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Tablet-mediated interventions have shown promise in improving the mathematical skills of individuals with autism spectrum disorder (ASD) and/or intellectual disability (ID). This meta-analysis aims to provide a quantitative synthesis of single-case experimental studies of using tablet-mediated interventions to teach mathematics to individuals with ASD and/or ID. Twenty-seven published studies between 2012 and 2022 were included. The Tau-U effect size index was used to gauge the overall effect size of tablet-mediated interventions. The obtained effect size (Tau-U = 0.98, 95% CI 0.92-1.00) indicated large improvements in mathematics performance after using tablet-mediated interventions. The analysis of potential moderating variables, including participant characteristics, intervention components, and target mathematical skills found no statistically significant moderators. Implications for researchers and practitioners who use tablet-mediated interventions to teach mathematics to individuals with ASD and/or ID are also discussed.

Abstract We study a non-universal flavor scenario at the level of the Standard Model Effective Field Theory, according to which the matrix of Wilson coefficients c uW of an up-type electroweak quark dipole operator is aligned with the up-type Yukawa coupling. Such an alignment usually follows from the assumption of Minimal Flavor Violation (MFV), away from which we step by allowing the entries of c uW to be sizable along the first quark generations. A particular example, which we refer to as “inverse hierarchy MFV”, features Wilson coefficients inversely proportional to quark masses, and arises from BSM models respecting MFV and containing heavy fields that replicate the mass hierarchy of SM quarks. We then analyze the phenomenology driven by c uW at colliders and at lower-energy flavor experiments. We show that precision measurements of the process pp → Wh → γγℓν at FCC-hh could set an upper bound on |c uW | ≲ O $$ \mathcal{O} $$ (10 −2)(Λ/TeV)2, with Λ the cutoff of the effective field theory. This bound is an order of magnitude stronger than the existing LHC bounds. Moreover, we estimate that Wh → b b ¯ ℓ ν $$ b\overline{b}\ell \nu $$ at HL-LHC could also give competitive bounds. In the low-energy regime, we consider bounds arising from rare kaon decays, which turn out to be loose, | c uW 11 $$ {c}_{uW}^{11} $$ | < O $$ \mathcal{O} $$ (1)(Λ/TeV)2. We finally demonstrate that our flavor and operator assumptions can be derived from a weakly-coupled UV model, which we choose to simultaneously illustrate the UV origin of inverse hierarchy MFV.

Abstract Determining the optimal timing for subsequent water flooding in Alkali-Surfactant-Polymer (ASP) flooding is essential to maximizing both the technical and economic outcomes of oilfield blocks. This study identified eight critical parameters that influence the benefits of ASP flooding and established parameter ranges based on data from completed blocks and actual field measurements. The optimal timing for subsequent water flooding was determined by evaluating cumulative net profit variations throughout the ASP flooding lifecycle. Given the complexity and high-dimensional nature of evaluating multiple parameters across diverse blocks, a machine learning-driven optimization model was developed. This model enhances work efficiency by automating complex analyses. However, predictive uncertainties and limitations remain due to the variability in oilfield development and the potential for unpredictable changes in reservoir conditions, external market factors and so on, which may affect the model’s results. The model was applied to six blocks in the Daqing oilfield currently in the chemical flooding phase, where injection schemes, such as extending the polymer slug, were adjusted according to the model’s optimized results. These adjustments yielded an increase in cumulative net profit of 224.9 million CNY compared to the original scheme, with a potential total increase of 752.1 million CNY by the end of the flooding process.

Abstract In the control of unipolar sinusoidal excited switched reluctance motors (SRMs), deadbeat predictive current controllers (DPCCs) have gained attention for their enhanced dynamic performance. However, periodic disturbances caused by mismatches between the predictive model’s nominal and actual system parameters degrade the control performance of SRMs. To address this issue, a robust DPCC with multi-parameter compensation is proposed to improve dq0-axes current control performance. By analyzing the impact of parameter mismatches, a Kalman filter (KF) is developed to compensate for inductance coefficient mismatches, mitigating periodic disturbances. Additionally, a disturbance estimator with measurement noise suppression is integrated into the DPCC for both state and disturbance estimation to handle residual uncertainties, including winding resistance mismatches, magnetic saturation, and unmodeled dynamics. Compared simulation and experimental results validate the effectiveness of the proposed robust DPCC.

Abstract Background Sarcopenia and osteoarthritis are prevalent age-related diseases that mutually exacerbate each other, creating a vicious cycle that worsens both conditions. Exercise is key to breaking this detrimental cycle. Facing increasing demand for rehabilitation services within this patient demographic, ChatGPT-4 and wearable device may increase the availability, efficiency and personalization of such health care. Aim To evaluate the clinical efficacy and cost-effectiveness of a rehabilitation system implemented on mobile platforms, utilizing the integration of ChatGPT-4 and wearable devices. Methods The study design is a prospective randomized open blinded end-point (PROBE) non-inferiority trial. 278 patients diagnosed with osteoarthritis and sarcopenia will be recruited and randomly assigned to the intervention group and the control group. In the intervention group patients receive mobile phone-based rehabilitation service where ChatGPT-4 generates personalized exercise therapy, and wearable device guides and monitor the patient to implement the exercise therapy. Traditional clinic based face-to-face exercise therapy will be prescribed and implemented in the control group. All patients will receive three-months exercise therapies following the frequency, intensity, type, time, volume and progression (FITT-VP) principle. The patients will be assessed at baseline, one month, three months, and six months after initiation. Outcome measures will include ROM, gait patterns, Visual Analogue Scale (VAS) for pain assessment, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Knee Injury and Osteoarthritis Outcome Score (KOOS) for functional assessment, Short-Form Health Survey 12 (SF-12) for quality of life, Minimal Clinically Important Difference (MCID), Patient Acceptable Symptom State (PASS), and Substantial Clinical Benefit (SCB) for clinically significant measures. Discussion A rehabilitation system combining the capabilities of ChatGPT-4 and wearable devices potentially enhance the availability and efficiency of professional rehabilitation services, thus enhancing the therapeutic outcomes for a substantial population concurrently afflicted with sarcopenia and osteoarthritis.

Background: To evaluate the effectiveness and safety of the Shenfu injection (SFI) combined with standard bundle treatment in septic patients with hypoperfusion. Method: This study was a multi-center, randomized, open-label, controlled trial conducted in four teaching hospitals in China. The septic patients with hypoperfusion and traditional Chinese medicine (TCM) syndrome with Yang-Qi deficiency were enrolled from January 2019, through September 2020. Eligible patients were randomly allocated in a 1:1 ratio to either receive 60 mL of SFI infusion per day plus standard treatment (SFI group) or standard bundle treatment alone (control group). The primary outcome was 28-day all-cause mortality. Secondary outcomes were 90-day all-cause mortality time to weaning from mechanical ventilation, time to weaning from vasopressors, time to discharge from the ICU and hospital, and laboratory results after randomization. Results: A total of 188 patients completed the trail. This study revealed that the results of the SFI group and the control groups were not statistically significant in 28-day all-cause mortality (10.6% vs. 20.2%, respectively; P=0.106). The infusion of SFI was associated with a significant reduction in the duration of vasopressor use (median=4.0 days, interquartile range [IQR]: 2.0 days–6.0 days vs. median=5.0 days, IQR: 3.0 days–8.0 days, respectively; P=0.043). Patients in the SFI group had statistically greater reductions in plasma lactate levels compared with those in the control group at the first 12 h (median=1.1 mmol/L, IQR: 0.3–2.0 mmol/L vs. median=0.0 mmol/L, IQR: −0.2 to 0.8 mmol/L, respectively; P

Measurement concepts are an essential foundation for more advanced mathematical concepts. To address the challenges of students with autism spectrum disorder (ASD) in learning measurement concepts, this study investigated the effects of using a combination of explicit instruction and virtual manipulatives (VMs) to teach measurement concepts to students with ASD in China. Using a single-case multiple-probe across skills design, researchers examined whether the intervention could support the acquisition and maintenance of measurement concepts in students with ASD. Based on visual analysis, a functional relation was found between the independent variable (i.e., explicit instruction with VMs) and student performance on solving measurement concepts problems. Implications for practice and research are discussed.

Abstract Brain injury is the leading cause of mortality among patients who survive cardiac arrest (CA). Clinical studies have shown that the presence of post-CA hypoxic hepatitis or pre-CA liver disease is associated with increased mortality and inferior neurological recovery. In our in vivo global cerebral ischemia model, we observed a larger infarct area, elevated tissue injury scores, and increased intravascular CD45+ cell adhesion in reperfused brains with simultaneous hepatic ischemia than in those without it. In the ex vivo brain normothermic machine perfusion (NMP) model, we demonstrated that addition of a functioning liver to the brain NMP circuit significantly reduced post-CA brain injury, increased neuronal viability, and improved electrocortical activity. Furthermore, significant alterations were observed in both the transcriptome and metabolome in the presence or absence of hepatic ischemia. Our study highlights the crucial role of the liver in the pathogenesis of post-CA brain injury.

Abstract Ag2Se shows significant potential for near-room-temperature thermoelectric applications, but its performance and device design are still evolving. In this work, we design a novel flexible Ag2Se thin-film-based thermoelectric device with optimized electrode materials and structure, achieving a high output power density of over 65 W m−2 and a normalized power density up to 3.68 μW cm−2 K−2 at a temperature difference of 42 K. By fine-tuning vapor selenization time, we strengthen the (013) orientation and carrier mobility of Ag2Se films, reducing excessive Ag interstitials and achieving a power factor of over 29 μW cm−1 K−2 at 393 K. A protective layer boosts flexibility of the thin film, retaining 90% performance after 1000 bends at 60°. Coupled with p-type Sb2Te3 thin films and rational simulations, the device shows rapid human motion response and precise servo motor control, highlighting the potential of high-performance Ag2Se thin films in advanced applications.

Abstract Combination of immunotherapy with radiotherapy is under active investigation. The PACIFIC trial firmly established the treatment paradigm of consolidation immunotherapy following definitive chemoradiotherapy, inspiring a series of similar or exploratory combination regimens. This summary highlighted six reports updated in the 2024 ASCO Annual Meeting.

Objective To establish breast cancer organoids for a long time and to characterize their molecular expression and test their sensitivity to chemotherapy drugs. Methods Breast cancer specimens were digested with collagenase to release cancer cells for organoid culture. The organoids were characterized by morphology and ER,PR,HER-2,CK expression by technology of histoimmunofluorescence. Among them, three were tested for paclitaxel, doxorubicin and cisplatin sensitivity. Results A total of 44 cases of breast cancer organoids were established, all of which showed dense spherical-like growth and ER,PR,HER-2,CK, matching their clinical counterpart. Breast cancer organoids were sensitive to chemotherapy drugs paclitaxel, doxorubicin and cisplatin. Conclusions Organoid model, as a new in vitro may reproduce the pathophysiology features with heterogeneity.

Abstract Significant research progress has been made in the field of protein structure and fitness prediction. Particularly, single-sequence-based structure prediction methods like ESMFold and OmegaFold achieve a balance between inference speed and prediction accuracy, showing promise for many downstream prediction tasks. Here, we propose SPIRED, a single-sequence-based structure prediction model that exhibits comparable performance to the state-of-the-art methods but with approximately 5-fold acceleration in inference and at least one order of magnitude reduction in training consumption. By integrating SPIRED with downstream neural networks, we compose an end-to-end framework named SPIRED-Fitness for the rapid prediction of both protein structure and fitness from single sequence with satisfactory accuracy. Moreover, SPIRED-Stab, the derivative of SPIRED-Fitness, achieves state-of-the-art performance in predicting the mutational effects on protein stability.

Abstract Background The encystation of Acanthamoeba castellanii has important ecological and medical significance. Blocking encystation is the key to preventing transmission and curing infections caused by A. castellanii. The formation of autophagosomes is one of the most important changes that occur during the encystation of Acanthamoeba. Our previous studies have shown that the heat shock protein 20 of A. castellanii (Ac-HSP20) is involved in its encystation. This study aimed to determine the role and mechanism of Ac-HSP20 in regulating autophagy involved in the encystation of A. castellanii. Methods Immunofluorescence assay, western blotting and transmission electron microscopy were used to analyze the dynamic changes in autophagy during the initiation and continuation of encystation. The knockdown of Ac-HSP20 was performed to clarify its regulation of encystation and autophagy and to elucidate the molecular mechanism by which Ac-HSP20 participates in autophagy to promote cyst maturation. Results The encystation rates and autophagosomes were significantly decreased by treatment with the autophagy inhibitor 3-MA. The autophagy marker LC3B and autophagic lysosomes increased with the induced duration of encystation and reached the maximum at 48 h. The encystation rate, LC3B expression and autophagosomes decreased when Ac-HSP20 was knocked down by siRNA transfection. In addition, the expression levels of Ac-HSP20 and LC3B increased and the expressions of p-AKT and p-mTOR decreased after 48 h of encystation without knockdown. However, the expressions of p-AKT and p-mTOR increased while the expression of LC3B decreased under the knockdown of Ac-HSP20. Furthermore, the protein expression of LC3B increased when the PI3K/AKT/mTOR signaling pathway was inhibited but decreased when the pathway was activated. Conclusions The results demonstrated that autophagy is positively correlated with the encystation of A. castellanii, and Ac-HSP20 regulates autophagy to maintain the homeostasis of A. castellanii by inhibiting the PI3K /AKT /mTOR signaling pathway, thus promoting the maturation and stability of encystation. Graphical Abstract

Abstract Background Breast cancer is a common malignancy, and early detection coupled with standardized treatment is crucial for patient survival and recovery. This study aims to scrutinize the current state of breast cancer diagnosis and treatment in Shaanxi province, providing valuable insights into the local practices and outcomes. Methods We selected 25 hospitals that typically represent the current diagnosis and treatment strategy of breast cancer in Shaanxi (a province in northwest China). The questionnaire comprised sections on fundamental information, outpatient consultations, breast-conserving surgery, neoadjuvant and adjuvant therapy, sentinel lymph node biopsy, breast reconstruction surgery. Results A total of 6665 breast cancer operations were performed in these 25 hospitals in 2021. The overall proportion of breast-conserving surgery (BCS) is 23.6%. There was a statistically significant positive correlation between the annual volume of breast cancer surgery and the implementation rate of BCS (P = 0.004). A total of 2882 cases of neoadjuvant treatment accounted for 43.24% of breast cancer patients treated with surgery in 2017. Hospitals in Xi’an performed more neoadjuvant therapy for patients with breast cancer compared to other districts (P = 0.008). There was a significantly positive correlation between outpatient visits and the implementation rate of sentinel lymph node biopsy (SLNB) (P = 0.005). 14 hospitals in Shaanxi performed reconstructive surgery. Conclusions Breast conserving surgery, adjuvant and neoadjuvant therapy and sentinel lymph node biopsy in Shaanxi province have reached the China’s average level. Moreover, hospitals in Xi ’an have surpassed this average. However, a disparity is observed in the development of breast reconstruction surgery when compared to top-tier hospitals.

Abstract The negatively charged silicon vacancy center ( $${{\rm{V}}}_{{\rm{Si}}}^{-}$$ V Si − ) in silicon carbide (SiC) is an emerging color center for quantum technology covering quantum sensing, communication, and computing. Yet, limited information currently available on the internal spin-optical dynamics of these color centers prevents us from achieving the optimal operation conditions and reaching the maximum performance especially when integrated within quantum photonics. Here, we establish all the relevant intrinsic spin dynamics of the $${{\rm{V}}}_{{\rm{Si}}}^{-}$$ V Si − center at cubic lattice site (V2) in 4H-SiC by an in-depth electronic fine structure modeling including the intersystem-crossing and deshelving mechanisms. With carefully designed spin-dependent measurements, we obtain all the previously unknown spin-selective radiative and non-radiative decay rates. To showcase the relevance of our work for integrated quantum photonics, we use the obtained rates to propose a realistic implementation of time-bin entangled multi-photon GHZ and cluster state generation. We find that up to three-photon GHZ or cluster states are readily within reach using the existing nanophotonic cavity technology.

Abstract Solid nitrogen exhibits a panoply of phenomena ranging from complex molecular crystalline configurations to polymerization and closing band gap at higher densities. Among the elemental molecular solids, nitrogen stands apart for having phases, which can only be stabilized following particular pressure-temperature pathways, indicative of metastability and kinetic barriers. Here, through the combination of Raman spectroscopy and dynamic compression techniques, we find that the appearance of the whole nitrogen phase diagram is determined by the P-T paths taken below 2 GPa. We reveal the existence of the path- and phase-dependent triple point between the $$\beta$$ β - $$N_2$$ N 2 , $$\delta _{loc}$$ δ loc - $$N_2$$ N 2 and $$\gamma$$ γ - or $$\epsilon$$ ϵ - $$N_2$$ N 2 . We further show that the $$\beta$$ β - $$N_2$$ N 2 towards $$\gamma$$ γ - $$N_2$$ N 2 path below the triple point, that evades $$\delta$$ δ ( $$\delta _{loc}$$ δ loc )- $$N_2$$ N 2 , results in the formation of $$\gamma$$ γ - $$N_2$$ N 2 , which in turn becomes a dominant phase. We then demonstrate, that the $$\beta$$ β - $$N_2$$ N 2 through $$\delta$$ δ ( $$\delta _{loc}$$ δ loc )- $$N_2$$ N 2 above the triple point path leads to the formation of $$\epsilon$$ ϵ - $$N_2$$ N 2 and the “well-established” phase diagram. An additional pathway, which by-passes the rotationally inhibited modifications $$\delta$$ δ ( $$\delta _{loc}$$ δ loc )- $$N_2$$ N 2 , via rapid compression is found to produce $$\gamma$$ γ - $$N_2$$ N 2 at higher temperatures. We argue that the pathway and phase sensitive triple point and the compression rate dependent phase formation challenge our understanding of this archetypal dense molecular solid.

Digital maps, serving as pivotal instruments in the realm of geographic information services, adeptly encapsulate spatial data through refined graphics and symbols. Widely used across various domains such as smart devices, in-vehicle navigation systems, unmanned aerial vehicles (UAV), electronic gaming, and virtual reality, these maps face the ongoing challenge of delivering real-time, precise, and efficacious map rendering and interaction experiences. In response to this challenge, this study introduces a Stylized Hierarchical Symbol structure (SHS) and a Geographic Feature Color-weighted Rendering technique (GFCR). The approach is further complemented by incorporating Adaptive Hierarchy-Weighted caching (AHie), Catalan Number-based Caching access (CatNCa), and Grid-based Dynamic caching loading (GriD). Experimental results demonstrate the method's effectiveness in addressing issues related to timeliness, accuracy, and logical correctness in mobile map environments, enhancing the real-time interaction experience of mobile digital maps. Notably, this method imposes modest hardware and storage requirements, making it applicable to a wide range of scenarios including natural resource planning, intricate road landscapes, route navigation challenges, and emerging fields such as autonomous driving, virtual reality, and the metaverse.

Abstract Due to its inherent ductility, Ag2S shows promise as a flexible thermoelectric material for harnessing waste heat from diverse sources. However, its thermoelectric performance remains subpar, and existing enhancement strategies often compromise its ductility. In this study, a novel Sn‐doping‐induced biphasic structuring approach is introduced to synergistically control electron and phonon transport. Specifically, Sn‐doping is incorporated into Ag2S0.7Se0.3 to form a biphasic composition comprising (Ag, Sn)2S0.7Se0.3 as the primary phase and Ag2S0.7Se0.3 as the secondary phase. This biphasic configuration achieves a competitive figure‐of‐merit ZT of 0.42 at 343 K while retaining exceptional ductility, exceeding 90%. The dominant (Ag, Sn)2S0.7Se0.3 phase bolsters the initially low carrier concentration, with interfacial boundaries between the phases effectively mitigating carrier scattering and promoting carrier mobility. Consequently, the optimized power factor reaches 5 µW cm−1 K−2 at 343 K. Additionally, the formation of the biphasic structure induces diverse micro/nano defects, suppressing lattice thermal conductivity to a commendable 0.18 W m−1 K−1, thereby achieving optimized thermoelectric performance. As a result, a four‐leg in‐plane flexible thermoelectric device is fabricated, exhibiting a maximum power density of ≈49 µW cm−2 under the temperature difference of 30 K, much higher than that of organic‐based flexible thermoelectric devices.

Introduction This study aims to evaluate the efficacy of a computer vision system in guiding exercise management for patients with knee osteoarthritis (OA) by comparing functional improvement between a tele-rehabilitation versus an outpatient intervention program.Methods and analysis This is a prospective, single-blind, randomised controlled trial of 60 patients with knee OA who will be randomly assigned to exercise therapy (n=30) or control (n=30) . Both groups will receive treatment two times per week for 12 weeks. The primary outcome of the study will be assessed using the University of Western Ontario and McMaster University Osteoarthritis Index (WOMAC). The Knee Injury and Osteoarthritis Outcome Score will be assessed, as well as the visual analogue scale, quality of life score and physical fitness score. All observations will be collected at baseline and at weeks 4, 8 and 12 during the intervention period, as well as at weeks 4, 8, 12 and 24 during the follow-up visits after the end of the intervention.Ethics and dissemination This evaluator-blinded, prospective, randomised controlled study was approved by the Biomedical Ethics Review Committee of West China Hospital of Sichuan University.Trial registration number ChiCTR2300070319.

Recently, a new anti-irradiation mechanism relying on reversible disorder-ordering transition of coherent nanoparticles was discovered, which significantly improves the microstructural stability and void swelling resistance of metallic materials. However, the factors that govern the outstanding stability and superb radiation tolerance are still not clear. Here, two kinds of FeCrAl alloys were designed, each strengthened by a different type of coherent phase: L21-ordered Fe2AlV and B2-ordered Ni (Al, Fe). It was observed that the two alloys exhibited disparate responses to high-dose ion irradiations at elevated temperatures. The L21-Fe2AlV precipitates were found to be completely dissolved after 50 dpa of ion irradiation at 500–600 °C, whereas the B2-NiAl precipitates remained stability even after 200 dpa irradiation. This research challenges the conventional wisdom that the stability of nanoparticles is governed by the balance between radiation-enhanced coarsening and radiation dissolution. Instead, it demonstrates the re-nucleation and subsequent interface-controlled solute reshuffling processes govern the stability of coherent chemically-ordered nanoparticles under radiation at high temperatures. We demonstrate that the low interfacial energy, which is related to both the simply chemically-ordered lattice structure and low lattice misfit interface, is crucial for enabling such short-range elemental reshuffling process to repeatedly form nanoprecipitates that cannot be suppressed by radiation.

The liver is the largest solid organ in the body and is primarily composed of hepatocytes (HCs), endothelial cells (ECs), Kupffer cells (KCs), and hepatic stellate cells (HSCs), which spatially interact and cooperate with each other to maintain liver homeostasis. However, the complexity and molecular mechanisms underlying the crosstalk between these different cell types remain to be revealed. Here, we generated mice with conditional deletion of Gdf2 (also known as Bmp9) and Bmp10 in different liver cell types and demonstrated that HSCs were the major source of GDF2 and BMP10 in the liver. Using transgenic ALK1 (receptor for GDF2 and BMP10) reporter mice, we found that ALK1 is expressed on KCs and ECs other than HCs and HSCs, and GDF2 and BMP10 secreted by HSCs promote the differentiation of KCs and ECs and maintain their identity. Pdgfb expression was significantly upregulated in KCs and ECs after Gdf2 and Bmp10 deletion, ultimately leading to HSCs activation and liver fibrosis. ECs express several angiocrine factors, such as BMP2, BMP6, Wnt2, and Rspo3, to regulate HC iron metabolism and metabolic zonation. We found that these angiocrine factors were significantly decreased in ECs from Gdf2/Bmp10HSC-KO mice, which further resulted in liver iron overload and disruption of HC zonation. In summary, we demonstrated that HSCs play a central role in mediating liver cell-cell crosstalk via the production of GDF2 and BMP10, highlighting the important role of intercellular interaction in organ development and homeostasis.

Gene expression is regulated by transcription factors binding to cis-elements in promoters. However, efficient cis-elements for genetic engineering are rarely reported. In this study, we identified an 11 bp cis-element in the PtoCP1 promoter that drives strong constitutive gene expression in Populus tomentosa. A 2,270 bp promoter region upstream of the PtoCP1 gene’s translation start site was cloned and named ProPtoCP1. This promoter controls GUS reporter gene expression in the roots, leaves, and stems of Arabidopsis seedlings. Based on the location and density of cis-elements, the PtoCP1 promoter was divided into four fragments by 5′-end deletions. GUS staining and RT-qPCR revealed a key cis-element at −466 to −441 bp essential for gene expression. Further analysis showed that the MYB-TGACG cis-element is a positive regulator, whereas neither MYB nor TGACG alone drove gene expression. This study enhances our understanding of gene expression regulation by cis-elements and provides a valuable tool for genetic engineering.

The load-sensing electro-hydrostatic actuator (LS-EHA) allows to reduce the thermal output and enhance the dynamic characteristics of the more electric aircraft (MEA). In addition, the forecasting of the LS-EHA is crucial for its efficient functioning. This study proposes a novel model for the analysis of overturning and wear characterization of the slipper, while focusing on the partial abrasion. The transient thermoelastic hydrodynamic (TEHD) lubricating analysis of the slipper pair is solved by an analytical model along with the finite difference method. In the proposed partial abrasion model, the non-uniformity of the oil film thickness and the partial abrasion contour for the slipper bottom surface are considered through the discrete friction area approach in order to reach a higher precision. Afterward, the overturning behavior characteristics of the slipper and the variation law in its overturning behavior under different rotation speeds, load delivery pressures, and swashplate angles are analyzed. The obtained results demonstrate that the lubricating oil film field is unevenly distributed, and the overturning behavior of the slipper has certain variable load characteristics. Finally, the effectiveness and precision of the proposed partial abrasion model are validated through comparative simulation experiments and analysis.

BackgroundThis article employs bibliometric methods and visual maps to delineate the research background, collaborative relationships, hotspots, and trends in the study of gut fungi in human diseases and health.MethodsPublications related to human gut fungi were retrieved from the Web of Science Core Collection. VOSviewer, CiteSpace, R software and Microsoft Excel were employed to generate visual representations illustrating the contributions made by countries/regions, authors, organizations, and journals. Employing VOSviewer and CiteSpace, we conducted a comprehensive analysis of the retrieved publications, revealing underlying tendencies, research hotspots, and intricate knowledge networks.ResultsThis study analyzed a total of 3,954 publications. The United States ranks first in the number of published papers and has the highest number of citations and h-index. Mostafa S Elshahed is the most prolific author. The University of California System is the institution that published the most papers. Frontiers In Microbiology is the journal with the largest number of publications. Three frequently co-cited references have experienced a citation burst lasting until 2024.ConclusionAdvancements in sequencing technologies have intensified research into human gut fungi and their health implications, shifting the research focus from gut fungal infections towards microbiome science. Inflammatory bowel diseases and Candida albicans have emerged as pivotal areas of interest in this endeavor. Through this study, we have gained a deeper insight into global trends and frontier hotspots within this field, thereby enhancing our understanding of the intricate relationship between gut fungi and human health.

Objective To construct applicable models suitable for predicting the risk of suicidal behavior among individuals with depression, particularly on the progression from no history of suicidal behavior to suicide attempts, as well as from suicidal ideation to suicide attempts. Methods Based on a prospective cohort from the UK Biobank, a total of 55,139 individuals aged 50 and above with depression were enrolled in the study, among whom 29,528 exhibited suicidal behavior. Specifically, they were divided into control (25,611), suicidal ideation (24,361), and suicide attempt (5167) groups. Least absolute shrinkage and selection operator (LASSO) regression was used to identify a subset of important features for distinguishing suicidal ideation and suicide attempts. We used the Gradient Boosting Decision Tree (GBDT) algorithm with stratified 10-fold cross-validation and grid-search to construct the prediction models for suicidal ideation or suicide attempts. To address the dataset imbalance in classifying suicide attempts, we used random under-sampling. The SHapley Additive exPlanations (SHAP) were used to estimate the important variables in the GBDT model. Results Significant differences in sociodemographic, economic, lifestyle, and psychological factors were observed across the three groups. Each classifier optimally utilized 8–11 features. Overall, the algorithms predicting suicide attempts demonstrated slightly higher performance than those predicting suicidal ideation. The GBDT classifier achieved the highest accuracy, with AUROC scores of 0.914 for suicide attempts and 0.803 for suicidal ideation. Distinctive predictive factors were identified for each group: while depression's inherent characteristics crucially distinguished the suicidal ideation group from controls, some key predictors, including the age of depression onset and childhood trauma events, were identified for suicide attempts. Conclusions We established applicable machine learning-based models for predicting suicidal behavior, particularly suicide attempts, in individuals with depression, and clarified the differences in predictors between suicidal ideation and suicide attempts.

IntroductionChanges in the rhizosphere microbiome and metabolites resulting from crop intercropping can significantly enhance crop growth. While there has been an increasing number of studies on various crop combinations, research on the intercropping of tobacco and maize at seedling stage remains limited.MethodsThis study is the first to explore rhizosphere effects of intercropping between tobacco and maize seedling stages, we analyzed the nitrogen, phosphorus and potassium nutrients in the soil, and revealed the important effects on soil microbial community composition and metabolite profiles, thereby regulating crop growth and improving soil balance.Results and discussionCompared with mono-cropping, intercropping increased the biomass of the two crops and promoted the nutrient absorption of nitrogen, phosphorus and potassium. Under intercropping conditions, the activities of sucrase, catalase and nitrate reductase in tobacco rhizosphere soil and the content of available potassium, the activities of nitrate reductase and acid phosphatase in maize rhizosphere soil were significantly increasing. Rhizosphere soil bacterial and fungal communities such as Sphingomonas, Massilia, Humicola and Penicillium respond differently to crop planting patterns, and soil dominant microbial communities are regulated by environmental factors such as pH, Organic Matter, Available Potassium, Nitrate Reductase, and Urease Enzyme. Network analysis showed that soil microbial communities were more complex after intercropping, and the reciprocal relationship between bacteria and fungi was enhanced. The difference of metabolites in soil between intercropping and monocropping system was mainly concentrated in galactose metabolism, starch and sucrose metabolism pathway, and the content of carbohydrate metabolites was significantly higher than that of monocropping soil. Key metabolites such as D-Sucrose, D-Fructose-6-Phosphate, D-Glucose-1-Phosphatel significantly influence the composition of dominant microbial communities such as Sphingomonas and Penicillium. This study explained the effects of intercropping between flue-cured tobacco and maize on the content of soil metabolites and soil microbial composition in rhizosphere soil, and deepened the understanding that intercropping system can improve the growth of flue-cured crops seedlings through rhizosphere effects.

Introduction Deep brain stimulation (DBS) and vagus nerve stimulation (VNS) can improve motor function in patients with poststroke hemiplegia. No comparison study exists.Methods and analysis This is a randomised, double-blind, controlled clinical trial involving 64 patients who had their first stroke at least 6 months ago and are experiencing poststroke limb dysfunction. These patients must receive necessary support at home and consent to participate. The aim is to evaluate the effectiveness and safety of DBS and VNS therapies. Patients are excluded if they have implantable devices that are sensitive to electrical currents, severe abnormalities in their lower limbs or are unable to comply with the trial procedures. The study has two parallel, distinct treatment arms: the Stimulation Group and the Sham Group. Initially, the Stimulation Group will undergo immediate electrical stimulation postsurgery, while the Sham Group will receive non-stimulation 1 month later. After 3 months, these groups will swap treatments, with the Stimulation Group discontinuing stimulation and the Sham Group initiating stimulation. Six months later, both groups will resume active stimulation. Our primary outcomes will meticulously assess motor function improvements, using the Fugl-Meyer Assessment, and safety, monitored by tracking adverse reaction rates. Furthermore, we will gain a comprehensive view of patient outcomes by evaluating secondary measures, including clinical improvement (National Institutes of Health Stroke Scale), surgical complications/side effects, quality of life (36-item Short Form Questionnaire) and mental health status (Hamilton Anxiety Rating Scale/Hamilton Depression Rating Scale). To ensure a thorough understanding of the long-term effects, we will conduct follow-ups at 9 and 12 months postsurgery, with additional long-term assessments at 15 and 18 months. These follow-ups will assess the sustained performance and durability of the treatment effects. The statistical analysis will uncover the optimal treatment strategy for poststroke hemiplegia, providing valuable insights for clinicians and patients alike.Ethics and dissemination This study was reviewed and approved by the Ethical Committee of Chinese PLA General Hospital (S2022-789-01). The findings will be submitted for publication in peer-reviewed journals with online accessibility, ensuring adherence to the conventional scientific publishing process while clarifying how the research outcomes will be disseminated and accessed.Trial registration number NCT06121947.

Summary: Background: Previous conventional epidemiological studies found a J-shape relationship between alcohol consumption and dementia, but this result was subject to confounding biases and reverse causation. Therefore, we aimed to investigate the potential linear or non-linear causal association between alcohol consumption and the incident risk of dementia in current drinkers. Methods: This study used data from the UK Biobank to investigate the relationship between alcohol consumption and dementia risk. 313,958 White British current drinkers, who were free of dementia during 2006–2010, were followed up until 2021. Alcohol consumption was self-reported and calculated according to the National Health Service guideline. The primary outcome was all-cause dementia identified through hospital and mortality records. We used multivariable Cox models with restricted cubic splines for conventional analysis and both non-linear and linear Mendelian Randomization (MR) analyses to assess causal relationships, employing a genetic score based on 95 SNPs identified from a meta-genome-wide association study of 941,280 people from Europe. Findings: 313,958 current drinkers consumed an average of 13.6 [IQR: 7.1–25.2] units/week alcohol (men averaged 20.2 [11.1–33.9] units/week and women 9.5 [5.3–16.7] units/week). During a mean follow-up of 13.2 years, 5394 (1.7%) developed dementia. Multivariable Cox model with restricted cubic spline functions identified a J-shaped relationship between alcohol consumption and dementia risk, with the lowest risk at 12.2 units/week. The non-linear MR failed to identify a significant non-linear causal relationship (p = 0.45). Both individual-level (HR: 2.22 95%CI [1.06–4.66]) and summary-level (1.89 [1.53–2.32]) linear MR analyses indicated that higher genetically predicted alcohol consumption increased dementia risk. Interpretation: This study identified a positive linear causal relationship between alcohol consumption and dementia among current drinkers. The J-shaped association found in conventional epidemiological analysis was not supported by non-linear MR analyses. Our findings suggested that there was no safe level of alcohol consumption for dementia. Funding: The Shenzhen Science and Technology Program and the Strategic Priority Research Program of Chinese Academy of Sciences.

Although sows do not directly enter the market, they play an important role in piglet breeding on farms. They consume large amounts of feed, resulting in a significant environmental burden. Pig farms can increase their income and reduce environmental pollution by increasing the litter size (LS) of swine. PCR-RFLP/SSCP and GWAS are common methods to evaluate single-nucleotide polymorphisms (SNPs) in candidate genes. We conducted a systematic meta-analysis of the effect of SNPs on pig LS. We collected and analysed data published over the past 30 years using traditional and network meta-analyses. Trial sequential analysis (TSA) was used to analyse population data. Gene set enrichment analysis and protein–protein interaction network analysis were used to analyse the GWAS dataset. The results showed that the candidate genes were positively correlated with LS, and defects in PCR-RFLP/SSCP affected the reliability of candidate gene results. However, the genotypes with high and low LSs did not have a significant advantage. Current breeding and management practices for sows should consider increasing the LS while reducing lactation length and minimizing the sows’ non-pregnancy period as much as possible.

Highlights A series of layered oxide cathode materials were synthesized by high-temperature shock strategy for the first time. The approaching ultimate solid reaction rate of the layered nickel-rich layered oxide LiNixCoyMnzO2 was investigated for the first time. Ultrafast average reaction rate of phase transition from Ni0.6Co0.2Mn0.2(OH)2 to Li-containing oxides is 66.7 (% s-1), that is, taking only 1.5 s.

Abstract Surface ozone is an important air pollutant detrimental to human health and vegetation productivity, particularly in China. However, high resolution surface ozone concentration data is still lacking, largely hindering accurate assessment of associated environmental impacts. Here, we collected hourly ground ozone observations (over 6 million records), remote sensing products, meteorological data, and social-economic information, and applied recurrent neural networks to map hourly surface ozone data (HrSOD) at a 0.1° × 0.1° resolution across China during 2015–2020. The coefficient of determination (R2) values in sample-based, site-based, and by-year cross-validations were 0.72, 0.65 and 0.71, respectively, with the root mean square error (RMSE) values being 11.71 ppb (mean = 30.89 ppb), 12.81 ppb (mean = 30.96 ppb) and 11.14 ppb (mean = 31.26 ppb). Moreover, it exhibits high spatiotemporal consistency with ground-level observations at different time scales (diurnal, seasonal, annual), and at various spatial levels (individual sites and regional scales). Meanwhile, the HrSOD provides critical information for fine-resolution assessment of surface ozone impacts on environmental and human benefits.

Abstract P-type Fe3CoSb12-based skutterudite thin films are successfully fabricated, exhibiting high thermoelectric performance, stability, and flexibility at medium-to-high temperatures, based on preparing custom target materials and employing advanced pulsed laser deposition techniques to address the bonding challenge between the thin films and high-temperature flexible polyimide substrates. Through the optimization of fabrication processing and nominal doping concentration of Ce, the thin films show a power factor of >100 μW m−1 K−2 and a ZT close to 0.6 at 653 K. After >2000 bending cycle tests at a radius of 4 mm, only a 6 % change in resistivity can be observed. Additionally, the assembled p-type Fe3CoSb12-based flexible device exhibits a power density of 135.7 µW cm−2 under a temperature difference of 100 K with the hot side at 623 K. This work fills a gap in the realization of flexible thermoelectric devices in the medium-to-high-temperature range and holds significant practical application value.

Abstract Mechanical energy harvesting using triboelectric nanogenerators is a highly desirable and sustainable method for the reliable power supply of widely distributed electronics in the new era; however, its practical viability is seriously challenged by the limited performance because of the inevitable side-discharge and low Coulombic-efficiency issues arising from electrostatic breakdown. Here, we report an important progress on these fundamental problems that the spontaneously established reverse electric field between the electrode and triboelectric layer can restrict the side-discharge problem in triboelectric nanogenerators. The demonstration employed by direct-current triboelectric nanogenerators leads to a high Coulombic efficiency (increased from 28.2% to 94.8%) and substantial enhancement of output power. More importantly, we demonstrate this strategy is universal for other mode triboelectric nanogenerators, and a record-high average power density of 6.15 W m−2 Hz−1 is realized. Furthermore, Coulombic efficiency is verified as a new figure-of-merit to quantitatively evaluate the practical performance of triboelectric nanogenerators.

Abstract Lung diseases globally impose a significant pathological burden and mortality rate, particularly the differential diagnosis between adenocarcinoma, squamous cell carcinoma, and small cell lung carcinoma, which is paramount in determining optimal treatment strategies and improving clinical prognoses. Faced with the challenge of improving diagnostic precision and stability, this study has developed an innovative deep learning-based model. This model employs a Feature Pyramid Network (FPN) and Squeeze-and-Excitation (SE) modules combined with a Residual Network (ResNet18), to enhance the processing capabilities for complex images and conduct multi-scale analysis of each channel's importance in classifying lung cancer. Moreover, the performance of the model is further enhanced by employing knowledge distillation from larger teacher models to more compact student models. Subjected to rigorous five-fold cross-validation, our model outperforms existing models on all performance metrics, exhibiting exceptional diagnostic accuracy. Ablation studies on various model components have verified that each addition effectively improves model performance, achieving an average accuracy of 98.84% and a Matthews Correlation Coefficient (MCC) of 98.83%. Collectively, the results indicate that our model significantly improves the accuracy of disease diagnosis, providing physicians with more precise clinical decision-making support.

The tensile properties of biphasic nickel-based nanopolycrystalline alloys (Ni–Ni3Al) at different temperatures were simulated by molecular dynamics. The results show that the tensile properties of the dual-phase nano-polycrystalline alloy are obviously better than those of the conventional nickel metal. The γ 'phase (Ni3Al) is LI2 type structure, which shows higher stability and reduces grain boundary migration during deformation due to the lower atomic potential energy of γ′ phase. As the temperature increases, the mechanical behavior of the biphasic alloy and nickel metal shows the same decreasing trend. Dislocation is an important factor affecting the strength of γ 'phase plastic deformation. The current study provides an atomic perspective on the deformation process and mechanism of biphasic nickel-based nanopolycrystalline alloys, and provides a new perspective for the design of novel superalloys with excellent mechanical properties.