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  1. Artikel: Targeting Ion Channels and Purkinje Neuron Intrinsic Membrane Excitability as a Therapeutic Strategy for Cerebellar Ataxia.

    Huang, Haoran / Shakkottai, Vikram G

    Life (Basel, Switzerland)

    2023  Band 13, Heft 6

    Abstract: In degenerative neurological disorders such as Parkinson's disease, a convergence of widely varying insults results in a loss of dopaminergic neurons and, thus, the motor symptoms of the disease. Dopamine replacement therapy with agents such as levodopa ... ...

    Abstract In degenerative neurological disorders such as Parkinson's disease, a convergence of widely varying insults results in a loss of dopaminergic neurons and, thus, the motor symptoms of the disease. Dopamine replacement therapy with agents such as levodopa is a mainstay of therapy. Cerebellar ataxias, a heterogeneous group of currently untreatable conditions, have not been identified to have a shared physiology that is a target of therapy. In this review, we propose that perturbations in cerebellar Purkinje neuron intrinsic membrane excitability, a result of ion channel dysregulation, is a common pathophysiologic mechanism that drives motor impairment and vulnerability to degeneration in cerebellar ataxias of widely differing genetic etiologies. We further propose that treatments aimed at restoring Purkinje neuron intrinsic membrane excitability have the potential to be a shared therapy in cerebellar ataxia akin to levodopa for Parkinson's disease.
    Sprache Englisch
    Erscheinungsdatum 2023-06-08
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life13061350
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Numerical simulation of the effect of plate spacing on heat transfer characteristics within a parallel-plate heat exchanger in a standing wave thermoacoustic system

    Huang Haoran / Jaworski Artur

    E3S Web of Conferences, Vol 116, p

    2019  Band 00028

    Abstract: Power can be converted with high efficiently between thermal energy and mechanical (acoustic) energy by using thermoacoustic technologies. Thus, the heat transfer characteristics are significant to the understanding of mechanisms, and improvement of ... ...

    Abstract Power can be converted with high efficiently between thermal energy and mechanical (acoustic) energy by using thermoacoustic technologies. Thus, the heat transfer characteristics are significant to the understanding of mechanisms, and improvement of efficiency for thermoacoustic devices, notably in heat exchangers. This paper introduces a two-dimensional computational fluid dynamics model of flow across a parallel-plate heat exchanger and investigates the effect of plate spacing on heat transfer characteristics. The open source CFD software OpenFOAM is applied because of the highly customizable capabilities to vary the control parameters. Firstly, the computational model including geometry, boundary conditions, equations, discretization scheme, turbulence and thermophysical properties’ models are presented, and then grid-independence validation is presented to verify the quality of mesh. The simulation results show that plate spacing influences the heat transfer between plates and adjacent area of heat exchanger, and the heat transfer coefficient goes up when the plate spacing decreases. The analysis also indicates that a possible flow transition to turbulence occurred within Re number between 247.2 and 321.4. The results in this work can help the understanding of heat transfer inside thermoacoustic system, and form a basis for future research.
    Schlagwörter Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 621
    Sprache Englisch
    Erscheinungsdatum 2019-01-01T00:00:00Z
    Verlag EDP Sciences
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Segmentation of linear map objects using sequential convolutional neural network

    YANG Min / CHEN Guo / LI Lianying / HUANG Haoran / MIAO Jing / YAN Xiongfeng

    Acta Geodaetica et Cartographica Sinica, Vol 52, Iss 1, Pp 108-

    2023  Band 116

    Abstract: Segmentation of linear objects based on their morphological characteristics is a pivotal pre-step for adaptive generalization. Existing studies mainly use hand-crafted features, such as length, angle, and curvature, to describe the local structures of ... ...

    Abstract Segmentation of linear objects based on their morphological characteristics is a pivotal pre-step for adaptive generalization. Existing studies mainly use hand-crafted features, such as length, angle, and curvature, to describe the local structures of linear objects, and further to identify different patterns based on manual-defined rules or machine learning methods. In this study, we propose a structural recognition and segmentation method for linear objects using deep learning. First, a linear unit (also known as lixel) composed of two adjacent points is considered as the processing unit, and each linear object is discretized into a two-dimension sequence in which the differences between the horizontal and vertical coordinates of each lixel are encoded. Then, a sequential convolutional neural network (SCNN) is established to predict the types of each lixel. Finally, the segmentation results of different morphological characteristics are obtained by merging the adjacent lixels with the same type using an iteration method. Experiments were conducted on two datasets of 1∶50 k administrative boundaries and 1∶250 k mountain roads, and the consistency ratios of segmentation results were 91.25% and 85.65%, respectively, outperforming the traditional methods based on backpropagation artificial neural network and Naïve Bayes. Overall, our method can effectively avoid the subjectivity that exists when designing the hand-crafted features, and is more adaptable to the segmentation of linear objects with different scales and types.
    Schlagwörter linear map objects ; segmentation ; sequential convolutional neural network ; deep learning ; Mathematical geography. Cartography ; GA1-1776
    Thema/Rubrik (Code) 006
    Sprache Chinesisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Surveying and Mapping Press
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Superhydrophobic/ superoleophilic polystyrene-based porous material with superelasticity for highly efficient and continuous oil/water separation in harsh environments.

    Zhao, Chunxia / Xie, Hongxia / Huang, Haoran / Cai, Yi / Chen, Zhuo / Cheng, Jinbo / Xiang, Dong / Li, Dong / Li, Zhenyu / Wu, Yuanpeng

    Journal of hazardous materials

    2024  Band 472, Seite(n) 134566

    Abstract: Three-dimensional separation materials with robust physical/chemical stability have great demand for effective and continuous separation of immiscible oil/water mixtures and water-in-oil emulsions, resulting from chemical leakages and discharge of ... ...

    Abstract Three-dimensional separation materials with robust physical/chemical stability have great demand for effective and continuous separation of immiscible oil/water mixtures and water-in-oil emulsions, resulting from chemical leakages and discharge of industrial oily wastewaters. Herein, a superelastic polystyrene-based porous material with superhydrophobicity/superoleophilicity was designed and prepared by high internal phase emulsion polymerization to meet the aforementioned requirements. A flexible and hydrophobic aminopropyl terminated polydimethylsiloxane (NH
    Sprache Englisch
    Erscheinungsdatum 2024-05-11
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2024.134566
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Ectopic scrotum and penoscrotal transposition: Case report and literature review.

    Huang, Haoran / Liu, Xiangxia / Li, Zuoqing / Lin, Junjie / Yang, Hai / Xu, Zhe

    Frontiers in pediatrics

    2023  Band 11, Seite(n) 1015384

    Abstract: Background: Ectopic scrotum (ES) is an extremely rare congenital scrotal malformation. Ectopic scrotum with VATER/VACTERL [vertebral defects (V), anal atresia or anorectal malformations (A), cardiac defects (C), tracheoesophageal fistula with or without ...

    Abstract Background: Ectopic scrotum (ES) is an extremely rare congenital scrotal malformation. Ectopic scrotum with VATER/VACTERL [vertebral defects (V), anal atresia or anorectal malformations (A), cardiac defects (C), tracheoesophageal fistula with or without esophageal atresia (TE), cardiac defects, renal malformations (R), and limb defects (L)] association is even rarer. There are no uniform guidelines for diagnosis and treatment.
    Clinical case: We described a 2-year-5-month-old boy who has ectopic scrotum and penoscrotal transposition and reviewed relevant literature in this report. We performed laparoscopy exploration, rotation flap scrotoplasty, and orchiopexy and achieved a great result during the postoperative follow-up.
    Conclusions: Combined with the previous literature, we made a summary to come up with a plan for the diagnosis and treatment of ectopic scrotum. Rotation flap scrotoplasty and orchiopexy are worthy of considering operative methods in treating ES. For penoscrotal transposition or VATER/VACTERL association, we can treat the diseases individually.
    Sprache Englisch
    Erscheinungsdatum 2023-02-21
    Erscheinungsland Switzerland
    Dokumenttyp Case Reports
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1015384
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Buch ; Online: Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue

    Zhang, Wentao / Xu, Shuang / Huang, Haoran

    2022  

    Abstract: Selecting an appropriate response from many candidates given the utterances in a multi-turn dialogue is the key problem for a retrieval-based dialogue system. Existing work formalizes the task as matching between the utterances and a candidate and uses ... ...

    Abstract Selecting an appropriate response from many candidates given the utterances in a multi-turn dialogue is the key problem for a retrieval-based dialogue system. Existing work formalizes the task as matching between the utterances and a candidate and uses the cross-entropy loss in learning of the model. This paper applies contrastive learning to the problem by using the supervised contrastive loss. In this way, the learned representations of positive examples and representations of negative examples can be more distantly separated in the embedding space, and the performance of matching can be enhanced. We further develop a new method for supervised contrastive learning, referred to as two-level supervised contrastive learning, and employ the method in response selection in multi-turn dialogue. Our method exploits two techniques: sentence token shuffling (STS) and sentence re-ordering (SR) for supervised contrastive learning. Experimental results on three benchmark datasets demonstrate that the proposed method significantly outperforms the contrastive learning baseline and the state-of-the-art methods for the task.
    Schlagwörter Computer Science - Computation and Language
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2022-03-01
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel: Superhydrophobic and magnetic PS/Fe3O4 sponge for remote oil removal under magnetic driven, continuous oil collection, and oil/water emulsion separation

    Huang, Haoran / Li, Xin / Zhao, Chunxia / Zhu, Longbin / Li, Yuntao / Wu, Yuanpeng / Li, Zhenyu

    Journal of materials science. 2022 Jan., v. 57, no. 1

    2022  

    Abstract: Superhydrophobic and magnetic materials with multiple functions (e.g., continuous oil collection, remote oil removal in confined spaces under magnetic driven, separation of oil/water emulsions, and good oil absorption capacity with robust stability) are ... ...

    Abstract Superhydrophobic and magnetic materials with multiple functions (e.g., continuous oil collection, remote oil removal in confined spaces under magnetic driven, separation of oil/water emulsions, and good oil absorption capacity with robust stability) are highly required for practical oily wastewater remediation, but still a challenge to be realized. For this purpose, superhydrophobic Fe₃O₄ nanoparticles/polystyrene (PS) composite sponge has been fabricated via high internal phase emulsion template method. The as-prepared sponge exhibits high water-repellence and superoleophilicity with water/oil contact angles are 155º and 0º, respectively. Given the magnetic properties of Fe₃O₄, our sponge displays the capacity for remote oil capture under magnetic driven. Additionally, continuous oil collection has been also realized with the equipment of pumper. Different from some previous reported sponges, our sponge also possesses the unique ability to separate surfactant stabilized oil/water emulsion. Besides, our sponge can also act as a high-efficiency oil absorbent with robust cycling stability (oil recovery rate can reach 92%, even after 10 absorption-centrifugation cycles). These outstanding functions make our sponge hold great potential for the purification of oily wastewater. This work reported a simple and environmentally-friendly approach to prepare multi-functional magnetic and superhydrophobic sponges via high internal phase emulsion (HIPE) method. The PS/Fe₃O₄ composite sponges exhibited unique properties: (i) high water-repellence and good oleophilicity; (ii) the function as a high-efficiency oil absorbent with robust cycling stability; (iii) ability to remove oil remotely under magnetic driven; (iv) continuous oil collection; (v) the capacity to separate surfactant stabilized oil/water emulsion. These outstanding performances make our sponge is of great importance for practical oily wastewater remediation.
    Schlagwörter absorbents ; absorption ; emulsions ; equipment ; hydrophobicity ; magnetism ; oils ; polystyrenes ; remediation ; surfactants ; wastewater
    Sprache Englisch
    Erscheinungsverlauf 2022-01
    Umfang p. 336-350.
    Erscheinungsort Springer US
    Dokumenttyp Artikel
    ZDB-ID 2015305-3
    ISSN 1573-4803 ; 0022-2461
    ISSN (online) 1573-4803
    ISSN 0022-2461
    DOI 10.1007/s10853-021-06568-9
    Datenquelle NAL Katalog (AGRICOLA)

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  8. Artikel: T cell proliferation-related genes: Predicting prognosis, identifying the cold and hot tumors, and guiding treatment in clear cell renal cell carcinoma.

    Huang, Haoran / Cai, Yanmin / Hong, Xitao / Gao, Wenzong / Tang, Jun / Zhang, Shujuan / Xu, Zhe

    Frontiers in genetics

    2022  Band 13, Seite(n) 948734

    Abstract: Background: ...

    Abstract Background:
    Sprache Englisch
    Erscheinungsdatum 2022-09-02
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.948734
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: Boosting CdS Photocatalytic Activity for Hydrogen Evolution in Formic Acid Solution by P Doping and MoS

    Liu, Junchen / Huang, Haoran / Ge, Chunyu / Wang, Zhenghui / Zhou, Xunfu / Fang, Yueping

    Nanomaterials (Basel, Switzerland)

    2022  Band 12, Heft 3

    Abstract: Formic acid is an appealing hydrogen storage material. In order to rapidly produce hydrogen from formic acid under relatively mild conditions, high-efficiency and stable photocatalytic systems are of great significance to prompt hydrogen ( ... ...

    Abstract Formic acid is an appealing hydrogen storage material. In order to rapidly produce hydrogen from formic acid under relatively mild conditions, high-efficiency and stable photocatalytic systems are of great significance to prompt hydrogen (H
    Sprache Englisch
    Erscheinungsdatum 2022-02-06
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano12030561
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  10. Artikel ; Online: Artificial intelligence in pancreatic cancer.

    Huang, Bowen / Huang, Haoran / Zhang, Shuting / Zhang, Dingyue / Shi, Qingya / Liu, Jianzhou / Guo, Junchao

    Theranostics

    2022  Band 12, Heft 16, Seite(n) 6931–6954

    Abstract: Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for those not ... ...

    Abstract Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for those not diagnosed with early screening. Therefore, early diagnosis and early treatment of pancreatic cancer are particularly critical. However, as a rare disease, the general screening cost of pancreatic cancer is high, the accuracy of existing tumor markers is not enough, and the efficacy of treatment methods is not exact. In terms of early diagnosis, artificial intelligence technology can quickly locate high-risk groups through medical images, pathological examination, biomarkers, and other aspects, then screening pancreatic cancer lesions early. At the same time, the artificial intelligence algorithm can also be used to predict the survival time, recurrence risk, metastasis, and therapy response which could affect the prognosis. In addition, artificial intelligence is widely used in pancreatic cancer health records, estimating medical imaging parameters, developing computer-aided diagnosis systems, etc. Advances in AI applications for pancreatic cancer will require a concerted effort among clinicians, basic scientists, statisticians, and engineers. Although it has some limitations, it will play an essential role in overcoming pancreatic cancer in the foreseeable future due to its mighty computing power.
    Mesh-Begriff(e) Humans ; Artificial Intelligence ; Algorithms ; Pancreatic Neoplasms/diagnosis ; Biomarkers, Tumor ; Pancreatic Neoplasms
    Chemische Substanzen Biomarkers, Tumor
    Sprache Englisch
    Erscheinungsdatum 2022-10-03
    Erscheinungsland Australia
    Dokumenttyp Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592097-2
    ISSN 1838-7640 ; 1838-7640
    ISSN (online) 1838-7640
    ISSN 1838-7640
    DOI 10.7150/thno.77949
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