查看更多>>摘要：New research on artificial intelligence is the subject of a new report. According to news reporting originating from Indira Gandhi National Tribal University by NewsRx correspondents, research stated, "The research seeks to delve into and comprehend the attitudes of university students regarding artificial intelligence (AI) and to identify potential factors influencing these attitudes." The news editors obtained a quote from the research from Indira Gandhi National Tribal University: "The research employs a descriptive research design with a quantitative approach. A sample of 240 university students, including both males and females, was selected using simple random sampling. The AI Attitude scale (AIAS-4) developed by Grassini in 2023 was used to collect the data. Statistical techniques, such as "descriptive analysis," "indeoendent sample t-test," "one-way ANOVA," and "post hoc" test were used to analyze the data. The findings indicate that there was no statistically significant difference in attitudes toward AI between male and female university students. Furthermore, our research has substantiated a significant difference in attitudes toward AI among university students specializing in the fields of arts, science, and commerce."
查看更多>>摘要：New research on support vector machines is the subject of a new report. According to news reporting out of Karnataka, India, by NewsRx editors, research stated, "Marine debris is a significant environmental issue, necessitating the development of precise and efficient technologies for classifying and reducing its impact. This research tries to address the issues of image noise in ocean trash classification using four alternative filters the Gaussian, Bilateral, Mean, and Alpha-Trimmed Mean (ATM) filters for noise reduction and SVM for classification." The news correspondents obtained a quote from the research from Srinivas University: "The accuracy of categorization algorithms can be considerably impacted by the presence of noise in photos of maritime debris. In this study, we suggest a two-pronged strategy: To effectively decrease noise and improve the quality of the input photos, we first apply filters. These filters were chosen with care to protect significant details while eliminating extraneous noise. Second, we classify the debris into various categories based on its visual attributes using SVM, a powerful ML technique. The ATM filter significantly reduces noise and improves the clarity of photographs of ocean trash, according to the results of our experiments. This work proposes a novel approach for classifying marine debris using advanced machine learning algorithms."
查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Thyroid-associated ophthalmopathy (TAO) may result in increased metabolism and abnormalities in microcirculation. The fractal dimension (Df) of retinal vessels has been shown to be related to the pathology of a number of ophthalmic disorders, but it hasn't been investigated in TAO." Our news editors obtained a quote from the research from Capital Medical University, "We analyzed 1078 participants aged 18 to 72 (548 healthy volunteers and 530 TAO). Images were captured using a non-mydriatic 45-degree fundus camera. Baseline retinal characteristics, such as vessel width, tortuosity, and Df were measured using semiautomated software from fundus images. The average retinal parameters were compared between the two groups. The receiver operation curve (ROC) was used to assess the diagnostic efficacy of various retinal vascular parameters for TAO. Despite controlling for potential confounding variables, Df, vessel width, and tortuosity significantly increased in TAO compared to healthy volunteers. Compared to active TAO, patients in the inactive phase had a larger retinal venous caliber (p ＜0.05), but there was no difference in Df or arterial caliber. Moderate and severe cases had a higher Df compared with mild cases (EUGOGO guidelines). The area under the ROC for Df, tortuosity, and vascular caliber in the diagnosis of TAO was 0.904 (95% CI: 0.884-0.924), 0.638 (95% CI: 0.598-0.679), and 0.617 (95% CI: 0.576-0.658), respectively. Due to its accessibility, affordability, and non-invasive nature, retinal vascular Df may serve as a surrogate marker for TAO and might be used to identify severe cases."
查看更多>>摘要：New study results on artificial intelligence have been published. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Aimed to achieve quantitative control of workpiece surface after robotic polishing and improve polishing efficiency, a two-step processing optimization method involves artificial intelligence algorithms is investigated." Funders for this research include Scientific And Technological Project of Quanzhou. The news editors obtained a quote from the research from Beijing University of Technology: "Firstly, based on XGBoost algorithm, a prediction model for polished workpiece surface depending on key parameters is proposed, and the accuracy of the model is verified by experiments. After that, by using the above model, the influence of each parameter on the roughness was evaluated quantitatively. Subsequently, target roughness-driven optimization of processing parameters was presented by combining the roughness prediction model with NSGA II-TOPSIS algorithm based on the influence of each parameter on the roughness. To verify the proposed processing optimization method, polishing experiments of mold steel samples were conducted. The experimental results show that the maximum absolute error between the predicted and experimental roughness is 0.035 mm, and the maximum relative error is ＜9%. At the same time, when the minimum is set as the optimization objective."
查看更多>>摘要：New research on Surgery - Lobectomy is the subject of a report. According to news reporting out of London, United Kingdom, by NewsRx editors, research stated, "Pulmonary sleeve resection is a technically challenging procedure entailing expertise to perform via a minimally invasive approach. Robotic thoracic surgery with its three-dimensional high-definition imaging and true depth perception enables clarity of anatomical structures and, in conjunction with its articulated instruments, provides greater dexterity compared with video-assisted thoracoscopic surgery, allowing complex manoeuvres in limited spaces." Our news journalists obtained a quote from the research from St. Bartholomew's Hospital, "We present the case of a 22-year-old woman who presented with recurrent chest infections, dyspnoea on exertion, cough, loss of appetite and weight loss. On investigation, she was diagnosed with an endobronchial neuroendocrine tumour. She underwent a robotic-assisted left upper lobe sleeve lobectomy and mediastinal lymph node dissection. The patient made a good recovery with no perioperative or postoperative complications."
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Kunming, People's Republic of China, by NewsRx correspondents, research stated, "With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear and nonlinear problems, traditional machine learning algorithms are ineffective to solve such problems at one time."
查看更多>>摘要：Researchers detail new data in artificial intelligence. According to news reporting out of Seoul, South Korea, by NewsRx editors, research stated, "Energy management systems (EMSs) are regarded as essential components within smart grids." Our news reporters obtained a quote from the research from Kwangwoon University: "In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising solution. A comprehensive review of current literature and trends has been conducted with a focus on key areas, such as distributed energy resources, energy management information systems, energy storage systems, energy trading risk management systems, demand-side management systems, grid automation, and self-healing systems. The application of ML in EMS is discussed, highlighting enhancements in data analytics, improvements in system stability, facilitation of efficient energy distribution and optimization of energy flow."
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Tempe, Arizona, by NewsRx correspondents, research stated, "Advancements in multichannel recordings of single-unit activity (SUA) in vivo present an opportunity to discover novel features of spatially-varying extracellularly-recorded action potentials (EAPs) that are useful for identifying neuron-types. Traditional approaches to classifying neuron-types often rely on computing EAP waveform features based on conventions of single-channel recordings and thus inherit their limitations." Funders for this research include National Institutes of Health.
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating in Logrono, Spain, by NewsRx journalists, research stated, "Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine learning and statistical approaches in this context." Financial support for this research came from Spanish Government.
查看更多>>摘要：Investigators publish new report on artificial intelligence. According to news originating from Callaghan, Australia, by NewsRx editors, the research stated, "The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges." Our news reporters obtained a quote from the research from Newcastle University: "This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0, and the necessary change management and innovation strategies for seamless integration. Drawing from theoretical insights and real-world case studies, we explore the current landscape of quantum AI, its foreseeable influence, and the implications for organizational strategy. We further expound on traditional change management tactics, emphasizing the importance of continuous learning, ecosystem collaborations, and proactive approaches. By examining successful and failed quantum AI implementations, lessons are derived to guide future endeavors."
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