Whole-genome sequencing of species isolated from the healthy human eye and description of sp. nov.

Currently, the genus comprises 76 recognized species. Members of are mostly isolated from environmental, animal, and plant sources. This report describes and proposes a novel species of isolated from clinical specimens of the human ocular surface.

Dynamic assessment and system dynamics simulation of safety risk in whole life cycle of coal mine.

Based on the accident causation theory, the mechanism and inducement of construction safety risk in mining enterprises are clarified. The safety risk system of mining enterprises is divided into five subsystems: personnel, material equipment, technology, environment, and management by rough set theory. The comprehensive weight of each risk factor is calculated by network analytic hierarchy process and fuzzy comprehensive evaluation method.

Acceptability and perception of COVID-19 vaccines among foreign medical students in China: A cross-sectional study.

Background: Acceptability and perception of the COVID-19 vaccine among different social groups have been the subject of several studies. However, little is known about foreign medical students in Chinese universities.

Aim: This study, therefore, fills the literature gap using a focus group technique to assess the acceptance and perception of the COVID-19 vaccine among foreign medical students in China.

Workplace loneliness mediates the relationship between perceived organizational support and job performance: Differing by extraversion.

This study investigated the mediating role of workplace loneliness relating perceived organizational support to job performance, as well as the moderating role of extraversion in such relationship. 332 full-time Chinese employees from various enterprises voluntarily participated in the two-wave surveys either paper-and-pencil or online survey conducted at Credamo and Tencent Questionnaire website. Hierarchical regression and bootstrapping analyses were employed to examine the hypotheses.

Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency.

The prediction system EpiSIX was used to study the COVID-19 epidemic in mainland China between November 2022 and January 2023, based on reported data from December 9, 2022, to January 30, 2023, released by The Chinese Center for Disease Control and Prevention on February 1, 2023. Three kinds of reported data were used for model fitting: the daily numbers of positive nucleic acid tests and deaths, and the daily number of hospital beds taken by COVID-19 patients. It was estimated that the overall infection rate was 87.

Research on the Effect of Digital Economy on Carbon Emissions under the Background of "Double Carbon".

(1) Background: In light of the global economy's digitalization and the "double carbon" target constraint, the digital economy is essential to fostering scientific and technological innovation, green growth, and lowering energy emissions. (2) Methods: This paper measures the digital economic index and carbon emission intensity and analyzes their characteristics in spatial and temporal dimensions using 282 Chinese urban panel data by improving various statistical methods of panel data, such as the entropy method, fixed effect model, multi-period DID model, moderating effect model and intermediary effect model. This paper examines the extent and mechanism of the digital economy's impact on urban carbon emissions.

The Effect of Family Fertility Support Policies on Fertility, Their Contribution, and Policy Pathways to Fertility Improvement in OECD Countries.

The cost of childbirth has been confirmed as a vital factor in families' fertility decision-making, and family welfare policies are capable of compensating for the increase in household living expenses regarding childbirth, such that the country's fertility situation can be optimized. In this study, the fertility promotion effects of family welfare policies in OECD(Organization for Economic Co-operation and Development) countries are investigated through regression analysis, grey correlation (GRA), and the fuzzy set qualitative comparative analysis fsQCA method. As indicated by the results: (1) Family welfare policies notably boost fertility, and the boosting effect is long-lasting.

Closing the Gap between Carbon Neutrality Targets and Action: Technology Solutions for China's Key Energy-Intensive Sectors.

Facing significant carbon emissions annually, China requires a clear decarbonization strategy to meet its climate targets. This study presents a MESSAGEix-CAEP model to explore Chinese decarbonization pathways and their cost-benefit under two mitigation scenarios by establishing connections between five energy-intensive sectors based on energy and material flows. The results indicated the following: 1) Interaction and feedback between sectors should not be disregarded.

[Effect of the Process of Returning Farmland to Forest in the Loess Hilly Area on Soil Fungal Communities].

The conversion of farmland to forest significantly affects soil bacterial communities in the Loess Plateau. However, how soil fungal communities respond to the conversion of farmland to forest is not very clear in this region. To illustrate the problem, the loess hilly area located in Jiajiayao, Youyu County, Shanxi Province was taken as the study area, and soil from farmland (growing corn and millet) and artificial forest (growing sea buckthorn and Caragana) were sampled.

A cost-effective smartphone-based device for rapid -reaction protein (CRP) detection using magnetoelastic immunosensor.

-Reaction protein (CRP) is a marker of nonspecific immunity for vital signs and wound assessment, and it can be used to diagnose infections in clinical medicine. However, measuring CRP level currently requires hospital-based instruments, high-cost reagents, and a complex process, all of which have limited its full capabilities for self-detection, a growing trend in modern medicine. In this study, we developed a novel smartphone-based device using advanced methods of magnetoelastic immunosensing to mitigate these limitations.

Trends and risk factors of global incidence, mortality, and disability of genitourinary cancers from 1990 to 2019: Systematic analysis for the Global Burden of Disease Study 2019.

Background: The incidence of kidney, bladder, and prostate cancer ranked ninth, sixth, and third in male cancers respectively, meanwhile, the incidence of testicular cancer also increased gradually in the past 30 years.

Objective: To study and present estimates of the incidence, mortality, and disability of kidney, bladder, prostate, and testicular cancer by location and age from 1990 to 2019 and reveal the mortality risk factors of them.

Materials: The Global Burden of Diseases Study 2019 was used to obtain data for this research.

Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin.

Exploring spatiotemporal evolution features and factors affecting pollution reduction and carbon abatement on the urban agglomeration scale is helpful to better understand the interaction between ecological environment and economic development in urban agglomerations. In this study, we constructed an evaluation index system for collaborative governance of pollution reduction and carbon abatement in urban agglomerations. In addition, we employed the correlation coefficient matrix, the composite system synergy model, the Gini coefficient, and the Theil index to evaluate the level of and regional differences in collaborative governance of pollution reduction and carbon abatement in seven urban agglomerations in the Yellow River Basin from 2006 to 2020.

External supply risk of agricultural products trade along the Belt and Road under the background of COVID-19.

Agricultural product trade along the Belt and Road (B&R) is an important part of the international food security system, the vulnerabilities of which have been highlighted by the recent COVID-19 pandemic. Based on the complex network analysis, this study analyzes the characteristics of agricultural products trade network along the B&R. It also combines the effects of COVID-19 with the import trade volume of agricultural products in countries along the B&R to build a risk supply model of agricultural products.

Analysis of technological innovation on provincial green development levels of logistics industry in China.

The transition from traditional logistics to green and low-carbon logistics is crucial and inevitable due to the pressure of climate change and sustainable development in China. Meanwhile, technological innovation is perceived as an important factor affecting the development of the logistics industry. To explore the impacts of technological innovation and other factors and to propose proper policies based on the results, this study utilizes a generalized estimating equations (GEE) regression model to analyze panel data of 30 provinces during 2001-2019.

Spatio-Temporal Development of Vegetation Carbon Sinks and Sources in the Arid Region of Northwest China.

Drylands, which account for 41% of Earth's land surface and are home to more than two billion people, play an important role in the global carbon balance. This study analyzes the spatio-temporal patterns of vegetation carbon sinks and sources in the arid region of northwest China (NWC), using the net ecosystem production (NEP) through the Carnegie-Ames-Stanford approach (CASA). It quantitatively evaluates regional ecological security over a 20-year period (2000-2020) via a remote sensing ecological index (RSEI) and other ecological indexes, such as the Normalized Difference Vegetation Index (NDVI), fraction of vegetation cover (FVC), net primary productivity (NPP), and land use.

From Agricultural Green Production to Farmers' Happiness: A Case Study of Kiwi Growers in China.

Happiness is the ultimate goal of everyone working and earning wealth. At present, in the vast rural areas of China, the excessive and unscientific application of chemical fertilizers and pesticides is raising serious concerns for environmental protection. The Chinese government has strongly promoted agricultural green production as an alternative to the previous agricultural paradigm that sacrificed the environment.

Towards preferential selection in the prisoner's dilemma game.

In previous works, the choice of learning neighbor for an individual has generally obeyed pure random selection or preferential selection rules. In this paper, we introduce a tunable parameter ε to characterize the strength of preferential selection and focus on the transition towards preferential selection in the spatial evolutionary game by controlling ε to guide the system from pure random selection to preferential selection. Our simulation results reveal that the introduction of preferential selection can hugely alleviate social dilemmas and enhance network reciprocity.

Assessing risk from invasive alien plants in China: Reconstructing invasion history and estimating distribution patterns of and .

Introduction: The establishment of invasive alien plants (IAPs) is primarily driven by climate warming and human activities, and their populations have a negative impact on agricultural economics, ecological systems, and human health. and are critical IAPs in China because they reduce the quality of cereal grains and decrease wheat yields. is a winter-temperate weed that spreads easily and is poisonous to humans and animals.

Group citizenship behaviour in healthcare organization, doctor-patient relationship, work engagement and turnover intention: A moderated mediation model.

The effective functioning of health care organisations depends on the inter-professional collaboration among healthcare professionals from diverse backgrounds, representing different work units, to provide quality services. This study aims to understand how group citizenship behaviour (GCB) that supports other work groups may moderate the relationship between doctor-patient relationship (DPR), Work Engagement (WE) and Turnover Intention (TI). The data for this study were collected through two waves of questionnaire survey at a tertiary public hospital in China.

Clinicopathological Significance and Molecular Mechanism of AKT/GSK3β Pathway-based Fibrillin-1 Expression in Gastric Cancer Progression.

This research was developed to explore the significance of fibrillin-1 (FBN1) in the progression of gastric cancer and its relationship with the activation of the AKT/glycogen synthase kinase-3beta (GSK3β) pathway. For this aim, immunohistochemical assays were adopted to detect FBN1 expression in chronic superficial gastritis, chronic atrophic gastritis, gastric cancer, and normal mucosa. The expression of FBN1 in gastric cancer and adjacent tissue samples was detected by reverse transcription-quantitative (RT-q) PCR and Western blot, and the relationship between FBN1 and the clinicopathological features of gastric cancer patients was analyzed.

Research on the innovation of time-honored brands from the perspective of dual ethical patterns.

Introduction: Innovation has become an important means to promote the high-quality development of time-honored brands. However, the research on how to stimulate innovation investment in time-honored brands, especially that conducted in the local context, is still rare. To supplement the research limitations, this study adopts the perspective of dual ethical patterns and is set in the domestic context to explore the ethical influence of traditional cultures and marketization on the innovation investment of time-honored brands.

Comparative transcriptome analysis of Callosobruchus chinensis (L.) (Coleoptera: Chrysomelidae-Bruchinae) after heat and cold stress exposure.

Callosobruchus chinensis is regarded as one of the cosmopolitan pests of legume crops and can cause tremendous losses to a variety of beans. This study focused on comparative transcriptome analyses of C. chinensis exposed to 45 °C (heat stress), 27 °C (ambient temperature) and -3 °C (cold stress) for 3 h to investigate the gene differences and underlying molecular mechanisms.

A total variation prior unrolling approach for computed tomography reconstruction.

Background: With the rapid development of deep learning technology, deep neural networks can effectively enhance the performance of computed tomography (CT) reconstructions. One kind of commonly used method to construct CT reconstruction networks is to unroll the conventional iterative reconstruction (IR) methods to convolutional neural networks (CNNs). However, most unrolling methods primarily unroll the fidelity term of IR methods to CNNs, without unrolling the prior terms.