bluuebunny/crossref_metadata_2025 huggingface dataset:
Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration
Authors: Zysset-Burri Denise C. , Keller Irene , Berger Lieselotte E. , Largiadèr Carlo R. , Wittwer Matthias , Wolf Sebastian , Zinkernagel Martin S.
Published: September 2020

Age-related macular degeneration (AMD) is a leading cause of severe vision loss in the aged population. The etiology of AMD is multifactorial including nutritional factors, genetic variants mainly in the complement pathway, environmental risk factors and alterations in the intestinal microbiome. However, it remains unexplored whether there is an interdependency of these factors leading to the development of AMD. To investigate this issue, a shotgun metagenomics analysis of 57 neovascular AMD and 58 healthy controls as well as of 16 complement C3-deficient mice and 16 wildtypes was performed. Whereas the class Negativicutes was more abundant in patients, the genus Oscillibacter and species Bacteroides had a significantly higher prevalence in persons without AMD. Similar taxonomic features were identified that distinguished wildtype mice from C3-deficient mice. Moreover, several purine signaling pathways were associated with both, neovascular AMD and C3 deficiency. While SNPs within the complement factor B gene were more abundant in controls, SNPs within the high temperature requirement A serine peptidase 1 and complement factor H (CFH) genes were associated with neovascular AMD. Using a classification model, Negativicutes was identified as a potential biomarker for AMD and furthermore, it positively correlated with CFH. This study suggests an association between the intestinal microbiome and the complement system in neovascular AMD.
Disposable diaper overuse is associated with primary enuresis in children
Authors: Li Xing , Wen Jian Guo , Shen Tong , Yang Xiao Qing , Peng Song Xu , Wang Xi Zheng , Xie Hui , Wu Xing Dong , Du Yu Kai
Published: September 2020

This research investigated the association between prolonged disposable diaper (DD) wearing in infancy and primary enuresis (PNE). As a case–control study, we collected data from 376 children with enuresis and 379 healthy children who were sex- and age-matched at three tertiary care institutions in mainland China from August 2017 to July 2018. The results of adjusted logistic regression showed the odds ratios (95% confidence intervals) for PNE across the categories of age of daytime DD use cessation were as follows: ≥ 25 months: 1.00, 18–24 months: 0.25 (0.17–0.37), and ≤ 17 months: 0.11 (0.06–0.20), independent of age, mother education, residence, toilet training approach, breastfeeding duration, UTI, constipation, anaphylactic disease and family history. After a similar multivariable adjustment, increased age of daytime DD use (per-month) had a positive correlation with PNE, OR = 1.17, 95% CI 1.13–1.20 and non-linear relationship was detected, whose point was 21 months (the effect sizes and the 95%CI on the left and right sides of inflection point were 1.04 (0.99–1.10), P = 0.131 and 1.25 (1.18–1.31), P < 0.001). Subgroup analysis found that the effect of duration of disposable diaper exposure for each additional month, those children had accepted assisted infant toilet training/elimination communication (AITT/EC) practice had a lower risk of PNE (OR = 1.08, 95% CI 1.04–1.12), compared with those without AITT/EC practice (OR = 1.20, 95% CI 1.14–1.27), P for interaction < 0.001. In conclusion, the children diagnosed with primary enuresis after age 5 stopped using disposable diapers at daytime later than the control group. Association between duration of DD exposure and the risk of childhood enuresis is modified by AITT/EC practice. Timely cessation use of disposable diaper and practice AITT/EC may shorten the time to nocturnal continence, and the prospective cohort studies are needed to verify the discoveries.
CD163+ macrophages are associated with a vulnerable plaque phenotype in human carotid plaques
Authors: Bengtsson Eva , Hultman Karin , Edsfeldt Andreas , Persson Ana , Nitulescu Mihaela , Nilsson Jan , Gonçalves Isabel , Björkbacka Harry
Published: September 2020

Macrophages are a functionally heterogeneous group of immune cells abundant in atherosclerotic plaques. Macrophages expressing CD163 are associated with intraplaque hemorrhage and have previously been considered atheroprotective. However, in a recent study CD163-deficient atherosclerotic ApoE−/− mice exhibited smaller and less complex plaques, suggesting a proatherogenic role of CD163. Previous smaller studies on CD163+ macrophages and plaque stability in humans have yielded diverging results. Here we assessed the association of CD163+ cells to plaque vulnerability in a large cohort of human carotid plaques. CD163 protein expression was analyzed by immunohistochemistry in 200 human carotid plaques removed by endarterectomy from 103 patients with and 93 patients without cerebrovascular symptoms. Furthermore, CD163 mRNA expression was analyzed in 66 of the plaques. Both protein and mRNA expression of CD163 was higher in plaques from symptomatic patients and in plaques with high vulnerability index. CD163+ macrophages were primarily found in shoulder regions and in the center of the plaques. The present data show that CD163 is associated with increased plaque vulnerability in human carotid plaques, supporting the notion that CD163+ macrophages could contribute to clinical events.
Critical roles of the ddx5 gene in zebrafish sex differentiation and oocyte maturation
Authors: Sone Ryota , Taimatsu Kiyohito , Ohga Rie , Nishimura Toshiya , Tanaka Minoru , Kawahara Atsuo
Published: September 2020

DEAD-box helicase 5 (Ddx5) functions as an ATP-dependent RNA helicase and as a transcriptional coactivator for several transcription factors; however, the developmental function of the ddx5 gene in vertebrates is not fully understood. We found that the zebrafish ddx5 gene was expressed in developing gonads. Using the genome editing technology transcription activator-like effector nuclease, we established a ddx5-disrupted zebrafish and examined the morphological phenotypes of the mutant. We found that the majority of ddx5-deficient mutants developed as fertile males with normal testes and a small number of ddx5-deficient mutants developed as infertile females with small ovaries. Apoptotic cell death at 31 days post fertilization was increased in thick immature gonads (presumptive developing ovaries) of the ddx5-deficient mutant compared to those of heterozygous wild-type fish, while the number of apoptotic cells in thin immature gonads (presumptive developing testes) was comparable between the mutant and wild-type animals. Histological analysis revealed that ovaries of adult ddx5-deficient females had fewer vitellogenic oocytes and a larger number of stage I and II oocytes. The amount of cyclic adenosine monophosphate in the ddx5-deficient ovaries was high compared to that of wild-type ovaries, presumably leading to the mitotic arrest of oocyte maturation. Therefore, the ddx5 gene is dispensable for testis development, but it is essential for female sex differentiation and oocyte maturation in zebrafish.
Photosynthetic base of reduced grain yield by shading stress during the early reproductive stage of two wheat cultivars
Authors: Yang Hong , Dong Baodi , Wang Yakai , Qiao Yunzhou , Shi Changhai , Jin Lele , Liu Mengyu
Published: September 2020

The young microspore (YM) stage is the most sensitive period for wheat grain formation to abiotic stress. Shading stress during YM stage reduces grain yield mainly due to grain number decrease. However, the photosynthetic base for grain number decrease is still unclear. In this study, 100% (control), 40% (S1), and 10% (S2) of natural light were applied for 1, 3, 5, and 7 days (D1, D3, D5 and D7) during YM stage of two wheat cultivars (Henong825, Kenong9204). The results showed that grain number in Henong825 and Kenong9204 was reduced by − 3.6 to 33.3% and 14.2–72.7%, respectively. The leaf photosynthetic rate (Pn) in Henong825 and Kenong9204 was deducted by 4.5–93.9% and 26.4–99.0%. Under S1–D1, the leaf Pn of Henong825 reducing was mainly due to the reduction of light intensity. With shading intensity and duration increasing, the reasons for leaf Pn decrease were the low light intensity, the low Gs (stomatal conductance) and chlorophyll content, the damage of ultrastructure of chloroplast and photosynthetic system. Under S2–D7, the chlorophyll content, Fv/Fm (maximal photochemical efficiency of photosystem II) and Jmax (maximum electron transport) were reduced by 19.6%, 5.2% and 28.8% in Henong825, and by 29.9%, 7.8% and 33.1% in Kenong9204. After shading removal, the leaf Pn of Kenong9204 under D5 and D7 could not reach to the level of CK. This study indicated that the reduction of leaf Pn was mainly due to the low light intensity under short shading duration (shorter than 3 days), and due to low light intensity and damage of the leaf photosynthetic system under longer shading duration (longer than 5 days), especially for Kenong9204 (shade-sensitive cultivar).
Environmental dust repelling from hydrophobic and hydrophilic surfaces under vibrational excitation
Authors: Abubakar Abba Abdulhamid , Yilbas Bekir Sami , Al-Qahtani Hussain , Alzaydi Ammar , Alhelou Sharif
Published: September 2020

Mitigation of environmental dust from surfaces becomes one of the challenges for maintaining the optical characteristics of surfaces. Dust repelling from hydrophobic and hydrophilic surfaces under vibrational excitation is investigated and the percentage of dust repelled from surfaces is evaluated. The characteristics of the dust particles are examined and dust adhesion on surfaces under molecular forces (van der Walls) is explored. High speed recording system is utilized to monitor dust repelling from the surfaces. The dust residues, which are not repelled from the sample surfaces, are analyzed and the percentage of area coverage of the dust repelled from the surfaces is assessed. The repelling height of the dust is predicted analytically, and the findings are compared with the experimental data. Findings revealed that the analytical predictions of dust repelling height are in good agreement with the experimental data. Due to none-stoichiometric elemental compositions in the dust compounds, ionic forces are created while forming the cluster-like structures because of particle adhesion. The vibrational excitation repels dust from sample surfaces in the form of cluster-like structures. Dust repelled from hydrophobic surface results in a larger clean area on the hydrophobic surface (80% of total surface area) than that of the hydrophilic surface (20% of total surface area).
Testicular blood supply is altered in the 41,XXY* Klinefelter syndrome mouse model
Authors: Wistuba Joachim , Beumer Cristin , Warmeling Ann-Sophie , Sandhowe-Klaverkamp Reinhild , Stypmann Jörg , Kuhlmann Michael , Holtmeier Richard , Damm Oliver S. , Tüttelmann Frank , Gromoll Jörg
Published: September 2020

Hypergonadotropic hypogonadism is a major feature of Klinefelter syndrome (KS), assumed to be caused by testicular hormone resistance. It was previously shown that intratesticular testosterone levels in vivo and Leydig cell function in vitro seem to be normal indicating other functional constraints. We hypothesized that impaired testicular vascularization/blood flow could be a co-factor to the observed hypergonadotropic hypogonadism. We evaluated the testicular vascular system by measuring blood vessel sizes during postnatal development and testis blood flow in adult 41,XXY* mice. Proportional distribution and size of blood vessels were analyzed during testicular development (1, 3, 5, 7, 10, 21 dpp, 15 wpp). While ratios of the vessel/testis area were different at 15 wpp only, a lower number of smaller and mid-sized blood vessels were detected in adult KS mice. For testicular blood flow determination we applied contrast enhanced ultrasound. Floating and reperfusion time for testicular blood flow was increased in 41,XXY* mice (floating: XY* 28.8 ± 1.69 s vs XXY* 44.6 ± 5.6 s, p = 0.0192; reperfusion XY* 19.7 ± 2.8 s vs XXY*: 29.9 ± 6.2 s, p = 0.0134), indicating a diminished blood supply. Our data strengthen the concept that an impaired vascularization either in conjunction or as a result of altered KS testicular architecture contributes to hormone resistance.
Fluidity of gender identity induced by illusory body-sex change
Authors: Tacikowski Pawel , Fust Jens , Ehrsson H. Henrik
Published: September 2020

Gender identity is a collection of thoughts and feelings about one’s own gender, which may or may not correspond to the sex assigned at birth. How this sense is linked to the perception of one’s own masculine or feminine body remains unclear. Here, in a series of three behavioral experiments conducted on a large group of control volunteers (N = 140), we show that a perceptual illusion of having the opposite-sex body is associated with a shift toward a more balanced identification with both genders and less gender-stereotypical beliefs about own personality characteristics, as indicated by subjective reports and implicit behavioral measures. These findings demonstrate that the ongoing perception of one’s own body affects the sense of one’s own gender in a dynamic, robust, and automatic manner.
Determination of NUDT15 variants by targeted sequencing can identify compound heterozygosity in pediatric acute lymphoblastic leukemia patients
Authors: Yu Chih-Hsiang , Chang Ya-Hsuan , Wang Der-Shiun , Jou Shiann-Tarng , Lin Chien-Yu , Lin Kai-Hsin , Lu Meng-Yao , Raghav Lovely , Chang Hsiu-Hao , Wu Kang-Hsi , Chou Shu-Wei , Ni Yu-Ling , Lin Dong-Tsamn , Lin Shu-Wha , Chen Hsuan-Yu , Yang Yung-Li
Published: September 2020

Mercaptopurine intolerance is an adverse effect of mercaptopurine administration in pediatric acute lymphoblastic leukemia. Recently, NUDT15 variants were identified as a major determinant of mercaptopurine intolerance. Two NUDT15 variants, c.36_37insGGAGTC and c.415C > T, are located on exons 1 and 3, respectively. Patients with heterozygous c.36_37insGGAGTC and c.415C > T can be either compound heterozygous with two variants on different alleles or heterozygous with both variants on the same allele. Because patients with biallelic NUDT15 variants are extremely sensitive to mercaptopurine, clinical identification of NUDT15 diplotype would be advantageous. A cohort of 37 patients with c.36_37insGGAGTC and c.415C > T NUDT15 variants were selected for haplotyping by targeted sequencing. NUDT15 complementary DNA was amplified and sequenced by 300-bp paired-end sequencing on Illumina MiSeq. Of the 37 patients carrying NUDT15 variants, 35 had heterozygous NUDT15*1/*2 variants and two had compound heterozygous NUDT15*3/*6 and NUDT15*2/*7 variants. These two patients with compound heterozygous variants could only tolerate low doses of mercaptopurine, similar to patients with homozygous NUDT15 variants. Targeted sequencing of NUDT15 cDNA can be used to determine NUDT15 diplotype and identify patients with compound heterozygous NUDT15 variants.
Efficacy of Fe3O4@polydopamine nanoparticle-labeled human umbilical cord Wharton's jelly-derived mesenchymal stem cells in the treatment of streptozotocin-induced diabetes in rats
Authors: Li Xiuying , Wei Zhenhong , Wu Liya , Lv Huiying , Zhang Yucheng , Li Jing , Yao Hua , Zhang Hao , Yang Bai , Xu Xiaohua , Jiang Jinlan
Published: September 2020

NP-labeled MSCs can be directed to the target site by external magnetic fields in rats with streptozotocin (STZ)-induced diabetes. Magnetic targeting of WJ-MSCs contributed to long-term cell retention in pancreatic tissue and improved the islet function of diabetic rats.
B-Site modification of LaMn0.9Co0.1O3 perovskite using a selective dissolution method in C3H6 oxidation
Authors: Liu Zhan , Li Zhengguo , Chu Xuefeng , Shao Yuankai , Li Kaixiang , Chen Xiaoping , Liu Haiyan , Chen Jianjun , Li Junhua
Published: September 2020

LaMnCoO3 is treated with HNO3 to generate a Co-doped MnO2 phase, which shows better catalytic performance than LaMnO3 and pure MnO2 catalysts for C3H6 oxidation.
[4 + 2]-Cycloadditions of a thiazol-based tricyclic 1,4-diphosphinine and a new easy 1,4-diphosphinine protection deprotection strategy
Authors: Begum Imtiaz , Kalisch Tim , Schnakenburg Gregor , Kelemen Zsolt , Nyulászi László , Streubel Rainer
Published: September 2020

Diels–Alder-reactions of a thiazol-2-thione-based, tricyclic 1,4-diphosphinine were investigated, showing that the central aromatic π-system can react with various dienophiles. In one case, photochemical deprotection of the 1,4-diphosphinine was found.
The inflammatory environment mediated by a high-fat diet inhibited the development of mammary glands and destroyed the tight junction in pregnant mice.
Authors: Guo Wenjin , Liu Juxiong , Hou Shuang , Hu Guiqiu , Ma He , Gong Qian , Kan Xingchi , Ran Xin , Cao Yu , Wang Jianfa , Fu Shoupeng
Published: September 2020

Long-term intake of a high-fat diet seriously affects the health of pregnant women and leads to increased levels of inflammation in the mammary gland.
Mesoscale origin of dielectric relaxation with superior electrostrictive strain in bismuth ferrite-based ceramics
Authors: Zheng Ting , Wu Jiagang
Published: September 2020

A strategy to optimize electrostrictive strain in BFO-based relaxor ferroelectrics was proposed. By operating the domain configuration via ion engineering the B-site order/disorder and random fields, two kinds of polar nano-structures can be formed.
Precisely modulating the surface sites on atomically monodispersed gold-based nanoclusters for controlling their catalytic performances
Authors: Sun Yongnan , Cheng Xinglian , Zhang Yuying , Tang Ancheng , Cai Xiao , Liu Xu , Zhu Yan
Published: September 2020

The catalytic properties of atomically precise gold-based nanoclusters can be tailored by precisely modulating the surface sites on the nanoclusters.
Ammonia borane as a reducing agent in organic synthesis
Authors: Faverio Chiara , Boselli Monica Fiorenza , Medici Fabrizio , Benaglia Maurizio
Published: September 2020

Ammonia borane is gaining increasing attention as a sustainable and atom-economical winning reagent for the reduction of several substrates.
Modular quadruplex–duplex hybrids as biomolecular scaffolds for asymmetric Michael addition reactions
Authors: Yum Ji Hye , Sugiyama Hiroshi , Park Soyoung
Published: September 2020

We report modular QD hybrid DNA catalysts containing bipyridine ligands and hydrogen donor moieties for the asymmetric Michael addition reactions.
Potassium tert-butoxide mediated C–C, C–N, C–O and C–S bond forming reactions
Authors: Madasu Jayashree , Shinde Shital , Das Rudradip , Patel Sagarkumar , Shard Amit
Published: September 2020

Potassium tertiary butoxide (KOtBu) mediated constructions of C–C, C–O, C–N, and C–S bonds are reviewed with special emphasis on their synthetic applications.
Development and utilization of peptide-based quorum sensing modulators in Gram-positive bacteria
Authors: McBrayer Dominic N. , Cameron Crissey D. , Tal-Gan Yftah
Published: September 2020

This review discusses the development of peptide-based quorum sensing modulators and their use as potential therapeutics.
Construction from destruction using a photo-triggered self-propagating degradable polyurethane as a one-pot epoxy
Authors: Xu Yanhua , Morado Ephraim G. , Zimmerman Steven C.
Published: September 2020

We report a photo-triggered, base generating, base propagating degradable polyurethane that is triggered by 365 nm UV light irradiation.
3D Printing of a self-healing, high strength, and reprocessable thermoset
Authors: Yuan Tianyu , Zhang Lisha , Li Tony , Tu Ruowen , Sodano Henry A.
Published: September 2020

A furan-maleimide based 3D printing ink for the fabrication of a self-healing and high strength thermoset with recycling potential.
Analysis of aroma components from sugarcane to non-centrifugal cane sugar using GC-O-MS
Authors: Chen Erbao , Song Huanlu , Li Yi , Chen Haijun , Wang Bao , Che Xianing , Zhang Yu , Zhao Shuna
Published: September 2020

84 volatile aroma components were determined in 9 samples of sugarcane to non-centrifugal sugar (NCS), including 15 alcohols, 12 aldehydes, 10 ketones, 17 carboxylic acids, 11 pyrazines, 7 phenols, 3 esters, 3 hydrocarbons, and 2 sulfur compounds.
Orbital energy mismatch engenders high-spin ground states in heterobimetallic complexes
Authors: Coste Scott C. , Pearson Tyler J. , Altman Alison B. , Klein Ryan A. , Finney Brian A. , Hu Michael Y. , Alp E. Ercan , Vlaisavljevich Bess , Freedman Danna E.
Published: September 2020

We report a series of high spin bimetallic transition metal–tin complexes. The unusual high spin configuration in a bimetallic complex is enabled by an energetic mismatch in the orbital energies, leading to lanthanide-like nonbonding interactions.
Using serpins cysteine protease cross-specificity to possibly trap SARS-CoV-2 Mpro with reactive center loop chimera
Authors: Jairajpuri Mohamad Aman , Ansari Shoyab
Published: September 2020

Human serine protease inhibitors (serpins) are the main inhibitors of serine proteases, but some of them also have the capability to effectively inhibit cysteine proteases. Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) main protease (Mpro) is a chymotrypsin-type cysteine protease that is needed to produce functional proteins essential for virus replication and transcription. Serpin traps its target proteases by presenting a reactive center loop (RCL) as protease-specific cleavage site, resulting in protease inactivation. Mpro target sites with its active site serine and other flanking residues can possibly interact with serpins. Alternatively, RCL cleavage site of serpins with known evidence of inhibition of cysteine proteases can be replaced by Mpro target site to make chimeric proteins. Purified chimeric serpin can possibly inhibit Mpro that can be assessed indirectly by observing the decrease in ability of Mpro to cleave its chromogenic substrate. Chimeric serpins with best interaction and active site binding and with ability to form 1:1 serpin–Mpro complex in human plasma can be assessed by using SDS/PAGE and Western blot analysis with serpin antibody. Trapping SARS-CoV-2 Mpro cysteine protease using cross-class serpin cysteine protease inhibition activity is a novel idea with significant therapeutic potential.
Stratification of canopy magnetic fields in a plage region
Authors: Morosin Roberta , de la Cruz Rodríguez Jaime , Vissers Gregal J. M. , Yadav Rahul
Published: September 2020

Context. The role of magnetic fields in the chromospheric heating problem remains greatly unconstrained. Most theoretical predictions from numerical models rely on a magnetic configuration, field strength, and connectivity; the details of which have not been well established with observational studies for many chromospheric scenarios. High-resolution studies of chromospheric magnetic fields in plage are very scarce or non existent in general.

Aims. Our aim is to study the stratification of the magnetic field vector in plage regions. Previous studies predict the presence of a magnetic canopy in the chromosphere that has not yet been studied with full-Stokes observations. We use high-spatial resolution full-Stokes observations acquired with the CRisp Imaging Spectro-Polarimeter (CRISP) at the Swedish 1-m Solar Telescope in the Mg I 5173 Å, Na I 5896 Å and Ca II 8542 Å lines.

Methods. We have developed a spatially-regularized weak-field approximation (WFA) method, based on the idea of spatial regularization. This method allows for a fast computation of magnetic field maps for an extended field of view. The fidelity of this new technique has been assessed using a snapshot from a realistic 3D magnetohydrodynamics simulation.

Results. We have derived the depth-stratification of the line-of-sight component of the magnetic field from the photosphere to the chromosphere in a plage region. The magnetic fields are concentrated in the intergranular lanes in the photosphere and expand horizontally toward the chromosphere, filling all the space and forming a canopy. Our results suggest that the lower boundary of this canopy must be located around 400 − 600 km from the photosphere. The mean canopy total magnetic field strength in the lower chromosphere (z ≈ 760 km) is 658 G. At z = 1160 km, we estimate ⟨B∥⟩ ≈ 417 G.

Conclusions. In this study we propose a modification to the WFA that improves its applicability to data with a worse signal-to-noise ratio. We have used this technique to study the magnetic properties of the hot chromospheric canopy that is observed in plage regions. The methods described in this paper provide a quick and reliable way of studying multi layer magnetic field observations without the many difficulties inherent to other inversion methods.
A Case Study on Rent Pricing of Financial Leasing of Photovoltaic Enterprises Taking Henan Yicheng New Energy Co., Ltd. as an example
Authors: Yang Changhui , Liu Jingjing
Published: September 2020

Photovoltaic power generation industry, as a strategic emerging industry with heavy assets in China at present, the contradiction between the gradual reduction of policy subsidies and the rapid expansion of installed capacity of the industry is becoming more and more acute. Under the background of tightening bank intervention policy and insufficient matching of funds, China’s photovoltaic industry is generally faced with financing difficulties, and its development is slow and urgent. At present, financial leasing has become the second largest financing option for distributed photovoltaic manufacturers except bank loans. The purpose of this paper is to study how to revitalize the existing capital and optimize the capital structure by means of financing sale and leaseback, and try to discuss the rental pricing scheme by measuring the financial leasing cost of photovoltaic power plans.
Synthetic evaluation of integrated energy system based on AHP- fuzzy comprehensive assessment method
Authors: Lu Xiao , Wu Jiajia , Hu Wei , Chi Changyun , Jiang Xuedong , Li Xiaobo
Published: September 2020

Integrated energy system (IES) is an essential ingredient of energy reform. The construction of IES can promote the coupling utilization of multiple energy sources, and improve the reliability and flexibility of energy system. Based on amounts of literature study and experts’ recommendations, 9 first- class indexes, 13 second-class indexes and 11 third-class indexes are confirmed to assess the integrated energy system from three dimensions of technology, economy, and environmental protection. Analytic Hierarchy Process (AHP) and fuzzy comprehensive assessment method are adopted to assess the overall quality of chosen integrated energy system. An industrial park is chosen to be an example and examine the evaluation condition of IES.
Improved Artificial Bee Colony Algorithm Applied to Neural Network Photovoltaic Power Generation Prediction Method
Authors: Zhu Jiaxiong , Qiang Jiang , Feng Chang , Jing Cao
Published: September 2020

With the increase in the use of renewable energy, especially the development and utilization of solar energy resources, accurate photovoltaic power generation prediction technology will help the promotion of photovoltaic power generation. The amount of photovoltaic power generation depends on weather conditions, and it is easy to produce large fluctuations under different weather conditions. Its power generation has the characteristics of randomness, fluctuation and intermittency. In view of the shortcomings of the traditional BP neural network prediction method, this paper proposes an improved artificial bee colony algorithm. The improved artificial bee colony algorithm is used to optimize the network parameter weights in the traditional BP algorithm, and the two algorithms are merged in global iteration. Based on the characteristics of training light intensity, weather, temperature and historical power value of photovoltaic output power,a photovoltaic power generation prediction model is established. The simulation results show that the improved artificial bee colony algorithm in the neural network’s photovoltaic power generation forecast improves the accuracy and convergence speed of the traditional BP neural network convergence solution, and can provide more comprehensive information for grid power dispatch and control.
A measurement system for very fast transients in GIS power substations
Authors: Wu Yan , Wu Hengtian , Gu Lingyun , Jiao Chongqing
Published: September 2020

In order to acquire the very fast transients during the disconnector operations in GIS (gas insulated switchgear, GIS) of power substation, a novel measurement system is developed and tested. By using the high speed digitizer as an alternative of the oscilloscope with other auxiliary device, the system is an effective approach to acquire the characteristics of the disturbance voltage of VFTs, including the frequency domain and the time domain features. Several kinds of experiments are carried out in the lab and GIS substation. The results show the good performance of this measurement system.
Electricity Safety Analysis and Improvement Based on User Classification
Authors: Zhu Hongxia , Wang Qing , Li Congcong , Du Yan , Yu Chao
Published: September 2020

Analyzing electricity consumption behavior by classifying user groups and knowing each group’s characteristics are an important way to realize intelligent power consumption. This paper firstly classifies different types of users based on power consumption data and grasps the power consumption behavior of typical users. The main causes of accidents and alarms are then discussed based on the recorded events and power consumption curve. Finally, the corresponding solutions, which take the user’s social attributes and electricity consumption behavior into consideration are put forward to avoid the potential accidents.
A short term load forecasting of integrated energy system based on CNN-LSTM
Authors: Qi Xianjun , Zheng Xiwei , Chen Qinghui
Published: September 2020

The accurate forecast of integrated energy loads, which has important practical significance, is the premise of the design, operation, scheduling and management of integrated energy systems. In order to make full use of the coupling characteristics of electricity, cooling and heating loads which is difficult to deal with by traditional methods, this paper proposes a new forecast model of integrated energy system loads based on the combination of convolutional neural network (CNN) and long short term memory (LSTM). Firstly, the Pearson correlation coefficients among the electricity, cooling and heating load series of the integrated energy system are calculated, and the results show that there is a strong coupling relationship between the loads of an integrated energy system. Then, the CNN-LSTM composite model is constructed, and CNN is used to extract the characteristic quantity which reflects the load coupling characteristics of the integrated energy system. Then, the characteristic quantity is converted into the time series input to LSTM, and the excellent time series processing ability of LSTM is used for load forecasting. The results show that the CNN-LSTM composite model proposed in this paper has higher prediction accuracy than the wavelet neural network model, CNN model and LSTM model.
The Application of Artificial Intelligence Technology in Smart Energy
Authors: Jiang Xiaotao , Zhao Ming Xin , Liu Wei , Xu Ruo Bing
Published: September 2020

At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode.
A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
Authors: Yu Yue , Ge Qingyu , Jiao Chongqing
Published: September 2020

A hybrid genetic algorithm and vector fitting based approach is proposed for the approximation of the propagation function of transmission lines. In this work, the process of guessing the number of poles and then adjusting corresponding delay times in the conventional method is improved by the genetic algorithm. The proposed approach can result in a better approximation of propagation function, which is proven by a successful implementation to an overhead single core coaxial cable.
Research on topology identification technology of distribution station area based on distribution Transformer supervisory Terminal Unit
Authors: Zhang Min , Fu Qiang , Xu Yu , Wei Du Hong
Published: September 2020

This paper proposes a topology identification idea based on the physical equipment and information fusion of the distribution network, which fully combines existing distribution automation master stations, intelligent distribution transformer terminals, smart meter equipment and information data resources, and uses carrier communication technology to reflect the topological relationship of the distribution station area, carry out research on key technologies of distribution network topology identification, in order to realize the comprehensive integration identification of the distribution station-linetransformer-household relationship and the distribution network topology structure, and improve data penetration between different systems ability to provide basic support for intelligent and lean operation and maintenance of the distribution network.
Research on battery peak power control method based on Improved PSO algorithm
Authors: Song Jialong , Xie Peng
Published: September 2020

In order to better guarantee the operation effect of power equipment, a battery discharge peak power control method based on Improved PSO algorithm is proposed. The operation parameters between the peak power of battery discharge and external power supply are collected, and the operation parameters are switched by using the support bus. The power acquisition process of battery operation is standardized, and the power of battery power conversion unit is controlled by improving PSO algorithm. The results show that the control error of the battery peak power control method based on the improved PSO algorithm is significantly lower in the actual process, and the control accuracy is improved.
Fault ride-through control strategy of H-bridge cascaded energy storage system
Authors: Yin Shi , Li Guanjun , Wu Fubao , Yang Bo , Li Haoyuan
Published: September 2020

The cascaded energy storage system has received extensive attention in areas such as new energy consumption, maintaining stable operation of the power grid, and supporting black start due to its advantages such as high access voltage level, large single unit capacity, and fast dynamic response rate. This paper aimed to improve the fault ride-through capability of the cascaded energy storage system, and proposed a fault ride-through control method. Firstly, the mathematical model of the cascaded energy storage system was established, and then the rapid detection method of the abnormal state of the power grid and the fault ride-through method were analyzed, and finally the simulation analysis was performed. The feasibility and correctness of the control method can be seen from the experiments.
A Convolutional Neural Network for Regional Photovoltaic Generation Point Forecast
Authors: Zhang Xuekai , Yang Yanyong , Wang Huaying , Zhao Feitao , Yan Fangqing , Wang Mengxia
Published: September 2020

As the rapid growth of photovoltaic (PV) generation capacity, the form of regional PV power integrated by multiple PV plants is becoming more and more common. The changing law of regional PV power is of great significance to control the operation of the power system. This paper presents a novel regional PV power point forecast method that uses the convolutional neural network (CNN) model. In the method, the structure of CNN is applied to extract the nonlinear features between the input data and regional PV power. The forecast of regional PV power in a real power grid is carried out to illustrate the validity of the proposed method. Verification results show that the CNN model can provide more accurate point forecast for regional PV power results than the traditional regional PV power forecast methods.
Path Analysis of the Impact of “Green Finance” on Clean Energy in Yunnan Province
Authors: Lei Pang , Song Ming Zhe
Published: September 2020

During the Two Sessions of 2018, Ruan Chengfa, the governor of Yunnan Province, proposed for the first time in the “Government Work Report” that the future development of Yunnan Province should rely on carrying out the “three green cards” strategic plan, in which the development of clean energy has obvious advantages in Yunnan Province. This paper aims to present the challenges and opportunities encountered in the development of major clean energy projects in our province, and to analyze the main impact of various forms of green capital injection on the clean energy sector by statistical analysis with reference to the index data in the “Statistical Yearbook of Yunnan Province” from the different investment perspectives of policy finance and commercial finance under “Green Finance”. In view of the current situation of clean energy development in our province, this paper puts forward relevant recommendations to provide a reference for government sectors, financial sectors, enterprises and other relevant subjects in Yunnan Province at the initial stage of formulating policy routes, so as to make timely adjustments to the problems in the development process to promote the development of “Green Finance” and “three green cards” strategic plan in Yunnan Province.
The study of EEG Recognition of Depression on Bi-LSTM based on ERP P300
Authors: Zhang Yuping , Fu Zhigang
Published: September 2020

Depression is a kind of relatively common psychological disease of among people. The extract of EEG feature is to utilize the course of development of better aided diagnosis with depression patients, so as to put forward the accurate treatment options. The traditional machine study is to directly input EEG into Neural Networks and not to consider the influence of time series for data accuracy and Bi-LSTM is not only to inherit the treatment of LSTM to timely constraint, but also combine the influence of two-way factors on neutral network, which has good computing advantage. This essay adopts a kind of the study of EEG recognition of depression on Bi-LSTM based on ERP. Compared with other model, the accuracy rate identification and classification under 16 reaches 80.6% with good credit after the improvement of the Bi- LSTM.
Assessment of Qinling Forest Park’s Ecological Security Based on PSR Model - A case study of forest parks in Baoji section of the Qinling Mountains
Authors: Ying Zuo , Yan Cui
Published: September 2020

“Green growth” is a generalized trend of growth poles in the new era. Ecological security is essential to the forest park tourism. The assessment research on ecological security is significant for the development of forest park tourism. From the perspective of ecological security, this thesis selects seven forest parks in Baoji section of the Qinling Mountains as the research object, and builds the assessment indicator system of forest park ecological security according to experts’ comments. In this thesis, the PSR model is adopted to search indicators that slightly affect the security indexes of forest park; as a result,outstanding problems are found in the forest park according to current conditions, such as weak protection of forest landscaping and environment, large density of forest buildings, low comprehensive management capacity and poor guidance of forest ecological tour. The thesis has also probed the ecological security protection and development path of forest park in the Qinling region from the perspective of tourism carrying capacity control, landscaping design and building control, park ecological management system, and tourist civilized tourism according to the common security risks in forests, hoping to provide reference for the ecological security protection of other forest parks in Qinling region.
Chaotic System Prediction Using Data Assimilation and Machine Learning
Authors: Yanan Guo , Xiaoqun Cao , Kecheng Peng
Published: September 2020

Atmospheric systems are typically chaotic and their chaotic nature is an important limiting factor for weather forecasting and climate prediction. So far, there have been many studies on the simulation and prediction of chaotic systems using numerical simulation methods. However, there are many intractable problems in predicting chaotic systems using numerical simulation methods, such as initial value sensitivity, error accumulation, and unreasonable parameterization of physical processes, which often lead to forecast failure. With the continuous improvement of observational techniques, data assimilation has gradually become an effective method to improve the numerical simulation prediction. In addition, with the advent of big data and the enhancement of computing resources, machine learning has achieved great success. Studies have shown that deep neural networks are capable of mining and extracting the complex physical relationships behind large amounts of data to build very good forecasting models. Therefore, in this paper, we propose a prediction method for chaotic systems that combines deep neural networks and data assimilation. To test the effectiveness of the method, we use the model to perform forecasting experiments on the Lorenz96 model. The experimental results show that the prediction method that combines neural network and data assimilation is very effective in predicting the amount of state of Lorenz96. However, Lorenz96 is a relatively simple model, and our next step will be to continue the experiments on the complex system model to test the effectiveness of the proposed method in this paper and to further optimize and improve the proposed method.
A review of lithium ion batteries electrochemical models for electric vehicles
Authors: Zhou Jiaping , Xing Bo , Wang Chunyang
Published: September 2020

The electrochemical model can reflect the electrochemical reactions inside the lithium ion battery, and the model parameters have practical physical significance. Therefore, it is commonly used in the simulation research of the life prediction and the cell decay mechanism analysis of the lithium ion battery. This paper mainly introduces three commonly used electrochemistry models: P2D model, SP model and extended SP model. The origin and research progress of three kinds of electrochemical models are described. The characteristics of the three models are analyzed and compared. P2D model can describe the battery reactions comprehensively, but the iterative solution is complicated. The SP model simplifies some electrochemical reactions and improves the computational speed of the model, but the accuracy is decreased. In order to solve the shortcoming of SP model, the electrochemical reaction omitted from SP model is introduced again, and the approximate solution is solved by mathematical method, so as to realize the balance between precision and computational complexity of the model. Based on the above analysis and the application scenarios of lithium ion battery, the further development of the lithium ion battery electrochemical model is prospected.
Mapping and Analysis of Technology Roadmap of Stem Cell Industry ─Taking Industrial Planning and Development of Guangdong Province as An Example
Authors: Chu Man , Pang Hongshen , Lin Can , Qin Xiaochu , Song Danhui , Guo Chen
Published: September 2020

As1the most revolutionary technology in cell therapy, stem cell technology will give birth to a series of new biotechnology, drive the development of the pharmaceutical industry, and lead the future of biological economy. Guangdong province has a good foundation for stem cell R&D and has set up a project named "Stem Cell and Tissue Engineering Technology" to make breakthroughs in core technologies of stem cell research. In this paper, it is of great significance to compile the industrial technology roadmap and clarify the key points of stem cell and tissue engineering industry through the research to provide reference for the decision-making in Guangdong province.
Effects of Dietary Fiber from Corn Husks on Hyperlipidemia prevention in Trans-fatty Acids fed Mice
Authors: Xu Fan , Xiao Yazhe , Xu Mingfei , Liu Jia
Published: September 2020

To evaluate the effects of dietary fiber from corn husks on hyperlipidemia, the hyperlipidemia model of mice was induced by trans-fatty acids diet,and the mice were randomly divided into the blank control group, the high fat control group(TFA group) and the low, middle and high dose group (2.5,5.0,10.0 G / kg) of dietary fiber from corn husks. Except the blank control group, the mice were fed with high fat diet. The body mass, serum total cholesterol, triglyceride, low density lipoprotein(LDL) and high density lipoprotein(HDL) were measured. The intake of trans-fatty acids resulted in a significant increase in the body weight, serum total cholesterol, triglyceride and LDL(P<0.01), HDL level was significantly lower(P<0.01). Corn husks dietary fiber intervention can reduce the body weight of mice, the serum total cholesterol, triglyceride, LDL concentration and increase HDL concentration. The difference between the high-dose group and the TFA group was significant(P<0.01), and the intervention effect was best in the group with high dose of corn husks dietary fiber. Corn husks dietary fiber can effectively reduce blood lipid in hyperlipidemia mode mice.
Sous Vide Cooked Technology and food safety control of chicken
Authors: Ding Hui
Published: September 2020

With the rapid development of food science and cooking technology, people's demand for the quality of food is gradually increasing. A delicious, safe and healthy diet has become a new goal for people. The emergence and the continuous improvement of Sous Vide Cooked Technology technology helps in catering these needs, which has been attarting the attention from more and more consumers. Chicken is rich in nutrition, high in protein and low in fat. Sous Vide Cooked Technology used in chicken cooking preserves chicken’s original flavor and color, which also maximumly keeps the nutrients of chicken. .
Technical analysis of water absorption rate of ceramic tiles
Authors: Yibing Tan
Published: September 2020

Water absorption is an important physical performance index to measure the quality of architectural ceramics products.The difference of water absorption test results between different laboratories is large, which cannot truly reflect the quality status of products, restricting the quality improvement of ceramic products and restricting the development of enterprises.This paper mainly analyzes the testing technology of water absorption of ceramic tile, and finds that the technical level of testing personnel, test water and vacuum system of equipment are the main factors affecting the results of water absorption test, and puts forward relevant Suggestions, which provides a strong basis for improving the testing technology of ceramic tile in the laboratory.