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    New Artificial Intelligence Study Findings Have Been Published by a Researcher a t Alexandru Ioan Cuza University (Assessing the Impact of Artificial Intelligenc e Tools on Employee Productivity: Insights from a Comprehensive Survey Analysis)

    104-104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 artificial in telligence. According to news originating from Iasi, Romania, by NewsRx editors, the research stated, “This study provides a nuanced understanding of AI’s impac t on productivity and employment using machine learning models and Bayesian Netw ork Analysis.” Our news editors obtained a quote from the research from Alexandru Ioan Cuza Uni versity: “Data from 233 employees across various industries were analyzed using logistic regression, Random Forest, and XGBoost, with 5-fold cross-validation. T he findings reveal that high levels of AI tool usage and integration within orga nizational workflows significantly enhance productivity, particularly among youn ger employees. A significant interaction between AI tools usage and integration (b = 0.4319, p <0.001) further emphasizes the importance o f comprehensive AI adoption.” According to the news editors, the research concluded: “Bayesian Network Analysi s highlights complex interdependencies between AI usage, innovation, and employe e characteristics. This study confirms that strategic AI integration, along with targeted training programs and ethical frameworks, is essential for maximizing AI’s economic potential.”
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    University of Surrey Reports Findings in Artificial Intelligence (Artificial int elligence driven definition of food preference endotypes in UK Biobank volunteer s is associated with distinctive health outcomes and blood based metabolomic and ...)

    104-105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 Artificial Intelligenc e is the subject of a report. According to news reporting out of Guildford, Unit ed Kingdom, by NewsRx editors, research stated, “Specific food preferences can d etermine an individual’s dietary patterns and therefore, may be associated with certain health risks and benefits. Using food preference questionnaire (FPQ) dat a from a subset comprising over 180,000 UK Biobank participants, we employed Lat ent Profile Analysis (LPA) approach to identify the main patterns or profiles am ong participants. blood biochemistry across groups/profiles was compared using t he non-parametric Kruskal-Wallis test.” Financial supporters for this research include University of Surrey, Lembaga Pen gelola Dana Pendidikan.
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    Studies Conducted at Omsk State Technical University on Robotics Recently Publis hed (Overcoming dead-end situations of synthesis of motions of anthropomorphic r obots on the basis of the use of motions of the clutch axis along the linear sur face ...)

    106-106页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on robotics is now available. Accordi ng to news reporting out of Omsk State Technical University by NewsRx editors, r esearch stated, “An algorithm for synthesizing hand motions of anthropomorphic r obots by velocity vector during the installation of objects of manipulation give n, in the form of rectangular prisms in a container, is proposed.” The news reporters obtained a quote from the research from Omsk State Technical University: “The algorithm makes it possible to solve deadlock situations in com puter simulation of motions. The essence of the method consists in the use of ha nd motions, at which the axis of the clash carrier moves and forms with some app roximation a rulered surface, which specifies the body angle of service. For thi s purpose, it is proposed to use a database of configurations that specify certa in positions of the output link centre and of the accumulation carrier axes whic h coincide with the above-mentioned line surfaces.”
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    Polytechnic University of Bari Reports Findings in Adenocarcinoma (A time-depend ent explainable radiomic analysis from the multiomic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma)

    106-107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 Oncology - Adenocarcin oma is the subject of a report. According to news reporting from Bari, Italy, by NewsRx journalists, research stated, “In Pancreatic Ductal Adenocarcinoma (PDA) , multi-omic models are emerging to answer unmet clinical needs to derive novel quantitative prognostic factors. We realized a pipeline that relies on survival machine-learning (SML) classifiers and explainability based on patients’ follow- up (FU) to stratify prognosis from the public-available multi-omic datasets of t he CPTAC-PDA project.”
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    First Affiliated Hospital of Guangxi Medical University Researcher Describes Adv ances in Artificial Intelligence (Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites)

    108-108页
    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 artific ial intelligence. According to news reporting originating from Guangxi, People’s Republic of China, by NewsRx correspondents, research stated, “To evaluate the alarm notification of artificial intelligence in detecting parasites on the KU-F 40 Fully Automatic Feces Analyzer and provide a reference for clinical diagnosis in parasite diseases.” The news correspondents obtained a quote from the research from First Affiliated Hospital of Guangxi Medical University: “A total of 1030 fecal specimens from p atients in our hospital from May to June 2023 were collected, and parasite detec tion studies were conducted using the KU-F40 automated feces analyzer (normal mo de method, floating-sedimentation mode method), acid-ether sedimentation method, and direct smear microscopy method, respectively. The positive detection rate o f parasites in the 1030 fecal specimens was 22.9% (236 cases), of which the KU-F40 normal mode method had a detection rate of 16.3% (168 cases), the acid-ether sedimentation method had a detection rate of 19.0% (196 cases), and the direct smear microscopy method had a detection rate of 13.1 % (135 cases). The detection rates of the first 2 methods were hig her than those of the direct smear microscopy method, and the difference was sta tistically significant (P <.05). The detection rate of the KU-F40 floating-sediment ation mode method was 11.9% (123 cases), which was lower than that of the direct smear microscopy, and the difference was not statistically signif icant (P > .05). The sensitivity of the KU-F40 normal mode metho d, acid-ether sedimentation method, direct smear microscopy method, and the KU-F 40 floating-sedimentation mode method were 71.2%, 83.1% , 57.2%, and 52.1%, respectively, and the specificity was 94.7%, 100%, 100%, and 97.7% , respectively. The coincidence rates of the KU-F40 normal mode method was 90.78 %, with Kappa values of 0.633.”
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    Researcher from Anhui Agricultural University Reports Details of New Studies and Findings in the Area of Machine Learning (Comprehensive Review and Assessment o f Computational Methods for Prediction of N6-Methyladenosine Sites)

    109-109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 ar tificial intelligence. According to news reporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “N6-methyladenosine (m6A) pla ys a crucial regulatory role in the control of cellular functions and gene expre ssion.” Funders for this research include National Natural Science Foundation of China; University Synergy Innovation Program of Anhui Province; Natural Science Foundat ion of Anhui Province.
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    Studies from Armed Forces Institute of Dentistry Further Understanding of Artifi cial Intelligence (Comparison of semi and fully automated artificial intelligenc e driven softwares and manual system for cephalometric analysis)

    110-110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 originating from the Armed Forces Institute of Dentistry by NewsRx correspondents, research stated, “Cephalometri c analysis has been used as one of the main tools for orthodontic diagnosis and treatment planning. The analysis can be performed manually on acetate tracing sh eets, digitally by manual selection of landmarks or by recently introduced Artif icial Intelligence (AI)-driven tools or softwares that automatically detect land marks and analyze them.” The news journalists obtained a quote from the research from Armed Forces Instit ute of Dentistry: “The use of AI-driven tools is expected to avoid errors and ma ke it less time consuming with effective evaluation and high reproducibility. To conduct intra- and inter-group comparisons of the accuracy and reliability of c ephalometric tracing and evaluation done manually and with AI-driven tools that is WebCeph and CephX softwares. Digital and manual tracing of lateral cephalomet ric radiographs of 54 patients was done. 18 cephalometric parameters were assess ed on each radiograph by 3 methods, manual method and by using semi (WebCeph) an d fully automatic softwares (Ceph X). Each parameter was assessed by two investi gators using these three methods. SPSS was then used to assess the differences i n values of cephalometric variables between investigators, between softwares, be tween human investigator means and software means. ICC and paired T test were us ed for intra-group comparisons while ANOVA and post-hoc were used for inter-grou p comparisons. Twelve out of eighteen variables had high intra-group correlation and significant ICC p-values, 5 variables had relatively lower values and only one variable (SNO) had significantly low ICC value. Fifteen out of eighteen vari ables had minimal detection error using fully-automatic method of cephalometric analysis. Only three variables had lowest detection error using semi-automatic m ethod of cephalometric analysis. Inter-group comparison revealed significant dif ference between three methods for eight variables; Witts, NLA, SNGoGn, Y-Axis, J araback, SNO, MMA and McNamara to Point A.”
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    Reports on Machine Learning Findings from University of Delaware Provide New Ins ights (A Framework for Enhancing Social Media Misinformation Detection with Topi cal-Tactics)

    111-111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 artificial intelligence are presented in a new report. According to news originating from Newark, Delawa re, by NewsRx correspondents, research stated, “Recent years have seen advanceme nts in machine learning methods for the detection of misinformation on social me dia.” Our news editors obtained a quote from the research from University of Delaware: “Yet, these methods still often ignore or improperly incorporate key informatio n on the topical-tactics used by misinformation agents. To what extent does this affect the (non)detection of misinformation? We investigate how supervised mach ine learning approaches can be enhanced to better detect misinformation on socia l media. Our aim in this regard is to enhance the abilities of academics and pra ctitioners to understand, anticipate, and preempt the sources and impacts of mis information on the web. To do so, this article leverages a large sample of verif ied Russian state-based misinformation tweets and non-misinformation tweets from Twitter. It first assesses standard supervised approaches for detecting Twitter -based misinformation both quantitatively (with respect to classification) and q ualitatively (with respect to topical-tactics of Russian misinformation).”
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    Findings on Machine Learning Discussed by Investigators at Autonomous University of Baja California (Data-drive-based Machine Learning and Singular Spectrum Ana lysis To Identify Optical Patterns In Harsh Environments)

    112-112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 Machine Learning is th e subject of a report. According to news originating from Mexicali, Mexico, by N ewsRx correspondents, research stated, “This article proposes an enhancement of a singular spectrum analysis (SSA) technique based on Hilbert matrix (SSA-H) for autonomous navigation systems in a harsh environment. SSA is a technique that h as caught the attention of different fields and is used to extract trends and pa tterns in the time series domain.” Our news journalists obtained a quote from the research from the Autonomous Univ ersity of Baja California, “In this work, SSA-H is used to transform raw optical signals into meaningful information to build machine learning (ML) models. A te chnical vision system (TVS) with laser scanning for depth measurements is presen ted. According to the implementation of the TVS outdoors, some particular issues , such as interference radiation detected by its photodiode, can affect the syst em’s performance in determining depth measurements. This research extracts the l aser beam patterns in a real environment to create ML models to solve the proble m and address some of the technical challenges in a real environment. The main c ontribution of this work is designing an ML framework for recognizing the laser beam of the TVS based on SSA-H. Furthermore, a comparative analysis of ML techni ques to discriminate sunlight interference was studied and compared with differe nt configurations of SSA known in the literature.”
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    Research from Lincoln University Provides New Study Findings on Machine Learning (A Machine Learning Pipeline for Predicting Pinot Noir Wine Quality from Viticu lture Data: Development and Implementation)

    113-114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 ar tificial intelligence. According to news originating from Lincoln, New Zealand, by NewsRx correspondents, research stated, “The quality of wine depends upon the quality of the grapes, which, in turn, are affected by different viticulture as pects and the climate during the grape-growing season. Obtaining wine profession als’ judgments of the intrinsic qualities of selected wine products is a time-co nsuming task.” Funders for this research include Bragato Research Institute, New Zealand.
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