1,352 research outputs found
Supplemental Material, sj-docx-1-ptd-10.1177_08968608221079183 - Associations, microbiology and outcomes of pre-training peritoneal dialysis-related peritonitis
No full textSupplemental Material, sj-docx-1-ptd-10.1177_08968608221079183 for Associations, microbiology and outcomes of pre-training peritoneal dialysis-related peritonitis by Ashik Hayat, David W Johnson, Carmel M Hawley, Lauren R Jaffrey, Usman Mahmood, Sarah Saw Yu Mon and Yeoungjee Cho in Peritoneal Dialysis International</p
Infopreneurship from the Perspective of Great Infopreneurs: an interview with Dan Poynter
No full textDan Poynter is author of more than 130 books, has been a publisher since 1969, and is a Certified Speaking Professional (CSP). He is an evangelist for books, an ombudsman for authors, an advocate for publishers, and the godfather to thousands of successfully published books. In this interview Poynter offers his point of view towards infopreneurship in context
Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems
No full textGlobally, under-five child mortality is a substantial health problem. In developing countries, reducing child mortality and improving child health are the key priorities in health sectors. Despite the significant reduction in deaths of under-five children globally, developing countries are still struggling to maintain an acceptable mortality rate. Globally, the death rate of under-five children is 41 per 1000 live births. However, the death rate of children in developing nations like Pakistan and Ethiopia per 1000 live births is 74 and 54, respectively. Such nations find it very challenging to decrease the mortality rate. Data analytics on healthcare data plays a pivotal role in identifying the trends and highlighting the key factors behind the children deaths. Similarly, predictive analytics with the help of Internet of Things based frameworks significantly advances the smart healthcare systems to forecast death trends for timely intervention. Moreover, it helps in capturing hidden associations between health-related variables and key death factors among children. In this study, a predictive analytics framework has been developed to predict the death rates with high accuracy and to find the significant determinants that cause high child mortality. Our framework uses an automated method of information gain to rank the information-rich mortality variables for accurate predictions. Ethiopian Demographic Health Survey and Pakistan Demographic Health Survey data sets have been used for the validation of our proposed framework. These real-world data sets have been tested using machine learning classifiers, such as Naïve Bayes, decision tree, rule induction, random forest, and multi-layer perceptron, for the prediction task. It has been revealed through our experimentation that Naïve Bayes classifier predicts the child mortality rate with the highest average accuracy of 96.4% and decision tree helps in identifying key classification rules covering the factors behind children deaths
Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)
No full textImmunization is a noteworthy and proven tool for eliminating life-threating infectious diseases, child mortality and morbidity. Expanded Program on Immunization (EPI) is a nation-wide program in Pakistan to implement immunization activities, however the coverage is quite low despite the accessibility of free vaccination. This study proposes a defaulter prediction model for accurate identification of defaulters. Our proposed framework classifies defaulters at five different stages: defaulter, partially high, partially medium, partially low, and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule. Different machine learning algorithms are applied on Pakistan Demographic and Health Survey (2017-18) dataset. Multilayer Perceptron yielded 98.5% accuracy for correctly identifying children who are likely to default from immunization series at different risk stages of being defaulter. In this paper, the proposed defaulters' prediction framework is a step forward towards a data-driven approach and provides a set of machine learning techniques to take advantage of predictive analytics. Hence, predictive analytics can reinforce immunization programs by expediting targeted action to reduce dropouts. Specially, the accurate predictions support targeted messages sent to at-risk parents' and caretakers' consumer devices (e.g., smartphones) to maximize healthcare outcomes
Comprehensive Study on the Performance of Waste HDPE and LDPE Modified Asphalt Binders for Construction of Asphalt Pavements Application
No full textThis research is aimed at investigating the mechanical behavior of the bitumen by the addition of high-density polyethylene (HDPE) and low-density polyethylene (LDPE) obtained from waste plastic bottles and bags. Polymers (HDPE and LDPE) with percentages of 0%, 2%, 4%, and 6% in shredded form by weight of bitumen were used to evaluate the spectroscopic, structural, morphological, and rheological properties of polymer-modified binders. The rheological properties for different factors; viscosity (ἠ) from Rotational Viscometer (RV), rutting factor G*/Sin (δ), fatigue characteristics G*. Sin (δ), for the modified binder from dynamic shear rheometer (DSR), Short and long-term aging from rolling thin film oven (RTFO), and pressure aging vessel (PAV) was determined. The thermal characteristics, grain size, and texture of polymers for both LDPE and HDPE were found using bending beam rheometer (BBR) and X-ray diffraction (XRD), respectively. Fourier transform infrared (FTIR) analysis revealed the presence of polymer contents in the modified binder. Scanning electron microscopy (SEM) images revealed the presence of HDPE and LDPE particles on the surface of the binder. Creep Rate (m) and Stiffness (S) analysis in relationship with temperature showed a deduction in stress rate relaxation. Results have revealed the best rutting resistance for 6% HDPE. It also showed an improvement of 95.27% in G*/Sin (δ) which increased the performance of the bituminous mix. Similarly, the addition of 4% LDPE resulted in maximum dynamic viscosity irrespective of the temperatures. Moreover, fatigue resistance has shown a significant change with the HDPE and LDPE. The festinating features of waste plastic modified binder make it important to be used in the new construction of roads to address the high viscosity and mixing problems produced by plastic waste and to improve the performance of flexible pavements all over the world
INEC AND ELECTORAL MALFEANCE IN NIGERIA: A CALL FOR THE PROSECUTION OF PROFESSOR MAHMOOD YAKUBU
No full textA man of history, Mahmood Yakubu is a professor of political history and international studies. He was the first man to receive a first-class history degree from Usman Dan Fodio University, which is now known as the University of Sokoto. His rigging, though, was unmatched. Not only were there problems with the 2023 INEC election, but public money was also wasted. The outcomes were inexplicable. It is obvious that the presidency was sold to the highest bidder and that the body that should have served as an impartial umpire was turned into a weapon of lopsidedness. I defended the need for the INEC chairman to be held accountable for his crimes in my research paper.
KEYWORDS: election fraud, criminal activity, offender, cabaltocracy, a felony
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Teoría feminista y el agente social dócil: algunas reflexiones sobre el renacimiento islámico en Egipto
No full textThis article was originally published by Saba Mahmood in the journal Cultural Anthropology, volume 16, number 2, in 2001 with the title: «Feminist Theory, Embodiment, and the Docile Agent: Some Reflections on the Egyptian Islamic Revival». In 2008, the article was published in Spanish in a book edited by Liliana Suárez Navaz y Rosalva Aída Hérnandez Castillo in Cátedra: Descolonizando el feminismo: teorías y prácticas desde los márgenes. In the article, Saba Mahmood, who recently passed away, deals with a main debate in feminist theory: social agency. Through an analysis of the piety movement in Egypt in the 1990s and precisely of the study of five mosques in El Cairo, the author questions the consideration of social agency as a synonym of resistance to domination relations, which prevents the study of movements as the one she studies. She offers a conceptualization of agency as capacity of action that is habilitated and created inside specific historical relations of subordination.Este texto fue originalmente publicado por Saba Mahmood en la revista Cultural Anthropology en el volumen 16, número 2, del año 2001 con el título: «Feminist Theory, Embodiment, and the Docile Agent: Some Reflections on the Egyptian Islamic Revival». En el año 2008, el texto fue publicado en castellano en un libro editado por Liliana Suárez Navaz y Rosalva Aída Hérnandez Castillo en Cátedra: Descolonizando el feminismo: teorías y prácticas desde los márgenes. En él, la autora recientemente fallecida, aborda un debate central en la teoría feminista, la agencia social. A través del análisis del movimiento de la piedad en el Egipto de los años 90 y concretamente del estudio de cinco mezquitas en El Cairo, Mahmood cuestiona que se considere la agencia social como un sinónimo de resistencia a las relaciones de dominación, lo que impide el estudio de movimientos como el que ella estudia, y aboga por una concepción de la agencia como capacidad de acción que se habilita y crea en relaciones de subordinación históricamente específicas
Using 3D pose analysis of natural behavior in spinal cord injured mice for enhanced and reliable assessment of functional recovery
No full textPresented at the annual Celebration of Undergraduate Research and Creative Activity while the author was an undergraduate student at Rutgers University-Camden
Generic behaviour of a measure preserving transformation
No full textSubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Mahmood Etedadialiabadi, accepted the attached license on 2017-12-07 at 02:55.The student, Mahmood Etedadialiabadi, submitted this Dissertation for approval on 2017-12-07 at 10:24.This Dissertation was approved for publication on 2017-12-08 at 07:49.DSpace SAF Submission Ingestion Package generated from Vireo submission #11894 on 2018-03-13 at 09:57:35Made available in DSpace on 2018-03-13T15:25:33Z (GMT). No. of bitstreams: 3
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Previous issue date: 2017-12-08Embargo set by: Seth Robbins for item 105210
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105210 on 2020-03-14T09:15:16Z
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