INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies

Simulation studies allow us to explore the properties of statistical methods.They provide a powerful tool with a multiplicity of aims; among others: evaluating and comparing new or existing statistical methods, assessing violations of modelling assumptions, helping with the understanding of statistical concepts, and supporting the design of clinical trials.The increased availability of powerful computational tools and usable software has contributed to the rise of simulation studies in the current literature.However, simulation studies involve increasingly complex designs, making it difficult to provide all relevant results clearly.Dissemination of results plays a focal role in simulation studies: it can drive applied analysts to use methods that have been shown to perform well in their settings, guide researchers to develop new methods in a promising direction, and provide insights into less established methods.It is crucial that we can digest relevant results of simulation studies.Therefore, we developed INTEREST: an INteractive Tool for Exploring REsults from Simulation sTudies.The tool has been developed using the Shiny framework in R and is available as a web app or as a standalone package.It requires uploading a tidy format dataset with the results of a simulation study in R, Stata, SAS, SPSS, or comma-separated format.A variety of performance measures are estimated automatically along with Monte Carlo standard errors; results and performance summaries are displayed both in tabular and graphical fashion, with a wide variety of available plots.Consequently, the reader can focus on simulation parameters and estimands of most interest.In conclusion, INTEREST can facilitate the investigation of results from simulation studies and supplement the reporting of results, allowing researchers to share detailed results from their simulations and readers to explore them freely.

Simulation and Exergy Analysis of a Refrigeration System Using an Open-Source Web-Based Interactive Tool—Comparison of the Conventional Approach and a Novel One for Avoidable Exergy Destruction Estimation

Avoidable endogenous/exogenous parts of the exergy destruction in the components of an energy conversion system can be computed by applying advanced exergy analysis. Their calculation is crucial for the correct assessment of the real thermodynamic enhancement achievable by the investigated energy conversion system. This work proposes a new approach to estimate the avoidable exergy destruction rates of system components, being more rigorous compared to the conventional method due to the elimination of the need for the implementation of theoretical assumptions associated with the idealization of processes. An open-source web-based interactive tool was implemented to contrast the results of the conventional advanced exergy analysis to those involving the new approach for avoidable exergy destruction estimation. The comparison was based on the same case study, i.e., a refrigeration system selected from the literature. It was observed that the developed tool can be properly employed for comparing the two approaches within exergy analyses, and the results obtained presented some differences for the compressor and the condenser. Compared to the new approach, the existing methodology of advanced exergy analysis suggests lower values of the avoidable part of exergy destruction, which can be reduced by improving the efficiency of the compressor and the condenser. Moreover, the avoidable parts of exergy destruction, which could be removed within these components by improving the efficiencies of the remaining components, were higher in the case of the application of the existing advanced exergetic analysis as compared with the findings obtained by the proposed approach. These differences were due to the impossibility of the existing advanced exergy analysis to implement complete thermodynamic “idealization” for the condenser and evaporator.

Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications

For quality, interpretation, reproducibility and sharing value, microscopy images should be accompanied by detailed descriptions of the conditions that were used to produce them. Micro-Meta App is an intuitive, highly interoperable, open-source software tool that was developed in the context of the 4D Nucleome (4DN) consortium and is designed to facilitate the extraction and collection of relevant microscopy metadata as specified by the recent 4DN-BINA-OME tiered-system of Microscopy Metadata specifications. In addition to substantially lowering the burden of quality assurance, the visual nature of Micro-Meta App makes it particularly suited for training purposes.

COV-DOCK server: A web server for COVID-19 ligand-target docking

MotivationDespite mass level vaccinations and the launch of several repurposed drugs, the emergence ofCOVID-19 reinfection has posed a key challenge in front of health authorities across the world.There is an urgent need to find new drugs and the understanding of the COVID-19 target–ligandinteractions will play an important role in this direction. Here, we present COV-Dock Server, aweb server that predicts the binding modes between COVID-19 targets and the small drugmolecules.ResultsWe collected experimentally solved structures of proteins of SARS-CoV-2. Further, we used thepredicted structure of experimentally unsolved proteins that were also collected. These structureswere prepared for the docking. Next, 257 candidate drugs were docked against these targetsusing the meta-platform to understand the binding energy distributions. This server provides afree and interactive tool for the prediction of COVID-19 target–ligand interactions and enablesdrug discovery for COVID-19.

The burden of skin diseases in India: Global Burden of Disease Study 2017

Background: The prevalence of skin diseases has increased over the last few decades, and they contribute to a significant burden on health-care systems across the world. Aims/Objective: This report looks at the burden of skin and subcutaneous diseases in terms of years lived with disability and agestandardised years lived with disability in India using the Global Burden of Disease Study results from 2017. Methods: Data were obtained from the Global Burden of Disease online interactive tool. Updated estimates of the world’s health for 359 diseases and injuries and 84 risk factors from 1990 to 2017 are available in this interactive tool. Results: Years lived with disability due to skin and subcutaneous diseases accounted for 4.02% of the total years lived with disability in India in 2017. There was an increase of 53.7% in all age standardised years lived with disability for all the skin and subcutaneous diseases from 1990 to 2017. Among skin and subcutaneous diseases, dermatitis contributed maximum years lived with disability (1.40 million; 95% uncertainty interval, 0.82–2.21) in 2017, followed by urticaria (1.02 million; 95% uncertainty interval, 0.06–1.44) with percentage increases of 48.9% and 45.7% respectively. Conclusion: The burden due to infectious skin diseases (e.g., scabies, fungal skin disease and bacterial skin disease) and non-infectious diseases (e.g., dermatitis, urticaria and psoriasis) has increased over the past three decades, however the age-standardised years lived with disability for leprosy, scabies, fungal infections, sexually transmitted infections and non-melanoma skin cancer (basal cell carcinoma) has decreased. The high burden of skin and subcutaneous diseases demand that they be given due importance in the national programmes and health policy of India.

HIVE: Hierarchical Information Visualization for Explainability

In this demonstration, we develop an interactive tool, HIVE, to demonstrate the ability and versatility of an explainable risk ranking model with a special focus on financial use cases. HIVE is a web-based tool that provides users with automated highlighted financial statements, and HIVE is designed for making comparing statements rather more efficient. Moreover, with the proposed tool, users can find related reports at ease, and we believe that HIVE can benefit both academics and practitioners in finance as they can work around deep learning models with their newly gained insights.

An Interactive Tool for Simulation of Biological Models Into the Wastewater Treatment With Microalgae

This paper presents a novel simulation tool to understand and analyze biological models for wastewater treatment processes using microalgae. The models for this type of processes are very complex to be analyzed because of the very different phenomena, variables and parameters involved. The model already included in the tool has been validated at controlled conditions simulating outdoor ones, it being useful to simulate real outdoor cultures. The major contribution of the proposed tool is that these models can be easily and interactively simulated and compared. The tool allows simulating biological models only considering microalgae or including the microalgae-bacteria consortium. Moreover, the simulations can be done only using the solar radiation contribution or by adding the environmental and bacteria effects as cardinal terms. Furthermore, the effects of the wastewater properties or different microalgae strains can be evaluated. The interactive simulations can be performed for selected days as representative of the different year seasons that are already preloaded in the tool. However, the user can also load data from other locations to simulate the models under particular conditions.