查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Liver Diseases and Con ditions - Liver Fibrosis is the subject of a report. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRx journalists, rese arch stated, “Schistosomiasis japonica represents a significant public health co ncern in South Asia. There is an urgent need to optimize existing schistosomiasi s diagnostic techniques.” The news reporters obtained a quote from the research from First People’s Hospit al, “This study aims to develop models for the different stages of liver fibrosi s caused by Schistosoma infection utilizing ultrasound radiomics and machine lea rning techniques. From 2018 to 2022, we retrospectively collected data on 1,531 patients and 5,671 B-mode ultrasound images from the Second People’s Hospital of Duchang City, Jiangxi Province, China. The datasets were screened based on incl usion and exclusion criteria suitable for radiomics models. Liver fibrosis due t o Schistosoma infection (LFSI) was categorized into four stages: grade 0, grade 1, grade 2, and grade 3. The data were divided into six binary classification pr oblems, such as group 1 (grade 0 vs. grade 1) and group 2 (grade 0 vs. grade 2). Key radiomic features were extracted using Pyradiomics, the Mann-Whitney U test , and the Least Absolute Shrinkage and Selection Operator (LASSO). Machine learn ing models were constructed using Support Vector Machine (SVM), and the contribu tion of different features in the model was described by applying Shapley Additi ve Explanations (SHAP). This study ultimately included 1,388 patients and their corresponding images. A total of 851 radiomics features were extracted for each binary classification problems. Following feature selection, 18 to 76 features w ere retained from each groups. The area under the receiver operating characteris tic curve (AUC) for the validation cohorts was 0.834 (95% CI: 0.77 9-0.885) for the LFSI grade 0 vs. LFSI grade 1, 0.771 (95% CI: 0.7 13-0.835) for LFSI grade 1 vs. LFSI grade 2, and 0.830 (95% CI: 0. 762-0.885) for LFSI grade 2 vs. LFSI grade 3.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Androids is the subject of a report. According to news originating from Haikou, People’s Re public of China, by NewsRx correspondents, research stated, “Mascotlike service robots embody anthropomorphic features, fostering affinity, and cultural repres entation. It is unknown whether they have politeness strategies that are more ef fective compared to humanoid robots.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Hainan Province, Key Research and Developme nt Project of Hainan Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Edmonton, Ca nada, by NewsRx journalists, research stated, “Through the application of machin e learning algorithms to neuroimaging data the brain age methodology was shown t o provide a useful individual-level biological age prediction and identify key b rain regions responsible for the prediction. In this study, we present the metho dology of constructing a rhesus macaque brain age model using a machine learning algorithm and discuss the key predictive brain regions in comparison to the hum an brain, to shed light on cross-species primate similarities and differences.” Financial supporters for this research include Young Investigator Grant of The B rain & Behavior Research Foundation, Alberta Innovates, Mental Hea lth Foundation, MITACS Accelerate pro-gram, Simon & Martina Sochat sky Fund for Mental Health, Howard Berger Memorial Schizophrenia Research Fund, Abraham & Freda Berger Memorial Endowment Fund, Alberta Synergies in Alz-heimer’s and Related Disorders, University Hospital Foundation, Universit y of Alberta, Alberta Synergies in Alzheimer’s and Related Disorders - Alzheimer Society of Alberta and Northwest Territories, Neuroscience and Mental Health In stitute at the University of Alberta, MITACS Accelerate program, National Instit utes of Health (NIH) - USA.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Support Vector Machines have been published. According to news originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stat ed, “Accurately determining the critical non-depositing velocity for sediment (C NDVS) in drip irrigation laterals is essential to address issues of sediment dep osition and clogging in drip irrigation pipes caused by the use of muddy water.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), China Postdoctoral Science Foundation. Our news journalists obtained a quote from the research from the Xi’an Universit y of Technology, “This paper focuses on three main factors: the percentage of in termediate-sized sediment particles (P), pipe diameter (D), and sediment concent ration (S), all of which significantly influence the CNDVS in drip irrigation la terals.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Changsha, People’s Republic o f China, by NewsRx correspondents, research stated, “Manganese (Mn) is an essent ial element in both plants and the human body; however, traditional methods for monitoring Mn in soil are costly and inefficient. As such, it is necessary to es tablish a model for environmental research uses that can accurately predict soil Mn content over large areas.” Financial support for this research came from High Performance Computing Center of Central South University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting out of Henan, People’s Republic of China, b y NewsRx editors, research stated, “In the offshore pipeline plugging operation, the coupling vibration between the in-pipe fluid, the pipeline isolation pluggi ng robot (PIPR) and the pipeline will aggravate the deterioration damage of the pipeline and PIPR. Therefore, this paper proposes an active vibration reduction control method for the PIPR to reduce vortexinduced vibration during dynamic plu gging.” Funders for this research include National Natural Science Foundation of China ( NSFC), Henan Provincial Science and Technology Research Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Nasopharyng eal Carcinoma is the subject of a report. According to news reporting from Nanji ng, People’s Republic of China, by NewsRx journalists, research stated, “To esta blish and validate a machine learning model using pretreatment multiparametric m agnetic resonance imaging-based radiomics data with clinical data to predict rad iation-induced temporal lobe injury (RTLI) in patients with nasopharyngeal carci noma (NPC) after intensity-modulated radiotherapy (IMRT). Data from 230 patients with NPC who received IMRT (130 with RTLI and 130 without) were randomly divide d into the training (n = 161) and validation cohort (n = 69) with a ratio of 7:3 .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Jinan, People’s Republic of China, by NewsRx correspondents, research stated, “Glass fiber reinforced plastics (GFRP) are widely appiled for high-value components, but it faces limitations due to t he heterogeneity and limited milling tool life. This study investigates the wear mechanism of tools in varying states of wear during the milling of GFRP under d ifferent combinations of cutting parameters.” Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), Aeronauti cal Science Foundation of China, Key R & D Program of Shandong Pro vince, Open Fund of Laboratory of Aerospace Servo Actuation and Transmission, Sh andong Province enterprise innovation enhancement project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “The transition to robotic construction requires advanced planning approaches to meet the specific requirements for succ essful robot deployment. Robots require precise information (e.g., position, vel ocity, force) to execute tasks reliably.” Financial support for this research came from China Scholarship Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating from Cho ngqing, People’s Republic of China, by NewsRx correspondents, research stated, “ With the improvements in laparoscopic or robotic surgical techniques and instrum ents, a growing number of surgeons have attempted to complete all digestive trac t reconstruction intracorporeally; these procedures include totally robotic gast rectomy (TRG) and totally laparoscopic gastrectomy (TLG). This study aimed to ev aluate the safety and feasibility of the TRG and compare the short-term outcomes of the TRG and TLG in patients with gastric cancer.”
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