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    Research from Shenyang Normal University Reveals New Findings on Artificial Intelligence (Research on Strategies of English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology)

    86-87页
    查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news reporting from Liaoning, People’s Republic of China, by NewsRx journalists, research stated, “The way that artificial intelligence technology is being developed is causing a progressive evolution in college and university teaching methods and systems. This paper presents the design of the English teaching mode in colleges and universities based on artificial intelligence technology.” The news correspondents obtained a quote from the research from Shenyang Normal University: “Research on strategies for English teaching reform in colleges and universities supported by artificial intelligence 86 technology. A weighted inference model was used to design an AI expert system, based on which an intelligent assisted learning system based on a neural network was constructed using the law of knowledge forgetting. Based on information acquisition, the random Linsen method was selected as the assessment methodology for the impact of English instruction in colleges and universities. The assessment model’s performance and errors are examined through comparison tests of the teaching evaluation model. In this article, the educational effect evaluation model has an accuracy rate of 91% and a mean square error of less than 0.002. The impact of AI-assisted English instruction on teaching is evaluated based on this. Results from studies conducted both before and following the experimental group show that the overall score increases by 12.33 points and the P-value of the four dimensions’ teaching effect is less than 0.01.”
      原文链接:
    • NETL
    • NSTL

    Department of Thyroid and Breast Surgery Reports Findings in Papillary Thyroid Carcinoma (Comparison of transoral vestibular robotic thyroidectomy with traditional low-collar incision thyroidectomy)

    87-88页
    查看更多>>摘要：New research on Papillary Thyroid Carcinoma is the subject of a report. According to news originating from Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “Transoral vestibular robotic thyroidectomy can really make the patient’s body surface free of scar. This study aimed to compare the surgical and patient-related outcomes between the transoral vestibular robotic thyroidectomy and traditional low-collar incision thyroidectomy.” Our news journalists obtained a quote from the research from the Department of Thyroid and Breast Surgery, “The clinical data of 120 patients underwent transoral vestibular robotic thyroidectomy (TOVRT) or traditional low-collar incision thyroidectomy (TLCIT) were collected from May 2020 to October 2021. Propensity score matching analysis was used to minimize selection bias. All these patients were diagnosed with papillary thyroid carcinoma (PTC) through ultrasound-guided fine-needle aspiration prior to surgical intervention and surgical plan was tailored for each patient. An intraoperative recurrent laryngeal nerve (RLN) detection system was used in all patients, whose RLNs were identified and protected. We performed transoral vestibular robotic thyroidectomy with three intraoral incisions. Additional right axillary fold incisions were adopted occasionally to enhance fine reverse traction of tissue for radical tumor dissection. Clinical data including gender, age, tumor size, BMI, operation time, postoperative drainage volume and time, pain score, postoperative length of stay (LOS),number of lymph nodes removed, complications, and medical expense were observed and analyzed. Propensity score matching was used for 1:1 matching between the TOVRT group and the TLCIT group. All these patients accepted total thyroidectomy(or lobectomy) plus central lymph node dissection and all suffered from PTC confirmed by postoperative pathology. No conversion to open surgery happened in TOVRT group. The operative time of TOVRT group was longer than that of TLCIT group (P <0.05). The postoperative drainage volume of TOVRT group was more than that of TLCIT group (P <0.05). The drainage tube placement time of TOVRT group were longer than that of TLCIT group (P <0.05). Significant differences were also found in intraoperative bleeding volume, pain score and medical expense between the two groups (P <0.05). The incidence of perioperative common complications such as hypoparathyroidism and vocal cord paralysis in the two groups was almost identical (P >0.05). However, there were some specific complications such as surgical area infection (one case), skin burn (one case), oral tear (two cases), and paresthesia of the lower lip and the chin (two cases) were found in TOVRT group. Obviously, the postoperative cosmetic effect of the TOVRT group was better than TLCIT group (P <0.05). TOVRT is safe and feasible for low to moderate-risk PTC patients and is a potential alternative for patients who require no scar on their neck.”
      原文链接:
    • NETL
    • NSTL

    Capital Medical University Reports Findings in Gliomas (BTK Expression Level Prediction and the High-Grade Glioma Prognosis Using Radiomic Machine Learning Models)

    88-89页
    查看更多>>摘要：New research on Oncology - Gliomas is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “We aimed to study whether the Bruton’s tyrosine kinase (BTK) expression is correlated with the prognosis of patients with high-grade gliomas (HGGs) and predict its expression level prior to surgery, by constructing radiomic models. Clinical and gene expression data of 310 patients from The Cancer Genome Atlas (TCGA) were included for gene-based prognostic analysis.” Our news journalists obtained a quote from the research from Capital Medical University, “Among them, contrast-enhanced T1-weighted imaging (T1WI + C) from The Cancer Imaging Archive (TCIA) with genomic data was selected from 82 patients for radiomic models, including support vector machine (SVM) and logistic regression (LR) models. Furthermore, the nomogram incorporating radiomic signatures was constructed to evaluate its clinical efficacy. BTK was identified as an independent risk factor for HGGs through univariate and multivariate Cox regression analyses. Three radiomic features were selected to construct the SVM and LR models, and the validation set showed area under curve (AUCs) values of 0.711 (95% CI, 0.598-0.824) and 0.736 (95% CI, 0.627-0.844), respectively. The median survival times of the high Rad_score and low-Rad_score groups based on LR model were 15.53 and 23.03 months, respectively. In addition, the total risk score of each patient was used to construct a predictive nomogram, and the AUCs calculated from the corresponding time-dependent ROC curves were 0.533, 0.659, and 0.767 for 1, 3, and 5 years, respectively.”
      原文链接:
    • NETL
    • NSTL

    Researchers at University of Applied Sciences Release New Data on Artificial Intelligence (A Benchmark for the Ueq+ Framework: Construction of a Simple Tool To Quickly Interpret Ueq+ Kpis)

    89-90页
    查看更多>>摘要：Researchers detail new data in Machine Learning - Artificial Intelligence. According to news originating from Emden, Germany, by NewsRx correspondents, research stated, “Questionnaires are a highly efficient method to compare the user experience (UX) of different interactive products or versions of a single product. Concretely, they allow us to evaluate the UX easily and to compare different products with a numeric UX score.” Our news journalists obtained a quote from the research from the University of Applied Sciences, “However, often only one UX score from a single evaluated product is available. Without a comparison to other measurements, it is difficult to interpret an individual score, e.g. to decide whether a product’s UX is good enough to compete in the market. Many questionnaires offer benchmarks to support researchers in these cases. A benchmark is the result of a larger set of product evaluations performed with the same questionnaire. The score obtained from a single product evaluation can be compared to the scores from this benchmark data set to quickly interpret the results. In this paper, the first benchmark for the UEQ+ (User Experience Questionnaire +) is presented, which was created using 3.290 UEQ+ responses for 26 successful software products. The UEQ+ is a modular framework that contains a high number of validated user experience scales that can be combined to form a UX questionnaire.”
      原文链接:
    • NETL
    • NSTL
    • Univ Int Rioja-Unir

    Recent Findings in Machine Learning Described by Researchers from China Iron and Steel Research Institute Group (Prediction and Customized Design of Curie Temperature of Fe-based Amorphous Alloys Based On Interpretable Machine Learning)

    90-91页
    查看更多>>摘要：Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Predicting the Curie temperature (Tc) is a crucial problem in the field of amorphous alloys. In this study, Fe-based amorphous alloys are taken as an example, and the composition and corresponding Tc are collected through a literature review.” Financial support for this research came from National Key Research and Development Program of China. Our news editors obtained a quote from the research from China Iron and Steel Research Institute Group, “Three feature construction strategies are employed to establish the relationship between the composition and Tc using machine learning. The research findings demonstrate that the combination of the Meredig rule and the GBT algorithm yields the highest prediction accuracy. The features are constructed using recursive elimination and enumeration methods, ultimately resulting in an optimal 8-dimensional feature subset. Furthermore, the Shapley Additive exPlanations (SHAP) values are introduced to analyze the interpretability of the prediction model, providing a feature importance ranking and their critical values.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Artificial Intelligence Study Findings Reported from School of Civil Engineering and Architecture (Artificial Intelligence-Based Comfort Assessment and Simulation of Architectural Sound Environments)

    91-92页
    查看更多>>摘要：Researchers detail new data in artificial intelligence. According to news reporting out of Henan, People’s Republic of China, by NewsRx editors, research stated, “This paper determines the influencing factors of architectural acoustic environment comfort assessment from the perspective of green building acoustic environment comfort, and constructs a two-by-two comparison judgment matrix for each questionnaire survey result.” The news editors obtained a quote from the research from School of Civil Engineering and Architecture: “Through the consistency test of the judgment matrix, the weights of the factors influencing the comfort of the building sound environment are obtained, and the construction of the assessment model of the comfort of the building sound environment is completed. Based on the architectural acoustic environment comfort assessment model, optimization variables are selected and multi-objective optimization is used to determine the objective function and constraints of architectural acoustic environment comfort. The comfort of the acoustic environment of the campus building is evaluated and analyzed through simulation analysis.”
      原文链接:
    • NETL
    • NSTL

    Ruprecht-Karls University Reports Findings in Artificial Intelligence (Artificial intelligence in neurology: opportunities, challenges, and policy implications)

    92-93页
    查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting from Heidelberg, Germany, by NewsRx journalists, research stated, “Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization’s Intersectoral Global Action Plan in 2022.” The news correspondents obtained a quote from the research from Ruprecht-Karls University, “Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI’s potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars-models, data, feasibility/equity, and regulation/innovation-through concerted pursuit of targeted recommendations.”
      原文链接:
    • NETL
    • NSTL

    Reports from Bhabha Atomic Research Centre Add New Study Findings to Research in Machine Learning [Generic flame extension model development based on machine learning for NPPs fire hazard analysis (FHA)]

    93-93页
    查看更多>>摘要：Data detailed on artificial intelligence have been presented. According to news originating from Mumbai, India, by NewsRx correspondents, research stated, “In enclosed fire situations, the flame interacts with ceiling and its length extension take place, altering the fire severity significantly. Fire safety analysis demand a generic flame extension model.” The news editors obtained a quote from the research from Bhabha Atomic Research Centre: “A generic reliable model is not available as the construct of flame itself had wide variation in literature. The present paper aims to develop a Machine Learning (ML) based generic model of non-dimensional flame extension as a function of non-dimensional Heat Release Rate (HRR). The non-dimensional scaling reduces the number of parameter and also provide a generic nature. Literature review was utilized to collect the data from various open literature sources. This eliminates the limitations of individual correlations and gives a best optimized model which is valid for a wide range of flow regimes and conditions as compared to a specific correlation. Various simple ML models are compared for their performance against test data and a MARS based model was finally recommended. The MARS model was tested against the data which was not used in training and also against the other reported correlation.”
      原文链接:
    • NETL
    • NSTL
    • Walter De Gruyter

    Studies from Swiss Federal Institute of Technology Zurich (ETH Zurich) in the Area of Machine Learning Reported (Machine Learning-based Multipath Modeling In Spatial Domain Applied To Gnss Short Baseline Processing)

    94-95页
    查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting originating from Zurich, Switzerland, by NewsRx correspondents, research stated, “Multipath is the main unmodeled error source hindering high-precision Global Navigation Satellite System data processing. Conventional multipath mitigation methods, such as sidereal filtering (SF) and multipath hemispherical map (MHM), have certain disadvantages: They are either not easy to use or not effective enough for multipath mitigation.” Financial support for this research came from The authors would like to thank Curtin GNSS-SPAN Group for the access to the high-rate GNSS data, Amir Allahvirdi-Zadeh for providing the station photos, and Dr. Hohensinn for providing the u-blox data. The authors also would like to acknowledge the editor. Our news editors obtained a quote from the research from the Swiss Federal Institute of Technology Zurich (ETH Zurich), “In this study, we propose a machine learning (ML)-based multipath mitigation method. Multipath modeling was formulated as a regression task, and the multipath errors were fitted with respect to azimuth and elevation in the spatial domain. We collected 30 days of 1 Hz GPS data to validate the proposed method. In total, five short baselines were formed and multipath errors were extracted from the postfit residuals. ML-based multipath models, as well as observation-domain SF and MHM models, were constructed using 5 days of residuals before the target day and later applied for multipath correction. It was found that the XGBoost (XGB) method outperformed SF and MHM. It achieved the highest residual reduction rates, which were 24.9%, 36.2%, 25.5% and 20.4% for GPS P1, P2, L1 and L2 observations, respectively. After applying the XGB-based multipath corrections, kinematic positioning precisions of 1.6 mm, 1.9 mm and 4.5 mm could be achieved in east, north and up components, respectively, corresponding to 20.0%, 17.4% and 16.7% improvements compared to the original solutions. The effectiveness of the ML-based multipath model was further validated using 30 s sampling data and data from a low-cost device.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Findings from Southwest University of Science and Technology Provides New Data on Robotics (Research On Dynamic Tracking Method of Assisted Puncture Robot Based On Position Vision)

    95-95页
    查看更多>>摘要：New research on Robotics is the subject of a report. According to news originating from Mianyang, People’s Republic of China, by NewsRx correspondents, research stated, “How to achieve accurate positioning of assisted puncture robot in medical puncture surgery is a key problem. Through the mapping between CT coordinate system, robot coordinate system and visual space coordinate system, the patient’s focus target and puncture needle point are mapped into the robot workspace to realise auxiliary guidance and accurate positioning, and good results are achieved in the static model.” Financial supporters for this research include Innovation Fund of the Engineering Research Center of the Ministry of Education for the Integration and Application of Digital Learning Technologies, Mianyang Science and Technology Bureau Transfer Payment Fund. Our news journalists obtained a quote from the research from the Southwest University of Science and Technology, “In the process of clinical puncture operation, due to the long operation time, the micro motion of the patient’s body will cause the puncture position error, which can’t ensure the accuracy of puncture operation. To solve this problem, this paper studies the dynamic measurement method based on position vision, accurately extracts the mark point coordinates on the patient’s body surface through binocular vision positioning, collects the change difference of the patient’s body micro motion error in real time, and solves the change difference of the puncture path after the patient’s body micro motion, so as to make error compensation in the process of robot puncture positioning, realise error elimination and accurate positioning.”
      原文链接:
    • NETL
    • NSTL
    • Acta Press