scholarly journals Knowledge of Tuberculosis among Tuberculosis Patients Attending Federal Medical Centre, Owo, Ondo State, Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 138-143
Author(s):  
Seun Nurudeen Akorede ◽  
Ayodotun Edward Ajayi ◽  
Peter Oluwatimilehin Tawose
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Correlation Coefficient ◽  
Signs And Symptoms ◽  
Sampling Procedure ◽  
Medical Centre ◽  
Tuberculosis Patients ◽  
Ondo State ◽  
Mode Of Transmission ◽  
Multistage Sampling

Globally, tuberculosis (TB) constitutes a significant public health emergency. Despite the downward trend in TB incidence and prevalence, every continent still reports new cases, especially Africa and south-east Asia (WHO, 2012). This study aimed to investigate the signs, symptoms, transmission mode, and knowledge of tuberculosis (TB) among tuberculosis patients attending Federal Medical Centre, Owo, Ondo State Nigeria. A descriptive survey design was adopted, while sample population comprised of all the aforementioned tuberculosis patients.  About 151 persons were selected using Multistage sampling procedure. A closed-ended questionnaire collection was used for data collection and the instrument was validated by experts with ascertained reliability. The data were then subjected to statistical analysis of Cronbach's alpha, and a correlation coefficient of 0.76 was obtained.  Conclusively, the patients have knowledge of TB signs and symptoms as well as transmission mode. Therefore, this knowledge is recommended to be sustained among the patients. Multistage sampling procedure was used to select one hundred and fifty-one (151) a researcher’s designed closed-ended questionnaire was used for data collection. The instrument was validated by experts with reliability ascertained. The data obtained were subjected to statistical analysis of Cronbach alpha and a correlation coefficient of 0.76 was obtained. The findings reveals that: Tuberculosis patients have knowledge of signs and symptoms of TB, Tuberculosis patients have knowledge of mode of transmission of TB Therefore, the study concluded that tuberculosis patients have knowledge of mode of transmission, signs and symptoms of TB. Therefore, it is recommended that the knowledge of mode of transmission and symptoms of TB should be sustained among the patients.

scholarly journals Analysis of Profitability and Market Outlets of Smallholder Garri Producers in Ondo State, Nigeria

2021 ◽  
pp. 82-91
Author(s):  
O. A. Aturamu ◽  
A. E. Akinbola ◽  
O. O. Omosehin ◽  
D. T. Oguntuase
Keyword(s):  
Sampling Procedure ◽  
Primary Data ◽  
Open Market ◽  
Gross Margin ◽  
Education Experience ◽  
Factors Influencing ◽  
Ondo State ◽  
Multistage Sampling ◽  
Cost Of Transportation ◽  
Structured Questionnaire

Aims: To ascertain the socio-economic characteristics of the respondents, identify the market outlets available in the area, estimate the profitability of garri processors, determine factors influencing the choice of market outlet employed by the processors, and identify the main constraints faced in processing garri in the area. Study Design: Primary data were used for this study and sourced through a well-structured questionnaire. Place and Duration of Study: The study was carried out among garri producers in Ondo State, Nigeria, between June and November, 2020. Methodology: A multistage sampling procedure was used to select 120 respondents, while descriptive statistics, budgetary technique, and multinomial logit (MNL) regression were used for the data analysis. Results: The results revealed that female (63.3%) dominated the enterprise, and about 81.6% of them were married. The average age was 49 years old, and many (80%) of them were literate. The result established three main market outlets and they are: producer gate (43.3%), open market (20.0%), and middlemen (36.7%). The result of budgetary technique revealed that the venture is profitable given the values of gross margin and profit as 82,972.58 and 71,694.68, respectively. The value (2.37) of return on investment, indicating that about 2.37 was realized for every naira spent. The result of MNL affirmed that marital status, education, experience and profit accrued were the significant factors influencing the choice of market outlet in the area. It was unveiled that price fluctuations, poor road network and high cost of transportation were the main constraints faced by the garri processors in the area. Conclusion: The policy implication is that garri production business is viable, therefore it is capable to reduce hunger and poverty if properly managed with functioning and organized market outlets and structure.

How Art Works

2018 ◽  
Author(s):  
Ellen Winner
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Social Science ◽  
Modern Art ◽  
Hard Work ◽  
Objective Truth ◽  
The Arts ◽  
Art Form ◽  
Art Works ◽  
Truth Value

This book is an examination of what psychologists have discovered about how art works—what it does to us, how we experience art, how we react to it emotionally, how we judge it, and what we learn from it. The questions investigate include the following: What makes us call something art? Do we experience “real” emotions from the arts? Do aesthetic judgments have any objective truth value? Does learning to play music raise a child’s IQ? Is modern art something my kid could do? Is achieving greatness in an art form just a matter of hard work? Philosophers have grappled with these questions for centuries, and laypeople have often puzzled about them too and offered their own views. But now psychologists have begun to explore these questions empirically, and have made many fascinating discoveries using the methods of social science (interviews, experimentation, data collection, statistical analysis).

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

scholarly journals 907. Technology and Medicine: Prediction of Surgical Site Infection in Clean Surgeries using Artificial Neural Networks

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S487-S487
Author(s):  
Flávio Henrique Batista de Souza ◽  
Braulio Roberto Gonçalves Marinho Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Infection Control ◽  
Surgical Site Infection ◽  
Predictive Power ◽  
Hospital Infection ◽  
Automated System ◽  
Site Infection ◽  
Average Hospital ◽  
Hospital Infection Control

Abstract Background In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital Infection Control. So, three procedures were performed: a treatment of the collected database for use of intact samples; a statistical analysis on the profile of the collected hospitals; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction. The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve - ranging from 0 to 1) presented for each of the configurations. Results From 45,990 records, 12,811 were able for analysis. The statistical analysis results were: the average age is 49 years old (predominantly between 30 and 50); the surgeries had an average time of 134.13 minutes; the average hospital stay is 4 days (from 0 to 200 days), the death rate reached 1% and the SSI 1.49%. A maximum prediction power of 0.742 was found. Conclusion There was a loss of 60% of the database samples due to the presence of noise. However, it was possible to have a relevant sample to assess the profile of these six hospitals. The predictive process, presented some configurations with results that reached 0.742, what promises the use of the structure for the monitoring of automated SSI for patients submitted to surgeries considered clean. To optimize data collection, enable other hospitals to use the prediction tool and minimize noise from the database, two mobile application were developed: one for monitoring the patient in the hospital and other for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br. Disclosures All Authors: No reported disclosures

scholarly journals A Learning Analytics Framework to Analyze Corporal Postures in Students Presentations

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1525
Author(s):  
Felipe Vieira ◽  
Cristian Cechinel ◽  
Vinicius Ramos ◽  
Fabián Riquelme ◽  
Rene Noel ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Pattern Mining ◽  
New Technologies ◽  
Personal Information ◽  
Sequential Pattern Mining ◽  
Complex Problem ◽  
Sequential Pattern ◽  
Background Information ◽  
Professional Relationships

Communicating in social and public environments are considered professional skills that can strongly influence career development. Therefore, it is important to proper train and evaluate students in this kind of abilities so that they can better interact in their professional relationships, during the resolution of problems, negotiations and conflict management. This is a complex problem as it involves corporal analysis and the assessment of aspects that until recently were almost impossible to quantitatively measure. Nowadays, a number of new technologies and sensors have being developed for the capture of different kinds of contextual and personal information, but these technologies were not yet fully integrated inside learning settings. In this context, this paper presents a framework to facilitate the analysis and detection of patterns of students in oral presentations. Four steps are proposed for the given framework: Data collection, Statistical Analysis, Clustering, and Sequential Pattern Mining. Data Collection step is responsible for the collection of students interactions during presentations and the arrangement of data for further analysis. Statistical Analysis provides a general understanding of the data collected by showing the differences and similarities of the presentations along the semester. The Clustering stage segments students into groups according to well-defined attributes helping to observe different corporal patterns of the students. Finally, Sequential Pattern Mining step complements the previous stages allowing the identification of sequential patterns of postures in the different groups. The framework was tested in a case study with data collected from 222 freshman students of Computer Engineering (CE) course at three different times during two different years. The analysis made it possible to segment the presenters into three distinct groups according to their corporal postures. The statistical analysis helped to assess how the postures of the students evolved throughout each year. The sequential pattern mining provided a complementary perspective for data evaluation and helped to observe the most frequent postural sequences of the students. Results show the framework could be used as a guidance to provide students automated feedback throughout their presentations and can serve as background information for future comparisons of students presentations from different undergraduate courses.

Growth Analysis and the Determinants of Entrepreneurial Orientation in the Small-Scale Poultry Subsector in Delta State, Nigeria

2020 ◽  
Vol 10 (4) ◽  
pp. 764-772
Author(s):  
Roli Juliet Egbe ◽  
Achoja Roland Onomu ◽  
Pius Chinwuba Ike ◽  
Isiorhovoja Rodney Akpoviri
Keyword(s):  
Entrepreneurial Orientation ◽  
Sampling Procedure ◽  
Primary Data ◽  
Small Scale ◽  
Growth Trend ◽  
Stock Size ◽  
Lag Model ◽  
Multistage Sampling ◽  
Gross Margins ◽  
Poultry Farming

Entrepreneurial orientation is vital to growth and development, but lacking in many small-scale enterprises. This study investigated growth and entrepreneurial orientation in the small-scale poultry subsector of Delta State, Nigeria. It also ascertained the drivers of poultry entrepreneurial orientation in the study area. A multistage sampling procedure was used to collect primary data from 180 poultry farmers, through a questionnaire. A four-point Likert scale of five items was used to measure entrepreneurial orientation from innovativeness, proactiveness, and risk-taking. The data were analyzed using descriptive and inferential statistics, including gross margins, an autoregressive lag model, and logistic regression. The majority (57.7%) of the farmers are female. The small-scale poultry entrepreneurs had an orientation that was above average. The autoregressive lag model result indicated an increase in stock size and gross margins of poultry enterprises. It was forecast that the growth trend would increase up to 2022. Furthermore, the ANOVA result was statistically significant at 0.002*** and 0.001*** for stock size and gross margins, respectively. Years of experience and training in poultry farming and noninvolvement of entrepreneurs in other occupations influence their entrepreneurial orientation. Poultriy entrepreneurs must be trained while they adopt poultry farming as their principal occupation.

PENGARUH PERSONAL SELLING TERHADAP PENCAPAIAN TARGET PENJUALAN (STUDI KASUS PT. SETIAWAN SEDJATI)

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Ranty Octavianita ◽  
Eki Dudi Darmawan
Keyword(s):  
Data Collection ◽  
Correlation Coefficient ◽  
Research Method ◽  
Quantitative Methods ◽  
Personal Selling ◽  
Strong Relationship ◽  
Regression Equation ◽  
T Test ◽  
Coefficient Of Determination ◽  
Sample Data

The existence of instability in the value of sales is an important evaluation that must be carried out by management. The purpose of this study is to determine the effect of Personal Selling on Sales Targets at PT. Setiawan Sedjati. The location of data collection is done at PT. Setiawan Sedjati Bandung. The research method uses quantitative methods. This research is a descriptive correlation with sample data collection using the Slovin formula. A total of 67 respondents were used as samples in this study consisting of employees of the marketing division and customers of PT. Setiawan Sedjati. The existing samples were then processed using SPSS Statistic Software version 26. Based on the processed data, the results of the regression equation Y = 20.478 + 0.182x. Then the correlation coefficient value of 0.747, it can be said that these results have a strong relationship between variables. The value of the coefficient of determination is 55.8%. The calculated value of 9.068 > 2.6512 this result shows a significant increase between variables on the t-test. It can be concluded that H1 accepted and H0 rejected, namely the variable personal selling. The variable personal selling has an influence on sales.

scholarly journals Data collection and advanced statistical analysis in phytotoxic activity of aerial parts exudates of Salvia spp

2011 ◽  
Vol 21 (5) ◽  
pp. 856-863 ◽  
Author(s):  
M. Giacomini ◽  
A. Bisio ◽  
E. Giacomelli ◽  
S. Pivetti ◽  
S. Bertolini ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Phytotoxic Activity ◽  
Aerial Parts

scholarly journals PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE STAD TERHADAP DAYA INGAT DAN HASIL BELAJAR SISWA PADA MATERI HIDROLISIS GARAM KELAS XI IPA SMA KEMALA BHAYANGKARI 1 SUNGAI RAYA

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Sahara Sahara ◽  
Dedeh Kurniasih ◽  
Rizmahardian Azhari Kurniawan
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Cooperative Learning ◽  
Learning Outcomes ◽  
Effect Size ◽  
Teaching Method ◽  
Control Group ◽  
Learning Method ◽  
Control Group Design ◽  
And Control

ABSTRACT The process of learning chemistry which only focused on teacher as informant caused the students’ memory lower. This could make the students’ learning outcomes lower, thus, it was needed STAD type of Cooperative Learning Method which had the process of interaction between student and teacher, and could help the students comprehend the material. Therefore, it was necessary to make a research which had the purpose to know the difference between students’ learning outcomes and memory which used STAD type ofCooperative Learning Method and lectures teaching method as well as how large the effect of STAD type of Cooperative Learning Method on salt hydrolysis material was. This research was Quasi Experimental Nonequivalent Control Group Design. The sample of the research was choosen by using saturated sampling which XI IPA 1 as experimental class and XI IPA 2 as control class. The techniques of data collection used measurement technique, observation, and interview while the tools of data collection used tests such as essayquestion, observation sheet, and interview guide. The statistical analysis of posttest result using U-man whitney test obtained significant value 0.000. This value was smaller than α (0.005) which meant that there was difference in learning outcome between experimental and control class. The statistical analysis result of U-man whitney delayed test obtained significant value 0.006, this value was smaller than α (0.005) which meant that there was difference between students’ memory in experimental and control class. The calculation of effect size showed value 1.64 with high criteria which gave high effect on students’ learning outcomes which was 44.95%, while the calculation of students’ memory effect size showed value 0.69 with moderate criteria which gave effect on students’ memory which was 26,42%. Keywords : Memory, Learning Outcomes, Salt Hydrolysis, STAD type of Cooperative Learning Method

scholarly journals Economic analysis of smallholder maize farmers: implications for public extension services in Eastern Cape

2020 ◽  
Vol 48 (2) ◽  
Author(s):  
I. K. Agbugba ◽  
M. Christian ◽  
A. Obi
Keyword(s):  
Smallholder Farmers ◽  
Sampling Procedure ◽  
Land Acquisition ◽  
Smallholder Farmer ◽  
Eastern Cape ◽  
Gross Margin ◽  
Profitability Analysis ◽  
Household Heads ◽  
Multistage Sampling ◽  
Gross Margins

ABSTRACT This study sought to determine the economics of maize farmers in Amatole District, Eastern Cape. Multistage sampling procedure was used to select hundred and nine (109) smallholder farmers (homestead and irrigators). Descriptive statistics and gross margin analysis were used to determine the economics and profitability of maize in the study area. Findings indicated that majority (66 per cent) of them were men with an average age of 61 years old, majority (69 per cent) were married, with mean household size of 4 persons and household heads having some primary education. Moreover, majority (76 per cent) of the farmers depended on irrigation technology; majority (33 per cent) of the famers spent between 9 and 11 years of experience in farming; majority (89 per cent) of the respondents in the study area were dependent on farming as their major occupation and livelihood. Pertaining to land acquisition, majority (48%) of the farmers believed that the traditional or community leaders set rules and regulations regarding land acquisition. From the profitability analysis, smallholder farmer irrigators generated significantly higher yield, total revenues and gross margins more than the homestead gardeners at 5, 10 and 5 per cent levels, respectively. Moreover, homestead gardeners spent more money in purchase of inputs and this may have contributed to their low gross margins. On the other hand, smallholder-farmer irrigators who incur less input costs have higher chances of benefiting from price discounts and transport offer by input suppliers than the homestead gardeners. This results in smallholder farmer irrigators wielding more profits, thereby creating more income and wealth which is pivotal in the improvement of farmers' livelihoods. Keywords: Economics, profitability, Maize farmers, Extension service, Eastern Cape.

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