查看更多>>摘要：Researchers detail new data in Artific ial Intelligence. According to news reporting from Grand Rapids, Michigan, by Ne wsRx journalists, research stated, "In this study, we develop and validate a new Parkinson's disease (PD) mouse model that can be used to better understand how the disease progresses and to test the effects of new, potentially disease-modif ying, PD therapies. Our central hypothesis is that mitochondrial dysfunction int ercalates with misfolded alpha-synuclein (alphasyn) accumulation in a vicious c ycle, leading to the loss of nigral neurons." Financial support for this research came from National Institutes of Health (NIH ) -USA.
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting out of London, United Kingdom, by Ne wsRx editors, the research stated, "This study investigates the feasibility of u tilising photoplethysmography signals to estimate continuous intracranial pressu re (ICP) values in patients with traumatic brain injury. A clinical dataset was compiled, comprising synchronised data from a non-invasive optical sensor and an invasive gold standard ICP monitor from 27 patients." Financial support for this research came from George Daniels Educational Trust-G eorge Daniels Doctoral Studentship.
查看更多>>摘要：New research on Oncology -Lung Cancer is the subject of a report. According to news reporting originating in Guangzho u, People's Republic of China, by NewsRx journalists, research stated, "An incre asing number of early-stage lung adenocarcinoma (LUAD) are detected as lung nodu les. The radiological features related to LUAD progression remain further invest igation." The news reporters obtained a quote from the research from the South China Unive rsity of Technology, "Exploration is required to bridge the gap between radiomic s features and molecular characteristics of lung nodules. Consensus clustering w as applied to the radiomics features of 1,212 patients to establish stable clust ering. Clusters were illustrated using clinicopathological and next-generation s equencing (NGS). A classifier was constructed to further investigate the molecul ar characteristic in patients with paired CT and RNA-seq data. Patients were clu stered into 4 clusters. Cluster 1 was associated with a low consolidation-to-tum or ratio (CTR), pre-invasion, grade I disease and good prognosis. Clusters 2 and 3 showed increasing malignancy with higher CTR, higher pathological grade and p oor prognosis. Cluster 2 possessed more spread through air spaces (STAS) and clu ster 3 showed higher proportion of pleural invasion. Cluster 4 had similar clini copathological features with cluster 1 except higher proportion of grade II dise ase. RNA-seq indicated that cluster 1 represented nodules with indolent growth a nd good differentiation, whereas cluster 4 showed progression in cell developmen t but still had low proliferative activity. Nodules with high proliferation were classified into clusters 2 and 3. Additionally, the radiomics classifier distin guished cluster 2 as nodules harboring an activated immune environment, while cl uster 3 represented nodules with a suppressive immune environment. Furthermore, gene signatures associated with the prognosis of early-stage LUAD were validated in external datasets. Radiomics features can manifest molecular events driving progression of lung adenocarcinoma."
查看更多>>摘要：New research on Oncology -Glioblastom as is the subject of a report. According to news originating from Guangxi, Peopl e's Republic of China, by NewsRx correspondents, research stated, "To develop a machine learning-based nomogram for distinguishing between supratentorial extrav entricular ependymoma (STEE) and supratentorial glioblastoma (GBM). We conducted a retrospective analysis on MRI datasets obtained from 140 patients who were di agnosed with STEE (n=48) and GBM (n=92) from two institutions." Financial support for this research came from Guangxi Zhuang Autonomous Region H ealth Department.
查看更多>>摘要：Investigators publish new report on ar tificial intelligence. According to news reporting out of Edmonton, Canada, by N ewsRx editors, research stated, "One promising approach to reduce carbon foot pr int of internal combustion engines (ICEs) is using alternative fuels like hydrog en, particularly by converting medium and heavy-duty diesel engines to dual-fuel hydrogen-diesel engines. To minimize elevated NOx emissions from hydrogen-fuele d engine, fast and accurate emission models are essential for engine model-based control and for engine calibration and optimization using hardware-in-the-loop (HIL) setups."
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news originating from Szczecin, Pola nd, by NewsRx correspondents, research stated, "Maritime transportation is cruci al for global trade but faces significant risks and operational challenges." Our news reporters obtained a quote from the research from Maritime University o f Szczecin: "Ensuring safety is essential for protecting lives, the environment, and economic stability. This review explores the role of artificial intelligenc e (AI) in enhancing maritime safety and risk management. Key AI applications inc lude risk analysis, crew resource management, hazardous material handling, predi ctive maintenance, and navigation systems. AI systems identify potential hazards , provide real-time decision support, monitor hazardous materials, predict equip ment failures, and optimize shipping routes. Case studies, such as Wartsila's Fl eet Operations Solution and ABB Ability™ Marine Pilot Vision, illustrate the ben efits of AI in improving safety and efficiency. Despite these advancements, inte grating AI poses challenges related to infrastructure compatibility, data qualit y, and regulatory issues."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsInvestigators publish new report on robotics. Acc ording to news originating from Zhengzhou, People's Republic of China, by NewsRx editors, the research stated, "Path planning refers to finding the optimal path from the starting point to the endpoint in a given environment, avoiding obstac les." Funders for this research include Key Research Project of Higher Education Insti tutions in Henan Province. Our news editors obtained a quote from the research from Zhongyuan University of Technology: "To solve the problem of slow convergence speed in particle swarm o ptimization in path planning, this paper proposes a robot path planning based on generative learning Particle Swarm Optimization (LPSO). This algorithm construc ts a generative double-adversarial network. In the first stage, the generator wa s used to analyze and process the initial map to obtain a foreground area with f easible paths. This area is used for heuristic search of particle swarms, reduci ng unnecessary exploration areas for particles throughout the state space, and q uickly achieving path planning goals. In the second stage, the foreground region obtained in the first stage is used as the global optimal particle path for par ticle swarm optimization, and the particles are guided to move in the direction of high-density pheromones. Finally, the obstacle avoidance strategy enables the robot to avoid moving obstacles safely."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsResearch findings on artificial intelligence are discussed in a new report. According to news originating from Sanliurfa, Turkey, by NewsRx correspondents, research stated, "This paper presents a comprehensive study of five machine learning (ML) algorithms for predicting key characteristi cs of Reinforced Concrete (RC) structural systems." Our news reporters obtained a quote from the research from Harran University: "A novel dataset, ModRes, consisting of 9723 examples derived from modal and respo nse spectrum analyses on masonryinfilled three-dimensional RC buildings, was cr eated for ML applications. The primary objective is to develop an ML model using five distinct algorithms from the literature, capable of concurrently predictin g torsional irregularity, modal participating mass ratio (MPMR), and the fundame ntal period in a 3D environment, while accounting for the influence of infill wa lls. Additionally, the study aims to determine the applicability of pushover ana lysis (POA) without the need for extensive numerical modeling and analysis. This approach optimizes the preliminary design process with minimal computational ef fort, providing valuable insights into dynamic and torsional responses during se ismic events. The Categorical Boosting algorithm demonstrated outstanding perfor mance, achieving R2 values of 0.977 for torsional irregularity, 0.997 for the fu ndamental period, and 0.923 for MPMR on the test dataset."
查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting out of Patras, Greece, by NewsRx editors, re search stated, "Virtual reality (VR) technology is increasingly vital in various sectors, particularly for simulating real environments in training and teleoper ation. However, it has primarily focused on static, controlled settings like ind oor industrial shopfloors." Financial support for this research came from OMICRON under H2020 SOCIETAL CHALL ENGES -Smart, Green And Integrated Transport. Our news journalists obtained a quote from the research from the University of P atras, "This paper proposes a novel method for remotely controlling robots in ha zardous environments safely, without compromising efficiency. Operators can exec ute tasks from remote locations ensuring continuity regardless of distance. Real -time efficiency is achieved by updating the virtual environment from on-site se nsors and mirroring the real environment, utilizing 3D reconstruction, Google Im ages, and video streams. Communication between VR and the remote robot is facili tated through a remote robot operating system connection."
查看更多>>摘要：Data detailed on Machine Learning have been presented. According to news reporting from Shaanxi, People's Republic of China, by NewsRx journalists, research stated, "Compared to single atom catalyst s (SACs), the introduction of dual atom catalysts (DACs) has a significantly pos itive effect on improving the efficiency in the electrocatalytic nitrogen reduct ion reaction (NRR) which provides an environmental alternative to the Haber -Bos ch process. However, the research on the mechanism and strategy of designing bim etallic combinations for better performance is still in its early stages." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Shaanxi Province, Fundamental Research Funds for the Central Universities, HPC platform, Xi'an Jiaotong Univer sity.
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