Miniinvasive technologies in surgery of gallstone disease complicated by mechanical jaundice by A.S. Nikonenko, N.G. Golovko, V.А. Grushka, А.V. Klimenko, E.І. Gaidarzhi, D.А. Detsyk, I.V. Rusanov, G.І. Ohrimenko, Т.S. Gavrilenko, S.О. Matveyev

“…Materials and research methods. The results of laparoscopic cholecystectomy in 3054 patients with gallstone disease and its complications are analyzed. …”
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Identification of Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Validation Using Radiometric Calibration Network (RadCalNet) by Juliana Fajardo Rueda, Larry Leigh, Cibele Teixeira Pinto

“…This study introduces a global land cover clustering using an unsupervised algorithm, incorporating the novel step of filtering data to retain only temporally stable pixels before applying K-means clustering. …”
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Multiple analytical perspectives of mitochondrial genes in the context of preeclampsia: potential diagnostic markers by Can Li, Can Li, Fang Liu, Chao Li, Xiangzhong Zhao, Qiulan Lv, Aiping Jiang, Shuping Zhao

“…Given the pivotal roles of mitochondria in various human diseases and the limited research on their involvement in PE, this study identified biomarkers linked to mitochondrial metabolism in PE and their roles in its pathogenesis. …”
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Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…Subsequent research on intelligent detection of uranium microparticle tracks can be expanded based on this technology.…”
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mineMS2: annotation of spectral libraries with exact fragmentation patterns by Alexis Delabrière, Coline Gianfrotta, Sylvain Dechaumet, Annelaure Damont, Thaïs Hautbergue, Pierrick Roger, Emilien L. Jamin, Olivier Puel, Christophe Junot, François Fenaille, Etienne A. Thévenot

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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…The research team developed a three-dimensional geological model updating algorithm with depth gradient as the characteristic parameter, enabling dynamic monitoring of mining depth with a model iteration accuracy of 0.5 m per update. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…This research presents a data-driven structural health monitoring (SHM) approach for pipeline systems that leverages frequency response function (FRF) signals and artificial neural network (ANN) algorithms to accurately identify and classify diverse pipeline fault conditions. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…ABSTRACT The analysis and modeling of asymmetric data present an interesting and important area of research across various applied sciences, particularly in lifetime studies, medical research, and financial analysis. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…Furthermore, this survey identifies persistent challenges including clinical translation barriers, algorithm performance trade-offs, and feature extraction/selection limitations. …”
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Machine learning integration in thermodynamics: Predicting CO2 mixture saturation properties for sustainable refrigeration applications by Carlos G. Albà, Ismail I.I. Alkhatib, Lourdes F. Vega, Fèlix Llovell

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Exploring phonon mediated superconductivity of $$\hbox {LiB}_{{2}} \hbox {N}_{{2}}$$ and $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ under high pressure insight from first-principles cal... by Prutthipong Tsuppayakorn-aek, Thiti Bovornratanaraks, Komsilp Kotmool

“…In this study, we examine $$\hbox {LiB}_{{2}} \hbox {N}_{{2}}$$ and $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ , materials identified through an evolutionary algorithm, which exhibit thermodynamic stability up to at least 100 GPa. …”
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Coal mining equipment lifecycle management system architecture and key technology by Yihui PANG, Jinglong BI, Pengzhe YUAN, Baofu ZHAO, Ziwei DING

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Miniinvasive paracentetic drain surgical interventions under ultrasonic control concerning liquid formations of abdominal cavity by G.I. Ohrimenko, N.G. Golovko, V.A. Grushka, Y.I. Gaidarzhi

“…Actuality of problem is conditioned by that indications to the use of paracentetic drain surgical interventions, most optimal methods of preoperative diagnostic, features of postoperative treatment of patients remain not enough studied. Research aim. To study the results of diagnostics and treatment of patients with liquid formations of abdominal cavity that were exposed to miniinvasive surgical interventions under ultrasonic control and, on the basis of it, to work out an optimal curative diagnostic algorithm. …”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

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Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting by Andrey K. Gorshenin, Anton L. Vilyaev

“…These components are formed using probability mixture models and a special algorithm for merging parameters in the sliding window mode. …”
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A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus by Csaba Dávid, Kristóf Giber, Katalin Kerti-Szigeti, Mihály Köllő, Zoltan Nusser, Laszlo Acsady

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PROJECT METHOD IN STEM EDUCATION USING ARDUINO SOFTWARE AND HARDWARE PLATFORM by Олексій Воронкін, Сергій Лущин

“…A typical algorithm for familiarizing yourself with the operation of the Arduino board is formulated. …”
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Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic... by Carina King, Tobias Alfvén, Helena Hildenwall, Mala Ali Mapatano, Joël Kiniati Fumwakwau, Mattias Schedwin, Mireille Amba Ngale, Delphin Mavinga Phanzu

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Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

“…Purpose of the research. The research of influence of the system of professional education on parameters of development of digital economy in Russian Federation regions can be conducted in different directions: identification of the professional education system status as the institute, providing the digital economy of the region with human resources; to identify the needs of the separate industries of economy for the specialists, having the corresponding competences for the work in the field of the digital economy. …”
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A Two-Stage Offline-to-Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical/ Environmental Scheduling Problem by Qing An, Jun Zhang, Xin Li, Xiaobing Mao, Yulong Feng, Xiao Li, Xiaodi Zhang, Ruoli Tang, Hongfeng Su

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