[图书][B] Melatoninergic system in the skin
Melatonin production is highly conserved in nature through different species including
bacteria, unicellular eukaryotes, algae, plants invertebrates, and vertebrates (Hardeland et …
bacteria, unicellular eukaryotes, algae, plants invertebrates, and vertebrates (Hardeland et …
Emerging biomarkers, tools, and treatments for diabetic polyneuropathy
GJ Bönhof, C Herder, A Strom, N Papanas… - Endocrine …, 2019 - academic.oup.com
Diabetic neuropathy, with its major clinical sequels, notably neuropathic pain, foot ulcers,
and autonomic dysfunction, is associated with substantial morbidity, increased risk of …
and autonomic dysfunction, is associated with substantial morbidity, increased risk of …
Small fibre neuropathy
G Lauria, ISJ Merkies, CG Faber - Current opinion in neurology, 2012 - journals.lww.com
SFN represents a distinct condition encountered in patients with different acquired and
genetic disorders. The recent improved definition of clinical and skin biopsy criteria allows …
genetic disorders. The recent improved definition of clinical and skin biopsy criteria allows …
Learning the parameters of determinantal point process kernels
Determinantal point processes (DPPs) are well-suited for modeling repulsion and have
proven useful in applications where diversity is desired. While DPPs have many appealing …
proven useful in applications where diversity is desired. While DPPs have many appealing …
Exploring associations between prenatal exposure to multiple endocrine disruptors and birth weight with exposure continuum mapping
Background Improved understanding of how prenatal exposure to environmental mixtures
influences birth weight or other adverse outcomes is essential in protecting child health …
influences birth weight or other adverse outcomes is essential in protecting child health …
Generalizations of Matérn's hard-core point processes
J Teichmann, F Ballani, KG van den Boogaart - Spatial Statistics, 2013 - Elsevier
Matérn's hard-core processes are valuable point process models in spatial statistics. In order
to extend their field of application, Matérn's original models are generalized here, both as …
to extend their field of application, Matérn's original models are generalized here, both as …
Approximate inference in continuous determinantal processes
Determinantal point processes (DPPs) are random point processes well-suited for modeling
repulsion. In machine learning, the focus of DPP-based models has been on diverse subset …
repulsion. In machine learning, the focus of DPP-based models has been on diverse subset …
Multiple Monte Carlo testing, with applications in spatial point processes
The rank envelope test (Myllymäki et al. in JR Stat Soc B, doi: 10.1111/rssb. 12172, 2016) is
proposed as a solution to the multiple testing problem for Monte Carlo tests. Three different …
proposed as a solution to the multiple testing problem for Monte Carlo tests. Three different …
Discovering early diabetic neuropathy from epidermal nerve fiber patterns
Epidermal nerve fibre (ENF) density and morphology are used to study small fibre
involvement in diabetic, HIV, chemotherapy induced and other neuropathies. ENF density …
involvement in diabetic, HIV, chemotherapy induced and other neuropathies. ENF density …
Inference for determinantal point processes without spectral knowledge
R Bardenet, TRC AUEB - Advances in neural information …, 2015 - proceedings.neurips.cc
Determinantal point processes (DPPs) are point process models thatnaturally encode
diversity between the points of agiven realization, through a positive definite kernel $ K …
diversity between the points of agiven realization, through a positive definite kernel $ K …