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Hybridization of Atomic Orbitals I03:24

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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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The Frost circle or the inscribed polygon method is a graphical method for determining the relative energies of π molecular orbitals (MOs) for planar, fully conjugated, and monocyclic compounds. This method was first described by A. A. Frost and Boris Musulin in 1953.
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Related Experiment Video

Updated: Jan 16, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
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Hybrid Cuckoo Search-Bees Algorithm with Memristive Chaotic Initialization for Cryptographically Strong S-Box

Sinem Akyol1

  • 1Software Engineering Department, Engineering Faculty, Firat University, 23319 Elazig, Turkey.

Biomimetics (Basel, Switzerland)
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hybrid Cuckoo Search-Bees Algorithm (CSBA) to generate highly nonlinear Substitution Boxes (s-boxes) for cryptographic systems. The CSBA method enhances encryption security by creating robust s-boxes with superior cryptographic properties.

Keywords:
Bees AlgorithmCuckoo Search AlgorithmMemristive chaotic mapSubstitution Boxes (s-boxes)chaotic mapsnonlinearity

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Area of Science:

  • Cryptography
  • Computer Science
  • Applied Mathematics

Background:

  • Substitution Boxes (s-boxes) are crucial for cryptographic system complexity and resilience.
  • Existing methods for s-box generation require optimization for enhanced nonlinear properties.

Purpose of the Study:

  • To propose a hybrid metaheuristic algorithm, Cuckoo Search-Bees Algorithm (CSBA), for generating s-boxes with strong cryptographic attributes.
  • To leverage a Memristive Lu chaotic map for high-diversity initial population generation.

Main Methods:

  • A hybrid evolutionary approach combining Cuckoo Search and Bees algorithms (CSBA).
  • Utilizing a four-dimensional Memristive Lu chaotic map for initial population generation.
  • Assessing s-box fitness using nonlinearity and optimizing with CSBA and the Bees algorithm.

Main Results:

  • The proposed CSBA algorithm demonstrates strong performance in generating s-boxes.
  • Achieved an average nonlinearity value of 109.75, indicating high success.
  • Evaluated performance using metrics such as SAC, nonlinearity, BIC-SAC, BIC-NL, maximum difference distribution, and linear uniformity (LU).

Conclusions:

  • The developed metaheuristic algorithms, particularly CSBA, are effective for generating robust and reliable s-boxes.
  • The CSBA approach shows superior performance compared to other metaheuristic methods for s-box generation.
  • This research contributes to enhancing the security of symmetric encryption algorithms through advanced s-box design.