Drug Utilization Evaluation of Erythropoietin at a Referral Teaching Hospital in Iran by Iman Karimzadeh, Hanieh Rasekh, Ava Karimian, Mojtaba Shabani-Borujeni, Afsaneh Vazin

“…The aim of this study was to evaluate the pattern of erythropoietin use, according to standard guidelines, in patients admitted to Namazi Hospital in Shiraz, Iran. …”
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Efficiency of Electrical Cardioversion of Paroxysmal Atrial Fibrillation in the Use of Bipolar QuasiSinusoidal Impulse in Patients with Coronary Heart Disease by V. A. Vostrikov, K. V. Razumov

“…The ECV success rate was 88.6% in patients with clinically relevant and severe (acute chronic) heart failure (HF), 98% in those with mild HF and without its clinical signs (p<0.05), and 83% in those with acute myocardial infarction. …”
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The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

“…<b>Results</b>: A 10% speed reduction decreased peak tibial acceleration (PTA), vertical average loading rate (VALR), vertical instantaneous loading rate (VILR), and vertical impulse by 13%, 10.9%, 9.3%, and 3.2%, respectively. …”
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Recent trends in dental research in Saudi Arabia: Mapping review (2010–2020) by Waad Khayat, Mona Rajeh

“…The most productive years were 2018 and 2019, and the average annual growth rate of research productivity was 21%. Implant dentistry showed the fastest growth rate. …”
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Dynamics of HBsAb persistence and associated BCR IgG-H CDR3 repertoire features in ultra-high versus extremely low responders to HBV vaccination by Ting-Wen Yang, Ting-Wen Yang, Li-Na Sun, Ting Zhang, Yu-Rong Pan, Jun Li, Yang-Yang Li, Zhi-Yong Han, Wan-Bang Sun, Xin-Sheng Yao, Xiao-Yan He

“…Additionally, the average mutation rate of the IgG-H CDR3 repertoire in Group H was slightly higher than that in Group L after the third vaccination. …”
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<i>ZmNLR</i><i>-7</i>-Mediated Synergistic Regulation of ROS, Hormonal Signaling, and Defense Gene Networks Drives Maize Immunity to Southern Corn Leaf Blight by Bo Su, Xiaolan Yang, Rui Zhang, Shijie Dong, Ying Liu, Hubiao Jiang, Guichun Wu, Ting Ding

“…Upon inoculating the <i>ZmNLR-7</i> EMS mutants with <i>Bipolaris maydis</i>, the disease index was increased to 33.89 and 43.33, respectively, and the lesion expansion rate was higher than that in the wild type, indicating enhanced susceptibility to southern corn leaf blight. …”
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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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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Epidemiological characteristics and influencing factors of the cluster outbreaks of influenza-like illness in Yangpu District， Shanghai， 2012‒2022 by XIE Qianru, JIANG Chenyan, TAO Fangfang, QIAO Peng

“…ObjectiveTo analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district.MethodsData on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis.ResultsA total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. …”
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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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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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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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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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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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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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