Volume 9, Issue 8, August 2021 Edition - IEEE-SEM Journal Publication
Use of Machine learning models for predicting and improving maternal and child health indicatorsPDF
Muhammad Ehsan Ul Haq, Kainat Hussain, Rehan Farroq
Preterm births are quite common, with a prevalence of 10-15%. Child death rate, developmental delay, and lengthy impairments are all increased risks for preemies. Only the most experienced physicians have difficulty predicting premature birth. So far, a well medical research has a responsiveness of 18.2–24.2 percent and a precision of 28.6–33.3 percent. We adopt an alternative strategy, relying on datasets of routine hospital procedures. Our goals are 2 fold: I to develop an easy-to-understand, comprehensible accurate testing with quantifiable limitations, and (ii) to provide reliable preterm birth prediction categorizers. The biggest reason of death in kids below the age of 5 is preterm birth. Low birth weight and fertilization period, in instance, are linked to an increased chance of death. Premature delivery also raises the chance of a variety of problems, which can lead to death or lengthy morbidity both with personal and social consequences. We utilize artificial intelligence to determine newborn death and newborn illnesses such as bronchopulmonary dysplasia, necrotizing enterocolitis, and retinopathy of immaturity in extremely low birth weight babies in this study. Time series analysis and clinical characteristics from the newborn healthcare facility of Helsinki University Hospital's Children's Hospital were used as classifiers. The goal of this research was to see how maternal age affected cognitive performance, as well as the corresponding changes of female's mother position and early life experiences. Females were classified into four categories based on their age and maternity status. Spatial Working Memory (SWM), Intra Extra Dimensional Set Shift (IED), and Stockings of Cambridge were among the cognitive function tasks performed by the participants (SOC). The Childhood Trauma Questionnaire was also performed by the females to measure their childhood challenge situations. The study concluded that there were main influences of maturity and maternal status for the IED test, and also an interaction between the two; elders outperformed adolescents, mothers outperformed non-mothers, and adolescent non-mothers fared the worst of all categories.
Security Challenges, Threat and Solutions for 5G Network for IoTPDF
Abhilash Kayyidavazhiyil, Sheena Kaipacheri
There are numerous safety concerns with the deployment of 5G mobile broadband systems. It is necessary to conduct a complete analysis of the modern 5G Mobile Wifi Networking in comparison to the traditional cellphone networks (4G). It starts with the 5G broadcaster's unique characteristics and unique objectives, and the rationale for 5G Cellular Safety. Risks and security problems will be investigated. It is necessary to describe current advances in the present design of 5G Mobile Network depending on safety features such as gadget identification, networking accessibility in a given region, information encryption, protection, and incursion prevention. Due to the self-evident various emerging innovations utilized in 5G, such as the Internet of Things (IoT), massive multiple-input multiple-output (mMIMO), device-to-device communications (D2D), and software defined networks, the 5G Mobile Wireless Network incorporates additional security measures (SDN). Modern 5G Mobile Wireless Safety is described depending on such safety advancements and study. And for current cellular wireless network, additional penetration identification algorithms must definitely become created. Following that, the approaches for upcoming and breadth of safety administration in 5G are summarized. Succeeding networks (5G) may employ innovative technical principles to provide amazingly and inexpensive digital services worldwide, significant consumer and gadget accessibility, and connection of a large amount of gadgets (e.g., Internet of Things (IoT)). The more sought-after solutions to satisfy such needs are Software Defined Networking (SDN) and Network Function Virtualization (NFV), which use developments in cloud technology like Smartphone Cloud Computing. The key problems include securing these innovations and ensuring consumer security in upcoming cellular communications. As a result, this article gives an outline of cyber safety problems, SDN and NFV issues, and consumer security difficulties. This article will now provide answers to these problems as well as upcoming approaches for securing 5G networks. 5G will give ubiquitous network service, increase consumer portability, and allow moderate speeds and inexpensive connection of a large amount of gadgets (e.g., Internet of Things (IoT)). Information technology, Software Defined Networking (SDN), and Network Function Virtualization (NFV) are among the key technology accelerators developing for usage in 5G. But, in addition to rising worries about consumer privacy, these innovations have significant safety issues. We offer an outline of the safety difficulties in these techniques, as well as data protection concerns in 5G, in this article. We also discuss safety remedies to current issues as well as upcoming approaches for safe 5G networks.
Use of ehealth and big data in management of Non Communicable Diseases in Developing Countries; the Kenyan Healthcare sector.PDF
Caroline BOORE, Vincent M MUTISO, Vera OBONYO
The burden of disease in developing countries is undergoing demographic transition from communicable diseases to increasing prevalence of non-communicable diseases (NCDs). NCDs disproportionately affect people in low- and middle-income countries where more than three quarters of global NCD deaths 31.4 million occur. Big data and ehealth has implications on healthcare on patients, providers, researchers and health professionals. Big data in the healthcare sector can be used to predict outcome of diseases and epidemics, improve treatment, quality of life, and prevent premature deaths and disease development. Big data also provides information about diseases and warning signs for treatment to be administered. This will help not only to prevent co-morbidities and mortality but also assists government to save the cost of medical treatment. Ehealth allows healthcare providers to better engage with patients, make more efficient and accurate decisions about care, and streamline provider workflow in real-time. Despite the immense benefits accrued from big data management and ehealth in the healthcare sector developing countries are grappling with a myriad of challenges in its utilization. By analyzing existing literature using scoping review research approach this paper explored the use of ehealth and big data in management of non communicable diseases in Kenya. To achieve our main objective, six databases were searched and 291 papers screened for inclusion. As a result of the search and screen process, we identified 36 relevant articles. Key words: Big data, Ehealth, Healthcare
Student Engagement and Teaching Competence in Relation to the Implementation of Online Distance LearningPDF
Analyn S. Clarin, Esther L. Baluyos
Student engagement and teaching competence are tenets of effective online education. This study determined the level of student engagement, teaching competence, and the effectiveness of online distance learning in the Basic Education Department of Misamis University, Ozamiz City. The study utilized a descriptive-correlational design. A total of 51 teachers and 306 students who served as respondents were chosen through purposive and random sampling, respectively. Online Student Engagement Questionnaire and Online Teaching Effectiveness Questionnaire were used to gather data. Secondary data was used to measure the teaching competence in online classes. Mean, Standard Deviation, T-test and Pearson Product Moment Correlation Coefficient were the statistical tools used in the study. Results showed that the students have a high level of engagement in online distance learning and teachers have very satisfactory teaching competence. The implementation of online distance learning is effective. A difference in the teachers’ and students’ perceptions on the level of engagement of students in online distance learning is in terms of interaction with the teachers. The students’ level of engagement in terms of community support and the level of effectiveness of online distance learning and the teachers’ teaching competence influenced the effectiveness of the implementation of online distance learning in terms of active learning, prompt feedback, high expectations, and diverse talents and ways of learning. Teachers’ teaching competence greatly affects the effectiveness of the implementation of online distance learning. Keywords: competence, connection, engagement, effectiveness, online distance learning
INVESTIGATION THE PHYSICAL PROPERTIES AND OPTIMIZATION THE PROCESS PARAMETERS OF THE BIO COMPOSITE SYNTHESIZED FROM RECYCLED POLYETHYLENE TERE PHATALATE (PET) AND AGAVE SISALINA (SISAL) PLANT FIBER FOR HOUSE CELLING APPLICATIONS.PDF
DANIEL TASEW
Sisal natural fiber - recycled pet bio composite is a composite material produced from sisal fiber and polyethylene Tere Phthalate (PET) injection pressing and by using hot pressing. The recycled pet has been utilized as the matrix and the natural sisal fiber acts as reinforcement in the course of the production of the composite material. The composite material has been made for the house ceiling application.
Assessment of Female students’ Knowledge toward Menstrual Hygiene at College of Nursing, University of Kufa, IraqPDF
Rusul Ali Khadim
Background: Managing menstruation is typically dealing with menstrual flow and also in continuing daily activities like going to university, working etc. However, menstruation can place important difficulties in girls’ access to health, education and future prospects if they are not prepared for effective menstrual hygiene. Also, inadequate menstrual health management may lead to health symptoms including urology and genital problem. Female require more knowledge and attention during menstrual period due to effect of this period on their physical and psychological health in addition to accompanying pain. Therefore, maintain health of woman start from personal hygiene at this period. Aims of the study: To assess the students’ knowledge toward management of menstrual hygiene among female students in nursing college/ university of Kufa Methodology: A cross-sectional descriptive purposive study is conducted through the period of 20th February to 25th June 2021. The study was purposive (non-probability) sample of (175) students, whose age are between 18 - ≥24 Years old have been selected at college of Nursing/ University of Kufa in AL- Najaf City/ Iraq. Results: the overall assessment of items was good knowledge. Likewise, the general assessment was (2.9029±0.08519) related to students’ knowledge toward menstrual cycle. In addition, the assessment of knowledge regarding menstruation hygiene management was good knowledge for all items. Also, the general assessment was (2.9133±0.07285). Conclusion: the results found that these young females had adequate knowledge and their knowledge not requires to improve. Recommendations: mothers are the main source of information regarding menstruation and menstrual hygiene, therefore proper education of mothers and adolescent girls is very important. It is good for students to have knowledge of menstruation and this makes them a reliable source for spreading knowledge about menstruation and about managing proper hygiene practices. Keywords: Assessment, Knowledge, Menstrual Hygiene.
The Role of Technology in Election management with example from five Democracies.PDF
Abubakar Sodeeq Suleiman, Abdulsalam Alhaji Gambo, Mariyah Izah
With the introduction of technology, complex electoral management processes can be made simpler and easier to organize. Advances in technology can thus speed processes up and reduce the workload involved in election management. In many countries today, technology is seen by the electoral management body (EMB) also as a means of minimizing the potentials for errors, and not just a tool for problem solving. For this reason therefore, many democracies around the world, with Nigeria not left out, have adopted various forms of electoral technologies in the conduct of their elections and this has drastically reduced electoral malfeasance. Despite the peculiar challenges that come with the use of technologies, countries continue to make use of it in the management of election mainly because of the essential role it plays which includes the reduction of stress as well as assuring credibility and transparency etc.
The Historical evolution of Nigeria's present model of election and its unique featuresPDF
Abubakar Sodeeq Suleiman, Abdulsalam Alhaji Gambo, Kolawole Sherifdeen Kehinde
Election is key to the stability of democracy in any country because it enables the citizens decide who represent and govern them. Models of election is a peculiarity in the way a polity utilizes electoral system that best addresses its political environment. Electoral system design also affects other areas of electoral laws: the choice of electoral system has an influence on the way in which district boundaries are drawn, how voters are registered, the design of ballot papers, how votes are counted, and numerous other aspects of the electoral process. This paper looks at different types of electoral system, historical evolution of Nigeria present models of elections and it conclude by recommending and suggesting strategies to best attained dividend of democracy from our models of election.
Extraction of Silica from Sorghum Stalk and Application for Adsorption of Methylene Blue from Aqueous SolutionPDF
Gezahegn Mebiratu, Amare Ayalew and Hirpo Hinsene
In the world, different pollutants from industries released every day to the environment without treatment. For this studies synthesized silica from Sorghum Stalk was used for adsorption of Methylene Blue dye from aqueous solution. Agricultural wastes used for the preparation of adsorbents, among those sorghum stalk is the one which was used in this study. The main raw material for synthesis of silica sorghum stalk is easily available in Ethiopia. Synthesized silica was characterized by modern spectroscopic technique like x-ray powder diffraction (XRD), Fourier transform infrared spectrometry (FTIR), Uv-visible spectrophometry (UV-Vis) and inductively coupled plasma-optical emission (ICP-OES). From ICP-OES the highest silica (SiO2) with value (8,265.21 mg/kg) was obtained. The influence of operating parameters like pH, dosage, contact time and concentration, on the removal of MB were investigated. Depending on the above parameters, SiO2 was able to remove rapidly at pH (10), dosage (0.4g), time (180 min) and concentration (5ppm) of Methylene blue. By this adsorbent around 96.5 % removal efficiency of methylene blue dye was achieved. The studies adsorption isotherm fit with Freundlich isotherm with R2 of 0.99 and adsorption kinetics of Pseudo-first-order adsorption Kinetics (R2= 0.995). Keywords: Adsorbent, Isotherm, Methylene blue, Silica, Sorghum stalk