Surgeon Sex and Postoperative Resource Utilization: A Population-Based Cohort Study by Kiyan Heybati, BHSc, Raj Satkunasivam, MD, MS, Khatereh Aminoltejari, MD, MSc, FRCSC, Hannah S. Thomas, MBChB, MS, Arghavan Salles, MD, PhD, Natalie Coburn, MD, MPH, Frances C. Wright, MD, Med, FRCSC, Lesley Gotlib Conn, PhD, Amy N. Luckenbaugh, MD, Sanjana Ranganathan, MD, Carlos Riveros, MD, Jason Sutherland, PhD, Colin McCartney, MBChB, PhD, FRCA, FFARCSI, FRCPC, Kathleen Armstrong, MD, MSc, FRCSC, Barbara Bass, MD, Allan S. Detsky, MD, PhD, CM, Angela Jerath, MD, MSc, Christopher J. D. Wallis, MD, PhD

“…Patients treated by male surgeons had higher use of postoperative resources versus those with female surgeons within 30 days (adjusted rate 33.1; 95% confidence interval [CI]: 28.0–39.2 versus 31.2; 95% CI: 25.8–37.7), 90 days, and 1 year. …”
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Non-uniform temperature fields and debonding of a long-span CFST arch bridge under coupled environmental actions by Qian Zhou, Jiao Wan, Jingzhou Xin, Jiu-qun Mao, Jianting Zhou

“…Experimental and theoretical analyses yielded several significant findings: (1) During the hydration exothermic phase, the temperature field at concrete center exhibited a tri-linear distribution pattern (characterized by rapid initial rise, subsequent decline, and final stabilization), with the ascending rate significantly exceeding the descending rate; temperatures exceeded 50°C between 25 and 73 h post-placement. (2) The external steel tube temperature demonstrated sinusoidal diurnal variations during and post-hydration, closely correlating with ambient temperature fluctuations; after hydration, concrete temperatures also followed sinusoidal diurnal distributions, with amplitudes increasing proportionally to radial distance from the center. (3) A pronounced radial temperature gradient from center to surface manifested during hydration, reaching a maximum differential of 40°C; the temperature gradients substantially decreased to 7°C after hydration. (4) Longitudinal stress differentials between the interface steel tube and concrete measured 42.5 MPa (sun-exposed side) and 74.2 MPa (shadowed side), while radial stress differentials were −1.37 MPa and −0.34 MPa, respectively. (5) The temperature field model demonstrated a tri-linear distribution pattern with an effective influence depth of D/8 to D/4 (where D represents steel tube diameter); the temperature constant exhibited significant temporal dependency on environmental conditions and hydration heat evolution. (6) Although longitudinal relative slip occurred at the steel-concrete interface during placement, no void was detected.…”
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

“…These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. …”
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Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

“…Incident CVD occurred at a higher rate in the positive PhenoAgeAccel group (44.8% vs. 33.1%) at a comparatively shorter period (11.2 years vs. 12.4 years). …”
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Wastewater treatment study using multi-soil-layering system by LUO An-cheng, ZHANG Chun-di, DU Ye-hong, SHEN Qin-qin

“…It is composed of soil mixture block layers arranged in a brick-like pattern and water-permeable layer. It has many advantages compared with other land treatment systems, such as preventing clogging, increasing hydraulic loading rate, enhancing the purification ability of soil, et al. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. …”
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Evaluation of the implementation of the EWARS Mobile epidemiological surveillance tool in Sudanese refugee camps in Eastern Chad: a retrospective and population-based surveillance... by Stephane Tewo, Balde Thierno, Freddy M. Banza, Idriss M. Mahamat, N'dri K. Eric-Didier, Djinguebey N. Raoul, John Otokoye Otshudiema, Castilla Echenique Jorge, Moussa Brahimi, Djoumbarina Maina, Evers Egmond, Marcel Woung, Kazuki Shimizu, Boris I. Pavlin, Jacques L. Tamuzi, Jacques L. Tamuzi, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Charles S. Wiysonge, Charles S. Wiysonge, Blanche-Philomene Melanga Anya

“…Case reporting, alert recording, and weekly reporting were completed successfully at all levels (camps, district, zone, and province) (≥80% completion rate). In contrast, the timeliness of alert reporting, weekly reporting, and probable outbreaks did not perform well across levels (≥80% timeliness rate). …”
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Renal hyperfiltration as risk factor of major adverse cardiovascular events in patients with acute myocardial infarction by Jin Sug Kim, Weon Kim, Hyo-jin Lee, Kyung Hwan Jeong, Su Jin Jeong, Myung Ho Jeong, Jin-Yong Hwang, Seung Ho Hur, Hyeon Seok Hwang

“…A total of 9561 AMI patients with estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73 m2 were enrolled from a large nationwide cohort. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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STANDARD OF LIVING OF THE RUSSIAN POPULATION: FEATURES OF INTERREGIONAL DIFFERENTIATION DYNAMICS by N. A. Gerasimenko

“…This circumstance allowed usto determine the nature of changes and identify two groups of Federal districts that are moving away from each  other at an increasing rate in terms of the standard of living of the population. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Migration of Impurities in the Structure of Graphene by A.S. Dolgov, Ju.L. Zhabchyk

“…It is determined that the general pattern of transfer quality coincides with the law of particle diffuse propagation and rate of process propagation in the graphene structure exceeds the analogous value for the comparable two-dimensional square array. …”
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The association between reported artificial light and reported physical activity at night: the mediating roles of environmental restorativeness and perceived safety by Hansen Li, Qian Liu, Ying Yang, Liming Liu, Guodong Zhang, Xing Zhang, Mingyue Yin, Yang Cao, Matthew H. E. M. Browning

“…In contrast, subjective artificial light at night, when rated within a certain range (≥4), was positively associated with perceived safety, environmental restorativeness, and nighttime physical activity. …”
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Evaluating the Quality of Online Fertility Nutrition Claims by Kimberly R Lush, Amy T Hutchison, Jessica A Grieger

“…Survey participants rated 40 claims using a 5-point Likert scale from “Not at all likely” to “Highly likely”. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…To ensure a high success rate of image recognition after segmentation, judging whether an X-ray SDR image represents a defect was treated as a pattern recognition process. …”
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Knowledge-map and bibliometric analysis of scientific research on FDA-approved Chimeric Antigen Receptor T cell products (2015–2024) by Moutaz W. Sweileh

“…Bibliometric indicators including average annual growth rate, citation impact, key contributors, authorship pattern, and international collaboration were assessed. …”
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