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IntroductionEnsuring effective measures against the spread of the virus is paramount for educational institutions and workplaces as they resume operations amidst the ongoing public health crisis. A touchless and privacy-conscious check-in procedure for visitor assessment is critical to safeguarding venues against potential virus transmission.MethodsIn our study, we developed an interaction-free entry system featuring anonymous visitors who voluntarily provide data. This system introduces an adaptable venue entry management mechanism that accounts for both visitors' potential risk and the venue's capacity, aiming to curb the risk of localized infections. We assess visitors' liability based on their voluntarily provided data through radar map analysis. Additionally, we evaluate the venue's situation by quantifying its risk from multiple dimensions. A queuing model is then employed to control visitor access adaptively based on visitors' liability and the venue's availability.ResultsSince May, our university campus has been the operational site for the implemented system, catering to the needs of visitors across distinct venues. Using real-world implementation, we conduct a series of simulation experiments and case studies to verify the effectiveness of the HealthPass system in lowering infection risks.DiscussionThe system has demonstrated its capacity to reduce infection risks by adapting visitor entry procedures based on individual risk factors and venue conditions. Our results suggest that the integration of a dynamic queuing model and real-time data analysis can effectively manage the flow of visitors while ensuring public health safety.

Summary: The population history of the northern coastal Chinese is largely unknown due to the lack of ancient human genomes from the Neolithic to historical periods. In this study, we reported 14 newly generated ancient genomes from Linzi, one of China’s densely populated and economically prosperous cities from the Zhou to Han Dynasties. The ancient samples in this study were dated to the Warring States period to the Eastern Han Dynasty (∼2,000 BP). We found the samples derived all their ancestry from Late Bronze Age to Iron Age Middle Yellow River farmers rather than local Neolithic populations. They were genetically homogeneous with present-day Han Chinese of Shandong, suggesting 2,000 years of genetic stability. Our results highlight the role of the eastward migration of Yellow River farmers in the Central Plain to northern coastal China in forming the present-day genetic structure of Han Chinese.

Background Regular rehabilitation during or after cancer treatment can bring numerous benefits to colorectal cancer survivors. However, there is a lack of convenient and mobile rehabilitation support systems tailored specifically for this group. The metaverse, as a virtual reality environment, offers an innovative platform for implementing rehabilitation. Hence, our study aims to develop a metaverse-based multimodal rehabilitation program and assess its effects on enhancing outcome measures such as quality of life in colorectal cancer patients. Methods and analysis This study was designed as a randomized, single-blind controlled trial design featuring two arms: a rehabilitation group and a conventional care group. Sixty colorectal cancer survivors who have undergone curative surgery followed by adjuvant chemotherapy will be recruited for this study. The intervention will take place within the metaverse over a 4-week period. Assessments will be conducted at baseline and after 4 weeks. The intervention is grounded in the behavior change wheel framework and encompasses dietary intervention, exercise intervention, psychological support, and behavior management. Through the implementation of diverse strategies such as training, education, and motivation, our objective is to enhance patients’ capacity, opportunities, and motivation, ultimately fostering healthy behaviors. Outcome measures will encompass quality of life, fear of recurrence, and lifestyle. Results The analysis includes statistical description and inference. Quantitative data will be summarized using mean ± standard deviation for normally distributed data and medians with percentiles for non-normally distributed data. Categorical data will be presented as frequencies and percentages. Statistical tests will detect significant differences between pre- and post-intervention periods. Subgroup analysis will explore CRC stage, age, and gender in relation to outcome measures to identify factors affecting intervention efficacy. Conclusions The findings from this research will offer valuable insights and practical implications for the implementation of remote interventions and family-based interventions in the context of colorectal cancer survivorship. Trial Registration NCT05956990 (Registered 21 July 2023)

Abstract Purpose This study aimed to investigate the current situation and factors influencing physical activity, self-efficacy, and quality of life in Chinese colorectal cancer survivors. Additionally, this study explored the associations between physical activity, self-efficacy, and quality of life. Methods A multicenter, cross-sectional study was conducted, involving 173 colorectal cancer survivors with a mean age of 59 years. Self-reported data on basic demographic characteristics, physical activity, self-efficacy, and quality of life were collected. Results Among 173 colorectal cancer survivors, 90 (52.0%) were engaged in manual work. The self-efficacy score was found to be 25.99 ± 7.10, while the global health status score was 54.96 ± 21.56. Global health status was associated with sex, residence, chemoradiotherapy, and monthly income (p

Background: The surgical intervention serves as the paramount and prevalent remedy for individuals afflicted with colorectal malignancies, with the significance of perioperative stewardship and convalescence being indisputable. Prehabilitation coupled with preoperative lifestyle modulation has demonstrated efficacy in patients subjected to certain classifications of abdominal procedures. However, the evidence pertaining to its impact on those battling colorectal cancer remains equivocal. Methods: A meta-analysis, grounded in pairwise contrast, of randomized controlled trials (RCTs) was orchestrated, coupled with a systematic review, to probe the efficacy of preoperative lifestyle modulation and prehabilitation on patients’ postoperative functionality and recuperation. An exhaustive exploration of 8 electronic databases and trial registries was undertaken to encompass all pertinent RCTs disseminated in English or Chinese from January 2012 through December 2022. Employing a random-effects model, we evaluated parameters such as the 6-minute walk test (6 MWT), complications, quality of life (QoL), aggregate and postoperative duration of hospitalization (tLHS and postLHS), and healthcare expenditure (HExp) for postoperative patients. Results: A total of 28 RCTs were incorporated into the systematic review and meta-analysis. Relative to conventional preoperative care, rehabilitation or preoperative lifestyle management was found to enhance postoperative 6MWT ( SMD 1.30, 95% CI 0.30 to 2.29 ) and diminish the complication rate ( OR 0.53, 95% CI 0.40 to 0.69 ). Nonetheless, no significant discrepancies were observed in QoL ( SMD 1.81, 95% CI −0.26 to 3.87 ), tLHS ( SMD −0.26, 95% CI −0.68 to 0.15 ), and postLHS ( SMD −1.46, 95% CI −3.12 to 0.20 ) between the groups. HExp could not be evaluated due to a lack of sufficient data for synthesis. Most pooled outcomes exhibited significant heterogeneity, urging a cautious interpretation. Subgroup analysis revealed that nutritional interventions could mitigate the incidence of complications, and preoperative exercise could improve tLHS and postLHS. A combined approach of physical, nutritional, and psychological intervention or prehabilitation proved superior to any single intervention in enhancing postoperative capabilities. Conclusion: This meta-analysis delineated the efficacy of preoperative interventions on postoperative capabilities in patients with colorectal cancer, thereby offering evidence for clinical practice. It was concluded that preoperative interventions are unequivocally beneficial for postoperative functional recovery and the reduction of complication rates in patients with colorectal cancer. Nonetheless, the acquisition of more high-level evidence is still necessitated to further ascertain the effectiveness of this strategy for other patient groups and to establish its best practices. The heterogeneity in the pooled outcomes underlines the need for future studies to be more uniform in their design and reporting, which would facilitate more robust and reliable meta-analyses.

Objective:Vagus nerve stimulation (VNS) has recently been used in neurorehabilitation and the recovery of consciousness based on its effects on cortical plasticity. The aim of this study was to examine the therapeutic effects of VNS on patients with a minimally conscious state (MCS).Methods:All patients included in the study were assessed more than 5 months after injury and were receiving regular rehabilitation at our hospital from August 2018 to October 2019. Ten patients diagnosed with MCS by Coma Recovery Scale-Revised (CRS-R) test who underwent VNS surgery were enrolled. The scores on CRS-R evaluation at baseline (before VNS implantation) and 1, 3, and 6 months after VNS treatment were recorded. The stimulation parameters were chosen according to a previous study. All clinical rehabilitation protocols remained unchanged during the study. Furthermore, safety was assessed by analyzing treatment-emergent adverse events (TEAEs).Results:No significant improvement in the total CRS-R scores at the end of the 1-month follow-up was observed (p > 0.05). After 3 months of stimulation, a significant difference (p = 0.0078) was observed in the total CRS-R scores compared with the baseline. After 6 months of VNS treatment, CRS-R assessments showed a continuous significant improvement (p = 0.0039); one patient emerged from the MCS and recovered functional communication and object use. Interestingly, one item of CRS-R scores on visual domain was sensitive to VNS treatment (p = 0.0039). Furthermore, no serious adverse event occurred throughout the study.Conclusion:This exploratory study provides preliminary evidence suggesting that VNS is a safe and effective tool for consciousness recovery in patients with MCS.

Guizhou Province harbors extensive ethnolinguistic and cultural diversity with Sino-Tibetan-, Hmong–Mien-, and Tai–Kadai-speaking populations. However, previous genetic analyses mainly focused on the genetic admixture history of the former two linguistic groups. The admixture history of Tai–Kadai-speaking populations in Guizhou needed to be characterized further. Thus, we genotyped genome-wide SNP data from 41 Tai–Kadai-speaking Maonan people and made a comprehensive population genetic analysis to explore their genetic origin and admixture history based on the pattern of the sharing alleles and haplotypes. We found a genetic affinity among geographically different Tai–Kadai-speaking populations, especially for Guizhou Maonan people and reference Maonan from Guangxi. Furthermore, formal tests based on the f3/f4-statistics further identified an adjacent connection between Maonan and geographically adjacent Hmong–Mien and Sino-Tibetan people, which was consistent with their historically documented shared material culture (Zhang et al., iScience, 2020, 23, 101032). Fitted qpAdm-based two-way admixture models with ancestral sources from northern and southern East Asians demonstrated that Maonan people were an admixed population with primary ancestry related to Guangxi historical people and a minor proportion of ancestry from Northeast Asians, consistent with their linguistically supported southern China origin. Here, we presented the landscape of genetic structure and diversity of Maonan people and a simple demographic model for their evolutionary process. Further whole-genome-sequence–based projects can be presented with more detailed information about the population history and adaptative history of the Guizhou Maonan people.

Background and Objectives: The COVID-19 pandemic has caused global public panic, leading to severe mental illnesses, such as post-traumatic stress disorder (PTSD). This study aimed to establish a risk prediction model of PTSD based on a machine learning algorithm to provide a basis for the extensive assessment and prediction of the PTSD risk status in adults during a pandemic. Materials and Methods: Model indexes were screened based on the cognitive–phenomenological–transactional (CPT) theoretical model. During the study period (1 March to 15 March 2020), 2067 Chinese residents were recruited using Research Electronic Data Capture (REDCap). Socio-demographic characteristics, PTSD, depression, anxiety, social support, general self-efficacy, coping style, and other indicators were collected in order to establish a neural network model to predict and evaluate the risk of PTSD. Results: The research findings showed that 368 of the 2067 participants (17.8%) developed PTSD. The model correctly predicted 90.0% (262) of the outcomes. Receiver operating characteristic (ROC) curves and their associated area under the ROC curve (AUC) values suggested that the prediction model possessed an accurate discrimination ability. In addition, depression, anxiety, age, coping style, whether the participants had seen a doctor during the COVID-19 quarantine period, and self-efficacy were important indexes. Conclusions: The high prediction accuracy of the model, constructed based on a machine learning algorithm, indicates its applicability in screening the public mental health status during the COVID-19 pandemic quickly and effectively. This model could also predict and identify high-risk groups early to prevent the worsening of PTSD symptoms.

Background: During the Coronavirus Disease 2019 (COVID-19) pandemic, frontline nurses face enormous mental health challenges. Epidemiological data on the mental health statuses of frontline nurses are still limited. The aim of this study was to examine mental health (burnout, anxiety, depression, and fear) and their associated factors among frontline nurses who were caring for COVID-19 patients in Wuhan, China. Methods: A large-scale cross-sectional, descriptive, correlational study design was used. A total of 2,014 eligible frontline nurses from two hospitals in Wuhan, China, participated in the study. Besides sociodemographic and background data, a set of valid and reliable instruments were used to measure outcomes of burnout, anxiety, depression, fear, skin lesion, self-efficacy, resilience, and social support via the online survey in February 2020. Findings: On average, the participants had a moderate level of burnout and a high level of fear. About half of the nurses reported moderate and high work burnout, as shown in emotional exhaustion (n = 1,218, 60.5%), depersonalization (n = 853, 42.3%), and personal accomplishment (n = 1,219, 60.6%). The findings showed that 288 (14.3%), 217 (10.7%), and 1,837 (91.2%) nurses reported moderate and high levels of anxiety, depression, and fear, respectively. The majority of the nurses (n = 1,910, 94.8%) had one or more skin lesions, and 1,950 (96.8%) nurses expressed their frontline work willingness. Mental health outcomes were statistically positively correlated with skin lesion and negatively correlated with self-efficacy, resilience, social support, and frontline work willingness. Interpretation: The frontline nurses experienced a variety of mental health challenges, especially burnout and fear, which warrant attention and support from policymakers. Future interventions at the national and organisational levels are needed to improve mental health during this pandemic by preventing and managing skin lesions, building self-efficacy and resilience, providing sufficient social support, and ensuring frontline work willingness.