Multimodal personalization of transcranial direct current stimulation for modulation of sensorimotor integration by Jan-Ole Radecke, Alexander Kühn, Tim Erdbrügger, Yvonne Buschermöhle, Sogand Rashidi, Hannah Stöckler, Benjamin Sack, Stefan Borgwardt, Till R. Schneider, Joachim Gross, Carsten H. Wolters, Andreas Sprenger, Rebekka Lencer

“…Within neural networks subserving smooth pursuit, visual area V5 is a core hub where visual motion information is integrated with oculomotor control. Here, we applied personalized tDCS explicitly targeting individual V5 in healthy human participants using algorithmic optimization informed by functional magnetic resonance imaging and combined electro- and magnetoencephalography. …”
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A Data and Machine Learning-Based Approach for the Conversion of the Encounter Wave Frequency Spectrum to the Original Wave Spectrum by JeongYong Park, MooHyun Kim

“…The hyperparameters of the ANN model were subsequently tested and optimized. The results demonstrate that the ANN model can effectively predict the original wave spectrum with high accuracy, as evidenced by a favorable R2 value and error distribution analysis. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…Transitioning from state supply to multi-supply operation, involving nonprofit organizations and social enterprises could enhance efficiency and equity. Financial model innovation should integrate land value capture taxes, ecological asset securitization, and controlled commercial leasing, particularly for high-value urban core parks. …”
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Trajectory Tracking and Driving Torque Distribution Strategy for Four-Steering-Wheel Heavy-Duty Automated Guided Vehicles by Xia Li, Xiaojie Chen, Shengzhan Chen, Benxue Liu, Chengming Wang

“…Firstly, a three-degree-of-freedom AGV trajectory tracking model is established, tracking error and sideslip angle are incorporated into the cost function, and an improved model predictive trajectory tracking controller is proposed. …”
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From motion to meaning: understanding students’ seating preferences in libraries through PIR-enabled machine learning and explainable AI by Gizem Izmir Tunahan, Goksu Tuysuzoglu, Hector Altamirano

“…In contrast, features commonly presumed to be influential, such as desk width, fixed computer availability, or daylight alone, had minimal impact on seat choice. Despite extensive modeling and optimization, prediction accuracy plateaued at approximately 72%, reflecting the complexity and variability of human behavior in shared learning environments. …”
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Collaborative Speed Planning Algorithm with Centralized Decision-Making for Virtual Coupling of Autonomous-Rail Rapid Tram by HUANG Qiang, LI Cheng, TANG Xiang, YUAN Xiwen, HE Chuan, HUANG Zhikun

“…This paper addresses the challenges of control stability and synchronous start-stop operation at platforms during the variable-speed operation of tram groups, based on in-depth analyses focusing on the traction and braking characteristics, vehicle kinematics, and dynamics models of autonomous-rail rapid trams. …”
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Research on detection and location method of safflower filament picking points during the blooming period in unstructured environments by Bangbang Chen, Feng Ding, Baojian Ma, Qijun Yao, Shanping Ning

“…Firstly, the YOLO-SaFi model was employed to optimize the classification of a safflower filament dataset, identifying harvestable safflower filaments for further study. …”
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A study on the detection of conductor quantity in cable cores based on YOLO-cable by Xiaoguang Xu, Jiale Ding, Qi’an Ding, Qikai Wang, Yi Xun

“…In short, the proposed model excels in detecting the number of cable conductors, enhancing quality control in cable production. …”
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Exploring Boarding Strategies for High-Speed Railway by Tie-Qiao Tang, Yi-Xiao Shao, Liang Chen, Hai-Jun Huang, Ziqi Song

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Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery by Jinming Zhang, Jianli Ding, Jiao Tan, Jinjie Wang, Zihan Zhang, Zeyuan Wang, Xiangyu Ge

“…These methods are essential for optimizing irrigation techniques, controlling salinization, and promoting sustainable agriculture. …”
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Advancing Stability in Robot Manipulators: A Review of Recent Progress and Parameters by Shabnom Mustary, Mohammod Abul Kashem, Jannatul Mawya Sony, Nayem Hossain, Mohammad Asaduzzaman Chowdhury

“…ABSTRACT In this review, we present an overview of the current state‐of‐the‐art in robotics while emphasizing stability and control aspects with pragmatic consideration over robotic manipulators. …”
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Enhanced Dermal Delivery of Nanoparticulate Formulation of Cutibacterium acnes Using Sponge Spicules for Atopic Dermatitis Treatment by Jin Y, Zhang C, Jia M, Chen M

“…The skin penetration of the model drugs in NFCA with SHS were visualized using confocal microscopy. …”
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Prevalence, incidence, and risk factors for herpes zoster in systemic lupus erythematosus: a systematic review and meta-analysis by Hong-Fei Wang, Hong-Fei Wang, Yan Gao, Zheng Lin, Shan Liu, Yi Cao, Qiu-Shuang Li

“…Both observational studies (including cohort, case-control, and cross-sectional) and randomized controlled trials (RCTs) were included, with study types selected according to the specific objectives. …”
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Performance analysis of dual-fuel engines using acetylene and microalgae biodiesel: The role of fuel injection timing by M. Sonachalam, R. Jayaprakash, V. Manieniyan, P.S. Raghavendra Rao, G. Vinodhini, Manish Sharma, Teku Kalyani, Mahammadsalman Warimani, Hasan Sh Majdi, T.M. Yunus Khan, Abdul Saddique Shaik, Keerthi Shetty

“…This study underscores the potential of combining advanced biodiesel blends with optimized FIT strategies to improve engine efficiency and emissions control, offering a promising approach for sustainable dual-fuel engine operations.…”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…We included 399 retrospective patients in total: 199 for training and optimizing 24 model hyperparameters, and 200 for subsequent analyses of source prevalence and characteristics. …”
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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…The ability to optimally deal with large‐scale, realistic scenarios makes our approach an important contribution to the field of invasive species control.…”
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Real‐Time VCC Monitoring and Forecasting in HEK‐Cell‐Based rAAV Vector Production Using Capacitance Spectroscopy by Rafael Machleid, Suneetha Nunna, Ajith George, Jonas Austerjost, Magda Tomala, Izabella Surowiec

“…Subsequently, these models were deployed inline, and predictions were exposed into BioPAT MFCS bioprocess control software, enabling real‐time VCC monitoring in subsequent rAAV‐8 production batches. …”
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Lipophilic Resazurin in Bioelectrochemical Systems: Role in Regulating Carbon Metabolic Pathways by Siyu Tan, Xiao Zhu, Xinxin Wang, Huangsheng Su, Zongqiang Zhu, Xiaobo Luo, John R. Reinfelder, Yundang Wu, Fangbai Li

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Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community by Gairui Li, Gairui Li, Dan Zhao, Binfa Ouyang, Yinggang Chen, Yashuang Zhao

“…The Gut Microbiota Health Index (GMHI) and average variation degree (AVD) were employed to assess the health status of the different groups.ResultsOur findings revealed that the Nor group exhibited significantly higher GMHIs and the lowest AVD compared to the four Lesion groups. The model incorporating 13 bacterial genera demonstrated optimal efficacy in distinguishing CRC and Aade from Nor, with an area under the curve (AUC) of 0.81 and a 95% confidence interval (CI) of 0.72 to 0.89. …”
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Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM by Shuangshuang Xiao, Jin Liu, Yajie Ma, Yonggui Zhang

“…Initially, the random forest (RF) algorithm is employed to identify key features from the meteorological and dust concentration data collected on site, ultimately selecting five indicators—temperature, humidity, stripping amount, wind direction, and wind speed—as the input variables for the prediction model. Next, the data are split into a training set and a test set at a 7:3 ratio, and the genetic algorithm (GA) is applied to optimize the least squares support vector machine (LSSVM) model for predicting dust concentration in opencast mines. …”
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