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Abstract Objective: This study aims to examine the associations between various dimensions of social support and sleep quality in a hospital psychiatric outpatient population using canonical correlation analysis, while also investigating the potential mediating roles of anxiety and depressive symptoms. Methods: Employing a cross-sectional design, survey data were collected from 10,071 individuals visiting Hangzhou Seventh People’s Hospital between October 2020 and October 2023. After excluding invalid cases, a total of 10,063 participants were included for analysis. The survey encompassed gathering basic demographic information as well as administering the Social Support Rating Scale, Self-rating Depression Scale, Self-rating Anxiety Scale, and Pittsburgh Sleep Quality Index Scale. Data analysis was conducted using SPSS 27.0 statistical software with canonical correlation analysis employed to examine the relationships. Additionally, the mediating effects of anxiety and depression symptoms were examined using the SPSS PROCESS macro. Results: Canonical correlation analysis reveals a significant positive correlation between social support dimensions and various aspects of sleep quality. The first pair of canonical variables (r = 0.586, p

Abstract Spurred by the simultaneous need for data privacy protection and data sharing, federated learning (FL) has been proposed. However, it still poses a risk of privacy leakage in it. This paper, an improved Differential Privacy (DP) algorithm to protect the federated learning model. Additionally, the Fast Fourier Transform (FFT) is used in the computation of the privacy budget $$\epsilon_{total}$$ , to minimize the impact of limited arithmetic resources and numerous users on the effectiveness of training model. Moreover, instead of direct analyses of the privacy budget $$\epsilon$$ through various methods, Privacy Loss Distribution (PLD) and privacy curves are adopted, while the number of artificial assignments hyperparameters is reduced, and the grid parameters delineated for FFT use are improved. The improved algorithm tightens parameter bounds and minimizes human factors’ influence with minimal efficiency impact. It decreases the errors caused by truncation and discreteness of PLDs while expanding the discreteness interval to reduce the calculation workload. Furthermore, an improved activation function using a temper sigmoid with only one parameter $$\tau\:$$ , smooths the accuracy curve and mitigates drastically fluctuating scenarios during model training. Finally, simulation results on real datasets show that our improved DP algorithm, which accounts for long trailing, facilitates a better balance between privacy and utility in federated learning models.

Abstract Background Modulating the microbiome with nanomaterials has been proposed to improve plant growth, and reduce reliance on external inputs. Carbon Nanosol (CNS) was attracted for its potential to improve plant productivity. However, the mechanism between CNS and rhizosphere microorganisms remained largely elusive. Results Here, we tried to systematically explore the effects of CNS (600 and 1200 mg/L by concentration) on tobacco growth, soil physical properties, and root-associated microbiome. The influence of CNS on soil physicochemical properties and plant growth was significant and dose-dependent, leading to a 28.82% increase in biomass accumulation by 600 mg/L CNS. Comparison between the CNS-treated and control plants revealed significant differences in microbiome composition, including 1148 distinct ASVs (923 bacteria and 225 fungi), microbiome interactions, and metabolic function of root-associated microbiomes. Fungal and bacterial communities had different response patterns for CNS treatment, with phased and dose-dependent effects, with the most significant changes in microbial community structure observed at 1200 mg/L after 10 days of treatment. Microbial networks of CNS-treated plants had more nodes and edges, higher connectivity, and more hub microorganisms than those of control plants. Compared with control, CNS significantly elevated abundances of various bacterial biomarkers (such as Sphingomonas and Burkholderia) and fungi biomarkers (including Penicillium, Myceliophthora, and Talaromyces), which were potential plant-beneficial organisms. Functional prediction based on metagenomic data demonstrated pathways related to nutrient cycling being greatly enriched under CNS treatment. Furthermore, 391 culturable bacteria and 44 culturable fungi were isolated from soil and root samples. Among them, six bacteria and two fungi strains enriched upon CNS treatment were validated to have plant growth promotion effect, and two fungi (Cladosporium spp. and Talaromyces spp.) played their roles by mediating volatile organic compounds (VOCs). To some extent, the driving and shaping of the microbiome by CNS contributed to its impact on plant growth and development. Conclusion Our results revealed the key role of root-associated microbiota in mediating the interaction between CNS and plants, thus providing valuable insights and strategies for harnessing CNS to enhance plant growth. Graphical Abstract

To solve the problem of low cementitious activity of steel slag (SS), N, N-bis(2-hydroxyethyl)-2-aminoethanesulfonic acid sodium salt (BES-Na) and triethanolamine (TEA) were used in this study to improve the hydration activity of SS. However, there are no comparative studies on the effects of BES-Na and TEA on the hydration of SS-Portland cement (PC) systems. This study compared the hydration process and strength development of SS-PC systems in the presence of BES-Na and TEA, as well as the complexing ability of BES-Na and TEA. The results showed that both BES-Na and TEA improved the early compressive strength of SS-PC mortar, but TEA did not contribute to the late compressive strength, while BES-Na still improved the late compressive strength. At the same dosage, TEA accelerated aluminates hydration more than BES-Na and retarded/inhibited silicates hydration more than BES-Na. This difference in effect on hydration can be attributed to the difference in their complexing ability. TEA has a stronger complexing ability with metal ions than BES-Na, which is beneficial for accelerating aluminates hydration, but this not only prolonged the hydration induction period but also inhibited silicates hydration. BES-Na has a weaker complexing ability relative to TEA. Although BES-Na has a weaker accelerating effect on aluminates hydration, it has a lesser effect on silicates hydration and even accelerates silicates hydration at low dosage. This study also showed that BES-Na is an alternative additive to TEA, which could help expand the application of BES-Na in cementitious materials.

Abstract Oral tolerance is essential for intestinal homeostasis and systemic immune function. However, our understanding of how oral tolerance is maintained is inadequate. Here we report that food-derived nucleic acids promote oral tolerance through innate sensing pathways. We find that dietary nucleic acids, but not microbiota, expand the natural intraepithelial lymphocyte (IEL) pool, specifically in the small intestine. TGF-β1, produced by natural IELs, then promotes activation of gut CD103+ dendritic cells to support the induction of antigen-specific Treg cells in a mouse model of OVA-induced oral tolerance. Mechanistically, MAVS and STING are redundantly required for sensing dietary RNAs and DNAs to activate downstream TBK1 signalling to induce IL-15 production, which results in the accumulation of natural IELs. Thus, our study demonstrates a key role of food-triggered innate sensing pathways in the maintenance of natural IELs and oral tolerance.

The present study examined the evolution of interfacial microstructure and on the element distribution of GH4169/GH3039 dissimilar joints by laser welding under different preheating temperatures. The results indicated that the microstructure observed in the interface layer on the GH4169 side exhibited distinct layers, namely diffusion layer and transition layer, which varied depending on the varied preheating temperature. Within the weld seam (WS), two types of dendrites were predominantly present: lath-like columnar dendrite and cellular dendrite. In the GH3039 side, the grain structure was mainly dominated by columnar dendrites, exhibits perpendicular growth to the fusion line and demonstrates a certain epitaxial growth morphology. Moreover, excessive preheating temperature intensified the migration of elements and phase transition behavior. As the preheating temperature increased, the low-angle grain boundaries (LAGBs) percentage decreased from 13% to 9.4%. The average grain size of the WS at room temperature, 200 °C and 400 °C is 44.1 μm, 53.3 μm and 58.2 μm, respectively. This paper provides a basis for tuning microstructure and element behavior via preheating temperature optimization in laser welding of dissimilar GH4169/GH3039 for further engineering application.

The adiabatic shear band is a common dynamic failure mechanism in metal materials at high strain rates. In this work, a new approach was proposed to improve mechanical properties and inhibit the formation and propagation of the adiabatic shear band in the pure Mo single crystal. The microstructure evolution of the pure Mo and Mo-Nb single crystals subjected to the dynamic load was investigated by EBSD and TEM. At a strain rate of 2500 s−1, the developed adiabatic shear band was totally distributed in the pure Mo single crystal, and the slip is the main deformation mechanism. A thinner adiabatic shear band was distributed in the Mo-3Nb single crystal accompanied by a few bands of deformation twins and then disappeared in the Mo-6Nb single crystal, replaced by the {112} deformation twinning. At high strain rates, the dynamic deformation mechanism of the Mo single crystal is sensitive to the Nb element, which attributes to the reduction of the generalized stacking fault energy.

Understanding the hot deformation behavior of steel and establishing corresponding hot processing maps are crucial methods for determining appropriate hot processing parameters. In this article, the hot deformation behavior of a high-nitrogen austenitic stainless steel was investigated in the temperature range of 900–1150 °C and the strain rate range of 0.01–10 s−1 on a Gleeble-3500 thermo-mechanical simulator. The results show that the flow stress of experimental steel increases with decreasing deformation temperature and increasing strain rate. Based on the Arrhenius model, a constitutive equation was developed for the experimental steel, with a hot deformation activation energy of 603.347 kJ/mol. The hot processing maps were created employing the dynamic material model to determine the optimum hot processing conditions for the experimental steel at different strain levels.

This study examines the hot deformation behavior of Mo-14Re alloy at various true strains (15%, 35%, 65%) and strain rates (0.01 s−1, 10 s−1) at a temperature of 1400K. The findings indicate that dynamic recovery (DRV) and dynamic recrystallization (DRX) occur concomitantly as strain increases at a low strain rate of 0.01 s−1, with DRV being the predominant softening mechanism. At a strain of 65%, DRX emerges as the primary softening process. Conversely, under high strain rates of 10 s−1, DRX is inhibited, and the Mo-14Re alloy experiences work hardening due to an increase in dislocation density. Microscopic analysis shows that the high-density dislocations facilitate the continued nucleation and growth of recrystallized grains at low strain rates. At high strain rates, tangled dislocations hinder dislocation motion and recrystallization. Regarding texture evolution, stronger {100}//CD and weaker {111}//CD fiber texture is observed at low strain rates of 0.01 s−1, while stronger {111}//CD and weaker {100}//CD fiber texture forms at high strain rates of 10 s−1, with enhanced texture intensity. Mechanistic analysis confirms the activation of the {110}, {112}, and {123} dislocation slip systems at elevated temperatures, with the {123} system being the most dominant.

Unresectable hepatocellular carcinoma unresponsive to first-line immunotherapy has a poor prognosis with modest response to tyrosine kinase inhibitors in the second line. In these patients, the benefit of local therapy with immunotherapy rechallenge is unknown. Radioembolization is a guideline-supported locoregional therapy for HCC that has shown the potential for synergy in combination with immunotherapy. This report describes a patient with veno-invasive HCC and extrahepatic invasion of the right kidney which progressed on atezolizumab and bevacizumab and was subsequently downstaged to resection with ipilimumab and nivolumab plus radioembolization yielding a complete pathologic response. The patient is currently more than 2 years since diagnosis without evidence of disease recurrence.

Abstract Megachile is one of the largest bee genera, including nearly 1,500 species, but very few chromosome-level assemblies exist for this group or the family Megachilidae. Here, we report the chromosome-level genome assembly of Megachile lagopoda collected from Xizang, China. Using PacBio CLR long reads and Hi-C data, we assembled a genome of 256.83 Mb with 96.08% of the assembly located on 16 chromosomes. Our assembly contains 266 scaffolds, with a scaffold N50 length of 15.6 Mb, and BUSCO completeness of 99.20%. We masked 27.10% (69.61 Mb) of the assembly as repetitive elements, identified 459 non-coding RNAs, and predicted 11,157 protein-coding genes. This high-quality genome of M. lagopoda represents an important step forward for our knowledge of megachilid genomics and bee evolution overall.

Abstract The role of gut microbiota (GM) dysbiosis in the pathogenesis of depression has received widespread attention, but the mechanism remains elusive. Corticosterone (CORT)-treated mice showed depression-like behaviors, reduced hippocampal neurogenesis, and altered composition of the GM. Fecal microbial transplantation from CORT-treated mice transferred depression-like phenotypes and their dominant GM to the recipients. Fecal metabolic profiling exposed remarkable increase of gut ceramides in CORT-treated and recipient mice. Oral gavage with Bifidobacterium pseudolongum and Lactobacillus reuteri could induce elevations of gut ceramides in mice. Ceramides-treated mice showed depressive-like phenotypes, significant downregulation of oxidative phosphorylation-associated genes, and hippocampal mitochondrial dysfunction. Our study demonstrated a link between chronic exposure to CORT and its impact on GM composition, which induces ceramides accumulation, ultimately leading to hippocampal mitochondrial dysfunction. This cascade of events plays a critical role in reducing adult hippocampal neurogenesis and is strongly associated with the development of depression-like behaviors.

Abstract Histological analysis with 2,3,5-triphenyltetrazolium chloride (TTC) staining is the most frequently used tool to detect myocardial ischemia/reperfusion injury. However, its practicality is often challenged by poor image quality in gross histology, leading to an equivocal infarct-boundary delineation and potentially compromised measurement accuracy. Here, we introduce several crucial refinements in staining protocol and sample processing, which enable TTC images to be analyzed with light microscopy. The refined protocol involves a two-step TTC staining process (perfusion and immersion) and subsequent Zamboni fixation to differentiate myocardial viability and necrosis, and use of Coomassie brilliant blue to label area-at-risk. After the duo-staining steps were completed, the heart sample was embedded and sliced transversally by a cryostat into a series of thin sections (50 µm) for microscopic analysis. The refined TTC (redTTC) assay yielded remarkably high-quality images with striking color intensity and sharply defined boundaries, permitting unambiguous and reliable delineation of the infarct and area-at-risk. In the same animals, the redTTC assay showed good agreement with the in-vivo gold standard measurements (LGE and MEMRI). Meanwhile, redTTC imaging allows tracking of viable cardiomyocytes at cellular resolution, and with this enhanced capability, we convincingly demonstrated the pro-survival action of stem cells based-therapy. Therefore, the redTTC assay represents a significant technical advance that permits precise detection of the true extent of cardiac injury and cardiomyocyte viability. This approach is cost-effective and may be adapted for use in diverse applications, making it highly appealing to many laboratories performing ischemia/reperfusion injury experiments.

Abstract The optimal surgical approach for elderly patients with early-stage non-small cell lung cancer (NSCLC) remains a topic of debate. A retrospective analysis was conducted on patients who underwent pulmonary resection for early-stage NSCLC at our single institution between January 2018 and December 2022. Propensity score matching was used to balance baseline characteristics between the sublobar resection and lobectomy groups. Perioperative outcomes, pulmonary function recovery, postoperative quality of life, and survival were compared between the two groups. A total of 151 patients were included, with 42 undergoing sublobar resection and 109 undergoing lobectomy. After propensity score matching, baseline characteristics were well-balanced between the two groups. Sublobar resection was associated with shorter operative time (125.83 ± 33.56 min vs. 161.14 ± 61.54 min, p = 0.048), less intraoperative blood loss [65 (30, 75) ml vs. 120 (70, 170) ml, p

Abstract Background Ciprofol was approved for use in intensive care unit (ICU) patients requiring sedation during mechanical ventilation in July 2022. A pooled post-hoc analysis of phase 2 and phase 3 trials was conducted primarily to explore hypotension-free outcome in ICU patients who required mechanical ventilation and achieved the target light sedation goal at an early stage after being sedated with ciprofol or propofol. Methods All eligible ICU patients who were expected to require sedation for 6–24 h were randomly assigned in a 2:1 ratio to either a ciprofol or propofol group. Ciprofol or propofol was initially infused at loading doses of 0.5 or 1.0 mg/kg followed by maintenance doses of 0.3 or 1.5 mg/kg/h. Ciprofol or propofol dosages were adjusted up or down at rates of 0.05–0.10 mg/kg/h or 0.25–0.50 mg/kg/h, respectively, to achieve the target light sedation (a Richmond Agitation-Sedation Scale of -2 to + 1). The primary post-hoc outcome was the hypotension-free rate in patients who had achieved the target sedation goal after 30-min administration of ciprofol or propofol. Results In total, 174 patients were enrolled for pooled post-hoc analysis, of whom 116 and 58 were assigned to the ciprofol and propofol groups, respectively. The hypotension-free rate was significantly higher in patients who achieved the target sedation goal after 30-min administration of ciprofol (93.0% vs. 81.0%, P = 0.018), and especially in the subgroups of males and patients aged

Abstract Digital empowerment is a dynamic process of complementary digital technology and production factors and plays a critical role in achieving the dual carbon objectives of the carbon peak by 2030 and carbon neutrality by 2060. Here, we use the input-output method, employing panel data on environmental and social factors from 30 provincial-level regions in China from 2012 to 2021. We explore the impact of digital empowerment development on agricultural carbon dioxide emissions and underlying mechanisms. We found that the relationship between digital empowerment and carbon dioxide emissions is nonlinear and follows an inverted U-curve. The carbon dioxide emissions increase as digital empowerment increases and decrease when digital empowerment crosses the inflection point of 0.0862. Digital empowerment reduces agricultural carbon emissions by optimizing carbon-intensive factor inputs such as fertilizers and improving factor allocation efficiency. Our research provides evidence for policymakers to enable the promotion of digital empowerment of farmers across Chinese provinces.

Flexible bending sensors have emerged as a technology with significant potential for a wide range of applications, including human-machine interaction, healthcare monitoring, and soft robotics. This paper provides a comprehensive review of the working principles, performance evaluation, application areas, and future trends of flexible bending sensors. The challenges faced by these sensors, such as anti-interference, adaptive detection, and multidirectional sensing, are discussed, along with potential solutions and future developmental directions. The paper highlights the importance of materials development, structural design, and manufacturing processes in advancing flexible bending sensor technology. Overall, this review aims to provide valuable insights and guidance for further research and development in the field of flexible bending sensors.

Abstract The technique of extracting different distinguishing features by locating different part regions to achieve fine-grained visual classification (FGVC) has made significant improvements. Utilizing attention mechanisms for feature extraction has become one of the mainstream methods in computer vision, but these methods have certain limitations. They typically focus on the most discriminative regions and directly combine the features of these parts, neglecting other less prominent yet still discriminative regions. Additionally, these methods may not fully explore the intrinsic connections between higher-order and lower-order features to optimize model classification performance. By considering the potential relationships between different higher-order feature representations in the object image, we can enable the integrated higher-order features to contribute more significantly to the model’s classification decision-making capabilities. To this end, we propose a saliency feature suppression and cross-feature fusion network model (SFSCF-Net) to explore the interaction learning between different higher-order feature representations. These include (1) an object-level image generator (OIG): the intersection of the output feature maps of the last two convolutional blocks of the backbone network is used as an object mask and mapped to the original image for cropping to obtain an object-level image, which can effectively reduce the interference caused by complex backgrounds. (2) A saliency feature suppression module (SFSM): the most distinguishing part of the object image is obtained by a feature extractor, and the part is masked by a two-dimensional suppression method, which improves the accuracy of feature suppression. (3) A cross-feature fusion method (CFM) based on inter-layer interaction: the output feature maps of different network layers are interactively integrated to obtain high-dimensional features, and then the high-dimensional features are channel compressed to obtain the inter-layer interaction feature representation, which enriches the output feature semantic information. The proposed SFSCF-Net can be trained end-to-end and achieves state-of-the-art or competitive results on four FGVC benchmark datasets.

Abstract Accurate assessment of the mechanical properties of organic matter, clay matrix, and bulk shale during maturation remains a challenge. Here, we aim to assess the mechanical properties of organic-rich shale during maturation using a combination of nanoindentation methods and various geochemical analyses, i.e., mineral composition, mass loss rate, chemical structure of organic matter, and Rock-Eval analyses. Results show that the evolution of mechanical properties of organic matter in shale during maturation can be divided into: the main oil-generation stage, and the condensate oil and gas generation stage. The stiffening of organic matter in the shale is mainly due to increased aromaticity and condensation of aromatic groups. The clay matrix experiences a slight decrease in hardness and Young’s modulus at low maturity levels due to the generation of liquid hydrocarbons. However, overall, the clay matrix becomes stiffer as the shale matures due to shale dehydration, expulsion or cracking of liquid hydrocarbons, transformation of clay minerals, and hardening of organic matter. The Young’s modulus and hardness of bulk shale generally increase with increasing maturity. This is closely related to the hardening of organic matter and clay matrix, as well as the development of the more compact and dense microstructure in the shale.

Abstract Electrocatalytic C-N coupling from carbon dioxide and nitrate provides a sustainable alternative to the conventional energy-intensive urea synthetic protocol, enabling wastes upgrading and value-added products synthesis. The design of efficient and stable electrocatalysts is vital to promote the development of electrocatalytic urea synthesis. In this work, copper phthalocyanine (CuPc) is adopted as a modeling catalyst toward urea synthesis owing to its accurate and adjustable active configurations. Combining experimental and theoretical studies, it can be observed that the intramolecular Cu-N coordination can be strengthened with optimization in electronic structure by amino substitution (CuPc-Amino) and the electrochemically induced demetallation is efficiently suppressed, serving as the origination of its excellent activity and stability. Compared to that of CuPc (the maximum urea yield rate of 39.9 ± 1.9 mmol h−1 g−1 with 67.4% of decay in 10 test cycles), a high rate of 103.1 ± 5.3 mmol h−1 g−1 and remarkable catalytic durability have been achieved on CuPc-Amino. Isotope-labelling operando electrochemical spectroscopy measurements are performed to disclose reaction mechanisms and validate the C-N coupling processes. This work proposes a unique scheme for the rational design of molecular electrocatalysts for urea synthesis.

Abstract Objective Knee osteoarthritis is the most common osteoarthritis and imposes a significant burden on patients’ lives. Several treatment methods can promote cartilage repair to varying extents, but there are limited studies on the combined application of different treatments. The purpose of this study is to evaluate the clinical efficacy of microfracture combined with fibrinogen and platelet-rich plasma (PRP) under arthroscopic in treating knee osteoarthritis, so as to provide a basis for clinical treatment decisions. Method A total of 113 patients with knee osteoarthritis who received orthopedic treatment from January 2021 to June 2022 were selected. They were divided into two groups according to whether they received fibrinogen and PRP treatment in addition to microfracture treatment. The two groups were analyzed to compare the differences in knee joint function and quality of life at different points. Results The study compared changes in knee joint function scores and quality of life between the two groups after treatment and found that the quality of life of patients in the combined treatment group was significantly better than that of patients who received microfracture only (at 12-month follow-up, EuroQol-VAS scores were 64.32 ± 5.63 for the microfracture group (MFx) and 75.65 ± 8.57 for the fibrinogen combined with platelet-rich plasma-assisted microfracture group (FPRPA MFx); P = 0.015; at 24-month follow-up, EuroQol-VAS scores were 66.47 ± 5.18 for the MFx group and 79.40 ± 7.43 for the FPRPA MFx group, P = 0.022). There was also a strong correlation between patients’ quality of life and knee joint function score index (IKDC score correlation coefficient r=-0.375, Lysholm score correlation coefficient r = 0.497, MOCART score correlation coefficient r = 0.579, VAS score correlation coefficient r = 0.242, T2 value correlation coefficient r=-0.293, P

Abstract Background The aim of this study was to analyze the influence of the positioning of the components of total hip arthroplasty (THA) evaluated by the acetabular anteversion (AA) and femoral anteversion (FA) angle on postoperative gait in patients with symptomatic hip osteoarthritis secondary to hip dysplasia undergoing THA. Methods Between May 2023 and May 2024, patients with symptomatic hip osteoarthritis secondary to hip dysplasia (Crowe Type I and IV) who underwent THA were enrolled in the study. The AA angle and FA angle were measured by computer tomography (CT). Gait data were determined by using the Dynamic Right Gait & Posture analysis system. The relationship between FA, AA and gait data was analyzed by Pearson correlation test, subgroup Pearson correlation test, multiple linear regression. Results A total of 40 patients (45hips) were included in the study. Compared with preoperative, the patient’s postoperative foot progression angle, foot contact angle, plantarflexion velocity, swing foot speed, gait velocity, cadence, stride length were significantly improved. Preoperative FA is significantly different from postoperative FA (P

Abstract The family Pyralidae is a large and important group within the superfamily Pyraloidea, consisting of more than 5,900 described species. The rice moth Corcyra cephalonica is a noteworthy pest affecting stored grains and products. However, the absence of high-quality genomes hinders our comprehension of the ecology of C. cephalonica. Herein, we propose a chromosome-level genome of C. cephalonica achieved through integrating Nanopore, Illumina, and Hi-C reads. The genome of 453.37 Mb in size consists of 98 scaffolds and 154 contigs, with a scaffold N50 size of 16.67 Mb. The majority of contigs (99.36%, 450.45 Mb) were effectively anchored to 29 chromosomes. The BUSCO analysis of the assembly revealed a completeness of 99.0% (n = 1,367), identifying 98.6% single-copy BUSCO genes and 0.4% duplicated BUSCO genes. Furthermore, the genome contains 48.74% (220.96 Mb) repeat elements and encompasses 14,135 predicted protein-coding genes. This study offers a valuable genomic foundation for advancing our comprehension of the biology of C. cephalonica.

Abstract Stroke is a major cause of death and disability among adults in China, and an efficient rehabilitation strategy has been an urgent demand for post-stroke rehabilitation. The non-invasive brain stimulation (NBS) can modulate the excitability of the cerebral cortex and provide after-effects apart from immediate effects to regain extremity motor functions, whereas robotic therapy provides high-intensity and long-duration repetitive movements to stimulate the cerebral cortex backward. The combined strategy of the two techniques is widely regarded as a promising application for stroke patients with dyskinesia. Transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (TES) are important methods of NBS. Their recovery principles, stimulation parameters, and clinical applications have been summarized. The combined treatments of rTMS/tDCS and robotic therapy are analyzed and discussed to overcome the application barriers of the two techniques. The future development trend and the key technical problems are expounded for the clinical applications.

Abstract Background The root-associated microbiomes are crucial in promoting plant growth and development through symbiotic interactions with their hosts. Plants may shape their microbiomes by secreting specific root exudates. However, the potential mechanisms how plant species determine root exudates and drive microbiome assembly have been little studied. In this study, three wild tobaccos and one cultivated tobacco were used to investigate the commonalities and differences of both root-associated microbiomes and root exudates. Results Amplicon sequencing results suggested that tobacco species significantly affected microbial communities in both the rhizosphere and root endosphere, with the strongest impact on the fungal community in the root endosphere. The microbial networks of wild tobacco species were more stable than that of the cultivated tobacco, and fungal members played a more important role in the networks of wild tobacco species, while bacterial members did so in the cultivated tobacco. The rhizosphere bacteria of wild tobacco species showed a higher functional diversity than that of the cultivated tobacco, while the bacteria in the root endosphere presented a contrary pattern. Metabolomics analysis showed significant differences in the composition and abundance of root exudates among the four tobacco species, and the greatest difference was found between the three wild species and the cultivated one. Correlation analysis showed the strongest correlation between metabolites and rhizosphere bacteria, in which O-benzoic acid (2-methoxybenzoic acid) had the most positive correlations with rhizosphere bacteria, while β-ureidoisobutenoic acid had the most negative correlations with rhizosphere bacteria. The rhizosphere bacteria Streptomyces, Hydrophilus and Roseobacter had the strongest positive correlations with metabolites, and the rhizosphere bacterium Nitrobacter had the most negative correlations with metabolites. Conclusion This study revealed the differences of microbial communities and root exudates in the rhizosphere and root endosphere of four tobacco species, which can further improve our understanding of plant–microbiome interactions during crop domestication. Graphical Abstract

Abstract Background Inorganic polyphosphate (polyP)-targeted polyphosphate kinase 1 (PPK1) has attracted much attention by virtue of its importance in bacterial pathogenicity and persistence, as well as its exclusive presence in microorganisms. However, only very few drugs have been found to be efficacious in inhibiting the Acinetobacter baumannii (A. baumannii) PPK1 protein. Results In this study, we identified Scutellarein (Scu), a potent PPK1 inhibitor that could significantly influence PPK1-regulated motility, biofilm formation, and bacterial persistence, which was further validated by the results of transcriptome analysis. Mechanistic explorations revealed that Scu achieved its enzyme inhibitory activity predominantly through direct engagement with the active center of PPK1. Moreover, the survival rate of Galleria mellonella larvae was increased by about 35% with 20 mg/kg of Scu treatment. The remarkable therapeutic benefits of Scu were also observed in the mouse pneumonia model, shown mainly by reduced bacterial colonization, pathological lesions, and inflammatory factors. Conclusion Our results revealed that Scu could attenuate the pathogenicity and persistence of A. baumannii by interfering with its important kinase PPK1.

Lactic acid bacteria have the ability to reduce sodium selenite to selenium nanoparticles (SeNPs). To obtain SeNPs in a more environmentally friendly way, this study first explored the effects of selenium concentration in the medium, selenium addition time and cultivating duration on the synthesis of SeNPs by Lactobacillus acidophilus, followed by a study of the particle size, zeta potential and antibacterial activity of the SeNPs produced. The results showed that when the selenium content in the medium was 0~600 μg/mL, the higher the selenium concentration was, the more nano-selenium was obtained. When the selenium concentration in the medium was higher than 600 μg/mL, the content of SeNPs in the fermentation broth decreased. The addition of sodium selenite in the early logarithmic stage of bacterial growth was more conducive to the synthesis of SeNPs. After 32 h of culture, SeNPs were almost no longer synthesized. The analysis using scanning electron microscopy and particle size and zeta potential analyzer revealed that the SeNPs produced by L.acidophilus were spherical in shape. Ultrasound treatment contributed to their release. The SeNPs carried a negative charge, with an absolute potential value of 40~50 mV, and their particle size predominantly ranged from 170~210 nm, exhibiting good stability. The results of antibacterial experiments showed that the SeNPs produced by L.acidophilus had inhibitory effects on the growth of Escherichia coli, Salmonella, Staphylococcus aureus and Bacillus subtilis. In conclusion, L.acidophilus can transform sodium selenite into SeNPs, which have good antibacterial activity.

Abstract Background Poly (A) binding protein interacting protein 1 (PAIP1) has been shown to causally contribute to the development and progression of cancer. However, the mechanisms of the PAIP1 regulation in tumor cells remain poorly understood. Results Here, we used a recently developed UV cross-linking and RNA immunoprecipitation method (iRIP-seq) to map the direct and indirect interaction sites between PAIP1 and RNA on a transcriptome-wide level in HeLa cells. We found that PAIP1 not only binds to 3’UTRs, but also to pre-mRNAs/mRNAs with a strong bias towards the coding region and intron. PAIP1 binding sites are enriched in splicing enhancer consensus GA-rich motifs. RNA-seq analysis revealed that PAIP1 selectively modulates the alternative splicing of genes in some cancer hallmarks including cell migration, the mTOR signaling pathway and the HIF-1 signaling pathway. PAIP1-regulated alternative splicing events were strongly associated with PAIP1 binding, demonstrating that the binding may promote selection of the nearby splice sites. Deletion of a PAIP1 binding site containing seven repeats of GA motif reduced the PAIP1-mediated suppression of the exon 6 inclusion in a VEGFA mRNA isoform. Proteomic analysis of the PAIP1-interacted proteins revealed the enrichment of the spliceosome components and splicing factors. Conclusions These findings suggest that PAIP1 is both a polyadenylation and alternative splicing regulator, that may play a large role in RNA processing via its role in alternative splicing regulation.

Abstract With the global widespread preference for low-floor trams, the expectation for tram riding comfort has been increasingly heightened. This paper identifies an abnormal riding comfort problem (ARCP, characterized by an excessive and W-shaped distribution of riding comfort) during dynamic field tests on a low-floor tram. To address ARCP, a multi-body dynamics model of the tram was constructed and validated its accuracy through dynamic field tests. By integrating track irregularities and wheel-rail contact analysis, the riding comfort index was assessed and reproduced the ARCP phenomenon. Linearization and time-domain integration studies were conducted on the mechanisms and measures to resolve the ARCP. The research findings reveal that the primary cause of the deterioration in the mean comfort index is the large amplitude of the track irregularity and the low equivalent conicity of the wheel-rail contact relationship. The main reason for the W-shaped distribution of riding comfort is the weaker inter-vehicle constraints and the lack of lateral energy-absorbing devices. Finally, optimization measures were proposed, including reducing the lateral stiffness of the second suspension, altering the carbody structural parameters, and modifying the inter-vehicle connection devices. This research enriches the study of tram dynamic performance and offers insights that may contribute to the resolution of ARCP.

Abstract Background The objectives were to assess the safety and efficacy of drug-eluting bead transarterial chemoembolization (DEB-TACE) as locoregional therapy (LRT) in hepatocellular carcinoma (HCC) before liver transplantation (LT) beyond Hangzhou criteria (HC) and to analyze the prognostic factors. Methods Forty patients with HCC beyond HC who received DEB-TACE only before LT were retrospectively analyzed between January 2017 and December 2022. Data on patient demographics, disease characteristics, treatment response, and adverse events (AE) were collected. Overall survival (OS) and recurrence-free survival (RFS) were evaluated with Kaplan-Meier curves. Univariate and multivariate Cox regression analyses were performed to identify factors independently associated with RFS and OS. Results All patients successfully underwent LT following DEB-TACE with a mean interval of 2.3 months. The objective response rates (ORRs) for these patients following DEB-TACE was 82.5%. The primary AE was post-embolization syndrome (PES), with affected patients experiencing grades I and II. The median RFS and OS were 12.0 months (95%CI: 0.0-30.1) and 52.0 months (95%CI: 11.8–92.2) over the follow-up period until December 2022. The 2-year RFS and OS rates were 42.5%, and 67.5%. Multivariate analyses revealed Child-Pugh classification (HR = 6.24; 95%CI,1.83–21.24; P = 0.01) and macrovascular invasion (MAV) (HR = 3.89; 95%CI,1.07–14.15; P = 0.04) were both significant independent predictors of OS. Conclusions DEB-TACE can serve as a safe and effective LRT in HCC patients beyond HC before LT, and can improve the prognosis of patients, especially without MAV. The higher Child–Pugh classification and MAV are independent prognostic factors after LT.

Abstract Excessive glucocorticoid (GC) action is linked to various metabolic disorders. Recent findings suggest that disrupting skeletal GC signaling prevents bone loss and alleviates metabolic disorders in high-fat diet (HFD)-fed obese mice, underpinning the neglected contribution of skeletal GC action to obesity and related bone loss. Here, we show that the elevated expression of 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1), the enzyme driving local GC activation, and GC signaling in osteoblasts, are associated with bone loss and obesity in HFD-fed male mice. Osteoblast-specific 11β-HSD1 knockout male mice exhibit resistance to HFD-induced bone loss and metabolic disorders. Mechanistically, elevated 11β-HSD1 restrains glucose uptake and osteogenic activity in osteoblast. Pharmacologically inhibiting osteoblastic 11β-HSD1 by using bone-targeted 11β-HSD1 inhibitor markedly promotes bone formation, ameliorates glucose handling and mitigated obesity in HFD-fed male mice. Taken together, our study demonstrates that osteoblastic 11β-HSD1 directly contributes to HFD-induced bone loss, glucose handling impairment and obesity.

Abstract Early diagnosis and treatment of gastric cancer (GC) play a vital role in improving efficacy, reducing mortality and prolonging patients’ lives. Given the importance of early detection of gastric cancer, an electrochemical biosensor was developed for the ultrasensitive detection of miR-19b-3p by integrating MoS2-based nanozymes, hybridization chain reaction (HCR) with enzyme catalyzed reaction. The as-prepared MoS2-based nanocomposites were used as substrate materials to construct nanoprobes, which can simultaneously load probe DNA and HCR initiator for signal amplification. Moreover, the MoS2-based nanocomposites are also employed as nanozymes to amplify electrochemical response. The presence of miR-19b-3p induced the assembly of MoS2-based nanoprobes on the electrode surface, which can activate in-situ HCR reaction to load a large number of horseradish peroxidase (HRP) for signal amplification. Coupling with the co-catalytic ability of HRP and MoS2-based nanozymes, the designed electrochemical biosensor can detect as low as 0.7 aM miR-19b-3p. More importantly, this biosensor can efficiently analyze miR-19b-3p in clinical samples from healthy people and gastric cancer patients due to its excellent sensitivity and selectivity, suggesting that this biosensor has a potential application in early diagnosis of disease.

Abstract With the development of new technology for multiple energy applications, household appliances using electricity and other energy sources are becoming increasingly abundant. Users can freely choose the way of energy consumption based on the price of electricity and other energy sources. The phenomenon has become one of the important factors affecting real‐time pricing. This study considers real‐time pricing in the case of multiple energy coexistence on the user side. According to the spatiotemporal coupling of electricity and other energy sources and the relationship between other energy sources and total energy consumption, an optimization model that satisfies the actual situation is established. By using the relaxation theory and dual decomposition technology, a partially distributed algorithm is proposed for multi‐period coupling and finding the optimal energy scheduling scheme for the energy company and each user, so as to maximize social welfare. In addition, under the background of multiple energy coupling, real‐time pricing can guide users to adjust their electricity consumption behaviour vertically and horizontally, change the type of energy, meet energy demand for end users and effectively reduce the peak‐to‐average ratio. Simulation results verify the rationality of the model and the effectiveness of the algorithm.

Breast cancer is the most common cancer among women worldwide, and adjuvant radiotherapy (RT) following tumor removal is one of the most commonly used treatments for breast cancer. However, the high risk of tumor recurrence and inevitable radiation skin injury after RT remain fatal problems, seriously challenging the patient's postoperative rehabilitation. Herein, a multifunctional poly (lipoic acid)-based hydrogel is constructed through one-step heating the mixture of α-lipoic acid (LA)/arginine (Arg)/silk fibroin (SF), without introducing any non-natural molecules. The multiple synergistic interactions among LA, Arg, and SF not only enhance the solubilization of LA in aqueous systems but also stabilize poly(lipoic acid) through strong salt bridge hydrogen bonds and ionic hydrogen bonds. Intriguingly, the LA-based surfactant induced β-sheet transformation of SF can further modulate the bulk strength of the hydrogel. Regulating the content of LA in hydrogels not only allows efficient control of hydrogel bioactivity but also enables the evolution of hydrogels from injectable forms to adhesive patches. Based on the different biological activities and forms of hydrogels, they can be implanted internally or applied externally on the mice's skin, achieving simultaneous prevention of tumor recurrence post-surgery and assistance in treating radiation-induced skin damage after radiotherapy.

Objective: The aims of this study were to examine the effect of SARS-CoV-2 infection on cardiorespiratory fitness (CRF) and time-trial performance in vaccinated well-trained young kayak athletes. Methods: This is a longitudinal observational study. Sixteen (7 male, 9 female) vaccinated kayakers underwent body composition assessment, maximal graded exercise test, and 1000-m time-trial tests 21.9 ± 1.7 days before and 66.0 ± 2.2 days after the SARS-CoV-2 infection. The perception of training load was quantified with Borg's CR-10 scale before and after the infection return to sport period. Results: There were significant decreases in peak oxygen uptake (−9.7 %; effect size [ES] = 1.38), peak oxygen pulse (−5.7 %; ES = 0.96), and peak heart rate (−1.9 %; ES = 0.61). Peak minute ventilation, and minute ventilation/carbon dioxide production slope were unchanged after infection compared to the pre-infection values. In the entire 1000-m, the impaired tendencies were found in completion time, mean power, and mean speed (−2.4 to 1.2 %; small ESs = -0.40 to 0.47) as well as significant changes in stroke rate and stroke length (−4.5 to 3.7 %; ESs = -0.60 to 0.73). Conclusion: SARS-CoV-2 infection decreased CRF and time-trial performance even two months after return to regular training in vaccinated athletes.

Abstract The cortical development of our brains is in a hierarchical manner and promotes the emergence of large-scale functional hierarchy. However, under interindividual heterogenicity, how the spatiotemporal features of brain networks reflect brain development and mental health remains unclear. Here we collect both resting-state electroencephalography and functional magnetic resonance imaging data from the Child Mind Institute Biobank to demonstrate that during brain growth, the global dynamic patterns of brain states become more active and the dominant networks shift from sensory to higher-level networks; the individual functional network patterns become more similar to that of adults and their spatial coupling tends to be invariable. Furthermore, the properties of multimodality brain networks are sufficiently robust to identify healthy brain age and mental disorders at specific ages. Therefore, multimodality brain networks provide new insights into the functional development of the brain and a more reliable and reasonable approach for age prediction and individual diagnosis.

Abstract Background Adverse childhood experiences (ACEs) are known to be associated with depression. However, the extent to which such association varies by age at the first occurrence of ACEs remains unexplored. The objectives of this study are: (1) To describe the association between ACEs and depression among university students in China, and; (2) to assess the extent to which the mentioned association varied by age at first ACE. Methods We conducted a self-administered survey among university students in southern China and analyzed the data using descriptive statistics and multivariate logistic regression. Results We found significant associations between ACEs and depression prevalence, particularly when comparing students with three or more ACEs vs. students with no ACEs (62% vs. 36%; Adjusted OR = 3.49; 95% CI = 1.99, 6.12). Stratified analyses showed that the association was particularly strong among students who first experienced ACEs at age 0–6 years (66% vs. 36%; Adjusted OR = 4.05; 95% CI = 1.90, 8.59), but was non-significant among those who first experienced ACEs at age 13–18 years (31% vs. 36%; Adjusted OR = 0.99; 95 CI = 0.24, 4.08). Conclusion The strength of the associations between ACEs and depression varied by the age at first ACE. However, the cross-sectional study design, potential information bias, and lack of generalizability should be considered as caveats in the interpretation of the study findings.

Abstract Delta opioid receptor (δOR) plays a pivotal role in modulating human sensation and emotion. It is an attractive target for drug discovery since, unlike Mu opioid receptor, it is associated with low risk of drug dependence. Despite its potential applications, the pharmacological properties of δOR, including the mechanisms of activation by small-molecule agonists and the complex signaling pathways it engages, as well as their relation to the potential side effects, remain poorly understood. In this study, we use cryo-electron microscopy (cryo-EM) to determine the structure of the δOR-Gi complex when bound to a small-molecule agonist (ADL5859). Moreover, we design a series of probes to examine the key receptor-ligand interaction site and identify a region involved in signaling bias. Using ADL06 as a chemical tool, we elucidate the relationship between the β-arrestin pathway of the δOR and its biological functions, such as analgesic tolerance and convulsion activities. Notably, we discover that the β-arrestin recruitment of δOR might be linked to reduced gastrointestinal motility. These insights enhance our understanding of δOR’s structure, signaling pathways, and biological functions, paving the way for the structure-based drug discovery.

Abstract Objective To evaluate the impact of the residual setup errors from differently shaped region of interest (ROI) and investigate if surface-guided setup can be used in radiotherapy with concurrent tumor treating fields (TTFields) for glioblastoma. Methods Fifteen patients undergone glioblastoma radiotherapy with concurrent TTFields were involved. Firstly, four shapes of region of interest (ROI) (strip-shaped, T-shaped, $$\perp$$ ⊥ -shaped and cross-shaped) with medium size relative to the whole face were defined dedicate for patients wearing TTFields transducer arrays. Then, ROI-shape-dependent residual setup errors in six degrees were evaluated using an anthropomorphic head and neck phantom taking CBCT data as reference. Finally, the four types of residual setup errors were converted into corresponding dosimetry deviations (including the target coverage and the organ at risk sparing) of the fifteen radiotherapy plans using a feasible and robust geometric-transform-based method. Results The algebraic sum of the average residual setup errors in six degrees (mm in translational directions and ° in rotational directions) of the four types were 6.9, 1.1, 4.1 and 3.5 respectively. In terms of the ROI-shape-dependent dosimetry deviations, the D98% of PTV dropped off by (3.4 ± 2.0)% (p

Abstract In southern China, vegetation on exposed earthen sites serves not only to mitigate erosion but also alters their visual appearance, leading to biodeterioration. However, how plants influence the properties of earthen sites is virtually unknown. This study undertook an ecological investigation of the original habitat in the east city wall of the Sanxingdui site, analyzing its soil properties and investigating plant-soil interactions. Research findings indicate that existing plant communities are not conducive to biodiversity nor site presentation. Plants exert a direct influence within a vertical range extending 0–40 cm beneath the site; root content correlates negatively with soil pH value but positively with organic matter content. The herbaceous community (E-2 and E-3) exhibits higher clay content than the arbor community (E-1) within this range. The above conclusions exhibit statistical significance. This study offers a scientific elucidation of the ecological parameters governing plant communities concerning the conservation of earthen sites, and provides an initial influence range of plant communities and biodegradation on the east city wall of the Sanxingdui sites, thereby revealing the technical potential for employing plants as a soft capping for earthen sites in the open air from the function method.

Abstract The continuous generation of multi-omics and phenotype data is propelling advancements in precision oncology. UCSCXenaShiny was developed as an interactive tool for exploring thousands of cancer datasets available on UCSC Xena. However, its capacity for comprehensive and personalized pan-cancer data analysis is being challenged by the growing demands. Here, we introduce UCSCXenaShiny v2, a milestone update through a variety of improvements. Firstly, by integrating multidimensional data and implementing adaptable sample settings, we create a suite of robust TPC (TCGA, PCAWG, CCLE) analysis pipelines. These pipelines empower users to conduct in-depth analyses of correlation, comparison, and survival in three modes: Individual, Pan-cancer and Batch screen. Additionally, the tool includes download interfaces that enable users to access diverse data and outcomes, several features also facilitate the joint analysis of drug sensitivity and multi-omics of cancer cell lines. UCSCXenaShiny v2 is an open-source R package and a web application, freely accessible at https://github.com/openbiox/UCSCXenaShiny .

Highlights A smart all-cellulose Janus fabric was designed for personal moisture/thermal management. The fabric can dynamically and continuously control the liquid transportation time in response to the temperature. The fabric can accelerate the heat dissipation rate at high temperatures, while slow it down at low temperatures.

Abstract Background The increasing incidence of diabetes mellitus has established diabetic cataracts (DC) as a significant worldwide public health issue. The mechanisms underlying DC remain unknown, and effective prevention and treatment strategies are lacking. Accordingly, we aimed to explore the role and mechanism behind N6-methyladenosine (m6A) in DC progression. Methods Methyltransferase-like 3 (METTL3), p21, Beclin1, LC3, and p62 expression levels were measured in human tissues. This study assessed total m6A levels and common m6A-regulated biomarkers in both in vitro and in vivo DC models. Autophagy flux was detected in vitro through Ad-mCherry-GFP-LC3B and Monodansylcadaverine (MDC) staining. Cellular senescence was assessed utilizing the senescence-associated β-galactosidase (SA-β-Gal) assay. Furthermore, the effect of METTL3 on SIRT1 mRNA modification was demonstrated, and its mechanism was elucidated using RT-qPCR, western blot, RNA stability assays, and RIP analysis. Results METTL3, p21, and p62 expression levels were elevated in lens epithelial cells (LECs) from DC patients, while Beclin1 and LC3 levels were reduced. Silencing METTL3-mediated m6A modifications restored high-glucose-induced autophagy inhibition and prevented premature senescence in LECs. Notably, SIRT1720 and Metformin significantly enhanced autophagosome generation and delayed cellular senescence. The m6A-reading protein YTHDF2 bound to m6A modifications, and YTHDF2 silencing significantly reduced METTL3-mediated SIRT1 inactivation. Conclusions METTL3 induces senescence in DC by destabilizing SIRT1 mRNA in an m6A-YTHDF2-dependent manner. The METTL3-YTHDF2-SIRT1 axis is a key target and potential pathogenic mechanism in DC.

Abstract Background Magnetic Resonance Imaging (MRI) is extensively utilized in clinical diagnostics and medical research, yet the imaging process is often compromised by noise interference. This noise arises from various sources, leading to a reduction in image quality and subsequently hindering the accurate interpretation of image details by clinicians. Traditional denoising methods typically assume that noise follows a Gaussian distribution, thereby neglecting the more complex noise types present in MRI images, such as Rician noise. As a result, denoising remains a challenging and practical task. Method The main research work of this paper focuses on modifying mask information based on a global mask mapper. The mask mapper samples all blind spot pixels on the denoised image and maps them to the same channel. By incorporating perceptual loss, it utilizes all available information to improve performance while avoiding identity mapping. During the denoising process, the model may mistakenly remove some useful information as noise, resulting in a loss of detail in the denoised image. To address this issue, we train a generative adversarial network (GAN) with adaptive hybrid attention to restore the detailed information in the denoised MRI images. Result The two-stage model NRAE shows an improvement of nearly 1.4 dB in PSNR and approximately 0.1 in SSIM on clinical datasets compared to other classic models. Specifically, compared to the baseline model, PSNR is increased by about 0.6 dB, and SSIM is only 0.015 lower. From a visual perspective, NRAE more effectively restores the details in the images, resulting in richer and clearer representation of image details. Conclusion We have developed a deep learning-based two-stage model to address noise issues in medical MRI images. This method not only successfully reduces noise signals but also effectively restores anatomical details. The current results indicate that this is a promising approach. In future work, we plan to replace the current denoising network with more advanced models to further enhance performance.

With large-scale distributed photovoltaic (DPV) access to the distribution network, the problems of node voltage overruns and increased network losses, as well as the traditional centralized control with low reliability, high computational and communication pressure, and poor scalability, can no longer meet the requirements of distribution network operation and control in the context of the increasing DPV penetration. To this end, a collaborative optimal control strategy for PV distribution networks based on distributed model predictive control (DMPC) is proposed for fast recovery of voltage overruns and reduction of network losses. Firstly, based on the analysis of voltage overruns in distribution networks containing distributed PV, a voltage control model of the PV system is established and a distributed model predictive controller is designed. The controller solves for the control quantities of each region through the state and prediction information in the system, while considering the coupling information of adjacent control regions to achieve the cooperative optimization of the control objectives. Secondly, the distributed PV active and reactive power output constraints as well as capacity limitations are considered, and the objective function is transformed into a quadratic constrained quadratic programming (QCQP) problem to solve the control commands to achieve the optimal control of the PV distribution network. Finally, the effectiveness and applicability of the proposed optimal control strategy are verified through the simplified topology of actual distribution lines in a region of Gansu Province as an example simulation.

Abstract Background Parasitic diseases remain a serious public health problem in China. Health education aimed at disseminating health-related knowledge and promoting healthy behaviours, plays a crucial role in the prevention and control of parasitic diseases. This study aims to develop a tool to measure the parasitic disease health literacy of residents in China. Methods Scale development was based on qualitative and quantitative methods. Qualitative method included focus group discussions and Delphi consultations. A methodological design with multistage sampling and a pilot study was used to evaluate the questionnaire. The scale’s reliability was tested using Cronbach’s α and split-half reliability, while its construct validity was assessed using confirmatory factor analysis. The scale’s passing score was determined using the receiver operating characteristic curve. A cross-sectional survey was conducted in six districts of the prefecture of Jiangsu and residents aged 14–69 years in the participating townships were randomly selected based on their location. Results The health literacy indicator system for parasitic diseases included 3 first-level, 9 s-level and 23 third-level indicators. The 23-item questionnaire demonstrated good internal consistency (Cronbach’s alpha = 0.774) and split-half reliability (Spearman-Brown coefficient = 0.778). The questionnaire’s passing score was 60. A total of 990 valid questionnaires were collected from participants in three cities. The percentage of participants with health literacy regarding parasitic diseases was 15.8%. Their scores were influenced by age, income, employment, and educational level. Conclusions Health literacy of parasitic diseases is an integrated indicator rather than just knowledge or behavior information. The correlation between knowledge and behavior is weak. The capacity for healthy behavior of parasitic disease is associated with the location and culture of the city. For neglected diseases, it is important for people to talk positively about their behaviors with a doctor.

Abstract Background Understanding the impact of environmental factors on physical activity (PA) and physical fitness (PF) is crucial for promoting a healthy lifestyle among children and adolescents. This study examines how awareness of sports policies, school, family, and community environments influence PA and PF in Chinese youth. Methods A cross-sectional study was conducted with 2747 children and adolescents (mean age 12.90 ± 2.49; 48.2% male) from 17 schools across five Chinese cities. Environmental factors were assessed via questionnaires, and PA levels were measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). PF metrics, including BMI, waist-to-height ratio, grip strength, vertical jump, and 20-m shuttle run test (20-mSRT), were measured onsite. Structural Equation Modeling (SEM) was used to explore relationships between environmental factors and PA/PF outcomes. Results The school environment scored highest (78.0 ± 9.5), while the community environment scored lowest (38.7 ± 18.0). Family environment positively influenced low-intensity PA (LPA) (β = 0.102, P

Abstract Investigate the impact of remnant cholesterol (RC) levels on carotid artery intima thickness (CIT) in type 2 diabetes mellitus (T2DM) patients. From September 2021 to September 2023, a prospective multicenter study involved 158 T2DM patients. They were divided into a higher RC group (n = 80) and a lower RC group (n = 78) based on median RC levels. Additionally, 92 healthy volunteers served as the control group. CIT, carotid media thickness (CMT), and carotid intima-media thickness (CIMT) were measured. General clinical data, lab results, CIMT, CIT, and CMT differences among the three groups were compared. Multiple regression analysis explored CIT factors in T2DM patients. 1. No significant sex, age, BMI, high-density lipoprotein cholesterol (HDL-C), T2DM duration, fasting blood glucose, or glycated hemoglobin differences were found among the groups (p > 0.05). 2. CIMT and CIT were significantly higher in T2DM than the control group (p 0.05). Multiple linear regression analysis showed RC as an influencing CIT factor in T2DM patients (β = 0.473, p = 0.005). CIT is significantly thicker in T2DM patients with higher RC than in those with lower RC, and RC is the influence factor of CIT, which suggests that more attention should be paid to the detection of RC in T2DM patients.

Abstract Hydrogels, provided that they integrate strength and toughness at desired high content of water, promise in load-bearing tissues such as articular cartilage, ligaments, tendons. Many developed strategies impart hydrogels with some mechanical properties akin to natural tissues, but compromise water content. Herein, a strategy deprotonation-complexation-reprotonation is proposed to prepare polyvinyl alcohol hydrogels with water content as high as ~80% and favorable mechanical properties, including tensile strength of 7.4 MPa, elongation of around 1350%, and fracture toughness of 12.4 kJ m−2. The key to water holding yet improved mechanical properties lies in controllable nucleation for refinement of crystalline morphology. With nearly constant water content, mechanical properties of as-prepared hydrogels are successfully tailored by tuning crystal nuclei density via deprotonation degree and their distribution uniformity via complexation temperature. This work provides a nucleation concept to design robust hydrogels with desired water content, holding implications for practical application in tissue engineering.