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Carbon fiber reinforced resin matrix composites （CFRP） have emerged as materials of significant research interest， owing to their relevance in achieving national objectives related to carbon peak and carbon neutrality due to their lightweight and high-strength characteristics. Improving the interfacial bonding strength of composites is a key and challenging issue. This paper addressed the challenges associated with the poor surface wettability and low mechanical property conversion rate of carbon fibers by outlining theories of interface reinforcement in CFRP and methods for surface treatment of carbon fibers， emphasizing oxidation methods， chemical grafting， and coating processes to improve the mechanical properties of composites through physical or chemical means. Furthermore， this article delved into the compatibility between carbon fiber and resin matrix from the respective performance characteristics of thermosetting and thermoplastic resins， and proposed different solutions. Finally， this paper reviewed the research progress of CFRP in the fields of aviation， wind turbine blades， and new energy vehicles， and proposed development suggestions for material research under the background of aircraft lightweighting， wind turbine scaling， and popularization of electric vehicles， such as optimizing specific surface modification technologies for carbon fiber with different surface morphologies such as high strength or high modulus， developing modification methods for different resins， developing carbon fiber sizing agents for different categories and application scenarios， strengthening the research on composite materials interface enhancement theory and interface characterization technology， and formulating a standardization system for carbon fiber composite materials.

ObjectiveTo study the prevalence of depression, anxiety, and insomnia among social workers during the prolonged battle against the COVID-19 pandemic and explore the associated risk factors.MethodsUsing a stratified cluster sampling method, we selected all social workers in the five streets of Chaoyang District, Beijing(Jiuxianqiao, Wangjing, Taiyanggong, Shibalidian, Sunhe) from November 2021 to March 2022 as the study population(social worker group), and the frontline medical staffs(medical professional group) of the same age range of the corresponding community hospitals of the same five streets, and the community residents(resident group) as the control population. The ratio of the social worker group, medical professional group, and resident group was 1∶1∶1. The Sojump platform was used to send electronic questionnaires to the wechat groups of social workers, healthcare workers, and community residents to carry out the survey. The screen positive rates for anxiety, depression, and sleep disorders were compared among the 3 groups. Multifactorial Logistic regression and decision tree were used to analyze the influencing factors of anxiety, depression, and sleep disorders among social workers.ResultsA total of 954 questionnaires were collected, of which 62 were disqualified and excluded. Finally, 892 valid questionnaires(93.5%) were included for data analysis. Among them, there were 372 questionnaires(41.7%) from the social worker group, 262(29.4%) from the medical professional group, and 258(28.9%) from the resident group. The prevalences of anxiety, depression, and sleep disorders among social workers group were found to be 15.3%, 22.0%, and 48.1%, respectively, which were significantly higher than those in the medical professional group(7.6%, 10.3%, and 30.5%) and the resident group(7.0%, 8.5%, and 29.5%), all P < 0.001. Multiple Logistic regression showed that family burden(OR=1.80, 95% CI: 1.09-2.96) and Chinese perceived stress scale(CPSS) score(OR=1.34, 95% CI: 1.24-1.45) were independent influencing factors for anxiety among social workers; CPSS score(OR=1.29, 95% CI: 1.20-1.39) and social support rating scale(SSRS) score(OR=0.96, 95% CI: 0.92-1.00) were independent influencing factors for depression among social workers; family history of mental illness(OR=4.91, 95% CI: 1.27-18.94), CPSS score(OR=1.20, 95% CI: 1.14-1.27), and SSRS score(OR=0.95, 95% CI: 0.91-0.98) were independent influencing factors for sleep disorders among social workers. The results of decision tree analysis were consistent with those of multiple Logistic regression analysis. Family burden, CPSS score, and SSRS score were important variables affecting the mental health of social workers, among which CPSS score was strongly associated with anxiety, depression, and sleep disorders among social workers.ConclusionsSocial workers exhibited significant levels of anxiety, depression, and sleep disorders during the long-term pandemic prevention, with CPSS being the most significant influencing factor.

Abstract Background Operating rooms are complex working environments with high workloads and high levels of cognitive demand. The first surgical count which occurs during the chaotic preoperative stage and is considered a critical phase, is a routine task in ORs. Interruptions often occur during the first surgical count; however, little is known about the first surgical counting interruptions. This study aimed to observe and analyse the sources, outcomes, frequency of the first surgical counting interruptions and responses to interruptions. Methods A retrospective observational study was carried out to examine the occurrence of the first surgical counting interruptions between 1st August 2023 and 30th September 2023. The data were collected using the “Surgical Counting Interruption Event Form”, which was developed by the researchers specifically for this study. Results A total of 66 circulating nurses (CNs) and scrub nurses (SNs) were observed across 1015 surgeries, with 4927.8 min of surgical count. The mean duration of the first surgical count was 4.85 min, with a range of 1.03 min to 9.51 min. In addition, 697 interruptions were identified, with full-term interruptions occurring an average of 8.7 times per hour. The most frequent source of interruption during the first surgical counts was instruments (N = 144, 20.7%). The first surgical counting interruptions mostly affected the CN (336 times; 48.2%), followed by the ORNs (including CNs and SNs) (243 times; 34.9%) and the SN (118 times; 16.9%). Most of the outcomes of interruptions were negative, and the majority of the nurses responded immediately to interruptions. Conclusions The frequency of the first surgical counting interruption is high. Managers should develop interventions for interruptions based on different surgical specialties and different nursing roles.

Background Type 2 diabetes mellitus (T2DM) has become a public health burden facing the whole world, with the rapid development of Internet and digital technology, intelligent service model plays an important role in the management of patients with T2DM. Objective To explore the effectiveness of wearable devices combined with health coaching in patients with T2DM. Methods A total of 315 patients with T2DM who were hospitalized in the Second Affiliated Hospital of Nanchang University from June 2020 to June 2021 were selected as the study subjects, and divided into the control group, the intervention A group and the intervention B group based on the method of randomized numerical table, the control group implemented the routine management measures based on capillary blood glucose monitoring, the intervention A group adopted the wearable devices for routine management, the intervention B group was managed by wearable devices combined with health coaching. The differences in glycemic and lipid control status and self-management behaviors among the three groups before and 3, 6, 9 and 12 months after intervention were compared. Results A total of 15 lost visits were made during the implementation of the study, and 300 study subjects were finally included in the analysis, with 100 in each of the three groups. There was an interaction between intervention method and time in the three groups on 2-hour postprandial blood glucose (2 hPG) , glycated hemoglobin (HbA1c) , number of hypoglycemic episodes, low-density lipoprotein cholesterol (LDL-C) , self-management behaviors of diabetes mellitus (2-DSCS) , and self-management behaviors of diabetic patients (SDSCA) scores (P

Methods In our study, we retrospectively constructed a development cohort comprising 733 septic patients admitted to eight Grade-A tertiary hospitals in Shanghai from January 2021 to October 2022. Additionally, we established an external validation cohort consisting of 336 septic patients admitted to our hospital from January 2017 to December 2019. Risk predictors were selected by LASSO regression, and a corresponding nomogram was constructed. We evaluated the model’s discrimination, precision and clinical benefit through receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA) and clinical impact curves (CIC) in both internal and external validation.Results AKI incidence was 53.2% in the development cohort and 48.2% in the external validation cohort. The model included five independent indicators: chronic kidney disease stages 1 to 3, blood urea nitrogen, procalcitonin, D-dimer and creatine kinase isoenzyme. The AUC of the model in the development and validation cohorts was 0.914 (95% CI, 0.894–0.934) and 0.923 (95% CI, 0.895–0.952), respectively. The calibration plot, DCA, and CIC demonstrated the model’s favorable clinical applicability.Conclusion We developed and validated a robust nomogram model, which might identify patients at risk of SA-AKI and promising for clinical applications.

The alkaline process of spent nuclear fuel(SNF) reprocessing refers to reprocessing methods that use the alkaline solution of carbonates or hydroxides as the media to conduct the dissolution of SNF and subsequent separations of uranium, plutonium and other elements. Most of the fission products and minor actinides are either insoluble or changed to insoluble carbonates or hydroxides during the alkaline dissolution of SNF, indicating that the resulted dissolver solution contains less amount of fission and minor actinide elements. Thus, the solution is less radioactive and less corrosive in contrast to the acidic dissolver solution of commercial PUREX(plutonium uranium redox extraction) process. Due to advantages of the alkaline process and its important potential application in SNF reprocessing, researchers from Japan, Russia, the United States, South Korea, etc. have carried out some research work around this reprocessing method. This paper will review technical routes of the alkaline process proposed by these researchers and research progress related to the main processes such as oxidation dissolution of SNF, separation technologies and recovery of used reagents. The challenges and prospects in this field are also discussed.

In this study, surface treatment, using blended materials of nano-silica (NS) and magnesium potassium phosphate cement (MKPC) slurries containing four dosages of NS, was applied to recycled aggregate (RA) with distinct RA maintenance schemes to enhance the RA concrete (RAC) performance and control NS dosage for economy. The results imply that the NS + MKPC slurry can efficiently bolster the bonding with RA and the new interfacial transition zone (ITZ), contributing to a distinct enhancement of RAC’s macro-properties. Besides, the optimal NS dosage and RA maintenance scheme revealed by the simplified linear weighted sum optimization method were 3% and no pre-curing procedure, respectively. On the basis of the aforementioned optimal conditions, the modified RAC (C-3-N) achieved enhanced compressive strength by 40.75%, split tensile strength by 46.26%, and chloride ion penetration resistance by 65.93% in comparison with the untreated RAC0. Moreover, the advantages observed in C-3-N were attributed to the exceptional microstructural characteristics in both the NS + MKPC slurry and the new ITZ. This study establishes the potential to augment the efficacy of nanomaterials in reinforcing RAC and enhance the economic viability and practicability of RAC applications. Simultaneously, these advancements contribute to fostering sustainable development within the construction industry and yielding environmental benefits.

C24H24I2O2, monoclinic, P21/n (no. 14), a = 11.128(2) Å, b = 5.7775(12) Å, c = 17.607(4) Å, β = 98.87(3)°, V = 1118.4(4) Å3, Z = 2, R gt(F) = 0.0246, wR ref(F 2) = 0.0537, T = 296(2) K.

Abstract AlGaN/GaN High Electron Mobility Transistor (HEMT) structures offer superior electrical and material properties that make them ideal for the fabrication of high‐performance Ultraviolet photodetectors (UV PDs), especially using the metal‐semiconductor‐metal (MSM) configuration. However, the metal layout of the MSM design and crystal defects in multi‐stack HEMTs can reduce photocurrent and degrade device performance. Nano‐structuring of the AlGaN/GaN surface with different nanofeatures is a promising approach to improve light absorption efficiency and increase device response. In this work, AlGaN/GaN HEMT MSM UV photodetectors with enhanced performance parameters by engineering the surface with periodic nanohole arrays are demonstrated. Optical simulations are used to optimize the design of the nanoholes' periodicity and depth. Unpatterned and nanohole‐patterned devices with varying nanohole depths are fabricated, and their performance shows substantial enhancement with the incorporation of nanoholes. The device with 40 nm deep nanoholes and 230 nm array periodicity shows the highest performance in terms of photocurrent (0.15 mA), responsivity (1.4 × 105 A W−1), UV/visible rejection ratio (≈103), and specific detectivity (4.9 × 1014 Jones). These findings present a HEMT‐compatible strategy to enhance UV photodetector performance for power optoelectronic applications, highlighting that nanohole patterning is a promising prospect for advancements in UV photodetection technology.

The level of cholesterol in the body is closely related to human health. Although cholesterol has many irreplaceable physiological functions, high cholesterol is one of the causes of many cardiovascular and cerebrovascular diseases. With more extensive and in-depth research on probiotics, many strains have been proved to have a good cholesterol-lowering effect, and their cholesterol-lowering effect has aroused more and more attention. Thus, the development and application of cholesterol-lowering probiotics have a bright future. In this paper, the mechanism of cholesterol synthesis and metabolism in the human body is briefly introduced in terms of its intake, synthesis, conversion and transport. The in vitro cholesterol-lowering mechanism of probiotics by absorbing and binding cholesterol as well as producing cholesterol-lowering metabolites, and the in vivo cholesterol-lowering mechanism of probiotics by inhibiting the intake and synthesis of cholesterol, promoting its transformation and regulating its transport are reviewed. Finally, the evaluation strategies for cholesterol-lowering probiotics are summarized including in vitro tests, animal experiments and clinical studies. This review is expected to provide a reference for the development of probiotic strains with a potent cholesterol-lowering effect.

Abstract Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from disease, complications, and treatment outcomes by applying specific methodologies. Polycystic ovary syndrome (PCOS) is a common disease with a high incidence rate, huge heterogeneity, short- and long-term complications, and complex treatments. In this systematic review study, we reviewed the progress of clinical prediction models in PCOS patients, including diagnosis and prediction models for PCOS complications and treatment outcomes. We aimed to provide ideas for medical researchers and clues for the management of PCOS. In the future, models with poor accuracy can be greatly improved by adding well-known parameters and validations, which will further expand our understanding of PCOS in terms of precision medicine. By developing a series of predictive models, we can make the definition of PCOS more accurate, which can improve the diagnosis of PCOS and reduce the likelihood of false positives and false negatives. It will also help discover complications earlier and treatment outcomes being known earlier, which can result in better outcomes for women with PCOS.

Objective To investigate the effects of thrombospondin1 (THBS1) gene knockout on immune microenvironment and tumor progression of colorectal cancer. Methods THBS1 gene knockout (THBS1-/-) mice were constructed and its genotypes were determined by PCR and agarose gel electrophoresis. Subcutaneous tumor bearing and intraperitoneal implantation metastasis models of colorectal cancer were constructed in wild type (WT) and THBS1-/- mice to observe the effect of THBS1 on tumor growth. Immune cells in epididymal adipose of tumor bearing mice of both types were detected by flow cytometry. Results Compared with the WT mice, THBS1-/- mice showed no difference in tumor growth in colorectal cancer subcutaneous tumor bearing model (P>0.05), but significantly inhibited tumor growth in intraperitoneal implantation metastasis model (P < 0.05). Subsequently, flow cytometry indicated that the proportion of total macrophages in the epididymal adipose tissue was increased in the THBS1-/- mice than the WT mice (P < 0.01), with the proportion of M1-like macrophages (typical or proinflammatory type) increased (P < 0.01) and that of M2-like macrophages (alternately activated or anti-inflammatory type) decreased (P < 0.01). The proportion of myeloid-derived suppressor cells (MDSC) was decreased (P < 0.05), that of Ly6C subgroup was increased (P < 0.01), that of Ly6G subgroup was decreased (P < 0.05), that of CD8+ T cells was significantly increased (P < 0.01), and that of CD4+ T cells was decreased (P < 0.01). There were no changes in the proportions of total macrophages, M1-like macrophages and M2-like macrophages in the peripheral blood of intraperitoneal implantation metastasis model mice (P>0.05). The proportions of MDSC and ly6C subgroup were not changed (P>0.05), while that of ly6G subgroup were decreased (P < 0.05). The proportion of CD8+ T cells was significantly decreased (P < 0.05), while that of CD4+ T cells was not changed (P>0.05). Conclusion THBS1 gene knockout inhibits the intraperitoneal metastasis of colorectal cancer cells by enhancing tumor immunity.

NLRP3 inflammatsome is the most characteristic inflammasome. It can play some roles in the pathogenesis of heart diseases such as heart failure, myocardial infarction, atherosclerosis and arrhythmia. Inhibiting the activation of NLRP3 inflammasome can effectively treat heart diseases. The assembly and activation process of inflammasome are complex. Revealing its activation process and its relationship with heart disease may develop new drugs targeting at the prevention and treatment of heart disease.

Almond oil is a functional vegetable oil obtained from apricot kernel by pressing, extracting and other technologies, which has the effects of anti-oxidation, anti-inflammation, anti-tumor and prevention of cardiovascular diseases. In this review, the extraction process, nutritional composition and health effect of almond oil were summarized, and the future development tendency of almond oil was prospected.

IntroductionDetermining the causal relationship between polycystic ovary syndrome (PCOS) and gestational diabetes mellitus (GDM) holds significant implications for GDM prevention and treatment. Despite numerous observational studies suggesting an association between PCOS and GDM, it remains unclear whether a definitive causal relationship exists between these two conditions and which specific features of PCOS contribute to increased incidence of GDM.MethodsThe causal relationship between polycystic ovary syndrome (PCOS), its characteristic indices, and gestational diabetes mellitus (GDM) was investigated using a two-sample Mendelian randomization study based on publicly available statistics from genome-wide association studies (GWAS). The inverse-variance weighted method was employed as the primary analytical approach to examine the association between PCOS, its characteristic indices, and GDM. MR Egger intercept was used to assess pleiotropy, while Q values and their corresponding P values were utilized to evaluate heterogeneity. It is important to note that this study adopts a two-sample MR design where PCOS and its characteristic indices are considered as exposures, while GDM is treated as an outcome.ResultsThe study results indicate that there is no causal relationship between PCOS and GDM (all methods P > 0.05, 95% CI of OR values passed 1). The IVW OR value was 1.007 with a 95% CI of 0.906 to 1.119 and a P value of 0.904. Moreover, the MR Egger Q value was 8.141 with a P value of 0.701, while the IVW Q value was also 8.141 with a P value of 0.774, indicating no significant heterogeneity. Additionally, the MR Egger intercept was 0.0004, which was close to zero with a P value of 0.988, suggesting no pleiotropy. However, the study did find a causal relationship between several other factors such as testosterone, high-density lipoprotein, sex hormone-binding globulin, body mass index, waist-hip ratio, apolipoprotein A-I, number of children, diabetes illnesses of mother, father and siblings, hemoglobin A1c, fasting insulin, fasting blood glucose, years of schooling, and GDM based on the IVW method.ConclusionWe observed no association between genetically predicted PCOS and the risk of GDM, implying that PCOS itself does not confer an increased susceptibility to GDM. The presence of other PCOS-related factors such as testosterone, high-density lipoprotein, and sex hormone-binding globulin may elucidate the link between PCOS and GDM. Based on these findings, efforts aimed at preventing GDM in individuals with PCOS should prioritize those exhibiting high-risk features rather than encompassing all women with PCOS.

The pivotal aspect of ensuring the secure and stable functioning of Electrical Power Systems (EPS) lies in the online monitoring of transmission line insulator pollution levels, aimed at forestalling pollution flashover incidents. These flashovers typically stem from the buildup of contaminants on insulator surfaces, which, under humid conditions, establish a conductive layer, gravely jeopardizing grid security. Traditional pollution detection approaches, inclusive of manual inspections and offline sampling analyses, suffer from drawbacks like inefficiency, inadequate real-time capabilities, and vulnerability to human intervention, thereby struggling to align with the demands of contemporary power grid intelligence and automation. In view of this, this article innovatively proposes an insulator pollution monitoring model based on hyperspectral image recognition technology. This model fully utilizes the unique spectral integration feature of hyperspectral images, which can provide rich spectral data while obtaining image information, covering a wide spectral range from visible light to infrared and even more, and has extremely high spectral resolution. The experimental results show that the model not only significantly improves the accuracy and real-time performance of pollution detection, but also overcomes many shortcomings of traditional methods.

When the traditional poetry translation model can not be applied to the translation requirements of poetry context, it is necessary to improve the backward translation model. To address the issues in the traditional translation model, this paper utilizes the error in the translation model of the improved clustering algorithm for correction. The poetry translation model’s overall framework is explained in detail, and each module code is analyzed. After optimizing the data in the model, the reasons for the model translation error are analyzed and corrected to achieve a perfect fit between the Chinese and English translations of the poems. The results of the study show that the errors in poetry translation are mainly caused by words and sentences, as analyzed in this paper. This paper also corrects the clustering algorithm for related errors and proposes a model for correcting translation errors in the Logistics Chaos Model. Finally, it is concluded that words and sentences are the key factors that affect the English translation of poetry. Compared with SDPS, LDifC, WFBC, LDivC, and FC, its correctness rate reaches more than 96%, 93%, 92%, 92%, and 95% after correction, respectively. Compared with the pre-correction, their accuracy increased by 0-3.06%, 3.06%-21.05%, 2.11%-10.2%, 4.35%-9.68%, and 0-8.25%, respectively. It can be seen that the translation model with an improved clustering algorithm proposed in this paper is of great significance for the improvement of the accuracy of the DWMA translation text model for an English translation of poetry.

The digital era has ushered in transformative changes for the tourism industry, with virtual reality (VR) technology emerging as a pivotal innovation. This study investigates VR’s role in revolutionizing tourism by offering immersive experiences that enhance the enjoyment of travel and contribute to the preservation and transmission of cultural heritage. Our research assesses VR’s effects on tourism experiences and economic performance by employing panoramic roaming and multi-projection immersive environments. Findings reveal a dramatic increase in tourism returns, with a notable 80% rise in total return on assets for CITS, from 10% in 2013 to 18% in 2023. Additionally, VR has significantly influenced tourists’ spatial-temporal behaviors, boosting their engagement and interest in heritage sites. This paper highlights VR technology’s potential to augment tourism experiences and economic gains, underscoring its importance in the sector’s digital evolution.

Nitrile rubber (NBR) vulcanizates were prepared by coordination crosslinking of cuprous chloride (CuCl), copper acetate (C4H6CuO4), copper sulfate (CuSO4), and copper chloride (CuCl2). The effects of different copper salts on the curing characteristics, mechanical properties, crosslinking density, and Mullins effect under compression mode of the vulcanizate were investigated. The results showed that a three-dimensional network structure with copper salt as the crosslinking point was formed in the coordination reaction of NBR. Compared to CuCl/NBR, C4H6CuO4/NBR, and CuSO4/NBR, CuCl2/NBR vulcanizates had the highest crosslinking density. During the uniaxial cyclic compression, various copper ion coordination cross-linked NBR vulcanizates caused significant Mullins effects, and the Mullins effect significantly weakened with the increasing crosslinking density of the vulcanizate. At the same strain, the maximum compressive stress of the vulcanizate decreased with the increasing number of loadings and unloads, but the instantaneous residual strain increased with the increasing strain and number of loadings and unloads.

This case report describes the lingual orthodontic treatment of a 28-year-old female patient who presented with a bimaxillary protrusion malocclusion, a hyperdivergent facial pattern, mentalis strain, and a ‘gummy’ smile. To achieve favourable occlusal and facial results, the four first premolars were extracted, and micro-screws utilised to provide maximum anchorage. With the widespread application of three-dimensional technology, a digital goal-oriented treatment plan was applied for its predictability and precision. A fully customised lingual appliance system with preset torque in the anterior teeth combined with ribbon-wise arch wires was placed to prevent excessive lingual inclination of the incisors during retraction. As a result, an attractive facial profile and a well-aligned dentition with ideal intercuspation was obtained.

Abstract Objective To determine the prevalence of mitochondrial diseases (MD) in Hong Kong (HK) and to evaluate the clinical characteristics and genetic landscape of MD patients in the region. Methods This study retrospectively reviewed the phenotypic and molecular characteristics of MD patients from participating public hospitals in HK between January 1985 to October 2020. Molecularly and/or enzymatically confirmed MD cases of any age were recruited via the Clinical Analysis and Reporting System (CDARS) using relevant keywords and/or International Classification of Disease (ICD) codes under the HK Hospital Authority or through the personal recollection of treating clinicians among the investigators. Results A total of 119 MD patients were recruited and analyzed in the study. The point prevalence of MD in HK was 1.02 in 100,000 people (95% confidence interval 0.81–1.28 in 100,000). 110 patients had molecularly proven MD and the other nine were diagnosed by OXPHOS enzymology analysis or mitochondrial DNA depletion analysis with unknown molecular basis. Pathogenic variants in the mitochondrial genome (72 patients) were more prevalent than those in the nuclear genome (38 patients) in our cohort. The most commonly involved organ system at disease onset was the neurological system, in which developmental delay, seizures or epilepsy, and stroke-like episodes were the most frequently reported presentations. The mortality rate in our cohort was 37%. Conclusion This study is a territory-wide overview of the clinical and genetic characteristics of MD patients in a Chinese population, providing the first available prevalence rate of MD in Hong Kong. The findings of this study aim to facilitate future in-depth evaluation of MD and lay the foundation to establish a local MD registry.

Objective To investigate the effect of mindfulness-based decompression combined with music therapy on negative emotions, sleep quality and quality of life of patients in cabin hospital. Methods A total of 180 patients with infection of COVID-19 Omicron variant admitted to Jilin Cabin Hospital from April 1 to 10, 2022 were recruited as the research objects. They were randomly divided into control group and observation group, 90 cases in each group. The observation group was set into Ward A and received routine nursing management, and the control group was set into Ward B and received mindfulness decompression combined with music therapy on the basis of routine nursing care. After 10 days'intervention, the results of their negative emotions [Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS)], sleep quality [Pittsburgh Sleep Quality Index (PSQI)], quality of life [the MOS 36 item short form health survey (SF-36)] and nursing satisfaction were compared between the 2 groups. Results After intervention, the SAS (44.27±4.37 vs 49.52±4.83) and SDS scores (43.91±4.32 vs 48.34±4.78), and the score of each dimension and total score (5.72±1.04 vs 7.89±1.21) of PSQI were significantly lower in the observation group than the control group (all P < 0.05). The observation group had obviously higher score of each dimension and total score of SF-36, and increased total nursing satisfaction (95.56 % vs 86.67%) when compared with the control group (P < 0.05). Conclusion Mindfulness decompression combined with music therapy is a better psychological intervention method, with the advantages of improving negative emotions, sleep quality and quality of life in Covid-19 patients in the hospital.

Food supervision sampling is an important technical support of food safety supervision. It is the difficult and key point to make correct food classification and make correct judgment according to relevant standards. This paper summarizes the problems in food classification and technical judgment for 3 types of food including tea and its products， candies and grain products， aiming to provide reference for sampling inspection stuff. It can ensure the accuracy of food classification， reduce the risk of false judgment and improve the efficacy of sampling inspection.

Abstract Aims/Introduction Emerging evidence has suggested the detrimental role of oxidative stress in aggravating ischemia and reperfusion (IR) injury in diabetic livers. Interplay between oxidative stress and mitophagy has been shown. However, the role and mechanism of mitophagy in regulating oxidative stress and IR injury in diabetic livers remain unclear. Materials and Methods Wild‐type and db/db (DB) mice were subjected to a partial warm liver IR model. Liver injury, oxidative stress, mitophagy and related molecular pathways were analyzed. Results Here, we found that increased liver IR injury was observed in DB mice, as evidenced by higher levels of serum alanine aminotransferase and serum aspartate, worsened liver architecture damage and more hepatocellular death. DB mice also showed increased mitochondrial oxidative stress. Mitochondrial reactive oxygen species scavenge alleviated liver IR injury in DB mice. Mechanistic analysis showed that 5′ adenosine monophosphate‐activated protein kinase‐mediated mitophagy was suppressed in DB mice post‐IR. Pharmacological activation of 5′ adenosine monophosphate‐activated protein kinase by its agonist effectively restored mitophagy activation, leading to decreased mitochondrial oxidative stress and attenuated liver IR injury in DB mice. Conclusions Our findings showed that diabetes increased oxidative stress to exacerbate liver IR injury by impairing 5′ adenosine monophosphate‐activated protein kinase‐mediated mitophagy. Strategies targeting oxidative stress and mitophagy might provide a promising approach to ameliorate liver IR injury in diabetes patients.

Objective To explore the effect of chromosome balanced translocation on genomic stability. Methods Abnormal embryos from patients with preimplantation genetic testing for structural rearrangements (PGTSR) indication between January 2019 and December 2020 in Reproductive Hospital Affiliated of Shandong University were divided into two groups. The experimental group was the abnormal chromosome derived from the carriers of the balanced translocation, and the control group was the abnormal chromosome derived from the spouse of the balanced translocation carriers. The parental origin of abnormal chromosomes was identified by haploid analysis to explore the effect of balanced translocation on genomic stability. Results The results of parental origin of non-translocation related abnormal chromosomal fragments showed the experimental group was significantly higher than the control group. As for the whole and mosaic chromosomal abnormality，there was no significant difference between the two groups. Conclusion During meiosis, balanced translocation could affect genome stability by increasing abnormal chromosomal fragments.

Diabetic nephropathy is a microvascular complication of diabetes mellitus, threatening the health of millions of people. Herein, we explored a blood glucose independent function of coptisine on diabetic nephropathy. A diabetic rat model was established by intraperitoneal administration of streptozotocin (65 mg/kg). Coptisine treatment (50 mg/kg/day) retarded body weight loss and reduced blood glucose. On the other hand, coptisine treatment also decreased kidney weight and the levels of urinary albumin, serum creatinine, and blood urea nitrogen, indicating an improvement of renal function. Treatment with coptisine also mitigated renal fibrosis, with alleviative collagen deposition. Likewise, in vitro study showed that coptisine treatment decreased apoptosis and fibrosis markers in HK-2 cells treated with high glucose. Furthermore, after coptisine treatment, the activation of NOD-like receptor pyrin domain containing protein 3 (NRLP3) inflammasome was repressed, with decreased levels of NLRP3, cleaved caspase-1, interleukin (IL)-1β, and IL-18, indicating that the repression of NRLP3 inflammasome contributed to the effect of coptisine on diabetic nephropathy. In conclusion, this study revealed that coptisine mitigates diabetic nephropathy via repressing the NRLP3 inflammasome. It is indicated that coptisine may have the potential to be used in the diabetic nephropathy treatment.

Fiber-reinforced concrete (FRC) has apparent benefits over traditional cementitious composites and possesses a great prospect in civil engineering projects. Previous studies reported that fiber admixtures could effectively enhance the mechanical properties, impermeability, and durability of cementitious composites. Nevertheless, the trade-off of the reinforcing efficiency, cost, and properties of the cementitious composites in different aspects has been a challenge in the application of FRC to practical engineering. This article summarizes a review concerning the recent development of FRC enhanced by different fibers and mainly focused on the fiber-reinforcing effects on the microstructure and the corresponding properties of cementitious composites. The addition of a small amount of fiber material has a significant change in the microstructure and related properties of cement-based materials, but the presence of fibers also causes structural damage and other problems. The direction of future development of some cutting-edge technologies such as coating and hybridization methods on fiber modification was concluded to assist further research in FRC. This review will further enhance the understanding of fiber for reinforcing cementitious composites.

The intersection of media and culture is a dynamic and multifaceted domain that has captivated the attention of scholars, critics, and practitioners alike. This comprehensive academic paper delves into the intricate relationship between media and culture, exploring how media both reflects and shapes cultural norms, values, and identities. It examines key theories, historical perspectives, and contemporary manifestations of this nexus while also addressing the ethical dimensions and future directions of this crucial discourse.

Although a pair of infrared and visible images captured in the same scene have different modes,they also have shared public information and complementary private information.A complete fusion image can be obtained by learning and integrating above information.Inspired by residual network,in the training stage,each branch is forced to map a label with global features through the interchange and addition of feature-levels among network branches.What’s more,each branch is encouraged to learn the private features of corresponding images.Directly learning the private features of images can avoid designing complex fusion rules and ensure the integrity of feature details.In the fusion stage,the maximum fusion strategy is adopted to fuse the private features,add them to the learned public features at the decoding layer and finally decode the fused image.The model is trained over a multi-focused data set that is synthesized from the NYU-D2 and tested over the real-world TNO data set.Experimental results show that compared with the current mainstream infrared and visible fusion algorithms,the proposed algorithm achieves better results in subjective effects and objective evaluation indicators.

Acid value, as an important indicator of its oxidation and quality, is used to measure the content of free fatty acid (FFA) in edible vegetable oil. At present, titration is the most widely used method to examine the acid value of edible oil, which is simple and easy to operate. Titration is effective for the detection of acid in most edible oils, but the detection error rate is higher for edible oil with lower acid value, darker color or certain interference components except FFA. Instrumental analysis methods, such as spectroscopy,electrochemistry, colorimetry and chromatography, can be used as alternatives to titration. Besides, the instrumental analysis methods have better sensitivity and accuracy. In order to further expand and innovate the technology of acid value detection in edible vegetable oil, the production pathway of edible vegetable oil FFA, the features and current situation of acid value detection methods are analyzed and compared, to provide reference for the improvements of acid value detection method and the establishment of new methods.

In order to explore the influencing factors of the effectiveness and stability for stall recovery and its flow mechanism when the antisurge valve is opened quickly, the dynamic stall recovery processes are simulated and the recovery processes at different discharging speeds are emphatically compared. Two numerical simulation methods, i.e., the distributed speed-changeable MG (Moore-Greitzer) model and the RANS (Reynolds Averaged Navier-Stokes) equation are used. The performance curves predicated by the two models agree well. The results of RANS show that the flow field changes are essentially the same when the valve is opened at different speeds. The disturbance, affected by the high-speed air flow generated at the inlet, moves downstream and finally reaches the leading edge of the rotor, whose scale will be further reduced with the impact of axial high-speed flow until completely dissipated. A comparison of different valve opening speeds indicates that the faster the valve is opened, the stronger the high-speed air flow generated at the inlet, shortening the stall recovery time. The greater the disturbance weakening degree, the faster the circumferential propagation speed of the disturbance, and the closer to the rotor speed. In the process of valve opening, the air flow fluctuation is more intense, and more energy is lost.

Objective This study aims to compare the incidence of dentinal microcracks produced by ProTaper Universal (PTU) and ProTaper Gold (PTG) file systems during root canal procedures in different curved canals using a dyeing technique. Methods Sixty extracted human molars were divided into 3 groups of 20 samples each in terms of root curvature (mild bending group, 10 °-19 °; moderate bending group, 20 °-29 °; severe bending group, 30 °-39 °). Ten samples of each group were then randomly allocated to the PTU and PTG file systems. After preparation, all roots were stained using a dyeing method and sectioned at the most curved plane and 2 mm below and above the most curved plane with a low-speed saw under cold water. A stereomicroscope was used to inspect dentinal microcracks at 60 × magnification, and differences between these three instrument groups were analyzed using the chi-square test. Results The PTG file system induced significantly fewer dentinal microcracks for total, incomplete and complete cracks (P < 0.05), and the effect was more obvious with increasing canal curvature. Conclusion With the limitations of this in vitro study, it can be concluded that ProTaper Gold can result in fewer dentinal microcracks than ProTaper Universal.