Results 141 to 150 of about 161,467 (336)

2D MOF with Intrinsic Porosity for Colorimetric Volatile Organic Compounds (VOCs) Detection

Advanced Materials, EarlyView.
An uncommon 2D MOF with intrinsic in‐plane porosity that can be mechanically exfoliated undergoes a distinct and reversible colour change upon exposure to various volatile organic compounds. ABSTRACT In this work, we report an uncommon 2D metal–organic framework (MOF) with intrinsic in‐plane porosity that undergoes a distinct and reversible colour ...
Sergio R. Gamarra, Alberto Fernández‐Alarcón, Joaquín Calbo, Enrique Ortí, Guillermo Mínguez Espallargas   +4 more
wiley   +1 more source

Estimating Technical Debt Through Changes Related to Code Smells in the Evolution of Software Projects

IEEE Access
Technical debt and code smells are related concepts used to describe the trade-offs and consequences of suboptimal coding practices. Leaving code smells in the code means that developers choose a quick solution instead of the optimal code, and this can ...
Jessada Wiriyakul, Twittie Senivongse
doaj   +1 more source

Mistletoe‐ and Mussel‐Inspired Fabrication of Hierarchically Structured Protein‐Cellulose Scaffolds From Biomolecular Condensates

Advanced Materials, EarlyView.
Merging materials processing tricks inspired by mussel and mistletoe fiber fabrication, solutions of cationic mussel byssus proteins were mixed with modified anionic nanocrystalline cellulose, producing distinctive core‐shell condensates. Simple processing of condensate suspensions using freeze‐drying produced hierarchically structured porous protein ...
Hamideh R. Alanagh, Seyed Mohammad Amin Ojagh, Arman Jafari, Xinyu Zhan, Tara Sprules, Alexandre Poulhazan, Houman Savoji, Adam G. Hendricks, Theo G.M. van de Ven, Matthew J. Harrington   +9 more
wiley   +1 more source

When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems

Empirical Software Engineering
Context. The adoption of Machine Learning (ML)--enabled systems is steadily increasing. Nevertheless, there is a shortage of ML-specific quality assurance approaches, possibly because of the limited knowledge of how quality-related concerns emerge and evolve in ML-enabled systems. Objective. We aim to investigate the emergence and evolution of specific
Recupito G., Giordano G., Ferrucci F., Di Nucci D., Palomba F.   +4 more
openaire   +3 more sources

Donor‐Substituted C(sp3)‐Bridged Phosphorus‐Heterotriangulenes as Blue Thermally Activated Delayed Fluorescence Emitters

Advanced Optical Materials, EarlyView.
The newly developed regioselective strategy for the para‐functionalization of C(sp3)‐bridged phosphorus‐centered heterotriangulene delivers a series of donor‐acceptor emitters exhibiting thermally activated delayed fluorescence. The carbazole‐substituted compounds feature a unique combination of high photoluminescence quantum yields up to 75%, deep ...
Maximilian Schöner, Angelina Jocic, Siegfried Harrer, Mahni Fatahi, Jonas Maurmann, Andrea Reule, Frank Rominger, Eli Zysman‐Colman, Milan Kivala   +8 more
wiley   +1 more source

Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method

Journal of Communications Software and Systems
The quality of source code is negatively impacted by code smells. Since the term "code smell" originated, numerous attempts have been made to comprehend it by identifying it using various techniques, such as metric-based, heuristic-based, optimization ...
Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth   +3 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
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, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Understanding Code Smell Detection Through Hyperparameter Optimization and Metric Correlation Analysis

IEEE Access
Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative evaluation of three search strategies: Grid Search, Random Search, and a ...
Marcela Mosquera, Rodolfo Bojorque, Pamela Flores   +2 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
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

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source