Logitron: Perceptron-augmented classification model based on an extended logistic loss function [PDF]
arXiv, 2019 Classification is the most important process in data analysis. However, due to the inherent non-convex and non-smooth structure of the zero-one loss function of the classification model, various convex surrogate loss functions such as hinge loss, squared hinge loss, logistic loss, and exponential loss are introduced. These loss functions have been used
arxiv
Simulation model of the logistic distribution in a medical oxygen supply chain [PDF]
, 2005 Research activities on operations management in the last years are always more dedicated to supply chain and logistics optimization models. The study belongs to this branch and describes the problems related to a re-configuration of the distribution net ...
COSTANTINO, francesco +2 more
core +1 more source
Home‐Based Tele‐tDCS in Amyotrophic Lateral Sclerosis: Feasibility, Safety, and Preliminary Efficacy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with limited treatment options. Transcranial direct current stimulation (tDCS) shows promise as a neuromodulatory intervention in various neurological disorders, but its application in ALS, particularly in a remote, home‐based format, remains underexplored.
Sangeetha Madhavan +6 more
wiley +1 more source
Logistic Growth Described by Birth-Death and Diffusion Processes
Mathematics, 2019 We consider the logistic growth model and analyze its relevant properties, such as the limits, the monotony, the concavity, the inflection point, the maximum specific growth rate, the lag time, and the threshold crossing time problem.
Antonio Di Crescenzo, Paola Paraggio
doaj +1 more source
CSF Tau Is a Biomarker of Hippocampal Injury in Cryptogenic New‐Onset Refractory Status Epilepticus
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cryptogenic new‐onset refractory status epilepticus (cNORSE) is a devastating condition characterized by the de novo onset of status epilepticus with unclear etiology. The identification of relevant early biomarkers in cNORSE is important to elucidate pathophysiology, aid clinical decision‐making, and prognosticate outcomes in cNORSE.
Yihui Goh +8 more
wiley +1 more source
Finding Oasis Cold Island Footprints Based on a Logistic Model—A Case Study in the Ejina Oasis
Remote SensingOases play a crucial role in arid regions within the human–environmental system, holding significant ecological and biological importance. The Oasis Cold Island Effect (OCIE) represents a distinct climatic feature of oases and serves as a vital metric ...
Wentong Wu, Rensheng Chen
doaj +1 more source
STATISTICAL THEORY FOR LOGISTIC MENTAL TEST MODELS WITH A PRIOR DISTRIBUTION OF ABILITY [PDF]
, 1967 Allan Birnbaum
openalex +1 more source
Occurrence, Risk Factors, and Prognosis of Acute Cerebral Microinfarcts in CADASIL
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common monogenic cerebral small vessel disease in adults. This study investigates the occurrence, risk factors, and prognosis of acute cerebral microinfarcts (ACMIs) in patients with CADASIL.
Xuejiao Men +11 more
wiley +1 more source
A Semantic Link Network Model for Supporting Traceability of Logistics on Blockchain [PDF]
arXivThe ability of tracing states of logistic transportations requires an efficient storage and retrieval of the state of logistic transportations and locations of logistic objects. However, the restriction of sharing states and locations of logistic objects across organizations from different countries makes it hard to deploy a centralized database for ...
arxiv
Logistic Surplus-Production Model with Explicit Terms for Growth, Mortality, and Recruitment [PDF]
, 1984 A. L. Jensen
openalex +1 more source