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Abstract Digital transformation in the architecture industry encounters challenges such as data silos within design stages, between design and construction, and across the entire industry chain, including BIM and project management. This study introduces a pioneering approach for seamlessly integrating building information modeling (BIM) and product lifecycle management (PLM) within the management framework and collaborative workflows of architectural design and construction. The proposed methodology was implemented in two major projects, namely, the Wuhan Next-Generation Weather Radar Construction Project and the Hubei Center for Disease Control and Prevention Comprehensive Capacity Enhancement Project (Phase I), with the former being China’s first end-to-end digitally integrated construction project. Compared with traditional projects, these implementations achieved improvements of 24.39% and 38.04%, respectively, in objective function values. The findings highlight the unique advantages of BIM–PLM integration in optimizing lifecycle management, enhancing cross-disciplinary, cross-enterprise, and cross-regional collaboration, improving project design efficiency and quality, and reducing costs and waste. This integration provides valuable insights into the digital advancement of the construction industry.

Abstract The interaction of microalgae on the reinforced concrete with corrosion inhibitor is not well understood. Moreover, the inhibition role of microalgae on corrosion has been reported in recent years. In this study, the corrosion inhibition behavior of Q235 carbon steel (CS) due to the presence of Chlorella sp. and benzotriazole (BTA) in alkaline artificial seawater was investigated by means of weight loss, electrochemical measurements including open circuit potential, electrochemical impedance spectroscopy, and potentiodynamic polarization curves, and surface analysis including scanning electron microscopy, energy dispersion spectrometer, and X-ray photoelectron spectroscopy. The results of reduced corrosion rates in the algae-BTA system demonstrated that Chlorella sp. could facilitate the corrosion inhibition efficiency of BTA on the CS specimens. Moreover, polarization measurement showed the algae-BTA system had a mixed-type corrosion inhibition effect. The mechanisms of inhibition were proposed to be the precipitation of iron complexes such as Fe-BTA-EPS and Fe-BTA and iron compounds on the steel surface in the presence of the microalgae and BTA–. This study highlights the application of CS corrosion control by combining biological and chemical approaches that can be used for future research and practice, rather than purely chemical approaches.

Abstract The immiscibility of hydrogen-helium mixture under the temperature and pressure conditions of planetary interiors is crucial for understanding the structures of gas giant planets (e.g., Jupiter and Saturn). While the experimental probe at such extreme conditions is challenging, theoretical simulation is heavily relied in an effort to unravel the mixing behavior of hydrogen and helium. Here we develop a method via a machine learning accelerated molecular dynamics simulation to quantify the physical separation of hydrogen and helium under the conditions of planetary interiors. The immiscibility line achieved with the developed method yields substantially higher demixing temperatures at pressure above 1.5 Mbar than earlier theoretical data, but matches better to the experimental estimate. Our results suggest a possibility that H-He demixing takes place in a large fraction of the interior radii of Jupiter and Saturn, i.e., 27.5% in Jupiter and 48.3% in Saturn. This indication of an H-He immiscible layer hints at the formation of helium rain and offers a potential explanation for the decrease of helium in the atmospheres of Jupiter and Saturn.

ObjectiveTo analyze the hemagglutinin variation and the genetic evolution of A(H1N1)pdm09 influenza virus in Huzhou City, 2023.MethodsRespiratory tract specimens from two influenza monitoring hospitals were collected for the isolation of A(H1N1)pdm09 influenza virus and HA genome sequencing. MEGA 7.0 and BioAider were utilized to analyze genetic similarity, genetic evolution, antigen mutation sites, receptor binding sites, pathogenicity, and potential glycosylation sites of the influenza virus sequencing results.ResultsThe nucleotide and amino acid similarities between the 25 A(H1N1)pdm09 strains and the vaccine strain A/Wisconsin/67/2022 were 98.41% to 99.22% and 98.41% to 99.36%, respectively. These strains belonged to the 6B.1A.5a.2a evolutionary lineage. Notably, there were 19 amino acid variations in the HA protein, including substitutions of S137P and R142K in the epitope Ca2 cluster. Additionally, seven potential glycosylation sites were found in the HA protein, and no new or missing sites were observed in the 25 A(H1N1)pdm09 influenza virus isolates compared to the vaccine strains. Furthermore, no multiple continuous alkaline amino acids were detected in the HA cleavage site of the 25 isolates.ConclusionThe A(H1N1)pdm09 pandemic strain in 2023 closely matches the vaccine strain, indicating good protection against the currently circulating A(H1N1)pdm09 influenza virus. The circulating A(H1N1)pdm09 strain in Huzhou is characterized as a low-pathogenic influenza virus.

ABSTRACT Importance Aicardi–Goutières syndrome (AGS) is a rare genetic disorder mainly affecting the central nervous system and autoimmunity. However, research on AGS among Chinese patients is limited. Objective To summarize the neurologic phenotypes and genetic causes in pediatric AGS patients, providing insights for early recognition and diagnosis in the Chinese population. Methods Clinical features and neuroimaging results of the patients diagnosed with AGS from Beijing Children's Hospital between January 2018 and January 2022 were collected. Whole exome sequencing was used for genetic analysis. Results A total of 15 patients was included, all presenting with various neurological symptoms, including developmental delay (100%), motor skill impairment (100%), language disability (78.6%), dystonia (93.3%), microcephaly (73.3%), sleep disorders (26.7%), regression (20.0%), vessel disease (6.7%), and epilepsy (6.7%). Neuroimaging revealed intracranial calcification (86.7%), cerebral atrophy (73.3%), and leukodystrophy (73.3%). Seven genes were identified, with TREX1 being the most common (40.0%, 6/15), followed by IFIH1 (20.0%, 3/15). Variant c.294dupA (p.C99Mfs*3) was detected in four unrelated patients, accounting for 66.7% (4/6) patients with the TREX1 variant. A literature review showed that TREX1 gene mutations in 35.6% (21/59) of AGS patients among the Chinese population. Interpretation Neurological symptoms are the most prevalent and severe presentation of AGS. Diagnosis may be considered when symptoms such as developmental delay, dystonia, microcephaly, brain calcification, and leukodystrophy emerge. TREX1 mutations are predominant in the Chinese population.

Abstract Background Glioma is a common tumor that occurs in the brain and spinal cord. Hypoxia is a crucial feature of the tumor microenvironment. Tumor-associated macrophages/microglia play a crucial role in the advancement of glioma. This study aims to illuminate the detailed mechanisms by which hypoxia regulates microglia and, consequently, influences the progression of glioma. Methods The glioma cell viability and proliferation were analyzed by cell counting kit-8 assay and 5-ethynyl-2’-deoxyuridine assay. Wound healing assay and transwell assay were implemented to detect glioma cell migration and invasion, respectively. Enzyme-linked immunosorbent assay was conducted to detect protein levels in cell culture medium. The protein levels in glioma cells and tumor tissues were evaluated using western blot analysis. The histological morphology of tumor tissue was determined by hematoxylin-eosin staining. The protein expression in tumor tissues was determined using immunohistochemistry. Human glioma xenograft in nude mice was employed to test the influence of hypoxic microglia-derived interleukin-1beta (IL-1β) and heparanase (HPSE) on glioma growth in vivo. Results Hypoxic HMC3 cells promoted proliferation, migration, and invasion abilities of U251 and U87 cells by secreting IL-1β, which was upregulated by hypoxia-induced activation of hypoxia inducible factor-1alpha (HIF-1α). Besides, IL-1β from HMC3 cells promoted glioma progression and caused activation of nuclear factor-κB (NF-κB) and upregulation of HPSE in vivo. We also confirmed that IL-1β facilitated HPSE expression in U251 and U87 cells by activating NF-κB. Hypoxic HMC3 cells-secreted IL-1β facilitated the proliferation, migration, and invasion of U251 and U87 cells via NF-κB-mediated upregulation of HPSE expression. Finally, we revealed that silencing HPSE curbed the proliferation and metastasis of glioma in mice. Conclusion Hypoxia-induced activation of HIF-1α/IL-1β axis in microglia promoted glioma progression via NF-κB-mediated upregulation of HPSE expression.

Construction of disaster-resilient cities has attracted considerable attention. However, traditional methods of studying urban disaster resilience through experimental approaches are often constrained by various limitations, such as testing sites, costs and ethical considerations. To address these constraints, this paper proposes incorporating digital twin concepts into urban disaster resilience research. By establishing a connection between the physical realm of the city and its virtual counterpart, this approach utilizes digital simulations to overcome the limitations of experimental methods and enables dynamic deduction and control of the disaster process. This paper delves into three key aspects encompassing the acquisition of data from reality to the virtual space, disaster simulation within the virtual space, and translation of virtual insights into effective disaster prevention strategies in reality. It provides a comprehensive summary of relevant research endeavors from the authors’ research group and showcases the effectiveness and potential of the proposed techniques. These findings serve as references for pre-disaster planning, real-time emergency assessments, post-disaster rescue operations, and accident investigations for buildings and cities.

Abstract Phase transition is a fundamental phenomenon in condensed matter physics, in which states of matter transform to each other with various critical behaviors under different conditions. The magnetic martensitic transformation features significant multi‐caloric effects that benefit the solid‐state cooling or heat pumping. Meanwhile, the electronic topological transition (ETT) driven by pressure has been rarely reported in martensitic systems. Here, the modulation effects of hydrostatic pressure on phase transitions in a magnetic martensitic alloy are reported. Owing to the huge volume expansion during the transition, the martensitic transition temperature is driven from 339 to 273 K by pressure within 1 GPa, resulting in highly tunable giant baro‐ and magneto‐caloric effects (BCE and MCE) in a wide working temperature range. Interestingly, an ETT is further induced by pressure in the martensite phase, with a sudden drop of the measured saturation magnetization around 0.6 GPa. First‐principles calculations reveal a sharp change in the density of states (DOS) due to the orbit shift around the Fermi level at the same pressure and reproduce the experimental observation of magnetization. Besides, the ETT is accompanied by remarkable changes in the lattice parameters and the unit‐cell orthorhombicity. The study provides insight into pressure‐modulated exotic phase‐transition phenomena in magnetic martensitic systems.

Abstract Background Chronic endometritis (CE) is associated with poor reproductive outcomes, yet the role of endometrial microbiota in patients with recurrent implantation failure (RIF) and CE remains unclear. This study aims to characterize endometrial microbiota in RIF patients with CE and assess its implications for reproductive outcomes. Methods In this prospective study, we enrolled RIF patients both with and without CE. Endometrial and cervical samples were collected for 16 S rRNA gene sequencing. Microbiota composition was compared between groups using diversity indices, phylum, and genus-level analysis. Canonical correlation analysis (CCA) and Spearman’s correlation coefficients were used to assess relationships between CE, reproductive outcomes, and microbiota. Predictive functional profiling was performed to evaluate metabolic pathways associated with CE. Results Endometrial microbiota in CE patients exhibited greater diversity and evenness compared to non-CE patients. Principal coordinates analysis (PCoA) revealed distinct clustering between CE and non-CE groups. Linear discriminant analysis (LDA) identified Proteobacteria, Aminicenantales, and Chloroflexaceae as characteristic of CE, while Lactobacillus, Acinetobacter, Herbaspirillum, Ralstonia, Shewanela, and Micrococcaceae were associated with non-CE. CCA demonstrated associations between CE, adverse reproductive outcomes, and specific bacterial taxa. Microbial metabolic pathways significantly differed between CE and non-CE groups, with enrichment in pathways related to cofactors, vitamins, secondary metabolites, and the immune system in CE patients. Conclusion RIF patients with CE exhibit distinct endometrial microbiota compositions associated with adverse reproductive outcomes. The increased microbial diversity and altered metabolic pathways in CE suggest a potential correlation with reproductive outcomes, although further studies are necessary to elucidate the causal relationship between microbiota alterations and fertility. Modulating the endometrial microbiome may represent a novel therapeutic strategy to improve IVF outcomes in patients with CE.

There are a large number of overlapping coal and natural gas resources in China, and due to the requirement of resource extraction efficiency, a large number of overlapping coal and natural gas resources need to be extracted synchronously in the same time and space, and the traditional coal and natural gas extraction theories and technologies are difficult to meet the technical problems arising from coordinated extraction, and the process of coordinated extraction of coal and natural gas has been seriously constrained. Based on this, a scientific definition of coal and natural gas synergistic mining is made based on the overlapping coal and natural gas resources in China, and the existing coal and natural gas mining technologies and related theories are summarised. We have established the near-field rock mechanics theory of natural gas wells, the coupled damage theory of natural gas near-field surrounding rock, the coupled damage theory of “surrounding rock-cement ring-casing”, and the coupled damage theory of vertical surrounding rock of coal and natural gas synergistic mining, which reveal the coupled damage mechanism of surrounding rock of coal and natural gas synergistic mining, and provide a theoretical basis for the construction of the technology system of coal and natural gas. It provides a theoretical basis for the construction of coal and natural gas technology system. The three technologies of “Coal and Natural Gas Cooperative Mining Technology”, “Coal Mining through Abandoned Wells Technology” and “Natural Gas Near-Field Small Coal Pillar Retention Technology” are proposed, as well as the “Coal and Natural Gas Cooperative Mining Zoning Planning Technology”. Three major systems, namely, “Coal and Natural Gas Cooperative Mining Zoning Planning System”, “Transparent Geological and Production Information Dynamic Monitoring System” and “Coal and Natural Gas Cooperative Zone Safety Monitoring and Evaluation System”, provide technical support for coal and natural gas cooperative mining, and improve the safety of coal and natural gas production. This system provides technical support for the synergistic mining of coal and natural gas and improves the mining efficiency of coal and natural gas resources. On this basis, the theoretical and technological system of coal and natural gas synergistic mining is constructed, the future research focus of coal and natural gas synergistic mining is clarified, and the technological path and research direction for the safe, green and high-efficiency synergistic mining of coal and natural gas resources in China are proposed.

Abstract Macroautophagy is a process that cells engulf cytosolic materials by autophagosomes and deliver them to lysosomes for degradation. The biogenesis of autophagosomes requires ATG2 as a lipid transfer protein to transport lipids from existing membranes to phagophores. It is generally believed that endoplasmic reticulum is the main source for lipid supply of the forming autophagosomes; whether ATG2 can transfer lipids from other organelles to phagophores remains elusive. In this study, we identified a new ATG2A-binding protein, ANKFY1. Depletion of this endosome-localized protein led to the impaired autophagosome growth and the reduced autophagy flux, which largely phenocopied ATG2A/B depletion. A pool of ANKFY1 co-localized with ATG2A between endosomes and phagophores and depletion of UVRAG, ANKFY1 or ATG2A/B led to reduction of PI3P distribution on phagophores. Purified recombinant ANKFY1 bound to PI3P on membrane through its FYVE domain and enhanced ATG2A-mediated lipid transfer between PI3P-containing liposomes. Therefore, we propose that ANKFY1 recruits ATG2A to PI3P-enriched endosomes and promotes ATG2A-mediated lipid transfer from endosomes to phagophores. This finding implicates a new lipid source for ATG2A-mediated phagophore expansion, where endosomes donate PI3P and other lipids to phagophores via lipid transfer.

Objective: The purpose of this study was to determine the analgesic effect of a flurbiprofen ester injection via continuous intravenous drip during transvaginal 4-dimensional hysterosalpingography (TVS 4D-HyCoSy). Methods: Two hundred thirty patients who underwent TVS 4D-HyCoSy for infertility from May 2018 to August 2021 at our hospital were selected. The participants were grouped based on tubal patency, flurbiprofen ester use, and uterine cannula diameter, as follows: bilateral tubal patency group; non-bilateral tubal patency group; atropine group; atropine + flurbiprofen ester group; coarse tube group; and fine tube group. The analgesic effect during TVS 4D-HyCoSy and pain relief were compared between groups using visual analog scoring (NRS). Additionally, the incidence of adverse effects was recorded and factors related to the influence of pain were analyzed. Results: 1. Tubal patency reduced pain during ultrasound tubal examination, flurbiprofenate provided significant analgesia after ultrasound tubalography and reduced adverse effects (P < 0.001). 2. The tube diameter thickness had no effect on tubal ultrasonography procedure-related pain. 3. Multivariable analysis of pain relief during imaging suggested that the use of flurbiprofen for bilateral tubal patency had a significant positive effect on pain relief within 30 min after the examination with an AUC of 0.732 (95% CI: 0.665–0.798). Conclusion: A flurbiprofen ester continuous intravenous drip had a good analgesic effect in patients with TVS 4D-HyCoSy. Specifically, the pain relief effect after examination was significant and reduced the incidence of adverse reactions during the contrast examination. Flurbiprofen ester can be administered independently and is worthy of clinical promotion and application.

Abstract Therapeutic mRNA vaccines have become powerful therapeutic tools for severe diseases, including infectious diseases and malignant neoplasms. mRNA vaccines encoding tumor‐associated antigens provide unprecedented hope for many immunotherapies that have hit the bottleneck. However, the application of mRNA vaccines is limited because of biological instability, innate immunogenicity, and ineffective delivery in vivo. This study aims to construct a novel mRNA vaccine delivery nanosystem to successfully co‐deliver a tumor‐associated antigen (TAA) encoded by the Wilms' tumor 1 (WT1) mRNA. In this system, named PSB@Nb1.33C/mRNA, photosynthetic bacteria (PSB) efficiently delivers the iMXene‐WT1 mRNA to the core tumor region using photo‐driven and hypoxia‐driven properties. The excellent photothermal therapeutic (PTT) properties of PSB and 2D iMxene (Nb1.33C) trigger tumor immunogenic cell death, which boosts the release of the WT1 mRNA. The released WT1 mRNA is translated, presenting the TAA and amplifying immune effect in vivo. The designed therapeutic strategy demonstrates an excellent ability to inhibit distant tumors and counteract postsurgical lung metastasis. Thus, this study provides an innovative and effective paradigm for tumor immunotherapy, i.e., photo‐immunogene cancer therapy, and establishes an efficient delivery platform for mRNA vaccines, thereby opening a new path for the wide application of mRNA vaccines.

Understanding the differences in mechanical properties and damage characteristics of granitoid under high temperatures is crucial for exploring deep geothermal resources. This study analyzes the evolution of the acoustic emission (AE) characteristics and mechanical parameters of granodiorite and granite after heating and water cooling by uniaxial compression and variable-angle shear tests under different temperature gradients. We identify their changes in mesostructure and mineral composition with electron probe microanalysis and scanning electron microscopy. Results show that these two hot dry rocks have similar diagenetic minerals and microstructure, but show significantly different mechanical and acoustic characteristics, and even opposing evolution trends in a certain temperature range. At the temperatures ranging from 100 °C to 500 °C, the compressive and shear mechanical properties of granodiorite switch repeatedly between weakening and strengthening, and those of granite show a continuous weakening trend. At 600 °C, both rocks exhibit a deterioration of mechanical properties. The damage mode of granite is characterized by initiating at low stress, exponential evolutionary activity, and intensified energy release. In contrast, granodiorite exhibits the characteristics of initiating at high stress, volatile evolutionary activity, and intermittent energy release, due to its more stable microstructure and fewer thermal defects compared to granite. As the temperature increases, the initiation and propagation of secondary cracks in granodiorite are suppressed to a certain extent, and the seismicity and brittleness are enhanced. The subtle differences in grain size, microscopic heterogeneity, and mineral composition of the two hot dry rocks determine the different acoustic-mechanical characteristics under heating and cooling, and the evolution trends with temperature. These findings are of great significance for the scientific and efficient construction of rock mass engineering by rationally utilizing different rock strata properties.

Background: Foot kinematics, such as excessive eversion and malalignment of the hindfoot, are believed to be associated with running-related injuries. The majority of studies to date show that different foot strike patterns influence these specific foot and ankle kinematics. However, technical deficiencies in traditional motion capture approaches limit knowledge of in vivo joint kinematics with respect to rearfoot and forefoot strike patterns (RFS and FFS, respectively). This study uses a high-speed dual fluoroscopic imaging system (DFIS) to determine the effects of different foot strike patterns on 3D in vivo tibiotalar and subtalar joints kinematics. Methods: Fifteen healthy male recreational runners underwent foot computed tomography scanning for the construction of 3-dimensional models. A high-speed DFIS (100 Hz) was used to collect 6 degrees of freedom kinematics for participants’ tibiotalar and subtalar joints when they adopted RFS and FFS in barefoot condition. Results: Compared with RFS, FFS exhibited greater internal rotation at 0%–20% of the stance phase in the tibiotalar joint. The peak internal rotation angle of the tibiotalar joint under FFS was greater than under RFS (p < 0.001, Cohen's d = 0.92). RFS showed more dorsiflexion at 0%–20% of the stance phase in the tibiotalar joint than FFS. RFS also presented a larger anterior translation (p < 0.001, Cohen's d = 1.28) in the subtalar joint at initial contact than FFS. Conclusion: Running with acute barefoot FFS increases the internal rotation of the tibiotalar joint in the early stance. The use of high-speed DFIS to quantify the movement of the tibiotalar and subtalar joint was critical to revealing the effects of RFS and FFS during running.

Objective: The aim of this study was to analyze the ultrasound and MRI features of eight patients with cervical large-cell neuroendocrine carcinoma to improve awareness of this disease among sonographers, radiologists, and clinicians. Methods: Clinical data for eight patients with cervical large-cell neuroendocrine carcinoma confirmed by pathology at Sun Yat-sen Memorial Hospital of Sun Yat-sen University between February 2018 and April 2021 were retrospectively analyzed according to clinical, conventional ultrasound, contrast-enhanced ultrasound, and MRI characteristics. Results: Conventional ultrasound examination of the cervical large-cell neuroendocrine carcinoma lesions in the eight patients revealed two features: (1) irregular hypoechoic areas in the muscular layer, with slightly hyperechoic inlay streaks, and poorly delineated lesions, and (2) slightly abundant blood flow distribution in the lesions. The contrast-enhanced ultrasound showed a “fast-in and fast-out” mode; after subsidence, a “fence-like” change was observed, and the enhancement range was significantly greater than the range of two-dimensional ultrasound. In MRI, T1WI showed a low signal or isosignal; T2WI showed a high signal; DWI showed a high signal and low ADC value; and most of the enhanced MRI showed inhomogeneous hyperenhancement. Conclusion: Conventional ultrasound, contrast-enhanced ultrasound and MRI are complementary methods that provide additional imaging information for the diagnosis of cervical large-cell neuroendocrine carcinoma.

Geosynthetic-reinforced embankments are subject to two primary failure mechanisms: bond failure and rupture. Bond failure occurs when the critical slip surface extends beyond the reinforced zone, while rupture occurs when the slip surface intersects the reinforcement. For a specified factor of safety and reinforcement length, there exists a minimum tensile strength of the reinforcement required to ensure bond failure only. Increasing the tensile strength beyond this minimum does not alter the failure mechanism or the factor of safety. Conversely, extending the reinforcement length while keeping the tensile strength below this critical value may lead to rupture failure at the same factor of safety. This study utilizes Monte Carlo simulation to perform a probabilistic stability analysis of these failure mechanisms in embankments with varying soil types and slope angles. The analysis evaluates safety margins in terms of the factor of safety and probability of failure. Furthermore, this study investigates the impact of cross-correlation between soil strength parameters, demonstrating that realistic values of the correlation coefficient can reduce the probability of failure for both failure mechanisms.

Abstract Deep neural networks are vulnerable to attacks from adversarial inputs. Corresponding attack research on human pose estimation (HPE), particularly for body joint detection, has been largely unexplored. Transferring classification-based attack methods to body joint regression tasks is not straightforward. Another issue is that the attack effectiveness and imperceptibility contradict each other. To solve these issues, we propose local imperceptible attacks on HPE networks. In particular, we reformulate imperceptible attacks on body joint regression into a constrained maximum allowable attack. Furthermore, we approximate the solution using iterative gradient-based strength refinement and greedy-based pixel selection. Our method crafts effective perceptual adversarial attacks that consider both human perception and attack effectiveness. We conducted a series of imperceptible attacks against state-of-the-art HPE methods, including HigherHRNet, DEKR, and ViTPose. The experimental results demonstrate that the proposed method achieves excellent imperceptibility while maintaining attack effectiveness by significantly reducing the number of perturbed pixels. Approximately 4% of the pixels can achieve sufficient attacks on HPE.

Abstract The coupling of excited states and ionic dynamics is the basic and challenging point for the materials response at extreme conditions. In the laboratory, the intense laser produces transient nature and complexity with highly nonequilibrium states, making it extremely difficult and interesting for both experimental measurements and theoretical methods. With the inclusion of laser-excited states, we extend an ab initio method into the direct simulations of whole laser-driven microscopic dynamics from solid to liquid. We construct the framework of combining the electron-temperature-dependent deep neural-network potential energy surface with a hybrid atomistic-continuum approach, controlling non-adiabatic energy exchange and atomistic dynamics, which enables consistent interpretation of experimental data. By large-scale ab initio simulations, we demonstrate that the nonthermal effects introduced by hot electrons play a dominant role in modulating the lattice dynamics, thermodynamic pathway, and structural transformation. We highlight that the present work provides a path to realistic computational studies of laser-driven processes, thus bridging the gap between experiments and simulations.

Over the past few decades, the construction industry has been suffering from project delays. It remains a recognized challenge to accurately predict the actual project’s progress, despite the vast amount of field data and scheduling methods available. In this paper, four different machine learning (ML) models including K-nearest neighbor (KNN), support vector regression (SVR), gradient boosting trees (GBT), and artificial neural network (ANN) were used for forecasting the construction duration of work areas. Field data were collected, including progress, workload, labor, weather, planned days, and location, as inputs and construction days as output for each work area to develop the models. A simple and widely used baseline model was used to confirm the accuracy and generalization capability of ML models. The comparison of the results revealed that ANN and GBT models produced significantly superior results. Additionally, the GBT model is substantially more computationally efficient. In conclusion, the GBT model could be successfully and effectively applied to improve the prediction of construction duration. The proposed ML models could be utilized as a decision support tool for construction project managers to adjust construction site resource allocation.

Background: Ovarian cancer (OV) is the fifth leading cause of cancer death among women. Growing evidence supports a key role of the tumor microenvironment in the growth, progression, and metastasis of OV. However, the prognostic effects of gene expression signatures associated with the OV microenvironment have not been well established. This study was aimed at applying the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm to identify tumor-microenvironment-associated genes that predict outcomes in patients with OV. Methods: The gene expression profiles of OV samples were downloaded from The Cancer Genome Atlas database. The immune and stromal scores of 469 OV samples on the basis of the ESTIMATE algorithm were available. To better understand the effects of gene expression signatures associated with the OV microenvironment on prognosis, we categorized these samples into groups with high and low ESTIMATE scores. A different OV cohort from the Gene Expression Omnibus (GEO) database and immunohistochemistry from The Human Protein Atlas database were used for external validation. Results: The molecular subtypes of patients with OV correlated with the stromal scores, and the mesenchymal subtype had the highest stromal scores. Patients with higher stromal scores had lower 5-year overall survival; 449 differentially expressed genes in the stromal score group were identified, 26 of which were significantly associated with poor prognosis in patients with OV (p < 0.05). In another OV cohort from the Gene Expression Omnibus database, six genes were further validated to be significantly associated with poor prognosis. Immunohistochemistry data from The Human Protein Atlas database confirmed the overexpression of CX3CR1, GFPT2, NBL1, TFPI2, and ZFP36 in OV tissues compared with normal tissues. Conclusion: Our findings suggest that CX3CR1, GFPT2, NBL1, TFPI2, and ZFP36 may be promising biomarkers for OV prognosis, with clinical implications for therapeutic strategies.

Abstract The multi-subunit homotypic fusion and vacuole protein sorting (HOPS) membrane-tethering complex is required for autophagosome-lysosome fusion in mammals, yet reconstituting the mammalian HOPS complex remains a challenge. Here we propose a “hook-up” model for mammalian HOPS complex assembly, which requires two HOPS sub-complexes docking on membranes via membrane-associated Rabs. We identify Rab39A as a key small GTPase that recruits HOPS onto autophagic vesicles. Proper pairing with Rab2 and Rab39A enables HOPS complex assembly between proteoliposomes for its tethering function, facilitating efficient membrane fusion. GTP loading of Rab39A is important for the recruitment of HOPS to autophagic membranes. Activation of Rab39A is catalyzed by C9orf72, a guanine exchange factor associated with amyotrophic lateral sclerosis and familial frontotemporal dementia. Constitutive activation of Rab39A can rescue autophagy defects caused by C9orf72 depletion. These results therefore reveal a crucial role for the C9orf72-Rab39A-HOPS axis in autophagosome-lysosome fusion.

Abstract Post-translational modifications (PTMs) of proteins contribute to the occurrence and development of tumors. Previous studies have suggested that canonical PTMs such as ubiquitination, glycosylation, and phosphorylation are closely implicated in different aspects of gastrointestinal tumors. Recently, emerging evidence showed that non-canonical PTMs play an essential role in the carcinogenesis, metastasis and treatment of gastrointestinal tumors. Therefore, we summarized recent advances in sumoylation, neddylation, isoprenylation, succinylation and other non-canonical PTMs in gastrointestinal tumors, which comprehensively describe the mechanisms and functions of non-classical PTMs in gastrointestinal tumors. It is anticipated that targeting specific PTMs could benefit the treatment as well as improve the prognosis of gastrointestinal tumors.

The atrium, as the core space of modern university libraries, is crucial for providing ample natural lighting and creating a comfortable spatial experience. It is also key to achieving the building’s green and low-carbon goals. However, designing the atrium of a university library faces a significant challenge: finding the right balance between ensuring good natural lighting and effectively reducing the energy consumption of the air conditioning system. This study aims to explore this balance and provide architects with various feasible design schemes. Firstly, a parametric typical model of the atrium space was established by researching 36 university libraries. Based on the Grasshopper platform in Rhino, the typical model was simulated for natural lighting and energy consumption, and the Wallacei plugin was used to couple the optimization parameters of the typical model with the optimization target parameters. The multi-objective optimization experiment of the typical model was carried out with the objectives of maximizing spatial daylight autonomy and the percentage of useful daylight illuminance, as well as minimizing air conditioning energy consumption. The experiment generated 2000 optimization solutions, and the analysis of the historical solution set revealed the complex non-linear relationship between optimization parameters and performance indicators. Moreover, three Pareto optimal solutions were selected as representative design schemes, providing valuable references for architects when designing the spatial form of the atrium.

A mechanical vibration fault diagnosis is a key means of ensuring the safe and stable operation of transformers. To achieve an accurate diagnosis of transformer vibration faults, this paper proposes a novel fault diagnosis method based on time-shift multiscale increment entropy (TSMIE) combined with CatBoost. Firstly, inspired by the concept of a time shift, TSMIE was proposed. TSMIE effectively solves the problem of the information loss caused by the coarse-graining process of traditional multiscale entropy. Secondly, the TSMIE of transformer vibration signals under different operating conditions was extracted as fault features. Finally, the features were sent into the CatBoost model for pattern recognition. Compared with different models, the simulation and experimental results showed that the proposed model had a higher diagnostic accuracy and stability, and this provides a new tool for transformer vibration fault diagnoses.

GH4169 high-temperature alloy is widely used in aerospace and other fields because of its excellent fatigue, radiation, oxidation, and corrosion resistance. However, milling forces, high temperatures, and machining hardening can occur during milling processing. To explore the machining characteristics of GH4169 high-temperature alloy, an ultrasonic vibration-assisted milling model was established to study the effect of ultrasonic milling parameters on the milling process. The simulation results show that: the increase of ultrasonic amplitude can effectively reduce the machining stress, improve the chip-breaking effect and reduce the milling force; with the rise of milling speed, the separation characteristic is weakened, which is not conducive to chip breaking; the increase of radial cutting width will increase the machining stress and improve the milling force. Finally, by comparing the actual machining and simulation results, the error is within 10%, which verifies the feasibility of the simulation study and provides guidance for ultrasonic milling of GH4169 high-temperature alloy.

Abstract Background Neoadjuvant chemotherapy followed by radical cystectomy (RC) is the standard of care for patients with muscle‐invasive bladder cancer (MIBC). However, treatment outcomes are suboptimal. Camrelizumab, a PD‐1 blockade, has shown benefits in several tumors. This study aimed to investigate the efficacy and safety of neoadjuvant camrelizumab in combination with gemcitabine plus cisplatin (GC) followed by RC for MIBC patients. Methods This was a multi‐center, single‐arm study that enrolled MIBC patients with a clinical stage of T2‐4aN0‐1M0, and scheduled for RC. Patients received three 21‐day cycles of camrelizumab 200 mg on day 1, gemcitabine 1000 mg/m2 on day 1 and 8, and cisplatin 70 mg/m2 on day 2, followed by RC. The primary endpoint was pathologic complete response (pCR, pT0N0). Results From May 2020 to July 2021, 43 patients were enrolled and received study medications at nine centers in China. Three of them were deemed ineligible and excluded from efficacy analysis but included in safety analysis. In total 10 patients were unevaluable as they declined RC (two due to adverse events [AEs] and eight due to patient's willingness). Among 30 evaluable patients, 13 patients (43.3%) achieved pCR, and 16 patients (53.3%) achieved pathologic downstaging. No AEs leading to death were observed. The most common AEs were anemia (69.8%), decreased white blood cell count (65.1%), and nausea (65.1%). Immune‐related AEs were all grade 1 or 2. Pathologic response was not correlated with PD‐L1 expression status or tumor mutation burden. Individual genes as a biomarker for pathologic response were not identified. Conclusions Neoadjuvant treatment with camrelizumab and GC regimen demonstrated preliminary anti‐tumor activity for MIBC patients with manageable safety profiles. The study met its primary endpoint, and the following randomized trial is ongoing.

Summary: Autophagy is crucial for degrading and recycling cellular components. Fusion between autophagosomes and lysosomes is pivotal, directing autophagic cargo to degradation. This process is driven by STX17-SNAP29-VAMP8 and STX7-SNAP29-YKT6 in mammalian cells. However, the interaction between STX17 and YKT6 and its significance remain to be revealed. In this study, we challenge the notion that STX17 and YKT6 function independently in autophagosome-lysosome fusion. YKT6, through its SNARE domain, forms a complex with STX17 and SNAP29 on autophagosomes, enhancing autophagy flux. VAMP8 displaces YKT6 from this complex, leading to the formation of the fusogenic complex STX17-SNAP29-VAMP8. We demonstrated that the YKT6-SNAP29-STX17 complex facilitates both lipid and content mixing driven by STX17-SNAP29-VAMP8, suggesting a priming role of YKT6 for efficient membrane fusion. Our results provide a potential regulation mechanism of autophagosome-lysosome fusion, highlighting the importance of YKT6 and its interactions with STX17 and SNAP29 in promoting autophagy flux.

Falling from height (FFH) is a significant safety concern in the construction industry. It requires construction safety managers to identify and prevent FFH from occurring as early as possible. However, due to insufficient expertise and the shortage of relevant personnel, it is often challenging to accurately and promptly identify FFH risks, especially those more dangerous ones. To address this issue, we proposed a new identification method for FFH risk points by incorporating BIM, path simulation, and machine learning techniques. Our approach, based on the likelihood exposure consequence criterion, efficiently identified and prioritized hazardous FFH risk points. Unlike prior studies, we emphasized the spatial distribution of workers by incorporating site layout and construction schedule considerations. The algorithm generated a safe routing plan, which was validated in experiments, emphasizing its effectiveness in early detection and mitigation of FFH risks. This research provided a comprehensive approach to FFH risk management that integrates building information modeling, path simulation, and machine learning to comprehensively address FFH risks in construction and generate safe route plans for effective safety management. The proposed method significantly contributes to the early detection and elimination of potential FFH risks in construction projects.

Hand gesture, one of the essential ways for a human to convey information and express intuitive intention, has a significant degree of differentiation, substantial flexibility, and high robustness of information transmission to make hand gesture recognition (HGR) one of the research hotspots in the fields of human–human and human–computer or human–machine interactions. Noninvasive, on‐body sensors can monitor, track, and recognize hand gestures for various applications such as sign language recognition, rehabilitation, myoelectric control for prosthetic hands and human–machine interface (HMI), and many other applications. This article systematically reviews recent achievements from noninvasive upper‐limb sensing techniques for HGR, multimodal sensing fusion to gain additional user information, and wearable gesture recognition algorithms to obtain more reliable and robust performance. Research challenges, progress, and emerging opportunities for sensor‐based HGR systems are also analyzed to provide perspectives for future research and progress.

Existing studies on the biomechanical characteristics of the first metatarsophalangeal joint (1st MTPJ) during shod running are limited to sagittal plane assessment and rely on skin marker motion capture, which can be affected by shoes wrapping around the 1st MTPJ and may lead to inaccurate results. This study aims to investigate the in vivo effects of different habitual foot strike patterns (FSP) on the six degrees of freedom (6DOF) values of the 1st MTPJ under shod condition by utilizing a dual-fluoroscopic imaging system (DFIS). Long-distance male runners with habitual forefoot strike (FFS group, n = 15) and rearfoot strike (RFS group, n = 15) patterns were recruited. All participants underwent foot computed tomography (CT) scan to generate 3D models of their foot. The 6DOF kinematics of the 1st MTPJ were collected using a DFIS at 100 Hz when participants performed their habitual FSP under shod conditions. Independent t-tests and one-dimensional statistical parametric mapping (1-d SPM) were employed to analyze the differences between the FFS and RFS groups’ 1st MTPJ 6DOF kinematic values during the stance phase. FFS exhibited greater superior translation (3.5–4.9 mm, p = 0.07) during 51%–82% of the stance and higher extension angle (8.4°–10.1°, p = 0.031) during 65%–75% of the stance in the 1st MTPJ than RFS. Meanwhile, FFS exhibited greater maximum superior translation (+3.2 mm, p = 0.022), maximum valgus angle (+6.1°, p = 0.048) and varus–valgus range of motion (ROM) (+6.5°, p = 0.005) in the 1st MTPJ during stance. The greater extension angle of the 1st MTPJ in the late stance suggested that running with FFS may enhance the propulsive effect. However, the higher maximum valgus angle and the ROM of varus–valgus in FFS may potentially lead to the development of hallux valgus.

Abstract Background Increasing evidence supports that the co-treatment with growth hormone (GH) enhances ovarian response and oocyte quality during controlled ovarian stimulation (COS) in patients with diminished ovarian reserve (DOR). The composition of follicular fluid (FF) plays an essential role in oocyte development and mirrors the communication occurring between the oocyte and follicular microenvironment. However, the effect of GH on the FF metabolome remains unclear. Methods This prospective observational study recruited DOR patients undergoing in vitro fertilization (IVF) cycles with minimal stimulation protocol for COS. Each patient receiving GH co-treatment was matched to a patient without GH co-treatment by propensity score matching. The FF was collected after isolating oocytes and assayed by gas chromatograph-mass spectrometry (GC-MS) metabolomics. The Pearson correlation was performed to evaluate the relationship between the number of oocytes retrieved and the levels of differential metabolites. The KEGG database was used to map differential metabolites onto various metabolic pathways. Results One hundred thirty-four FF metabolites were identified by GC-MS metabolomics. Twenty-four metabolites, including glutathione, itaconic acid and S-adenosylmethionin (SAM) showed significant differences between the GH and control groups (p-value

This review article systematically summarizes the existing literature on utilizing machine learning (ML) techniques for the control and monitoring of electric machine drives. It is anticipated that with the rapid progress in learning algorithms and specialized embedded hardware platforms, ML-based data-driven approaches will become standard tools for the automated high-performance control and monitoring of electric drives. In addition, this article also provides some outlook toward promoting its widespread application in the industry with a focus on deploying ML algorithms onto embedded system-on-chip field-programmable gate array devices.

Water loss is one of the most significant quality deterioration characteristics of passion fruit during postharvest storage, transportation and marketing, which seriously affects its commercial value. In this study, Low Field Nuclear Magnetic Resonance (LF-NMR) was employed to investigate the water loss process of golden passion fruit during storage, and the relationship between water loss and quality deterioration was analyzed. The results of LF-NMR showed that the proton density of the pulp and peel of golden passion fruit decreased significantly during storage, which was consistent with the appearance after severe water loss; additionally, the water loss of fruit was mainly free water with 14.98% decrease, while the bound water decreased significantly in the later stage of storage; and the degree of water loss was related to the process of postharvest ripening and senescence. Further studies showed that there were two respiratory peaks during postharvest ripening period of golden passion fruit, meanwhile the water and weight loss was low, and the decreased chlorophyll content and increased carotenoid content contributed to higher brightness and hue; moreover, the total soluble solids (TSS) content decreased slightly, but titratable acid (TA) and fruit firmness decreased remarkably, indicating a normal postharvest ripening of fruit with rare rot. However, in the senescence period, the respiration rate declined as the water and weight loss increased, and the brightness and hue decreased as the carotenoid reduced rapidly; Furthermore, the TSS and TA contents, and fruit firmness kept decreasing, along with a rapid increase of decay rate. Therefore, the severe water loss of golden passion fruit could not only cause significant loss of weight and freshness, but also induce changes in physiological metabolism, cellular and tissular structure, which reduced fruit storage tolerance and accelerated quality deterioration. This study can provide reference for the study on the mechanism of water loss and corresponding control technology of passion fruit, as well as the non-destructive testing of water status in postharvest fruit and vegetables.

Recently, strategies based on the integration of nanotechnology with microbial carriers have been proposed for cancer therapy. Here the authors report the design of an ultrasound-controlled CRISPR/Cas9 gene editing system for IDO1 silencing compounded with the probiotic Lactobacillus rhamnosus GG, showing the induction of anti-tumor immune responses in preclinical cancer models.

Abstract Total fertilization failure (TFF) is an important cause of infertility; however, the genetic basis of TFF caused by male factors remains to be clarified. In this study, whole‐exome sequencing was firstly used to screen for genetic causes of TFF after intracytoplasmic sperm injection (ICSI), and homozygous variants in the novel gene IQ motif‐containing N (IQCN) were identified in two affected individuals with abnormal acrosome structures. Then, Iqcn‐knockout mice were generated by CRISPR‐Cas9 technology and showed that the knockout male mice resembled the human phenotypes. Additionally, we found that IQCN regulates microtubule nucleation during manchette assembly via calmodulin and related calmodulin‐binding proteins, which resulted in head deformity with aberrant oocyte activation factor PLCζ. Fortunately, ICSI with assisted oocyte activation can overcome IQCN‐associate TFF and male infertility. Thus, our study firstly identified the function of IQCN, highlights the relationship between the manchette assembly and fertilization, and provides a genetic marker and a therapeutic option for male‐source TFF.

We examine how natural disasters affect bank performance during the 2000-2017 period. The results suggest bank offices in affected counties raise loan rates more than deposit rates. However, we find that community banks, not non-community banks, drive the results, and by being located in disaster-prone areas, they contribute to helping communities recover from natural disasters without any evidence of price gouging. This contributes to higher returns on assets and net interest margins for community banks. Yet, the banks' resulting higher return on assets is not large enough that their offices in disaster-prone communities contribute to economically meaningful profits. Moreover, banks increase their use of brokered deposits after natural disasters to help offset any withdrawal of deposits by individuals and firms in affected communities.

BackgroundArtificial forest can have great potential in serving as habitat to wildlife, depending on different management methods. As the state-owned forest farms now play a new role in ecological conservation in China, the biological richness of this kind of land-use type is understudied. Once owned by a mining company, a largest state-owned forest farm, Jingxi Forest Farm, has been reformed to be a state-owned forest farm with the purpose of conservation since 2017. Although this 116.4 km2 forest farm holds a near-healthy montaine ecosystem very representative in North China, a large proportion of artificial coniferous forest in the forest farm has been proven to hold less biodiversity than natural vegetation. This situation, however, provides a great opportunity for ecological restoration and biodiversity conservation. Therefore, from November 2019 to December 2020, we conducted a set of biodiversity surveys, whose results will serve as a baseline for further restoration and conservation.New informationHere, we report the result of a multi-taxa fauna diversity survey conducted in Jingxi Forest Farm mainly in year 2020 with explicit spatial information. It is the first survey of its kind conducted in this area, revealing a total of 19 species of mammals, 86 birds, four reptiles, two amphibians and one fish species, as well as 101 species of insects. Four species of mammals are identified as data-poor species as they have less than 100 occurrence records with coordination in the GBIF database. One species of insect, representing one new provincial record genus of Beijing, is reported.

Resilience is the ability to bounce back from setbacks and adapt to new circumstances. Resilient teachers can handle these issues. In this case, it’s proposed to interpret the recent decade’s resilience research on teachers. Provide a conceptual framework for teacher resilience factors. The Scopus database was used to collect articles. The titles and abstracts of articles were read one by one. As a result, 22 articles were included in the data analysis. The country where the data were collected, the aims of the study, the education level which the participants working, the sample size, the scale used, and the variables included in the study are marked in the full text. Most studies were effect determination, correlation, or exploratory. Initially, age and gender inequalities among instructors were examined. Postgraduate instructors are more resilient than undergraduates. Psychological factors, workplace variables, and teacher competency and attributes are used to study teacher resilience. Teachers’ resilience negatively impacts depression, stress, anxiety, well-being, and mood. Quality of life and well-being are positively connected. Job crafting, work engagement, and working environment are favorably connected, whereas job burnout and turnover intention are adversely correlated. Resilience was positively connected with emotion regulation, empathy, others’ emotion evaluation, teacher competence, teacher self-efficacy, and self-esteem in teachers. Anger, anxiety, mindfulness, pleasure, social support, fear, and training affect teachers’ resilience. Teachers’ resilience affects stress, depersonalization, personal accomplishment, emotional exhaustion, children’s resilience, job engagement, happiness, well-being, self-care, and success.

Dissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers. Given the limitations of traditional transformer fault diagnostic methods, such as insufficient gas characteristic components and a high misjudgment rate for transformer faults, this study proposes a transformer fault diagnosis model based on multi-scale approximate entropy and optimized convolutional neural networks (CNNs). This study introduces an improved sparrow search algorithm (ISSA) for optimizing CNN parameters, establishing the ISSA-CNN transformer fault diagnosis model. The dissolved gas components in the transformer oil are analyzed, and the multi-scale approximate entropy of the gas content under different fault modes is calculated. The computed entropy values are then used as feature parameters for the ISSA-CNN model to derive diagnostic results. Experimental data analysis demonstrates that multi-scale approximate entropy effectively characterizes the dissolved gas components in the transformer oil, significantly improving the diagnostic efficiency. Comparative analysis with BPNN, ELM, and CNNs validates the effectiveness and superiority of the proposed ISSA-CNN diagnostic model across various evaluation metrics.

It is very important for the wind-resistant design of high-rise buildings to assess wind-induced vibrations efficiently. The Lattice Boltzmann Method-based Large Eddy Simulation and Fluid–Structure Interaction techniques are used to identify the surface wind pressure and wind-induced dynamic response of a CAARC standard high-rise building. Compared with wind tunnel tests, a detailed analysis of the accuracy of simulated wind pressures and base moments of the CAARC model are discussed under multiple wind direction angles. The differences between one-way and two-way Fluid–Structure Interaction simulations are compared under two different reduced wind velocities. The research results show that the simulated mean surface wind pressures of building under seven wind direction conditions have an error within 15% compared to probe measurements, and the average and root mean square base bending moments agree well with the wind tunnel tests. The top transverse wind-induced vibrations of the buildings are significantly larger when the reduced wind velocity reaches 4.6, indicating that aerodynamic damping effects on structural responses should not be overlooked. The research findings of this article provide valuable technical references for the application of LBM methods in the wind load effect assessments of high-rise buildings.

Abstract Maternal messenger ribonucleic acids (mRNAs) are driven by a highly orchestrated scheme of recruitment to polysomes and translational activation. However, selecting and regulating individual mRNAs for the translation from a competitive pool of mRNAs are little‐known processes. This research shows that the maternal eukaryotic translation initiation factor 4e1b (Eif4e1b) expresses during the oocyte‐to‐embryo transition (OET), and maternal deletion of Eif4e1b leads to multiple defects concerning oogenesis and embryonic developmental competence during OET. The linear amplification of complementary deoxyribonucleic acid (cDNA) ends, and sequencing (LACE‐seq) is used to identify the distinct subset of mRNA and its CG‐rich binding sites within the 5′ untranslated region (UTR) targeted by eIF4E1B. The proteomics analyses indicate that eIF4E1B‐specific bound genes show stronger downregulation at the protein level, which further verify a group of proteins that plays a crucial role in oocyte maturation and embryonic developmental competence is insufficiently synthesized in Eif4e1b‐cKO oocytes during OET. Moreover, the biochemical results in vitro are combined to further confirm the maternal‐specific translation activation model assembled by eIF4E1B and 3′UTR‐associated mRNA binding proteins. The findings demonstrate the indispensability of eIF4E1B for selective translation activation in mammalian oocytes and provide a potential network regulated by eIF4E1B in OET.

The modulation of topological electronic state by an external magnetic field is highly desired for condensed-matter physics. Schemes to achieve this have been proposed theoretically, but few can be realized experimentally. Here, combining transverse transport, theoretical calculations, and scanning tunneling microscopy/spectroscopy (STM/S) investigations, we provide an observation that the topological electronic state, accompanied by an emergent magneto-transport phenomenon, was modulated by applying magnetic field through induced non-collinear magnetism in the magnetic Weyl semimetal EuB6. A giant unconventional anomalous Hall effect (UAHE) is found during the magnetization re-orientation from easy axes to hard ones in magnetic field, with a UAHE peak around the low field of 5 kOe. Under the reasonable spin-canting effect, the folding of the topological anti-crossing bands occurs, generating a strong Berry curvature that accounts for the observed UAHE. Field-dependent STM/S reveals a highly synchronous evolution of electronic density of states, with a dI/dV peak around the same field of 5 kOe, which provides evidence to the folded bands and excited UAHE by external magnetic fields. This finding elucidates the connection between the real-space non-collinear magnetism and the k-space topological electronic state and establishes a novel manner to engineer the magneto-transport behaviors of correlated electrons for future topological spintronics. Public summary: • Modulation of Weyl electronic state by external field is highly desired. • Weyl electronic state and transverse transport are synchronously modulated. • Such modulation is realized by magnetic field-induced spin canting. • Non-collinear magnetism and topological electronic state can be connected.

In order to study the control effect of γ-polyglutamic acid (γ-PGA) coating treatment on the storage quality of postharvest ‘Golden Younai’ plum fruit and its relationship with respiration metabolism, 4 g/L γ-PGA was used to treat the postharvest ‘Golden Younai’ plum fruit, to evaluate the changes in fruit quality indicators and respiration rate during cold storage, and to further study the changes in important intermediate metabolites and key enzyme activities of the fruit respiration metabolism glycolysis-tricarboxylic acid cycle pathway. The results showed that the γ-PGA treatment delayed the decrease of the firmness of fruit during the early storage period, increased and maintained the soluble solid content during the storage period, slowed the increase in the weight loss rate and the decrease in the good fruit rate, and inhibited the respiratory intensity; further research found that, γ-PGA treatment inhibited the activity of hexokinase in the glycolysis of fruit, maintained the activities of phosphofructokinase and pyruvate kinase, delayed the decrease of glucose and pyruvate content, and also promoted the decrease of α-ketoglutarate dehydrogenase, succinate dehydrogenase activity and succinic acid content, while maintaining high citrate synthase activity, slowing down the decrease of citric acid and malic acid content. Therefore, 4 g/L γ-PGA coating treatment can reduce the loss of the respiratory substrates and intermediates via affecting the EMP-TCA pathway, which contributed to less material consumption during the storage, maintaining the quality and prolonging the shelf-life of harvested ‘Golden Younai’ plum fruit.

Objective: To investigate whether the specific traditional Chinese medicine (TCM) constitution of individuals can be defined by certain biological indexes instead of answering the questionnaire, and to explore the possibility of discriminating nine TCM constitutions from each other simultaneously using biological indexes. Methods: Blood and urine samples from 152 individuals with nine TCM constitutions were collected, and the related biological indexes were analyzed combining ANOVA, multiple comparison, discriminant analysis, and support vector machine. Results: We found that 4 out of 24 blood routine indexes, 7 out of 10 urine routine indexes, and 12 out of 32 biochemical indexes showed differences among the constitutions. High-sensitivity C-reactive protein, apolipoprotein A1, and alkaline phosphatase were potential candidates for screening out individuals with unbalanced constitutions. Combining uric acid, high-density lipoprotein, apolipoprotein A1, creatine kinase, total protein, aspartate aminotransferase, total bile acid, dehydrogenase, sodium, and calcium levels had the potential to directly distinguish the nine TCM constitutions from each other. Among these indexes, the highest ratio of discriminant analysis between two constitutions was 95.5%, while the lowest was 66.1%. Conclusion: Our results suggest that some biochemical and urine indexes are related to various TCM constitutions, and thus they have the potential to be used for TCM constitution classification.

Progress management is an important scheme of construction management. In practical affairs, many unknown factors may lead to potential project delays and make the schedule risky. To address this issue, this paper proposes a data-driven construction progress evaluation method that employs a probabilistic reliability analysis with BIM to effectively quantify the risk of schedule delay. By identifying critical tasks and probable failure conditions in uncertain environments, this method enables project managers to take proactive measures to keep their projects on schedule. Through our case study, we have demonstrated that the proposed method is highly effective in dynamically evaluating the project progress with both accuracy and efficiency. Besides, this system offers a more efficient way for managers to gather information, evaluate progress, and identify critical tasks, and provides project managers with a data-driven understanding of the risks and uncertainties related to project schedules, enabling them to take proactive measures to minimize the potential delays and ensure successful project delivery.

Accurately obtaining the in vivo motion of the medial longitudinal arch (MLA), first metatarsophalangeal joint (MTPJ), and plantar fascia (PF) is essential for analyzing the biomechanics of these structures in different running strike patterns. Most previous studies on the biomechanics of the MLA, first MTPJ, and PF have been based on traditional skin-marker–based motion capture, which cannot acquire the natural foot motion. Therefore, this study aimed to 1) describe the movement of the MLA, first MTPJ, and PF during running by using the high-speed dual fluoroscopic imaging system (DFIS) and 2) explore changes of the in vivo kinematics of the MLA and first MTPJ, and the length of the PF during the stance phase of running with different foot strike patterns. Fifteen healthy male runners all of whom ran with a regular rearfoot strike (RFS) pattern were required to run with forefoot strike (FFS) and RFS patterns. Computed tomography scans were taken from each participant’s right foot for the construction of 3D models (the calcaneus, first metatarsal, and first proximal phalanges) and local coordinate systems. A high-speed DFIS (100 Hz) and 3D force platform (2,000 Hz) were used to acquire X-ray images of the foot bones and ground reaction force data during the stance phase of running (3 m/s ± 5%) simultaneously. Then, 3D-2D registration was used to obtain the in vivo kinematic data of the MLA and first MTPJ and the length of the PF. When compared with RFS, in FFS, 1) the range of motion (ROM) of the medial/lateral (5.84 ± 5.61 mm vs. 0.75 ± 3.38 mm, p = 0.002), anterior/posterior (14.64 ± 4.33 mm vs. 11.18 ± 3.56 mm, p = 0.010), plantarflexion/dorsiflexion (7.13 ± 3.22° vs. 1.63 ± 3.29°, p < 0.001), and adduction/abduction (−3.89 ± 3.85° vs. −0.64 ± 4.39°, p = 0.034) motions of the MLA were increased significantly; 2) the ROM of the anterior/posterior (7.81 ± 2.84 mm vs. 6.24 ± 3.43 mm, p = 0.003), superior/inferior (2.11 ± 2.06 mm vs. −0.57 ± 1.65 mm, p = 0.001), and extension/flexion (−9.68 ± 9.16° vs. −5.72 ± 7.33°, p = 0.018) motions of the first MTPJ were increased significantly; 3) the maximum strain (0.093 ± 0.023 vs. 0.075 ± 0.020, p < 0.001) and the maximum power (4.36 ± 1.51 W/kg vs. 3.06 ± 1.39 W/kg, p < 0.001) of the PF were increased significantly. Running with FFS may increase deformation, energy storage, and release of the MLA and PF, as well as the push-off effect of the MTPJ. Meanwhile, the maximum extension angle of the first MTPJ and MLA deformation increased in FFS, which showed that the PF experienced more stretch and potentially indicated that FFS enhanced the PF mechanical responses.

Objective: This study aims to explore the effects of a 12-week gait retraining program combined with foot core exercise on arch morphology, arch muscles strength, and arch kinematics.Methods: A total of 26 male recreational runners with normal arch structure who used rear-foot running strike (RFS) were divided into the intervention group (INT group) and control group (CON group) (n = 13 in each group). The INT group performed a 12-week forefoot strike (FFS) training combined with foot core exercises. The CON group did not change the original exercise habit. Before and after the intervention, the arch morphology, as well as the strength of hallux flexion, lesser toe flexion, and the metatarsophalangeal joint (MPJ) flexors were measured in a static position, and changes in the arch kinematics during RFS and FFS running were explored.Results: After a 12-week intervention, 1) the normalized navicular height increased significantly in the INT group by 5.1% (p = 0.027, Cohen’s d = 0.55); 2) the hallux absolute flexion and relative flexion of the INT group increased significantly by 20.5% and 21.7%, respectively (p = 0.001, Cohen’s d = 0.59; p = 0.001, Cohen’s d = 0.73), the absolute and relative strength of the MPJ flexors of the INT group were significantly improved by 30.7% and 32.5%, respectively (p = 0.006, Cohen’s d = 0.94; p = 0.006, Cohen’s d = 0.96); 3) and during RFS, the maximum arch angle of the INT group declined significantly by 5.1% (p < 0.001, Cohen’s d = 1.49), the arch height at touchdown increased significantly in the INT group by 32.1% (p < 0.001, Cohen’s d = 1.98).Conclusion: The 12-week gait retraining program combined with foot core exercise improved the arch in both static and dynamic positions with a moderate to large effect size, demonstrating the superiority of this combined intervention over the standalone interventions. Thus, runners with weak arch muscles are encouraged to use this combined intervention as an approach to enhance the arch.