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Article: Unpacking boredom factors of Chinese foreign language major students in translation classes: A sequential mixed methods study.

Zhang, Tingyu

2022 Volume 13, Page(s) 895223

Abstract: Though largely ignored by educators and researchers, boredom, an aversive emotion, is the hurdle for many translation learners to be professional. It is all the more important to unpack the boredom factors of Chinese foreign language major students in ... ...

Abstract	Though largely ignored by educators and researchers, boredom, an aversive emotion, is the hurdle for many translation learners to be professional. It is all the more important to unpack the boredom factors of Chinese foreign language major students in translation classes, which will serve in promoting students' engagement in L2 classes and translator cultivation. By using a sequential mixed approach, this study conducted a thematic analysis and built a structural equation model. Quantitative data were gleaned from 483 foreign major college students in China and qualitative data were selected from students (
Language	English
Publishing date	2022-09-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.895223
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Extracorporeal shock wave therapy for shoulder pain after stroke: A systematic review and meta-analysis.

Zhang, Tingyu / Zhang, Cai

Clinical rehabilitation

2023 Volume 37, Issue 6, Page(s) 774–790

Abstract: Objective: To systematically review the effects of extracorporeal shock wave therapy (ESWT) for shoulder pain after stroke.: Data sources: A systematic review of Cochrane Central Register of Controlled Trials (CENTRAL), Embase, PubMed, Web of Science, ...

Abstract	Objective: To systematically review the effects of extracorporeal shock wave therapy (ESWT) for shoulder pain after stroke. Data sources: A systematic review of Cochrane Central Register of Controlled Trials (CENTRAL), Embase, PubMed, Web of Science, CNKI, SinoMed, WanFang Data, VIP, and ClinicalTrials.gov from the establishment of the database to 20 December 2022 was carried out. Review methods: The bibliography was screened to identify randomized controlled trials (RCTs) that applied extracorporeal shock waves to shoulder pain after stroke. Two researchers independently searched, screened, and extracted data from each database according to the search strategy and resolved any disagreements through negotiation. Results: A total of 18 RCTs were included (1248 individuals). Meta-analysis showed that the ESWT group had better visual analogue scale (VAS) scores (mean difference (MD) = - 1.19, 95% confidence interval (CI) [ - 1.43, - 0.95], Conclusion: The ESWT improves pain levels, motor function, active mobility, comprehensive function of shoulder, and activities of daily living (ADL) better than conventional treatment in patients with shoulder pain after stroke.
MeSH term(s)	Humans ; Extracorporeal Shockwave Therapy ; Shoulder Pain/diagnosis ; Shoulder Pain/etiology ; Shoulder Pain/therapy ; Stroke ; Physical Therapy Modalities ; Activities of Daily Living
Language	English
Publishing date	2023-01-22
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	639276-3
ISSN	1477-0873 ; 0269-2155
ISSN (online)	1477-0873
ISSN	0269-2155
DOI	10.1177/02692155231152134
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analysis of spatial and temporal changes and driving forces of arable land in the Weibei dry plateau region in China.

Zhang, Panpan / Xia, Liheng / Sun, Zenghui / Zhang, Tingyu

Scientific reports

2023 Volume 13, Issue 1, Page(s) 20618

Abstract: Arable land is the lifeblood of food production, it is of great significance to promote the protection of arable land and ensure national food security by accurately understanding the change law of cultivated land and its driving mechanism. This study ... ...

Abstract	Arable land is the lifeblood of food production, it is of great significance to promote the protection of arable land and ensure national food security by accurately understanding the change law of cultivated land and its driving mechanism. This study takes the Weibei dry plateau region of China as an example, explores its spatial and temporal change characteristics through the center of gravity shift and land use shift matrix, and couples the geographic probe model to reveal the driving mechanisms affecting arable land change. The results show that in the past 25 years, the total arable land area in the Weibei Dry Plateau Region of China has decreased by 5.58%, and the stability of arable land resources in the whole region has weakened. The center of gravity of arable land shifts to the northeast, and the standard deviation ellipse of arable land mainly undergoes the change process of "increase (1995-2015)-decrease (2015-2020)", and the spatial distribution of arable land tends to be dispersed. In the LISA frequency mapping, the proportion of stable constant and low-frequency areas is as high as 89.58%, and the spatial pattern of cultivated land is relatively stable. Medium and high frequency areas. The transformation mode is mainly "low-low" aggregation, "low-high" aggregation is not significant, and the decline of cultivated land in the study area is more obvious. In the past 25 years, a total of 1017.26 km
Language	English
Publishing date	2023-11-23
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-43822-3
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Article ; Online: Boosting 3D Object Detection with Density-Aware Semantics-Augmented Set Abstraction.

Zhang, Tingyu / Wang, Jian / Yang, Xinyu

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 12

Abstract: In recent years, point cloud-based 3D object detection has seen tremendous success. Previous point-based methods use Set Abstraction (SA) to sample the key points and abstract their features, which did not fully take density variation into consideration ... ...

Abstract	In recent years, point cloud-based 3D object detection has seen tremendous success. Previous point-based methods use Set Abstraction (SA) to sample the key points and abstract their features, which did not fully take density variation into consideration in point sampling and feature extraction. The SA module can be split into three parts: point sampling, grouping and feature extraction. Previous sampling methods focus more on distances among points in Euclidean space or feature space, ignoring the point density, thus making it more likely to sample points in Ground Truth (GT) containing dense points. Furthermore, the feature extraction module takes the relative coordinates and point features as input, while raw point coordinates can represent more informative attributes, i.e., point density and direction angle. So, this paper proposes Density-aware Semantics-Augmented Set Abstraction (DSASA) for solving the above two issues, which takes a deep look at the point density in the sampling process and enhances point features using onefold raw point coordinates. We conduct the experiments on the KITTI dataset and verify the superiority of DSASA.
MeSH term(s)	Semantics ; Awareness
Language	English
Publishing date	2023-06-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23125757
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine.

Zhang, Peng / Zhang, Dingfan / Zhou, Wuai / Wang, Lan / Wang, Boyang / Zhang, Tingyu / Li, Shao

Briefings in bioinformatics

2024 Volume 25, Issue 1

Abstract: Network pharmacology (NP) provides a new methodological perspective for understanding traditional medicine from a holistic perspective, giving rise to frontiers such as traditional Chinese medicine network pharmacology (TCM-NP). With the development of ... ...

Abstract	Network pharmacology (NP) provides a new methodological perspective for understanding traditional medicine from a holistic perspective, giving rise to frontiers such as traditional Chinese medicine network pharmacology (TCM-NP). With the development of artificial intelligence (AI) technology, it is key for NP to develop network-based AI methods to reveal the treatment mechanism of complex diseases from massive omics data. In this review, focusing on the TCM-NP, we summarize involved AI methods into three categories: network relationship mining, network target positioning and network target navigating, and present the typical application of TCM-NP in uncovering biological basis and clinical value of Cold/Hot syndromes. Collectively, our review provides researchers with an innovative overview of the methodological progress of NP and its application in TCM from the AI perspective.
MeSH term(s)	Humans ; Medicine, Chinese Traditional ; Artificial Intelligence ; Network Pharmacology ; Research Personnel
Language	English
Publishing date	2024-01-09
Publishing country	England
Document type	Review ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2068142-2
ISSN	1477-4054 ; 1467-5463
ISSN (online)	1477-4054
ISSN	1467-5463
DOI	10.1093/bib/bbad518
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 6262: Show issues

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Article ; Online: GIS-based non-grain cultivated land susceptibility prediction using data mining methods.

Hao, Qili / Zhang, Tingyu / Cheng, Xiaohui / He, Peng / Zhu, Xiankui / Chen, Yao

Scientific reports

2024 Volume 14, Issue 1, Page(s) 4433

Abstract: The purpose of the present study is to predict and draw up non-grain cultivated land (NCL) susceptibility map based on optimized Extreme Gradient Boosting (XGBoost) model using the Particle Swarm Optimization (PSO) metaheuristic algorithm. In order to, a ...

Abstract	The purpose of the present study is to predict and draw up non-grain cultivated land (NCL) susceptibility map based on optimized Extreme Gradient Boosting (XGBoost) model using the Particle Swarm Optimization (PSO) metaheuristic algorithm. In order to, a total of 184 NCL areas were identified based on historical records, and a total of 16 NCL susceptibility conditioning factors (NCLSCFs) were considered, based on both a systematic literature survey and local environmental conditions. The results showed that the XGBoost model optimized by PSO performed well in comparison to other machine learning algorithms; the values of sensitivity, specificity, PPV, NPV, and AUC are 0.93, 0.89, 0.88, 0.93, and 0.96, respectively. Slope, rainfall, fault density, distance from fault and drainage density are most important variables. According to the results of this study, the use of meta-innovative algorithms such as PSO can greatly enhance the ability of machine learning models.
Language	English
Publishing date	2024-02-23
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-55002-y
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Article: A simple and efficient strategy to produce transgene-free gene edited plants in one generation using paraquat resistant 1 as a selection marker.

Kong, Xiangjiu / Pan, Wenbo / Zhang, Tingyu / Liu, Lijing / Zhang, Huawei

Frontiers in plant science

2023 Volume 13, Page(s) 1051991

Abstract: Introduction: DNA integration is a key factor limiting the marketing of CRISPR/Cas9-mediated gene edited crops. Several strategies have been established to obtain transgene-free gene edited plants; however, these strategies are usually time-consuming, ... ...

Abstract	Introduction: DNA integration is a key factor limiting the marketing of CRISPR/Cas9-mediated gene edited crops. Several strategies have been established to obtain transgene-free gene edited plants; however, these strategies are usually time-consuming, technically difficult, providing low mutagenesis efficiency, and/or including a narrow host range. Method: To overcome such issues, we established a paraquat resistant 1 (PAR1)-based positive screening (PARS) strategy, which achieved efficient screening of transgene-free gene edited plants. Results: With PARS, the screening efficiency of mutant increased by 2.81-fold on average, and approximately 10% of T1 plants selected via PARS were transgenefree. Moreover, heritable transgene-free mutations at target loci were identified in the T1 generation. Discussion: Based on the previous reports and our data, we know that paraquat is toxic to all green plants, PAR1 is conserved among all plant species tested, and the transient expression of Cas9 editor can produce transgene-free gene edited plants. Thus, we assume that the PARS strategy established here has the potential to be widely used to screen transgene-free mutants in various crops using diverse CRISPR/Cas9 delivery approaches.
Language	English
Publishing date	2023-01-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2022.1051991
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Botrytis cinerea-induced F-box protein 1 enhances disease resistance by inhibiting JAO/JOX-mediated jasmonic acid catabolism in Arabidopsis.

Zhang, Min / Li, Weiwei / Zhang, Tingyu / Liu, Yueyan / Liu, Lijing

Molecular plant

2023 Volume 17, Issue 2, Page(s) 297–311

Abstract: Jasmonic acid (JA) is a crucial phytohormone that regulates plant immunity. The endogenous JA level is determined by the rates of its biosynthesis and catabolism in plants. The activation of JA biosynthesis has been well documented; however, how plants ... ...

Abstract	Jasmonic acid (JA) is a crucial phytohormone that regulates plant immunity. The endogenous JA level is determined by the rates of its biosynthesis and catabolism in plants. The activation of JA biosynthesis has been well documented; however, how plants repress JA catabolism upon pathogen infection remains elusive. In this study, we identified and characterized Botrytis cinerea-induced F-box protein 1 (BFP1) in Arabidopsis. The expression of BFP1 was induced by B. cinerea in a JA signaling-dependent manner, and BFP1 protein was critical for plant defense against B. cinerea and plant response to JA. In addition, BFP1 overexpression increased plant defenses against broad-spectrum pathogens without fitness costs. Further experiments demonstrated that BFP1 interacts with and mediates the ubiquitination and degradation of jasmonic acid oxidases (JAOs, also known as jasmonate-induced oxygenases, JOXs), the enzymes that hydroxylate JA to 12OH-JA. Consistent with this, BFP1 affects the accumulation of JA and 12OH-JA during B. cinerea infection. Moreover, mutation of JAO2 complemented the phenotypes of the bfp1 mutant. Collectively, our results unveil a new mechanism used by plants to activate immune responses upon pathogen infection: suppressing JA catabolism.
MeSH term(s)	Arabidopsis/metabolism ; Disease Resistance ; Arabidopsis Proteins/metabolism ; Oxylipins/metabolism ; Cyclopentanes/metabolism ; Botrytis/physiology ; Plant Diseases ; Gene Expression Regulation, Plant ; Salicylic Acid/metabolism
Chemical Substances	jasmonic acid (6RI5N05OWW) ; Arabidopsis Proteins ; Oxylipins ; Cyclopentanes ; Salicylic Acid (O414PZ4LPZ)
Language	English
Publishing date	2023-12-28
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2393618-6
ISSN	1752-9867 ; 1674-2052
ISSN (online)	1752-9867
ISSN	1674-2052
DOI	10.1016/j.molp.2023.12.020
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Effects of vegetation spatial pattern on erosion and sediment particle sorting in the loess convex hillslope.

Su, Yuanyi / Zhang, Yang / Wang, Huanyuan / Zhang, Tingyu

Scientific reports

2022 Volume 12, Issue 1, Page(s) 14187

Abstract: To address the problem of serious soil erosion on the Loess Plateau, under the conditions of limited vegetation measures, the runoff erosion characteristics and erosion sediment sorting characteristics of vegetation at different positions on the upper ... ...

Abstract	To address the problem of serious soil erosion on the Loess Plateau, under the conditions of limited vegetation measures, the runoff erosion characteristics and erosion sediment sorting characteristics of vegetation at different positions on the upper slope of convex hillslopes are investigated, and the optimal vegetation spatial pattern is proposed according to the benefits of water storage and sediment reduction at different vegetation positions. The fluctuation degree of flow discharge per unit area of different vegetation spatial patterns is small, and the variation process of sediment discharge per unit area of each vegetation spatial pattern fluctuated sharply with the increase of runoff time. After planting vegetation on the slope, the total runoff yield and sediment yield were reduced. The runoff yield reduction benefit was 19.65% when the grass belt was 6 m away from the slope top; and the sediment yield reduction benefit was more than 70% when the grass belt was 2 m away from the slope top. Under the condition of hydraulic erosion on the slope covered with vegetation, the erosion particles are mainly fine particles, with high silt content and relatively small sand content. The farther the vegetation is arranged from the slope top, the more easily silt of size 0.002-0.05 mm is eroded. The higher effectiveness in terms of reductions of both runoff and sediment yields were obtained when the vegetation is planted in the proximity of the end of the length of the slope.
MeSH term(s)	China ; Geologic Sediments ; Plants ; Rain ; Soil ; Water ; Water Movements
Chemical Substances	Soil ; Water (059QF0KO0R)
Language	English
Publishing date	2022-08-19
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-17975-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The Psychological Impact of Smog Pollution on Investors.

Li, Bin / Liu, Yang / Zhang, Tingyu / Wang, Yijing

Frontiers in psychology

2022 Volume 13, Page(s) 803336

Abstract: This research empirically analyzes the psychological impact of smog pollution on investors. Results indicate that smog pollution has negative impact on investor sentiment which is weakened by the positive tone in media reporting. Empirical evidence for ... ...

Abstract	This research empirically analyzes the psychological impact of smog pollution on investors. Results indicate that smog pollution has negative impact on investor sentiment which is weakened by the positive tone in media reporting. Empirical evidence for the impact of smog pollution on investor sentiment and the related moderating role of media tone is presented in this study.
Language	English
Publishing date	2022-02-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.803336
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