Does neural computation feel like something? by Albert Gidon, Jaan Aru, Matthew E. Larkum, Matthew E. Larkum

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Zipf's Law for cities: estimation of regression function parameters based on the weight of American urban areas and Polish towns by Sokołowski Dariusz, Jażdżewska Iwona

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An Implementation of Creep Test Assisting System with Dial Gauge Needle Reading and Smart Lighting Function for Laboratory Automation by Dezheng Kong, Nobuo Funabiki, Shihao Fang, Noprianto, Mitsuhiro Okayasu, Pradini Puspitaningayu

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The use of brain-machine interface, motor imagery, and action observation in the rehabilitation of individuals with Parkinson's disease: A protocol study for a randomized clinical... by Kátine Marchezan Estivalet, Tatiana Salayaran de Aguiar Pettenuzzo, Natália Lopes Mazzilli, Luis Fernando Ferreira, Fernanda Cechetti

“…Each participant will be assessed at three points: pre-intervention, post-intervention, and at a follow-up four weeks after the intervention ends. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Efficient Radio-Frequency (RF) stealth is crucial for Dual-Function Radar-Communication (DFRC) systems that detect radar stealth and con vert communication transmission. …”
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A Multi-Input Multi-Output Considering Correlation and Hysteresis Prediction Method for Gravity Dam Displacement with Interpretative Functions by Bo Xu, Yuan Yao, Xuan Wang, Linsong Sun, Bin Ou, Yanming Zhang

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A Brief Report of an Executive Functioning Training Pilot RCT in Adults with HIV: A Descriptive Case Comparison Study by Odii IO, Phaowiriya H, Brooks SB, Wright NK, Azuero A, Fazeli PL, Lee J, Chapman Lambert C, James DL, Kay ES, Vance DE

“…To characterize this study, this article describes an interim descriptive case analysis (N = 4) that was conducted with the first two participants who completed training (n = 2) and compared to demographically matched control (n = 2) participants.Results: Using the Connor’s Continuous Performance Test 3rd Edition, results showed improvements in reaction time (Hit RT, by − 24.5 points) and cognitive IIV (HRT SD, Variability, by − 16 points) in the training group compared to the no-contact control group. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
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Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm by Juncheng Fu, Zhengxiang Song, Jinhao Meng, Chunling Wu

“…First, to address the limitations of traditional extreme learning machines (ELMs) in capturing non-linear features and their poor generalization ability, the concepts of auto encoders (AEs) and hybrid kernel functions are introduced to enhance ELM, resulting in the establishment of the DHKELM model for SOH prediction. …”
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Functional neuroplasticity in chronic post-stroke aphasia following a singing intervention in a cross-over randomised trial by Noelia Martínez-Molina, Anni Pitkäniemi, Sini-Tuuli Siponkoski, Nella Moisseinen, Linda Kuusela, Sari Laitinen, Essi-Reetta Särkämö, Johanna Pekkola, Susanna Melkas, Gottfried Schlaug, Boris Kleber, Aleksi J. Sihvonen, Teppo Särkämö

“…Collectively, these findings indicate that group-based singing is associated with verbal learning and induces functional neuroplasticity changes in the singing network, derived from demographically matched healthy controls, which are associated to improved naming abilities in chronic PSA. https://www.clinicaltrials.gov , Unique identifier: NCT03501797.…”
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Effects of ginger supplementation in individuals with mild to moderate joint pain I: ratings of pain, functional capacity, and markers of inflammation by Jacob Broeckel, Landry Estes, Megan Leonard, Broderick Dickerson, Drew E. Gonzalez, Martin Purpura, Ralf Jäger, Ryan Sowinski, Christopher J. Rasmussen, Richard B. Kreider

“…Data were analyzed using the general linear model (GLM) analysis of variance with repeated measures, mean changes from baseline with 95% confidence intervals, and chi-squared analysis.Results There was evidence that ginger supplementation: 1.) attenuated perceptions of muscle pain in the vastus medialis (Day 2: χ2 p = 0.087); 2.) reported less pain from sitting (Day 2: χ2 p = 0.02), while nocturnal pain (Day 32: χ2 p = 0.075, Day 58: (χ2 p = 0.097), weight bearing pain (Day 32: χ2 p = 0.058), physical functioning of performing heavy duties (Day 32: χ2 p = 0.100), and physical functioning of performing light duties (Day 2: χ2 p = 0.064) on WOMAC questions; 3.) experienced significant reductions in WOMAC overall ratings of pain, stiffness, physical function, and total score values, particularly in 48-hour follow-up measures; 4.) reported less pain during nighttime bed rest (Day 2: χ2 p = 0.065; Day 32: χ2 p = 0.032) and when going up and down stairs (Day 32: χ2 p = 0.097) from the LEQ; and, 5.) promoted significant differences over time and/or between groups in IL-β, IL-5, IL-6, IL-8, INF-γ, TNF-α, and high sensitivity C-reactive Protein at various points during the study.Conclusion Ginger supplementation promotes some favorable effects on exercise-induced perceptions of pain, functional capacity, and inflammatory markers in men and women who have mild to moderate muscle and joint pain.Registered clinical trial #ISRCTN74292348.…”
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CLU, FOS, and CXCL8 as diagnostic biomarkers for heart failure progression post-acute myocardial infarction: an integrated RNA-Seq and multi-machine learning study by Jingjing Wei, Peng Yu, Peng Yu, Yucai Hu, Lijie Qiao, Lijie Qiao, Bin Li, Bin Li, Haitao Li, Shiyang Xie, Zhengwei Dong, Aolong Wang, Yilin Zhang, Xinlu Wang, Yongxia Wang, Mingjun Zhu

“…Subsequently, candidate biomarkers were identified using machine learning and the MCODE plugin, with ROC used to describe the accuracy. …”
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Dynamic, Interpretable, Machine Learning–Based Outcome Prediction as a New Emerging Opportunity in Acute Ischemic Stroke Patient Care: A Proof-of-Concept Study by Ivan Petrović, Sava Njegovan, Olivera Tomašević, Dmitar Vlahović, Sonja Rajić, Željko Živanović, Isidora Milosavljević, Ana Balenović, Nikola Jorgovanović

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Clinical evaluation of usefulness and effectiveness of sitting-type continuous passive motion machines in patients with total knee arthroplasty: a dual-center randomized controlled... by Byung Chan Lee, Chang-Won Moon, Woo Sung Choi, Young Mo Kim, Yong Bum Joo, Da Gyo Lee, Sook Joung Lee, Eunseok Choi, Jong Hun Ji, Dong Whan Suh, Kang Hee Cho

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Development of forced cooling technology using a DLC coating tool with a small through-hole and a communicating tube regarding the turning for difficult-to-machine material by Ikuo TANABE, Hiromi ISOBE

“…When a difficult-to-machine material was used for the workpiece, the temperature becomes the melting point over and the tool insert is easily melted. …”
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Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning Reveals the Giant Exoplanet AF Lep b in High-contrast Imaging Data from 2011 by Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Gabriele Cugno, Emily O. Garvin, Jean Hayoz, Markus Kasper, Elisabeth Matthews, Bernhard Schölkopf, Sascha P. Quanz

“…We find that PCA learns the shape of the telescope point-spread function for high numbers of PCA components. …”
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Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy by Owais A. Khan, Tarkeshwar Singh, Deborah A. Barany, Christopher M. Modlesky

“…Methods Fourteen children with spastic CP (5-11 y; Manual Ability Classification System level I-II) and 14 age-, sex- and arm dominance-matched typically developing controls performed seated uniplanar reaches with a robotic arm (KINARM End-Point Lab) to hit visual targets projected onto a screen. …”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…Subsequently, by dividing the multibeam bathymetric point cloud data surveyed by the AUV into submaps and performing a terrain-matching algorithm, relative position observations among different AUV positions can be constructed. …”
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IMAGE PROCESSING MODELS AND METHODS RESEARCH AND WAYS OF IMPROVING MARKER RECOGNITION TECHNOLOGIES IN ADDED REALITY SYSTEMS by Nataliia Bolohova, Igor Ruban

“…Another advantage of the algorithm of point matching is that if the object goes beyond the frame and then returns again, the program will again continue to track this object. …”
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Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images by Bolin Fu, Yingying Wei, Linhang Jiang, Hang Yao, Xiaomin Li, Yanli Yang, Mingming Jia, Weiwei Sun

“…We also estimated the aboveground biomass of different dominant mangrove species to better understand their ecological functions and health conditions. The results showed the following: (1) The canopy height model and height variables of the LiDAR point clouds, DVI and near-infrared bands of the ZY-3 stereo images, and polarimetric decomposition parameters of the Sentinel-1 SAR images were more sensitive to mangrove heights. (2) The LiDAR point clouds and Sentinel-1 SAR images achieved the highest inversion accuracy when using the RF algorithm, with R2 values of 0.875 and 0.685, respectively. …”
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