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With the development of 5G network, artificial intelligence, cloud computing, big data and other digital technologies, we have witnessed the E-commerce live broadcasting industry has also jumped on this fast train, injecting fresh blood into People’s Daily shopping. The main contribution of this paper is to combine theory with practice to build a model from three aspects: people, goods and market, set up assumptions, and analyze the purchasing factors that affect people’s daily shopping. Using SmartPLS software to conduct descriptive statistics, reliability analysis and validity test on the collected questionnaires, the following conclusions and research objectives are drawn: the interactivity of live-streaming, entertainment of live-streaming, promotion price of live-streaming and opinion leaders will have a significant impact on consumers’ cognition and emotion, and meanwhile, cognition and emotion will have a significant impact on consumers’ purchase intention. Opinion leaders have the greatest impact on consumers’ willingness to purchase. &nbsp

To assess the performance of biplane area-length method in measuring left atrial (LA) volume and sphericity index and to investigate the correlation of LA reservoir function and sphericity index with atrial fibrosis on cardiac magnetic resonance imaging (MRI) in patients with mitral valve disease (MVD). Forty-eight patients with MVD undergoing cardiac MRI scan were enrolled in this retrospective study. LA reservoir function, measured as maximum volume (LAV

We report a comprehensive study on a layered-structure compound of NaZn4As3, which has been predicted to be an ideal topological semimetal (TSM) candidate. It is found that NaZn4As3 undergoes a structural transformation from high temperature rhombohedral to a low temperature monoclinic phase. The electric resistivity exhibits a metal-to-insulator-like transition at around 100 K, and then develops a plateau at low temperature, which might be related to the protected topologically conducting surface states. Our first-principles calculation confirms further that NaZn4As3 is a topological insulator (TI) for both different phases rather than a previously proposed TSM. The Hall resistivity reveals that the hole carriers dominate the transport properties for the whole temperature range investigated. Furthermore, an obvious kink possibly associated to the structure transition has been detected in thermopower around ~ 170 K. The large thermopower and moderate κ indicate that NaZn4As3 and /or its derivatives can provide a good platform for optimizing and studying the thermoelectric performance.

This paper presents an improved reconstruction approach for compressed sensing based ECG acquisition in Internet of Medical Things. The proposed method exploits the concepts of adaptive overcomplete dictionary and QRS detection in CS domain. Based on whether there is a QRS complex, the ECG frames to be reconstructed are divided into several categories and corresponding overcomplete dictionaries are trained to fit these different kinds of ECG frames. Specifically, QRS detection is first performed directly on the compressed measurements to determine the QRS morphology without actually reconstructing the signal in advance, and then a suitable overcomplete dictionary is chosen for the signal reconstruction. Because the selected dictionaries well fit the ECG frames, the reconstruction quality is consequently improved. Comparative experiments have been conducted, and the results well demonstrate the performance of the proposed approach.

BACKGROUND The studies on coronary slow flow are receiving increasing attention, but objective evaluation of the publications is still lacking. Thus, a bibliometric analysis is required to reflect the characteristics and development of publications on coronary slow flow. OBJECTIVE The purpose of this study was to visualize the current status and research hotspots of coronary slow flow with bibliometric analysis. METHODS All relevant publications on coronary slow flow during 2003 to 2021 were extracted from the Web of Science Core Collection database and analyzed by VOSviewer and CiteSpace visualization softwares. Years, journals, countries/regions, institutions, authors and research hotspots were identified. RESULTS A total of 847 publications were retrieved. The journals with the largest publication volume were Coronary Artery Disease and International Journal of Cardiology. The country/region with the largest publication volume was Turkey, followed by the United States and China. The institution with the largest publication volume was European Union of Research Universities. Meanwhile, the author with the largest publication volume was Mustafa Cetin from Turkey. Keyword analysis results indicated that treatment and prognosis, diagnosis and pathogenesis, and risk factors were the clustering centers of coronary slow flow, and the research hotspots gradually changed with the progress of time, from pathogenesis to treatment and prognosis. CONCLUSIONS The direction of future research involves the search for effective and noninvasive detection indicators and treatments of coronary slow flow. Collaboration needs to be enhanced between different institutions or countries/regions, which would improve clinical outcomes for patients with coronary slow flow.

Well-crystallized and nanosized LiFePO4/C composite have been successfully synthesized by spray-drying under N2 atmosphere. The morphology, physical and electrochemical properties of the LiFePO4/C were tested and analyzed. The charge transfer resistances (Rct) and chemical diffusion coefficients of lithium ions (DLi+) in LiFePO4/C was systematically tested by EIS. The results show that the lithium ions diffusion coefficients obtained from EIS is 1.58×10-14 cm2·s-1. The assembled soft-packed cell with LiFePO4/C show better rate capability and cycling stability. The average capacity retention of LiFePO4/C soft-packed cell decreases to 100%, 98.9%, 96.5%, 92.4%, and 90.3% when current rate increases to 0.3, 0.5, 1, 2, and 3C, respectively. The capacity retention after 80 cycles is retained at more than 99%.

Previous assessments of the effectiveness of protected areas (PAs) focused primarily on changes in human pressure over time and did not consider the different human-pressure baselines of PAs, thereby potentially over- or underestimating PA effectiveness. We developed a framework that considers both human-pressure baseline and change in human pressure over time and assessed the effectiveness of 338 PAs in China from 2010 to 2020. The initial state of human pressure on PAs was taken as the baseline, and changes in human pressure index (HPI) were further analyzed under different baselines. We used the random forest models to identify the management measures that most improved effectiveness in resisting human pressure for the PAs with different baselines. Finally, the relationships between the changes in the HPI and the changes in natural ecosystems in PAs were analyzed with different baselines. Of PAs with low HPI baselines, medium HPI baselines, and high HPI baselines, 76.92% (n=150), 11.11% (n=12), and 22.86% (n=8) , respectively, showed positive effects in resisting human pressure. Overall, ignoring human-pressure baselines somewhat underestimated the positive effects of PAs, especially for those with low initial human pressure. For PAs with different initial human pressures, different management measures should be taken to improve effectiveness and reduce threats to natural ecosystems. We believe our framework is useful for assessing the effectiveness of PAs globally, and we recommend it be included in the Convention on Biological Diversity Post-2020 Strategy.Las evaluaciones previas de la efectividad de las áreas protegidas (AP) se han enfocado principalmente en los cambios de las presiones humanas con el tiempo y no han considerado las diferentes líneas base de las presiones humanas en las AP, por lo que potencialmente han sobrestimado o subestimado su efectividad. Desarrollamos un marco de trabajo que considera las líneas base de presión humana y los cambios de las presiones humanas con el tiempo y evaluamos a la efectividad de 338 AP en China entre 2010 y 2020. Consideramos el estado inicial de la presión humana en las AP como la línea base y analizamos los cambios en el índice de presión humana (IPH) bajo diferentes líneas base. Utilizamos modelos de bosque aleatorio para identificar las medidas de gestión que más aumentaron la efectividad de la resistencia a las presiones humanas en las AP con líneas base diferentes. Finalmente, analizamos con diferentes líneas base las relaciones entre los cambios en el IPH y los cambios en los ecosistemas naturales de las AP. De las AP con líneas base de IPH bajas, medianas y altas, 76.92% (n=150), 11.11% (n=12) y 22.86% (n=8), respectivamente, mostraron efectos positivos de resistencia a las presiones humanas. En general, si ignoramos las líneas base de las presiones humanas, se subestiman los efectos positivos de las AP de una u otra manera, especialmente aquellas con poca presión humana al inicio. En el caso de las AP que al inicio tienen diferentes presiones humanas, se deben tomar diferentes medidas de gestión para mejorar la efectividad y reducir las amenazas a los ecosistemas naturales. Creemos que nuestro marco de trabajo sirve para evaluar la efectividad mundial de las AP y recomendamos que se incluya en la Estrategia Post-2020 de la Convención sobre la Diversidad Biológica. Mejoría de la Efectividad de un Área Protegida al Considerar Diferentes Líneas Base de Presión Humana.自然保护地保护成效评估过去主要关注两个时间段之间人类压力的变化, 较少考虑自然保护地不同的人类压力基线(初始背景状态), 这可能会过高或过低估计自然保护地保护成效。我们提出了一个同时考虑人类压力基线和人类压力随时间变化的评估框架, 并评估了2010-2020年中国338处自然保护地在不同基线下减缓人类压力的有效性。首先以人类压力的初始状态作为基线, 在不同基线下进一步分析了自然保护地内人类压力指数的变化;然后利用随机森林模型明确了对于不同基线的自然保护地提高其保护成效最重要的管理措施;最后进一步探讨了不同基线下人类压力指数变化与自然生态系统变化之间的关系。结果表明, 对于初始人类压力较低、中等和较高的自然保护地, 分别有76.92%、11.11%和22.86%在减缓人类压力方面表现出显著正效应。总体而言, 忽略人类压力基线在一定程度上低估了自然保护地的成效, 特别是对于初始人类压力较低的自然保护地。对于具有不同初始人类压力的自然保护地, 应采取不同的管理措施提高其保护成效并减少对自然生态系统的威胁。本研究提出的评估框架对评估全球自然保护地的保护成效具有重要作用, 我们建议将其纳入2020年后生物多样性战略目标的评估体系。.

Finding promising materials that show large thermoelectricity at low temperatures is crucial for low-temperature refrigeration applications. Here, we report a significantly large thermoelectric power factor ( PF) up to 50 μW cm−1 K−2 at an extremely low temperature of ∼8 K in a quasi-one-dimensional (Q1D) antiferromagnet KMn6Bi5, in which highly electrical conductivity and dramatic enhancement of Seebeck coefficient may favor its occurrence. In addition, a giant Nernst signal has also been detected with a maximum value of 24 μV K−1 T−1 at ∼5 K. All these intriguing characteristics observed in KMn6Bi5 can be attributed to the manifestation of the unusually strong coupling among spin, charge, lattice, and one dimensionality in KMn6Bi5. Our findings provide fundamental insight into the thermal transport in Q1D antiferromagnets and should stimulate further experimental exploration of thermal transport in such Q1D family for possible thermoelectric applications at extremely low temperatures.

Image segmentation is a challenging problem in imaging informatics, which stems from the intersection of imaging techniques, computer science and biomedicine. In particular, accurate segmentation of cardiac structures in late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is of great clinical importance for cardiac function assessment and myocardial disease diagnosis. However, it is a well-known challenge due to its special imaging modality and the lack of labeled LGE samples. In this paper, we propose an unsupervised ventricular segmentation algorithm that can perform biventricular segmentation of LGE images in the absence of labeled LGE data. There are two primary modules, the data augmentation procedure and the segmentation network. The easily available annotated balanced-Steady State Free Precession (bSSFP) images are employed for cross-modal data augmentation by image translation, where a single bSSFP image is converted into multiple synthetic LGE images while preserving the original morphological structure. Then, the proposed segmentation network is trained with the synthetic LGE images and used for segmenting real LGE images. Validation experiments demonstrated the effectiveness and advantages of the proposed algorithm.

BackgroundThe ideal treatment strategy for stable three-vessel coronary artery disease (CAD) patients are difficult to determine and for patients undergoing conservative treatment, imaging evidence of coronary atherosclerotic severity progression remains limited. Epicardial fat volume (EFV) on coronary CT angiography (CCTA) has been considered to be associated with coronary atherosclerosis. Therefore, this study aims to evaluate the relationship between EFV level and coronary atherosclerosis severity in three-vessel CAD.MethodsThis retrospective study enrolled 252 consecutive patients with three-vessel CAD and 252 normal control group participants who underwent CCTA between January 2018 and December 2019. A semi-automatic method was developed for EFV quantification on CCTA images, standardized by body surface area. Coronary atherosclerosis severity was evaluated and scored by the number of coronary arteries with ≥ 50% stenosis on coronary angiography. Patients were subdivided into groups on the basis of lesion severity: mild (score = 3 vessels, n = 85), moderate (3.5 vessels ≤ score t-test, analysis of variance, and logistic regression analysis were used to evaluate the associations between EFV level and severity of coronary atherosclerosis.ResultsCompared with normal controls, three-vessel CAD patients had significantly higher EFV level (65 ± 22 mL/m2vs. 48 ± 19 mL/m2;P 2(75 ± 21 mL/m2vs. 72 ± 22 mL/m2vs. 62 ± 17 mL/m2;P OR3.40, 95% CI 2.00–5.78,P OR0.49, 95% CI 0.26–0.93,P ConclusionThree-vessel CAD patients do have higher EFV level than the normal controls. While, there may be an inverse relationship between EFV level and the severity of coronary atherosclerosis in patients with three-vessel CAD.

Neural indicators of pain discriminability have far-reaching theoretical and clinical implications but have been largely overlooked previously. Here, to directly identify the neural basis of pain discriminability, we apply signal detection theory to three EEG (Datasets 1-3, total N = 366) and two fMRI (Datasets 4-5, total N = 399) datasets where participants receive transient stimuli of four sensory modalities (pain, touch, audition, and vision) and two intensities (high and low) and report perceptual ratings. Datasets 1 and 4 are used for exploration and others for validation. We find that most pain-evoked EEG and fMRI brain responses robustly encode pain discriminability, which is well replicated in validation datasets. The neural indicators are also pain selective since they cannot track tactile, auditory, or visual discriminability, even though perceptual ratings and sensory discriminability are well matched between modalities. Overall, we provide compelling evidence that pain-evoked brain responses can serve as replicable and selective neural indicators of pain discriminability.

As non-pharmaceutical interventions, non-invasive electrical neuromodulation techniques are promising in pain management. With many advantages, such as low costs, high usability, and non-invasiveness, they have been exploited to treat multiple types of clinical pain. Proper use of these techniques requires a comprehensive understanding of how they work. In this article, we reviewed recent studies concerning non-invasive electrical peripheral nerve stimulation (transcutaneous electrical nerve stimulation and transcutaneous vagus/vagal nerve stimulation) as well as electrical central nerve stimulation (transcranial direct current stimulation and transcranial alternating current stimulation). Specifically, we discussed their analgesic effects on acute and chronic pain, and the neural mechanisms thereof. We then contrasted the four kinds of nerve stimulation techniques, pointing out limitations of existing studies and proposing directions for future research. With more extensive and in-depth research to overcome these limitations, we shall witness more clinical applications of non-invasive electrical nerve stimulations to alleviate patients' pain and ease the crippling medical and economic burden imposed on patients, their families, and the entire society.

BACKGROUND Over the years, mesenchymal stromal (stem) cells (MSCs) have been pre-clinically applied in the treatment of variety kinds of diseases including asthma and chronic lung diseases. Aim of the current study was to systematically review and to conduct meta-analysis on the published studies of MSC treatment in asthma animal models. METHODS Publications on the MSC and asthma treatment was thoroughly searched in the electronic databases. Statistical analysis was then performed using the Comprehensive Meta-Analysis software (Version 3). Effect of MSC therapy on asthma model was assessed by Hedges's g with 95% confidence intervals (95% CIs). Random effect model was used due to the heterogeneity between the studies. RESULTS Meta-analysis of the 32 included studies showed that MSC transplantation was significantly in favor of attenuating lung injury and remodeling (Hedges's g = -9.104 ± 0.951 with 95% CI: -10.969 ∼ -7.240, P

Treating and preventing chronic pain require our understanding of how it develops and maintains. Löffler et al. (2022)

We report the experimental results of magnetotransport on the single crystal ${\mathrm{MoGe}}_{2}$, which was theoretically predicated to be a topological insulator. The resistivity of ${\mathrm{MoGe}}_{2}$ exhibits a metallic behavior at zero field, while with magnetic fields applied along the $z$ axis and perpendicular to current, ${\mathrm{MoGe}}_{2}$ presents an upturn resistivity behavior and unsaturated quadratic large magnetoresistance (MR). The analysis of Hall effect shows that ${\mathrm{MoGe}}_{2}$ is a compensated semimetal with high mobilities at low temperatures, which is the origin of resistivity upturn and unsaturated large MR. As magnetic fields parallel to current, ${\mathrm{MoGe}}_{2}$ shows a weak antilocalization effect at low fields and a pronounced negative MR at higher fields, which is analogous to the picture of the Adler-Bell-Jackiw axial anomaly. Our results indicate that ${\mathrm{MoGe}}_{2}$ is a topological semimetal rather than a topological insulator, and will encourage further theoretical and experimental investigations on this compound.