Mother’s Significant Feature (MSF) Dataset has been designed to provide data to researchers working towards woman and child health betterment. MSF dataset records are collected from the Mumbai metropolitan region in Maharashtra, India. Women were interviewed just after childbirth between February 2018 to March 2021. MSF comprise of 450 records with a total of 130 attributes consisting of mother’s features, father’s features and health outcomes. A detailed dataset is created to understand the mother’s features spread across three phases of her reproductive age i.e.

Instructions: 

We have provided the copy of forms used to collect data for datset and a read me guide to undertand the features provided in dataset along with the content of all the 6 dataset submitted in excel sheet format.

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 The dataset consists of results of 10 different tests conducted on 8 different types of battery cells. All batteries are designed in 18650, but they differ in manufacturer and composition. The measurements can be divided into three groups: constant load tests, WLTP tests at different temperatures and transient tests. Constant load tests are performed at 0.1C and 1C as a function of battery capacity, both during charging and discharging. During transient tests, a 360s load/charge is followed by a 60s relaxation.

Instructions: 

Please see the attached: Complex_battery_test_18650.docx.

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Silk fibroin is the structural fiber of the silk filament and it is usually separated from the external fibroin by a chemical process called degumming. This process consists in an alkali bath in which the silk cocoons are boiled for a determined time. It is also known that the degumming process impacts the property of the outcoming silk fibroin fibers.

Instructions: 

The data contained in the first sheet of the dataset is in tidy format (each row correspond to an observation) and can be directly imported in R and elaborated with the package Tidyverse. It should be noticed that the row with the standard order 49 correspond to the reference degumming while the row 50 correspond to the test made on the bare silk fiber (not degummed). In this last case neither the mass loss nor the secondary structures were determined. In fact, being not degummed the sericine was surrounding the fiber so the examination of the secondary structure could not be done. The first two column of the dataset represent the Standard order (the standard order in which the Design of Experiment data are elaborated) and the Run order (the randomized order in whcih the trials were performed). The next four columns are the Studied factors while the rest of the dataset reports the process yields (in this case, the properties of the outcoming silk fibers). 

The second sheet contains the information of the molecular weight of the tested samples. In this case only one sample for each triplicate was tested. Both the standard order and the run order referred to the same samples of the first sheet. 

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Data Analysis

This folder consists of data obtained from the experiments and the materials we use for analysis. Here we provide the following documents:

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This paper introduces a low profile wideband Planar Inverted-F antenna (PIFA) for vehicular applications in the 5G systems (below 6GHz) and Vehicle-to-Everything (V2X) communications. The antenna covers a wide range of bandwidth that operates from 617MHz to 6GHz while having an acceptable filtering on the GNSS bands. This design’s physical dimensions and electrical performance makes it suitable for low profile wireless applications in the automotive field.

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'Test Dataset' folder:

-Real_sk:  random generated secret keys datasets

-Trace_data: traces generated from chosen ciphertexts

 

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 This Excel file presents the built database for the paper titled "Bridgeless PFC topology simplification and design for performance benchmarking".  

1. You can find more details about how to use the data presented here to build the component model in the paper.

2. In the "calculated results sheet", you can see our case study results by using this built database to select components and benchmark the bridgeless buck-boost PFC converters.

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Logs from running Monte Carlo simulation as serverless functions on Frankfurt, North Virginia, Tokyo regions of four FaaS systems (AWS, Google, IBM, Alibaba).

Each execution is repeated 5 times (all are warm start). 

The conducted analysis is a part of a submitted manuscript to IEEE TSC. 

Instructions: 

The zip file contains several types of datasets.

1. Logs contain details of each execution on all providers / regions. Each column has a self-descriptive title. The first 1000 functions on AWS, 200 on Alibaba, 100 on Google and 100 on IBM are all executed concurrently. The remaining functions are executed once some of the active functions finish due to concurrency limit of the provider.

2. Functions contain the Monte Carlo functions that are executed (in Python).

Based on these logs, we evaluated our xAFCL service along with our new FaaS model and the scheduler. 

3. Makespan<k> contains measured makespan for each set of experiments for scaling factor k. Experiments are denoted as N/r where N is the number of functions that are distributed across the r regions. N=k*r for weak scaling and N=12*r for strong scaling.

4. Regions are ordered in the file xAFCLModelInputs.csv. 

5. Summary presents the achieved average makespan and maximum throughput for each scaling factor k.

 

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This dataset contains a list of 284 popular websites and URLs to their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, and blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.

Instructions: 

The dataset is split by country via sheets, i.e., one sheet per country. Each sheet contains five columns. The column description is as follows:Column 1 specifies the sector that a specific website belongs to.Column 2 specifies the sources that were leveraged to collect the websites belonging to a specific sector.Column 3 specifies the name of a website.Column 4 specifies the URL of a website.Column 5 specifies the privacy policy/statement URL, if provided by the corresponding website. An empty cell in this column depicts that the respective website does not provide a privacy statement.

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