bluuebunny/crossref_metadata_2025 huggingface dataset:
Silicon carbide formation from methane and silicon monoxide
Authors: Aarnæs Trygve Storm , Ringdalen Eli , Tangstad Merete
Published: December 2020

Silicon carbide (SiC) formation plays an important role during the production of elemental silicon. SiC forms through a high temperature reaction between silicon monoxide gas (SiO) and carbon. Currently, the carbon sources are solids, however finding a way of substituting the solid carbon with methane could have several advantages. SiC formation was studied in argon, hydrogen and methane containing atmospheres at 1650 °C and 1750 °C. SiO gas was generated from pellets of a 1:2 molar ratio of SiC and silica (SiO2). The reactions were investigated through CO off-gas analysis in conjunction with measuring the weight change. After each experiment, the reaction products were examined in a scanning electron microscope with secondary electrons and through energy-dispersive X-ray spectroscopy. It was confirmed that SiC may form from SiO and methane. Increasing the methane content to 5% caused a significant increase in SiC formation. Furthermore, the SiC structure was also highly sensitive to the methane content that was used. In addition, the SiO producing reaction was affected by hydrogen. The hydrogen lead to an increased rate of SiO formation relative to what was seen in argon. The effect of hydrogen was most pronounced at 1750 °C which is right after the melting of silica.
Author Correction: Shift work influences the outcomes of Chlamydia infection and pathogenesis
Authors: Lundy Stephanie R. , Richardson Shakyra , Ramsey Anne , Ellerson Debra , Fengxia Yan , Onyeabor Sunny , Kirlin Ward , Thompson Winston , Black Carolyn M. , DeBruyne Jason P. , Davidson Alec J. , Immergluck Lilly C. , Blas-Machado Uriel , Eko Francis O. , Igietseme Joseph U. , He Qing , Omosun Yusuf O.
Published: December 2020

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Recent Advances in Computational NMR Spectrum Prediction
Authors: Castro Abril C. , Swart Marcel
Published: December 2020

The applications of NMR chemical shift calculations have shown an extraordinary expansion and diversification in the last decade. A significant proportion of these efforts have been devoted to interpreting and reproducing NMR experiments within different solvent environments and in a variety of complexes containing heavy element(s) or molecules of an open-shell nature. Thus, it is the purpose of this chapter to present a broad overview of the state-of-the-art in the field of computational NMR spectroscopy with a particular focus on applications for the prediction of NMR spectra, including NMR chemical shifts of diamagnetic and paramagnetic systems. At the same time, this chapter provides an analysis of the quantitative methodologies developed during recent years, including representative applications to illustrate the historical evolution of this field. Important aspects of the dynamical or solvent effects, and relativistic contributions are also mentioned, highlighting the advantages and limitations of the available methodologies.
Extracellular Vesicles in Precision Medicine
Authors: Ruhen O. , Meehan K.
Published: December 2020

Extracellular vesicles (EVs) are a part of the armamentarium that are poised to revolutionise precision medicine. Drawing from over 30 years of research, we have described how these small, yet robust particles are synthesised, classified and isolated from a range of cell types and biofluids. We have also described their physiological and pathological roles, which underscore their diagnostic and therapeutic potential. We explain that the molecular cargo of EVs is dynamic and provides a real-time snapshot of the cells from which they originate. While this offers a real opportunity in translational medicine, important biological and technical ramifications must be mitigated. We highlight key challenges in the field and offer our insight on potential solutions.
Computational Prediction of Tumor Neoantigen for Precision Oncology
Authors: Tang Shaojun
Published: December 2020

Advances in immune checkpoint blockade have elicited adaptive immune responses with promising clinical responses to treatments against human malignancies. Emerging data suggest that recognition of patient-specific mutation-associated cancer antigens may allow scientists to dissect the immune response in the activity of clinical immunotherapies. On the other hand, studies indicate that more than 90% of human genes are alternatively spliced. The advent of high-throughput sequencing technology has provided a comprehensive view of both splicing aberrations and somatic mutations across a range of human malignancies. We introduced a computational method that works on both short-read and long-read sequencing data, which allows us to significantly improve the detection of cancer antigens resulting from alternative splicing variants, insertions, deletions and point mutations. Subsequent analysis of these cancer antigen candidates with widely used tools such as netMHC allows for the accurate in silico prediction of neoantigens. These altered peptide sequences may elicit immune responses such as T-cell recognition and tumor cell clearance if they are properly presented by the immune system and have a far-reaching impact on the prediction of clinical benefits to immunotherapy.
Pollution of Water and Food by Hormonally Active Pesticides and Drugs (Human and Veterinary): Focus on Emerging Countries: Emerging Contaminants with Endocrine Disruption Potential in Brazil
Authors: Solano Marize de Lourdes Marzo
Published: December 2020

Significant increases in agricultural production and productivity have been achieved in the last decades and Brazil has become one of the main players in world agribusiness with the largest consumption in absolute values of pesticides in the world. However, the consequences of a predatory model of production and development can cause problems of environmental contamination and human health either via water and food or by direct exposure of workers to different chemicals. Contaminants in Brazil are found in the environment, in the water, in the fresh food, grains, breast and cow's milk, everywhere. Therefore, it is not only a question of exposure, but in fact a problem of imposition. Available data published by Brazilian researchers are showing contamination of aquatic ecosystems and human population groups by persistent chemicals, hormones and pesticides suspected to have endocrine-disrupting properties. The most recent investigations on endocrine-disrupting chemicals detected in environmental and human samples are reported here as well as the current activities by official regulatory bodies. The legislation from 1988 is protective from the point of establishing cutting off criteria and non-approval for pesticides, but there is a big gap between what is in the law and what happens in practice. In conclusion, there is no structure to monitor all chemicals and products consumed and released in the country, which results in recurrent human and environmental contamination. Overall, the massive role of Brazil within the international food and agro-energy supply makes the effects of pollution not only a local problem but also a global concern.
Pollution of Food and Water by Hormonally Active Pesticides and Veterinary Drugs Residues: Focus on Sub Saharan African Countries
Authors: Bertrand Pouokam Guy
Published: December 2020

In Sub-Saharan African countries, more than 60% of the active population is involved in agriculture. Synthetic pesticides and veterinary drugs are mainly imported from developed economies and are massively used and misused by the population. The level of environmental pollution by residues of these chemicals is considered to be a serious concern all over the continent. Populations and animals are at risk of exposure to highly polluted food and water. This chapter reviews the exposure levels to pesticides and veterinary drugs residues through selected highly consumed foods. Herbicides, insecticides and antibiotics are frequent residues found in foods; most foods items revealed contaminations by multiples chemicals. Levels of contamination are often higher than maximum residues limits set by the Codex Alimentarius or by the European Union. Preliminary estimations of consumers’ dietary exposure and health risk suggest a real public health concern from endocrine disrupting agrochemicals. Very few studies have been carried out so far on this concern and decision makers remain greatly unaware of the rising issue of health risks in Africa associated with exposure to hormonally active pesticides and veterinary drugs.
Endocrine Disruptors in Building Materials
Authors: Fucic Aleksandra
Published: December 2020

The construction industry has a significant impact on the environment, as construction products and buildings alone consume significant amounts of energy, cause large CO2 emissions and create large quantities of waste. Demands for sustainable construction processes, which, among others, include energy-efficient solutions, drive the construction industry to develop new technologies and materials. Thus, interdisciplinary collaboration has resulted in the introduction of new materials and technologies, which among others also apply compounds which are known endocrine disruptors. However, data on emissions from certain numbers of building materials and the possible health effects on adults and children after long term indoor exposures are not available. Additionally, building materials, which have endocrine disrupting properties, also represent a health risk for workers in the construction sector that is not supported by occupational health surveillance and preventive programs. Levels of emissions from building materials, especially those applied in finishing works, may be affected by climate changes.
Comment on “The solvent and zinc source dual-induced synthesis of a two dimensional zeolitic imidazolate framework with a farfalle-shape and its crystal transformation to zeolitic imidazolate framework-8” by C.-X. Jin et al., 2020, 49, 2437
Authors: Glante Stephan , Hartmann Martin
Published: December 2020

The material ZIF-F reported by Jin et al. is not a new structure, but one of the oldest known polymorphs of ZIF-8, viz. ZIF-8dia. In this comment, we shed some light on the formation of different polymorphs as a function of the synthesis mixture.
Stability, relaxometric and computational studies on Mn2+ complexes with ligands containing a cyclobutane scaffold
Authors: Porcar-Tost Oriol , Pallier Agnès , Esteban-Gómez David , Illa Ona , Platas-Iglesias Carlos , Tóth Éva , Ortuño Rosa M.
Published: December 2020

The incorporation of a rigid cyclobutane spacer into the EDTA scaffold impacts the relaxivity, water exchange kinetics and stability of the Mn2+ complex.
Fluorinated metal organic frameworks, MFFIVE-Ni-L (M = Fe/Al, L = pyr), with coordinatively unsaturated metal site for CO2 separation from flue gas in the presence of humidity by computational methods
Authors: Palakkal Athulya S. , Pillai Renjith S.
Published: December 2020

CO2 capture from flue gas compositon (i.e. CO2/N2 = 15/85) under humid condition in coordinatively unsaturated (CUS) square pillared fluorinated metal organic framework (MOF) is computationally investigated with newly derived specific forcerfield.
Electrochemical oxidative thiocyanation and amination of enaminones towards the synthesis of multi-substituted alkenes
Authors: Lu Fangling , Zhang Kan , Yao Yanxiu , Yin Ying , Chen Jiafu , Zhang Xinwei , Wang Yin , Lu Lijun , Gao Ziwei , Lei Aiwen
Published: December 2020

A highly stereoselective synthesis of thiocyanated enaminones was achieved by an electrochemical process, which involved C–H bond thiocyanation and vinyl C–N bond transamination.
Developing an advanced gut on chip model enabling the study of epithelial cell/fibroblast interactions
Authors: Verhulsel Marine , Simon Anthony , Bernheim-Dennery Moencopi , Gannavarapu Venkata Ram , Gérémie Lauriane , Ferraro Davide , Krndija Denis , Talini Laurence , Viovy Jean-Louis , Vignjevic Danijela Matic , Descroix Stéphanie
Published: December 2020

We report on a new gut on chip combining the co-culture of primary epithelial and stromal cells in 3D biomimetic scaffold. Proper segregation of dividing and differentiated cells along the crypt-villus axis was achieved in these unique conditions.
Electrochemically promoted C-3 amination of 2H-indazoles
Authors: Sun Mingli , Zhou Yuhui , Li Laiqiang , Wang Lei , Ma Yongmin , Li Pinhua
Published: December 2020

A metal-free and external oxidant-free method for the C-3 amination of 2H-indazoles in good yields was developed under electrochemical conditions.
Carbene-catalyzed selective addition of isothioureas to enals for access to sulphur-containing 5,6-dihyropyrimidin-4-ones
Authors: Maiti Rakesh , Xu Jun , Yan Jia-Lei , Mondal Bivas , Yang Xing , Chai Huifang , Hao Lin , Jin Zhichao , Chi Yonggui Robin
Published: December 2020

A carbene-catalyzed highly regioselective and enantioselective 1,4-addition reaction between isothioureas and enals has been achieved under oxidative conditions.
Extraction of lignin and quantitative sugar release from biomass using efficient and cost-effective pyridinium protic ionic liquids
Authors: Asim Azmat Mehmood , Uroos Maliha , Muhammad Nawshad
Published: December 2020

Lignocellulosic biomass is enormously abundant around the globe. It bears huge potential for renewable products as its components can be converted to many useful products via cheaper processes.
Defects and defect engineering in Soft Matter
Authors: Jangizehi Amir , Schmid Friederike , Besenius Pol , Kremer Kurt , Seiffert Sebastian
Published: December 2020

Defect engineering is a success story in crystalline hard matter; this review summarizes its parallels in amorphous soft matter.
Reduced grey brookite for noble metal free photocatalytic H2evolution
Authors: Wierzbicka Ewa , Altomare Marco , Wu Mingjian , Liu Ning , Yokosawa Tadahiro , Fehn Dominik , Qin Shanshan , Meyer Karsten , Unruh Tobias , Spiecker Erdmann , Palmisano Leonardo , Bellardita Marianna , Will Johannes , Schmuki Patrik
Published: December 2020

Herein we introduce for the first time a reduced “grey” brookite TiO2photocatalyst, produced by thermal hydrogenation of brookite nanoparticles, that shows a remarkable noble metal free photocatalytic H2evolution.
NPHS2 gene polymorphism aggravates renal damage caused by focal segmental glomerulosclerosis with COL4A3 mutation
Authors: Sun Liping , Zhang Xinzhou , Wang Zhen
Published: December 2020

Focal segmental glomerulosclerosis (FSGS), a type of primary glomerular disease, is the leading cause of end-stage renal disease (ESRD). Several studies have revealed that certain single-gene mutations are involved in the pathogenesis of FSGS; however, the main cause of FSGS has not been fully elucidated. Homozygous mutations in the glomerular basement membrane gene can lead to early renal failure, while heterozygous carriers develop renal failure symptoms late. Here, molecular genetic analysis of clinical information collected from clinical reports and medical records was performed. Results revealed that nephrosis 2 (NPHS2) gene polymorphism aggravated renal damage in three FSGS families with heterozygous COL4A3 mutation, leading to early renal failure in index patients. Our findings suggest that COL4A3 and NPHS2 may have a synergistic effect on renal injury caused by FSGS. Further analysis of the glomerular filtration barrier could help assess the cause of kidney damage. Moreover, a detailed analysis of the glomerular basement membrane-related genes and podocyte structural proteins may help us better understand FSGS pathogenesis and provide insights into the prognosis and treatment of hereditary glomerulonephropathy.
The GAPS Programme at TNG
Authors: Carleo I. , Desidera S. , Nardiello D. , Malavolta L. , Lanza A. F. , Livingston J. , Locci D. , Marzari F. , Messina S. , Turrini D. , Baratella M. , Borsa F. , D’Orazi V. , Nascimbeni V. , Pinamonti M. , Rainer M. , Alei E. , Bignamini A. , Gratton R. , Micela G. , Montalto M. , Sozzetti A. , Squicciarini V. , Affer L. , Benatti S. , Biazzo K. , Bonomo A. S. , Claudi R. , Cosentino R. , Covino E. , Damasso M. , Esposito M. , Fiorenzano A. , Frustagli G. , Giacobbe P. , Harutyunyan A. , Leto G. , Magazzù A. , Maggio A. , Mainella G. , Maldonado J. , Mallonn M. , Mancini L. , Molinari E. , Molinaro M. , Pagano I. , Pedani M. , Piotto G. , Poretti E. , Redfield S. , Scandariato G.
Published: December 2020

Context. Young stars and multi-planet systems are two types of primary objects that allow us to study, understand, and constrain planetary formation and evolution theories.

Aims. We validate the physical nature of two Neptune-sized planets transiting TOI-942 (TYC 5909-319-1), a previously unacknowledged young star (50−20+30 Myr) observed by the TESS space mission in Sector 5.

Methods. Thanks to a comprehensive stellar characterization, TESS light curve modeling and precise radial-velocity measurements, we validated the planetary nature of the TESS candidate and detected an additional transiting planet in the system on a larger orbit.

Results. From photometric and spectroscopic observations we performed an exhaustive stellar characterization and derived the main stellar parameters. TOI-942 is a relatively active K2.5V star (log R′HK = −4.17 ± 0.01) with rotation period Prot = 3.39 ± 0.01 days, a projected rotation velocity v sin i⋆ = 13.8 ± 0.5 km s−1, and a radius of ~0.9 R⊙. We found that the inner planet, TOI-942 b, has an orbital period Pb = 4.3263 ± 0.0011 days, a radius Rb = 4.242−0.313+0.376 R⊕, and a mass upper limit of 16 M⊕ at 1σ confidence level. The outer planet, TOI-942 c, has an orbital period Pc = 10.1605−0.0053+0.0056 days, a radius Rc = 4.793−0.351+0.410 R⊕, and a mass upper limit of 37 M⊕ at 1σ confidence level.
Minimal blowing pressure allowing periodic oscillations in a simplified reed musical instrument model: Bouasse-Benade prescription assessed through numerical continuation
Authors: Gilbert Joel , Maugeais Sylvain , Vergez Christophe
Published: December 2020

A reed instrument model with N acoustical modes can be described as a 2N dimensional autonomous nonlinear dynamical system. Here, a simplified model of a reed-like instrument having two quasi-harmonic resonances, represented by a four dimensional dynamical system, is studied using the continuation and bifurcation software AUTO. Bifurcation diagrams of equilibria and periodic solutions are explored with respect to the blowing mouth pressure, with focus on amplitude and frequency evolutions along the different solution branches. Equilibria and periodic regimes are connected through Hopf bifurcations, which are found to be direct or inverse depending on the physical parameters values. Emerging periodic regimes mainly supported by either the first acoustic resonance (first register) or the second acoustic resonance (second register) are successfully identified by the model. An additional periodic branch is also found to emerge from the branch of the second register through a period-doubling bifurcation. The evolution of the oscillation frequency along each branch of the periodic regimes is also predicted by the continuation method. Stability along each branch is computed as well. Some of the results are interpreted in terms of the ease of playing of the reed instrument. The effect of the inharmonicity between the first two impedance peaks is observed both when the amplitude of the first is greater than the second, as well as the inverse case. In both cases, the blowing pressure that results in periodic oscillations has a lowest value when the two resonances are harmonic, a theoretical illustration of the Bouasse-Benade prescription.
Research on Consumers’ Attitudes towards Online and Offline Shopping
Authors: Yan Xue
Published: December 2020

This paper collects data by means of questionnaire survey and analyzes the data to study consumers’ psychological survey and the relationship between consumer characteristics and online and offline shopping, so as to speculate how to maximize their own interests for online and offline businesses. In the early stage, a wide range of data through questionnaires are used in this research. A total of 300 questionnaires are collected, 282 of which are valid. Excel and Python are used to analyze the relationship between various factors. The relationship between each other is inferred by analyzing the linear relationship and the data distribution. Through analysis, it shows that most people still prefer online shopping, which has become a development trend. Only a minority of consumers over the age of 30 remain enthusiastic about offline shopping. Most of the online products are clothes, cosmetics, skin care products, snacks, etc., while offline products tend to be fresh products, drinks, and clothing, etc. In addition, online shopping has become a trend in the future. Offline merchants should improve consumers’ shopping experience by emphasizing more on the actual consumption experience and feelings brought by shopping and improve other supporting services that can be implemented offline to attract more consumers’ offline shopping.
Development of Online Marketing During Coronavirus Epidemic
Authors: Yang Zhichun
Published: December 2020

At the beginning of 2020, the new coronavirus epidemic broke out globally. This epidemic has a serious impact on the country’s economy, with a huge impact, a wide range and a deep degree. The epidemic has spread to a large extent and has brought serious harm to the world economy. But if we look at the impact of the epidemic on the national economy dialectically, opportunities and challenges should coexist. This article analyzes the opportunities and challenges faced by the Internet economy during the epidemic and the development of China’s online marketing model during the epidemic. The combination of traditional business and emerging business is the focus of online marketing development. Through new media and big data analysis, the new online marketing model is no longer a simple e-mail advertisement and information on both sides of the article. The new network marketing model will become an important part of the economy in the post-epidemic era.
The role of cost control in the financial management of small and medium-sized enterprises
Authors: Sun Menglei
Published: December 2020

With the gradual acceleration of urbanization construction process, the economic level of China has b een significantly improved, especially the small and medium-sized enterprises under the support of national polici es have gradually accelerated the development speed in the process of urbanization construction, at the same time, to a certain extent, it has improved the economic interests and competitiveness, and promoted the subsequent rapi d development of small and medium-sized enterprises step by step. It is worth noting that in the process of acceler ating the development of small and medium-sized enterprises, the role and importance of financial management ar e increasingly highlighted. In order to ensure the full play of the role of financial management, people need to pay more attention to the application of financial management cost control. The main reason is that cost control is an i mportant part of financial management, which has an important impact on the development of enterprises and busi ness activities, and has a decisive role in the effectiveness of financial management of small and medium-sized ent erprises. Based on this, when small and medium-sized enterprises are facing increasing market competition, they must attach importance to the role of cost control in the financial management of enterprises, and try their best to p lay the actual effect of cost control, so as to provide continuous impetus for the development of small and medium-sized enterprises.
Bitcoin price prediction using ARIMA and LSTM
Authors: Hua Yiqing
Published: December 2020

The goal of this paper is to compare the accuracy of bitcoin price in USD prediction based on two different model, Long Short term Memory (LSTM) network and ARIMA model. Real-time price data is collected by Pycurl from Bitfine. LSTM model is implemented by Keras and TensorFlow. ARIMA model used in this paper is mainly to present a classical comparison of time series forecasting, as expected, it could make efficient prediction limited in short-time interval, and the outcome depends on the time period. The LSTM could reach a better performance, with extra, indispensable time for model training, especially via CPU.
Analysis on the Mechanism of Digital Economy Boosting the High-quality Development of Agriculture in China
Authors: Zhao Jianhua , Gong Yanyu
Published: December 2020

With the introduction and application of 5G, the digital economy has become a new driving force for the high-quality development of agriculture. This study takes the digital economy as the development-oriented ‘digital village’ Hebi City as a case, and analyzes the practical basis for the digital economy to promote the high-quality development of agriculture in China from three aspects: power change, quality change and efficiency change. This paper explains the theoretical mechanism of digital economy to promote the high-quality development of agriculture from four perspectives of infrastructure, technological innovation, talent training and industrial development, and strives to realize the three major changes in agriculture through digital economy, accelerates the digital transformation and upgrading of agriculture in China, and promotes the high-quality development of agriculture.
Optimal user oriented multi-level experience planning strategy for electric automobile charging path
Authors: Wang Wen , Peng Xiaofeng , Jia Jun , Zhao Ji , Xiao Wei , Su Shu
Published: December 2020

Focusing on the battery-charging problem that is brought to the electric automobile users, this paper integrated the “automobile-network-path” multi-source information and presented the multi-level user experience index system which combined charging prices, driving distances, degrees of traffic congestion and other factors. The recommended algorithm and model for charging strategy was built up to improve the user experience. Meanwhile, it invoked map Application Programming Interface (API) to plan multiple paths. Consolidated by the status of charging piles, the distance between the automobile and the piles, the charging prices along with more real-time information, the multi-level user oriented experience index system was set up to recommend an optimal navigation route to the charging station for the automobile owners. Validated by the application results, the proposed algorithm that helped navigate to the charging stations or piles can effectively solve the practical problems1 such as difficulty in orienting the charging piles, waiting in lines, and high charging fees.
Diagenesis of Xing’anling Oil Reservoir in Sudeerte Area
Authors: Yu Haoran , Yu Xuntao , Liu Chengzhi , Yuan Hongqi
Published: December 2020

In order to explore the types of diagenesis in Sudeerte area, through core and thin slice identification, it is clear that the Xing’anling oil layer is mainly affected by compaction, cementation, andrecrystallization. The compaction is mainly early compaction, late pressure dissolution is not obvious; cementation presents two forms of crystalline quartz and amorphous opal; recrystallization is manifested as the conversion process of opal t-ochalcedony quartz.
Analysis on Solar Streetlights Battery Box Drop
Authors: Zhuang Zecheng , Yao Yinjing , Zhang Xueke , Xu Shichao , Hu Junwang , Lan Minhua , Luo Tao
Published: December 2020

Solar streetlights are new type of road lighting lamps, and are used on islands, rural, industries, parks, schools and other public places. In consideration of which it was easy to drop and to damage in response to wind vibration and transportation. Thus, in this paper, the drop positions of new power solar lamp battery box were computed and force positions of battery box drop were analyzed by ABAQUS numerical simulation.
Research on Logistic Operation of Public 3A Grade hospitals
Authors: Zhan Yuan , Liu Yang , Zou Shiqing
Published: December 2020

Research on hospital logistics management is conducive to improving the efficiency of logistics operations and promoting the economic development of the hospital. In order to solve the problem of logistics management affected by a large number of uncertainties and multi-state factors, a set of 12-factor research index system was constructed from three aspects: basic skills, element skills, and task skills, and at the same time, the level of evaluation indicators was determined. In the interval, a research method of hospital logistics management based on cloud model is proposed. And according to Monte Carlo simulation, find out specific sensitive factors. Finally, the effectiveness and feasibility of the method is verified through the logistic operation and maintenance examples of 4 Grade-A public hospitals in Wuhan.
Study on the anticancer biological mechanism of Resveratrol
Authors: Du Juan , Yang Dongsheng , Hu Wenzhong , Meng Fanxin , Lin Zhongping
Published: December 2020

Trans 3, 4 ′, 5-3 hydroxy 2 styrene (resveratrol) is a kind of naturally occurring polyphenols phytoalexin. Resveratrol has significant anti-cancer activity, mainly exists in grapes, berries, and peanuts, has anti-aging, protect the heart, antioxidant, antiproliferation, promote apoptosis and immune regulation. Resveratrol has been widely concerned in the treatment of cancer and autoimmune diseases resveratrol. Resveratrol synthase (RS) is a key enzyme in the synthesis of resveratrol synthase. In this study, RS containing genes were placed under the control of fruit-specific promoter RJ39 to transform tomatoes by transgenic method. The extraction of fruits containing RS genes showed an obvious absorption peak on the HPLC chromatographic map, and it also had an obvious inhibitory effect on the growth of Hela cells.
A Review of the Role of Gut microbiome in Obesity
Authors: Zhang Muxin
Published: December 2020

Obesity has become a global epidemic during the last several years. In addition to genes, lifestyle, socioeconomic status, and other factors that mainly give rise to obesity, gut microbiome recently has aroused great concern for its pivotal role in obesity and host metabolism. A great number of studies have done to uncover the inner associations between gut microbiota and obesity. Among the commonly reported findings, the phylum of Firmicutes and Bacteroidetes are highly related to excessive weight gain, with a higher ratio of F/B in obese subjects. In this review, we summarized some important studies focusing on the alteration and possible role of different bacterial taxa affecting obesity. We also discussed the diet effect on intestinal microbial community and potential molecular mechanisms of energy metabolism involved by gut microbiota.
Research on the Direction of Ion Channel Related to Epileptic Seizures
Authors: Yin Jianing
Published: December 2020

Epilepsy is a group of chronic brain diseases characterized by transient central nervous system dysfunction caused by repeated abnormal synchronization of neuronal discharges in the brain, with sudden onset and repeated seizures. Epilepsy has been listed as one of the five major neuropsychiatric diseases of the World Health Organization (WHO). Hereditary epilepsy refers to epilepsy syndromes previously classified as idiopathic generalized epilepsies (IGEs), which encompasses several different epilepsy syndromes ranging in clinical severity from relatively benign febrile convulsions (FS) and childhood absence epilepsy (CAE) to the more severe juvenile myoclonic epilepsy (JME) and generalized epileptic seizures with febrile convulsions (GEFS+). This article analyzes the direction of ion channel related to epileptic seizures. It will look forward to the future research direction of some of the ion channels related to epileptogenesis.
Pollution characteristics of toxic metals in topsoil of small and medium-sized cities in mountainous areas of loess plateau in china——A case study of Guyuan
Authors: Ma Gui , Han Xinning , Zhao Wenxia , Cao Jiangping , Li Meiyuan
Published: December 2020

Urban soils are subjected to large number of pollutants (including toxic metals). This study investigated the urban soil environmental quality of Guyuan (a typical mountainous city in the Loess Plateau of northwestern China) by determining the concentrations of eight toxic metals (Cu, Zn, Cd, Pb, Cr, Ni, Mn, and Co) in urban topsoil as well as their potential sources. The toxic metal contents in the urban topsoil of Guyuan were generally less than those of other cities in northwestern China. Majority of the metals were highly concentrated in commercial and residential areas at the centre of Guyuan and the industrial region in southeastern Guyuan. The results of our study can contribute towards controlling, managing, and preventing soil pollution, as well as implementing safe layouts for the development of mountainous cities from the planning stage itself.
Chinese Medicine Characteristic Nursing for Mild and Ordinary Types of SARS-CoV-2 Virus Infected Patients
Authors: Wu Meirong
Published: December 2020

SARS-CoV-2 is a new type of coronavirus, its source has not been accurately traced back. According to relevant medical studies, this noncellular morphological microorganism of about 60-140 nm in length may cause severe respiratory, cardiovascular and digestive system damage to infected patients. The disease caused by the virus is named as COVID-19 (Corona Virus Disease 2019) by WHO. For COVID-19, no matter it is an anonymous asymptomatic treatment by Chinese and Western medicine, there is currently no specific medicine. The Traditional Chinese Medicine (TCM) book named as “Basic Questions · Acupuncture Theory” points out that this kind of disease is a epidemic disease, easy to infect each other, and its symptoms are similar for all ages. Based on many years of traditional Chinese medicine nursing experience and authoritative literature, the author summarizes a set of traditional Chinese medicine characteristic nursing program for mild / ordinary type of SARS-CoV-2 virus infected patients, which can make the patient recover quickly. The main idea is to improve the patients’ resistance to the coronavirus by using traditional Chinese medicine characteristic nursing such as diet conditioning, scraping, massage, plaster, baduanjin exercise, moxibustion and Chinese medicine emotion nursing on the basis of TCM syndrome differentiation and classification. The TCM characteristic nursing program summarized in this paper has been applied to patients with mild / ordinary type of new coronavirus pneumonia, and has achieved good nursing results.
Cancer Detection from Plasma Cell-Free DNA
Authors: Chen Li
Published: December 2020

Liquid biopsy of cell-free DNA (cfDNA) has attracted much attention for its promise to realize pan-cancer detection in a non-invasive way. The whole-genome bisulfite sequencing (WGBS) is widely used in cfDNA sequencing analysis and lays the foundation for further study on cfDNA. The cfDNA released by multiple tissues carries genetic and epigenetic information. Methylation patterns, copy number variation (CNV) and fragmentation changes have been discovered in previous studies and achieved a promising accuracy. In this review, different cancer detection methods based on these three biomarkers are introduced. In addition, feature fusion is discussed for its potential in enhancing performance in clinical applications.
The Application of Case Teaching Method in Computer English Teaching under OBE Mode——Taking College English Blending Teaching of Hetao College as An Example
Authors: Li Congsen , Gu Yunfei
Published: December 2020

This article takes college English blending teaching in Hetao College as an example to analyze the concept of case teaching method under OBE mode. The author combines the application value of the case teaching method under the OBE mode and the current research on the current situation of computer English teaching to decompose the learning task. This article studies how to choose suitable teaching cases, how to guide students do well teamwork, how to improve the comprehensiveness of the assessment system, and how to reverse design the curriculum system. The author’s purpose is to enhance the effectiveness of college English classroom teaching and enhance students’ comprehensive learning ability.
Research on the Communication Mode of Shanxi Red Cultural Creative Tourism under the Background of Interactive Image Design
Authors: Tian Kun , Li Jian , Chen Jiang
Published: December 2020

With the advent of the Internet era and the popularization of computer intelligent software and hardware, the textual information we are exposed to is declining. Humans have slowly moved from obtaining information through text to understanding the world in a multidimensional space of images, sounds and perception. In the context of the visual age, as a brand-new design language, digital images have a more powerful evocative ability than a simple combination of text and pictures. With the maturity of digital technology and the improvement of the public’s aesthetic level, people are no longer satisfied with the audience role of passively receiving information, but are eager to become information disseminators while obtaining information through participation and interaction. Due to the public’s pursuit of information acquisition, the interactive design function of digital images has received more and more attention and has been widely used in various fields of information dissemination. As a new type of media, digital images have sprung up in mass communication by virtue of their unique advantages and become an irreplaceable part. The rise of digital images has opened up new channels for the spread of Shanxi’s red culture. This article will take the advantages of interactive video media as the breakthrough point, analyze the current problems in the use of interactive images in the communication of Shanxi’s red culture, and put forward practical suggestions on how to apply digital images to the communication of Shanxi’s red culture, with a view to enhancing Shanxi’s red The spread of culture.
Research on weather classification pattern recognition based on support vector machine
Authors: Guo Jia , Li Teng , Cheng Rong , Tan Lingfeng
Published: December 2020

weather is the most important factor affecting the photovoltaic power generation.In this paper, the irradiance data of a photovoltaic power station in crodora in 2020 are collected, and the daily out of ground irradiance and the measured irradiance curve of that day are compared and observed, then the weather of that year is classified by human work, and then the daily irradiance data records are counted for the relevant indicators, with the maximum third order Based on the attributes of difference value, discrete difference and normalized variance, it is unified with the classified weather type.Then, the SVM prediction model of weather category is established based on radial basis function, and the optimal model parameters are determined by cross validation, so that a large number of historical date weather categories can be classified and predicted.This is obviously different from the traditional prediction method based on linear statistical theory, and the results show that it has a good effect.
Research on Protection and Utilization of Irrigation Works Heritage in Hetao Irrigation District in Inner Mongolia
Authors: Deng Jun , Tan Xuming , Wang Li , Li Yunpeng , Liu Jiangang , Zhou Bo
Published: December 2020

Hetao Irrigation District in Inner Mongolia was built in the Qin and Han Dynasties and has been fulfilling its good irrigation function. Through field investigation, data collection and visits to experts, scholars and management departments, this paper summarizes the historical evolution and composition of irrigation works heritage in Hetao Irrigation District and its historical, social and scientific values.
Exploration on SPOC-based Blended Teaching Strategies in Business English Reading Course
Authors: Zhang Jinchun , Zhang Dongshui
Published: December 2020

As the new direction of education reform in the internet era, the SPOC-based blended teaching mode has become increasingly popular in universities, because it can enrich teaching content, diversify learning path, enhance interaction between teachers and learners, and most importantly improve students’ learning enthusiasm and effectiveness. However, due to the lack of substantial knowledge and strategies on SPOC-based teaching concept as well as computer technology, many English teachers cannot conduct SPOC-based blended teaching mode well in their classes even though they have the intention to do it well. Therefore, taking business English reading course as a case study, this paper explores some effective strategies on how to apply SPOC-based blended teaching in English courses, so as to provide useful enlightenment for foreign language teachers in universities and colleges to better conduct blended teaching in their classes in the future.
Variable data measurement systems analysis: advances in gage bias and linearity referencing and acceptability
Authors: Abdelgadir Mahjoub , Gerling Chris , Dobson Joel
Published: December 2020

Measurement systems analysis (MSA) is a set of requirements and procedures adopted by the automotive industry and other disciplines to evaluate the accuracy and precision of measurement systems through assessing and quantifying the random and systematic errors and assigning appropriate dispositions for tolerance and performance acceptance. The methodology of variable data MSA comprises studies of a system's stability, bias, linearity and gage repeatability and reproducibility (GR&R). This paper describes advances in referencing and criteria for estimation of uncertainty errors, dispositions, and acceptability of MSA bias and linearity, proposing an extension to the basic statistical zero null-hypothesis to include overlap between confidence intervals and uncertainty associated with the reference standards used in bias and linearity studies.
Probability Theory and Mathematical Statistics E-course in Nomotex DLS
Authors: Dimitrienko Yury I. , Oblakova Tatyana V. , Zubarev Kirill M. , Salnikova Anna A.
Published: December 2020

The paper considers the concept of constructing Probability Theory and Mathematical Statistics electronic course for interactive learning. The approach to the design of the e-course is described, and the advantages of using the new teaching technology in the Digital Learning System Nomotex, developed at the Department of Computational Mathematics and Mathematical Physics of the Bauman Moscow State Technical University, are demonstrated.
Selections of donors depending on agronomic traits, seed yield components, and fatty acid profile for genetic improvement of Carthamus using stepwise multiple regression
Authors: Yassein Ahmed A.M. , Khalaf Ahmed E.A. , Mohdaly Adel A.A. , Roby Mohamed H.H.
Published: December 2020

Safflower (Carthamus tinctoriusL.) is of potential interest to agriculture due to mainly variability of fatty acid composition of seeds oil. The purpose of this study was to evaluate various exotic genotypes of safflower for agronomic traits, components of seed yield and fatty acid content. For this purpose, plant height (cm), number of first, second and third branches/plant, seed yield/plant (g), thousand-seed weight (g), oil content (%), and composition of fatty acid were investigated. Stepwise multiple regression analysis was used to develop fitted equation to predicate seed yield/plant. Analysis of variance of agronomic traits showed high differences among genotypes. Although the safflower oil genotype K2 had the highest oil seed content (42.8%), K13 obtained the highest percentage of monounsaturated fatty acids (MUFA). Highest oleic type of safflower oil has been found in K13 and K26, which can be used as a source oil quality for plant breeding. Heritability as broad sense was high and ranged from 82% in number of secondary branches (NSB) and number of third branches (NTHB) to 99% in seed index (1000 seeds weight) and oil content. High genetic advance was found in plant height (PH), seed yield/plant (SYP) and 1000-seed weight, estimated at 43.41 cm, 21.34 g and 17.62 g, respectively. Stepwise multiple regression analysis indicated that, 99.2% of the total variation in seed yield/plant could be explained by variation in yield of secondary (YSB) branches, yield of first branches (YFB), yield of third branches (YTHB), plant height (PH) and spiny as dummy variable. 23.56% of the total variation in seed oil percent could be explained by variation in yield of first branches (YFB), seed index and spiny as dummy variable. The information detected here may be a useful tool for the selection of parents in safflower breeding program.
Präzisionspsychiatrie und der Beitrag von Brain Imaging und anderen Biomarkern
Authors: Popovic David , Schiltz Kolja , Falkai Peter , Koutsouleris Nikolaos
Published: December 2020

Die Präzisionspsychiatrie stellt die psychiatrische Variante des übergeordneten Konzepts der Präzisionsmedizin dar. Hierbei soll eine auf Biomarkern basierte und auf die individuelle klinische, neurobiologische und genetische Konstitution des Patienten zugeschnittene Diagnostik und Behandlung angeboten werden. Die spezifische Eigenheit des Fachs Psychiatrie, in der die Krankheitsentitäten normativ anhand klinischer Erfahrungswerte definiert und damit auch maßgeblich durch zeitgeschichtliche, gesellschaftliche und philosophische Einflüsse geprägt sind, hat bisher die Suche nach psychobiologischen Zusammenhängen erschwert. Dennoch gibt es mittlerweile in allen Bereichen der psychiatrischen Forschung erhebliche Fortschritte, die vor allem durch die kritische Überprüfung und Erneuerung bisheriger Krankheits- und Psychopathologie-Konzepte, die vermehrte Ausrichtung hin zur Neurobiologie und Genetik und insbesondere die Verwendung maschineller Lernverfahren ermöglicht wurden. Vor allem letztere Analysemethoden erlauben es, hochdimensionale und multimodale Datensätze zu integrieren und Modelle zu entwickeln, die einerseits neue psychobiologische Erkenntnisse liefern und andererseits eine real anwendbare Prädiktion von Diagnose, Therapieansprechen und Prognose auf Einzelfallniveau zunehmend realistisch erscheinen lassen. Ziel der hier vorliegenden Übersichtsarbeit soll daher sein, dem interessierten Leser das Konzept der Präzisionspsychiatrie näherzubringen, die hierfür verwendeten maschinellen Lernverfahren darzustellen und sowohl den gegenwärtigen Entwicklungsstand als auch zukunftsnahe Entwicklungen in diesem neuen Feld übersichtlich darzustellen.
Synthesis of the Common Monomeric Unit of Uroleuconaphins and Viridaphins via Hauser–Kraus Annulation
Authors: Kitamura Kei , Kaku Hiroto , Kanagawa Hinano , Ozakai Chiharu , Nishimura Taichi , Tokuda Hayato , Tsunoda Tetsuto
Published: December 2020

A stereoselective synthesis of a pyranonaphthoquinone derivative found in aromatic polyketide-derived aphid pigments is reported herein. This approach features the anionic [4+2]-annulation of phthalides with a carbohydrate-derived optically active enone. Additional synthetic steps provide access to the monomer fragment of uroleuconaphins and viridaphins. The optimization for a facile preparation of phthalides bearing sulfonyl or cyano groups are also studied.
Modeling of the Aorta: Complexities and Inadequacies
Authors: Rajagopal Kumbakonam R. , Rajagopal Keshava
Published: December 2020

The aorta is a very complex organ comprising three layers, consisting of four kinds of tissues. It is an anisotropic, inhomogeneous, multiconstituent, and living organ that presents both a formidable challenge and a tremendous opportunity to a modeler to mathematically characterize its structure. Unfortunately, even the most sophisticated models in vogue do not faithfully take into consideration its various complexities, falling very short of putting into place a reasonable model, as they ignore many of the quintessential features that need to be taken into account. In this article, we address the various features that need to be taken into account to develop a meaningful model of the aorta.