bluuebunny/crossref_metadata_2025 huggingface dataset:
Alternative splicing controls teneurin-latrophilin interaction and synapse specificity by a shape-shifting mechanism
Authors: Li Jingxian , Xie Yuan , Cornelius Shaleeka , Jiang Xian , Sando Richard , Kordon Szymon P. , Pan Man , Leon Katherine , Südhof Thomas C. , Zhao Minglei , Araç Demet
Published: May 2020

The trans-synaptic interaction of the cell-adhesion molecules teneurins (TENs) with latrophilins (LPHNs/ADGRLs) promotes excitatory synapse formation when LPHNs simultaneously interact with FLRTs. Insertion of a short alternatively-spliced region within TENs abolishes the TEN-LPHN interaction and switches TEN function to specify inhibitory synapses. How alternative-splicing regulates TEN-LPHN interaction remains unclear. Here, we report the 2.9 Å resolution cryo-EM structure of the TEN2-LPHN3 complex, and describe the trimeric TEN2-LPHN3-FLRT3 complex. The structure reveals that the N-terminal lectin domain of LPHN3 binds to the TEN2 barrel at a site far away from the alternatively spliced region. Alternative-splicing regulates the TEN2-LPHN3 interaction by hindering access to the LPHN-binding surface rather than altering it. Strikingly, mutagenesis of the LPHN-binding surface of TEN2 abolishes the LPHN3 interaction and impairs excitatory but not inhibitory synapse formation. These results suggest that a multi-level coincident binding mechanism mediated by a cryptic adhesion complex between TENs and LPHNs regulates synapse specificity.
Loss of H3K27me3 imprinting in the Sfmbt2 miRNA cluster causes enlargement of cloned mouse placentas
Authors: Inoue Kimiko , Ogonuki Narumi , Kamimura Satoshi , Inoue Hiroki , Matoba Shogo , Hirose Michiko , Honda Arata , Miura Kento , Hada Masashi , Hasegawa Ayumi , Watanabe Naomi , Dodo Yukiko , Mochida Keiji , Ogura Atsuo
Published: May 2020

Somatic cell nuclear transfer (SCNT) in mammals is an inefficient process that is frequently associated with abnormal phenotypes, especially in placentas. Recent studies demonstrated that mouse SCNT placentas completely lack histone methylation (H3K27me3)-dependent imprinting, but how it affects placental development remains unclear. Here, we provide evidence that the loss of H3K27me3 imprinting is responsible for abnormal placental enlargement and low birth rates following SCNT, through upregulation of imprinted miRNAs. When we restore the normal paternal expression of H3K27me3-dependent imprinted genes (Sfmbt2, Gab1, and Slc38a4) in SCNT placentas by maternal knockout, the placentas remain enlarged. Intriguingly, correcting the expression of clustered miRNAs within the Sfmbt2 gene ameliorates the placental phenotype. Importantly, their target genes, which are confirmed to cause SCNT-like placental histology, recover their expression level. The birth rates increase about twofold. Thus, we identify loss of H3K27me3 imprinting as an epigenetic error that compromises embryo development following SCNT.
Precise control of the interlayer twist angle in large scale MoS2 homostructures
Authors: Liao Mengzhou , Wei Zheng , Du Luojun , Wang Qinqin , Tang Jian , Yu Hua , Wu Fanfan , Zhao Jiaojiao , Xu Xiaozhi , Han Bo , Liu Kaihui , Gao Peng , Polcar Tomas , Sun Zhipei , Shi Dongxia , Yang Rong , Zhang Guangyu
Published: May 2020

Twist angle between adjacent layers of two-dimensional (2D) layered materials provides an exotic degree of freedom to enable various fascinating phenomena, which opens a research direction—twistronics. To realize the practical applications of twistronics, it is of the utmost importance to control the interlayer twist angle on large scales. In this work, we report the precise control of interlayer twist angle in centimeter-scale stacked multilayer MoS2 homostructures via the combination of wafer-scale highly-oriented monolayer MoS2 growth techniques and a water-assisted transfer method. We confirm that the twist angle can continuously change the indirect bandgap of centimeter-scale stacked multilayer MoS2 homostructures, which is indicated by the photoluminescence peak shift. Furthermore, we demonstrate that the stack structure can affect the electrical properties of MoS2 homostructures, where 30° twist angle yields higher electron mobility. Our work provides a firm basis for the development of twistronics.
Context specificity of the EMT transcriptional response
Authors: Cook David P. , Vanderhyden Barbara C.
Published: May 2020

Epithelial–mesenchymal plasticity contributes to many biological processes, including tumor progression. Various epithelial–mesenchymal transition (EMT) responses have been reported and no common, EMT-defining gene expression program has been identified. Here, we have performed a comparative analysis of the EMT response, leveraging highly multiplexed single-cell RNA sequencing (scRNA-seq) to measure expression profiles of 103,999 cells from 960 samples, comprising 12 EMT time course experiments and independent kinase inhibitor screens for each. We demonstrate that the EMT is vastly context specific, with an average of only 22% of response genes being shared between any two conditions, and over half of all response genes were restricted to 1–2 time course experiments. Further, kinase inhibitor screens revealed signaling dependencies and modularity of these responses. These findings suggest that the EMT is not simply a single, linear process, but is highly variable and modular, warranting quantitative frameworks for understanding nuances of the transition.
Increased mitochondrial calcium levels associated with neuronal death in a mouse model of Alzheimer’s disease
Authors: Calvo-Rodriguez Maria , Hou Steven S. , Snyder Austin C. , Kharitonova Elizabeth K. , Russ Alyssa N. , Das Sudeshna , Fan Zhanyun , Muzikansky Alona , Garcia-Alloza Monica , Serrano-Pozo Alberto , Hudry Eloise , Bacskai Brian J.
Published: May 2020

Mitochondria contribute to shape intraneuronal Ca2+ signals. Excessive Ca2+ taken up by mitochondria could lead to cell death. Amyloid beta (Aβ) causes cytosolic Ca2+ overload, but the effects of Aβ on mitochondrial Ca2+ levels in Alzheimer’s disease (AD) remain unclear. Using a ratiometric Ca2+ indicator targeted to neuronal mitochondria and intravital multiphoton microscopy, we find increased mitochondrial Ca2+ levels associated with plaque deposition and neuronal death in a transgenic mouse model of cerebral β-amyloidosis. Naturally secreted soluble Aβ applied onto the healthy brain increases Ca2+ concentration in mitochondria, which is prevented by blockage of the mitochondrial calcium uniporter. RNA-sequencing from post-mortem AD human brains shows downregulation in the expression of mitochondrial influx Ca2+ transporter genes, but upregulation in the genes related to mitochondrial Ca2+ efflux pathways, suggesting a counteracting effect to avoid Ca2+ overload. We propose lowering neuronal mitochondrial Ca2+ by inhibiting the mitochondrial Ca2+ uniporter as a novel potential therapeutic target against AD.
Discovery of high-entropy ceramics via machine learning
Authors: Kaufmann Kevin , Maryanovsky Daniel , Mellor William M. , Zhu Chaoyi , Rosengarten Alexander S. , Harrington Tyler J. , Oses Corey , Toher Cormac , Curtarolo Stefano , Vecchio Kenneth S.
Published: May 2020

Although high-entropy materials are attracting considerable interest due to a combination of useful properties and promising applications, predicting their formation remains a hindrance for rational discovery of new systems. Experimental approaches are based on physical intuition and/or expensive trial and error strategies. Most computational methods rely on the availability of sufficient experimental data and computational power. Machine learning (ML) applied to materials science can accelerate development and reduce costs. In this study, we propose an ML method, leveraging thermodynamic and compositional attributes of a given material for predicting the synthesizability (i.e., entropy-forming ability) of disordered metal carbides. The relative importance of the thermodynamic and compositional features for the predictions are then explored. The approach’s suitability is demonstrated by comparing values calculated with density functional theory to ML predictions. Finally, the model is employed to predict the entropy-forming ability of 70 new compositions; several predictions are validated by additional density functional theory calculations and experimental synthesis, corroborating the effectiveness in exploring vast compositional spaces in a high-throughput manner. Importantly, seven compositions are selected specifically, because they contain all three of the Group VI elements (Cr, Mo, and W), which do not form room temperature-stable rock-salt monocarbides. Incorporating the Group VI elements into the rock-salt structure provides further opportunity for tuning the electronic structure and potentially material performance.
How to optimize knowledge construction in the brain
Authors: van Kesteren Marlieke Tina Renée , Meeter Martijn
Published: May 2020

Well-structured knowledge allows us to quickly understand the world around us and make informed decisions to adequately control behavior. Knowledge structures, or schemas, are presumed to aid memory encoding and consolidation of new experiences so we cannot only remember the past, but also guide behavior in the present and predict the future. However, very strong schemas can also lead to unwanted side effects such as false memories and misconceptions. To overcome this overreliance on a schema, we should aim to create robust schemas that are on the one hand strong enough to help to remember and predict, but also malleable enough to avoid such undesirable side effects. This raises the question as to whether there are ways to deliberately influence knowledge construction processes, with the goal to reach such optimally balanced schemas. Here, we will discuss how the mnemonic processes in our brains build long-term knowledge and, more specifically, how different phases of memory formation (encoding, consolidation, retrieval, and reconsolidation) contribute to this schema build-up. We finally provide ways how to best keep a balance between generalized semantic and detailed episodic memories, which can prove very useful in, e.g., educational settings.
DNA methylation of chronic lymphocytic leukemia with differential response to chemotherapy
Authors: Yosifov Deyan Yordanov , Bloehdorn Johannes , Döhner Hartmut , Lichter Peter , Stilgenbauer Stephan , Mertens Daniel
Published: May 2020

Acquired resistance to chemotherapy is an important clinical problem and can also occur without detectable cytogenetic aberrations or gene mutations. Chronic lymphocytic leukemia (CLL) is molecularly well characterized and has been elemental for establishing central paradigms in oncology. This prompted us to check whether specific epigenetic changes at the level of DNA methylation might underlie development of treatment resistance. We used Illumina Infinium HumanMethylation450 BeadChips to obtain DNA methylation profiles of 71 CLL patients with differential responses. Thirty-six patients were categorized as relapsed/refractory after treatment with fludarabine or bendamustine and 21 of them had genetic aberrations of TP53. The other 35 patients were untreated at the time of sampling and 15 of them had genetic aberration of TP53. Although we could not correlate chemoresistance with epigenetic changes, the patients were comprehensively characterized regarding relevant prognostic and molecular markers (e.g. IGHV mutation status, chromosome aberrations, TP53 mutation status, clinical parameters), which makes our dataset a unique and valuable resource that can be used by researchers to test alternative hypotheses.
The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules
Authors: Smith Justin S. , Zubatyuk Roman , Nebgen Benjamin , Lubbers Nicholas , Barros Kipton , Roitberg Adrian E. , Isayev Olexandr , Tretiak Sergei
Published: May 2020

Maximum diversification of data is a central theme in building generalized and accurate machine learning (ML) models. In chemistry, ML has been used to develop models for predicting molecular properties, for example quantum mechanics (QM) calculated potential energy surfaces and atomic charge models. The ANI-1x and ANI-1ccx ML-based general-purpose potentials for organic molecules were developed through active learning; an automated data diversification process. Here, we describe the ANI-1x and ANI-1ccx data sets. To demonstrate data diversity, we visualize it with a dimensionality reduction scheme, and contrast against existing data sets. The ANI-1x data set contains multiple QM properties from 5 M density functional theory calculations, while the ANI-1ccx data set contains 500 k data points obtained with an accurate CCSD(T)/CBS extrapolation. Approximately 14 million CPU core-hours were expended to generate this data. Multiple QM calculated properties for the chemical elements C, H, N, and O are provided: energies, atomic forces, multipole moments, atomic charges, etc. We provide this data to the community to aid research and development of ML models for chemistry.
Conformation-dependent degradation of thermally activated delayed fluorescence materials bearing cycloamino donors
Authors: Hwang Sanju , Moon Yu Kyung , Jang Ho Jin , Kim Sinheui , Jeong Hyein , Lee Jun Yeob , You Youngmin
Published: May 2020

Organic light-emitting devices (OLEDs) containing organic molecules that exhibit thermally activated delayed fluorescence (TADF) produce high efficiencies. One challenge to the commercialization of the TADF OLEDs that remains to be addressed is their operational stability. Here we investigate the molecular factors that govern the stability of various archetypal TADF molecules based on a cycloamino donor–acceptor platform. Our results reveal that the intrinsic stability depends sensitively on the identity of the cycloamino donors in the TADF compounds. The rates and photochemical quantum yields of the degradation are positively correlated with the operation lifetimes of the devices. Our research shows that the stability is governed by the conformeric heterogeneity between the pseudo-axial and pseudo-equatorial forms of the cycloamino donor. Spontaneous bond dissociation occurs in the former (i.e., the pseudo-axial form), but the cleavage is disfavored in the pseudo-equatorial form. These findings provide valuable insights into the design of stable TADF molecules.
Patterned carbon dot-based thin films for solid-state devices
Authors: Segkos Apostolos , Sakellis Ilias , Boukos Nikolaos , Drivas Charalampos , Kennou Stella , Kordatos Konstantinos , Tsamis Christos
Published: May 2020

We report a methodology for the deposition and further manipulation of fluorescent CQD-based nanocomposite thin films on SiO2 substrates, to obtain dissolution resistant, lithographically patterned films that retain their fluorescent properties.
An artificial cell system for biocompatible gene delivery in cancer therapy
Authors: Zhao Xin , Tang Dongyang , Wu Ying , Chen Shaoqing , Wang Cheng
Published: May 2020

The artifical cell system for the gene therapy of cancer might be a promising approach for the reversal of neoplastic progress of cancer cells.
A three-dimensional electrode bioelectrochemical system for the advanced oxidation of p-nitrophenol in an aqueous solution
Authors: Ren Jing , Li Haoxin , Li Na , Song Youtao , Chen Jiayi , Zhao Lin
Published: May 2020

PNP absorbed in and surrounded by GPEs has kinetic favorability in the degradation process by a three-dimensional electrode MFC-Fenton system.
Bridging the immiscibility of an all-fluoride fire extinguishant with highly-fluorinated electrolytes toward safe sodium metal batteries
Authors: Zheng Xueying , Gu Zhenyi , Liu Xuyang , Wang Zhongqiang , Wen Jiayun , Wu Xinglong , Luo Wei , Huang Yunhui
Published: May 2020

An all-fluoride fire extinguishant is embedded within the electrolyte via bridge solvents, enabling safe and stable sodium metal batteries.
Direct laser-patterned MXene–perovskite image sensor arrays for visible-near infrared photodetection
Authors: Ren Aobo , Zou Jihua , Lai Huagui , Huang Yixuan , Yuan Liming , Xu Hao , Shen Kai , Wang Hao , Wei Shunyong , Wang Yunfan , Hao Xia , Zhang Jingquan , Zhao Dewei , Wu Jiang , Wang Zhiming
Published: May 2020

Solution-processed MXene–perovskite image sensor arrays are realized by a top-down method, which combine desirable manufacturing advantages and state-of-the-art performance metrics.
A high-throughput and untargeted lipidomics approach reveals new mechanistic insight and the effects of salvianolic acid B on the metabolic profiles in coronary heart disease rats using ultra-performance liquid chromatography with mass spectrometry
Authors: Li Ying-peng , Wang Cong-ying , Shang Hong-tao , Hu Rui-rui , Fu Hui , Xiao Xue-feng
Published: May 2020

High-throughput lipidomics provides the possibility for the development of new therapeutic drugs.
Nanocomposite liposomes for pH-controlled porphyrin release into human prostate cancer cells
Authors: Fuentes German V. , Doucet Eric N. , Abraham Alyson , Rodgers Nikki K. , Alonso Felix , Euceda Nelson , Quinones Michael H. , Riascos Penelope A. , Pierre Kristelle , Sarker Nuhash H. , Dhar-Mascareno Manya , Cotlet Mircea , Kisslinger Kim , Camino Fernando , Li Mingxing , Lu Fang , Gao Ruomei
Published: May 2020

Nanocomposite liposomes are relatively stable in weak basic solutions but effectively release porphyrins at acidic pH, as indicated by the difference in fluorescence.
A concise and sequential synthesis of the nitroimidazooxazole based drug, Delamanid and related compounds
Authors: Sharma Sumit , Anand Radhika , Cham Pankaj Singh , Raina Sushil , Vishwakarma Ram. A. , Singh Parvinder Pal
Published: May 2020

A concise, protection-group free and sequential route has been developed for the synthesis of the nitroimidazole based FDA-approved multi-drug resistant anti-tuberculosis drug, Delamanid and anti-leishmanial lead candidate VL-2098.
Dynamic reaction-induced phase separation in tunable, adaptive covalent networks
Authors: Herbert Katie M. , Getty Patrick T. , Dolinski Neil D. , Hertzog Jerald E. , de Jong Derek , Lettow James H. , Romulus Joy , Onorato Jonathan W. , Foster Elizabeth M. , Rowan Stuart J.
Published: May 2020

Dynamic covalent networks comprised of tunable thia-Michael bonds result in phase separated networks with tailorable mechanical and adaptive properties.
Structure of copper sites in zeolites examined by Fourier and wavelet transform analysis of EXAFS
Authors: Sushkevich Vitaly L. , Safonova Olga V. , Palagin Dennis , Newton Mark A. , van Bokhoven Jeroen A.
Published: May 2020

The structure of copper-oxo species hosted in zeolites of various topology has been examined using wavelet and Fourier transform analysis of Cu K-edge EXAFS spectra.
Formation of fibrillar crystals strongly accelerates the form II to I transformation of polybutene-1
Authors: Zhang Jiaqi , Liu Chang , Zhao Xintong , Zhang Zhijie , Chen Quan
Published: May 2020

This study finds that the form II to I transformation of isotactic polybutene-1 is greatly accelerated when fibrillar form II crystals have been induced by the shear flow, and a degree of this acceleration increases with the shear rate.
Flexible and free-standing hetero-electrocatalyst of high-valence-cation doped MoS2/MoO2/CNT foam with synergistically enhanced hydrogen evolution reaction catalytic activity
Authors: Li Chenyu , Zhao Shuyang , Zhu Kunlei , Wang Bolun , Wang Enze , Luo Yufeng , He Liqiong , Wang Jiaping , Jiang Kaili , Fan Shoushan , Li Jia , Liu Kai
Published: May 2020

A high-valence-cation doped MoS2/MoO2 hetero-electrocatalyst incorporated in carbon nanotube foam by a one-step synthesis synergistically enhances the HER activity.
Saponin-containing multifunctional binder toward superior long-term cycling stability in Li–S batteries
Authors: Kim Soochan , Cho Misuk , Lee Youngkwan
Published: May 2020

Saponin, comprising abundant hydroxyl groups and hydrophobic aglycone moieties, is introduced for the first time as a multi-functional additive for high-performance Li–S batteries.
Multi‐metric domain adaptation for unsupervised transfer learning
Authors: Yang Hongwei , He Hui , Li Tao , Bai Yawen , Zhang Weizhe
Published: May 2020

Unsupervised domain adaptation aims to learn a classifier for the unlabelled target domain by leveraging knowledge from a labelled source domain. This study presents a novel domain adaptation framework from global and local transfer perspectives, referred to as multi‐metric domain adaptation (MMDA) for unsupervised transfer learning. At the global level, MMDA minimises the marginal and within‐class distances and maximises the between‐class distance between domains while maintaining the features of the source domain to improve the cross‐domain adaptability. At the local level, MMDA exploits both in‐ and cross‐domain manifold structures embedded in data samples to increase the discriminative ability. The authors learn a coupled transformation that projects the source and target domain data onto respective subspace where the statistical and geometrical divergences are reduced simultaneously. They formulate global and local adaptation methods in an optimisation problem and derive an analytic solution to the objective function. Extensive experiments demonstrate that MMDA shows improvements in classification accuracy compared with several existing state‐of‐the‐art methods.
18 band ANSI S1.11 filter bank based on interpolated finite impulse response technique for hearing aids
Authors: S.P. Deepu , Kini M. Ramesh , David S. Sumam
Published: May 2020

A low complexity interpolated finite impulse response (IFIR) based 18 band ANSI S1.11 1/3 octave digital filter bank for hearing aid is proposed and implemented using 65 nm UMC technology in this study. ANSI S1.11 specifications for 1/3 octave Class‐2 filters are chosen as design criteria in the proposed method. The strict requirements at lower bands make the hardware implementation of ANSI S1.11 filter bank complex and difficult in a power critical application like hearing aid. In the proposed technique, the maximum margin available in the filter specifications is utilised in both upper and lower band edge specifications to reduce the filter order. IFIR technique was used to reduce the computations at lower bands which can be implemented in hardware efficiently without altering the sampling frequency of the input signal. Compared to other recent architectures, >50% reduction in total number of filter coefficients is achieved and the group delay is kept <10 ms. Hardware implementation of the algorithm was done using 65 nm standard cell libraries and tested the outputs with NAL‐NL2 gain prescriptions. The matching errors are within and the core power consumption was obtained as 0.37 mW.
Application of blockchain in integrated energy system transactions
Authors: Liu Jianhua , Sun Shengbo , Chang Zheng , Zhou Bo , Wang Yongli , Wang Jingyan , Wang Shuo
Published: May 2020

Blockchain technology is the underlying technology of Bitcoin, which is fair, transparent and decentralized. The integrated energy system has the characteristics of open interconnection, user-centered and distributed peer-to-peer sharing, and its energy trading model will also be developed centrally to distributed. The characteristics of blockchain technology make it naturally applicable to energy transactions in integrated energy systems. This article first analyzes the characteristics of the integrated energy system market and summarizes the participants in the market. Then, based on the existing research and analysis, a blockchain-based energy transaction architecture is designed, and a weakly centralized management method is introduced. finally, the problems and challenges faced by the application of blockchain in energy transactions are analyzed.
Research On Wave Energy Generation Technology
Authors: Yuxin Yang , Zhemin Jin
Published: May 2020

With the increasingly serious environmental pollution and the intensified energy war, the all-round development and utilization of marine energy will become an indispensable key link in China’s implementation of the maritime power strategy. In recent years, with the support of the state, China’s wave energy generation technology has made a key breakthrough.In order to protect the environment, save energy and reduce emissions, and promote the utilization of wave energy, this paper reviews the development history of application generation technology, summarizes its development from two aspects of optimization and application of wave energy conversion devices, and analyses the application examples of wave energy generation devices on ships. This paper summarizes the application trend of wave power generation devices on ships: wave power generation should be used as auxiliary and domestic electricity for ships and wave energy should be combined with other new energy sources. Wave energy application in marine power generation can effectively reduce emissions from ships, which is conducive to the sustainable development of human society.
Study and Suggestion on Industrial Energy Efficiency of 13th Five Year Plan
Authors: Liu Ren , Yujuan Xia , Zhang Sinan , Wang Zhonghang
Published: May 2020

The determination of energy consumption and conservation targets during the 13th Five-Year Plan lies in the core of the 13th Five-Year energy conservation planning. In this paper, the top-down decomposition methods was been employed to calculate China energy consumption, and research on the prediction of the development of industrial energy efficiency. In the end, author gave the suggestions to show the double control for energy consumption intensity and total consumption is the best way to fulfil the target of industrial energy efficiency of 13th five year plan energy consumption plan.
Research on the Pollution of Express Plastic Packaging Based on System Dynamics
Authors: Ren Guoqiang , Zhao Cuiming
Published: May 2020

With the rapid development of e-commerce, the environmental pollution caused by express plastic packaging is increasingly prominent. This paper takes express plastic packaging as the research object and analyzes its harm to the environment. Under the guidance of green logistics, using the research method of system dynamics, the causal loop diagram of express plastic packaging system is drawn and analyzed. Finally, based on the circuit diagram, the paper puts forward some measures, such as strengthening the construction of laws and regulations, improving the recycling system, strengthening research and development, industry standardization and focusing on publicity, to reduce the environmental pollution caused by express packaging.
Course Objective Analysis of Physical Pollution Control Engineering
Authors: Zhang Haiying
Published: May 2020

Achievement degree of Physical Pollution Control Engineering is analyzed for students whose major is Environmental Engineering. Through learning of this course, the students can solve practical problems related to physical pollution control, and can also provide control procedure and measures. It is concluded that the average achievement degree is 0.71 for object 1, 0.77 for object 2, and 0.47 for object 3. Students have a relatively good grasp of object 1 and object 2, while a low grasp of object 3. Hence, object 3 should be strengthened in later class teaching.
Research on Urban Air Quality Prediction Based on Ensemble Learning of XGBoost
Authors: Jing Haotian , Wang Yingchun
Published: May 2020

In recent years, with the rapid development of China’s economy and the continuous improvement of people’s quality of life, air pollution caused by a large amount of energy consumption has become increasingly serious. Air quality index (AQI) has become an important basis to measure air quality. At present, the research on air quality assessment and prediction methods has become increasingly active at home and abroad, which is of great significance to guide people’s production and life. In this paper, Taking Shijiazhuang, Hebei Province as an example and using the XGBoost model of the machine learning ensemble algorithm, regression fitting was performed on the six pollutant concentrations that currently mainly affect air quality, and the hourly prediction of AQI was achieved.The trained model has lower mean absolute error (MAE) and higher correlation coefficient (R-square), which improves the prediction ability of urban air quality prediction, provides a new idea for urban air quality prediction, and has a broad application prospect in the future urban air quality prediction.
Application Research Based on Ecological Environment and Environmental Protection Technology
Authors: Zhu Ditong , Wang Yingchun
Published: May 2020

Ecological environment detection and environmental protection technology becomes an important means to ensure the sustainable development of human beings. Under the premise of the common development of the world’s environmental protection, environmental protection is becoming more and more important. Under the background of the development of science and technology, human beings should also fundamentally solve the ecological environmental protection problem. At the same time, multi-domain ecological environment monitoring data will be used to improve the data processing technology capacity to meet the government’s multi-source control needs and improve the government’s scientific decision-making effect. Starting from the significance of applying ecological environment detection and environmental protection technology, this paper explores and defines the problems existing in the ecological environment detection and environmental protection technology, and puts forward corresponding optimization strategies in combination with big data technology for reference.
Analysis of Industrial Economic Growth and Environmental Pollution in Tianjin Based on Tapio Decoupling Model
Authors: Liu Zening , Wang Yingchun
Published: May 2020

In order to accelerate the construction of a resource-saving and environmentally-friendly industrial ecosystem, this paper uses the Tapio decoupling analysis model to calculate the decoupling index of Tianjin’s industrial economic growth and the major environmental pollutants of the industry from 2005 to 2015 and analyze the decoupling status. The results show that the decoupling state of Tianjin’s economic growth and environmental pollution from 2005 to 2015 is generally in a strong positive decoupling and a weak growth decoupling, but the decoupling state of some environmental pollution factors has temporarily deteriorated. The relationship between industrial economic growth and industrial pollutant emissions has eased in the 12th Five-Year Plan.
A Study on the Planning of New Campus under the Concept of Green Ecology
Authors: Hongjun Li
Published: May 2020

Under the background of the era with the theme of green development, higher requirements have been put forward for the planning of new campus in colleges and universities. Campus planning under the concept of green emphasizes the ecological green campus model, creates a beautiful and elegant campus environment with outstanding green ecological characteristics, and realizes the green development and sustainable development of new campus in colleges and universities. The campus planning should fully consider the natural landscape, coordinate with the surrounding environment, combine the regional and cultural characteristics, integrate the unique human environment characteristics of traditional campus, and form a unique human campus atmosphere. Based on the terrain and the water body, the planning is supposed to inherit the elements of good campus space and create a unique campus space personality.
Effect of Land Use Change on Ecosystem Service Value in Dujiangyan City
Authors: Liu Min , Wen Shimin , Zhang Chuanjiang
Published: May 2020

In order to evaluate the impact of land use change on ecosystem service value in Dujiangyan City, through equivalent factor method, qualitative and quantitative analysis is carried out on the dynamic change of land use change and its caused ecosystem service value in Dujiangyan City from 2010 to 2016. The results show that: (1) Dujiangyan city land use changes a large extent, with the extension of construction land expansion as the main increase part, and at the cost of the reduction of arable land and grassland area. (2) Over the past 7 years, the total value of ecosystem services in Dujiangyan city followed a law of first rising and then falling, showing an overall rising trend, with a total increase of 19.2244 million yuan. (3) The accuracy of the ecological value coefficient of woodland and grassland will greatly affect the value assessment of ecosystem services in Dujiangyan city. (4) From the relationship between land use type and ecosystem service value, cultivated land and construction land are negatively correlated with ecosystem service value, on the contrary, forest land, grassland, water area and construction land are positively correlated with ecosystem service value. In general, the land use of Dujiangyan City did not cause obvious damage to the ecological environment, but also cannot ignore the impact of land use changes on the environment in the process of economic development. It is necessary to control the growth of construction land area, promote the conservation and rational development of Eco-tourism area in Dujiangyan City, maintain the stability of ecosystem services in Dujiangyan City, and realize the strategy of sustainable development of Social-Economic-Ecological benefits.
Engineering application of ecological lake purification tailwater from sewage plant in vein industrial park
Authors: Yu Lintang , Tang Zhongya , Feng Li , Ji Junjie
Published: May 2020

As the raising of environmental protection requirements, the outlet water (tailwater) quality standards of many sewage treatment plants need to be further improved. This paper mainly introduces the advanced treatment of tailwater from sewage treatment plant of vein industrial park by artificial ecological lake. The designed processing amount of this project was 1300 m3/d, the inlet water COD was 30 mg/L, the ammonia nitrogen content was 1.5 mg/L, and the outlet water main index reached the surface water environment quality standard (GB3838-2002) Ⅲ class water quality standard, which had improved the outlet water (tailwater) quality of sewage treatment plants and improved the regional water environment quality. By constructing an artificial landscape lake, the resource utilization of tailwater can be realized.
Application of microbial flocculants in sewage treatment
Authors: Xu Chenxiao
Published: May 2020

At present, sewage from agriculture, industry and urban life has become the three major sources of sewage today. As global wastewater emissions continue to increase, people are trying to find more effective solutions. Among them, flocculation technology is widely favored as a more economical and simple one among many water treatment technologies. Inorganic and organic polymer flocculants are two types of chemical flocculants developed and applied in China for a long time. Both types of flocculants have their own advantages in different fields. However, in the process of using these two types of sewage treatment technology, it will bring many adverse effects on human health and ecological environment. Inorganic flocculants have a fast flocculation speed, and have a high specific gravity of alum flowers, and they are easy to sink, but they will bring a large amount of inorganic ions such as aluminum and iron into the treated liquid, and excessive intake of aluminum ions by the human body may cause dementia A series of diseases. Strong corrosiveness is the biggest problem of iron salt flocculants in use. It will shorten the service life of the equipment and bring color to the treated water. Organic polymer flocculant flocculates faster than inorganic flocculant, and has more advantages in terms of dosage, separation process, adaptability, etc., because some polymer flocculants monomer itself is toxic, even its hydrolysis or degradation the product is also toxic (such as polyacrylamide monomer). Therefore, researchers are committed to finding efficient, safe, and non-polluting flocculants to meet the requirements for safe use of flocculants and the reduction of secondary pollution during wastewater treatment. Compared with chemical flocculants, the outstanding advantages have caused the rapid development of microbial flocculants, and its outstanding advantages without secondary pollution have attracted the attention of many researchers, and the development prospect is broad.
Study on the Pollution Control of Down Washing Wastewater in West Anhui, China
Authors: Song Xinwei , Gao Yulan , Shen Dongmei , Jia Rusheng
Published: May 2020

The down industry is one of the special agricultural industrial clusters in West Anhui province, China. There are large drainage and large pollution load in the washing down industry. By analysing the characteristics of wastewater from down washing industry, it is proposed that the enterprises of down industry should separate heavily polluted wastewater from slightly polluted and reuse the wastewater directly or after regeneration treatment. According to the gathering situation of down feather industrial enterprises in West Anhui province, it is proposed to build down feather industrial park and down specialized sewage treatment plant in the industrial gathering area, so as to solve the pollution problem of enterprises through centralized treatment and make industry bigger and stronger.
Joint adjustment by CPIII precision trigonometric elevation control network assisted with precision levelling observation
Authors: Jianzhang Li
Published: May 2020

Using the precision trigonometric elevation instead of the precision levelling to build a CPⅢ elevation control network will greatly increase the speed of CPⅢ control network construction. However, the accuracy of CPIII precision trigonometric elevation control network is still difficult to reach the level of CPⅢ precision levelling network. Based on the existing parameter method, this paper introduces some precision levelling for joint adjustment, and uses Helmert’s variance estimation method to perform strict weight determination. Our experiments show that when the number of precision levelling participating in the joint adjustment exceeds 1/3 of the total number of CPⅢ precision levelling network observations, the accuracy of the CPIII precision trigonometric elevation control network can be effectively improved.
Comparative analysis of Land Surface Temperature model inversion by multiple methods
Authors: Na-na Liu , Yang Zhou
Published: May 2020

Land surface temperature is the surface of the earth’s energy change and the exchange process, which is an important index for a lot of scientific research, it can be obtained in a variety of ways, combining with scientific research workers at home and abroad for many years,the land surface temperature acquisition methods are summarized, four land surface temperature methods are introduced and their characteristics are analyzed.
The Improvement and application of elevation measurement method with total station
Authors: Xu Yiteng , Zhao Xin , Liu Hewen , Xu Feng , Wang Xiaoqiang
Published: May 2020

In this paper, by analyzing the limitations of the traditional trigonometric elevation method, and on the basis of establishing a mathematical model of trigonometric elevation, a convenient and fast trigonometric elevation method without instrument height and prism height is improved, and the operation steps of the method are introduced in detail. The accuracy analysis was evaluated and the method was applied to actual engineering. The results show that under the premise of ensuring the measurement accuracy, this method not only reduces the range of measurement error sources, but also improves the measurement efficiency.
Multi-proxy records of Holocene fluvio-lacustrine sediments in the southern Liaodong Peninsula, China
Authors: Ruifeng Ma , Wei Zhang , Chanyu Yang
Published: May 2020

The Liaodong Peninsula is located in the present Asian summer monsoon (ASM) area and has frequent land-sea interactions that make it sensitive to climate change. Terrestrial sediments can continuously record climate change with high resolution. The range and time of the East Asian summer monsoon (EASM), the main Holocene climate change driver, can be better explained by the change in the sedimentary environment in the region. This paper presents the chronology, sedimentology and geochemistry of the Holocene fluvio-lacustrine sediments in the Paozi basin south of Liaodong Peninsula, China. The multi-agent records show that the temperature and humidity are slightly higher from before 5.2ka.cal.BP to warm / wet stage, and the relative transition time from the warmest / wet stage to cold / dry stage is from 5.2ka.cal.BP to 3.5ka.cal.BP. Then, the regional climate shifted to relatively drier and colder conditions after 3.5 ka.cal.BP. Compared with other records near our site, the climate and variations in the water level change of this palaeolake were controlled by the change in the Holocene EASM precipitation, and the insolation-driven temperature co-determined the dynamics. Furthermore, the formation and disappearance of the palaeolake was due to the strengthening and decline in the EASM, respectively.
Research and Application of Soil Solidifying Agent
Authors: Yuping Zhang , Zilong Wang , Yifeng Zheng
Published: May 2020

The curing mechanism and research status of inorganic soil solidifying agent, organic soil solidifying agent, ionic soil solidifying agent, bioenzyme soil solidifying agent and compound soil solidifying agent were reviewed, and the application of soil solidifying agent in water conservancy and road engineering was introduced. Several suggestions are put forward for the problems existing in soil stabilizer.
Study of Pipeline Penetration Based on CEL in Clay
Authors: Jia Li , Tao Liu , Jian Jiang , Zhigang Zheng , Hong Huang
Published: May 2020

In deep water, pipelines are usually laid directly on the seabed. During the laying process, the pipe typically penetrates into the seabed by a fraction of a diameter. The vertical embedment of pipeline and formation of berm during penetration have a significant effect on the pipeline stability. This study aims to investigate the vertical pipeline penetration at uniform and normal consolidated clay, by carrying out a series of numerical analyses, in which the coupled Eulerian-Lagrangian method (CEL) is incorporated to enable large deformation simulation. These analyses have been compared with collapse loads calculated using the theory solution. The results show that the CEL method is very suitable for simulating large-deformation pipesoil interaction.
Resistance mechanisms and resistance reduction of slurry in pipeline
Authors: Yan Bojiao , Li Xueqi , Feng Weihao , Li Guang , Lu Hai
Published: May 2020

Resistance of slurry in pipeline is an important parameter in designing a slurry-conveying pipeline, which affects the cost of transportation of slurry. Therefore, it is of importance to study the resistance mechanisms, and to adopt proper technologies in reducing the resistance of slurry in pipeline. Resistance mechanisms of both fully stratified flow and fully suspended flow were discussed on the basis of analyzing the flow state of slurry in pipeline home and abroad. Technologies of reducing the resistance by adjustingthe sizes of particles, adding resistance reducer and rising temperaturewere summarized considering the influencing factors on resistance of slurry in pipelines.
Study on support optimization of coal roadway with soft and broken surrounding rock
Authors: Li Li
Published: May 2020

With the increase of mining depth, the geological conditions tend to be complex. The problems of high mine pressure and soft and broken surrounding rock are more serious, and the difficulty of support is significantly increased. In this paper, the coal roadway with soft and broken surrounding rock in Shuangliu coal mine was taken as the research object, the model was established by FLAC3D software, the deformation and failure characteristics of the surrounding rock of the roadway were studied, the distribution of the stress and plastic area of the roadway were analyzed, and the problems of the original support scheme were analyzed. Combined with the field investigation and analysis, a variety of optimization schemes were proposed, and the optimal support scheme was obtained through modelling and calculation. The results show that the sidewall and corner of coal roadway are the key parts of support, and strengthening its support strength is conducive to improving the overall stability of the roadway. W-type steel band can be used to connect the rock bolt and anchor cable together to play the role of coupling support, so as to achieve the overall support effect.
Research on Continuous Miner Mining with Backfilling Technology under High Geostress and Complex Conditions
Authors: Tao Du
Published: May 2020

Aiming at the mining seam with large burial depth, strong geostress, large deformation of the roadway, and fast deformation speed, in order to efficiently recover the coal resources at the working face and effectively protect the surface buildings. Based on analyse of the law of the appearance of the underground roadway pressure in the relevant working face, combined with continuous miner mining technology and equipment technical characteristics, this paper proposes to use a combination of continuous miner mining technology and backfilling technology to mine under high geostress geological conditions. And optimize the mining process parameters according to the field application. The results show that the continuous mining miner with backfilling method can achieve the efficient recovery of coal resources under high geostress and complex conditions.
Sintering Mechanism of silicon from K2SiF6-Al
Authors: Pan Zhaoke , Wang Jinhua , Zhang Guizhai
Published: May 2020

In order to clarify the reaction process of Si phase, Differential Scanning Calorimeter (DSC), as the main measurement, was used to prepare Si samples and monitor the sintering reaction process. Combined with X-ray diffraction analysis, the formation process of Si phase was summarized. The reaction between K2SiF6 and Al powders occurred at 580°C, but not completed until 660°C. The whole formation process of Si includes two different stages: One is the solid–solid reaction stage, the other is the solid–liquid reaction stage.
Ultra-short-term Load Forecasting Based on Real-Time Response of Classified Flexible Loads
Authors: Liu Dunnan , Li Pengfei , Xu Xiaofeng , Jin Yiding , Shi Shanzhe , Li Shilin , Han Jinshan
Published: May 2020

Ultra-short-term load forecasting is an important basis for optimization and adjustment of power generation plans and dispatch plans. Based on the radial basis function neural network, the inert load is predicted, and the flexible load is predicted based on the price elasticity of electricity demand. Then, combined with the range of the flexible load, an ultra-short-term forecast interval for the total load is constructed. This paper studies the total load after considering the flexible load for demand response, and verifies the feasibility of the proposed method with an example.