Intrinsic dipole Hall effect in twisted MoTe2: magnetoelectricity and contact-free signatures of topological transitions.

We discover an intrinsic dipole Hall effect in a variety of magnetic insulating states at integer fillings of twisted MoTe2 moiré superlattice, including topologically trivial and nontrivial ferro-, antiferro-, and ferri-magnetic configurations. The dipole Hall current, in linear response to in-plane electric field, generates an in-plane orbital magnetization M∥ along the field, through which an AC field can drive magnetization oscillation up to THz range. Upon the continuous topological phase transitions from trivial to quantum anomalous Hall states in both ferromagnetic and antiferromagnetic configurations, the dipole Hall current and M∥ have an abrupt sign change, enabling contact-free detection of the transitions through the magnetic stray field. In configurations where the linear response is forbidden by symmetry, the dipole Hall current and M∥ appear as a crossed nonlinear response to both in-plane and out-of-plane electric fields. These magnetoelectric phenomena showcase fascinating functionalities of insulators from the interplay between magnetism, topology, and electrical polarization.

Association between dietary glycine intake and the prevalence of hypertension, hyperlipidemia, overweight or obesity in rural northern China: a cross-sectional study.

Objective: The objective of this research is to investigate the relationship between dietary glycine consumption and the prevalence of hypertension, hyperlipidemia, and overweight or obesity in economically disadvantaged areas of northern China using a cross-sectional study design. Methods: A cross-sectional study involving 774 participants utilized a web-based dietary questionnaire (IDQC) and underwent physical measurements. Data analysis was conducted using IBM SPSS Statistics software (Version 21). Participants were stratified into four groups based on quartiles of their dietary glycine intake: Q1 (<1.32), Q2 (1.32-1.82), Q3 (1.82-2.26), and Q4 (>2.26). Continuous variables were reported as mean ± standard deviation and compared using ANOVA or the Kruskal-Wallis test, while categorical variables were presented as frequencies (%) and compared using the chi-square test. Finally, multivariable logistic regression with p-value of less than 0.05 was considered statistically significant. Results: Significant differences in dietary glycine intake were observed between the highest quartile group (Q4) and the lowest quartile group (Q1), with corresponding dominance ratios of 0.590 (95% CI, 0.360-0.966), 0.547 (95% CI, 0.327-0.913), and 0.547 (95% CI, 0.353-0.850) for the risk of hypertension, hyperlipidemia, and overweight/obesity, respectively. Furthermore, no significant correlation was found between dietary glycine intake and hypertension or hyperlipidemia within each sex and age subgroup. Conclusion: There exists a potential correlation between increased dietary glycine intake and reduced prevalence of hypertension, hyperlipidemia, and overweight/obesity. However, additional research is necessary to validate this finding through larger-scale studies conducted at a population level.

High-performance deep spiking neural networks via at-most-two-spike exponential coding.

Spiking neural networks (SNNs) provide necessary models and algorithms for neuromorphic computing. A popular way of building high-performance deep SNNs is to convert ANNs to SNNs, taking advantage of advanced and well-trained ANNs. Here we propose an ANN to SNN conversion methodology that uses a time-based coding scheme, named At-most-two-spike Exponential Coding (AEC), and a corresponding AEC spiking neuron model for ANN-SNN conversion. AEC neurons employ quantization-compensating spikes to improve coding accuracy and capacity, with each neuron generating up to two spikes within the time window. Two exponential decay functions with tunable parameters are proposed to represent the dynamic encoding thresholds, based on which pixel intensities are encoded into spike times and spike times are decoded into pixel intensities. The hyper-parameters of AEC neurons are fine-tuned based on the loss function of SNN-decoded values and ANN-activation values. In addition, we design two regularization terms for the number of spikes, providing the possibility to achieve the best trade-off between accuracy, latency and power consumption. The experimental results show that, compared to other similar methods, the proposed scheme not only obtains deep SNNs with higher accuracy, but also has more significant advantages in terms of energy efficiency and inference latency. More details can be found at https://github.com/RPDS2020/AEC.git.

Anomalous Hall effect and magnetic transition in the kagome material YbMn6Sn6.

We investigate the magnetic and transport properties of a kagome magnet YbMn6Sn6. We have grown YbMn6Sn6single crystals having a HfFe6Ge6type structure with ordered Yb and Sn atoms, which is different from the distorted structure previously reported. The single crystal undergoes a ferromagnetic phase transition around 300 K and a ferrimagnetic transition at approximately 30 K, and the magnetic transition at low temperature may be correlated to the ordered Yb sublattice. Negative magnetoresistance has been observed at high temperatures, while the positive magnetoresistance appears at 5 K when the current is oriented out of kagome plane. We observe a large anisotropic anomalous Hall effect with the intrinsic Hall contribution of 141 Ω-1cm-1forσzxintand 32 Ω-1cm-1forσxyint, respectively. These values are similar to those in YMn6Sn6with the same anisotropy. The magnetic transition and anomalous Hall behavior in YbMn6Sn6highlights the influence of the ordered Yb atoms and rare earth elements on its magnetic and transport properties.

Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study.

Purpose: To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients. Patients and Methods: A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3. Results: Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279). Conclusion: Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.

Research progress of artificial blood / 基础医学与临床

Artificial blood is a type of liquid preparation with oxygen-loading capacity and can temporarily substitute some function of blood.The developed artificial blood can be divided into four categories:artificial synthetic hemo-globin,artificial red blood cells made from natural hemoglobin,perfluorocarbons,and stem cell-differentiated red blood cells.This review focuses on the domestic and foreign research progress of artificial blood in recent years,and discusses its clinical application value,development trend,and future research,in order to provide new ideas to the development the artificial blood products and promote clinical application.

Research progress on care dependence in elderly stroke patients / 新乡医学院学报

Care dependence refers to a complex and comprehensive state of being dependent on others due to the limita-tion of physical functions caused by the disease.Elderly stroke patients are high risk group for care dependence due to decrease in self-care ability caused by their disease characteristics.Therefore,this paper reviews the current research status,influencing factors,and interventions of care dependence,in order to provide reference for increasing attention to the care needs of elderly stroke patients,reducing their dependence,and improving their quality of life.

Establishment and evaluation of a RAA-CRISPR-Cas13a method for detecting KPC carbapenemase genes / 中华检验医学杂志

Objective:To establish a rapid and accurate method for the detection of Klebsiella pneumoniae carbapenemase (KPC) carbapenemase gene based on recombinase aided amplification (RAA)-CRISPR-Cas13a (CRISPR-Cas13a) technology. Methods:Twenty-five clinical isolates of carbapenem-resistant Klebsiella pneumoniae (CRKP) and five carbapenem-sensitive Klebsiella pneumoniae (CSKP) strains preserved in 2020-2021 in Beijing Chuiyangliu Hospital were randomly collected, and the total DNA samples of the strains was extracted. RAA primers specific for KPC DNA and CRISPR RNA (crRNA) were designed to establish a rapid and accurate method for the detection of KPC carbapenemase gene based on RAA-CRISPR-Cas13a technology. The method was evaluated by plasmids and clinical sample strains, and the detection was also performed by Quantitative real-time PCR (qPCR) method to compare the detection rate and consistency of the two methods. Results:The RAA-CRISPR-Cas13a method can detect KPC plasmids and samples with a sensitivity of 1 copy/μl, which is higher than that of qPCR (10 1 copies/μl). Among the 30 clinical strains (including 25 CRKP strains and 5 CSKP strains), 23 strains were detected to carry KPC gene by both RAA-CRISPR-Cas13a method and qPCR method, and 7 strains were not detected with KPC gene. The detection rate of KPC gene in the 25 CRKP strains was 92% (23/25). The positive coincidence rate of the two methods was 100% (23/23). Conclusions:This study combined RAA amplification technology with CRISPR-Cas13a technology to establish a rapid and accurate method for detecting KPC carbapenemase gene. The method is useful for accurate screening of KPC carbapenemase-producing strains. It has a wide application prospect in drug resistance monitoring and infection control.

Exosomes combined with biosynthesized cellulose conduits improve peripheral nerve regeneration.

Peripheral nerve injury is one of the more common forms of peripheral nerve disorders, and the most severe type of peripheral nerve injury is a defect with a gap. Biosynthetic cellulose membrane (BCM) is a commonly used material for repair and ligation of nerve defects with gaps. Meanwhile, exosomes from mesenchymal stem cells can promote cell growth and proliferation. We envision combining exosomes with BCMs to leverage the advantages of both to promote repair of peripheral nerve injury. Prepared exosomes were added to BCMs to form exosome-loaded BCMs (EXO-BCM) that were used for nerve repair in a rat model of sciatic nerve defects with gaps. We evaluated the repair activity using a pawprint experiment, measurement and statistical analyses of sciatica function index and thermal latency of paw withdrawal, and quantitation of the number and diameter of regenerated nerve fibers. Results indicated that EXO-BCM produced comprehensive and durable repair of peripheral nerve defects that were similar to those for autologous nerve transplantation, the gold standard for nerve defect repair. EXO-BCM is not predicted to cause donor site morbidity to the patient, in contrast to autologous nerve transplantation. Together these results indicate that an approach using EXO-BCM represents a promising alternative to autologous nerve transplantation, and could have broad applications for repair of nerve defects.

Programming correlated magnetic states with gate-controlled moiré geometry.

The ability to control the underlying lattice geometry of a system may enable transitions between emergent quantum ground states. We report in situ gate switching between honeycomb and triangular lattice geometries of an electron many-body Hamiltonian in rhombohedral (R)-stacked molybdenum ditelluride (MoTe2) moiré bilayers, resulting in switchable magnetic exchange interactions. At zero electric field, we observed a correlated ferromagnetic insulator near one hole per moiré unit cell with a widely tunable Curie temperature up to 14 K. Applying an electric field switched the system into a half-filled triangular lattice with antiferromagnetic interactions; further doping this layer-polarized superlattice tuned the antiferromagnetic exchange interaction back to ferromagnetic. Our work demonstrates R-stacked MoTe2 moirés to be a laboratory for engineering correlated states with nontrivial topology.

Phase Transition Engineering of Host Perovskite toward Optimal Exsolution-facilitated Catalysts for Carbon Dioxide Electrolysis.

The in situ exsolution technique of nanoparticles has brought new opportunities for the utilization of perovskite-based catalysts in solid oxide cells. However, the lack of control over the structural evolution of host perovskites during the promotion of exsolution has restricted the architectural exploitation of exsolution-facilitated perovskites. In this study, we strategically broke the long-standing trade-off phenomenon between promoted exsolution and suppressed phase transition via B-site supplement, thus broadening the scope of exsolution-facilitated perovskite materials. Using carbon dioxide electrolysis as an illustrative case study, we demonstrate that the catalytic activity and stability of perovskites with exsolved nanoparticles (P-eNs) can be selectively enhanced by regulating the explicit phase of host perovskites, accentuating the critical role of the architectures of perovskite scaffold in catalytic reactions occurring on P-eNs. The concept demonstrated could potentially pave the way for designing the advanced exsolution-facilitated P-eNs materials and unveiling a wide range of catalytic chemistry taking place on P-eNs.

Magneto-optical Kerr Effect in Ferroelectric Antiferromagnetic Two-Dimensional Heterostructures.

We studied the magneto-optical Kerr effect (MOKE) of two-dimensional (2D) heterostructure CrI3/In2Se3/CrI3 using density functional theory calculations and symmetry analysis. The spontaneous polarization in the In2Se3 ferroelectric layer and the antiferromagnetic ordering in CrI3 layers break the mirror and the time-reversal symmetry, thus activating MOKE. We show that the Kerr angle can be reversed by either the polarization or the antiferromagnetic order parameter. Our results suggest that ferroelectric and antiferromagnetic 2D heterostructures could be exploited for ultracompact information storage devices, where the information is encoded by the two ferroelectric or the two time-reversed antiferromagnetic states and the read-out is performed optically by MOKE.

Mechanism of Learning and Memory Impairment in Rats Exposed to Arsenic and/or Fluoride Based on Microbiome and Metabolome / 生物医学与环境科学（英文）

OBJECTIVE@#Arsenic (As) and fluoride (F) are two of the most common elements contaminating groundwater resources. A growing number of studies have found that As and F can cause neurotoxicity in infants and children, leading to cognitive, learning, and memory impairments. However, early biomarkers of learning and memory impairment induced by As and/or F remain unclear. In the present study, the mechanisms by which As and/or F cause learning memory impairment are explored at the multi-omics level (microbiome and metabolome).@*METHODS@#We stablished an SD rats model exposed to arsenic and/or fluoride from intrauterine to adult period.@*RESULTS@#Arsenic and/fluoride exposed groups showed reduced neurobehavioral performance and lesions in the hippocampal CA1 region. 16S rRNA gene sequencing revealed that As and/or F exposure significantly altered the composition and diversity of the gut microbiome，featuring the Lachnospiraceae_NK4A136_group, Ruminococcus_1, Prevotellaceae_NK3B31_group, [Eubacterium]_xylanophilum_group. Metabolome analysis showed that As and/or F-induced learning and memory impairment may be related to tryptophan, lipoic acid, glutamate, gamma-aminobutyric acidergic (GABAergic) synapse, and arachidonic acid (AA) metabolism. The gut microbiota, metabolites, and learning memory indicators were significantly correlated.@*CONCLUSION@#Learning memory impairment triggered by As and/or F exposure may be mediated by different gut microbes and their associated metabolites.

Research progress of the regulatory role of autophagy in metabolic liver diseases / 中华肝脏病杂志

Autophagy is one of several hepatic metabolic processes in which starved cells are supplied with glucose, free fatty acids, and amino acids to produce energy and synthesize new macromolecules. Moreover, it regulates the quantity and quality of mitochondria and other organelles. As the liver is a vital metabolic organ, specific forms of autophagy are necessary for maintaining liver homeostasis. Protein, fat, and sugar are the three primary nutrients that can be altered by different metabolic liver diseases. Drugs that have an effect on autophagy can either promote or inhibit autophagy, and as a result, it can either increase or inhibit the three major nutritional metabolisms that are affected by liver disease. Thus, this opens up a novel therapeutic option for liver disease.

Current research status of hepatitis D virus RNA detection / 临床肝胆病杂志

Hepatitis D caused by hepatitis D virus (HDV) infection is the most serious type of viral hepatitis. The prevalence rate of HDV has been seriously underestimated due to the lack of accurate HDV RNA detection methods. HDV RNA is the gold standard for the diagnosis of HDV infection and is of great significance in the diagnosis, screening, and treatment guidance of HDV. However, the multiple genotypes and strong secondary structure of HDV have led to great difficulties in HDV RNA detection. This article reviews the advances in HDV RNA detection methods and elaborates on the development from qualitative to quantitative detection methods, in order to provide new ideas for understanding the significance of HDV RNA detection and promoting the research and development of new HDV RNA detection methods.

Application progress of artificial intelligence in the screening and identification of drug targets / 中国药科大学学报

@#In recent years, artificial intelligence (AI) has developed rapidly, with improved computing power and algorithms, which has greatly facilitated the collection and processing of biological, chemical information and clinical data, injecting new vitality into the research and development of new drugs.In this review, we began with a brief overview of the development and the main algorithms of AI in drug discovery.Then we elaborated through several specific cases on the various scenarios of AI application, including target identification, protein structure prediction, hit generation and optimization etc.Finally, we focused on a recent example to discuss the high efficiency of "end-to-end" application of AI.

Analysis on Characteristics of Plantar Pressure and Balance in Patients with Chronic Nonspecific Low Back Pain / 医用生物力学

Objective To explore the difference of balance ability between patients with chronic nonspecific low back pain ( CNLBP) and healthy individuals, and the correlation between patients’ pain symptoms, lumbar flexibility, abdominal muscle endurance, overall function, quality of life and fear of avoidance with balance ability, so as to guide clinical rehabilitation evaluation. Methods A total of 34 patients with CNLBP were selected as the experimental group, and 34 healthy volunteers without history of low back pain were selected as control group. The plantar pressure measurement system was used to collect the ratio of forefoot to hindfoot pressure, pathlength ( L) of plantar center of pressure ( COP), displacement length in anteroposterior direction ( LAP ), displacement length in mediolateral direction (LML ), mean velocity (v), displacement velocity in anteroposterior direction (vAP ), displacement velocity in mediolateral direction (V-ML) and elliptical swing area (S). In addition,the experimental group was assessed by the visual analogue scale (VAS), the finger floor distance (FFD), the number of sit-ups in 1 minute, the Oswestry disability index (ODI), the 36-item short form survey (SF-36) and the fear avoidance beliefs questionnaire (FABQ), and correlated with plantar pressure parameters. Results All plantar pressure parameters were significantly different between the two groups ( P < 0. 05). The the ratio of forefoot to hindfoot pressure in experimental group was significantly lower than that in control group (P<0. 05), and the parameters L, LAP , LML , v, vAP , vML and S were significantly higher than those of control group (P<0. 05). With eyes open or closed, the VAS score of experimental group was positively correlated with L, LAP , LML(P<0. 05), and FFD and FABQ scores were positively correlated with L and LML , respectively (P< 0. 05). With eyes open, ODI was positively correlated with L, LAP and LML (P< 0. 05), and SF-36 score was negatively correlated with L and LML(P<0. 05). With eyes closed, the number of 1-min sit-ups was negatively correlated with LAP and S (P<0. 05), ODI was positively correlated with L and LML(P<0. 05), and the SF-36 score was negatively correlated with L (P<0. 05). Conclusions The static balance ability of patients with CNLBP is decreased, and it is correlated with pain symptoms, lumbar function, quality of life and psychological status. The result can provide references for the assessment of functional activities.

Serum Anti-Fumarate Hydratase Autoantibody as a Biomarker for Predicting Prognosis of Acute-on-Chronic Liver Failure

Background/Aims@#To investigate the autoantibody against fumarate hydratase (FH), which is a specific liver failure-associated antigen (LFAA) and determine whether it can be used as a biomarker to evaluate the prognosis of acute-on-chronic liver failure (ACLF). @*Methods@#An immunoproteomic approach was applied to screen specific LFAAs related to differential prognosis of ACLF (n=60). Enzyme-linked immunosorbent assay (ELISA) technology was employed for the validation of the frequency and titer of autoantibodies against FH in ACLF patients with different prognoses (n=82). Moreover, we clarified the expression of autoantibodies against FH in patients with chronic hepatitis B (n=60) and hepatitis B virus-related liver cirrhosis (n=60). The dynamic changes in the titers of autoantibodies against FH were analyzed by sample collection at multiple time points during the clinical course of eight ACLF patients with different prognoses. @*Results@#Ultimately, 15 LFAAs were screened and identified by the immunoproteomic approach.Based on ELISA-based verification, anti-FH/Fumarate hydratase protein autoantibody was chosen to verify its expression in ACLF patients. ACLF patients had a much higher anti-FH autoantibody frequency (76.8%) than patients with liver cirrhosis (10%, p=0.000), patients with chronic hepatitis B (6.7%, p=0.022), and normal humans (0%, p=0.000). More importantly, the frequency and titer of anti-FH protein autoantibodies in the serum of ACLF patients with a good prognosis were much higher than that of patients with a poor prognosis (83.9% vs 61.5%, p=0.019; 1.41±0.85 vs 0.94±0.56, p=0.017, respectively). The titer of anti-FH autoantibodies showed dynamic changes in the clinical course of ACLF. @*Conclusions@#The anti-FH autoantibody in serum may be a potential biomarker for predicting the prognosis of ACLF.