Use of GIS and machine learning to predict disease in shrimp farmed on the east coast of the Mekong Delta, Vietnam

2022 ◽  
Author(s):  
Nguyen Minh Khiem ◽  
Yuki Takahashi ◽  
Hiroki Yasuma ◽  
Dang Thi Hoang Oanh ◽  
Tran Ngoc Hai ◽  
...  
2020 ◽  
Vol 86 (4) ◽  
pp. 673-683
Author(s):  
Nguyen Minh Khiem ◽  
Yuki Takahashi ◽  
Dang Thi Hoang Oanh ◽  
Tran Ngoc Hai ◽  
Hiroki Yasuma ◽  
...  

2021 ◽  
pp. e00424
Author(s):  
Tien Giang Nguyen ◽  
Ngoc Anh Tran ◽  
Phuong Lan Vu ◽  
Quoc-Huy Nguyen ◽  
Huu Duy Nguyen ◽  
...  

2020 ◽  
Vol 30 (4) ◽  
pp. 459-466
Author(s):  
Rajiv Gupta ◽  
Sanjith Prahas Krishnam ◽  
Pamela W. Schaefer ◽  
Michael H. Lev ◽  
R. Gilberto Gonzalez

2020 ◽  
Vol 30 (4) ◽  
pp. 467-478
Author(s):  
Rajiv Gupta ◽  
Sanjith Prahas Krishnam ◽  
Pamela W. Schaefer ◽  
Michael H. Lev ◽  
R. Gilberto Gonzalez

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


2020 ◽  
Vol 51 (3) ◽  
pp. 807-820
Author(s):  
Lena G. Caesar ◽  
Marie Kerins

Purpose The purpose of this study was to investigate the relationship between oral language, literacy skills, age, and dialect density (DD) of African American children residing in two different geographical regions of the United States (East Coast and Midwest). Method Data were obtained from 64 African American school-age children between the ages of 7 and 12 years from two geographic regions. Children were assessed using a combination of standardized tests and narrative samples elicited from wordless picture books. Bivariate correlation and multiple regression analyses were used to determine relationships to and relative contributions of oral language, literacy, age, and geographic region to DD. Results Results of correlation analyses demonstrated a negative relationship between DD measures and children's literacy skills. Age-related findings between geographic regions indicated that the younger sample from the Midwest outscored the East Coast sample in reading comprehension and sentence complexity. Multiple regression analyses identified five variables (i.e., geographic region, age, mean length of utterance in morphemes, reading fluency, and phonological awareness) that accounted for 31% of the variance of children's DD—with geographic region emerging as the strongest predictor. Conclusions As in previous studies, the current study found an inverse relationship between DD and several literacy measures. Importantly, geographic region emerged as a strong predictor of DD. This finding highlights the need for a further study that goes beyond the mere description of relationships to comparing geographic regions and specifically focusing on racial composition, poverty, and school success measures through direct data collection.


2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document