Zobrazeno 1 - 10
of 246
pro vyhledávání: '"A C Dwyer"'
Publikováno v:
Ecological Solutions and Evidence, Vol 4, Iss 3, Pp n/a-n/a (2023)
Abstract The widespread decline of insect pollinators poses a conservation concern and threatens both the pollination of wild plants and crops. Primary drivers of pollinator decline are habitat loss, degradation and fragmentation, which to a large ex
Externí odkaz:
https://doaj.org/article/c29113acfce340739e55436f798c755b
Autor:
Shangran Qiu, Matthew I. Miller, Prajakta S. Joshi, Joyce C. Lee, Chonghua Xue, Yunruo Ni, Yuwei Wang, Ileana De Anda-Duran, Phillip H. Hwang, Justin A. Cramer, Brigid C. Dwyer, Honglin Hao, Michelle C. Kaku, Sachin Kedar, Peter H. Lee, Asim Z. Mian, Daniel L. Murman, Sarah O’Shea, Aaron B. Paul, Marie-Helene Saint-Hilaire, E. Alton Sartor, Aneeta R. Saxena, Ludy C. Shih, Juan E. Small, Maximilian J. Smith, Arun Swaminathan, Courtney E. Takahashi, Olga Taraschenko, Hui You, Jing Yuan, Yan Zhou, Shuhan Zhu, Michael L. Alosco, Jesse Mez, Thor D. Stein, Kathleen L. Poston, Rhoda Au, Vijaya B. Kolachalama
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Here the authors present a deep learning framework for dementia diagnosis, which can identify persons with normal cognition, mild cognitive impairment, Alzheimer’s disease, and dementia due to other etiologies.
Externí odkaz:
https://doaj.org/article/bab5bbf28df84736a2877d006d70d80b
Autor:
Hisham Abdeltawab, Mohamed Shehata, Ahmed Shalaby, Fahmi Khalifa, Ali Mahmoud, Mohamed Abou El-Ghar, Amy C. Dwyer, Mohammed Ghazal, Hassan Hajjdiab, Robert Keynton, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Abstract This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based
Externí odkaz:
https://doaj.org/article/5122771f8eff417ead0e170207bac3a5
Publikováno v:
The Journal of the Acoustical Society of America. 153:1580-1590
This study investigates the integration of word-initial fundamental frequency (F0) and voice-onset-time (VOT) in stop voicing categorization for adult listeners with normal hearing (NH) and unilateral cochlear implant (CI) recipients utilizing a bimo
Publikováno v:
Critical Studies on Security. 11:1-13
Autor:
Robert C. Brucia, Nathaniel W. Taggart, Eyal Sagiv, Utkarsh Kohli, Svjetlana Tisma-Dupanovic, Nicole J. Sutton, George M. McDaniel, Joseph W. Rossano, Andrew C. Dwyer, Audrey C. Marshall
Publikováno v:
Pediatric Cardiology. 44:1057-1067
Publikováno v:
Emotion. 22:1739-1754
Several lines of research document various relational and personal benefits of gratitude and its key behavioral manifestation, expressed gratitude. Integrating these lines, we propose the three-factorial interpersonal emotions (TIE) analytical framew
Autor:
Suzanna E. Ledgister Hanchard, Michelle C. Dwyer, Simon Liu, Ping Hu, Cedrik Tekendo-Ngongang, Rebekah L. Waikel, Dat Duong, Benjamin D. Solomon
Publikováno v:
Genetics in Medicine. 24:1593-1603
Deep learning (DL) is applied in many biomedical areas. We performed a scoping review on DL in medical genetics. We first assessed 14,002 articles, of which 133 involved DL in medical genetics. DL in medical genetics increased rapidly during the stud
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221754 (2019)
Contrary to the expectations of many, Hillary Clinton lost the 2016 U.S. presidential election. The initial shock to her supporters turned into despair for most, but not everyone was affected equally. We draw from the literature on political activism
Externí odkaz:
https://doaj.org/article/261d999fc99c4b30a83b54630944669e
Autor:
Andrew C. Dwyer, Robert C. Brucia, Ying Du, Linda A. Althouse, David A. Turner, Laurel K. Leslie
Publikováno v:
Pediatrics. 151
This article describes a 2-phase process implemented by the American Board of Pediatrics in 2021 to investigate and remove potential bias on its General Pediatrics Certifying Examination at the item (question) level based on gender or race and ethnic