Analysis on acupoint selection rules in the treatment of metabolism-associated fatty liver disease based on data mining. / åŸºäºŽæ•°æ®æŒ–æŽ˜æŠ€æœ¯åˆ†æžé’ˆç¸æ²»ç–—ä»£è°¢ç›¸å ³è„‚è‚ªæ€§è‚ç— çš„é€‰ç©´è§„å¾‹.

OBJECTIVES: To explore the rules of acupoint selection in the treatment of metabolic-associated fatty liver disease (MAFLD) with acupuncture and moxibustion by using data mining technology. METHODS: The clinical research literature on acupuncture treatment of MAFLD was collected from PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, VIP Database and China Biology Medicine from their inception to November 20, 2022. According to our inclusion and exclusion criteria, the literature was independently screened and re-screened by two research members, and the screened results were checked, followed by establishing an acupoint prescription database using Excel 2019. Descriptive statistics of acupoints applied frequency, involved meridians, locations and specific acupoints were perpormed. Then, SPSS Modeler18.0 software was used to conduct analysis about association rules, and the SPSS Statistics 26.0 software was used to perform cluster analysis on high-frequency acupoints, exploring the characteristics and rules of acupoint selection and combination in the treatment of MAFLD. RESULTS: Totally, 178 papers were collected, containing 130 acupoints, with a total application frequency of 1 305. The top five acupoints are Zusanli (ST36), Fenglong (ST40), Ganshu (BL18), Taichong (LR3) and Sanyinjiao (SP6). The commonly involved meridians are the Stomach Meridian of Foot Yangming, Bladder Meridian of Foot Taiyang, and Spleen Meridian of Foot Taiyin. The employed acupoints are mostly located in the lower limbs and abdomen, and the five Shu acupoints and crossing acupoints are in the majority. The association rule analysis of high frequency acupoints indicated that of the 16 qualified acupoint groups, the top 5 with close correlation degrees are ST36 and ST40, ST36 and LR3, ST36 and SP6, ST40 and LR3 and ST36, ST36 and SP6 and ST40. Further, 3 effective clusters were obtained by cluster analysis. CONCLUSIONS: Acupuncture and moxibustion treatment of MAFLD follows the therapeutic principles of soothing the liver, invigorating the spleen, tonifying the kidney, and resolving phlegm and removing dampness. The core acupoint group is ST36, ST40 and LR3, and the combination of acupoints is based on syndrome differentiation. These results may provide a useful reference for clinical practice.

Entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration.

The operation and maintenance of railway signal systems create a significant and complex quantity of text data about faults. Aiming at the problems of fuzzy entity boundaries and low accuracy of entity recognition in the field of railway signal equipment faults, this paper provides a method for entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration. First, the model utilizes the RoBERTa-wwm pretrained language model to get the word vector of text sequences. Second, a parallel network consisting of a BiLSTM and a CNN is constructed to obtain the context feature information and the local attention information, respectively. Third, the feature vectors output from BiLSTM and CNN are combined and fed into MHA, focusing on extracting key feature information and mining the connection between different features. Finally, the label sequences with constraint relationships are outputted in CRF to complete the entity recognition task. The experimental analysis is carried out with fault text of railway signal equipment in the past ten years, and the experimental results show that the model has a higher evaluation index compared with the traditional model on this dataset, in which the precision, recall and F1 value are 93.25%, 92.45%, and 92.85%, respectively.

Increased CO2 fixation enables high carbon-yield production of 3-hydroxypropionic acid in yeast.

CO2 fixation plays a key role to make biobased production cost competitive. Here, we use 3-hydroxypropionic acid (3-HP) to showcase how CO2 fixation enables approaching theoretical-yield production. Using genome-scale metabolic models to calculate the production envelope, we demonstrate that the provision of bicarbonate, formed from CO2, restricts previous attempts for high yield production of 3-HP. We thus develop multiple strategies for bicarbonate uptake, including the identification of Sul1 as a potential bicarbonate transporter, domain swapping of malonyl-CoA reductase, identification of Esbp6 as a potential 3-HP exporter, and deletion of Uga1 to prevent 3-HP degradation. The combined rational engineering increases 3-HP production from 0.14 g/L to 11.25 g/L in shake flask using 20 g/L glucose, approaching the maximum theoretical yield with concurrent biomass formation. The engineered yeast forms the basis for commercialization of bio-acrylic acid, while our CO2 fixation strategies pave the way for CO2 being used as the sole carbon source.

Spatiotemporal distributions and ecological risk of polycyclic aromatic hydrocarbons in the surface seawater of Laizhou Bay, China.

The spatial-temporal distribution, source, and potential ecological risk of polycyclic aromatic hydrocarbons (PAHs) in surface seawater from Laizhou Bay were investigated. The total PAH (ΣPAH) concentrations ranged from 277 to 4393 ng/L with an average of 1178 ng/L, thereby suggesting a relatively moderate to high PAH exposure level in Laizhou Bay in comparison to other bays in the world. The composition patterns and source apportionment results revealed that the coal, biomass burning, diesel emissions, and petroleum combustion as well as the combination of these processes were the dominant sources of PAHs in the surface water, which were closely associated with sail process and sewage effluents. The ecological risk assessment indicated that benzo(a)pyrene (BaP), phenanthrene (Phe), luoranthene (Flua), and naphthalene (Nap) would exist ecological risks in most of surface seawater sites, but the probabilistic risk assessment (PRA) results showed that the current level of risk is not as severe as the risk quotient (RQ) results revealed.

Continuous production of bimetallic nanoparticles on carbon nanotubes based on 3D-printed microfluidics.

Nanoparticle-functionalized carbon nanotubes are promising in many research fields, especially in sensing, due to their intriguing performance in catalysis. However, these nanomaterials are mainly produced through batch processes under harsh conditions, thus encountering inherent limitations of low throughput and uncontrollable morphology of functional nanoparticles (NPs). In this work, we propose a method for high-yield and continuous production of bimetallic (Pt-Pd) NPs on multi-walled carbon nanotubes (MWCNTs) at room temperature through a custom 3D-printed microfluidic platform. A homogenous particle nucleation and growth environment could be created on the microfluidic platform that was equipped with two 3D-printed micromixers. Pt-Pd NPs loaded on MWCNTs were prepared in the microfluidic platform with high throughput and controlled size, dispersity and composition. The synthetic parameters for these nanocomposites were investigated to optimize their electrocatalytic performance. The optimized nanocomposites exhibited excellent electrocatalytic activity with exceptional sensitivity and wide detection range, superior to their counterparts prepared via conventional approaches. This method proposed here could be further adapted for manufacturing other catalyst support materials, opening more avenues for future large-scale production and catalytic investigation of functional nanomaterials.

Association between medication literacy and blood pressure control among hypertensive patients.

AIM: This study aimed to explore the association between medication literacy and blood pressure control among hypertensive patients. BACKGROUND: Blood pressure control is a challenge for global health systems. Medication literacy is essential for medication self-management in hypertensive patients and a basis for managers to develop comprehensive intervention strategies for hypertension medication use. DESIGN: A cross-sectional observational study was conducted. METHODS: A total of 378 hypertensive patients was selected by convenience sampling from two tertiary hospitals and four community health service centres from December 2021 to January 2022 in Changsha, China. Associations between medication literacy and blood pressure control were identified with chi-square, independent samples t-tests and logistic regression analyses. RESULTS: The average medication literacy score of the hypertensive patients investigated was low. Over a third of patients had uncontrolled blood pressure. Logistic regression analysis showed that medication literacy was an influencing factor for blood pressure control rate in hypertensive patients. CONCLUSIONS: Medication literacy and blood pressure control among hypertensive patients was poor. Medication literacy was a facilitator of blood pressure control so improving medication literacy may be of value to improve blood pressure control in hypertensive patients.

Genomic loci associated with leaf abscission contribute to machine picking and environmental adaptability in upland cotton (Gossypium hirsutum L.).

INTRODUCTION: Defoliation by applying defoliants before machine picking is an important agricultural practice that enhances harvesting efficiency and leads to increased raw cotton purity. However, the fundamental characteristics of leaf abscission and the underlying genetic basis in cotton are not clearly understood. OBJECTIVES: In this study, we aimed to (1) reveal the phenotypic variations in cotton leaf abscission, (2) discover the whole-genome differentiation sweeps and genetic loci related to defoliation, (3) identify and verify the functions of key candidate genes associated with defoliation, and (4) explore the relationship between haplotype frequency of loci and environmental adaptability. METHODS: Four defoliation-related traits of 383 re-sequenced Gossypium hirsutum accessions were investigated in four environments. The genome-wide association study (GWAS), linkage disequilibrium (LD) interval genotyping and functional identification were conducted. Finally, the haplotype variation related to environmental adaptability and defoliation traits was revealed. RESULTS: Our findings revealed the fundamental phenotypic variations of defoliation traits in cotton. We showed that defoliant significantly increased the defoliation rate without incurring yield and fiber quality penalties. The strong correlations between defoliation traits and growth period traits were observed. A genome-wide association study of defoliation traits identified 174 significant SNPs. Two loci (RDR7 on A02 and RDR13 on A13) that significantly associated with the relative defoliation rate were described, and key candidate genes GhLRR and GhCYCD3;1, encoding a leucine-rich repeat (LRR) family protein and D3-type cell cyclin 1 protein respectively, were functional verified by expression pattern analysis and gene silencing. We found that combining of two favorable haplotypes (HapRDR7 and HapRDR13) improved sensitivity to defoliant. The favorable haplotype frequency generally increased in high latitudes in China, enabling adaptation to the local environment. CONCLUSION: Our findings lay an important foundation for the potentially broad application of leveraging key genetic loci in breeding machine-pickable cotton.

Associations between healthy lifestyle behavioral patterns and mental health problems: A latent class analysis of 161,744 Chinese young adults.

BACKGROUND: Youth mental health problems are a public health priority. Multiple healthy lifestyle behaviors may cluster into healthy lifestyle behavioral patterns (HLBPs) that increase mental health risks in adolescents and older adults, but little is known regarding young adults. This study aimed to explore the associations between cluster HLBPs and mental health problems in young adults. METHODS: We selected 161,744 young adults aged 20-39 as participants from the database of a Chinese general hospital health management center for the years 2015-2020. The latent class analysis was used to identify HLBPs. RESULTS: A total of 15.0 % of young adults have at least one mental health problem. Five clusters of HLBPs were identified, characterized as low-risk class (1.6 %), moderate-risk class 1 (12.0 %), moderate-risk class 2 (2.1 %), moderate-risk class 3 (56.8 %), and high-risk class (27.4 %). The odds ratios (ORs) for young adults with two mental health problems increased with the risk grade of HLBPs, while the ORs for young adults with one or three mental health problems ranged from high to low according to the risk grade of HLBPs: high-risk class, moderate-risk class 2, moderate-risk class 3, moderate-risk class 1. LIMITATIONS: Cross-sectional design and no causal conclusions could be drawn. CONCLUSION: Young adults demonstrated a cluster phenomenon of healthy lifestyle behaviors and significant associations between HLBPs and mental health problems. Young adults with a higher risk grade for HLBPs were more likely to have mental health problems. Different HLBPs should be taken into account when implementing mental health interventions.

Assessment of nonylphenol exposure based on global urinary concentration data and its risk analysis.

Nonylphenol (NP) has been recognized as a priority hazardous substance because of its estrogenic activity and ubiquity in the environment. Therefore, it is important to understand the daily intake of NP in humans and evaluate the potential health risks of NP. The median or average estimated daily intake (EDI) of NP was estimated based on urinary NP or alkyl-chain-oxidized NP metabolites concentration data from published epidemiological studies. In brief, we acquired 34 peer-reviewed publications, which contained 14235 samples from twelve countries or regions. The global average estimated daily intake of NP was 1.003 µg/(kg bw·day), which was lower than the tolerable daily intake recommended by the Danish Veterinary and Food Authority [5 µg/(kg bw·day)]. Korea had the highest exposure level [3.471 µg/(kg bw·day)] among different countries or regions. Compared with the adult [0.743 µg/(kg bw·day)] and pregnant women [0.806 µg/(kg bw·day)] groups, the children group had the highest estimated daily intake of NP at 2.368 µg/(kg bw·day). Besides, the global NP risk hazard quotient was 0.201, and the risk hazard quotients of all countries or regions were less than 1. However, the global HQ value of the 95th quantile population was 2.299, which was much higher than 1, the potential health risk cannot be ignored and needs to be confirmed by more research. To our knowledge, this is the first study to assess the overall NP exposure levels based on published biomonitoring data, and has important implications for assessing the potential effects of NP exposure on human health. In addition, OH-NP is a robust and sensitive novel biomarker for NP, there are fewer studies on the application of this biomarker, and more studies are needed in the future for quantitative exposure and risk assessment of NP.

Associations of serum cortisol and inflammatory marker features with depression and anxiety in young women with gynecologic cancer.

PURPOSE: Serum cortisol and inflammatory markers may play a role in depression and anxiety, but little is known about whether various features of serum cortisol and inflammatory markers have different associations with depression and anxiety. This study examines the associations of serum cortisol and inflammatory marker features with depression and anxiety in young women with gynecologic cancer. METHODS: Sixty-four young women with gynecologic cancer, aged 15-39 years, were recruited in a tertiary general hospital and a tertiary hospital specializing in oncology in China from May to December 2021. The Hospital Anxiety and Depression Scale was used to evaluate depression and anxiety. Blood samples were taken at 8 am, 4 pm, and 10 pm on the same day to examine the various features (average, variability, and diurnal patterns) of serum cortisol and inflammatory markers, namely C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor alpha (TNF-α). RESULTS: Young women with gynecologic cancer who reported depression/anxiety had significantly higher average levels of serum cortisol, IL-6 and TNF-α than those who did not. The dysregulations in the diurnal patterns of serum cortisol and IL-6 were associated with depression and anxiety. Serum cortisol levels were significantly higher in the depression/anxiety group at 10 pm. Depression and anxiety were associated with elevated levels of IL-6 and TNF-α at each time point. CONCLUSION: This study revealed various associations of serum cortisol and inflammatory marker features with depression and anxiety in young women with gynecologic cancer. Further research is needed to understand the role of serum cortisol and inflammatory marker features in the progression of depression and anxiety.

The role of bidirectional associations between depression, anxiety, and emotional exhaustion on turnover intention among nurses: a multicenter cross-sectional study in China.

BACKGROUND: A high turnover rate in nursing has become a global concern. Mental health issues may increase the turnover intention of nurses and lead to turnover behaviors. However, very little is known about the role of bidirectional associations between emotional exhaustion and depression/anxiety on turnover intention. This study aimed to examine the associations among depression, anxiety, emotional exhaustion and turnover intention, and to test the role of bidirectional associations between depression, anxiety, and emotional exhaustion on turnover intention among nurses. METHODS: An online multicenter cross-sectional study was conducted in Hunan Province, China, from December 2021 to February 2022. The questionnaire collected data from the Turnover Intention Scale, the Emotional Exhaustion Scale, the Patient Health Questionnaire-2, and the Generalized Anxiety Disorder Scale-2, as well as sociodemographic information. Data analysis was performed by univariate analysis, Pearson correlation analysis, multiple linear regression analysis, and structural equation modeling. RESULTS: The average turnover intention score among Chinese nurses was 14.34 ± 3.75. The prevalence of depression and anxiety was 25.9% and 22.3%, respectively. Depression (r = 0.378, P < 0.001), anxiety (r = 0.391, P < 0.001), and emotional exhaustion (r = 0.532, P < 0.001) were positively associated with turnover intention. Emotional exhaustion partially mediated the associations between depression/anxiety and turnover intention, with both mediating effects accounting for 60.7%. The mediating ratios of depression/anxiety on the associations between emotional exhaustion and turnover intentions were 17.6% and 16.5%, respectively. CONCLUSIONS: Depression, anxiety, and emotional exhaustion showed significant positive effects on turnover intention among nurses. Emotional exhaustion played a partial mediation role between depression/anxiety and turnover intention, while depression/anxiety played no significant mediation role between emotional exhaustion and turnover intention.

Deciphering Electrolyte Dominated Na+ Storage Mechanisms in Hard Carbon Anodes for Sodium-Ion Batteries.

Although hard carbon (HC) demonstrates superior initial Coulombic efficiency, cycling durability, and rate capability in ether-based electrolytes compared to ester-based electrolytes for sodium-ion batteries (SIBs), the underlying mechanisms responsible for these disparities remain largely unexplored. Herein, ex situ electron paramagnetic resonance (EPR) spectra and in situ Raman spectroscopy are combined to investigate the Na storage mechanism of HC under different electrolytes. Through deconvolving the EPR signals of Na in HC, quasi-metallic-Na is successfully differentiated from adsorbed-Na. By monitoring the evolution of different Na species during the charging/discharging process, it is found that the initial adsorbed-Na in HC with ether-based electrolytes can be effectively transformed into intercalated-Na in the plateau region. However, this transformation is obstructed in ester-based electrolytes, leading to the predominant storage of Na in HC as adsorbed-Na and pore-filled-Na. Furthermore, the intercalated-Na in HC within the ether-based electrolytes contributes to the formation of a uniform, dense, and stable solid-electrolyte interphase (SEI) film and eventually enhances the electrochemical performance of HC. This work successfully deciphers the electrolyte-dominated Na+ storage mechanisms in HC and provides fundamental insights into the industrialization of HC in SIBs.

Effects of rational emotive behavior therapy on alexithymia, anxiety, depression and sleep quality of older people in nursing homes: a quasi-experimental study.

BACKGROUND: Alexithymia, a subclinical cognitive-affective impairment, is prevalent in older people and increases the risk of mental disorders. There is a vast alexithymia treatment gap, with majority of older people in nursing homes lacking access to adequate mental health care. The study aimed to evaluate the effects of rational emotive behavior therapy (REBT) on alexithymia, anxiety, depression and sleep quality of older people in nursing homes. METHODS: This quasi-experimental study was conducted with two groups (the control group and intervention) from March to November 2021. This study enrolled 86 participants, two of whom were lost to follow-up; 42 received usual care (control group) and 42 received REBT based on usual care (intervention group) in nursing homes. The older people in both groups were evaluated at baseline (T0), within one-week post-intervention (T1), and at 3-month follow-up (T3). Generalized estimating equations were used by SPSS version 26 to assess the differential change in the outcomes between the two groups. RESULTS: The intervention group shows significantly greater improvement in alexithymia than the control group at both T1 (ß = -8.167, 95%CI= -10.965, -5.368, P < 0.001) and T2 (ß=-4.119, 95%CI= -7.171, -1.067, P = 0.008). The two groups showed significant differences at both T1 and T2 in both difficulty identifying feelings and difficulty describing feelings. Compared to the control group, the intervention group shows a significant improvement in sleep quality at T2 (ß = -2.048, 95%CI=-4.004, -0.091, P = 0.040). The two groups showed significant differences at both T1 and T2 in both sleep disturbance and daytime dysfunction. For depression and anxiety, no significant differences were found between the intervention and control groups. CONCLUSIONS: REBT showed to be an effective method for improving alexithymia and sleep quality of older people in nursing homes. However, it failed to significantly alleviate anxiety and depression at least in a short-term trial. Refining this intervention may have a broader, more substantial impact on future research.

Coactivator-associated arginine methyltransferase 1: A versatile player in cell differentiation and development.

Protein arginine methylation is a common post-translational modification involved in the regulation of various cellular functions. Coactivator-associated arginine methyltransferase 1 (CARM1) is a protein arginine methyltransferase that asymmetrically dimethylates histone H3 and non-histone proteins to regulate gene transcription. CARM1 has been found to play important roles in cell differentiation and development, cell cycle progression, autophagy, metabolism, pre-mRNA splicing and transportation, and DNA replication. In this review, we describe the molecular characteristics of CARM1 and summarize its roles in the regulation of cell differentiation and development in mammals.

Transcriptomic analysis of ovarian follicles uncovers the crucial genes relevant to follicle selection and preovulatory hierarchy in hens.

Follicle selection and preovulatory hierarchy of hen ovaries were important stages of follicle development and crucially determining egg-laying performance. The selected follicles with a higher expression level of follicle-stimulating hormone receptor (FSHR) mRNA that facilitates response to FSH, and rapidly develops into preovulatory follicles with distinctive characteristics of granulosa cells (GCs) proliferation and differentiation. Identification of the key genes involved in these developmental events is helpful for elucidation of the molecular mechanism underlying egg-laying traits in chicken and other domestic fowl. Herein, the comparative transcriptomic analysis of ovarian prehierarchical follicles before selection (BSF), follicles at selection stage (ASF), and hierarchical follicles (HF) were implemented in the Jilin Black chicken (JB) and Lohmann Brown layer (LB) with the divergences in their egg-laying performance by RNA-sequencing. The results showed that nine deferentially expressed genes (DEGs), including STMN4, FABP3, ROBO2, RSPO4, and DMRT1 were revealed between follicles BSF and ASF; and seventeen DEGs, such as SLC6A15, SLITRK3, PRKG2 and TMC3 were mined between ASF and HF. These two group DEGs being co-expressed between BSF and ASF, and between ASF and HF were compared and substantiated in the JB and LB layers, respectively. Furthermore, 10 signaling pathways, such as cAMP signaling, PPAR signaling pathway, AMPK(Adenosine 5'-monophosphate (AMP)-activated protein kinase) pathway, and estrogen signaling pathway were also identified. Moreover, the roles of two representative candidates ROBO2 and PRKG2 genes presented as downregulated mRNA expression pattern in the transcriptomic profiles were further verified in vitro. The results demonstrated that downregulation of ROBO2 or PRKG2 significantly increased the expression levels of FSHR mRNA and protein with the boosted expression of CCND1, STAR, and BCL-2, whereas remarkably inhibited the expression of Caspase-3, consequently, brought about the decrease of GC apoptosis in the ovarian follicles, but increase of GC proliferation and differentiation serving as the hallmarks for follicle selection. It indicated that ROBO2 and PRKG2 may play indispensable roles in follicle selection and preovulatory hierarchy of hen ovaries separately. Our findings provided a comparative transcriptomic evidence for clarifying the molecular mechanism of the follicle development underlying egg-laying traits in chicken.

Chicken ovarian follicle development undergoes follicle recruitment, prehierarchy, follicle selection, preovulatory/hierarchy, and finally ovulation. The follicle selection and preovulatory hierarchy play a vital role in egg production of hens. However, underlying the mechanism of the key genes involved in these developmental events remains largely unknown. Herein, to explore the promising genes potentially involved in follicle selection and hierarchical development of hen ovary, a comparative transcriptome analysis of the ovarian follicles before and after selection was performed by using Jilin Black (JB) chicken, an indigenous Chinese breed with a low egg-laying rate and strong broodiness, and which was substantiated by using Lohmann Brown (LB) layer, a commercial egg-laying breed, being characterized by a high rate of egg production. As a result, a total of nine critical differentially expressed genes (DEGs) that co-expressed in the ovarian follicles before selection compared with follicles at selection stage (ASF), and 17 DEGs in the ASF follicles compared with hierarchical follicles that developed shortly after the time of follicle selection were identified in the JB hens as well as in the LB layers, respectively. Moreover, the exact roles of two representative candidates ROBO2 and PRKG2 of the DEGs were further verified in regulation of the follicular granulosa cell proliferation and differentiation which are the major characteristics of follicle selection. And 10 signaling pathways that implicated in follicle selection and hierarchy were also enriched. The objectives aim to provide molecular evidence for underlying the regulatory mechanism of follicle development and egg production in chicken.

The role of sleep quality and perceived stress on depressive symptoms among tertiary hospital nurses: a cross-sectional study.

BACKGROUND: Nurses in tertiary hospitals are at high risk for depression. Understanding sleep quality and perceived stress may contribute to nurses' mental health and health-related nursing productivity. The aim of this study was to investigate the role of sleep quality and perceived stress on depressive symptoms among nurses in tertiary hospitals. METHODS: A total of 2,780 nurses (overall response rate = 91.1%) were recruited through a cross-sectional survey in 23 tertiary hospitals in China. Questionnaires included the Self-Rating Depression Scale, the Pittsburgh Sleep Quality Index, and the Chinese Perceived Stress Scale. Variables that were significant in Chi-square tests were further entered into binary logistic stepwise regression. RESULTS: The prevalence of depressive symptoms was 60.3% (n = 1,676), of which 97.4% (n = 1,633) were female, and 77.8% were younger than 35 years (n = 1,304). Nurses who had moderate, poor, severe sleep quality and poor perceived pressure were more likely to be depressed. Master's degree, 6-10 years of work, and physical activity were protective factors, while the opposite was the case for shift work and high dissatisfaction. CONCLUSIONS: More than half of nurses working in tertiary care hospitals reported depressive symptoms, and lower sleep quality and higher perceived stress were more associated with this. Perceived stress is an interesting concept, which may provide a new entry point for the well-known idea that there is a relationship between poor sleep quality and depression. It is possible to reduce depressive symptoms among public hospital nurses by providing information on sleep health and stress relief.

Sperm morphological abnormalities in autosomal dominant polycystic kidney disease are associated with the Hippo signaling pathway via PC1.

Background: Autosomal dominant polycystic kidney disease (ADPKD) is a hereditary kidney disorder mostly caused by mutations in PKD1 or PKD2 genes. Here, we report thirteen ADPKD males with infertility and investigated the sperm morphological defects associated with PC1 disruption. Methods: Targeted next-generation sequencing was performed to detect PKD1 variants in patients. Sperm morphology was observed by immunostaining and transmission electron microscopy, and the sperm motility was assessed using the computer-assisted sperm analysis system. The Hippo signaling pathway was analyzed with by quantitative reverse transcription polymerase chain reaction (qPCR) and western blotting in vitro. Results: The ADPKD patients were infertile and their sperm tails showed morphological abnormalities, including coiled flagella, absent central microtubules, and irregular peripheral doublets. In addition, the length of sperm flagella was shorter in patients than in controls of in in. In vitro, ciliogenesis was impaired in Pkd1-depleted mouse kidney tubule cells. The absence of PC1 resulted in a reduction of MST1 and LATS1, leading to nuclear accumulation of YAP/TAZ and consequently increased transcription of Aurka. which might promote HDAC6-mediated ciliary disassembly. Conclusion: Our results suggest the dysregulated Hippo signaling significantly contributes to ciliary abnormalities in and may be associated with flagellar defects in spermatozoa from ADPKD patients.

Development and psychometric assessment of self-reported patient medication safety scale (SR-PMSS).

Objectives: Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, few tools have been developed to assess patient medication safety. This study aimed to develop and validate the self-reported patient medication safety scale (SR-PMSS). Methods: We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability. Results: A total of 501 patients with an average age of 56.81 ± 14.47 were enrolled in this study. The SR-PMSS consisted of 21 items and 5 factors. The content validity was good with item-level content validity index (CVI) > 0.78, average scale-level CVI (S-CVI) > 0.9, and universal agreement S-CVI > 0.8. Exploratory factor analysis extracted a five-factor solution with eigenvalues > 0.1, explaining 67.766% of the variance. Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach's α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test-retest reliability coefficient was 0.978. Conclusions: The SR-PMSS was a valid and reliable instrument with good reliability and validity to evaluate the level of patient medication safety. The target users of the SR-PMSS are all people who are taking or have used prescription medications. The SR-PMSS can be used by healthcare providers in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management. Plain Language Summary: SR-PMSS - a self-reported tool to assess patient medication safetyMedication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management.

Development of Phase and Seasonally Dependent Land-Use Regression Models to Predict Atmospheric PAH Levels.

Polycyclic aromatic hydrocarbons (PAHs) are an important class of pollutants in China. The land use regression (LUR) model has been used to predict the selected PAH concentrations and screen the key influencing factors. However, most previous studies have focused on particle-associated PAHs, and research on gaseous PAHs was limited. This study measured representative PAHs in both gaseous phases and particle-associated during the windy, non-heating and heating seasons from 25 sampling sites in different areas of Taiyuan City. We established separate prediction models of 15 PAHs. Acenaphthene (Ace), Fluorene (Flo), and benzo [g,h,i] perylene (BghiP) were selected to analyze the relationship between PAH concentration and influencing factors. The stability and accuracy of the LUR models were quantitatively evaluated using leave-one-out cross-validation. We found that Ace and Flo models show good performance in the gaseous phase (Ace: adj. R2 = 0.14-0.82; Flo: adj. R2 = 0.21-0.85), and the model performance of BghiP is better in the particle phase (adj. R2 = 0.20-0.42). Additionally, better model performance was observed in the heating season (adj R2 = 0.68-0.83) than in the non-heating (adj R2 = 0.23-0.76) and windy seasons (adj R2 = 0.37-0.59). Those gaseous PAHs were highly affected by traffic emissions, elevation, and latitude, whereas BghiP was affected by point sources. This study reveals the strong seasonal and phase dependence of PAH concentrations. Building separate LUR models in different phases and seasons improves the prediction accuracy of PAHs.

Two-Step Redox in Polyimide: Witness by In Situ Electron Paramagnetic Resonance in Lithium-ion Batteries.

Organic materials are promising candidates for future rechargeable batteries, owing to their high natural abundance and rapidly redox reaction. Elaborating the charge/discharge process of organic electrode is critical to unveil the fundamental redox mechanism of lithium-ion batteries (LIBs), but monitoring of this process is still challenging. Here, we report a nondestructive electron paramagnetic resonance (EPR) technique to real-time detect the electron migration step within polyimide cathode. From in situ EPR tests, we vividly observe a classical redox reaction along with two-electron transfer which only shows one pair of peaks in the cyclic voltammetry curve. The radical anion and dianion intermediates are detailed delineation at redox sites in EPR spectra, which can be further confirmed through density functional theory calculations. This approach is especially crucial to elaborate the correlation behind electrochemical and molecular structure for multistep organic-based LIBs.