Deciphering the role of helicases and translocases: A multifunctional gene family safeguarding plants from diverse environmental adversities

Autor: Asif Ahmed Sami, Shatil Arabia, Rakha Hari Sarker, Tahmina Islam

Publikováno v: Current Plant Biology, Vol 26, Iss , Pp 100204- (2021)

Helicases and translocases comprise one of the largest and highly conserved gene families in eukaryotic organisms, including plant. Members of this gene family are involved in a plethora of molecular processes related to DNA and RNA metabolism that a

Externí odkaz: https://doaj.org/article/d4bbaeddf000486283957657fa777dd5

Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis.

Autor: Dubljevic V; North Carolina State University, Raleigh, NC, United States of America., List G; North Carolina State University, Raleigh, NC, United States of America., Milojevich J; Oklahoma State University, Stillwater, Oklahoma, United States of America., Ajmeri N; North Carolina State University, Raleigh, NC, United States of America., Bauer WA; North Carolina State University, Raleigh, NC, United States of America., Singh MP; North Carolina State University, Raleigh, NC, United States of America., Bardaka E; North Carolina State University, Raleigh, NC, United States of America., Birkland TA; North Carolina State University, Raleigh, NC, United States of America., Edwards CHW; University of North Carolina, Chapel Hill, NC, United States of America., Mayer RC; North Carolina State University, Raleigh, NC, United States of America., Muntean I; University of North Carolina, Asheville, NC, United States of America., Powers TM; University of Delaware, Newark, Delaware, United States of America., Rakha HA; Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America., Ricks VA; Guilford College, Greensboro, NC, United States of America., Samandar MS; North Carolina State University, Raleigh, NC, United States of America.

Publikováno v: PloS one [PLoS One] 2021 Aug 13; Vol. 16 (8), pp. e0256224. Date of Electronic Publication: 2021 Aug 13 (Print Publication: 2021).

INTEGRATION Large-Scale Modeling Framework of Direct Cellular Vehicle-to-All (C-V2X) Applications.

Autor: Farag MMG; Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA.; College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria 21500, Egypt., Rakha HA; Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA.; The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.; The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA., Mazied EA; Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA.; Electrical Engineering, Sohag University, New Sohag, Sohag 82511, Egypt., Rao J; Ford Motor Company, Dearborn, MI 48126, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Mar 18; Vol. 21 (6). Date of Electronic Publication: 2021 Mar 18.

Estimation of Traffic Stream Density Using Connected Vehicle Data: Linear and Nonlinear Filtering Approaches.

Autor: Aljamal MA; Charles E. Via, Jr. Department of Civil and Environmental Engineering, Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA., Abdelghaffar HM; Department of Computer Engineering and Systems, Engineering Faculty, Mansoura University, Mansoura 35516, Egypt.; Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA., Rakha HA; Charles E. Via, Jr. Department of Civil and Environmental Engineering, Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Jul 22; Vol. 20 (15). Date of Electronic Publication: 2020 Jul 22.

Developing a Neural-Kalman Filtering Approach for Estimating Traffic Stream Density Using Probe Vehicle Data.

Autor: Aljamal MA; Charles E. Via, Jr. Department of Civil and Environmental Engineering, Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA. maljamal@vt.edu., Abdelghaffar HM; Department of Computers Engineering and Systems, Engineering Faculty, Mansoura University, Mansoura, Dakahlia 35516, Egypt. hossam_wahed@mans.edu.eg.; Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA. hossam_wahed@mans.edu.eg., Rakha HA; Charles E. Via, Jr. Department of Civil and Environmental Engineering, Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24061, USA. hrakha@vt.edu.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Oct 07; Vol. 19 (19). Date of Electronic Publication: 2019 Oct 07.