UNVEILING FINANCIAL CRISIS DRIVERS AND PROPOSING A SUSTAINABILITY MODEL IN THE HOTEL INDUSTRY by FATEMEH DEKAMINI, ABBAS DASTANPOUR HOSSEIN ABADI, SHIMA SAFAR MOHAMMADLUO, REZVAN POURMANSOURI, RAMONA BIRAU, ROBERT DORIN FILIP, STEFAN MARGARITESCU

“…Variability among variables highlights the complexity of these relationships.This research addresses the lack of a comprehensive classification system for financial crisis management in the hotel industry. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…The dataset expanded with the generated data achieves high classification accuracy, effectively mitigating the issue of dataset imbalance. …”
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Risk management in biobanking by A. L. Borisova, M. S. Pokrovskaya, A. N. Meshkov, A. V. Kontsevaya, O. M. Drapkina

“…The article presents the biobanking risk classification with the description of each category.Aim. …”
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Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference by Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu

“…Abstract Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular inference. …”
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BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge by Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli

“…In downstream disease and tissue classification tasks, our synthetic data improves prediction performance by an average of 5.7%. …”
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Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity by Jiashan Li, Xinqi Gong

“…Additionally, the model achieves over 95% in classification ROC for binding site identification, underscoring its high accuracy in pinpointing protein-ligand interaction regions. …”
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Study on Comprehensive Benefit Evaluation of Rural Houses with an Additional Sunroom in Cold Areas—A Case Study of Hebei Province, China by Xinyu Zhu, Tiantian Duan, Yang Yang, Chaohong Wang

“…To address the issues of poor thermal performance and high energy consumption in rural dwellings in cold regions of China, this study investigates multi-type energy-efficient retrofitting strategies for rural houses in the Hebei–Tianjin region. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…The decoder introduces task-specific query decoupling for classification and localization, combined with an Enhanced Multi-scale Attention (EMSA) mechanism that dynamically aggregates contextual information from multiple receptive fields. …”
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Application of the Gait Kinematics Index in Patients with Cerebral Palsy by Katarzyna Jochymczyk-Woźniak, Karolina Wawak, Robert Michnik, Katarzyna Nowakowska-Lipiec

“…Due to the complexity of the medical issues connected with cerebral palsy (CP), the classification of gait pathologies seems rather difficult. …”
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Esports between the Sports and Entertainment Industry: In Search of Division Lines by Gábriš Tomáš, Hamuľák Ondrej, Kocharyan Hovsep, Ramil Pablo Martínez

“…The growing popularity and expansion of esports have prompted an academic and legal debate, where its classification as either a sport or a form of entertainment remains unclear. …”
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Fault Diagnosis Method for Shearer Arm Gear Based on Improved S-Transform and Depthwise Separable Convolution by Haiyang Wu, Hui Zhou, Chang Liu, Gang Cheng, Yusong Pang

“…Moreover, the proposed method achieves high classification accuracy while reducing both training time and the number of model parameters.…”
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Rehabilitation and Respiratory Expert Consensus on Full-Cycle Rehabilitation Assessment and Treatment for Older Adults with Lung Cancer by JIA Jie, CHEN Xin, HE Jing, DONG Anqin, DING Yipeng, LIAO Weijing, ZHENG Jiejiao, YU Binbin, CHEN Zuobing, FANG Yuan, YAO Liqing, ZHU Yiping, ZHU Jie, QIAN Jiayu

“…Functional impairments encompass multiple aspects, including pulmonary function, cardiac function, exercise capacity, pain, mental and psychological issues, cognition, speech, swallowing, sensory functions, and bowel and bladder dysfunctions. …”
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2 by Fazhe Wu, Peng Lu, Shengbo Chen, Yucheng Xu, Zibo Wang, Rui Dai, Shuya Zhang

“…Currently, the Normalized Difference Yellow Index (NDYI), widely used for monitoring these dates, faces stability and accuracy issues due to atmospheric interference and limited optical data during the flowering period. …”
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Innovations of Contemporary Artificial Intelligence: Value-Based Approach by R. I. Mamina, A. V. Ilina

“…Contemporary AI is analyzed today from the standpoint of various classifications, the central place is occupied by the classification based on the comparison of human intelligence and AI. …”
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National Treatment at Investment at Different Levels of Public Administration: Considerations for Policy Makers by Elena Vasilyevna Zhiryaeva, Kalotay Kalman

“…The purpose is to analyse measures of national and subnational authorities affecting the application of the principle of NT vis-à-vis the foreign investor, which allows to recommend certain approaches to investment policy making at the subnational level. The following issues are discussed in the article: concepts of foreign investors and foreign investment in the Russian Federation; NT in bilateral investment agreements; NT of investment in the context of the WTO agreements; a framework for the description of NT at the subnational level; classification of exceptions from NT; exceptions from NT according to GATS obligations; NT at the subnational level. …”
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From “Mental/Psychological Disorder” and/or “Individual Pattern of Adaptation” Toward “Developmental Trajectories During the Lifespan” by Donatella R. Petretto, Alessandro Mura, Mattia Vacca, Gian Pietro Carrogu, Luca Gaviano, Riccardo Atzori, Carmelo Masala

“…We discuss some differences between the two paths, some points of contact between them, and some critical issues. Moreover, we will briefly discuss a third integrative path that may integrate the first two. …”
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Nanoscale Therapeutic System: Safety Assessment Features by E. M. Bovina, B. K. Romanov, A. S. Kazakov, N. Yu. Velts, E. O. Zhuravleva, T. M. Bukatina, R. N. Alyautdin, V. A. Merkulov

“…The paper presents the classification of the most promising nanosystems containing drugs, and an analysis of the existing principles for assessing their safety in Russia and abroad has been carried out. …”
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Defect Identification and Diagnosis for Distribution Network Electrical Equipment Based on Fused Image and Voiceprint Joint Perception by An Chen, Junle Liu, Silin Liu, Jinchao Fan, Bin Liao

“…Baseline 1 is a long short term memory (LSTM)-based algorithm that performs separate feature extraction and processing for image and voiceprint signals without coupling the features of the two modalities, and Baseline 2 is a traditional CNN algorithm that uses classical convolutional layers for feature learning and classification through pooling and fully connected layers. …”
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Telemedicine in China: Effective indicators of telemedicine platforms for promoting health and well-being among healthcare consumers by Xiaogang Jin, Youwei Yuan, Chaoqi Chang, Xianqing Wu, Xu Tan, Zhengqing Liu

“…Objective Telemedicine platforms played a crucial role during the COVID-19 pandemic, alleviating issues related to the shortage and unequal distribution of healthcare resources. …”
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