查看更多>>摘要：New research on Central Nervous System Diseases and Conditions-Subarachnoid Hemorrhage is the subject of a report. A ccording to news reporting out of Suzhou, People's Republic of China, by NewsRx editors, research stated, "Pneumonia is a common postoperative complication in p atients with aneurysmal subarachnoid hemorrhage (aSAH), which is associated with poor prognosis and increased mortality. The aim of this study was to develop a predictive model for postoperative pneumonia (POP) in patients with aSAH." Our news journalists obtained a quote from the research from the First Affiliate d Hospital of Soochow University, "A retrospective analysis was conducted on 308 patients with aSAH who underwent surgery at the Neurosurgery Department of the First Affiliated Hospital of Soochow University. Univariate and multivariate log istic regression and lasso regression analysis were used to analyze the risk fac tors for POP. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the constructed model. F inally, the effectiveness of modeling these six variables in different machine l earning methods was investigated. In our patient cohort, 23.4% (n = 72/308) of patients experienced POP. Univariate, multivariate logistic regress ion analysis and lasso regression analysis revealed age, Hunt-Hess grade, mechan ical ventilation, leukocyte count, lymphocyte count, and platelet count as indep endent risk factors for POP. Subsequently, these six factors were used to build the final model. We found that age, Hunt-Hess grade, mechanical ventilation, leu kocyte count, lymphocyte count, and platelet count were independent risk factors for POP in patients with aSAH."
查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting out of Tianjin, People's Republic of China, by NewsRx editors, research stated, "Polarized light technology can be applied t o pose measurement in the hand-eye calibration procedure of a SCARA robot. Howev er, an inappropriate polarizing angle will decrease the image sharpness, which c auses errors in the extracted pixel image coordinates of calibration points." Funders for this research include Tianjin Science and Technology Plan Project, T ianjin University Science and Technology Development Fund Project, Tianjin Scien ce and Technology Popularization Project. Our news journalists obtained a quote from the research from the Tianjin Univers ity of Technology and Education, "Moreover, the noise easily impacts the pose-me asuring accuracy and stability. Aiming at the abovementioned issues, we proposed a new pose-measuring approach for the SCARA robot's hand-eye calibration. First , the polarizing apparatus is used to obtain the polarizing images of the target from multiple polarizing angles, and the image fusion is completed according to the edge sharpness of the calibration points. Through the fused image, the imag e sharpness is ensured, and the imaging quality of the calibration points is imp roved. Second, the normal vector constraints created by the longest measuring ba selines composed of calibration points are considered extra constraints to const ruct the pose-measuring model. This enhances the anti-noise ability without incr easing the number of calibration points. Using our approach, the pose-measuring re-projection error is reduced by 87 %. Utilizing the hand-eye cali bration data acquired by our approach, the robot positioning error is reduced by 47 %. The positioning error of a target is less than 0.04 mm."
查看更多>>摘要：Research findings on Robotics are disc ussed in a new report. According to news reporting from Shandong, People's Repub lic of China, by NewsRx journalists, research stated, "Stability of obstacle-cro ssing and structural optimization are important issues in the research of tracke d mobile robots. In this paper, in order to fully understand the obstacle-surmou nting ability of the robot, the relationship between the position of the center of gravity and the posture of the front and rear swing arms is analyzed." Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation capability improvement project of scientific and technological small and medium-sized enterprises of Shandong Province China, Science and Tech nology Innovation Development Project of Tai'an City Shandong Province China, De velopment Project of Tai'an City Shandong Province China.
查看更多>>摘要：New research on Oncology-Liver Cance r is the subject of a report. According to news originating from Beijing, People 's Republic of China, by NewsRx correspondents, research stated, "This study aim s to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammati on index (SII) levels after receiving ablation treatment, and based on this, con struct a nomogram model for predicting recurrence-free survival (RFS) of patient s. This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accept ed 65 HCC patients with high SII levels from Beijing Ditan Hospital as an extern al validation cohort. 505 patients from Beijing You'an Hospital were divided int o low SII and high SII groups based on the optimal cutoff value of SII scores."
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting originating in Hefei, People's Repub lic of China, by NewsRx journalists, research stated, "The massive data from mob ile and embedded devices have huge potential for training machine learning model s. Decentralized machine learning (DML) can avoid the inherent bottleneck of the parameter server (PS) by collaboratively training models in a device-to-device (D2D) fashion." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Jiangsu Province Science Foundation for Youths.
查看更多>>摘要：2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news originating from Beijing, People's Republic of Chi na, by NewsRx correspondents, research stated, "Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hyperco agulability in patients with atrial fibrillation (AF), which means LAA thrombus/ sludge, dense spontaneous echo contrast and slow LAA blood flow velocity (<0.25 m/s). Based on machine learning algorithms, cardiac computed tomography an giography (CCTA) radiomics features were adopted to construct prediction models and explore a suitable approach for diagnosing LAA hypercoagulability and adjust ing anticoagulation." Our news journalists obtained a quote from the research from Chinese People's Li beration Army (PLA) General Hospital, "This study included 652 patients with non -valvular AF. The univariate analysis were used to select meaningful clinical ch aracteristics to predict LAA hypercoagulability. Then 3D Slicer software was ado pted to extract radiomics features from CCTA imaging. The radiomics score was ca lculated using the least absolute shrinkage and selection operator logistic regr ession analysis to predict LAA hypercoagulability. We then combined clinical cha racteristics and radiomics scores to construct a nomogram model. Finally, we got prediction models based on machine learning algorithms and logistic regression separately. The area under the receiver operating characteristic curve of radiom ics score was 0.8449 in the training set and 0.7998 in the validation set. The n omogram model had a concordance index of 0.838. The final machine-learning based prediction models had good performances (best f1 score = 0.85). Radiomics featu res of long maximum diameter and high uniformity of Hounsfield unit in left atri al were significant predictors of the hypercoagulable state in LAA, with better predictive efficacy than clinical characteristics."
查看更多>>摘要：Research findings on computational int elligence are discussed in a new report. According to news reporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, "Multi-crite ria decision making process has been one of the fastest growing areas during the last decades depending on the change in the business sector. Multi-criteria dec ision making is the most important branch of operation research by which people make complex decision daily life." The news reporters obtained a quote from the research from Kalasalingam Academy of Research and Education (KARE): "The major steps in the decision- making appro ach are selecting the most preferred alternative for the decision-maker, ranking alternatives in order of importance for selection problems, and screening alter natives for the final decision. Employees are an important element of a company that determines its progress. Conventional (manual) recruitment methods are vuln erable to non-technical factors, such as frequent duplication or invalid data. I n this study, simple additive weighting and profile matching are proposed to sol ve the employee selection problem. This study was conducted at the (UPT) Career Development and Entrepreneurship Universitas Brawijaya Malang using data collect ed from written test selection in 2019. The effectiveness of both methods was an alyzed using confusion matrix. The SAW method provides an accuracy rate of 94.7% , a precision rate of 87.5%, Recall rate of 91.3% and F-measure rate of 89.4%."
查看更多>>摘要：New research on Robotics is the subjec t of a report. According to news reporting originating from Beijing, People's Re public of China, by NewsRx correspondents, research stated, "Robotic percutaneou s coronary intervention (R-PCI) is a novel technology in which operators can man ipulate guidewires and catheter devices in interventional cardiology. This appro ach provides great benefits to interventional cardiologists in terms of reducing both radiation exposure and orthopedic injuries." Our news editors obtained a quote from the research from Capital Medical Univers ity, "Several large, high-quality cohort studies have confirmed the short-term s afety and high technical success rate of R-PCI. However, randomized long-term da ta are still needed before adopting them as part of standard coronary interventi ons. Furthermore, tele-stenting for complex coronary lesions has significant pot ential for R-PCI. We need to overcome the present relevant challenges for its ap plication such as inherent delays, bedside care for unstable patients from R-PCI s to manual PCIs (M-PCIs), incompatibility for a thrombus aspiration catheter an d heavily calcified lesions. There is a great future in laboratory workflow team s, 3D-printed anatomical models and multiple joint collaborative control algorit hms."
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news originating from Perugia, Italy, by N ewsRx correspondents, research stated, "This paper intends to provide the reader with an overview of the main processes that are introducing artificial intellig ence (AI) into healthcare services." Funders for this research include Fondazione Perugia. The news editors obtained a quote from the research from University of Perugia: "The first part is organized according to an evolutionary perspective. We first describe the role that digital technologies have had in shaping the current heal thcare methodologies and the relevant foundations for new evolutionary scenarios . Subsequently, the various evolutionary paths are illustrated with reference to AI techniques and their research activities, specifying their degree of readine ss for actual clinical use. The organization of this paper is based on the inter play three pillars, namely, algorithms, enabling technologies and regulations, a nd healthcare methodologies."
查看更多>>摘要：New research on Robotics is the subjec t of a report. According to news reporting originating in Brussels, Belgium, by NewsRx journalists, research stated, "A proof-of-concept system is presented for the hyphenation of spatial comprehensive three-dimensional liquid chromatograph y (3D-LC) to mass spectrometry (MS) detection via a robotic-microfluidic interfa ce. A three-dimensional fractal microflow distributor, incorporating 16 parallel RP monolithic capillary columns arranged in a 4 x 4 configuration, was connecte d to an X-Y-Z robotic system." The news reporters obtained a quote from the research from Vrije Universiteit Br ussel (VUB), "This setup facilitated the deposition of successive arrays of micr odroplets onto an MS target plate. To minimize carryover during droplet depositi on, a strategy was implemented in which the distance between the target plate an d the capillary was gradually increased during the deposition process. System-le vel variation in travel time and subsequent flow rates across parallel columns w as assessed and translated in retention alignment based on injection of a protei n standard. The successful separation of intact proteins was demonstrated throug h a parallel 4 x 4 column configuration, applying MALDI-MS detection after micro droplet spotting on an MS target plate."
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