Mechanical Design and Motion Analysis of a Hybrid Robot for Equine Rehabilitation by YE Zenglin, DAI Zhonghong, ZHANG Liang'an, WEI Liangguo, CHEN Hua

“…ObjectiveEquine therapy, also referred to as therapeutic riding or equine-assisted therapy, is a clinical methodology that promotes physical, psychological, and social functioning through the integration of horse handling and riding skills. …”
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Integration of single-cell RNA and bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer by Haiyang Du, Haiyang Du, Gao Si, Jiqing Si, Xuejie Song, Xuejie Song, Fuchun Si, Fuchun Si

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Simulation of colloidal slip with double friction force in automatic directional drilling by Shuhan SHI, Qingfeng WANG, Dezhong XIN, Hang CHEN, Jun WAN, Xiaochao CUI, Xing WANG

“…Two kinds of colloidal structures are proposed to realize the difference of friction between active drill pipe jointing and unjointing, and to ensure the smooth jointing of drill pipe. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…The algorithm uses the inverse kinematics model of the robot to convert the mechanism error that causes the low operation accuracy of the end-effector into the joint input error of the robot. It focuses on compensating the joint input error after transformation, reducing the parameters in the error compensation algorithm, greatly reducing the difficulty of solving the error correction objective function, and effectively avoiding the problem of error accumulation. …”
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PHYSICAL-MATEMATICALSCIENCE MECHANICS SIMULATION CHALLENGES IN OPTIMISING THEORETICAL METAL CUTTING TASKS by Rasul V. Guseynov, Lyudmila M. Sultanova

“…The minimal processing cost model, in which the objective function is polynomial, is adopted as a criterion for the selection of optimal parameters. …”
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Anisotropic flexible stress sensors based on Loofah/CN/MWCNTs by 刘璐, 贾晓丽, 黄书童, 张景龙, 李守宝, 柯燎亮

“…Flexible stress sensors are key components for realizing intelligent perception of robots and autonomous human-machine interaction. In view of the urgent need for high-performance flexible stress sensors with high sensitivity, wide range, and short response time in the field of human-machine interaction, a flexible stress sensor with conductive anisotropy is proposed, which is made of natural porous loofah as the matrix material and carbon nanoparticles/multi-walled carbon nanotubes (CN/MWCNTs) multidimensional composite materials as conductive coatings. …”
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Wavelet filterbank‐based EEG rhythm‐specific spatial features for covert speech classification by Sukanya Biswas, Rohit Sinha

“…Radial basis function kernel‐based support vector machines are used for covert speech classification. …”
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Silent Speech Eyewear Interface: Silent Speech Recognition Method Using Eyewear and an Ear-Mounted Microphone with Infrared Distance Sensors by Yuya Igarashi, Kyosuke Futami, Kazuya Murao

“…The proposed method measures facial skin movements associated with speech from the infrared distance sensor mounted on an eyewear device and recognizes silent speech commands by applying machine learning to time series sensor data. The proposed method was applied to a prototype system including a sensor device consisting of eyewear and ear-mounted microphones to measure the movements of the cheek, jaw joint, and jaw. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…The Operational Research Society of India (ORSI) Karnataka, the Department of Management Studies, IISc Bangalore, and the Analytics Society of India (ASI), DCAL, IIM Bangalore jointly organized this event. The joint event aimed to establish a premier platform for knowledge sharing among distinguished practitioners, academics, and researchers from industry and academia, focusing on the current applications of Operations Research (OR), Business Analytics (BA), and Business Intelligence (BI). …”
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Towards solving NLP tasks with optimal transport loss by Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria

“…Such functions play a vital role in machine learning algorithms as they steer the learning process. …”
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Chronic lung lesions in COVID-19 survivors: predictive clinical model by Paulo A Lotufo, Juliana C Ferreira, Eloisa Bonfa, Anna S Levin, Rodrigo Caruso Chate, Marta Imamura, Esper G Kallas, Roger Chammas, Thais Mauad, Izabel Marcilio, Nelson Gouveia, Ricardo Nitrini, José Eduardo Krieger, Marcio Valente Yamada Sawamura, Michelle Louvaes Garcia, Cristiano Gomes, Guilherme Fonseca, Jorge Hallak, Luis Yu, Marcio Mancini, Maria Elizabeth Rossi, Thiago Avelino-Silva, Edivaldo M Utiyama, Aluisio C Segurado, Beatriz Perondi, Anna Miethke-Morais, Amanda C Montal, Leila Harima, Marjorie F Silva, Marcelo C Rocha, Maria Amélia de Jesus, Carolina Carmo, Clarice Tanaka, Julio F M Marchini, Thaís Guimarães, Ester Sabino, Carlos Roberto Ribeiro Carvalho, Celina Almeida Lamas, Diego Armando Cardona Cardenas, Daniel Mario Lima, Paula Gobi Scudeller, João Marcos Salge, Cesar Higa Nomura, Marco Antonio Gutierrez, Adriana L Araújo, Bruno F Guedes, Carolina S Lázari, Cassiano C Antonio, Claudia C Leite, Emmanuel A Burdmann, Euripedes C Miguel, Fabio R Pinna, Fabiane Y O Kawano, Geraldo F Busatto, Giovanni G Cerri, Heraldo P Souza, Izabel C Rios, Larissa S Oliveira, Linamara R Batisttella, Luiz Henrique M Castro, Marcello M C Magri, Maria Cassia J M Corrêa, Maria Cristina P B Francisco, Maura S Oliveira, Orestes V Forlenza, Ricardo F Bento, Rodolfo F Damiano, Rossana P Francisco, Solange R G Fusco, Tarcisio E P Barros-Filho, Wilson J Filho

“…Almost half of them (48%) had significant pulmonary abnormalities, including ground-glass opacities, parenchymal bands, reticulation, traction bronchiectasis and architectural distortion. The machine learning model, including the results of 257 patients with complete data on mMRC, SpO2, FVC, CXR and CT, accurately detected pulmonary lesions by the joint data of CXR, mMRC scale, SpO2 and FVC (sensitivity, 0.85±0.08; specificity, 0.70±0.06; F1-score, 0.79±0.06 and area under the curve, 0.80±0.07).Conclusion A predictive clinical model based on CXR, mMRC, oximetry and spirometry data can accurately screen patients with lung lesions after SARS-CoV-2 infection. …”
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Results of a clinical trial of humeral neck osteosynthesis with carbon – carbon composite material by M. L. Golovakha, V. V. Chornyi

“…The analysis of long-term treatment outcomes for proximal humerus fractures, utilizing both carbon-carbon composite material plates and titanium plates, by the Constant–Murley scale and the Quick DASH questionnaire, demonstrated statistically confirmed improvements in shoulder joint function for both treatment methods.…”
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Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording by Shengjie Yang, Jiaqi Xue, Ziqi Li, Shiqing Zhang, Zhang Zhang, Zhifeng Huang, Ken Kin Lam Yung, King Wai Chiu Lai

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Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Three machine learning regression models (Support Vector Machine Regression (SVR), Random Forest (RF), and BP Neural Network (BPNN)) were employed to construct predictive models for nine photosynthetic indices across multiple growth stages. …”
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Transthoracic Echocardiography findings in patients with Ankylosing Spondylitis in Kurdistan region by Elaf Kamal Abdulwahab, Dashty Abbas Albustany

“… Background and objectives: Ankylosing spondylitis is a chronic inflammatory disorder that affecting axial and non-axial joints leads to a loss of mobility and function over time. …”
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Fitness landscape of a dynamic RNA structure. by Valerie W C Soo, Jacob B Swadling, Andre J Faure, Tobias Warnecke

“…We reasoned that deep mutational scanning experiments, which couple molecular function to fitness, should capture mutational effects across multiple conformational states simultaneously. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…The proposed framework outperformed existing EGM-based rotor detection methods, demonstrating superior functionality and performance compared to existing EGM-based rotor detection methods. …”
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The effect of suspension parameters on the properties of the coating obtained by the slip method by V. M. Samoylenko, G. T. Paschenko, E. V. Samoylenko, V. V. Shestakov

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A Comprehensive Review on ISAC for 6G: Enabling Technologies, Security, and AI/ML Perspectives by Sultan Aldirmaz-Colak, Mustafa Namdar, Arif Basgumus, Serdar Ozyurt, Selman Kulac, Nurullah Calik, Mehmet Akif Yazici, Ahmet Serbes, Lutfiye Durak-Ata

“…We explore the roles of innovative functions in enabling ISAC, including joint waveform design, edge computing, vehicular sensing and communications, and their practical applications. …”
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Univariate deep learning framework for short-term SST forecasting at high spatio-temporal scales by Jagdish Prajapati, Balaji Baduru, Athul C R, Biswamoy Paul, Vinod Daiya, Arya Paul

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