Search results for: physiological data extraction
19021 A Mixed Expert Evaluation System and Dynamic Interval-Valued Hesitant Fuzzy Selection Approach
Authors: Hossein Gitinavard, Mohammad Hossein Fazel Zarandi
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In the last decades, concerns about the environmental issues lead to professional and academic efforts on green supplier selection problems. In this sake, one of the main issues in evaluating the green supplier selection problems, which could increase the uncertainty, is the preferences of the experts' judgments about the candidate green suppliers. Therefore, preparing an expert system to evaluate the problem based on the historical data and the experts' knowledge can be sensible. This study provides an expert evaluation system to assess the candidate green suppliers under selected criteria in a multi-period approach. In addition, a ranking approach under interval-valued hesitant fuzzy set (IVHFS) environment is proposed to select the most appropriate green supplier in planning horizon. In the proposed ranking approach, the IVHFS and the last aggregation approach are considered to margin the errors and to prevent data loss, respectively. Hence, a comparative analysis is provided based on an illustrative example to show the feasibility of the proposed approach.Keywords: green supplier selection, expert system, ranking approach, interval-valued hesitant fuzzy setting
Procedia PDF Downloads 32219020 Patient Agitation and Violence in Medical-Surgical Settings at BronxCare Hospital, Before and During COVID-19 Pandemic; A Retrospective Chart Review
Authors: Soroush Pakniyat-Jahromi, Jessica Bucciarelli, Souparno Mitra, Neda Motamedi, Ralph Amazan, Samuel Rothman, Jose Tiburcio, Douglas Reich, Vicente Liz
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Violence is defined as an act of physical force that is intended to cause harm and may lead to physical and/or psychological damage. Violence toward healthcare workers (HCWs) is more common in psychiatric settings, emergency departments, and nursing homes; however, healthcare workers in medical setting are not spared from such events. Workplace violence has a huge burden in the healthcare industry and has a major impact on the physical and mental wellbeing of staff. The purpose of this study is to compare the prevalence of patient agitation and violence in medical-surgical settings in BronxCare Hospital (BCH) Bronx, New York, one year before and during the COVID-19 pandemic. Data collection occurred between June 2021 and August 2021, while the sampling time was from 2019 to 2021. The data were separated into two separate time categories: pre-COVID-19 (03/2019-03/2020) and COVID-19 (03/2020-03/2021). We created frequency tables for 19 variables. We used a chi-square test to determine a variable's statistical significance. We tested all variables against “restraint type”, determining if a patient was violent or became violent enough to restrain. The restraint types were “chemical”, “physical”, or both. This analysis was also used to determine if there was a statistical difference between the pre-COVID-19 and COVID-19 timeframes. Our data shows that there was an increase in incidents of violence in COVID-19 era (03/2020-03/2021), with total of 194 (62.8%) reported events, compared to pre COVID-19 era (03/2019-03/2020) with 115 (37.2%) events (p: 0.01). Our final analysis, completed using a chi-square test, determined the difference in violence in patients between pre-COVID-19 and COVID-19 era. We then tested the violence marker against restraint type. The result was statistically significant (p: 0.01). This is the first paper to systematically review the prevalence of violence in medical-surgical units in a hospital in New York, pre COVID-19 and during the COVID-19 era. Our data is in line with the global trend of increased prevalence of patient agitation and violence in medical settings during the COVID-19 pandemic. Violence and its management is a challenge in healthcare settings, and the COVID-19 pandemic has brought to bear a complexity of circumstances, which may have increased its incidence. It is important to identify and teach healthcare workers the best preventive approaches in dealing with patient agitation, to decrease the number of restraints in medical settings, and to create a less restrictive environment to deliver care.Keywords: COVID-19 pandemic, patient agitation, restraints, violence
Procedia PDF Downloads 13919019 Perceived Effect of Livelihood Diversification on the Welfare of Rural Households in Niger State, Nigeria
Authors: Oladipo Joseph Ajayi, Yakubu Muhammed, Raufu Olusola Sanusi
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This study determined the perceived effect of livelihood diversification on welfare of rural household in Niger state, Nigeria. Multi-stage sampling technique was adopted for sampling the respondents. Data used for the study were obtained from primary source. Structured questionnaire with interview schedule was administered to 180 randomly selected rural farmers in the study area. Descriptive statistics analysis and z-test statistics were used to analyse the data collected. The study revealed the mean age of the household to be 43 years, mean years of schooling was 8.5, mean household size was 6 people, mean farming experience of 17.5 years and mean farm size of 1.8 hectares. The effect of livelihood diversification revealed that livelihood diversification had positive and significant effect on food security (65.6%) and income generation (66.8%) in the study area. The major constraints to diversification in the study area were poor infrastructure, unavailability of credit and climatic risk and uncertainty. The study, therefore, recommended that rural household should be sensitised to diversify their income source into non-farm activities.Keywords: income, livelihood diversification , rural household, welfare
Procedia PDF Downloads 40819018 Reasons for Study of Evening Class Students, Faculty of Industrial Technology, Suan Sunandha Rajabhat University
Authors: Luedech Girdwichai, Ratchasak Sannok, Jeeranan Wueamprakhon
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This research aims to study reasons for study of Evening Class Students, Faculty of Industrial Technology, Suan Sunandha Rajabhat University. Population is special program students of the Faculty of Industrial Technology, Suan Sunandha Rajabhat University enrolled in academic year B.E. 2012. Data were collected in February 2013 from 98 students. Tool used in this research was questionnaire. Data were analyzed by statistics: percentage, mean, and standard deviation, using a computer program. The results revealed that: 1. Most of the special program students have monthly income between 10,001–20,000 Baht. Majority of the students were private company employees, working in operational level. They were mainly single and the commuting distance to the university is between 10-30 kilometers. 2. Reasons for enrolling of special program students of the Faculty of Industrial Technology, namely, career, self advancement, personal reasons and support from others received high scores. 3. Problems identified such as facilities, services, learning media and the content of the course received average scores.Keywords: reasons, evening class students, Faculty of Industrial Technology, Suan Sunandha Rajabhat University
Procedia PDF Downloads 31319017 Adherence of Hypertensive Patients to Lifestyle Modification Factors: A Cross-Sectional Study
Authors: Fadwa Alhalaiqa, Ahmad Al-Nawafleh, Abdul-Monim Batiha, Rami Masadeh, Aida Abd Alrazek
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Healthy lifestyle recommendations (e.g. physical inactivity, unhealthy diet, increased cholesterol levels, obesity, and poor stress management) play an important role in controlling BP. This study aimed to assess lifestyle modification factors among patient diagnosed with hypertension. Methods and materials: A cross section-survey design was used. Data was collected by four questionnaires one was the beliefs about medication (BMQ) and rest were developed to collect data about demographics and clinical characteristics and lifestyle modification factors. Results: Total 312 questionnaires had been completed. The participants had a mean age of 57.6 years (SD =11.8). The results revealed that our participants did not follow healthy lifestyle recommendations; for example the means BS level, BMI, and cholesterol levels were 155 mg/dl (SD= 71.9), 29 kg/2m (SD= 5.4) and 197 mg/dl (SD= 86.6) respectively. A significant correlation was shown between age and BP (P= 0.000). Increase in DBP correlates with a significant increase in cholesterol level (P= .002) and BMI (P= .006). Conclusion: Hypertensive patients did not adhere to healthy lifestyle modification factors. Therefore, an urgent action by addressing behavioral risk factors has a positive impact on preventing and controlling hypertension.Keywords: adherence, healthy lifestyle, hypertension, patients
Procedia PDF Downloads 26919016 Effects of Artificial Intelligence and Machine Learning on Social Media for Health Organizations
Authors: Ricky Leung
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Artificial intelligence (AI) and machine learning (ML) have revolutionized the way health organizations approach social media. The sheer volume of data generated through social media can be overwhelming, but AI and ML can help organizations effectively manage this information to improve the health and well-being of individuals and communities. One way AI can be used to enhance social media in health organizations is through sentiment analysis. This involves analyzing the emotions expressed in social media posts to better understand public opinion and respond accordingly. This can help organizations gauge the impact of their campaigns, track the spread of misinformation, and improve communication with the public. While social media is a useful tool, researchers and practitioners have expressed fear that it will be used for the spread of misinformation, which can have serious consequences for public health. Health organizations must work to ensure that AI systems are transparent, trustworthy, and unbiased so they can help minimize the spread of misinformation. In conclusion, AI and ML have the potential to greatly enhance the use of social media in health organizations. These technologies can help organizations effectively manage large amounts of data and understand stakeholders' sentiments. However, it is important to carefully consider the potential consequences and ensure that these systems are carefully designed to minimize the spread of misinformation.Keywords: AI, ML, social media, health organizations
Procedia PDF Downloads 8219015 Choice of Landscape Elements for Residents' Quality of Life Living in Apartment Housing: Case Study of Bhopal, India
Authors: Ankita Srivastava, Yogesh K. Garg
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Housing provides comforts and well being leading towards the quality of life. Earlier research had established that landscape elements enhance the residents’ quality of life through its significant experiences occur due to their presence in the housing. This paper tries to identify the preference of landscape elements that enhance residents’ quality of life living in the apartment. Hence, landscape elements that can be planned in the open spaces of housing and quality of life components were identified from the secondary data sources. Experts’ were asked to identify the quality of life components with respect to landscape elements. A questionnaire survey of residents’ living in the apartment housing in Bhopal, India was conducted. The statistical analysis of survey data facilitated to explore the preference of landscape elements for the quality of life in the apartment housing. The final ranking compiled from the experts’ opinion, residents’ perception as well as factor analysis results to have an insight of the preference of landscape elements for the quality of life living in the apartment. Preference of landscape elements present in the paper may provide an overview of planning for apartment housing that may be used by architects, planners and developers for enhancing residents’ quality of life.Keywords: landscape elements, quality of life, residents, housing
Procedia PDF Downloads 25219014 Alternative Fuel Production from Sewage Sludge
Authors: Jaroslav Knapek, Kamila Vavrova, Tomas Kralik, Tereza Humesova
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The treatment and disposal of sewage sludge is one of the most important and critical problems of waste water treatment plants. Currently, 180 thousand tonnes of sludge dry matter are produced in the Czech Republic, which corresponds to approximately 17.8 kg of stabilized sludge dry matter / year per inhabitant of the Czech Republic. Due to the fact that sewage sludge contains a large amount of substances that are not beneficial for human health, the conditions for sludge management will be significantly tightened in the Czech Republic since 2023. One of the tested methods of sludge liquidation is the production of alternative fuel from sludge from sewage treatment plants and paper production. The paper presents an analysis of economic efficiency of alternative fuel production from sludge and its use for fluidized bed boiler with nominal consumption of 5 t of fuel per hour. The evaluation methodology includes the entire logistics chain from sludge extraction, through mechanical moisture reduction to about 40%, transport to the pelletizing line, moisture drying for pelleting and pelleting itself. For economic analysis of sludge pellet production, a time horizon of 10 years corresponding to the expected lifetime of the critical components of the pelletizing line is chosen. The economic analysis of pelleting projects is based on a detailed analysis of reference pelleting technologies suitable for sludge pelleting. The analysis of the economic efficiency of pellet is based on the simulation of cash flows associated with the implementation of the project over the life of the project. For the entered value of return on the invested capital, the price of the resulting product (in EUR / GJ or in EUR / t) is searched to ensure that the net present value of the project is zero over the project lifetime. The investor then realizes the return on the investment in the amount of the discount used to calculate the net present value. The calculations take place in a real business environment (taxes, tax depreciation, inflation, etc.) and the inputs work with market prices. At the same time, the opportunity cost principle is respected; waste disposal for alternative fuels includes the saved costs of waste disposal. The methodology also respects the emission allowances saved due to the displacement of coal by alternative (bio) fuel. Preliminary results of testing of pellet production from sludge show that after suitable modifications of the pelletizer it is possible to produce sufficiently high quality pellets from sludge. A mixture of sludge and paper waste has proved to be a more suitable material for pelleting. At the same time, preliminary results of the analysis of the economic efficiency of this sludge disposal method show that, despite the relatively low calorific value of the fuel produced (about 10-11 MJ / kg), this sludge disposal method is economically competitive. This work has been supported by the Czech Technology Agency within the project TN01000048 Biorefining as circulation technology.Keywords: Alternative fuel, Economic analysis, Pelleting, Sewage sludge
Procedia PDF Downloads 12619013 Factors Predicting Individual Health among Pilgrims of Kurdistan County: An Application of Health Belief Model
Authors: Arsalan Ghaderi, Behzad Karami Matin, Abdolrahim Afkhamzadeh, Abouzar Keshavarzi, Parvin Nokhasi
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Background: Lack of individual health as one of the major health problems among the pilgrims can be followed by several complications. The main aim of this study was to determine factors predicting individual health among pilgrims of Kurdistan County; in the west of Iran and health belief model (HBM) was applied as theoretical framework. Methods: A cross-sectional study was conducted among 100 pilgrims who referred in the red crescent of Kurdistan County, the west of Iran which was randomly selected for participation in this study. A structured questionnaire was applied for collecting data and data were analyzed by SPSS version 21 using bivariate correlations and linear regression statistical tests. Results: The mean age of respondents was 59.45 years [SD: 11.56], ranged from 50 to 73 years. The HBM predictor variables accounted for 47% of the variation in the outcome measure of the individual health. The best predictors for individual health were perceived severity and cause to action. Conclusion: Based on our result, it seems that designing and implementation of educational programs to increase seriousness about complications of lack of individual health and increasing cause to action among the pilgrims may be useful in order to promote individual health among pilgrims.Keywords: individual health, pilgrims, Iran, health belief model
Procedia PDF Downloads 52019012 Understanding Systemic Barriers (and Opportunities) to Increasing Uptake of Subcutaneous Medroxy Progesterone Acetate Self-Injection in Health Facilities in Nigeria
Authors: Oluwaseun Adeleke, Samuel O. Ikani, Fidelis Edet, Anthony Nwala, Mopelola Raji, Simeon Christian Chukwu
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Background: The DISC project collaborated with partners to implement demand creation and service delivery interventions, including the MoT (Moment of Truth) innovation, in over 500 health facilities across 15 states. This has increased the voluntary conversion rate to self-injection among women who opt for injectable contraception. While some facilities recorded an increasing trend in key performance indicators, few others persistently performed sub-optimally due to provider and system-related barriers. Methodology: Twenty-two facilities performing sub-optimally were selected purposively from three Nigerian states. Low productivity was appraised using low reporting rates and poor SI conversion rates as indicators. Interviews were conducted with health providers across these health facilities using a rapid diagnosis tool. The project also conducted a data quality assessment that evaluated the veracity of data elements reported across the three major sources of family planning data in the facility. Findings: The inability and sometimes refusal of providers to support clients to self-inject effectively was associated with the misunderstanding of its value to their work experience. It was also observed that providers still held a strong influence over clients’ method choices. Furthermore, providers held biases and misconceptions about DMPA-SC that restricted the access of obese clients and new acceptors to services – a clear departure from the recommendations of the national guidelines. Additionally, quality of care standards was compromised because job aids were not used to inform service delivery. Facilities performing sub-optimally often under-reported DMPA-SC utilization data, and there were multiple uncoordinated responsibilities for recording and reporting. Additionally, data validation meetings were not regularly convened, and these meetings were ineffective in authenticating data received from health facilities. Other reasons for sub-optimal performance included poor documentation and tracking of stock inventory resulting in commodity stockouts, low client flow because of poor positioning of health facilities, and ineffective messaging. Some facilities lacked adequate human and material resources to provide services effectively and received very few supportive supervision visits. Supportive supervision visits and Data Quality Audits have been useful to address the aforementioned performance barriers. The project has deployed digital DMPA-SC self-injection checklists that have been aligned with nationally approved templates. During visits, each provider and community mobilizer is accorded special attention by the supervisor until he/she can perform procedures in line with best practice (protocol). Conclusion: This narrative provides a summary of a range of factors that identify health facilities performing sub-optimally in their provision of DMPA-SC services. Findings from this assessment will be useful during project design to inform effective strategies. As the project enters its final stages of implementation, it is transitioning high-impact activities to state institutions in the quest to sustain the quality of service beyond the tenure of the project. The project has flagged activities, as well as created protocols and tools aimed at placing state-level stakeholders at the forefront of improving productivity in health facilities.Keywords: family planning, contraception, DMPA-SC, self-care, self-injection, barriers, opportunities, performance
Procedia PDF Downloads 7519011 Prescribing Pattern of Drugs in Patients with ARDS: An Observational Study
Authors: Rahul Magazine, Shobitha Rao
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The aim of this study was to study the prescribing pattern of drugs in patients with ARDS (Acute Respiratory Distress Syndrome) managed at a tertiary care hospital. This observational study was conducted at Kasturba Hospital, Karnataka, India. Data of patients admitted from January 2010 to December 2012 was collected. A total of 150 patients of ARDS were included. Data included patients’ age, gender, clinical disorders precipitating ARDS, and prescribing pattern of drugs. The mean age of the study population was 42.92±13.91 years. 48% of patients were less than 40 years of age. Infection was the cause of ARDS in 81.3% of subjects. Antibiotics were prescribed in all the subjects and beta-lactams were prescribed in 97.3%. 41.3% were prescribed corticosteroids, 39.3% diuretics and 89.3% intravenous fluids. Infection was the commonest etiology for ARDS, and beta-lactams were the commonest antibiotics prescribed. Corticosteroids and diuretics were prescribed in a significant number of patients. Most of the patients received intravenous fluids.Keywords: acute respiratory syndrome, beta lactams, corticosteroids, Acute Respiratory Distress Syndrome (ARDS)
Procedia PDF Downloads 36719010 Mental Health Status among the Transgender Community: A Study of Mumbai
Authors: Mithlesh Chourase
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Health of the transgender is as important as any other population sub-groups. However, little is known about the issues of mental health problems and health seeking behaviour of transgender in India. This paper examines the depression, stigma problem and suicidality (risk of suicide) among the transgender people in Mumbai city. The study used the primary survey data conducted in Mumbai city among the transgender community with a total sample of 120 among the transgender. Both qualitative and quantitative data was collected on demographic and socio-economic characteristic, general health and sexual health problems, mental health and health seeking behaviour among transgender. The quantitative results revealed that among the transgender, the prevalence of depression was very high. In this community 58.3% and 45.8 % of the transgender were suffered from depression and stigma problem respectively. On the other hand 42% and 48% of the transgender attempted suicide and experienced discrimination in the society. The qualitative results also revealed that the transgender were suffered from physical violence especially due to being a transgender, stressed due to being a transgender, experienced discrimination everywhere, experienced sexual health problems especially HIV, partner problem etc. As a result the prevalence of depression, self-harm attempt and suicidal attempt was common among this community.Keywords: transgender, depression, Mumbai, mental health
Procedia PDF Downloads 52119009 Second Order Cone Optimization Approach to Two-stage Network DEA
Authors: K. Asanimoghadam, M. Salahi, A. Jamalian
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Data envelopment analysis is an approach to measure the efficiency of decision making units with multiple inputs and outputs. The structure of many decision making units also has decision-making subunits that are not considered in most data envelopment analysis models. Also, the inputs and outputs of the decision-making units usually are considered desirable, while in some real-world problems, the nature of some inputs or outputs are undesirable. In this thesis, we study the evaluation of the efficiency of two stage decision-making units, where some outputs are undesirable using two non-radial models, the SBM and the ASBM models. We formulate the nonlinear ASBM model as a second order cone optimization problem. Finally, we compare two models for both external and internal evaluation approaches for two real world example in the presence of undesirable outputs. The results show that, in both external and internal evaluations, the overall efficiency of ASBM model is greater than or equal to the overall efficiency value of the SBM model, and in internal evaluation, the ASBM model is more flexible than the SBM model.Keywords: network DEA, conic optimization, undesirable output, SBM
Procedia PDF Downloads 18719008 Survey of Potential Adverse Health Effects of Mobile Phones, and Wireless Base Stations in Nigeria
Authors: Nureni A. Yekini, Isaac T. Babalola, Edwin E. Aighokhan, Agnes K. Akinwole, N. Stephen Igwe
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Survey was conducted to gather information on potential adverse health effects of Mobile Phones, and Telecommunication Tower Base Stations in Nigeria. Data was sourced from two sampled populations. Firstly from the people living in close proximity to base stations, and secondly from cell phone users. Questionnaire was used to gathered information from 574 people on thirteen non-specific health symptoms. Data obtained was presented and analyzed. The analysis shows that people living close to the based stations over a long period of time with or without cell phone, and also the heavy phone users with close proximity to the base stations are liable to have some potential health hazards, such as fatigue, sleep disturbances, headaches, feeling of discomfort, difficulty in concentrating, depression, memory loss, visual disruptions, irritability, hearing disruptions, skin problems, cardiovascular disorders, and dizziness.Keywords: health hazards, wireless base stations, phone users, mobile phones, Nigeria
Procedia PDF Downloads 31119007 The Comparison of Backward and Forward Running Program on Balance Development and Plantar Flexion Force in Pre Seniors: Healthy Approach
Authors: Neda Dekamei, Mostafa Sarabzadeh, Masoumeh Bigdeli
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Backward running is commonly used in different sports conditioning, motor learning, and neurological purposes, and even more commonly in physical rehabilitation. The present study evaluated the effects of six weeks backward and forward running methods on balance promotion adaptation in students. 12 male and female preseniors with the age range of 45-60 years participated and were randomly classified into two groups of backward running (n: 6) and forward running (n: 6) training interventions. During six weeks, 3 sessions per week, all subjects underwent stated different models of backward and forward running training on treadmill (65-80 of HR max). Pre and post-tests were performed by force plate and electromyogram, two times before and after intervention. Data were analyzed using by T test. On the basis of obtained data, significant differences were recorded on balance and plantar flexion force in backward running (BR) and no difference for forward running (FR). It seems the training model of backward running can generate more stimulus to achieve better plantar flexion force and strengthening ankle protectors which leads to balance improvement in pre aging period. It can be recommended as an effective method to promote seniors life quality especially in balance neuromuscular parameters.Keywords: backward running, balance, plantar flexion, pre seniors
Procedia PDF Downloads 15619006 Artificial Neural Network Based Approach for Estimation of Individual Vehicle Speed under Mixed Traffic Condition
Authors: Subhadip Biswas, Shivendra Maurya, Satish Chandra, Indrajit Ghosh
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Developing speed model is a challenging task particularly under mixed traffic condition where the traffic composition plays a significant role in determining vehicular speed. The present research has been conducted to model individual vehicular speed in the context of mixed traffic on an urban arterial. Traffic speed and volume data have been collected from three midblock arterial road sections in New Delhi. Using the field data, a volume based speed prediction model has been developed adopting the methodology of Artificial Neural Network (ANN). The model developed in this work is capable of estimating speed for individual vehicle category. Validation results show a great deal of agreement between the observed speeds and the predicted values by the model developed. Also, it has been observed that the ANN based model performs better compared to other existing models in terms of accuracy. Finally, the sensitivity analysis has been performed utilizing the model in order to examine the effects of traffic volume and its composition on individual speeds.Keywords: speed model, artificial neural network, arterial, mixed traffic
Procedia PDF Downloads 38019005 Early Detection of Breast Cancer in Digital Mammograms Based on Image Processing and Artificial Intelligence
Authors: Sehreen Moorat, Mussarat Lakho
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A method of artificial intelligence using digital mammograms data has been proposed in this paper for detection of breast cancer. Many researchers have developed techniques for the early detection of breast cancer; the early diagnosis helps to save many lives. The detection of breast cancer through mammography is effective method which detects the cancer before it is felt and increases the survival rate. In this paper, we have purposed image processing technique for enhancing the image to detect the graphical table data and markings. Texture features based on Gray-Level Co-Occurrence Matrix and intensity based features are extracted from the selected region. For classification purpose, neural network based supervised classifier system has been used which can discriminate between benign and malignant. Hence, 68 digital mammograms have been used to train the classifier. The obtained result proved that automated detection of breast cancer is beneficial for early diagnosis and increases the survival rates of breast cancer patients. The proposed system will help radiologist in the better interpretation of breast cancer.Keywords: medical imaging, cancer, processing, neural network
Procedia PDF Downloads 25419004 Lean and Six Sigma in the Freight Railway Supplier Base in South Africa: Factors Leading to Their Application
Authors: Hilda Kundai Chikwanda, Lawrence Thabo Mokhadi
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The study aimed to review the factors that lead the freight railway suppliers base in South Africa (SA) to apply the Lean and Six Sigma (L&SS) methodologies. A thorough review of the factors that lead organisations, in the different industries, to implement these methodologies was done. L&SS applications were found to be prominent in the automotive industry. In particular, the railway industry in SA and the region were reviewed in terms of challenges in capturing the freight logistics market and growing market share. Qualitative methods have been used to collect primary data and descriptive statistics was used to calculate, describe, and summarize collected research data. The results show that external factors have a greater influence on the implementation of L&SS. The study drew inferences between freight railway supplier base and the application of Lean and Six Sigma (L&SS) methodologies in the SA context. It identified challenges that leads the SA freight railway to lose market share to road freight users. It further observes and recommends that L&SS methodologies are the ideal strategy required to implement a turnaround in the trajectory of freight railways as a competitive freight transport solution.Keywords: production, methodology, manufacturing, lean, six sigma
Procedia PDF Downloads 3819003 Main Control Factors of Fluid Loss in Drilling and Completion in Shunbei Oilfield by Unmanned Intervention Algorithm
Authors: Peng Zhang, Lihui Zheng, Xiangchun Wang, Xiaopan Kou
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Quantitative research on the main control factors of lost circulation has few considerations and single data source. Using Unmanned Intervention Algorithm to find the main control factors of lost circulation adopts all measurable parameters. The degree of lost circulation is characterized by the loss rate as the objective function. Geological, engineering and fluid data are used as layers, and 27 factors such as wellhead coordinates and WOB are used as dimensions. Data classification is implemented to determine function independent variables. The mathematical equation of loss rate and 27 influencing factors is established by multiple regression method, and the undetermined coefficient method is used to solve the undetermined coefficient of the equation. Only three factors in t-test are greater than the test value 40, and the F-test value is 96.557%, indicating that the correlation of the model is good. The funnel viscosity, final shear force and drilling time were selected as the main control factors by elimination method, contribution rate method and functional method. The calculated values of the two wells used for verification differ from the actual values by -3.036m3/h and -2.374m3/h, with errors of 7.21% and 6.35%. The influence of engineering factors on the loss rate is greater than that of funnel viscosity and final shear force, and the influence of the three factors is less than that of geological factors. Quantitatively calculate the best combination of funnel viscosity, final shear force and drilling time. The minimum loss rate of lost circulation wells in Shunbei area is 10m3/h. It can be seen that man-made main control factors can only slow down the leakage, but cannot fundamentally eliminate it. This is more in line with the characteristics of karst caves and fractures in Shunbei fault solution oil and gas reservoir.Keywords: drilling and completion, drilling fluid, lost circulation, loss rate, main controlling factors, unmanned intervention algorithm
Procedia PDF Downloads 10519002 Indian Premier League (IPL) Score Prediction: Comparative Analysis of Machine Learning Models
Authors: Rohini Hariharan, Yazhini R, Bhamidipati Naga Shrikarti
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In the realm of cricket, particularly within the context of the Indian Premier League (IPL), the ability to predict team scores accurately holds significant importance for both cricket enthusiasts and stakeholders alike. This paper presents a comprehensive study on IPL score prediction utilizing various machine learning algorithms, including Support Vector Machines (SVM), XGBoost, Multiple Regression, Linear Regression, K-nearest neighbors (KNN), and Random Forest. Through meticulous data preprocessing, feature engineering, and model selection, we aimed to develop a robust predictive framework capable of forecasting team scores with high precision. Our experimentation involved the analysis of historical IPL match data encompassing diverse match and player statistics. Leveraging this data, we employed state-of-the-art machine learning techniques to train and evaluate the performance of each model. Notably, Multiple Regression emerged as the top-performing algorithm, achieving an impressive accuracy of 77.19% and a precision of 54.05% (within a threshold of +/- 10 runs). This research contributes to the advancement of sports analytics by demonstrating the efficacy of machine learning in predicting IPL team scores. The findings underscore the potential of advanced predictive modeling techniques to provide valuable insights for cricket enthusiasts, team management, and betting agencies. Additionally, this study serves as a benchmark for future research endeavors aimed at enhancing the accuracy and interpretability of IPL score prediction models.Keywords: indian premier league (IPL), cricket, score prediction, machine learning, support vector machines (SVM), xgboost, multiple regression, linear regression, k-nearest neighbors (KNN), random forest, sports analytics
Procedia PDF Downloads 3519001 GGA-PBEsol+TB-MBJ Studies of SrxPb1-xS Ternary Semiconductor Alloys
Authors: Y. Benallou, K. Amara, O. Arbouche
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In this paper, we report a density functional study of the structural, electronic and elastic properties of the ordered phases of SrxPb1-xS ternary semiconductor alloys namely rocksalt compounds: PbS and SrS and the rocksalt-based compounds: SrPb3S4, SrPbS2, and Sr3PbS4. These First-principles calculations have been performed using the full potential linearized augmented plane wave method (FP-LAPW) within the Generalized Gradient Approximation developed by Perdew–Burke–Ernzerhor for solids (PBEsol). The calculated structural parameters like the lattice parameters, the bulk modulus B and their pressure derivative B' are in reasonable agreement with the available experimental and theoretical data. In addition, the elastic properties such as elastic constants (C11, C12, and C44), the shear modulus G, the Young modulus E, the Poisson’s ratio ν and the B/G ratio are also given. For the electronic properties calculations, the exchange and correlation effects were treated by the Tran-Blaha modified Becke-Johnson (TB-mBJ) potential to prevent the shortcoming of the underestimation of the energy gaps in both LDA and GGA approximations. The obtained results are compared to available experimental data and to other theoretical calculations.Keywords: SrxPb1-xS, GGA-PBEsol+TB-MBJ, density functional, Perdew–Burke–Ernzerhor, FP-LAPW
Procedia PDF Downloads 38619000 Spatial Distribution of Local Sheep Breeds in Antalya Province
Authors: Serife Gulden Yilmaz, Suleyman Karaman
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Sheep breeding is important in terms of meeting both the demand of red meat consumption and the availability of industrial raw materials and the employment of the rural sector in Turkey. It is also very important to ensure the selection and continuity of the breeds that are raised in order to increase quality and productive products related to sheep breeding. The protection of local breeds and crossbreds also enables the development of the sector in the region and the reduction of imports. In this study, the data were obtained from the records of the Turkish Statistical Institute and Antalya Sheep & Goat Breeders' Association. Spatial distribution of sheep breeds in Antalya is reviewed statistically in terms of concentration at the local level for 2015 period spatially. For this reason; mapping, box plot, linear regression are used in this study. Concentration is introduced by means of studbook data on sheep breeding as locals and total sheep farm by mapping. It is observed that Pırlak breed (17.5%) and Merinos crossbreed (16.3%) have the highest concentration in the region. These breeds are respectively followed by Akkaraman breed (11%), Pirlak crossbreed (8%), Merinos breed (7.9%) Akkaraman crossbreed (7.9%) and Ivesi breed (7.2%).Keywords: sheep breeds, local, spatial distribution, agglomeration, Antalya
Procedia PDF Downloads 28018999 Live Music Promotion in Burundi Country
Authors: Aster Anderson Rugamba
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Context: Live music in Burundi is currently facing neglect and a decline in popularity, resulting in artists struggling to generate income from this field. Additionally, live music from Burundi has not been able to gain traction in the international market. It is essential to establish various structures and organizations to promote cultural events and support artistic endeavors in music and performing arts. Research Aim: The aim of this research is to seek new knowledge and understanding in the field of live music and its content in Burundi. Furthermore, it aims to connect with other professionals in the industry, make new discoveries, and explore potential collaborations and investments. Methodology: The research will utilize both quantitative and qualitative research methodologies. The quantitative approach will involve a sample size of 57 musician artists in Burundi. It will employ closed-ended questions and gather quantitative data to ensure a large sample size and high external validity. The qualitative approach will provide deeper insights and understanding through open-ended questions and in-depth interviews with selected participants. Findings: The research expects to find new theories, methodologies, empirical findings, and applications of existing knowledge that can contribute to the development of live music in Burundi. By exploring the challenges faced by artists and identifying potential solutions, the study aims to establish live music as a catalyst for development and generate a positive impact on both the Burundian and international community. Theoretical Importance: Theoretical contributions of this research will expand the current understanding of the live music industry in Burundi. It will propose new theories and models to address the issues faced by artists and highlight the potential of live music as a lucrative and influential industry. By bridging the gap between theory and practice, the research aims to provide valuable insights for academics, professionals, and policymakers. Data Collection and Analysis Procedures: Data will be collected through surveys, interviews, and archival research. Surveys will be administered to the sample of 57 musician artists, while interviews will be conducted to gain in-depth insights from selected participants. The collected data will be analyzed using both quantitative and qualitative methods, including statistical analysis and thematic analysis, respectively. This mixed-method approach will ensure a comprehensive and rigorous examination of the research questions addressed.Keywords: business music in burundi, music in burundi, promotion of art, burundi music culture
Procedia PDF Downloads 5518998 Population and Age Structure of the Goby Stigmatogobius pleurostigma in the Mekong Delta, Vietnam
Authors: Quang M. Dinh
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Stigmatogobius pleurostigma is a commercial fish being caught increasingly in the Mekong Delta. Although it plays an important role for food supply, little is known about this species including morphology, distribution and growth pattern. Meanwhile, its population and age structure is unknown. The present study was conducted in the Mekong Delta to provide new data on population parameters of this goby species. The von Bertalanffy growth parameters were L∞= 8.6 cm, K = 0.83 yr⁻¹, and t0 = -0.07 yr⁻¹ basing on length frequency data analysis of 601 individuals. The fish total length at first capture was 3.8 cm; and fishing, natural and total mortalities of the fish population were 2.31 yr⁻¹, 1.17 yr⁻¹, and 3.48 yr⁻¹ respectively. The maximum fish yield (Eₘₐₓ), economic yield (E₀.₁) and yield of 50% reduction of exploitation (E₅₀) rates were 0.704, 0.555 and 0.335 based on the relative yield-per-recruit and biomass-per-recruit analyses. The fish longevity was 3.61 yr, and growth performance was 1.79. Three fish age groups were recorded in this study (0+, 1+ and 2+). The species is a potential aquaculture candidate because of its high growth parameter. This goby stock was overexploited in the Mekong Delta as its exploitation rate (E=0.34) was higher than E₅₀ (0.335). The mesh size of gillnets should be increased and avoid catching fish in June, recruitment time, for future sustainable fishery management.Keywords: Stigmatogobius pleurostigma, age, population structure, Vietnam
Procedia PDF Downloads 19318997 Association between Carbon Dioxide (CO2) Emission and Under-Five Mortality: Panel Data Evidence from 100 Countries
Authors: Mahadev Bhise, Nabanita Majumder
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Recent studies have found association between air pollutants and mortality, particularly how concentration of air pollutant explains under-five mortality across the countries. Thus, the present study evaluates the relationship between Carbon dioxide (CO2) emission and under-five mortality, while controlling other well-being determinant of Under-five mortality in 100 countries using panel unbalanced cross sectional data. We have used PCSE and GMM model for the period 1990-2011 to meet our objectives. Our findings suggest that, the positive relationship between lagged periods of carbon dioxide and under-five mortality; the percentage of rural population with access of improved water is negatively associated with under-five mortality, while in case of urban population with access of improved water, is positively related to under-five mortality. Access of sanitation facility, food production index, GDP per capita, and concentration of urban population have significant negative impact on under-five mortality. Further, total fertility rate is significantly associated (positive) with under-five mortality which indicates relative change in fertility is related to relative change in under-five mortality.Keywords: arbon dioxide (CO2), under-five mortality (0q5), gross domestic product (GDP), urban population, food production, panel corrected standard errors (PCSE), generalized method of moments (GMM)
Procedia PDF Downloads 30418996 Numerical Calculation of Dynamic Response of Catamaran Vessels Based on 3D Green Function Method
Authors: Md. Moinul Islam, N. M. Golam Zakaria
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Seakeeping analysis of catamaran vessels in the earlier stages of design has become an important issue as it dictates the seakeeping characteristics, and it ensures safe navigation during the voyage. In the present paper, a 3D numerical method for the seakeeping prediction of catamaran vessel is presented using the 3D Green Function method. Both steady and unsteady potential flow problem is dealt with here. Using 3D linearized potential theory, the dynamic wave loads and the subsequent response of the vessel is computed. For validation of the numerical procedure catamaran vessel composed of twin, Wigley form demi-hull is used. The results of the present calculation are compared with the available experimental data and also with other calculations. The numerical procedure is also carried out for NPL-based round bilge catamaran, and hydrodynamic coefficients along with heave and pitch motion responses are presented for various Froude number. The results obtained by the present numerical method are found to be in fairly good agreement with the available data. This can be used as a design tool for predicting the seakeeping behavior of catamaran ships in waves.Keywords: catamaran, hydrodynamic coefficients , motion response, 3D green function
Procedia PDF Downloads 21018995 Voices of the Students From a Fully Inclusive Classroom
Authors: Ashwini Tiwari
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Introduction: Inclusive education for all is a multifaceted approach that requires system thinking and the promotion of a "Culture of Inclusion." Such can only be achieved through the collaboration of multiple stakeholders at the community, regional, state, national, and international levels. Researchers have found effective practices used in inclusive general classrooms are beneficial to all students, including students with disabilities, those who experience challenges academically and socially, and students without disabilities as well. However, to date, no statistically significant effects on the academic performance of students without disabilities in the presence of students with disabilities have been revealed. Therefore, proponents against inclusive education practices, based solely on their beliefs regarding the detrimental effects of students without disabilities, appears to have unfounded perceptions. This qualitative case study examines students' perspectives and beliefs about inclusive education in a middle school in South Texas. More specifically, this study examined students understanding of how inclusive education practices intersect with the classroom community. The data was collected from the students attending fully inclusive classrooms through interviews and focus groups. The findings suggest that peer integration and friendships built during classes are an essential part of schooling for both disabled and non-disabled students. Research Methodology: This qualitative case study used observations and focus group interviews with 12 middle school students attending an inclusive classroom at a public school located in South Texas. The participant of this study includes eight females and five males. All the study participants attend a fully inclusive middle school with special needs peers. Five of the students had disabilities. The focus groups and interviews were conducted during for entire academic year, with an average of one focus group and observation each month. The data were analyzed using the constant comparative method. The data from the focus group and observation were continuously compared for emerging codes during the data collection process. Codes were further refined and merged. Themes emerged as a result of the interpretation at the end of the data analysis process. Findings and discussion: This study was conducted to examine disabled and non-disabled students' perspectives on the inclusion of disabled students. The study revealed that non-disabled students generally have positive attitudes toward their disabled peers. The students in the study did not perceive inclusion as a special provision; rather, they perceived inclusion as a way of instructional practice. Most of the participants in the study spoke about the multiple benefits of inclusion. They emphasized that peer integration and friendships built during classes are an essential part of their schooling. Students believed that it was part of their responsibility to assist their peers in the ways possible. This finding is in line with the literature that the personality of children with disabilities is not determined by their disability but rather by their social environment and its interaction with the child. Interactions with peers are one of the most important socio-cultural conditions for the development of children with disabilities.Keywords: inclusion, special education, k-12 education, student voices
Procedia PDF Downloads 7418994 Resale Housing Development Board Price Prediction Considering Covid-19 through Sentiment Analysis
Authors: Srinaath Anbu Durai, Wang Zhaoxia
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Twitter sentiment has been used as a predictor to predict price values or trends in both the stock market and housing market. The pioneering works in this stream of research drew upon works in behavioural economics to show that sentiment or emotions impact economic decisions. Latest works in this stream focus on the algorithm used as opposed to the data used. A literature review of works in this stream through the lens of data used shows that there is a paucity of work that considers the impact of sentiments caused due to an external factor on either the stock or the housing market. This is despite an abundance of works in behavioural economics that show that sentiment or emotions caused due to an external factor impact economic decisions. To address this gap, this research studies the impact of Twitter sentiment pertaining to the Covid-19 pandemic on resale Housing Development Board (HDB) apartment prices in Singapore. It leverages SNSCRAPE to collect tweets pertaining to Covid-19 for sentiment analysis, lexicon based tools VADER and TextBlob are used for sentiment analysis, Granger Causality is used to examine the relationship between Covid-19 cases and the sentiment score, and neural networks are leveraged as prediction models. Twitter sentiment pertaining to Covid-19 as a predictor of HDB price in Singapore is studied in comparison with the traditional predictors of housing prices i.e., the structural and neighbourhood characteristics. The results indicate that using Twitter sentiment pertaining to Covid19 leads to better prediction than using only the traditional predictors and performs better as a predictor compared to two of the traditional predictors. Hence, Twitter sentiment pertaining to an external factor should be considered as important as traditional predictors. This paper demonstrates the real world economic applications of sentiment analysis of Twitter data.Keywords: sentiment analysis, Covid-19, housing price prediction, tweets, social media, Singapore HDB, behavioral economics, neural networks
Procedia PDF Downloads 10218993 Dose Evaluations with SNAP/RADTRAD for Loss of Coolant Accidents in a BWR6 Nuclear Power Plant
Authors: Kai Chun Yang, Shao-Wen Chen, Jong-Rong Wang, Chunkuan Shih, Jung-Hua Yang, Hsiung-Chih Chen, Wen-Sheng Hsu
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In this study, we build RADionuclide Transport, Removal And Dose Estimation/Symbolic Nuclear Analysis Package (SNAP/RADTRAD) model of Kuosheng Nuclear Power Plant which is based on the Final Safety Evaluation Report (FSAR) and other data of Kuosheng Nuclear Power Plant. It is used to estimate the radiation dose of the Exclusion Area Boundary (EAB), the Low Population Zone (LPZ), and the control room following ‘release from the containment’ case in Loss Of Coolant Accident (LOCA). The RADTRAD analysis result shows that the evaluation dose at EAB, LPZ, and the control room are close to the FSAR data, and all of the doses are lower than the regulatory limits. At last, we do a sensitivity analysis and observe that the evaluation doses increase as the intake rate of the control room increases.Keywords: RADTRAD, radionuclide transport, removal and dose estimation, snap, symbolic nuclear analysis package, boiling water reactor, NPP, kuosheng
Procedia PDF Downloads 33118992 Investigation of the Speckle Pattern Effect for Displacement Assessments by Digital Image Correlation
Authors: Salim Çalışkan, Hakan Akyüz
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Digital image correlation has been accustomed as a versatile and efficient method for measuring displacements on the article surfaces by comparing reference subsets in undeformed images with the define target subset in the distorted image. The theoretical model points out that the accuracy of the digital image correlation displacement data can be exactly anticipated based on the divergence of the image noise and the sum of the squares of the subset intensity gradients. The digital image correlation procedure locates each subset of the original image in the distorted image. The software then determines the displacement values of the centers of the subassemblies, providing the complete displacement measures. In this paper, the effect of the speckle distribution and its effect on displacements measured out plane displacement data as a function of the size of the subset was investigated. Nine groups of speckle patterns were used in this study: samples are sprayed randomly by pre-manufactured patterns of three different hole diameters, each with three coverage ratios, on a computer numerical control punch press. The resulting displacement values, referenced at the center of the subset, are evaluated based on the average of the displacements of the pixel’s interior the subset.Keywords: digital image correlation, speckle pattern, experimental mechanics, tensile test, aluminum alloy
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