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The COVID-19 pandemic has posed an unprecedented threat to the resilience of higher education worldwide, and university students had been thrust overnight into the emergency online learning. The end of COVID-19 pandemic is in sight, however, teachers and students have been forced to live with its disruptive effects indefinitely. Online teaching has been regarded as a panacea for maintaining the resilience of higher education during COVID-19 pandemic, it is significantly important to reflect on students' learning experiences and learning gains in online classes to improve future online teaching quality. Using a sample of 3514 participants located in the Chinese university context, this study aimed to investigate the determinants that affect students' learning gains in online learning anchored by self-determination theory. The results indicated a significant positive impact of teachers' emotional support in predicting students' learning gains in online classes, and also revealed the positive mediating effect of students' basic psychological needs satisfaction in bridging these two variables. Moreover, the findings highlighted the sophisticated role of students' achievement motivation interacting with teachers' emotional support to influence students' basic psychological needs satisfaction and learning gains. Implications regarding how to improve undergraduate students' learning gains in the future's online teaching were discussed.

Abstract Background The relationship between public health emergencies and psychological distress had been well known, yet none research had been conducted on the trend in psychological resilience and its longitudinal determinants during the pandemic. This study aimed to explore the changes of psychological resilience of university students during COVID-19 pandemic, and further clarify the longitudinal relationship between family factors, mental health, social mentality and psychological resilience. Methods Questionnaires were distributed to students from five universities in Shandong Province, China during the COVID-19. A total of 1635 students were finally included in this three-wave follow-up study using stratified random sampling method. Mental health was assessed by Depression Anxiety Stress Scale, social mentality was measured by the Bi-Dimensional Structure Questionnaire of Social Mentality, psychological resilience was evaluated by the Chinese version of the Psychological Resilience Scale. Repeated-measures analysis of variance was used to analyze the longitudinal changes of psychological resilience, generalized estimating equation (GEE) was conducted to estimate the determinants of psychological resilience. Results Psychological resilience changed from 28.37 in Wave 1, 29.10 in Wave 2, and 29.15 in Wave 3 among the university students. The students who majored in Art (β = 0.872, P = 0.032), parents (mother β = 0.546, P = 0.035; father β = 0.718, P = 0.012) had a greater influence on children’s personality, and positive social mentality (β = 5.725, P

Abstract This study aimed to develop and validate a risk prediction model based on real-world data to assess the risk of delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent video-assisted thoracoscopic (VATS) radical resection. This study is a retrospective study of real-world data. A total of 257 elderly lung adenocarcinoma patients who underwent VATS radical resection from January 2022 to December 2023 in a tertiary hospital in Wuhan were selected. Patients were divided into delayed recovery (n = 42) and non- delayed recovery group (n = 215) according to whether delayed recovery occurred after anesthesia. Lasso regression was used to screen the independent variables. Logistic regression was used to analyze the risk factors of delayed recovery from anesthesia, and a nomogram model was established. Bootstrap method was used to internally verify the nomogram model. Delayed recovery from anesthesia occurred in 42 of 257 elderly lung adenocarcinoma patients underwent VATS radical resection (16.34%). Logistic regression analysis showed that anesthesia duration, intraoperative infusion volume, inhaled desflurane, preoperative respiratory tract infection, intraoperative hypothermia and diagnosed with hypertension were risk factors for delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent VATS radical resection (P

Abstract In the potato mechanical planting industry, the high multi-seeding rate and miss-seeding rate are problems that exist in many potato precision seed metering devices. The main potato seeds in China are cut potatoes with different shapes and sizes. However, there is a lack of research on precision seeding technology for cut potatoes, and the adaptability of many existing potato seeding devices on cut potato is poor. The mechanized precision seeding of potato can effectively reduce labor consumption, improve the seeding effect (decrease multi-seeding rate and miss-seeding rate), improve the improve production of potato per acre and improve the quality commodity potatoes. In response to the above issues, a precision seed metering device with novel scoops, which can adapt to various sizes and shapes of cut potatoes, was developed. In this study, the different seed collecting scenarios (SCSs) were constructed. Through the statics and kinematic analysis, the excess seeds removing (ESR) process was divided in to three areas. The kinematic model of seed potato was established to study the influence of different SCSs and sprocket rotational speeds on the ESR performance, and preliminary determined the appropriate sprocket rotational speed range for ESR process. Then, the coupled simulation results of EDEM and RecurDyn revealed that different sprocket speeds and SCSs had a significant influence on the ESR performance. Finally, the bench tests and field tests were conducted to verify the actual performance of the precision seed metering device. The results showed that, with the increase of the sprocket rotational speed, the ESR performance of the device improved, the multi-seeding rate significantly decreased, but the miss-seeding rate increased. High sprocket rotational speed will remove more seed potatoes and cause high miss-seeding rate. The bench tests showed the appropriate sprocket rotational speed for medium and large potato was 35 r/ min. The field tests obtained the best qualified-seeding rate of 91.54%, the miss-seeding rate of 3.08% and the multi-seeding rate of 5.38%. This study can provide theoretical reference for the design of potato precision seed metering device.

Abstract Background Research indicates that prehabilitation is effective in optimizing physical status before surgery, although this method may be considered “aggressive” for frail elderly patients. This study aimed to evaluate whether multimodal prehabilitation decreases postoperative complications and improves functional recovery in frail elderly patients undergoing gastric cancer surgery, in comparison to usual clinical care. Methods This study was a single-center, single-blind, randomized controlled trial. Patients over 65 years old with a Fried Frailty Index of 2 or higher, scheduled for gastric cancer surgery, were considered for inclusion. Eligible participants were randomized in a 1:1 ratio to either the intervention or control group. The intervention group underwent a 3-week multimodal prehabilitation program prior to surgery, in addition to perioperative care guided by ERAS protocols. The control group received only the latter. The primary outcome was the comprehensive complications index (CCI) measured at 30 days after surgery. Secondary outcomes included 30-day overall complications, functional walking capacity as assessed by 6-minute walking distance (6MWD) at 4 weeks postoperatively, and 3-month postoperative quality of life. This study was registered at ClinicalTrials.gov (No. NCT06510088). Results Among the 112 eligible patients, the median age was 74 years, with 58 (52.7%) being female. No between-group difference was found in the primary outcome measure, 30-day CCI. The Median (Q1-Q3) CCI for the intervention and control groups was 0 (0-12.2) and 0 (0-22.6) (P = 0.082), while the mean (SD) CCI was 6.1 (15.8) and 9.8 (12.7), respectively (P = 0.291). Notably, the incidence of severe complications (CCI > 20) was significantly lower in the intervention group compared to the control group (11.1% vs. 25.9%, P = 0.046), particularly in terms of medical complications (12.3% vs. 29.3%, P = 0.025). Preoperatively, 27 patients (47.4%) in the intervention group exhibited an increase in the 6MWD of at least 20 m, compared to 16 patients (27.6%) in the control group (P = 0.028). At 4 weeks postoperatively, more patients in the intervention group returned to their baseline 6MWD levels (63.2% vs. 43.1%, P = 0.031). Secondary parameters of functional capacity in the postoperative period generally favored the multimodal prehabilitation approach. Conclusions In frail elderly patients undergoing elective gastric cancer surgery, a prehabilitation program did not affect the 30-day postoperative complication rate or CCI but reduced severe complications and improved perioperative functional capacity. Trial registration [ClinicalTrials.gov], [NCT06510088], [07/15/2024], [Retrospectively registered]

Abstract The Hall response can be dramatically different from its quantized value in materials with broken inversion symmetry. This stems from the leading Hall contribution beyond the linear order, known as the Berry curvature dipole (BCD). While the BCD is in principle always present, it is typically very small outside of a narrow window close to a topological transition and is thus experimentally elusive without careful tuning of external fields, temperature, or impurities. We transcend this challenge by devising optical driving and quench protocols that enable practical and direct access to large BCD. Varying the amplitude of an incident circularly polarized laser drives a topological transition between normal and Chern insulator phases, and importantly allows the precise unlocking of nonlinear Hall currents comparable to or larger than the linear Hall contributions. This strong BCD engineering is even more versatile with our two-parameter quench protocol, as demonstrated in our experimental proposal.

Abstract Background Pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) is a treatment for preventing febrile neutropenia (FN) in patients with early breast cancer. However, the optimal injection timing of PEG-rhG-CSF after chemotherapy is obscure. The trial was designed to explore the best administration timing of PEG-rhG-CSF when breast cancer patients could benefit most. Methods Patients with early breast cancer were randomly assigned to receive a preventive injection on the 7th or 3rd day following chemotherapy. The experimental group (n = 80) received PEG-rhG-CSF treatment on day 7 after chemotherapy, whereas the control group (n = 80) received it on day 3. The occurrence of grades 3–4 neutropenia and FN in the first cycle was the primary endpoint. The secondary endpoint was the frequency of PEG-rhG-CSF dose reduction. Results In comparison to the control group, the experimental group exhibited higher white blood cell count (WBC) and absolute neutrophil count (ANC) on the 9th and 13th days following chemotherapy (P

Abstract COVID-19 may induce a state of hypercoagulability, particularly in critically ill patients, for reasons that remain unknown. Numerous studies have identified the presence of antiphospholipid antibodies in patients with COVID-19; however, the definitive diagnosis of antiphospholipid syndrome continues to pose challenges. Here, we present the case of a patient infected with SARS-CoV-2 who developed life-threatening severe thrombocytopenia, profound anaemia, acute pulmonary hypertension, right ventricular failure, and renal insufficiency. Laboratory investigations revealed significantly elevated levels of antiphospholipid antibodies. We conducted a one-year follow-up study with blood sampling performed every 12 weeks. The patient exhibited persistent high titres of antiphospholipid antibodies and ongoing renal dysfunction necessitating daily oral warfarin antithrombotic therapy. Antiphospholipid syndrome is a complex clinical condition that poses challenges for clinicians, particularly in critically ill patients, and is often associated with delayed and inaccurate diagnosis and treatment. Therefore, we extensively reviewed the literature and international guidelines to conduct a comprehensive analysis of the aetiology, pathogenesis, and treatment strategies of APS. We hope this work will provide a valuable reference for health care professionals.

The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.

Abstract With significant advances in classifying and cataloguing topological matter, the focus of topological physics has shifted towards quantum control, particularly the creation and manipulation of topological phases of matter. Floquet engineering, the concept of tailoring a system by periodic fields, offers a powerful tool to manipulate electronic properties of condensed systems, and even to create exotic non-equilibrium topological states that are impossibly present in equilibrium scenarios. In this perspective, we give a brief review of recent progress in theoretical investigations of Floquet engineering topological states from effective models towards realistic materials. We show that light irradiation can realize various desired topological states through the introduction of symmetry breaking, such as first- and higher-order Weyl fermions, quadrupole topological insulator with periodic driving and disorder, quantum anomalous Hall effects with a tunable Chern number, as well as beyond. Moreover, based on first-principles calculations and Floquet theorem, we show several realistic material candidates proposed as potential hosts for promising Floquet topological states, facilitating their verification in experiments. We believe that our perspective on Floquet engineering of topological states will advance further studies of rich exotic light-induced phenomena in condensed matter physics.

Abstract Background Little empirical evidences were provided on the disparity in the level of loneliness between the migrant older with children (MOC) and their local counterpart in China. This study aimed to explore the association between social participation and loneliness and verify whether there was a local-migrant difference in this association. Methods A total of 1332 older people (60 +) were included in this study with 656 MOC and 676 natives. Loneliness was assessed by the University of California Los Angeles Loneliness Scale with eight items (ULS-8). Social participation was evaluated by three kinds of social activities concerning sports activities, hobby activities and community resident interaction. Univariate analysis was conducted to compare the local-migrant disparity as well as the level of loneliness between different subgroups. Hierarchical multiple linear regression analysis was used to examine the proposed relationship and the moderating influence of migration status. Results The average ULS-8 scores were 11.73 ± 4.02 for local subjects and 12.82 ± 4.05 for MOC respectively, indicating a lower level of loneliness among local older people. Participating in hobby activities (β = -0.092, P = 0.003) and interacting with residents (β = -0.216, P = 0.001) more frequently were related to lower level of loneliness while participating in square dancing was related to higher level of loneliness (β = 0.087, P = 0.001). The negative relationships between hobby activities as well as resident interaction and loneliness were more profound in migrants than natives. Conclusions Only two types of social participation could help alleviate loneliness. More attention to older migrants’ loneliness and extending the scale and types of social activities were recommended for policymakers.

Abstract Background "Swiss Cheese" ventricular septal defects represent a serious congenital heart disease with suboptimal clinical outcomes and a lack of consensus regarding its management. This study presents mid-term follow-up results of surgical repairs for "Swiss Cheese" ventricular septal defects, utilizing the two-patch and right ventricle apex-exclusion technique. Methods A retrospective review was conducted on 13 patients who underwent surgical repair utilizing the two-patch and right ventricle apex-exclusion technique at our institution between May 2014 and October 2021. The procedure involved the closure of defects in the outflow tract ventricular septal and the apex trabecular ventricular septal regions using two patches, with concurrent exclusion of the right ventricular apex from the right ventricular inflow tract. Results Median follow-up was 4.9 ± 2.1 years (range: 2–9 years). All cases were successful without mortality or major complications. Two years post-surgery, cardiac magnetic resonance revealed median values for left ventricular ejection fraction, right ventricular ejection fraction, left ventricular end-diastolic volume and right ventricular end-diastolic volume of 63.9% ± 1.8% (range: 61–67%), 49.2% ± 2.6% (range: 46–55%), 39.15 ± 2.11 ml (range: 36.2–42.7 ml), 44.55 ± 3.33 ml (range: 38.7–48.6 ml), respectively. No thrombosis occurred. The latest echocardiography results confirmed normal cardiac function in all cases. Conclusions The surgical repair of "Swiss Cheese" ventricular septal defects utilizing the two-patch and right ventricle apex-exclusion technique is a viable approach with favorable mid-term outcomes. More cases and long-term follow-up results are needed to validate the feasibility and safety of this technique.

Background Studies have confirmed that executive function in overweight and obese children is closely related to obesity and may have a bidirectional association. Aerobic exercise, as an effective intervention, can effectively promote their brain development and cognitive function, especially executive function, but the quantitative relationship of the improvement effect still needs to be further explored. Objective To systematically evaluate the intervention effect of aerobic exercise on executive function-related indexes in overweight and obese children. Methods Randomized controlled trials of aerobic exercise interventions for executive function in overweight and obese children were searched in CNKI, Wanfang Data, CBM, Cochrane Library, PubMed, Embase, and Web of Science databases, and the timeframe for searching was from the establishment of each database to July 2023. The quality of the included literature was assessed according to the Cochrane Risk of Bias Assessment Tool, and Meta-analysis of outcome indicators was performed using RevMan 5.3 and Stata 15.0 software. Results Nine randomized controlled trials, including 940 overweight and obese children, were finally included. The results of Meta-analysis showed that a single session of aerobic exercise intervention was effective in improving the executive function of overweight and obese children (WMD=-6.98, 95%CI=-11.89 to -2.07, P=0.005). Subgroup analyses showed no significant differences in the improvement of any of the executive function subcomponents in overweight and obese children with a single intervention duration of less than 30 minutes of aerobic exercise (WMD=-0.84, 95%CI=-9.37 to 7.68, P=0.85) ; aerobic exercise with a single intervention duration longer than 30 minutes improved inhibitory function in overweight and obese children (WMD=-10.50, 95%CI=-19.15 to -1.85, P=0.02). When a long-term exercise intervention was carried out (the intervention period was 8 weeks), in contrast to the control group, the aerobic exercise improved interference control in overweight and obese children (WMD=-0.16, 95%CI=-0.18 to -0.14, P

Abstract Background Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cause of death. There is an urgent need to develop non-invasive, rapid, cost-effective, and reliable techniques for the early detection of CAD using machine learning (ML). Methods Six hundred eight participants were divided into three groups: healthy, hypertensive, and CAD. The raw data of pulse wave from those participants was collected. The data were de-noised, normalized, and analyzed using several applications. Seven ML classifiers were used to model the processed data, including Decision Tree (DT), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Extra Trees (ET), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting (LightGBM), and Unbiased Boosting with Categorical Features (CatBoost). Results The Extra Trees classifier demonstrated the best classification performance. After tunning, the results performance evaluation on test set are: 0.8579 accuracy, 0.9361 AUC, 0.8561 recall, 0.8581 precision, 0.8571 F1 score, 0.7859 kappa coefficient, and 0.7867 MCC. The top 10 feature importances of ET model are w/t 1, t 3/t max , t max , t 3/t 1, As, h f/3, t f/3/t max , t f/5, w and t f/3/t 1. Conclusion Radial artery pulse wave can be used to identify healthy, hypertensive and CAD participants by using Extra Trees Classifier. This method provides a potential pathway to recognize CAD patients by using a simple, non-invasive, and cost-effective technique.

Abstract With the rapid popularity of online social media, recommendation systems have increasingly harnessed social relations to enhance user-item interactions and mitigate the data sparsity issue. Beyond social connections, the semantic relatedness among items has emerged as a crucial factor in comprehending their inherent connections. In this work, we propose a novel Multi-view Contrastive learning framework for Social Recommendation, named MultiCSR. This framework adaptively incorporates user social networks and item knowledge graphs into modeling users preferences within recommendation systems. To facilitate the alignment of different views, we introduce a dedicated multi-view contrastive learning process that extracts rich information from each view and foster mutual enhancement. Extensive experiments conducted on three real-world datasets demonstrate the effectiveness of our framework over representative recommendation methods. Furthermore, ablation studies offer a deeper understanding of the mechanisms underlying our framework.

Abstract Purpose We explored the dosimetric efficacy of the abdominal deep inspiration breath hold (aDIBH) technique using an audio-guided device in patients with left breast cancer undergoing postoperative adjuvant radiotherapy compared to free breathing (FB). Methods A total of 35 patients with early stage left breast cancer underwent two computed tomography simulation scans each with aDIBH and FB after breast-conserving surgery. Treatment planning was optimized using the Pinnacle3 9.10 planning system. The heart, left anterior descending coronary artery (LADCA), and left lung was defined as organs at risk (OARs). The dosimetric differences in the planning target volume (PTV) and OARs were compared between aDIBH and FB. Results Compared with FB, the heart moved farther caudally and away from the chest wall, and the volume of heart became smaller under aDIBH due to expansion of the lungs. The D mean of the heart, LADCA and left lung of aDIBH were respectively reduced by 332.79 ± 264.61 cGy (P 0.05). Conclusions Implementation of the aDIBH technique for postoperative radiotherapy after breast-conserving surgery of the left breast cancer could reduce irradiation of the heart dose, LADCA dose and left lung dose, without compromising target coverage.

Abstract The long-term practice of mulched drip irrigation (MDI) has significantly advanced cotton production in China’s arid regions. In this study, we conducted an evaluation of the changes to key soil environmental factors within cotton fields under MDI, providing a holistic assessment of MDI sustainability. Specifically, long-term MDI demonstrated numerous benefits including improved soil salinity management, nutrient retention, soil structure, and microbial functions. Collectively, these changes contribute to enhanced overall soil quality. Our research also confirms MDI as an effective integrated water-saving technology approach. Affirming the sustainability of widespread MDI promotion, our findings firmly support its potential as a sustainable and viable solution for oasis agriculture in arid lands, conferring long-term benefits to agricultural production in these regions.

Abstract Recruitment of non-canonical BCOR-PRC1.1 to non-methylated CpG islands via KDM2B plays a fundamental role in transcription control during developmental processes and cancer progression. However, the mechanism is still largely unknown on how this recruitment is regulated. Here, we unveiled the importance of the Poly-D/E regions within the linker of BCOR for its binding to KDM2B. Interestingly, we also demonstrated that these negatively charged Poly-D/E regions on BCOR play autoinhibitory roles in liquid-liquid phase separation (LLPS) of BCORANK-linker-PUFD/PCGF1RAWUL. Through neutralizing negative charges of these Poly-D/E regions, Ca2+ not only weakens the interaction between BCOR/PCGF1 and KDM2B, but also promotes co-condensation of the enzymatic core of BCOR-PRC1.1 with KDM2B into liquid-like droplet. Accordingly, we propose that Ca2+ could modulate the compartmentation and recruitment of the enzymatic core of BCOR-PRC1.1 on KDM2B target loci. Thus, our finding advances the mechanistic understanding on how the tethering of BCOR-PRC1.1 enzymatic core to KDM2B is regulated.

Abstract Down syndrome (DS), caused by an additional chromosome 21, has a high risk of congenital heart defects (CHD), one of the primary causes of mortality in DS newborns. To elucidate the pathogenetic mechanisms underlying this condition, we explored the role of RNA m6A methylation, regulated by METTL3, in DS cardiac development and its impact on the expression of SH3BGR, a gene located at Down syndrome congenital heart disease (DS-CHD) minimal region. We analyzed DS fetal cardiac tissues to assess RNA m6A methylation levels and identify potential contributors. RNA sequencing was performed to detect differentially expressed genes in the same tissues. To further understand METTL3’s function in heart development, we inactivated Mettl3 in the developing mouse heart to mimic the significantly reduced METTL3 observed in DS cardiac development. Additionally, human cardiomyocyte AC16 cells were used to investigate the molecular mechanism by which METTL3 regulates SH3BGR expression. Apoptosis was analyzed to evaluate METTL3’s effect on heart development through SH3BGR regulation. Reduced m6A modification and decreased METTL3 expression were observed in human DS fetal hearts, along with a significant increase of SH3BGR expression. METTL3, through m6A modification, was found to regulate SH3BGR expression, by influencing mRNA stability. METTL3-deficient mouse embryos exhibited heart malformation with increased apoptosis, emphasizing its role in heart development. In DS hearts, METTL3 downregulation and SH3BGR upregulation, potentially orchestrated by abnormal m6A modification, contribute to gene dysregulation and apoptosis. This study reveals novel insights into DS cardiac pathology, highlighting the intricate role of METTL3 in DS congenital heart defects and presenting the m6A modification of SH3BGR as a potential therapeutic target.

Abstract Citrullination plays an essential role in various physiological or pathological processes, however, whether citrullination is involved in regulating tumour progression and the potential therapeutic significance have not been well explored. Here, we find that peptidyl arginine deiminase 4 (PADI4) directly interacts with and citrullinates hypoxia-inducible factor 1α (HIF-1α) at R698, promoting HIF-1α stabilization. Mechanistically, PADI4-mediated HIF-1αR698 citrullination blocks von Hippel-Lindau (VHL) binding, thereby antagonizing HIF-1α ubiquitination and subsequent proteasome degradation. We also show that citrullinated HIF-1αR698, HIF-1α and PADI4 are highly expressed in hepatocellular carcinoma (HCC) tumour tissues, suggesting a potential correlation between PADI4-mediated HIF-1αR698 citrullination and cancer development. Furthermore, we identify that dihydroergotamine mesylate (DHE) acts as an antagonist of PADI4, which ultimately suppresses tumour progression. Collectively, our results reveal citrullination as a posttranslational modification related to HIF-1α stability, and suggest that targeting PADI4-mediated HIF-1α citrullination is a promising therapeutic strategy for cancers with aberrant HIF-1α expression.

Abstract Fixed-point equations in the functional renormalization group approach are integrated from large to vanishing field, where an asymptotic potential in the limit of large field is implemented as initial conditions. This approach allows us to obtain a global fixed-point potential with high numerical accuracy, that incorporates the correct asymptotic behavior in the limit of large field. Our calculated global potential is in good agreement with the Taylor expansion in the region of small field, and it also coincides with the Laurent expansion in the regime of large field. Laurent expansion of the potential in the limit of large field for general case, that the spatial dimension d is a continuous variable in the range $$2\le d \le 4$$ 2 ≤ d ≤ 4 , is obtained. Eigenfunctions and eigenvalues of perturbations near the Wilson–Fisher fixed point are computed with the method of eigenperturbations. Critical exponents for different values of d and N of the O(N) universality class are calculated.

Autoimmune diseases (ADs) are characterized by their complexity and a wide range of clinical differences. Despite patients presenting with similar symptoms and disease patterns, their reactions to treatments may vary. The current approach of personalized medicine, which relies on molecular data, is seen as an effective method to address the variability in these diseases. This review examined the pathologic classification of ADs, such as multiple sclerosis and lupus nephritis, over time. Acknowledging the limitations inherent in pathologic classification, the focus shifted to molecular classification to achieve a deeper insight into disease heterogeneity. The study outlined the established methods and findings from the molecular classification of ADs, categorizing systemic lupus erythematosus (SLE) into four subtypes, inflammatory bowel disease (IBD) into two, rheumatoid arthritis (RA) into three, and multiple sclerosis (MS) into a single subtype. It was observed that the high inflammation subtype of IBD, the RA inflammation subtype, and the MS ''inflammation & EGF'' subtype share similarities. These subtypes all display a consistent pattern of inflammation that is primarily driven by the activation of the JAK-STAT pathway, with the effective drugs being those that target this signaling pathway. Additionally, by identifying markers that are uniquely associated with the various subtypes within the same disease, the study was able to describe the differences between subtypes in detail. The findings are expected to contribute to the development of personalized treatment plans for patients and establish a strong basis for tailored approaches to treating autoimmune diseases.

AbstractContext Qinggong Shoutao Wan (QGSTW) is a pill used as a traditional medicine to treat age-associated memory decline (AAMI). However, its potential mechanisms are unclear.Objective This study elucidates the possible mechanisms of QGSTW in treating AAMI.Materials and methods Network pharmacology and molecular docking approaches were utilized to identify the potential pathway by which QGSTW alleviates AAMI. C57BL/6J mice were divided randomly into control, model, and QGSTW groups. A mouse model of AAMI was established by d-galactose, and the pathways that QGSTW acts on to ameliorate AAMI were determined by ELISA, immunofluorescence staining and Western blotting after treatment with d-gal (100 mg/kg) and QGSTW (20 mL/kg) for 12 weeks.Results Network pharmacology demonstrated that the targets of the active components were significantly enriched in the cAMP signaling pathway. AKT1, FOS, GRIN2B, and GRIN1 were the core target proteins. QGSTW treatment increased the discrimination index from −16.92 ± 7.06 to 23.88 ± 15.94% in the novel location test and from −19.54 ± 5.71 to 17.55 ± 6.73% in the novel object recognition test. ELISA showed that QGSTW could increase the levels of cAMP. Western blot analysis revealed that QGSTW could upregulate the expression of PKA, CREB, c-Fos, GluN1, GluA1, CaMKII-α, and SYN. Immunostaining revealed that the expression of SYN was decreased in the CA1 and DG.Discussion and conclusions This study not only provides new insights into the mechanism of QGSTW in the treatment of AAMI but also provides important information and new research ideas for the discovery of traditional Chinese medicine compounds that can treat AAMI.

The evaluation and matching of CCUS source and sink potential of various geological bodies in Huainan coalfield is of great significance to the engineering popularization of CO2–ECBM technology. In this study, various types of geological bodies, such as deep unworkable coal seam, residual coal body and goaf area, in Huainan coalfield were taken as the research object. Firstly, the evaluation methods of CO2 geologic storage potential of various geologic bodies were discussed. Secondly, the CO2 storage potential of various geologic bodies was analyzed. Then, based on the lowest cost objective function and improved mileage saving method, the source and sink matching research of CO2 geological storage was carried out, and the pipe network design was optimized. Finally, based on the three-step thinking, the design idea of CCS source and sink network planning was proposed. The results show that the total annual CO2 emissions of coal-fired power plants are 58.8 million tons. The total CO2 geological storage potential in deep non-mining coal seam, residual coal and goaf area is 762 million tons, 5.17 million tons and 82.46 million tons, respectively, which can store CO2 for 12.97 years, 0.088 years and 1.40 years, respectively. Within the 10-year cycle, the deep unworkable coal seam can store 587.6 million tons of CO2, and the cumulative planned pipeline is 217.0 960 km with requiring a cumulative capital of 3.73×1010 $. Within the 1.45-year cycle, production mines and closed mines can store 85.2 million tons of CO2, and the cumulative planned pipeline is 464.516 1 km with requiring a cumulative capital of 7.36×109 $. Based on the improved mileage saving method, CCS source and sink matching each geological storage junction saved 266.612 7 km and 1.121×109 $, accounting for 57.40% and 79.95% of the total mileage and total cost of pipeline transportation, respectively. Based on the three-step approach, the whole line of CO2 emission sources and CO2 storage sinks in Huainan coal field can be completed by stages and regions, and all CO2 transportation and geological storage can be realized.

Abstract All-perovskite tandem solar cells have shown great promise in breaking the Shockley–Queisser limit of single-junction solar cells. However, the efficiency improvement of all-perovskite tandem solar cells is largely hindered by the surface defects induced non-radiative recombination loss in Sn–Pb mixed narrow bandgap perovskite films. Here, we report a surface reconstruction strategy utilizing a surface polishing agent, 1,4-butanediamine, together with a surface passivator, ethylenediammonium diiodide, to eliminate Sn-related defects and passivate organic cation and halide vacancy defects on the surface of Sn–Pb mixed perovskite films. Our strategy not only delivers high-quality Sn–Pb mixed perovskite films with a close-to-ideal stoichiometric ratio surface but also minimizes the non-radiative energy loss at the perovskite/electron transport layer interface. As a result, our Sn–Pb mixed perovskite solar cells with bandgaps of 1.32 and 1.25 eV realize power conversion efficiencies of 22.65% and 23.32%, respectively. Additionally, we further obtain a certified power conversion efficiency of 28.49% of two-junction all-perovskite tandem solar cells.

Abstract Background Enhancing the antibacterial properties of polymethyl methacrylate (PMMA) dental resins is crucial in preventing secondary infections following dental procedures. Despite the necessity for such improvement, a universally applicable method for augmenting the antibacterial properties of PMMA without compromising its mechanical properties and cytotoxicity remains elusive. Consequently, this study aims to address the aforementioned challenges by developing and implementing a composite material known as zinc oxide/graphene oxide (ZnO/GO) nanocomposites, to modify the PMMA. Methods ZnO/GO nanocomposites were successfully synthesized by a one-step procedure and fully characterized by TEM, EDS, FTIR and XRD. Then the physical and mechanical properties of PMMA modified by ZnO/GO nanocomposites were evaluated through water absorption and solubility test, contact angle test, three-point bending tests, and compression test. Furthermore, the biological properties of the modified PMMA were evaluated by direct microscopic colony count method, crystal violet staining and CCK-8. Results The results revealed that ZnO/GO nanocomposites were successfully constructed. When the concentration of nanocomposites in PMMA was 0.2 wt. %, the flexural strength of the resin was increased by 23.4%, the compressive strength was increased by 31.1%, and the number of bacterial colonies was reduced by 60.33%. Meanwhile, It was found that the aging of the resin did not affect its antibacterial properties, and CCK-8 revealed that the modified PMMA had no cytotoxicity. Conclusion ZnO/GO nanocomposites effectively improved the antibacterial properties of PMMA. Moreover, the mechanical properties of the resin were improved by adding ZnO/GO nanocomposites at a lower range of concentrations.

Abstract CRISPR/Cas-based transcriptional activators can be enhanced by intrinsically disordered regions (IDRs). However, the underlying mechanisms are still debatable. Here, we examine 12 well-known IDRs by fusing them to the dCas9-VP64 activator, of which only seven can augment activation, albeit independently of their phase separation capabilities. Moreover, modular domains (MDs), another class of multivalent molecules, though ineffective in enhancing dCas9-VP64 activity on their own, show substantial enhancement in transcriptional activation when combined with dCas9-VP64-IDR. By varying the number of gRNA binding sites and fusing dCas9-VP64 with different IDRs/MDs, we uncover that optimal, rather than maximal, cis-trans cooperativity enables the most robust activation. Finally, targeting promoter-enhancer pairs yields synergistic effects, which can be further amplified via enhancing chromatin interactions. Overall, our study develops a versatile platform for efficient gene activation and sheds important insights into CRIPSR-based transcriptional activators enhanced with multivalent molecules.

Abstract Gastrointestinal cancer is the most common malignancy in humans, often accompanied by poor prognosis. N6-methyladenosine (m6A) modification is widely present in eukaryotic cells as the most abundant RNA modification. It plays a crucial role in RNA splicing and processing, nuclear export, translation, and stability. Human AlkB homolog 5 (ALKBH5) is a type of RNA demethylase exhibiting abnormal expression in various gastrointestinal cancers.It is closely related to the tumorigenesis, proliferation, migration, and other biological functions of gastrointestinal cancer. However, recent studies indicated that the role and mechanism of ALKBH5 in gastrointestinal cancer are complicated and even controversial. Thus, this review summarizes recent advances in elucidating the role of ALKBH5 as a tumor suppressor or promoter in gastrointestinal cancer. It examines the biological functions of ALKBH5 and its potential as a therapeutic target, providing new perspectives and insights for gastrointestinal cancer research.

Abstract Background This study aimed to clarify medical-nonmedical difference on the relationship between social capital, mental health and digital health literacy of university students in China, and furtherly provide evidence-based suggestions on the improvement of the digital health literacy for the university students. Methods The snowball sampling method was used to collect data from the university students (including medical students and nonmedical students) through online questionnaires, and finally 1472 university students were included for the data analysis, of whom, 665 (45.18%) were medical students, 807 (54.82%) were nonmedical students; 462 (31.39%) were male, 1010 (68.61%) were female. Mean value of the age was 21.34 ± 2.33 for medical students vs. 20.96 ± 2.16 for nonmedical students. Descriptive analysis, chi-square test analysis, one-way Analysis of Variance (conducted by SPSS) and structural equation modeling (conducted by AMOS) were employed to explore the difference on the relationship between social capital, mental health and digital health literacy between the medical students and nonmedical students. Results The mean value of the digital health literacy was 36.27 (37.33 for medical students vs. 35.39 for nonmedical students). The SEM analysis showed that there was a statistically positive correlation between social capital and digital health literacy (stronger among the nonmedical students (0.317) than medical students (0.184)). Mental health had a statistically positive impact on the digital health literacy among medical students (0.242), but statistically significant correlation was not observed in nonmedical students (0.017). Social capital was negatively correlated with the mental health for both medical students and NMS (stronger among the nonmedical students (0.366) than medical students (0.255)). And the fitness indices of SEM were same between medical students and nonmedical students (GFI = 0.911, AGFI = 0.859, CFI = 0.922, RMSEA = 0.074). Conclusion The digital health literacy of the university student was relatively high. Both social capital and mental health could exert a positive effect on digital health literacy, while social capital was found to be positively associated with mental health. Statistical difference was found between medical students and nonmedical students on the above correlations. Implications were given on the improvement of the digital health literacy among university students in China.

Abstract The development of the retina is under tight temporal and spatial control. To gain insights into the molecular basis of this process, we generate a single-nuclei dual-omic atlas of the human developing retina with approximately 220,000 nuclei from 14 human embryos and fetuses aged between 8 and 23-weeks post-conception with matched macular and peripheral tissues. This atlas captures all major cell classes in the retina, along with a large proportion of progenitors and cell-type-specific precursors. Cell trajectory analysis reveals a transition from continuous progression in early progenitors to a hierarchical development during the later stages of cell type specification. Both known and unrecorded candidate transcription factors, along with gene regulatory networks that drive the transitions of various cell fates, are identified. Comparisons between the macular and peripheral retinae indicate a largely consistent yet distinct developmental pattern. This atlas offers unparalleled resolution into the transcriptional and chromatin accessibility landscapes during development, providing an invaluable resource for deeper insights into retinal development and associated diseases.

Recombinant human bone morphogenetic protein-2 (rhBMP-2) is the predominant growth factor that effectively induces osteogenic differentiation in orthopedic procedures. However, the bioactivity and stability of rhBMP-2 are intrinsically associated with its sequence, structure, and storage conditions. In this study, we successfully determined the amino acid sequence and protein secondary structure model of non-glycosylated rhBMP-2 expressed by an E. coli expression system through X-ray crystal structure analysis. Furthermore, we observed that acidic storage conditions enhanced the proliferative and osteoinductive activity of rhBMP-2. Although the osteogenic activity of non-glycosylated rhBMP-2 is relatively weaker compared to glycosylated rhBMP-2; however, this discrepancy can be mitigated by incorporating exogenous chaperone molecules. Overall, such information is crucial for rationalizing the design of stabilization methods and enhancing the bioactivity of rhBMP-2, which may also be applicable to other growth factors.

Abstract Cytokines have attracted sustained attention due to their multi-functional cellular response in immunotherapy. However, their application was limited to their short half-time, narrow therapeutic window, and undesired side effects. To address this issue, we developed a portable smart blue-light controlled (PSLC) device based on optogenetic technology. By combining this PSLC device with blue-light controlled gene modules, we successfully achieved the targeted regulation of cytokine expression within the tumor microenvironment. To alter the tumor microenvironment of solid tumors, pro-inflammatory cytokines were selected as blue-light controlled molecules. The results show that blue-light effectively regulates the expression of pro-inflammatory cytokines both in vitro and in vivo. This strategy leads to enhanced and activated tumor-infiltrating immune cells, which facilitated to overcome the immunosuppressive microenvironment, resulting in significant tumor shrinkage in tumor-bearing mice. Hence, our study offers a unique strategy for cytokine therapy and a convenient device for animal studies in optogenetic immunotherapy.

Abstract The purpose of this study was to develop a machine learning model for predicting 30-day readmission after bariatric surgery based on laboratory tests. Data were collected from patients who underwent bariatric surgery between 2018 and 2023. Laboratory test indicators from the preoperative stage, one day postoperatively, and three days postoperatively were analyzed. Least absolute shrinkage and selection operator regression was used to select the most relevant features. Models constructed included support vector machine (SVM), generalized linear model, multi-layer perceptron, random forest, and extreme gradient boosting. Model performance was evaluated and compared using the area under the receiver operating characteristic curve (AUROC). A total of 1262 patients were included, of which 7.69% of cases were readmitted. The SVM model achieved the highest AUROC (0.784; 95% CI 0.696–0.872), outperforming other models. This suggests that machine learning models based on laboratory test data can effectively identify patients at high risk of readmission after bariatric surgery.

Abstract Objectives To explore the value of preoperative magnetic resonance imaging (MRI) characterization of intracranial solitary fibrous tumors (ISFT) and to evaluate the effectiveness of preoperative MRI features in predicting pathological grading. Materials and methods This retrospective analysis comprised the clinical and preoperative MRI characterization of 55 patients with ISFT in our hospital, including 27 grade II cases and 28 grade III cases confirmed by postoperative pathology. Variables included age, sex, tumor location, cross-midline status, signal characteristics of T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), T2-fluid-attenuated inversion recovery (T2-FLAIR), and diffusion‑weighted imaging (DWI), peritumoral edema, intralesional hemorrhage, focal necrosis/cystic degeneration, tumor empty vessel, maximum tumor diameter, maximum, minimum, and average values of apparent diffusion coefficient (ADCmax, ADCmin, and ADCmean), tumors enhancement mode, meningeal tail sign, skull invasion, cerebral parenchymal invasion, and venous sinus involvement. The independent samples t test or Mann–Whitney U test was performed to compare continuous data between the two groups, and the Pearson chi-squared test or Fisher’s exact test was used to compare categorical data. In addition, bivariate logistic regression was performed to construct a comprehensive model, and receiver operating characteristic (ROC) curves were generated to calculate the areas under the curve (AUCs), thereby determining the value of each parameter in the differential diagnosis of grades II and III ISFT. Results The mean age at onset was similar between patients with grades II and III ISFT (46.77 ± 14.66 years and 45.82 ± 12.07 years, respectively). The proportions of men among patients with grades II and III ISFT were slightly higher than those of female patients (male/female: 1.25 [15/12] and 1.33 [16/12], respectively). There were significant differences between grades II and III ISFT in the T2-FLAIR and DWI signal characteristics, maximum, minimum, and average values of the apparent diffusion coefficient (ADCmax, ADCmin, and ADCmean), tumor location, and skull invasion (P = 0.001, P = 0.018, P = 0.000, P = 0.000, P = 0.000, P = 0.010, and P = 0.032, respectively). However, no significant differences were noted between grades II and III ISFT in age, sex, cross-midline status, T1WI and T2WI signal characteristics, peritumoral edema, intralesional hemorrhage, focal necrosis/cystic degeneration, tumor empty vessel shadow, enhancement mode, meningeal tail sign, maximum tumor diameter, brain parenchyma invasion, or venous sinus involvement (all P > 0.05). Moreover, binary logistic regression analysis showed that the model accuracy was 89.1% when ADCmin was included in the regression equation. Moreover, ROC curve analysis showed that the AUC of ADCmin was 0.805 (0.688, 0.922), sensitivity was 74.1%, specificity was 75.0%, and the cutoff value was 672 mm2/s. Conclusions Grade III ISFT patients displayed more mixed T2-FLAIR signal characteristics and DWI signal characteristics than grade II patients, as shown by higher skull invasion and tumor mass collapse midline distribution and lower ADCmax, ADCmean, and ADCmin values. The ADCmin value was significant in the preoperative assignment of grades II and III ISFT, thereby contributing to enhanced accuracy in the imaging grading diagnosis of the disease.

Abstract Sepsis-induced acute lung injury (SALI) poses a significant threat with high incidence and mortality rates. Ginsenoside Rg1 (GRg1), derived from Ginseng in traditional Chinese medicine, has been found to reduce inflammation and protect lung epithelial cells against tissue damage. However, the specific roles and mechanisms by which GRg1 mitigates SALI have yet to be fully elucidated. In this context, we employed a relevant SALI mouse model, alongside network pharmacology, molecular docking, and molecular dynamics simulation to pinpoint GRg1's action targets, complemented by in vitro assays to explore the underlying mechanisms. Our research shows that GRg1 alleviates CLP-induced SALI, decreasing lung tissue damage and levels of serum proinflammatory factor IL-6, TNF-α, and IL-1β, also enhancing the survival rate of CLP mice. A total of 116 common targets between GRg1 and ALI, with specific core targets including AKT1, VEGFA, SRC, IGF1, ESR1, STAT3, and ALB. Further in vitro experiments assessed GRg1's intervention effects on MLE-12 cells exposed to LPS, with qRT-PCR analysis and molecular dynamics simulations confirming AKT1 as the key target with the favorable binding activity for GRg1. Western blot results indicated that GRg1 increased the Bcl-2/Bax protein expression ratio to reduce apoptosis and decreased the high expression of cleaved caspase-3 in LPS-induced MLE-12 cells. More results showed significant increases in the phosphorylation of PI3K and AKT1. Flow cytometric analysis using PI and Annexin-V assays further verified that GRg1 decreased the apoptosis rate in LPS-stimulated MLE-12 cells (from 14.85 to 6.54%, p