Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers by Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. DiZoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi

“…Here we present a closed-loop electrochemical/biophysical wearable sensing device and algorithms that directly measure whole-body sweat loss, sweating rate, sodium concentration, and sodium loss with electrode arrays embedded in a microfluidic channel. …”
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Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery by Kylen Van Osch, Daniel Allen, Bradley Gare, Thomas J. Hudson, Hanif Ladak, Sumit K. Agrawal

“…The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms. Methods A free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. …”
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Environmental exposures related to gut microbiota among children with asthma: a pioneer study in Taiwan by Aji Kusumaning Asri, Tsunglin Liu, Hui-Ju Tsai, Jiu-Yao Wang, Chih-Da Wu

“…Air pollution was estimated using an ensemble learning model that combined regression and machine-learning algorithms, while greenspace was quantified using the normalized difference vegetation index (NDVI) and green land-cover data. …”
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Multi‐objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation by Aamir Ali, Sumbal Aslam, Sohrab Mirsaeidi, Noor Hussain Mugheri, Riaz Hussain Memon, Ghulam Abbas, Hammad Alnuman

“…Multi‐objective evolutionary algorithms (MOEAs) have gained prominence for solving complex non‐linear problems involving multi‐objective functions. …”
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Post-Marketing Pharmacovigilance of Canakinumab from the FDA Adverse Event Reporting System (FAERS) by Weidong Zhang, Yunzhou Chen, Zeyu Yao, Mengling Ouyang, Minghui Sun, Shupeng Zou

“…<b>Methods:</b> We used a disproportionate analysis to quantify canakinumab-related adverse events (AEs) using four algorithms. Clinical prioritization of the detected signals was assessed with a semiquantitative score method. …”
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Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets by Quan Zhou, Qi Liang, Wanxin Xiao, Teng Li, Lei Zheng, Xiao Cheng

“…We tested this method via Landsat-8 and Sentinel-2 imagery and evaluated the accuracy of the algorithm on 7 test lakes on the Greenland Ice Sheet. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

“…Multiple logistic regression (MLR) and machine learning algorithms were adopted to construct the prediction models.Results A total of 976 patients were included, with 349 patients successfully weaned off RRT. …”
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UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image by Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong

“…The UNet-Att model proves to surpass mainstream algorithms in the dual objectives of denoising and preserving the textural intricacies of original images, which is evidenced by an increase of 9.42 dB in the high Peak Signal-to-Noise Ratio (PSNR) coupled with an improvement of 0.1131 in the Structural Similarity Index Measurement (SSIM). …”
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Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China by Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang

“…., lipid lowering medication prescription) using self-designed algorithms. While the encounter-based measures included number or rate of visits for HL, currently-noticed hyperlipidemia (CNHL, or HL noticed during the current consultation), and ever-diagnosed hyperlipidemia (EDHL). …”
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In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

“…Subsequently, four classification algorithms—linear discriminant analysis (LDA), K-nearest neighbor (KNN), support vector machine (SVM), and extreme gradient boosting (XGBoost)—were employed for classification discrimination. …”
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Enhancing antimicrobial resistance strategies: Leveraging artificial intelligence for improved outcomes by Aeshah M. Mohammed, Mohammed Mohammed, Jawad K. Oleiwi, Azlin F. Osman, Tijjani Adam, Bashir O. Betar, Subash C.B. Gopinath, Falah H. Ihmedee

“…By synthesizing current research and applications, the potential of AI-driven technologies—ranging from machine learning models that predict resistance patterns to algorithms enhancing antibiotic discovery—is illuminated to augment our arsenal against AMR. …”
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Study on the Regulation Effect of Optogenetic Technology on LFP of the Basal Ganglia Nucleus in Rotenone-Treated Rats by Zongya Zhao, Yanxiang Niu, Peiqi Chen, Yu Zhu, Liangliang Shi, Xuewei Zhao, Chang Wang, Yehong Zhang, Zhixian Gao, Wenshuai Jiang, Wu Ren, Renjun Gu, Yi Yu

“…Approximate entropy and fractal dimension algorithm can be used as an effective index to study LFP changes in rotenone-treated rats.…”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…Fortunately, more automated ways of measurement are gaining momentum due to the availability of cheap imaging and processing equipment and the development of dedicated image analysis algorithms. In this paper, we use image analysis to assess the impact of environmental conditions on the growth dynamics of two economically important fungal species, Coniophora puteana and Rhizoctonia solani. …”
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The influence of the forest corridors to the north of the Andes on the diversification of the bright‐rumped Attila, Attila spadiceus (Passeriformes, Tyrannidae), during the climati... by Patrícia Mendonça, Lincoln Silva Carneiro, Victor Leandro‐Silva, Alexandre Aleixo, Juliana Araripe, Péricles S. Rêgo

“…We used Ecological Niche Modeling (ENM) with six different algorithms to predict the potential distribution of A. spadiceus in both present‐day and past scenarios, examining the overlap climatic niche between Cis‐ and Trans‐Andean lineages. …”
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Emerging Challenges in Methicillin Resistance of Coagulase-Negative Staphylococci by Marta Katkowska, Maja Kosecka-Strojek, Mariola Wolska-Gębarzewska, Ewa Kwapisz, Maria Wierzbowska, Jacek Międzobrodzki, Katarzyna Garbacz

“…<b>Conclusions:</b> Finally, our findings imply that the recognition of methicillin resistance in CoNS requires a meticulous approach and that further research is needed to develop unified laboratory diagnostic algorithms to prevent the misreporting of borderline CoNS.…”
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Energy-efficient outdoor air flow control in ventilation systems by A. B. Sulin, A. A. Nikitin, T. V. Ryabova, S. S. Muraveinikov, I. N. Sankina

“…The expected microclimate parameters predicted assessment in real time opens up the possibility of using such elements and algorithms for controlling the ventilation and air conditioning system, which provide the required air quality with minimal energy consumption. …”
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Strategies to Lower In-Hospital Mortality in STEMI Patients with Primary PCI: Analysing Two Years Data from a High-Volume Interventional Centre by Alexandru Burlacu, Grigore Tinica, Igor Nedelciuc, Paul Simion, Bogdan Artene, Adrian Covic

“…A shock hub-centre, together with specific transfer algorithms, mobile interventional teams, ventricular assist devices, and surgical hybrid procedures seem to be the next step toward a better management of ST-elevation MI patients and subsequently lower death rates.…”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

“…Decision tree, XGBoost, and random forest algorithms, respectively, were applied for the secondary prediction. …”
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A Centralized Multi-Agent DRL-Based Trajectory Control Strategy for Unmanned Aerial Vehicle-Enabled Wireless Communications by Getaneh Berie Tarekegn, Rong-Terng Juang, Belayneh Abebe Tesfaw, Hsin-Piao Lin, Huan-Chia Hsu, Robel Berie Tarekegn, Li-Chia Tai

“…Numerical results demonstrate that the proposed method significantly enhances both communication coverage and network throughput in comparison to the base line algorithms.…”
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