查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Choledocholithiasis is the subject of a report. According t o news originating from Chengdu, People’s Republic of China, by NewsRx correspon dents, research stated, “Surface-enhanced Raman spectroscopy (SERS) analysis bas ed on body fluids has been widely applied in disease diagnose. Choledocholithias is is a widespread and often recurrent digestive system disease, with limited da ta on factors predicting its formation and reappearance.” Our news journalists obtained a quote from the research from Sichuan University, “Bile contains many components that could provide valuable diagnostic informati on; however, the current diagnosis of biliary disease by SERS focuses on detecti ng specific component in the bile, overlooking the complex interplay and correla tions among multiple factors that could be crucial for accurate diagnosis. This work directly obtained multi-component SERS spectral information of raw bile fro m 46 patients. Characteristic information was extracted from bile SERS spectra u sing Principal Component Analysis (PCA), revealing variations in the content of characteristic components associated with different choledocholithiasis types an d their recurrence frequency. Pearson correlation analysis was also introduced t o reveal the interactions of primary active substances pertinent to choledocholi thiasis diagnosis. The efficacy of PCA and Support Vector Machine (SVM) models i n classifying stone types, presented an accuracy of 99.2 %. Further more, the interaction patterns among SERS characteristic components in choledoch olithiasis recurrence frequency were revealed, and with the support of SVM, the prediction for different recurrence rates reached an accuracy of 95.2 % .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news reporting out of Wenzhou, People’s Republic of China, by NewsRx editors, the research stated, “PurposeThis paper delves int o the transformative impact of artificial intelligence (AI) across diverse secto rs, notably project management. It examines the potential of AI to revolutionize project management processes within entrepreneurial ventures, where agility, this study navigates the intersection of AI and entre preneurial project management.” Funders for this research include International Collaborative Research Program o f Wenzhou-Kean University, Internal (Faculty/Staff) Start-Up Research Grant of W enzhou-Kean University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Beijing, People ’s Republic of China, by NewsRx correspondents, research stated, “With global in telligence advancing and the awareness of sustainable development growing, artif icial intelligence technology is increasingly being applied to the food industry . This paper, grounded in practical application cases, reviews the current resea rch status and prospects of machine vision-based image recognition technology in food computing.” Our news journalists obtained a quote from the research from Beijing Technology and Business University, “It explores the general workflow of image recognition, applications based on traditional machine learning and deep learning methods. T he paper covers areas including food safety detection, dietary nutrition analysi s, process monitoring, and enterprise management model optimization.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Birmingham, United Kin gdom, by NewsRx correspondents, research stated, “Identifying polarisation-modul ated patterns may be an effective method for both detecting and monitoring macul ar damage. The aim of this work is to determine the effectiveness of polarisatio n-modulated patterns in identifying macular damage and foveolar involvement usin g a methodology that involved feature selection, Naive Bayes supervised machine learning, cross validation, and use of an interpretable nomogram.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting fr om Wageningen, Netherlands, by NewsRx journalists, research stated, “Acute Myelo id Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid c ells, disrupting normal blood production. Treatment typically involves chemother apy, targeted therapy, and stem cell transplantation but many patients develop c hemoresistance, leading to poor outcomes due to the disease’s high heterogeneity .” The news correspondents obtained a quote from the research from Wageningen Unive rsity and Research, “In this study, we used publicly available single-cell RNA s equencing data and machine learning to classify AML patients and healthy, monocy tes, dendritic and progenitor cells population. We found that gene expression pr ofiles of AML patients and healthy controls can be classified at the individual level with high accuracy (>70 %) when using progenitor cells, suggesting the existence of subject-specific single cell tran scriptomics profiles. The analysis also revealed molecular determinants of patie nt heterogeneity (e.g.” According to the news reporters, the research concluded: “TPSD1, CT45A1, and GAB RA4) which could support new strategies for patient stratification and personali zed treatment in leukaemia.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting out of Egaila, Kuwait, by NewsRx edi tors, research stated, “This study presents the design and a thorough analysis o f a six-bar crank-driven leg mechanism integrated with a skew pantograph, develo ped for walking robots. The mechanism’s dimensions were optimized using a rigoro us dimensional synthesis process in GIM software (version 2024).” The news journalists obtained a quote from the research from American University of the Middle East: “Subsequently, a detailed kinematic analysis was performed in GIM to simulate the leg’s motion trajectory, velocity, and acceleration. In p arallel, kinematic equations were formulated using the vector loop method, imple mented in MATLAB (version R2013-b), and compared with the GIM results for valida tion, demonstrating the strong agreement between both tools. These results confi rm the mechanism’s ability to generate a compact, high-lift foot trajectory whil e maintaining system stability and energy efficiency. An inverse dynamic analysi s was carried out to determine the actuator’s driving torque, ensuring efficient operation under expected load conditions. Furthermore, topology optimization co nducted in SOLIDWORKS (version 2021) significantly reduced the weight of the gro und-contacting link while preserving its structural integrity. A subsequent stre ss analysis validated the mechanical viability of the optimized design, supporti ng its feasibility for real-world implementation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “This research introduces a nov el approach to reconstruct sea surface temperature (SST) by developing a univers al coral thermometer using machine learning (ML) algorithms on monthly resolved Porites coral proxies and SST data. A total of 1,202 data sets from 19 corals, c overing SSTs ranging from 21.5 to 31.5 degrees C, with proxies including Sr/Ca, Mg/Ca, Li/Mg, U/Ca, and B/Ca ratios were analyzed.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Berli n, Germany, by NewsRx correspondents, research stated, “The advent of artificial intelligence (AI) and large language model (LLM)-based AI applications (LLMAs) has tremendous implications for our society. This study analyzed the performance of LLMAs on solving restorative dentistry and endodontics (RDE) student assessm ent questions. 151 questions from a RDE question pool were prepared for promptin g using LLMAs from OpenAI (ChatGPT-3.5,-4.0 and -4.0o) and Google (Gemini 1.0).” Financial support for this research came from Charite - Universitatsmedizin Berl in.
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 originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “To solve the shortcomings of low stiffness brought by the high flexibility of continuum, but the variable stiffn ess method based on structure and phase change material has the problems of slow response and complex system, this paper takes the rope-driven flexible robotic arm as the research object, and proposes the design of spine-like continuum robo t with force-locking variable stiffness arranged in the axial position, and inve stigates the performance of its variable stiffness. A reasonable structural desi gn of the robot is obtained through bionic design and optimization of the bendin g structure.” Financial supporters for this research include Natural Science Basic Research Pl an-General Project of Shaanxi Provincea, Natural Science Basic Research Plan-Gen eral Project of Shaanxi Province, National Natural Science Foundation of China ( NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting out of Karnataka, India, by New sRx editors, research stated, “Compared with 2D face recognition systems, 3D fac ial recognition has been a popular area of study in academia and industry becaus e of its ability to detect human faces in an unconstrained environment more effi ciently.” Our news reporters obtained a quote from the research from Manipal Academy of Hi gher Education: “This study presents a new 3D face identification method that us es 3D facial images to compute geodesic distances using 3D landmarks. Feature ex traction is computationally more efficient than Euclidean distance using geodesi c distance. This study aims to demonstrate how to differentiate identical twins based solely on facial features by developing an efficient algorithm for calcula ting geodesic paths and distances. We employed the A*, Dijkstra, and fast marchi ng (FM) algorithms to calculate the geodesic distance. Quantitative similarity m etrics are obtained and then utilized as inputs in numerous classification metho ds: random forest (RF), extra tree classifier (ETC), light gradient boosting mac hine (LGBM), support vector machine (SVM), and bagging classifiers. An expressio n challenge dataset for 3D twins (3D-TEC), the most challenging data set for 3D face recognition research at Notre Dame University, was used to validate and tes t the performance of these algorithms.”
NETL
NSTL