Public Health Research Documents

Public Health Research
Circuits for Integer Factorization Proposal
This document presents a proposal by Daniel J. Bernstein discussing circuits for integer factorization. It covers advancements in algorithms and provides detailed analysis for computational efficiency. Ideal for researchers and practitioners in computational number theory.

Public Health Research
User Manual for Coping Strategies Inventory Short Form
This user manual provides a comprehensive overview of the Coping Strategies Inventory Short Form (CSI-SF), detailing its structure, reliability, and validity. It's designed for researchers and practitioners interested in coping strategies, especially in African American communities. The manual also outlines how to effectively utilize the CSI-SF for research and clinical purposes.

Public Health Research
Using REDCap for e-Consent Guidelines
This file provides detailed guidelines for using REDCap for electronic consent processes. It highlights regulatory considerations and best practices. Ideal for researchers and administrative professionals involved in e-consent.

Public Health Research
Collaborators and Other Affiliations COA Template
This template provides guidance for compiling Collaborators and Other Affiliations (COA) information for NSF proposals. It outlines required fields and FAQs to assist senior project personnel. Users can find detailed instructions on filling out and submitting the form.

Public Health Research
Assent Form Guidelines and Sample
This file provides comprehensive guidelines on creating assent forms for research studies including who needs to assent and what should be included. It also includes a sample assent form for reference.

Public Health Research
Fighting Fake News Workshop Report
This report details the findings from the Fighting Fake News workshop held on March 7, 2017. It explores the challenges of defining fake news and potential solutions. The document serves as a foundation for interdisciplinary discussions on misinformation.

Public Health Research
Predictive Models of Form Filling Research Paper
This file presents research on predictive models for form filling, aiming to reduce time spent on filling forms. It introduces the Collaborative and Contextually Frequently Used model and demonstrates its performance advantage. The paper also compares different models and evaluates them using real-world data.

Public Health Research
Community Geography: Principles, Projects, and Implementation
This document outlines the principles, projects, and challenges in implementing community geography. It provides a framework for research programs and offers guidance for researchers and community partners. The paper serves as a fundamental guide for academic researchers.

Public Health Research
Impact of Online Digital Piracy on the Indian Film Industry
This file investigates the causes and impacts of online digital piracy on the Indian film industry. It evaluates the current legal regime in India governing online piracy, based on an empirical study of consumer behavior. The study aims to understand the efficiency of the legal framework and suggest improvements.

Public Health Research
Qualtrics Guide for University Research Projects
This file serves as a comprehensive guide for using Qualtrics in research projects at Middlesex University. It covers important aspects like participant consent and data collection methods. Suitable for both staff and students involved in research.

Public Health Research
Online Multitasking and User Engagement Studies
This research paper investigates the impact of online multitasking on user engagement metrics. It analyzes browsing data from millions of users to present insights on user behavior. Researchers will find valuable methodologies for studying user interactions across multiple sites.

Public Health Research
OnCore Electronic Case Report Forms eCRFs Overview
This file provides detailed instructions and benefits of using OnCore Electronic Case Report Forms (eCRFs). It outlines how these forms enhance data collection for researchers. Ideal for researchers using OnCore to streamline their data entry processes.