bluuebunny/crossref_metadata_2025 huggingface dataset:
Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants
Authors: Jiang Xinyi , Dellepiane Nefeli , Pairo-Castineira Erola , Boutin Thibaud , Kumar Yatendra , Bickmore Wendy A. , Vitart Veronique
Published: December 2020

Corneal resistance factor (CRF) is altered during corneal diseases progression. Genome-wide-association studies (GWAS) indicated potential CRF and disease genetics overlap. Here, we characterise 135 CRF loci following GWAS in 76029 UK Biobank participants. Enrichment of extra-cellular matrix gene-sets, genetic correlation with corneal thickness (70% (SE = 5%)), reported keratoconus risk variants at 13 loci, all support relevance to corneal stroma biology. Fine-mapping identifies a subset of 55 highly likely causal variants, 91% of which are non-coding. Genomic features enrichments, using all associated variants, also indicate prominent regulatory causal role. We newly established open chromatin landscapes in two widely-used human cornea immortalised cell lines using ATAC-seq. Variants associated with CRF were significantly enriched in regulatory regions from the corneal stroma-derived cell line and enrichment increases to over 5 fold for variants prioritised by fine-mapping-including atGAS7, SMAD3andCOL6A1loci. Our analysis generates many hypotheses for future functional validation of aetiological mechanisms.
Signatures of a liquid-crystal transition in spin-wave excitations of skyrmions
Authors: Mohanta Narayan , Christianson Andrew D. , Okamoto Satoshi , Dagotto Elbio
Published: December 2020

Understanding the spin-wave excitations of chiral magnetic order, such as the skyrmion crystal (SkX), is of fundamental interest to confirm such exotic magnetic order. The SkX is realized by competing Dzyaloshinskii-Moriya and ferromagnetic-exchange interactions with a magnetic field or anisotropy. Here, we compute the dynamical spin structure factor, using Monte Carlo and spin dynamics simulations, extracting the spin-wave spectrum in the SkX, in the vicinity of the paramagnet to SkX transition. Inside the SkX, we find six spin-wave modes, which are supplemented by another mode originating from the ferromagnetic background. Above the critical temperature Ts for the skyrmion crystallization, we find a diffusive regime, reminiscent of the liquid-to-crystal transition, revealing that topological spin texture of skyrmionic character starts to develop above Ts as the precursor of the SkX. We discuss the opportunities for the detection of the spin waves of the SkX using inelastic-neutron-scattering experiments in manganite-iridate heterostructures.
Quantitative analysis of excipient dominated drug formulations by Raman spectroscopy combined with deep learning
Authors: Fu Xiang , Zhong Li-min , Cao Yong-bing , Chen Hui , Lu Feng
Published: December 2020

Raman spectroscopy in conjunction with deep learning and non-negative least squares method was proposed as a solution to overcome the drug fast screening of lactose dominated drug formulations.
Limitations for colorimetric aggregation assay of metal ions and ways of their overcoming
Authors: Berlina Anna N. , Sotnikov Dmitry V. , Komova Nadezhda S. , Zherdev Anatoly V. , Dzantiev Boris B.
Published: December 2020

The scheme of colorimetric aggregation assay of metal ions and ways to improve the assay sensitivity.
Finding and characterizing a catalytic antibody light chain, H34, capable of degrading the PD-1 molecule
Authors: Hifumi Emi , Taguchi Hiroaki , Nonaka Tamami , Harada Takunori , Uda Taizo
Published: December 2020

Programmed cell death 1 (PD-1) is an immune checkpoint regulating T-cell function. A catalytic antibody light chain, H34, could enzymatically degrade the PD-1 molecule. In addition, it inhibited the binding of PD-1 with PD-L1.
Specific adsorption of trivalent cations in biological nanopores determines conductance dynamics and reverses ionic selectivity
Authors: Queralt-Martín María , Perini D. Aurora , Alcaraz Antonio
Published: December 2020

We show that the interaction of trivalent electrolytes with biological nanopores occurs via ion-specific adsorption yielding differential modulation of ion conduction and selectivity inversion.
Ultrafast nonradiative deactivation of photoexcited 8-oxo-hypoxanthine: a nonadiabatic molecular dynamics study
Authors: Jankowska Joanna , Góra Robert W.
Published: December 2020

Newly proposed, prebiotically plausible nucleotide syntheses involve 8-oxo-derivatives of nucleobases: here we investigate by theoretical means photostability and relaxation mechanism of 8-oxo-hypoxanthine, employed in the first successful synthesis.
The first-principles-based microkinetic simulation of the dry reforming of methane over Ru(0001)
Authors: Wang Wan-Ying , Wang Gui-Chang
Published: December 2020

As the temperature was increased, the generation rate of H2 and CO in the DRM reaction on Ru(0001) gradually increased along with the ratio of H2/CO generation rate.
Strong electron affinity PDI supramolecules form anion radicals for the degradation of organic pollutants via direct electrophilic attack
Authors: Bai Xiaojuan , Wang Cong , Wang Xuyu , Jia Tianqi , Sun Boxuan , Yang Shengqi , Li Di , Li Junqi , Li Haiyan
Published: December 2020

Strong electron affinity PDI supramolecules degrade organic pollutants efficiently through directly electrophilic attack.
Efficient imine synthesis via oxidative coupling of alcohols with amines in an air atmosphere using a mesoporous manganese–zirconium solid solution catalyst
Authors: Wu Shipeng , Zhang Hao , Cao Qiue , Zhao Qihua , Fang Wenhao
Published: December 2020

Mesoporous Mn1ZrxOy solid solution enables efficient imine formation from catalytic oxidative coupling of alcohols and amines at low temperature in an air atmosphere without base additives.
Punching above its weight: life cycle energy accounting and environmental assessment of vanadium microalloying in reinforcement bar steel
Authors: Pradeep Kumar Pranav , Santos David A. , Braham Erick J. , Sellers Diane G. , Banerjee Sarbajit , Dixit Manish K.
Published: December 2020

High-strength-low-alloy reinforcement bar steels prepared by vanadium microalloying methods have the potential to dramatically reduce the embodied energy and carbon footprint of buildings.
The role of microRNA-33 as a key regulator in hepatic lipogenesis signaling and a potential serological biomarker for NAFLD with excessive dietary fructose consumption in C57BL/6N mice
Authors: Pan Jeong Hoon , Cha Hanvit , Tang Jingsi , Lee Seoyoon , Lee Suk Hee , Le Brandy , Redding Mersady C. , Kim Sangyub , Batish Mona , Kong Byungwhi C. , Lee Jin Hyup , Kim Jae Kyeom
Published: December 2020

Fructose-induced hepatic miR-33 suppression lead to fatty liverviaupregulation of SREBP1. Additionally, fructose-induced hepatic ferroptosis may cause a spill-over of miR-33 into blood stream, which could be a potential serological biomarker for fructose-induced NAFLD.
Surface modifications of carbon nanodots reveal the chemical source of their bright fluorescence
Authors: Dutta Asmita , Trolles-Cavalcante Shimon T. Y. , Cleetus Annie , Marks Vered , Schechter Alex , Webster Richard D. , Borenstein Arie
Published: December 2020

Carbon nanodots were chemically modified to control the fluorescence and identify fluorophores.
Preparation of an ion imprinted chitosan-based porous film with an interpenetrating network structure for efficient selective adsorption of Gd(iii)
Authors: Liu Enli , Lin Xue , Zhang Dan , Xu Wenbiao , Shi Junyou , Hong Yuanzhi
Published: December 2020

In this work, a new Gd(III) ion imprinted CS-based porous film with interpenetrating network structure was fabricated by a simple polymerization–evaporation approach for the efficient selective adsorption of Gd(III) from aqueous solution.
Hierarchically interconnected ZnO nanowires for low-temperature-operated reducing gas sensors: experimental and DFT studies
Authors: Chikate Parameshwar R. , Sharma Alfa , Rondiya Sachin R. , Cross Russell W. , Dzade Nelson Y. , Shirage Parasharam M. , Devan Rupesh S.
Published: December 2020

The larger surface area and increased point contacts of hierarchically arranged ZnO nanowires (upper panel) offered more potential barriers for the gas molecule exhibiting binding strength CO < C2H5OH < NH3 (lower panel) and provided excellent gas-sensing performance at 100 °C for NH3 gas.
STM induced manipulation of azulene-based molecules and nanostructures: the role of the dipole moment
Authors: Kühne Tim , Au-Yeung Kwan Ho , Eisenhut Frank , Aiboudi Oumaima , Ryndyk Dmitry A. , Cuniberti Gianaurelio , Lissel Franziska , Moresco Francesca
Published: December 2020

The voltage-pulse manipulation of azulene-based single molecules and dimers adsorbed on Au(111) is studied with respect to dipole moment and charge distribution of the structures on the surface.
A unique high-diversity natural product collection as a reservoir of new therapeutic leads
Authors: Ghirga Francesca , Quaglio Deborah , Mori Mattia , Cammarone Silvia , Iazzetti Antonia , Goggiamani Antonella , Ingallina Cinzia , Botta Bruno , Calcaterra Andrea
Published: December 2020

We review the successful application of computer-aided methods to screen a unique and high-diversity in house collection library composed of around 1000 individual natural products.
Interaction among clays and bovine serum albumin
Authors: Mucha Martin , Maršálek Roman , Bukáčková Marta , Zelenková Gabriela
Published: December 2020

Interaction of bovine serum albumin with clays strongly affects the structure of both clay and protein.
Research on the deactivation mechanism of a denitration catalyst WO3–V2O5/TiO2 at a coal-fired power plant
Authors: Liu Xianghui , Yang Qiaowen
Published: December 2020

The active sites were washed away. The active sites were poisoned. The active sites were covered by substances.
Enhanced photoelectrochemical biosensing performance for Au nanoparticle–polyaniline–TiO2 heterojunction composites
Authors: Yan Bingdong , Zhao Xiaoru , Chen Delun , Cao Yang , Lv Chuanzhu , Tu Jinchun , Wang Xiaohong , Wu Qiang
Published: December 2020

A novel photoelectrode for glucose PEC biosensing composed of TiONTAs, PANI, and AuNPs was successfully obtained. The GOx@Au–PANI–TiONTA electrode exhibited a wide response range (2–36 mM) with a low detection limit (0.02 mM) and good stability.
Spice fixed oils as a new source of γ-oryzanol: nutraceutical characterization of fixed oils from selected spices
Authors: Manasa Vallamkondu , Chaudhari Sachin R. , Tumaney Ajay W.
Published: December 2020

First report on the presence of γ-oryzanol in spice fixed oils that could be extracted from the volatile oil free spice spent.
Highly sensitive cadmium sulphide quantum dots as a fluorescent probe for estimation of doripenem in real human plasma: application to pharmacokinetic study
Authors: Ali Marwa F. B. , Salman Baher I. , Hussein Samiha A. , Marzouq Mostafa A.
Published: December 2020

Thioglycolic acid-capped cadmium sulphide quantum dots (TGA-CdS QDs) as a fluorescent sensor have been synthesized and utilized as a fluorescent probe for the estimation of doripenem (DOR) in human plasma.
The detoxification mechanisms of low-accumulating and non-low-accumulating medicinal plants under Cd and Pb stress
Authors: Zhou Mo , Zhi Yang , Dai Yueying , Lv Jialun , Li Yajun , Wu Zehua
Published: December 2020

Recently, the levels of heavy metals in medicinal plants have aroused widespread concern because these elements usually enter the food chain through plants and are gradually passed to the final consumers, greatly threatening human health.
Ni/Pd-catalyzed Suzuki–Miyaura cross-coupling of alcohols and aldehydes and C–N cross-coupling of nitro and aminesviadomino redox reactions: base-free, hydride acceptor-free
Authors: Kazemnejadi Milad , Ahmed Rebin Omer , Mahmoudi Boshra
Published: December 2020

A new Ni/Pd bimetallic multifunctional catalytic system has been developed for the domino Suzuki–Miyaura cross-coupling of benzyl alcohols with phenyl boronic acid and domino reduction C–N cross-coupling of the nitro compounds with aryl halides.
Pyridylic anions are soft nucleophiles in the palladium-catalyzed C(sp3)–H allylation of 4-alkylpyridines
Authors: Wasfy Nour , Rasheed Faizan , Robidas Raphaël , Hunter Isabelle , Shi Jiaqi , Doan Brian , Legault Claude Y. , Fishlock Dan , Orellana Arturo
Published: December 2020

We report a mild palladium-catalyzed method for the selective allylation of 4-alkylpyridines in which highly basic pyridylic anions behave as soft nucleophiles.
Site-selective functionalization of remote aliphatic C–H bonds via C–H metallation
Authors: Zhang Qi , Shi Bing-Feng
Published: December 2020

Recent advances in site-selective functionalization of remote aliphatic C–H bonds in organometallic pathways are summarized.
Tuning the open circuit voltage by incorporating a diflurophenyl unit into a polymer backbone to achieve high efficiency polymer solar cells
Authors: Hossain Maimur , Afroz Mohammad Adil , Garai Rabindranath , Iyer Parameswar Krishnan
Published: December 2020

Fabrication of high performance polymer solar cells using a ternary polymer system modulates the morphology of the active layer, and significantly enhances the Voc, Jsc, PCE and mobility values.
Lithium-ion capacitor with improved energy density via perfect matching silicon@3D graphene aerogel anode and BCNNTs cathode
Authors: Jiang Hehe , Wang Shouzhi , Shi Dong , Chen Fuzhou , Shao Yongliang , Wu Yongzhong , Hao Xiaopeng
Published: December 2020

Our designed Si@GA//BCNNTs LIC achieves a maximum energy density of 197.3 W h kg−1 at 225 W kg−1.
Electric field-driven one-step formation of vertical p–n junction TiO2 nanotubes exhibiting strong photocatalytic hydrogen production
Authors: Kim Moonsu , Lee Jaewon , Je Minyeong , Heo Bumgi , Yoo Hyeonseok , Choi Heechae , Choi Jinsub , Lee Kiyoung
Published: December 2020

The electrochemically prepared anodic p–n junction TiO2 nanotubes leads to enhancing visible light absorption and high photocatalytic H2 production.
Recent advances in highly active nanostructured NiFe LDH catalyst for electrochemical water splitting
Authors: Bodhankar Pradnya M. , Sarawade Pradip B. , Singh Gurwinder , Vinu Ajayan , Dhawale Dattatray S.
Published: December 2020

The progress in the design strategies and synthetic mechanisms for each class of NiFe LDH electrocatalysts as well as the key trends in structural characterizations in catalyzing the water splitting process are discussed.
A DNA-inspired hydrogel mechanoreceptor with skin-like mechanical behavior
Authors: Zhang Qin , Liu Xin , Duan Lijie , Gao Guanghui
Published: December 2020

A DNA-inspired hydrogel mechanoreceptor exhibited high sensitivity, negligible electromechanical hysteresis and great biocompatibility for precisely detecting whole-body movements and physiological signals.
Ultra-small gold nanoparticles self-assembled by gadolinium ions for enhanced photothermal/photodynamic liver cancer therapy
Authors: Li Bei , Sun Lan , Li Tao , Zhang Yingge , Niu Xiaoya , Xie Maodi , You Zhen
Published: December 2020

Gold nanomaterials are widely used in biomedical research as drug delivery systems, imaging agents and therapeutic materials owing to their unique physicochemical properties and high biocompatibility.
The frequency-response behaviour of flexible piezoelectric devices for detecting the magnitude and loading rate of stimuli
Authors: Qiu Ye , Sun Shenshen , Xu Cong , Wang Youyan , Tian Ye , Liu Aiping , Hou Xu , Chai Hao , Zhang Zheng , Wu Huaping
Published: December 2020

A flexible piezoelectric sensor with frequency-response behaviour can enable the detection of the magnitude and loading rate of stimuli.
High strength and flexible aramid nanofiber conductive hydrogels for wearable strain sensors
Authors: Wang Jing , Lin Yankun , Mohamed Amel , Ji Qingmin , Jia Hongbing
Published: December 2020

As a typical wettable, flexible, and biocompatible material, hydrogel has been a potential candidate for wearable electronics.
Nanocellular poly(ether-block-amide)/MWCNT nanocomposite films fabricated by stretching-assisted microcellular foaming for high-performance EMI shielding applications
Authors: Wang Guilong , Zhao Jinchuan , Ge Chengbiao , Zhao Guoqun , Park Chul B.
Published: December 2020

A nanocellular PEBA/MWCNT nanocomposite film was fabricated by stretching-assisted microcellular foaming for high-performance EMI shielding applications.
Coronene derivatives for transparent organic photovoltaics through inverse materials design
Authors: Sorli Jeni C. , Friederich Pascal , Sanchez-Lengeling Benjamin , Davy Nicholas C. , Ngongang Ndjawa Guy Olivier , Smith Hannah L. , Lin Xin , Lopez Steven A. , Ball Melissa L. , Kahn Antoine , Aspuru-Guzik Alán , Loo Yueh-Lin
Published: December 2020

To accelerate materials discovery, computational methods such as inverse materials design, are used to design UV-absorbing coronene based derivatives that, following synthesis achieve high open-circuit voltages and visible transparencies.
Towards green communication in 5G systems: Survey on beamforming concept
Authors: Mohamed Khalid S. , Alias Mohamad Y. , Roslee Mardeni , Raji Yusuf M.
Published: December 2020

Connectivity in recent wireless communication is accessible anywhere because of the large footprints of both cellular and WiFi networks. Yet, the broadcasting in wireless technology increases the susceptibility of signals to contemporary challenges such as interference, fading, and distortion. In addition, the energy of signals is lost because of Doppler effects and scattering caused by the obstacles in the channel. The use of smaller base stations, exploitation of higher frequencies and millimetre waves, and the expansion towards massive multiple‐input multiple‐output makes beamforming one of the most important key technologies in fifth generation (5G) systems. Besides the energy efficiency enhancements because of the narrower beamwidths, it reduces the broadcasting probability by adaptively steering the signals towards the targeted receivers while reducing the reception for nearby receiver, that is less interference. It also increases the energy efficiency of the signals because of the narrow beamwidth. In this work, the 5G technology challenges, two of the most known channel models, applications is briefly received. The fundamentals of beamforming technology are also described and provide the necessary information to understand the technology.
Structured controller design for closed‐loop D‐stability in convex/non‐convex regions: Mixed integer‐linear programming approach
Authors: Merrikh‐Bayat Farshad
Published: December 2020

Here it is assumed that the characteristic function of a linear control system, which is in the form of a polynomial and its coefficients are desired affine functions of unknown parameters of controller, is given. It is also assumed that the transfer function of controller has a desired order and structure. Hence, some of the coefficients of the characteristic polynomial may not depend on some or any of the controller parameters. The main problem under consideration is to calculate the parameters of the controller such that all roots of the characteristic equation lie (if possible) inside the desired D‐stability region, which can be any convex/non‐convex connected/disconnected subset of complex plane. This problem has important applications in control theory. For example, non‐convex D‐stability regions appear when designing a controller for a fractional‐order system is aimed. It is shown that this problem, which is still open even in dealing with general convex regions, is exactly equivalent to a set of linear algebraic equalities/inequalities in mixed real‐integer variables, which can be solved efficiently by using the available software. Application of the proposed method for optimal controller design is also studied and three numerical examples are presented.
Gene modification strategies using AO‐mediated exon skipping and CRISPR/Cas9 as potential therapies for Duchenne muscular dystrophy patients
Authors: Solberg Marthe Helene , Shariatzadeh Maryam , Wilson Samantha L
Published: December 2020

Duchenne muscular dystrophy (DMD) is an X‐linked genetic disease affecting 1 in 5000 young males worldwide annually. Patients experience muscle weakness and loss of ambulation at an early age, with ∼75% reduced life expectancy. Recently developed genetic editing strategies aim to convert severe DMD phenotypes to a milder disease course. Among these, the antisense oligonucleotide (AO)‐mediated exon skipping and the adeno‐associated viral‐delivered clustered regularly interspaced short palindromic repeat (CRISPR) associated protein 9 (adeno‐associated viral (AAV)‐delivered CRISPR/Cas9) gene editing have shown promising results in restoring dystrophin protein expression and functionality in skeletal and heart muscle in both animals and human cells in vivo and in vitro. However, therapeutic benefits currently remain unclear. The aim of this review is to compare the potential therapeutic benefits, efficacy, safety, and clinical progress of AO‐mediated exon skipping and CRISPR/Cas9 gene‐editing strategies. Both techniques have demonstrated therapeutic benefit and long‐term efficacy in clinical trials. AAV‐delivery of CRISPR/Cas9 may potentially correct disease‐causing mutations following a single treatment compared to the required continuous AO/PMO‐delivery of exon skipping drugs. The latter has the potential to increase the dystrophin expression in skeletal/heart muscle with sustained effects. However, therapeutic challenges including the need for optimised delivery must be overcome in to advance current clinical data.
Mathematical model of the human respiratory system in chronic obstructive pulmonary disease
Authors: Tehrani Fleur T.
Published: December 2020

Chronic obstructive pulmonary disease (COPD) is a respiratory illness with high rates of morbidity and mortality. The human respiratory system undergoes many chronic changes and adaptations under this disease conditions. The purpose of this study was to devise a mathematical model of the human respiratory system under COPD. The model presented is based on a previous detailed model of the human respiratory system. Cyclic changes of the lung volume with the effects of increased dead space are included and the lung mechanics are used to adjust the rate of breathing. Continuous and dynamic changes in the cardiac output and cerebral blood flow are represented in the model. The model includes the modified response of the respiratory control system under the chronic effects of COPD including the shifting of the acid–base balance under the disease conditions. The performance of the model has been examined at rest and during moderate exercise with and without oxygen supplementation. The results under different stimuli are found to be in general agreement with experimental observations.
Active power dynamic interval control based on operation data mining for wind farms to improve regulation performance in AGC
Authors: Liu Yushan , Wang Lingmei , Chen Liming , Meng Enlong , Jia Huming , Jia Chengzhen , Guo Dongjie , Yin Shaoping
Published: December 2020

With the real‐time changes of wind speed and operating conditions, it is a challenge to fully tap the active power regulation ability and improve the control performance of automatic generation control (AGC) in a wind farm (WF). The essence of tapping the active power regulation ability is to realise the coordination and complementarity of each wind turbine's (WT's) dynamic adjustment performance (DAP). To address this, a novel data mining method is developed to derive the internal relations between WTs’ output power and pitch angle, impeller speed and pitch angle during the power adjustment process, and a unified mechanism model is established to describe DAP of WTs. Based on the discovered relationship between WTs’ DAP and its operating states, an active power distribution algorithm and a dynamic interval control method are proposed. Then, an active power dynamic interval control strategy that has been implemented using Java script in MyEclipse for WFs is further developed. The control strategy has been tested and applied in a 50 MW WF in northwest China. The preliminary results showed that the control strategy has improved the rapidity and accuracy of AGC in the WF.
Compact patch antenna on thick (>800 μm) NiFe2O4 magnetic film
Authors: He Yuxiao , Drew Eric , John Zhang Z. , Papapolymerou John
Published: December 2020

In this paper, we demonstrate a thick magnetic film loaded patch antenna which shows great potential in antenna miniaturisation with enhanced performance. First, a microstrip patch antenna is designed on a 3D‐printed air substrate which operates at 8.21 GHz with a measured realised gain of 8.2 dBi. Using the solution cast chemical method, we fabricate the nickel ferrite nanoparticle films within the air substrate achieving an estimated film thickness of 875–900 μm. Due to the different film thicknesses, the resonant frequency of the antenna shifts down by 0.75–1.75 GHz, indicating a 9.3%–21.3% of size reduction. At the same time, the bandwidth is improved by 0.16–0.25 GHz. The realised gain and efficiency are increased by 0.6 dB and 6%, respectively, given a good film quality.
A new method for processing ultrasonic gas flowmeter signal in wet gas
Authors: Wang Mi , Zheng Dandan , Mei Jianqiang , Mao Yang , Hu Jiayu
Published: December 2020

Gas velocity as an important characteristic parameter of wet gas has become a very active research issue in engineering field. Among many gas velocity measurement techniques, the ultrasonic flowmeter technique is more suitable for actual working conditions. However, the traditional signal processing methods of ultrasonic flowmeter are only proposed for single‐phase gas. In wet gas, the ultrasonic signals fluctuate greatly, are easily distorted and even lost, so the single‐phase ultrasonic signal processing methods are not applicable. Therefore, a new ultrasonic signal DBSCAN clustering synthetic peak method is proposed to solve the above problems. To verify the feasibility of this new proposed method, three real flow experiments are carried out on horizontal pipe at ambient temperature and pressure. Additionally, comparing the gas velocity results using ultrasonic signal double threshold method and ultrasonic empirical model method for single‐phase gas and the new proposed method for wet gas, it is shown that the measurement results using new proposed method accord with the theoretical law and can accurately measure the gas velocity. Furthermore, the three real flow experimental results show that the repeatability of gas velocity in wet gas by the new proposed method is mostly <0.5%.
Influence of water ageing on variation in space charge and thermo‐mechanical properties of epoxy micro‐nano composites
Authors: Babu Myneni Sukesh , Velmurugan Ramachandran , Sarathi Ramanujam , Imai Takahiro
Published: December 2020

Water ageing was carried out with epoxy micro–nano composite specimen. Silica micro particles and ion trapping nano particles were used as filler material in the composite specimens. Water ageing was carried out under room temperature and at 90 °C, to analyse the impact of water intake on space charge accumulation and charge decay characteristics. The threshold for space charge accumulation in epoxy specimens reduces, while the rate of space charge accumulation increases after water ageing. The initial surface potential had a marginal increment and the rate of surface potential decay has reduced significantly after water absorption. Trap distribution characteristics confirm the existence of deeper traps and charge mobility reduction in case of water aged specimens. The dynamic mechanical analysis have confirmed the viscoelastic behaviour of epoxy micro–nano composite specimens, is sensitive to the water absorption. Glass transition temperature of epoxy specimen after water absorption has shifted to lower temperatures due to plasticisation of polymer matrix and ascertained with the reduction in the activation energy. Digital image correlation method has been adopted to determine strain field distribution and displacement of the specimen under mechanical loading. Thermo gravimetric Analysis have confirmed the reduction in thermal stability resulting for water aged specimens.
Transient current effect on the dye sensitized solar cells I–V characterization
Authors: Touihri Ala Eddinne , Azizi Tarek , Gharbi Rached
Published: December 2020

A choosing process for the sampling delay in the dye sensitized solar cells I–V characterization method was established. The presented method is based on the stepwise varying bias voltage technique. The analyses were based on the solar cell transient current impact on the cell I–V acquisition. This process presents a method to correctly fix the I–V scan sampling delay concerning the cell settling time to obtain accurate dye sensitized solar cells performance measures. It allows a faster acquisition compared to classical measurement method to avoid the solar cell heating. All tests were performed on a typical TiO2 natural‐dyed solar cell, dedicated to laboratory tests. The cell manufacturing process was also discussed. Measures were operated by a laboratory developed digital acquisition board. The system architecture, as well as its operating algorithm, was presented.
Revisiting the progenitor of the low-luminosity type II-plateau supernova, SN 2008bk
Authors: O’Neill D. , Kotak R. , Fraser M. , Mattila S. , Pietrzyński G. , Prieto J. L.
Published: December 2020

The availability of updated model atmospheres for red supergiants and improvements in single and binary stellar evolution models, together with previously unpublished data, prompted us to revisit the progenitor of the low-luminosity type II-plateau supernova (type IIP SN), SN 2008bk. Using mid-infrared (mid-IR) data in combination with dust models, we find that high-temperature (4250−4500 K), high extinction (E(B − V)> 0.7) solutions are incompatible with the data. We therefore favour a cool (∼3500−3700 K) progenitor with a luminosity of log(L/L⊙) ∼ 4.53. Comparing with evolutionary tracks, we infer progenitor masses in the 8–10 M⊙ range in agreement with some previous studies. This mass is consistent with the observed pattern of low-luminosity type IIP SNe coming from the explosion of red supergiant stars (RSGs) at the lower extremum for core collapse. We also present multi-epoch data for the progenitor, but do not find clear evidence of variability.
Research and practice of water source heat pump technology in Heyi station
Authors: He Shiyao , Ren Yongxiang , Jiao Kai , Deng Jun , Meng Yiming , Liu Le , Li Jinshuai , Li Renjie
Published: December 2020

There are some problems in the thermal system of Huabei Oilfield, such as high energy consumption, high operation cost and poor production safety. With more stringent requirements for energy conservation and emission reduction, it is particularly important to replace fuel oil projects and improve the efficiency of heating system.The utilization of waste heat and waste heat resources in Huabei Oilfield and the application conditions of various heat pump technologies were investigated, according to the characteristics of large amount of sewage and high temperature produced by crude oil dehydration in Huabei Oilfield. Aiming at the characteristics of large amount of sewage and high temperature produced by crude oil dehydration in Huabei Oilfield, Pilot Application of Optimized Extracted Water Source Heat Pump Technology, the research results are applied to the the He Yi Station in the third oil production plant, estimating the scale and benefit of saving, finally, the purpose of reducing cost and increasing efficiency is achieved, and the data basis and technical guidance for energy saving renovation of thermal system in the future are improved.
Energy consumption forecast and charging demand alert based on operation condition clustering and control variable method
Authors: Huang Xuejing , Jia Jun , Xiao Wei , Zhao Ji , Chen Zhe , Liu Zongyang , Li Jiaqi
Published: December 2020

Travel anxiety of automobile owners has been aggravated because of the difficulty in accurately controlling the operation energy consumption and imperfection in charging infrastructure construction and other problems. Relying on the massive historical operation data of automobiles, it acquired the powerconsumption increasing coefficient of speed and temperature by means of clustering and control variable methods. Furthermore, the map Application Programming Interface (API) was invoked to obtain the path planning results thus realizing prediction on power consumption. The historical charging data of current automobile was used to build the mapping relations of the state of charge (SOC) and the state of energy (SOE). Combining with the prediction value of energy consumption it calculated the needed charge capacity and judge whether to issue the charging demand alert. Indicated by the application results, the proposed algorithm of energy-consumption forecast is more accurate than traditional average energy-consumption forecast algorithm. Accordingly, the charging demand alert function can effectively relive the travel anxiety of automobile owners.
Study on process evaluation and early warning technology of 35 kV and above power grid infrastructure project
Authors: Gao Qian , Feng Wei , Zhao Xin , Yang Junyi , Hong Yu , Tang Jie , Wu Qian
Published: December 2020

The management requirements of internal quality and efficiency improvement of State Grid Corporation and the internal and external environment of strengthening external supervision have put forward higher requirements for investment management, and also emphasized the accuracy and authenticity of investment execution. However, at present, the company’s investment management lacks the analysis tools of investment execution. Therefore, this project constructs the whole process early warning and evaluation model of investment, realizes three functions of “advance” warning, “pre-warning” before the arrival of the milestone node plan time, and the “after the event” implementation evaluation, so as to effectively monitor the implementation of the whole process of investment management and improve the overall investment of the company Capital level.
Research on Experiment Teaching Mode of Chinese Tea Ceremony Based on Virtual Simulation Technology
Authors: Gao Yunxia
Published: December 2020

Against the backdrop of developing new arts, it is urgent for undergraduate colleges engaged in applied studies to change the traditional teaching model and adopt virtual simulation technology to build an experiment teaching system for the studies of traditional Chinese culture, particularly the Chinese tea ceremony. In this paper, a multi-level experiment teaching system is developed based on experienceknowledge-skills with multiple objectives, covering two physical sections and four functional modules, featured by immersive and interactive teaching methods. It encourages learning based on independent inquiry, enabling students to be flexible for innovation. It effectively integrates good teaching resources to serve multiple disciplines, ultimately achieving the goal of enhancing competency, elevating spiritual pursuit, and raising awareness of innovation.
Trust, Currency, and Science: The Rise of the Fintech and Token Economy
Authors: Han Linqi
Published: December 2020

This paper primarily focused on the concept and correlation between the trust mechanism and currency system iterations from the early civilization age till nowadays. Structured as starting from diving into the history and evolution of the “format of the money”, by illustrating the changes associated with “TRUST” and “CONVENIENCE” as a timeline, and finally research into the ultimate of the current money - bitcoin and cryptocurrency.
Research on the Agglomeration of Jiangsu Electromechanical Industry Based on the Method of Order Relation Analysis
Authors: Wu Jingfei
Published: December 2020

Industrial agglomeration is considered by many scholars as a spatial organization that can achieve the highest economic benefits. This article combines the status quo of the export trade of mechanical and electrical products in Jiangsu Province, summarizes its export advantages and difficulties faced by exports, and analyzes the main influencing factors of the formation, development, maturity, and decline of Jiangsu’s mechanical and electrical industry clustering from the perspective of the industrial cluster life cycle and the weight of each influencing factor, aiming to inject new vitality into the export of Jiangsu’s electromechanical industry, bring better development opportunities, and walk away from emerging development bottlenecks.
Research on Management Strategy of Cost-based Intelligent Manufacturing System
Authors: Cong Haoting , Che Jinyi
Published: December 2020

The reliability, efficiency and accuracy of CNC machines as work cells of intelligent manufacturing systems (IMS) are criteria to measure the processing level of the latter. In order to improve the reliability of the IMS and reduce the maintenance cost, very sound preventive maintenance and management strategies concerning the CNC machines should be defined. We realized a parameter estimation of our reliability model for CNC machine units in an IMS environment, carried out a linear correlation test and a distribution fitting test for the model and obtained the failure distribution function and failure rate function. We then built a post-failure maintainability model and realized a maintainability evaluation. Following the above analyses, we built a cost-based preventive maintenance cycle model and obtained its optimal value by using the particle swarm optimization (PSO) algorithm. This research and its result can on the one hand guide the setting-up of preventive maintenance planning and management schemes and on the other hand reduce the production cost and enhance enterprise efficiency.
Review and Thermodynamic Calculation of Gas-based Shaft Furnace Direct Reduction Ironmaking
Authors: Luo Weiming
Published: December 2020

Different techniques have been used to study the reduction process of iron ore. In this paper, the reduction process of iron ore by CO at 200~1200°C is calculated. The effects of reducing agent overdose, reducing temperature and VCO2/(VCO+VCO2) on reducing degree were studied. The results show that the reduction degree increases with the increase of reducing agent and slows down gradually. During the reduction process, the reduction degree decreased significantly with the increase of VCO2/(VCO+VCO2). In this temperature segment, the reduction degree has a peak.
The Impaction of Sino-US Trade War on Energy Trade and Countermeasures
Authors: Shi Hui
Published: December 2020

In recent years, Sino-US trade friction has been escalating, and the Sino-US trade war in 2018 has officially sounded the alarm[1]. As one of the key links, energy trade is difficult to stand alone in this trade war. In terms of energy, technology and talents in the oil, gas and energy industries are likely to be affected. In order to deal with the impact of the trade war, China should broaden the energy import channels to ensure the energy import supply; accelerate the reform of state-owned enterprises in the energy industry to enhance the international competitiveness of products; increase investment in scientific research to promote energy technology innovation and scientific research personnel training and analyze the core issues of Sino-US trade war and look for the possibility of future cooperation.
Comparative Study on Output Game models of Multiple Oligopolistic Manufacturers
Authors: Wang Guanhui
Published: December 2020

This paper compares two types of models from the aspects of function selection, hypothesis parameters and modeling basis, and further constructs two composite comparative yield game models to further analyze the cooperation and competition of node enterprises in the supply chain. Based on the output game model of the three-level supply chain, a kind of control system which makes the decision of distributors and retailers chaotic is constructed, and the simulation analysis and supply chain application interpretation are given.
Research on the Marketing Strategy of Burgeoning Sugar-Free Beverages—Taking Yuanqi Forest as an Example
Authors: Chang Yizhuo
Published: December 2020

The appearance of sparkling water has set off a new wave in the beverage industry in China, with the annual sales volume increasing by almost 200% in 2019, compared with the 2018. The market share has risen to fourth place in the beverage market, becoming a new beverage that is only lower than water, carbonated drinks, and tea drinks. YuanQi Forest occupies a large market share in Chinese market, and its products are quite competitive. Therefore, it is of great theoretical and practical significance to study the marketing strategy of the YuanQi Forest at the present stage. This paper mainly adopts SWOT analysis, PEST analysis, and other marketing theories to analyze this kind of situation. The author aims to provide general rules for enterprises engaged in bubble water production and marketing for reference, and provides practical and theoretical guidance for Chinese enterprises to carry out and expand this industry. Through analysis, it can be concluded that YuanQi Forest has three marketing methods, which are product strategy, channel strategy and big data marketing. What is more, Yuanqi Forest has some drawbacks, such as channel construction, lack of supply chain, difficulty in market subsidence, and other problems.
Research and Practice of individualized talent Training Mode for rail transit majors from the perspective of new engineering
Authors: Wu Zhao , Li Hai Xiang , Qi Jun Ying
Published: December 2020

In order to cultivate application-oriented talents of urban rail transit, individualized talent training mode is an important measure. In view of the existing problems in the training of rail transit professionals, the research group proposed the framework of individualized talent training under the background of new engineering, planned the matrix corresponding to graduation requirements and knowledge, ability and quality, and then set up the curriculum system and built the multi-evaluation system in the implementation process. The developed solution has been put into practice and will be tested in the future teaching practice activities in order to constantly improve the personalized talent training model.
Research on Active Aging Learning and Satisfaction in the Elderly in the age of artificial intelligence
Authors: Tsai Yen-Ni , Chen Ming-Tsung
Published: December 2020

At present, artificial intelligence has become an important driving force for a new round of technological revolution and industrial transformation. Under the background of the increasingly significant trend of global population aging, it is an important issue to consider how to serve cognitive aging and geriatric linguistics research based on artificial intelligence technology to serve the transformation of the elderly from healthy aging, active aging to active aging. The research and application of artificial intelligence based geriatric linguistics and services for the aged include at least three fields: basic research on gerontology, detection of aging and diseases, and cognitive rehabilitation of aging language.This study explores the correlation between active aging learning and satisfaction among senior citizens. Taking the students from the Senior College of Central Taiwan as the research object, the Active Aging Learning and Satisfaction Questionnaire was used as the research tool. A total of 440 copies were sent out using a convenient sampling method. 400 questionnaires, deducted 20 incomplete questionnaires, effectively recovered 380 points, and the effective recovery rate was 86.36%. SPSS (Satistical Package for the Social Science) for Window statistical suite software was used as an analysis tool for descriptive statistics Data analysis was performed by statistical methods such as single factor variation analysis, regression analysis, item analysis, and factor analysis. The results of statistical analysis show that there is a significant difference in active aging learning and satisfaction among older people. In addition, research has found that the relationship between active aging learning and satisfaction has predictive power. Based on preliminary research, researchers have found that active aging learning has an effect on improving the satisfaction of older people, and makes relevant suggestions for future research and teaching units.
Creative Transformation of Etiquette——A Case Study of Honorers in Etiquette Teaching
Authors: Feng Qiong
Published: December 2020

Under the tide of reviving traditional culture, Chinese “ritual” culture education, which is the core of traditional culture, is in full swing. The state proposes that traditional culture needs creative transformation. However, how to transform the traditional ritual culture and the contents are not pointed out in detail. In contemporary etiquette teaching, both traditional etiquette and modern etiquette, enjoy many priority rights. From five aspects, this paper analyzes that the “venerable person” needs to be reconstructed urgently, and draws the conclusion that under the background of globalization and the Internet age, both sides of interpersonal communication should stand on an equal footing and regard life as the object of respect.
A Game Analysis of the Farmer Cooperatives’ Joint Development
Authors: Wang Peng
Published: December 2020

Joint development among farmers cooperatives is an inevitable trend. This paper, based on analysis of the game model, maintains that sound development of the federations of farmers cooperatives requires greater efforts into propaganda and education on cooperatives, strengthening of policy-based supply, support and guidance, optimization of the supervision and restriction mechanism, and rationalization of profit distribution mechanism among members.
Analysis of Kangmei Pharmaceutical’s Financial Restatement Behavior from the Perspective of Corporate Governance
Authors: Xue Guanglu
Published: December 2020

The object is Kangmei Pharmaceutical, a listed company in the pharmaceutical sector. The research is based on corporate governance, the company’s financial restatement behavior is analyzed based on the four aspects of Kangmei Pharmaceutical’s equity structure, institutional investors, independent audit institutions, media and regulatory agencies. In order to avoid Kangmei Pharmaceutical’s adjustments, several countermeasures and suggestions are put forward, and improve the corporate governance theory of the capital market.
Dynamic paid peak shaving benchmarks and bidding strategies adapted to the high proportion of new energy system
Authors: Luo Huanhuan , Zhao Yang , Wang Tianhang , Wang Yifan , Wang Hao , Ge Weichun , Liu Chuang , Wang Yibo
Published: December 2020

This article mainly analyze the shortcomings of the inherent peak shaving auxiliary service mechanism in the high-proportion of new energy access scenarios in Northeast China, which restricts the enthusiasm of thermal power units to participate in peak shaving. For this reason, a dynamic peak shaving compensation benchmark is proposed which follows load changes. At the same time, in order to standardize market behavior and facilitate market supervision, a guiding formula is proposed for quotation of thermal power units. Based on the above, a dynamic auxiliary service market mechanism is established which used actual operating data of Liaoning province power grid as a calculation example to verify that the mechanism can effectively improve the enthusiasm of thermal power units to participate in peak shaving, which is conducive to market operation and supervision as well.