Respiratory and Rehabilitation Expert Consensus on Full-Cycle Rehabilitation Assessment and Treatment for Elderly Patients with Chronic Obstructive Pulmonary Disease by CHEN Xin, JIA Jie, DING Yipeng, YE Xujun, DONG Anqin, HE Jing, LIAO Weijing, ZHENG Jiejiao, YU Binbin, CHEN Zuobing, FANG Yuan, YAO Liqing, ZHU Yiping, FU Jianghong, WANG Siyuan, ZHANG Yangxian

“…This expert consensus identifies common functional impairments of elderly patients with COPD, including respiratory dysfunction, exercise tolerance impairment, psychological issues, swallowing dysfunction and cognitive impairment. …”
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Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation by Bounour Imane, Ammour Alae, Khaissidi Ghizlane, Mostafa Mrabti

“…To address the issue of imbalanced data in the IFN/ENIT dataset, an adaptive data augmentation algorithm is proposed, focusing on underrepresented characters and words. …”
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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning by Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

“…The forest-based classification and regression model (FCR) was applied to predict mortality rates. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…In the second step, the unique feature of the random forest algorithm was leveraged to rank the importance of each working capital component in achieving this 85% classification accuracy. The findings showed that the Average Collection Period (ACP) was significantly more important than the other working capital components in predicting financial distress.Keywords: Financial Distress, Working Capital Management, Average Collection Period (ACP), Random Forest AlgorithmJEL Classification: G01, G30, C38 IntroductionIn recent years, financial distress and bankruptcy have become increasingly prevalent issues for business enterprises. …”
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Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation by Yousheng Xu, Weiji Wang, Wei Yao, Shengzhou Xu

“…Unsupervised domain adaptation (UDA) is an effective method for addressing the domain shift issue between the source and target domains in high-resolution remote sensing images classification. …”
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Deep Multi-Component Neural Network Architecture by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

“…The architecture’s efficiency is further demonstrated by its reduced trainable parameters and robust handling of multimodal and variable-length inputs, making it a versatile solution for classification tasks.…”
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AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection by Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed

“…The first model, based on MobileNetV2, performs binary classification to detect the presence of plants in images. …”
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Application of artificial intelligence for commodity identification for customs purposes by Galina Yu. Fedotova, Anna Yu. Komelova

“…International trade is not an exception for the introduction of innovations. The key issue of inter-country movement is the commodity identification for customs purposes. …”
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Clinicopathological study of 100 cases of neuroendocrine neoplasms of the gastroenteropancreatic system: A tertiary cancer center experience by Satarupa Tarak Nath Samanta, Shailee Paresh Bhai Mehta, Trupti S Patel, Dhaval H Jetly

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METHODOLOGY OF INTEGRATED ACCOUNTING AND CONTROL by TATYANA Serebryakova

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Investigation and application of data balancing and combined discriminant model in rock burst severity prediction by Shaohong Yan, Runze Liu, Yanbo Zhang, Xulong Yao, Yueqi Yang, Qi Wang, Bin Guo, Shuai Wang

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Using machine learning to study the population life quality: methodological aspects by E. V. Shchekotin, В. Л. Гойко, P. A. Basina, B. B. Bakulin

“…Machine learning as a classification tool of social network users’ digital traces makes it possible to create a base to calculate subjective life quality index. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“…Determining the optimal model for classification remains a time-consuming nondeterministic polynomial-time hard issue. …”
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The New Regulation of the Minister of Finance on Financial Instruments - an Overview of Selected Changes by Anna Biśta

“… The review article is dedicated to the issues of financial instruments in the context of the new regulation of the Minister of Finance on the recognition and valuation methods, as well as the disclosure and presentation of financial instruments. …”
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Russian Spatial Development Strategy: blind spots in regional specialisations by N. S. Kozyr

“…The state “Russian Spatial Development Strategy for the period up to 2025” has not only aroused interest in the scientific community, but has also been the object of criticism on the issues of  consistency of the prospective economic specialisations of the constituent entities of the Russian Federation to spatial development objectives. …”
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Ahmed b. İsâ b. Zeyd ve Emâlî Adlı Hadis Eseri Üzerine Bir İnceleme by Mustafa Tanrıverdi

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Teaching Russian students to analyze the syntactic structure of sentences in modern Chinese (Mandarin) by Arseniy V. Skvortsov, Oksana A. Malykh

“…The paper deals with methodological issues of teaching senior students of language universities to analyze the syntactic structure of sentences in modern Chinese at the phrase level. …”
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Designing a Theoretical Framework for Ecosystem Products of Agricultural Heritage Systems by Ruyu Ye, Moucheng Liu, Zhidong Li

“…The protection and sustainable utilization of AHS has become a critical issue for promoting the sustainable development of heritage regions. …”
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Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach by Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud

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Methodological basis for the development of municipal entity strategy by V. I. Zarubin, S. V. Gorbanev

“…Despite a significant number of scientific studies devoted to the problems of strategizing municipalities, the issues of instrumental and methodological support of the strategic planning process remain insufficiently developed. …”
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