Results 121 to 130 of about 45,762 (323)

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

SecLLM: Enhancing Security Smell Detection in IaC With Large Language Models

IEEE Access
The emergence and expansion of Infrastructure-as-Code (IaC) paradigms have transformed cloud provisioning methodologies, while simultaneously introducing complex security smells.
Gabriele De Vito, Fabio Palomba, Filomena Ferrucci   +2 more
doaj   +1 more source

Amido‐Amine Co(II) Precursor‐Based Atomic/Molecular Layer Deposition Processes for Cobalt‐Organic Thin Films and Their Thermal Conversion to CoO Thin Films

Advanced Materials Technologies, EarlyView.
Three new atomic/molecular layer deposition processes are developed for Co‐organic thin films using a promising all‐nitrogen‐coordinated cobalt precursor. The study examines film growth, reaction mechanisms, chemical stability, and decomposition pathways of the resulting films through extensive characterization techniques and DFT calculations ...
Topias Jussila, Jorit Obenlüneschloß, Ji Liu, Olga Partanen, Sami Vasala, Detlef Rogalla, Pieter Glatzel, Michael Nolan, Anjana Devi, Maarit Karppinen   +9 more
wiley   +1 more source

Can Public Code Smells Datasets Be Trusted?

Journal of Communications Software and Systems
Code smells signal potential issues in a codebase andindicate technical debt. Early detection is crucial for maintaining code quality. Researchers often rely on public datasets to automate and enhance smell detection, but their trustworthiness is ...
Ruchin Gupta, Jitendra Kumar Seth, Anupama Sharma, Abhishek Goyal   +3 more
doaj   +1 more source

The nose and tongue as chemical detectors

, 2005
Human chemical senses are the gatekeepers of our digestive system. Chemical separation combined with human sensory perception has been used to isolate and identify a natural non-steroidal anti-inflammatory compound in olive oil.
Keast, Russell
core  

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

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

A study for method-level code smells detection using machine learning algorithms

Systems and Soft Computing
Motivation: Code smells reflect poor design decisions that degrade software quality and maintainability. Although several machine learning algorithms have been proposed to detect code smells, the impact of feature selection and cross-validation on ...
Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta   +3 more
doaj   +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

An Ontology-Enabled Approach for the Detection of Software Design Smells

IEEE Access
Software evolution and bad smells have been widely studied over past two decades, occurring at architecture, design, implementation, and requirement levels. Design smells, which result from poor software design or violations of best programming practices,
Sabiyyah Sabir, Ghulam Rasool, Tariq Umer, Naoufel Kraiem, Yunyoung Nam   +4 more
doaj   +1 more source