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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POLYNEOPLASMS IN OPHTHALMIC ONCOLOGY: CLINICAL AND EPIDEMIOLOGICAL ASPECTS by I. Ye. Panova, I. S. Suslo, Ye. I. Gyuntner, I. A. Kuchenkova, A. E. Arakelyan

“…The paper analyzes the clinical and epidemiological aspects of polyneoplasms of the organ of vision, shows the incidence rate of this abnormality in the pattern of neoplasms of the eye, and determines the specific features of the age-sex composition of patients and the clinical course characterized by a predominance of the metachronic type of a tumor process and by the most common concurrence with malignant skin tumors or breast cancer.…”
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Modelling of circumferential surface topography of grinding wheel with random distribution of circular truncated cone abrasive grains by Xiaodong CHEN, Dexiang WANG, Feng GUO, Xinming LI, Jingliang JIANG

“…Finally, the real grinding wheel surface topography and the constructed grinding wheel surface topography model are compared and analyzed to determine the accuracy of the modeling method in this paper.ResultsA corundum grinding wheel model is constructed with a diameter and width of 20 mm and 4.5 mm, particle size code of F80, grinding wheel structure number of 7, abrasive rate of 48% and grinding particle size of 152 to 178 μm. …”
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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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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…We introduce Temporal Structural Graph Anomaly Detection (<sc>T-StructGAD</sc>), an unsupervised framework that leverages Graph Convolutional Gated Recurrent Units (<monospace>GConvGRU</monospace>s) and Long Short-Term Memory networks (<monospace>LSTM</monospace>s) to jointly model both structural and temporal dynamics in graph node embeddings. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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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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Interest groups in Lithuania: dynamics of development and characteristics of institutionalization by Alvidas Lukošaitis

“…Author concludes that the rate of transformation and democratization of the political system in Lithuania determined that the dispersion of the interests in society has been carried very dynamically. …”
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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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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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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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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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Measurement of food sensitivity with special reference to food properties in children with autism spectrum disorder by Rameen Sameer, Beenish Israr, Aqsa Inam, Hafiza Kinza Javed

“…The Childhood Autism Rating Scale (CARS) was used to assess behavioral responses and food acceptance. …”
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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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Color characteristics and psychological healing effects in Rokuon-ji Temple Garden: a quantitative analysis by Jinyang Wang, Yoichi Kunii

“…From an initial collection of 150 photographs documenting the garden’s complete visitor experience, 42 landscape photographs were systematically selected based on healing quality ratings (mean ≥5.0, median ≥5.0, standard deviation &lt;1.2) and analyzed for six color categories (red, yellow, brown, gray, white, green) using three quantitative metrics: fractal dimension, diversity index, and concentration index. …”
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Socio-Demographic Factors and Health-Oriented Behaviors of University Students in the Podkarpackie Region. Long-Term Prospective Research by Paweł Więch, Dariusz Bazaliński, Zdzisława Chmiel, Józef Ratajczyk, Paweł Januszewicz, Monika Binkowska-Bury

“…It was conducted in 2009 and repeated two years later. The rating of the behavior patterns of students was conducted in accordance with the following schedule: October 2009 – January 2010 (T1), October 2011 – January 2012 (T2). …”
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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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