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Abstract Background COVID-19, which is caused by SARS-CoV-2, is a major global health threat. The dominant variant of SARS-CoV-2 has changed over time due to continuous evolution. We aimed to evaluate the coverage of SARS-CoV-2 vaccination among employees in China, explore their willingness to receive the SARS-CoV-2 variant vaccine and examine the potential factors influencing vaccination coverage and willingness. Methods A cross-sectional epidemiological survey was conducted online from January 1, 2022, to January 30, 2022. The information collected in the survey included sociodemographic characteristics, lifestyle habits, vaccination coverage, willingness to be vaccinated against SARS-CoV-2 variants and the reasons for vaccination and willingness. Multivariable logistic regression models were used to assess the associations of potential factors with the rate of vaccination and the willingness to be vaccinated. Results Among 62,395 eligible participants, the coverage of SARS-CoV-2 vaccination was 98.9% for at least one dose and 70.1% for a booster. The great majority of vaccinated individuals (94.4%) voluntarily received the vaccine. A total of 60,694 respondents (97.7%) were willing to be vaccinated against SARS-CoV-2 variants, mainly due to confidence in the effectiveness of vaccines (92.8%). A total of 1431 respondents were unwilling to be vaccinated, mainly because of concerns about the adverse effects of vaccines (77.6%). Longer education duration was associated with a higher rate of SARS-CoV-2 vaccination and willingness to be vaccinated. General or poor health status and having no history of influenza vaccination were associated with a lower rate of SARS-CoV-2 vaccination and willingness to be vaccinated. Additionally, we observed a significant positive association of abuse experience with the willingness to be vaccinated. Conclusion Although the rate of SARS-CoV-2 vaccination and the willingness to be vaccinated were relatively high in the study population, there were still some respondents with vaccine hesitancy. Relevant strategies based on significant related factors should be developed and implemented to encourage vaccination.

ABSTRACTSatellite remote sensing has been widely utilized for petroleum detection offshore since oil spill is normally widespread. However, the onshore hydrocarbon detection is insufficient because the lower spectral resolution of previous satellites made it difficult to identify small scales of seepages. In this study, a dataset of the High-Resolution 5 satellite (GF-5) of China was chosen to directly detect hydrocarbon seeps in the Karamay area. First, an IDL program was used to remove the vertical tripe noise of the image to ensure the high quality of the image. Second, use principal component analysis (PCA) was combined with the classification and regression trees (CART) method RuleGen to process the image. The detected hydrocarbon information was enhanced by RGB color synthesis. The results show that the methods can detect hydrocarbon effectively. Field verification results show that the accuracy is 86.5%. This study provides an effective method for hydrocarbon detection using GF-5 data.

Congenital heart defects (CHDs) affect a substantial proportion of patients with Kabuki syndrome. However, the prevalence and type of CHD and the genotype–phenotype correlations in Asian populations are not fully elucidated. This study performed a retrospective analysis of 23 Taiwanese patients with molecularly confirmed Kabuki syndrome. Twenty-two patients presented with pathogenic variants in the KMT2D gene. Comprehensive clinical assessments were performed. A literature review was conducted to summarize the spectrum of CHDs in patients with Kabuki syndrome. In total, 16 (73.9%) of 22 patients with pathogenic KMT2D variants had CHDs. The most common types of CHD were atrial septal defects (37.5%), ventricular septal defects (18.8%), coarctation of the aorta (18.8%), bicuspid aortic valve (12.5%), persistent left superior vena cava (12.5%), mitral valve prolapse (12.5%), mitral regurgitation (12.5%), and patent ductus arteriosus (12.5%). Other cardiac abnormalities were less common. Further, there were no clear genotype–phenotype correlations found. A literature review revealed similar patterns of CHDs, with a predominance of left-sided obstructive lesions and septal defects. In conclusion, the most common types of CHDs in Taiwanese patients with Kabuki syndrome who presented with KMT2D mutations are left-sided obstructive lesions and septal defects.

Pericarp colors are critical agronomic traits that affect the quality and economic values of fruits. Although a diversity of bitter melon pericarp (BMP) colors is available, the fruit pigmentation mechanisms remain elusive. Hence, this study aimed to unveil the key metabolites and molecular mechanisms underlying variation in BMP coloration through integrative metabolomics and transcriptomics analyses of four differently colored genotypes, including K1102 (grayish orange), 262 (grayish yellow), 1392 (very soft green), and K115 (dark grayish cyan). The four BMPs exhibited significant metabolite profile and transcriptional differences, as over 112 and 1865 DAMs (differentially accumulated metabolites) and DEGs (differentially expressed genes), respectively, were identified. The variation in the content of six anthocyanins, including malvidin 3-O-glucoside, petunidin 3-O-glucoside, rosinidin O-hexoside, cyanidin, cyanidin 3-p-hydroxybenzoylsophoroside-5-glucoside, and pelargonidin 3-O-beta-D-glucoside, might be the major driving factor of BMP color changes. Notably, malvidin 3-O-glucoside, rosinidin O-hexoside, and petunidin 3-O-glucoside are the dominant pigments in K115, while carotenoids and other flavonoids may contribute to other colors. Candidate flavonoid structural and regulatory (MYBs, NACs, MADSs, bHLHs, and bZIPs) genes were identified. Of them, gene13201 (anthocyanin reductase), gene8173 (polyphenol oxidase), gene2136 (NAC43), gene19593 (NAC104), and gene15171 (tetrapyrrole-binding protein) might play essential roles in K115 pericarp color development. Our findings deepen our understanding of BMP pigmentation and provide fundamental resources for higher-valued bitter melon breeding perspectives.

Drug therapy, including chemotherapy, targeted therapy, immunotherapy, and endocrine therapy, stands as the foremost therapeutic approach for contemporary human malignancies. However, increasing drug resistance during antineoplastic therapy has become a substantial barrier to favorable outcomes in cancer patients. To enhance the effectiveness of different cancer therapies, an in-depth understanding of the unique mechanisms underlying tumor drug resistance and the subsequent surmounting of antitumor drug resistance is required. Recently, F-box and WD Repeat Domain-containing-7 (FBXW7), a recognized tumor suppressor, has been found to be highly associated with tumor therapy resistance. This review provides a comprehensive summary of the underlying mechanisms through which FBXW7 facilitates the development of drug resistance in cancer. Additionally, this review elucidates the role of FBXW7 in therapeutic resistance of various types of human tumors. The strategies and challenges implicated in overcoming tumor therapy resistance by targeting FBXW7 are also discussed.

Abstract Background Patients with glycogen storage disease type Ia (GSDIa) are prone to hypoglycemia. Uncooked cornstarch (CS) is the treatment, but maintaining nighttime blood glucose levels is still difficult. Methods The study enrolled patients with GSDIa to investigate the benefits of bedtime extended release CS (ER‐CS, Glycosade®) versus regular CS. The daytime CS schedule was not altered. A 7‐day continuous glucose monitoring (CGM) was performed at the baseline and 12 weeks after using ER‐CS. Biochemical profile, sleep quality (Pittsburgh Sleep Quality Index, PSQI), and quality of life (SF‐36 questionnaire) were measured at the baseline and 24 weeks after using ER‐CS. Results Nine patients (9 to 33 years of age) were enrolled. Compared with the baseline (80.0 ± 6.33 mg/dL), the 12‐week evaluations revealed higher mean morning glucose levels (86.5 ± 8.26 mg/dL, p = 0.015). Twenty‐four weeks after the use of bedtime ER‐CS, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels both decreased (from 69.3 ± 77.8 to 41.1 ± 40.4 U/L and from 78.8 ± 99.6 to 37.8 ± 28.81 U/L, respectively, p = 0.013 for both analyses), and sleep and fasting time both elongated (from 7.8 ± 0.87 to 8.6 ± 1.02 h and from 6.5 ± 1.22 to 7.6 ± 1.02 h, respectively, p = 0.011 for both analyses). The mean PSQI score in the five adult patients decreased significantly (from 5.8 ± 1.29 to 3.0 ± 1.71, p = 0.042). Conclusion This study provides evidence of clinically meaningful improvements by shifting only bedtime regular CS to ER‐CS in patients with GSDIa. As ER‐CS is considerably more expensive than regular CS, this approach presents a cost‐effective alternative.

Major depressive disorder (MDD), a common psychiatric condition, adversely affects patients’ moods and quality of life. Despite the development of various treatments, many patients with MDD remain vulnerable and inadequately controlled. Since anhedonia is a feature of depression and there is evidence of leading to metabolic disorder, deep brain stimulation (DBS) to the nucleus accumbens (NAc) might be promising in modulating the dopaminergic pathway. To determine whether NAc-DBS alters glucose metabolism via mitochondrial alteration and neurogenesis and whether these changes increase neural plasticity that improves behavioral functions in a chronic social defeat stress (CSDS) mouse model. The Lab-designed MR-compatible neural probes were implanted in the bilateral NAc of C57BL/6 mice with and without CSDS, followed by DBS or sham stimulation. All animals underwent open-field and sucrose preference testing, and brain resting-state functional MRI analysis. Meanwhile, we checked the placement of neural probes in each mouse by T2 images. By confirming the placement location, mice with incorrect probe placement (the negative control group) showed no significant therapeutic effects in behavioral performance and functional connectivity (FC) after receiving electrical stimulation and were excluded from further analysis. Western blotting, seahorse metabolic analysis, and electron microscopy were further applied for the investigation of NAc-DBS. We found NAc-DBS restored emotional deficits in CSDS-subjected mice. Concurrent with behavioral amelioration, the CSDS DBS-on group exhibited enhanced FC in the dopaminergic pathway with increased expression of BDNF- and NeuN-positive cells increased dopamine D1 receptor, dopamine D2 receptors, and TH in the medial prefrontal cortex, NAc, ventral hippocampus, ventral tegmental area, and amygdala. Increased pAMPK/total AMPK and PGC-1α levels, functions of oxidative phosphorylation, and mitochondrial biogenesis were also observed after NAc-DBS treatment. Our findings demonstrate that NAc-DBS can promote BDNF expression, which alters FC and metabolic profile in the dopaminergic pathway, suggesting a potential strategy for ameliorating emotional processes in individuals with MDD.

Fine particulate matter (PM2.5) is thought to exacerbate Parkinson's disease (PD) in the elderly, and early detection of PD progression may prevent further irreversible damage. Therefore, we used diffusion tensor imaging (DTI) for probing microstructural changes after late-life chronic traffic-related PM2.5 exposure. Herein, 1.5-year-old Fischer 344 rats were exposed to clean air (control), high-efficiency particulate air (HEPA)-filtered ambient air (HEPA group), and ambient traffic-related PM2.5 (PM2.5 group, 9.933 ± 1.021 µg/m3) for 3 months. Rotarod test, DTI tractographic analysis, and immunohistochemistry were performed in the end of study period. Aged rats exposed to PM2.5 exhibited motor impairment with decreased fractional anisotropy and tyrosine hydroxylase expression in olfactory and nigrostriatal circuits, indicating disrupted white matter integrity and dopaminergic (DA) neuronal loss. Additionally, increased radial diffusivity and lower expression of myelin basic protein in PM2.5 group suggested ageing progression of demyelination exacerbated by PM2.5 exposure. Significant production of tumor necrosis factor-α was also observed after PM2.5 exposure, revealing potential inflammation of injury to multiple fiber tracts of DA pathways. Microstructural changes demonstrated potential links between PM2.5-induced inflammatory white matter demyelination and behavioral performance, with indication of pre-manifestation of DTI-based biomarkers for early detection of PD progression in the elderly.

Southwestern China has the largest geological phosphorus-rich mountain in the world, which is seriously degraded by mining activities. Understanding the trajectory of soil microbial recovery and identifying the driving factors behind such restoration, as well as conducting corresponding predictive simulations, can be instrumental in facilitating ecological rehabilitation. Here, high-throughput sequencing and machine learning-based approaches were employed to investigate restoration chronosequences under four restoration strategies (spontaneous re-vegetation with or without topsoil; artificial re-vegetation with or without the addition of topsoil) in one of the largest and oldest open-pit phosphate mines worldwide. Although soil phosphorus (P) is extremely high here (max = 68.3 mg/g), some phosphate solubilizing bacteria and mycorrhiza fungi remain as the predominant functional types. Soil stoichiometry ratios (C:P and N:P) closely relate to the bacterial variation, but soil P content contributes less to microbial dynamics. Meanwhile, as restoration age increases, denitrifying bacteria and mycorrhizal fungi significantly increased. Significantly, based on partial least squares path analysis, it was found that the restoration strategy is the primary factor that drives soil bacterial and fungal composition as well as functional types through both direct and indirect effects. These indirect effects arise from factors such as soil thickness, moisture, nutrient stoichiometry, pH, and plant composition. Moreover, its indirect effects constitute the main driving force towards microbial diversity and functional variation. Using a hierarchical Bayesian model, scenario analysis reveals that the recovery trajectories of soil microbes are contingent upon changes in restoration stage and treatment strategy; inappropriate plant allocation may impede the recovery of the soil microbial community. This study is helpful for understanding the dynamics of the restoration process in degraded phosphorus-rich ecosystems, and subsequently selecting more reasonable recovery strategies.

Corrosion is a ubiquitous failure mode in materials. Here the authors report a percolating 1D wormhole corrosion morphology using advanced electron microscopy and theoretical simulations. The work presents a vacancy mapping method with nm-resolution, identifying the incubation sites of the wormholes.

Prime editing represents a great advance to the genome editing field but is currently limited by the editing efficiency. Here the authors look to improve the efficiency by recruiting target proteins and show that the transcription factor P65 could enhance the desired editing outcomes at different gene loci.

Abstract Electroplated Cu has been extensively applied in advanced electronic packaging, and its mechanical properties are critical for reliability. In this study, Cu foils fabricated through electroplating with various bis-(3-sulfopropyl) disulfide (SPS) concentrations are examined using tensile tests. The SPS concentration affects the grain size of the electroplated Cu foils, resulting in different mechanical properties. A significant Hall–Petch effect, $${\sigma }_{y} = 197.4 + 0.12{d}^{\frac{-1}{2}}$$ σ y = 197.4 + 0.12 d - 1 2 , is demonstrated for the electroplated Cu foils. The different concentrations of impurities identified through time-of-flight secondary ion mass spectrometry correspond to the different grain sizes, determining the transgranular and intergranular fracture during the tensile test. The results demonstrate that the SPS concentration controlling the microstructures of the electroplated Cu results in a Hall–Petch effect on the mechanical properties of the electroplated Cu foils.

Abstract Alzheimer’s disease (AD) is the most common late-onset neurodegenerative disorder. Identifying individuals at increased risk of developing AD is important for early intervention. Using data from the Alzheimer Disease Genetics Consortium, we constructed polygenic risk scores (PRSs) for AD and age-at-onset (AAO) of AD for the UK Biobank participants. We then built machine learning (ML) models for predicting development of AD, and explored feature importance among PRSs, conventional risk factors, and ICD-10 codes from electronic health records, a total of > 11,000 features using the UK Biobank dataset. We used eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP), which provided superior ML performance as well as aided ML model explanation. For participants age 40 and older, the area under the curve for AD was 0.88. For subjects of age 65 and older (late-onset AD), PRSs were the most important predictors. This is the first observation that PRSs constructed from the AD risk and AAO play more important roles than age in predicting AD. The ML model also identified important predictors from EHR, including urinary tract infection, syncope and collapse, chest pain, disorientation and hypercholesterolemia, for developing AD. Our ML model improved the accuracy of AD risk prediction by efficiently exploring numerous predictors and identified novel feature patterns.

Abstract Background Natural life systems can be significantly modified at the genomic scale by human intervention, demonstrating the great innovation capacity of genome engineering. Large epi-chromosomal DNA structures were established in Escherichia coli cells, but some of these methods were inconvenient, using heterologous systems, or relied on engineered E. coli strains. Results The wild-type model bacterium E. coli has a single circular chromosome. In this work, a novel method was developed to split the original chromosome of wild-type E. coli. With this method, novel E. coli strains containing two chromosomes of 0.10 Mb and 4.54 Mb, and 2.28 Mb and 2.36 Mb were created respectively, designated as E. coli 0.10/4.54 and E. coli 2.28/2.36. The new chromosomal arrangement was proved by PCR amplification of joint regions as well as a combination of Nanopore and Illumina sequencing analysis. While E. coli 0.10/4.54 was quite stable, the two chromosomes of E. coli 2.28/2.36 population recombined into a new chromosome (Chr.4.64MMut), via recombination. Both engineered strains grew slightly slower than the wild-type, and their cell shapes were obviously elongated. Conclusion Finally, we successfully developed a simple CRISPR-based genome engineering technique for the construction of multi-chromosomal E. coli strains with no heterologous genetic parts. This technique might be applied to other prokaryotes for synthetic biology studies and applications in the future.

Abstract Background Cancer therapy has evolved from non-specific cytotoxic agents to a selective, mechanism-based approach that includes targeted agents and immunotherapy. Although the response to targeted therapies for unresectable hepatocellular carcinoma (HCC) is acceptable with the improved survival, the high tumor recurrence rate and drug-related side effects continue to be problematic. Given that immune checkpoint inhibitor alone are not robust enough to improve survival in unresectable HCC, growing evidence supports the combination of targeted therapy and immunotherapy with synergistic effect. Methods Online databases including PubMed, EMBASE, Cochrane Library, and Web of Science were searched for the studies that compared targeted monotherapy with the combination therapy of targeted drug and checkpoint inhibitors in unresectable HCC patients. Eligibility criteria were the presence of at least one measurable lesion as defined by the Response Evaluation Criteria in Solid Tumors (version 1.1) for unresectable HCC patients, an Eastern Cooperative Oncology Group performance status of 0–2, and a Child–Pugh score ≤ 7. Outcome measurements include overall survival (OS), progression-free survival (PFS), and treatment-related adverse event (TRAE). Results Three phase II/III randomized controlled trials were included in this study. The pooled results showed that combination therapy significantly improved survival than targeted monotherapy, in terms of OS (hazard ratio (HR) = 0.67; 95% confidence interval [CI]: 0.50–0.91) and PFS (HR = 0.58; 95% CI: 0.51–0.67), respectively. In the incidence of grade 3–5 TRAEs, the combination therapy was significantly higher than targeted monotherapy (odds ratio = 1.98; 95% CI: 1.13–3.48). Conclusion For unresectable HCC, combined targeted drug and immunotherapy significantly improved survival compared with targeted monotherapy. However, the incidences of AEs of combinational therapy were higher than targeted monotherapy.

Abstract For the development of a parallel mechanism (PM), it is necessary to establish a dynamic model which can accurately meet the requirements of real-time control. Compared with the general dynamic analysis model based on the inverse kinematics, the dynamic analysis model based on the forward kinematics has the advantage of low-complexity. In this paper, a new type of 3-DOF PM with analytical forward displacement analysis is proposed. Different from the general dynamic analysis based on the inverse kinematics, the displacement, velocity and acceleration equations of the PM are established and solved by forward kinematics. The inverse dynamic equation of the PM is constructed and solved by analyzing the forces on each link and based on Newton-Euler method. Then the theoretical results of an example are compared with the simulation results, which shows that the simulation results are basically consistent with the theoretical results. And the maximum error of the driving force of each pair is 1.32%, 5.8% and 5.2%, respectively, which verifies the correctness of the dynamic model. The PM has a potential application prospect in the grasping, spraying and picking of workpieces. The research results of this paper provide a theoretical basis for the design, manufacture and application of the PM.

Traumatic brain injury can cause long-term disability and thus constitutes a substantial healthcare burden worldwide. Here, the authors report a conductive microporous hydrogel to improve angiogenesis and recovery of brain function in traumatic brain lesions.

ObjectiveThis study aimed to examine the neural mechanisms underlying the decision-making process of off-ball movements among high-level football players and ordinary college students, as well as the effect of long-term skill training on these neural mechanisms using functional magnetic resonance imaging (fMRI).MethodsThe study recruited 20 professional college football players as the expert group (EG) and 20 novice football players with no background in sports-related disciplines as the novice group (NG). The participants performed the motor video observation and button-decision-making tasks, and fMRI data were acquired, pre-processed, and analyzed.ResultsDuring the decision-making process regarding running without the ball, whole-brain fMRI scans were conducted on both the EG and NG. The analysis of these scans revealed noteworthy disparities in brain activity between the two groups. These disparities were observed during tasks involving motor video observation and button-based decision-making. According to the behavioral data, the EG made more correct decisions than the NG (p < 0.05); however, there was no significant difference in their reaction speed (p > 0.05). During video observation, both the EG and NG exhibited simultaneous activation in the frontoparietal cognitive area, primary somatosensory cortex, visual cortex, and insula. However, there were no significant differences between the two groups in terms of activated brain regions [false discovery rate (FDR) corrected to p < 0.05]. Regarding button-press decisions, the areas of the brain that were commonly activated in both the NG and EG were primarily located in the frontoparietal cognitive area, temporal cortex, and cuneus cortex. Notably, the left superior temporal gyrus, left inferior temporal gyrus, and left middle occipital gyrus exhibited greater activation in the NG compared to those in the EG (FDR corrected to p < 0.05).ConclusionThis study demonstrated that during motor video observation, the EG’s sports experience and professional knowledge can help them achieve better visual information processing strategies in specific areas of sports. During button decision-making, the EG was more economical, whereas the NG required more brain function activity to process visual information, confirming the “neural efficiency” hypothesis.

Abstract The lithiation/delithiation properties of α‐Si3N4 and β‐Si3N4 are compared and the carbon coating effects are examined. Then, β‐Si3N4 at various fractions is used as the secondary phase in a Si anode to modify the electrode properties. The incorporated β‐Si3N4 decreases the crystal size of Si and introduces a new NSiO species at the β‐Si3N4/Si interface. The nitrogen from the milled β‐Si3N4 diffuses into the surface carbon coating during the carbonization heat treatment, forming pyrrolic nitrogen and CNO species. The synergistic effects of combining β‐Si3N4 and Si phases on the specific capacity are confirmed. The operando X‐ray diffraction and X‐ray photoelectron spectroscopy data indicate that β‐Si3N4 is partially consumed during lithiation to form a favorable Li3N species at the electrode. However, the crystalline structure of the hexagonal β‐Si3N4 is preserved after prolonged cycling, which prevents electrode agglomeration and performance deterioration. The carbon‐coated β‐Si3N4/Si composite anode shows specific capacities of 1068 and 480 mAh g−1 at 0.2 and 5 A g−1, respectively. A full cell consisting of the carbon‐coated β‐Si3N4/Si anode and a LiNi0.8Co0.1Mn0.1O2 cathode is constructed and its properties are evaluated. The potential of the proposed composite anodes for Li‐ion battery applications is demonstrated.

Background Ischemic lesions observed on diffusion‐weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and functional outcomes after ICH. Methods and Results This was a retrospective observational analysis of 1167 patients who received magnetic resonance imaging in the ERICH (Ethnic and Racial Variations in Intracerebral Hemorrhage) study. A machine learning strategy using the elastic net regularization and selection procedure was used to perform automated variable selection to identify final multivariable logistic regression models. Sensitivity analyses with alternative model development strategies were performed, and predictive performance was compared. After covariate adjustment, white matter hyperintensity score, leukocyte count on admission, and non‐Hispanic Black race (compared with non‐Hispanic White race) were associated with the presence of DWI lesions. History of ICH and ischemic stroke, presence of DWI lesions, deep ICH location (versus lobar), ICH volume, age, lower Glasgow Coma Score on admission, and medical history of diabetes were associated with poor 6‐month modified Rankin Scale outcome (4–6) after covariate adjustment. Inclusion of interactions between race and ethnicity and variables included in the final multivariable model for functional outcome improved model performance; a significant interaction between race and ethnicity and medical history of diabetes and serum blood glucose on admission was observed. Conclusions No measure of hyperglycemia or diabetes was associated with presence of DWI lesions. However, both medical history of diabetes and presence of DWI lesions were independently associated with poor functional outcomes after ICH.

Abstract The ability to synthesize compositionally complex nanostructures rapidly is a key to high‐throughput functional materials discovery. In addition to being time‐consuming, a majority of conventional materials synthesis processes closely follow thermodynamics equilibria, which limit the discovery of new classes of metastable phases such as high entropy oxides (HEO). Herein, a photonic flash synthesis of HEO nanoparticles at timescales of milliseconds is demonstrated. By leveraging the abrupt heating and cooling cycles induced by a high‐power‐density xenon pulsed light, mixed transition metal salt precursors undergo rapid chemical transformations. Hence, nanoparticles form within milliseconds with a strong affinity to bind to the carbon substrate. Oxygen evolution reaction (OER) activity measurements of the synthesized nanoparticles demonstrate two orders of magnitude prolonged stability at high current densities, without noticeable decay in performance, compared to commercial IrO2 catalyst. This superior catalytic activity originates from the synergistic effect of different alloying elements mixed at a high entropic state. It is found that Cr addition influences surface activity the most by promoting higher oxidation states, favoring optimal interaction with OER intermediates. The proposed high‐throughput method opens new pathways toward developing next‐generation functional materials for various electronics, sensing, and environmental applications, in addition to renewable energy conversion.

One new compound with an isoindolinone skeleton, along with erinacines A, C, and S, was isolated from the mycelia of Hericium erinaceus, an edible fungus with a long history of use in traditional Chinese medicine. Based on analysis of MS and NMR spectral data, the structure of the compound was identified as (2E,6E)-8-(2-(1-carboxy-3-methylbutyl)-4,6-dihydroxy-1-oxoisoindolin-5-yl)-2,6-dimethylocta-2,6-dienoic acid. In light of this discovery, we have given this compound the name erinacerin W. Using a co-culture in vitro LPS-activated BV2 microglia-induced SH-SY5Y neuroinflammation model, the results showed that erinacerin W demonstrated protection against the LPS-activated BV-2 cell-induced overexpression of IL-6, IL-1β, and TNF-α on SH-SY5Y cells. This finding may provide potential therapeutic approaches for central nervous disorders.

Chemical resistance sensors stand out among many gas sensing methods because of their simple structure, low-cost fabrication, facile integration with various electronic devices, and quick analysis; therefore, presently, they are widely used for gas sensing. Chemical resistance sensing is achieved by changing the electronic distribution of the sensing material. Among these chemical resistance sensors, the selective adsorption of gases and the corresponding detection of sensitive materials in the resistance sensor used for detecting volatile organic compounds (VOCs) are very important. In addition, measures to ensure the selectivity of detection are necessary. Therefore, the specific surface area, pore size and functional groups of sensing materials, and some auxiliary materials determine the response and sensitivity of the sensor. Metal-organic framework materials (MOFs) are a new class of organic-inorganic hybrid materials. It is characterized by rich porosity, high specific surface area, structural diversity, and chemical stability, making it exhibit good potential in the gas storage and separation field, catalysis field, and chemical sensing field. Some MOF derivatives, in addition to their properties, such as good electrical conductivity, have characteristics of MOF, such as high specific surface area. Therefore, MOF and its derivatives have been widely studied and applied as sensitive materials and filter media in gas sensors. Some MOF and MOF derivatives can be used as sensitive materials for chemical resistance sensors to improve the response to VOCs, and MOF membranes can also be used for their selective adsorption as a filter layer to improve the selectivity of sensors to the target gas. In this paper, the basic principle of chemical resistance sensors, the role, principle, and application of MOF and MOF derivatives in the detection of volatile organic compounds by resistance sensors are summarized, and the development prospect and challenges are discussed.

Abstract Background Cerebral infarction (CI) is an unusual complication in patients with bleeding disorders. To our knowledge, this is the first case of postoperative internal border-zone infarction (I-BZI) from Hemophilia A. Case presentation We present a case of Hemophilia A developing I-BZI, after surgical treatment of giant hemophilic pseudotumor. A 36-year-old man was introduced from other hospital by Hemophilia with giant hemophilic pseudotumor in his left thigh. Patient and his relatives did not have a history of thrombophilia. After excluding the relevant surgical contraindications, we performed the operation of pseudotumor resection. Prior to surgery, blood tests revealed hemoglobin of 137 g/L. FVIII activity was 1.5%. Activated partial thromboplastin time (APTT) was 71.50 s and D-dimer was 3.33 mg/L FEU. Immediately before surgery, the patient received an intravenous infusion of FVIII products (Xyntha®) at a dose of 3500 IU for his body weight of 80 kg. Post-operative day two (POD2), patient developed vomiting, decreased response, and dysarthria. Hemoglobin was 54 g/L with blood pressure of 110/70 mmHg. Magnetic resonance imaging of the brain showed there were multiple acute cerebral infarctions in bilateral lateral ventricles (internal border zone) and multiple ischemic foci in the white matter areas and basal ganglia of the bilateral cerebral hemispheres. This case suggested that acute severe anemia can be one of the causes of I-BZI. Conclusions For the treatment of I-BZI caused by acute anemia from Hemophilia A, volume expansion, red blood cell supplement and continuous improvement of coagulation with suitable dose of factor VIII (FVIII) should be considered to improve prognosis.

Guanylate-binding proteins (GBP) have a function in inflammasome formation and pathogen defence. Here the authors show that these GBP proteins are able to kill certain bacteria and promote selective inflammasome activation and that this is mediated by specific GBP protein regions.

Objective To investigate the predictive function of miR-200c level in peripheral blood on acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation. Methods Fifty-one patients who received allo-HSCT in hematology department of our hospital from January 2014 to October 2018 were selected as the research subjects. According to the principle of whether agVHD occurred after transplantation, 33 patients were in the experimental group (with aGVHD) and 18 patients were in the control group (without aGVHD). RT-qPCR was used to detect miR-200c in two groups and the differences in miR-200c expression between the two groups were analyzed. Results The transplantation was successful in both groups, and the hematopoietic function was restored. The recovery time was 18 days, among which 33 patients developed aGVHD and 18 patients did not develop aGVHD, with an incidence of 64.71%. The expression of miR-200c in experimental group was lower than that in control group before transplantation and 7, 14, and 72 d after transplantation (P＜0.05). MiR-200c in peripheral blood after the occurrence of aGVHD was significantly lower than that before the occurrence(P＜0.001). Compared with aGVHD Ⅱ, the expression of miR-200c in peripheral blood of aGVHD Ⅱ patients was down-regulated (P＜0.05); as compared with aGVHD Ⅲ patients, the expression of miR-200c in peripheral blood of aGVHD Ⅲ patients was down-regulated (P＜0.001); the 2-year survival rate in the high expression group of miR-200c was higher than that in the low expression group (P＜0.05). Conclusions The reduced level of miR-200c is associated with the occurrence of aGVHD after allogeneic hematopoietic stem cell transplantation. With the increase of the severity of aGVHD the expression level of miR-200c is decreased, and the survival rate of patients with low miR-200c expression is low, so the expression of miR-200 is a potential marker for early diagnosis and prediction of aGVHD.

Abstract Nonlinear light–matter interaction, as the core of ultrafast optics, bulk photovoltaics, nonlinear optical sensing and imaging, and efficient generation of entangled photons, has been traditionally studied by first-principles theoretical methods with the sum-over-states approach. However, this indirect method often suffers from the divergence at band degeneracy and optical zeros as well as convergence issues and high computation costs when summing over the states. Here, using shift vector and shift current conductivity tensor as an example, we present a gauge-invariant generalized approach for efficient and direct calculations of nonlinear optical responses by representing interband Berry curvature, quantum metric, and shift vector in a generalized Wilson loop. This generalized Wilson loop method avoids the above cumbersome challenges and allows for easy implementation and efficient calculations. More importantly, the Wilson loop representation provides a succinct geometric interpretation of nonlinear optical processes and responses based on quantum geometric tensors and quantum geometric potentials and can be readily applied to studying other excited-state responses.

Air pollution has been linked to respiratory diseases, and urban air pollution can be attributed to a number of emission sources. The emitted particles and gases are the primary components of air pollution that enter the lungs during respiration. Particulate matter with an aerodynamic diameter of ≤ 2.5 µm (PM2.5) can deposit deep into the respiratory tract via inhalation and has been proposed as a causative agent for adverse respiratory health. In addition, the lung contains a diverse microbial community (microbiome) that maintains normal homeostasis and is significantly altered in a variety of pulmonary disorders. Air pollution, specifically PM2.5, has previously been shown to significantly alter the composition of the lower airway microbiome, which has been linked to decreased lung function in chronic obstructive pulmonary disease (COPD) patients. Surprisingly, the intestinal microbiome has also been implicated in the modulation of pulmonary inflammatory diseases. Therefore, dysbiosis of the lung and intestinal microbiomes pose significant negative effects on human health.This dataset describes the microbial community profiles of the lungs and intestines of ageing rats exposed to ambient unconcentrated traffic-related air pollution for three months. The whole-body exposure system was equipped with and without high efficiency particulate air (HEPA) filtration (gaseous vs. PM2.5 pollution). The data can provide valuable information on lung and intestinal microbiome changes, including that which was only found after traffic-related air pollution exposure.

Abstract Synthetic biology has been represented by the creation of artificial life forms at the genomic scale. In this work, a CRISPR‐based chromosome‐doubling technique is designed to first construct an artificial diploid Escherichia coli cell. The stable single‐cell diploid E. coli is isolated by both maximal dilution plating and flow cytometry, and confirmed with quantitative PCR, fluorescent in situ hybridization, and third‐generation genome sequencing. The diploid E. coli has a greatly reduced growth rate and elongated cells at 4–5 µm. It is robust against radiation, and the survival rate after exposure to UV increased 40‐fold relative to WT. As a novel life form, the artificial diploid E. coli is an ideal substrate for research fundamental questions in life science concerning polyploidy. And this technique may be applied to other bacteria.

Abstract Miniature pigs are an ideal animal model for translational research to evaluate stem cell therapies and regenerative applications. While the derivation of induced pluripotent stem cells (iPSCs) from miniature pigs has been demonstrated, there is still a lack of a reliable method to generate and maintain miniature pig iPSCs. In this study, we derived iPSCs from fibroblasts of Wisconsin miniature swine (WMS), Yucatan miniature swine (YMS), and Göttingen minipigs (GM) using our culture medium. By comparing cells of the different pig breeds, we found that YMS fibroblasts were more efficiently reprogrammed into iPSCs, forming colonies with well-defined borders, than WMS and GM fibroblasts. We also demonstrated that YMS iPSC lines with a normal pig karyotype gave rise to cells of the three germ layers in vitro and in vivo. Mesenchymal stromal cells expressing phenotypic characteristics were derived from established iPSC lines as an example of potential applications. In addition, we found that the expression level of the switch/sucrose nonfermentable component BAF60A regulated by STAT3 signaling determined the efficiency of pig iPSC generation. The findings of this study provide insight into the underlying mechanism controlling the reprogramming efficiency of miniature pig cells to develop a viable strategy to enhance the generation of iPSCs for biomedical research.

Abstract The nonlinear optical (NLO) responses of topological materials are under active research. Most previous works studied the surface and bulk NLO responses separately. Here we develop a generic Green’s function framework to investigate the surface and bulk NLO responses together. We reveal that the topological surface can behave disparately from the bulk under light illumination. Remarkably, the photocurrents on the surface can flow in opposite directions to those in the bulk interior, and the light-induced spin current on the surface can be orders of magnitude stronger than its bulk counterpart on a per-volume basis. We also study the responses under inhomogeneous field and higher-order NLO effect, which are all distinct on the surface. These anomalous surface responses suggest that light can be a valuable tool for probing the surface states of topological materials. Besides, the surface effects should be prudently considered when investigating the optical properties of topological materials.