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  1. Article ; Online: Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China.

    Xie, Xiansheng / Qiu, Jianfei / Feng, Xinxin / Hou, Yanlin / Wang, Shuojin / Jia, Shugang / Liu, Shutian / Hou, Xianda / Dou, Sen

    International journal of environmental research and public health

    2022  Volume 19, Issue 24

    Abstract: Soil pH is an essential indicator for assessing soil quality and soil health. In this study, based on the Chinese farmland soil survey dataset and meteorological dataset, the spatial distribution characteristics of soil pH in coastal eastern China were ... ...

    Abstract Soil pH is an essential indicator for assessing soil quality and soil health. In this study, based on the Chinese farmland soil survey dataset and meteorological dataset, the spatial distribution characteristics of soil pH in coastal eastern China were analyzed using kriging interpolation. The relationships between hydrothermal conditions and soil pH were explored using regression analysis with mean annual precipitation (MAP), mean annual temperature (MAT), the ratio of precipitation to temperature (P/T), and the product of precipitation and temperature (P*T) as the main explanatory variables. Based on this, a model that can rapidly estimate soil pH was established. The results showed that: (a) The spatial heterogeneity of soil pH in coastal eastern China was obvious, with the values gradually decreasing from north to south, ranging from 4.5 to 8.5; (b) soil pH was significantly correlated with all explanatory variables at the 0.01 level. In general, MAP was the main factor affecting soil pH (
    MeSH term(s) Soil ; China ; Agriculture ; Temperature ; Spatial Analysis ; Hydrogen-Ion Concentration
    Chemical Substances Soil
    Language English
    Publishing date 2022-12-15
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph192416855
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: BRAND: a platform for closed-loop experiments with deep network models.

    Ali, Yahia H / Bodkin, Kevin / Rigotti-Thompson, Mattia / Patel, Kushant / Card, Nicholas S / Bhaduri, Bareesh / Nason-Tomaszewski, Samuel R / Mifsud, Domenick M / Hou, Xianda / Nicolas, Claire / Allcroft, Shane / Hochberg, Leigh R / Au Yong, Nicholas / Stavisky, Sergey D / Miller, Lee E / Brandman, David M / Pandarinath, Chethan

    Journal of neural engineering

    2024  Volume 21, Issue 2

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Neural Networks, Computer ; Brain-Computer Interfaces ; Neurosciences
    Language English
    Publishing date 2024-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ad3b3a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6071: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: An accurate and rapidly calibrating speech neuroprosthesis.

    Card, Nicholas S / Wairagkar, Maitreyee / Iacobacci, Carrina / Hou, Xianda / Singer-Clark, Tyler / Willett, Francis R / Kunz, Erin M / Fan, Chaofei / Nia, Maryam Vahdati / Deo, Darrel R / Srinivasan, Aparna / Choi, Eun Young / Glasser, Matthew F / Hochberg, Leigh R / Henderson, Jaimie M / Shahlaie, Kiarash / Brandman, David M / Stavisky, Sergey D

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Brain-computer interfaces can enable rapid, intuitive communication for people with paralysis by transforming the cortical activity associated with attempted speech into text on a computer screen. Despite recent advances, communication with brain- ... ...

    Abstract Brain-computer interfaces can enable rapid, intuitive communication for people with paralysis by transforming the cortical activity associated with attempted speech into text on a computer screen. Despite recent advances, communication with brain-computer interfaces has been restricted by extensive training data requirements and inaccurate word output. A man in his 40's with ALS with tetraparesis and severe dysarthria (ALSFRS-R = 23) was enrolled into the BrainGate2 clinical trial. He underwent surgical implantation of four microelectrode arrays into his left precentral gyrus, which recorded neural activity from 256 intracortical electrodes. We report a speech neuroprosthesis that decoded his neural activity as he attempted to speak in both prompted and unstructured conversational settings. Decoded words were displayed on a screen, then vocalized using text-to-speech software designed to sound like his pre-ALS voice. On the first day of system use, following 30 minutes of attempted speech training data, the neuroprosthesis achieved 99.6% accuracy with a 50-word vocabulary. On the second day, the size of the possible output vocabulary increased to 125,000 words, and, after 1.4 additional hours of training data, the neuroprosthesis achieved 90.2% accuracy. With further training data, the neuroprosthesis sustained 97.5% accuracy beyond eight months after surgical implantation. The participant has used the neuroprosthesis to communicate in self-paced conversations for over 248 hours. In an individual with ALS and severe dysarthria, an intracortical speech neuroprosthesis reached a level of performance suitable to restore naturalistic communication after a brief training period.
    Language English
    Publishing date 2024-04-10
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.12.26.23300110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: BRAND: A platform for closed-loop experiments with deep network models.

    Ali, Yahia H / Bodkin, Kevin / Rigotti-Thompson, Mattia / Patel, Kushant / Card, Nicholas S / Bhaduri, Bareesh / Nason-Tomaszewski, Samuel R / Mifsud, Domenick M / Hou, Xianda / Nicolas, Claire / Allcroft, Shane / Hochberg, Leigh R / Yong, Nicholas Au / Stavisky, Sergey D / Miller, Lee E / Brandman, David M / Pandarinath, Chethan

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support in existing real-time ... ...

    Abstract Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support in existing real-time frameworks. Researchers need a platform that fully supports high-level languages for running ANNs (e.g., Python and Julia) while maintaining support for languages that are critical for low-latency data acquisition and processing (e.g., C and C++). To address these needs, we introduce the Backend for Realtime Asynchronous Neural Decoding (BRAND). BRAND comprises Linux processes, termed
    Language English
    Publishing date 2023-08-12
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.08.08.552473
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: High-Performance Polymers for Membrane CO

    Liu, Junyi / Hou, Xianda / Park, Ho Bum / Lin, Haiqing

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2016  Volume 22, Issue 45, Page(s) 15980–15990

    Abstract: This Concept examines strategies to design advanced polymers with high ... ...

    Abstract This Concept examines strategies to design advanced polymers with high CO
    Language English
    Publishing date 2016-11-02
    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.201603002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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