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Background Post-stroke cognitive impairment (PSCI) brings a heavy burden to patients and their families. An early recognition and intervention can help delay the occurrence and development of PSCI. Therefore, the use of accurate neuropsychological assessment tools to screen for PSCI is essential for the management and treatment of PSCI. Objective To analyze the screening accuracy of assessment tools for PSCI by meta-analysis, thus providing references for an accurate screening of PSCI. Methods Diagnostic trials on screening tools of PSCI published from the establishment of the database to December 2022 were searched in CNKI, VIP, Wanfang Data, SinoMed, PubMed, Embase, Web of Science, Cochrane Library. Two researchers respectively screened literatures, extracted data, and assessed the risk of bias. Stata 17.0 software was used to analyze the data. Results A total of 57 articles were included, involving 7 assessment tools [the National Institute of Neurological Disorders and Stroke-Canadian Stroke Network 5-Minute Battery (NINDS-CSN 5-Minutes), the Montreal Cognitive Assessment (MoCA), the Mini-Mental State Examination (MMSE), the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), the Addenbrooke's Cognitive Examination-Revised (ACE-R), the Telephone Interview for Cognitive Status Modified (TICS-m) and the Montreal Cognitive Assessment 5-minute protocol (MoCA-5 min) ] to screen 12 113 patients. Meta-analysis results showed that the combined sensitivity and specificity of MoCA in screening PSCI were 0.84 (95%CI=0.80-0.87) and 0.74 (95%CI=0.67-0.80), respectively, with a combined area under the curve (AUC) of 0.87 (95%CI=0.84-0.90). The combined sensitivity and specificity of MMSE in screening PSCI were 0.73 (95%CI=0.67-0.79) and 0.76 (95%CI=0.69-0.82), respectively, with a combined AUC of 0.81 (95%CI=0.77-0.84). The combined sensitivity and specificity of IQCODE in screening PSCI were 0.73 (95%CI=0.48-0.89) and 0.95 (95%CI=0.75-0.99), respectively, with a combined AUC of 0.91 (95%CI=0.88-0.93). The combined sensitivity and specificity of the NINDS-CSN 5-min in screening PSCI were 0.83 (95%CI=0.78-0.87) and 0.69 (95%CI=0.60-0.76), respectively, with a combined AUC of 0.85 (95%CI=0.81-0.88). The combined sensitivity and specificity of the ACE-R in screening PSCI were 0.90 (95%CI=0.80-0.95) and 0.61 (95%CI=0.19-0.91), respectively, with a combined AUC of 0.90 (95%CI=0.87-0.92). The combined sensitivity and specificity of TICS-m in screening PSCI were 0.84 (95%CI=0.75-0.91) and 0.67 (95%CI=0.61-0.74), respectively, with a combined AUC of 0.66 (95%CI=0.60-0.71) . Conclusion The combined AUC of IQCODE and ACE-R is larger, and the former as a higher combined specificity and the latter has a higher combined sensitivity. Therefore, IQCODE and ACE-R are optimal assessment tools to accurately screen PSCI. Due to the limited number of literatures reporting the IQCODE and ACE-R in screening PSCI, our conclusions still need to be validated by multicenter and large-sample studies.

Aiming at the problem that there is little or no well test data in offshore gas field, through a large number of data statistics of well test data in domestic offshore gas field, grey correlation analysis is then used to explore the root factors affecting gas well productivity. Firstly, pressure square parameter was introduced to correct gas well productivity and thus establish a new forecast chart with this correction. Meanwhile, non-linear regression is used to establish a series of empirical formulas for gas well productivity in conventional gas field and low-permeability gas field under different conditions. The average error between new formula and actual well tests analysis is about 5.6%, also use chart to quality control calculation results and demonstrate the reliability of this new method. This new method for calculating gas well productivity based on pressure correction can solve the problem of little or no well test offshore gas field and can provide an important reference for a rapid evaluation of gas field productivity of a new block. [ABSTRACT FROM AUTHOR]

Courses: Undergraduate courses in interpersonal communication, nonverbal communication, relational communication, computer-mediated communication (CMC), and intercultural communication, as well as basic communication courses. Objectives: The purpose of this activity is twofold: (1) to demonstrate how nonverbal communication shapes content and relational meaning in interpersonal communication; and (2) to demonstrate how nonverbal communication is rule-guided and influenced by culture.

Socioeconomic status (SES) has a considerable impact on cardiovascular health (CVH), which may differ by sex. We aimed to investigate sex-specific socioeconomic disparities in CVH among 31,141 individuals aged 25–64 years who participated in the cross-sectional 2007–2017 Korea National Health and Nutrition Survey (KNHANES) and the Life's Simple 7 metrics were used to define ideal CVH. Latent class analysis was used to estimate overall SES patterns. Logistic regression models were used to estimate sex-specific odds ratios (ORs) and 95% confidence interval (95% CI) for the likelihood of ideal CVH across SES classes, with the highest SES as the reference group. Four SES classes were identified: (1) low class with low education and material property (2.4%), (2) lower-medium class (10.1%) and (3) higher-medium class (43.7%) with increasing material affluence, and (4) high class with highest education and income (43.8%). Lower SES was associated with decreased ideal CVH among women; compared to their high SES counterparts, women with lowest SES were least likely to achieve ideal overall CVH (OR: 0.55, 95%CI: 0.43–0.71). Similar SES gradients in ideal overall CVH for men were also observed but it was less clear (OR (95%CI) for lowest SES: 0.83, 0.51–1.34). Low SES was associated with poorer achievement of ideal CVH with some sex-heterogeneities. Interventions that equalize the distribution of power and resources and targeted sex-specific approaches to empower low socioeconomic subgroups are warranted to prevent the transition from ideal to suboptimal cardiovascular health and to close socioeconomic disparities in CVH among Korean adults. [ABSTRACT FROM AUTHOR]

Background: Airway pressure release ventilation (APRV) has become increasingly popular for the management of acute respiratory distress syndrome (ARDS); however, its clinical impact remains a topic of debate. Furthermore, there is a gap between the guidelines and the actual clinical practices in mechanical ventilation management for ARDS. This survey aimed to explore the utilization of APRV and mechanical ventilation strategies for ARDS in Chinese intensive care unit (ICU) clinicians. Methods: A comprehensive 34‐item survey was distributed online platforms amongst ICU clinicians across mainland China from June to August 2019. Results: A total of 420 valid responses were collected, with 57.4% (241) originating from academic hospitals and 42.6% (179) from non‐academic hospitals. Of the respondents, 98.6% (414) recognized the significance of low tidal volume ventilation for ARDS prognosis, 85.2% adhered to a tidal volume below 8 mL/kg predicted body weight, and most (46.4%) selected the initial positive end‐expiratory pressure within the range of 5–10 cmH2O based on experience. Among the respondents, 62.1% (261) reported familiarity with APRV and 41.9% (176) had implemented APRV. Of those who had utilized APRV, 93.2% (164) believed in its effectiveness for ARDS patients and 69.3% (122) advocated for early application of APRV. Substantial variations were noted regarding APRV initiation settings and the preservation of spontaneous breathing during APRV. Academic hospitals exhibited higher usage rates of lung recruitment, neuromuscular blockade, prone ventilation, and acquaintance with and utilization of APRV compared to non‐academic hospitals (all p values ≤ 0.001). Conclusions: Our findings highlight opportunities for improvement in mechanical ventilation management for ARDS, particularly in non‐academic hospitals. Additionally, a significant proportion of clinicians demonstrated limited knowledge of APRV, and there was a lack of consensus on its application. Further training and larger‐scale clinical trials are required to validate the efficacy and utilization of APRV in managing ARDS. [ABSTRACT FROM AUTHOR]

Nearly a quarter of the total number of deaths in the world are caused by unhealthy living or working environments. Therefore, we consider it significant to introduce the effect of a widely distributed component of air/water/food-source contaminants, polycyclic aromatic hydrocarbons (PAHs), on the human body, especially on immunity in this review. PAHs are a large class of organic compounds containing two or more benzene rings. PAH exposure could occur in most people through breath, smoke, food, and direct skin contact, resulting in both cellular immunosuppression and humoral immunosuppression. PAHs usually lead to the exacerbation of autoimmune diseases by regulating the balance of T helper cell 17 and regulatory T cells, and promoting type 2 immunity. However, the receptor of PAHs, aryl hydrocarbon receptor (AhR), appears to exhibit duality in the immune response, which seems to explain some seemingly opposite experimental results. In addition, PAH exposure was also able to exacerbate allergic reactions and regulate monocytes to a certain extent. The specific regulation mechanisms of immune system include the assistance of AhR, the activation of the CYP-ROS axis, the recruitment of intracellular calcium, and some epigenetic mechanisms. This review aims to summarize our current understanding on the impact of PAHs in the immune system and some related diseases such as cancer, autoimmune diseases (rheumatoid arthritis, type 1 diabetes, multiple sclerosis, and systemic lupus erythematosus), and allergic diseases (asthma and atopic dermatitis). Finally, we also propose future research directions for the prevention or treatment on environmental induced diseases.

OBJECTIVES This study examined socioeconomic inequalities in compliance with precautions and health behavior changes during the coronavirus disease 2019 (COVID-19) outbreak using a representative Korean sample. METHODS This exploratory study utilized around 210,000 participants aged ≥25 years in the Korean Community Health Survey 2020. Socioeconomic status was measured with educational attainment and household income. Outcomes included non-compliance with 8 precaution measures and deterioration in 6 health behaviors. The relative inequality index (RII) was calculated to quantify the degree of inequality by education and income level. RII values >1.0 indicate that deprived people have a higher frequency of health problems, and RII values

Introduction: In 2015, the term 'intrinsic capacity' (IC) was proposed by the World Health Organisation to promote healthy aging. However, the factors associated with IC are still discrepant and uncertain. Aim: We aim to synthesise the factors connected with IC. Methods: This scoping review followed the five‐stage framework of Arksey and O'Malley and was reported using PRISMA‐ScR guidelines. Results: In all, 29 articles were included. IC of older adults is associated with demographic characteristics, socioeconomic factors, disease conditions, behavioural factors, and biomarkers. Age, sex, marital status, occupation status, education, income/wealth, chronic diseases, hypertension, diabetes, disability, smoking status, alcohol consumption, and physical activity were emerged as important factors related to the IC of older adults. Conclusions: This review shows that IC is related to multiple factors. Understanding these factors can provide the healthcare personnel with the theoretical basis for intervening and managing IC in older adults. Relevance to Clinical Practice: The influencing factors identified in the review help to guide older adults to maintain their own intrinsic capacity, thereby promoting their health and well‐being. The modifiable factors also provide evidence for healthcare personnel to develop targeted intervention strategies to delay IC decline. No Patient or Public Contribution: As this is a scoping review, no patient or public contributions are required. [ABSTRACT FROM AUTHOR]

Recently the ever‐increasing demand for wearable electronics has greatly triggered the development of flexible strain sensors. However, it is still challenging to simultaneously achieve high sensitivity, wide working range, and good wearability. Herein, we developed a highly stretchable fiber strain sensor based on wet‐spun porous polyurethane (PU) fiber, and especially a unique conductive network of dual silver (Ag)/carbon black (CB) layers is constructed. Under strain, the rapid crack propagation on the brittle Ag layer brings a large resistance change and thus high sensitivity, while the tunneling‐effect dominated CB layer bridges the separated Ag islands to maintain the integrity of conductive pathways under large strain. By means of the synergistic effect of Ag/CB layers, this composite fiber of Ag/CB@PU presents not only high conductivity of 5139.9 S/m, but also ultrahigh sensitivity with a gauge factor of 2.52 × 106 and a wide working range of up to 200%. Besides that, it is also capable of detecting very tiny strain of 0.1% and working stably for over 8000 cycles. Using mature weaving technology, this fiber strain sensor can be seamlessly integrated into the textile to conformally track different movements of the human body. Together with the facile all‐solution‐based fabrication protocol, this work proposed a new strategy to prepare high‐performance fiber strain sensor, promising the textile‐based wearable applications. [ABSTRACT FROM AUTHOR]