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Article ; Online: Predicting global seasonal distributions and population exchange routes of a critically endangered shark

Zhang, Xiong

Biological Conservation. 2022 Oct. 07, p.109771-

2022 , Page(s) 109771–

Abstract: Oceanic sharks are of great importance to marine ecosystems but among the most endangered taxa in the world. Their conservation requires spatially and temporally explicit knowledge about distributions and migrations across oceanic basins, which are often ...

Abstract	Oceanic sharks are of great importance to marine ecosystems but among the most endangered taxa in the world. Their conservation requires spatially and temporally explicit knowledge about distributions and migrations across oceanic basins, which are often challenging to monitor and thus little is known at the global scale. The present study addressed this challenge for scalloped hammerhead (Sphyrna lewini) which is Critically Endangered. I gathered geo-referenced occurrences of this species from online biogeographic databases, catch data, and peer-reviewed literature. I built and selected 11 environmental predictors to predict seasonal suitable habitats based on seasonal species distribution models (SSDMs). I then predicted seasonal migration routes for population exchanges with two connectivity analysis techniques (Circuitscape, least-cost path analysis). All SSDMs performed well and showed that there were prominent divergences in seasonal distributions driven by the species' ecological niches. Generally, sea surface temperature was the most important predictor, followed by depth, salinity, primary productivity, distance to macrohabitats, and distance to shoreline. Seasonal suitable habitats were mainly found in tropical continental shelves and deep seas. Possible seasonal migration corridors for population exchanges across ocean basins were identified and some were commonly used by oceanic sharks. The present study highlights (i) the utility of integrating SDMs and connectivity-analysis techniques to predict migration routes for oceanic sharks, and (ii) seasonal and regional changes in habitat uses, suggesting dynamic, ocean-based conservation measures are needed to conserve these marine apex predators.
Keywords	Sphyrna lewini ; endangered species ; geographical distribution ; georeferencing ; habitats ; migratory behavior ; path analysis ; primary productivity ; salinity ; sharks ; shorelines ; surface water temperature ; Apex predator ; Connectivity analysis ; Conservation planning ; Migratory routes ; Oceanic shark ; Species distribution model
Language	English
Dates of publication	2022-1007
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ISSN	0006-3207
DOI	10.1016/j.biocon.2022.109771
Database	NAL-Catalogue (AGRICOLA)

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Article: Identification of potential diagnostic and prognostic biomarkers for breast cancer based on gene expression omnibus.

Zhang, Xiong / Mi, Zhi-Hui

World journal of clinical cases

2023 Volume 11, Issue 27, Page(s) 6344–6362

Abstract: Background: Breast cancer is regarded as a highly malignant neoplasm in the female population, posing a significant risk to women's overall well-being. The prevalence of breast cancer has been observed to rise in China, accompanied by an earlier age of ... ...

Abstract	Background: Breast cancer is regarded as a highly malignant neoplasm in the female population, posing a significant risk to women's overall well-being. The prevalence of breast cancer has been observed to rise in China, accompanied by an earlier age of onset when compared to Western countries. Breast cancer continues to be a prominent contributor to cancer-related mortality and morbidity among women, primarily due to its limited responsiveness to conventional treatment modalities. The diagnostic process is challenging due to the presence of non-specific clinical manifestations and the suboptimal precision of conventional diagnostic tests. There is a prevailing uncertainty regarding the most effective screening method and target populations, as well as the specificities and execution of screening programs. Aim: To identify diagnostic and prognostic biomarkers for breast cancer. Methods: Overlapping differentially expressed genes were screened based on Gene Expression Omnibus (GSE36765, GSE10810, and GSE20086) and The Cancer Genome Atlas datasets. A protein-protein interaction network was applied to excavate the hub genes among these differentially expressed genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, as well as gene set enrichment analyses, were conducted to examine the functions of these genes and their potential mechanisms in the development of breast cancer. For clarification of the diagnostic and prognostic roles of these genes, Kaplan-Meier and Cox proportional hazards analyses were conducted. Results: This study demonstrated that calreticulin, heat shock protein family B member 1, insulin-like growth Factor 1, interleukin-1 receptor 1, Krüppel-like factor 4, suppressor of cytokine signaling 3, and triosephosphate isomerase 1 are potential diagnostic biomarkers of breast cancer as well as potential treatment targets with clinical implications. Conclusion: The screening of biomarkers is of guiding significance for the diagnosis and prognosis of the diseases.
Language	English
Publishing date	2023-09-29
Publishing country	United States
Document type	Journal Article
ISSN	2307-8960
ISSN	2307-8960
DOI	10.12998/wjcc.v11.i27.6344
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: IFormerFusion

Zhang Xiong / Xiaohui Zhang / Qingping Hu / Hongwei Han

Remote Sensing, Vol 15, Iss 1352, p

Cross-Domain Frequency Information Learning for Infrared and Visible Image Fusion Based on the Inception Transformer

2023 Volume 1352

Abstract: The current deep learning-based image fusion methods can not sufficiently learn the features of images in a wide frequency range. Therefore, we proposed IFormerFusion, which is based on the Inception Transformer and cross-domain frequency fusion. To ... ...

Abstract	The current deep learning-based image fusion methods can not sufficiently learn the features of images in a wide frequency range. Therefore, we proposed IFormerFusion, which is based on the Inception Transformer and cross-domain frequency fusion. To learn features from high- and low-frequency information, we designed the IFormer mixer, which splits the input features through the channel dimension and feeds them into parallel paths for high- and low-frequency mixers to achieve linear computational complexity. The high-frequency mixer adopts a convolution and a max-pooling path, while the low-frequency mixer adopts a criss-cross attention path. Considering that the high-frequency information relates to the texture detail, we designed a cross-domain frequency fusion strategy, which trades high-frequency information between the source images. This structure can sufficiently integrate complementary features and strengthen the capability of texture retaining. Experiments on the TNO, OSU, and Road Scene datasets demonstrate that IFormerFusion outperforms other methods in object and subject evaluations.
Keywords	image fusion ; transformer ; inception transformer ; infrared image ; visible image ; Science ; Q
Subject code	600
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Calibration of BBM Parameters using the Modified State Surface Approach

Zhang Xiong / Riad Beshoy / Alonso Eduardo E.

E3S Web of Conferences, Vol 382, p

2023 Volume 15001

Abstract: The Barcelona Basic Model (BBM) developed by Alonso et al. [1] is the first and the mostwidely used elasto-plastic model for unsaturated soils. The BBM successfully explained many key features of unsaturated soils and received extensive acceptance. ... ...

Abstract	The Barcelona Basic Model (BBM) developed by Alonso et al. [1] is the first and the mostwidely used elasto-plastic model for unsaturated soils. The BBM successfully explained many key features of unsaturated soils and received extensive acceptance. However, there is lack of a well-establishedmethod for selecting parameter values for the BBM from laboratory tests, although a variety of methods have been recently developed for calibrating model parameters for the BBM. Concerns still exist on the correctness and robustness of such parameter value selection procedures. The above statements were evidenced by a recent benchmark exercise on selection of parameter values for the BBM organized within a "Marie Curie" Research Training Network on "Mechanics of Unsaturated Soils for Engineering"(MUSE)[2]. Experienced constitutive modelers in unsaturated soils from 7 prestigious teams were provided with the same experimental results on an unsaturated soil to calibrate the parameter values in the BBM. Theoretically, the calibrated parameters from different teams are expected to be the same or at leastvery close. However, the selected parameter values by the 7 teams are surprisingly widely different. This paper first discussed the limitations in the existing methods to calibrate the parameter values in the BBM. A novel approach was then proposed to calibrate the parameter values for the BBM. The approach takes advantage of the close-form solution of the BBM, which is derived based upon a newly proposed Modified State Surface Approach to study the unsaturated soils [3-6]. The same experimental data, used in the MUSE benchmark exercise, were reanalysed using the proposed approach to calibrate parameters for the BBM. The results were compared with those in the MUSE benchmark exercise from which thesimplicity, effectiveness, and robustness of the proposed method were evaluated.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Component optimization of porous permeable brick in “sponge city” based on rainfall area division

Wang Xiaofu / Zhang Xiong

E3S Web of Conferences, Vol 237, p

2021 Volume 03004

Abstract: The present study aims to prepare resin-based permeable bricks with micron-sized pores using fine aggregate with a particle diameter of 0.08mm-0.6mm and bisphenol-A epoxy resin, a polymer binder. The rainfall area of China was divided into 5 levels by ... ...

Abstract	The present study aims to prepare resin-based permeable bricks with micron-sized pores using fine aggregate with a particle diameter of 0.08mm-0.6mm and bisphenol-A epoxy resin, a polymer binder. The rainfall area of China was divided into 5 levels by using ArcGIS and Geoda geographic analysis software; The performance indexes of key components of resin-based permeable brick were selected by correlation with relevant standards, and the performance of materials is adjusted and designed according to the corresponding performance indexes, so as to meet the design requirements of “Sponge City”. The main method of material design is to adjust the key parameters of raw materials, such as aggregates, binder materials and admixtures, by using Image Pro Plus software and SEM and other test methods, so as to optimize the selection of “graded” aggregates and admixtures for different performance requirements scenarios to achieve the material selection goal. The highest permeable rate of resin-based permeable brick is 6.22× 10–2cm/s s, and the maximum compressive strength is more than 60MPa.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Clinical and radiological features of a case of primary encephalitis induced by SARS-CoV-2 omicron variant infection: A case report.

Zhang, Xiong / Hu, Ruiting / Zhao, Fanyu

Medicine

2023 Volume 102, Issue 37, Page(s) e35229

Abstract: Rationale: In 2022, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron spread widely around the world. In the context of most literature reporting weakened virulence of the virus, immunocompromised patients who have not been vaccinated ...

Abstract	Rationale: In 2022, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron spread widely around the world. In the context of most literature reporting weakened virulence of the virus, immunocompromised patients who have not been vaccinated should be vigilant for the development of encephalitis following SARS-CoV-2 infection. Patient concerns: A 58-year-old male patient with immunodeficiency presented with respiratory and psychiatric symptoms after contracting SARS-CoV-2 Omicron variant. Diagnoses: The patient was diagnosed with coronavirus disease 2019 infection and associated acute primary encephalitis. Interventions: The patient was received comprehensive treatment including Azvudine antiviral therapy, immunoglobulin infusion, and methylprednisolone anti-inflammatory therapy. Outcomes: The patient's condition improved and he was discharged smoothly. One month after discharge, the patient returned for follow-up, and the occipital lobe still had a few slow waves on electroencephalogram, but the patient reported no seizure events since discharge. Lessons: During the prevalence of the SARS-CoV-2 Omicron variant, we believe that it is still necessary to be vigilant about immunocompromised patients developing encephalitis. Early use of cranial magnetic resonance imaging as a diagnostic assistance is conducive to early diagnosis and treatment of patients.
MeSH term(s)	Male ; Humans ; Middle Aged ; SARS-CoV-2 ; COVID-19/complications ; Radiography ; Encephalitis/diagnostic imaging ; Encephalitis/etiology
Language	English
Publishing date	2023-09-15
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000035229
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Evaluating combined bevacizumab and XELOX in advanced colorectal cancer: Serum markers carcinoembryonic antigen, carbohydrate antigen 125, carbohydrate antigen 199 analysis.

Zhou, Dong-Bing / Cheng, Jun / Zhang, Xiong-Hui

World journal of clinical cases

2023 Volume 12, Issue 1, Page(s) 15–23

Abstract: Background: Colorectal cancer ranks third and second among common and fatal cancers. The treatment of metastatic colorectal cancer (mCRC) is generally based on XELOX in clinical practice, which includes capecitabine (CAP) and oxaliplatin. Serum tumor ... ...

Abstract	Background: Colorectal cancer ranks third and second among common and fatal cancers. The treatment of metastatic colorectal cancer (mCRC) is generally based on XELOX in clinical practice, which includes capecitabine (CAP) and oxaliplatin. Serum tumor markers carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 125 and CA199 are prognostic factors for various tumors. Aim: To investigate evaluating combined bevacizumab (BEV) and XELOX in advanced colorectal cancer: Serum markers CEA, CA125, CA199 analysis. Methods: In this retrospective study, a total of 94 elderly patients diagnosed with mCRC were recruited and subsequently categorized into two groups based on the distinct treatment modalities they received. The control group was treated with XELOX plus CAP ( Results: After 9 wk of treatment, the serum levels of CEA, CA199 and CA125 in the observation group were significantly lower than those in the control group ( Conclusion: On the basis of XELOX treatment, the combination of BEV and CAP can reduce serum tumor marker levels and prolong PFS in patients with mCRC.
Language	English
Publishing date	2023-11-17
Publishing country	United States
Document type	Journal Article
ISSN	2307-8960
ISSN	2307-8960
DOI	10.12998/wjcc.v12.i1.15
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Learning More in Vehicle Re-Identification

Yanbing Chen / Wei Ke / Hao Sheng / Zhang Xiong

Applied Sciences, Vol 12, Iss 15, p

Joint Local Blur Transformation and Adversarial Network Optimization

2022 Volume 7467

Abstract: Vehicle re-identification (ReID) tasks are an important part of smart cities and are widely used in public security. It is extremely challenging because vehicles with different identities are generated from a uniform pipeline and cannot be distinguished ... ...

Abstract	Vehicle re-identification (ReID) tasks are an important part of smart cities and are widely used in public security. It is extremely challenging because vehicles with different identities are generated from a uniform pipeline and cannot be distinguished based only on the subtle differences in their characteristics. To enhance the network’s ability to handle the diversity of samples in order to adapt to the changing external environment, we propose a novel data augmentation method to improve its performance. Our deep learning framework mainly consists of a local blur transformation and a transformation adversarial module. In particular, we first use a random selection algorithm to find a local region of interest in an image sample. Then, the parameter generator network, a lightweight convolutional neural network, is responsible for generating four weights and then as a basis to form a filter matrix for further blur transformations. Finally, an adversarial module is employed to ensure that as much noise information as possible is added to the image sample while preserving the structure of the training datasets. Furthermore, by updating the parameter generator network, the adversarial module can help produce more appropriate and harder training samples and lead to improving the framework’s performance. Extensive experiments on datasets, i.e., VeRi-776, VehicleID, and VERI-Wild, show that our method is superior to the state-of-the-art methods.
Keywords	vehicle re-identification ; local blur transformation ; filter matrix ; adversarial module ; convolutional neural network ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Self-Healing and Wide Temperature-Tolerant Cellulose-Based Eutectogels for Reversible Humidity Detection.

Wu, Yufang / Zhang, Xiong-Fei / Li, Mengjie / Yu, Mengjiao / Yao, Jianfeng

Langmuir : the ACS journal of surfaces and colloids

2024 Volume 40, Issue 10, Page(s) 5288–5296

Abstract: A kind of ionic conductive gel (also named eutectogel) is developed from an inorganic salt ( ... ...

Abstract	A kind of ionic conductive gel (also named eutectogel) is developed from an inorganic salt (ZnCl
Language	English
Publishing date	2024-02-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	2005937-1
ISSN	1520-5827 ; 0743-7463
ISSN (online)	1520-5827
ISSN	0743-7463
DOI	10.1021/acs.langmuir.3c03718
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Property Enhancement of Waste Printed Circuit Boards Powders Reinforced Polypropylene by In Situ Magnesium Hydroxide Impregnation from Waste Lye.

Tian, Shenghui / Liu, Jingwei / Gu, Jiabao / Xie, Chaoting / Zhang, Xiong / Liu, Xinlu

Polymers

2024 Volume 16, Issue 6

Abstract: Using alkali pretreatment can effectively remove residual variable-valence metals from non-metallic powder (WPCBP) in waste printed circuit boards. However, substantial amounts of waste lye are generated, which causes secondary pollution. On this basis, ... ...

Abstract	Using alkali pretreatment can effectively remove residual variable-valence metals from non-metallic powder (WPCBP) in waste printed circuit boards. However, substantial amounts of waste lye are generated, which causes secondary pollution. On this basis, this study innovatively utilized waste alkali lye to prepare nano-magnesium hydroxide. When the dispersant polyethylene glycol 6000 was used at a dosage of 3 wt.% of the theoretical yield of magnesium hydroxide, the synthesized nano-magnesium hydroxide exhibited well-defined crystallinity, good thermal stability and uniform particle size distribution, with a median diameter of 197 nm. Furthermore, the in situ method was selected to prepare WPCBP/Mg(OH)
Language	English
Publishing date	2024-03-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym16060822
Database	MEDical Literature Analysis and Retrieval System OnLINE

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