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 Medellin, Col ombia, by NewsRx editors, the research stated, “The process of concrete producti on involves mixing cement, water, and other materials.” Financial supporters for this research include Minciencias Colombia. The news correspondents obtained a quote from the research from Universidad Pont ificia Bolivariana: “The quantity of each of these materials results in a perfor mance that is particularly estimated in terms of compressive or flexural strengt h. It has been observed that the final performance of concrete has a high varian ce and that traditional formulation methods do not guarantee consistent results. Consequently, designs tend to be over-designed, generating higher costs than re quired, to ensure the performance committed to the client. This study proposes t he construction of predictive machine learning models to estimate compressive or flexural strength and concrete slump. The study was carried out following the T eam Data Science Process (TDSP) methodology, using a dataset generated by the Co lombian Ready Mix (RMX) company Cementos Argos S.A. over five years, containing the quantity of materials used for different concrete mixes, as well as performa nce metrics measured in the laboratory.”
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 Nakorn Panom, Thailan d, by NewsRx editors, the research stated, “Collaborative writing, paired with A I feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices.” The news correspondents obtained a quote from the research from Mahidol Universi ty: “This study explores the influence of a three-step collaborative writing int ervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employ ing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach emp loyed a wiki-based collaborative writing strategy, integrating ChatGPT for writt en corrective feedback. The 10-week intervention encompassed three writing tasks , involving collaborative outlining, individual writing with AI feedback, and co llaborative writing. Statistical analyses, comprising the Wilcoxon Signed-Rank t est, Mann-Whitney U test, and Friedman test, revealed substantial improvements i n posttest scores for the experimental group in comparison to the control group. These findings underscore the positive impact of a collaborative writing interv ention improved by AI feedback on specific aspects of writing.”
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 reporting from Seoul, South Korea, by NewsRx journalists, research stated, “This study identifies a key cognitive mech anism through which information encountered by managers influences their pursuit of ambidexterity when implementing artificial intelligence (AI) in organisation s.” Financial supporters for this research include The National Research Foundation of Korea. Our news journalists obtained a quote from the research from Sogang University: “Additionally, it investigates the roles of managers’ understanding of technolog ical environments and risk-taking strategies of their organisations in this rela tionship. We conducted three studies with managers at the above-middle level. Th e results indicate that managers with situationally induced promotion focus tend to have greater opportunity appraisal (Studies 1, 2, and 3) and pursuit of ambi dexterity (Studies 2 and 3) compared to those with situationally induced prevent ion focus. Opportunity appraisal mediates the relationship between situationally induced regulatory focus and ambidexterity pursuit (Studies 2 and 3).”
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 Robotic s. According to news reporting out of Tampa, Florida, by NewsRx editors, researc h stated, “Achalasia is an esophageal motility disorder. It occurs due to the de struction of nerves in the lower esophageal sphincter (LES), which leads to the failure of the LES to relax.” Our news journalists obtained a quote from the research from the University of S outhern Florida, “Patients typically complain of dysphagia, chest pain, and regu rgitation. They often report drinking liquids with solids intake to help propel food boluses into the stomach. The diagnosis of achalasia is typically confirmed with an esophagogram and a motility study (esophageal manometry). An esophagogr am classically shows the bird beak sign with tapering in the distal esophagus. T he treatment for achalasia includes both surgical and non -surgical options. Sur gical treatment is associated with a lower rate of recurrences, high clinical su ccess rate, and durability of symptom relief. The current gold standard of surgi cal technique is myotomy, or the dividing of the muscle fibers of the distal eso phagus. Surgical myotomy can be accomplished via a laparoscopic or robotic techn ique; per -oral endoscopic myotomy is a new alternative intervention. Due to the theoretical risk of gastroesophageal reflux following a myotomy, an antireflux procedure is sometimes performed.”
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 Machine Learn ing have been published. According to news reporting originating from Helsinki, Finland, by NewsRx correspondents, research stated, “Retraining a machine learni ng (ML) model is essential for maintaining its performance as the data change ov er time. However, retraining is also costly, as it typically requires re-process ing the entire dataset.” Funders for this research include University of Helsinki, Research Council of Fi nland.
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 Sichuan, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Polyphenol-b ased materials, primarily composed of polyphenolic compounds, have attracted con siderable attention due to their unique chemical structures and biological activ ities.” Financial supporters for this research include Sichuan Province Science And Tech nology Support Program. Our news correspondents obtained a quote from the research from Southwest Jiaoto ng University: “However, there are many derivatives of polyphenols, resulting in the complexity and diversity of polyphenolbased materials. Traditional methods are difficult to meet the rapid development of polyphenol-based materials. Mach ine learning, known for its proficiency in predicting performance, optimizing sy nthesis processes, and designing novel materials, offers significant potential i n the intelligent design and applications of polyphenol-based materials. In this review, we summarize the recent advancements in the research and development of polyphenol-based materials and machine learning. The intersection of polyphenol -based materials and machine learning is also discussed, including their applica tions in biomedical, environmental, and energy fields.”
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 reporting from Munich, Germany, by News Rx journalists, research stated, “Functional connectivity has garnered interest as a potential biomarker of psychiatric disorders including borderline personali ty disorder (BPD). However, small sample sizes and lack of within-study replicat ions have led to divergent findings with no clear spatial foci.” The news correspondents obtained a quote from the research from Max-Planck-Insti tute for Psychiatry, “Evaluate discriminative performance and generalizability o f functional connectivity markers for BPD. Whole-brain fMRI resting state functi onal connectivity in matched subsamples of 116 BPD and 72 control individuals de fined by three grouping strategies. We predicted BPD status using classifiers wi th repeated cross-validation based on multiscale functional connectivity within and between regions of interest (ROIs) covering the whole brain-global ROI-based network, seed-based ROI-connectivity, functional consistency,and voxel-to-voxe l connectivity-and evaluated the generalizability of the classification in the l eft-out portion of non-matched data. Full-brain connectivity allowed classificat ion ( 70 %) of BPD patients vs. controls in matched inner cross-val idation. The classification remained significant when applied to unmatched out-o f-sample data ( 61-70 %). Highest seed-based accuracies were in a s imilar range to global accuracies ( 70-75 %), but spatially more sp ecific. The most discriminative seed regions included midline, temporal and soma tomotor regions. Univariate connectivity values were not predictive of BPD after multiple comparison corrections, but weak local effects coincided with the most discriminative seed- ROIs. Highest accuracies were achieved with a full clinical interview while self-report results remained at chance level. The accuracies va ry considerably between random sub-samples of the population, global signal and covariates limiting the practical applicability.”
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 Zhejiang, People’s Re public of China, by NewsRx editors, the research stated, “With the increasing de mand for personalized fashion, the conventional approach to clothing design stru ggles to keep up with market expectations.” Our news correspondents obtained a quote from the research from Wenzhou Universi ty: “This study explores how artificial intelligence can enhance clothing design , resulting in the creation of a digital customization process that is in step w ith the evolving trajectory of innovative fashion design. This study integrates the Deeplabv3+ model with a cross-cutting attention mechanism to develop a novel image segmentation network tailored for clothing design, aiming to expand the d iversity of design forms. Additionally, the WGAN-GP model is introduced for adap tive optimization of clothing color design, ensuring that the designs align with user preferences. To verify the efficacy of these AI technologies in apparel de sign, separate simulation verifications for design segmentation and color optimi zation were conducted. The results show that the Deeplabv3+ network achieved a 6 .97% improvement in Mean Intersection over Union (MioU) on the val idation dataset, outperforming the OCRNet average by 2.28 percentage points.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Nanotechnology - Photoca talytics have been published. According to news reporting out of London, United Kingdom, by NewsRx editors, research stated, “In this study, 58 distinct TiO2-co ated glass samples were synthesized via Atmospheric Pressure Chemical Vapour Dep osition (APCVD) under controlled synthesis conditions. The crystal properties, o ptical properties, surface properties and photogenerated charge carrier behaviou r of all synthesized samples were characterized by Xray diffraction (XRD), UV-v isible spectroscopy, atomic force microscopy (AFM), and transient absorption spe ctroscopy (TAS), respectively.” Financial supporters for this research include Engineering & Physi cal Sciences Research Council (EPSRC), Engineering & Physical Scie nces Research Council (EPSRC), Royal Society, Engineering & Physic al Sciences Research Council (EPSRC), Science & Technology Facilit ies Council (STFC).
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 out of Chiang Mai, Thailand , by NewsRx editors, research stated, “Floods cause disastrous damage to the env ironment, economy, and humanity. Flood losses can be reduced if adequate managem ent is implemented in the pre-disaster period.” The news correspondents obtained a quote from the research from Chiang Mai Unive rsity: “Flood hazard maps comprise disaster risk information displayed on geo-lo cation maps and the potential flood events that occur in an area. This paper pro poses a spatiotemporal flood hazard map framework to generate a flood hazard map using spatiotemporal data. The framework has three processes: (1) temporal pred iction, which uses the LSTM technique to predict water levels and rainfall for t he next time; (2) spatial interpolation, which uses the IDW technique to estimat e values; and (3) map generation, which uses the CNN technique to predict flood events and generate flood hazard maps. The study area is Chiang Mai Province, Th ailand. The generated hazard map covers 20,107 km2. There are 14 water-level tel emetry stations and 16 rain gauge stations.”
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