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Abstract Background Observational studies have revealed associations between maternal lipid metabolites and gestational diabetes mellitus (GDM). However, whether these associations are causal remain uncertain. Objective To evaluate the causal relationship between lipid metabolites and GDM. Methods A two-sample Mendelian randomization (MR) analysis was performed based on summary statistics. Sensitivity analyses, validation analyses and reverse MR analyses were conducted to assess the robustness of the MR results. Additionally, a phenome-wide MR (Phe-MR) analysis was performed to evaluate potential side effects of the targeted lipid metabolites. Results A total of 295 lipid metabolites were included in this study, 29 of them had three or more instrumental variables (IVs) suitable for sensitivity analyses. The ratio of triglycerides to phosphoglycerides (TG_by_PG) was identified as a potential causal biomarker for GDM (inverse variance weighted (IVW) estimate: odds ratio (OR) = 2.147, 95% confidential interval (95% CI) 1.415–3.257, P = 3.26e−4), which was confirmed by validation and reverse MR results. Two other lipid metabolites, palmitoyl sphingomyelin (d18:1/16:0) (PSM(d18:1/16:0)) (IVW estimate: OR = 0.747, 95% CI 0.583–0.956, P = 0.021) and triglycerides in very small very low-density lipoprotein (XS_VLDL_TG) (IVW estimate: OR = 2.948, 95% CI 1.197–5.215, P = 0.015), were identified as suggestive potential biomarkers for GDM using a conventional cut-off P-value of 0.05. Phe-MR results indicated that lowering TG_by_PG had detrimental effects on two diseases but advantageous effects on the other 13 diseases. Conclusion Genetically predicted elevated TG_by_PG are causally associated with an increased risk of GDM. Side-effect profiles indicate that TG_by_PG might be a target for GDM prevention, though caution is advised due to potential adverse effects on other conditions. Graphical Abstract

In recent years, advanced oxidation technology based on sulfate radicals (SO4•-) has attracted attention in the field of water treatment due to its outstanding advantages of high efficiency and stability. However, the common activation methods of persulfate mostly focus on energy input and catalyst introduction, which have problems such as high application costs and difficulties in catalyst recovery, as to limit the application of this technology in practical water treatment processes. Studies have shown that using simple organic compounds as activators enriches the activation pathways of persulfate. In order to further extend the research idea, a system for activation of persulfate with simple organic substances maleic acid was constructed, and the potential of this system for degradation of dye pollutants was explored. The degradation performance of the pollutant was related to the initial concentration of maleic acid, the amount of persulfate dosing and the initial pH of the solution. The oxidation system produced a series of reactive oxidants dominated by ·OH, 1O2 and O2·-, supplemented by a small amount of SO4•-, which degraded the pollutants by the combined action of radical and nonradical reaction pathways. Meanwhile, the system demonstrated good anti-interference ability against actual environmental factors during the application.

Abstract Background Few studies have simultaneously focused on the associations of vegetable and fruit intake, physical activity, school bullying, and Internet addiction (IA) with depressive symptoms. This study aimed to explore the direct and indirect effects of the above factors on depressive symptoms in adolescents by constructing a structural equation model (SEM). Methods This study was conducted in Qingdao from September to November 2021. A total of 6195 secondary school students aged 10–19 years were included in the analysis. Information on all variables was assessed using a self-administered questionnaire. An SEM was constructed with depressive symptoms as the endogenous latent variable, IA as the mediating variable, and vegetable and fruit intake, physical activity, and school bullying as the exogenous latent variables. The standardized path coefficients (β) were the direct effects between the latent variables, and the indirect effects were obtained by the product of direct effects between relevant latent variables. Results The median value with the interquartile range of depressive symptom scores was 7 (3,12). Vegetable and fruit intake (β=-0.100, P

Acute intermittent porphyria (AIP) is caused by mutations in the gene encoding hydroxymethylbilane synthase (HMBS), a key enzyme in the heme biosynthesis pathway. AIP is an autosomal dominant disorder characterized by low penetrance and a highly heterogenous clinical presentation. The estimated prevalence of AIP is 5–10 cases per 100,000 persons, with acute attacks manifesting in less than 1% of the at-risk population. This low frequency of attacks suggests significant roles for oligogenic inheritance and environmental factors in the pathogenesis of the disease. In recent years, identification of several modifier genes has advanced our understanding of the factors influencing AIP penetrance and disease severity. This review summarizes these factors including the impact of specific HMBS mutations, oligogenic inheritance, mitochondrial DNA copy number, age, sex, the influence of sex hormones, and the role of environmental factors. Further studies into the etiology of AIP disease penetrance should inform pathogenesis, potentially allowing for the development of more precise diagnostic and therapeutic approaches.

The development of domestic oilfield is directly related to the national energy security. The domestic oilfield development and production resulted in the generation of large amount of wastewater. The efficient treatment and resource utilization of oilfield wastewater is the key to the green and low-carbon development of China’s petroleum industry. At present，coagulation has become an indispensable technology during oilfield wastewater treatment because of its maturity，economic efficiency and practicability. In this paper，the status and progress of coagulation process in oilfield wastewater treatment were reviewed. The commonly used coagulation process in oilfield wastewater treatment were emphatically introduced. The typical coagulants used in oilfield wastewater treatment were also illustrated. Furthermore，the removal performances and characteristics of novel composite coagulants were specified. On this basis，the processes for enhancing the coagulation performance were introduced. In addition，combining with the practical engineering application，the problems within the coagulation process and the development direction were evaluated emphatically. It was hoped to provide references for the research，development and application of coagulation in oilfield wastewater treatment.

ObjectiveIt is of great significance to improve the efficiency and accuracy of crop pest detection in complex natural environments, and to change the current reliance on expert manual identification in the agricultural production process. Targeting the problems of small target size, mimicry with crops, low detection accuracy, and slow algorithm reasoning speed in crop pest detection, a complex scene crop pest target detection algorithm named YOLOv8-Entend was proposed in this research.MethodsFirstly, the GSConv was introduecd to enhance the model's receptive field, allowing for global feature aggregation. This mechanism enables feature aggregation at both node and global levels simultaneously, obtaining local features from neighboring nodes through neighbor sampling and aggregation operations, enhancing the model's receptive field and semantic understanding ability. Additionally, some Convs were replaced with lightweight Ghost Convolutions and HorBlock was utilized to capture longer-term feature dependencies. The recursive gate convolution employed gating mechanisms to remember and transmit previous information, capturing long-term correlations. Furthermore, Concat was replaced with BiFPN for richer feature fusion. The bidirectional fusion of depth features from top to bottom and from bottom to top enhances the transmission of feature information acrossed different network layers. Utilizing the VoVGSCSP module, feature maps of different scales were connected to create longer feature map vectors, increasing model diversity and enhancing small object detection. The convolutional block attention module (CBAM) attention mechanism was introduced to strengthen features of field pests and reduce background weights caused by complexity. Next, the Wise IoU dynamic non-monotonic focusing mechanism was implemented to evaluate the quality of anchor boxes using "outlier" instead of IoU. This mechanism also included a gradient gain allocation strategy, which reduced the competitiveness of high-quality anchor frames and minimizes harmful gradients from low-quality examples. This approach allowed WIoU to concentrate on anchor boxes of average quality, improving the network model's generalization ability and overall performance. Subsequently, the improved YOLOv8-Extend model was compared with the original YOLOv8 model, YOLOv5, YOLOv8-GSCONV, YOLOv8-BiFPN, and YOLOv8-CBAM to validate the accuracy and precision of model detection. Finally, the model was deployed on edge devices for inference verification to confirm its effectiveness in practical application scenarios.Results and DiscussionsThe results indicated that the improved YOLOv8-Extend model achieved notable improvements in accuracy, recall, mAP@0.5, and mAP@0.5:0.95 evaluation indices. Specifically, there were increases of 2.6%, 3.6%, 2.4% and 7.2%, respectively, showcasing superior detection performance. YOLOv8-Extend and YOLOv8 run respectively on the edge computing device JETSON ORIN NX 16 GB and were accelerated by TensorRT, mAP@0.5 improved by 4.6%, FPS reached 57.6, meeting real-time detection requirements. The YOLOv8-Extend model demonstrated better adaptability in complex agricultural scenarios and exhibited clear advantages in detecting small pests and pests sharing similar growth environments in practical data collection. The accuracy in detecting challenging data saw a notable increased of 11.9%. Through algorithm refinement, the model showcased improved capability in extracting and focusing on features in crop pest target detection, addressing issues such as small targets, similar background textures, and challenging feature extraction.ConclusionsThe YOLOv8-Extend model introduced in this study significantly boosts detection accuracy and recognition rates while upholding high operational efficiency. It is suitable for deployment on edge terminal computing devices to facilitate real-time detection of crop pests, offering technological advancements and methodologies for the advancement of cost-effective terminal-based automatic pest recognition systems. This research can serve as a valuable resource and aid in the intelligent detection of other small targets, as well as in optimizing model structures.

Objective To investigate the occurrence of chronic postsurgical pain (CPSP) among patients with preoperative COVID-19, and further analyze the risk factors for CPSP. Methods This study was a ambispective cohort study, with subjects from a completed cohort study with follow-up. We included the clinical data of the patients with preoperative COVID-19 who underwent surgery at Peking Union Medical College Hospital from December 1, 2022 to February 28, 2023. Follow-up was conducted up to 6 months postoperatively, with the primary outcome being CPSP. Multivariate Logistic regression analysis was used to analyze the correlation between COVID-19-related exposure indicators and CPSP. Results A total of 4117 surgical patients were included, all of whom had preoperative COVID-19. Among them, 4002 cases had mild symptoms during the acute phase, 62 cases had severe symptoms, and 53 cases were critically ill. At 6th month postoperatively, 1298 cases (31.53%) had long COVID-19 syndrome, and the incidence of CPSP was 5.59% (95% CI: 4.88%-6.28%). After adjusting for confounding factors including age, gender, comorbidities, anesthesia method, and type of surgery, multivariate Logistic regression analysis revealed that critically ill COVID-19 during the acute phase (aOR=3.35, 95% CI: 1.48-7.62, P < 0.001) and presence of long COVID-19 syndrome postoperatively (aOR=2.50, 95% CI: 1.90-3.29, P < 0.001) were associated with CPSP. Conclusions It is clear for the first time that critically ill COVID-19 during the acute phase and the presence of long COVID-19 syndrome postoperatively are the risk factors for CPSP among patients with preoperative COVID-19.

BackgroundNegative effects of mobile phone addiction on undergraduate students have led to several health problems including depression， anxiety， attention deficit disorder， cognitive impairment and sleep disturbance. The undergraduate nursing students serve as an important reserve force of the clinical nursing work， and their poor psychological health would have a non-ignorable impact on the quality of the nursing work and the nurse-patient relationship in the future.ObjectiveTo investigate the relation between neuroticism and tendency of mobile phone addiction among undergraduate nursing students， and to examine the pathways through which perceived stress and self-control play a role in the relation by constructing a chain-mediated model.MethodsFrom February to March 2023， a total of 900 undergraduate nursing students across 10 universities in Xi'an， Shaanxi Province were selected through convenient sampling method. Several scales were adopted to assess undergraduate nursing students respectively， including the neuroticism subscale of Eysenck Personality Questionnaire-Revised Short Scale for Chines （EPQ-RSC）， Perceived Stress Scale （PSS）， Self-Control Scale （SCS） and Mobile Phone Addiction Tendency Scale （MPATS）. The assessment were conducted on multiple aspects of these students including neurotic personality， subjective stress， self-control and mobile phone addiction tendency. Model 6 in the SPSS Macro Process 4.1 was used to examine the mediating effect of perceived stress and self-control between neuroticism and mobile phone addiction tendency among undergraduate nursing students.Results① Among the 900 students， 314 cases （34.89%） were found to be addicted to mobile phones. ② The score of neuroticism subscale in EPQ-RSC of nursing undergraduates was positively correlated with the total scores of PSS and MPATS （r=0.400， 0.287， P

This study used metatranscriptomics to investigate the effects of concentrate diet level on rumen microbiome composition and function in goats. A total of 12 healthy 120-day-old Da’er goats were randomly allotted into two treatments: L group (low dietary concentrate level group, concentrate: forage ratio was 25: 75) and H group (high dietary concentrate level group, concentrate: forage ratio was 80: 20). The study included a 10-day pre-feeding period and a 60-day growth experiment. The results showed that compared with the L group, the average daily gain and the slaughter rate in the H group were increased, while the F/G was decreased; the concentration of lactate and ammonia nitrogen, and the proportion of butyrate and valerate in the rumen of the H group were increased, while the proportion of acetate, and the ratio of acetate to propionate were decreased (p

IntroductionThis study explores the emotional impact of religion-related films through a “cinematherapy” lens. It aims to analyze the emotional patterns in a curated selection of religion-related films compared to a broader sample of acclaimed movies using facial recognition with YOLOv5 object detection. The study aims to uncover the potential therapeutic application of religion-related films.MethodsFacial recognition with YOLOv5 object detection was utilized in this study to analyze the emotional patterns in religion-related films. A curated selection of these films was compared to a broader sample of acclaimed movies to identify any distinct emotional trajectories.ResultsThe analysis of the emotional patterns revealed that religion-related films exhibited a subtler range of emotions compared to the broader film spectrum. This finding suggests that these films potentially create a safe space for contemplation, aligning with the profound themes often explored in religion-related films. Interestingly, the emotional arc observed in the films mirrored the spiritual journeys depicted in them. The films started with a low point of separation, transitioned through challenges, and culminated in a peak representing spiritual transformation.DiscussionThese findings suggest promise for the therapeutic application of religion-related films. The muted emotional expression in these films creates a safe space for self-reflection, enabling viewers to connect with the struggles of the characters and explore their own values when faced with complex religious ideas. This emotional engagement may contribute to therapeutic goals such as introspection and personal growth. The study unveils the unique emotional power of religion-related films and paves the way for further research on their potential as therapeutic tools. It emphasizes the need for continued exploration of the emotional impact of these films and their capacity to aid in therapeutic goals.

ObjectiveTo investigate the characteristics of serum perfluoroalkyl substances （PFASs） exposure and potential influencing factors among community residents in Songjiang District， Shanghai.MethodsIn August 2021， residents who underwent routine health checkups in a community in Songjiang District， Shanghai were recruited as study subjects. The inclusion criteria were adult residents who had lived in the area for more than 3 years， had no occupational exposure history， no underlying diseases， were not pregnant， and were able to complete the questionnaire independently and sign the informed consent form. A questionnaire survey was conducted and venous blood samples were collected. The concentrations of 15 PFASs in serum were determined using ultra-high performance liquid chromatography-tandem quadrupole mass spectrometry （UPLC-MS/MS）. Ordered multi-class logistic regression， interquartile range （IQR）， and odds ratio （OR） were used to explore the influencing factors and risk magnitude of serum PFASs concentrations.ResultsOf the 15 PFASs， 14 were detected， and the detection rates of 7 PFASs were higher than 50%. The highest detected concentrations among the PFASs were PFOS （perfluorooctane sulfonate）， PFOA （perfluorooctanoic acid）， and PFHxS （perfluorohexane sulfonate）， with median concentrations of 48.61 μg∙L-1， 37.29 μg∙L-1， and 36.51 μg∙L-1， respectively. The strongest correlation was between PFDA and PFUnDA （r=0.93， P

Dietary energy is crucial for ruminants’ performance and health. To determine optimal dietary energy levels for growing sheep, we evaluated their growth performance, nutrient digestibility, rumen fermentation, barrier function, and microbiota under varying metabolic energy (ME) diets. Forty-five growing Yunnan semi-fine wool sheep, aged 10 months and weighing 30.8 ± 1.9 kg, were randomly allocated to five treatments, each receiving diets with ME levels of 8.0, 8.6, 9.2, 9.8 or 10.4 MJ/kg. The results showed that with increasing dietary energy, the average daily gain (ADG) as well as the digestibility of dry matter (DM) and organic matter (OM) increased (p < 0.05), while the feed conversion ratio (FCR) decreased linearly (p = 0.01). The concentration of total VFA (p = 0.03) and propionate (p = 0.01) in the rumen increased linearly, while rumen pH (p < 0.01) and the acetate–propionate ratio (p = 0.01) decreased linearly. Meanwhile, the protein contents of Claudin-4, Claudin-7, Occludin and ZO-1 as well as the relative mRNA expression of Claudin-4 and Occludin also increased (p < 0.05). In addition, rumen bacterial diversity decreased with the increase of dietary energy, and the relative abundance of some bacteria (like Saccharofermentans, Prevotella and Succiniclasticum) changed. In conclusion, increasing dietary energy levels enhanced growth performance, nutrient digestibility, rumen fermentation, and barrier function, and altered the rumen bacterial community distribution. The optimal dietary ME for these parameters in sheep at this growth stage was between 9.8 and 10.4 MJ/kg.

Exopolysaccharides (EPSs) are carbohydrate polymers that are synthesized and secreted into the extracellular during the growth of microorganisms. Bacillus thuringiensis (Bt) is a type of entomopathogenic bacterium, that produces various insecticidal proteins and EPSs. In our previous study, the EPSs produced by Bt strains were first found to enhance the toxicity of insecticidal crystal proteins against Plutella xylostella. However, the response of the intestinal bacterial communities of P. xylostella under the action of EPSs is still unelucidated. In this study, 16S rRNA amplicon sequencing was used to characterize the intestinal bacterial communities in P. xylostella treated with EPSs alone, Cry1Ac protoxin alone, and both the Cry1Ac protoxin and EPSs. Compared with the control group, alpha diversity indices, the Chao1 and ACE indices were significantly altered after treatment with EPSs alone, and no significant difference was observed between the groups treated with Cry1Ac protoxin alone and Cry1Ac protoxin + EPSs. However, compared with the gut bacterial community feeding on Cry1Ac protoxin alone, the relative abundance of 31 genera was significantly changed in the group treated with Cry1Ac protoxin and EPSs. The intestinal bacteria, through the oral of Cry1Ac protoxin and EPSs, significantly enhanced the toxicity of the Cry1Ac protoxin towards the axenic P. xylostella. In addition, the relative abundance of the 16S rRNA gene in the chloroplasts of Brassica campestris decreased after adding EPSs. Taken together, these results show the vital contribution of the gut microbiota to the Bt strain-killing activity, providing new insights into the mechanism of the synergistic insecticidal activity of Bt proteins and EPSs.