Background The average sleep quality of mariners during ocean voyages is notably worse than that of the general populace, and the incidence of sleep disorders among them is higher. Sleep disorders closely associate with fatigue and cognitive decline, increasing error and accident rates, and are a major safety hazard in marine navigation. At present, research on factors influencing the sleep quality of mariners during ocean voyages in China is limited and needs further investigation. Objective To investigate the sleep quality of mariners during ocean voyages and analyze its influencing factors, in order to provide reference for constructing sleep intervention plans and mitigating their sleep disorders. Methods Using convenience cluster sampling, a questionnaire survey was carried out in 408 crew members of a fleet who returned from a voyage on March 21, 2024. The questionnaires included a general information questionnaire, Pittsburgh Sleep Quality Index (PSQI) , and Self Rating Anxiety Scale (SAS), and the data were analyzed by SPSS 26.0 software. Results A total of 399 valid questionnaires were collected, with an effective recovery rate of 97.8%. The mean score of PSQI for the mariners during ocean voyages was (6.41±2.44), with 33.6% (134/399) of the mariners reporting sleep disorders. The PSQI scores varied by family structures (t=2.235, P=0.031), labor types (F=3.789, P=0.023), noise exposure (F=53.218, P＜0.001), dietary patterns (F=63.311, P＜0.001), exercise habits (F=16.416, P＜0.001), and anxiety states (t=5.963,P＜0.001). The results of linear regression showed that incomplete family structure (β=0.102, P=0.010), noise exposure (β=0.323, P<0.001), and anxiety (β=0.117, P=0.006) positively associated with the total score of PSQI, while dietary patterns (β=-0.331, P<0.001) and exercise habits (β=-0.147, P<0.001) negatively associated with the total PSQI score, and the 5 variables jointly explained 38.9% of the total variation in the PSQI score (F=37.159, P<0.01). Conclusion The sleep quality of mariners during ocean voyages is relatively low and the incidence of sleep disorders is relatively high, which is jointly influenced by factors such as family structure, noise exposure, dietary habits, exercise habits, and anxiety.

Objective:To identify risk variables for prolonged postoperative length of stay (PPOLOS) in hip fracture patients by machine learning algorithms and construct Nomogram models.Methods:A retrospective case-control study was conducted to select 248 patients with hip fracture diagnosed and treated in Yingtan 184th Hospital from June 2019 to June 2023 by convenient sampling method. Two machine learning algorithms were used (least absolute shrinkage and selection operator, LASSO and support vector machine-Recursive Feature Elimination, SVM-RFE) to screen PPOLOS risk variables. Construct a Nomogram model to predict the risk of PPOLOS in patients with hip fracture based on intersection risk variables. The model was validated using internal data sets.Results:Among the 248 patients with hip fracture, there were 79 males and 169 females, aged (64.49 ± 8.02). The mean postoperative length of hospital stay of 248 patients was (7.98 ± 5.68) d, and the median was 7 d. LASSO algorithm identifies 7 risk variables, the SVM-RFE algorithm identified 8 risk variables. Intersectional risk variables were age, body mass index (BMI), Charlson comorbidity index (CCI), type of surgery, and central granulocytocyte ratio (NLR). Multivariate Logistic regression analysis(intersection risk variables) showed that age [ OR=1.649(1.235-2.202)], BMI [1.603(1.204-2.134)], CCI [ OR=1.670(1.236-2.258)], type of surgery [ OR=1.620(1.209-2.170), 1.699(1.243-2.321)], and NLR [ OR=3.258(2.299-4.617)] were independently associated with the risk of PPOLOS (all P<0.05). The results showed that the conformity index of the Nomogram model was 0.865 (95% CI=0.768-0.945). The area under the curve was 0.852 (95% CI=0.748-0.962). When the risk threshold was >0.08, it could provide significant clinical net benefit. The clinical impact curve showed effective identification of PPOLOS patients in high-risk groups. Conclusions:This Nomogram model can guide medical staff to make clinical diagnosis and treatment decisions as soon as possible to avoid risks, allocate medical resources rationally, and improve nursing quality.

Objective:To construct an ultra-early limb movement program for elderly hip fracture surgery patients based on evidence-based practice and the Delphi method.Methods:From May to December 2023, the PIPOST Model (population, intervention, professional, outcome, setting, type of evidence) was used to develop evidence-based questions. Relevant databases were searched to obtain, summarize, and evaluate evidence related to ultra-early limb movement after hip fracture surgery in elderly patients. A draft of the movement program was created with the search timeline set until June 1, 2023. A total of 29 experts were invited to participate in two rounds of Delphi expert consultation to finalize the ultra-early limb movement program for elderly hip fracture surgery patients.Results:A total of 20 studies were included, consisting of six guidelines, four expert consensuses, three systematic reviews, and seven original research articles. The response rates for the two rounds of Delphi expert consultation were 100.00% (29/29) and 86.21% (25/29). The expert authority coefficients were 0.931 and 0.920, and the Kendall coordination coefficients were 0.205 and 0.112 (all P<0.01). The final ultra-early limb movement program for elderly hip fracture surgery patients included four modules and 39 operational items. Conclusions:This study develops an evidence-based, expert-validated ultra-early limb movement program for elderly hip fracture surgery patients, demonstrating its necessity, scientific basis, and practicality. The program provides a reference and guidance for clinical staff in facilitating ultra-early movement for hip fracture patients post-surgery.

Objective To investigate the cognition of colorectal cancer-related knowledge and influencing factors of patients with middle- and advanced-stage colorectal cancer in ethnic minority areas of Inner Mongolia. Methods According to the national population and the prevalence of colorectal cancer, 277 patients with colorectal cancer were selected by stratified and random sampling in Inner Mongolia. The patients were surveyed in Baotou, Chifeng, Bayannaoer, and other hospitals. The questionnaire included patients' basic information, cognition of colorectal cancer risk factors and screening knowledge, screening information, etc. Results Before suffering from the disease, the patients' knowledge of colorectal cancer (risk factors, early screening knowledge, treatment methods) was low. About 54.9% of patients were unaware of high risk factors for colorectal cancer, 75.8% of patients did not understand the knowledge of early screening of colorectal cancer, and 37.5% of patients did not underst and the treatment of colorectal cancer. The main influencing factors of colorectal cancer cognition were education level and occupation. Patients who work in institutions and enterprises and with higher education level had better cognition. Conclusion Patients with middle- and advanced-stage colorectal cancer in Inner Mongolia have poor knowledge and awareness of risk factors and screening of colorectal cancer before diagnosis. Education level and occupation are factors influencing colorectal cancer cognition, therefore, people with low knowledge rate of colorectal cancer and low education level as well as unemployed laid-off people should be given priority intervention.

Objective:To determine lysophosphatidic acid receptor 6 (LPAR6) expression in patients with mycosis fungoides (MF) , a variant of cutaneous T-cell lymphoma (CTCL) , and to investigate its role and mechanism of action in the development and prognosis of CTCL.Methods:A total of 110 patients with confirmed MF were collected from Department of Dermatology, Peking University First Hospital from 2011 to 2020, including 24 with large-cell transformation (LCT) and 25 with non-large cell transformation (NLCT) in the discovery cohort, and 24 with LCT and 37 with NLCT in the validation cohort. RNA sequencing and RT-PCR were conducted to determine the LPAR6 expression in patients in the discovery cohort and validation cohort respectively. LPAR6 expression was compared between patients with LCT and those with NLCT, and its effect on the prognosis of patients was evaluated. Two LPAR6-overexpressing CTCL cell lines MyLa and Sz4 were constructed to evaluate the effect of LPAR6 overexpression on proliferative activity of MyLa and Sz4 cells, with the cells normally expressing LPAR6 as the control group; after the treatment with LPAR6-related ligand lysophosphatidic acid (LPA) , 2S-OMPT, adenosine triphosphate (ATP) or adenosine (ADO) , the effects of LPAR6 activation on the proliferative activity and apoptosis of LPAR6-overexpressing MyLa and Sz4 cells were evaluated by the MTS method and flow cytometry respectively. Log-rank test was used for prognostic analysis, and t test or Mann-Whitney U test was used for comparisons between two groups. Results:As RNA sequencing showed, LPAR6 was one of the significantly underexpressed genes in the LCT group in the discovery cohort; in the validation cohort, LPAR6 expression (median[ Q1, Q3]) was significantly lower in the LCT group (204.90[81.90, 512.70]) than in the NLCT group (809.40[417.50, 1 829.20], U= 242.00, P= 0.002) ; in the two cohorts, the underexpression of LPAR6 was significantly associated with increased risk of poor prognosis (both P < 0.01) . Cell proliferation assay showed no significant difference in the proliferative activity of MyLa or Sz4 cells between the LPAR6 overexpression group and control group at 0, 24, 48 and 72 hours during the experiment (all P > 0.05) ; 48 hours after activation of LPAR6 by LPA, 2S-OMPT, ATP and ADO in MyLa cells, the LPAR6 overexpression group showed significantly decreased cellular proliferative activity (1.38 ± 0.01, 1.04 ± 0.01, 1.09 ± 0.03, 1.23 ± 0.01, respectively) compared the control group (1.73 ± 0.04, 1.23 ± 0.01, 1.24 ± 0.01, 1.42 ± 0.03, t= 30.33, 18.38, 4.78, 5.75, respectively, all P < 0.05) , but significantly increased cell apoptosis rate (17.93% ± 0.88%, 17.75% ± 0.35%, 23.97% ± 0.57%, 31.44% ± 0.34%, respectively) compared the control group (3.98% ± 0.03%, 7.81% ± 0.59%, 11.95% ± 0.85%, 12.02% ± 0.48%, t= 15.93, 14.49, 11.74, 33.01, respectively, all P < 0.05) ; 48 hours after activation of LPAR6 by 2S-OMPT and ADO in Sz4 cells, compared with the control group, the LPAR6 overexpression group also showed significantly decreased cellular proliferative activity (2S-OMPT: 1.29 ± 0.04 vs. 1.48 ± 0.01; ADO: 1.27 ± 0.01 vs. 1.51 ± 0.02; both P < 0.05) , but significantly increased cell apoptosis rate (2S-OMPT: 41.70% ± 0.70% vs. 29.35% ± 0.55%; ADO: 37.05% ± 0.15% vs. 24.60% ± 1.00%; both P < 0.05) . Conclusions:LPAR6 was underexpressed in the patients with LCT, and its underexpression was significantly associated with increased risk of poor prognosis. In vitro activation of LPAR6 could inhibit the proliferation of CTCL cells and promote their apoptosis, suggesting that the decrease of LPAR6 expression may be one of the important mechanisms underlying disease progression in patients with LCT.

N6-Methyladenosine (m⁶A) is the most abundant internal modification in eukaryotic mRNA, playing critical role in various bioprocesses. Like other epigenetic modifications, m⁶A modification can be catalyzed by the methyltransferase complex and erased dynamically to maintain cells homeostasis. Up to now, only two m⁶A demethylases have been reported, fat mass and obesity-associated protein (FTO) and alkylation protein AlkB homolog 5 (ALKBH5), involving in a wide range of mRNA biological progress, including mRNA shearing, export, metabolism and stability. Furthermore, they participate in many significantly biological signaling pathway, and contribute to the progress and development of cancer along with other diseases. In this review, we focus on the studies about structure, inhibitors development and biological function of FTO and ALKBH5.

Objective:To construct an intelligent foreign bodies detection model based on Faster R-convolutional neural network in posterior-anterior chest X-ray and evaluate the performance of the model.Methods:Totally 5 567 adult posterior-anterior DR chest radiographs from Zhejiang Provincial People′s Hospital and Chun′an County People′s Hospital from June 2019 to March 2020, with 4 247 foreign body-containing chest radiographs were analyzed retrospectively. All data were randomly divided into training set (2 911 foreign body-containing), validation set ( n=1 456, 733 foreign body-containing, 723 free of foreign body) and testing set ( n=1 200, 603 foreign body-containing, 597 free of foreign body). The reference gold standard was set as the results of each chest radiography with foreign body annotated by two radiology residents and reviewed and corrected by a senior radiographer. The receiver operating characteristic (ROC) curve and the area under the curve were used to analyze the efficiency of the deep learning model to distinguish the presence or absence of foreign bodies on chest radiography in the testing set. The precision-recall curve and mean precision (mAP) were used to analyze the stability of the model at different levels. Finally, the influence of different locations, patient gender, and patient age on the foreign body recall of the deep learning model were analyzed. Results:In the testing set, the sensitivity of the deep learning model in diagnosing whether chest radiograph contained foreign bodies was 93.2%(562/603), the specificity was 92.6%(553/597), and the F1 score was 0.94. The area under the ROC curve was 0.97, and the mAP value was 0.69. For foreign bodies in different locations, the recall rates of foreign bodies in lung field and outside lung field were 91.2% (674/739) and 89.0% (1 411/1 585), respectively. For different genders, the recall rates for male and female foreign body detection were 87.3% (337/386) and 90.0%(1 745/1 938), respectively. For different age ranges, the recall rate of foreign body detection was 92.5% (1 041/1 126) for 18-38 years old, 89.7%(505/563) for 39-58 years old, 83.5%(335/401) for 59-78 years old and 85.9% (201/234) for patients ≥79 years old.Conclusion:The constructed deep learning-based foreign body detection model for adult posterior-anterior chest X-ray provides high sensitivity and stability, which can identify foreign bodies in chest radiography quickly and accurately.

Objective To understand and evaluate the knowledge, attitude and practice of female human papillomavirus and HPV vaccine in Chinese mainland. Methods We searched the relevant studies about the knowledge, attitude and behavior factors of HPV infection and HPV vaccine published in PubMed, MEDLINE, CNKI and Wanfang databases about Chinese mainland women from January 1, 1995 to January 31, 2021.Two researchers independently screened the literatures, extracted data and the literatures with quality score≥5 points.Chi square test was used to evaluate its heterogeneity.Begg' s test was used to evaluate publication bias. Results A total of 33 literatures were included, with a total number of 46013 people.The results showed that the total awareness rate of HPV in the population was 65.9%, the lowest rates were 16.0%, 41.2% and 14.4% in Northeast, rural areas and middle school students, respectively; while the highest rates of HPV were 77.4%, 56.3% and 71.0% in Central China, cities and towns and college students, respectively.The main source of HPV knowledge was the network/WeChat official account number (38.9%), and the lowest was family/friend (4.5%).The population's awareness rate of HPV vaccine related knowledge was 41.4%, the highest rates were 51.8% and 69.7% in East China and medical staff, respectively, while the lowest were 23.6% and 12.7% in Southwest and middle school students. Conclusion In order to achieve the total elimination of cervical cancer in China by 2030 as soon as possible, people should strengthen their awareness of HPV and HPV vaccine related knowledge.

Objective To investigate the effect and mechanism of suberoylanilide hydroxamic acid (SAHA) on the fear extinction in mice with chronic social defeat stress (SD). Methods Fifty-six male C57BL/6J mice aged 7-8 weeks were randomly divided into control group,social defeat group,control-SAHA group and social defeat-SAHA group to investigate the effect of SAHA and social defeat group,social defeat-AAV BDNF group and social defeat-AAV blank group to investigate the effect of BDNF. Fear extinction in mice was evaluated by fear conditioning test (FC). The levels of BDNF and HDAC2 in mice hippocampus were detected by Western blot (WB). The expression of BDNF-overexpressing virus in hippocampus of mice was detected by immunofluorescence assay. Results (1) Compared with control group,fear extinction in the social defeat group was significantly decreased (P<0. 05). Compared with control group, the level of HDAC2(0. 50±0. 02) in the social defeat group was significantly increased (P<0. 001),while the level of BDNF(0. 16 ± 0. 03) was significantly decreased (P<0. 001) in the social defeat group. ( 2) After using SAHA,fear extinction of mice significantly improved (P<0. 05). Compared with control group,the level of HDAC2 (0. 26±0. 02) in the control-SAHA group was significantly decreased(P<0. 001),and the level of BDNF (0. 40±0. 03) was significantly increased (P<0. 001). Compared with social defeat group,the level of HDAC2 (0. 39±0. 03) in the social defeat-SAHA group was significantly decreased (P<0. 001),and the lev-el of BDNF (0. 28±0. 01) was significantly increased (P<0. 001). (3)After injection BDNF-overexpressing virus,fear extinction was significantly improved(P<0. 05). Conclusion SAHA can enhance fear extinction in mice with chronic social defeat stress and its mechanism may be related to the up-regulation of BDNF ex-pression in hippocampus by inhibiting HDAC2 in hippocampal.

Objective To analyze the mutations of causal genes in 5 children with primary distal renal tubular acidosis (dRTA),and explore their association of genotype and phenotype,so as to raise the awareness of the disease.Methods The whole exome sequencing was used to identify mutations in these 5 children from 5 families.Results A total of 4 different mutations of ATP6V0A4 gene were found in 2 dRTA children,including a novel heterozygous intron mutation (c.639 + 1G＞ A),a reported heterozygous nonsense variant (c.580C ＞T,p.Arg194*) and 2 novel heterozygous duplications (c.1504dupT,p.Tyr502Leufs*22;c.2351dupT,p.Phe785Ilefs*28).Two novel heterozygous missense mutations of ATP6V 1B 1 gene (c.409C ＞ T,p.Pro 137Ser;c.904C ＞ T,p.Arg302Trp) were identified in the third child,and a heterozygous missense mutation of SLC4A1 gene (c.1765C ＞ A,p.Arg589Ser) previously reported was found in the fourth child.No mutation of the dRTA-related causal genes was found in the fifth child.Furthermore,the mutations of causal genes in each of the first three children were compound heterozygous,which were consistent with the autosomal recessive inheritance pattern,and the variant from the fourth child was de novo.Conclusions The present study has found 7 mutations,including 5 novel variants,which enriches the human gene mutation database (HGMD) and contributes to a better understanding of the disease mechanisms.