Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…Comparative data suggest that while both machine learning and deep learning approaches perform well, some deep learning models may offer slight advantages in complex data environments. Advanced algorithms, including neural networks, decision trees, and random forests, significantly improved detection rates when integrated with EHRs, enabling real-time surveillance and timely interventions. …”
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Effects of Increasing Temperature on Bacterial Community Diversity in Mixed Stands of <i>Artemisia argyi</i> and <i>Solidago canadensis</i> in Eastern China by Haochen Yu, Guangqian Ren, Zhiyun Huang, Shanshan Qi, Biying Zhao, Xue Fan, Zhaoqi Zhu, Zhicong Dai, Daolin Du

“…The random forests algorithm identified 14 taxa as biomarkers and a model was established to correlate <i>S. canadensis</i> invasion community soil microbiota with progressive warming. …”
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Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review by Sijing Wang, Ruoyu Zhou, Yijia Ren, Meiyuan Jiao, Honglai Liu, Cheng Lian

“…Indeed, accurate RUL prediction is challenging, primarily because of the complex nature of the work and dynamic shifts in model parameters. To address these challenges, this article comprehensively explores five significant publicly accessible lithium-ion battery datasets, encompassing diverse usage conditions and battery types, offering researchers a rich repository of experimental data. …”
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Experimental Evaluation of Enhanced Antenna Switching for CFO Mitigation in DoA Estimation by Ales Simoncic, Ke Guan, Grega Morano, Ales Svigelj, Andrej Hrovat, Teodora Kocevska, Tomaz Javornik

“…The accuracy of the DoA estimation is reduced due to the additional phase shifts between the samples on the antenna elements caused by the carrier frequency offset (CFO). …”
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Species-specific variation in predicted distribution and habitat suitability of phlebotomine sand flies in Italy under different climate change scenarios by Camila González, Johan Manuel Calderón, Ana María López, Ilaria Bernardini, Luigi Gradoni, Marco Pombi, Gioia Bongiorno, Simona Gabrielli

“…On the other hand, predictions for P. perfiliewi don’t show a clear pattern, with an initial decrease and subsequent increase in suitable areas. Shifts in the distribution of insect vectors may affect the dynamics of Leishmania transmission, highlighting the need for improved surveillance strategies.…”
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Controlling the wavefront aberration of a large-aperture and high-precision holographic diffraction grating by Wenhao Li, Xinyu Wang, Bayanheshig, Zhaowu Liu, Wei Wang, Shan Jiang, Yubo Li, Shuo Li, Wei Zhang, Yanxiu Jiang, Zheng Wu, Wenyuan Zhou

“…An interference fringe measurement method is proposed, which combines the diffraction characteristics of the measuring grating with the phase-shifting algorithm. By controlling the direction, period and phase nonlinear errors of the interference fringe, high quality interference fringe can be obtained. …”
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Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow by Marius Huguet, Canan Pehlivan, François Ballereau, Antoine Dodane-Loyenet, Franck Fontanili, Thierry Garaix, Youri Yordanov, Vincent Augusto, Karim Tazarourte, Abdesslam Redjaline

“…Abstract Background In this study, we implemented an indoor positioning system to track the activities of healthcare professionals during their shifts in an emergency department, aiming to gain a better understanding of the emergency care production process. …”
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Secure THz Communication in 6G: A Two-Stage DRL Approach for IRS-Assisted NOMA by Muhammad Shahwar, Manzoor Ahmed, Touseef Hussain, Muhammad Sheraz, Wali Ullah Khan, Teong Chee Chuah

“…The first stage focuses on optimizing the secrecy rate (SR) by dynamically adjusting IRS phase shifts and transmit power allocation, ensuring secure communication links. …”
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Revealing long-term dynamics and spatiotemporal drivers of anthropogenic nutrients inputs in China: The effects of dietary and socioeconomic factors by Jia Liu, Wei Gao, Fen Guo, Yuan Zhang, Yanpeng Cai

“…This study utilized the net anthropogenic nitrogen (NANI) and phosphorus (NAPI) inputs models to calculate human induced nitrogen (N) and phosphorus (P) inputs in China from 1949 to 2022, and applied the XGBoost–SHAP algorithm to estimate the driving forces of socio–economic and dietary structure on them. …”
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River baseflow in supplying reservoirs inflows of Tehran metropolis: A machine learning modeling based on influencing factors by Bahareh Hossein-Panahi, Sara Mohandes Samani, Amir-Reza Sadeghi, Mahsa Shahi, Seiyed Mossa Hosseini, Esmaeel Parizi

“…The Baseflow Index (BFI), calculated as the ratio of mean BF to total streamflow, revealed BF contributions ranging from 55 % to 89 %, with soil moisture and snowmelt identified as dominant drivers. The BFAST algorithm detected breakpoints in BF trends, linking shifts to climatic variability and human activities like dam operations. …”
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A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

“…Finally, the optical processor is experimentally programmed by applying the obtained phase shifts from the matrix decomposition process to the corresponding phase shifters in the device. …”
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Construction of Mining Subsidence Basin and Inversion of Predicted Subsidence Parameters Based on UAV Photogrammetry Products Considering Horizontal Displacement by Jinqi Zhao, Yufen Niu, Zhengpei Zhou, Zhong Lu, Zhimou Wang, Zhaojiang Zhang, Yiyao Li, Ziheng Ju

“…Taking a mining area in Ordos, Inner Mongolia, as an example, this study employed the normalized cross-correlation (NCC) matching algorithm to extract horizontal displacement information between two epochs of a digital orthophoto map (DOM) and subsequently corrected the horizontal position of the second-epoch DEM. …”
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Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review by Andrew Booth, Duncan Chambers, Anna J Cantrell, Maxine Johnson, Louise Preston, Susan K Baxter, Janette Turner

“…Diagnostic accuracy varied between different systems but was generally low. Algorithm-based triage tended to be more risk averse than that of health professionals. …”
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Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study by Yuanyuan Gou, Long Yao, Wenli Yang, Qian Chen, Yuetao Wen, Jie Cao

“…High-throughput 16S rRNA sequencing analyzed taxonomic profiles, while a random forest algorithm was employed to construct a diagnostic model based on differentially abundant species. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…This study examines the dynamic evolution of green water resource efficiency (GWRE) under carbon emission constraints in Chengdu-Chongqing urban agglomeration (CCUA) from 2005 to 2021 by Super SBM-DEA algorithm. We analyze its dynamic trends using kernel density estimation and standard deviation ellipse methods. …”
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Surface saline lakes in the Mediterranean Sea by E. Terzić, C. Gardiol, I. Vilibić, I. Vilibić

“…We developed an objective algorithm to detect SSLs within profiles, defining a SSL according to a threshold-exceeding salinity gradient at its base. …”
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Managerial Challenges in Digital Health: Bibliometric and Network Analysis by Quentin Garçon, Benjamin Cabanes, Cédric Denis-Rémis

“…The exploration of clusters suggested dynamic shifts related to ethical considerations, health care organizations, and societal acceptance. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…Furthermore, this survey identifies persistent challenges including clinical translation barriers, algorithm performance trade-offs, and feature extraction/selection limitations. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…As droughts become more frequent due to climate change and shifts in land use, enhancing the accuracy of drought prediction is becoming crucial for informed land and water resource management. …”
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Machine learning-based identification of histone deacetylase-associated prognostic factors and prognostic modeling for low-grade glioma by Keshan Wen, Weijie Zhu, Ziyi Luo, Wei Wang

“…Notably, the two cohorts exhibited marked shifts in immune checkpoint gene transcriptional profiles and immune cell infiltration maps, underscoring fundamental biological differences that contribute to these differing prognoses. …”
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