Analysis of Vulnerability of the Population of the Sary-Dzhas Natural Plague Focus in Kyrgyzstan by G. E. Sarieva, R. Kh. Yusupov, G. Dzh. Bazarkanova, R. K. Maimulov, N. K. Moldakunova, N. N. Bekbolotova

“…Materials and methods. To calculate the index of epidemiological danger, risk and vulnerability, we used information from the archive of Karakol Anti-Plague Department, statistical data on the population size, pasture areas, tourism and hunting zones obtained from official sources. …”
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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…Moreover, the performance of this model is evaluated using the InSDN dataset and compared with existing DL model-based intrusion detection approaches and the results demonstrate a significantly higher accuracy rate of 98.4%, precision rate of 98%, recall rate of 98.5%, less detection time of 2.464 s, lesser Log loss rate of 1.0 and more metrics instilling confidence in the effectiveness of the proposed method.…”
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Detecting sub-instability before three Mw > 6.0 earthquakes on Chinese mainland in 2020–2022 with load/unload response ratio by Huaizhong Yu, Donghui Jia, Chieh-Hung Chen, Yue Liu, Haitao Wang, Jie Liu, Rui Yan, Binbin Zhao, Jianming Liu, Yuchuan Ma, Guihong Han, Wen Yang, Zhengyi Yuan, Zeping Li

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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Furthermore, our model reduces the training time by 8.2% compared to the Transformer model, demonstrating superior prediction performance and robustness in long-term ZTD forecasting. This study introduces a novel approach for high-accuracy ZTD modeling, which is significantly beneficial for precise GNSS positioning and the detection of water vapor content.…”
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One-pot, uracil-DNA-glycosylase-aided, and multi-indicator nanobiosensor detection platform for identifying Brucella melitensis from the Brucella spp by Xinggui Yang, Yue Wang, Sha Mao, Ying Liu, Fengming Chen, Junfei Huang, Xiaoyan Zeng, Hai Jiang, Shijun Li

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Anthropogenic influence has intensified the severity of summer compound hot and drought events over xinjiang, China by Xiaolu Zhang, Botao Zhou, Xiaoxin Wang, Wenxin Xie, Huixin Li

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Effect of senile asthenia syndrome on cardiovascular mortality within 12 months in patients over 70 years of age with myocardial infarction by O. Yu. Aydumova, Yu. V. Shchukin, M. V. Piskunov

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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

“…Methods: Healthcare Utilization databases of the Italian region of Lombardy and the Google Trends website were used to measure the weekly utilization of emergency and healthcare services and determining the volume of Google searches from 2020 to 2022. …”
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Adaptive Early Wildfire Monitoring Based on Spatiotemporal Prediction and Himawari 8/9 by Zekun Xu, Zhaoming Zhang, Guojin He, Shuaizhang Zhang, Tengfei Long, Guizhou Wang

“…This model integrates Stacking ConvLSTM to forecast mid-infrared brightness temperatures and employs a nonparametric dynamic thresholding method based on Otsu's algorithm for spatiotemporal anomaly detection, facilitating the identification of potential hotspots. …”
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Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine by Jean-Marie Grégoire, Cédric Gilon, François Marelli, Hugues Bersini, Stéphane Carlier

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Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning. by Shan Gao, Amit K Chakraborty, Russell Greiner, Mark A Lewis, Hao Wang

“…Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management, yet existing methods are often context-specific, require a long preparation time, and non-outbreak prediction remains understudied. …”
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Innovo GenMax MTB-RIF/INH: a moderate-complexity automated NAAT for rapid simultaneous detection of Mycobacterium tuberculosis complex and rifampin/isoniazid resistance by Xichao Ou, Bing Zhao, Huiwen Zheng, Ruida Xing, Qian Sun, Zhonghua Qin, Lixia Zhang, Kai Cui, Yuanyuan Song, Yang Zheng, Yang Zhou, Shengfen Wang, Hui Xia, Yanlin Zhao

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A duplex one-step recombinase aided PCR assay for the rapid and sensitive detection of the isoniazid resistance genes katG and inhA in Mycobacterium tuberculosis by Zhiqiang Han, Zhiqiang Han, Zhiqiang Han, Xichao Ou, Ruiqing Zhang, Xiaona Lv, Xiaona Lv, Xiaona Lv, Yuxin Wang, Yuxin Wang, Yuxin Wang, Hongyi Li, Hongyi Li, Hongyi Li, Xinxin Shen, Xuejun Ma, Yanqing Tie

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Performance evaluation of gridded satellite-based rainfall products against gauge observations in the Shire River Basin, Malawi by Sheila Kavwenje, Cosmo Ngongondo, Zuze Dulanya, Patsani Kumambala, Maurice Monjerezi

“…New Hydrological Insights for the Region: CHIRPS demonstrated consistent accuracy across most timescales, particularly during the wet season, while TAMSAT excelled in rainfall detection, supporting flood forecasting and timely decision-making in agricultural planning. …”
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Development of Smart Models to Accurately Predict Dynamic Viscosity of CO2-Saturated Polyethylene Glycol by Ayat Hussein Adhab, Morug Salih Mahdi, Bhavesh Kanabar, Anupam Yadav, Ranganathaswamy M K, Rishabh Thakur, Parveen Kumar, Braj Krishna, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

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Impact of detection rate and preventive treatment of latent tuberculosis infection on the future burden of tuberculosis among students in shanghai: a predictive study using Markov... by Xiao Xiao, Zhipeng Li, Jing Chen, Xin Shen

“…Methods A Markov model incorporating six distinct states of TB transmission was utilized to simulate disease dynamics within a hypothetical cohort of 100,000 individuals. …”
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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The relevance of the topic is argued by the rapid growth in the volume of transactions in the global economy, combined with the inability of traditional methods to provide truly effective processing of multidimensional dynamic data in real time. …”
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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

“…Methods: In line with the PRISMA guidelines for scoping reviews, we systematically retrieved academic studies, reports, and industry initiatives that used statistical methodologies to predict, model, or forecast gambling behaviour. …”
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Useful Biomarkers for Preeclampsia: Evaluating the Diagnostic Potential of FIB-4 and FIB-5 Indices by Mehmet Albayrak, Hilmi Furkan Arslan

“…Various indices have been created to facilitate the early detection of liver issues. Among these, the Fibrosis-4 index (FIB-4) and Fibrosis-5 index (FIB-5) have been utilized for several years to forecast liver dysfunction. …”
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TRYING TO DETERMINE THE DEVELOPMENT TRENDS OF THE RUSSIAN ECONOMY by A. A. Frenkel, Ya. V. Sergienko, N. N. Volkova, O. N. Matveeva

“…The paper deals with the development of integral indices to assess the overall state of the economy. A method of calculating three indices is described: leading, synchronous and lagging with the focus on the leading index that detects turning points in the dynamics of the economy. …”
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