scholarly journals Analysis of the Recycling Sector in Intermediate Cities. Study Case – Neiva, Colombia

2020 ◽  
Vol 22 (2) ◽  
pp. 1-10
Author(s):  
Christian Felipe Valderrama ◽  
Juan D. Ortiz ◽  
Maria M. Usa ◽  
Oscar I. Borrero
Keyword(s):  
Field Survey ◽  
Union Official ◽  
Mixed Analysis ◽  
Transportation Process ◽  
Study Case ◽  
Unsafe Condition ◽  
High Level ◽  
Official Information ◽  
Significant Factors ◽  
Waste Pickers

The economic activity of recycling belongs to an unfortunate and marginalized segment of society in Colombia. This fact translates in high rates of informality and a general perception about people that work in this activity, which come usually from extreme poverty, burdened by discrimination, drug addiction, and rejection. The goal of this research was to determine the most significant factors impacting levels of society and economics. For this purpose, we carried out a mixed analysis in the chain of the recycling sector in Neiva, an intermediate city. Because of the informality of waste pickers’ union, official information and field survey were conducted to identify the waste commercialization establishments. The collection and transportation process were identified, and a survey was applied to 50 waste pickers and ten recycling companies. Seventy-two percent of the population is constituted by male gender, older than 25 years, in an unsafe condition, and with labor intensity of 8 hours per day (average). On the other hand, forty percent of companies have labor-related personnel, which confirms a high level of informality in the sector. The most commercialized product is cardboard, and the vast majority only purchase and commercialize the material.

Morphological traits of the development of the skin and wool cover in sheep of Prikatunsky meat and wool type

2021 ◽  
pp. 60-68
Author(s):  
I. I. Dmitrik ◽  
G. V. Zavgorodnyaya ◽  
M. I. Pavlova ◽  
N. A. Podkorytov
Keyword(s):  
Physical Properties ◽  
Morphological Traits ◽  
Age Groups ◽  
Body Side ◽  
Low Level ◽  
Research Material ◽  
High Level ◽  
Significant Factors

A large number of works are devoted to the development of the skin and hair cover of sheep, depending on their breed affiliation, age, feeding conditions and housing. The authors point out that along with other conditions the quality of wool and wool clip is greatly influenced by the conditions of the feeding of animals. A high level of feeding increases the wool clip and improves the quality of the wool and vice versa a low level reduces, causes thinning and worsens other physical properties of the wool. As is known, one of the significant factors that determine the increase in wool clip is the size of the animal and, consequently, the total area of the skin. The purpose of the research was to investigate the morphological traits of the development of the skin and wool cover in sheep of Prikatunsky meat and wool type. The research material was wool samples from four topographic areas of the animal’s body (side/thigh/back/belly) and skin (side) of different sex and age groups, selected from the animals of the studied groups. In the course of research, the quality of wool and indicators of the histostructure of the skin of Prikatunsky meat and wool type of sheep have been investigated. In terms of thick-haired of wool, replacement rams and gimbers of Prikatunsky meat and wool type of sheep were superior by 4,82 pcs. per mm² or 19,0 % and 4,41 pcs. per mm² or 15,8 % of adult animals, respectively. Balance secondary follicles/primary follicles in young animals were higher by 10,3 and 17,3 % compared to breeding rams and ewes. The wool of the replacement young animals was thinner by 7,28 and 4,78 microns and they were more thick-haired. The obtained data will be used in the mating campaign when mating program rams in order to improve the sheep of Prikatunsky meat and wool type.

A Comparison of Intergenerational Service-Learning and Traditional Pedagogy among Undergraduate Psychology Students

2019 ◽  
Vol 18 (2) ◽  
pp. 179-196 ◽  
Author(s):  
Renee' A. Zucchero ◽  
Jennifer E. Gibson
Keyword(s):  
Service Learning ◽  
Analysis Of Variance ◽  
Self Efficacy ◽  
Educational Context ◽  
Social Citizenship ◽  
Significant Group ◽  
Mixed Analysis ◽  
Methodological Rigor ◽  
High Level ◽  
Traditional Pedagogy

This study examined student outcomes of participating in a semester-long, intergenerational service-learning course compared to a traditional pedagogy course. At the beginning and end of the semester, students ( N = 161) voluntarily completed a series of measures assessing six outcomes across four domains: personal, social, citizenship, and academic. Results from mixed analysis of variance and multivariate analysis of variance tests suggest service-learning students only outperformed the traditional pedagogy group on self-efficacy for community service (i.e., a personal outcome). Service-learning students maintained a high level of self-efficacy across the semester, while the self-efficacy of those in traditional pedagogy courses declined. There were no significant group differences over time in social, citizenship, or academic outcomes. These results suggest more tempered support for service-learning than many previous studies. Factors potentially affecting the results include the service-learning dosage, broader educational context, and methodological rigor. Future studies may further illuminate possible effects of the educational context.

scholarly journals Efektivitas Terapi Kelompok terhadap Test Anxiety dan Self Efficacy pada Mahasiswa

2018 ◽  
Vol 2 (1) ◽  
pp. 31-48
Author(s):  
Ilham Anggi Putra ◽  
Lifina Dewi Pohan
Keyword(s):  
College Students ◽  
Group Therapy ◽  
Test Anxiety ◽  
Self Efficacy ◽  
Learning Strategy ◽  
Academic Adjustment ◽  
Single Case ◽  
High Level ◽  
Significant Factors

School examination or test describes as an evaluative situation that requires students to do some task with certain limit of time and in a propriate place. Other wise, test or exam is one significant factors that influence higher level of test anxiety, so some students might fail on the test. Self efficacy plays an important role toward academic consistency, academic adjustment, better learning strategy and good academic function. The aim of this study is to decrease test anxiety and increase self efficacy among students with group therapy. The participant of this study characterized by high level of test anxiety and low self efficacy.. This study use single case AB design with 3 steps of measurement : baseline, 4 session execution and follow up. The results shown that group therapy effective to decreasing level of test anxiety and increasing level of self efficacy among college students.

scholarly journals Framework for enhancing the estimation of model parameters for data with a high level of uncertainty

2021 ◽  
Author(s):  
Gustavo B Libotte ◽  
Lucas Anjos ◽  
Regina Almeida ◽  
Sandra Malta ◽  
Renato Silva
Keyword(s):  
Large Scale ◽  
Compartmental Model ◽  
Gaussian Process Regression ◽  
Predictive Ability ◽  
Model Parameters ◽  
Study Case ◽  
Estimation Of Model Parameters ◽  
Reported Data ◽  
High Level ◽  
Political Economic

Abstract Reliable data is essential to obtain adequate simulations for forecasting the dynamics of epidemics. In this context, several political, economic, and social factors may cause inconsistencies in the reported data, which reflect the capacity for realistic simulations and predictions. In the case of COVID-19, for example, such uncertainties are mainly motivated by large-scale underreporting of cases due to reduced testing capacity in some locations. In order to mitigate the effects of noise in the data used to estimate parameters of models, we propose strategies capable of improving the ability to predict the spread of the diseases. Using a compartmental model in a COVID-19 study case, we show that the regularization of data by means of Gaussian Process Regression can reduce the variability of successive forecasts, improving predictive ability. We also present the advantages of adopting parameters of compartmental models that vary over time, in detriment to the usual approach with constant values.

scholarly journals Studies on the causes of landslides for mountainous regions in central region of Vietnam

2019 ◽  
Vol 17 (12.1) ◽  
pp. 29
Author(s):  
Công Nguyễn Chí
Keyword(s):  
Statistical Analysis ◽  
Central Region ◽  
Field Survey ◽  
Social Economic ◽  
Impact Factors ◽  
Mountain Area ◽  
Mountainous Regions ◽  
Long Duration ◽  
Social Economic Development ◽  
Significant Factors

Landslide is a complex geo-hazard which impacts on sustainable social-economic development in the mountain area. This phenomenon is a result of a combination of critical natural and artificial conditions of many impact factors such as topographic attribute, infrastructure constructions, geology, land cover, and rainfall. Estimating the contribution weights of these factors plays a significant role in disaster management activities. This study focuses on three provinces which are Hue, Quang Nam and Quang Ngai which are frequently and severely impacted by landslide in the central region of Vietnam. Historical events are investigated by statistical analysis, field survey with supports from GIS to figure out these significant factors to landslide occurring in the study area. The result has illustrated landslide increases, according to the development of human activities and long duration critical rainfall.

scholarly journals Spatiotemporal Variation of Pb Content Source Transportation in Jiaozhou Bay

2020 ◽  
Vol 185 ◽  
pp. 02014
Author(s):  
Dongfang Yang ◽  
Hong Zhu ◽  
Longlei Zhang ◽  
Qi Wang ◽  
Haixia Li
Keyword(s):  
Water Body ◽  
Change Process ◽  
Block Diagram ◽  
Jiaozhou Bay ◽  
Ocean Current ◽  
Delivery Time ◽  
Transportation Process ◽  
High Level ◽  
Migration Law ◽  
Very High

Based on research data of the Jiaozhou Bay waters in May, August, and October 1992, the current transportation process and the various sources of Pb contents in the Jiaozhou Bay water body were studied. According to the Yang Dongfang migration law of the content, the results show that: after the ocean current with high levels of Pb content enters the Jiaozhou Bay, spatial change process of the sources carrying Pb content in May, August and October is shown with the transportation of the ocean current. Also, the model block diagram is used to reveal the change process of Pb content imported by ocean currents into the waters of Jiaozhou Bay. The location, magnitude, type, and time of the four sources of Pb content in the waters of Jiaozhou Bay were determined, which are the transportation of ships and terminals, surface runoffs, rivers, and offshore currents. Pb content of surface runoff transport is relatively low, and the transport time is short. Whereas Pb content of the ship terminal is increasing, and the time of transportation is also raising. And the content of Pb transported by rivers is the highest, and it has been transporting from land to sea nonstop throughout the year. Offshore currents carry a very high level of Pb content and constantly transporting it to the water body with low content of Pb. During the year, ships and terminals, land, and rivers were heavily polluted by Pb content, as well as the entire ocean. Among the rivers entering the sea around Jiaozhou Bay, there are four main ones: Haibo River, Licun River, Loushan River, and Dagu River. The sequence of Pb content transported by the rivers from high to low is listed as following: Licun River>Loushan River>Dagu River>Haibo River. The delivery time of Pb content in Licun River is the longer as delivery time in Haibo River, Loushan River and Dagu River is the same. Therefore, it is necessary to strictly control the Pb content from river transportation.

scholarly journals Social Responsibility At The Academic Level. Study Case: The University Of Bucharest

2010 ◽  
Author(s):  
Paul Marinescu ◽  
Sorin Toma ◽  
Ionut Constantin
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Transnational Corporations ◽  
Academic Level ◽  
Major Subject ◽  
The Social ◽  
Study Case ◽  
High Level ◽  
Corporate Social ◽  
The University

In the last decades the corporate social responsibility (CSR) has been a major subject both for universities, civil society and businesses. Although the CSR concept is especially promoted by large multinational and transnational corporations, it has become also a prominent issue for universities. Social responsibility represents more than a challenge for universities. It has to be a purpose of the universities, taking into account that young people formation also means creating a high level of awareness about the need to involve members of society in solving social problems. Our paper contributes for better clarifying the CSR concept and presents as a study case some of initiatives of the University of Bucharest related to the social responsibility.

Landslide detection by machine learning on high-resolution DEMs

2021 ◽  
Author(s):  
Mihai Niculita
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Binary Classification ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Single Event ◽  
High Resolution Data ◽  
Susceptibility Modeling ◽  
Study Case ◽  
High Level

<p>Machine learning algorithms are increasingly used in geosciences for the detection of susceptibility modeling of certain landforms or processes. The increased availability of high-resolution data and the increase of available machine learning algorithms opens up the possibility of creating datasets for the training of models for automatic detection of specific landforms. In this study, we tested the usage of LiDAR DEMs for creating a dataset of labeled images representing shallow single event landslides in order to use them for the detection of other events. The R stat implementation of the keras high-level neural networks API was used to build and test the proposed approach. A 5m LiDAR DEM was cut in 25 by 25 pixels tiles, and the tiles that overlayed shallow single event landslides were labeled accordingly, while the tiles that did not contain landslides were randomly selected to be labeled as non-landslides. The binary classification approach was tested with 255 grey levels elevation images and 255 grey levels shading images, the shading approach giving better results. The presented study case shows the possibility of using machine learning in the landslide detection on high-resolution DEMs.</p>

scholarly journals Levels of career commitment and career entrenchment of nurses from public and private hospitals

2015 ◽  
Vol 23 (6) ◽  
pp. 1033-1040 ◽  
Author(s):  
Mauren Pimentel Lima ◽  
Vânia Medianeira Flores Costa ◽  
Luis Felipe Dias Lopes ◽  
Laércio André Gassen Balsan ◽  
Andressa Schaurich dos Santos ◽  
...  
Keyword(s):  
Data Analysis ◽  
Field Survey ◽  
Career Commitment ◽  
Descriptive Statistics ◽  
Private Hospitals ◽  
Public And Private ◽  
Sociodemographic Data ◽  
Median Level ◽  
Public And Private Hospitals ◽  
High Level

Objective: to determine the prevalence of the types of relations to career - commitment and entrenchment - of nurses from public and private hospitals. Methods: field survey with a quantitative approach. A total of 237 nurses participated in the survey through a questionnaire with 43 questions about sociodemographic data, occupation, and relation to career. Descriptive statistics, frequency analysis, and Mann-Whitney U test were used for data analysis. Results: nurses from public and private hospitals have a high level of career commitment and a median level of career entrenchment. Conclusions: nurses have a stronger relation of affection and identification to career than a relation of stagnation, maintained primarily due to investments, followed by emotional costs and lack of alternatives. This fact is associated with individuals continuing in nursing and having a strong commitment to activities.

On-site construction productivity in Malaysian infrastructure projects

2016 ◽  
Vol 34 (4/5) ◽  
pp. 446-462 ◽  
Author(s):  
Serdar Durdyev ◽  
Syuhaida Ismail
Keyword(s):  
Construction Industry ◽  
Design Methodology ◽  
Time Cost ◽  
Content Type ◽  
Construction Productivity ◽  
Risk Levels ◽  
Effective Manner ◽  
Improvement Measures ◽  
High Level ◽  
Significant Factors

Purpose The purpose of this paper is to examine the factors constraining the on-site construction productivity and measures for its improvement in Malaysian construction industry. Design/methodology/approach Questionnaire survey is administered to 171 respondents, comprising government authorities and construction players. A total of 39 constraints are found to be significant factors in various risk levels. Findings Consequently, improvement measures are recommended addressing those constraints to on-site construction productivity. It is believed that the findings of this study will assist in achieving high level of on-site construction productivity by focusing and acting upon the most risky constraints, where construction players in Malaysia could be guided well in their efforts in a time-, cost- and quality-effective manner. Originality/value It is believed that the findings of this study will assist in achieving high level of on-site construction productivity by focusing and acting upon the most risky constraints, where construction players in Malaysia could be guided well in their efforts in a time-, cost- and quality-effective manner.

Sign in / Sign up

Export Citation Format

Share Document