[Post-submission revision] - 2026-09 Following a desk rejection from JBSD (concerns: depth of analysis, novelty, rationale clarity), the following additional analyses and fixes were made. Fixed Protein topology (Leu289 truncation): topology/topol_Protein_chain_A.itp was found to be missing 11 atoms (CD1/CD2 side chain...
Mahdieh Rojhan Genetics· Zenodo (CERN European Organi...· 0 citations
Preconditioning the skin with non-ablative laser energy represents a promising strategy to enhance tissue repair, yet its biological mechanisms remain incompletely defined. This study investigated whether pre-injury stimulation using a 755-nm picosecond Alexandrite laser (PSAL) equipped with a diffractive lens array (D...
Da-Sol Kim, Hyunjin Kim, Byunghyuk Lee et al.· Scientific Reports· 0 citations
[Post-submission revision] - 2026-09 Following a desk rejection from JBSD (concerns: depth of analysis, novelty, rationale clarity), the following additional analyses and fixes were made. Fixed Protein topology (Leu289 truncation): topology/topol_Protein_chain_A.itp was found to be missing 11 atoms (CD1/CD2 side chain...
Mahdieh Rojhan Genetics· Zenodo (CERN European Organi...· 0 citations
An investigation into the structural, electronic and reactive properties of a substituted piperidine scaffold were conducted using density functional theory (DFT) at the B3LYP/6-31 G(d) level of theory. Molecular geometry optimization established a stable equilibrium structure. Frontier molecular orbital (FMO) analysis...
G. Baskar, J. Veeramalini, J. Jebaraj· Asian Journal of Chemistry· 0 citations
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ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using leakage-free out-of-fold knowledge distillation. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold, verification utili...
Fang Lv, Hutao Jin, Qishuai Ma et al.· Zenodo (CERN European Organi...· 0 citations
This paper presents a novel approach to modeling phase transitions, specifically focusing on the emergence of control within complex systems. We introduce a dynamic resonance field that evolves in response to the system's state, generating feedback loops that influence the transition process. This mechanism allows for...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
In synonymous variants, the signal of pathogenicity is detectable as a local, signed thermodynamic perturbation of nearest-neighbor nucleotide stacking — orthogonal to protein-level predictors — that a two-feature interpretable model reproduces at the level of a dedicated deep classifier, and whose clarity increases wi...
Jose Antonio Vilar Sanchez· Zenodo (CERN European Organi...· 0 citations
A starch-degrading bacterial strain (KeR9) isolated from potato root tissues was identified through whole-genome sequencing using average nucleotide identity (ANI) and DNA-DNA hybridization (DDH) as Bacillus licheniformis . This strain with enzymatic production potential was then deposited in the Genbank project PRJNA1...
Imen Ben Slimene-Debez, Amani Ben Alaya, Dorra Gharbi et al.· Scientific Reports· 0 citations
This paper presents a novel approach to modeling phase transitions, specifically focusing on the emergence of control within complex systems. We introduce a dynamic resonance field that evolves in response to the system's state, generating feedback loops that influence the transition process. This mechanism allows for...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
In synonymous variants, the signal of pathogenicity is detectable as a local, signed thermodynamic perturbation of nearest-neighbor nucleotide stacking — orthogonal to protein-level predictors — that a two-feature interpretable model reproduces at the level of a dedicated deep classifier, and whose clarity increases wi...
Jose Antonio Vilar Sanchez· Zenodo (CERN European Organi...· 0 citations
Dynamical Topology Optimization (DTO) provides a framework for optimizing complex network topologies by iteratively refining connections based on emergent properties. This paper introduces a novel algorithm, termed 'Adaptive Topology Evolution', which integrates reinforcement learning and graph theory to achieve automa...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.