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 - Robotics and Automation. According to news reporting from Macau, People ’s Republic of China, by NewsRx journalists, research stated, “Virtual reality ( VR) is a promising data engine for autonomous driving (AD). However, data fideli ty in this paradigm is often degraded by VR inconsistency, for which the existin g VR approaches become ineffective, as they ignore the inter -dependency between low-level VR synchronizer designs (i.e., data collector) and high-level VR synt hesizer designs (i.e., data processor).” Financial support for this research came from Science and Technology Development Fund of Macao S.A.R.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning - Artificial Int elligence is the subject of a report. According to news originating from Ensched e, Netherlands, by NewsRx correspondents, research stated, “Video service provid ers are moving from focusing on Quality of Service (QoS) to Quality of Experienc e (QoE) in their video networks since the users’ demand for high-quality video c ontent is continually growing. By focusing on QoE, video service providers can p rovide their subscribers with a more personalized and engaging experience, which can help increase viewer satisfaction and retention.” Our news journalists obtained a quote from the research from the University of T wente, “This focus shift requires not only a more sophisticated approach to netw ork management and new tools and technologies to measure and optimize QoE in the ir networks but also a novel approach to video delivery operations. This paper d escribes the components, interactions, and relationships of an algorithm factory for video delivery operation that assures high QoE for video streaming services . The paper also showcases the results of gradually implementing an algorithm fa ctory in the video industry. Using a dataset from 2016 to 2022, we present the c ase of a European PayTV service provider that achieved improved performance meas ured by both objective and subjective metrics. The use of an algorithm factory s ignificantly improved the PayTV service provider’s performance. The study found a fivefold increase in the speed of critical incident resolution and a 59% reduction in the number of critical incidents, all while expanding the customer base and maintaining the same level of labor resources. The case also demonstrat es a strong positive relation between the productivity measures of the PayTV ope rator and their survey-based quality ratings. These results underscore the impor tance of flawless QoS and operational excellence in delivering QoE to meet the e volving demands of viewers. The paper adds to the existing literature on relatio nships between operational efficiency, innovation, and subjective quality. The p aper further offers empirical evidence from the PayTV industry. The insights pro vided are expected to benefit both traditional and over-the-top (OTT) video serv ice providers in their quest to stay ahead in the rapidly evolving video industr y.”
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 reporting originating in Valenciennes, France, by News Rx journalists, research stated, “Despite the proven effectiveness of rehabilita tion robots (RR) in the literature, they are still little used in clinical rehab ilitation. The aim of this study was to analyse the factors influencing the use of RR and the perception of therapists who used RR.” The news reporters obtained a quote from the research from National Center for S cientific Research (CNRS), “In order to characterize the factors influencing the use of RR by therapists, a semi-structured interview was conducted with 18 ther apists. These interviews are based on an interview guide inspired by the Unified Theory of Acceptance and Use of Technology model. The interviews were recorded and then transcribed, summarized and finally synthesized cross-sectionally. In a ddition and in parallel, the System Usability Scale (SUS) was also proposed to c linicians in order to collect quantitative data. The interviews highlight the fa cilitators perceived by the therapists, such as the intensity of the movement, t he complementarity with conventional rehabilitation. The results also showed the possible barriers perceived, these can be sometimes inconclusive (e.g., bugs). The SUS results show no effect, either on the gender of the users, their therapi sts, or the duration of use of the tool. Better communication on the functionali ty of the robot and the construction of achievable goals would lead to more resu lts that are conclusive but also better patient care. To date, and despite the e vidence for the effectiveness of RRs, therapists believe that there are still ma ny barriers to their use.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originating from Milano, Italy, by NewsRx correspondents, research stated, “Building Information Modelling (BIM) r evolutionizes the construction industry by digitally simulating real-world entit ies through a defined and shared semantic structure.” The news correspondents obtained a quote from the research from Polytechnic Univ ersity Milan: “However, graphical information included in BIM models often conta ins more detailed data compared to the corresponding semantic or computable data . This inconsistency creates an asymmetry, where valuable details present in the graphical renderings are absent from the semantic description of the model. Suc h an issue limits the accuracy and comprehensiveness of BIM models, constraining their full utilization for efficient decision-making and collaboration in the c onstruction process. To tackle this challenge, this paper presents a novel appro ach that utilizes Machine Learning (ML) to mediate the disparity between graphic al and semantic information.”
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 originating from Ioannina, Greece, by NewsRx correspondents, research stated, “We report on the ability to identify w ood specimens by utilizing 30 fs Laser Induced Breakdown Spectroscopy (LIBS) in conjunction with machine learning techniques. Ten different wood specimens have been studied.”Our news journalists obtained a quote from the research from the University of I oannina, “The spectral features were assigned to atomic/ionic and diatomic molec ular transitions. The origin of the latter has been explored by investigating th e dynamics of the created plume in ambient and argon atmosphere. Principal Compo nent Analysis (PCA) was employed for dimensionality reduction based on the prima ry LIBS analysis. The principal components formation is grounded on the CN, Ca I I, Ca I, and Na, LIBS data.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Karachi, Pakis tan, by NewsRx editors, research stated, “In today’s world, technology has engul fed the internet with an excessive amount of unfiltered, spontaneous, and incess ant data from multiple sources. Complex algorithms are designed to present infor mation effectively based on user intent.” Financial supporters for this research include Ministry of Science And Technolog y (Most) Endowment Fund Governed Through The Center of Research And Development (Csrd), Ned University of Engineering And Technology, Pakistan
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 - Ulcerative Colitis is the subject of a report. According to news reporting originating in Zhejiang, People’s Republic of China, by NewsRx j ournalists, research stated, “Clinical ulcerative colitis (UC) is a heterogeneou s condition. Moreover, medical interventions are nonspecific, and thus, treatmen t responses are inconsistent.” The news reporters obtained a quote from the research from the First Affiliated Hospital of Zhejiang Chinese Medical University, “The aim of this study was to e xplore the molecular subtypes and biological characteristics of UC based on ferr optosis and neutrophil gene sets. Multiple intestinal mucosa gene expression pro files of UC patients in the Gene Expression Omnibus (GEO) database were download ed. Unsupervised clustering methods were used to identify potential molecular su btypes based on ferroptosis and neutrophil gene sets. Multiple immune infiltrati on algorithms were used to evaluate the biological characteristics of the molecu lar subtypes. Machine learning identifies hub genes for molecular subtypes and a nalyses their diagnostic efficacy for UC and predictive performance for drug the rapy. The relevant conclusions were verified by clinical samples and animal expe riments. Four molecular subtypes were identified according to the ferroptosis an d neutrophil gene sets: neutrophil, ferroptosis, mixed and quiescent. The subtyp es have different biological characteristics and immune infiltration levels. Mul tiple machine learning methods jointly identified four hub genes (FTH1, AQP9, ST EAP3 and STEAP4). Receiver operating characteristic (ROC) curve analysis reveale d that the four hub genes could be used as diagnostic markers for UC. The clinic al response profile data of infliximab treatment patients showed that AQP9 and S TEPA4 were reliable predictors of infliximab treatment response. In human sample s the AQP9 and STEAP4 protein were shown to be increased in UC intestinal sample s. In animal experiments, the ferroptosis and neutrophil phenotype were confirme d. Dual analysis of ferroptosis and neutrophil gene expression revealed four sub groups of UC patients.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating from Turku, Finland, by NewsRx correspondents, research stated, “Among patients with obstructive coro nary artery disease (CAD) on coronary computed tomography angiography (CTA), dow nstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemia. A novel artificial-intelligence-gui ded quantitative computed tomography ischemia algorithm (AI-QCT) aims to predict ischemia directly from coronary CTA images.” Our news editors obtained a quote from the research from Turku University Hospit al, “We aimed to study the prognostic value of AI-QCT among patients with obstru ctive CAD on coronary CTA and normal or abnormal downstream PET perfusion. AI-QC T was calculated by blinded analysts among patients from the retrospective coron ary CTA cohort at Turku University Hospital, Finland, with obstructive CAD on in itial visual reading (diameter stenosis 50%) being referred for dow nstream O-HO-PET adenosine stress perfusion imaging. All coronary arteries with their side branches were assessed by AI-QCT. Absolute stress myocardial blood fl ow 2.3 ml/g/min in 2 adjacent segments was considered abnormal. The primary endp oint was death, myocardial infarction, or unstable angina pectoris. The median f ollow-up was 6.2 [IQR 4.4-8.3] years. 662 of 768 (86%) patients had conclusive AI-QCT result. In patients wit h normal O-HO-PET perfusion, an abnormal AI-QCT result (n = 147/331) vs. normal AI-QCT result (n = 184/331) was associated with a significantly higher crude and adjusted rates of the primary endpoint (adjusted HR 2.47, 95% CI 1.17-5.21, p = 0.018). This did not pertain to patients with abnormal O-HO-PET p erfusion (abnormal AI-QCT result (n = 269/331) vs. normal AI-QCT result (n = 62/ 331); adjusted HR 1.09, 95 % CI 0.58-2.02, p = 0.794) (p-interactio n = 0.039).”
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 from Newark, Delaware, by N ewsRx journalists, research stated, “Ion-exchange chromatography is an essential but complicated step in the biopharmaceutical downstream process, with multiple factors affecting the separation efficiency. Model-based optimization can help expedite process developments with limited time and resource investments.” Financial support for this research came from U.S. Food and Drug Administration (FDA).
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 reporting originating in Cairo, Egypt, by News Rx journalists, research stated, “Predicting and interpolating the permeability between wells to obtain the 3D distribution is a challenging mission in reservoi r simulation. The high degree of heterogeneity and diagenesis in the Nullipore c arbonate reservoir provide a significant obstacle to accurate prediction.” Financial support for this research came from Egyptian Petroleum Research Instit ute (EPRI).
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