查看更多>>摘要：Current study results on artificial intelligence have been published. According to news reporting originating from Daejeon, South Korea, by NewsRx correspondents, research stated, “The purpose of this study is to find the effects of the international training program for enhancing intelligent capabilities through blended learning on computational thinking, artificial intelligence (AI) competency, and core competencies for the future society in graduated students enrolled in the Smart Information Communication Technology (SMART ICT) course.” Financial supporters for this research include Innovative Human Resource Development For Local Intellectualization Program. The news journalists obtained a quote from the research from Pai Chai University: “The teaching model followed the ADDIE framework. This study is a quasi-experimental study based on nonequivalent control group design. Study subjects were assigned to an experimental (n = 20) or control group (n = 20). The experimental group participated in the international training program in the blended learning form, realtime online classes (60 min per session for a week, six sessions) and face-to-face classes (4-8 h per session for 9 days, six sessions). The variables were measured with a self-report questionnaire and were evaluated before, right after, and in the 12th week of the program. The AI competency of the experimental group was observed to be significantly changed at the points of time (F = 6.76, p = 0.002), and in comparison with that of a different group (F = 9.77, p = 0.003).”
查看更多>>摘要：Researchers detail new data in Artificial Intelligence. According to news reporting originating from West Chester, Pennsylvania, by NewsRx correspondents, research stated, “Integrating Artificial Intelligence (AI) technology in hospitals offers a unique opportunity to improve hospitals’ operating and financial performance. This study is among the first to investigate the determinants and subsequent performance outcomes associated with AI adoption.” Our news editors obtained a quote from the research from West Chester University, “Using an extensive dataset encompassing 941 AI hospital-year observations and 941 non-AI hospital-year observations, we find that hospitals with a larger market share are great candidates to adopt AI. Furthermore, these hospitals can leverage AI technology to enhance various aspects of performance, including total outpatient revenue, total inpatient revenue, productivity, and occupancy. Importantly, we demonstrate that controlling for endogeneity is essential in assessing the performance outcomes of AI adoption.”
查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Among the structural alloys for this fast reactor, 316H stainless steel has emerged as a promising candidate. Because the operating temperature of Sodium-cooled reactor is specifically designed to be 550 degrees C, this operating temperature triggers material inelastic behavior depends more on the coupling of fatigue and creep, which complicates the constitutive model.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), Youth Innovation Promotion Association CAS. Our news editors obtained a quote from the research from the Chinese Academy of Sciences, “By introducing static recovery terms, previous studies could capture some experimental features, but failed to describe the interaction by fatigue and creep. In this work, in order to describe the fatigue and creep during cyclic relaxation of 316H stainless steel at 550 degrees C, we propose a modified visco-plastic constitutive model within the framework of unified Chaboche model. In the proposed model, the parameters related to the static recovery items are coupled, and thus cannot be identified from experiments using the traditional trial and error. To address this issue, we employed the Bayesian approach to identify these parameters. The parameter identification involves two steps: (ⅰ) con-structing a Gaussian Process surrogate model using data generated from the finite element method, and (ⅱ) obtaining the value of parameters through Markov Chain Monte Carlo sampling under the Bayesian framework. The proposed procedure, is demonstrated by the using experi-mental results of 316H stainless steel at 550 degrees C. Under the coupling of fatiguecreep, the material exhibits a cyclic-dependent accelerated stress relaxation before reaching the saturated stage and a steady state of relaxed stress after a long holding time. These mechanical responses are well predicted by the proposed model.”
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news reporting originating from Dhaka, Bangladesh, by NewsRx correspondents, research stated, “Compared to other popular research domains, dermatology got less attention among machine learning researchers. One of the main concerns for this problem is an inadequate dataset since collecting samples from the human body is very sensitive.” The news editors obtained a quote from the research from East West University: “In recent years, arsenic has emerged as a significant issue for dermatologists. Arsenic is a highly toxic substance found in the earth’s crust whose small amounts can be very injurious to the human body. People who are exposed to arsenic for a long time through water and food can get cancer and skin lesions. With a view to contributing to this aspect, this dataset has been organized with the help of which the researchers can understand the impact of this contamination and design a solution using artificial intelligence. To the best of our knowledge, this is the first standard, easy-to-use, and open dataset of arsenic diseases. The images were collected from four places in Bangladesh, under the Department of Public Health Engineering, Chapainawabganj, where they are working on arsenic contamination. The dataset has 8892 skin images, with half of them showing people with arsenic effects and the other half showing mixed skin images that are not affected by arsenic.” According to the news editors, the research concluded: “This makes the dataset useful for treating people with arsenic-related conditions. Eventually, this dataset can attract the attention of not only the machine learning researchers, but also scientists, doctors, and other professionals in the associated research field.”
查看更多>>摘要：Investigators publish new report on robotics. According to news originating from Oak Ridge, Tennessee, by NewsRx editors, the research stated, “Conventional robotic wire arc additive manufacturing technologies enable the rapid production of moderate-sized components using low-cost wire feedstocks and robotic welding systems.” Funders for this research include Advanced Manufacturing Office; Office of Energy Efficiency And Renewable Energy; U.S. Department of Energy. The news correspondents obtained a quote from the research from Oak Ridge National Laboratory: “Efforts to date have primarily focused on single robot solutions. However, new configurations are possible with coordination of multiple robots and multi-degree of freedom positioners. This paper describes a new multi-agent control paradigm that enables multiple robots to work collaboratively on manufacturing a single component on a rotating platform. The advantages of this approach are increased deposition rate and productivity.” According to the news reporters, the research concluded: “This paper demonstrates this control strategy on a 19 degrees-of-freedom platform based on three wire arc additive systems surrounding a single rotating platform.”
查看更多>>摘要：Investigators publish new report on robotics and artificial intelligence. According to news originating from Shiga, Japan, by NewsRx correspondents, research stated, “Deep generative models (DGM) are increasingly employed in emergent communication systems.” The news journalists obtained a quote from the research from Ritsumeikan University: “However, their application in multimodal data contexts is limited. This study proposes a novel model that combines multimodal DGM with the Metropolis-Hastings (MH) naming game, enabling two agents to focus jointly on a shared subject and develop common vocabularies. The model proves that it can handle multimodal data, even in cases of missing modalities. Integrating the MH naming game with multimodal variational autoencoders (VAE) allows agents to form perceptual categories and exchange signs within multimodal contexts. Moreover, fine-tuning the weight ratio to favor a modality that the model could learn and categorize more readily improved communication. Our evaluation of three multimodal approaches mixture-of-experts (MoE), product-of-experts (PoE), and mixture-of-product-of-experts (MoPoE)-suggests an impact on the creation of latent spaces, the internal representations of agents.” According to the news reporters, the research concluded: “Our results from experiments with the MNIST + SVHN and Multimodal165 datasets indicate that combining the Gaussian mixture model (GMM), PoE multimodal VAE, and MH naming game substantially improved information sharing, knowledge formation, and data reconstruction.”
查看更多>>摘要：New research on Nervous System Diseases and Conditions Radiculopathy is the subject of a report. According to news reporting from Nanning, People’s Republic of China, by NewsRx journalists, research stated, “This study aimed to investigate the risk factors for cervical radiculopathy (CR) along with identifying the relationships between age, cervical flexors, and CR. This was a retrospective cohort study, including 60 patients with CR enrolled between December 2018 and June 2020.” The news correspondents obtained a quote from the research from Guangxi Medical University First Affiliated Hospital, “In this study, we measured C2 to C7 Cobb angle, disc degeneration, endplate degeneration, and morphology of paraspinal muscles and evaluated the value of predictive methods using receiver operating characteristic curves. Next, we established a diagnostic model for CR using Fisher discriminant model and compared different models by calculating the kappa value. Age and cervical flexor factors were used to construct clinical predictive models, which were further evaluated by C-index, receiver operating characteristic curve, calibration curve, and decision curve analysis. Multivariate analysis showed that age and cervical flexors were potential risk factors for CR, while the diagnostic model indicated that both exerted the best diagnostic effect. The obtained diagnostic equation was as follows: y1 = 0.33 x 1 + 10.302 x 2-24.139; y2 = 0.259 x 1 + 13.605 x 2-32.579. Both the C-index and AUC in the training set reached 0.939. Moreover, the C-index and AUC values in the external validation set reached 0.961. We developed 2 models for predicting CR and also confirmed their validity. Age and cervical flexors were considered potential risk factors for CR.”
查看更多>>摘要：Fresh data on Artificial Intelligence are presented in a new report. According to news originating from Nottingham, United Kingdom, by NewsRx correspondents, research stated, “The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in features, parts, and conditions, thereby enhancing functionalities while reducing costs.” Financial support for this research came from DiManD Innovative Training Network (ITN) project European Union through the Marie Sklodowska-Curie Innovative Training Networks (H2020-MSCAITN2018). Our news journalists obtained a quote from the research from the University of Nottingham, “This research emphasizes the incorporation of intelligence in testing processes within production systems. We introduce a novel approach for controlling testing functionality using an asset administration shell enriched with modular artificial intelligence. The proposed architecture is not only effective in controlling the execution behavior through services but also offers the distinct advantage of a modular design. This modularity significantly contributes to the system’s adaptability and scalability, allowing for more efficient and cost-effective solutions as different machine-learning models may be substituted to meet requirements.” According to the news editors, the research concluded: “The effectiveness of this approach is validated through a practical use case of leak testing, demonstrating the benefits of the modular architecture in a real-world application.” This research has been peer-reviewed.
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting out of Marseille, France, by NewsRx editors, research stated, “Small-molecule Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD1/PDL1) inhibition via PDL1 dimerization has the potential to lead to inexpensive drugs with better cancer patient outcomes and milder side effects. However, this therapeutic approach has proven challenging, with only one PDL1 dimerizer reaching early clinical trials so far.” Our news journalists obtained a quote from the research from Centre de Recherche en Cancerologie de Marseille, “There is hence a need for fast and accurate methods to develop alternative PDL1 dimerizers. We aim to show that structure-based virtual screening (SBVS) based on PDL1-specific machine-learning (ML) scoring functions (SFs) is a powerful drug design tool for detecting PD1/PDL1 inhibitors via PDL1 dimerization. By incorporating the latest MLSF advances, we generated and evaluated PDL1-specific MLSFs (classifiers and inactive-enriched regressors) on two demanding test sets. 60 PDL1-specific MLSFs (30 classifiers and 30 regressors) were generated. Our large-scale analysis provides highly predictive PDL1specific MLSFs that benefitted from training with large volumes of docked inactives and enabling inactiveenriched regression.”
查看更多>>摘要：New research on artificial intelligence is the subject of a new report. According to news reporting from Ibn Tofail University by NewsRx journalists, research stated, “In recent years, artificial intelligence has become an inevitable player in the field of development and international competition.” Our news editors obtained a quote from the research from Ibn Tofail University: “Artificial intelligence (AI) has made moves across all industries, and marine aquaculture as one of the pillars of the blue economy of high production growth is no exception. The integration of artificial intelligence into marine aquaculture management and conservation is revolutionizing the intensification and expansion of sustainable aquaculture production systems. AI-powered systems help aquaculturists optimize their operations, production and management of marine aquaculture farms, develop innovative applications for monitoring, control and prediction of marine ecosystems, and to reduce waste and minimize their environmental impact. The adoption of AI technologies in aquaculture will be essential to ensure the long-term sustainability of the industry and the health of our oceans. Overall, AI is proving to be an essential tool for optimizing aquaculture development plans and conservation strategies for marine ecosystems.”
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