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  1. Article ; Online: The Unrecognized Role of Ninjurin 2 in Inflammation, Metabolism, and Pyroptosis.

    Liu, Juan / Hu, Wenwei / Feng, Zhaohui

    The American journal of pathology

    2024  Volume 194, Issue 5, Page(s) 637–640

    MeSH term(s) Humans ; Pyroptosis ; Nerve Growth Factors/metabolism ; Cell Adhesion Molecules, Neuronal ; Inflammation ; NLR Family, Pyrin Domain-Containing 3 Protein
    Chemical Substances Nerve Growth Factors ; Cell Adhesion Molecules, Neuronal ; NLR Family, Pyrin Domain-Containing 3 Protein
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2943-9
    ISSN 1525-2191 ; 0002-9440
    ISSN (online) 1525-2191
    ISSN 0002-9440
    DOI 10.1016/j.ajpath.2024.02.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Uncovering the effects of model initialization on deep model generalization

    Sivaramakrishnan Rajaraman / Ghada Zamzmi / Feng Yang / Zhaohui Liang / Zhiyun Xue / Sameer Antani

    PLOS Digital Health, Vol 3, Iss

    A study with adult and pediatric chest X-ray images

    2024  Volume 1

    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Function and mechanism of bispecific antibodies targeting SARS-CoV-2.

    Li, Zhaohui / Zhang, Zengyuan / Rosen, Steven T / Feng, Mingye

    Cell insight

    2024  Volume 3, Issue 2, Page(s) 100150

    Abstract: As the dynamic evolution of SARS-CoV-2 led to reduced efficacy in monoclonal neutralizing antibodies and emergence of immune escape, the role of bispecific antibodies becomes crucial in bolstering antiviral activity and suppressing immune evasion. This ... ...

    Abstract As the dynamic evolution of SARS-CoV-2 led to reduced efficacy in monoclonal neutralizing antibodies and emergence of immune escape, the role of bispecific antibodies becomes crucial in bolstering antiviral activity and suppressing immune evasion. This review extensively assesses a spectrum of representative bispecific antibodies targeting SARS-CoV-2, delving into their characteristics, design formats, mechanisms of action, and associated advantages and limitations. The analysis encompasses factors influencing the selection of parental antibodies and strategies for incorporating added benefits in bispecific antibody design. Furthermore, how different classes of parental antibodies contribute to augmenting the broad-spectrum neutralization capability within bispecific antibodies is discussed. In summary, this review presents analyses and discussions aimed at offering valuable insights for shaping future strategies in bispecific antibody design to effectively confront the challenges posed by SARS-CoV-2 and propel advancements in antiviral therapeutic development.
    Language English
    Publishing date 2024-02-03
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 2772-8927
    ISSN (online) 2772-8927
    DOI 10.1016/j.cellin.2024.100150
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  4. Article ; Online: Improved Catalytic Performance toward Selective Oxidation of Benzyl Alcohols Originated from New Open-Framework Copper Molybdovanadate with a Unique V/Mo Ratio.

    Feng, Yuquan / Zhong, Zhiguo / Chen, Shuyang / Liu, Kecheng / Meng, Zhaohui

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2023  Volume 29, Issue 65, Page(s) e202302051

    Abstract: A new organic-inorganic hybrid open-framework molybdovanadate with mixed-valences of vanadium ( ... ...

    Abstract A new organic-inorganic hybrid open-framework molybdovanadate with mixed-valences of vanadium (V
    Language English
    Publishing date 2023-10-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202302051
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  5. Article: Therapeutic effects and underlying mechanism of poly (L-glutamic acid)-

    Chen, Jiaqi / Yin, Min / Yang, Chenguang / Wang, Kun / Ma, Lili / Yu, Haiyang / Huang, Yue / Liu, Feng / Tang, Zhaohui

    Frontiers in bioengineering and biotechnology

    2024  Volume 12, Page(s) 1336692

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2024-02-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2024.1336692
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  6. Article: Investigation of Imidazolinone Herbicide Resistance Gene with KASP Markers for

    Liu, Peng / Feng, Wenjie / Wang, Tao / Zhang, Huadong / Mao, Shuaige / Zhang, Hua / Huang, Wenchao / Liu, Haifeng / Feng, Shangzong / Chu, Zhaohui

    Plants (Basel, Switzerland)

    2024  Volume 13, Issue 8

    Abstract: Rice is a staple food for more than half of the global population due to its food security and sustainable development. Weeds compete with crops for sunlight and indispensable nutrients, affecting the yield and quality of crops. Breeding herbicide- ... ...

    Abstract Rice is a staple food for more than half of the global population due to its food security and sustainable development. Weeds compete with crops for sunlight and indispensable nutrients, affecting the yield and quality of crops. Breeding herbicide-tolerant rice varieties paired with herbicide application is expected to help with weed control. In this study, 194
    Language English
    Publishing date 2024-04-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants13081097
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  7. Article ; Online: Transanal total mesorectal excision for rectal cancer: A novel bibliometric analysis.

    Lyu, JianBo / Xu, ZhaoHui / Qu, XiaoFeng

    Asian journal of surgery

    2022  Volume 45, Issue 11, Page(s) 2517–2518

    MeSH term(s) Bibliometrics ; Humans ; Laparoscopy ; Margins of Excision ; Postoperative Complications/surgery ; Proctectomy ; Rectal Neoplasms/surgery ; Rectum/surgery ; Treatment Outcome
    Language English
    Publishing date 2022-06-09
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.05.132
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    Zs.B 2831: Show issues Location:
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  8. Article ; Online: Mesoscopic Model for Reversible Adsorption Stage of Albumin and Fibrinogen on TiO

    Wu, Xiao / Wang, Chenyang / Hao, Pengfei / He, Feng / Yao, Zhaohui / Wei, Ronghan / Zhang, Xiwen

    The journal of physical chemistry. B

    2024  Volume 128, Issue 8, Page(s) 1900–1914

    Abstract: The competitive behavior of proteins in the reversible adsorption stage plays a crucial role in determining the composition of the protein layer and the subsequent biological responses to the biomaterial. However, such competitive adsorption is a ... ...

    Abstract The competitive behavior of proteins in the reversible adsorption stage plays a crucial role in determining the composition of the protein layer and the subsequent biological responses to the biomaterial. However, such competitive adsorption is a mesoscopic process at physiological protein concentration, and neither a macroscopic experiment nor microscopic MD (molecular dynamics) simulation is suitable to clarify it. Here, we proposed a mesoscopic DPD (dissipative particle dynamics) model to illustrate the competitive process of albumin and fibrinogen on TiO
    MeSH term(s) Fibrinogen/chemistry ; Adsorption ; Surface Properties ; Albumins ; Biocompatible Materials/chemistry ; Molecular Dynamics Simulation
    Chemical Substances Fibrinogen (9001-32-5) ; Albumins ; Biocompatible Materials
    Language English
    Publishing date 2024-01-30
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5207
    ISSN (online) 1520-5207
    DOI 10.1021/acs.jpcb.3c07372
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  9. Article ; Online: Clinical diagnosis of pheochromocytoma and paraganglioma-induced secondary hypertension through UPLC-MS/MS analysis of plasma catecholamines and their metabolites.

    Zhang, Weiyun / Li, Xiao / Li, Wanqin / Zhang, Yanmei / Cai, Jiajia / Feng, Shiyu / Sun, Zhaohui

    Journal of clinical hypertension (Greenwich, Conn.)

    2024  Volume 26, Issue 4, Page(s) 416–424

    Abstract: This study aimed to elucidate the clinical diagnostic value of plasma catecholamines and their metabolites for pheochromocytoma and paraganglioma (PPGL)-induced secondary hypertension using ultraperformance liquid chromatography-mass spectrometry (UPLC- ... ...

    Abstract This study aimed to elucidate the clinical diagnostic value of plasma catecholamines and their metabolites for pheochromocytoma and paraganglioma (PPGL)-induced secondary hypertension using ultraperformance liquid chromatography-mass spectrometry (UPLC-MS/MS). The study population included 155 patients with PPGL that were divided into the PPGL with hypertension (n = 79) and a PPGL without hypertension (n = 76) groups, and 90 healthy volunteers and 90 patients with primary hypertension as the control groups. UPLC-MS/MS was performed to detect plasma levels of catecholamines and their metabolites, including dopamine, vanillylmandelic acid (VMA), norepinephrine, metanephrine, and normetanephrine. Receiver operating characteristic curves were generated to analyze the diagnostic value of the plasma levels of catecholamines and their metabolites in PPGL-induced secondary hypertension. Patients in the primary hypertension and PPGL without hypertension groups had higher levels of dopamine, VMA, norepinephrine, metanephrine, and normetanephrine than patients in the normal group (all p < .05). On the other hand, patients in the PPGL with hypertension group had higher levels of dopamine, VMA, norepinephrine, metanephrine, and normetanephrine than patients in the normal, primary hypertension, and PPGL without hypertension groups (all p < .05). Collectively, our findings showed that dopamine, VMA, norepinephrine, metanephrine, and normetanephrine are all effective biomarkers for the diagnosis of PPGL and PPGL-induced secondary hypertension.
    MeSH term(s) Humans ; Catecholamines ; Pheochromocytoma/complications ; Pheochromocytoma/diagnosis ; Metanephrine ; Normetanephrine ; Dopamine ; Chromatography, Liquid/methods ; Liquid Chromatography-Mass Spectrometry ; Hypertension/diagnosis ; Tandem Mass Spectrometry/methods ; Paraganglioma/complications ; Paraganglioma/diagnosis ; Norepinephrine ; Adrenal Gland Neoplasms/complications ; Adrenal Gland Neoplasms/diagnosis ; Essential Hypertension/diagnosis ; Mandelic Acids
    Chemical Substances Catecholamines ; Metanephrine (5001-33-2) ; Normetanephrine (0J45DE6B88) ; Dopamine (VTD58H1Z2X) ; Norepinephrine (X4W3ENH1CV) ; 3-methoxy-4-hydroxymandelic acid ; Mandelic Acids
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2077222-1
    ISSN 1751-7176 ; 1524-6175
    ISSN (online) 1751-7176
    ISSN 1524-6175
    DOI 10.1111/jch.14779
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    Zs.A 5723: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Uncovering the effects of model initialization on deep model generalization

    Sivaramakrishnan Rajaraman / Ghada Zamzmi / Feng Yang / Zhaohui Liang / Zhiyun Xue / Sameer Antani

    PLOS Digital Health, Vol 3, Iss 1, p e

    A study with adult and pediatric chest X-ray images.

    2024  Volume 0000286

    Abstract: Model initialization techniques are vital for improving the performance and reliability of deep learning models in medical computer vision applications. While much literature exists on non-medical images, the impacts on medical images, particularly chest ...

    Abstract Model initialization techniques are vital for improving the performance and reliability of deep learning models in medical computer vision applications. While much literature exists on non-medical images, the impacts on medical images, particularly chest X-rays (CXRs) are less understood. Addressing this gap, our study explores three deep model initialization techniques: Cold-start, Warm-start, and Shrink and Perturb start, focusing on adult and pediatric populations. We specifically focus on scenarios with periodically arriving data for training, thereby embracing the real-world scenarios of ongoing data influx and the need for model updates. We evaluate these models for generalizability against external adult and pediatric CXR datasets. We also propose novel ensemble methods: F-score-weighted Sequential Least-Squares Quadratic Programming (F-SLSQP) and Attention-Guided Ensembles with Learnable Fuzzy Softmax to aggregate weight parameters from multiple models to capitalize on their collective knowledge and complementary representations. We perform statistical significance tests with 95% confidence intervals and p-values to analyze model performance. Our evaluations indicate models initialized with ImageNet-pretrained weights demonstrate superior generalizability over randomly initialized counterparts, contradicting some findings for non-medical images. Notably, ImageNet-pretrained models exhibit consistent performance during internal and external testing across different training scenarios. Weight-level ensembles of these models show significantly higher recall (p<0.05) during testing compared to individual models. Thus, our study accentuates the benefits of ImageNet-pretrained weight initialization, especially when used with weight-level ensembles, for creating robust and generalizable deep learning solutions.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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