…The aim of the work was to investigate the effectiveness of probiotic disinfectants for sanitation of the abdominal cavity in experimental peritonitis. Material and methods. An experimental study was conducted at the Shupyk National Healthcare University of Ukraine on 45 white sexually mature male Wistar rats aged 4–5 months, which were used to simulate peritonitis. …”
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Identification of Bacterial Oligopeptidase B Inhibitors from Microbial Natural Products: Molecular Insights, Docking Studies, MD Simulations, and ADMET Predictions by Malik Suliman Mohamed, Tilal Elsaman, Magdi Awadalla Mohamed, Eyman Mohamed Eltayib, Abualgasim Elgaili Abdalla, Mona Timan Idriss

“…ADMET analysis suggested that while both compounds show promise, lead optimization is required to enhance their drug-like characteristics. …”
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Genotype-Based Housing as a Potential Confounder in Studies Using Transgenic Mouse Models—Insight from the A53T Mouse Model of Parkinson’s Disease by Olga Dubljević, Miodrag Dragoj, Milica Potrebić Stefanović, Maja Srbovan, Miloš Stanojlović, Željko Pavković

“…Specifically, the A53T− mice in SGH environments displayed behavioral and molecular profiles similar to the C57BL/6J controls, while the same was not evident in the MGH environments. …”
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