Search

New research from the Beijing Institute of Pharmacology and Toxicology in China has identified a potential anti-Zika virus compound called XSJ2-46. The compound demonstrated potent in vitro activity against the Zika virus without requiring chemical phosphorylation and showed favorable pharmacokinetic and acute toxicity profiles. XSJ2-46 acted at the replication stage of the viral infection cycle and inhibited RNA-dependent RNA polymerases. In animal models, XSJ2-46 enhanced survival protection and decreased serum levels of Zika virus RNA. This research highlights the potential of utilizing the 5'-amino NI structure skeleton for developing antiviral compounds. [Extracted from the article]

Seaborne iron ore prices continued to fall on Tuesday June 14 with buying interest in the seaborne market waning in response to paper market fluctuations and an uncertain demand outlook for physical cargoes due to rising Covid infection numbers in Beijing and Shanghai, sources told Fastmarkets. [ABSTRACT FROM AUTHOR]

Iron ore prices in the seaborne market continued to reflect the drop in prices on the paper markets on Monday May 9, with buying interest for cargoes with June-laycans waning in response to the loss in value of the Chinese yuan against the US dollar, sources told Fastmarkets. [ABSTRACT FROM AUTHOR]

(Bloomberg) -- Authorities in Beijing have sent all residents of a large housing complex into quarantine after a total of 26 cases of Covid were discovered in the compound, Beijing Youth Daily reported. Residents of the compound in Chaoyang district were moved to a center for seven days of quarantine from Saturday, according to the report, which cited a notice issued Friday by the virus control and prevention command of Nanmofangxiang. [Extracted from the article]

Focuses on a defence White Paper report which outlines Beijing, China's national security concerns that covers a wide range of activities from military modernisation, arms control and civil-military relations. Increase in Beijing's military spending for 2005; Key areas that are being considered by Beijing as critical to its national security; Reformation of the People's Liberation Army's logistic organisation to produce an integrated tri-service joint logistical support system.

Focuses on several papers on marine shrimp that were presented at the World Aquaculture 2002 held in Beijing, China. Findings of studies on white spot syndrome virus; Survival and weight gain of white shrimp; Effect of protein and energy levels on the growth performance of Indian white shrimp.

The article discusses the last respect executed by the supporters of Premier Chou Enlai in Peking, China. It states that Chou died of cancer at the age of 77 and his body lay in state, draped in the flag of the Chinese Communist Party. The supporters expressed their grieve through wearing of white paper flowers on their padded winter jackets and gathered to place wreaths around the Monument of the People's Heroes. It also provides an overview of the Chou's eulogy and his cremation. Moreover, other topics concerning the death of Chou are also presented.

China's hot rolled coil prices retreated on Friday June 23 as trading activity wound down amid a temporary drop in the futures market. [ABSTRACT FROM AUTHOR]

The nine papers in this special section consists of expanded versions of papers presented at the International Symposium on Circuits and Systems, held in Beijing, China, in May 2013. [ABSTRACT FROM AUTHOR]

China's spot hot rolled coil prices edged up further on Wednesday October 12 with the futures market continuing to see solid gains. [ABSTRACT FROM AUTHOR]

Purpose: The knowledge cloud links people and ideas while also providing worldwide resources for putting them into action. This paper aims to see how the knowledge cloud affects the stimulation of subordinate creativity. The impact of the knowledge cloud on transformational leadership and its impacts on subordinate creativity are examined in this investigation. Also, this study checks out the influence of knowledge cloud on motivational goal orientation and the impact of motivational goal orientation on subordinate creativity. It investigates the influence of knowledge cloud on self-efficacy and feelings of it on subordinate creativity. Moreover, this research examines the impact of the knowledge cloud on employee empowerment and its impact on subordinate creativity. Design/methodology/approach: Knowledge sharing is known as a human rationale for information. It promotes learning, human performance, decision-making and problem-solving at the job; thus, innovation and creativity need novel knowledge. Knowledge cloud is a knowledge source that provides a base for knowledge co-creation. This investigation explores the structural relationships among knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy, employee empowerment and subordinate creativity. Here, a model is improved and experimentally examined based on the knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy and employee empowerment to improve subordinate creativity using partial least squares (PLS) and data from car factories' employees in Beijing. Findings: The study results show that knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy and employee empowerment are strongly related to subordinate creativity. In addition to using the Sobel test, all four variables' mediating role (transformational leadership, motivational goal orientation, self-efficacy and employee empowerment) is confirmed. Practical implications: A knowledge cloud can improve the stimulating subordinate creativity of employees through transformational leadership, motivational goal orientation, self-efficacy and employee empowerment. First, the human resources department must have some programs to improve the knowledge cloud's incentive. Second, creating an atmosphere of cooperation and trust among employees should enhance the knowledge cloud's effects. Originality/value: To the authors' knowledge, this is the first study that addresses the knowledge cloud's role in subordinate creativity in firms. This investigation also assists the creativity literature by testing the mediating effect of motivational goal orientation, transformational leadership, feelings of self-efficacy and employee empowerment. [ABSTRACT FROM AUTHOR]

The article reports that the Beijing TV producer of the report "Paper-Stuffed Dumplings" has been detained after the Beijing Food Security Office claimed that they found no paper-stuff dumplings. The issue originated in July 2007 when Beijing TV life channel (BTV-7) reported about "Paper-Stuffing Dumplings" in its special program "Transparency." This was followed by another program which was rebroadcasted on many TV stations and was in newspapers across China. The news along with the information on price hike on pork attracted attention abroad.

The cooperative tracking control problem is investigated for the virtually coupled train set subject to gradient terrain and actuator saturation. This paper proposes an adaptive event-triggered cooperative tracking control scheme, where a distributed asynchronous event-triggered sampling is designed based on the relative states between adjacent trains. In addition, the unknown parameters of high-speed train system are estimated by the adaptive method. By the proposed control scheme, the velocity and position tracking errors between any adjacent trains are ultimately bounded while realizing on-demand interaction between trains. It is proved that the Zeno behavior can be excluded by quantitatively expressing the strictly positive minimum lower bound of the inter-event interval. Finally, a simulation of the Beijing-Shanghai high-speed railway is used to verify the feasibility and effectiveness of the proposed control scheme. [ABSTRACT FROM AUTHOR]

A study conducted by researchers from the North China University of Technology in Beijing, China, explores the use of an enhanced Vision Transformer for blood cell image recognition. The current diagnosis of leukemia types relies on the subjective and time-consuming examination of blood cell images by pathologists, leading to potential misdiagnosis and missed diagnosis. The researchers propose a technique that incorporates convolutions with token embedding and a sparse attention module to improve the model's feature expression capability. Experimental results show that the model achieved an identification accuracy of 92.49% on the Munich single-cell morphological dataset. The study suggests that this method has the potential to assist physicians in clinical diagnosis. [Extracted from the article]

The article reports on the plan of exiled Chinese protesters to launch a series of campaigns, including the release of a white paper, to demand that China apologize for the 1989 Tiananmen Square massacre. It comes before the 20th anniversary of the bloody crackdown on student dissidents on June 4, 1989. Protesters include Wuer Kaixi and Wang Dan, student leaders in the 1989 democracy movement.

Reports on 'The Tiananmen Papers,' which were smuggled out of China and contain information regarding why Beijing's leaders decided to crack down on pro-reform demonstrators in 1989. How the papers could affect whoever emerges to lead China in 2002; Attempts of the government to block Web access to sites which have printed the papers; Plans to translate the papers into Chinese and smuggle them back into China.

Purpose – The purpose of this paper is to accurately simulate and predict the daily extreme temperature in Beijing Reservoir and the monthly extreme temperature in Tianjin Reservoir using wavelet refined rank set pair analysis (WRRSPA). Design/methodology/approach – The new method, called WRRSPA, which combines wavelet analysis and refined rank set pair analysis (RRSPA), was proposed for use in this study because of the non-linear and multi-time scale characteristics of the temperature series. The model includes the advantages of the multi-resolution feature of wavelet analysis and the non-parametric data-driven prediction from refined rank set air analysis. Findings – Based on the daily extreme temperature of Beijing Reservoir, the predictions of the last 18 days reveal that WRRSPA is more appropriate because the percentage of the relative errors that are smaller than 10 percent increased from 78 percent by Back Propagation (BP) and 78 percent by RRSPA to 100 percent by WRRSPA in Beijing Reservoir. In addition, WRRSPA has lower values of root mean squared error (RMSE) and mean absolute error (MAE) and a higher coefficient of efficiency (modified coefficient of efficiency (MCE)). The last 12 monthly extreme temperature predictions of Tianjin Reservoir demonstrate that WRRSPA produces prediction results: the percentage of relative errors that are smaller than 10 percent are improved from 34 percent by BP and 58 percent by RRSPA to 67 percent by WRRSPA. In addition, WRRSPA also has lower values of RMSE and MAE and a higher coefficient of efficiency (MCE). Research limitations/implications – The analysis results ignore the physical processes and may be affected by the limited observation data. In addition, the WRRSPA method is still in its early stages of application and must be further tested. Practical implications – The results of the study are helpful for the study of the complex features and accurate prediction of temperature series. Social implications – This paper contributes to further the process of research of climate change. Originality/value – This study represents the first use of the WRRSPA method to analyze the multi-scale characteristics and forecast the future values of the extreme temperature series from Beijing Reservoir and Tianjin Reservoir. This paper provides an important theoretical support for extreme temperature prediction. [ABSTRACT FROM AUTHOR]

Due to the deterioration of China's external environment in general, and its escalating tensions with the United States in particular, the Chinese government has readjusted its economic development strategy. As delineated in Beijing's 14th Five-Year Plan, which was unveiled in mid-March of this year, China will invest in efforts designed to strengthen its economic security and better protect its economy from external economic threats. These initiatives include science and technology self-sufficiency, secure supply chains in its manufacturing economy, growth sustained by domestic demand, and food and energy security. Although these efforts seem attractive on paper, China will likely encounter immense challenges in trying to implement its new development strategy. Chinese leaders may have underestimated the potential costs of strengthening national security at the expense of global integration. Beijing's disappointing records in executing industrial policy and rebalancing its economy also raise doubts whether it will be able to meet its ambitious goals. [ABSTRACT FROM AUTHOR]

A report from the China University of Geosciences in Beijing, People's Republic of China, discusses recent advances and new trends in the Fenton reaction, which involves the production of hydroxyl radicals and other oxidizing substances. The report reviews the mechanisms, applications, and materials used in the Fenton reaction, including various types of reactions triggered by different methods. The research focuses on the degradation of soil oil pollution, landfill leachate, textile wastewater, and antibiotics. The report concludes with a summary and outlook on the further development of Fenton-like reactions. This research has been peer-reviewed and provides valuable insights into the applications of Fenton reactions in environmental treatment. [Extracted from the article]

A recent study conducted by researchers at Beijing Jiaotong University in China explores the impact of teleworkers' psychology on their job performance and how they relieve negative emotions through enterprise social media (ESM). The study surveyed 835 teleworkers from various industries in China and found that family-to-work conflict and social isolation contribute to emotional exhaustion, which in turn negatively affects job performance. However, the study also found that the use of ESM can reduce family-to-work conflict and social isolation, thereby alleviating emotional exhaustion. The research provides practical suggestions for managers and teleworkers to improve job performance while working from home. [Extracted from the article]

This research paper briefly introduces the diagnosis and treatment of rotator cuff tears." Keywords: Diagnostics and Screening; Health and Medicine; Surgery EN Diagnostics and Screening Health and Medicine Surgery 820 820 1 07/10/23 20230714 NES 230714 2023 JUL 16 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Current study results on surgery have been published. [Extracted from the article]

This paper studies the problem of rescheduling trains with speed management in uncertain disruptions that lead to temporary speed restrictions (TSRs) in high-speed railway systems. The disruption uncertainties are that the coverage and speed limit value of TSRs change randomly over time, and the start and end times of TSRs are unknown in advance. First, a mixed-integer linear programming model is formulated to reduce the total train traveling times and improve the passenger comfortability. The solutions of the model provide simultaneously the optimal train rescheduling strategies and train speed control strategies. Second, a rolling horizon algorithm is applied in consideration of the disruption uncertainties. The rolling horizon algorithm updates and solves the model in every time horizon, according to the disruption information newly detected. Therefore, the train rescheduling orders and speed control orders can be adjusted according to the real-time situation to guarantee effectiveness. The rolling horizon approach is terminated automatically once the disruption ends. Finally, based on the practical data of the Beijing-Tianjin intercity high-speed railway line, numerical experiments are carried out to test the effectiveness and efficiency of the proposed approach. [ABSTRACT FROM AUTHOR]

This paper presents an imaging mode of proton CT based on static superconducting gantry different from the conventional rotational gantry." Keywords: Beijing; People's Republic of China; Asia; Obesity Fitness and Wellness; Therapy EN Beijing People's Republic of China Asia Obesity Fitness and Wellness Therapy 2023 MAR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Imaging Week -- Fresh data on Obesity, Fitness and Wellness are presented in a new report. [Extracted from the article]

The article provides information on the First International Workshop on Entity-Oriented Search (EOS) which was held in Beijing, China on July 28, 2011. This event was conducted with the goal of bringing together academic researchers and industry practitioners who work on EOS and discuss the frontiers for academic research. The workshop also featured invited talks, refereed papers classified into technical paper sessions, and a group discussion.

The author comments on the findings of a survey conducted by the Beijing Municipal Bureau of Statistics regarding the average monthly wage of city employees in 2008. It revealed that the average age of these employees reached 3,726 yuan or a 12% increase as compared to 2007. The author reveals the findings of an online survey stating that 74.2% noted that their incomes were below the local average. He thinks that the bureau's claim indicates the fact that ordinary people enjoy a rich life only in terms of statistics.

The article focuses on the piece of paper team, an environmental protection group organized by Yuan Rishe, a middle-school student, that advocated using both sides of a piece of paper. The members of the group also collected and sold used paper to raise money for tree planting. The student presented 2008 trees to the Beijing Olympic Committee on March 12, 2007, the 23rd Tree-planting Day in Beijing, China, as a gift and called them Young Pioneer Woods. It cites that her story calls for everybody's participation in saving energy.

• The paper proposes a novel dynamic graph recurrent convolutional neural network model, named Dynamic-GRCNN, to deeply capture the spatio-temporal traffic flow features for more accurately predicting urban passenger traffic flows. • The paper presents incidence dynamic graph structures based on historically passenger traffic flows to model traffic station relationships. Different from existing traffic transportation network topological structures based graph relationships between stations, the incidence dynamic graph structures firstly model the traffic relationships from historical passenger flows. • For real urban passenger traffic flows, the paper demonstrates that dynamic spatial-temporal incidence graphs are more suitable to model external changes and influences. • The paper compares Dynamic-GRCNN with state-of-the-art deep learning approaches on three benchmark datasets which contain different types of passenger traffic flows for evaluation. The results show that Dynamic-GRCNN significantly outperforms all the baselines in both effectiveness and efficiency in urban passenger traffic flows prediction. Accurate and real-time traffic passenger flows forecasting at transportation hubs, such as subway/bus stations, is a practical application and of great significance for urban traffic planning, control, guidance, etc. Recently deep learning based methods are promised to learn the spatial-temporal features from high non-linearity and complexity of traffic flows. However, it is still very challenging to handle so much complex factors including the urban transportation network topological structures and the laws of traffic flows with spatial and temporal dependencies. Considering both the static hybrid urban transportation network structures and dynamic spatial-temporal relationships among stations from historical traffic passenger flows, a more effective and fine-grained spatial-temporal features learning framework is necessary. In this paper, we propose a novel spatial-temporal incidence dynamic graph neural networks framework for urban traffic passenger flows prediction. We first model dynamic traffic station relationships over time as spatial-temporal incidence dynamic graph structures based on historically traffic passenger flows. Then we design a novel dynamic graph recurrent convolutional neural network, namely Dynamic-GRCNN, to learn the spatial-temporal features representation for urban transportation network topological structures and transportation hubs. To fully utilize the historical passenger flows, we sample the short-term, medium-term and long-term historical traffic data in training, which can capture the periodicity and trend of the traffic passenger flows at different stations. We conduct extensive experiments on different types of traffic passenger flows datasets including subway, taxi and bus flows in Beijing. The results show that the proposed Dynamic-GRCNN effectively captures comprehensive spatial-temporal correlations significantly and outperforms both traditional and deep learning based urban traffic passenger flows prediction methods. [ABSTRACT FROM AUTHOR]

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the introduced DuSP method and the symmetrically similar structures of the controller and its parameter estimator of MFAC. Then, the proposed DuSP-MFAC scheme is successfully implemented in an autonomous car “Ruilong” for the lateral tracking control problem via converting the trajectory tracking problem into a stabilization problem by using the proposed preview-deviation-yaw angle. This MFAC-based lateral tracking control method was tested and demonstrated satisfactory performance on real roads in Fengtai, Beijing, China, and through successful participation in the Chinese Smart Car Future Challenge Competition held in 2015 and 2016. [ABSTRACT FROM AUTHOR]

A recent study conducted by researchers at Capital Medical University in Beijing, China, analyzed the use of artificial intelligence (AI) technology in the management of intracranial aneurysms (IAs). The study conducted a bibliometric analysis of research on intracranial aneurysm management with AI technology (IAMWAIT) to gain insights into global research trends and potential future directions. The study found that China was the most prolific country in terms of publications, institutions, cooperating countries, and prolific authors, while the United States had the highest number of total citations. The research concluded that future endeavors should focus on broader application of AI algorithms in various sub-fields of IAMWAIT to better suit real-world applications. [Extracted from the article]

A team of material scientists from Tsinghua University in Beijing, China, led by Tian-Ling Ren, has outlined the state of graphene-based sensor technology for human-machine interfaces (HMI). Graphene, a two-dimensional carbon material, is ideal for wearable sensor technology due to its flexibility, lightweight, and conductivity. The team's research focuses on creating sensors that can measure various parts of the body, including the brain, eyes, and mouth, to facilitate seamless interaction between humans and machines. The review paper also discusses potential future developments for graphene-based sensors, such as multi-modality and improved comfort. [Extracted from the article]

Researchers at Beijing Jiaotong University have conducted a study on the application of Virtual Reality Exposure Therapy (VRET) to treat agoraphobia. The study focuses on two research questions: the development of complex VR environments to enhance therapy's effectiveness and the differential impact of these environments on agoraphobic and nonagoraphobic participants. The study utilizes advanced data processing techniques and qualitative methods to assess the physiological and psychological responses of participants. The results confirm the efficacy of VR settings as a therapeutic tool for anxiety disorders and contribute to the discourse on the optimization of VR technologies in clinical settings. [Extracted from the article]

The article discusses the highlights of the 29th Chinese Control Conference (CCC 2010) held at the National Convention Center of China in Beijing from July 28 to 31. The local sponsor of the event was the Beijing Institute of Technology. A total of 2,633 papers were submitted to CCC 2010. The 16th Guan Zhao-Zhi Award was presented to the paper "Controllability of Quasilinear Parabolic Equations and Application" by Xu Liu.

Keywords: Health and Medicine EN Health and Medicine 4408 4408 1 10/24/23 20231027 NES 231027 2023 OCT 27 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Researchers detail new data in agriculture. Keywords for this news article include: Peking Union Medical College Hospital, Beijing, People's Republic of China, Asia, Health and Medicine. [Extracted from the article]

Japan Sees "Grave Concern" in Beijing's East China Sea Actions (Bloomberg) -- China's projection of its military might into Asian waters and North Korea's modernization of its ballistic-missile arsenal pose risks to Japanese and regional security, the Japanese Ministry of Defense said. Ties between China and Japan deteriorated to their worst point in decades after Japan purchased part of a disputed island chain from a private owner in 2012. [Extracted from the article]

A study conducted by researchers at Beijing Jiaotong University in China has developed a new algorithm called EnergySaving Maximum Entropy Deep Reinforcement Learning (ES-MEDRL) to optimize the energy consumption of urban rail transit systems. The algorithm incorporates Lagrange multipliers and maximum policy entropy to minimize train traction energy consumption while balancing ride comfort, punctuality, and safety. Numerical experiments conducted on the Beijing Metro's Yizhuang Line showed a minimum 20% increase in energy efficiency compared to manual driving. The algorithm has the potential to guide energy-efficient train operations at the planning level. [Extracted from the article]

Researchers from Beijing Jiaotong University have developed a new method for accurately segmenting cervical cells, which is crucial for cervical cancer treatment. The current manual annotation method used by pathologists is labor-intensive and subjective. The researchers propose a two-stage framework called Solo_GAN, which uses a target detection model and a dual-domain mapping segmentation network to generate complete boundaries for single cells in overlapping clusters. The method has been extensively evaluated and consistently outperforms existing methods. This research holds significant importance for clinical research on cervical cancer cells. [Extracted from the article]

Keywords: Beijing; People's Republic of China; Asia; Cancer; Health and Medicine; Melanoma; Oncology EN Beijing People's Republic of China Asia Cancer Health and Medicine Melanoma Oncology 184 184 1 06/12/23 20230613 NES 230613 2023 JUN 13 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- Investigators publish new report on Oncology - Melanoma. According to the news reporters, the research concluded: "This paper reports a case of rectal malignant melanoma with signet ring cell carcinoma.". [Extracted from the article]

Keywords: Beijing; People's Republic of China; Asia; Obesity Fitness and Wellness; Cardiology; Electromagnet; Electronics; Health and Medicine; Medical Devices; Pacemakers EN Beijing People's Republic of China Asia Obesity Fitness and Wellness Cardiology Electromagnet Electronics Health and Medicine Medical Devices Pacemakers 262 262 1 05/22/23 20230526 NES 230526 2023 MAY 22 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Researchers detail new data in Obesity, Fitness and Wellness. This paper aims to study the safety evaluation method and optimal operation frequency of a cardiac pacemaker wireless charging system. [Extracted from the article]

The article provides information on the 2nd SIGIR Workshop on Crowdsourcing for Information Retrieval (CIR 2011) which took place in Beijing, China on July 28, 2011. This event was attended by researches and practitioners with the goal of disseminating advances in theory, empirical methods and novel applications of crowdsourcing for information retrieval (IR). It also features invited talks, panel discussion and presentation of refereed research papers and demonstration paper.

Our news editors obtained a quote from the research from Beijing Jiaotong University, "In this paper, we propose a low rank and class discriminative representation (LRCDR) based multi-source unsupervised domain adaptation method to reduce the marginal and conditional distribution differences synchronously for improving ASD identification. Keywords: Beijing; People's Republic of China; Asia; Autism; Autism Spectrum Disorders; Biomarkers; Developmental Disabilities; Developmental Diseases and Conditions; Diagnostics and Screening; Health and Medicine; Mental Health; Neurology EN Beijing People's Republic of China Asia Autism Autism Spectrum Disorders Biomarkers Developmental Disabilities Developmental Diseases and Conditions Diagnostics and Screening Health and Medicine Mental Health Neurology 531 531 1 04/10/23 20230414 NES 230414 2023 APR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Mental Health Weekly Digest -- New research on Developmental Diseases and Conditions - Autism Spectrum Disorders is the subject of a report. [Extracted from the article]

Keywords: Beijing; People's Republic of China; Asia; Obesity Fitness and Wellness EN Beijing People's Republic of China Asia Obesity Fitness and Wellness 2023 MAR 7 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Imaging Week -- Investigators publish new report on Obesity, Fitness and Wellness. Keywords for this news article include: Beijing, People's Republic of China, Asia, Obesity, Fitness and Wellness, Beijing University of Technology. Beijing, People's Republic of China, Asia, Obesity Fitness and Wellness. [Extracted from the article]

The news reporters obtained a quote from the research from China Agricultural University, "In this paper, the NIR camera imaging technology combined with deep learning method to detect early bruise in apple was proposed. Keywords: Beijing; People's Republic of China; Asia; Diagnostics and Screening; Health and Medicine; Imaging Technology; Technology EN Beijing People's Republic of China Asia Diagnostics and Screening Health and Medicine Imaging Technology Technology 2023 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Data detailed on Technology - Imaging Technology have been presented. [Extracted from the article]

High-precision short-term inbound passenger flow prediction is of great significance to the daily crowd management and line rescheduling in urban rail systems. Although current models have been applied to prediction, most methods need optimization to meet refined passenger flow management demand. In order to better predict the passenger flow, a novel Wave-LSTM model, based on long short-term memory network (LSTM) and wavelet, is introduced in this paper. In an empirical study with practical passenger flow data of Dongzhimen Station in the Beijing Subway system, the hybrid model exhibited more effective performance in terms of prediction accuracy than the existing algorithms, e.g., autoregressive integrated moving average (ARIMA), nonlinear regression (NAR), and traditional LSTM model. The study illustrates that our newly adopted model is a promising approach for predicting high-precision short-term inbound passenger flow. [ABSTRACT FROM AUTHOR]

Researchers at China Agricultural University have published a report discussing the potential benefits and challenges of using nanotechnology in sustainable farming. The researchers highlight that nanotechnology could improve crop nitrogen use efficiency and mitigate nitrogen pollution, as well as reduce the need for synthetic nitrogen fertilizers. However, concerns about the safety of nanomaterials and their impact on microorganisms and symbiotic systems have also been raised. The report aims to provide a theoretical foundation for the future development of nano-based green agriculture. [Extracted from the article]

A report from North China Electric Power University in Beijing, People's Republic of China, discusses the use of laser-induced cavitation bubbles in various applications, such as hydraulic machinery cavitation erosion, atomization, and biomedicine. The research focuses on the dynamics of cavitation bubbles near different boundaries, including rigid walls, angular walls, particles, hydrofoils, and droplets. The study provides insights for future research in this field. Financial support for the research came from the National Natural Science Foundation of China. The research has been peer-reviewed and published in the Journal of Hydrodynamics. [Extracted from the article]

A new report from the Beijing Institute of Petrochemical Technology explores the impact of network structures on the registration of cardiovascular images. The study compares the performance of various convolutional neural network (CNN) models and discusses the effects of different convolution submodules. The experiments conducted on patients with cardiovascular diseases found that all the networks studied were suitable for vascular image registration, with registration errors within 1 mm or 1 degree. The Alex-reg model outperformed the others and achieved the best registration result. This research has been peer-reviewed and provides valuable insights into the optimization of network structures for vascular image registration. [Extracted from the article]

A study conducted by researchers at North China Electric Power University in Beijing, China, explores the impact of users' energy use behavior on integrated energy systems (IES). The study proposes energy usage strategies based on integrated demand response (IDR) and develops a Stackelberg game-based simulation model that considers user-side flexible resources (FRs) and comfort cost. The research finds that the strategy developed with the consideration of FRs and consumer psychology can reduce the cost of purchasing energy for users by 17.14% and increase consumer surplus by 11.58%. The study also suggests that introducing user-side gas boilers and distributed energy storage can further benefit users and improve load regulation capabilities for integrated energy systems. [Extracted from the article]

• GPS and IC card data are used to simulate the time-dependent travel time and passenger demand. • An improved passenger selection model is proposed by introducing a preference coefficient. • A working hours constraint is first formulated in bus timetabling problem. • The model is transformed into an integer linear program, followed by a model contraction approach. • A two-stage solution method is proposed for large-scale bus timetabling problems. Bus lines are suffering from serious decline in passenger volume due to the rapid development of urban rail transit and shared transport, and big data intelligence may help them change the status quo. However, the tremendous amount of travel data collected in recent years have not got effectively utilization. In order to improve passenger volume for bus lines, this paper devotes to develop a data-driven bus timetable to substitute the existing experience-based bus timetable, which is now widely used by bus lines. Driven by the bus GPS data and IC card data, a timetable optimization model with time-dependent passenger demand and travel time among stops is proposed. The objective of maximizing passenger volume is based on a new preference-based passenger selection model. The working hours constraint is initially formulated, and the headway constraint and departure time constraints are also taken into account. For handling the step functions in both objective and constraints, we introduce a set of 0–1 variables to transform the proposed model into an integer linear programming. A model contraction approach is provided for solving the medium-scale problems and a two-stage solution method is proposed for the large-scale problems. The proposed model and methodology are tested on a real-world bus line in Beijing. The results show that it is able to produce a satisfactory timetable that outperforms the previously used experience-based one in terms of raising the average passenger volume by 8.2%. [ABSTRACT FROM AUTHOR]

Researchers at the Chinese Academy of Sciences have presented data on tissue engineering, specifically focusing on the piezoelectric properties of electrospun polymer nanofibers and their potential applications in energy harvesting, sensors, tissue engineering, and filtration. The study reviews the performance of various electrospun piezoelectric polymer nanofibers produced through different electrospinning methods. The researchers found that the electrospinning parameters can significantly affect the piezoelectric properties of the nanofibers. This research provides valuable insights into the impact of electrospinning methods on the properties of polymer nanofibers. [Extracted from the article]

A recent study conducted at Peking Union Medical College Hospital in Beijing, China, explores the use of artificial intelligence (AI) in the diagnosis and treatment of scoliosis, a three-dimensional deformity of the spine. The study highlights the various applications of AI in scoliosis, including early screening, diagnosis, treatment decision making, intraoperative operation, and prognosis prediction. The researchers discuss the current limitations of AI in this field and anticipate that future advancements in AI will greatly benefit scoliosis patients by improving diagnosis and treatment outcomes. For more information, the full research article can be accessed through the Journal of Clinical Medicine. [Extracted from the article]