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Abstract Urolithiasis, a common and recurrent condition, imposes a significant global health burden. This study investigates the causal relationship between various types of fluid intake and urolithiasis using univariable and multivariable Mendelian randomization (MR) approaches. Genetic data for urolithiasis were obtained from the FinnGen Consortium (n = 400,681), while genetic measures for nine fluid types were sourced from meta-analyses of genome-wide association studies (GWAS). The analysis revealed that genetically predicted coffee intake (OR: 0.571, 95% confidence interval (CI): 0.341–0.958, p = 0.034) and ground coffee intake (OR: 0.219, 95% CI: 0.005–0.923, p = 0.038) were protective factors for upper urinary calculi. Additionally, a standard deviation (SD) increase in tea intake was associated with a 53% reduction in risk (OR: 0.473, 95% CI: 0.320–0.700, p

ObjectiveTo analyze the host factors affecting the drug resistance of Helicobacter pylori (Hp).MethodsPatients with Hp infection were consecutively recruited in the Affiliated Suzhou Hospital of Nanjing Medical University from November 2021 to October 2023. Endoscopic biopsy specimens were collected for pathological diagnosis, Hp strain culture and antimicrobial susceptibility test. Nineteen factors involving the basic information, lifestyle, dietary habits, and health status of the patients were collected through electronic medical records and questionnaires. Logistic regression was used to evaluate the association between the patients' factors and drug resistance to clarithromycin, levofloxacin, amoxicillin, furazolidone, tetracycline and metronidazole.ResultsA total of 115 patients (Hp strain 115) with Hp infection who met the inclusion and exclusion criteria were enrolled. There were 53 males (46.09%) and 62 females (53.91%), with an average age of (45.16±13.39) years. Gastroscopic pathology showed 86 cases (74.78%) of superficial gastritis, 6 cases (5.22%) of atrophic gastritis, 14 cases (12.17%) of intestinal metaplasia, 6 cases (5.22%) of low-grade intraepithelial neoplasia, and 3 cases (2.61%) of high-grade intraepithelial neoplasia/gastric cancer. The drug resistance rates of Hp strains to metronidazole, levofloxacin and clarithromycin were 91.30% (105/115), 53.04% (61/115) and 51.30% (59/115), respectively. Resistance to amoxicillin, furazolidone and tetracycline was not found. Dual drug resistance: levofloxacin + metronidazole dual resistance rate was 50.43% (58/115), clarithromycin + metronidazole dual resistance rate was 47.83% (55/115), clarithromycin + levofloxacin dual resistance rate was 36.52% (42/115). Multidrug resistance: clarithromycin + levofloxacin + metronidazole triple resistance rate was 34.78% (40/115). Multivariate Logistic regression analysis showed that (metronidazole was not included in the multivariate analysis due to the absence of sensitive strains), previous Hp eradication history (OR=74.782, 95% CI: 10.377-538.886, P < 0.001) and tap water (OR=4.919, 95% CI: 1.160-20.859, P=0.031) increased the risk of clarithromycin resistance, and age ≥50 years increased the risk of levofloxacin resistance (OR=4.261, 95% CI: 1.420-12.785, P=0.010), previous Hp eradication history (OR=5.855, 95% CI: 2.209-15.517, P < 0.001), 40-59 years old (OR= 3.269, 95% CI: 1.254-8.520, P=0.015) increased the risk of dual resistance to clarithromycin and levofloxacin.ConclusionsThe drug resistance rate of Hp strains isolated from patients in the Affiliated Suzhou Hospital of Nanjing Medical University to metronidazole, levofloxacin and clarithromycin were high, and dual drug resistance and multidrug resistance were prominent. Age, previous Hp eradication history and drinking water source may be associated with single or dual drug resistance to clarithromycin and levofloxacin. Comprehensive consideration, reasonable selection of antibiotics and individualized treatment should be taken into account during Hp eradication.

Abstract This study introduces a novel diagnostic modality for the detection of feline panleukopenia virus (FPV) antibodies in feline serum by using fluorescent microsphere immunochromatographic test strips (FM-ICTS). Leveraging the inherent specificity of antigen-antibody interactions, the FM-ICTS approach demonstrates considerable potential for efficient and accurate FPV antibody detection within a short timeframe. The FM-ICTS method demonstrates strong diagnostic performance, with consistent accuracy and stability over time. PBS buffer dilution enables detection across the range of FPV antibody haemagglutination inhibition (HI) titres in both healthy and immunized or infected cats. A high correlation (R² = 0.9733) between the T/C ratio and FPV antibody titres confirms the method’s effectiveness in quantifying these titres. Clinical validation with 84 samples supports its reliability by matching results with HI assays. Additionally, stability tests show that the test strips maintain performance during storage, with a coefficient of variation (CV) below 12% over three months at 25℃. This innovative FM-ICTS framework emerges as a promising avenue for expedient and dependable disease diagnosis within the realm of veterinary science, offering implications for timely disease management and surveillance.

Abstract Background Streptococcus suis is an important zoonotic pathogen. Biofilm formation largely explains the difficulty in preventing and controlling S. suis. However, little is known about the molecular mechanism of S. suis biofilm formation. Results In this study, transcriptomic and metabolomic analyses of S. suis in biofilm and planktonic states were performed to identify key genes and metabolites involved in biofilm formation. A total of 789 differential genes and 365 differential metabolites were identified. By integrating transcriptomics and metabolomics, five main metabolic pathways were identified, including amino acid pathway, nucleotide metabolism pathway, carbon metabolism pathway, vitamin and cofactor metabolism pathway, and aminoacyl-tRNA biosynthesis metabolic pathway. Conclusions These results provide new insights for exploring the molecular mechanism of S. suis biofilm formation.

C26H21NO3S, triclinic, P 1‾ $\overline{1}$ (no. 2), a = 11.7598(11) Å, b = 12.7434(12) Å, c = 17.0020(16) Å, α = 104.146(3)°, β = 103.926(3)°, γ = 102.322(3)°, V = 2295.5(4) Å3, Z = 4, R gt(F) = 0.0453, wR ref(F 2) = 0.1320, T = 293 K.

C21H21MnN6O6S, monoclinic, P21/c (no. 14), a = 13.093(3) Å, b = 23.810(5) Å, c = 7.9852(17) Å, β = 106.882(4)°, V = 2,382.1(9) Å3, Z = 4, Rgt(F) = 0.0498, wRref(F2) = 0.1299, T = 296(2) K.

C16H14Cl2O5, orthorhombic, P212121 (no. 19), a = 8.6429 (4) Å, b = 11.3361 (6) Å, c = 33.9029 (11) Å, V = 3321.7 (3) Å3, Z = 8, R gt(F) = 0.0635, wR ref(F 2) = 0.1630, T = 293(2) K.

Camelids produce both conventional tetrameric antibodies (Abs) and dimeric heavy-chain antibodies (HCAbs). Although B cells that generate these two types of Abs exhibit distinct B cell receptors (BCRs), whether these two B cell populations differ in their phenotypes and developmental processes remains unclear. Here, we performed single-cell 5′ RNA profiling of peripheral blood mononuclear cell samples from Bactrian camels before and after immunization. We characterized the functional subtypes and differentiation trajectories of circulating B cells in camels, and reconstructed single-cell BCR sequences. We found that in contrast to humans, the proportion of T-bet+ B cells was high among camelid peripheral B cells. Several marker genes of human B cell subtypes, including CD27 and IGHD, were expressed at low levels in the corresponding camel B cell subtypes. Camelid B cells expressing variable genes of HACbs (VHH) were widely present in various functional subtypes and showed highly overlapping differentiation trajectories with B cells expressing variable genes of conventional Abs (VH). After immunization, the transcriptional changes in VHH+ and VH+ B cells were largely consistent. Through structure modeling, we identified a variety of scaffold types among the reconstructed VHH sequences. Our study provides insights into the cellular context of HCAb production in camels and lays the foundation for developing single-B cell-based camelid single-domain Ab screening.

ObjectiveTo provide scientific basis for the prevention and control of foodborne diseases and clinical treatment， the serological， drug resistance and molecular typing characteristics of Salmonella isolated from patients with foodborne diarrhea in Wenzhou City was investigated.MethodsA total of 567 Salmonella strains isolated from foodborne diarrhea cases in Wenzhou City from 2017 to 2021 were sorted out and serotyped. The susceptibility tests to 15 antimicrobial agents were performed using the broth microdilution method. Pulsed field gel electrophoresis （PFGE） was used for molecular typing.ResultsAmong the 567 patients of Salmonella， 326 were male and 241 were female， accounting for 57.5% and 42.5%， respectively. Most of them were children under 6 years old， and 119 strains were isolated， accounting for 21.0%. Next was the elderly over 60 years old， 111 strains of Salmonella were isolated， accounting for 19.6%. The 567 isolates of Salmonella were divided into 50 serotypes， among which the top two serotypes were Salmonella typhimurium （33.5%， 190/567） and Salmonella enteritidis （23.6%， 134/567）. The results showed that the resistance rate to ampicillin was the highest （73.5%， 417/567）. It was followed by tetracycline （63.3%， 359/567）. Salmonella typhimurium had the highest resistance to tetracycline （84.2%， 160/190）， and Salmonella enteritidis had the highest resistance to nalidixic acid （95.5%， 128/134） among 15 antibiotics. Among 567 strains of Salmonella， 178 kinds of drug resistance spectrum were found， the rate of multiple drug resistance was 62.6%and the highest proportion was AMP-AMS-CFZ-CT-NAL. The 201 strains of Salmonella typhimurium and the monophasic varieties of Salmonella typhimurium produced 70 band types. The band types varied greatly and the similarity was between 1.5% and 100%. One hundred and twenty-seven strains of Salmonella enteritidis obtained a total of 32 band types with the similarity between 35.8% and 100%. Fifty strains of Salmonella london obtained a total of 24 band types by PFGE， and the similarity was between 40.0% and 100%.ConclusionFoodborne Salmonella strains isolated in Wenzhou displayed diverse serotypes， varying degrees of drug resistance， and multi-drug resistance. To effectively prevent and control foodborne diseases caused by Salmonella， enhancing monitoring of Salmonella among foodborne diarrhea patients was essential. Timely understanding of Salmonella serotype distribution trends and drug resistance patterns in the region， followed by appropriate measures， was imperative.

Gallium phosphide (GaP) has been increasingly prioritized, fueled by the enormous demands in visible light applications such as biomedical and quantum technologies. GaP has garnered tremendous attention in nanophotonics thanks to its high refractive index, indirect bandgap width of 2.26 eV, lattice perfectly matched with silicon, and omnipotent and competitive nonlinear optical properties. Herein, we review the progress and application of GaP in nanoscale devices over the past two decades. The material properties of bulk GaP are first listed, followed by a summary of the methodologies for fabricating nanoscale devices and related integration techniques. Then, we digest the operational mechanisms across different GaP-based devices on their optical linear responses. Following this, we categorize the GaP nonlinear optical effects into multiple aspects including second-harmonic generation, four-wave mixing, Kerr optical frequency combs, etc. Ultimately, we present a perspective on GaP nanophotonics in the context of coexisting and competing modes of various nonlinear effects. We believe that a comprehensive overview of unique GaP will propel these nanophotonic devices toward a mature state, underpinning foundational understanding and leveraging practical innovations.

ObjectiveTo investigate the clinical features and genetic characteristics of patients with late-onset Pompe disease(LOPD).MethodsA total of 13 patients diagnosed with LOPD in the First Affiliated Hospital of Zhejiang University School of Medicine from September 2020 to December 2023 were selected, and all patients were subjected to clinical investigation, GAA activity detection and GAA gene testing.ResultsAmong the 13 patients, 7 were males and 6 were females; 5 were family patients and 8 were sporadic patients; and the median age of onset was 17 years(8-52 years), the median age of presentation was 24 years(10-52 years), and the median age of diagnosis was 31 years(14-58 years). In terms of the first symptoms, 10 patients presented with limb weakness and 3 patients presented with dyspnea. The average serum creatine kinase level was 552 U/L(55-1084 U/L), and the serum creatine kinase level was normal in one patient. All patients had scoliosis and different degrees of restrictive ventilatory dysfunction. Neuroelectrophysiological examinations of 9 patients showed myogenic damage, and 8 of them had muscle tonic discharge. The mean value of GAA activity was 0.3 μmol/(L·h)[0.17-0.5 μmol/(L·h)]. A total of 13 mutations were detected in GAA gene, and the most common mutation was c.2238G > C(p.W746C).There were five new variant sites: c.543del(p.F181Lfs*40), c.839_840insCC(p.R281Pfs*34), c.1800_1823del(p.S601_ R608del), c.2296T > C(p.Y766H) and c.995C > A(p.S332*).ConclusionsLOPD is a rare disease that tends to delay diagnosis. Proximal limb weakness, decreased respiratory function, mild-to-moderate elevation of creatine kinase, scoliosis, and clinical inferior tonic discharge on electromyography are high-risk images of LOPD. c.2238G > C(p.W746C)is a hotspot mutation, and the discovery of five new mutations enriches the GAA gene mutations lineage.

Abstract Background Serum neurofilament light chain (sNfL) has been identified as a biomarker for neurologic diseases. However, sNfL remains unknown to be responsible for depression. Aims The aim of this research was to explore the relationship between sNfL levels and depression in US adults. Methods In this cross-sectional survey of the general population, we investigated representative data involving 10,175 participants from the 2013–2014 cycle of the National Health and Nutrition Examination Survey (NHANES). Depression was diagnosed using the Patient Health Questionnaire-9 (PHQ-9). The effect of related factors on depression was analyzed by conducting a univariate analysis. Stratified analysis was utilized to detect the stability and sensitivity of the relationship. After adjusting for race, education, marital status, smoking status, body mass index (BMI), sleep duration, income, and a history of hypertension, sedentary behavior and stroke, multivariable linear regression was performed to demonstrate the correlation between sNfL and depression. Results A total of 1301 individuals between the ages of 20 and 75 were involved in this investigation, of which 108 (8.3%) were diagnosed with depression. A significant positive correlation between sNfL and depression among adults in the US was observed by conducting univariable analyses. After adjusting for confounding factors, the multivariate analyses indicated that elevated sNfL levels might play a pivotal role in the development of depression (odds ratio (OR) = 3.0; 95% confidence interval (CI): (1.5, 6.1), P = 0.002). Conclusion These results indicated that sNfL is closely linked to depression in a nationally representative individual. However, further studies are needed to confirm the biological mechanism as well as the clinical implications of sNfL and depression.

Background: Pilates is among the best conservative management strategies for chronic low back pain. However, several variations of Pilates exist. This study aimed to investigate physical measures that would detect immediate changes after a brief session of Clinical Pilates exercises. Changes in self-reported clinical outcomes, pain and function were also evaluated. Methods: A prospective cohort study was conducted. Eighteen young adults with chronic low back pain participated in this study. Participants were assessed for pain and function subjectively, and hip/knee strength and trunk/hip flexibility objectively, followed by a session of Clinical Pilates assessment and exercises. After the exercises, the participants were immediately reassessed for pain, function, strength, and flexibility. Results: Trunk/hip flexibility showed statistically significant changes after exercise, which were measured with the sit-and-reach test (−3.44 cm, 95% CI [−5.10, −1.79], p < 0.001) and the finger-to-floor test (−6.29 cm [−9.51, −3.06], p = 0.001). Statistical significance was not found in detecting strength changes in hip extension, hip abduction, and knee extension. Changes in pain (1.56 points [0.83, 2.28], p < 0.001) and patient-specific functional scale (−1.52 points [−1.93, −1.10], p < 0.001) were also found after exercise. Conclusions: Trunk/hip flexibility measures detected physical changes after Clinical Pilates exercise, as well as self-reported pain and function outcomes, without reducing strength performance.

Accurate photovoltaic （PV） output power forecasting plays a crucial role in ensuring the secure and stable operation of distribution networks. In light of this， the paper proposes a short-term PV power forecasting method using cosine similarity and a hybrid TSO （tuna swarm optimization） and BP （back propagation） neural network. Firstly， the cosine similarity algorithm is utilized to identify historical data with strong resemblance to the forecast day as training samples. Subsequently， the TSO algorithm is employed to search for optimal initial weights and thresholds for the BP neural network. The TSO-BP model is then trained for short-term PV power forecasting. Finally， the TSO-BP model is applied to predict PV output power under both stable and fluctuating weather conditions. Simulation results indicate that， the proposed method， compared to traditional forecasting methods， achieves higher accuracy in predictions for both steady and fluctuating weather scenarios.

Abstract Bacteria utilize intercellular communication to orchestrate essential cellular processes, adapt to environmental changes, develop antibiotic tolerance, and enhance virulence. This communication, known as quorum sensing (QS), is mediated by the exchange of small signalling molecules called autoinducers. AI-2 QS, regulated by the metabolic enzyme LuxS (S-ribosylhomocysteine lyase), acts as a universal intercellular communication mechanism across gram-positive and gram-negative bacteria and is crucial for diverse bacterial processes. In this study, we demonstrated that in Streptococcus suis (S. suis), a notable zoonotic pathogen, AI-2 QS enhances galactose utilization, upregulates the Leloir pathway for capsular polysaccharide (CPS) precursor production, and boosts CPS synthesis, leading to increased resistance to macrophage phagocytosis. Additionally, our molecular docking and dynamics simulations suggest that, similar to S. pneumoniae, FruA, a fructose-specific phosphoenolpyruvate phosphotransferase system prevalent in gram-positive pathogens, may also function as an AI-2 membrane surface receptor in S. suis. In conclusion, our study demonstrated the significance of AI-2 in the synthesis of galactose metabolism-dependent CPS in S. suis. Additionally, we conducted a preliminary analysis of the potential role of FruA as a membrane surface receptor for S. suis AI-2.

Background: Memory decline is the earliest symptom of various neurodegenerative disease, such as Alzheimer's disease (AD). However, accurately the prediction and identification of risk factors leading up to memory decline has remained limited. Objective: The objective of this study is to create and verify a machine learning model that can accurately predict risk factors for memory decline among US adults. Methods: A total of 9971 individuals were enrolled from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 database. The least absolute shrinkage and selection operator (LASSO) was used to screen for characteristic predictors. Five machine learning (ML) algorithms: including Logistic Regression, ExtraTrees classifier, Bagging classifier, eXtreme Gradient Boosting (XGBoost), and Random Forest (RF) were employed. The performance of each model was evaluated by confusion matrix, area under curve (AUC), accuracy, precision, specificity, Recall and F1 scores. Results: The ultimate sample comprised 4525 subjects, of whom 7.7 % (N = 347) exhibited memory deterioration. The ExtraTrees classifier model and the XGBoost model demonstrated superior prediction performance and clinical value compared to other independent machine learning models, based on the AUC value of 0.915 and 0.911. Additionally, they consistently demonstrated accurate predicting ability for memory decline in the external datasets, with an AUC of 0.851 and 0.843, respectively. Conclusion: The ExtraTrees classifier and the XGBoost models were the two outperformed models in predicting memory decline. Nevertheless, it is necessary to conduct future investigations to confirm the accuracy of our findings.

BackgroundPrevious studies investigating environmental and behavioral drivers of chronic disease have often had limited temporal and spatial data coverage. Smartphone-based digital phenotyping mitigates the limitations of these studies by using intensive data collection schemes that take advantage of the widespread use of smartphones while allowing for less burdensome data collection and longer follow-up periods. In addition, smartphone apps can be programmed to conduct daily or intraday surveys on health behaviors and psychological well-being. ObjectiveThe aim of this study was to investigate the feasibility and scalability of embedding smartphone-based digital phenotyping in large epidemiological cohorts by examining participant adherence to a smartphone-based data collection protocol in 2 ongoing nationwide prospective cohort studies. MethodsParticipants (N=2394) of the Beiwe Substudy of the Nurses’ Health Study 3 and Growing Up Today Study were followed over 1 year. During this time, they completed questionnaires every 10 days delivered via the Beiwe smartphone app covering topics such as emotions, stress and enjoyment, physical activity, access to green spaces, pets, diet (vegetables, meats, beverages, nuts and dairy, and fruits), sleep, and sitting. These questionnaires aimed to measure participants’ key health behaviors to combine them with objectively assessed high-resolution GPS and accelerometer data provided by participants during the same period. ResultsBetween July 2021 and June 2023, we received 11.1 TB of GPS and accelerometer data from 2394 participants and 23,682 survey responses. The average follow-up time for each participant was 214 (SD 148) days. During this period, participants provided an average of 14.8 (SD 5.9) valid hours of GPS data and 13.2 (SD 4.8) valid hours of accelerometer data. Using a 10-hour cutoff, we found that 51.46% (1232/2394) and 53.23% (1274/2394) of participants had >50% of valid data collection days for GPS and accelerometer data, respectively. In addition, each participant submitted an average of 10 (SD 11) surveys during the same period, with a mean response rate of 36% across all surveys (SD 17%; median 41%). After initial processing of GPS and accelerometer data, we also found that participants spent an average of 14.6 (SD 7.5) hours per day at home and 1.6 (SD 1.6) hours per day on trips. We also recorded an average of 1046 (SD 1029) steps per day. ConclusionsIn this study, smartphone-based digital phenotyping was used to collect intensive longitudinal data on lifestyle and behavioral factors in 2 well-established prospective cohorts. Our assessment of adherence to smartphone-based data collection protocols over 1 year suggests that adherence in our study was either higher or similar to most previous studies with shorter follow-up periods and smaller sample sizes. Our efforts resulted in a large dataset on health behaviors that can be linked to spatial datasets to examine environmental and behavioral drivers of chronic disease.

Background: Fine particulate matter (PM2.5) exposure is an important environmental risk for maternal and children's health, with peak exposures especially those derived from primary combustion hypothesized to pose greater risk. Identifying PM2.5 peaks and their contributions to personal exposure remains challenging. This study measured personal PM2.5 exposure, characterized primary combustion peaks, and investigated their determinants during and after pregnancy and among Hispanic women in Los Angeles, CA. Methods: Continuous personal PM2.5 exposure, Global Positioning System geolocation, and ecological momentary assessment surveys were collected from 63 women for 4 consecutive days in their 1st trimester, 3rd trimester and 4–6 months postpartum. Based on the shape of PM2.5 time-series, primary combustion peaks were identified, characterized (number, duration, area under the curve [AUC]), and linked with locations they occurred in. Zero-inflated generalized mixed-effect models were used to examine the spatial and temporal determinants of PM2.5 peak exposures. Results: A total of 490 PM2.5 peaks were identified from 618 person-days of monitoring. Spending an additional minute at parks and open spaces was related to smaller (AUC decreased 3.1 %, 95 % CI: 1.5 %–4.6 %) and shorter (duration decreased 1.7 %, 0.5 %–2.9 %) PM2.5 peak exposure. An additional minute in vehicular trips also related to smaller and shorter peak exposure (AUC and duration decreased 2.5 %, 1.2 %–3.7 % and 1.8 %, 1.0 %–2.6 %, respectively). However, an additional minute at industrial locations was associated with greater number (3.6 %, 2.0 %–5.2 %), AUC (1.6 %, 0.1 %–3.2 %) and duration (1.0 %, 0.0 %–2.1 %) of personal PM2.5 peak exposure. Conclusions: This study demonstrates the potential to statistically identify exposure to primary combustion PM2.5 peaks and understand their determinants from personal monitoring data. Results suggest that visits to parks and open spaces may minimize PM2.5 peak exposures, while visiting industrial locations may increase them in and around pregnancy.

Abstract Background Glioblastoma multiforme (GBM) is the most common primary CNS tumor, characterized by high mortality and heterogeneity. However, the related lncRNA signatures and their target microRNA (miRNA) for GBM are still mostly unknown. Therefore, it is critical that we discover lncRNA markers in GBM and their biological activities. Materials and methods GBM-related RNA-seq data were obtained from the Cancer Genome Atlas (TCGA) database. The “edger” R package was used for differently expressed lncRNAs (DELs) identification. Then, we forecasted prospective miRNAs that might bind to lncRNAs by Cytoscape software. Survival analysis of those miRNAs was examined by the starBase database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the miRNAs’ target genes was conducted by the Gene Set Enrichment Analysis (GSEA) database and R software. Moreover, the proliferative ability of unc-5 netrin receptor B antisense RNA 1 (UNC5B-AS1) cells was evaluated by Cell Counting Kit-8 (CCK-8) analysis. Mechanistically, the regulatory interaction between UNC5B-AS1 and miRNA in GBM biological processes was studied using CCK-8 analysis. Results Our results indicated that overexpression of UNC5B-AS1 has been shown to suppress GBM cell growth. Mechanistically, miR-24-3p in GBM was able to alleviate the anti-oncogenic effects of UNC5B-AS1 on cell proliferation. Conclusion The discovery of the novel UNC5B-AS1-miR-24-3p network suggests possible lncRNA and miRNA roles in the development of GBM, which may have significant ramifications for the analysis of clinical prognosis and the development of GBM medications.

In order to investigate the quality of whole wheat bread flour in Chinese market, the physicochemical quality, rheological properties, processing quality and baking quality of 10 representative whole-wheat bread flour(WWBF) were analyzed. The results showed that the moisture content of WWBF ranged from 8.30 g/100 g to 13.39 g/100 g. The ash content of WWBF ranged from 0.6 g/100 to 2.5 g/100 g, with an average of 1.5 g/100 g. The protein contents of WWBF were between 13.92 g/100 g and 15.86 g/100 g. The content of wet gluten ranged from 30.20% to 47.10%. The average dietary fiber was 10.25 g/100 g, and the dietary fiber of 9 samples were between 8.65 g/100 g and 14.31 g/100 g. The content of alkylresorcinol of WWBF in 9 samples ranged from 234.72 μg/g to 508.48 μg/g. There were 7 samples with stabilization time longer than 7 min and 9 samples with stabilization time longer than 5 min. The maximum fermentation height Hm of dough were between 23.8 mm and 42.9 mm. The whole wheat bread with 60% WWBF had a good appearance, bread structure, soft taste and rich flavor. The sensory scores of whole-wheat bread ranged from 77.8 to 102.0. Whole wheat breads were all qualified. In short, WWBF products in China were relatively lack. The dietary fiber content and alkyl resorcinol content of WWBF were higher, and the processing quality and baking quality were good.

As an important ecological barrier in the Guangdong-Hong Kong-Macao Greater Bay Area, Shimentai Nature Reserve aims to protect the integrity of the ecosystem and biodiversity. It was established as a provincial-level nature reserve in 1998 and upgraded to a national level nature reserve in 2012. However, the changes in the quality of the ecological environment remain unclear. This study quantitatively assessed the changes in the ecological quality of the Shimentai Nature Reserve from 1997 to 2021 based on the Remote Sensing Ecological Index (RSEI), explored the changes in ecological quality before and after the establishment of the nature reserve and the upgrading of the control level, and discussed the reasons for the evolution using the Random Forest Algorithm and correlation analysis method. The results showed that the RSEI value of Shimentai Nature Reserve dynamically increased from 0.637 in 1997 to 0.714 in 2011, and the ecological environment quality steadily improved as the nature reserve was upgraded from the provincial to the national level; the RSEI reached 0.788 by 2021. The quality of the ecological environment has improved in 64.5% of the protected area, the buffer zone has improved more obviously, and the deteriorated areas are mainly concentrated in the experimental area where human activities are frequent and in the high-altitude ridge area in the core area. Meanwhile, the ecological environment quality of the buffer zone and the low-altitude area in the core area is adequate and relatively stable. The RSEI responded most clearly to elevation, with the best ecological quality between 300 and 600 m and relatively poorer quality above 900 m. On the slope upward with the south slope as the turning point, the quality of the ecological environment gradually improved from the north slope to the south slope in a clockwise direction, and then gradually deteriorated from the south slope to the north slope. At a cut-off point of 15° on the slope, the RSEI briefly increased and then decreased continuously. The RSEI was highest at a soil pH of 5.3, organic carbon mass fraction of 4.1%, and clay mass fraction of 32%. The degree of influence of residential activities on the quality of the ecological environment from the outside to the inside (i.e., the experimental area-buffer area-core area) was gradually reduced and negatively affected. The RSEI was positively correlated with precipitation, 23.6% of the area passed the significance test (P < 0.05). The local year was influenced by precipitation, and the influence of precipitation was greater in certain years. Overall, the ecological environment quality of the Shimentai Nature Reserve has shown a clear improvement trend, and the protection and management of the bare soil areas on the top of the high mountains, and the areas of frequent human activities in the lower altitudes, should be strengthened in the future.

Abstract In environments characterized by extended multi-stress conditions, pathogens develop a variety of immune escape mechanisms to enhance their ability to infect the host. The capsules, polymers that bacteria secrete near their cell wall, participates in numerous bacterial life processes and plays a crucial role in resisting host immune attacks and adapting to their niche. Here, we discuss the relationship between capsules and bacterial virulence, summarizing the molecular mechanisms of capsular regulation and pathogenesis to provide new insights into the research on the pathogenesis of pathogenic bacteria.

Abstract In a coal mine in the northern region of Shaanxi Province, China, a facing-mining excavating roadway exists, which is intended to be retained for subsequent working face safety services. This paper investigates the deformation and damage characteristics of the surrounding rock in different stages using FLAC 3D numerical simulation, taking the facing-mining excavating roadway of this coal mine as the research context. At 20 m ahead of the working face, a discontinuous plastic zone appears in the surrounding rock of the roadway, a phenomenon attributed to the varying hardness of the lithologyand termed 'plastic zone jumping.' The numerical simulation results have been were verified using drill hole peeping. Real-time monitoring of the roadway's stability is conducted on-site, showing that the roadway is significantly affected by mining at the 50 m point ahead of the working face. Based on the numerical simulation and on-site monitoring results, the support strength was increased at 50 m from the working face along the roadway, and a new support scheme was adopted. In the lagging section of the roadway, where mining pressure is strongly evident, differentiated reinforcement using anchor rods, anchor ropes, and W steel belts has been employed, resulting in a satisfactory on-site effect.

Abstract In order to study the evolutionary law of roof migration on Gob-Side Entry Retaining, this paper takes the gob-side entry retaining in the comprehensive mining face of the Ningtiaota coal mine as the engineering background, and analyzes the evolutionary law of the overlying rock layer on the roof at different locations during the roadway stay and the stress distribution around the roadway through numerical simulation software, which shows that there is a concentration of stress inside the Flexible formwork concrete wall, and therefore the maximum settlement of the roof on the side of Flexible formwork concrete wall is 35.35 mm, due to the existence of “arch-shaped” decompression area from the working face. Therefore, the maximum settlement of the roof slab on the side of flexible formwork concrete wall was 35.35 mm. Due to the existence of “arch-shaped” decompression area on the roof and floor of roadway, the settlement of the roof slab on both sides of the roadway gradually increased when it was from − 20 to 10 m away from the working face, and the central position had the following pattern of firstly decreasing and then gradually increasing, and then exceeding the top of the roadway. After decreasing and then gradually increasing, after 10 m ahead of the working face, the two sides of the roadway roof subsidence law and the central part of the roadway to maintain the same; the use of cutting the top of the flexible mold concrete wall support technology as a means of controlling the top of the roof along the empty roadway subsidence, the analysis shows that the roof after roof cutting of the amount of subsidence have been reduced, the maximum difference in the rate of change of the displacement is 0.011%, and the maximum difference in the amount of subsidence of 4.98 mm; through the field monitoring data analysis of the pressure of mining The peak value of the influence curve of the working face is located at 19 m of the working face, 9 m of the lagging working face and 19 m of the roadway outside the working face are less affected by the additional mining stress field, comparing the fracture brokenness of the roadway roof before and after the roof cutting, the fracture area in the uncut section is much larger than that in the section of the roof cutting.

Objective To investigate the effects of electrochemically dealloying of Ti6Al4V abutments on human gingival fibroblasts (HGFs) and to provide experimental evidence for surface modification of implant abutments. Methods The samples were divided into an NC group (negative control, no other treatment on a smooth surface), an NM-1 group (nanomesh-1, electrochemical dealloying treatment in 1 mol/L NaOH 1 h on 2 V voltage), and an NM-2 group (nanomesh-2, electrochemical dealloying treatment in 5 mol/L NaOH 1 h on 2 V voltage). The surface morphologies of the samples and the adhesion of HGFs on the sample surfaces were observed with scanning electron microscopy (SEM). The surface hydrophilicities of the samples were measured with a contact angle measuring instrument. The proliferation of HGFs on the different samples were evaluated with CCK-8, and the expression of adhesion-related genes, including collagen Ⅰ (COL1A1), collagen Ⅲ (COL3A1), fibronectin 1 (FN1), focal adhesion kinase (FAK), vinculin (VCL), integrin α2 (ITGA2), and integrin β1 (ITGB1), on the different samples was measured with qRT-PCR. The expression of vinculin on the surfaces of HGFs was observed via confocal laser scanning microscopy (CLSM) after immunofluorescent staining. Collagen fiber secretion and syntheses of HGFs from different samples were evaluated via Sirius red staining. Results SEM revealed the formation of ordered and uniform three-dimensional mesh structures on the surfaces of the NM-1 and NM-2 groups, with grid diameters of approximately 30 nm for the NM-1 group and approximately 150 nm for the NM-2 group. Compared with that of the NC group, the water contact angles of the NM-1 group and NM-2 groups were significantly lower (P

Due to the characteristics of low stiffness, low air source pressure, and easy fluid saturation of the pneumatic servo system, the energy dissipation of the system during the working process is large, the system is easily affected by friction, and the compensation effect is not obvious. Especially, the "Flat roof phenomenon" will become stronger when changing the speed direction. It seriously affects the tracking accuracy of the pneumatic servo system. In this paper, the independent metering valve control structure is proposed to eliminate the energy dissipation caused by the coupling of two chambers, so that the air fluid characteristics are within the linear range as far as possible. The nonlinear adaptive robust control method is designed for the uncertainty of some parameters in the friction, external disturbances, and dynamic loads in the pneumatic system. At the same time, the stiffness adjustment and adaptive robust control of the system are coordinated to improve the dynamic performance of the pneumatic position servo system. The simulation and experimental results show that the adaptive robust controller with stiffness adjustment can effectively reduce the energy dissipation of the system, improve the position tracking accuracy of the system, and weaken the "Flat roof phenomenon" caused by friction.

Calcium and iron are essential metal elements for human health, as they play important roles in various metabolic processes such as bone formation and oxygen transport. Their interactions may interfere with each other’s absorption and bioavailability; however, deficiencies of calcium and iron are common nutritional problems that may cause osteoporosis and anemia, respectively. Therefore, understanding the mechanism of the intestinal absorption of calcium and iron and their interactions is crucial for developing effective strategies to prevent or treat these nutritional diseases. Many studies have demonstrated that calcium could inhibit iron absorption on a short-term basis, while long-term calcium supplementation has no effect the overall iron homeostasis, perhaps because the effect of calcium intake on iron absorption is a transient and adaptive response. The molecular mechanisms involved may include modulation of iron transporters by calcium, but more research is needed to elucidate this process. Furthermore, there are few studies on how iron affects calcium absorption. High doses of iron may have a negative effect on calcium absorption and retention; however, the specific effect of iron on calcium absorption is not clear. In this article, the current understanding of the intestinal absorption mechanism of calcium and iron, their interactions during the absorption process, and the underlying molecular mechanisms governing their reciprocal effects on each other’s absorption are summarized, which is of guiding significance for formulating efficient strategies for improving calcium and iron intake and absorption as well as for preventing public health problems caused by nutritional deficiencies.

Abstract Trivalent oral poliovirus vaccine (tOPV) has been withdrawn and instead an inactivated poliovirus vaccine (IPV) and bivalent type 1 and type 3 OPV (bOPV) sequential immunization schedule has been implemented since 2016, but no immune persistence data are available for this polio vaccination strategy. This study aimed to assess immune persistence following different polio sequential immunization schedules. Venous blood was collected at 24, 36, and 48 months of age from participants who had completed sequential schedules of combined IPV and OPV in phase III clinical trials. The serum neutralizing antibody titers against poliovirus were determined, and the poliovirus-specific antibody-positive rates were evaluated. A total of 1104 participants were enrolled in this study. The positive rates of poliovirus type 1- and type 3-specific antibodies among the sequential immunization groups showed no significant difference at 24, 36, or 48 months of age. The positive rates of poliovirus type 2-specific antibody in the IPV-IPV-tOPV group at all time points were nearly 100%, which was significantly higher than the corresponding rates in other immunization groups (IPV-bOPV-bOPV and IPV-IPV-bOPV). Immunization schedules involving one or two doses of IPV followed by bOPV failed to maintain a high positive rate for poliovirus type 2-specific antibody.

The spatial structure of tourist flow represents the tourists' flow pattern, shows the difference of tourism resources, and provides the basis for the balance and sustainable development of tourism. Based on the digital footprint data obtained from the online travel notes on Qunar.com, this article describes and analyzes the spatial structure of tourism flow in Sanya City using the research methods of flow statistics, association rule mining, and social network analysis under the framework of anchor theory; further, it condenses the characteristics of different types of tourists at different time scales. The key findings include: (1) The spatial structure of Sanya's tourism flow is affected by the popularity of scenic spots, showing a flow pattern of "one core and two cores" and several core paths; the core area is located along the coastline, showing the characteristics of coastal tourism city. (2) In the spatial structure of Sanya's tourist flow, the distribution of core nodes is uneven, and the phenomenon of structural holes is obvious, showing the spatial pattern of uneven distribution of scenic spots and fierce competition among scenic spots. (3) In the structure network of Sanya's tourist flow, most tourists are medium-scale travelers, followed by small-scale travelers and large-scale travelers. (4) The tourist attraction system of Sanya's tourist flow is hierarchically distributed and has multiple anchor attractions. Different anchor attractions have different attractions to tourists of different types and time, except for beach tourist destinations and island areas. Therefore, targeted marketing for different types of tourists is a challenge for the future development of Sanya's tourism. In this article, the anchor point theory is introduced into the study of tourism flow. Based on the flow direction statistics, association rule mining and field investigation, the rules of the anchor point selection of tourism flow are established, verified, and supplemented by the social network analysis method. Theoretical support and quantitative data support complement each other. The application of anchor theory and association rule mining not only enriches the theoretical framework in the field of tourism flow, but it also scientifically determines the anchor points of the tourism flow's structure network. This is helpful to understand tourist behavior and mode, and it can provide targeted suggestions for the precision marketing of tropical coastal tourist cities.

ABSTRACTObjectives The objective was to utilize a smartwatch sphygmomanometer to predict new-onset hypertension within a short-term follow-up among individuals with high-normal blood pressure (HNBP).Methods This study consisted of 3180 participants in the training set and 1000 participants in the validation set. Participants underwent both ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM) using a smartwatch sphygmomanometer. Multivariable Cox regressions were used to analyze cumulative events. A nomogram was constructed to predict new-onset hypertension. Discrimination and calibration were assessed using the C-index and calibration curve, respectively.Results Among the 3180 individuals with HNBP in the training set, 693 (21.8%) developed new-onset hypertension within a 6-month period. The nomogram for predicting new-onset hypertension had a C-index of 0.854 (95% CI, 0.843–0.867). The calibration curve demonstrated good agreement between the nomogram’s predicted probabilities and actual observations for short-term new-onset hypertension. In the validate dataset, during the 6-month follow-up, the nomogram had a good C-index of 0.917 (95% CI, 0.904–0.930) and a good calibration curve. As the score increased, the risk of new-onset hypertension significantly increased, with an HR of 8.415 (95% CI: 5.153–13.744, p = .000) for the middle-score vs. low-score groups and 86.824 (95% CI: 55.071–136.885, p = .000) for the high-score vs. low-score group.Conclusions This study provides evidence for the use of smartwatch sphygmomanometer to monitor blood pressure in individuals at high risk of developing new-onset hypertension in the near future.Trial registration ChiCTR2200057354

The formation of intelligent platforms is a multi-objective constraint problem. It is necessary for the multi-agent to automatically generate the path from the initial position to the specified end point, and at the same time meet the constraints of space collision avoidance on the multi-target intersection path and the constraint of the agent’s motion ability, and pursue the shortest formation time of the whole formation as much as possible. In this paper, we propose an improved method for obtaining the starting set of multi-agent formation based on particle swarm optimization. First, the starting point set of the formation is defined, and then the particle swarm optimization algorithm is selected as the optimization algorithm to find the best starting point of the formation. Then the turning performance of the intelligent platform is studied, and the assembly route of each agent is designed by combining the Dubins curve. The simulation results show that the proposed method avoids collision between agents, shortens the time of agent formation assembly, and effectively ensures the reliability of the assembly route.

In relativistic heavy-ion collisions, a hot and dense state of matter, called the Quark-Gluon Plasma (QGP), is produced. Semi-inclusive jets recoiling from trigger hadrons of high transverse momenta (pT) can serve as an effective probe of the QGP properties, as they are expected to experience jet quenching when traversing the QGP. Recent experimental results on the ratio of recoil jet yields normalized by the trigger counts in heavy-ion collisions to that in p+p collisions (IAA) pose an unexpected challenge in its interpretation. It is observed that IAA rises with the jet pT and possibly exceeds unity at high pT, while traditionally it is expected that jet quenching would lead to IAA

Canine distemper virus (CDV) is a highly contagious and potentially lethal virus that affects dogs and other members of the Canidae family, including wolves, foxes, and coyotes. Here, we present a fluorescent lateral flow immunoassay (FLFA) platform for the detection of CDV, which utilizes fluorescent microspheres - fusion protein monoclonal antibody (mAb)-labeled monoclonal antibody. The assay detected CDV within 5 min, with a detection limit threshold of 3 × 102 TCID50/mL. Notably, the assay demonstrated no cross-reactivity with canine parvovirus, canine coronavirus, canine adenovirus, feline calicivirus, feline herpesvirus, or feline parvovirus. Field and clinical applicability of the assay was evaluated using 63 field samples, including 30 canine fecal samples, 18 swab samples, and 15 blood samples. The coincidence rate between the detection results of clinical samples obtained through FLFA and reverse transcription polymerase chain reaction (RT-PCR) was 96.83%. Thus, this assay offers a significant advancement for the rapid diagnosis of CDV at the point of care.

Introduction: Protective associations of greenspace with Parkinson’s disease (PD) have been observed in some studies. Visual exposure to greenspace seems to be important for some of the proposed pathways underlying these associations. However, most studies use overhead-view measures (e.g., satellite imagery, land-classification data) that do not capture street-view greenspace and cannot distinguish between specific greenspace types. We aimed to evaluate associations of street-view greenspace measures with hospitalizations with a PD diagnosis code (PD-involved hospitalization). Methods: We created an open cohort of about 45.6 million Medicare fee-for-service beneficiaries aged 65 + years living in core based statistical areas (i.e. non-rural areas) in the contiguous US (2007–2016). We obtained 350 million Google Street View images across the US and applied deep learning algorithms to identify percentages of specific greenspace features in each image, including trees, grass, and other green features (i.e., plants, flowers, fields). We assessed yearly average street-view greenspace features for each ZIP code. A Cox-equivalent re-parameterized Poisson model adjusted for potential confounders (i.e. age, race/ethnicity, socioeconomic status) was used to evaluate associations with first PD-involved hospitalization. Results: There were 506,899 first PD-involved hospitalizations over 254,917,192 person-years of follow-up. We found a hazard ratio (95% confidence interval) of 0.96 (0.95, 0.96) per interquartile range (IQR) increase for trees and a HR of 0.97 (0.96, 0.97) per IQR increase for other green features. In contrast, we found a HR of 1.06 (1.04, 1.07) per IQR increase for grass. Associations of trees were generally stronger for low-income (i.e. Medicaid eligible) individuals, Black individuals, and in areas with a lower median household income and a higher population density. Conclusion: Increasing exposure to trees and other green features may reduce PD-involved hospitalizations, while increasing exposure to grass may increase hospitalizations. The protective associations may be stronger for marginalized individuals and individuals living in densely populated areas.

This article presents an optimization-based approach to overcome redundancy arising from the multivariables enumeration process in multiple signal classification (MUSIC). By incorporating Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization, the computational speed of the MUSIC algorithm is significantly improved while maintaining mathematical accuracy. The optimization techniques require reasonable initial values to start the iteration, while for single target imaging purposes, the initial values can be acquired by the boundary between the near field and the far field. To generate suitable initial values for the optimization, we employ a modified convolutional neural network (CNN) to approximate the boundaries between the near and far fields, which vary with array system properties. Besides, the proposed method introduces a method for the Hessian matrix and gradient initialization for the BFGS method. Using simulation results as training samples, the modified CNN successfully establishes boundary approximations. Simulation and experimentation confirm the feasibility of our proposed method, showing its advantages in both accuracy and computation speed compared to existing techniques.

Frozen dough is a good carrier for whole wheat food, which simplifies production operations, reduces processing difficulties, and steps up the industrial production of whole wheat food. This paper reviewed the effects of dietary fiber on the quality of dough and frozen dough, the changes of fermentation characteristics and Rheology characteristics of whole wheat frozen dough in the process of freezing and cold storage, and the research on the quality improvement of whole wheat frozen dough by food improvers. By analyzing the deterioration reasons of gluten protein, starch, fermentation properties, Rheology properties, etc. in the whole wheat frozen dough during freezing and cold storage, the theoretical basis and practical reference for improving the quality of whole wheat frozen dough were provided.

Objective： This study aimed to investigate the active ingredients, and their antioxidant and anti-inflammatory activities, as well as the correlation between each other of different food water extracts. Methods： Black rice, black soybean, black sesame, Auricularia auricula, diospyros lotus, black corn, oat and millet were selected for the comparison study of the content of total flavonoids and polyphenols in the aqueous extract, and then the 1-diphenyl-2-picrylhydrazyl (DPPH) scavenging activity, hydroxyl radical scavenging ability and iron ion reduction capacity were determined to evaluate their antioxidant activity. Furthermore, the NO and IL-6 inhibitory activities on Lipopolysaccharides (LPS) induced RAW264.7 cells were tested to investigate the anti-inflammatory activities. Results： The antioxidant and anti-inflammatory activities were positively correlated with the contents of total flavonoids and polyphenols, and the two activities were also positively correlated. Among them, diospyros lotus showed the highest content of total flavonoids and polyphenols with 1.716 mg/g and 3.043 mg/g respectively, and the radical clearance capacity of DPPH was 89.48% at 1 mg/mL which was significantly higher than the others. It also showed anti-inflammatory activity with 65.92% and 78.62% inhibitory rates against NO and IL-6 at 5 mg/mL on LPS induced RAW264.7 cells. Meanwhile, black rice had a strong DPPH scavenging ability and iron ion reducing ability, and it also showed strong inhibitory activities against NO and IL-6. Millet, a non-black food, showed obvious advantages in hydroxyl free radical scavenging activity and anti-inflammatory effect compared with black corn and A. auricula. Conclusion： Water extracts from eight kinds of food had varying degrees of antioxidant and anti-inflammatory activities which were positively correlated with the contents of total flavonoids and polyphenols. Among them, diospyros lotus had the highest content of total flavonoids and polyphenols with the strongest antioxidant and anti-inflammatory activities. Therefore, it is necessary to carry out more in-depth application research on diospyros lotus.

Abstract Purpose To evaluate the radiographic diagnostic criteria and propose standardised radiographic criteria for Lisfranc injuries. Methods A systematic review of the PubMed and Embase databases was performed according to the PRISMA guidelines. The various radiographic criteria for the diagnosis of Lisfranc injuries were extracted. Descriptive statistics were presented for all continuous (as mean ± standard deviation) and categorical variables (as frequencies by percentages). Results The literature search included 29 studies that totalled 1115 Lisfranc injuries. The risk of bias ranged from “Low” to “Moderate” risk according to the ROBINS-I tool. The overall recommendations according to the GRADE assessment ranged from “Very Low” to “High”. 1st metatarsal to 2nd metatarsal diastasis was the most common of the 12 various radiographic diagnostic criteria observed, as was employed in 18 studies. This was followed by 2nd cuneiform to 2nd metatarsal subluxation, as was employed in 11 studies. Conclusion The radiographic diagnostic criteria of Lisfranc injuries were heterogeneous. The proposition for homogenous radiographic diagnostic criteria is that the following features must be observed for the diagnosis of Lisfranc injuries: 1st metatarsal to 2nd metatarsal diastasis of ≥ 2 mm on anteroposterior view or 2nd cuneiform to 2nd metatarsal subluxation on anteroposterior or oblique views. Further advanced imaging by CT or MRI may be required in patients with normal radiographs but with continued suspicion for Lisfranc injuries. Level of evidence 4, systematic review.

Objective To investigate the changes of neural function and its correlation with cognitive function and emotion in patients with neuropsychiatric systemic lupus erythematosus (NPSLE). Methods A total of 46 patients with systemic lupus erythematosus (SLE) admitted to The Affiliated Taizhou People's Hospital of Nanjing Medical University from June 2020 to September 2022 were included. The patients were divided into the NPSLE group (n = 26) and the non⁃NPSLE group (n = 20) based on the presenceor absence of neuropsychiatric symptoms. The mean regional homogeneity (mReHo) and mean fractional amplitude of low⁃frequency fluctuation (mfALFF) were calculated by resting⁃state fMRI (rs⁃fMRI). The Mini⁃Mental State Examination (MMSE) was used to evaluate overall cognitive function, the Fatigue Scale for Motor and Cognitive Functions (FSMC) was used to assess both motor and cognitive fatigue, and the Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety and depression mood. Pearson correlation analysis and partial correlation analysis were conducted to explore the correlation of mReHo and mfALFF values in various brain regions with neuropsychologcial tests. Results The MMSE scores in NPSLE group was lower than non⁃NPSLE group (Z = ⁃ 3.934, P = 0.000). Additionally, the FSMC⁃ Motor (t = 2.016, P = 0.050), FSMC⁃Cognition (t = 2.055, P = 0.046), HADS⁃Anxiety (Z = ⁃ 2.424, P = 0.015) and HADS⁃Depression (Z = ⁃ 2.731, P = 0.006) scores in NPSLE group were higher than those in non⁃NPSLE group. The mReHo values of the right dorsolateral superior frontal gyrus, right middle occipital gyrus, right posterior central gyrus, right inferior parietal margin angular gyrus and right inferior temporal gyrus decreased, while mfALFF values of the right middle occipital gyrus and right posterior central gyrus decreased in the NPSLE group (false discovery rate correction; voxel level P < 0.001, cluster P < 0.05). The mReHo and mfALFF in the right postcentral gyrus were both negatively correlated with HADS⁃Depression (r = ⁃ 0.483, P = 0.017; r = ⁃ 0.504, P = 0.012). The mReHo in the right inferior parietal gyrus was negatively correlated with FSMC ⁃Motor (r = ⁃ 0.475, P = 0.019) and FSMC ⁃Cognition (r = ⁃ 0.414, P = 0.044). The mReHo in the right inferior temporal gyrus was negatively correlated with FSMC⁃Cognition (r = ⁃ 0.427, P = 0.037). Conclusions NPSLE patients exhibited abnormal local activity in brain regions, and neural function is closely related to neuropsychological test.

In order to better perform thermal hydraulic calculation and analysis of supercritical water reactor, based on the experimental data of supercritical water, the model training and predictive analysis of the heat transfer coefficient of supercritical water were carried out by using the support vector machine (SVM) algorithm. The changes in the prediction accuracy of the supercritical water heat transfer coefficient are analyzed by the changes of the regularization penalty parameter C, the slack variable epsilon and the Gaussian kernel function parameter gamma. The predicted value of the SVM model obtained after parameter optimization and the actual experimental test data are analyzed for data verification. The research results show that: the normalization of the data has a great influence on the prediction results. The slack variable has a relatively small influence on the accuracy change range of the predicted heat transfer coefficient. The change of gamma has the greatest impact on the accuracy of the heat transfer coefficient. Compared with the calculation results of traditional empirical formula methods, the trained algorithm model using SVM has smaller average error and standard deviations. Using the SVM trained algorithm model, the heat transfer coefficient of supercritical water can be effectively predicted and analyzed.

To evaluate the effects of varying proportions of yak meat in feed on the growth of rats and provide a theoretical basis for selecting the optimal feed proportion suitable for rats. This study was designed as a one-variable experiment. Fifty male rats were divided into five groups. The ratios of yak meat to basal feed of rats in four dietary treatment groups were 2:8, 4:6, 6:4, and 8:2, respectively, while those in the control group were only provided a basal diet. In the feeding experiment, the body weights of the rats were recorded on Day 0 and subsequently in the first, second, third, and fourth weeks, along with quantities of feed intake. The body and tail lengths, as well as the waist circumference of the rats, were measured, and blood samples were collected in the fourth week for routine blood and biochemistry investigations. The rats in the 4:6 feed group had the best body condition. They had normal body and tail lengths, smaller waist circumferences, good posture, and were in better overall health than rats in the other groups. The results indicate that the 4:6 diet was optimal for enhancing rats’ growth performance compared to the other diets.

The tumor microenvironment is a complex ecosystem where various cellular and molecular interactions shape the course of cancer progression. Macrophage colony-stimulating factor (M-CSF) plays a pivotal role in this context. This study delves into the biological properties and functions of M-CSF in regulating tumor-associated macrophages (TAMs) and its role in modulating host immune responses. Through the specific binding to its receptor colony-stimulating factor 1 receptor (CSF-1R), M-CSF orchestrates a cascade of downstream signaling pathways to modulate macrophage activation, polarization, and proliferation. Furthermore, M-CSF extends its influence to other immune cell populations, including dendritic cells. Notably, the heightened expression of M-CSF within the tumor microenvironment is often associated with dismal patient prognoses. Therefore, a comprehensive investigation into the roles of M-CSF in tumor growth advances our comprehension of tumor development mechanisms and unveils promising novel strategies and approaches for cancer treatment.

Abstract Background For adults with inflammatory bowel disease (IBD), they experience many challenges in dietary decision‐making. Thus, this study examined the perspective and experiences of adults with IBD in dietary decision‐making. Objective This study aimed to explore the perception and consideration of people with IBD in their daily dietary decisions through monitoring, interpretation and action during the decision‐making process. Design A qualitative study of individuals affected by IBD was conducted through semistructured interviews. Results Twenty patients were recruited from four tertiary hospitals in Nanjing, China, and each participant completed a semistructured interview. The majority of participants reported on the process and experience of dietary decision‐making. Key themes were categorised into three stages: (1) assessing needs, preferences and food cues (monitor); (2) moving from experience to expertise (interpret) and (3) balancing expectations amidst limitations (act). The majority of participants reported that their decisions were shaped by assessing current disease status and food cues. Those interviewed with IBD were willing to make tradeoffs for bowel stability, but their decisions were also influenced by past dietary experiences and traditional Chinese beliefs. The lack of awareness of dietary guidelines was a significant barrier to healthy eating decisions. Positive or negative feelings accompanied dietary decisions. Conclusion Although most people with IBD change their diet after diagnosis, the changes made are often inconsistent with existing dietary recommendations. Several factors can influence the dietary decision‐making process. This study will help assess the experiences of people with IBD in dietary decision‐making to encourage the formation of targeted dietary health and well‐being interventions. Knowledge of nutrition and diet should be provided in education and training programmes for IBD management. Patient or Public Contribution The first three authors of this paper were the lead researchers in this study's design. These authors were mentored by patient researchers who also contributed to the manuscript, and the research process was co‐lead and directed by other patient participants and consultants. The results of this paper were directly obtained from patient participants.

Small-cell lung cancer (SCLC) has a poor prognosis and can be diagnosed with systemic metastases. Nevertheless, the molecular mechanisms underlying the development of SCLC are unclear, requiring further investigation. The current research aims to identify relevant biomarkers and available drugs to treat SCLC. The bioinformatics analysis comprised three Gene Expression Omnibus datasets (including GSE2149507, GSE6044, and GSE30219). Using the limma R package, we discovered differentially expressed genes (DEGs) in the current work. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were made by adopting the DAVID website. The DEG protein–protein interaction network was built based on the Search Tool for the Retrieval of Interacting Genes/Proteins website and visualized using the CytoHubba plugin in Cytoscape, aiming to screen the top ten hub genes. Quantitative real-time polymerase chain reaction was adopted for verifying the level of the top ten hub genes. Finally, the potential drugs were screened and identified using the QuartataWeb database. Totally 195 upregulated and 167 downregulated DEGs were determined. The ten hub genes were NCAPG, BUB1B, TOP2A, CCNA2, NUSAP1, UBE2C, AURKB, RRM2, CDK1, and KIF11. Ten FDA-approved drugs were screened. Finally, two genes and related drugs screened could be the prospective drug targets for SCLC treatment.

Objective To summarize and analyze the clinical and electrophysiological characteristics of hereditary neuropathy with liability to pressure palsies (HNPP). Methods and Results Three patients with HNPP confirmed by gene test who were admitted to Beijing Hospital from January 2014 to December 2020 were retrospectively analyzed. All 3 patients were male. Age of onset/diagnosis (duration ending up to December 2020) were 13/25, 57/57 and 20/71 years old, respectively. All of them had heterozygous deletion mutation of the PMP22 gene. All 3 patients initially presented with common peroneal nerve palsy and were able to achieve complete recovery at the early stage. Electrophysiological changes were characterized by conduction block at entrapment sites, reduction in both sensory and motor conduction velocity, and decreased amplitude of sensory nerve action potentials, prolonged distal latency, which were affected more widely than clinically involved. At the late stage, the symptoms might not fully recover after the attack. Conclusions At the early stage of HNPP, the electrophysiological abnormalities exceed the range that was clinically involved. This feature might be helpful for early diagnosis. Detection of peripheral nerve conduction blocks at entrapment sites can assist in differential diagnosis with Guillan‑ Barré syndrome (GBS), multifocal motor neuropathy (MMN), multifocal acquired demyelinating sensory and motor neuropathy (MADSAM) and Charcot‑Marie‑Tooth disease type 1A (CMT1A).

Abstract The corrosive anions (e.g., Cl−) have been recognized as the origins to cause severe corrosion of anode during seawater electrolysis, while in experiments it is found that natural seawater (~0.41 M Cl−) is usually more corrosive than simulated seawater (~0.5 M Cl−). Here we elucidate that besides Cl−, Br− in seawater is even more harmful to Ni-based anodes because of the inferior corrosion resistance and faster corrosion kinetics in bromide than in chloride. Experimental and simulated results reveal that Cl− corrodes locally to form narrow-deep pits while Br− etches extensively to generate shallow-wide pits, which can be attributed to the fast diffusion kinetics of Cl− and the lower reaction energy of Br− in the passivation layer. Additionally, for the Ni-based electrodes with catalysts (e.g., NiFe-LDH) loading on the surface, Br− causes extensive spalling of the catalyst layer, resulting in rapid performance degradation. This work clearly points out that, in addition to anti-Cl− corrosion, designing anti-Br− corrosion anodes is even more crucial for future application of seawater electrolysis.

Alternaria alternata (A.alternata) is a major pathogenic fungus that causes black mold disease in pears, goji berries, and other crops. In this study, we investigated the inactivation mechanism and kinetics of A.alternata by using contact glow discharge plasma (CGDP). First, the optimal sterilization process and conditions were determined by examining the effects of exposure time, electrolytes, and voltage on the fungicidal rate. Second, the sterilization mechanism of A.alternata by CGDP was studied by evaluating cell membrane integrity and leakage of spore nucleic acids and proteins, and an inactivation kinetic model was constructed. These results showed that CGDP had a significant sterilization effect on A.alternata.. The sterilization rate increased with increasing voltage and treatment duration. Leakage of spore nucleic acids and proteins gradually increased with increasing treatment time. Propidium iodide and Fluorescein diacetate staining, as well as scanning electron microscopy indicated that the effect of CGDP on A.alternata was due to the disruption of its morphology and cell membrane integrity. Spore inactivation kinetics were consistent with dose-response modeling, and the results provide an important theoretical basis for further studies on the bactericidal mechanism of A.alternata.

Objective To summarize the features of 99mTc-methylene diphosphonate (MDP) whole-body bone scintigraphy (WBBS) in Erdheim-Chester disease (ECD) patients and to provide insights for clinical diagnosis and treatment. Methods Retrospective analysis was performed in ECD patients with bone lesion who underwent 99mTc-MDP WBBS at Peking Union Medical College Hospital from January 2015 to December 2022.The bone involvement sites and characteristic features in99mTc-MDP WBBS were summarized, and the correlation between bone lesion scores and bone metabolic biomarkers was analyzed. Results A total of 44ECD patients with bone involvement were included in the study.According to the 99mTc-MDP WBBS, the most commonly affected sites were the bones of the extremities (100%, 44/44), skull and maxillofacial bones (84.1%, 37/44), and appendicular bones (65.9%, 29/44), while involvement of the ribs and sternum (38.6%, 17/44) and spine (29.5%, 13/44) were less frequent.Bilateral and symmetric change of the lesions was an important feature of 99mTc-MDP WBBS in ECD.The proportion of patients with bilateral and symmetric bone lesions in the extremities, maxillofacial area, and clavicle was relatively high, particularly in the lower extremities (100%).In extremity bone lesions, there was mostly joint involvement of diaphysis and metaphysis, and 81.8%(36/44) patients demonstrated the typical scintigraphic characteristic: bilateral and symmetrical increased uptake in the distal femur and proximal tibia.The maxillofacial lesions mainly presented with focal uptake increase in the region of the paranasal sinuses, with or without diffuse increased uptake in the mandible-Lincoln sign (61.1%, 22/36).Spearman correlation analysis revealed that the bone metabolic biomarkers such as blood calcium, blood phosphate, alkaline phosphatase, and parathyroid hormone were not linearly correlated with bone lesion scores (all P>0.05). Conclusions ECD can cause multiple bone lesions, with involvement typically observed in the extremities, particularly in the lower extremities.Lesions in the skull and maxillofacial area are also frequently observed.Bilateral and symmetric uptake increase in the distal femur and proximal tibia is the most pathognomonic manifestation of 99mTc-MDP WBBS, providing valuable information for diagnosing and differentiating ECD.

In this paper, the high temperature oxidation behavior of superalloys prepared by the electron beam smelting (EBS) and vacuum induction melting (VIM) at 900 °C and 1000 °C is investigated. Experimental results indicate that EBS alloys show better oxidation resistance and oxide layer integrity. The relationship between the growth rates of Al2O3 and Ta2O5 and the oxygen partial pressure at the oxide/substrate interface is explained by the growth model of n-type semiconductor oxides. Lower oxygen partial pressure can be achieved at the oxide/substrate interface due to the higher purity of the EBS alloys. This effectively slows down the growth rate of the n-type semiconductor oxides such as Al2O3 and Ta2O5 and the thickening rates of the other n-type oxides, which ultimately leads to better oxidation resistance.