bluuebunny/crossref_metadata_2025 huggingface dataset:
The OTELO survey
Authors: Navarro Martínez Rocío , Pérez-García Ana María , Pérez-Martínez Ricardo , Cerviño Miguel , Gallego Jesús , Bongiovanni Ángel , Barrufet Laia , Nadolny Jakub , Cedrés Bernabé , Cepa Jordi , Alfaro Emilio , Castañeda Héctor O. , de Diego José A. , González-Otero Mauro , Jesús González J. , González-Serrano J. Ignacio , Lara-López Maritza A. , Padilla Torres Carmen P. , Sánchez-Portal Miguel
Published: June 2021

Aims.We study a sample of Hβemission line sources atz ∼ 0.9 to identify the star-forming galaxies sample and characterise them in terms of line luminosity, stellar mass, star formation rate, and morphology. The final aim is to obtain the Hβluminosity function of the star-forming galaxies at this redshift.

Methods.We used the red tunable filter of the instrument Optical System for Imaging low Resolution Integrated Spectroscopy (OSIRIS) at Gran Telescopio de Canarias to obtain the pseudo spectra of emission line sources in the OTELO field. From these pseudo spectra, we identified the objects with Hβemission. As the resolution of the pseudo spectra allowed us to separate Hβfrom [O III], we were able to derive the Hβflux without contamination from its adjacent line. Using data from the extended OTELO catalogue, we discriminated AGNs and studied the star formation rate, the stellar mass, and the morphology of the star-forming galaxies.

Results.We find that our sample is located on the main sequence of star-forming galaxies. The sources are morphologically classified, mostly as disc-like galaxies (76%), and 90% of the sample are low-mass galaxies (M* < 1010 M⊙). The low-mass star-forming galaxies atz ∼ 0.9 that were detected by OTELO present similar properties as low-mass star-forming galaxies in the local universe, suggesting that these kinds of objects do not have a favorite epoch of formation and star formation enhancement fromz ∼ 1 to now. Our sample of 40 Hβstar-forming galaxies include the faintest Hβemitters detected so far. This allows us to constrain the faint end of the luminosity function for the Hβline alone with a minimum luminosity of logL = 39 erg s−1, which is a hundred times fainter than previous surveys. The dust-corrected OSIRIS Tunable Emission Line Object survey (OTELO) Hβluminosity function established the faint-end slope asα = −1.36 ± 0.15. We increased the scope of the analysis to the bright end by adding ancillary data from the literature, which was not dust-corrected in this case. The obtained slope for this extended luminosity function isα = −1.43 ± 0.12.
X-ray emission from BH+O star binaries expected to descend from the observed galactic WR+O binaries
Authors: Sen K. , Xu X.-T. , Langer N. , El Mellah I. , Schürmann C. , Quast M.
Published: June 2021

Context. In the Milky Way, ∼18 Wolf-Rayet+O star (WR+O) binaries are known with estimates of their stellar and orbital parameters. Whereas black hole+O star (BH+O) binaries are thought to evolve from WR+O binaries, only one such system is known in the Milky Way. To resolve this disparity, it was suggested recently that upon core collapse, the WR stars receive large kicks such that most of the binaries are disrupted.

Aims. We reassess this issue, with a particular emphasis on the uncertainty in predicting the X-ray emission from wind-accreting BHs in BH+O binaries, which is key to identifying such systems.

Methods. BH+O systems are thought to be X-ray bright only when an accretion disk forms around the BHs. We followed the methodology of previous work and applied an improved analytic criterion for the formation of an accretion disk around wind accreting BHs. We then used stellar evolutionary models to predict the properties of the BH+O binaries which are expected to descend from the observed WR+O binaries if the WR stars would form BHs without a natal kick.

Results. We find that disk formation sensitively depends on the O stars’ wind velocity, the amount of specific angular momentum carried by the wind, the efficiency of angular momentum accretion by the BH, and the spin of the BH. We show that whereas the assumption of a low wind velocity may lead to the prediction that most of the BH+O star binaries will have an extended X-ray bright period, this is not the case when typical wind velocities of O stars are considered. We find that a high spin of the BH can boost the duration of the X-ray active phase as well as the X-ray brightness during this phase. This produces a strong bias for detecting high mass BH binaries in X-rays with high BH spin parameters.

Conclusions. We find that large BH formation kicks are not required to understand the sparsity of X-ray bright BH+O stars in the Milky Way. Probing for a population of X-ray silent BH+O systems with alternative methods can likely inform us about BH kicks and the necessary conditions for high energy emission from high mass BH binaries.
Research On Evaluation Index System of China’s Inter-Provincial Electricity Market Operation
Authors: Zhao Zheng , Yang Changhai , Zhang Xiaoxuan , Liu Zhengying , Liu Yongcheng
Published: June 2021

As China's electricity market develops rapidly in recent years, market evaluation turns out to be more necessary than before to make a comprehensive evaluation of market construction and operation, and ensure a fair and health electricity market. In this study, the international experience of market monitoring and assessment is firstly summarized. Then considering the feature of China's inter-provincial power market, the evaluation index system is proposed for the operation effectiveness of inter-provincial electricity market. At last, a case of comparing the short-term and long-term inter-provincial market modes is presented to validate the proposed market evaluation index system.
Geometric nonlinear dynamic response of wind turbines with different power performance
Authors: Qian Xiaohang , Gao Zhiteng , Zhang Zhiyong , Wang Tongguang
Published: June 2021

As the size of wind turbine blades increases, the influence of geometric nonlinearity on aerodynamic, structural and design of blades becomes more and more serious. In this work, the efficient aero-elastic calculation of large flexible blades is studied. In order to solve the problem of efficient aeroelastic caculation of large flexible blades, this work applied the geometrically exact beam theory based on Legendre spectral finite element and coupled with the blade element momentum theory to establish the aero-elastic analysis model of large flexible blades. This model can efficiently calculate the deformation and load on the blade under aerodynamic loading and fully consider the influence of geometric nonlinearity caused by deformation on aeroelastic ability. Taking NREL 5MW and IEA 15MW wind turbines as examples, the linear and nonlinear dynamic responses of these two wind turbine blades are calculated. The result shows that the neglect of nonlinear effect will bring error. From 5MW wind turbine to 15MW wind turbine, the numerical error increased by 27.88%. The influence of geometric nonlinearity of blades on dynamic responses is analysed, which is of great significance to improve the design level of large-scale wind turbines.
Comparative Evaluation Research on the Carrying Capacity of Multi-regional Distribution Network Owner Project Departments Based on Combined Weights
Authors: Jian Lin , Xiaochun Weng , Jing Yu , Dingwen Yu , Zaiwei Zhang
Published: June 2021

This paper proposes a comparative evaluation method for the carrying capacity of the owner's project department based on combined weights. This method first combines the current grid companies’ requirements for the construction of the owner’s project department and the current distribution network construction management issues to systematically construct the owner’s project department’s carrying capacity evaluation index system. Through comprehensive evaluation and collection of indicator-related data, it is determined based on the coefficient of variation method. The objective weight of the indicator is determined based on the analytic hierarchy process; then the integrated scoring model is used to comprehensively calculate the normalized indicator value and weight value to obtain the evaluation analysis result; finally, the method is verified by empirical analysis Effectiveness.
Hydrodynamic Analysis of 3-SPS Wave Energy Conversion Device
Authors: Ji Zhifei , Yuan Xiaodong , Lin Min , Fan Jianyu
Published: June 2021

Wave energy has the advantages of high energy density, renewability, and wide distribution, and has been highly valued by many coastal countries. The wave energy conversion device can convert wave energy into electric energy, which is of great significance for alleviating problems such as energy crisis and greenhouse effect. The traditional wave energy conversion device can only gain the energy along the heave direction, and the kinetic energy of the buoy is not fully utilized. To improve the energy utilization efficiency of the wave energy conversion device, this paper proposed a new type of 3-SPS wave energy conversion device. Based on linear waves and Lagrangian equation, a hydrodynamic model of the device was established. The displacement and velocity of the device float under the action of linear waves were analyzed. The results show that the 3-SPS wave energy conversion device can collect the kinetic energy of the buoy in its heaving, surging and pitching movement at the same time; the kinetic energy of the buoy in the heaving direction is much greater than the kinetic energy in the surging and pitching directions; the buoy can capture kinetic energy in multiple directions of motion, indicating that the 3-SPS wave energy conversion device has a high energy utilization efficiency. This paper provides some useful references for the optimal design of the new wave energy device.
Analysis and treatment of jitter for 300MW steam turbine high-pressure control valve
Authors: Wang Jinlong , Song Ang , Kang Yanchang
Published: June 2021

The high-pressure control valve of Weifang power generation Co. LTD unit one turbine happens to jitter during operation, especially in the low opening action, the jitter is more frequent. This situation is serious for the safety and stability of generating unit. This paper analyzes the cause of the high-pressure control valve jitter and formulates effective reconstruction plans. After the reform of the high-pressure control valve, it can maintain stable and normal regulation to ensure the safety and stability of the generating unit.
Modification and Application of Low and Low Temperature Economizer in Dezhou Power Plant
Authors: Hu Qiudong
Published: June 2021

At present, the exhaust gas temperature of coal-fired power plants is 125-150℃, and the emission of high-temperature flue gas causes the loss of excess heat and wastes. For this kind of phenomenon, the waste heat recovery system is researched and designed, combined with the combination of a low-temperature economizer in a coal-fired power plant in Dezhou. The heater, through the low-temperature economizer combined with the heater system, reduces coal consumption for power generation, reduces flue gas emissions, while reducing dust specific resistance, improving dust removal efficiency of electric dust removal, and reducing dust emissions. This project responds to national policy guidelines.
Improving Diabetic Diagnosis and Prevention with Machine Learning on Retinal Imaging
Authors: Min Yushan
Published: June 2021

If the retinal images show evidences of abnormalities such as change in volume, diameter, and unusual spots in the retina, then there is a positive correlation to the diabetic progress. Mathematical and statistical theories behind the machine learning algorithms are powerful enough to detect signs of diabetes through retinal images. Several machine learning algorithms: Logistic Regression, Support Vector Machine, Random Forest, and Neural Networks were applied to predict whether images contain signs of diabetic retinopathy or not. After building the models, the computed results of these algorithms were compared by confusion matrixes, receiver operating characteristic curves, and Precision-Recall curves. The performance of the Support Vector Machine algorithm was the best since it had the highest true-positive rate, area under the curve for ROC curve, and area under the curve for Precision-Recall curve. This conclusion shows that the most complex algorithms doesn’t always give the best performance, the final accuracy also depends on the dataset. For this dataset of retinal imaging, the Support Vector Machine algorithm achieved the best results. Detecting signs of diabetic retinopathy is helpful for detecting for diabetes since more than 60% of patients with diabetes have signs of diabetic retinopathy. Machine learning algorithms can speed up the process and improve the accuracy of diagnosis. When the method is reliable enough, it can be utilized in diabetes diagnosis directly in clinics. Current methods require going on diets and taking blood samples, which could be very time consuming and inconvenient. Using machine learning algorithms is fast and noninvasive compared to the existing methods. The purpose of this research was to build an optimized model by machine learning algorithms that can improve the diagnosis accuracy and classification of patients at high risk of diabetes using retinal imaging.
Psychometric Properties of the Chinese version of the 20-item Prosopagnosia Index (PI20)
Authors: Sun Wen , Wang Yuzheng , Wang Jinyan , Luo Fei
Published: June 2021

Prosopagnosia, also known as facial blindness, has attracted wide attention in the social field in recent years. However, it mainly depends on the self-report of the chief complaint in the actual diagnosis. In addition, there is a lack of standardized measurement basis, which brings a lot of inconvenience to the patients themselves and follow-up researchers. In this study, we tested the reliability and validity of the Chinese version of 20 - item prosopagnosia index (PI-20). 647 young people aged 18-45 filled in PI-20, the adult autistic quotient scale, the empathy quotient questionnaire, and completed the retest one month later. Results showed that the PI-20 has good internal consistency reliability, test-retest reliability, and has good validity. In addition, confirmatory factor analysis shows that the model can well fit the data of Chinese population and can be used for large-scale measurement. The Chinese version PI-20 is a reliable measurement for prosopagnosia.
Research on Recognition Method of COVID-19 Images Based on Deep Learning
Authors: Ji Dongsheng , Zhao Yanzhong , Zhang Zhujun , Zhao Qianchuan
Published: June 2021

In view of the large demand for new coronary pneumonia covid19 image recognition samples, the recognition accuracy is not ideal. In this paper, a new coronary pneumonia positive image recognition method proposed based on small sample recognition. First, the CT image pictures are preprocessed, and the pictures are converted into the picture formats which are required for transfer learning. Secondly, small-sample image enhancement and extension are performed on the transformed image, such as staggered transformation, random rotation and translation, etc.. Then, multiple migration models are used to extract features and then perform feature fusion. Finally,the model is adjusted by fine-tuning. Then train the model to obtain experimental results. The experimental results show that our method has excellent recognition performance in the recognition of new coronary pneumonia images, even with only a small number of CT image samples.
Study on the acid environment to the sensitivity of soil
Authors: Zhang Yao , Guo Shaoqiang , Li Ning , Hu Zaiqiang , Xi Yu
Published: June 2021

In this research, the tests of collapsible sensitivity of loess in acid environment were carried out. On the basis of this experiment, this author draw on the experience of predecessors, and put forward two indexes of collapsibility sensitivity evaluation of loess and its site, which are the time to complete 90% of collapsibility and collapsibility coefficient. The method was verified by taking the site with excessive collapsibility as an example. The results show that the method can accurately reflect the collapsibility sensitivity of collapsible site, and has certain guiding significance for engineering construction on collapsible site. In addition, the method is simple, scientific, and can be combined with the current specifications. It is easy to be accepted and promoted by the industry, and is a useful supplement to the existing few researches on loess collapsibility sensitivity.
The design and application of the solar energy fan
Authors: Wei Fengjun , Wang Fude
Published: June 2021

This article introduces a solar fan device, which can alleviate the overheating phenomenon of solar water heating system, and can be installed on the building as a component of the building, which can ventilate the building and improve the air quality of the building. introduced its design principle and structure. Taking the actual project as an example, the application and test results of the solar scalp were explained, which provided certain practical experience for the promotion and application of the solar scalp.
Analysis of landscape microclimate and green space transformation strategy for old residential areas——case: Luoliu community
Authors: Gou Aiping , Li Yihan , Wang Jiangbo
Published: June 2021

As an old community, Luoliu community is representative in Shanghai. Traditional infrastructure is not combined with public space and green space layout, which makes the climate resilience of the old residential area urgently need to be improved. Through questionnaire survey, field measurement, combined with Envi-met to simulate microclimate changes and formulated green space resilience transformation strategies. Microclimate factors such as temperature, humidity, wind speed and wind direction change with the spatial distribution and vegetation structure. First, the walls of buildings are most vulnerable to the shadow of buildings. The microclimate of the building enclosed green space is stable, but its toughness is poor. Parallel green space can restrain the temperature rise to a certain extent, it has strong space toughness. Green enclosure space is also closed, usually covered with green plants. Although it can reduce the impact of solar radiation, overgrown and untrimmed trees will become an obstacle to air ducts. Ventilation should be the priority. Second, the canopy and vertical structure of green plants should be reasonable. Third, the combination layout of the dominant wind direction and the residential complex shall be considered comprehensively to plan the public facilities and sidewalks.
The Immune Contexture and Cancer Therapy Aspects of the TIM-3 Checkpoint Pathway
Authors: Xie Yunxuan
Published: June 2021

The advent of immune checkpoint therapy revolutionizes the oncology field by achieving durable anti-tumor efficacy and immense clinical progress. Among the immune checkpoints, T cell immunoglobulin and mucin domain 3 (TIM-3) has been reported to express on both innate and adaptive immune cells where it accounts for immune tolerance and tumor aggression. It shows promising effects that are applicable in several cancer types. This review provides a broad overview of the main TIM-3 relative signaling pathways and its immune regulatory role to shape cancer development positively. The importance of TIM-3 inhibitors in cancer control were also summarized according to the latest reports, discussing its clinical trial data that inform the rationale for TIM-3 blockade.
Application Effect of Predictive Nursing in the Nursing Process of Patients with Coronary Heart Disease and Angina Pectoris
Authors: Lu Yi
Published: June 2021

To explore the measures and clinical effects of applying predictive nursing methods in the process of nursing care of patients with coronary heart disease and angina pectoris. The patients who were treated in our hospital from December 2019 to December 2020 were selected as the research objects. The patients were all with coronary heart disease and angina pectoris. Nursing care of the patients was carried out. 100 patients were randomly selected as the research objects. In the controlled experiment, patients were given conventional nursing intervention (control group) and predictive nursing intervention (experimental group), and the clinical intervention effects of the two nursing methods were compared and analyzed. The number and duration of angina pectoris in the experimental group were lower than those in the control group. The nursing satisfaction of the two groups was 96.00% and 82.00% respectively. The satisfaction of the patients in the experimental group was higher, and the blood pressure and blood sugar of the experimental group were normal. The number of normal blood lipids was higher than that of the control group. The SAS score and SDS score of the experimental group were relatively low compared with the control group, and the differences in the data were large, expressed as P<0.05, which was statistically significant. The effect of the experimental group is better. Applying predictive nursing methods in the process of nursing care for coronary heart disease and angina pectoris has significant clinical effects, which can effectively stabilize various physical indicators of the patient community, improve patient care satisfaction, and have significant clinical application value.
Pyrosequencing with di-base addition for the identification of pathogenic bacteria
Authors: Pu Dan , Shu Kunxian
Published: June 2021

We proposed a novel method for the identification of pathogenic bacteria, in which a partial amplicon of the molecular markers was targeted by using pyrosequencing with di-base addition (PDBA). PDBA was conducted by synchronously adding di-base instead of one base into a reaction, and a set of highly sequence-specific encodings containing the type and the number of incorporated nucleotide(s) (peak height) were obtained. By comparing the encoding sizes of each isolate and the number of incorporated nucleotide(s) in each cycle, moving from first to last, various kinds of bacteria could be unambiguously identified. To verify its feasibility, we simulated PDBA results from thirteen isolates of Mycobacterium species and compared their encoding sizes and the number of incorporated nucleotide(s) in each cycle with those predicted by a homemade software. The thirteen isolates were successfully differentiated. We also targeted partial RNase P RNA gene (rnpB) of cultured M. paratubercuosis and M. celatum to differentiate the two isolates. By comparing the encoding size of each isolate and the number of incorporated nucleotide(s) in each cycle, the two Mycobacterium isolates were successfully differentiated. In conclusion, PDBA enabled to reliably identify pathogenic bacteria.
Treatment for alzheimer's disease: The present and future
Authors: Wei Cheng
Published: June 2021

Alzheimer's disease (AD) is a growing global health crisis, however, there are currently very few effective treatments for it. All existent treatments serve only to ameliorate the symptoms of AD instead of curing it. With the deepening of the disease pathology in recent years, there have been many studies and clinical trials that aim to discover new disease-modifying therapies. Nanoparticle drug delivery platform is a promising path for its high penetration rate across the blood brain barrier, while heat shock proteins provide a new strategy to target the mutant proteins that cause AD. These novel therapies may help us better treat and potentially cure AD, but many of them are still in their early stage of development and their side effects are still unknown. A truly effective treatment for AD is still years ahead.
A Reliable Muscle Synergy Extraction Method based on Multivariate Curve Resolution-Alternating Least Squares
Authors: Ma Yehao , Shi Changcheng , Zhao Dazheng , Ye Sijia , Zuo Guokun
Published: June 2021

Muscle synergy is an important approach to evaluate motor function for patients with neurological diseases. Nonnegative matrix factorization (NMF) is the most widely used muscle synergy extraction method from electromyography (EMG) data. However, NMF usually falls into local optimum and is susceptible to noise, which significantly limit the promotion of muscle synergy. In this paper, a reliable synergy extraction method based on multivariate curve resolution-alternating least squares (MCRALS) was put forward. Its performance was compared with NMF through analyzing the EMG data of upper limb motor. The repeatability and intra-subject consistency were used to evaluate the two methods. As a result, MCR-ALS provided unique resolution result and better repeatability and consistency in contrast to NMF. Thus, the results of this study are of significance for the expansion and application of muscle synergy in medicine.
Current status of immunotherapy in acute myeloid leukemia
Authors: Li Wenrui
Published: June 2021

Acute myeloid leukemia (AML) is a rapidly progressive, poor prognosis malignant tumor caused by hematopoietic stem cells/progenitor cells. In recent years, there have been significant advances in basic and preclinical research on AML. Compared with traditional chemotherapy, hematopoietic stem cell transplantation (HSCT) significantly improved prognosis. However, with high recurrence rates and low 5-year survival rates, more and more attention has been focused on immunotherapy strategies for AML. Given the immunological characteristics of AML and the mechanisms of immune escape, ongoing efforts are aimed at improving the strategy of immunotherapy and the design of novel therapies, such as vaccines, monoclonal antibodies, chimeric receptor-engineered T cells (CAR-T), and checkpoint inhibitors, which hopefully can deliver higher specificity and efficacy in AML therapy. In this review, we provide an overview of the immunological characteristics of conventional AML therapies, explore immune avoidance mechanisms, and describe the mechanisms of active and passive immunotherapies and current clinical trials.
The use of COLD-PCR and pyrosequencing for sensitive detection of EGFR T790M mutation
Authors: Chen Huimin , Zhang Yang , Pu Dan , Shu Kunxian
Published: June 2021

A sensitive and convenient method for the detection of epidermal growth factor receptor (EGFR) T790M mutation in non-small cell lung cancer (NSCLC) patients with acquired resistance to tyrosine kinase inhibitors (TKIs) would be desirable to guide treatment strategy. Consequently, studies have focused on sensitive characterization of EGFR T790M mutation. Herein, two methods of co-amplification at lower denaturation temperature PCR (COLD-PCR) and pyrosequencing were combined (COLDPCR/ pyrosequencing) for detecting EGFR T790M mutation. Evaluation of mutation-containing dilutions revealed that the sensitivities of COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing assays for the detection of the T790M mutation were 0.1 and 5%, respectively, indicating a 50-fold increase in sensitivity. When the T790M mutation in 20 clinical NSCLC samples who had relapsed under firstgeneration EGFR TKI were further determined using COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing, the detection rates were 35% (7/20) and 25% (5/20), respectively. All patients who were positive for the T790M mutation with conventional PCR/pyrosequencing were also found to be positive with COLD-PCR/pyrosequencing. The discordant cases were 2 samples with no T790M mutation detected with conventional PCR/pyrosequencing, but which were positive with COLD-PCR/pyrosequencing. COLD-PCR/pyrosequencing is a sensitive and cost-effective tool for detecting the T790M mutation which will permit an improvement of therapeutic management.
The mitochondrial basis of aging and related diseases
Authors: Mou Junxi
Published: June 2021

Aging is a programmed and spontaneous life course that organisms must undergo, and as an irreversible and relatively conservative process, several theories have tried to explain its causes. Among them, the somatic mutation theory, the free radical theory, the natural cross-linking of biomolecules, the immune theory, the telomere theory, the biological clock theory, and the toxic theory are among the most widely accepted hypotheses. However, no single doctrine can fully explain the aging process. Aging is mainly manifested in the structural and functional aging and decline of organisms, and as organisms continue to age, most organs will experience varying degrees of aging and irreversible damage, although it is directly related to many diseases, aging itself is generally not considered as a disease. Any organism ages slowly over time, with the most easily observable manifestations in external changes such as diminished hair color and sagging skin. Numerous studies have shown that mitochondria are instrumental in mitigating aging as the primary provider of cellular energy, providing energy for cell growth and development as well as being the center of cellular metabolism; therefore, once mitochondria become faulty, a large number of cells will lose function, age, and thus die. In this paper, we will discuss in detail the relationship between mitochondria and aging and how external interventions can promote the function of mitochondria in delaying aging.
Exploring the Potential Pharmacologic Mechanism of Heterophyllin B in the Treatment of Esophageal Cancer by Network Pharmacology
Authors: Chen Ting , Zhang Liang , Huang Xulong , Chen Haiyu , Zhu Shengpeng , Huang Chao , Huang Bin
Published: June 2021

This study used the method of network pharmacology to preliminarily predict the mechanism of Heterophyllin B(HB) inhibiting Esophageal Cancer(EC). We found the HB targets in the TCMSP and PuChem databases, and searched all EC-related targets in the GeneCards database. Taken the intersection of HB and EC as potential targets for inhibiting EC, and used Cytoscape 3.7.1 software to perform topological analysis on potential targets to obtain core targets. Used the start Analysisi function in the DAVID database to analyzed the biological process of the core target, and visualized it with the the R language tool. As a result, 75 potential targets for inhibiting EC were obtained, of which MMP9, MMP2, CCND1, STAT3, CXCR4, BDKRB1and PTGS2 were the main core targets. HB inhibits the occurrence of EC through Pathways in cancer, TNF signaling pathway, Bladder cancer, Small cell lung cancer, Rheumatoid arthritis related pathways, mainly involving proteolysis, collagen catabolic process, extracellular matrix disassembly, positive regulation of cell proliferation, positive regulation of cytosolic calcium ion concentration biological processes. This study initially revealed the molecular mechanism of HB inhibiting EC, and provided a reference for HB to expand new indications.
Regulation of autophagy during mitosis
Authors: Gong Yikang
Published: June 2021

Based on observations of mitosis process, it has been implied that autophagy is repressed. Because the integrity of chromosomes and proteins are significant for cell cycle, the repression of autophagy serves as a protection. However, the mechanistic detail of whether and how autophagy is regulated during mitosis remains controversial. In this review, we aim to analyse and review the recent literature on the regulation of autophagy during mitosis. According to researches, autophagy is repressed via inhibitory phosphorylation of autophagy genes by CDK1, CUL4-RING ubiquitin ligases-mediated and WIPI2 polyubiquitination and proteasomal degradation. In addition, the recent evidence that indicates autophagy is repressed will be reviewed.
Analysis on the Treatments on Early Diagnosis of Pancreatic Cancer (PC)
Authors: Zhang Jianing
Published: June 2021

Pancreatic cancer is one of the deadliest cancer diseases with a relatively high mortality rate. The higher mortality rate of pancreatic cancer is normally a result of late diagnosis. Early diagnosis and detection are quintessential to the survival of pancreatic cancer patients. However, diagnosis of pancreatic cancer at early stages is extremely challenging and difficult by the use of available biomarkers and serological markers. Sometimes this could be due to the fact that pancreatic cancer might not be responsible for signs and symptoms and consequently, the patients could ignore and might not seek medical attention until cancer develops and spreads to other surrounding organs. This late diagnosis of cancer in advanced stages is usually the major cause of a negative prognosis. This paper seeks to critically analyze the treatment on the early diagnosis of pancreatic cancer and the advancements of diagnostic tools and therapies. The conclusion of this paper is that advances in biomarkers for early diagnosis can greatly help patients with pancreatic cancer. In particular, the marker CA19-9, due to its high level of expression in human malignant, benign reactive and metaplastic pancreatic ducts, plays a very important role in the early diagnosis and monitoring of pancreatic cancer.
A comprehensive review of intracranial aneurysm and comparison between different treatment to the disease
Authors: Zhang Ningquan
Published: June 2021

An intracranial aneurysm is an abnormal protrude in the intracranial arteries’ wall, which is the primary cause of hemorrhagic arachnoid. It is the third cerebrovascular disease besides cerebral thrombosis and hypertensive cerebral hemorrhage. There are many methods of treating intracranial aneurysms. Different methods have different outcomes and have their own advantages and drawbacks. This review provides comprehensive information on intracranial aneurysms and focuses on the comparison of different clinical methods treating this disease. Given the significant health concern of intracranial aneurysms, more attention should be paid, and innovative treating methods would be reasonably expected.
Study on Genetic Diversity of Phellodendron amurense based on cpDNA
Authors: Yang Hongsheng , Yang Donghong , Yang Xuewen , Zhou Qingbo , Cheng Haitao , Li Lili , Liu Decai
Published: June 2021

In this study, 3 haplotypes were found in populations of Phellodendron amurense based on two combined cpDNA regions (psbA-trnH and trnT-trnL). Nucleotide diversity and haplotype diversity were 0.43×10-3 and 0.41, respectively at the level of species. The AMOVA revealed that only 8.53% of the variation was explained by differences among geographical groups, whereas inter-population and intrapopulation differences explained 18.32% and 71.35% of the variation, respectively. Phylogeographical relationships showed that all haplotypes were clustered into two lineages. Haplotype H1 and H2 cluster together, and Haplotype H3 composed a group. TCS network of haplotypes showed that haplotype H1 located in the center of the lineage, and it appears to be an ancestral haplotype. So we hypothesized that Northeast China populations and North China populations had a common origin. The mismatch distribution of this species suggested that all populations and populations in North China had not undergone recent expansion, but populations in Northeast China had undergone recent expansion. The results were consistent with the results of Tajima’s D and Fu’s and Li’s D test.
Chimeric Antigen Receptor (CAR) T Cell Therapy for Digestive Tumor
Authors: Wu Chang , Wu Jun
Published: June 2021

Digestive tumors commonly include esophageal cancer, gastric cancer, liver cancer, pancreatic cancer. Most of which are malignant tumors. All of the tumors do strong harm to human body and seriously affect the physical and mental health of patients. With the change of modern dietary habits, the morbidity of digestive tumors is increasing year by year, and the threat to the society is increasingly intensified. Traditional treatments for digestive tumors include surgical resection, chemotherapy and radiotherapy, all of which can alleviate the symptoms to some extent, but there are still many drawbacks. Compared with traditional therapy, immunotherapy has better therapeutic effect and fewer adverse reactions. Immunotherapy is to activate the human immune system and kill tumor cells by its own immune function. In immunotherapy, CAR-T cell therapy, a kind of personalized therapy that takes effect through gene modification to obtain T cells carrying tumor antigen-specific receptor, occupies a leading position. At present, CAR-T cells have shown excellent results in the treatment of lymphoid and hematopoietic tumors, on the contrast, there are few studies on the treatment of solid tumors. In this article, we summarized the application of some CAR-T cells in solid tumors of the digestive system.
An advance about the genetic causes of epilepsy
Authors: Sun Yu , Lu Licheng , Li Lanxin , Wang Jingbo
Published: June 2021

Human hereditary epilepsy has been found related to ion channel mutations in voltage-gated channels (Na+, K+, Ca2+, Cl-), ligand gated channels (GABA receptors), and G-protein coupled receptors, such as Mass1. In addition, some transmembrane proteins or receptor genes, including PRRT2 and nAChR, and glucose transporter genes, such as GLUT1 and SLC2A1, are also about the onset of epilepsy. The discovery of these genetic defects has contributed greatly to our understanding of the pathology of epilepsy. This review focuses on introducing and summarizing epilepsy-associated genes and related findings in recent decades, pointing out related mutant genes that need to be further studied in the future.
Brain-derived Neurotrophic Factor: a Key Gene Risk Factor and Potential Therapy Target in Bipolar Disorder
Authors: Zeng Yue , Chen Yutao , Li Juming , Su Yuqi
Published: June 2021

Bipolar Disorder (BD) is a worldwide, multifactorial mental disorder characterized by manic and depressive symptoms of varying degrees. Among all the genetic risk factors correlated with BD, brain-derived neurotrophic factor (BDNF) has emerged as a crucial neutropin that influences BD susceptibility with strong conservative across species and multiple downstream signaling pathways. However, the mechanisms of how BDNF polymorphism can contribute to BD are not yet lucid and systematically reviewed. BDNF Val66Met variant is capable of inducing neurodegenisis and Long-term Depression (LTD), both of which account for pathogenesis in BD. The Val66Met variant is associated with rapid cycling episodes in BD. Another variant, Arg125Met is a potential BD risk variant which elicits neuronal apoptosis by affecting the maturation of BDNF. In this paper, we briefly summarized BD epidemiology, symptoms, BDNF structure, and its action of function. We reviewed various mechanisms of BDNF Val66Met and Arg125Met variant for BD pathogenesis in detail and provided insights into possible BD clinical treatment targets. BDNF has been proven to be a noteworthy gene factor in BD and gene therapy targeted on BDNF is a promising therapeutic strategy that requires further research.
Recurrence Risk for Autism Spectrum Disorders: A Baby Siblings Research Consortium Study
Authors: Tang Valeria Li
Published: June 2021

Autism spectrum disorder (ASD) is defined based on the core symptoms of typical autism. It is considered to be a congenital mental disorder and has nothing to do with acquired family education. Children with this disease have difficulties in social interaction, communication, and repetitive behaviours [3]. Since it is a severe disease that hinder the development of children, the risk factors of this disease are worth being investigated. One known risk factor is the gender. However, other risks are not defined yet such as the recurrence risk in siblings. Therefore, the author tried to figure out this risk. This paper reviewed a study done in 2011 about the recurrence risk for autism spectrum disorders in siblings. A longitudinal study was used, meaning that the same test subjects were examined over a period of time. The autism diagnostic observation schedule (ADOS), the standard diagnostic test for ASD was used in this study to determine whether a child is diagnosed with ASD. The results were estimated through parameters of a model numerically by an iterative fitting process. It was found through this research that there was indeed a correlation between children who had siblings with ASD and having ASD themselves.
Analysis on Stem cell Treatment of Alzheimer's Disease
Authors: Zhu Weixun
Published: June 2021

Alzheimer's disease is a neurodegenerative disease characterized by progressive memory loss and cognitive impairment. At present, conventional drugs have little effect on the prevention and treatment of AD, and the rapidly developing stem cell transplantation therapy provides a new direction for the treatment of neurodegenerative diseases. In this paper, we can conclude that stem cell therapies such as neural stem cells and mesenchymal stem cells have shown curative effects in the treatment of neurodegenerative diseases such as Alzheimer’s disease by analyzing existing stem cell research and analysis at this stage, and there will be huge applications in the future. prospect. Stem cells can secrete immunoregulatory factors through paracrine pathways to inhibit inflammation and reduce the accumulation of amyloid. Secrete neurotrophic factors to protect and promote nerve growth. In addition, stem cells can differentiate into neurons after transplantation, replacing damaged and dead nerve cells, and play an important role in rebuilding brain neural circuits and networks. This article analyzes and summarizes the possible ways of stem cell transplantation to treat Alzheimer's disease, which can provide new ideas and methods for future stem cell transplantation therapies.
Durability evaluation of circulating fluidized bed fly ash-based geopolymer
Authors: Dongsheng Li , Xinxing Zhou
Published: June 2021

To make full use of the circulating fluidized bed fly (CFB-FA), rich-water carbide slag was used as alkali-activator to promote the hydration of CFB-FA and prepare circulating fluidized bed fly-based geopolymer (CFB-FAG). The fundamental properties, mechanical properties, and acid alkali-resistance of CFB-FAG were investigated. The optimum content of CFB-FA is 25%. it indicates that CFB-FA can prepare the excellent properties of geopolymer without high-temperature heat treatment. The alkali resistance of CFB-FAG is better than that of acid resistance. Furthermore, the fatigue lifetime of CFB-FAG decreases by 20% after acid treatment. The achievement can help us make full use of the solid waste and achieve the goal of peak carbon dioxide emissions and carbon neutral.
The evolution of children hearing loss: Research progress on recent trends and advances
Authors: Wang Xinyang
Published: June 2021

Hearing impairment is a common disease, affecting about five percent of the population. It puts great pressure on children, their families and society, and has become an significant problem affecting daily life. In recent years, great progress has been made in the study of hearing loss in children. This paper describes the ear structure, the causes of hearing impairment, the assessment and diagnosis of hearing impairment and the current applicable treatment methods through literature review. Previous research on hearing loss in children is summarized in this paper and provides some references for the further research.
Brain-Computer Interface-Progress and Prospects
Authors: Wu Yuchen
Published: June 2021

Since the advent of Brain-Computer Interface (BCI), this technology has been significantly contributed modern society in many aspects such as medical and informational science. With further approaches in this interdisciplinary technology and based on current research, BCI is considered to be the potential solution to medical or surgical difficulties such as restoration of neurological function or motor abilities. In this article, the current state of BCI development in multiple platforms was briefly introduced. By organizing and analyzing laboratory data from the state-of-the-art BCI research, this article also illustrated the breakthrough on different BCI systems based on the lab data. The multitude of applications and contributions in medical science and engineering of both invasive and non-invasive systems were also discussed with the help of clinical data. Eventually, the potential and future attempts will be projected and inferred based on the present state of such connection in this article. After comparing and contrasting two types of interfaces and analysis, a conclusion could be made that invasive systems will eventually surpass noninvasive methods in more applications areas due to its preponderance of precise control.
Cigarette Flavouring Regulation by Using Aroma-producing Microorganism Isolated from Maotai Daqu
Authors: Li Hui , Qu Yang , Cao Kaiqin , Xiong Jianhan , Hua Keying , Liu Zengyu , Wang Hongfei , Yue Lingfan , Tang Yuan , Ding Gensheng
Published: June 2021

The selected Moutai aromatic microorganisms and their metabolites were applied into the fermentation of tobacco leaves in order to improve the tobacco quality. The results showed that a variety of aromatic substances in Moutai, as well as the typical flavor substances commonly used in cigarettes, were detected in the fermented tobacco leaf extract. In view of the GC-MS results as well as the sensory smoking evaluation of tobacco leaf extracts under designed experimental conditions, the optimal parameters of stable single-strain fermentation process was at 40 ℃ for 10-15 days. The results of specific effects of different fermentation conditions on the content of aroma substances in different parts of tobacco leaves after fermentation, as well as the subsequent sensory evaluation, provided basic data for the improvement of tobacco fermentation and aroma flavoring technology, which was conducive to the development of new cigarettes.
Study on the characteristics of mold in military aviation material warehouse
Authors: Li Li , Hongqiang Zhao , Yumin Shi , Jiongkun Wang , Xingxiang Guo , Kun Li
Published: June 2021

Aviation equipment warehouse is responsible for the combat training task of the army. The existence of mold in the warehouse reduces the quality and performance of equipment, and the quality of storage equipment directly affects the strength of aviation equipment support ability. In this paper, the main characteristics of storage mold were studied, the micro morphology and colony characteristics of storage mold were analyzed, and the main types of mold in aviation material warehouse were introduced, which provided a theoretical basis for further research on the growth and control of mold.
Review the Regulation of Plasma Membrane Calcium Channel in Cancer and Patch Clamp Technique
Authors: Chen Nanjun , Fang Qigeng
Published: June 2021

As one of the most versatile and universal second messengers, calcium plays an essential role in cell life. Here we briefly reviewed the research progress of how different calcium channels are located at the cell plasma membrane, including voltage-gated calcium channels (VGCCs), receptor-operated channels (ROC), and store-operated channels (ROC). These channels can regulate different cancer progression. Afterward, the patch clamp technique's development and operating principle, an important quantitative method used for ion channel investigation, are introduced in this paper.
Application of magnetic nanoparticles Fe304 in the field of orthopedics and medicine
Authors: Fan Xunqin , Liu Shuan , Ruan Ke
Published: June 2021

Magnetic nanoparticle Fe304 have super paramagnetic, biological cell compatibility, low toxicity, antibiosis and bacteriostasis, drug loading, sustained release and thermal effect. Using magnetic nanoparticies Fe304 as magnetic source, magnetic masoporous glass two-dimensional bone framework was synthesized under the action of external magnetic field, which provides growth space for bone repair, cell proliferation and metabolism, and contribute to mineralizing. The same time, The application of graphene, especially magnetic nanoparticles Fe304, in bone materials, bone repair and relatedmedicalfields was discussed.