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    Studies from Chengde Medical University Update Current Data on Machine Learning (Machine Learning-driven Ag/sio 2 /cu/rice Leaf Sers Platform for Intelligent Identification of Pharmacodynamic Substances)

    79-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Hebei, People’s Repub lic of China, by NewsRx editors, research stated, “The combination of surface-en hanced Raman scattering (SERS) and machine learning algorithm provides an effect ive means for the identification of pharmacodynamic substances. This paper repor ted a biomimetic synthesis route of Ag-30/SiO 2 -4/Cu-20/rice leaf (Ag-30/SiO 2 -4/Cu-20/RL) SERS platform with multiple synergistic electromagnetic enhanced pe rformance.”

    Mahidol University Reports Findings in Robotics (Sensorless Based Haptic Feedback Integration In Robot-assisted Pedicle Screw Insertion For Lumbar Spine Surgery : A preliminary cadaveric study)

    80-80页
    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 from Nakorn Panom, Thailand, by NewsR x journalists, research stated, “Pedicle screw fixation is an essential surgical technique for addressing various spinal pathologies, including degenerative dis eases, trauma, tumors, neoplasms, and infections. Despite its efficacy, the proc edure poses significant challenges, notably the limited visibility of spinal ana tomical landmarks and the consequent reliance on surgeon’s hand-eye coordination .”

    Study Data from Polytechnic University of Turin Update Understanding of Robotics (Embedded Model Control of Networked Control Systems: an Experimental Robotic Application)

    81-81页
    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 originating from Turin, Italy, by NewsRx corr espondents, research stated, “In Networked Control System (NCS), the absence of physical communication links in the loop leads to relevant issues, such as measu rement delays and asynchronous execution of the control commands. In general, these issues may significantly compromise the performance of the NCS, possibly causing unstable behaviours.”

    Karolinska University Hospital Reports Findings in Post-Operative Pain (Postoper ative pain, recovery and discharge after robotassisted laparoscopic prostatecto my: A multicentre, single blinded, randomised controlled trial)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Post-Operative Pain is the subject of a report. According to news reporting originating in Stockholm, Sweden, by NewsRx journalists, research stated, “General anaesthesia is standard of care for patients undergoing robot assisted laparoscopic prostatectomy (RALP ). However, postoperative pain and bladder discomfort remains an issue, and opti mising pain management could improve recovery and promote earlier home discharge .”

    Studies from Western University of Health Sciences in the Area of Artificial Intelligence Described (Effectiveness of Chatgpt In Clinical Pharmacy and the Role of Artificial Intelligence In Medication Therapy Management)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Artificial Intelligen ce have been presented. According to news originating from Pomona, California, by NewsRx correspondents, research stated, “The use of artificial intelligence (A I) to optimize medication therapy management (MTM) in identifying drug interactions may potentially improve MTM efficiency. ChatGPT, an AI language model, may b e applied to identify medication interventions by integrating patient and drug databases.”

    Investigators at Department of Mechanical Engineering Detail Findings in Robotics [Non-planar Material-extrusion Additive Manufacturing of Mu ltifunctional Sandwich Structures Using Carbonreinforced Polyetheretherketone ( Peek)]

    84-85页
    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 from Montreal, Canada, by NewsRx journalists , research stated, “Additive Manufacturing (AM), and especially Material -Extrus ion Additive Manufacturing (MEAM), can provide light structures with high mechan ical performances for aerospace applications using fiber reinforced hightemperat ure resistant thermoplastics (HTRT). Non -planar AM allows to manufacture curved parts with a better approximation of their curvature than cartesian AM.”

    Sichuan University Reports Findings in Delirium (Interpretable machine learning model for early prediction of delirium in elderly patients following intensive c are unit admission: a derivation and validation study)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nervous System Disease s and Conditions - Delirium is the subject of a report. According to news report ing from Chengdu, People’s Republic of China, by NewsRx journalists, research st ated, “Delirium is the most common neuropsychological complication among older a dults admitted to the intensive care unit (ICU) and is often associated with a poor prognosis. This study aimed to construct and validate an interpretable machi ne learning (ML) for early delirium prediction in older ICU patients.”

    Studies from Hunan University of Finance & Economics Update Current Data on Machine Learning (An Advanced Framework for Net Electricity Consumption Prediction: Incorporating Novel Machine Learning Models and Optimization Algorithms)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news originating from Hunan, People’s Republic of China, by Ne wsRx correspondents, research stated, “In recent years, the escalating demand fo r electric energy has underscored the need for robust prediction models capable of accurately anticipating consumption patterns. The imperative lies in enabling utilities and policymakers to optimize resource allocation, strategically plan infrastructure development, and ensure the stability and efficiency of the power grid.”

    Studies from Loughborough University in the Area of Machine Learning Described ( A Machine Learning-enabled Prediction of Damage Properties for Fiber-reinforced Polymer Composites Under Out-of-plane Loading)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Loughborough, United Kingdo m, by NewsRx editors, research stated, “For understanding the damage morphology in fiber-reinforced plastics under out-of-plane loading, engineers/ and designer s mostly rely on experimental investigations and numerical models, which could b e costly in terms of resources and computational requirements. Thus, pragmatic p redictive approaches that can offer ready-to-use tools for material optimization have gained traction in recent years.”

    Researchers at Harbin Institute of Technology Target Robotics (A Review of Somatic Design for Soft Robotic Grippers: From Parts Integration To Functional Synergy)

    88-89页
    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 originating from Heilongjiang, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Somatic design is crucial for s oft grippers to emulate the embodied intelligence of their biological counterpar ts, due to the blurry boundaries among material, structure, and function. There are five critical parts in somatic design, including morphology, material, fabri cation, actuation, and variable stiffness.”