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Article ; Online: Unsupervised Data-Driven Classification of Topological Gapped Systems with Symmetries.

Long, Yang / Zhang, Baile

2023 Volume 130, Issue 3, Page(s) 36601

Abstract: A remarkable breakthrough in topological phase classification is the establishment of the topological periodic table, which is mainly based on the classifying space analysis or K theory, but not based on concrete Hamiltonians that possess finite bands or ...

Abstract	A remarkable breakthrough in topological phase classification is the establishment of the topological periodic table, which is mainly based on the classifying space analysis or K theory, but not based on concrete Hamiltonians that possess finite bands or arise in a lattice. As a result, it is still difficult to identify the topological phase of an arbitrary Hamiltonian; the common practice is, instead, to check the incomplete and still growing list of topological invariants one by one, very often by trial and error. Here, we develop unsupervised classifications of topological gapped systems with symmetries, and demonstrate the data-driven construction of the topological periodic table without a priori knowledge of topological invariants. This unsupervised data-driven strategy can take into account spatial symmetries, and further classify phases that were previously classified as trivial in the past. Our Letter introduces machine learning into topological phase classification and paves the way for intelligent explorations of new phases of topological matter.
Language	English
Publishing date	2023-02-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.130.036601
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Article ; Online: Liraglutide combined with metformin treatment for obese people with type 2 diabetes mellitus: a systematic review and meta-analysis.

Long, Yang / Zhang, Yuxi

Irish journal of medical science

2023 Volume 192, Issue 6, Page(s) 2809–2814

Abstract: Aim: To assess clinical efficacy and safety of liraglutide combined with metformin (LMT) in obese patients with type 2 diabetes (ODP) by conducting a meta-analysis of randomized controlled trials (RCTs).: Methods: PubMed, EMBASE, Cochrane Library, ... ...

Abstract	Aim: To assess clinical efficacy and safety of liraglutide combined with metformin (LMT) in obese patients with type 2 diabetes (ODP) by conducting a meta-analysis of randomized controlled trials (RCTs). Methods: PubMed, EMBASE, Cochrane Library, CNKI, CNKI, and VIP databases were systematically searched for randomized controlled trials (RCTs) through January 1, 2015 to investigate the effectiveness of liraglutide combined with metformin treatment (LMT) in obesity patients with type 2 diabetes (ODP). Meta-analysis (using generic inverse variance random effects model) was performed when there were two or more studies reporting on the same evaluation indicators. Review Manager V.5.3 was used to perform the meta-analysis. Results: A total of 1289 participants from 15 RCTs were selected for the final meta-analysis. A synthesis of current evidence of LMT for treating ODP was provided in this protocol. Conclusion: This review will offer insights for future research and provide reference for LMT treatment for ODP.
MeSH term(s)	Humans ; Metformin/therapeutic use ; Liraglutide/therapeutic use ; Hypoglycemic Agents/therapeutic use ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/drug therapy ; Obesity/complications ; Obesity/drug therapy
Chemical Substances	Metformin (9100L32L2N) ; Liraglutide (839I73S42A) ; Hypoglycemic Agents
Language	English
Publishing date	2023-04-10
Publishing country	Ireland
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	390895-1
ISSN	1863-4362 ; 0021-1265
ISSN (online)	1863-4362
ISSN	0021-1265
DOI	10.1007/s11845-023-03337-2
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Article ; Online: Uncertainty Analysis of Spherical Joint Three-Dimensional Rotation Angle Measurement

Jin Zhang / Qianyun Yang / Long Yang / Penghao Hu

Applied Sciences, Vol 13, Iss 3544, p

2023 Volume 3544

Abstract: A precision spherical joint is a type of spherical motion pair that can realize three degrees of rotation freedom. In this paper, a specific method is used to assess the uncertainty of our measurement system. The measurement system uses the codes and ... ...

Abstract	A precision spherical joint is a type of spherical motion pair that can realize three degrees of rotation freedom. In this paper, a specific method is used to assess the uncertainty of our measurement system. The measurement system uses the codes and eddy current sensor to measure the angle. Different codes are engraved on the surface of the spherical joint. Eddy current sensors are embedded in the spherical socket to detect and recognize the spherical code. The uncertainty of the measurement system hardware and an artificial neural network are studied. Based on the Monte Carlo method, the uncertainty components are evaluated and combined, and the comprehensive uncertainty of the measurement system is obtained. The evaluation results of system measurement uncertainty are verified from specific angles. In the three-axis measurement uncertainty, the minimum is about 2′, and the maximum uncertainty is about 1°. The proposed method can be used to evaluate the uncertainty of other multiple-input multiple-output measurement systems.
Keywords	precision spherical joint ; three-dimensional rotation angle measurement system ; artificial neural network ; Monte Carlo method ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	620
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multistep Wind Power Prediction Using Time-Varying Filtered Empirical Modal Decomposition and Improved Adaptive Sparrow Search Algorithm-Optimized Phase Space Reconstruction–Echo State Network

Chao Tan / Wenrui Tan / Yanjun Shen / Long Yang

Sustainability, Vol 15, Iss 9107, p

2023 Volume 9107

Abstract: Accurate wind power prediction is vital for improving grid stability. In order to improve the accuracy of wind power prediction, in this study, a hybrid prediction model combining time-varying filtered empirical modal decomposition (TVFEMD), improved ... ...

Abstract	Accurate wind power prediction is vital for improving grid stability. In order to improve the accuracy of wind power prediction, in this study, a hybrid prediction model combining time-varying filtered empirical modal decomposition (TVFEMD), improved adaptive sparrow search algorithm (IASSA)-optimized phase space reconstruction (PSR) and echo state network (ESN) methods was proposed. First, the wind power data were decomposed into a set of subsequences by using TVFEMD. Next, PSR was used to construct the corresponding phase space matrix for sequences, which were then divided into training sets, validation sets, and testing sets. Then, ESN was used for subsequence prediction. Finally, the predicted values of all the subseries were used to determine the final predicted power. To enhance the model performance, the sparrow search algorithm was improved in terms of the discoverer position update strategy, the follower position update strategy, and the population structure. IASSA was employed to synchronously optimize multiple parameters of PSR-ESN. The results revealed that the proposed model has higher applicability and prediction accuracy than existing models.
Keywords	wind power prediction ; time-varying filtering empirical modal decomposition ; echo state network ; sparrow search algorithm ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: NUMERICAL SIMULATION OF AIR FLOW FIELD AND TEMPERATURE FIELD IN A VERTICAL WALL ATTACHED JET VENTILATED GOSLING HOUSE IN COLD REGION

Long Yang / Heng yan Xie / Shu hui Deng

Engenharia Agrícola, Vol 43, Iss

2023 Volume 5

Abstract: ABSTRACT The vertical wall attached jet ventilation has the advantages of good air supply quality, low energy consumption and uniform air distribution, which can improve the environmental quality, reduce heating energy consumption and increase the ... ...

Abstract	ABSTRACT The vertical wall attached jet ventilation has the advantages of good air supply quality, low energy consumption and uniform air distribution, which can improve the environmental quality, reduce heating energy consumption and increase the healthy brood rate when applied to the gosling house in cold region. In order to investigate the distribution of the air flow field and the temperature field in the gosling barn by the computational fluid dynamics method, the three-dimensional steady state simulation of the air flow field and the temperature field is carried out in this study. The results show that the maximum air velocity in the living area of goslings exceeds 0.5m/s when the air supply velocity is greater than 1.8m/s, and goslings feel blowing. When the air supply velocity is lower than 0.8m/s, the average air velocity in the gosling living area is lower than 0.2m/s, and the ventilation is insufficient. When the air supply velocity v=1.5m/s and temperature t=305.15k, the average air velocity in the gosling living area was 0.40m/s, the average temperature was 305.20k, the horizontal sticking range of the air supply air was 7.0m, the Air Diffusion Performance Index of the gosling house was 100%. Ventilation is the best.
Keywords	air diffusion performance index ; air supply velocity ; CFD ; air pool ; air supply temperature ; Agriculture (General) ; S1-972
Subject code	690
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Sociedade Brasileira de Engenharia Agrícola
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of Sewage Treatment Plant Effluent on Water Quality of Zhangze Reservoir Based on EFDC Model

Long Yang / Jia Wei / Jun Qi / Min Zhang

Frontiers in Environmental Science, Vol

2022 Volume 10

Abstract: Understanding how external water affects the water quality of target water bodies is an important prerequisite for predicting water quality changes and formulating pollutant reduction plans. Using the EFDC modeling system platform, this study constructed ...

Abstract	Understanding how external water affects the water quality of target water bodies is an important prerequisite for predicting water quality changes and formulating pollutant reduction plans. Using the EFDC modeling system platform, this study constructed the hydrodynamic and pollutant dispersion and diffusion models of Zhangze Reservoir, and by using the hydrology and water quality data from 2013 to 2018, this study examines the different water quality responses of Zhangze Reservoir under different inflow water control scenarios. The results show that the simulated value of the hydrological station is basically consistent with the measured value of the hydrological station. Under the current Class III water quality requirements for Zhangze Reservoir, direct inflow of effluent from the wastewater treatment plant of the main urban area into the reservoir will have a significant impact on the water quality. When the effluent is purified through constructed wetlands, it significantly improves the water quality of the reservoir, but the concentration of TN and TP still cannot reach the Class III standard in the short term,. When all rivers entering the reservoir meet the standard and the effluent from the wastewater treatment plant in the main urban area does not enter the reservoir, the content of COD, ammonia nitrogen and TP in water will reach the Class III standard, but reducing the TN content to meet the standard requirement will be difficult within 3 years.
Keywords	EFDC model ; water quality ; simulation ; sewage treatment plant ; zhangze reservoir ; Environmental sciences ; GE1-350
Subject code	550
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Water-Soluble Core for Manufacturing Hollow Injection-Molded Products

Chung-Chih Lin / Chao-Long Yang

Polymers, Vol 14, Iss 2185, p

2022 Volume 2185

Abstract: To manufacture a complicated hollow product without any assembly process, for example, the plastic intake manifold, is difficult by the traditional injection molding method. The fusible-core technique, which uses a low-melting-point alloy as a ... ...

Abstract	To manufacture a complicated hollow product without any assembly process, for example, the plastic intake manifold, is difficult by the traditional injection molding method. The fusible-core technique, which uses a low-melting-point alloy as a sacrificial core, was developed to solve this problem; however, the limited selection of resin type and the huge capital investment have caused this technique to spread slowly. In this work, a novel method is established that can produce similar products without the limitation of resin type, as well as a lower-energy-consumption process. The concept of the enveloped core defined by a water-soluble core assembled with a shell is proposed herein; it provides both rigidity and toughness to resist the pressure during the injection molding process. The shape of the enveloped core equals the internal contour of the designated product. An insert molding process was introduced to cover the enveloped core with a skin layer. Cut out the end of the enveloped core and immerse it into a water bath. When the water-soluble core inside the shell is dissolved, the product with a special internal contour is accomplished. A tee-joint is presented to demonstrate how the proposed method can be utilized. The optimal ingredient of the core and processing parameters are determined by the Taguchi method. The result shows that the proposed product is molded successfully when the compressive strength of the core is larger than 2 MPa. In addition, the eccentricity measurement of internal contour of the optimal sample exhibits a 56% improvement, and the required time for the core removal is less than 154 s.
Keywords	injection molding ; water-soluble core ; insert molding ; Taguchi method ; Organic chemistry ; QD241-441
Subject code	670
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph

Long Yang / Li-Ping Li / Hai-Cheng Yi

BMC Bioinformatics, Vol 22, Iss S12, Pp 1-

2022 Volume 16

Abstract: Abstract Background Long non-coding RNAs (lncRNAs) play a crucial role in diverse biological processes and have been confirmed to be concerned with various diseases. Largely uncharacterized of the physiological role and functions of lncRNA remains. ... ...

Abstract	Abstract Background Long non-coding RNAs (lncRNAs) play a crucial role in diverse biological processes and have been confirmed to be concerned with various diseases. Largely uncharacterized of the physiological role and functions of lncRNA remains. MicroRNAs (miRNAs), which are usually 20–24 nucleotides, have several critical regulatory parts in cells. LncRNA can be regarded as a sponge to adsorb miRNA and indirectly regulate transcription and translation. Thus, the identification of lncRNA-miRNA associations is essential and valuable. Results In our work, we present DWLMI to infer the potential associations between lncRNAs and miRNAs by representing them as vectors via a lncRNA-miRNA-disease-protein-drug graph. Specifically, DeepWalk can be used to learn the behavior representation of vertices. The methods of fingerprint, k-mer and MeSH descriptors were mainly used to learn the attribute representation of vertices. By combining the above two kinds of information, unknown lncRNA-miRNA associations can be predicted by the random forest classifier. Under the five-fold cross-validation, the proposed DWLMI model obtained an average prediction accuracy of 95.22% with a sensitivity of 94.35% at the AUC of 98.56%. Conclusions The experimental results demonstrated that DWLMI can effectively predict the potential lncRNA-miRNA associated pairs, and the results can provide a new insight for related non-coding RNA researchers in the field of combing biology big data with deep learning.
Keywords	DeepWalk ; LncRNA ; miRNA ; Random forest ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Pollution Load Estimation and Control Countermeasures of Zhangze Reservoir

Long Yang / Min Zhang / Jia Wei / Jun Qi

Frontiers in Environmental Science, Vol

2022 Volume 10

Abstract: Raising the water pollution control countermeasures on the basis of rational pollution load estimation is significant for improving water quality. Zhangze Reservoir, the largest water body in Changzhi city, China, was selected for this study. Considering ...

Abstract	Raising the water pollution control countermeasures on the basis of rational pollution load estimation is significant for improving water quality. Zhangze Reservoir, the largest water body in Changzhi city, China, was selected for this study. Considering the information constraints of the reservoir basin, the pollution load estimation method system covering point sources, non-point sources, and internal sources is systematically constructed using an export coefficient model, an sediment pore water diffusion model, and other methods, with the aim of estimating the discharge of pollutants into the Zhangze Reservoir from domestic sources, industrial sources, agricultural sources, sediment release, and urban runoff. The findings indicate the following: 1) the pollution loads of COD, NH3-N, TN, and TP are 3,157.82t, 177.62t, 760.72t, and 42.29t, respectively; 2) in terms of the distribution of pollution sources, urban domestic sources top the rest, accounting for 65.47% of COD, 82.83% of NH3-N, 79.00% of TN, and 60.65% of TP, followed by the agricultural source; 3) the total discharge of the main water pollutants exceeds the water environmental capacity, characterized as the dominating existence of domestic point source, the coexistence of point sources and non-point sources, and the coexistence of exogenous sources and endogenous sources. Finally, control countermeasures are raised to minimize the total discharge of pollutants for improving the water quality.
Keywords	water pollution source ; pollution load ; control countermeasures ; export coefficient model ; Zhangze Reservoir ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: How Does Social Class Affect Need for Structure during the COVID-19 Pandemic? A Moderated Mediating Model Analysis

Ting-Ting Rao / Shen-Long Yang / Xiaowen Zhu

International Journal of Environmental Research and Public Health, Vol 19, Iss 932, p

2022 Volume 932

Abstract: The COVID-19 pandemic is profoundly affecting the minds and behaviors of people worldwide. This study investigated the differences in the need for structure among people from different social classes and the psychological mechanisms underlying this need, ...

Abstract	The COVID-19 pandemic is profoundly affecting the minds and behaviors of people worldwide. This study investigated the differences in the need for structure among people from different social classes and the psychological mechanisms underlying this need, as well as the moderating effect of the threat posed by the pandemic. Using data collected from non-student adults in China, we found that the lower an individual’s social class, the lower their need for structure, and this effect was based on the mediating role of perceived control. However, the mediating effect was moderated by pandemic threat, and the above relationship existed only when this threat was low. When the level of pandemic threat was higher, neither the effect of social class nor of perceived control on the need for structure were significant. Specifically, in higher-threat situations, the need for structure among individuals from higher social classes and who had a higher sense of control increased significantly, meaning the mediating effect was no longer significant. This finding showed that under the threat of a pandemic, individuals who have a lower need for structure will still pursue and prefer structure and order. The theoretical and practical implications of the research are also discussed.
Keywords	need for structure ; compensatory control ; social class ; COVID-19 ; Medicine ; R
Subject code	150
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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