首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Guangzhou University of Chinese Medicine Reports Findings in Bioinformatics (Apo ptosis and NETotic cell death affect diabetic nephropathy independently: An stud y integrative study encompassing bioinformatics, machine learning, and experimen tal ...)

    20-21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 Biotechnology-Bioinf ormatics is the subject of a report. According to news reporting from Guangzhou, People's Republic of China, by NewsRx journalists, research stated, "Although p rogrammed cell death (PCD) and diabetic nephropathy (DN) are intrinsically conne ted, the interplay among various PCD forms remains elusive. In this study, We ai med at identifying independently DN-associated PCD pathways and biomarkers relev ant to the related pathogenesis." The news correspondents obtained a quote from the research from the Guangzhou Un iversity of Chinese Medicine, "We acquired DN-related datasets from the GEO data base and identified PCDs independently correlated with DN (DN-PCDs) through sing le-sample Gene Set Enrichment Analysis (ssGSEA) as well as, univariate and multi variate logistic regression analyses. Subsequently, applying differential expres sion analysis, weighted gene co-expression network analysis (WGCNA), and Mfuzz c luster analysis, we filted the DN-PCDs pertinent to DN onset and progression. Th e convergence of various machine learning techniques ultimately spotlighted hub genes, substantiated through dataset meta-analyses and experimental validations, thereby confirming hub genes and related pathways expression consistencies. We harmonized four DN-related datasets (GSE1009, GSE142025, GSE30528, and GSE30529) post-batch-effect removal for subsequent analyses. Our differential expression analysis yielded 709 differentially expressed genes (DEGs), comprising 446 upreg ulated and 263 downregulated DEGs. Based on our ssGSEA as well as univariate and multivariate logistic regressions, apoptosis and NETotic cell death were apprai sed as independent risk factors for DN (Odds Ratio > 1, p<0.05). Next, we further refined 588 apoptosis- and NETot ic cell death-associated genes through WGCNA and Mfuzz analysis, resulting in th e identification of 17 DN-PCDs. Integrating protein-protein interaction (PPI) ne twork analyses, network topology, and machine learning, we pinpointed hub genes (e.g., IL33, RPL11, and CX3CR1) as significant DN risk factors with expressions corroborating in subsequent meta-analyses and experimental validations. Our GSEA enrichment analysis discerned differential enrichments between DN and control s amples within pathways such as IL2/STAT5, IL6/JAK/STAT3, TNF-a via NF-kB, apopto sis, and oxidative phosphorylation, with related proteins such as IL2, IL6, and TNFa, which we subsequently submitted to experimental verification. Innovatively stemming from from intra-PCD interactions, in this study, we discerned PCDs wit h an independent impact on DN: apoptosis and NETotic cell death. We further scre ened DN evolution- and progression-related biomarkers, i.e. IL33, RPL11, and CX3 CR1, all of which we empirically validated. This study not only poroposes a PCD- centric perspective for DN studies but also provides evidence for PCD-mediated i mmune cell infiltration exploration in DN.regulation."
      原文链接:
    • NETL
    • NSTL

    Researchers at Ben-Gurion University of the Negev Have Published New Data on Rob otics (Automatic Curriculum Determination for Deep Reinforcement Learning in Rec onfigurable Robots)

    21-22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 robotics are presented i n a new report. According to news originating from Beer-Sheva, Israel, by NewsRx editors, the research stated, "Deep reinforcement learning (DRL) is a prevalent learning method in robotics. DRL is commonly applied in real-world scenarios, s uch as learning motion behavior in rough terrain." Funders for this research include Helmsley Charitable Trust Through The Agricult ural, Biological, And Cognitive Robotics Center Ofben-gurion University. The news correspondents obtained a quote from the research from Ben-Gurion Unive rsity of the Negev: "However, the lengthy learning epochs reduce DRL practicabil ity in many such environments. Curriculum learning can significantly enhance the efficiency of DRL, but establishing a curriculum is challenging, partly because it can be difficult to assess the operation complexity for each task. Determini ng operation complexity can be especially difficult for reconfigurable search an d rescue robots. We present a method for learning based on an automatically esta blished curriculum tuned to the robot's perspective. The method is especially su itable for outdoor environments with multiple obstacle variants, e.g., environme nts encountered in search and rescue missions. After an initial learning stage, the behavior of a robot when overcoming each obstacle variant is characterized u sing Gaussian mixture models (GMMs). Hellinger's distance between the GMMs is co mputed and used to cluster the variants hierarchically. The curriculum is determ ined based on the formed clusters and the average success rate in each cluster. The method was implemented on RSTAR, a highly maneuverable and reconfigurable fi eld robot that can overcome a variety of obstacles. Learning using the automatic ally determined curriculum was compared to learning without a curriculum in a si mulation with three obstacle types: a narrow channel, a low entrance, and a step ."
      原文链接:
    • NETL
    • NSTL

    Ave Maria University Reports Findings in Artificial Intelligence (Planting the S eeds of a Decision Tree for Ionic Liquids: Steric and Electronic Impacts on Melt ing Points of Triarylphosponium Ionic Liquids)

    22-23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 from Florida, United S tates, by NewsRx journalists, research stated, "While machine learning and artif icial intelligence offer promising avenues in the computer-aided design of mater ials, the complexity of these computational techniques remains a barrier for sci entists outside of the specific fields of study. Leveraging decision tree models , inspired by empirical methodologies, offers a pragmatic solution to the knowle dge barrier presented by artificial intelligence (AI)." The news correspondents obtained a quote from the research from Ave Maria Univer sity, "Herein, we present a model allowing for the qualitative prediction of mel ting points of ionic liquids derived from the crystallographic analysis of a ser ies of phosphonium-based ionic liquids. By carefully tailoring the steric and el ectronic properties of the cations within these salts, trends in the melting poi nts are observed, pointing toward the critical importance of p interactions to f orming the solid state. Quantification of the percentage of these p interactions using modern quantum crystallographic approaches reveals a linear trend in the relationship of C-Hp and p-p stacking interactions with melting points. These st ructure-property relationships are further examined by using computational studi es, helping to demonstrate the inverse relationship of dipole moments and meltin g points for ionic liquids. The results provide valuable insights into the featu res and relationships that are consistent with achieving low values in phosphoni um salts, which were not apparent in earlier studies."
      原文链接:
    • NETL
    • NSTL

    Studies from Ningxia Normal University in the Area of Intelligent Systems Descri bed (Evaluation of online teaching quality in colleges and universities based on digital monitoring technology)

    23-23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 intelligent systems is now available. According to news reporting from Ningxia Normal University by New sRx journalists, research stated, "The intelligent university teaching detection system can effectively improve the teaching efficiency of university classrooms and improve the teaching environment." The news editors obtained a quote from the research from Ningxia Normal Universi ty: "In order to improve the quality of online teaching supervision, this study combines digital monitoring technology to monitor the online teaching process in colleges and universities, and analyzes the method and process of using the equ ivalence line and the rotation theorem to estimate the projection angle. This wo rk applies a projection method to digital teaching detection, improves the algor ithm based on requirements, uses factor improvement methods to improve the probl ems in model application, uses requirement analysis methods to construct a syste m model, and uses experimental analysis methods to verify the effectiveness of t he proposed algorithm and model. With the support of simulation platforms and ma thematical statistical methods, the effectiveness of the system model is verifie d in this work."
      原文链接:
    • NETL
    • NSTL

    Recent Research from Beihang University Highlight Findings in Robotics (State of the Art In Movement Around a Remote Point: a Review of Remote Center of Motion In Robotics)

    24-24页
    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 Robotics. According to news reporting originating from Beijing, People's Republi c of China, by NewsRx correspondents, research stated, "The concept of remote ce nter of motion (RCM) is pivotal in a myriad of robotic applications, encompassin g areas such as medical robotics, orientation devices, and exoskeletal systems. The efficacy of RCM technology is a determining factor in the success of these r obotic domains." Financial supporters for this research include National Key R&D Pro gram of China, Ningbo Key Projects of Science and Technology Innovation 2025 Pla n of China, Natural Science Foundation of Zhejiang Province, National Natural Sc ience Foundation of China (NSFC), National Natural Science Foundation of China ( NSFC).
      原文链接:
    • NETL
    • NSTL

    Columbia University Irving Medical Center Reports Findings in Artificial Intelli gence (Artificial Intelligence in Cardiovascular Care-Part 2: Applications: JACC Review Topic of the Week)

    25-25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 originating from New Y ork City, New York, by NewsRx correspondents, research stated, "Recent artificia l intelligence (AI) advancements in cardiovascular care offer potential enhancem ents in effective diagnosis, treatment, and outcomes. More than 600 U.S." Our news editors obtained a quote from the research from Columbia University Irv ing Medical Center, "Food and Drug Administration-approved clinical AI algorithm s now exist, with 10% focusing on cardiovascular applications, hig hlighting the growing opportunities for AI to augment care. This review discusse s the latest advancements in the field of AI, with a particular focus on the uti lization of multimodal inputs and the field of generative AI. Further discussion s in this review involve an approach to understanding the larger context in whic h AI-augmented care may exist, and include a discussion of the need for rigorous evaluation, appropriate infrastructure for deployment, ethics and equity assess ments, regulatory oversight, and viable business cases for deployment."
      原文链接:
    • NETL
    • NSTL

    Findings on Machine Learning Detailed by Investigators at Beijing Normal Univers ity (Understanding Key Factors Determining the Effect of Particle Scouring Effic iency On Membrane Fouling Mitigation In Anfmbrs: Correlation Analysis Via Machin e ...)

    26-27页
    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 Machine Learning. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Particle scouring methods offer several advantages, including low energy consumption, ease of operation, a nd effective fouling control. The anaerobic fluidized bed membrane bioreactor is considered to be the most efficient wastewater treatment method with zero energ y consumption, as it produces bioenergy and has lower energy requirements compar ed to conventional processes." Financial support for this research came from Fundamental Research Funds for the Central Universities. Our news journalists obtained a quote from the research from Beijing Normal Univ ersity, "However, membrane fouling in AnFMBRs can be affected by various factors such as fluidized particle hydrodynamics, particle properties, and operating co nditions. To identify the primary factors affecting membrane fouling control in AnFMBRs, machine learning methods were utilized. Analysis of datasets from previ ous studies revealed several key findings. The location of the membrane in the r eactor, particle momentum, and particle size were identified as the major parame ters that govern membrane fouling reduction. Additionally, the optimal condition for AnFMBRs was determined to involve a membrane height-to-reactor height ratio of <= 0.5 and the use of particles with diameters of 1.5-3.0 mm. Furthermore, the use of smaller fluidized particles was shown to decrea se particle scouring efficacy, making it less cost-effective."
      原文链接:
    • NETL
    • NSTL

    New Robotics Research from Brno University of Technology Discussed (Deep-Reinfor cement-Learning-Based Motion Planning for a Wide Range of Robotic Structures)

    26-26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 robotics are presented i n a new report. According to news originating from Brno, Czech Republic, by News Rx correspondents, research stated, "The use of robot manipulators in engineerin g applications and scientific research has significantly increased in recent yea rs." Financial supporters for this research include Project Iga But. The news journalists obtained a quote from the research from Brno University of Technology: "This can be attributed to the rise of technologies such as autonomo us robotics and physics-based simulation, along with the utilization of artifici al intelligence techniques. The use of these technologies may be limited due to a focus on a specific type of robotic manipulator and a particular solved task, which can hinder modularity and reproducibility in future expansions. This paper presents a method for planning motion across a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reac hing a static or random target within a pre-defined configuration space."
      原文链接:
    • NETL
    • NSTL

    Naval Postgraduate School Researcher Highlights Recent Research in Artificial In telligence (Intermediate Judgments and Trust in Artificial Intelligence-Supporte d Decision-Making)

    27-28页
    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 Monterey, California, by NewsRx correspondents, research stated, "Human decision-making is increasing ly supported by artificial intelligence (AI) systems." Financial supporters for this research include Military Sealift Command. Our news correspondents obtained a quote from the research from Naval Postgradua te School: "From medical imaging analysis to self-driving vehicles, AI systems a re becoming organically embedded in a host of different technologies. However, i ncorporating such advice into decision-making entails a human rationalization of AI outputs for supporting beneficial outcomes. Recent research suggests interme diate judgments in the first stage of a decision process can interfere with deci sions in subsequent stages. For this reason, we extend this research to AI-suppo rted decision-making to investigate how intermediate judgments on AI-provided ad vice may influence subsequent decisions. In an online experiment (N = 192), we f ound a consistent bolstering effect in trust for those who made intermediate jud gments and over those who did not."
      原文链接:
    • NETL
    • NSTL

    Study Data from University of Idaho Update Knowledge of Support Vector Machines [Using Hyperspectral Signatures for Predicting Foliar Nitroge n and Calcium Content of Tissue Cultured Little-leaf Mockorange (philadelphus Mi crophyllus A. ...]

    28-29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 Support Vector Machines is now available. According to news reporting out of Moscow, Idaho, by NewsRx e ditors, research stated, "Determining foliar mineral status of tissue cultured s hoots can be costly and time consuming, yet hyperspectral signatures might be us eful for determining mineral contents of these shoots. In this study, hyperspect ral signatures were acquired from tissue cultured little-leaf mockorange (Philad elphus microphillus) shoots to determine the feasibility of using this technolog y to predict foliar nitrogen and calcium contents." Funders for this research include USDA National Institute of Food and Agricultur e, Hatch/Evans project, USDA National Institute of Food and Agriculture, under t he Hatch/Evans project, Idaho Agricultural Experiment Station, Nursery Advisory Committee of the Idaho State Department of Agriculture.
      原文链接:
    • NETL
    • NSTL