Results 41 to 50 of about 105,541 (300)

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

open access: yesFEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li   +8 more
wiley   +1 more source

Program Linier Fuzzy Penuh Dengan Metode Kumar [PDF]

open access: yes, 2014
Fully fuzzy linear programing is part of a crisp linear programming (linear programimg with a number of crisp) which the numbers used are fuzzy numbers. Solving a fully fuzzy linear programming problems by using Kumar method to fuzzy optimal solution and
Irawanto, B. (Bambang)   +1 more
core  

Design of supply chain in fuzzy environment [PDF]

open access: yes, 2013
Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply ...
Rao, Kandukuri Narayana   +2 more
core   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

An Adaptive Fuzzy Inference System Model to Analyze Fuzzy Regression with Quadratic Programming and Fuzzy Weights Incorporating Uncertainty in the Observed Data

open access: yesFuzzy Information and Engineering, 2023
To address the compounded uncertainty in the observed output data, we introduce a new method of fuzzy regression modeling which is based on quadratic programming and fuzzy weights, so that the objective function represents the quadratic error for all of ...
Mahdi Danesh   +3 more
doaj   +1 more source

Fuzzy Linear Programming – Foreign Exchange Market

open access: yes, 2011
Strategic asset management is concerned with a complex process that usually involves a variety decision making situations. But managers, decision makers, and experts dealing with optimization problems often have a lack of information on the exact values of some parameters and in the same time are unable to put into the model important aspects that ...
Petreska, Biljana R.   +2 more
openaire   +2 more sources

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

Revised Harmonious Fuzzy Technique for Solving Fully Fuzzy Multi-Objective Linear Fractional Programming Problems

open access: yesZanco Journal of Pure and Applied Sciences
    The revised harmonious fuzzy technique (RHFT) is a method used to solve fuzzy optimization problems. It was capitalized as an extension of the classical linear programming technique to handle constraints and objectives that are fuzzy. The harmonious
Maher A. Nawkhass
doaj   +1 more source

A new interactive approach for solving fully fuzzy mixed integer linear programming [PDF]

open access: yesYugoslav Journal of Operations Research, 2020
In this paper, a novel method to solve Fully Fuzzy Mixed Integer Linear Programming (FFMILP) problems is presented. Our method is based on the definition of membership function and a fuzzy interactive technique for solving the classical multiobjective ...
Khalili Goudarzi Farzaneh   +2 more
doaj   +1 more source

Metode Mehar Untuk Solusi Optimal Fuzzy Dan Analisa Sensitivitas Program Linier Dengan Variabel Fuzzy Bilangan Triangular [PDF]

open access: yes, 2016
. Fuzzy linear programming problems containing closely with uncertainty about the parameters. Changes in the value of the parameters without changing the optimal solution or change the optimal solution is called sensitivity analysis. Sensitivity analysis
Marlia Ulfa, Marlia Ulfa
core  

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