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    New Artificial Intelligence Research from South-West University Described (AI in Accounting: Insights from a Bibliometric Analysis)

    67-67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 artificial in telligence have been published. According to news originating from Blagoevgrad, Bulgaria, by NewsRx correspondents, research stated, “Artificial intelligence ha s ushered in a new era of technological innovation, fundamentally transforming v arious sectors, including accounting. As businesses increasingly operate in a da ta-driven environment, the demand for real-time financial analysis and predictiv e insights has surged.” The news correspondents obtained a quote from the research from South-West Unive rsity: “This study aims to perform a bibliometric literature analysis focusing o n significant literature, countries, authors, keywords, thematic evolution, cita tions, and documents, which researchers can reference in future studies related to the implementation of AI in accounting. VOSviewer software tool is used to cr eate various maps based on the bibliographic data. The dataset was extracted fro m the Scopus database. Citation analysis, bibliographic coupling analysis, co-ci tation analysis, and co-occurrence analysis of author keywords are conducted. Th e analysis shows a sharp increase in research on AI and accounting from 2019, wi th 72 publications in 2023 and 66 publications by mid-2024, indicating rising in terest and progress in this field. The bibliometric analysis reveals the dominan t role of the United States in AI and accounting research.”
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    Anhui University of Chinese Medicine Reports Findings in Crohn’s Disease (Predic tion of Crohn’s disease based on deep feature recognition)

    67-68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 Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Crohn’s disease is a complex genetic disease that involves ch ronic gastrointestinal inflammation and results from a complex set of genetic, e nvironmental, and immunological factors. By analyzing data from the human microb iome, genetic information can be used to predict Crohn’s disease.” Our news journalists obtained a quote from the research from the Anhui Universit y of Chinese Medicine, “Recent advances in deep learning have demonstrated its e ffectiveness in feature extraction and the use of deep learning to decode geneti c information for disease prediction. In this paper, we present a deep learning- based model that utilizes a sequential convolutional attention network (SCAN) fo r feature extraction, incorporates adaptive additive interval losses to enhance these features, and employs support vector machines (SVM) for classification. To address the challenge of unbalanced Crohn’s disease samples, we propose a rando m noise one-hot encoding data augmentation method. Data augmentation with random noise accelerates training convergence, while SCAN-SVM effectively extracts fea tures with adaptive additive interval loss enhancing differentiation. Our approa ch outperforms benchmark methods, achieving an average accuracy of 0.80 and a ka ppa value of 0.76, and we validate the effectiveness of feature enhancement.”
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    Studies from Sun Yat-sen University Update Current Data on Fatigue (An Electromy ographic-based Control Using Gaussian Mixture Model On an Upper-limb Cable-drive n Rehabilitation Robot)

    68-69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 Fa tigue. According to news reporting originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Electromyographic (EMG)-ba sed admittance control by arm force can provide continuous motion control in rob ot-assisted rehabilitation. Natural and complex physical human-robot interaction s utilizing intelligent EMG-based interfaces require a computational estimation model for 3D voluntary forces.”
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    Researchers from Kazimierz Wielki University Report on Findings in Artificial In telligence (Digital Twins In 3d Printing Processes Using Artificial Intelligence )

    69-70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 Artificial In telligence have been published. According to news reporting from Bydgoszcz, Pola nd, by NewsRx journalists, research stated, “Digital twins (DTs) provide accurat e, data-driven, real-time modeling to create a digital representation of the phy sical world. The integration of new technologies, such as virtual/mixed reality, artificial intelligence, and DTs, enables modeling and research into ways to ac hieve better sustainability, greater efficiency, and improved safety in Industry 4.0/5.0 technologies.”Funders for this research include Polish Minister of Science under the “Regional Initiative of Excellence”, Bydgoszcz University of Science and Technology.
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    University of Nicosia Researchers Provide New Data on Machine Learning (Machine Learning Methods in Tasks Load Balancing Between IoT Devices and the Cloud)

    70-71页
    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 out of Nicosia, Cyprus, by NewsRx editors, research stated, “Nowadays, with the ongoing, wide scale digitization and development of AI in pursuit of automation, the IoT industry becomes one of the very important parts in this process.” Financial supporters for this research include National Center of Research And D evelopment (Ncbir), Poland, Security Framework For 5G Network Based on Multiple Providers (Mpsec5g) Multiple Providers Security Framework on 5G Network.
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    Amsterdam University Medical Center Reports Findings in Pancreatoduodenectomy (T ransatlantic differences in the use and outcome of minimally invasive pancreatod uodenectomy: an international multi-registry analysis)

    71-72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 Surgery - Pancreatoduo denectomy is the subject of a report. According to news reporting originating fr om Amsterdam, Netherlands, by NewsRx correspondents, research stated, “Minimally invasive pancreatoduodenectomy (MIPD) has emerged as an alternative to open pan creatoduodenectomy (OPD). However, the extent of variation in the use and outcom es of MIPD in relation to OPD among countries is unclear as international studie s using registry data are lacking.” Our news editors obtained a quote from the research from Amsterdam University Me dical Center, “This study aimed to investigate the use, patient selection, and o utcomes of MIPD and OPD in four transatlantic audits for pancreatic surgery. A p ost hoc comparative analysis including consecutive patients after MIPD and OPD f rom four nationwide and multicenter pancreatic surgery audits from North America , Germany, the Netherlands, and Sweden (2014-2020). Patient factors related to M IPD were identified using multivariable logistic regression. Outcome analyses ex cluded the Swedish audit because <100 MIPD were performed during the studied period. Overall, 44,076 patients who underwent pancreatoduode nectomy were included (29,107 North America, 7586 Germany, 4970 the Netherlands, and 2413 Sweden), including 3328 MIPD procedures (8%). The use of MIPD varied widely among countries (absolute largest difference [ALD] 17%, p<0.001): 7% North America, 4% Germany, 17% the Netherlands, and 0.1% Sweden. Over time, the use of MIPD increased in North America and the Netherlands (p <0.001), mostly driven by robotic MIPD, but not in Germany (p = 0.297). Patient factors predicting the use of MIPD included country, later year of operation, better performance status, high POPF -risk score, no vascular resection, and nonmalignant indication. Conversion rat es were higher in laparoscopic MIPD (range 28-45%), compared to rob otic MIPD (range 9-37%). In-hospital/30-day mortality differed amon g North America, Germany, and the Netherlands; MIPD (2%, 7% , 4%; ALD 5%, p<0.001) and OPD ( 2%, 5%, 3%; ALD 3%, p<0.001), similar to major morbidity; MIPD (25%, 42%, 3 8%, ALD 17%, p<0.001) and OPD (2 5%, 31%, 30%, ALD 6%, p<0.001), respectively. Considerable differences were found in the use and outcom e, including conversion and mortality rates, of MIPD and OPD among four transatl antic audits for pancreatic surgery.”
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    New Findings from Technical University of Liberec Describe Advances in Machine L earning (Machine Learning in Small and Medium-Sized Enterprises, Methodology for the Estimation of the Production Time)

    72-73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 artificial intelligence. According to news reporting from Liberec, Czech Republi c, by NewsRx journalists, research stated, “Data mining (DM) and machine learnin g (ML) are widely used in production planning and scheduling. Their application to production time estimation leads to improved planning and scheduling accuracy , resulting in increased overall efficiency.” Funders for this research include Institutional Endowment For The Long-term Conc eptual Development of Research Institutes.
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    Data on Robotics Described by Researchers at Yale University (Robots That Evolve On Demand)

    73-74页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics have been publi shed. According to news reporting originating in New Haven, Connecticut, by News Rx journalists, research stated, “Now more than ever, researchers are rethinking the way robots are designed and controlled - from the algorithms that govern th eir actions to the very atomic structure of the materials they are made from. In this Perspective, we collect and comment on recent efforts towards multipurpose machines that use shape-morphing materials and components to adapt to changing environments.” Funders for this research include Office of Naval Research, National Science Fou ndation (NSF), Branco Weiss Fellowship - Society in Science -ETH Zurich.
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    Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medic ine Reports Findings in Personalized Medicine (A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort s tudy ...)

    74-75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 Drugs and Therapies - Personalized Medicine is the subject of a report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research st ated, “Endometriosis (EMs) and adenomyosis (AD) are common gynecological disease s that impact women’s health, and they share symptoms such as dysmenorrhea, chro nic pain, and infertility, which adversely affect women’s quality of life. Curre nt diagnostic approaches for EMs and AD involve invasive surgical procedures, an d thus, methods of noninvasive differentiation between EMs and AD are needed.” Our news journalists obtained a quote from the research from the Shuguang Hospit al Affiliated to Shanghai University of Traditional Chinese Medicine, “This retr ospective cohort study introduces a novel, noninvasive classification methodolog y employing a stacked ensemble machine learning (ML) model that utilizes periphe ral blood and coagulation markers to distinguish between EMs and AD. The study i ncluded a total of 558 patients (329 with EMs and 229 with AD), in whom key hema tological and coagulation markers were analyzed to identify distinctive profiles . Feature selection was conducted through ML (logistic regression, support vecto r machine, and K-nearest neighbors) to determine significant hematological marke rs. Red cell distribution width, mean corpuscular hemoglobin concentration, acti vated partial thromboplastin time, international normalized ratio, and antithrom bin III were proved to be the key distinguishing indexes for disease differentia tion. Among all the ML classification models developed, the stacked ensemble mod el demonstrated superior performance (area under the curve = 0.803, 95% credibility interval = 0.701-0.904). Our findings demonstrate the effectiveness of the stacked ensemble ML model for classifying EMs and AD. Integrating biomark ers into this multi-algorithm framework offers a novel approach to noninvasive d iagnosis.”
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    New Findings in Robotics Described from Technological University (Implementing a Vision-Based ROS Package for Reliable Part Localization and Displacement from C onveyor Belts)

    75-76页
    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 originating from Athlone, Ireland, by NewsRx corr espondents, research stated, “The use of computer vision in the industry has bec ome fundamental, playing an essential role in areas such as quality control and inspection, object recognition/tracking, and automation.” The news correspondents obtained a quote from the research from Technological Un iversity: “Despite this constant growth, robotic cell systems employing computer vision encounter significant challenges, such as a lack of flexibility to adapt to different tasks or types of objects, necessitating extensive adjustments eac h time a change is required. This highlights the importance of developing a syst em that can be easily reused and reconfigured to address these challenges. This paper introduces a versatile and adaptable framework that exploits Computer Visi on and the Robot Operating System (ROS) to facilitate pick-andplace operations within robotic cells, offering a comprehensive solution for handling and sorting randomflow objects on conveyor belts. Designed to be easily configured and rec onfigured, it accommodates ROS-compatible robotic arms and 3D vision systems, en suring adaptability to different technological requirements and reducing deploym ent costs.”
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