Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the health information seeking behavior of social media users under the background of COVID-19 pandemic: An empirical study based on social cognitive theory

With the outbreak of COVID-19 in late 2019, people’s awareness of actively searching for health information has been growing. Coupled with the promotion of “Internet + medical and health,” social media, as an important platform for health information dissemination, has become one of the important information sources for users to obtain health information. However, health information seeking behavior in public health emergencies are quite different from those in daily life. Therefore, the research question of this paper is to explore the influencing factors of health information seeking behavior of social media users in the context of COVID-19. To this end, based on the research framework of social cognition theory, this paper selects six variables to construct a structural equation modeling, including information and platform quality, experience, social support, emotional arousal, self-efficacy, and social media users’ health information seeking behavior. The empirical study is carried out by collecting 219 valid questionnaires. The research results show that: (1) Information and platform quality, and use experience have a significant positive effect on emotional arousal; (2) Experience, social support, and emotional arousal have a significant positive effect on self-efficacy; (3) Emotional arousal and self-efficacy have a significant positive effect on social media users’ health information seeking behavior. The research provides an important theoretical reference for social media users and operators to cope with the huge demand for health information in the post-COVID-19 era.
Delineating Knowledge Domains in the Scientific Literature Using Visual Information

Figures are an important channel for scientific communication, used to express complex ideas, models and data in ways that words cannot. However, this visual information is mostly ignored in analyses of the scientific literature. In this paper, we demonstrate the utility of using scientific figures as markers of knowledge domains in science, which can be used for classification, recommender systems, and studies of scientific information exchange. We encode sets of images into a visual signature, then use distances between these signatures to understand how patterns of visual communication compare with patterns of jargon and citation structures. We find that figures can be as effective for differentiating communities of practice as text or citation patterns. We then consider where these metrics disagree to understand how different disciplines use visualization to express ideas. Finally, we further consider how specific figure types propagate through the literature, suggesting a new mechanism for understanding the flow of ideas apart from conventional channels of text and citations. Our ultimate aim is to better leverage these information-dense objects to improve scientific communication across disciplinary boundaries.
Status of work alienation among nurses in China: A systematic review

Background Work alienation is a common feeling of estrangement from the work and its context. Nurses are prone to feel alienated due to the high risk of infection, heavy workload, and the persistence of stress at high levels. Work alienation has serious negative outcomes, organizationally as well as personally. In recent years, the issue of work alienation among nurses has received considerable attention in China, but no systematic reviews have yet been published and its epidemiological status among Chinese nurses remains unclear. Objective To systematically evaluate the status and distribution characteristics of work alienation among nurses in China. Methods CINAHL, Embase, Web of Science, PubMed, CENTRAL, Wanfang, SinoMed, CNKI, and VIP were searched for cross-sectional studies before 10 January 2022 on the current status of work alienation among nurses. Two investigators independently screened the articles, extracted the data, and evaluated the risk of literature bias. Stata16.0 software was used for analysis. Results A total of 12 studies were included, with 7,265 nurses involved. Meta-analysis results showed that the score of work alienation was 35.43 [95%CI (31.82, 39.04)]. Subgroup analysis showed that the scores of male and female nurses were 37.62 and 35.79 respectively; the scores of junior, undergraduate, and graduate nurses were 34.90, 37.15, and 40.02 respectively; the scores of primary, intermediate, and senior nurses were 36.95, 35.38, and 33.11 respectively; the scores of unmarried and married nurses were 38.59 and 36.70 respectively; the scores of nurses who had worked for 1~ <6 years, 6~10 years, and more than 10 years were 37.46, 36.69, and 32.89 respectively; the scores of nurses with salary <5,000 yuan, 5,000~10,000 yuan, and more than 10,000 yuan were 40.25, 37.19 and 34.52 respectively; and the scores of nurses in emergency department and intensive care units, internal medicine, surgery, and pediatrics were 37.25, 38.73, 36.28, and 31.98 respectively. Conclusion Chinese nurses had a moderate level of work alienation. The scores of nurses in the following categories were quite high: male, higher education levels, low-professional titles, unmarried, shorter clinical working time, lower income, working in internal medicine, and working in the emergency department and intensive care units. Managers should take effective measures as soon as possible to reduce the occurrence of nurses' sense of work alienation. Systematic review registration https://www.crd. york.ac. uk/PROSPERO/, identifier CRD42022298746.
THE SYSTEMATIC WOOD ANATOMY OF THE MORACEAE (URTICALES)

Summary The wood anatomy of the Moreae without urticaceous stamens is described in detail. Ge neric descriptions of the following genera are provided: Antiaropsis, Artocarpus, Bagassa, Ba tocarpus, Clarisia, Parartocarpus, Poulsenia, Prainea, Sorocea, Sparattosyce, and Treculia. Wood anatomical variation below the genus level is very limited, except in the genus Clari sia. Intergeneric variation, however, is much more evident. Most genera can be recognised by the presence or absence of septate fibres, and of radial latex tubes, the size of the inter vascular pits, the parenchyma distribution, and crystal distribution. The diagnostic and taxon omic value of several characters is discussed.
Torsors on loop groups and the Hitchin fibration

In his proof of the fundamental lemma, Ngo established the product formula for the Hitchin fibration over the anisotropic locus. One expects this formula over the larger generically regular semisimple locus, and we confirm this by deducing the relevant vanishing statement for torsors over loop groups $R((t))$ from a general formula for $\mathrm{Pic}(R((t)))$. In the build up to the product formula, we present general algebraization, approximation, and invariance under Henselian pairs results for torsors, give short new proofs for the Elkik approximation theorem and the Chevalley isomorphism $\mathfrak{g}//G \cong \mathfrak{t}/W$, and improve results on the geometry of the Chevalley morphism $\mathfrak{g} \rightarrow \mathfrak{g}//G$.
The Astrochemical Impact of Cosmic Rays in Protoclusters. II. CI-to-H2 and CO-to-H2 Conversion Factors

We utilize a modified astrochemistry code that includes cosmic-ray (CR) attenuation in situ to quantify the impact of different CR models on the CO-to-H2 and CI-to-H2 conversion factors, XCO and XCI, respectively. We consider the impact of CRs accelerated by accretion shocks, and show that clouds with star formation efficiencies greater than 2% have XCO = (2.5 ± 1) × 1020 cm−2(K km s−1)−1, consistent with Milky Way observations. We find that changing the CR ionization rate from external sources from the canonical ζ ≈ 10−17 to ζ ≈ 10−16 s−1, which better represents observations in diffuse gas, reduces XCO by 0.2 dex for clusters with surface densities below 3 g cm−2. We show that embedded sources regulate XCO and decrease its variance across a wide range of surface densities and star formation efficiencies. Our models reproduce the trends of a decreased XCO in extreme CR environments. XCI has been proposed as an alternative to XCO due to its brightness at high redshifts. The inclusion of internal CR sources leads to 1.2 dex dispersion in XCI ranging from 2 × 1020 < XCI < 4 × 1021 cm−2 (K km s−1)−1. We show that XCI is highly sensitive to the underlying CR model.
The Distribution and Abundance of Yellowtail Flounder (Limanda ferruginea) in Relation to Bottom Temperatures in NAFO Divisions 3LNO Based on Multi-Species Surveys from 1990-2005

An analysis of near-bottom temperatures in NAFO Divisions 3LNO during spring and fall surveys are presented in relation to the spatial distributions and abundance of yellowtail flounder for the years 1990 to 2005. The thermal habitat in the 3LNO region has shifted from mainly cold sub-zero °C conditions of the early 1990s, to a relatively warm environment from 1998 to 2000 with approximately 60% of the bottom covered by water >2°C by the fall of 1999 in water depths ≤100 m. Since the record-warm year of 1999 temperatures began to decrease reaching the lowest value since 1994 in the spring of 2003. During 2004 and 2005 however bottom temperatures recovered to warmer than normal values, similar to the late 1990s. The shift in the thermal habitat from the cold sub-zero °C conditions of the first half of the 1990s to a relatively warm environment during the latter half of the 1990s and early 2000s resulted in an increase in bottom temperatures to >0C values over almost 100% of the traditional bottom habitat of yellowtail flounder on the Grand Bank. Coincident with these changes there has been a significant increase in the number of yellowtail flounder per tow in survey sets in Div. 3NO and larger catches have become more widespread in the southern areas of Div. 3L. It appears that the most significant distributions of yellowtail are found south of the 0°C isotherm in warmer water and within the 100-m isobath on the Grand Banks. A strong association was found between bottom temperatures and mean catches rates in water depth <100 m on the southern Grand Bank with catch rates increasing with temperature. The results are discussed in terms of an improved thermal environment and other factors, possibly resulting in an associated increase in catchability and distribution.
Effects of repetitive peripheral magnetic stimulation on spasticity evaluated with modified Ashworth scale/Ashworth scale in patients with spastic paralysis: A systematic review and meta-analysis

Background Spasticity is a common motor disorder resulting from upper motor neuron lesions. It has a serious influence on an individual's motor function and daily activity. Repetitive peripheral magnetic stimulation (rPMS) is a non-invasive and painless approach developed for therapeutic intervention in clinical rehabilitation. However, the effectiveness of this intervention on spasticity in patients with spastic paralysis remains uncertain. Objective This study aimed to investigate the effectiveness of rPMS on spasticity, motor function, and activities of daily living in individuals with spastic paralysis. Methods PubMed, PEDro, Embase, Cochrane Library, and Web of Science were searched for eligible papers with date up to March 31, 2022. Two independent researchers conducted study screening, data extraction, and methodological quality assessment. RCTs that explored the effects of rPMS on spasticity, motor function, and activities of daily living in patients with spastic paralysis were included for review. The Cochrane collaboration tool was used to assess methodological quality. The cumulative effects of available data were processed for a meta-analysis using Reedman software. Results Eight studies with 297 participants were included. Most of the studies presented low to moderate risk of bias. Compared with the control group, the results showed that rPMS had a significant effect on spasticity (all spasticity outcomes: standardized mean difference [SMD] = −0.55, 95% confidence interval [CI]: −0.94 to −0.16, I2 = 40%, and P = 0.006, Modified Ashworth Scale: mean difference [MD] = −0.48, 95% CI: −0.82 to −0.14, I2 = 0%, and P = 0.006), motor function (Fugl–Meyer Assessment: MD = 4.17, 95% CI: 0.89 to 7.46, I2 = 28%, and P = 0.01), and activities of daily living (Barthel Index: MD = 5.12, 95% CI: 2.58 to 7.67, I2 = 0%, and P < 0.0001). No side effect was reported. Conclusion The meta-analysis demonstrated that the evidence supported rPMS in improving spasticity especially for passive muscle properties evaluated with Modified Ashworth Scale/Ashworth Scale, as well as motor function and daily activity of living in individuals with spastic paralysis. Study registration The reviewed protocol of this study is registered in the international prospective register of systematic reviews (PROSPERO) (CRD42022322395). Systematic review registration https://www.crd. york.ac. uk/PROSPERO/#recordDetails, identifier CRD42022322395.
Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer

Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment. Immunogenic cell death (ICD) is a unique form of regulated cell death that can activate the adaptive immune system through the release of DAMPs and cytokines in immunocompromised hosts and establish long-term immunologic memory. Therefore, this study aims to explore the prognostic value and underlying mechanisms of ICD-related genes in OC on the basis of characteristics. Methods: The gene expression profiles and related clinical information of OC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. ICD-related genes were collected from the Genecards database. ICD-related prognostic genes were obtained by intersecting ICD-related genes with the OC prognostic-related genes that were analyzed in the TCGA database. Functional enrichment, genetic mutation, and immune infiltration correlation analyses were further performed to identify underlying mechanisms. Subsequently, we developed a TCGA cohort-based prognostic risk model that included a nine-gene signature through univariate and multivariate Cox regression and LASSO regression analyses. Meanwhile, external validation was performed on two sets of GEO cohorts and the TCGA training cohort for three other common tumors in women. In addition, a nomogram was established by integrating clinicopathological features and ICD-related gene signature to predict survival probability. Finally, functional enrichment and immune infiltration analyses were performed on the two risk subgroups. Results: By utilizing nine genes (ERBB2, RB1, CCR7, CD38, IFNB1, ANXA2, CXCL9, SLC9A1, and SLAMF7), we constructed an ICD-related prognostic signature. Subsequently, patients were subdivided into high- and low-risk subgroups in accordance with the median value of the risk score. In multivariate Cox regression analyses, risk score was an independent prognostic factor (hazard ratio = 2.783; p < 0.01). In the TCGA training cohort and the two GEO validation cohorts, patients with high-risk scores had worse prognosis than those with low-risk scores (p < 0.05). The time-dependent receiver operating characteristic curve further validated the prognostic power of the gene signature. Finally, gene set enrichment analysis indicated that multiple oncological pathways were significantly enriched in the high-risk subgroup. By contrast, the low-risk subgroup was strongly related to the immune-related signaling pathways. Immune infiltration analysis further illustrated that most immune cells showed higher levels of infiltration in the low-risk subgroup than in the high-risk subgroup. Conclusion: We constructed a novel ICD-related gene model for forecasting the prognosis and immune infiltration status of patients with OC. In the future, new ICD-related genes may provide novel potential targets for the therapeutic intervention of OC.
ToLCNDV-ES infection in tomato is enhanced by TYLCV: Evidence from field survey and agroinoculation

The tomato leaf curl New Delhi virus (ToLCNDV), a bipartite begomovirus (family Geminiviridae), poses a significant threat to various horticultural crops in many Asian and Mediterranean countries. Since its identification, the Asian strain of this virus has exhibited severe infectivity and caused high yield loss in tomato and cucurbit production in the Indian subcontinent and other parts of Asia. ToLCNDV-ES, a different strain of ToLCNDV, emerged recently in the Mediterranean Basin and caused significant outbreaks in Cucurbitaceae species but has shown low adaptation to tomatoes. In a field survey, tomato plants infected with this Mediterranean strain were not discovered. Nevertheless, the same field survey revealed that ToLCNDV-ES occurred in natural double infection with tomato yellow leaf curl virus (TYLCV) in tomato plants with an infection ratio of up to 50%. Moreover, results obtained from experiments where tomato plants agro-inoculated simultaneously with infectious clones of ToLCNDV-ES and TYLCV showed that ToLCNDV-ES was detected in tomatoes while synergized with TYLCV with infection ratios similar to those found under field conditions. Quantitative PCR data indicated the highest amount of ToLCNDV in co-infected plants and no significant change in TYLCV titers among the different mixed infections. Moreover, it was ascertained that not all begomoviruses can enhance the infectivity of Mediterranean ToLCNDV isolates in tomato plants. Our study reports a new finding regarding the ToLCNDV-ES response in tomato while synergized with TYLCV with evidence from both field and laboratory conditions.
Regulation of FSH b induction in L b T 2 cells by BMP 2 and anActivin A / BMP 2 chimera , AB 215

Activins and bone morphogenetic proteins (BMPs) share activin type 2 signaling receptors but utilize different type 1 receptors and Smads. We designed AB215, a potent BMP2-like Activin A/BMP2 chimera incorporating the high-affinity type 2 receptor-binding epitope of Activin A. In this study, we compare the signaling properties of AB215 and BMP2 in HEK293T cells and gonadotroph LbT2 cells in which Activin A and BMP2 synergistically induce FSHb. In HEK293T cells, AB215 is more potent than BMP2 and competitively blocks Activin A signaling, while BMP2 has a partial blocking activity. Activin A signaling is insensitive to BMP pathway antagonism in HEK293T cells but is strongly inhibited by constitutively active (CA) BMP type 1 receptors. By contrast, the potencies of AB215 and BMP2 are indistinguishable in LbT2 cells and although AB215 blocks Activin A signaling, BMP2 has no inhibitory effect. Unlike HEK293T, Activin A signaling is strongly inhibited by BMP pathway antagonism in LbT2 cells but is largely unaffected by CA BMP type 1 receptors. BMP2 increases phospho-Smad3 levels in LbT2 cells, in both the absence and the presence of Activin A treatment, and augments Activin A-induced FSHb. AB215 has the opposite effect and sharply decreases basal phospho-Smad3 levels and blocks Smad2 phosphorylation and FSHb induction resulting from Activin A treatment. These findings together demonstrate that while AB215 activates the BMP pathway, it has opposing effects to those of BMP2 on FSHb induction in LbT2 cells apparently due to its ability to block Activin A signaling.
Logistic population change and the Mankiw-Romer-Weil model

This paper evaluates the dynamic effects of assuming a logistic law hypothesis for population growth into the Mankiw, Romer, Weil (hereafter MRW) neoclassical growth model [9]. Under this assumption, the model is described by a three dimensional dynamical system, which has a unique non-trivial steady state equilibrium that is a saddle point with a two dimensional stable manifold. As a result, the speed of convergence is determined by two stable roots, rather than only one as in the basic MRW model, so that its transitional adjustment paths are enriched. M.S.C. 2000: 91B62.
Effects of physical activity on the severity of illness and mortality in COVID-19 patients: A systematic review and meta-analysis

Purpose: This systematic review and meta-analysis investigated the association between Physical activity (PA) before Coronavirus Disease 2019 (COVID-19) infection and the severity of illness and mortality in COVID-19 patients. Methods: A comprehensive search was undertaken to identify retrospective and nonrandomized controlled trial studies comparing the severity and mortality of COVID-19 infection among COVID-19 patients who had previously reported their participation in PA with those who had not. The databases searched were PubMed, Cochrane Library, Scopus, Science Direct, EMBASE, OPENGREY.EU, and ClinicalTrials.gov. The risk of bias was assessed using the Newcastle-Ottawa Scale. A random-effects model was used for determining pairwise meta-analyses. The protocol was registered with PROSPERO (CRD42021262548). Results: Eighteen studies met the inclusion criteria (5 cross-sectional, 12 cohort, and 1 case-control studies). All 1 618 680 subjects were adults. PA significantly decreased the risk of death in COVID-19 patients (odds ratio [OR] 0.34; 95% confidence interval [CI], 0.19–0.62; p < 0.001) and the risk of severe outcomes (OR 0.60; 95% CI, 0.48–0.76; p < 0.001). Subgroup analysis showed that PA for ≥150 min/wk at a moderate intensity or ≥75 min/wk at a vigorous intensity reduced the risks of severity and mortality. Vigorous PA reduced mortality risk, whereas moderate to vigorous PA reduced the risks of severity and mortality. Conclusion: PA before infection might reduce severity and mortality in COVID-19 patients, especially PA ≥ 150 min/wk of moderate activity or ≥75 min/wk of vigorous activity. However, careful interpretations should be considered due to the difference in PA patterns and severity definitions among included studies. This finding implies that engaging in regular PA, even in different patterns, has beneficial effects on the severity and mortality of COVID-19 patients.
A literature review: Generative adversarial networks for civil structural health monitoring

Structural Health Monitoring (SHM) of civil structures has been constantly evolving with novel methods, advancements in data science, and more accessible technology to address issues related to structural safety, operations, and resiliency. Research and development in the civil SHM field during the last few decades have been progressive due to the increasing use of Artificial Intelligence (AI) methods such as Machine Learning (ML) and Deep Learning (DL). Particularly, Generative Adversarial Networks (GAN), which is a subfamily of Deep Learning has been highly favored in the SHM community within the last couple of years. After its release in 2014, GANs (original GAN and other GAN variants) have been in use for a wide variety of applications in various disciplines, and it has been one of the most popular research topics in the AI-ML domain. While there has not been a review study on the applications of GAN in the civil SHM field, this paper aims to fill this gap by presenting a literature review of the studies that employed GAN specifically in civil SHM applications from 2014 to date, in a condensed format. This study intends to inform SHM practitioners and researchers about GANs and present the highlights of the published work on GANs in the civil SHM field.