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 reporting from Garching, German y, by NewsRx journalists, research stated, “We compare linear regression, local polynomial regression and selected machine learning methods for modeling credit spread changes. Using partial dependence plots (PDPs) and H-statistic, we find t hat the outperformance of machine learning models compared to regression ones is mostly attributable to complex non-linearities and not to interactions.” The news correspondents obtained a quote from the research from Technical Univer sity Munich (TU Munich), “The PDPs are additionally used to perform a factor hed ging. For the first time, credit spread changes are decomposed by applying SHapl ey Additive exPlanation (SHAP) values. The proposed frame-work is applied to US a nd Euro Area corporate and covered bond credit spread changes of different matur ities to quantify the influence of several macroeconomic and financial variables .”
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 - Bariatric Su rgery is the subject of a report. According to news reporting from Peterborough, United Kingdom, by NewsRx journalists, research stated, “Robotic Roux-en-Y gast ric bypass (RRYGB) is an innovative alternative to traditional laparoscopic appr oaches. Literature has been published investigating its safety/efficacy; however , the quality of reporting is uncertain.” The news correspondents obtained a quote from the research from Peterborough Cit y Hospital, “This systematic review used the Idea, Development, Exploration, Ass essment and Long-term followup (IDEAL) framework to assess the reporting qualit y of available literature. A narrative summary was formulated, assessing how com prehensively governance/ethics, patient selection, demographics, surgeon experti se/training, technique description and outcomes were reported. Forty-seven studi es published between 2005 and 2024 were included. There was incomplete/inconsist ent reporting of governance/ethics, patient selection, surgeon expertise/trainin g and technique description, with heterogenous outcome reporting. RRYGB reportin g was poor and did not align with IDEAL guidance.”
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 Robotics - Ro botics and Automation have been published. According to news originating from Wu han, People’s Republic of China, by NewsRx correspondents, research stated, “Con tinuous and reliable ego-velocity information is significant for high-performanc e motion control and planning in a variety of robotic tasks, such as autonomous navigation and exploration. While linear velocities as first-order kinematics ca n be simultaneously estimated with other states or explicitly obtained by differ entiation from positions in ego-motion estimators such as odometers, the high co upling leads to instability and even failures when estimators degenerate.” Financial support for this research came from National Key Research and Developm ent Program of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting originating in College Station, Texas, by NewsRx journalists, research stated, “We consider machine learning tec hniques associated with the application of a boosted decision tree (BDT) to sear ches at the Large Hadron Collider (LHC) for pair-produced lepton partners which decay to leptons and invisible particles. This scenario can arise in the minimal supersymmetric Standard Model (MSSM), but can be realized in many other extensi ons of the Standard Model (SM).” Financial supporters for this research include United States Department of Energ y (DOE), Department of Atomic Energy (DAE), National Science Foundation (NSF), I nstituto Nazionale di Fisica Nucleare (INFN) through the project of the InDark I NFN Special Initiative, National Science Foundation (NSF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Oncology - Liver Metastasis is th e subject of a report. According to news reporting originating from Guangzhou, P eople’s Republic of China, by NewsRx correspondents, research stated, “The liver is the most common organ for the formation of colorectal cancer metastasis. Non -invasive prognostication of colorectal cancer liver metastasis (CRLM) may bette r inform clinicians for decision-making.” Our news editors obtained a quote from the research from the Department of Gastr oenterology, “Contrast-enhanced computed tomography images of 180 CRLM cases wer e included in the final analyses. Radiomics features, including shape, first-ord er, wavelet, and texture, were extracted with Pyradiomics, followed by feature e ngineering by penalized Cox regression. Radiomics signatures were constructed fo r disease-free survival (DFS) by both elastic net (EN) and random survival fores t (RSF) algorithms. The prognostic potential of the radiomics signatures was dem onstrated by Kaplan-Meier curves and multivariate Cox regression. 11 radiomics f eatures were selected for prognostic modelling for the EN algorithm, with 835 fe atures for the RSF algorithm. Survival heatmap indicates a negative correlation between EN or RSF risk scores and DFS. Radiomics signature by EN algorithm succe ssfully separates DFS of high-risk and lowrisk cases in the training dataset (l og-rank test: p<0.01, hazard ratio: 1.45 (1.07-1.96), p<0.01) and test dataset (hazard ratio: 1.89 (1.17-3.04), p<0.05). RSF algorithm shows a better prognostic implication potential for DFS in the training dataset (log-rank test: p<0.001, hazard rati o: 2.54 (1.80-3.61), p <0.0001) and test dataset (log-rank test: p<0.05, hazard ratio: 1.84 (1.15-2.96), p<0.05).”
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 originating from Sao Carlos, Brazil, by NewsRx corresponden ts, research stated, “In robotics, the ability of quadruped robots to perform ta sks in industrial, mining, and disaster environments has already been demonstrat ed. To ensure the safe execution of tasks by the robot, meticulous planning of i ts foot placements and precise leg control are crucial.” Financial supporters for this research include Brazilian National Research Counc il; Coordenacao De Aperfeicoamento De Pessoal De Nivel Superior-brazil; Fundacao De Amparo A Pesquisa Do Estado De Minas Gerais-brazil; Sao Paulo Research Found ation.
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 originating from Toronto, Can ada, by NewsRx correspondents, research stated, “Placenta accreta spectrum (PAS) is an obstetric disorder arising from the abnormal adherence of the placenta to the uterine wall, often leading to life-threatening complications including pos tpartum hemorrhage. Despite its significance, PAS remains frequently underdiagno sed before delivery.” Our news editors obtained a quote from the research, “This study delves into the realm of machine learning to enhance the precision of PAS classification. We in troduce two distinct models for PAS classification employing ultrasound texture features. The first model leverages machine learning techniques, harnessing text ure features extracted from ultrasound scans. The second model adopts a linear c lassifier, utilizing integrated features derived from ‘weighted z-scores’. A nov el aspect of our approach is the amalgamation of classical machine learning and statistical-based methods for feature selection. This, coupled with a more trans parent classification model based on quantitative image features, results in sup erior performance compared to conventional machine learning approaches. Our line ar classifier and machine learning models attain test accuracies of 87 % and 92 %, and 5-fold cross validation accuracies of 88.7 (4.4) and 83.0 (5.0), respectively. The proposed models illustrate the effectiveness of pr actical and robust tools for enhanced PAS detection, offering non-invasive and c omputationally-efficient diagnostic tools.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting from Curitiba, Brazil, by NewsRx journalists, research stated, “In most software organizations, Continuous Integration (CI) is a common practice usually subject to some budgets. Consequently, prioritizing t est cases to be executed in the CI cycle is fundamental.” Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnolo gico (CNPQ).
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 from Bakersfield, Cali fornia, by NewsRx journalists, research stated, “Voice-based artificial intellig ence, or voice AI, is becoming more prevalent in consumers’ daily transactions. Utilizing the perceptionaction model of empathy, this study aims to understand the holistic nature of empathetic responses in voice AI and how this technology, when rendered empathetic, can affect consumers’ attention to auditory informati on (perceived attention) and auditory information exploration, by reaching expec ted outcomes of the interactive process, consumer satisfaction, and consumers’ w illingness to use voice AI.” The news correspondents obtained a quote from the research from California State University Bakersfield, “The results of two pretests and two experiments explai n the effect of empathetic response in voice AI on consumers’ perceived attentio n and its subsequent effect on consumers’ auditory information exploration, sati sfaction, and willingness to use voice AI. In addition, the moderating effects o f narcissism on relationships were also tested.”
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 originating from Beijing, People’s Republic of China, by Ne wsRx correspondents, research stated, “Bionic microrobots working in liquid envi ronments have attracted attention in recent years, because they play an importan t role in the medical fields. So far, most bionic microrobots serving in liquid environments (swimming microrobots) are fabricated based on organic materials.” Financial supporters for this research include National Natural Science Foundati on of China, Beijing Nova Program.
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