查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated,“Rheumat oid arthritis (RA) is a persistent autoimmune condition characterized by synovit is and jointdamage. Recent findings suggest a potential link to abnormal lactat e metabolism.”Our news journalists obtained a quote from the research from Nanjing University, “This study aimsto identify lactate metabolism-related genes (LMRGs) in RA and investigate their correlation with themolecular mechanisms of RA immunity. Dat a on the gene expression profiles of RA synovial tissue sampleswere acquired fr om the gene expression omnibus (GEO) database. The RA database was acquired by obtaining the common LMRDEGs, and selecting the gene collection through an SVM mo del. Conductingthe functional enrichment analysis, followed by immuno-infiltrat ion analysis and protein-protein interactionnetworks. The results revealed that as possible markers associated with lactate metabolism in RA, KCNN4and SLC25A4 may be involved in regulating macrophage function in the immune response to RA, whereasGATA2 is involved in the immune mechanism of DC cells.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in brain-based devices. According to news originatingfrom Dayton, Ohio, by NewsRx correspondents, research stated, “When learning to use a brain-machineinterface (BMI), the brain modulates neuronal activity patterns, exploring and exploiting the state spacedefined by their neural manifold.”Financial supporters for this research include National Institutes of Health.The news correspondents obtained a quote from the research from Air Force Resear ch Laboratory:“Neurons directly involved in BMI control (i.e., direct neurons) can display marked changes in their firingpatterns during BMI learning. However , the extent of firing pattern changes in neurons not directlyinvolved in BMI c ontrol (i.e., indirect neurons) remains unclear. To clarify this issue, we local ized directand indirect neurons to separate hemispheres in a task designed to b ilaterally engage these hemisphereswhile animals learned to control the positio n of a platform with their neural signals. Animals that learnedto control the p latform and improve their performance in the task shifted from a global strategy , whereboth direct and indirect neurons modified their firing patterns, to a lo cal strategy, where only directneurons modified their firing rate, as animals b ecame expert in the task. Animals that did not learn theBMI task did not shift from utilizing a global to a local strategy.”
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 Tampa, Florida, by NewsRx jour nalists, research stated, “This study aims to investigate tourists’intentions t o use hotel service robots with a focus on safety and hygiene. It examines the i mpact ofperceived safety, health awareness and service assurance on consumer en gagement and robot usage.”Financial support for this research came from Faculty of Informatics and Managem ent of the Universityof Hradec Kralove (FIM UHK).The news correspondents obtained a quote from the research from the University o f Southern Florida,“Design/methodology/approach-Survey data from 275 participan ts with experience in robotic service wereanalyzed using structural equation mo deling (SEM). The study used purposive sampling and collected datavia the Proli fic platform, using SEM and SmartPLS Ver. 3.0 for analysis. Results indicate cus tomersprioritize safety and hygiene, valuing effective service responses and cl eanliness. Perceived robotic safetyand service assurance positively influence p ersonal engagement, with a preference for service robots amongfemale guests. Re search limitations/implications-While emphasizing the importance of safety and s erviceassurance in hotel robotics, the study acknowledges limitations in person alization and conclusive use ofservice robots. Originality/value-This research contributes to understanding the role of perceived safety inservice robot usage , highlighting the significance of user trust and comfort in human-robot interac tions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting out of the Ran ders Regional Hospital by NewsRx editors, research stated, “Currentguidelines r egarding oxytocin stimulation are not tailored to individuals as they are based on randomisedcontrolled trials. The objective of the study was to develop an ar tificial intelligence (AI) model for individualprediction of the risk of caesar ean delivery (CD) in women with a cervical dilatation of 6 cm after oxytocinsti mulation for induced labour.”The news correspondents obtained a quote from the research from Randers Regional Hospital: “Themodel included not only variables known when labour induction wa s initiated but also variables describingthe course of the labour induction. Se condary analysis of data from the CONDISOX randomised controlledtrial of discon tinued vs. continued oxytocin infusion in the active phase of induced labour. Ex tremegradient boosting (XGBoost) software was used to build the prediction mode l. To explain the impact ofthe predictors, we calculated Shapley additive expla nation (SHAP) values and present a summary SHAPplot. A force plot was used to e xplain specifics about an individual’s predictors that result in a changeof the individual’s risk output value from the population-based risk. Among 1060 inclu ded women, 160(15.1%) were delivered by CD. The XGBoost model foun d women who delivered vaginally were more likelyto be parous, taller, to have a lower estimated birth weight, and to be stimulated with a lower amountof oxyto cin. In 108 women (10% of 1060) the model favoured either continua tion or discontinuation ofoxytocin. For the remaining 90% of the women, the model found that continuation or discontinuation ofoxytocin stimulat ion affected the risk difference of CD by less than 5% points.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Thrombectomy is the subject of a report. According to newsreporting out of Barcelona, Spain , by NewsRx editors, research stated, “Endovascular robotic devices mayenable e xperienced neurointerventionalists to remotely perform endovascular thrombectomy . This studyaimed to assess the feasibility, safety, and efficacy of robot-assi sted endovascular thrombectomy comparedwith manual procedures by operators with varying levels of experience, using a 3D printed neurovascularmodel.”Our news journalists obtained a quote from the research, “M1 MCA occlusions were simulated in a3D printed neurovascular model, linked to a CorPath GRX robot in a biplane angiography suite. Fourinterventionalists performed manual endovascu lar thrombectomy ( = 45) and robot-assisted endovascularthrombectomy ( = 37) pr ocedures. The outcomes included first-pass recanalization (TICI 2c-3), thenumbe r and size of generated distal emboli, and procedural length. A total of 82 expe rimental endovascularthrombectomies were conducted. A nonsignificant trend favo ring the robot-assisted endovascularthrombectomy was observed in terms of final recanalization (89.2% versus manual endovascular thrombectomy,71 .1%; = .083). There were no differences in total mean emboli count (16.54 [SD, 15.15] versus15.16 [SD, 16.43]; = .303). However, a higher mean count of emboli o f > 1 mm was observed in therobot-assisted endovascular thrombectomy group (1.08 [SD, 1.00] versu s 0.49 [SD, 0.84]; = .001) comparedwith m anual endovascular thrombectomy. The mean procedural length was longer in robot- assistedendovascular thrombectomy (6.43 [SD, 1.71] minutes versus 3.98 [SD, 1.84] minutes; <.001). Amongestablished neurointerventionalists, previous experience with robo tic procedures did not influence recanalization(95.8% were consid ered experienced; 76.9% were considered novices; = .225). In a 3D printedneurovascular model, robot-assisted endovascular thrombectomy has the po tential to achieve recanalizationrates comparable with those of manual endovasc ular thrombectomy within competitive proceduraltimes.”
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 reportingoriginating in Shenzhen, People’s R epublic of China, by NewsRx journalists, research stated, “The accuracyof exist ing ultra-wideband (UWB) range-based indoor localization methods is generally de graded due tothe non-line-of-sight (NLOS) situations where a serve bias in UWB range measurements is unavoidable. Inthis article, we first propose a two-stage NLOS detection method to detect line-of-sight (LOS)-measureddistances in mixed LOS/NLOS indoor environments.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news reporters obtained a quote from the research from Hunan University, “Th en, a high-accuracyUWB/IMU/Odometer integrated localization system is presented using an adaptive multi-algorithm localizationframework based on the number of detected LOS-measured distances. Specifically, under conditionsof one or two L OS-measured distances, an improved adaptive EKF positioning algorithm (IAEKF) is proposed.Compared with the traditional extended Kalman filter (EKF)-based fusi on scheme, the weightfunction of innovation is exploited to adaptively estimate the measurement noise covariance matricesand further reduce the influence of t he changing measurement noise in NLOS conditions. For three ormore LOS-measured ranges, a novel tightly coupled fusion factor graph framework is developed. To furtherimprove the performance of seamless positioning in transaction areas, a strong constraint of trajectorysmoothness is designed and added to the factor g raph framework using the weight value of IMU/odometermeasurements.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ro botics. According to news originating fromXingtai, People’s Republic of China, by NewsRx correspondents, research stated, “Traditional robotic armsrely on com plex programming and predefined trajectories to operate, which limits their appl icability.”Our news correspondents obtained a quote from the research from Department of Me chanical Engineering:“To improve the flexibility and adaptability of the robot arm, the research focuses on improvingthe grasping performance of the robot arm based on vision technology. Kinect technology is used tocapture human arm move ments, and Kalman filter is introduced to smooth image data, so as to optimizet he motion recognition process. In this study, the residual network model is furt her improved, and ELUactivation function and pre-activation mechanism are intro duced to enhance the classification accuracy ofgesture images. The results show ed that the improved ResNet50 model achieves 95% recognition accuracy after 25 iterations of training, while the original model is 80% . The application of Kalman filtermakes the motion tracking curve smoother and shows the correction effect of this method. In simulationtests, the robotic arm is able to identify different elbow bending angles with 90-96 percent accuracy, whilemimicking five specific hand gestures with 96-98 percent accuracy.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ro botics and mechatronics. According to news reporting out of Shiga, Japan, by New sRx editors, research stated, “Utilizing building information modeling(BIM) for the analysis of existing pipelines necessitates the development of a swift and precise recognitionmethod.”The news journalists obtained a quote from the research from Ritsumeikan Univers ity: “Deep learningbasedobject recognition through imagery has emerged as a po tent solution for tackling various recognitiontasks. However, the direct applic ation of these models is unfeasible due to their substantial computationalrequi rements. In this research, we introduce a lightweight encoder explicitly for pip e recognition.”According to the news reporters, the research concluded: “By optimizing the netw ork architecture usingattention mechanisms, it ensures high-precision recogniti on while maintaining computational efficiency.The experimental results showcase d in this study underscore the efficacy of the proposed lightweightencoder and its associated networks.”
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 originating from Montreal,Canada, by NewsRx correspondents , research stated, “We present a methodology for automated formingof metal plat es into freeform shapes using shot peening. The methodology is based on a simula tionsoftware that computes the peening pattern and simulates the effect of its application.”Financial supporters for this research include Natural Sciences and Engineering Research Council ofCanada (NSERC), Fonds de recherche du Quebec - Nature et tec hnologies (FRQNT), Fonds de recherchedu Quebec - Nature et technologies (FRQNT) , Ministere de l’Economie et de l’Innovation du Quebec,Aluminium Research Centr e - REGAL, Aerosphere Inc.Our news journalists obtained a quote from the research from Polytechnique Montr eal, “The patterngeneration requires preliminary experimental characterization of the treatment. The treatment is appliedby a shot peening robot. The program for the robot is generated automatically according to the peeningpattern. We va lidate the methodology with a series of tests. Namely, we form nine aluminum pla tes intodoubly curved shapes and we also shape model airplane wing skins.”
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 and mechatronics have been published. Accordingto news reporting out of Sapporo, Ja pan, by NewsRx editors, research stated, “This study proposes anautomatic findi ngs generation method that performs in-context few-shot learning of a visual lan guagemodel.”Funders for this research include Japan Society For The Promotion of Science.The news reporters obtained a quote from the research from Hokkaido University: “The automaticgeneration of findings can reduce the burden of creating inspecti on records for infrastructure facilities.However, the findings must include the opinions and judgments of engineers, in addition to what is recognizedfrom the image; therefore, the direct generation of findings is still challenging. With this background,we introduce in-context few-short learning that focuses on imag e similarity and text diversity in the visuallanguage model, which enables text output with a highly accurate understanding of both vision andlanguage.”
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