scholarly journals A Large-Scale Dataset of Barley, Maize and Sorghum Variety Identification Using DNA Fingerprinting in Ethiopia

Data ◽  
2021 ◽  
Vol 6 (6) ◽  
pp. 58
Author(s):  
Frederic Kosmowski ◽  
Alemayehu Ambel ◽  
Asmelash Tsegay ◽  
Alemayehu Negawo ◽  
Jason Carling ◽  
...  
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Household Survey ◽  
Variety Identification ◽  
Large Set ◽  
Reference Library ◽  
The Public ◽  
Sorghum Variety ◽  
Large Scale Dataset ◽  
Nationally Representative

The data described in this paper were part of a large-scale nationally representative household survey, the Ethiopian Socioeconomic Survey (ESS 2018/19). Grain samples of barley, maize and sorghum were collected in six regions in Ethiopia. Variety identification was assessed by matching samples to a reference library composed of released improved materials, using approximately 50,000 markers from DArTseq platforms. This data were part of a study documenting the reach of CGIAR-related germplasms in Ethiopia. These objective measures of crop varietal adoption, unique in the public domain, can be analyzed along with a large set of variables related to agro-ecologies, household characteristics and plot management practices, available in the Ethiopian Socioeconomic Survey 2018/19.

scholarly journals Further Understanding Videos through Adverbs: A New Video Task

2020 ◽  
Vol 34 (07) ◽  
pp. 11823-11830 ◽  
Author(s):  
Bo Pang ◽  
Kaiwen Zha ◽  
Yifan Zhang ◽  
Cewu Lu
Keyword(s):  
Action Recognition ◽  
Large Scale ◽  
Recognition Task ◽  
Human Action ◽  
Video Understanding ◽  
The Public ◽  
Large Scale Dataset ◽  
Complete Set ◽  
Standard Action ◽  
Better Than

Video understanding is a research hotspot of computer vision and significant progress has been made on video action recognition recently. However, the semantics information contained in actions is not rich enough to build powerful video understanding models. This paper first introduces a new video semantics: the Behavior Adverb (BA), which is a more expressive and difficult one covering subtle and inherent characteristics of human action behavior. To exhaustively decode this semantics, we construct the Videos with Action and Adverb Dataset (VAAD), which is a large-scale dataset with a semantically complete set of BAs. The dataset will be released to the public with this paper. We benchmark several representative video understanding methods (originally for action recognition) on BA and action recognition. The results show that BA recognition task is more challenging than conventional action recognition. Accordingly, we propose the BA Understanding Network (BAUN) to solve this problem and the experiments reveal that our BAUN is more suitable for BA recognition (11% better than I3D). Furthermore, we find these two semantics (action and BA) can propel each other forward to better performance: promoting action recognition results by 3.4% averagely on three standard action recognition datasets (UCF-101, HMDB-51, Kinetics).

scholarly journals Bibliometric Study

2020 ◽  
Vol 8 (2) ◽  
pp. 230-240
Author(s):  
Drielle da Guia Cintra Ribeiro ◽  
Artur Virgílio Simpson Martins ◽  
Kaio Alexandre da Silva ◽  
Ricardo Alves Oliveira ◽  
Jorge Washington de Amorim Junior ◽  
...  
Keyword(s):  
Balanced Scorecard ◽  
Public Management ◽  
Large Scale ◽  
Management Practices ◽  
Scientific Production ◽  
Web Database ◽  
The Balanced Scorecard ◽  
The Public ◽  
The Matrix ◽  
Quantitative Nature

With the evolution of management practices, new management methods and tools were adopted in public entities in order to optimize the delivery of services to their steakholders. In this scenario, the Balanced Scorecard (BSC) offers an important tool to assist in the strategic management of public entities. Therefore, this work aims to generate a bibliometric analysis of the scientific production on the BSC tool in the public sector in the period of five years (2014-2018), to clarify the functionalities and to survey data through the Web Database of Science. The procedure to perform this review of scientific production involved, initially, access to the database, followed by research by the terms "BSC and Government" and "BSC and Public Management". Afterwards, they were exported and ordered in the matrix in order to perform the analysis of the elements obtained. The methodology used was of a descriptive and quantitative nature. The main results emphasize that the production registered in the database used is scarce, observing that only 27 publications were found in the studied temporal cutout. It also indicates that, in the range comprised, the Brazilian production was on a large scale together with the Australian and Portuguese production equated to other countries contained in the research and, finally, that there is an inconstancy in the publication of articles related to this subject. This article is structured as follows: introduction, theoretical reference, methodology, results and discussions and conclusion.

scholarly journals Advancing Methods for Measurement of Complementary Feeding Interventions and Practices at Scale: Outcomes from Two Rounds of National Surveys in Burkina Faso and Kenya (P10-135-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rebecca Heidkamp ◽  
Audrey Buckland ◽  
Ifta Choiriyyah ◽  
Peter Gichangi ◽  
Georges Guiella ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Cultural Context ◽  
Large Scale ◽  
Complementary Feeding ◽  
Dietary Diversity ◽  
Household Survey ◽  
Household Surveys ◽  
Funding Sources ◽  
Nationally Representative ◽  
Gates Foundation

Abstract Objectives Promotion of improved complementary feeding (CF) practices for children 6–23 m is a priority intervention to prevent stunting and also childhood obesity. However, global household survey programs do not include CF intervention coverage or “unhealthy” diet practices. We aimed to develop and refine indicators and questions for measuring these outcomes in large-scale household surveys. Methods In 2017 and 2018, we carried out nationally-representative household surveys in Burkina Faso (BF) and Kenya (K) that included children 0–59 m and women 10–49 yrs. Over two rounds per country we modified the questionnaire, tools and enumerator training to better capture the intended information. In 2018, we used both prompted and unprompted approaches to ask about specific CF messages received. Results Coverage of any CF counseling among caregivers of 6–23 m olds who received counseling in the specified recall period (within 1 m for 6–11 m olds, within 3 m for 12–23 m olds) remained constant over the two years in both countries (2017: 16% Burkina Faso, 20% Kenya; 2018: 17% Burkina Faso; 18% Kenya). Between years, we changed the structure of questions about the timing of their last counseling visit. The revised 2018 method allowed more flexibility in defining and comparing recall periods by age group (Figure 1). Unprompted questions about CF messages resulted in much lower coverage compared to prompted (Figure 2). The proportion of children achieving minimum dietary diversity increased slightly across years (2017: 16% BF, 40% K; 2018: 20% BF, 43% K). Consumption of unhealthy foods, particularly sugar-sweetened beverages (SSB) increased with age (Figure 3). However, when we excluded “milk tea with sugar” from the SSB definition in Kenya, consumption was only 11% for children 6–59 m. Perceptions around unhealthy foods and SSBs varied by cultural context, making it challenging for enumerators to classify foods into these categories. Conclusions Consideration should be given to recall periods, prompted versus unprompted responses, and culturally appropriate training around dietary data collection to elicit the most accurate results in survey settings. Our findings are generalizable to global and national nutrition surveys programs including the Demographic and Health Survey. Funding Sources Bill & Melinda Gates Foundation. Supporting Tables, Images and/or Graphs

scholarly journals Expanding Inequality: Trends in Educational Stratification during China’s Market Transition

2019 ◽  
Author(s):  
Rob J. Gruijters
Keyword(s):  
Large Scale ◽  
Educational Inequality ◽  
Family Background ◽  
Household Survey ◽  
Transition Process ◽  
Market Transition ◽  
Educational Transitions ◽  
Birth Cohorts ◽  
Process Data ◽  
Nationally Representative

This study looks at educational inequality in China, a country that has greatly expanded access to education in recent decades. It uses a sequential logit model to study the changing impact of family background on educational transitions and educational attainment, comparing birth cohorts that completed their schooling during different stages of the market transition process. Data are derived from the China Family Panel Studies (CFPS), a large and nationally representative household survey that provides detailed retrospective information. The findings show that in reform-era China educational inequality has increased despite large-scale educational expansion. Since the onset of the market reforms the importance of social origin has continuously increased, particularly at the crucial transition to senior high school. I suggest that the resulting pattern of expanding inequality can be explained by a combination of market-based educational reforms, increasing returns to education and massive increases in wider social and economic inequality.

Is economic inequality a universal evil?

2019 ◽  
pp. 91-106 ◽  
Author(s):  
Rostislav I. Kapeliushnikov
Keyword(s):  
Quantitative Data ◽  
Large Scale ◽  
Economic Inequality ◽  
The State ◽  
Fair Play ◽  
Left Wing ◽  
Ordinary People ◽  
The Public ◽  
Discursive Power ◽  
A Current

Using published estimates of inequality for two countries (Russia and USA) the paper demonstrates that inequality measuring still remains in the state of “statistical cacophony”. Under this condition, it seems at least untimely to pass categorical normative judgments and offer radical political advice for governments. Moreover, the mere practice to draw normative conclusions from quantitative data is ethically invalid since ordinary people (non-intellectuals) tend to evaluate wealth and incomes as admissible or inadmissible not on the basis of their size but basing on whether they were obtained under observance or violations of the rules of “fair play”. The paper concludes that a current large-scale ideological campaign of “struggle against inequality” has been unleashed by left-wing intellectuals in order to strengthen even more their discursive power over the public.

Adsorption Isotherm Predictions for Multiple Molecules in MOFs Using the Same Deep Learning Model

2019 ◽  
Author(s):  
Ryther Anderson ◽  
Achay Biong ◽  
Diego Gómez-Gualdrón
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Molecular Simulation ◽  
Large Scale ◽  
Learning Model ◽  
Operating Conditions ◽  
Small Subset ◽  
Screening Methods ◽  
Large Set ◽  
Metal Organic

<div>Tailoring the structure and chemistry of metal-organic frameworks (MOFs) enables the manipulation of their adsorption properties to suit specific energy and environmental applications. As there are millions of possible MOFs (with tens of thousands already synthesized), molecular simulation, such as grand canonical Monte Carlo (GCMC), has frequently been used to rapidly evaluate the adsorption performance of a large set of MOFs. This allows subsequent experiments to focus only on a small subset of the most promising MOFs. In many instances, however, even molecular simulation becomes prohibitively time consuming, underscoring the need for alternative screening methods, such as machine learning, to precede molecular simulation efforts. In this study, as a proof of concept, we trained a neural network as the first example of a machine learning model capable of predicting full adsorption isotherms of different molecules not included in the training of the model. To achieve this, we trained our neural network only on alchemical species, represented only by their geometry and force field parameters, and used this neural network to predict the loadings of real adsorbates. We focused on predicting room temperature adsorption of small (one- and two-atom) molecules relevant to chemical separations. Namely, argon, krypton, xenon, methane, ethane, and nitrogen. However, we also observed surprisingly promising predictions for more complex molecules, whose properties are outside the range spanned by the alchemical adsorbates. Prediction accuracies suitable for large-scale screening were achieved using simple MOF (e.g. geometric properties and chemical moieties), and adsorbate (e.g. forcefield parameters and geometry) descriptors. Our results illustrate a new philosophy of training that opens the path towards development of machine learning models that can predict the adsorption loading of any new adsorbate at any new operating conditions in any new MOF.</div>

KETERTINDASAN MELAYU DALAM CERPEN “SUKU POMPONG” KARYA FEDLI AZIS DAN CERPEN “RUMAH DI UJUNG KAMPUNG” KARYA HANG KAFRAWI

2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Marlina Marlina
Keyword(s):  
Short Stories ◽  
Large Scale ◽  
Social Aspects ◽  
Land Conversion ◽  
The Public ◽  
Historical Reality ◽  
Sociological Approach ◽  
The Social ◽  
Imaginative Literature ◽  
The Village

Reading short stories “Suku Pompong” (Pompong Tribe) and “Rumah di Ujung Kampung” (House at the End of the Village) is like reading a historical reality that is happening on the ground of Riau Malay. The exploitation of forest resources on a large scale in recent decades in Riau Province has changed the land use of the area of intact forest into plantation area. The exploitation process causes friction in the community. The friction is eventually lead to conflict between communities and plantation companies. Their struggle to resolve conflicts and maintain their ancestral land, the strength of the company that has the license to the land and sadness when the public finally has always been on the losing side. This study objected to describe the objective reality of the Malay community in terms of land conversion, the communal land into plantations and reality of imaginative literature contained in the short stories “Suku Pompong” dan “Rumah di Ujung Kampung”. This study applied the sociology of literature approach, while the sociological approach to literature is a literary approach that specializes in reviewing literature by considering the social aspects. Based on these approaches, it can be concluded that short stories Suku Pompong and Rumah di Ujung Jalan are short stories that raised the reality of the Malay community.AbstrakMembaca cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung” seperti membaca sebuah realita sejarah yang terjadi di tanah Melayu Riau. Ekploitasi sumber daya hutan secara besar-besaran pada beberapa dekade terakhir di Provinsi Riau telah mengubah tata guna lahan dari kawasan hutan yang utuh menjadi kawasan perkebunan. Proses eksploitasi tersebut menimbulkan gesekan-gesekan dalam masyarakat. Gesekan-gesekan inilah yang akhirnya menimbulkan konflik antara masyarakat dengan pihak perusahaan perkebunan. Perjuangan masyarakat dalam menyelesaikan konflik dan mempertahankan tanah leluhur mereka, kekuatan pihak perusahaan yang memiliki surat izin atas tanah tersebut, dan kesedihan ketika masyarakat akhirnya selalu berada di pihak yang kalah. Penelitian ini bertujuan untuk mendeskripsikan realitas objektif masyarakat Melayu Riau dalam hal alih fungsi lahan, dari lahan tanah ulayat menjadi lahan perkebunan, dan realititas imajinatif sastra yang terdapat dalam cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung”. Penelitian ini menggunakan pendekatan sosiologi sastra, yaitu suatu pendekatan sastra yang mengkhususkan diri dalam menelaah karya sastra dengan mempertimbangkan segi-segi sosial kemasyarakatan. Dari pendekatan tersebut dapat diambil kesimpulan bahwa cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung” memang merupakan cerpen yang mengangkat realitas masyarakat Melayu Riau.

Population Growth and Waste Management in Metropolitan Lagos

2013 ◽  
Vol 11 (2) ◽  
Author(s):  
Femi O. Omololu ◽  
Akinmayowa S. Lawal
Keyword(s):  
Waste Management ◽  
Population Growth ◽  
Management Practices ◽  
Public Private Partnership ◽  
Household Waste ◽  
Waste Generation ◽  
Private Partnership ◽  
The Public ◽  
Lagos State ◽  
Waste Management Practices

This paper examines the influence of population growth on waste generation in Lagos metropolis, African’s most populous urban conglomeration. Using both quantitative and qualitative methods, the study analyses the pattern of household waste disposal, collection and transportation in Lagos State. It also examines the public-private partnership strategy adopted in waste management. The findings show that population growth significantly influences waste generation and management in Lagos metropolis. As the population increased, the volume of waste generated also increased in each LGA of Lagos State. The public-private partnership strategy has been effective in managing waste, but the Lagos State Waste Management Authority oversight was adjudged as less than satisfactory. The paper concludes that intervention is needed in terms of educating the growing population of the Lagos metropolis on the best waste management practices. It highlights the need for a more efficient and effective publicprivate partnership collaboration to solve this perennial social problem.

Sign in / Sign up

Export Citation Format

Share Document