Application of Acoustic Emission Technique in Landslide Monitoring and Early Warning: A Review by Jialing Song, Jiajin Leng, Jian Li, Hui Wei, Shangru Li, Feiyue Wang

“…Traditional monitoring approaches, such as geodetic, geotechnical, and geophysical methods, have limitations in providing early warning capabilities due to their inability to detect precursory subsurface deformations. …”
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Creation and verification of a predictive nomogram model for the incidence of social isolation among China’s older population by Mei You, Yuan Ding, Zixuan Wei, Nannan Han, Annuo Liu

“…The prediction model using a nomogram for the older adult can efficiently detect and screen high-risk individuals for social isolation, forecasting its occurrence. …”
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Predictors of severe forms of rotaviral infection in children by K. D. Ermolenko, A. I. Konev, K. Yu. Ermolenko, Yu. V. Lobzin

“…Comparison of the frequency of occurrence of signs in the groups was performed using the Pearson χ2 test and Fisher’s exact method. The forecasting model was developed using discriminant analysis of the statistical package Statistica for Windows.Results. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…To address this, we propose an interpretable tree‐based machine learning (ML) model for dengue early warning systems and outbreak prediction in Bangladesh based on climatic, sociodemographic, and landscape factors. Methods A framework for forecasting DF risk was developed by using high‐performance ML algorithms, namely Random Forests, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), based on sociodemographic, climate, landscape, and dengue surveillance epidemiological data (January 2000 to December 2021). …”
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An Evaluation of the Safety, Immunogenicity, and Protective Efficacy of a Combined Diphtheria–Tetanus–Acellular Pertussis, <i>Haemophilus influenzae</i> Type b, and ACYW135 Meningo... by Xiuwen Sui, Zhujun Shao, Yuanyuan Ji, Hairui Wang, Qingfu Xu, Bochao Wei, Zhuojun Duan, Chang Wang, Ying Yang, Jiayu Zhao, Tao Zhu

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CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis by Soofi Shafiya, Mudasir Ahmad Wani, Suraiya Jabin, Mohammad ELAffendi, Jahiruddin

“…IntroductionThe unprecedented COVID-19 pandemic exposed critical weaknesses in global health management, particularly in resource allocation and demand forecasting. This study aims to enhance pandemic preparedness by leveraging real-time social media analysis to detect and monitor resource needs.MethodsUsing SnScrape, over 27.5 million tweets for the duration of November 2019 to March 2023 were collected using COVID-19-related hashtags. …”
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Simulation of snow accumulation and melting in the Kama river basin using data from global prognostic models by S. V. Pyankov, A. N. Shikhov, P. G. Mikhaylyukova

“…Currently, the improvement of numerical models of weather forecasting allows using them for hydrological problems, including calculations of snow water equivalent  (SWE) or snow storage. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…By employing Fourier-based methods and iterative recursive decomposition strategies, we effectively separated periodic and trend components. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…Traditional statistical methods like ARIMA and GARCH struggle with non-linear data. …”
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Contrail altitude estimation using GOES-16 ABI data and deep learning by V. R. Meijer, V. R. Meijer, S. D. Eastham, S. D. Eastham, S. D. Eastham, I. A. Waitz, S. R. H. Barrett, S. R. H. Barrett

“…A potential near-term and low-cost mitigation option is contrail avoidance, which involves rerouting aircraft around ice-supersaturated regions, preventing the formation of persistent contrails. Current forecasting methods for these regions of ice supersaturation have been found to be inaccurate when compared to in situ measurements. …”
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Fumarprotocetraric acid and geraniin were identified as novel inhibitors of human respiratory syncytial virus infection in vitro by Chao Wang, Chao Wang, Yi-Man Huang, Yi-Man Huang, Jun Zhao, Jun Zhao, Yi-Ming Bai, Yi-Ming Bai, Cai-Qin Yan, Cai-Qin Yan, Guan-Hua Du, Guan-Hua Du, Li-Shu Zheng, Li-Shu Zheng, Ai-Lin Liu, Ai-Lin Liu

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Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…This necessitates the development and implementation of reliable monitoring systems for early detection of dangerous shifts, subsidence, or structural instabilities. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…The presented SPIEEPC-COADL model aims to develop an effective method for detecting text-based emotional expressions to enhance HCI. …”
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Automatic Identification of Past Radiation Belts Electron Enhancement Events Using a Ground‐Based Parameter by Guillerme Bernoux, Gautier Nguyen, Angélica Sicard, Vincent Maget

“…Abstract We propose a new method for automatically identifying radiation belt electron enhancement events using Ca, a ground‐based 1D surrogate index for the global dynamics of the electron radiation belts. …”
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Experience of prenatal consultation in Zaporizhzhia region over the 2011-2015 years by N. V. Avramenko, H. A. Lomeyko, O. A. Nikiforov, O. S. Sukhonos

“…The experience of the work of prenatal consultation at the clinic of Zaporizhzhya Regional Center of Human Reproduction for the 2011- 2015 years has been analyzed. Modern methods of prenatal diagnosis, including mass and selective testing of pregnant women on birth defects and chromosomal abnormalities by ultrasound examination and evaluation of maternal serum markers, as well as prenatal, cytogenetic diagnosis of chromosomal diseases in high-risk groups have been used for the early detection and prevention of birth of children with hereditary diseases in the Zaporizhzhia region. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“… Human intervention cannot halt natural disasters like earthquakes, but machine learning application expertise can be utilized to detect patterns in data and increase understanding and predictive power. …”
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The Toxic Effects of Environmental Domoic Acid Exposure on Humans and Marine Wildlife by Ami E. Krasner, Margaret E. Martinez, Cara L. Field, Spencer E. Fire

“…This manuscript serves as a review of DA toxicosis after environmental exposure in humans and wildlife, including an introduction to HAB toxins, the history of DA toxicosis, DA production, toxicokinetic properties of DA, susceptibility, clinical signs, DA detection methods and other diagnostic tests, time course of toxicosis, treatment, prognostics, and recommendations for future research. …”
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Foodborne Botulism Caused by <i>Clostridium botulinum</i> Subtype A5(b3) by Self-Packaged Vacuum Spicy Rabbit Heads by Wen Cui, Chuanmin Ma, Ming Liu, Yan Li, Lin Zhou, Yuwen Shi, Xuefang Xu, Hui Liu

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Content of macro- and microelements in the plants of Artemisia annua L., A. ludoviciana Nutt. and A. austriaca L. by О. А. Корабльова, Д. Б. Рахметов, M. І. Шанайда, O. M. Вергун, Л. В. Свиденко, В. І. Войцехівський

“…., A. ludoviciana Nutt. and A. austriaca L. Methods. Determination of the elemental composition of plant material was carried out by the X-ray fluorescence method. …”
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Modification of Epidemiological Model for Predicting the Development of a Socially Significant Infection (by the Example of Chronic Viral Hepatitis C) by R. A. Yakhina

“…The complete epidemiological STIRD model proposed by the author (taking into account the demographic change in the structure of the population) has shown itself well in medium-term forecasting up to three years. A significant advantage of this model specification compared to other epidemiological models is the ability to predict the number of diagnostic laboratory tests needed to detect a virus in humans. …”
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