The unwell patient with advanced chronic liver disease: when to use each score? by Oliver Moore, Wai-See Ma, Scott Read, Jacob George, Golo Ahlenstiel

“…We will also review future areas of research for each score and current gaps in the literature. …”
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ANALYSIS OF ACOUSTIC INFORMATION PROTECTION METHODS IN CRITICAL APPLICATIONS by Mykhailo Mozhaiev, Oleksandr Mozhaiev, Yurii Gnusov, Volodymyr Strukov, Petro Klimushin, Dmytro Yevstrat

“…One of the perspective directions of acoustic information protection in communication channels and dedicated premises can be considered the creation and development of computerized speech masking systems along with or in conjunction with traditional technologies of semantic protection of acoustic information, namely, speech signal classification based on cryptographic algorithms. The main requirements for today's systems that provide protection of acoustic information in critical computer systems are speed and efficiency of various speech signal processing procedures using standard inexpensive technical means of computer telephony, namely: a personal computer, sound card, telephone line interface device and/or modem. …”
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Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru by Lucia Enriquez, Kevin Ortega, Dennis Ccopi, Claudia Rios, Julio Urquizo, Solanch Patricio, Lidiana Alejandro, Manuel Oliva-Cruz, Elgar Barboza, Samuel Pizarro

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The methodology uses Machine Learning algorithms together with an exhaustive analysis of predictor variables. …”
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Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

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The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou, Cong Zhang

“…This platform integrates three main components: real-time electric field measurements, data analysis based on tuning algorithms, and automated mechanical adjustment systems. …”
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In-Hospital Stroke in a Multidisciplinary Hospital by S. S. Petrikov, G. R. Ramazanov, S. B. Binnatova, M. V. Tikhomirova

“…The study included 975 patients with ACVE hospitalized at the N.V. Sklifosovsky Research Institute for Emergency Medicine from January 1, 2018 to January 1, 2019. …”
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Western disturbances and climate variability: a review of recent developments by K. M. R. Hunt, K. M. R. Hunt, J.-P. Baudouin, A. G. Turner, A. G. Turner, A. P. Dimri, A. P. Dimri, G. Jeelani, Pooja, R. Chattopadhyay, R. Chattopadhyay, F. Cannon, T. Arulalan, T. Arulalan, M. S. Shekhar, T. P. Sabin, E. Palazzi

“…This review is separated into six main sections – structure and thermodynamics, precipitation and impacts, teleconnections, modelling experiments, forecasting at a range of scales, and paleoclimate and climate change – each motivated with a brief discussion of the accomplishments and limitations of previous research.…”
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Multiple pregnancy and solutions to the problem of its complications (a literature review) by M. O. Franchuk, L. M. Malanchuk, O. A. Franchuk

“…In order to timely identify, prevent and reduce the severity of specific complications, it is necessary to know the features of multiple pregnancies course and the main risks associated with it. However, there are still no universal algorithms for determining proper follow-up, treatment and the choose of delivery mode among women with various variants of multiple pregnancies. …”
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Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data by Petrov Vladislav, Ustinov Stepan, Minaev Vasilii

“…Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. …”
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A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis by Alali Abdulla Mousa Falah, Padmaja Dhyaram Lakshmi, Soni Mukesh, Khan Muhammad Attique, Khan Faheem, Ofori Isaac

“…Lung cancer is a substantial health issue globally, and it is one of the main causes of mortality. Malignant mesothelioma (MM) is a common kind of lung cancer. …”
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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension by Yuyang Gao, Pengyue Ma, Jiahua Pan, Hongbo Yang, Tao Guo, Weilian Wang

“…In the classification phase, considering the lack of CHD-PAH data, ensemble learning was widely used.Main resultsAn accuracy of 88.61% was achieved with direct three-divided model and 90.9% with two-stage classification model.SignificanceBy analyzing and discussing these algorithms, future research directions of CHD-PAH assisted diagnosis were discussed. …”
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METHODOLOGICAL BASIS OF AIRCRAFT COMPONENTS STATE IDENTIFICATION (AUTHENTICITY) ON THE BASIS OF THE INFORMATION APPROACH by Yu. I. Buryak

“…An appropriate criteria is formed its researches are carried out and the decision-making rule to hold input inspection is offered.…”
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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. …”
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Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing by Kinga Karwowska, Damian Wierzbicki, Michal Kedzierski

“…We also provide a curated list of publicly available datasets that can support the development of new solutions, along with a selection of qualitative metrics for the robust evaluation of image inpainting algorithms.…”
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Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey by Zhengxin Wang, Longlong Zhao, Jintao Meng, Yu Han, Xiaoli Li, Ruixia Jiang, Jinsong Chen, Hongzhong Li

“…In the past decade, with the continuous progress of artificial intelligence, algorithms based on deep learning have become one of the main methods for cloud detection. …”
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An Adaptive Optimization Method for Acoustic Temperature Measurement Topology Based on Multiple Sub-Objectives by Jialiang Zhu, Xinzhi Zhou, Hailin Wang, Yixiao Chen, Tao Xu, Zhengxi He

“…In this paper, based on the previous research on high-precision temperature field reconstruction algorithms, an adaptive optimization method of acoustic temperature measurement topology based on multiple sub-objectives is proposed. …”
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A Novel Dataset for Polyp Segmentation and Detection Using a Vision-Language Model by Mahdiyeh Alilou, Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi, Alireza Khafaf

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Features of training 3d computer modeling and visualization of future teachers of informatics by O. G. Rylova

“…The development of a methodical system of interdisciplinary education will ensure the formation of readiness to teach three-dimensional graphics at the stage of general secondary education and to realize its didactic possibilities in organizing educational and research activities of students.…”
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Bird Species Detection Net: Bird Species Detection Based on the Extraction of Local Details and Global Information Using a Dual-Feature Mixer by Chaoyang Li, Zhipeng He, Kai Lu, Chaoyang Fang

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