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Article: Higher education students perceptions of NNESTs' language proficiency: will it affect their learning effectiveness?

Bing, Xiaoyi / Gao, Xiaoqing / Yang, Zhen

2023 Volume 14, Page(s) 1106066

Abstract: Increasingly, higher education institutions are giving more attention to the language proficiency of non-native English-speaking teachers (NNESTs) due to their growing numbers. Despite a recent surge in the literature on NNESTs in the global discourse of ...

Abstract	Increasingly, higher education institutions are giving more attention to the language proficiency of non-native English-speaking teachers (NNESTs) due to their growing numbers. Despite a recent surge in the literature on NNESTs in the global discourse of English language teaching (ELT), the impacts of NNESTs' language competency within the higher education systems of their countries remain woefully under-examined. Of particular concern is the absence of students' voices. Therefore, this study explores higher education students' perception of NNESTs' language proficiency. Data was collected through class observations of five NNESTs and followed-up semi-structured interviews with five student focus groups recruited randomly from each class. Our results show that while students concur that NNESTs' language proficiency contributes to their learning performance in class, other factors (e.g., the teacher's effective teaching style and charming personality, relaxed class atmosphere, the difficulty level of the teaching materials, and the learners' proficiency level) also perceived to play key roles in boosting students' class learning effectiveness. The findings highlight the need to include students in the design of teaching approaches, course design, and curricula, as well as the reflection process about NNESTs' language proficiency.
Language	English
Publishing date	2023-07-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2023.1106066
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Transcriptomic responses of the liver of mandarin fish (Siniperca chuatsi) under hypoxic stress.

Ding, Weidong / Cao, Liping / Cao, Zheming / Bing, Xuwen

Journal of fish biology

2023 Volume 103, Issue 1, Page(s) 44–58

Abstract: Environmental hypoxia is becoming more prevalent in aquatic environments of mandarin fish (Siniperca chuatsi) aquaculture because of eutrophication and climate change. Little information is available on the molecular mechanisms of the detrimental effects ...

Abstract	Environmental hypoxia is becoming more prevalent in aquatic environments of mandarin fish (Siniperca chuatsi) aquaculture because of eutrophication and climate change. Little information is available on the molecular mechanisms of the detrimental effects of hypoxia in this species. In this study, the authors assembled a transcriptome for mandarin fish exposed to lower oxygen conditions at different times (24 and 96 h). The antioxidant enzymatic activities of catalase, glutathione, superoxide dismutase, glutamic pyruvic transaminase and malondialdehyde significantly increased at 6 or 12 h but decreased after reaching a climax during 96 h hypoxia stress. The gene ontology study revealed 27,616 transcripts, whereas the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed 25 linked pathways. Significant changes in the expression of certain genes involved in protein processing in the endoplasmic reticulum, the calcium signalling system and inositol phosphate metabolism were discovered using the KEGG pathway analysis. In the liver, 97 genes were differentially expressed between the control and experimental groups. The expression level of 28 differentially expressed genes (DEGs) under different hypoxic stress conditions was detected using real-time PCR and compared to transcriptome sequencing results. The result showed that some genes in the experimental group associated with hypoxic stress, such as hif, ho-1a, ho-1b, igfbp1, hsp90α and hsp90 β, were significantly upregulated compared with those in the control group. The large amount of transcriptome data from this research has enlarged the mandarin fish gene and genome bioinformation. The identified DEGs and pathways are useful in further studies of biological responses to hypoxia.
MeSH term(s)	Animals ; Transcriptome ; Gene Expression Profiling ; Fishes ; Hypoxia/genetics ; Liver
Language	English
Publishing date	2023-05-08
Publishing country	England
Document type	Journal Article
ZDB-ID	410564-3
ISSN	1095-8649 ; 0022-1112
ISSN (online)	1095-8649
ISSN	0022-1112
DOI	10.1111/jfb.15399
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Article: A hierarchical hub location model for the integrated design of urban and rural logistics networks under demand uncertainty.

Li, Zhi-Chun / Bing, Xue / Fu, Xiaowen

Annals of operations research

2023 , Page(s) 1–22

Abstract: This paper contributes to the integrated design issue of urban and rural logistics networks under demand uncertainty. A hierarchical hub location model is proposed, which minimizes the expected total system cost by optimizing the locations, number and ... ...

Abstract	This paper contributes to the integrated design issue of urban and rural logistics networks under demand uncertainty. A hierarchical hub location model is proposed, which minimizes the expected total system cost by optimizing the locations, number and capacities of "urban-town‒village" hierarchical logistics hubs. The interactions among the logistics hubs and among the hub‒and‒spoke connections, as well as the hub capacity constraints are explicitly considered in the presence of logistics demand uncertainty. A demand scenario‒based branch‒and‒Benders‒cut algorithm is developed to solve the proposed model. A case study of Jiangling urban‒rural region in Hubei province of China is conducted for the illustration of the model and solution algorithm. The results generated by the proposed algorithm are benchmarked against those obtained by GUROBI solver and the practical scheme being currently implemented in the region. The results showed that the proposed methodology can greatly improve the efficiency of the urban‒rural logistics system in terms of expected total system cost. It is important to explicitly model the demand uncertainty, otherwise a significant decision bias may emerge. The proposed algorithm outperforms the GUROBI solver in terms of problem size solved and computational time.
Language	English
Publishing date	2023-02-07
Publishing country	United States
Document type	Journal Article
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-023-05189-6
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Article ; Online: Toxicity of antimony to Daphnia magna: Influence of environmental factors, development of biotic ligand approach and biochemical response at environmental relevant concentrations.

Li, Yue / Li, Huixian / Zhang, Ruiqing / Bing, Xiaojie

Journal of hazardous materials

2023 Volume 462, Page(s) 132738

Abstract: Acute toxicity of antimony pentavalent to neonatal Daphnia magna and the influence of water quality parameters were investigated, and enzymatic activities of organisms at environmentally relevant levels of antimony were determined. ... ...

Abstract	Acute toxicity of antimony pentavalent to neonatal Daphnia magna and the influence of water quality parameters were investigated, and enzymatic activities of organisms at environmentally relevant levels of antimony were determined. EC
MeSH term(s)	Animals ; Models, Biological ; Daphnia ; Antimony/toxicity ; Ligands ; Cations/pharmacology ; Water Pollutants, Chemical/toxicity
Chemical Substances	Antimony (9IT35J3UV3) ; Ligands ; Cations ; Water Pollutants, Chemical
Language	English
Publishing date	2023-10-06
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1491302-1
ISSN	1873-3336 ; 0304-3894
ISSN (online)	1873-3336
ISSN	0304-3894
DOI	10.1016/j.jhazmat.2023.132738
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Article ; Online: Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma.

Wang, Ning / Bing, Xue / Li, Yuhan / Yao, Jian / Dai, Zhengjun / Yu, Dexin / Ouyang, Aimei

Medicine

2024 Volume 103, Issue 10, Page(s) e37288

Abstract: Introduction: Clear cell renal cell carcinoma (ccRCC) is the most lethal subtype of renal cell carcinoma with a high invasive potential. Radiomics has attracted much attention in predicting the preoperative T-staging and nuclear grade of ccRCC.: ... ...

Abstract	Introduction: Clear cell renal cell carcinoma (ccRCC) is the most lethal subtype of renal cell carcinoma with a high invasive potential. Radiomics has attracted much attention in predicting the preoperative T-staging and nuclear grade of ccRCC. Objective: The objective was to evaluate the efficacy of dual-energy computed tomography (DECT) radiomics in predicting ccRCC grade and T-stage while optimizing the models. Methods: 200 ccRCC patients underwent preoperative DECT scanning and were randomized into training and validation cohorts. Radiomics models based on 70 KeV, 100 KeV, 150 KeV, iodine-based material decomposition images (IMDI), virtual noncontrasted images (VNC), mixed energy images (MEI) and MEI + IMDI were established for grading and T-staging. Receiver operating characteristic analysis and decision curve analysis (DCA) were performed. The area under the curve (AUC) values were compared using Delong test. Results: For grading, the AUC values of these models ranged from 0.64 to 0.97 during training and from 0.54 to 0.72 during validation. In the validation cohort, the performance of MEI + IMDI model was optimal, with an AUC of 0.72, sensitivity of 0.71, and specificity of 0.70. The AUC value for the 70 KeV model was higher than those for the 100 KeV, 150 KeV, and MEI models. For T-staging, these models achieved AUC values of 0.83 to 1.00 in training and 0.59 to 0.82 in validation. The validation cohort demonstrated AUCs of 0.82 and 0.70, sensitivities of 0.71 and 0.71, and specificities of 0.80 and 0.60 for the MEI + IMDI and IMDI models, respectively. In terms of grading and T-staging, the MEI + IMDI model had the highest AUC in validation, with IMDI coming in second. There were statistically significant differences between the MEI + IMDI model and the 70 KeV, 100 KeV, 150 KeV, MEI, and VNC models in terms of grading (P < .05) and staging (P ≤ .001). DCA showed that both MEI + IDMI and IDMI models outperformed other models in predicting grade and stage of ccRCC. Conclusions: DECT radiomics models were helpful in grading and T-staging of ccRCC. The combined model of MEI + IMDI achieved favorable results.
MeSH term(s)	Humans ; Carcinoma, Renal Cell/diagnostic imaging ; Carcinoma, Renal Cell/pathology ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/pathology ; Radiomics ; Tomography, X-Ray Computed/methods ; ROC Curve ; Retrospective Studies
Language	English
Publishing date	2024-03-08
Publishing country	United States
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000037288
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Thesis ; Online: Sustainable reverse logistics for household plastic waste

Bing, X.

2014

Abstract: Summary of the thesis titled “Sustainable Reverse Logistics for Household Plastic Waste” PhD Candidate: Xiaoyun Bing Recycled plastic can be used in the manufacturing of plastic products to reduce the use of virgin plastics material. The cost of recycled ...

Abstract	Summary of the thesis titled “Sustainable Reverse Logistics for Household Plastic Waste” PhD Candidate: Xiaoyun Bing Recycled plastic can be used in the manufacturing of plastic products to reduce the use of virgin plastics material. The cost of recycled plastics is usually lower than that of virgin plastics. Therefore, it is environmentally and economically beneficial to improve the plastic recycling system to ensure more plastic waste from households is properly collected and processed for recycling. Plastic waste has a complex composition and is polluted, thus requires a substantial technical effort to separate the plastics from the waste and to sort these into recyclable materials. There are several alternatives in the existing collection methods (curb-side and drop-off) and separation methods (source separation and post-separation). It is challenging to select a suitable combination of these methods and to design a network that is efficient and sustainable. It is necessary to build a suitable, efficient and sustainable recycling network from collection to the final processor in order to provide solutions for different future scenarios of plastics household waste recycling. Decision support is needed in order to redesign the plastic waste reverse logistics so that the plastic waste recycling supply chain can be improved towards a more sustainable direction. To improve the efficiency in the recycling of plastic packaging waste, insights are required into this complex system. Insights solely on a municipal level are not sufficient, as the processing and end market are important for a complete network configuration. Therefore, we have investigated the problem at three levels: municipal, regional, and global. Decision support systems are developed based on optimization techniques to explore the power of mathematical modelling to assist in the decision-making process. This thesis investigates plastic waste recycling from a sustainable reverse logistics angle. The aim is to analyse the collection, separation and ...
Keywords	costs ; households ; logistics ; modeling ; plastics ; sustainability ; transport ; wastes ; afval ; duurzaamheid (sustainability) ; huishoudens ; kosten ; kunststoffen ; logistiek ; modelleren
Subject code	650
Language	English
Publisher	Wageningen University
Publishing country	nl
Document type	Thesis ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures

Bing, Xin / Wegkamp, Marten

2022

Abstract: This paper considers binary classification of high-dimensional features under a postulated model with a low-dimensional latent Gaussian mixture structure and non-vanishing noise. A generalized least squares estimator is used to estimate the direction of ... ...

Abstract	This paper considers binary classification of high-dimensional features under a postulated model with a low-dimensional latent Gaussian mixture structure and non-vanishing noise. A generalized least squares estimator is used to estimate the direction of the optimal separating hyperplane. The estimated hyperplane is shown to interpolate on the training data. While the direction vector can be consistently estimated as could be expected from recent results in linear regression, a naive plug-in estimate fails to consistently estimate the intercept. A simple correction, that requires an independent hold-out sample, renders the procedure minimax optimal in many scenarios. The interpolation property of the latter procedure can be retained, but surprisingly depends on the way the labels are encoded.
Keywords	Statistics - Machine Learning ; Computer Science - Machine Learning ; Mathematics - Statistics Theory ; Statistics - Methodology
Subject code	519
Publishing date	2022-10-25
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Optimal vintage factor analysis with deflation varimax

Bing, Xin / Jin, Dian / Zhang, Yuqian

2023

Abstract: Vintage factor analysis is one important type of factor analysis that aims to first find a low-dimensional representation of the original data, and then to seek a rotation such that the rotated low-dimensional representation is scientifically meaningful. ...

Abstract	Vintage factor analysis is one important type of factor analysis that aims to first find a low-dimensional representation of the original data, and then to seek a rotation such that the rotated low-dimensional representation is scientifically meaningful. Perhaps the most widely used vintage factor analysis is the Principal Component Analysis (PCA) followed by the varimax rotation. Despite its popularity, little theoretical guarantee can be provided mainly because varimax rotation requires to solve a non-convex optimization over the set of orthogonal matrices. In this paper, we propose a deflation varimax procedure that solves each row of an orthogonal matrix sequentially. In addition to its net computational gain and flexibility, we are able to fully establish theoretical guarantees for the proposed procedure in a broad context. Adopting this new varimax approach as the second step after PCA, we further analyze this two step procedure under a general class of factor models. Our results show that it estimates the factor loading matrix in the optimal rate when the signal-to-noise-ratio (SNR) is moderate or large. In the low SNR regime, we offer possible improvement over using PCA and the deflation procedure when the additive noise under the factor model is structured. The modified procedure is shown to be optimal in all SNR regimes. Our theory is valid for finite sample and allows the number of the latent factors to grow with the sample size as well as the ambient dimension to grow with, or even exceed, the sample size. Extensive simulation and real data analysis further corroborate our theoretical findings.
Keywords	Statistics - Machine Learning ; Computer Science - Information Theory ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Signal Processing
Subject code	306
Publishing date	2023-10-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Autosomal Dominant Vitreoretinochoroidopathy With a Novel BEST1 Mutation and a Review of Reported Mutations.

Komro, Jack / Skender, Sarah / Ross, Bing X / Lin, Xihui

Cureus

2022 Volume 14, Issue 12, Page(s) e32990

Abstract: Here we describe a patient with atypical presentation of autosomal dominant vitreoretinochoroidopathy (ADVIRC) with a novel missense mutation in BEST1 gene and briefly review reported ADVIRC-associated genetic mutations. The patient is a 71-year-old ... ...

Abstract	Here we describe a patient with atypical presentation of autosomal dominant vitreoretinochoroidopathy (ADVIRC) with a novel missense mutation in BEST1 gene and briefly review reported ADVIRC-associated genetic mutations. The patient is a 71-year-old African American female who presented with progressively worsening blurry vision bilaterally over the course of 40 years, with significant deterioration in both peripheral and central vision in the past five years. Her anterior segment exam was unremarkable. Fundoscopic examination showed confluent, demarcated areas of pigmentary chorioretinal atrophy in the mid-periphery of the retina with sparing of the macula in both eyes. Optical coherence tomography (OCT) of the lesions revealed flattening of the fovea with an elevation of the inner retinal structures and outer plexiform layer, and peripheral retinal thinning and loss of retinal structures with choroid hyperreflectivity, consistent with peripheral chorioretinal atrophy. Genetic testing identified a heterozygous c.830C>T, p.(T277M) mutation located on exon 7 of the BEST1 gene. This patient represents an atypical presentation of ADVIRC with more posterior involvement, and this case is associated with a novel missense mutation in the BEST1 gene.
Language	English
Publishing date	2022-12-27
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.32990
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Article ; Online: Treatment-triggered onset and diagnosis of Sheehan syndrome in a multiple myeloma patient.

Bing, Xia / Peifang, Liu

Cancer reports (Hoboken, N.J.)

2019 Volume 2, Issue 4, Page(s) e1171

Abstract: Background: Sheehan syndrome refers to a series of clinical symptoms resulting from avascular necrosis of anterior pituitary due to various reasons.: Case: We report a case of multiple myeloma patient after one cycle of chemotherapy consisting of ... ...

Abstract	Background: Sheehan syndrome refers to a series of clinical symptoms resulting from avascular necrosis of anterior pituitary due to various reasons. Case: We report a case of multiple myeloma patient after one cycle of chemotherapy consisting of bortezomib and dexamethasone diagnosis of Sheehan syndrome with obstinate diarrhea, low blood glucose, and coma symptom, especially, the fluorodeoxyglucose positron emission tomography (FDG-PET) and brain magnetic resonance imaging (MRI) revealed that the manifestations in the saddle area were in accordance with empty sella syndrome. A single administration with lenalidomide was given for both consolidative and maintenance treatment, and satisfactory efficacy was achieved. With the patient now remaining in satisfactory medical condition, the success of this therapy has been shown. Conclusions: This is the first report showing a patient with combined multiple myeloma and rarely seen Sheehan syndrome, in which lenalidomide was given for treatment, and satisfactory efficacy was achieved.
MeSH term(s)	Aged ; Antineoplastic Combined Chemotherapy Protocols/adverse effects ; Bortezomib/adverse effects ; Dexamethasone/adverse effects ; Female ; Humans ; Hypopituitarism/chemically induced ; Hypopituitarism/diagnosis ; Hypopituitarism/drug therapy ; Immunologic Factors/administration & dosage ; Lenalidomide/administration & dosage ; Magnetic Resonance Imaging ; Multiple Myeloma/drug therapy ; Pituitary Gland/diagnostic imaging ; Pituitary Gland/drug effects ; Positron Emission Tomography Computed Tomography ; Treatment Outcome
Chemical Substances	Immunologic Factors ; Bortezomib (69G8BD63PP) ; Dexamethasone (7S5I7G3JQL) ; Lenalidomide (F0P408N6V4)
Language	English
Publishing date	2019-04-21
Publishing country	United States
Document type	Case Reports ; Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2573-8348
ISSN (online)	2573-8348
DOI	10.1002/cnr2.1171
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