119 research outputs found
Toxicological profile for boron (update)
No full textChemical manager(s)/author(s): Malcolm Williams, DVM, Ph.D., Moiz Mumtaz, Ph.D., Mike Fay, Ph.D., Franco Scinicariello, M.D. Kim Jenkins, ATSDR, Division of Toxicology and Environmental Medicine, Atlanta, GA; Mike Lumpkin, Ph.D. ,Lara Chappell, Ph.D., Peter R. McClure, Ph.D., DABT Syracuse Research Corporation, North Syracuse, NY" - P. ix."Draft for public comment (update), comment period ends: February 22, 2008"--Cover.Includes bibliographical references (p. 163-191) and index.U.S. Department of Health and Human Services, Public Health Service, Agency for Toxic Substances and Disease Registry
Sistem Rapor Online di Madrasah Tsanawiyah Al Mumtaz Berbasis Web
No full textThe rapid advancement of information technology has encouraged companies and institutions to enhance data management more effectively and efficiently to support productivity. The online report card system at MTs Al Mumtaz is designed to manage student grades digitally. Currently, grade processing at MTs Al Mumtaz is still done manually using Microsoft Excel, without a specialized application. With a web-based system, it is expected that grade management will improve, allowing students and parents easy access to grades, while also simplifying data entry for teachers, making the process more efficient. This research uses the Waterfall method, with UML, PHP, MySQL, and the CodeIgniter (CI) framework as tools. The results show that the developed online report card system can enhance efficiency in grade management, reduce the risk of data entry errors, and speed up delivering grade information to students and parents. Additionally, the system facilitates teachers in managing grades, both in terms of data entry and final grade processing. The author recommends further development of this system, with additional features such as automatic notifications and mobile application integration, making user access easier and the report card system more optimized
Methyl t-butyl ether
No full text"This toxicological profile is prepared in accordance with guidelines developed by the Agency for Toxic Substances and Disease Registry (ATSDR) and the Environmental Protection Agency (EPA)"--P. v.prepared by Research Triangle Institute under contract no. 205-93-0606 ; prepared for U.S. Department of Health and Human Services, Public Health Service, Agency for Toxic Substances and Disease Registry."August 1996."Chemical manager(s)/author(s): Moiz Mumtaz, Sharon Wilbur.Includes bibliographical references (p. 203-219).19961105
Toxicological profile for radon
Get PDFA Toxicological Profile for Radon, Draft for Public Comment was released in September 2008. This edition supersedes any previously released draft or final profile.Includes bibliographical references (p. 165-204).Title from title screen (viewed on Nov. 27, 2012).Chemical manager(s)/author(s): Sam Keith, John R. Doyle, Carolyn Harper, Moiz Mumtaz, Oscar Tarrago, ATSDR, Division of Toxicology and Human Health Sciences (proposed), Atlanta, Georgia; David W. Wohlers, Gary L. Diamond, Mario Citra, Lynn E. Barber, SRC, Inc North Syracuse, NY
Toxicological profile for endosulfan
Get PDFPublic comment period ends: September 30, 2013A Toxicological Profile for Endosulfan was released in 2000. This present edition supersedes any previously released draft or final profile.Chemical manager(s)/author(s): Jessilynn Taylor, Hana R. Pohl, Moiz Mumtaz, Patricia Ruiz, ATSDR, Division of Toxicology and Human Health Sciences, Atlanta, GA; Fernando Llados, Catherine Rudisill, Mario Citra, SRC, Inc., North Syracuse, NY.2013CURRENT1175
Kinetics and mechanism of rhenium-ethylenediaminetetraacetic acid (Re(IV)-EDTA) complex degradation; For 99Tc-EDTA degradation in the natural environment
No full text© 2022 The Author(s)Mechanism and kinetics of Rhenium complexes as a surrogate of Technetium-99 (99Tc) is worthy of study from radioactive waste safe disposal perspective. Re(IV)-EDTA was synthesized via the reduction of Re(VII) with Sn(II) in the presence of Ethylenediaminetetraacetic acid (EDTA). The Re(IV)-EDTA was then degraded by H2O2 (7%–30%) at pH of 3–11 in ionic strength I = 0–2 M solution. The Re-EDTA was observed to degrade more rapidly at pH of ≤ 3–4 than one of ≥ 10–11 and remained stable at pH = 7–9. The Re-EDTA was degraded in accordance with the H+ addition mechanism in the acidic range and ligand charge transfer in the alkaline region. Complex degradation followed the zero-order rate kinetics for the H+ and Re-EDTA parameters, apart from a pH of 3, for which degradation was a better fit to first order kinetics. A higher Re(IV)-EDTA stability at a pH of 7–9 demonstrated that Re(IV)-EDTA (or 99Tc(IV)-EDTA) tends to be more persistent in natural environments similar to the pH range of 7–9.11Nsciescopu
Machine learning and data analytics for multilayer data in policy planning
Get PDF“Does bigger data lead to better decisions?” has been a frequent question for discussion among many decision makers—data scientists as well as organizational leaders and managers. Educational institutions, finance, and the retail industry have had big data for several decades that did not significantly alter decision making as it is doing today, as most of the decisions made were driven more by either small-scale studies or a desire to support a group’s belief or interests. However, the advent of computational mechanisms changed the notion of what big data analysis is (Evgeniou, Gaba, & Niessing, 2013). Linking these methods to diverse related data is proving to be a game changer for big data analysis; for example, connecting sales figures to customer behavior is leading to better business decisions. By extending this research into the education domain, data sources at multiple levels in education can be combined to connect the big picture by analyzing and connecting data at higher macro levels to lower levels. The main purpose of this study is to present a framework for analyzing macro data with multiple data types in education for effective policy planning by linking data analysis at multiple macro levels (district and school levels) and extend it demonstrate a proof of concept of connecting to micro levels. Achieving this task required the following steps:
1. Use an unsupervised approach in big data techniques to analyze data at school level and district levels.
2. Develop a supervised classification system to use clusters from step 1 as classes so that changes in school data are constantly reassessed and assigned to new classes.
3. Identify frequent patterns and association rules of various attributes at the school level.
4. Perform a regression analysis on results from the macro level to investigate deeper with additional variables to identify the differences and verify the frequent patterns and association rules.
5. Develop a simulated analysis of student-level performance data to identify similarity and dissimilarity patterns using collaborative models that gain insights into collective intelligence in a recommender system format, which teachers can use to find optimal measures to improve a student’s learning.
These steps, put together into an analytical system, can handle large volumes of data and give insights for developing effective macro and micro policies. The results indicate that applying machine learning and data mining models enable extracting more insights at a macro policy planning levelSubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-05-01The student, Mumtaz Vauhkonen, accepted the attached license on 2017-04-20 at 02:23.The student, Mumtaz Vauhkonen, submitted this Dissertation for approval on 2017-04-20 at 02:50.This Dissertation was approved for publication on 2017-04-21 at 09:56.DSpace SAF Submission Ingestion Package generated from Vireo submission #10924 on 2017-08-10 at 15:06:30Made available in DSpace on 2017-08-10T20:33:14Z (GMT). No. of bitstreams: 4
VAUHKONEN-DISSERTATION-2017.pdf: 2287878 bytes, checksum: 4118a257556c692dab24c6c77d94b262 (MD5)
MumtazVauhkonenThesis.docx: 2659419 bytes, checksum: 1ec7218a3dd32a4568bb38e5697f540e (MD5)
LICENSE.txt: 4213 bytes, checksum: ab0bcd84f0696efdb135aeebc9d3e0b3 (MD5)
PROQUEST_LICENSE.txt: 4559 bytes, checksum: 0f691a0ddadb0093dc177639e8ea6bed (MD5)
Previous issue date: 2017-04-21Embargo set by: Colleen Fallaw for item 102803
Lift date: 2019-08-10T21:27:21Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 102803 on 2019-08-11T09:15:28Z
Toxicological profile for acrylamide
Get PDFA Toxicological Profile for Acrylamide Draft for Public Comment was released in September, 2009. This edition supersedes any previously released draft or final profile. Toxicological profiles are revised and republished as necessary.This toxicological profile is prepared in accordance with guidelines developed by the Agency for Toxic Substances and Disease Registry (ATSDR) and the Environmental Protection Agency (EPA). The original guidelines were published in the Federal Register on April 17, 1987. Each profile will be revised and republished as necessary. The ATSDR toxicological profile succinctly characterizes the toxicologic and adverse health effects information for the toxic substances each profile describes. Each peer-reviewed profile identifies and reviews the key literature that describes a substance's toxicologic properties. Other pertinent literature is also presented but is described in less detail than the key studies. The profile is not intended to be an exhaustive document; however, more comprehensive sources of specialty information are referenced. The profiles focus on health and toxicologic information; therefore, each toxicological profile begins with a public health statement that describes, in nontechnical language, a substance's relevant toxicological properties. Following the public health statement is information concerning levels of significant human exposure and, where known, significant health effects. A health effects summary describes the adequacy of information to determine a substance's health effects. ATSDR identifies data needs that are significant to protection of public health.CAS#: 79-06-1Chemical manager(s)/author(s): Patricia Ruiz, Obaid Faroon, Moiz Mumtaz, ATSDR, Division of Toxicology and Human Health Sciences, Atlanta, GA; David W. Wohlers, Gary L. Diamond, Lynn E. Barber, Peter R. McClure, DABT SRC, Inc., North Syracuse, NYAgency for Toxic Substances and Disease Registry (ATSDR). 2012. Toxicological profile for Acrylamide. Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service.2012CurrentOther1175
Boron
Get PDFChemical manager(s)/author(s): Malcolm Williams, Moiz Mumtaz, Mike Fay, Franco Scinicariello, Kim Jenkins, ATSDR, Division of Toxicology and Environmental Medicine, Atlanta, GA; Mike Lumpkin, Lara Chappell, Peter R. McClure, SRC, Inc., North Syracuse, NY.Includes bibliographical references (p. 173-190) and index.201
Phoenix Dactylifera L: a bibliometric study of the literature on date palm
No full textThis study carried out a bibliometric analysis of the literature on Phoenix Dactylifera L (date palm). The purpose was to study the periodic growth of literature, author patterns, topical focus, language dispersal, and geographic origin of literature on dates. All related databases and several online catalogues of libraries were searched to identify a final list of 2,465 citations. This data set was
analyzed using various bibliographic characteristics. The volume of literature on date palm started increasing from less than one publication per year before 1970 to 80+ papers annually during the 1990s. Most of this literature comes from Agriculture, Biological Sciences, and Chemistry. A small core of authors contributed about one-third of the citations. Four-fifths of the citations are the result of collaborative work. About two-fifths of the papers are published by only 36 journals. Iraq and Egypt are the leading contributors to this literature. English is the most predominant language. The findings of this study will be of benefit to scholars in several disciplines. By identifying various patterns in the literature, it will create awareness among concerned scholars regarding the core authors, core
journals that publish this literature, areas where more research is being conducted, and areas where more research needs to be done. It should also encourage researchers to initiate collaborative and inter-disciplinary research
- …
