Results 111 to 120 of about 3,661,284 (296)

Lie Algebraic Modeling of Vibrational Frequencies in Hexachlorobenzene: A Symmetry-Adapted Approach for the D₆ₕ Point Group

open access: yesEast European Journal of Physics
This work uses a symmetry-adapted Lie algebraic framework to study the vibrational frequencies of hexachlorobenzene (C₆Cl₆). A U(2)-based vibrational Hamiltonian captures the fundamental modes and the first and second overtones by exploiting the molecule'
D. Rajani, T. Sreenivas, J. Vijayasekhar
doaj   +1 more source

Competitive Equilibria in Semi-Algebraic Economies [PDF]

open access: yes
This paper examines the equilibrium correspondence in Arrow-Debreu exchange economies with semi-algebraic preferences. We show that a generic semi-algebraic exchange economy gives rise to a square system of polynomial equations with finitely many ...
Karl Schmedders, Felix Kuber
core  

MHD Maxwell Hybrid Nanofluid Transport Featuring Solar Radiation and Thermo‐Diffusive Impacts Over a Permeable Slanted Stretching Sheet

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy   +3 more
wiley   +1 more source

The $p$-Canonical Basis for Hecke Algebras

open access: yes, 2015
32 pages, many TikZ pictures, best viewed in colour and ...
Jensen, L., Williamson, G.
openaire   +3 more sources

Invariants and separating morphisms for algebraic group actions [PDF]

open access: yes, 2014
The first part of this paper is a refinement of Winkelmann’s work on invariant rings and quotients of algebraic groups actions an affine varieties where we take a more geometric point of view.
Kraft, Hanspeter   +5 more
core   +1 more source

Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo   +3 more
wiley   +1 more source

Organizational Citizenship Behavior and Gray Matter Volume Among Japanese Workers: An Exploratory Cross‐Sectional Study

open access: yesBrain Health, EarlyView.
ABSTRACT Introduction Organizational citizenship behavior (OCB) is generally considered beneficial to organizations, but extra‐role behavior may also impose costs on employees under some circumstances. Whether the workplace, personality, and neuroanatomical correlates of OCB differ between men and women remains unclear.
Keisuke Kokubun   +2 more
wiley   +1 more source

SHEFFER STROKE BE-ALGEBRAS BASED ON THE SOFT SET ENVIRONMENT [PDF]

open access: yesJournal of Algebraic Systems
In this paper, we handle the concept of Sheffer stroke BE-algebras within the framework of soft sets. We introduce the notion of Sheffer stroke BE-algebras based on the soft set environment, providing a novel perspective on their algebraic properties ...
Young Bae Jun   +3 more
doaj   +1 more source

Eco‐Innovation, Economic Complexity, and Sustainability: A Bibliometric and Systematic Literature Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study systematizes the literature on eco‐innovation and economic complexity, aiming to understand how the sophistication of productive structures shapes countries' capacity to develop environmentally responsible innovations, and how eco‐innovation may, in turn, influence productive sophistication.
Gregory Matheus Pereira de Moraes   +1 more
wiley   +1 more source

A MapReduce-based Adjoint method for preventing brain disease

open access: yesJournal of Big Data, 2018
In this paper, we present a statistical model performed on the basis of a patient dataset. This model predicts efficiently the brain disease risk. Multiple regression was used to build the statistical model.
Manal Zettam   +2 more
doaj   +1 more source

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