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 article explores the practical application of traditional geodetic techniques alongside advanced methods such as GNSS observations, terrestrial and mobile laser scanning, UAV photogrammetry, and satellite radar interferometry (InSAR). …”
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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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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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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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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

“…The Software Defect Prediction (SDP) method forecasts the occurrence of defects at the beginning of the software development process. …”
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A high-resolution divergence and vorticity dataset in Beijing derived from radar wind profiler mesonet measurements by X. Guo, J. Guo, D. Meng, Y. Sun, Z. Zhang, Z. Zhang, H. Xu, L. Zeng, J. Chen, N. Li, T. Chen

“…This paper aims to produce a temporally continuous horizontal divergence and vertical vorticity dataset at the vertical resolution of 120 m, which is derived from horizontal winds measured by the RWP mesonet in Beijing using the triangle method. This dataset is generated at intervals of 6 min for the whole year of 2023, covering the altitude range of 0.51–4.11 km. …”
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Tongue-coating microbiota as a predictive biomarker of washed microbiota transplantation efficacy in pediatric autism: integration with clinical features by Hao-Jie Zhong, Zhao-Yu Pan, Yao-Fei Wei, Qian Yu, Lei Wu, Hong Wei, Xing-Xiang He

“…Predictive models were also developed based on pre-treatment tongue-coating microbiota and clinical features to forecast WMT outcomes. Results Significant alterations were detected in the tongue-coating microbiota of children with ASD, with several bacterial species showing associations with ASD symptoms and gut microbiota composition. …”
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Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control by Ramesh Arvind Naagarajan, Kiran Kumar Sathyanarayanan, Nadja Bauer, Stefan Streif, Stefan Streif

“…The system segments time-series data using the change point detection method to identify significant changes. The identified trend information is converted into detailed textual descriptions using the natural language generation technique. …”
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PREDICTION OF LOCALIZED INFLAMMATORY PERIODONTAL TISSUE DISEASES IN YOUNG PERSONS by O.V. Kholodnyak

“…However, the issue of forecasting, prevention and treatment of periodontal tissue diseases by the action of local damaging factors has not been sufficiently studied. …”
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Using online public animal price data as a signal for predicting an increase in animal disease outbreak reports: a pilot study on cross-correlation modeling in Thailand by Veerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, Wengui Li, Ronello Abila, Bolortuya Purevsuren

“…The aim of this study was to examine the cross-correlation between market price dynamics and disease outbreak patterns using publicly available online data to explore the potential of market prices as early indicators of impending TAD outbreaks. Methods Time series data on TAD outbreak reports, including foot and mouth disease (FMD), lumpy skin disease (LSD), and African swine fever (ASF), as well as animal price data for cattle and pigs in Thailand, were analyzed. …”
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Association between male (in)fertility and telomeric dysfunction: a systematic review and meta-analysis by Sunny Kumar Jignesh Kumar Patel, Amit Roy Chowdhury, Sujata Kar, Purna Chandra Mohapatra, Birendranath Banerjee

“…With the evolving an advancing scientific knowledge, STL might be adopted as a novel biomarker for detecting sperm quality, male (in)fertility, and forecasting embryonic development in the near future. …”
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The Vascular Architecture of Macular Neovascularization in Age-Related Macular Degeneration as a Predictor of Therapy Requirements: A 3-Year Longitudinal Analysis by Michael Grün, Kai Rothaus, Martin Ziegler, Clemens Lange, Albrecht Lommatzsch, Henrik Faatz

“…This study aimed to analyze the vascular characteristics of macular neovascularizations (MNVs) to identify potential biomarkers that could predict the required injection frequency throughout the disease course. <b>Methods:</b> In all patients, the initial diagnosis of nAMD was confirmed using optic coherence tomography (OCT), fluorescein angiography, and OCT angiography (OCTA). …”
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Global trends and health workforce analysis of breast cancer burden from high red meat consumption 1990–2050 using machine learning approach by Yuzhou Cai, Jingxian Qian

“…BackgroundHigh red meat consumption has been implicated in breast cancer development, yet comprehensive global burden assessments and health system relationships remain limited.MethodsWe analyzed breast cancer mortality and disability-adjusted life years (DALYs) using Global Burden of Disease 2021 data across 204 countries. …”
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Network Packet Sniffer: A Case Study of Kabale University. by Mugarurebye, Shawn, Gumoshabe, Rebecca

“…In this study, we survey existing data collection methods, mechanisms, and architectures. According to many proposed assessment criteria, we evaluate the performance of existing data collection mechanisms and summarize their characteristics. …”
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Analysis of the height difference of the zero isotherm according to two temperature profilers by E. A. Bolelov, O. V. Vasiliev, K. I. Galaeva, S. A. Ziabkin

“…One of the main indicators characterizing the quality of meteorological support of flights is the justifiability of aviation weather forecasts and forecasts of dangerous weather phenomena. …”
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Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction by He Chen, Rongchang Fan

“…The system achieves superior posture recognition performance with 78.6% mAP and 91.5% PCK@0.5, outperforming state-of-the-art methods while maintaining real-time inference capabilities (27.3 FPS). …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…The operational efficiency of many industrial processes is greatly affected by condition monitoring, which has become more and more important in the detection and forecast of electrical machine failures. …”
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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

“…The performance of our proposed models in the public datasets was an AUC-ROC of more than 95% and in the clinical dataset an even higher 96%. These ensemble methods accurately show that they have effective results in improving the precision and reliability of pre-eclampsia forecasts. …”
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A Monte Carlo simulation technique to determine the optimal portfolio by Hassan Ghodrati, Zahra Zahiri

“…One of the primary concerns on any stock market is to detect the risk associated with various assets. One of the recognized methods in order to measure, to forecast, and to manage the existing risk is associated with Value at Risk (VaR), which draws much attention by financial institutions in recent years. …”
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