Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

“…A Hybrid CNN–Transformer model was employed for feature fusion, and feature selection and hyperparameter tuning were optimized using Gray Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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DEVELOPMENT OF A TECHNIQUE FOR THE MASS-SPECTROMETRIC DETERMINATION OF GONADOTROPIN-RELEASING HORMONE AND ITS ANALOGS FOR DOPING CONTROL by K. M. Shestakova, G. A. Dudko, M. A. Dikunets

“…Various parameters affecting sample preparation, LC separation, and MS/MS detection were investigated, and optimized conditions were identified. The UPLC-MS/MS system was equipped with an electrospray ion source operating in positive ion mode with selected reaction monitoring. …”
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Beyond single company climate risk disclosure: event-based physical risk reporting by Victor Wattin Håkansson, Simona Meiler, Sarah Hülsen, Leonie Villiger, Mathilde Bossut, Jamie W McCaughey, Chahan M Kropf, David N Bresch

“…We propose a transparent, replicable, open-source methodology using event-loss tables to present per-event impact data. …”
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Carbon emission quantification analysis of excavation engineering under road transport conditions. by Bai Chongxi, Zhiheng Zhang

“…Based on the life cycle method and process analysis, this study analyzes carbon emissions in excavation engineering by optimizing the evaluation model for fuel consumption standards of freight vehicles during the transportation phase in China. …”
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Stability of feature selection algorithm: A review by Utkarsh Mahadeo Khaire, R. Dhanalakshmi

“…The high correlation in features frequently produces multiple equally optimal signatures, which makes traditional feature selection method unstable and thus leading to instability which reduces the confidence of selected features. …”
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Economic vs. ecological benefit for organic food: the role of perceived values in online consumer reviews by Hong Huo, Hong Huo, Junru Yao, Junru Yao, Qiutong Li, Qiutong Li, Rong Wu, Rong Wu, Chen Wang, Chen Wang, Dingyao Yu, Dingyao Yu

“…Online reviews, as an important source of data for capturing consumers’ perceived value, especially the temporal information of reviews, provide new opportunities for revealing the dynamic impact of consumers’ perceived value on satisfaction.MethodsBased on 63,674 online reviews, this study utilizes structural topic modeling to identify the specific dimensions of consumers’ perceptions of economic and ecological values of organic food, and incorporates multiple linear regression modeling to explore the specific effects of these perceived values on consumer satisfaction and their dynamic trends.ResultsThe results of the study indicate that consumers’ perceptions of both economic and ecological values significantly enhance their satisfaction with organic food. …”
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An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery—A case study from Nanjing, Eastern China by Min Sun, Stephane G.P. Debulois, Zhengnan Zhang, Xiaolei Cui, Zhili Chen, Mingshi Li

“…We compared deep learning (DL)-based shadow detection methods with classical index methods in urban green spaces to identify shaded vegetation areas, with the optimal method being selected for subsequent use. …”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…Methods The underlying data structure of this platform was constructed using a relational database, fully leveraging the automated data acquisition process and remote control technology of key equipment. …”
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The Attitudes Toward Polypharmacy and Willingness to Deprescribe Among Patients with Multimorbidity in Rural Areas of Shandong Province in China: A Cross-Sectional Study by Liu X, Zhao Y, Da T, Zhang S, Wang H, Li H

“…This study aims to capture the attitude of patients with multimorbidity towards deprescribing in rural China and to ascertain whether individual characteristics were linked to these attitudes.Patient and Methods: A cross-sectional study employing the validated Patients’ Attitudes Towards Deprescribing (PATD) questionnaire was performed in rural regions of Eastern China. …”
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Analysis of Temperature Characteristics of Electrolytic-Plasma Discharge in Jet Processing of a Metal Anode by A. I. Popov, V. I. Novikov, D. N. Ivanov, I. A. Kozyrskiy

“…The lack of comprehensive studies of the temperature characteristics of jet EPD limits the optimization of processes. The research objective is to determine the distribution of temperatures and heat flows in the system “jet electrolytic cathode — metal anode” under various processing conditions.Materials and Methods. …”
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Medical and Social Peculiarities of the Health Condition of Pupils of Lviv and Lviv Region by Nyankovskyy S., Iatsula M., Senkevich O., Pasichnuk I., Kulik I.

“…The results of numerous studies show that the source of the differences in adult health should be sought in their childhood. …”
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Research on Equivalent Circuit Model of Flat Linear Induction Electromagnetic Pump Considering End Effect by BAI Yifan1, YAN Xin2, BI Keming2, YANG Chunwei1, DING Ming1

“…Flat linear induction electromagnetic pump (FLIP) is distinguished by their high reliability and longevity, rendering them one of the optimal choices for the coolant pumping of liquid metal-cooled space nuclear power sources. …”

Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…To address data scarcity issues, we introduce transfer learning, selecting the best-performing model on the target task as the source model to avoid negative transfer effects. Ultimately, the experimental results show that our proposed method achieves the best forecasting performance in the datasets in five different regions. …”
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Newton Type Iteration for Tikhonov Regularization of Nonlinear Ill-Posed Problems in Hilbert Scales by Monnanda Erappa Shobha, Santhosh George

“…The error estimates obtained under a general source condition on x0-x^ (x0 is the initial guess and x^ is the actual solution), using the adaptive scheme proposed by Pereverzev and Schock (2005), are of optimal order. …”
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Microwave-Assisted Valorization of Tomato Pomace for Pectin Recovery: Improving Yields and Environmental Footprint by Nikolina Golub, Emerik Galić, Kristina Radić, Nada Smigic, Ilija Djekić, Sandra Pedisić, Dubravka Vitali Čepo

“…The response surface methodology was used to model the optimization process. The physico-chemical properties of pectin were determined using titrimetric methods and FTIR spectroscopy. …”
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Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network by Yilin He, Heng Li, Miaosen Zhang, Shuangqi Liu, Chunyu Zhu, Bingxia Xin, Jun Wang, Qiong Wu

“…Fusion that aims to emphasize spatial–spectral heterogeneous characteristics may significantly enhance the robustness of joint representation for multi-source data. To address these issues, this study proposes a hyperspectral and multispectral remote sensing image fusion method based on a retractable spatial–spectral transformer network (RSST) and introduces the attention retractable mechanism into the field of remote sensing image fusion. …”
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Random Dissemination Algorithm of Stete-Updating Message for Distributed Virtual Environments of P2P Architecture by Tao Li, Hua Hu, Haiyang Hu

“…By considering the limited network bandwidth and communication delay, which may affect the users' sensing of the real-life experience and the real-time interaction for the participants, the method was given based on the pre-established random geometric graph to distribute the state-updating messages. …”
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Comparative analysis of NTRUEncrypt modified post-quantum cryptographic system and standard RSA cryptosystem by P. V. Razumov, I. A. Smirnov, I. A. Pilipenko, A. V. Selyova, L. V. Cherkesova

“…In addition, the internal memory usage is optimized through reducing the weight of the source program file and the size of the secret key. …”
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