Academic Articles & Research Papers

Essentials of Epidemiology in Public Health

Review of: Essentials of Epidemiology in Public Health. Ann Aschengrau and George R. Seage III. Burlington, MA: Jones and Bartlett Learning, 2014, 534 pp., $111.95. ISBN: 978-1-284-02891-1...

Risk Communication and Public Health

Abstract Controversies about risks to public health regularly hit the news, whether about food safety, environmental issues, medical interventions, or ‘lifestyle’ risks such as drinking. To those trying to manage or regulate risks, public r...

IPLEMENTASI ALAT PERAGA EDUKATIF DALAM MENGEMBANGKAN SAINS ANAK

This study aims to determine the implementation of educational aids in developing children's science in elementary schools. The approach used in this research is a descriptive qualitative approach. This research is focused on the use of tea...

Evaluation of effective factors on theoretical classes’ attendance of dentistry students of Babol University of Medical Sciences

BACKGROUND AND OBJECTIVE: The characters and roles of teachers and demographic characteristics and attendance of students have special places in classroom. Students are interested to participate in classroom logically and manner of faculty ...

Graph neural networks for materials science and chemistry

Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials...

Immunology for physicists

The immune system is a complex system of cells and molecules that can provide us with a basic defense against pathogenic organisms. Like the nervous system, the immune system performs pattern recognition tasks, learns, and retains a memory ...

Basic Immunology

A knowledge of immunology is essential in developing ELISAs. Information about the specific system and similar systems already studied from the biochemical and immunological aspects is important to allow development of assays and to determi...

Development of Mathematics E-Comic to Facilitate the Mathematical Communication Ability

This study aims to develop a valid mathematics e-comic learning media for class VIII students on statistical material. The design of the e-comic mathematics learning media development using the PPE stage includes planning (planning), produc...

Embodied science and mixed reality: How gesture and motion capture affect physics education

Abstract A mixed design was created using text and game-like multimedia to instruct in the content of physics. The study assessed which variables predicted learning gains after a 1-h lesson on the electric field. The three manipulated varia...

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...

Transient Elastography and Video Recovery Narrative Access to Support Recovery From Alcohol Misuse: Development of a Novel Intervention for Use in Community Alcohol Treatment Services

BackgroundMortality from alcohol-related liver disease has risen significantly for 3 decades. Transient elastography (TE) is a noninvasive test providing a numerical marker of liver disease. Preliminary evidence suggests that TE can reduce ...

The influence of catch trials on the consolidation of motor memory in force field adaptation tasks

In computational neuroscience it is generally accepted that human motor memory contains neural representations of the physics of the musculoskeletal system and the objects in the environment. These representations are called internal models...

Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware

Abstract Quantum computing offers exciting opportunities for simulating complex quantum systems and optimizing large-scale combinatorial problems, but its practical use is limited by device noise and constrained connectivity. Designing quan...

DEVELOPMENT OF STEM-BASED DIGITAL POCKETBOOK ON SPLDV MATERIAL USING THE ADDIE MODEL: APPLICATION IN ONLINE LEARNING ENVIRONMENTS

This study aims to assess the feasibility, teacher and student responses, and effectiveness of the STEM-based digital pocketbook on the topic of Systems of Linear Equations in Two Variables (SPLDV). The subjects of this research were junior...

AI-supported virtual laboratory for flipped physics learning: effects on middle school students' achievement, motivation, and cognitive load.

Computational linguistics and discourse complexology: Paradigms and research methods

The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic ana...

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

Improving the trial efficiency of criminal cases with the assistance of artificial intelligence

Abstract This study explores the application of artificial intelligence (AI) in improving the trial efficiency of criminal cases. Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we appl...

Exploring language learning and corrective feedback in an eTandem project

Many studies about eTandem and language learning stem from learners in Western institutions of higher education. Unfortunately, there is a lack of research investigating the telecollaboration regarding language development between learners ...

Bias and Fairness in Natural Language Processing

Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...