Patient satisfaction of a city multi-disciplinary hospital with medical care by S. A. Suslin, A. V. Vavilov, R. I. Ginnyatulina

“…Patients are more satisfied with the relationship with the average medical personnel (75.9%) than with the doctors (63.5%). …”
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Adaptation potential of medical students in distance learning by O. V. Toussova, O. V. Pavlova

“…Distance learning students had an average level of adaptive potential. Students with a higher adaptive potential in dealing with stress significantly more often (p≤0.01) use the strategies of problem solving planning and positive reassessment, while students with a lower adaptive potential significantly more often (p≤0.05) in a stress situation use «accepting responsibility» and «escape-avoidance» copings.Conclusions. …”
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COMBINATION OF GIVING BABY MASSAGE WITH CITRONELLA OIL FOR APPETITE DISORDERS IN TODDLERS AGED 12-24 MONTHS by Putu Ayu Eka Sumariati, Luh Putu Widiastini, Ni Putu Yunita Sri Lestari, Ni Made Egar Adhiestiani

“…Pharmacological or non-pharmacological methods have been developed to overcome this problem. As non-pharmacological method, researchers attempted to solve the problem by using a combination of baby massage and citronella oil. …”
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Efficiency Improvement and Application of the Groundwater Heat Pump Cooling System in Linglong Gold Mine by Chunlong Wang, Li Cheng, Yingjie Hao, Mingwei Jiang, Kexu Chen, Kun Shao

“…Local cooling technology can effectively mitigate the problem of heat hazard prior to the formation of the return air system. …”
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A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study by Kostas Siozios

“…Rather than solving the problem in a centralized manner, the proposed orchestrator relies on a distributed game theory to determine optimal bids. …”
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Pengaruh media pembelajaran Puzzle terhadap Matematika by Fitri Novita Sari Sirait, Muktar B. Panjaitan, Emelda Thesalonika

“…Abstract The problem in this study is that student learning outcomes are still less than optimal. …”
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Frequency of office blood pressure measurements and the seasonal variability of blood pressure: results of the Hungarian Hypertension Registry by János Nemcsik, Johanna Takács, Dorottya Pásztor, Csaba Farsang, Attila Simon, Dénes Páll, Péter Torzsa, Szilveszter Dolgos, Akos Koller, Norbert Habony, Zoltán Járai

“…Purpose Hypertension is a major public health problem, thus, its timely and appropriate diagnosis and management are crucial for reducing cardiovascular morbidity and mortality. …”
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Research on 2F Optical Correlator Based on Neural Network Filter for Recognizing Large-Angle Rotation Distortion Target by Tuo Yang, Minxin Chen, Yufei Xiao, Haidong Xu, Ping Xu

“…It is difficult for optical correlator to recognize the target with large rotation distortion by using existing filters. To solve this problem, a new neural network model is constructed based on the physical recognition process of planar integrated 2F optical correlator. …”
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Two-branch Shape Complement Network for Feature Missing Splicing Mode by SUNJin, MAHaotian, LEIZhenting, LIANGLi

“…Aiming at the problem of low fidelity of reverse geometric reconstruction of bowl-shaped cultural relics model due to the missing fragments , a 3D point cloud shape completion network based on double discrimination decoder is proposed. …”
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Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment by Rui Liu, Yuanyuan Jia, Xiangqian He, Zhe Li, Jinhua Cai, Hao Li, Xiao Yang

“…We considered the hand segmentation task as a classification problem. The optimal segmentation threshold for each image was regarded as the prediction target. …”
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Thermal-aware resource allocation in earliest deadline first using fluid scheduling by Muhammad Naeem Shehzad, Qaisar Bashir, Ghufran Ahmad, Adeel Anjum, Muhammad Naeem Awais, Umar Manzoor, Zeeshan Azmat Shaikh, Muhammad A Balubaid, Tanzila Saba

“…Although, the algorithm is proposed for uni-processor environment, it is also applicable to partitioned scheduling in multi-processor environment, which primarily converts the multi-processor scheduling problem to a set of uni-processor scheduling problem and thereafter uses a uni-processor scheduling technique for scheduling. …”
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Research on Recommendation Model Based on Multi-round Dialogue of Large Language Model by CHANG Baofa, CHE Chao, LIANG Yan

“…Experiments results on Amazon’s three benchmark datasets, such as Instructions, Arts and Games, show that the model is better than the comparison baseline algorithm in the two evaluation indices of hit rate (HR) and normalized discounted cumulative gain (NDCG). Compared with the optimal comparison baseline algorithm on the three datasets, the average increase in HR is 10.53% and the average increase in NDCG is 5.10%, which proves the effectiveness of the model.…”
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ULTRASOUND STUDY OF PATIENTS WITH KELOID SCARS OF THE MAXILLOFACIAL AREA by D. S. Avetikov, O. P. Bukhanchenko, V. V. Aipert, K. P. Lokes

“…Despite the possibility of modern surgery and dermatological cosmetology, the problem of differential diagnosis of patients with keloid scars remains relevant and significant at present. …”
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Epidemiological profile of 0–18-year-old child victims of burns treated at the Plastic Surgery and Burns Service of a University Hospital in Sou... by Marcelus Vinicius de Araújo Santos Nigro, Sara Merlin Maschietto, Renata Damin, Carolina Scapim Costa, Giovana Landal de Almeida Lobo

“…Introduction: Injuries caused by burns represent a significant public health problem, constituting the fourth leading cause of childhood death in Brazil and the United States. …”
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ANALYSIS OF RAINFALL IN INDONESIA USING A TIME SERIES-BASED CLUSTERING APPROACH by A'yunin Sofro, Rosalina Agista Riani, Khusnia Nurul Khikmah, Riska Wahyu Romadhonia, Danang Ariyanto

“…The cluster analysis results show that the dynamic time warping (DTW) distance measurement method with the average linkage method has the most optimal cluster results with a silhouette coefficient value of 0.813.…”
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Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias by Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan

“…Moreover, this model combines semiparametric techniques with optimized self-attention neural networks and is applied to predict SCB for BDS-3. …”
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General practitioners’ attitude and performance about the diagnosis and treatment of depressive disorder by Asadolah Mosavi, Mandana Shirazi, Roghayeh Gandomkar, Hafez Mohamadhoseinpour, Rita Mojtahed Zadeh, Ardashir Afrasiabifar

“…The collected data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 software using descriptive and inferential statistics. Results: The average score of the overall attitude of the participants was 77.09 ± 21.03 and the average score in three domains, including professional trust in depression care, optimism in depression treatment, and public opinion about the occurrence of depression, its identification, and its management were 22.31 ± 6.47, 36.54 ± 9.51, and 19.05 ± 5.05, respectively. …”
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Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

“…This paper considers the single-machine scheduling problem of total tardiness minimization. Due to its computational intractability, exact approaches such as dynamic programming algorithms and branch-and-bound algorithms struggle to produce optimal solutions for large-scale instances in a reasonable time. …”
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Research on online inspection of pantograph and catenary based on deep learning by ZHOU Zhaoan, LI Shuzhi

“…The mAP of inspection target before and after optimization was 0.950 and 0.961 (with the IOU threshold of 0.5) respectively. …”
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Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models by Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok

“…The solution to the problem of insufficient accuracy in determining the position and speed of human movement during interaction with a treadmill-based training complex is considered. …”
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