Adaptive biases-incorporated latent factorization of tensors for predicting missing data in water quality monitoring networks by Xuke Wu, Xuke Wu, Lan Wang, Lan Wang, Miao Ge, Miao Ge, Jing Jiang, Jing Jiang, Yu Cai, Bing Yang, Bing Yang

“…Nevertheless, LFT models fail to adequately account for the inherent fluctuations in water quality data, limiting their representation learning ability. Empirical evidence suggests that incorporating bias schemes into learning models can effectively mitigate underfitting. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…With their ability to find solutions among complex relationships of variables, machine learning (ML) techniques are becoming more applicable to various fields, including health risk prediction. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…The novelty of the proposed adaptive aggregation lies in its ability to maintain robust performance while minimizing computational costs, making it feasible for large-scale healthcare AI networks, such as hospital federated learning systems. …”
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IoT based real-time water quality monitoring system in water treatment plants (WTPs) by H.M. Forhad, Md. Ripaj Uddin, R.S. Chakrovorty, A.M. Ruhul, H.M. Faruk, Sarker Kamruzzaman, Nahid Sharmin, AHM Shofiul Islam Molla Jamal, Md. Mezba-Ul Haque, AKM M Morshed

“…The research highlights the system's ability to provide real-time alerts, historical data logging, and remote monitoring, all of which contribute to enhanced operational efficiency, proactive maintenance, and informed decision-making. …”
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The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

“…By replacing the baseline YOLOv8-cls with the more parameter-efficient MobileNetV3 backbone and incorporating a Coordinate Attention (CA) mechanism, the model enhances its ability to extract key local features while reducing the parameter count. …”
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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories by Muzzamil Aziz, Ioana Popa, Amjad Zia, Andreas Fischer, Sabih Ahmed Khan, Amirreza Fazely Hamedani, Abdul R. Asif

“…This topic structuring enhances the system’s ability to match user queries with relevant research, improving both the accuracy and efficiency of the search results. …”
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Effects of groove geometry around pin-fin perforation circumference on thermohydraulic behavior of pin-fin heat sinks under turbulent flow by Athasit Wongcharoen, Jenn-Kun Kuo, Wei-Cheng Wang, Parinya Ackaradetruangsri, Naratip Sangsai, Pawat Jantasorn, Ukrit Thamma

“…The superior performance of the trapezoid groove is attributed to its ability to promote the most efficient airflow through the perforations while maintaining the lowest perimeter-to-cross-sectional area ratio.…”
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DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

“…Semantic segmentation of aerial images is crucial yet resource-intensive. Inspired by human ability to learn rapidly, few-shot semantic segmentation offers a promising solution by utilizing limited labeled data for efficient model training and generalization. …”
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Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators by Karim Fathi sayeh, Salah tamalouzt, Djamel ZIANE, Brahim Deffaf, Sofia Lalouni BELAID, Youcef BELKHIER, Mohit BAJAJ, Vojtech BLAZEK

“…The simplicity and robustness of F12-DPC make it a breakthrough solution for enhancing wind energy conversion system efficiency and promoting seamless grid integration.…”
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Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

“…Conclusions The FEEDNETICS™ application enhances our ability to optimize feeding strategies and improve production efficiency in the aquaculture industry. …”
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Streamflow Prediction in Human‐Regulated Catchments Using Multiscale Deep Learning Modeling With Anthropogenic Similarities by Arken Tursun, Xianhong Xie, Yibing Wang, Dawei Peng, Yao Liu, Buyun Zheng, Xinran Wu, Cong Nie

“…These results highlight the DL models' ability to leverage multiscale attributes for improved performance compared to traditional catchment attributes. …”
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OPPORTUNITIES AND RISKS OF USING AI-BASED APPLICATIONS IN RESEARCH:  THE CASE OF UKRAINIAN UNIVERSITIES by Oleksandra Borodiyenko, Iryna Drach, Nataliia Bazeliuk, Olha Petroye, Iryna Reheilo, Oleksandr Bazeliuk, Olena Slobodianiuk

“…Respondents also showed little belief in AI-based applications’ capacity to streamline the research process, improve scientific writing quality, boost research efficiency, or develop new skills for researchers. …”
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Characterization of the Differences in Dissolved Organic Matter (DOM) Adsorbed on Five Kinds of Microplastics Using Multiple Methods by Xianshu Fu, Xiangliang Pan, Jun Chen, Mingzhou Zhang, Zihong Ye, Xiaoping Yu

“…Microplastics (MPs) are ubiquitous in aquatic environments, soils, and beach sediments, demonstrating a remarkable ability to adsorb dissolved organic matter (DOM). …”
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Biomimetic tumor cell membrane-camouflaged nanomicelles for synergistic chemo-immunotherapy of Triple-negative breast cancer by Xiaoman Xu, Yunmei Song, Mingli Li, Fengxi Liu, Huiwen Zhang, Jingxia Xu, Juwei Gao, Yanna Lv, Bo Zhang, Sanjay Garg

“…This strategy leverages the homologous targeting ability of tumor cell membranes to improve the accumulation of nanomicelles within TNBC tissues. …”
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Navigating artificial intelligence in home healthcare: challenges and opportunities in nursing wound care by Sara Karnehed, Ingrid Larsson, Lena Petersson, Lena-Karin Erlandsson, Daniel Tyskbo

“…Abstract Background Artificial intelligence (AI) is increasingly introduced into healthcare, promising improved efficiency and clinical decision-making. While research has mainly focused on AI in hospital settings and physician perspectives, less is known about how AI may challenge the values that guide nursing practices. …”
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Comparative Study of P507-impregnated Polystyrene and Polyacrylate Resins for Separation of Yb/Lu by FAN Xisheng, MA Guoquan, PENG Haiyue, GAO Jing, LI Feize, LAN Tu, LIAO Jiali, YANG Yuanyou, LIU Ning

“…Although there are some LN2 resin analogues on sale in China currently, the comparability of its real separation ability with imported LN2 resin is still unknown, and their optimal separation process flow needs to be further optimized. …”

Pharmacogenetic testing: current state of the issue by O. V. Kraidashenko, O. O. Kremzer, T. O. Samura

“…The field aims to move away from the traditional one-size-fits-all approach and instead personalize medical treatment based on a person’s genetic makeup. The ability to predict a person’s response to medication based on their genetic profile has profound implications. …”
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Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

“…Notably, ET, RF, GB, and XGBoost demonstrated efficiency in feature selection, requiring fewer input variables while maintaining high performance. …”
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Camel milk-derived exosomes as novel nanocarriers for curcumin delivery in lung cancer by Mohd Saeed, Khalid Alshagdali, Disha N. Moholkar, Raghuram Kandimalla, Mohd Adnan Kausar, Farrukh Aqil

“…Among these innovations, exosomes, or small extracellular vesicles (EVs), have emerged as promising carriers for drug delivery due to their natural origin and ability to encapsulate both small molecules and biologics. …”
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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…To address this challenge, this paper proposes a target detection algorithm for underwater sea treasures called UPA-YOLO, which aims to achieve accurate and efficient detection of underwater treasures and accelerates the inference through model transformation to enable the deployment of the detection model in edge devices. …”
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