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Abstract Background The nursing profession is characterized by high intensity and significant stress. Nurses must not only manage heavy workloads but also address diverse patient needs, engage in emotional labor, and cope with occupational exposure risks. These factors collectively contribute to substantial work-related stress for nurses. Currently, there is limited research on identifying distinct categories of nurse stress profiles and their influencing factors. Objectives This study aimed to explore the potential categories of perceived stress among nurses using Latent profile analysis (LPA) and to analyze the influence of sociodemographic factors, effort-reward imbalance, and perceived organizational support on perceived stress categories. Design Cross-sectional study Methods Data were collected via electronic surveys from 696 nurses in Shanxi Province, China, from February 18 to 28, 2023. The survey parameters included sociodemographic characteristics, nurse job stressors scale, effort-reward imbalance scale, and perceived organizational support scale. Latent profile analysis (LPA) was used to classify the perceived stress levels of nurses, and disordered multi-classification logistic regression was used to identify the influencing factors. Results The most suitable model was a three-profile model, comprising the “low perceived stress” group (10.5%), “moderate perceived stress” group (66.7%), and “high perceived stress” group (22.8%). Multi-classification logistic regression analysis showed that average working hours per day (OR = 3.022, p = 0.026), extrinsic effort (C2 vs. C1, OR = 1.589, p < 0.001; C3 vs. C1, OR = 2.515, p < 0.001), and perceived organizational support (C2 vs. C1, OR = 0.853, p < 0.001; C3 vs. C1, OR = 0.753, p < 0.001) were the factors influencing the classification of nurses’ perceived stress. Conclusions Latent profile analysis revealed that nurses’ perceived stress exhibits distinct characteristics. It is recommended that clinical administrators should identify these characteristics and the influencing factors of different nurse categories, and adopt targeted intervention strategies to reduce the levels of perceived stress.

Abstract Alien species invasion and habitat destruction are among the primary threats to native animal communities, particularly for native predator–prey systems. However, when predator invasion and habitat destruction co‐occur, it remains unclear whether their respective threats to native systems compensate each other or accumulate, as well as how these effects respond to the different characteristics of predator invasion and habitat destruction. In this study, we developed a spatially explicit simulation model with one prey species and one predator species and exposed it to invasive predators and habitat destruction with different properties. The results revealed the following insights: (1) Habitat destruction can compensate threats to native predator–prey systems from global predator invasion only when native predators possess predation capability similar to those of the invaders. In other scenarios, cumulative effects arise from predator invasion and habitat destruction. (2) Low levels of habitat destruction occurring at a faster rate, in conjunction with a substantial number of global invasive predators being present, can better compensate their respective threats to native predator–prey systems than the other scenarios. These findings provide valuable insights into situations where habitat destruction and alien species invasion coincide. They raise the question of whether we can leverage the interaction between them to reduce threats to biodiversity.

Abstract Background Woolly rhinoceros (Coelodonta antiquitatis) is a typical indicator of cold-stage climate that was widely distributed in Northern Hemisphere during the Middle-Late Pleistocene. Although a plethora of fossils have been excavated from Northern China, their phylogenetic status, intraspecific diversity and phylogeographical structure are still vague. Results In the present study, we generated four mitogenomes from Late Pleistocene woolly rhinoceros in Northern China and compared them with published data. Bayesian and network analyses indicate that the analyzed individuals contain at least four maternal haplogroups, and Chinese samples fall in three of them. One of our samples belongs to a previously unidentified early diverging clade (haplogroup D), which separated from other woolly rhinoceros around 0.57 Ma (95% CI: 0.76–0.41 Ma). The timing of this clade’s origin coincides with the first occurrence of woolly rhinoceros, which are thought to have evolved in Europe. Our other three samples cluster in haplogroup C, previously only identified from one specimen from Wrangel Island (ND030) and initially considered to be an isolated clade. Herein, our findings suggest that ND030 is likely descended from a northward dispersal of the individuals carrying haplogroup C from Northern China. Additionally, Chinese woolly rhinoceros specimens exhibit higher nucleotide diversity than those from Siberia. Conclusion Our findings highlight Northern China as a possible refugium and a key evolution center of the Pleistocene woolly rhinoceros.

The TIFY family is a plant-specific gene family that is involved in regulating a variety of plant processes, including developmental and defense responses. The Cymbidium species have certain ornamental and ecological value. However, the characteristics and functions of TIFY genes in Cymbidium remain poorly understood. This study conducted a genome analysis of the TIFY gene family in Cymbidium goeringii, C. ensifolium, and C. sinense and investigated their physicochemical properties, phylogenetic relationships, gene structures, and expression patterns under heat stress in C. goeringii. C. goeringii (26), C. ensifolium (19), and C. sinense (21). A total of 66 TIFY genes were identified, and they were classified into four subfamilies (JAZ, ZML, PPD, and TIFY) based on their systematic evolutionary relationships. Sequence analysis showed that TIFYs contained a conserved TIFY domain and that genes within the same subfamily had structural similarity. Analysis of cis-regulatory elements revealed that these genes contain numerous light-responsive elements and stress-responsive elements. We subjected C. goeringii (16 h light/8 h dark) to 24 h of 38 °C high-temperature stress in a climate chamber. Additionally, results from RT-qPCR experiments showed that under heat stress, the expression levels of eight genes in C. goeringii show significant differences. Among them, the JAZ subfamily exhibited the strongest response to heat stress, initially showing upregulation followed by a downregulation trend. In conclusion, this study investigated the role of TIFY genes in three Cymbidium species, providing insights into C. goeringii under heat stress.

Abstract Aim The aim of the study was to investigate the incidence of sleep disturbance and its relationship with anxiety and depression symptoms, social support and hope in breast cancer patients in China during chemotherapy. Design A single‐centre cross‐sectional study. Methods A total of 329 breast cancer patients were selected via convenience sampling method before they began chemotherapy (n = 115), before the 5th week of chemotherapy (n = 117) or 1 month after chemotherapy ended (n = 97) and administered paper‐and‐pencil questionnaires to evaluate sleep quality, depression and anxiety symptoms, social support and hope. Risk factors significantly associated with sleep disturbance during bivariate were incorporated in the multivariate analysis. Bivariate analyses showed that age, menopausal status, depression and anxiety symptoms, emotional/informational support, tangible support, affectionate support, positive social interaction and total support were predictors of sleep disturbance. Results Sleep disturbance was prevalent in breast cancer patients before (27.0%), during (32.5%) and after (39.2%) chemotherapy, with 37.4%, 41.9% and 52.6% of participants, respectively, reporting sleeping below the recommended 7 h. Only 8.6%–15.5% of patients reported taking sedative‐hypnotic drugs during the chemotherapy. Multivariate analyses found that participants reporting clinically significant anxiety (HADS > 8) were 3.5 times more likely to report sleep disturbance (PSQI > 8) than participants without clinically significant anxiety, and each increment in emotional/informational support was associated with a 9.04% reduced risk of sleep disturbance. Moreover, age was an independent predictor of sleep disturbance during multivariate modelling.

Summary: The significant anatomical changes in large intestine of germ-free (GF) mice provide excellent material for understanding microbe-host crosstalk. We observed significant differences of GF mice in anatomical and physiological involving in enlarged cecum, thinned mucosal layer and enriched water in cecal content. Furthermore, integration analysis of multi-omics data revealed the associations between the structure of large intestinal mesenchymal cells and the thinning of the mucosal layer. Increased Aqp8 expression in GF mice may contribute to enhanced water secretion or altered hydrodynamics in the cecum. In addition, the proportion of epithelial cells, nutrient absorption capacity, immune function and the metabolome of cecum contents of large intestine were also significantly altered. Together, this is the first systematic study of the transcriptome and metabolome of the cecum and colon of GF mice, and these findings contribute to our understanding of the intricate interactions between microbes and the large intestine.

Abstract Land surface models such as the Community Land Model Version 5 (CLM5) are essential tools for simulating the behavior of the terrestrial system. Despite the extensive application of CLM5, limited attention has been paid to the underlying uncertainties associated with its hydrological parameters and how these uncertainties affect water resource applications. To address this long-standing issue, we use five meteorological datasets to conduct a comprehensive hydrological parameter uncertainty characterization of CLM5 over the hydroclimatic gradients of the conterminous United States. Key datasets produced from the uncertainty characterization experiment include: a benchmark dataset of CLM5 default hydrological performance, parameter sensitivities for 28 hydrological metrics, and large-ensemble outputs for CLM5 hydrological predictions. The presented datasets will assist CLM5 calibration and support broad applications, such as evaluating drought and flood vulnerabilities. The datasets can be used to identify the hydroclimatological conditions under which parametric uncertainties demonstrate substantial effects on hydrological predictions and clarify where further investigations are needed to understand how hydrological prediction uncertainties interact with other Earth system processes.

The ARF gene family is a representative transcription factor that plays a crucial role in the regulation of various growth and development processes in plants. Although the ARF gene family has been identified in five Orchidaceae species, limited research has been conducted on the ARF gene within Dendrobium. To explore ARF family genes in different Dendrobium species, we selected chromosome-level genomic data from D. nobile, D. chrysotoxum, and D. huoshanense for genome-wide identification, and to analyze expression patterns in the D. nobile flower. In this study, 13, 18, and 23 ARF genes were identified in the genomes of D. chrysotoxum, D. huoshanense, and D. nobile, respectively. These genes were then subsequently classified into four classes (Classes I, II, III, and IV) based on our phylogenetic analysis. Additional protein sequence analysis found that 30 ARF proteins with three classically conserved structural domains (BDB, MR, and RD) were present in the three Dendrobium species. Our gene structure comparative analysis also found the same evolutionary branch with similar intron-exon structural features. Specifically, Class I and Class III display longer introns that potentially constitute a distinctive characteristic of Dendrobium. Gene expression patterns analysis showed the potential involvement of DnoARF 5, 7, 10, 11, 12, 13, 16, 17, and 23 in initial differentiation and flower bud formation. Likewise, transcriptomic analysis and RT-qPCR expression profiles indicated flower-specific expression patterns for four ARF genes (DnoARF5, DnoARF6, DnoARF16, and DnoARF22), which suggest an important impact on flower development and regulation. Ultimately, this study provides comprehensive data to elucidate the potential functions of ARF genes in three Dendrobium species and suggests new insights for further exploration concerning the function and regulatory mechanisms in Dendrobium during flower development.

Purpose The purpose of this study is to gain an in-depth understanding of the intraoperative waiting period experience and needs response of primary caregivers of patients with breast cancer.Method Using a purposive sampling method, 16 primary caregivers of patients with breast cancer admitted to the Department of Breast Surgery of Shanxi Bethune Hospital from January to May 2022 were selected as study subjects. Semistructured in-depth interviews were conducted using a qualitative research method.Results Five themes were extracted from the levels of safety and security, information transfer, emotion management, psychological adjustment and role adaptation: safety first and intraoperative care, lack of information and misdirection, negative emotions and tired of coping, ineffective worry and overthinking, and role multiplicity and bearing alone, respectively.Conclusion The intraoperative waiting period for primary caregivers of patients with breast cancer felt multidimensional and had less than optimal needs satisfaction. Healthcare professionals should use the existing needs as an entry point to give appropriate interventions to enhance the coping ability of caregivers of patients with breast cancer.

The importance of structural variants (SVs) for human phenotypes and diseases is now recognized. Although a variety of SV detection platforms and strategies that vary in sensitivity and specificity have been developed, few benchmarking procedures are available to confidently assess their performances in biological and clinical research. To facilitate the validation and application of these SV detection approaches, we established an Asian reference material by characterizing the genome of an Epstein-Barr virus (EBV)-immortalized B lymphocyte line along with identified benchmark regions and high-confidence SV calls. We established a high-confidence SV callset with 8938 SVs by integrating four alignment-based SV callers, including 109× Pacific Biosciences (PacBio) continuous long reads (CLRs), 22× PacBio circular consensus sequencing (CCS) reads, 104× Oxford Nanopore Technologies (ONT) long reads, and 114× Bionano optical mapping platform, and one de novo assembly-based SV caller using CCS reads. A total of 544 randomly selected SVs were validated by PCR amplification and Sanger sequencing, demonstrating the robustness of our SV calls. Combining trio-binning-based haplotype assemblies, we established an SV benchmark for identifying false negatives and false positives by constructing the continuous high-confidence regions (CHCRs), which covered 1.46 gigabase pairs (Gb) and 6882 SVs supported by at least one diploid haplotype assembly. Establishing high-confidence SV calls for a benchmark sample that has been characterized by multiple technologies provides a valuable resource for investigating SVs in human biology, disease, and clinical research.

Spatial patterns in lake evaporation increase with global warming are closely linked to regional hydroclimate drying through energetic and aerodynamic effects, according to analyses of ensemble projections of lake and climate models.

The sensitivity of urban canopy air temperature ( ${T_a}$ ) to anthropogenic heat flux ( ${Q_{AH}}$ ) is known to vary with space and time, but the key factors controlling such spatiotemporal variabilities remain elusive. To quantify the contributions of different physical processes to the magnitude and variability of $\Delta {T_a}/\Delta {Q_{AH}}$ (where $\Delta $ represents a change), we develop a forcing-feedback framework based on the energy budget of air within the urban canopy layer and apply it to diagnosing $\Delta {T_a}/\Delta {Q_{AH}}$ simulated by the Community Land Model Urban over the contiguous United States (CONUS). In summer, the median $\Delta {T_a}/\Delta {Q_{AH}}$ is around 0.01 ${\text{K }}{\left( {{\text{W }}{{\text{m}}^{ - {\text{2}}}}} \right)^{ - 1}}$ over the CONUS. Besides the direct effect of ${Q_{AH}}$ on ${T_a}$ , there are important feedbacks through changes in the surface temperature, the atmosphere–canopy air heat conductance ( ${c_a}$ ), and the surface–canopy air heat conductance. The positive and negative feedbacks nearly cancel each other out and $\Delta {T_a}/\Delta {Q_{AH}}$ is mostly controlled by the direct effect in summer. In winter, $\Delta {T_a}/\Delta {Q_{AH}}$ becomes stronger, with the median value increased by about 20% due to weakened negative feedback associated with ${c_a}$ . The spatial and temporal (both seasonal and diurnal) variability of $\Delta {T_a}/\Delta {Q_{AH}}$ as well as the nonlinear response of $\Delta {T_a}{\text{ }}$ to $\Delta {Q_{AH}}{\text{ }}$ are strongly related to the variability of ${c_a}$ , highlighting the importance of correctly parameterizing convective heat transfer in urban canopy models.

Both molecular data and archaeological evidence strongly support an African origin for the domestic donkey. Recent genetic studies further suggest that there were two distinct maternal lineages involved in its initial domestication. However, the exact introduction time and the dispersal process of domestic donkeys into ancient China are still unresolved. To address these questions, we retrieved three near-complete mitochondrial genomes from donkey specimens excavated from Gaoling County, Shaanxi Province, and Linxia Basin, Gansu Province, China, dated at 2,349-2,301, 469-311, and 2,160-2,004 cal. BP, respectively. Maximum-likelihood and Bayesian phylogenetic analyses reveal that the two older samples fall into the two different main lineages (i.e., clade Ⅰ and clade Ⅱ) of the domestic donkey, suggesting that the two donkey maternal lineages had been introduced into Midwestern China at least at the opening of Silk Road (approximately the first century BC). Bayesian analysis shows that the split of the two donkey maternal lineages is dated at 0.323 Ma (95% CI: 0.583–0.191 Ma) using root-tip dating calibrations based on near-complete mitogenomes, supporting the hypothesis that modern domestic donkeys go back to at least two independent domestication events. Moreover, Bayesian skyline plot analyses indicate an apparent female population increase between 5,000 and 2,500 years ago for clade I followed by a stable population size to the present day. In contrast, clade II keeps a relatively stable population size over the past 5,000 years. Overall, our study provides new insights into the early domestication history of Chinese domestic donkeys.

Flash droughts are widely discussed in the scientific community since the rapid onset of the 2012 drought in the USA. Here, the authors model the temporal frequency of potential flash drought events and the exposure risk over China for the next 80 years.

By enhancing evapotranspiration (ET), green roofs provide cooling benefits for the urban environment and are recognized as a promising heat mitigation strategy. The evaporative cooling effects of green roofs strongly depend on the soil moisture conditions and thus irrigation may be needed to sustain the cooling benefits. It has been shown that the magnitude of cooling benefits offered by green roof irrigation varies spatially, but its controlling factors remain elusive. In this study, we combine a surface energy balance (SEB) model with global simulations generated by an improved Earth System Model to illustrate the key factors controlling the cooling benefits of green roof irrigation. We employ a simple irrigation scheme, which is only active when there is no ice in soil layers and when the soil moisture is below field capacity. As a result, most of the irrigation water leaves the green roof system via ET. We find that the magnitude and also the spatial variability of the cooling benefits of green roof irrigation are controlled by the irrigation amount, and a surface energy redistribution factor that encodes the efficiencies of different SEB components in transferring heat. Further analysis indicates that the enhancement of latent heat flux due to irrigation is largely balanced by the reduction of sensible heat flux on green roofs. Therefore, the amount of irrigation needed per unit decrease of green roof surface temperature is mainly controlled by the convective heat transfer efficiency. A lower convective heat transfer efficiency (e.g. under a lower wind speed) helps reduce the amount of irrigation needed per unit decrease of green roof surface temperature. This study highlights the importance of SEB in constraining the cooling benefits of green roof irrigation and provides valuable guidance for urban planners and policy makers in terms of heat mitigation and sustainable water management.

Objective. To explore cortical reorganization of patients recovered from Bell’s palsy (BP) by task-state functional magnetic resonance imaging (fMRI) during finger and orofacial movements and provide more evidence for acupuncture clinical treatment of BP. Methods. We collected 17 BP patients with complete clinical recovery (BP group) and 20 healthy volunteers (control group) accepted the task-state fMRI scans with lip pursing movements and finger movements, respectively. Results. It was found that there were significant differences of brain functional status between the two groups. Conclusions. The results showed that there was cortical reorganization in the brain of patients recovered from BP after acupuncture treatment, which also suggested the relationship between the hand motor areas and facial motor areas of BP patients.

Urban surface and near-surface air temperatures are known to be often higher than their rural counterparts, a phenomenon now labeled as the urban heat island effect. However, whether the elevated urban temperatures are more persistent than rural temperatures at timescales commensurate to heat waves has not been addressed despite its importance for human health. Combining numerical simulations by a global climate model with a surface energy balance theory, it is demonstrated here that urban surface and near-surface air temperatures are significantly more persistent than their rural counterparts in cities dominated by impervious materials with large thermal inertia. Further use of these materials will result in even stronger urban temperature persistence, especially for tropical cities. The present findings help pinpoint mitigation strategies that can simultaneously ameliorate the larger magnitude and stronger persistence of urban temperatures. [ABSTRACT FROM AUTHOR]