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    New Machine Learning Study Results Reported from Radboud University Nijmegen (Machine Learning Analysis of the T Cell Receptor Repertoire Identifies Sequence Features of Self-reactivity)

    97-98页
    查看更多>>摘要：A new study on Machine Learning is now available. According to news originating from Nijmegen, Netherlands, by NewsRx correspondents, research stated, “The T cell receptor (TCR) determines specificity and affinity for both foreign and self-peptides presented by the major histocompatibility complex (MHC). Although the strength of TCR interactions with self-pMHC impacts T cell function, it has been challenging to identify TCR sequence features that predict T cell fate.” Financial supporters for this research include Canadian Institutes of Health Research (CIHR), Tomlinson Doctoral Fellowship (McGill University), Natural Sciences and Engineering Research Council of Canada (NSERC), Natural Sciences and Engineering Research Council of Canada (NSERC), McGill start-up fund, Canadian Institutes of Health Research (CIHR), Netherlands Organization for Scientific Research (NWO), German Research Foundation (DFG), University of Lubeck.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    University of Genova Reports Findings in Robotics (Review of robotic surgery platforms and end effectors)

    98-99页
    查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting originating in Genoa, Italy, by NewsRx journalists, research stated, “In the last 50 years, the number of companies producing automated devices for surgical operations has grown extensively. The population started to be more confident about the technology capabilities.” Financial support for this research came from Universita degli Studi di Genova. The news reporters obtained a quote from the research from the University of Genova, “The first patents related to surgical robotics are expiring and this knowledge is becoming a common base for the development of future surgical robotics. The review describes some of the most popular companies manufacturing surgical robots. The list of the company does not pretend to be exhaustive but wishes to give an overview of the sector. Due to space constraints, only a limited selction of companies is reported. Most of the companies described are born in America or Europe. Advantages and limitations of each product firm are described. A special focus is given to the end effectors; their shape and dexterity are crucial for the positive outcome of the surgical operations. New robots are developed every year, and existing robots are allowed to perform a wider range of procedures.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Findings from Hangzhou Dianzi University Update Knowledge of Machine Learning (Optimizing Magnetoelastic Properties By Machine Learning and High-throughput Micromagnetic Simulation)

    99-100页
    查看更多>>摘要：Current study results on Machine Learning have been published. According to news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Magnetoelastic couplings in giant magnetostrictive materials (GMMs) attract significant interests due to their extensive applications in the fields of spintronics and energy harvesting devices. Understanding the role of the selection of materials and the response to external fields is essential for attaining desired functionality of a GMM.” Funders for this research include Key R&D Program of China, National Key R&D Program of China, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Zhejiang Province. Our news editors obtained a quote from the research from Hangzhou Dianzi University, “Herein, machine learning (ML) models are conducted to predict saturation magnetostrictions (lambda(s)) in RFe2-type (R = rare earth) GMMs with different compositions. According to ML-predicted composition-lambda(s) relations, it is discovered that the values of lambda(s) higher than 1100 x 10(-6) are almost situated in the composition space surrounded by 0.26 ＜= x＜= 0.60 and 1.90 ＜= y＜= 2.00 for the ternary compounds of TbxDy1-xFey. Assisted by ML predictions, the compositions are further narrowed down to the space surrounded by 0.26 ＜= x＜= 0.32 and 1.92 ＜= y＜= 1.97 for the excellent piezomagnetic (PM) performance in the TbxDy1-xFey-based PM device through our developed high-throughput (HTP) micromagnetic simulation (MMS) algorithm. Accordingly, high sensitivities up to 10.22-13.61 mT ＜middle dot ＞MPa-1 are observed in the optimized range within which the available experimental data fall well.”
      原文链接:
    • NETL
    • NSTL
    • Nonferrous Metals Soc China

    Studies from China University of Mining and Technology Update Current Data on Machine Learning (Fire Source Determination Method for Underground Commercial Streets Based on Perception Data and Machine Learning)

    100-100页
    查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Determining fire source in underground commercial street fires is critical for fire analysis.” Funders for this research include Jiangsu Provincial Department of Science And Technology; Shenzhen City General Program; Science And Technology Plan Project of The Fire And Rescue Administration of The Ministry of Emergency Management. Our news reporters obtained a quote from the research from China University of Mining and Technology: “This paper proposes a method based on temperature and machine learning to determine information about fire source in underground commercial street fires. Data was obtained through consolidated fire and smoke transport (CFAST) software, and a fire database was established based on the sampling to ascertain fire scenarios. Temperature time series were chosen for feature processing, and three machine learning models for fire source determination were established: decision tree, random forest, and LightGBM. The results indicated that the trained models can determine fire source information based on processed features, achieving a precision exceeding 95%.”
      原文链接:
    • NETL
    • NSTL
    • Mdpi

    University Hospital Rio Hortega Reports Findings in Personalized Medicine (Ethics and artificial intelligence)

    101-101页
    查看更多>>摘要：New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting originating from Valladolid, Spain, by NewsRx correspondents, research stated, “The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics in medical artificial intelligence (AI) involves ensuring that technologies are safe, fair, and respect patient privacy.” Our news editors obtained a quote from the research from University Hospital Rio Hortega, “This includes concerns about the accuracy of diagnoses provided by artificial intelligence, fairness in patient treatment, and protection of personal health data. Advances in artificial intelligence can significantly improve healthcare, from more accurate diagnoses to personalized treatments. However, it is essential that developments in medical artificial intelligence are carried out with strong ethical consideration, involving healthcare professionals, artificial intelligence experts, patients, and ethics specialists to guide and oversee their implementation.”
      原文链接:
    • NETL
    • NSTL

    New Robotics Research Has Been Reported by Researchers at Technical University (Experimental investigations on the compaction energy for a robotic rammed earth process)

    101-102页
    查看更多>>摘要：New research on robotics is the subject of a new report. According to news reporting from Braunschweig, Germany, by NewsRx journalists, research stated, “Rammed earth is a construction material with a long history of traditional manufacturing.” The news journalists obtained a quote from the research from Technical University: “Due to its low environmental impact, positive impact on indoor climate and completely recyclable nature, its demand is also increasing in modern construction industry. However, as a consequence of the predominantly manual manufacturing processes, the production of rammed earth components is both inefficient and costly. Through the implementation of automated and robot-aided fabrication processes in the field of rammed earth construction, the opportunity to advance the digitalization of the field can raise to a new level. In this paper, general studies on the interrelation of process and material parameters and their influence on the compaction results were conducted as a basis for the development of a prototypic robotic manufacturing process. The results show that reducing the layer height can significantly decrease the impact energy. Additionally, it was shown that there is a minimum number of strokes and a minimum ramming frequency required for sufficient compaction.”
      原文链接:
    • NETL
    • NSTL
    • Frontiers Media Sa

    Research on Machine Learning Described by a Researcher at Yamagata University (Development of a Machine Learning Model to Predict the Color of Extruded Thermoplastic Resins)

    102-103页
    查看更多>>摘要：Research findings on artificial intelligence are discussed in a new report. According to news originating from Yamagata, Japan, by NewsRx editors, the research stated, “The conventional method for the color-matching process involves the compounding of polymers with pigments and then preparing plaques by using injection molding before measuring the color by an offline spectrophotometer.” The news correspondents obtained a quote from the research from Yamagata University: “If the color fails to meet the L*, a*, and b* standards, the color-matching process must be repeated. In this study, the aim is to develop a machine learning model that is capable of predicting offline color using data from inline color measurements, thereby significantly reducing the time that is required for the color-matching process. The inline color data were measured using an inline process spectrophotometer, while the offline color data were measured using a bench-top spectrophotometer. The results showed that the Bagging with Decision Tree Regression and Random Forest Regression can predict the offline color data with aggregated color differences (dE) of 10.87 and 10.75. Compared to other machine learning methods, Bagging with Decision Tree Regression and Random Forest Regression excel due to their robustness, ability to handle nonlinear relationships, and provision of insights into feature importance.”
      原文链接:
    • NETL
    • NSTL

    IRCCS Regina Elena National Cancer Institute Reports Findings in Urinary Diversion (Robot-assisted Radical Cystectomy with Totally Intracorporeal Urinary Diversion Versus Open Radical Cystectomy: 3-Year Outcomes from a Randomised Controlled ...)

    103-104页
    查看更多>>摘要：New research on Surgery - Urinary Diversion is the subject of a report. According to news reporting originating from Rome, Italy, by NewsRx correspondents, research stated, “Randomised controlled trials (RCTs) comparing open radical cystectomy (ORC) and robot-assisted RC (RARC) have involved an extracorporeal approach for urinary diversion (UD), undermining the potential benefits of a totally robotic procedure. Our objective was to compare 3-yr outcomes from a RCT comparing ORC to RARC with totally intracorporeal UD (iUD).” Our news editors obtained a quote from the research from IRCCS Regina Elena National Cancer Institute, “Patients with cT2-4 N0 M0 or bacillus Calmette-Guerin-failed high-grade non-muscle-invasive urothelial carcinoma who were candidates for RC without absolute contraindications to robotic surgery were included. A covariate adaptive randomisation process based on body mass index, American Society of Anesthesiologists score, preoperative haemoglobin, type of UD, neoadjuvant chemotherapy, and cT stage was used. The primary endpoint was to investigate the superiority of RARC with iUD in terms of a 50% reduction in transfusion rate. Secondary outcomes included adherence to an early recovery after surgery protocol, perioperative and postoperative outcomes, readmission and complication rates, a cost analysis, and functional, oncological, and health-related quality-of-life outcomes. Overall, 116 patients were enrolled. The primary endpoint was confirmed, as the overall perioperative transfusion rate was significantly lower in the RARC cohort, with an absolute risk reduction of 19% (95% confidence interval 2-36%; p = 0.046). No differences in perioperative and postoperative complications and 3-yr oncological outcomes were observed between the groups. Despite the superiority of ORC on quantitative analysis of night-time pad use, there were no differences in the probabilities of recovery of daytime and night-time continence. Body image was significantly better in the RARC cohort. Cost analysis confirmed that RARC is a more expensive surgical procedure. Our findings support RARC with iUD as a safe surgical option; the transfusion rate was reduced by 50% and the complication rates and 3-yr oncological outcomes were comparable to those with ORC. The minimally invasive nature of RARC was reflected in better body image perception in this cohort. The probabilities of daytime and night-time continence recovery were comparable between the groups. Higher costs remain a drawback of robotic surgery. This RCT demonstrated a 50% transfusions rate’s reduction compared to ORC. We confirmed safety and feasibility of RARC with i-UD providing comparable peri- and postoperative complication rates, as well as, 3yr oncologic outcomes to those of ORC.”
      原文链接:
    • NETL
    • NSTL

    Study Findings from University of Otago Broaden Understanding of Machine Translation (Online machine translation for L2 writing across languages and proficiency levels)

    104-105页
    查看更多>>摘要：New study results on machine translation have been published. According to news reporting originating from the University of Otago by NewsRx correspondents, research stated, “Using machine translation (MT) tools for language learning has become a common practice among language students in recent years.” Our news reporters obtained a quote from the research from University of Otago: “Studies have investigated how students use MT, how students and teachers perceive its benefits and drawbacks and how helpful it is for language learning. These studies indicate that students think MT tools are helpful in L2 writing due to their quick and easy access and use them in many aspects of L2 writing, such as vocabulary search, grammar checking, and writing revisions. However, concerns for the accuracy of outputs, the effectiveness of MT for language learn-ing and academic integrity are shared among students and teachers. This present study is based on a survey of 12 teachers and 150 students across five different languages and three proficiency levels at a tertiary institution in New Zealand. The quantitative and qualitative data were analysed to compare MT use and perceptions among proficiency levels and languages as well as between teachers and stu-dents. The findings reveal patterns that indicate different practices and perceptions between students of non-alphabet-based and alphabet-based languages.”
      原文链接:
    • NETL
    • NSTL

    Investigators from Visvesvaraya Technological University Release New Data on Machine Learning (Iaap: Interdependency Attribute Authentication Protocol for Iomt Systems Security Enhancement and Analysis)

    105-106页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting out of Belagavi, India, by NewsRx editors, research stated, “Internet has changed and evolved since its origin and in recent time the communication channel for the internet has developed a flexible system design to accommodate newer devices and customized services. Internet of Medical Things (IoMT) is one such blooming service for larger data processing and customization.” Our news journalists obtained a quote from the research from Visvesvaraya Technological University, “In this paper, we propose a novel interdependency attribute protocol for authentication and enhancing security aspects of IoMT communication. The protocol is developed on remote monitoring and Message Queuing Telemetric Transport (MQTT) protocol foundation values to secure data transmission and communication via active public domain internet and cloud storage. The approach is developed on machine learning models for attribute customization and classification. The model has been validated with AWS open pipeline cloud platforms for IoMT devices customization.”
      原文链接:
    • NETL
    • NSTL