Comparison of performance data between emergency medicine 1‐3 and 1‐4 program formats by Michael S. Beeson, Melissa A. Barton, Earl J. Reisdorff, Wallace A. Carter, Marianne Gausche‐Hill, Diane L. Gorgas, Kevin B. Joldersma, Sally A. Santen

“…Abstract Objective This study compares performance data from physicians completing 3‐year versus 4‐year emergency medicine residency training programs. …”
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Second-generation downscaled earth system model data using generative machine learningOEDI by Grant Buster, Brandon N. Benton, Deeksha Rastogi, Shih-Chieh Kao, Guilherme Castelao, Jordan Eisenman

“…This downscaling is performed through application of a generative machine learning approach called Super-Resolution for Renewable Resource Data (sup3r). …”
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A method integrating a non-stationary random field for constrained inversion of CSAMT data by Qianwei DAI, Luyao GUO, Yun WU, Zhexian XIONG, Dan DUAN, Zhonglin BAO, Hongfei WU, Fengyun HAO

“…In addition, the proposed method was applied to measured data from the exploration of the Ye’erkeman-Jinba gold deposit in Habahe County, Xinjiang to validate its practical application effects. …”
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A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments by P. Yeste, P. Yeste, P. Yeste, M. García-Valdecasas Ojeda, M. García-Valdecasas Ojeda, S. R. Gámiz-Fortis, S. R. Gámiz-Fortis, Y. Castro-Díez, Y. Castro-Díez, A. Bronstert, M. J. Esteban-Parra, M. J. Esteban-Parra

“…This work aims to investigate the capabilities of the Variable Infiltration Capacity (VIC) model in a large-sample application focused on the joint integration of streamflow and evaporation data for 189 headwater catchments located in Spain. …”
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Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches by Yiqi Chen, Changyou Liu, Ningbo Zhang, Huaidong Liu, Xin Yu, Shibao Liu, Jianning Hu

“…Simulating the actual situation of application scenarios, the input data for the second and third steps were set as the output data from the previous step, and the model was evaluated. …”
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Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…For data handling, the key innovation is the application of the local indicator of spatial association (LISA), a technique that typically provides <i>p</i>-values to assess the statistical significance of observed spatial clusters. …”
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Intelligent quality control method for marine buoy data based on transformer encoder and BiLSTM by Miaomiao Song, Miaomiao Song, Miaomiao Song, Saiyu Gao, Saiyu Gao, Shixuan Liu, Shixuan Liu, Shixuan Liu, Yuzhe Xu, Yuzhe Xu, Yuzhe Xu, Shizhe Chen, Jiming Zhang, Jiming Zhang, Jiming Zhang, Wenqing Li, Wenqing Li, Wenqing Li, Keke Zhang, Keke Zhang, Keke Zhang, Xiao Fu, Xiao Fu, Xiao Fu

“…These experiments demonstrate that this method exhibits high accuracy and efficiency in filling in missing data, rectifying stuck values and identifying anomalous data, showing broad application potential.…”
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Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem by Yibei Chen, Dorota Jarecka, Sanu Ann Abraham, Remi Gau, Evan Ng, Daniel M Low, Isaac Bevers, Alistair Johnson, Anisha Keshavan, Arno Klein, Jon Clucas, Zaliqa Rosli, Steven M Hodge, Janosch Linkersdörfer, Hauke Bartsch, Samir Das, Damien Fair, David Kennedy, Satrajit S Ghosh

“…We introduce its conceptual and practical foundations, compare it against 12 platforms to assess its effectiveness in addressing inconsistencies in data collection, and demonstrate its application through 3 use cases: standardizing required mental health survey common data elements, tracking changes in longitudinal data collection, and creating interactive checklists for neuroimaging research. …”
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The role of 5G in enhancing IOT connectivity: a systematic review on applications, challenges, and future prospects by Shankha Goswami, Surajit Mondal

“…URLLC provides near-instantaneous data transfer essential for mission-critical applications, eMBB supports high-speed data for bandwidth-intensive applications, and mMTC enables connectivity for a vast number of IoT devices. …”
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Exploring IoT and Blockchain: A Comprehensive Survey on Security, Integration Strategies, Applications and Future Research Directions by Muath A. Obaidat, Majdi Rawashdeh, Mohammad Alja’afreh, Meryem Abouali, Kutub Thakur, Ali Karime

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Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications by Rasheed Mohammad, Omer S. Alkhnbashi, Mohammad Hammoudeh

“…After fine tuning ChatGPT with data from the Altibbi platform, accuracy improved to a range of 87% to 92%. …”
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A Path-Driven Fluid Routing and Scheduling Method for Continuous-Flow Microfluidic Biochips with Delay Time Optimization by Zhisheng Chen, Bowen Liu, Hongjin Su, Zhen Chen, Genggeng Liu, Xing Huang

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Real-world data of cadonilimab in recurrent or metastatic cervical cancer in China: a multicentric study by Jian Chen, Haijuan Yu, Yingtao Lin, Dan Hu, Li Liu, Renliang Fan, Jianping Zou, Lele Zang, Yao Lin, Rong Lin, Dezhao Chen, Xiaoying Weng, Fenfang Shen, Shaoyu Wang, Wei Zeng, Qihua Tian, Yun Yi, Yuanfeng Chen, Jinjin Miao, Bo Zhang, Yinxia Zou, Fengming Gao, Fengming Gao, Rong Lian, Lin Yang, Yang Sun

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Classification of Service Sentiments on the by.U Application using the Support Vector Machine Algorithm by Zulkarnain Zulkarnain, Rice Novita, Angraini Angraini, Zarnelly Zarnelly

“…This study aims to classify user sentiment toward the by.U application service using the Support Vector Machine (SVM) algorithm. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

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Design of an all-optical quaternary encoder to code decimal numbers by utilizing optical Kerr nonlinear material by Apurba Guchhait, Nirmalya Pahari, Nabin Baran Manik

“…Secondly, it supports the simultaneous encoding of ( $${4}^{n}-1$$ 4 n - 1 ) different input signals expressed in ‘n’ bit quaternary states, enhancing parallel data handling. Third, unlike conventional electronic encoders that depend on electronic OR gates, this scheme eliminates the need for both electronic and optical gates, making it a versatile solution for optical communication, all-optical computation, and various photonic-device applications. …”
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Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

“…Although studies have focused on single-drone applications, collaborative applications for air pollution detection are relatively underexplored. …”
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INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…The region of Lake Baikal is one of the most studied geodynamically active regions of Russia; therefore, published data from previous studies of the Baikal region were used to interpret the data obtained by the authors.By interpreting the obtained data from the unified tectonophysical positions, the three objectives were met, and the following research results were stated:1. …”
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Optimizing the early-stage of composting process emissions – artificial intelligence primary tests by Joanna Rosik, Maciej Karczewski, Sylwia Stegenta-Dąbrowska

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

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