Code smell detector for Ruby

Test Smells for Android developers

Paprika is a powerfull toolkit to detect some code smells in analysed Android applications.

Code Smells plugin for SonarQube and companion Java library

A tool to detect test smells in Java projects that utilize JUnit as the testing framework

Allows weka to smell your code

Arduino based Coffee Machine Alarm

Predicting and Interpreting Smell Data Obtained from Smell Pittsburgh

Trying to make sense of our sense of smell.

A prominent clinical symptom of 2019-nCoV infection is hyposmia/anosmia (decrease or loss of sense of smell), along with general symptoms such as fatigue, shortness of breath, fever, and cough. The identity of the cell lineages that underpin infection associated with loss of olfaction could be critical for the diagnostics/clinical management of 2019-nCoV infected individuals. Angiotensin I Converting Enzyme 2 (ACE2), and Transmembrane protease serine 2 (TMPRSS2) are emerging as associated host receptors vital for viral entry. Accordingly, the ongoing medical examinations and the autopsy reports of the deceased individuals strongly corroborate with the organ/cell-type-specific expression of ACE2, TMPRSS2, and other putative viral entry-associated genes. To determine the cellular basis of anosmia upon 2019-nCoV infection, we employed a targeted bioinformatic analysis of single-cell expression profiles of human olfactory epithelium cell-types. Our results underscored selective expression of these viral entry-associated genes in a subset of sustentacular cells, Bowman’s gland cells, and stem cells of the olfactory epithelium. Co-expression analysis of ACE2 and TMPRSS2 and protein-protein interaction among the host and viral proteins elected regulatory cytoskeleton protein-enriched sustentacular cells as the most vulnerable cell-type of the olfactory epithelium. Furthermore, expression, structural and docking analyses of these viral-entry moieties revealed the potential risk of olfactory dysfunction in four additional mammalian species, revealing an evolutionarily conserved susceptibility. In summary, our findings suggest the molecular and cellular rationale of loss of smell in 2019-nCoV infected patients.

React data input and visualization example

BioEssence is an olfactory wearable display that monitors cardio-respiratory information. This work is an evolution of the previous "Essence" prototype. The current display delivers up to three scents simultaneously and provides a self-contained solution for physiological sensing. Therefore, the current device allows not only to provide a wider range of stimuli but also to comfortably monitor the physiology of the wearer throughout the process. Developed by Judith Amores, Javier Hernandez, Artem Dementyev and Xiqing Wang.

small home-made non-blocking server written in java.

Repository berisikan berbagai smell dan teknik-teknik refactoring dalam menyelesaikan kasus tersebut (Code Reengineering)

This is a sonar coverage report generator using python and docker