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    Study Results from Loyola University Chicago Broaden Understanding of Artificial Intelligence (Artificial Intelligence and Performance Management)

    109-109页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According to newsreporting from Chicago, Illino is, by NewsRx journalists, research stated, “Artificial Intelligence (AI) enabled tools have increasingly becoming popular in our societies and are increasingly being used by students andpractitioners, among others. Within corporations, nu merous different applications have been identifiedwhere AI -enabled tools have been applied with different levels of success.”The news correspondents obtained a quote from the research from Loyola Universit y Chicago, “In thisarticle, we explore the pros and cons of using AI in perform ance management (PM). We draw upon thepractitioner literature to summarize the current status of AI and AI -enabled tools. We also interviewed8 HR professiona ls from around the world to learn about their experience(s) with the tools and t o gainan insight into the future. In doing so, we explore the various component s of performance managementsystems (PMS) and discuss how each might be impacted by the use of AI.”
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    University Sains Malaysia Reports Findings in Stroke (Improvements of mid-thigh circumferences following robotic rehabilitation in hemiparetic stroke patients)

    109-110页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject ofa report. According to news origina ting from Kelantan, Malaysia, by NewsRx correspondents, researchstated, “Stroke has emerged as the leading cause of disability globally. The provision of long- termrehabilitation to stroke survivors poses a health care burden to many count ries.”Our news journalists obtained a quote from the research from University Sains Ma laysia, “Roboticdevices have created a major turning point in stroke rehabilita tion program. Currently, the anthropometricevidence to support the benefit of robotic rehabilitation (RR) among stroke patients is scarce. Therefore,the aim o f this study was to evaluate the impact of RR on the mid-thigh circumferences of the pareticlimbs in stroke patients. Twenty stroke patients from conventional rehabilitation (CR) (n = 10) and RR(n = 10) groups were recruited through a pur posive sampling method. Patients in the CR group receiveda two-hour session of a five-day-a-week home-based CR program for 4 weeks. Patients in the RR groupre ceived a five-day-a-week of an hour combined physiotherapy and occupational ther apy session anda one-hour robotic therapy session using the HAL? Cyberdyne lowe r-limb, for 4 weeks. The mid-thighcircumferences of both limbs were measured on day 1 (baseline), week 2 and week 4 of rehabilitationprogram. The results reve aled no statistically significant difference in the mid-thigh circumferences between the paretic (F = 1.96, p = 0.20), and the normal (F = 1.96, p = 0.20) sides in the CR group (n= 10). For the comparison between the paretic and normal sid es in the RR group (n = 10), the pareticmid-thigh circumferences revealed signi ficant time effect results (F = 11.91, p = 0.001), which were dueto changes bet ween baseline and week 2, and baseline and week 4 measurements. Interestingly, t henormal mid-thigh circumferences also revealed a significant time effect (F = 6.56, p = 0.007), which isdue to changes between baseline and week 4. One-way a nalysis of variance was employed to comparethe mean average between groups due to the difference in the baseline measurements of the mid-thighcircumferences b etween the paretic side of the CR and the RR groups. With this adjustment, the a veragemeans mid-thigh circumferences after 4 weeks of therapy were shown to be significantly different betweenthe CR and RR groups (F = 12.49, p = 0.02). Sign ificant increments in the mid-thigh circumferencesfollowing RR were seen in the paretic limbs of stroke patients.”
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    New Robotics Study Findings Have Been Reported by Investigators at Beijing Institute of Technology (Modeling of a Six-bar Tensegrity Robot Using the Port-hamilt onian Framework and Experimental Validation)

    112-112页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Existing tensegrityrobot modeli ng predominantly relies on cable length as the primary control input, making it intractable forimplementation on motor-driven physical systems. In addition, th e current models lack precise formulationsfor intricate environmental interacti ons, such as ground contact forces during deformation and rollingmaneuvers.”Financial support for this research came from National Key Research and Developm ent Program ofChina.The news correspondents obtained a quote from the research from the Beijing Inst itute of Technology,“To bridge these gaps, our study proposes a practicable mod eling approach tailored for six-bartensegrity robots within the Port-Hamiltonia n framework. We address the internal forces stemming frominterconnected bars an d cables by elegantly formulating them as Hamiltonian expressions. Central to our modeling is the versatile ‘port’, encompassing contact and friction forces, an d motor-driven propulsion.These considerations exhibit a broad applicability to cable-driven tensegrity robots, facilitating the straightforwarddeployment of controllers on real-world robotic platforms. The system parameters are identifie dvia experiments on our prototype tensegrity robot, with results aligning close ly with theoretical analyses.”
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    Peking Union Medical College Hospital Reports Findings in Glioblastomas (Predictive Model to Identify the Long Time Survivor in Patients with Glioblastoma: A Cohort Study Integrating Machine Learning Algorithms)

    113-113页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Oncology - Glioblastomas is the s ubject of a report. According to news reportingoriginating from Beijing, People ’s Republic of China, by NewsRx correspondents, research stated, “Weaimed to de velop and validate a predictive model for identifying long-term survivors (LTS) among glioblastoma(GB) patients, defined as those with an overall survival (OS) of more than 3 years. A total of 293GB patients from CGGA and 169 from TCGA da tabase were assigned to training and validation cohort,respectively.”Our news editors obtained a quote from the research from Peking Union Medical Co llege Hospital,“The differences in expression of immune checkpoint genes (ICGs) and immune infiltration landscape werecompared between LTS and short time surv ivor (STS) (OS <1.5 years). The differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify the genesdifferentially expressed between LTS and STS. Three differen t machine learning algorithms were employedto select the predictive genes from the overlapping region of DEGs and WGCNA to construct the nomogram.The comparis on between LTS and STS revealed that STS exhibited an immune-resistant status, w ithhigher expression of ICGs (P <0.05) and greater infiltr ation of immune suppression cells compared to LTS(P <0.05) . Four genes, namely, OSMR, FMOD, CXCL14, and TIMP1, were identified and incorpo ratedinto the nomogram, which possessed good potential in predicting LTS probab ility among GB patientsboth in the training (C-index, 0.791; 0.772-0.817) and v alidation cohort (C-index, 0.770; 0.751-0.806).STS was found to be more likely to exhibit an immune-cold phenotype.”
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    University of Maryland School of Pharmacy Reports Findings in Machine Learning (Machine Learning Models to Interrogate Proteome-Wide Covalent Ligandabilities Directed at Cysteines)

    115-115页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Baltimore, Maryland, b y NewsRx editors, research stated, “Machine learning (ML) identificationof cova lently ligandable sites may accelerate targeted covalent inhibitor design and he lp expandthe druggable proteome space. Here, we report the rigorous development and validation of the tree-basedmodels and convolutional neural networks (CNNs ) trained on a newly curated database (LigCys3D) ofover 1000 liganded cysteines in nearly 800 proteins represented by over 10,000 three-dimensional structuresin the protein data bank.”Financial support for this research came from National Cancer Institute.
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    Copenhagen University Hospital Reports Findings in Biomarkers (Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET- derived features)

    116-116页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Diagnostics and Screen ing - Biomarkers is the subject of a report.According to news originating from Copenhagen, Denmark, by NewsRx correspondents, research stated,“To better asses s the pathology of neurodegenerative disorders and the efficacy of neuroprotecti ve interventions,it is necessary to develop biomarkers that can accurately capt ure age-related biological changesin the human brain. Brain serotonin 2A recept ors (5-HT2AR) show a particularly profound age-relateddecline and are also redu ced in neurodegenerative disorders, such as Alzheimer’s disease.”Our news journalists obtained a quote from the research from Copenhagen Universi ty Hospital, “Thisstudy investigates whether the decline in 5-HT2AR binding, me asured in vivo using positron emissiontomography (PET), can be used as a biomar ker for brain aging. Specifically, we aim to (1) predict brainage using 5-HT2AR binding outcomes, (2) compare 5-HT2AR-based predictions of brain age to predict ionsbased on gray matter (GM) volume, as determined with structural magnetic re sonance imaging (MRI),and (3) investigate whether combining 5-HT2AR and GM volu me data improves prediction. We used PETand MR images from 209 healthy individu als aged between 18 and 85 years (mean = 38, std = 18) andestimated 5-HT2AR bin ding and GM volume for 14 cortical and subcortical regions. Different machine learning algorithms were applied to predict chronological age based on 5-HT2AR bin ding, GM volume, andthe combined measures. The mean absolute error (MAE) and a cross-validation approach were used forevaluation and model comparison. We find that both the cerebral 5-HT2AR binding (mean MAE = 6.63years, std = 0.74 years ) and GM volume (mean MAE = 6.95 years, std = 0.83 years) predict chronologicalage accurately. Combining the two measures improves the prediction further (mean MAE = 5.54 years,std = 0.68).”
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    Shanghai Jiao Tong University School of Medicine Reports Findings in Biliary Atr esia (Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study)

    117-117页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biliary Tract Diseases and Conditions - Biliary Atresia is the subjectof a report. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRxjournal ists, research stated, “Cholestasis, characterized by the obstruction of bile fl ow, poses a significantconcern in neonates and infants. It can result in jaundi ce, inadequate weight gain, and liver dysfunction.”The news reporters obtained a quote from the research from the Shanghai Jiao Ton g University Schoolof Medicine, “However, distinguishing between biliary atresi a (BA) and non-biliary atresia in these youngpatients presenting with cholestas is poses a formidable challenge, given the similarity in their clinicalmanifest ations. To this end, our study endeavors to construct a screening model aimed at prognosticatingoutcomes in cases of BA. Within this study, we introduce a wrap per feature selection model denotedas bWFMVO-SVM-FS, which amalgamates the wate r flow-based multi-verse optimizer (WFMVO) andsupport vector machine (SVM) tech nology. Initially, WFMVO is benchmarked against eleven state-of-theartalgorith ms, with its efficiency in searching for optimized feature subsets within the mo del validated onIEEE CEC 2017 and IEEE CEC 2022 benchmark functions. Subsequent ly, the developed bWFMVO-SVMFSmodel is employed to analyze a cohort of 870 con secutively registered cases of neonates and infants withcholestasis (diagnosed as either BA or non-BA) from Xinhua Hospital and Shanghai Children’s Hospital,b oth affiliated with Shanghai Jiao Tong University. The results underscore the re markable predictivecapacity of the model, achieving an accuracy of 92.639 % and specificity of 88.865 %. Gamma-glutamyltransferase, triangular cord sign, weight, abnormal gallbladder, and stool color emerge as highly corre latedwith early symptoms in BA infants.”
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    Researchers from KTH Royal Institute of Technology Detail New Studies and Findings in the Area of Robotics (Uslip Dynamics Emerges In Underwater Legged Robot With Foot Kinematics of Punting Crabs)

    118-119页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting out of Stockholm, Sweden, by NewsRx editors, rese arch stated, “This article investigates bioinspired solutions for achievingstab le dynamic gaits in legged robots through leg coordination and foot trajectories . In this study, werecorded the kinematics of underwater running of the crab, P achygrapsus marmoratus , and implementedthe parameterized foot trajectories and inter -leg coordination on an underwater legged robot, SILVER2.0.”Funders for this research include Scuola Superiore Sant’Anna, Italy, Arbi Dario S.p.A., National GeographicSociety, Grants-in-Aid for Scientific Research (KAKE NHI), Japanese TOBITATE! Young AmbassadorProgram, Japan, European Commission th rough the HORIZON-MSCA-2022-PF-01-01.Our news journalists obtained a quote from the research from the KTH Royal Insti tute of Technology,“The robot’s design parameters like legs’ stiffness, leg len gth, and body mass are based on the UnderwaterSpring Loaded Inverted Pendulum ( USLIP), a model that describes underwater running in animals. Withthis implemen tation, we observed the spontaneous emergence of USLIP dynamics in 20% of the stridesin the robot. This approach allowed SILVER 2.0 to leverage the ad vantages of stable dynamic gaits whileoptimizing the foot trajectory and inter -leg coordination, resulting in improved locomotion performances.The robot achi eved a forward velocity of 0.16 m/s, twice the value obtained in previous gaits.”
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    Studies from Clemson University Provide New Data on Robotics (A Study In Zucker: Insights On Interactions Between Humans and Small Service Robots)

    118-118页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Clemson, Sou th Carolina, by NewsRx correspondents, research stated, “Despiterecent advancem ents in human-robot interaction (HRI), there is still limited knowledge about ho w humansinteract and behave in the presence of small service indoor robots and, subsequently, about the humancenteredbehavior of such robots. This also raise s concerns about the applicability of current trajectoryprediction methods to i ndoor HRI settings as well as the accuracy of existing crowd simulation models in shared environments.”Financial support for this research came from National Science Foundation (NSF).Our news editors obtained a quote from the research from Clemson University, “To address these issues,we introduce a new HRI dataset focusing on interactions b etween humans and small differential drive robotsrunning different types of con trollers. Our analysis shows that anticipatory and non-anticipatory robotcontro llers impose similar constraints to humans’ safety and efficiency. Additionally, we found that currentstate-of-the-art models for human trajectory prediction c an adequately extend to indoor HRI settings.”
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    Patent Application Titled 'Scanning Of Partial Downloads' Published Online (USPT O 20240126878)

    119-121页
    查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Modern computing ecosystems often include “always on” broadba nd internet connections. These connectionsleave computing devices exposed to th e internet, and the devices may be vulnerable to attack.”In addition to obtaining background information on this patent application, News Rx editors also obtainedthe inventors’ summary information for this patent appl ication: “By way of example, a methodincludes, responsive to a user request to download, from the internet, a downloadable file with executablecontent, downlo ading a portion of the downloadable file, wherein the downloadable file is not e xecutablewith the portion; after download the portion of the downloadable file, scanning the portion of the downloadablefile for malware characteristics to cl assify the downloadable file; and completing downloading thedownloadable file o nly after determining, based on the scanning of the portion of the downloadable file,that the downloadable file is not malware.”
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