Search results for: demographic and health survey
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 13501

Search results for: demographic and health survey

12781 The Effect of Age on the Outcome of Teenage Pregnancy in Nigeria: A Demographic Study

Authors: Chinelo Igwenagu

Abstract:

Teenage childbearing in developing countries has been a thing of great concern as it has often led to a number of socioeconomic problems both to the society and to the families affected. The outcome of teenage pregnancy has been generally associated with higher rates of maternal morbidity and mortality, greater risks for delivery complications, low-birth weight infants and child mortality. As a result of teenagers’ physiological and social immaturity and their lack of adequate prenatal care, health risks associated with their pregnancies and childbearing are more pronounced than those of older women. Therefore this study has examined the relationship between the age of teenagers and the outcome of teenage pregnancy. Based on this study, the result of the analysis shows that both teenagers and older mothers suffer similarly during child bearing. Hence improve medical care is paramount in all the situations.

Keywords: childbearing, mortality, Nigeria, pregnancy, prematurity, teenagers

Procedia PDF Downloads 409
12780 Mental Health and Psychosocial Needs of Palestine Refugees in Lebanon and Syria

Authors: Cosette Maiky

Abstract:

Background: In the context of the Syrian crisis, the past few years have witnessed an exponential growth in the number of refugee mental health studies, which have essentially focused either on the affected Syrian population and/or host communities. However, the Palestinian communities in the region did not receive sufficient that much of attention. Aim: The study aimed at identifying trends and patterns of mental health and and psychosocial conditions among Palestinian refugees in the context of the Syrian crisis, including the recognition of gaps in appropriate services. Methods: The research model comprised a systematic documentary review, a mapping of available contextual analyses, a quantitative survey, focus group discussions as well as key informant interviews (with relevant stakeholders and beneficiaries). Findings: Content analysis revealed multiple effects of transgenerational transmission of trauma among Palestinian refugees in the context of the Syrian crisis, which showed to be neither linear nor one-dimensional occurrence. In addition to highlights on exposure to traumatic events and psychological sequelae, the review outlines the most prevailing coping mechanisms and essential protective factors. Conclusion: Away from a trauma-centered or symptom-focused exercise, practitioners may take account of the present study to better focus research and intervention methodologies.

Keywords: Palestine refugees, Syria crisis, psychosocial, mental health

Procedia PDF Downloads 340
12779 Parent’s Preferences about Technology-Based Therapy for Children and Young People on the Autism Spectrum – a UK Survey

Authors: Athanasia Kouroupa, Karen Irvine, Sivana Mengoni, Shivani Sharma

Abstract:

Exploring parents’ preferences towards technology-based interventions for children on the autism spectrum can inform future research and support technology design. The study aimed to provide a comprehensive description of parents’ knowledge and preferences about innovative technology to support children on the autism spectrum. Survey data were collected from parents (n = 267) internationally. The survey included information about the use of conventional (e.g., smartphone, iPod, tablets) and non-conventional (e.g., virtual reality, robot) technologies. Parents appeared to prefer conventional technologies such as tablets and dislike non-conventional ones. They highlighted the positive contribution technology brought to the children’s lives during the pandemic. A few parents were equally concerned that the compulsory introduction of technology during the pandemic was associated with elongated time on devices. The data suggested that technology-based interventions are not widely known, need to be financially approachable and achieve a high standard of design to engage users.

Keywords: autism, intervention, preferences, technology

Procedia PDF Downloads 122
12778 Assessment of Implementation of the Health and Safety Contents of the Nigerian Factories Act by Small and Medium Scale Industries in Anambra State, Nigeria

Authors: Vivian Uchechi Okpala

Abstract:

Background: Millions of workers die every year as a result of occupational hazards, accidents and injuries, which are as a result of non- compliance to the laws or legislations guiding the health, safety and welfare of workers in the industries. This and many more lead to the assessment of implementation of the health and safety contents of the Nigerian Factories Act (NFA) by small and medium scale industries in Anambra State. Objectives: The study is aimed at achieving the following specific objectives; to assess the extent of implementation of Part-II Health and Part -III Safety (General Provisions), implementation of Part II Health and Part -III Safety (General Provisions Nigerian Factories Acts based on the age of the industries, locations of the industries and level of education of the workers of the small and medium scale industries Methods: the research design that was used for this study was descriptive survey research design, Area of this study was Anambra state, The population for this study comprised 180 chairmen/presidents of union workers of manufacturing industries in Anambra State, The instrument used for this study was structured questionnaire titled ‘assessment of implementation of NFA health and safety contents by small and medium scale industries, results: From the analysis, the following findings were made: Results: The medium scale industries implemented the Part-II Health and Part III Safety (General provisions) better than the small scale industries in Anambra state, the age of the industries, location of the industries and the level of education of the workers in the industries significantly influenced the implementation of the Part III Safety (General Provisions) of NFA, the location of the industries significantly influenced the implementation of the Part II-Health (General Provisions) of NFA. Conclusion: there was generally a certain level of implementation of the factories Act, there is need for more improvement, strict inspection by the regulatory agencies. Implications of the study were highlighted and several suggestions for further studies were made. Based on the findings, several recommendations were made including that the Ministry of Labour and Productivity and the Ministry of Health should strengthen planned information, strict policies to sanction the offenders. Keywords: Occupational Health and Safety, Nigerian Factories Act

Keywords: occupational health and safety, Nigerian factories act, workers, welfare

Procedia PDF Downloads 131
12777 A Survey of the Sleep-Disturbed Bedroom Environmental Factors and the Occupants Bedroom Windows or Door Opening Behaviors

Authors: Chenxi Liao, Mizuho Akimoto, Mariya Bivolarova, Sekhar Chandra, Xiaojun Fan, Li Lan, Jelle Laverge, Pawel Wargocki

Abstract:

The bedroom environment plays an important role in maintaining good sleep quality, which is vital for humans health and next-day performance. A survey of the sleep-disturbed bedroom environmental factors and the occupants’ bedroom windows (BW) or bedroom door (BD) opening behaviors was launched in the capital region of Denmark in 2020 by an online questionnaire. People were asked if they were disturbed by too warm temperature, too cool temperature, noise, or stuffy air during sleep. Also, they reported their BW or the BD opening behaviors in the morning, afternoon, evening, and during sleep. A total of 512 responses were received. Too warm temperature was reported the most among the four sleep-disturbed factors, following too cool temperature, noise, and stuffy air. Whether or not opening BW or the BD was commonly used to improve or change the bedroom environment. The respondents who were disturbed by too warm temperature during sleep opened BW for a longer time in the morning compared to those who were never disturbed by it (OR, 1.28; 95% CI, 1.01-1.62). Those who were disturbed by too cool temperatures tended to open BW less frequently in the morning (OR, 1.24; 95% CI, 0.97-1.57). They preferred keeping BW open in the whole day if they realized stuffy air disturbing their sleep, although only a few of them still opened BW during sleep. Those who were disturbed by too cool temperature (OR, 0.76; 95% CI, 0.63-0.92) and noise (OR, 0.80; 95% CI, 0.66-0.96) were more likely to sleep with the BD open in a lesser frequency. Opening BW, increasing ventilation rates, could relieve disturbing by stuffy air during sleep, but induced other sleep-disturbed factors such as too cool in winter and noise. Also, opening BW only when people were not sleep was not sufficient to exempt disturbing by stuffy air during sleep. Using mechanical ventilation in bedrooms is necessary to ensure good air quality and meanwhile to avoid thermal discomfort and noise during sleep. Future studies are required to figure out the required flow rate of fresh air of mechanical ventilation during sleep.

Keywords: bedroom environmental, survey, occupants behaviors, windows, door

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12776 Health Expenditure and its Place in Economy: The Case of Turkey

Authors: Ayşe Coban, Orhan Coban, Haldun Soydal, Sükrü Sürücü

Abstract:

While health is a source of prosperity for individuals, it is also one of the most important determinants of economic growth for a country. Health, by increasing the productivity of labor, contributes to economic growth. Therefore, countries should give the necessary emphasis to health services. The primary aim of this study is to analyze the changes occurring in health services in Turkey by examining the developments in the sector. In this scope, the second aim of the study is to reveal the place of health expenditures in the Turkish economy. As a result of the analysis in the dataset, in which the 1999-2013 periods is considered, it was determined that some increase in health expenditures took place and that the increase in the share of health expenditures in GDP was too small. Furthermore, analysis of the results points out that in financing health expenditures, the public sector is prominent compared to the private sector.

Keywords: health, health service, health expenditures, Turkey

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12775 Analysis of Urban Slum: Case Study of Korail Slum, Dhaka

Authors: Sanjida Ahmed Sinthia

Abstract:

Bangladesh is one of the poorest countries in the world. There are several reasons for this insufficiency and uncontrolled population growth is one of the prime reasons. Others include low economic progress, imbalanced resource management, unemployment and underemployment, urban migration and natural catastrophes etc. As a result, the rate of urban poor is increasing inevitably in every sphere of urban cities in Bangladesh and Dhaka is the most affected one. Besides there is scarcity of urban land, housing, urban infrastructure and amenities which create pressure on urban cities and mostly encroach the open space, wetlands that causes environmental degradation. Government has no or limited control over these due to poor government policy and management, political pressure and lack of resource management. Unfortunately, over centralization and bureaucracy creates unnecessary delay and interruptions in any government initiations. There is also no coordination between government and private sector developer to solve the problem of urban Poor. To understand the problem of these huge populations this paper analyzes one of the single largest slum areas in Dhaka, Korail Slum. The study focuses on socio demographic analysis, morphological pattern and role of different actors responsible for the improvements of the area and recommended some possible steps for determining the potential outcomes.

Keywords: demographic analysis, environmental degradation, government policy, housing and land management policy

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12774 The Empowerment of Reminiscence Group Play Therapy for Older People in Taiwan

Authors: Jiun-De Lin

Abstract:

The main purpose of this study was to investigate the empowerment effect of the older people through a structured reminiscence play therapeutic group program in Changhua county of Taiwan. This program was used Taiwanese traditional culture as the main concept based on the topic of reminiscence. In order to assimilate into the process for older people, thematic group activities were easy to operate. During the reminiscence play activities, they would improve their personal control and competence, the same as empowerment. A counselor who acted as a group leader led 10 elderly people participated in this reminiscence group play therapy. The participants of the study were 10 older people consisting of 7 males and 3 females who lived in a rehabilitation center in Changhua county of Taiwan. The participants’ average age was 72.5 years old. The study adopted the methods of survey research and the instruments in this study included subjects’ demographic information and the empowerment inventory for adults. A one-group pretest-posttest design was adopted by researchers to test the study hypothesis. The collected data were analyzed by descriptive statistics, and Wilcoxon matched paired signed-ranks test. The main finding of this study was that the reminiscence group play therapy had a significant effect (Z= 2.382, p < .05) to promote the state of empowerment of older people participated in this group play therapy. Based on the conclusion of this study, the suggestions and implications were proposed for the practices and future research.

Keywords: empowerment, group play therapy, older people, reminiscence

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12773 Assessing the Viability of the Death Penalty for Sexual Offences against Minors: A Jurisprudential Analysis Based on Demographic Data from Lagos State, Nigeria

Authors: Lola Vivour-Adeniyi, Oluwatoyosi Abikoye

Abstract:

The death penalty in the 21st century is often considered a relic of the past in many contemporary societies, except where cultural or religious beliefs heavily influence legal systems. However, a recent study on gender-based violence in Lagos State, Nigeria, suggests that this perception might not hold universally. This paper provides a balanced jurisprudential analysis of the death penalty as a punitive measure for sexual offences, particularly against minors, drawing on comprehensive demographic data from 3,225 respondents across various demographics, including gender, age, marital status, religious beliefs, literacy levels, and ethnicity in ten major Local Government Areas. The research captures the diverse perspectives of different demographic groups, weighing the arguments of proponents who see the death penalty as a significant deterrent, a source of justice for victims, and a means to permanently remove dangerous offenders from society against opponents who raise ethical concerns, highlight the risk of wrongful convictions and question its effectiveness in deterring crime. Through a thorough examination of legal frameworks, case studies, and statistical data, this paper presents empirical evidence to reopen the discussion in developing countries. Key questions are addressed: Could the death penalty be an effective measure against sexual assault, particularly involving minors? Would it deter potential offenders? Is it humane to include it in modern legal systems? If not, what long-term reforms could ensure accountability, justice, and enlightenment for those affected by such crimes? This paper aims to foster a nuanced and progressive dialogue, providing insights for policymakers, legal practitioners, jurists, and scholars on the complexities of this contentious issue. The goal is to consider the implications for justice systems in developing countries and to advocate for more effective responses to sexual assault cases and justice for survivors.

Keywords: sexual offences, death penalty, jurisprudential analysis, criminal justice reform

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12772 Factors Affecting eHealth Literacy among Nursing Students in Jordan

Authors: Laila Habiballah, Ahmad Tubaishat

Abstract:

Background: with the development of information and communication technology, using the internet as a source to obtain health information is increasing. Nursing students as future health care providers should have the skills of locating, evaluating and using online health information. This will enable them to help their patients and families to make informed decisions. Aim: this study has a two-fold aim. The first is to assess the eHealth literacy among nursing students in Jordan. The second aim is to explore the factors that have an effect on the eHealth literacy. Methods: this is a descriptive cross-sectional survey that conducted in two universities in Jordan; public and private one. A number of 541 students from both universities were completed the eHEALS scale, which is an instrument designed to measure the eHealth literacy. Some additional personal and demographical variable were collected to explore its effect on eHealth literacy. Results: Students have a high perceived level of e-Health literacy (M=3.62, SD=0.58). They are aware of the available online health resources, know how to search, locate, and use these resources. But, they do not have the skills to evaluate these resources and cannot differentiate between the high and low-quality resources. The results showed as well that type of university, type of students' admission, academic level, students' skills of using the internet, and the perception of usefulness and importance of internet have an effect on the eHealth literacy. While the age, gender, GPA, and the frequency of using the internet was no significant factors. Conclusion: This study represents a baseline reference for the eHealth literacy in Jordan. Students have some skills of eHealth literacy and other skills need to be improved. Nursing educators and administrators should integrate and incorporate the skills of eHealth literacy in the curriculum.

Keywords: eHealth, literacy, nursing, students, Jordan

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12771 A Survey of Digital Health Companies: Opportunities and Business Model Challenges

Authors: Iris Xiaohong Quan

Abstract:

The global digital health market reached 175 billion U.S. dollars in 2019, and is expected to grow at about 25% CAGR to over 650 billion USD by 2025. Different terms such as digital health, e-health, mHealth, telehealth have been used in the field, which can sometimes cause confusion. The term digital health was originally introduced to refer specifically to the use of interactive media, tools, platforms, applications, and solutions that are connected to the Internet to address health concerns of providers as well as consumers. While mHealth emphasizes the use of mobile phones in healthcare, telehealth means using technology to remotely deliver clinical health services to patients. According to FDA, “the broad scope of digital health includes categories such as mobile health (mHealth), health information technology (IT), wearable devices, telehealth and telemedicine, and personalized medicine.” Some researchers believe that digital health is nothing else but the cultural transformation healthcare has been going through in the 21st century because of digital health technologies that provide data to both patients and medical professionals. As digital health is burgeoning, but research in the area is still inadequate, our paper aims to clear the definition confusion and provide an overall picture of digital health companies. We further investigate how business models are designed and differentiated in the emerging digital health sector. Both quantitative and qualitative methods are adopted in the research. For the quantitative analysis, our research data came from two databases Crunchbase and CBInsights, which are well-recognized information sources for researchers, entrepreneurs, managers, and investors. We searched a few keywords in the Crunchbase database based on companies’ self-description: digital health, e-health, and telehealth. A search of “digital health” returned 941 unique results, “e-health” returned 167 companies, while “telehealth” 427. We also searched the CBInsights database for similar information. After merging and removing duplicate ones and cleaning up the database, we came up with a list of 1464 companies as digital health companies. A qualitative method will be used to complement the quantitative analysis. We will do an in-depth case analysis of three successful unicorn digital health companies to understand how business models evolve and discuss the challenges faced in this sector. Our research returned some interesting findings. For instance, we found that 86% of the digital health startups were founded in the recent decade since 2010. 75% of the digital health companies have less than 50 employees, and almost 50% with less than 10 employees. This shows that digital health companies are relatively young and small in scale. On the business model analysis, while traditional healthcare businesses emphasize the so-called “3P”—patient, physicians, and payer, digital health companies extend to “5p” by adding patents, which is the result of technology requirements (such as the development of artificial intelligence models), and platform, which is an effective value creation approach to bring the stakeholders together. Our case analysis will detail the 5p framework and contribute to the extant knowledge on business models in the healthcare industry.

Keywords: digital health, business models, entrepreneurship opportunities, healthcare

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12770 Ridership Study for the Proposed Installation of Automatic Guide-way Transit (AGT) System along Sapphire Street in Balanga City, Bataan

Authors: Nelson Andres, Meeko C. Masangcap, John Denver D. Catapang

Abstract:

Balanga City as, the heart of Bataan, is a growing City and is now at its fast pace of development. The growth of commerce in the city results to an increase in commuters who travel back and forth through the city, leading to congestions. Consequently, queuing of vehicles along national roads and even in the highways of the city have become a regular occurrence. This common scenario of commuters flocking the city, private and public vehicles going bumper to bumper, especially during the rush hours, greatly affect the flow of traffic vehicles and is now a burden not only to the commuters but also to the government who is trying to address this dilemma. Seeing these terrible events, the implementation of an elevated Automated Guide-way transit is seen as a possible solution to help in the decongestion of the affected parts of Balanga City.In response to the problem, the researchers identify if it is feasible to have an elevated guide-way transit in the vicinity of Sapphire Street in Balanga City, Bataan. Specifically, the study aims to determine who will be the riders based on the demographic profile, where the trip can be generated and distributed, the time when volume of people usually peaks and the estimated volume of passengers. Statistical analysis is applied to the data gathered to find out if there is an important relationship between the demographic profile of the respondents and their preference of having an elevated railway transit in the City of Balanga.

Keywords: ridership, AGT, railway, elevated track

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12769 A Survey of Dynamic QoS Methods in Sofware Defined Networking

Authors: Vikram Kalekar

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Modern Internet Protocol (IP) networks deploy traditional and modern Quality of Service (QoS) management methods to ensure the smooth flow of network packets during regular operations. SDN (Software-defined networking) networks have also made headway into better service delivery by means of novel QoS methodologies. While many of these techniques are experimental, some of them have been tested extensively in controlled environments, and few of them have the potential to be deployed widely in the industry. With this survey, we plan to analyze the approaches to QoS and resource allocation in SDN, and we will try to comment on the possible improvements to QoS management in the context of SDN.

Keywords: QoS, policy, congestion, flow management, latency, delay index terms-SDN, delay

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12768 Predicting Personality and Psychological Distress Using Natural Language Processing

Authors: Jihee Jang, Seowon Yoon, Gaeun Son, Minjung Kang, Joon Yeon Choeh, Kee-Hong Choi

Abstract:

Background: Self-report multiple choice questionnaires have been widely utilized to quantitatively measure one’s personality and psychological constructs. Despite several strengths (e.g., brevity and utility), self-report multiple-choice questionnaires have considerable limitations in nature. With the rise of machine learning (ML) and Natural language processing (NLP), researchers in the field of psychology are widely adopting NLP to assess psychological constructs to predict human behaviors. However, there is a lack of connections between the work being performed in computer science and that psychology due to small data sets and unvalidated modeling practices. Aims: The current article introduces the study method and procedure of phase II, which includes the interview questions for the five-factor model (FFM) of personality developed in phase I. This study aims to develop the interview (semi-structured) and open-ended questions for the FFM-based personality assessments, specifically designed with experts in the field of clinical and personality psychology (phase 1), and to collect the personality-related text data using the interview questions and self-report measures on personality and psychological distress (phase 2). The purpose of the study includes examining the relationship between natural language data obtained from the interview questions, measuring the FFM personality constructs, and psychological distress to demonstrate the validity of the natural language-based personality prediction. Methods: The phase I (pilot) study was conducted on fifty-nine native Korean adults to acquire the personality-related text data from the interview (semi-structured) and open-ended questions based on the FFM of personality. The interview questions were revised and finalized with the feedback from the external expert committee, consisting of personality and clinical psychologists. Based on the established interview questions, a total of 425 Korean adults were recruited using a convenience sampling method via an online survey. The text data collected from interviews were analyzed using natural language processing. The results of the online survey, including demographic data, depression, anxiety, and personality inventories, were analyzed together in the model to predict individuals’ FFM of personality and the level of psychological distress (phase 2).

Keywords: personality prediction, psychological distress prediction, natural language processing, machine learning, the five-factor model of personality

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12767 Secondary Traumatic Stress and Related Factors in Australian Social Workers and Psychologists

Authors: Cindy Davis, Samantha Rayner

Abstract:

Secondary traumatic stress (STS) is an indirect form of trauma affecting the psychological well-being of mental health workers; STS is found to be a prevalent risk in mental health occupations. Various factors impact the development of STS within the literature; including the level of trauma individuals are exposed to and their level of empathy. Research is limited on STS in mental health workers in Australia; therefore, this study examined STS and related factors of empathetic behavior and trauma caseload among mental health workers. The research utilized an online survey quantitative research design with a purposive sample of 190 mental health workers (176 females) recruited via professional websites and unofficial social media groups. Participants completed an online questionnaire comprising of demographics, the secondary traumatic stress scale and the empathy scale for social workers. A standard hierarchical regression analysis was conducted to examine the significance of covariates, traumatized clients, traumatic stress within workload and empathy in predicting STS. The current research found 29.5% of participants to meet the criteria for a diagnosis of STS. Age and past trauma within the covariates were significantly associated with STS. Amount of traumatized clients significantly predicted 4.7% of the variance in STS, traumatic stress within workload significantly predicted 4.8% of the variance in STS and empathy significantly predicted 4.9% of the variance in STS. These three independent variables and the covariates accounted for 18.5% of the variance in STS. Practical implications include a focus on developing risk strategies and treatment methods that can diminish the impact of STS.

Keywords: mental health, PTSD, social work, trauma

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12766 3D Object Detection for Autonomous Driving: A Comprehensive Review

Authors: Ahmed Soliman Nagiub, Mahmoud Fayez, Heba Khaled, Said Ghoniemy

Abstract:

Accurate perception is a critical component in enabling autonomous vehicles to understand their driving environment. The acquisition of 3D information about objects, including their location and pose, is essential for achieving this understanding. This survey paper presents a comprehensive review of 3D object detection techniques specifically tailored for autonomous vehicles. The survey begins with an introduction to 3D object detection, elucidating the significance of the third dimension in perceiving the driving environment. It explores the types of sensors utilized in this context and the corresponding data extracted from these sensors. Additionally, the survey investigates the different types of datasets employed, including their formats, sizes, and provides a comparative analysis. Furthermore, the paper categorizes and thoroughly examines the perception methods employed for 3D object detection based on the diverse range of sensors utilized. Each method is evaluated based on its effectiveness in accurately detecting objects in a three-dimensional space. Additionally, the evaluation metrics used to assess the performance of these methods are discussed. By offering a comprehensive overview of 3D object detection techniques for autonomous vehicles, this survey aims to advance the field of perception systems. It serves as a valuable resource for researchers and practitioners, providing insights into the techniques, sensors, and evaluation metrics employed in 3D object detection for autonomous vehicles.

Keywords: computer vision, 3D object detection, autonomous vehicles, deep learning

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12765 3d Gis Participatory Mapping And Conflict Ladm: Comparative Analysis Of Land Policies And Survey Procedures Applied By The Igorots, Ncip, And Denr To Itogon Ancestral Domain Boundaries

Authors: Deniz A. Apostol, Denyl A. Apostol, Oliver T. Macapinlac, George S. Katigbak

Abstract:

Ang lupa ay buhay at ang buhay ay lupa (land is life and life is land). Based on the 2015 census, the Indigenous Peoples (IPs) population in the Philippines is estimated to be 11.3-20.2 million. They hail from various regions, possess distinct cultures, but encounter shared struggles in territorial disputes. Itogon, the largest Benguet municipality, is home to the Ibaloi, Kankanaey, and other Igorot tribes. Despite having three (3) Ancestral Domains (ADs), Itogon is predominantly labeled as timberland or forest. These overlapping land classifications highlight the presence of inconsistencies in national laws and jurisdictions. This study aims to analyze surveying procedures used by the Igorots, NCIP, and DENR in mapping the Itogon AD Boundaries, show land boundary delineation conflicts, propose surveying guidelines, and recommend 3D Participatory Mapping as geomatics solution for updated AD reference maps. Interpretative Phenomenological Analysis (IPA), Comparative Legal Analysis (CLA), and Map Overlay Analysis (MOA) were utilized to examine the interviews, compare land policies and surveying procedures, and identify differences and overlaps in conflicting land boundaries. In the IPA, master themes identified were AD Definition (rights, responsibilities, restrictions), AD Overlaps (land classifications, political boundaries, ancestral domains, land laws/policies), and Other Conflicts (with other agencies, misinterpretations, suggestions), as considerations for mapping ADs. CLA focused on conflicting surveying procedures: AD Definitions, Surveying Equipment, Surveying Methods, Map Projections, Order of Accuracy, Monuments, Survey Parties, Pre-survey, Survey Proper, and Post-survey procedures. MOA emphasized the land area percentage of conflicting areas, showcasing the impact of misaligned surveying procedures. The findings are summarized through a Land Administration Domain Model (LADM) Conflict, for AD versus AD and Political Boundaries. The products of this study are identification of land conflict factors, survey guidelines recommendations, and contested land area computations. These can serve as references for revising survey manuals, updating AD Sustainable Development and Protection Plans, and making amendments to laws.

Keywords: ancestral domain, gis, indigenous people, land policies, participatory mapping, surveying, survey procedures

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12764 Software Quality Assurance in Component Based Software Development – a Survey Analysis

Authors: Abeer Toheed Quadri, Maria Abubakar, Mehreen Sirshar

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Component Based Software Development (CBSD) is a new trend in software development. Selection of quality components is not enough to ensure software quality in Component Based Software System (CBSS). A software product is considered to be a quality product if it satisfies its customer’s needs and has minimum defects. Authors’ survey different research papers and analyzes various techniques which ensure software quality in component based software development. This paper includes an investigation about how to improve the quality of a component based software system without effecting quality attributes. The reported information is identified from literature survey. The developments of component based systems are rising as they reduce the development time, effort and cost by means of reuse. After analysis, it has been explored that in order to achieve the quality in a CBSS we need to have the components that are certified through software measure because the predictability of software quality attributes of system depend on the quality attributes of the constituent components, integration process and the framework used.

Keywords: CBSD (component based software development), CBSS (component based software system), quality components, SQA (software quality assurance)

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12763 Social Media Data Analysis for Personality Modelling and Learning Styles Prediction Using Educational Data Mining

Authors: Srushti Patil, Preethi Baligar, Gopalkrishna Joshi, Gururaj N. Bhadri

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In designing learning environments, the instructional strategies can be tailored to suit the learning style of an individual to ensure effective learning. In this study, the information shared on social media like Facebook is being used to predict learning style of a learner. Previous research studies have shown that Facebook data can be used to predict user personality. Users with a particular personality exhibit an inherent pattern in their digital footprint on Facebook. The proposed work aims to correlate the user's’ personality, predicted from Facebook data to the learning styles, predicted through questionnaires. For Millennial learners, Facebook has become a primary means for information sharing and interaction with peers. Thus, it can serve as a rich bed for research and direct the design of learning environments. The authors have conducted this study in an undergraduate freshman engineering course. Data from 320 freshmen Facebook users was collected. The same users also participated in the learning style and personality prediction survey. The Kolb’s Learning style questionnaires and Big 5 personality Inventory were adopted for the survey. The users have agreed to participate in this research and have signed individual consent forms. A specific page was created on Facebook to collect user data like personal details, status updates, comments, demographic characteristics and egocentric network parameters. This data was captured by an application created using Python program. The data captured from Facebook was subjected to text analysis process using the Linguistic Inquiry and Word Count dictionary. An analysis of the data collected from the questionnaires performed reveals individual student personality and learning style. The results obtained from analysis of Facebook, learning style and personality data were then fed into an automatic classifier that was trained by using the data mining techniques like Rule-based classifiers and Decision trees. This helps to predict the user personality and learning styles by analysing the common patterns. Rule-based classifiers applied for text analysis helps to categorize Facebook data into positive, negative and neutral. There were totally two models trained, one to predict the personality from Facebook data; another one to predict the learning styles from the personalities. The results show that the classifier model has high accuracy which makes the proposed method to be a reliable one for predicting the user personality and learning styles.

Keywords: educational data mining, Facebook, learning styles, personality traits

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12762 Estimation of a Finite Population Mean under Random Non Response Using Improved Nadaraya and Watson Kernel Weights

Authors: Nelson Bii, Christopher Ouma, John Odhiambo

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Non-response is a potential source of errors in sample surveys. It introduces bias and large variance in the estimation of finite population parameters. Regression models have been recognized as one of the techniques of reducing bias and variance due to random non-response using auxiliary data. In this study, it is assumed that random non-response occurs in the survey variable in the second stage of cluster sampling, assuming full auxiliary information is available throughout. Auxiliary information is used at the estimation stage via a regression model to address the problem of random non-response. In particular, the auxiliary information is used via an improved Nadaraya-Watson kernel regression technique to compensate for random non-response. The asymptotic bias and mean squared error of the estimator proposed are derived. Besides, a simulation study conducted indicates that the proposed estimator has smaller values of the bias and smaller mean squared error values compared to existing estimators of finite population mean. The proposed estimator is also shown to have tighter confidence interval lengths at a 95% coverage rate. The results obtained in this study are useful, for instance, in choosing efficient estimators of the finite population mean in demographic sample surveys.

Keywords: mean squared error, random non-response, two-stage cluster sampling, confidence interval lengths

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12761 Changes to Populations Might Aid the Spread Antibiotic Resistance in the Environment

Authors: Yasir Bashawri, Vincent N. Chigor James McDonald, Merfyn Williams, Davey Jones, A. Prysor Williams

Abstract:

Resistance to antibiotics has become a threat to public health. As a result of their misuse and overuse, bacteria have become resistant to many common antibiotics. Βeta lactam (β-lactam) antibiotics are one of the most significant classes of antimicrobials in providing therapeutic benefits for the treatment of bacterial infections in both human and veterinary medicine, for approximately 60% of all antibiotics are used. In particular, some Enterobacteriaceae produce Extend Spectrum Beta Lactamases (ESBLs) that enable them to some break down multi-groups of antibiotics. CTX-M enzymes have rapidly become the most important ESBLs, with increases in mainly CTX-M 15 in many countries during the last decade. Global travel by intercontinental medical ‘tourists’, migrant employees and overseas students could theoretically be a risk factor for spreading antibiotic resistance genes in different parts of the world. Bangor city, North Wales, is subject to sudden demographic changes due to a large proportion (>25%) of the population being students, most of which arrive over a space of days. This makes it a suitable location to study the impacts of large demographic change on the presence of ESBLs. The aim of this study is to monitor the presence of ESBLs in Escherichia coli and faecal coliform bacteria isolated from Bangor wastewater treatment plant, before, during and after the arrival week of students to Bangor University. Over a five-week period, water samples were collected twice a week, from the influent, primary sedimentation tank, aeration tank and the final effluent. Isolation and counts for Escherichia coli and other faecal coliforms were done on selective agar (primary UTI agar). ESBL presence will be confirmed by phenotypic and genotypic methods. Sampling at all points of the tertiary treatment stages will indicate the effectiveness of wastewater treatment in reducing the spread of ESBLs genes. The study will yield valuable information to help tackle a problem which many regard to be the one of the biggest threats to modern-day society.

Keywords: extended spectrum β-lactamase, enterobacteriaceae, international travel, wastewater treatment plant

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12760 Contribution to the Study of the Use of Pesticides in the Regions of Tizi Ouzou

Authors: Ramdane Gaouir

Abstract:

Farmers in the two regions of Tizi-Ouzou, DBK and Tadmait, face different crop pests, namely, fungal diseases, insect attack as well as different types of deficiencies. To fight against all these threats, they resort to the use of a wide variety of chemicals. Our survey carried out in these two regions, aims to identify the different types of pesticides used, the method of management of the packaging generated by these phytosanitary products as well as the evaluation of the effect of these products on the farmers' health and the environment. The results obtained highlighted the use of two types of pesticides with a very wide application, namely fungicides and insecticides. The two most widely identified chemical families are neonicotoids and organophosphates, which are among the most toxic and persistent pesticides in the environment. The management method of packaging and the application of products by spraying reflect the lack of training and the unawareness of farmers vis-à-vis the impact of pesticides on their health and on the environment.

Keywords: farmers, crops, pesticides, fungicides, neonicotinoids, organochlorines

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12759 Assessment of Land Use and Land Cover Change in Lake Ol Bolossat Catchment, Nyandarua County, Kenya

Authors: John Wangui, Charles Gachene, Stephen Mureithi, Boniface Kiteme

Abstract:

Land use changes caused by demographic, natural variability, economic, technological and policy factors affect the goods and services derived from an ecosystem. In the past few decades, Lake Ol Bolossat catchment in Nyandarua County Kenya has been facing challenges of land cover changes threatening its capacity to perform ecosystems functions and adversely affecting communities and ecosystems downstream. This study assessed land cover changes in the catchment for a period of twenty eight years (from 1986 to 2014). Analysis of three Landsat images i.e. L5 TM 1986, L5 TM 1995 and L8 OLI/TIRS 2014 was done using ERDAS 9.2 software. The results show that dense forest, cropland and area under water increased by 27%, 29% and 3% respectively. On the other hand, open forest, dense grassland, open grassland, bushland and shrubland decreased by 3%, 3%, 11%, 26% and 1% respectively during the period under assessment. The lake was noted to have increased due to siltation caused by soil erosion causing a reduction in Lake’s depth and consequently causing temporary flooding of the wetland. The study concludes that the catchment is under high demographic pressure which would lead to resource use conflicts and therefore formulation of mitigation measures is highly recommended.

Keywords: land cover, land use change, land degradation, Nyandarua, Remote sensing

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12758 A Quantitative Analysis of the Conservation of Resources, Burnout, and Other Selected Behavioral Variables among Law Enforcement Officers

Authors: Nathan Moran, Robert Hanser, Attapol Kuanliang

Abstract:

The purpose of this study is to determine the relationship between personal and social resources and burnout for police officers. Current conceptualizations of the condition of burnout are challenged as being too phenomenological and ambiguous, and consequently, not given to direct empirical testing. The conservation of resources model is based on the supposition that people strive to retain, protect, and build resources as a means to protect them from the impacts of burnout. The model proposes that the effects of stress (i.e. burnout) can be manifested in personal and professional attitudes and attributes, which can measure burnout using self-reports to provide strong support for the conservation of resources model, in that, personal and professional demands are related to the exhaustion component of burnout, whereas personal and professional resources can be compiled to counteract the negative impact of the burnout condition. Highly similar patterns of burnout resistance factors were witnessed in police officers in two department precincts (N:81). In addition, results confirmed the positive influence of key demographic variables in burnout resistance using the conservation of resources model. Participants in this study are all sheriff’s deputies with a populous county in a Pacific Northwestern state (N = 274). Four instruments will be used in this quantitative study for data collection (a) a series of demographic questions, (b) the Organizational Citizenship Behavior, (c) the PANAS-X Scale (OCB: Watson& Clark, 1994), and (d) The Maslach Burnout Inventory.

Keywords: behavioral, burnout, law enforcement, quantitative

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12757 A Multilevel Approach of Reproductive Preferences and Subsequent Behavior in India

Authors: Anjali Bansal

Abstract:

Reproductive preferences mainly deal with two questions: when a couple wants children and how many they want. Questions related to these desires are often included in the fertility surveys as they can provide relevant information on the subsequent behavior. The aim of the study is to observe whether respondent’s response to these questions changed over time or not. We also tried to identify socio- economic and demographic factors associated with the stability (or instability) of fertility preferences. For this purpose, we used IHDS1 (2004-05) and follow up survey IHDS2 (2011-12) data and applied bivariate, multivariate and multilevel repeated measure analysis to it to find the consistency between responses. From the analysis, we found that preferences of women changes over the course of time as from the bivariate analysis we have found that 52% of women are not consistent in their desired family size and huge inconsistency are found in desire to continue childbearing. To get a better overlook of these inconsistencies, we have computed Intra Class Correlation (ICC) which tries to explain the consistency between individuals on their fertility responses at two time periods. We also explored that husband’s desire for additional child specifically male offspring contribute to these variations. Our findings lead us to a cessation that in India, individuals fertility preferences changed over a seven-year time period as the Intra Class correlation comes out to be very small which explains the variations among individuals. Concerted efforts should be made, therefore, to educate people, and conduct motivational programs to promote family planning for family welfare.

Keywords: change, consistency, preferences, over time

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12756 Longitudinal Examination of Depressive Symptoms among U.S. Parents who Gave Birth During the COVID-19 Pandemic

Authors: Amy Claridge, Tishra Beeson

Abstract:

Background: Maternal depression is a serious health concern impacting between 10-16% of birthing persons. It is associated with difficulty in emotional interaction and the formation of attachment bonds between parent and infant. Longitudinally, maternal depression can have severe, lasting impacts on both parent and child, increasing the risk for mental, social, and physical health issues. Rates of prenatal depression have been higher among individuals who were pregnant during the first year of the COVID-19 pandemic. Pregnant persons are considered a high-risk group for poor clinical outcomes from COVID-19 infection and may also have faced or continue to face additional stressors such as financial burdens, loss of income or employment, and the benefits accompanying employment, especially among those in the United States (U.S.). It is less clear whether individuals who gave birth during the pandemic continue to experience high levels of depressive symptoms or whether symptoms have been reduced as a pandemic response has shifted. The current study examined longitudinal reports of depressive symptoms among individuals in the U.S. who gave birth between March 2020 and September 2021. Methods: This mixed-method study involved surveys and interviews with birthing persons (18-45 years old) in their third trimester of pregnancy and at 8 weeks postpartum. Participants also completed a follow-up survey at 12-18 months postpartum. Participants were recruited using convenience methods via an online survey. Survey participants included 242 U.S. women who self-reported depressive symptoms (10-item Edinburgh Postnatal Depression Scale) at each data collection wave. A subset of 23 women participated in semi-structured prenatal and 8-week postpartum qualitative interviews. Follow-up interviews are currently underway and will be integrated into the presentation. Preliminary Results: Prenatal depressive symptoms were significantly positively correlated to 8-week and 12-18-month postpartum depressive symptoms. Participants who reported clinical levels of depression prenatally were 3.29 times (SE = .32, p < .001) more likely to report clinical levels of depression at 18 months postpartum. Those who reported clinical depression at 8-weeks postpartum were 6.52 times (SE = .41, p < .001) more likely to report clinical levels of depression at 18 months postpartum. Participants who gave birth earlier in the pandemic reported significantly higher prenatal (t(103) = 2.84, p < .01) and 8-week postpartum depressive symptoms (t(126) = 3.31, p < .001). Data from qualitative interviews contextualize the findings. Participants reported negative emotions during pregnancy, including sadness, grief, and anxiety. They attributed this in part to their experiences of pregnancy during the pandemic and uncertainty related to the birth experience and postpartum period. Postpartum interviews revealed some stressors specific to childbirth during the COVID-19 pandemic; however, most women reflected on positive experiences of birth and postpartum. Conclusions: Taken together, findings reveal a pattern of persistent depressive symptoms among U.S. parents who gave birth during the pandemic. Depressive symptoms are of significant concern for the health of parents and children, and the findings of this study suggest a need for continued mental health intervention for parents who gave birth during the pandemic. Policy and practice implications will be discussed.

Keywords: maternal mental health, perinatal depression, postpartum depression, covid-19 pandemic

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12755 A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection

Authors: Niloofar Yousefi, Marie Alaghband, Ivan Garibay

Abstract:

With the increase of credit card usage, the volume of credit card misuse also has significantly increased, which may cause appreciable financial losses for both credit card holders and financial organizations issuing credit cards. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to adapt to ever-evolving, increasingly sophisticated defrauding strategies and identifying illicit transactions as quickly as possible to protect themselves and their customers. Compounding on the complex nature of such adverse strategies, credit card fraudulent activities are rare events compared to the number of legitimate transactions. Hence, the challenge to develop fraud detection that are accurate and efficient is substantially intensified and, as a consequence, credit card fraud detection has lately become a very active area of research. In this work, we provide a survey of current techniques most relevant to the problem of credit card fraud detection. We carry out our survey in two main parts. In the first part, we focus on studies utilizing classical machine learning models, which mostly employ traditional transnational features to make fraud predictions. These models typically rely on some static physical characteristics, such as what the user knows (knowledge-based method), or what he/she has access to (object-based method). In the second part of our survey, we review more advanced techniques of user authentication, which use behavioral biometrics to identify an individual based on his/her unique behavior while he/she is interacting with his/her electronic devices. These approaches rely on how people behave (instead of what they do), which cannot be easily forged. By providing an overview of current approaches and the results reported in the literature, this survey aims to drive the future research agenda for the community in order to develop more accurate, reliable and scalable models of credit card fraud detection.

Keywords: Credit Card Fraud Detection, User Authentication, Behavioral Biometrics, Machine Learning, Literature Survey

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12754 Zoonotic Risk Practices in Rural Households in the Penka-Michel Health District (West Cameroon)

Authors: Namekong Fokeng Armand

Abstract:

Background: Zoonoses are nowadays a serious public health problem in both developing and developed countries. They contribute to increase the economic burden. In case of emergence, rural populations are the most affected, hence the need to investigate risk practices in rural households of Penka-Michel (West Cameroon). Methods: This cross-sectional study was conducted from October to November 2021 among 200 heads of households living in the Penka-Michel health district (West Cameroon). It was done using a pre-tested and validated questionnaire, allowing to obtain socio-demographic, economic data, and data on zoonotic risk practices. Results: The participants [women (56%), men (44%)] worked mainly in the informal private sector (53%) and practiced agriculture secondarily (90%). Their highest level of education, for the most part, was a secondary school (50%); the average household size was 06 persons with a monthly income > 36270 FCFA (72%). 74% of household heads thought that animals can transmit diseases, and 17% had heard about zoonotic diseases through the media (65%). Rats caught in households (60%) were consumed there (74%), as was bush meat (61%) or dog meat (18%). For family food (90%), animals were slaughtered within the household (97%), rarely preceded by a veterinary inspection (6%). 87% of households practiced traditional rites with animal blood, 65% shared the same habitat as their animals, 41% did not systematically wash their hands after handling animals. More than 50% of households owned one or more dogs, usually strays (41%) and 48% of which were vaccinated (rabies). Many households had at least one: poultry (98%); pig (50%); dog (57%), cat (52%). 25% of households slaughtered sick animals for consumption, and 27% ate dead animals. Conclusion: This study identified numerous zoonotic risk practices in households in the Penka-Michel health district (West Cameroon). Concerted, multisectoral communication / awareness-raising actions are needed to break with these practices.

Keywords: zoonoses, risky practices, rural households, penka-michel, cameroon

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12753 Investigating of Predisposing Factors for Domestic Violence against Women

Authors: Mozhgan Sigarchian, Shiva Alizadeh, Seyedeh Akram Nazarkardeh

Abstract:

Introduction: The one of the most common forms of violence against women is domestic violence and it is one of the most acute social problems that affecting the individual physical and mental health and, in turn, the health of the family and the community. In all of the world especially in developing country, women suffer violent during her lifetime. Violence against women and girls is a serious threat to health and human rights. Several factors such as low literacy, the low income and poverty affects violence. The purpose of this study was to determine the factors conducive to domestic violence against women in Rasht, Iran, So that based on the findings, preventive measures can be taken to reduce violence and increase support for women. Methods: This is a descriptive-analytic study that was performed on 300 eligible women referred to clinics and physicians' offices in Rasht, Iran, 2017, by convenience sampling method. The questionnaire used included demographic questionnaires and domestic violence with 3 domains: physical, psychological, and sexual violence. Data were analyzed by SPSS software using independent t-test, Chi-square and Mann-Whitney tests. Result: The mean age in the group with and without domestic violence was 28.31 ± 6.097 and 32.52 ± 9.8, respectively. 168 women (56%) were reported to be violent. The results indicate that there is a significant relationship between age, husband's age, number of family members, and educational level of women with violence. But, there was no significant relationship between the duration of marriage, the education of husbands, the occupation of women and their husbands, housing situation, smoking with violence. Conclusion: The results showed that some factors such as education, age, and the number of families can affect the level of violence. According to the results, as well as a high prevalence of domestic violence among women in this study, it is suggested that training be given to families to increase women's empowerment and prevent violence against women.

Keywords: domestic violence, predisposing factors, violence, women

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12752 Predictors of Childhood Trauma and Dissociation in University Students

Authors: Erdinc Ozturk, Gizem Akcan

Abstract:

The aim of this study was to determine some psychosocial variables that predict childhood trauma and dissociation in university students. These psychosocial variables were perceived social support, relationship status, gender and life satisfaction. 250 (125 males, 125 females) university students (bachelor, master and postgraduate degree) were enrolled in this study. They were chosen from universities in Istanbul at the education year of 2016-2017. Dissociative Experiences Scale (DES), Childhood Trauma Questionnaire (CTQ), Multidimensional Perceived Social Support Scale, Life Satisfaction Scale and Relationship Scales Questionnaire were used to assess related variables. Demographic information form was given to students in order to have their demographic information. Frequency distribution, multiple linear regression, and t-test analysis were used for statistical analysis. As together, perceived social support, relationship status and life satisfaction were found to have predictive value on trauma among university students. However, as together, these psychosocial variables did not have predictive value on dissociation. Only, trauma and relationship status had significant predictive value on dissociation. Moreover, there was significant difference between males and females in terms of trauma; however, dissociation scores of participants were not significantly different in terms of gender.

Keywords: childhood trauma, dissociation, perceived social support, relationship status, life satisfaction

Procedia PDF Downloads 265