查看更多>>摘要：Current study results on Machine Learn ing have been published. According to news reporting from Quzhou, People's Repub lic of China, by NewsRx journalists, research stated, "2D magnetic materials wit h high spin polarization and Curie temperature are highly desirable for ultrathi n spintronic devices. This study utilizes first-principles methods to systematic ally investigate 225 O adsorption configurations, demonstrating that Cr2COx MXen e consistently maintains a long-range-ordered ferromagnetic arrangement with hig h spin polarization, irrespective of the O adsorption configuration." Funders for this research include National Natural Science Foundation of China ( NSFC), Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhe jiang Province. The news correspondents obtained a quote from the research from Quzhou Universit y, "Most configurations also display Curie temperature (T-C) exceeding room temp erature, with the possibility of further enhancement by reducing O coverage. Mac hine learning models are developed to accurately predict O adsorption configurat ions, exchange interaction energies, and T-C. A novel approach of stripping F an d OH groups to create Cr2COx on Cr-based MXene surfaces is proposed to address t he difficulty in achieving long-range-ordered magnetic structures by manipulatin g surface adsorbates in MXene."
查看更多>>摘要：New research on Oncology - Cervical Ca ncer is the subject of a report. According to news originating from Houston, Tex as, by NewsRx correspondents, research stated, "Hyperspectral photothermal mid-i nfrared spectroscopic imaging (HP-MIRSI) is an emerging technology with promisin g applications in cervical cancer diagnosis and quantitative, label-free histopa thology. This study pioneers the application of HP-MIRSI to the evaluation of cl inical cervical cancer tissues, achieving excellent tissue type segmentation acc uracy of over 95%." Financial supporters for this research include U.S. Department of Health and Hum an Services, U.S. Department of Health and Human Services, National Science Foun dation, U.S. Department of Health and Human Services, Cancer Prevention and Rese arch Institute of Texas.
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Msida, Malta, by NewsRx journalists, research stated, "Artificial intelligence (AI) is becoming increasingly implemented in radiology, especially in image reporting. P atients' perceptions about AI integration in medical imaging is a relatively une xplored area that has received limited investigation in the literature." The news reporters obtained a quote from the research from the University of Mal ta, "This study aimed to determine current knowledge and perceptions of patients in Malta towards AI application in medical imaging. A cross-sectional study usi ng a self-designed paper-based questionnaire, partly adapted with permission fro m two previous studies, was distributed in English or Maltese language amongst e ligible outpatients attending medical imaging examinations across public hospita ls in Malta and Gozo in March 2023. 280 questionnaires were analysed, resulting in a 5.83 % confidence interval. 42.1 % of patients indicated basic AI knowledge, while 36.4 % reported minimal to no knowledge. Responses indicated favourable opinions towards the collaborative int egration of humans and AI to improve healthcare. However, participants expressed preference for doctors to retain final-decision making when AI is used. For som e statements, a statistically significant association was observed between patie nts' perception of AIbased technology and their gender, age, and educational ba ckground. Essentially, 92.1 % expressed the importance of being in formed whenever AI is to be utilised in their care. As key stakeholders, patient s should be actively involved when AI technology is used. Informing patients abo ut the use of AI in medical imaging is important to cultivate trust, address eth ical concerns, and help ensure that AI integration in healthcare systems aligns with patients' values and needs. This study highlights the need to enhance AI li teracy amongst patients, possibly though awareness campaigns or educational prog rammes."
查看更多>>摘要：Fresh data on robotics are presented i n a new report. According to news originating from the Harbin Institute of Techn ology by NewsRx correspondents, research stated, "Metamorphic mechanisms that ca n adapt to a variety of working conditions with distinct configurations, have ga ined widespread attention in recent years." Funders for this research include Ministry of Science And Technology of The Peop le's Republic of China; National Natural Science Foundation of China. Our news correspondents obtained a quote from the research from Harbin Institute of Technology: "However, it's always difficult to design metamorphic mechanisms with various motion branches. In this paper, the evolution design of a family o f novel multiple metamorphic mechanisms is conducted by the inspiration from the concept of Assur group. Adopting some class II groups which are derived from th e combination of three basic links, a novel 7R multiple metamorphic mechanism is first presented and analyzed. Kinematic analysis illustrates that the mechanism contains totally 11 motion branches including three types of effective joints, i.e., non-overconstrained 7R motion branches, overconstrained 6R motion branches , and planar 4R motion branches. Reconfiguration analysis of the mechanism is pr esented by the kinematic curves, and it shows that there are totally ten bifurca tion points. Moreover, the transformations among all the motion branches are ana lyzed."
查看更多>>摘要：Current study results on artificial in telligence have been published. According to news reporting out of Pune, India, by NewsRx editors, research stated, "Wear is induced when two surfaces are in re lative motion." Funders for this research include University of Debrecen Program For Scientific Publication. The news reporters obtained a quote from the research from Vishwakarma Institute of Information Technology: "The wear phenomenon is mostly data-driven and affec ted by various parameters such as load, sliding velocity, sliding distance, inte rface temperature, surface roughness, etc. Hence, it is difficult to predict the wear rate of interacting surfaces from fundamental physics principles. The mach ine learning (ML) approach has not only made it possible to establish the relati on between the operating parameters and wear but also helps in predicting the be havior of the material in polymer tribological applications. In this study, an a ttempt is made to apply different machine learning algorithms to the experimenta l data for the prediction of the specific wear rate of glass-filled PTFE (Polyte trafluoroethylene) composite. Orthogonal array L25 is used for experimentation f or evaluating the specific wear rate of glass-filled PTFE with variations in the operating parameters such as applied load, sliding velocity, and sliding distan ce. The experimental data are analysed using ML algorithms such as linear regres sion (LR), gradient boosting (GB), and random forest (RF)."
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting out of Delhi, India, by NewsRx edito rs, research stated, "Comprehending the manifestation of emotional states in EEG signals is a well -established field of research spanning neuropsychology and b iomedical signal processing. Two main approaches exist for classifying emotions based on EEG data: (1) extracting features and employing machine learning algori thms, and (2) deep learning." Our news journalists obtained a quote from the research from Indira Gandhi Delhi Technical University for Women, "Machine learning faces the major challenge of poor accuracy due to low inter -class variability and low intra-class similarity and deep learning is challenged by the high computational cost. The authors hav e addressed the above challenges by devising a novel fractal based EEG feature e xtraction method so as to achieve better performance using machine learning thus avoiding high computational complexity (similar to deep learning). Fractal patt erns being capable of providing a measure of self similarity at different scales , have been used to capture EEG signal's intricate dynamics. These patterns bein g resistant to noise and artifacts, provide a better reflection of the underlyin g organization and complexity of brain activity caused due to different emotions . The above listed inherent capabilities make fractal pattern suitable for provi ng valuable insights into cognitive processes and neurological disorders. So, th e authors have explored fractal pattern for local feature generation from Tunabl e -Q Wavelet Transform (TQWT) features. Subsequently, a minimum redundancy and m aximum relevance (mRMR) selector is applied to select the most informative featu res. These selected features are then fed to established classification algorith ms for emotion recognition. The proposed framework is evaluated on two publicly available datasets, DEAP and DREAMER, achieving impressive accuracy rates of 95. 43% and 99.14%, respectively."
查看更多>>摘要：Fresh data on Robotics are presented i n a new report. According to news reporting out of Pasadena, California, by News Rx editors, research stated, "Caves on Mars are a tantalizing target for explora tion, as they could harbor evidence of extinct or extant life, clues to the plan et's geological history, and even potential future human habitation. However, th e inherent challenges of navigating unknown and challenging terrain, coupled wit h limited communication capabilities, pose significant obstacles for robotic exp loration in these caves." Financial supporters for this research include NASA PSTAR Program, USA, Jet Prop ulsion Laboratory, California Institute of Technology, USA, National Aeronautics & Space Administration (NASA).
查看更多>>摘要：Data detailed on Robotics have been pr esented. According to news reporting originating from Zhuhai, People's Republic of China, by NewsRx correspondents, research stated, "Here we present a new type of soft motors, termed Electric Field Induced Mechanical Flapping (EFIMF) motor s, which are robust and present versatile potential applications. The EFIMF moto rs harness an actuation mechanism that combines two processes: 1) using the elec tric field to induce charges, and 2) coupling the electromechanical forces to ac hieve fast and robust actuation." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from Sun Yat-sen University, "Our EFIMF motor can remain functional even with its electrode punctured by a m etal needle. The EFIMF motors also present the fault-tolerant capability, which helps them to survive the dielectric breakdown. We demonstrate a robust crawling soft robot, which is powered by one EFIMF motor and capable of surviving contin uous hammering. We also show a wearable haptic glove powered by five EFIMF motor s, generating rich notification signals with a wide frequency range and differen t mechanical feedback intensities."
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news originating from Massy, France, by NewsRx correspondents, research stated, "Smartwatch electrocardiograms (SW EC Gs) have been identified as a non-invasive solution to assess abnormal heart rhy thm, especially atrial arrhythmias (AAs) that are related to stroke risk. Howeve r, the performance of these tools is limited and could be improved with the use of deep neural network (DNN) algorithms, particularly for specific populations e ncountered in clinical cardiology practice." Our news journalists obtained a quote from the research from Institut Cardiovasc ulaire Paris Sud, "A total of 400 patients from the electrophysiology department of one tertiary care hospital were included in two similar clinical trials (res pectively, 200 patients per study). Simultaneous ECGs were recorded with the wat ch and a 12-lead recording system during consultation or before and after an ele ctrophysiology procedure if any. The SW ECGs were processed by using the DNN and with the Apple watch ECG software (Apple app). Corresponding 12-lead ECGs (12L ECGs) were adjudicated by an expert electrophysiologist. The performance of the DNN was assessed vs. the expert interpretation of the 12L ECG, and inconclusive rates were reported. Overall, the DNN and the Apple app presented, respectively, a sensitivity of 91% [95 % confid ence interval (CI) 85-95%] and 61% (95% CI 44-75%) with a specificity of 95% (95% CI 91-97 %) and 97% (95% CI 93-99%) when compared with the physician 12L ECG interpretation. The DNN was able to provide a diagnosis on 99% of ECGs, while the Apple app was able to classify only 78% of strips (22% of inconclusive diagnosis)."
查看更多>>摘要：New research on Robotics is the subjec t of a report. According to news reporting from Shaanxi, People's Republic of Ch ina, by NewsRx journalists, research stated, "Human-robot collaborative assembly can leverage the unique capabilities of humans and robots to provide a flexible and efficient way for complex tasks. In this context, robots are expected to be endowed with the perception ability to collaborate with humans." Financial supporters for this research include China Postdoctoral Science Founda tion, Natural Science Basic Research Program of Shaanxi Province, Scientists & Engineers Team Project of Shaanxi Province, China Scholarship Council.
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