查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news reporting out of Braga, Portugal, by NewsRx e ditors, research stated, “The significance of energy efficiency in the developme nt of smart cities cannot be overstated.” Financial supporters for this research include Fct - Fundacao Para A Ciencia E T ecnologia; R&D Units Project Scope; Ccdr-norte. Our news editors obtained a quote from the research from University of Minho: “I t is essential to have a clear understanding of the current energy consumption ( EC) patterns in both public and private buildings. One way to achieve this is by employing machine learning classification algorithms, which offer a broader per spective on the factors influencing EC. These algorithms can be applied to real data from databases, making them valuable tools for smart city applications. In this paper, our focus is specifically on the EC of public schools in a Portugues e city, as this plays a crucial role in designing a Smart City. By utilizing a c omprehensive dataset on school EC, we thoroughly evaluate multiple ML algorithms . The objective is to identify the most effective algorithm for classifying aver age EC patterns.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Robot comprehensive performance optimization i s a high dimensional non-convex problem, which is of great significance in the p ractice of robotic intelligent manufacturing. Existing methods still face many c hallenges in performance evaluation, local optima, and planning efficiency.” Funders for this research include Key R & D Program of Zhejiang Pr ovince, National Natural Science Foundation of China (NSFC), Yuyao Science and t echnology project, Robotics Institute of Zhejiang University, Pioneer and Leadin g Goose R & D Program of Zhejiang.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Stanford, Cali fornia, by NewsRx journalists, research stated, “Soft pneumatic actuators are us ed to steer soft growing ‘vine’ robots while being flexible enough to undergo th e tip eversion required for growth. In this study, we compared the performance o f three types of pneumatic actuators in terms of their ability to perform eversi on, quasi-static bending, dynamic motion, and force output: the pouch motor, the cylindrical pneumatic artificial muscle (cPAM), and the fabric pneumatic artifi cial muscle (fPAM).” Funders for this research include U.S. Department of Energy, National Nuclear Se curity Administration, Office of Defense Nuclear Nonproliferation Research and D evelopment (DNN R&D) under subcontract from Lawrence Berkeley Natio nal Laboratory, United States Federal Bureau of Investigation, National Science Foundation (NSF), DDPS, armasuisse S+T, Swiss Drones and Robotics Centre (SDRC).
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 reporting originating in Jinan, People’ s Republic of China, by NewsRx journalists, research stated, “A knowledge graph can effectively showcase the essential characteristics of data and is increasing ly emerging as a significant means of integrating information in the field of ar tificial intelligence. Coronary artery plaque represents a significant etiology of cardiovascular events, posing a diagnostic challenge for clinicians who are c onfronted with a multitude of nonspecific symptoms.” The news reporters obtained a quote from the research from the Shandong Universi ty of Traditional Chinese Medicine, “To visualize the hierarchical relationship network graph of the molecular mechanisms underlying plaque properties and sympt om phenotypes, patient symptomatology was extracted from electronic health recor d data from real-world clinical settings. Phenotypic networks were constructed u tilizing clinical data and protein-protein interaction networks. Machine learnin g techniques, including convolutional neural networks, Dijkstra’s algorithm, and gene ontology semantic similarity, were employed to quantify clinical and biolo gical features within the network. The resulting features were then utilized to train a K-nearest neighbor model, yielding 23 symptoms, 41 association rules, an d 61 hub genes across the three types of plaques studied, achieving an area unde r the curve of 92.5%. Weighted correlation network analysis and pat hway enrichment were subsequently utilized to identify lipid status-related gene s and inflammation-associated pathways that could help explain the differences i n plaque properties. To confirm the validity of the network graph model, we cond ucted coexpression analysis of the hub genes to evaluate their potential diagnos tic value. Additionally, we investigated immune cell infiltration, examined the correlations between hub genes and immune cells, and validated the reliability o f the identified biological pathways.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Prostatectom y is the subject of a report. According to news reporting from Madrid, Spain, by NewsRx journalists, research stated, “To evaluate Hugo RAS against the Da Vinci system for Robot-Assisted Radical Prostatectomy (RARP) in prostate cancer treat ment. We compared outcomes of 150 patients with prostate cancer undergoing RARP with either Hugo or Da Vinci systems.” The news correspondents obtained a quote from the research from University Hospi tal H.M. Sanchinarro, “Our analysis included operative, postoperative, pathologi cal, and functional outcomes. Both groups had 75 patients. Baseline characterist ics and tumor features were similar. Intraoperatively, Da Vinci had a shorter do cking time (10.45 vs. 18.62 min, p = 0.02), but total operative times were compa rable (145.34 vs 138.95, p = 0.85). Hugo outperformed in neck dissection and lym phadenectomy times (22 vs 13.67 min, p = 0.027 and 37.82 vs 45.77 min, p = 0.025 ). Postoperative metrics like stay duration, catheter time, and complications sh owed no significant difference. Functional results, using IPSS and IIEF5, were s imilar between systems. Six Da Vinci patients (8%) and nine Hugo pa tients (12%) experienced social incontinence (p = 0.072). Pathologi cal outcomes like T stage, Gleason Score, and nodes removed were alike. However, Hugo had more positive surgical margins (20% vs. 10.67% , p = 0.034). RARP outcomes using Hugo RAS were similar to the Da Vinci system i n our study.”
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 Cambridge, Ma ssachusetts, by NewsRx journalists, research stated, “The Multiple Depot Traveli ng Salesman Problem (MDTSP) is a variant of the NP-hard Traveling Salesman Probl em (TSP) with more than one salesman to jointly visit all destinations, commonly found in task planning in multi-agent robotic systems. Traditional MDTSP overlo oks practical constraints like limited battery level and inter-agent conflicts, often leading to infeasible or unsafe solutions in reality.” Financial support for this research came from National Science Foundation (NSF).
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 Modena, Italy, b y NewsRx correspondents, research stated, “The Reflectance Confocal Microscopy - Optical Coherence Tomography (RCM-OCT) device has shown utility in detecting an d assessing depth of basal cell carcinoma (BCC) in vivo but is challenging for n ovices to interpret. Artificial intelligence (AI) applied to RCM-OCT could aid r eaders.” Our news editors obtained a quote from the research from the University of Moden a and Reggio Emilia, “We trained artificial intelligence (AI) models, using OCT rasters of biopsy-confirmed BCC, to detect and create 3D BCC rendering and autom atically measure tumor depth. Trained AI models were applied to a separate test set containing rasters of BCC, benign lesions, and normal skin. Blinded reader a nalysis and tumor depth correlation with histopathology were conducted. BCC dete ction improved from viewing OCT rasters only (sensitivity 73.3%, sp ecificity 45.5%) to viewing rasters with AI-generated BCC rendering (sensitivity 86.7%, specificity 48.5%). A Pearson Cor relation r2 = 0.59 (p=0.02) was achieved for the tumor depth measurement between AI and histologic measured depths.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Neurodegenerative Dise ases and Conditions - Dementia is the subject of a report. According to news rep orting from Brisbane, Australia, by NewsRx journalists, research stated, “To exp lore the feasibility of deploying robot-led activities for people with dementia living in aged care facilities. Embedded mixed-methods design. Eleven residents ( 65 years) with mild to moderate cognitive impairment were recruited from 2 age d care facilities in Brisbane, Australia.” The news correspondents obtained a quote from the research from Griffith Univers ity, “We implemented a novel control logic, ‘Adam Program,’ for a human-like rob ot to provide proactive robot activities for people with dementia. Participants individually participated in a nonfacilitated robot intervention thrice a week f or 5 weeks from November to December 2022. We video-recorded each intervention s ession and quantified participants’ visual, behavioral, and verbal engagement. A semi-structured interview was conducted at the end of the 5-week intervention. The treatment fidelity strategies and finances were reported and evaluated. The Bowen feasibility framework guided data analysis into 6 focus areas: acceptabili ty, demand, implementation, efficacy, integration, and practicality. Based on pa rticipants’ perceptions, findings demonstrated adequate acceptability and demand for robot-led activities. Findings reported a high level of visual engagement ( 98.54%) and an increased trend of behavior engagement over 5 weeks. Participants independently communicated with Adam, with most (97.02% ) verbal engagements free of human facilitation. The treatment fidelity strategi es regarding the activity delivery, intervention received, and intervention skil ls are provided alongside the equipment expenses, revealing the feasibility of i ntegrating robot-led activities for people with dementia in aged care facilities . Using human-like robots to independently lead interactive activities for peopl e with dementia at aged care facilities is feasible and acceptable. Although rob ot-led activities require further improvement, this study explored a practical-d riven solution that provided guidelines for developing and implementing robot-le d activities in aged care settings. Future studies could replicate similar robot -led activities for further investigation and evaluation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Thyroid Diseases and C onditions - Thyroid Nodules is the subject of a report. According to news origin ating from Guangdong, People’s Republic of China, by NewsRx correspondents, rese arch stated, “Ultrasound is instrumental in the early detection of thyroid nodul es, which is crucial for appropriate management and favorable outcomes. However, there is a lack of clinical guidelines for the judicious use of thyroid ultraso nography in routine screening.” Financial support for this research came from Foshan Science and Technology Bure au.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting from Toronto, Canada, by NewsRx journal ists, research stated, “This paper presents an advanced multiple pieces of debri s capture method for the tethered space net robot.” Funders for this research include Postgraduate Research & Practice Innovation Program of Jiangsu Province; “14th Five-year Plan” Civil Aerospace P re-research Project of China; Science And Technology on Space Intelligent Contro l Laboratory; National Natural Science Foundation of China.
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