Revisiting systematic geographical variations in tonsils surgery in children in the Spanish National Health System: spatiotemporal ecological study on hospital administrative data by Salvador Peiró, Manuel Ridao, Enrique Bernal-Delgado, Julian Librero, Ester Angulo-Pueyo, Natalia Martínez-Lizaga, Eusebio Castaño-Riera, Micaela Comendeiro-Maaløe

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Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug–protein–disease network-based deep learning by Zhiheng Lyu, Jiannan Yang, Zhongzhi Xu, Weilan Wang, Weibin Cheng, Kwok-Leung Tsui, Qingpeng Zhang

“…We developed an interpretable deep learning model, the AF-Biological-IS-Path (ABioSPath), to predict one-year IS risk in AF patients by integrating drug–protein–disease pathways with real-world clinical data. Using a heterogeneous multilayer network, ABioSPath identifies mechanisms of drug actions and the propagation of comorbid diseases. …”
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Assessing urban resilience and sustainability in the face of natural hazards with emphasis on reducing vulnerability in cities (Case study: Semnan city) by mozaffar mohamadkhani, zeynab karke abadi, abbas arghan

“…It was found to indicate high coordination and reliability of the data. In data analysis, descriptive and inferential statistical tests were used in Spss software. percentage; At the level of inferential statistics, Pearson correlation coefficient and sample titech test as well as neural network model were used to examine the relationship between variables. …”
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Development of an Artificial Neural Network Model to Predict the Tensile Strength of Friction Stir Welding of Dissimilar Materials Using Cryogenic Processes by Mingoo Cho, Jinsu Gim, Ji Hoon Kim, Sungwook Kang

“…FSW experiments were conducted under a variety of conditions, and the resulting temperature data were utilized as input for a heat transfer analysis. …”
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Predicting the state of charge of lithium ion battery in e-vehicles using Box-Jenkins combined artificial neural network model by Glarida Amala Louis, Siddharth Sampathkumar

“…This integration explores the inherent non-stationarity in SoC data by using the Battery Performance Index (BPI), which normalises SoC for improved time-series analysis. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…Genetic data collected through the 100,000 Genomes Project was linked with clinical and demographic data provided by the National Cancer Registration and Analysis Service, Hospital Episode Statistics and Office for National Statistics. …”
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Investigating the physical and chemical factors affecting the microbial status of water in the water distribution network of Babol City with an emphasis on the HPC index. by Hossein Faraji, Hadi Rahimzadeh, Mehdi Salari, Zahra Aghalari, Fatemeh Asgharzadeh, Somayyeh Jafarian

“…Descriptive statistics and regression analysis were employed to analyze the data.<h4>Findings</h4>Heterotrophic bacteria were detected in 61.4% of the samples, with 9.6% exceeding 500 CFU/ml. …”
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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…This study presents a novel damage identification procedure for guided wave-based SHM using deep neural networks (DNNs) trained with experimental data. This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
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Robust scale fusion and edge-aware feature attention network for remote sensing UAV road detection under harsh weather by Jialang Liu, Jialei Zhan, Jiehua Zhang, Jiangming Chen, Yan Song, Lixing Tang, Le Zhou, Chengsi Du, Yingmei Wei, Yanming Guo

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New Ray Tracing Method to Investigate the Various Effects on Wave Propagation in Medical Scenario: An Application of Wireless Body Area Network by M. J. Islam, A. W. Reza, A. S. M. Z. Kausar, H. Ramiah

“…The advent of technology with the increasing use of wireless network has led to the development of Wireless Body Area Network (WBAN) to continuously monitor the change of physiological data in a cost efficient manner. …”
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The Phytoplankton Community Exhibited Restored Species Diversity but Fragile Network Stability Under Potential Sustainable Aquaculture Approach of Marine Ranching by Dongqun Wei, Zeping Xie, Jialin Li, Diansheng Ji, Lin Qu, Baoquan Li, Xiao Wei, Song Qin

“…Nevertheless, a co-occurrence network analysis demonstrated that lower values for average degree, clustering coefficient, and average path length were exhibited in marine ranching, indicating that aquaculture activities have reduced connectivity among potential interactions. …”
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Utilization of in- and outpatient hospital care in Germany during the Covid-19 pandemic insights from the German-wide Helios hospital network. by Andreas Bollmann, Sven Hohenstein, Vincent Pellissier, Katharina Stengler, Peter Reichardt, Jörg-Peter Ritz, Holger Thiele, Michael A Borger, Gerhard Hindricks, Andreas Meier-Hellmann, Ralf Kuhlen

“…While this study provides an up-to-date analysis of utilization of hospital care in the largest German hospital network, short- and long-term consequences are unknown and deserve further studies.…”
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Investigating the relationship between human capital and innovation with the mediating role of knowledge sharing and social media networking in iranian creative companies by Hashem Atapour, Afshin Hamdipour, Sahar Safipour

“…Out of the distributed questionnaires, 233 were returned fully completed, enabling a substantial dataset for analysis. The collected data were analyzed using SPSS and SmartPLS software, facilitating both descriptive and path analysis.Findings: The descriptive analysis revealed that the research data adhered to normal distribution parameters. …”
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Enhancing the prediction of irrigation demand for open field vegetable crops in Germany through neural networks, transfer learning, and ensemble models by Samantha Rubo, Jana Zinkernagel

“…This study develops two types of artificial neural networks (ANNs), multilayer perceptron (MLPs) and long short-term memory (LSTM) networks for the prediction of available water capacity (AWC in %) as target parameter for irrigation scheduling. …”
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HURST STATISTICS (R/S-ANALYSIS) INTHESTUDY OF CLIMATIC VARIABLES by A. A. Tashilova

“…The use of long-term data of average, maximum and minimum surface air temperature of 20 meteorological stations of different climatic southern Russia (according to the state observational network of Roshydromet of the North Caucasian Directorate of the Hydrometeorological Service) is used. …”
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Leveraging airport CCTV footage through video understanding techniques for visibility prediction by Zeonlung Pun, Xinyu Tian, Shan Gao

“…Experimental results show that our three-stream network significantly outperforms single-frame and image-based models in predicting RVR_1A (average runway visibility range of one minute). …”
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Effects of Electrical Stimulation on Activation of Mirror Neuron Network in Healthy Adults during Motor Execution and Imitation: An fNIRS Study by Yao Cui, Fang Cong, Fu-Biao Huang, Ming Zeng, Jun Wang

“…Results: A total of 102 healthy adults were recruited and 72 participants’ data were analysed in the final report. The block averaged Hb data showed that HbO concentration increased and HbR concentration decreased in most MNN regions during ME and MI in both groups. …”
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Spatio-temporal clustering analysis of influenza in Jiaxing City by WANG Yuanhang, FU Xiaofei, QI Yunpeng, LIU Yang, ZHOU Wanling, GUO Feifei

“…Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. …”
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Regional differences in wintering habitat selection strategies of Siberian Crane (Leucogeranus leucogeranus) and ecological network construction of key wintering areas by Jianying Wang, Mingqin Shao

“…Landscape pattern and ecological network (EN) analyses were integrated to examine habitat changes and their impact on Siberian Crane distribution. …”
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An insightful analysis of CNN-based dietary medicine recognition by Mohammad Didarul Alam, Tanjir Ahmed Niloy, Aurnob Sarker Aurgho, Mahady Hasan, Md. Tarek Habib

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