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 originating from Raleigh, North C arolina, by NewsRx correspondents, research stated, “Three-dimensional (3D) text ile-based garment prototyping, widely adopted in the apparel and textile industr y, enhances cost efficiency, work productivity, and seamless communication via v isual prototyping. Neural network-based 3D textile digitization has the potentia l to streamline manufacturing processes by negating the need for traditional phy sical property (PT) measurements.” Financial support for this research came from Department of Defense (DoD) throug h the North Carolina Defense Manufacturing Community Support Program (DMCSP).
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 out of Gujarat, India, by N ewsRx editors, research stated, “Understanding rock failure behaviors is crucial for various engineering applications, including geotechnical engineering, minin g, petroleum engineering, and underground construction. Rock failure criteria pr ovide essential tools for the prediction of mechanical response of rocks under d ifferent loading conditions.” Our news journalists obtained a quote from the research from the Department of P etroleum Engineering, “This review article overviews various rock failure criter ia, highlighting their underlying theories, modeling approaches, and application s. The paper discusses classical failure criteria and extended criteria based on them, such as Mohr -Coulomb (M -C), Hoek-Brown (H-B), and Griffith Criteria, as well as more advanced criteria incorporating rock fabric, anisotropy, and compl ex failure modes. The review also explores machine learning approaches for rock failure prediction and uniaxial compressive strength based on experimental and r eal-time well-log data to determine and validate rock failure criteria. The insi ghts provided in this article can assist researchers, engineers, and practitione rs in selecting appropriate failure criteria for specific rock types and enginee ring projects.”
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 and mechatronics. According to news reporting out of Chiba, Japan, by New sRx editors, research stated, “The digitization of the construction site environ ment has progressed rapidly.” Funders for this research include Japan Society For The Promotion of Science.
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 ar tificial intelligence. According to news reporting out of Philadelphia, Pennsylv ania, by NewsRx editors, research stated, “Over time, pathological, genetic, env ironmental, and lifestyle factors can age the brain and diminish its functional capabilities.” Our news correspondents obtained a quote from the research from Drexel Universit y: “While these factors can lead to disorders that can be diagnosed and treated once they become symptomatic, often treatment is difficult or ineffective by the time significant overt symptoms appear. One approach to this problem is to deve lop a method for assessing general age-related brain health and function that ca n be implemented widely and inexpensively. To this end, we trained a machine-lea rning algorithm on restingstate EEG (RS-EEG) recordings obtained from healthy i ndividuals as the core of a brain-age estimation technique that takes an individ ual’s RS-EEG recorded with the low-cost, user-friendly EMOTIV EPOC X headset and returns that person’s estimated brain age. We tested the current version of our machinelearning model against an independent test-set of healthy participants and obtained a correlation coefficient of 0.582 between the chronological and es timated brain ages (r = 0.963 after statistical bias-correction). The test-retes t correlation was 0.750 (0.939 after bias-correction) over a period of 1 week.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Ann Arbor, Michigan, by NewsRx editors, research stated, “Decentralized coordination for multi-robot systems i nvolves planning in challenging, high-dimensional spaces. The planning problem i s particularly challenging in the presence of obstacles and different sources of uncertainty such as inaccurate dynamic models and sensor noise.” Financial support for this research came from Ford Motor Company.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotic systems a re discussed in a new report. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “To satisfy the requ irements of large workspace, high capability, and low inertia demanded by the hi gh precision and high stiffness aerospace equipment, serial manipulator with ins ufficient intersection joints is proposed in this article based on finite and in stantaneous screw theory.” Our news journalists obtained a quote from the research from Tianjin University of Technology and Education: “Due to the specific topology structure with no int ersecting joints at both ends, the explicit solution of forward and inverse kine matics for the serial manipulator with insufficient intersection joints proposed in this article is extremely difficult. Therefore, an analytical method based o n finite and instantaneous screw theory is proposed for this serial manipulator, and the explicit kinematic solution is derived in this article. According to pa rticular calculation principle of finite and instantaneous screw theory, the fin ite motion of this serial manipulator is described. Based on this description, t he product of exponentials formula of the kinematics of the serial manipulator w ith insufficient intersection joints is established on the basic of finite and i nstantaneous screw theory for the first time, and a novel subproblem is arose du ring the decomposition of product of exponentials formula.”
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 robotics have been published. According to news reporting originating from Verona, Italy, by NewsRx correspondents, research stated, “Chyluria, an abnormal lymphatic disorde r, results in excessive abdominal lymph drainage into the urinary system, causin g protein loss, nutritional deficiencies, and immune issues.” Our news editors obtained a quote from the research from Department of Urology: “Mainly linked to parasitic infections in developed countries, non-parasitic cau ses like trauma or tumors are rare. Typically appearing in adults with bilateral involvement, management options include conservative or surgical approaches. We present the case of a 13-year-old with congenital chyluria, treated with robot- assisted staged reno-lymphatic disconnection after failed interventional radiolo gy. Bilateral scleroangiography followed, leading to persistently milky urine fo r a month.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to news originating from Jiangxi, People’ s Republic of China, by NewsRx correspondents, research stated, “Lymphangiogenes is (LYM) has an important role in tumor progression and is strongly associated w ith tumor metastasis. However, the clinical application of LYM has not progresse d as expected.” Our news journalists obtained a quote from the research from the Second Affiliat ed Hospital of Nanchang University, “The potential value of LYM needs to be furt her developed in lung adenocarcinoma (LUAD) patients. The Sequencing data and cl inical characteristics of LUAD patients were downloaded from The Cancer Genome A tlas and GEO databases. Multiple machine learning algorithms were used to screen feature genes and develop the LYM index. Immune cell infiltration, immune check point expression, Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and dr ug sensitivity analysis were used to explore the correlation of LYM index with i mmune profile and anti-tumor therapy. We screened four lymphangiogenic feature g enes (PECAM1, TIMP1, CXCL5 and PDGFB) to construct LYM index based on multiple m achine learning algorithms. We divided LUAD patients into the high LYM index gro up and the low LYM index group based on the median LYM index. LYM index is a ris k factor for the prognosis of LUAD patients. In addition, there was a significan t difference in immune profile between high LYM index and low LYM index groups. LUAD patients in the low LYM index group seemed to benefit more from immunothera py based on the results of TIDE algorithm.”
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 Hanoi, Vietnam, by NewsRx jou rnalists, research stated, “This paper focuses on implementing a Fleet Managemen t System (FMS) in hospitals, using autonomous mobile delivery robots. The primar y aim is to enhance efficiency and alleviate the workload of healthcare staff.” Financial support for this research came from Hanoi University of Science and Te chnology (HUST).
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 robotic s. According to news originating from Baghdad,Iraq, by NewsRx editors, the rese arch stated, “In this study, Active Disturbance Rejection Control (ADRC) has bee n designed for motion control of knee-joint based on exoskeleton medical robot.” The news correspondents obtained a quote from the research from Middle Technical University: “The extended state observer (ESO) is the main part of ADRC structu re, which is responsible for estimating both actual states and system uncertaint ies. The proposed control scheme has adopted two versions of observers as distur bance estimators: linear extended state observer (LESO) and nonlinear extended s tate observer (NESO). The efficacy of proposed ADRC is strongly related to the p erformance of used ESO. As such, a comparison study has been conducted to evalua te the performance of two ADRCs in terms of disturbance-rejection capability and robustness to variation in system parameters under two version of ESO (LSO and NLESO). In order to enhance the dynamic performance of ADRC, Particle Swarm Opti mization (PSO) algorithm has been used to optimally tune the design parameters o f control scheme. To show the effectiveness of proposed LESO-based ADRC and NLES O-based ADRC, numerical simulation have been conducted.”
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