Results 101 to 110 of about 19,688 (261)
Taxonomy of inline code comment smells
AbstractCode comments play a vital role in source code comprehension and software maintainability. It is common for developers to write comments to explain a code snippet, and commenting code is generally considered a good practice in software engineering. However, low-quality comments can have a detrimental effect on software quality or be ineffective
Elgun Jabrayilzade +2 more
openaire +2 more sources
Single‐Particle FRET Probes Heterogeneity in the Ligand Shell of Colloidal Perovskite Quantum Dots
Single‐particle, single‐molecule Förster resonance energy transfer turns dye‐tagged ligands into nanorulers for the otherwise elusive organic shell of CsPbBr3 quantum dots. Distance variations within individual particles reveal pronounced local heterogeneity, while changes in the surrounding ligand chemistry shift the average dye–surface separation ...
Leon G. Feld +6 more
wiley +1 more source
Specification and Detection of LLM Code Smells
Accepted paper at ICSE NIER 2026 : https://conf.researchr.org/track/icse-2026/icse-2026 ...
Brahim Mahmoudi +4 more
openaire +3 more sources
A novel selective laser sintering and graphitization (SLSG) 3D printing technology enables unibody fabrication of compacted insulating structures and conductive circuits in fluidic‐integrated wearable electronics through adaptive photonic modulation.
Li Zhang, Wing Cheung Mak
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
(1) Background: LLM-generated code frequently contains code smells that degrade maintainability. Whether the generating model can effectively refactor its own output—self-refactoring—remains untested.
Dong Kwan Kim +2 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
Leveraging Code Language Models for Code Smells Detection
Improving software quality remains a major challenge in modern software engineering. Among the different techniques used to address this issue, code smell detection plays an important role, as code smells may negatively affect software maintainability ...
Soumia Zellagui +3 more
doaj +1 more source

