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 Quebec, Canada, by NewsRx correspondents, research stated, “Postprandial glucose control can be challenging for individuals with type 1 diabetes, and this can be attributed to many factors, including suboptimal therapy parameters (carbohydrate ratios, correction factors, basal doses) because of physiological changes, meal macronutrients and engagement in postprandial physical activity. This narrative review aims to examine the current postprandial glucosemanagement strategies tested in clinical trials, including adjusting therapy settings, bolusing for meal macronutrients, adjusting pre-exercise and postexercise meal boluses for postprandial physical activity, and other therapeutic options, for individuals on open-loop and closed-loop therapies.”
查看更多>>摘要:Investigators publish new report on Robotics. According to news originating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “With the development of intelligent logistics technology, some companies began to use robots instead of humans to load cargo. This paper studies a novel container loading problem based on robotic loader system (CLP-RLS).” Funders for this research include National Key R&D Program of China, NSFC Key Supported Project of the Major Research Plan, China, National Natural Science Foundation of China (NSFC), Fundamental Research Funds for State Key Laboratory of Synthetical Automation for Process Industries, 111 Project 2.0.
查看更多>>摘要:Current study results on artificial intelligence have been published. According to news reporting originating from Henan, People’s Republic of China, by NewsRx correspondents, research stated, “Under the impetus of new concepts and new thinking, digital media art is also born.” Our news reporters obtained a quote from the research from Huanghuai University: “This paper discusses the integration of digital media in oil painting teaching in colleges and universities and constructs a resource library of painting images created by college and university students. The original RGB image is converted to HSV mode, and the college oil painting images are classified into styles based on color entropy. Drawing on the category balanced intersectionality loss function commonly used in edge extraction networks and designing an objective evaluation index based on the Adain network model for comparing the stylistic categorization ability of oil painting image translation networks. Finally, a generalization experiment was conducted on oil painting teaching painting images in colleges and universities through the Gallerix dataset.”
查看更多>>摘要:Investigators publish new report on Robotics. According to news originating from Atlanta, Georgia, by NewsRx correspondents, research stated, “Fabrication of structures in unstructured conditions is a promising area of bolstering the application spaces of additive manufacturing (AM). One emerging application is appending structures on existing ones that may have nonplanar surfaces in unconventional orientations.” Financial support for this research came from Air Force Office of Scientific Research. Our news journalists obtained a quote from the research from the Georgia Institute of Technology, “However, extrusion-based AM techniques are limited to printing on structured, planar environments with a fixed single-nozzle direction. Herein, the authors present a dexterous conformal material extrusion printing method using a six-axis robotic arm capable of constructing complex parts onto highly unstructured surfaces with rough topographies. The manufacturing method employs a custom algorithm that generates layers consisting of 3D spatial coordinates of print path as well as the extrusion nozzle oriented in the normal direction of the substrate, thereby enabling conformal motion of the extrusion nozzle to the unstructured surface. The capabilities of the surface-informed robotic conformal 3D printing method to fabricate structures on surfaces with a variety of topographies in unconventional orientations are demonstrated. Finally, via addition of deposited conductive paths, a high-strength, functional reinforcement capable of in situ deformation monitoring is appended. This work has the potential for reconstructing, repairing, and reinforcing existing structures in human-limited or inaccessible spaces. Integration of functional elements can also enable in situ sensing, monitoring, and self-diagnosis. This work presents a dexterous conformal material extrusion printing method using a six-axis robotic arm capable of constructing complex parts onto unstructured surfaces with rough topographies.”
查看更多>>摘要:New research on Lung Diseases and Conditions - Asthma is the subject of a report. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “Asthma is a chronic respiratory disease affecting millions of people worldwide, but early detection can be challenging due to the time-consuming nature of the traditional technique. Machine learning has shown great potential in the prompt prediction of asthma.” The news reporters obtained a quote from the research from the School of Computer Science and Communication Engineering, “However, because of the inherent complexity of asthma-related patterns, current models often fail to capture the correlation between data samples, limiting their accuracy. Our objective was to use our novel model to address the above problem via an Affinity Graph Enhanced Classifier (AGEC) to improve predictive accuracy. The clinical dataset used in this study consisted of 152 samples, where 24 routine blood markers were extracted as features to participate in the classification due to their ease of sourcing and relevance to asthma. Specifically, our model begins by constructing a projection matrix to reduce the dimensionality of the feature space while preserving the most discriminative features. Simultaneously, an affinity graph is learned through the resulting subspace to capture the internal relationship between samples better. Leveraging domain knowledge from the affinity graph, a new classifier (AGEC) is introduced for asthma prediction. AGEC’s performance was compared with five state-of-the-art predictive models. Experimental findings reveal the superior predictive capabilities of AGEC in asthma prediction. AGEC achieved an accuracy of 72.50%, surpassing FWAdaBoost (61.02%), MLFE (60.98%), SVR (64.01%), SVM (69.80%) and ERM (68.40%). These results provide evidence that capturing the correlation between samples can enhance the accuracy of asthma prediction. Moreover, the obtained [Formula: see text] values also suggest that the differences between our model and other models are statistically significant, and the effect of our model does not exist by chance. As observed from the experimental results, advanced statistical machine learning approaches such as AGEC can enable accurate diagnosis of asthma.”
查看更多>>摘要:Researchers detail new data in Artificial Intelligence. According to news reporting out of Odense, Denmark, by NewsRx editors, research stated, “Emotion recognition is the ability to precisely infer human emotions from numerous sources and modalities using questionnaires, physical signals, and physiological signals. Recently, emotion recognition has gained attention because of its diverse application areas, like affective computing, healthcare, human-robot interactions, and market research.” Our news journalists obtained a quote from the research from the University of Southern Denmark, “This paper provides a comprehensive and systematic review of emotion recognition techniques of the current decade. The paper includes emotion recognition using physical and physiological signals. Physical signals involve speech and facial expression, while physiological signals include electroencephalogram, electrocardiogram, galvanic skin response, and eye tracking. The paper provides an introduction to various emotion models, stimuli used for emotion elicitation, and the background of existing automated emotion recognition systems. This paper covers comprehensive searching and scanning of wellknown datasets followed by design criteria for review. After a thorough analysis and discussion, we selected 142 journal articles using PRISMA guidelines. The review provides a detailed analysis of existing studies and available datasets of emotion recognition.”
查看更多>>摘要:New study results on artificial intelligence have been published. According to news reporting out of Suwon, South Korea, by NewsRx editors, research stated, “River flood routing computes changes in the shape of a flood wave over time as it travels downstream along a river.” Funders for this research include Korea Environmental Industry And Technology Institute. Our news reporters obtained a quote from the research from Sungkyunkwan University: “Conventional flood routing models, especially hydrodynamic models, require a high quality and quantity of input data, such as measured hydrologic time series, geometric data, hydraulic structures, and hydrological parameters. Unlike physically based models, machine learning algorithms, which are data-driven models, do not require much knowledge about underlying physical processes and can identify complex nonlinearity between inputs and outputs.” According to the news editors, the research concluded: “Due to their higher performance, lower complexity, and low computation cost, researchers introduced novel machine learning methods as a single application or hybrid application to achieve more accurate and efficient flood routing. This paper reviews the recent application of machine learning methods in river flood routing.”
查看更多>>摘要:Fresh data on Machine Learning are presented in a new report. According to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “The fatigue failure of steel rebars joined by flash butt welding is a contributing factor to structural damage in reinforced concrete structures. In this work, a series of fatigue tests based on steel rebars joined by flash butt welding were carried out, and a fatigue life database consisting of 155 specimens were obtained.” Financial supporters for this research include National Key R D Plan, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Hunan Province. The news correspondents obtained a quote from the research from the School of Civil Engineering, “Three distinct machine learning models are utilized to analyze and predict the fatigue life of the steel rebars joined by flash butt welding. Additionally, The SHapley Additive exPlanations (SHAP) method is employed to assess the significance and impact of each input parameter on the model predictions. The results demonstrate the superior performance of the ANN model, with an R2 of 0.865, MSE of 0.134, MRE of 0.872, and MAE of 0.171. The factors influencing the fatigue life of steel rebars joined by flash butt welding, ranked in descending order of significance, are stress amplitude, rebar diameter, stress ratio, loading frequency, and material strength. The experimental and predicted values for the 2 million fatigue stress amplitude differ by 4.64 MPa (approximately 2.99 %), demonstrating the robust generalization capabilities of the ANN model, enabling accurate predictions of the fatigue life of steel rebars joined by flash butt welding throughout the entire cycle.”
查看更多>>摘要:Investigators publish new report on Machine Learning - Support Vector Machines. According to news reporting out of Sao Carlos, Brazil, by NewsRx editors, research stated, “Grapes are one of the important agricultural products that are consumed both fresh and dried. By drying grapes in different conditions, various raisins are produced.” Financial support for this research came from Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico. Our news journalists obtained a quote from the research from Federal University Sao Carlos, “After raisin production in the field, it is delivered to raisin production factories in order to wash and remove bad grains and remove thorns and weeds. Pricing and determining the quality of bulk raisins at this stage is one of the most important challenges between the seller and the buyer, who is the factory owner. In this research, using the machine vision method, 15 different classes of bulk raisins were investigated based on the composition of good and bad seeds and dry wood. The texture features of the images were used for classification, and the best combination of image texture extraction algorithms was evaluated using the particle swarm optimization (PSO) method. Three different classifier by name support vector machine (SVM), linear discriminate analysis (LDA) and K-nearest neighborhood were used for modeling. The results showed that the combination of several texture feature extraction methods using PSO improves the classification accuracy for all classifiers. The best results were achieved using SVM and LDA modeling as 99.33% and 99.73%, respectively. Since the number of algorithms used in LDA modeling was less than SVM, so the LDA model was selected as a best model.”
查看更多>>摘要:New research on Oncology - Gastric Cancer is the subject of a report. According to news reporting out of Nanchang, People’s Republic of China, by NewsRx editors, research stated, “To compare the short- and long-term outcomes between robotic gastrectomy (RG) and laparoscopic gastrectomy (LG) for gastric cancer. The clinical outcomes of RG over LG have not yet been effectively demonstrated.” Our news journalists obtained a quote from the research from the First Affiliated Hospital of Nanchang University, “This retrospective cohort study included 3,599 patients with gastric cancer who underwent radical gastrectomy at eight high-volume hospitals in China from August 2016 to June 2019. Propensity score matching (PSM) was performed between patients who received RG and LG. The primary endpoint was 3-year disease-free survival (DFS). After 1:1 PSM, 1034 pairs of patients were enrolled in a balanced cohort for further analysis. The 3-year DFS in the RG and LG was 83.7% and 83.1% (P=0.745), respectively, and the 3-year overall survival (OS) was 85.2% and 84.4%, respectively (P=0.647). During three years of follow-up, 154 patients in the RG and LG groups relapsed (cumulative incidence of recurrence: 15.0% vs. 15.0%, P=0.988). There was no significant difference in the recurrence sites between the two groups (all P>0.05). Sensitivity analysis showed that RG had comparable 3-year DFS (77.4% vs. 76.7%, P=0.745) and OS (79.7% vs. 78.4%, P=0.577) to LG in patients with advanced (pathological T2-4a) disease, and the recurrence pattern within three years was also similar between the two groups (all P>0.05). RG had less intraoperative blood loss, lower conversion rate, and shorter hospital stays than LG (all P>0.05).”