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Epidemiology: An introduction

Kenneth Jay Rothman (2016)

1. Introduction to Epidemiologic Thinking 2. Pioneers in Epidemiology and Public Health 3. What is Causation? 4. Measuring Disease Occurrence and Causal Effects 5. Types of Epidemiologic Studies 6. Infectious Disease Epidemiology 7. Dealing...

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Predictors of Five Days Mortality in Diabetic Ketoacidosis Patients: a Prospective Cohort Study

Suhendro Suwarto, Bambang Sutrisna, Sarwono Waspadji, Herdiman T Pohan • Acta Medica Indonesiana (2014)

Aim: to determine the role of serum lactate and diabetic ketoacidosis (DKA) severity as predictors for five-days mortality in DKA patients. Methods: a prospective cohort study was conducted in DKA patients admitted to emergency department (...

DOAJ Open Access (DOAJ)

Associations of carotid flow velocity with cerebral perfusion and cerebral small vessel disease: a community-based prospective study

Peipei Yang, Xiaoshuai Li, Yuqing Huang, Xinyu Zhao et al. • European Journal of Medical Research (2025)

Abstract Objectives To explore the associations of carotid artery hemodynamic parameters with cerebral perfusion and cerebral small vessel disease (CSVD) in a healthy population. Methods A total of 654 participants from the Kailuan communit...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40001-025-03238-3

Assessing PM2.5 pollution in the Northeastern United States from the 2023 Canadian wildfire smoke: an episodic study integrating air quality and health impact modeling with emissions and meteorological uncertainty analysis

Hao He, Timothy P Canty, Russell R Dickerson, Joel Dreessen et al. • Environmental Research Letters (2025)

Between June 6 and 8, 2023, wildfires in Quebec, Canada generated massive smoke plumes that traveled long distances and deteriorated air quality across the Northeastern United States (US). Surface daily PM _2.5 observations exceeded 100 µ g...

DOAJ Open Access (DOAJ) DOI: 10.1088/1748-9326/ae10c9

Trends in cervical cancer incidence and mortality in the United States, 1975–2018: a population-based study

Xianying Cheng, Ping Wang, Li Cheng, Feng Zhao et al. • Frontiers in Medicine (2025)

BackgroundCervical cancer incidence and mortality rates in the United States have substantially declined over recent decades, primarily driven by reductions in squamous cell carcinoma cases. However, the trend in recent years remains unclea...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2025.1579446

First seroprevalence survey of bovine anaplasmosis: an emerging tick-borne disease in commercial livestock and dairy farms in Bangladesh

Md. Makshuder Rahman Zim, Nurnabi Ahmed, Mostak Ahmed, Md. Abu Haris Miah et al. • Parasitology (2024)

Bovine anaplasmosis is an infectious, tick-borne disease caused by Anaplasma species, which is accountable for huge economic loss in dairy industry. This study was aimed to determine the seroprevalence of bovine anaplasmosis on randomly sel...

DOAJ Open Access (DOAJ) DOI: 10.1017/S0031182024001495

Metabolic perturbations underlying the associations of endocrine-disrupting chemical mixtures with muscle mass and strength in adults: A repeated-measures study

Kun Huang, Shuoshuo Hu, Yilin Zhou, Qingqing Cao et al. • Environmental Chemistry and Ecotoxicology (2025)

Introduction: Adult exposure to endocrine-disrupting chemicals (EDCs) may reduce muscle mass and strength; however, few studies considered EDC mixtures and their potential mechanisms. Objectives: We aimed to explore associations of EDC mixt...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.enceco.2025.08.019

Gender Differences in the Association Between Serum Uric Acid and Arteriosclerotic Cardiovascular Risk Among Chinese Type 2 Diabetes Mellitus Patients

Yang H, Gao J, Li S, Xia H et al. • International Journal of General Medicine (2021)

Hua Yang,1,* Jian Gao,2,* Shuyu Li,1 Huiling Xia,1 Zhangyan Chen,1 Shanzhu Zhu,1 Zhigang Pan1 1Department of General Practice, Zhongshan Hospital of Fudan University, Shanghai, 200030, People’s Republic of China; 2Department of Nutrit...

DOAJ Open Access (DOAJ)

Quality of life, psychological distress and violence among women in close relationships: a population-based study in Finland

Tomomi Hisasue, Marie Kruse, Jani Raitanen, Eija Paavilainen et al. • BMC Women's Health (2020)

Abstract Background The aim of this study was to examine associations between exposure to violence, quality of life, and psychological distress. Women aged 19–54 years who had been exposed to violence by someone in a close relationship were...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12905-020-00950-6

The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies.

Veronica J Vieland, Sang-Cheol Seok • PLoS ONE (2021)

In earlier work, we have developed and evaluated an alternative approach to the analysis of GWAS data, based on a statistic called the PPLD. More recently, motivated by a GWAS for genetic modifiers of the X-linked Mendelian disorder Duchenn...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0257164

Dentists’ perception and use of AI and robotics in the care of persons with disabilities

Najla A. Barnawi, Fay A. AlAmmar, Sultan A. Aldabeis, Salma M. Alahmar et al. • Scientific Reports (2025)

Abstract Despite the growing role of AI and robotics in healthcare, little is known about their integration into dental care for persons with disabilities (PWDs) in Saudi Arabia. This study aimed to assess dentists’ perceptions and attitude...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-10988-x

Statistical Inter-stimulus Interval Window Estimation for Transient Neuromodulation via Paired Mechanical and Brain Stimulation

Euisun Kim, Waiman Meinhold, Minoru Shinohara, Jun Ueda • Frontiers in Neurorobotics (2020)

For achieving motor recovery in individuals with sensorimotor deficits, augmented activation of the appropriate sensorimotor system, and facilitated induction of neural plasticity are essential. An emerging procedure that combines periphera...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbot.2020.00001

Fast‐Tracker 2.0: Improving autonomy of aerial tracking with active vision and human location regression

Neng Pan, Ruibin Zhang, Tiankai Yang, Can Cui et al. • IET Cyber-systems and Robotics (2021)

Abstract In recent years, several progressive studies promote the development of aerial tracking. One of the representative studies is our previous work Fast‐Tracker which is applicable to various challenging tracking scenarios. However, it...

DOAJ Open Access (DOAJ) DOI: 10.1049/csy2.12033

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari (2025)

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.59231/SARI7840

Weight Uncertainty in Neural Networks

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra • arXiv (Cornell University) (2015)

We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop. It regularises the weights by minimising a compression ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1505.05424

A neural network approach to ordinal regression

Jianlin Cheng, Zheng Wang, Gianluca Pollastri • International Joint Conference on Neural Networks (IJCNN) (2008)

Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a gen...

OPENALEX Open Access DOI: https://doi.org/10.1109/ijcnn.2008.4633963

Neural networks in ocean engineering

Pooja Jain, Makarand Chintamani Deo • Ships and Offshore Structures (2005)

The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...

OPENALEX DOI: https://doi.org/10.1533/saos.2004.0005

Hyperbolic Neural Networks

Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann • arXiv (Cornell University) (2018)

Hyperbolic spaces have recently gained momentum in the context of machine learning due to their high capacity and tree-likeliness properties. However, the representational power of hyperbolic geometry is not yet on par with Euclidean geomet...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1805.09112