Traditionally, clinicians have used their experience and intuition to diagnose and treat disease states, including neurological disorders. However, the rapid increase in basic knowledge, coupled with a realization that human judgments are often flawed, has made it helpful to approach many clinical disorders by casting them in the form of models (quantitative hypotheses) that can be tested experimentally; in this way the power of the scientific method can be applied. This is especially the case in systems neuroscience, in which the experimental testing of mathematical models has proven an effective approach to understanding a range of clinical problems. Here, we focus on disorders of the neural control of eye movements, which offer many advantages to clinician scientists, providing examples of how thorny clinical mysteries became much clearer once they were formulated as models, and tested experimentally. Such an approach inevitably raises new questions and experimental tests and may suggest novel therapies.
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http://dx.doi.org/10.1016/bs.pbr.2018.11.001 | DOI Listing |
PLoS One
January 2025
School of Economics and Management, Northeastern Petroleum University, Daqing, China.
Energy and water are interlinked and inseparable resources of vital importance to the survival and development of human society. Exploring the relationship between energy and water is of great practical significance for the sustainable development of resources. The uneven regional distribution of energy and water in China has exacerbated energy-related water shortages.
View Article and Find Full Text PDFThis study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.
View Article and Find Full Text PDFPLoS One
January 2025
Violence and Society Centre, City St George's, University of London, London, United Kingdom.
Violence has been analysed in silo due to difficulties in accessing data and concerns for the safety of those exposed. While there is some literature on violence and its associations using individual datasets, analyses using combined sources of data are very limited. Ideally data from the same individuals would enable linkage and a longitudinal understanding of experiences of violence and their (health) impacts and consequences.
View Article and Find Full Text PDFPLoS One
January 2025
School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China.
Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Primate Behavioral Ecology, Institute of Biology, Leipzig University, Leipzig 04103, Germany.
Biological relatedness is a key consideration in studies of behavior, population structure, and trait evolution. Except for parent-offspring dyads, pedigrees capture relatedness imperfectly. The number and length of identical-by-descent DNA segments (IBD) yield the most precise relatedness estimates.
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