Results 81 to 90 of about 1,121,216 (274)
Modeling Portfolio Selection Under Intuitionistic Fuzzy Environments
Portfolio optimization is a multifaceted process aimed at achieving a balance between investors’ risk tolerance and expected returns. However, the inherent uncertainty and unpredictability of financial markets significantly hinder the attainment of this ...
Tusan Derya +2 more
doaj +1 more source
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
wiley +1 more source
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart +4 more
wiley +1 more source
MODELING TECHNICAL TRADE BARRIERS UNDER UNCERTAINTY [PDF]
As traditional forms of agricultural protection continue to decline, agricultural interests will likely seek alternative protection in the form of technical barriers.
Ker, Alan P.
core +1 more source
Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig +7 more
wiley +1 more source
Neutrosophic Type-III Sets for Multi-Layered Uncertainty Modeling in Quality Evaluation of University Ideological and Political Education [PDF]
This paper presents a new way to better understand and measure complicated situations where things aren't just true or false, but somewhere in between. It focuses on something called Type-3 Neutrosophic Sets, a method that helps us deal with uncertainty,
Hui Liu
doaj +1 more source
MODELING OF ECONOMIC UNCERTAINTY [PDF]
Representation and modeling of economic uncertainty is addressed by different modeling methods, namely stochastic variables and probabilities (including Monte Carlo simulation), interval analysis, and fuzzy numbers, in particular triple and quadruple esti-mates.
openaire +2 more sources
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A Neutrosophic Logic and Probability-Based Artificial Intelligence Model for Smart Elderly Care Services in Urban Ecosystems [PDF]
Smart elderly care services in urban communities often face challenges involving uncertainty, incomplete data, and conflicting information. Traditional logic and probability frameworks typically fail to manage these complexities adequately.
Xiaoqin Yang
doaj +1 more source
Early Quantitative Assessment of Non-Functional Requirements [PDF]
Non-functional requirements (NFRs) of software systems are a well known source of uncertainty in effort estimation. Yet, quantitatively approaching NFR early in a project is hard.
Daneva, M., Kassab, M., Ormandjieva, O.
core +2 more sources

