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Changes in the Association between GDP and Night-Time Lights during the COVID-19 Pandemic: A Subnational-Level Analysis for the US

Taohan Lin, Nataliya Rybnikova • Geomatics (2023)

Night-time light (NTL) data have been widely used as a remote proxy for the economic performance of regions. The use of these data is more advantageous than the traditional census approach is due to its timeliness, low cost, and comparabili...

DOAJ Open Access (DOAJ) DOI: 10.3390/geomatics3010008

Le risque tsunamique au Maroc : modélisation et évaluation au moyen d'un premier jeu d'indicateurs d'exposition du littoral atlantique

Samira Mellas, Frédéric Leone, Rachid Omira, Monique Gherardi et al. • Physio-Géo (2012)

This paper seeks to estimate the exposure of the Atlantic coast of Morocco to tsunami risk. A methodological approach and a first set of tsunami risk indicators are presented. The proposed approach is based upon a coupling of tsunami numeri...

DOAJ Open Access (DOAJ) DOI: 10.4000/physio-geo.2589

Near infrared spectroscopy predicts crude protein concentration in hemp grain

Ryan V. Crawford, Jamie L. Crawford, Julie L. Hansen, Lawrence B. Smart et al. • Agrosystems, Geosciences & Environment (2026)

Abstract This study evaluated near‐infrared spectroscopy (NIRS) for nondestructive crude protein (CP) prediction in hemp (Cannabis sativa L.) grain and validated the biological basis of spectral predictions. Note that 149 whole grain sample...

DOAJ Open Access (DOAJ) DOI: 10.1002/agg2.70328

VirtualToxLab™ - In silico prediction of the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. Two years and 2,000 compounds of experience: a progress report

Angelo Vedani, Martin Smiesko, Morena Spreafico, Ourania Peristera et al. • ALTEX: Alternatives to Animal Experimentation (2009)

The VirtualToxLab™ is an in silico tool for predicting the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. It is based on a fully automated protocol and calculates the binding affinity of any molecule of int...

DOAJ Open Access (DOAJ) DOI: 10.14573/altex.2009.3.167

Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model

K. Kurosawa, K. Kurosawa, S. Kotsuki, S. Kotsuki et al. • Nonlinear Processes in Geophysics (2023)

This study explores coupled land–atmosphere data assimilation (DA) for improving weather and hydrological forecasts by assimilating soil moisture (SM) data. This study integrates a land DA component into a global atmospheric DA system of th...

DOAJ Open Access (DOAJ) DOI: 10.5194/npg-30-457-2023

Multi-step prediction in linearized latent state spaces for representation learning

Andrii Tytarenko • Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï (2022)

In this paper, we derive a novel method as a generalization over LCEs such as E2C. The method develops the idea of learning a locally linear state space by adding a multi-step prediction, thus allowing for more explicit control over the cur...

DOAJ Open Access (DOAJ) DOI: 10.20535/SRIT.2308-8893.2022.3.09

Mathematical modeling of the COVID-19 pandemic with intervention strategies

Subhas Khajanchi, Kankan Sarkar, Jayanta Mondal, Kottakkaran Sooppy Nisar et al. • Results in Physics (2021)

Mathematical modeling plays an important role to better understand the disease dynamics and designing strategies to manage quickly spreading infectious diseases in lack of an effective vaccine or specific antivirals. During this period, for...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rinp.2021.104285

Mathematics self-efficacy and mathematics performances: The need for specificity of assessment.

Frank Pajares, M. David Miller • Journal of Counseling Psychology (1995)

In this study, 391 students were asked to provide 3 types of mathematics self-efficacy judgments: confidence to solve mathematics problems, confidence to succeed in math-related courses, and confidence to perform math-related tasks. Criteri...

OPENALEX DOI: https://doi.org/10.1037//0022-0167.42.2.190

Mathematical Models in Biology

Leah Edelstein‐Keshet • Society for Industrial and Applied Mathematics eBooks (2005)

Life scientists are not always fully aware of the powerful role that mathematical models have in both answering biological research questions and in making predictions. Scientists have a clear view of the problem; they know the questions; t...

OPENALEX DOI: https://doi.org/10.1137/1.9780898719147

Changing Movements in a Changing World: Modelling Early Pleistocene and Early Middle Pleistocene Climatic and Ecological Environments and Influences on Hominin Dispersal in Eurasia

Kamilla L. Lomborg, Carolina Cucart-Mora, Jan-Olaf Reschke, Christine Hertler et al. • Journal of Computer Applications in Archaeology (2026)

In a world of drastic climatic and ecological changes, our knowledge of how the environment influenced hominin behaviour is of the utmost importance. Archaeology plays a key role in this domain, as it is the only discipline that studies emp...

DOAJ Open Access (DOAJ) DOI: 10.5334/jcaa.212

Satellite-derived prediction on habitat modelling of skipjack tuna (Katsuwonus pelamis) in the Makassar Strait, Indonesia

Mega L. Syamsuddin, Subiyanto Subiyanto, Tonny Bratasena, Fadli Syamsudin et al. • Geocarto International (2024)

The Makassar Strait is one of the Indonesian Throughflow (ITF) branches that transports warm water masses from the Pacific Ocean to the Indian Ocean. These water masses have a significant impact on oceanographic parameters, which in turn af...

DOAJ Open Access (DOAJ) DOI: 10.1080/10106049.2024.2408281

Adopting AI Enhances Humanitarian Operations While Demanding Critical Trade-Offs

Caroline Grangier, Munzer Alkhalil, Aula Abbara • Avicenna Journal of Medicine (2026)

Artificial intelligence (AI) is increasingly impacting the cooperation sector, transforming how humanitarians are operating in the field. AI tools now allow for improved health diagnostics and quality services. In conflict areas, organizati...

DOAJ Open Access (DOAJ) DOI: 10.1055/s-0046-1822817

A Personalized Gait Parameter Prediction-Based Speed-Adaptive Control Method for Hybrid Active-Passive Intelligent Prosthetic Knee

Xiaoming Wang, Yuanhua Li, Hui Li, Shengli Luo et al. • Biomimetics (2026)

To address the limitations of current prosthetic knees that lack personalized adaptability to users’ gait characteristics and walking speeds, this study proposes a personalized gait parameter prediction–based speed-adaptive control method f...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomimetics11020136

Healthy lifestyle attenuates the clonal hematopoiesis-associated coronary artery disease risk

Yuxin Yang, Xuxiang Shen, Keyong Huang, Hongwei Liu et al. • Fundamental Research (2026)

Lifestyle factors and clonal hematopoiesis of indeterminate potential (CHIP) both contribute to the risk of developing coronary artery disease (CAD), but whether a healthy lifestyle could attenuate CHIP-related CAD risk is unknown. A total ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.fmre.2025.09.012

A Prospective, Randomized Trial Comparing Hydromorphone and Nalbuphine for Postcesarean Patient-Controlled Analgesia and Developing a Risk Prediction Model for Inadequate Analgesia

Zhang K, Sun J, Zhang C, Jiao B et al. • Drug Design, Development and Therapy (2025)

Kaiwen Zhang,1,* Jiaoli Sun,1,* Caixia Zhang,2 Bo Jiao,1 Wencui Zhang,1 Shangchen Yu,1 Xueqin Cao,1 Zhiqiang Zhou,1 Guanglei Zhang,1 Xianwei Zhang1 1Department of Anesthesiology and Pain Medicine,Hubei Key Laboratory of Geri...

DOAJ Open Access (DOAJ)

Molecular Informatics, Chemometrics, and Sensory Omics for Constructing an Umami Peptide Cluster Library Across the Entire Lager Beer Brewing Process

Yashuai Wu, Ruiyang Yin, Wenjing Tian, Wanqiu Zhao et al. • Foods (2026)

Umami taste in lager beer not only determined body fullness and the backbone of aftertaste, but also affected the controllability and interpretability of flavor expression across the entire brewing process. Based on stage-wise sampling, pep...

DOAJ Open Access (DOAJ) DOI: 10.3390/foods15040641