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Abstract Japanese encephalitis virus (JEV) is a neurotropic and neuroinvasive flavivirus causing viral encephalitis, which seriously threatens the development of animal husbandry and human health. DNA methylation is a major epigenetic modification involved in viral pathogenesis, yet how DNA methylation affects JEV infection remains unknown. Here, we show genome-wide DNA methylation profiles in the brains of JEV-infected mice compared to mock-infected mice. JEV can significantly increase the overall DNA methylation levels in JEV-infected mouse brains. A total of 14,781 differentially methylated regions associated genes (DMGs) have been identified. Subsequently, KEGG pathway analysis suggested that DNA methylation modulates the tight junction signaling pathway, which can potentially impact the permeability of the blood-brain barrier (BBB). We demonstrate that hypermethylation of the tight junction gene Afdn promoter inhibited AFDN expression and increased monolayer permeability of mouse brain microvascular endothelial (bEnd.3) cells in an in vitro transwell assay. Collectively, this study reveals that DNA methylation is increased in a murine Japanese encephalitis model and that modulation of Afdn expression promotes BBB permeability.

In order to study the quality change of coffee malt premixed powder with the extension of storage period, the coffee malt premixed powder was stored at the environment where the temperature is 25 ℃ and 35 ℃, respectively, and the relative humidity is 50% respectively. Its moisture, fatty acid value and falling value were monitored during the whole storage period. The volatile compounds were separated and identified by solid phase microextraction accompanying gas chromatography-mass spectrometry during the whole storage period. The results demonstrated that with the extension of storage period, the overall moisture content shows a falling trend, while the fatty acid value and falling value show an overall rising trend. The higher the storage temperature, the more significant the change is 41 kinds of main volatile compounds of coffee malt ready mixed powder were identified. It mainly includes 13 kinds of aldehydes, 15 kinds of heterocycles, 7 kinds of esters, 4 kinds of alcohols and 2 kinds of ketones. Among them, the relative concentration of aldehydes (n-hexanal, nonanal, trans-2-nonenal) showed an increasing trend with the extension of storage period.

In the window function spectrum of the low signal-to-noise ratio photon Doppler signal after the short-time Fourier transform, the weak beat frequency cannot be obtained by extracting the maximum amplitude spectrum frequency of each window because the amplitude of the noise spectrum exceeds the weak beat frequency. In this article, the value of the beat frequency is first estimated by the Kalman filter. Then, a multiple analytical bandpass filter is constructed to refine the spectrum of the high noise signal with the value of the beat frequency estimate as the spectrum band center. This technique extracts only the beat frequencies from the narrowband refinement spectrum by removing the interference spectrum band range. We use this technique to process the photon Doppler signals from the tiny high-speed flying fragments explosion experiment. After data processing, the beat frequency value heavily affected by high-frequency noise can reduce the error by up to 64.9%. The beat frequency value of the low noise signal can be accurate to 106 Hz, equivalent to 0.775 m/s after velocity demodulation. This method fully considers the positioning and protection of the beat frequency characteristics. It makes weak beat frequencies more obvious in the refined narrowband spectrum without changing the signal amplitude. This article describes a method for extracting the weak beat frequency of the photon Doppler signal or a signal optimization algorithm for needing high-precision beat frequencies in a test environment.

BackgroundMental health disorders in patients with multi-drug or rifampicin-resistant tuberculosis (MDR/RR-TB) receive consistent attention. Anxiety and depression can manifest and may impact disease progression in patients with MDR/RR-TB. Given the heightened stressors resulting from the COVID-19 pandemic, this scenario is even more concerning.ObjectiveTo evaluate the prevalence of and risk factors associated with anxiety and depression among patients with MDR/RR-TB in southern China.MethodsA facility-based cross-sectional study was undertaken at Guangzhou Chest Hospital in southern China, encompassing a cohort of 219 patients undergoing outpatient and inpatient treatment for MDR/RR-TB. Anxiety and depressive symptoms were assessed using the 7-Item Generalized Anxiety Disorder (GAD-7) scale and Patient Health Questionnaire-9 (PHQ-9). The ramifications of anxiety and depression were examined using univariate and multivariate logistic regression analyses, with odds ratios (ORs) and age- and sex-adjusted ORs (AORs) employed to quantify their influence. All data underwent statistical analysis using SPSS 25.0, with statistical significance established at P < 0.05.ResultsTwo hundred and nineteen individuals with MDR/RR-TB were included in the study. The prevalence of anxiety and depression was 57.53% (n = 126) and 65.75% (n = 144), respectively, with 33.3% (n = 73) of the participants experiencing both conditions simultaneously. Multivariate logistic regression analysis revealed that an age of 20–40 years [anxiety AOR = 3.021, 95% confidence interval (CI): 1.240–7.360; depression AOR = 3.538, 95% CI: 1.219–10.268], disease stigma (anxiety AOR = 10.613, 95% CI: 2.966–37.975; depression AOR = 4.514, 95% CI: 2.051–10.108) and poor physical health (anxiety AOR = 7.636, 95% CI: 2.938–19.844; depression AOR = 6.190, 95% CI: 2.468–15.529) were significant risk factors for moderate levels of anxiety and depression.ConclusionsWe found that individuals with MDR/RR-TB had an elevated risk of anxiety and depression. To decrease the likelihood of unfavorable treatment outcomes, it is imperative to carefully monitor the psychological wellbeing of patients with MDR/RR-TB and promptly address any detrimental psychiatric conditions.

Reducing carbon emissions is a basic policy long insisted on by the Chinese government, and the calculation of carbon footprint is of great application significance for reducing carbon emissions and realizing green consumption. Based on the multi-objective planning model this paper establishes a carbon footprint assessment model based on multi-objective planning from the economic, environmental, and social benefits of carbon footprint. It optimizes the particle swarm algorithm to solve the objective function of the carbon footprint multi-objective assessment model. The designed model is utilized in green consumption decision-making to forecast the carbon footprint and structure of green energy consumption in the future. The comparison shows that after the optimization of the carbon footprint assessment model based on multi-objective planning designed in this paper, the proportion of coal and oil consumption in the carbon footprint of energy consumption decreases by 1.2% and 0.5%, respectively, and the energy intensity can be optimized. The per capita carbon footprint of energy consumption of residents in eastern, central, and western China grows by 11.3%, 15.2%, and 2.7%, respectively, from 2024 to 2026. The carbon footprint of per capita energy consumption in the three regions is quite different. The results of the two projections show that the carbon footprint assessment model based on multi-objective planning designed in this paper is important for improving the energy consumption structure in different regions and realizing green consumption decisions.

Abstract Background The procession of preadipocytes differentiation into mature adipocytes involves multiple cellular and signal transduction pathways. Recently. a seirces of noncoding RNAs (ncRNAs), including circular RNAs (circRNAs) were proved to play important roles in regulating differentiation of adipocytes. Result In this study, we aimed to identificate the potential circRNAs in the early and late stages of goat intramuscular adipocytes differentiation. Using bioinformatics methods to predict their biological functions and map the circRNA-miRNA interaction network. Over 104 million clean reads in goat intramuscular preadipocytes and adipocytes were mapped, of which16 circRNAs were differentially expressed (DE-circRNAs). Furthermore, we used real-time fluorescent quantitative PCR (qRT-PCR) technology to randomly detect the expression levels of 8 circRNAs among the DE-circRNAs, and our result verifies the accuracy of the RNA-seq data. From the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the DE-circRNAs, two circRNAs, circ_0005870 and circ_0000946, were found in Focal adhesion and PI3K-Akt signaling pathway. Then we draw the circRNA-miRNA interaction network and obtained the miRNAs that possibly interact with circ_0005870 and circ_0000946. Using TargetScan, miRTarBase and miR-TCDS online databases, we further obtained the mRNAs that may interact with the miRNAs, and generated the final circRNA-miRNA-mRNA interaction network. Combined with the following GO (Gene Ontology) and KEGG enrichment analysis, we obtained 5 key mRNAs related to adipocyte differentiation in our interaction network, which are FOXO3(forkhead box O3), PPP2CA (protein phosphatase 2 catalytic subunit alpha), EEIF4E (eukaryotic translation initiation factor 4), CDK6 (cyclin dependent kinase 6) and ACVR1 (activin A receptor type 1). Conclusions By using Illumina HiSeq and online databases, we generated the final circRNA-miRNA-mRNA interaction network that have valuable functions in adipocyte differentiation. Our work serves as a valuable genomic resource for in-depth exploration of the molecular mechanism of ncRNAs interaction network regulating adipocyte differentiation.

In this paper, 66 samples belonging to 12 varieties of domestic high-gluten wheat in 2021 were collected, and their physicochemical, rheological and bread sensory properties were analyzed. The results of the main component analysis showed that the total sensory score of bread had a strong correlation with gluten index, maximum tensile resistance, mixing time, stretching area and stabilization time, etc. At the same time, the screening of wheat varieties with high similarity through cluster analysis could play a key guiding role in the development and maintenance of production stability of baking special flour. Comparing the fitting quality of the bread total sensory score prediction model established by the three methods of stepwise regression, partial least squares and neural network model, the model built using artificial neural network was significantly better than other models. Using neural network models, the baking characteristics of different varieties of wheat could be quickly predicted, ensuring product stability, while also facilitating the development of more targeted baking special flours.

Hemophilia is the only rare hereditary hemorrhagic disorder included in the First Rare Diseases catalogue. However, rare bleeding diseases identified in the clinic are far more common than hemophilia. Most other rare hemorrhagic disorders have less effective treatment than hemophilia. Hemophilia has a history of successful drug development in rare hemorrhagic diseases, and the cycle between clinical research and drug development has been gradually realized. Drug research and pharmaceutical companies can refer to the drug research and development process in the field of hemophilia, learn from the experience of hemophilia drug research and develop treatments. The industry can increase drug development by strengthening basic research, focusing on the value of natural history research, the application of quantitative pharmacological tools and improving the efficiency of drug development to meet the urgent unmet medical needs of patients with rare hemorrhagic diseases.

Leveraging external controls – relevant individual patient data under control from external trials or real-world data – has the potential to reduce the cost of randomized controlled trials (RCTs) while increasing the proportion of trial patients given access to novel treatments. However, due to lack of randomization, RCT patients and external controls may differ with respect to covariates that may or may not have been measured. Hence, after controlling for measured covariates, for instance by matching, testing for treatment effect using external controls may still be subject to unmeasured biases. In this article, we propose a sensitivity analysis approach to quantify the magnitude of unmeasured bias that would be needed to alter the study conclusion that presumed no unmeasured biases are introduced by employing external controls. Whether leveraging external controls increases power or not depends on the interplay between sample sizes and the magnitude of treatment effect and unmeasured biases, which may be difficult to anticipate. This motivates a combined testing procedure that performs two highly correlated analyses, one with and one without external controls, with a small correction for multiple testing using the joint distribution of the two test statistics. The combined test provides a new method of sensitivity analysis designed for data fusion problems, which anchors at the unbiased analysis based on RCT only and spends a small proportion of the type I error to also test using the external controls. In this way, if leveraging external controls increases power, the power gain compared to the analysis based on RCT only can be substantial; if not, the power loss is small. The proposed method is evaluated in theory and power calculations, and applied to a real trial.

ObjectiveTo analyze the case, scene and forensic pathological characteristics of sudden unexpected death in epilepsy （SUDEP）, to provide a practical basis for forensic identification.MethodsA total of 9 autopsy cases of SUDEP were collected. The basic information of the cases, the scene characteristics, the forensic pathological changes, the common drugs and antiepileptic drug test results, and pericardial fluid biochemical test results were analyzed.ResultsAll of the 9 cases were male epilepsy patients died during sleep at night, the age of death was （37.1±8.6） years, and the course of epilepsy was （21.3±5.6） years. Six corpses were in prone position and three in left lateral position. The hemorrhage of the sternocleidomastoid muscle, sternal thyroid muscle and sternohyoid muscle were found with 8 cases, 5 cases and 4 cases, respectively, all of them were unilateral. Six cases had bilateral hemorrhage of pectoralis minor muscle. Brain edema, phagocytosis of frontotemporal neurons and gliosis, cardiac fibers bend in wavy patterns and eosinophilic staining enhancement, pulmonary edema, pulmonary congestion, alveolar hemorrhage, pulmonary small bronchiole wall shrinking, tubular proteinuria and pancreatic parenchymal hemorrhage were the common histopathological changes. The biochemical test results of pericardial fluid indicated that there were myocardial ischemic damage.ConclusionYoung male, early onset, long course of disease, sleep in the prone position, poor drug compliance or combination, epileptic seizure may be the risk factors of SUDEP. Cardiac dysfunction and respiratory depression might be the main death mechanism of SUDEP.

ObjectiveTo explore the influencing factors of the horizontal distance of bodies in the high falling scene and the feasibility of inferring the falling mode based on it.MethodsA total of 614 high falling deaths and 15 cases of corpse dumping from high altitudes were collected. The relationship between the horizontal distance and the falling height, as well as the sex, age and manner of death （suicide, accident and corpse dumping） were observed.ResultsThe horizontal distance increased with the increase of falling height, and the difference among the height groups was statistically significant. The horizontal distance decreased with the increase of the age of the deceased, in each height group, the difference between the group over 60 years old and other age groups was statistically significant （P20-30 m group, there was no significant difference in horizontal distance between suicide high falls and accidental high falls in other height groups.ConclusionThe horizontal distance is affected by the falling height, the sex and age of the victim, and the spatial characteristics of the falling starting point.

Not many reports have covered large-scale point of care testing (POCT) blood glucose comparisons, and many interfering factors affect detection. This study aims to verify the performance of POCT blood glucose meters and discusses the factors that interfere with detection.

[Purpose/Significance] In the current situation of " leading a thrifty life ", university libraries have paid more and more attention to resource sharing and alliance building. In the context of application of technologies in library alliance resource construction, co-construction and sharing in recent years, blockchain technology has broad research prospects, but there are few empirical studies on model construction and application scenarios in the current literature. In particular, there is a lack of research on using the blockchain "incentive mechanism" to mobilize alliance users and individual users to participate in the co-construction and sharing of literature and information resources. Aiming at solving the problems in the co-construction of literature and information resources by the university library consortium, the blockchain technology is used to construct a new alliance co-construction and sharing system to realize the complementary advantages of resources among alliance members. [Method/Process] On the basis of MVVM (Model-view-View Model) architecture, with incentive mechanism, consensus mechanism, distributed structure, smart contract and big data analysis as the bottom support, the regional literature and information resources co-construction and sharing mechanism based on blockchain is constructed. In the model architecture, "user demand" is the center. Using "incentive mechanism" to arouse the initiative of alliance group users and individual users to participate in the joint construction and sharing of resources. [Results/Conclusions] This paper constructs a new model of co-construction and sharing of resources by using blockchain technology. Alliance members share alliance information by sharing resources and providing learning content, breaking the "data island" among member libraries, and realize the complementary resource advantages among member libraries. On the premise of ensuring the resource security of alliance members, we can realize the joint collection acquisition, accurate collection and regional circulation of member libraries, so as to optimize the construction of resources, ensure the quality of resources, reduce the financial pressure, further meet the personalized needs of alliance users, and promote the construction of information services and the development of teaching and research of member libraries. At the same time, a new interest game relationship can be reshaped between university libraries and resource data providers. We can promote the benign interaction between resource providers and resource demanders, and finally realize the co-construction and sharing of resources of regional university libraries. In addition, the practical value and effect of this paper need to be further verified in the experiment.

ObjectiveTo study whether diatoms can enter the body through the lymphatic system of the digestive tract.MethodsTwenty experimental rabbits were divided into the test group and the control group randomly, and intragastric administration was performed with 20 mL water sample from the Pearl River and 20 mL ultrapure water, respectively. After 30 min, lymph, lungs， livers and kidneys were extracted for the diatom test. The concentration, size and type of diatoms were recorded.ResultsThe concentration of diatoms of the test group was higher than that of the control group （P

ObjectiveTo retrospectively analyze diatom test cases of corpses in water and discuss the value of quantitative analysis of diatoms in the diagnosis of drowning.MethodsA total of 490 cases of water-related death were collected. They were divided into drowning group and postmortem immersion group according to the cause of death. Diatoms in lung, liver, kidney tissue and water sample were analyzed quantitatively by microwave digestion-vacuum filtration-automated scanning electron microscopy （MD-VF-Auto SEM） method. The ratios of content of diatoms in lung tissue and water sample （CL/CD） were calculated.ResultsThe results of diatom test for three organs （lung, liver and kidney） were all positive in 400 cases （85.5%）; the content of diatom in lung, liver, kidney tissues, and water samples of drowning group were （113 235.9±317 868.1）, （26.7±75.6）, （23.3±52.2） and （12 113.3±21 760.0） cells/10 g, respectively; the species of diatom were （7.5±2.8）, （2.6±1.9）, （2.9±2.1） and （8.9±3.0） types, respectively; the CL/CD of drowning group and postmortem immersion group were （100.6±830.7） and （0.3±0.4）, respectively.ConclusionQuantitative analysis of diatoms can provide supportive evidence for the diagnosis of drowning, and the parameter CL/CD can be introduced into the analysis to make a more accurate diagnosis of drowning.

ObjectiveTo study the effects of temperature and time for diatoms digestion and find out suitable digestive temperature and time.MethodsEighty pieces of liver tissues were collected, each piece of tissue was 2 g, and 2 mL Pearl River water was added to each piece of tissue. The digestion temperature was set at 100 ℃, 120 ℃, 140 ℃, 160 ℃, 180 ℃ and the digestion time was set at 40, 50, 60, 70, 80 min. The liver tissue and water mixture were divided into 8 portions in each group. All the samples were tested by microwave digestive - vacuum filtration - automated scanning electron microscopy method. The quantity of diatom recovered and the quality of residue on the membrane were recorded.ResultsWhen the digestion time was set to 60 min, there were statistically significant differences in the number of diatoms recovered at different temperatures （P0.05）.ConclusionThe effect of diatom digestion is related to temperature and time. When the digestion temperature was 140 ℃ and the digestion time was 40, 50 and 60 min, it is favorable for diatom test.

ObjectiveTo compare the application effect of microwave digestion - vacuum filtration - automated scanning electron microscopy （MD-VF-Auto SEM） method and plankton gene multiplex PCR system in the diagnosis of drowning.MethodsLung, liver and kidney tissue of 10 non-drowning cases and 50 drowning cases were prepared for further MD-VF-Auto SEM method analysis and plankton gene multiplex PCR system analysis. The positive detection rate of the two methods in each tissue was calculated.ResultsThe positive rate of the MD-VF-Auto SEM method detecting diatoms in drowning cases was 100%, and few diatoms were detected in the liver and kidney tissues of 6 non-drowning cases. By using the plankton gene multiplex PCR system, the diatom positive rate of drowning cases was 84%, and all the non-drowning cases were negative. There were significant differences in the positive rate of the liver, kidney tissues between MD-VF-Auto SEM method and plankton gene multiplex PCR system （P0.05）.ConclusionMD-VF-Auto SEM method is more sensitive than plankton gene multiplex PCR system in diatom test. But the plankton gene multiplex PCR system can also detect plankton other than diatoms. Combination of the two methods can provide a more reliable basis for the diagnosis of drowning.

ObjectiveTo explore the application values of diatom artificial intelligence （AI） search system in the diagnosis of drowning.MethodsThe liver and kidney tissues of 12 drowned corpses were taken and were performed with the diatom test, the view images were obtained by scanning electron microscopy （SEM）. Diatom detection and forensic expert manual identification were carried out under the thresholds of 0.5, 0.7 and 0.9 of the diatom AI search system, respectively. Diatom recall rate， precision rate and image exclusion rate were used to detect and compare the efficiency of diatom AI search system.ResultsThere was no statistical difference between the number of diatoms detected in the target marked by the diatom AI search system and the number of diatoms identified manually （P>0.05）; the recall rates of the diatom AI search system were statistically different under different thresholds （P

Objective To investigate the clinical outcomes of percutaneous endoscopic cervical discectomy with lamina-hole approach for cervical radiculopathy. Methods A retrospective case series study was conducted to analyze clinical data of 30 patients with cervical radiculopathy admitted in our department from May 2018 to December 2019. All patients underwent percutaneous endoscopic cervical discectomy with lamina-hole approach. The operative time, intraoperative blood loss, intraoperative complications were collected and analyzed. Neck disability index (NDI) and visual analogue scale (VAS) of neck and arm were used preoperatively, postoperatively and at the end of follow-up. Results All patients successfully completed the operation. Their operation time was 30~200 (84.5±36.5) min, and the intraoperative blood loss was 5~50 (20.5±11.8) mL. No neurovascular injury was observed intra-operatively and post-operatively. The follow-up time was 9~23 (14.3±4.0) months. The NDI scores were decreased from 61.3±13.2 pre-operatively to 26.6±7.4 post-operatively (P < 0.01), and further reduced to 9.8±3.5 at the last follow-up (P < 0.01). The VAS scores of the neck and arm were 5.2±0.7 and 6.5±1.1 before operation, and decreased to 3.1±0.7 and 2.8±0.7 (P < 0.01) after operation, respectively. At the last follow-up, the values were further reduced to 0.6±0.8 and 0.5±0.6 (P < 0.01), respectively. Conclusion Percutaneous endoscopic cervical discectomy with lamina-hole approach is a new option for cervical radiculopathy, and can achieve the decompression of nerve root with preserving facet joint integrally.

The fat-related enzymes of whole wheat flour cause the increase in fatty acid value, the tallowiness of whole wheat flour and the higher microbial count. This seriously affects the shelf life of whole wheat flour and restricts the circulation and sales of whole wheat flour. In this study, the key physical and chemical indicators, as well as microbial count of several commercially available whole wheat flours are analyzed and compared. The results show that after 3 months of storage, the fatty acid values of the whole wheat flour are close to or slightly higher than the industry standard requirements. The bran prepared in laboratory was treated with atmospheric steam at different times. The results showed that after 10 minutes of steaming treatment, the total plate count in the bran decreased from 2.2×105 CFU/g to 1.4×102 CFU/g, and the spores count decreased from 1.2 ×103 CFU/g to 1.1×102 CFU/g. After 20 minutes of atmospheric steaming treatment,the total plate count and spores decreased to less than 100 CFU/g. Atmospheric steaming treatment for 10 minutes can inactivate the bran lipase and lipoxygenase by 90% and 80%, respectively. The whole wheat flour was prepared by adding bran that has been steamed for 10 minutes back to the flour. Based on the results of whole wheat flour shelf life test, we therefore conclude that the shelf life of whole wheat flour is at least 16～17 months.

Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) can map visual stimuli with dif-ferent frequencies to certain commands to control external devices.In order to explore the capacitability of AR-BCI on the number of stimuli and the influence of the number of multi-target stimuli on the classification accuracy of AR-BCI,4 layouts of stimuli with different numbers are designed in this study and displayed through HoloLens (AR) glasses.The comparative analysis shows that the classification accuracy of the 4 layouts gradually decreases with the increase of the number of stimuli,and the location of stimuli affects the accuracy of stimulus classification.In the similar experimental paradigm,the classification results of PC screen and AR display terminals are compared,and it is found that the increasing number of stimuli has a great impact on the classification performance of AR-BCI.Current study indicates that the amount of stimulus is a key factor affecting the construction of AR-BCI in AR environment.

Two species of Nemouridae are described and illustrated from the Nanling Mountains of southern China, including a new species, Nemoura biplatta sp. nov. from Guangxi Zhuang Autonomous Region, and a new regional record species, Amphinemura cordiformis Li & Yang, 2006 from Hunan Province. The morphological characteristics of the new species are compared to related taxa and the new images with supplementary description of A. cordiformis are also provided.

The purpose of knowledge representation learning is to learn the vector representation of research objects projected by a matrix in low-dimensional vector space and explore the relationship between embedded objects in low-dimensional space. However, most methods only consider the triple structure in the knowledge graph and ignore the additional information related to the triple, especially the text description information. In this paper, we propose a knowledge graph representation model with a symmetric architecture called Joint Knowledge Representation Learning of Text Description and Knowledge Graph (JKRL), which models the entity description and relationship description of the triple structure for joint representation learning of knowledge and balances the contribution of the triple structure and text description in the process of vector learning. First, we adopt the TransE model to learn the structural vector representations of entities and relations, and then use a CNN model to encode the entity description to obtain the text representation of the entity. To semantically encode the relation descriptions, we designed an Attention-Bi-LSTM text encoder, which introduces an attention mechanism into the Bi-LSTM model to calculate the semantic relevance between each word in the sentence and different relations. In addition, we also introduce position features into word features in order to better encode word order information. Finally, we define a joint evaluation function to learn the joint representation of structural and textual representations. The experiments show that compared with the baseline methods, our model achieves the best performance on both Mean Rank and Hits@10 metrics. The accuracy of the triple classification task on the FB15K dataset reached 93.2%.

Objective To provide reference for medical and health services and forensic expertise, the causes and manners of death of psychiatric patients were analyzed retrospectively. Methods A total of 105 autopsy cases of psychiatric patients accepted and settled by Institute of Forensic Science of Criminal Investigation Police University of China from 2004 to 2019 were collected. The cases were divided into four groups： disease death, suicidal death, accidental death and homicidal death. The common causes of death of each group were statistically analyzed and the differences in age, disease duration, body mass index（BMI）and gender among the groups were assessed. Results Of the 105 cases, 60 were male and 45 were female, the course of psychosis was （12.9±10.4） years, the age of the deceased was （51.3 ± 11.4） years, and 61.0% was schizophrenic. There were 50 cases （47.6%） in the disease death group, in which the psychiatric patients were the oldest and had the longest course of psychosis and lowest BMI. Pulmonary thromboembolism, respiratory infections, and cardiogenic disease were the most common causes of death in the group. There were 26 accidental deaths （24.8%）, among which traffic accidents were the most common cause of death. There were 15 homicidal deaths （14.3%）, all of which were male, with craniocerebral injury being the most common cause of death. There were 14 suicidal deaths （13.3%）. In suicidal death group, the age of the deceased was the youngest, the course of psychosis was the shortest and falling from the height was the most common way to commit suicide. Conclusion Understanding the common causes of death of psychiatric patients may contribute to developing measures to reduce the mortality rate of the population. It is necessary to investigate the age, course of psychosis and gender of the deceased when assessing the manner of death.

C18H20ZnN6O8, Triclinic, P1‾ $P\overline{1}$ (no. 2), a = 6.1830(5) Å, b = 7.0301(6) Å, c = 12.1369(11) Å, α = 80.665(1)°, β = 87.976(2)°, γ = 72.051(1)°, V = 495.17(7) Å3, Z = 1, Rgt (F) = 0.0495, wRref (F 2) = 0.1243, T = 298.15 K.

Objective To define the differences in N-glycosylation of disease-specific immune and inflammatory proteins between lung cancer and benign lung disease. Methods A group of disease-specific serum immunoin-flammation-related protein complexes (IIRPCs) were isolated from the sera of two patients with lung adenocarcinoma and chronic pneumonia, by native-polyacrylamide gel electrophoresis (native-PAGE). The intact glycopeptides were obtained by in-gel trypsin digestion and then enriched by graphite phase carbon nitride. The glycopeptides were identified by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) coupled with GPSeeker database software. Results Totally 89 glycopeptides from 12 proteins were identified, 21 of which only existed in benign lung disease and 38 only be found in lung cancer samples. Ten of the 63 unique glycoforms from the 89 glycopeptides only existed in benign lung disease and only 21 were found in lung cancer. Conclusions The specific differences in N-glycosylation of disease-specific immune and inflammatory proteins are found between benign lung disease and lung cancer. These findings indicate that N-glycosylation may function as potential biomarker applied in diagnosis and prognosis of chronic diseases as well as a novel sight to molecular mechanism of chronic diseases.

In today's society，the importance of shelf life is indisputable in all aspects of food industry including manufacture，processing，storage，distribution，sale and consumption.However，there is no general method to predict the shelf life of different kinds of food，because the products own properties，different processing and storage conditions will affect the safety and quality of food.This paper reviewed the relevant standards and regulations of food shelf-life in China and aboard，summarized the shelf-life prediction methods，models and examples based on the quality decay principle of dynamics of chemical quality，microbial growth kinetics and sensory prediction，and analyzed the existing problems of the prediction models in China based on the previous research.We hope this paper will provide certain basis for the evaluation，design and verification of food manufacturers' shelf-life.

C24H20N8O4MoCo, monoclinic, C2/c (no. 15), a = 19.3535(7) Å, b = 10.0870(4) Å, c = 12.4174(5) Å, β = 97.3700(10)°, V = 2404.08(16) Å3, Z = 4, Rgt(F) = 0.0218, wRref(F2) = 0.0577, T = 298(2) K.

The hot deformation behavior of Cr-Mo-B mechanical engineering steel was conducted at deformation temperature of 850-1150℃ and strain rates of 0.1-10s-1. The artificial neural network(ANN) model was developed based on the true stress-strain curves, where the input parameters were deformation temperature, strain rate, strain, and flow stress was the output parameter. The results show that the ANN model is accurate in predicting the flow stress, and the root mean square error is 1.3858. Based on the dynamic material model (DMM), the processing maps of the studied alloy at true strains of 0.5 and 0.7 are constructed to recognize optimum hot deformation regions:the optimum region for the strain of 0.5 is at deformation temperature of 1050-1150℃ and strain rate of 0.1-0.4s-1 with a peak power dissipation factor of about 37.20%, and the optimum region for the strain of 0.7 is at deformation temperature of 1000-1150℃ and strain rate of 0.1-0.6s-1 with a peak power dissipation factor of about 35.80%.

Reduced-activation ferritic/martensitic (RAFM) steels, based on Fe-Cr alloys, have been considered to be one of the most promising candidate structural materials for future fusion reactors. Dislocation loops, as one of the most common microstructures induced by radiation, are the key factors in the deterioration of material properties. Dislocation loops with different Burgers vectors have different effects on material properties. Currently, a consensus exists suggesting that there are two kinds of dislocation loops with Burgers vectors of 1/2 〈111〉 and 〈100〉 in bcc iron-based alloys. In this study, the Burgers vectors of dislocation loops formed at the annealing temperatures of 400, 500, and 550℃ in hydrogen-ion implanted Fe-9%Cr model alloy were examined based on dislocation loop maps and dislocation loop invisibility criteria. Dislocation loop maps manifest such that under the 〈100〉 or 〈110〉 zone axes, it is easy to distinguish 1/2 〈111〉 and 〈100〉 edge dislocation loops, while under the 〈111〉 zone axis, the loops cannot be distinguished. By direct comparison between loop maps and loop images obtained through transmission electron microscope (TEM), the dislocation loops with Burgers vectors of 1/2 〈111〉 and 〈100〉, formed at different annealing temperatures, were characterized. The results of the characterization show that with increasing annealing temperature, the size of the dislocation loops increases while density decreases. Furthermore, the proportion of dislocation loops with a Burgers vector of 〈100〉 increases with rising temperature. After annealing at 400℃ and 500℃, the percentages of 〈100〉 type dislocation loops are 16.48% and 92.78% respectively, in hydrogen-ion implanted Fe-9%Cr alloy. While the temperature is raised to 550℃, all the dislocation loops are of 〈100〉 type loops. This indicates that the transition temperature range of dislocation loops in Fe-9%Cr is 400℃-500℃. Compared with pure iron, the presence of Cr element promotes the transition temperature of dislocation loops from 1/2 〈111〉 type to 〈100〉 type.

Objective To retrospectively analyze the characteristics of the traumatic rupture of intracranial internal carotid artery in order to provide reference for forensic expertise examination and identification. Methods A total of 11 autopsy cases of traumatic rupture of intracranial internal carotid artery were collected. The gender, age, cause of injury, blood loss on the scene, location of internal carotid artery rupture, hardening degree of the rupture of the wall, brain injury, blood ethanol content and cause of death were also recorded. Results All 11 cases died on the scene, of which 7 died from traffic accidents, 2 falls from height and 2 from bare handed injuries. None of the 11 victims suffered serious head and body surface injury. The internal carotid artery rupture in the 9 cases of traffic injury and fall from height injury occurred in the cavernous segment. In all these cases, there were transverse fractures of the middle cranial fossa with the carotid sulcus involved, and minor intracranial hemorrhage and brain contusion. In 2 cases of bare handed injuries, internal carotid artery rupture occurred in the ophthalmic artery segment, accompanied by fatal intracranial hemorrhage and diffuse axonal injury, but no skull fracture. All 11 cases showed full-thickness rupture of the vessel wall, and the long axis of the wounds was perpendicular to those of the artery. Conclusion The incidence of intracranial internal carotid artery rupture in high-energy trauma events such as traffic accidents and high falls deserves attention. Injuries of the cavernous segment or ophthalmic segment might be more common. The main injury mechanism of intracranial internal carotid artery rupture might be that the blood vessels were pulled and the bone fragments caused damage.

C20H18F2N2, monoclinic, P21/c (no. 14), a = 12.4233(11) Å, b = 7.3805(7) Å, c = 18.9531(16) Å, β = 104.109(3)°, V = 104.109(3) Å3, Z = 4, Rgt(F) = 0.0464, wRref(F2) = 0.1201, T = 296(2) K.