Contributors:AL-Alawi Mubarak, ahmed B, Mohamed Yasser
The uniqueness and the complexity of industrial construction project data have always been a challenge in research. The confidentiality of the data also contributes to the difficulty of avail data to researchers and the public, especially those projects related to industrial projects such as oil and gas facility projects. Therefore, data generators capable of generating a large number of simulated data have been a pressing demand by the research communities. This data describes a data generator that is capable of producing simulated industrial pipelines data.
The industrial pipelines data are complex in nature and the data generator is capable of generating a set of pipelines that preserves the topological and physical properties of the pipeline formation components. Each generated component has eight components. These are:
1. Line number
2. The type of pipeline branch
3. Component location (seq_in_branch)
4. The id of the previously connected component
5. Component type
6. Component diameter
7. Component length
8. The running direction (x, y, z) of the component
The data is a Python program code. It runs in a simple Python Integrated Development Environment (IDLE) and saves the generated data in a text file within the program code folder directory. The generated data can be used in studies related to the optimization of industrial pipelines fabrication, transportation, and on-site installation processes. The industrial pipelines data generator can allow different optimization algorithms to be tested under a large number of instance of problems. Also, the availability of the generator program code will enable the researchers to extend the development in the industrial pipeline data.
Data collected from U.S. workers. Survey delivered and sample obtained using Prolific (https://www.prolific.co/), with a sample representative of the U.S. population across age, gender and ethnicity. The high performance cycle questionnaire was developed by Borgogni and Dello Russo (2012). A self-report questionnaire developed by Onwezen, van Veldhoven and Biron (2014) was used to assess job performance. Data was transferred to SPSS AMOS for structural equation modeling analysis.
Contributors:Ziegelman Liran, Hernandez Manuel , Panaparambil Rohan, Syed Alveena, Martin Samuel, Shneyderman Matthew, Suresh Akanksha, Elmandouh Omar, Shehata Mostafa, Hamam Omar, Youssef Hossam, Elshourbagy Tarek, Ali Youssef, Dutta Anirban, Mahdy Ahmad, Harrigan Timothy, Brasic James
"We hypothesized that (1) correlation of (A) the output of instrumentation to generate quantitative continuous measurements of movements and (B) the quantitative measurements of trained examiners using structured ratings of movements would generate the tools to differentiate the movements of (A) Parkinson's disease (PD), (B) parkinsonian syndromes, and health, and (2) continuous quantitative measurements of movements would improve the ratings generated by visual observations of trained raters, and provide pathognomonic signatures to identify PD and parkinsonian syndromes" (Harrigan, et al., Quantitative continuous measurement of movements in the extremities, 2020).
"A protocol for a low-cost quantitative continuous measurement of movements in the extremities of people with PD (McKay, et al., 2019) was administered to people with PD and multiple system atrophy-parkinsonian type (MSA-P) and age- and sex-matched healthy control participants" (Harrigan, et al., Quantitative continuous measurement of movements in the extremities, 2020).
The protocol and data have been described (Brasic, et al., 2020; Harrigan, et al., 2020a,b; Mckay, et al., 2019).
"Healthy control participants were matched for age and sex with participants with PD. Participants with PD completed a single test session . . . , a test and a retest session . . . , or a test and two retest sessions . . . . HC participants completed test and retest sessions . . . . A participant with MSA-P . . . completed a test session" (Harrigan, et al., Quantitative continuous measurement of movements in the extremities, 2020).
Fourteen trained raters who were certified in the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) (Goetz, et al., 2008) were presented the output of the ten participants with PD who completed a single test session. Raters were presented two sets of 40 quizzes containing five representations for scoring of (A) output signals and FFTs and (B) CWTs. Each quiz contained contains the panels of the x, y, and z representations of the finger and wrist or the toe and ankle of the five repetitive tasks. Each panel to be scored included six images corresponding to the signals of the three dimensions of the two accelerometers on a single extremity. The laterality of the representations was not stated. Raters were presented five sets of six images of the original signal and the fast Fourier transform (FFT) or the continuous wavelet transforms (CWTs). Raters were presented either five panels of output signals and FFTs or CWTs. Panels did not include output signals and FFTs and CWTs simultaneously. Raters were instructed to score (A) output signals and FFTs and (B) CWTs analogously to the clinical coding forms as indicated the the instructions in the data.
Raters were asked to complete ratings independently at convenient times during the week.
Data can be compared and contrasted to comparable data from other locations.
Mohs Micrographic Surgery (MMS) has proven to be an effective technique in microscopically removing tumor foci while sparing normal tissue.
To describe the clinical and histopathologic profile of patients who underwent MMS at the Dermatology Center of St. Luke’s Medical Center from March 2003 - March 2018.
A retrospective review of MMS cases at the Dermatology Center from March 2003-March 2018.
Of 476 total MMS cases treated from 2003 to 2018, 404 cases with complete data were included. Mean age of the study population was 64.8 years old, with 94.9% in the >40 age group. Two hundred forty-two patients were Asians. The most common tumor was basal cell carcinoma (78%). More than half of cases (65.1%) were cleared of tumor after 2 stages. Based on the 5-year surveillance, there has been no recurrence of primary cases as of 2018. There were 2 (6.89%) recurrences amongst 29 recurrent tumors.
This study is limited to MMS patients operated on at the Dermatology Center of St. Luke’s Medical Center.
The clinicohistopathologic profile of patients who underwent MMS is reflective of local, regional and international data. Post-operative data and surveillance prove that MMS is both a conservative and reliable approach to treatment of NMSCs.
Contributors:Vintr Zdenek, Valis David, Hasilova Kamila, Forbelska Marie
The dataset originates from an analysis of the long-term records of failures of a water distribution network (WDN) which provides the water supply in a town of about 30 000 inhabitants. The town is situated in Central Europe and covers approximately 24 km2. The failure records available covered the period from 2000 to 2016.
The information available are not directly about WDN failures, but only about the repairs performed, accessible in the form of an aggregate record which included the number of repairs per calendar month. The dataset is based on the simplified assumption that the number of recorded repairs equals the number of failures which occurred during a given month. Information on the specific times at which individual failures occurred are not available. The numbers of failures recorded in this dataset are derived from the numbers of repairs performed. These repairs involved not only pipe breaks, but also all cases when the relevant WDN lost its ability to perform as required, e.g. pump failures and failures occurring when operating stop valves, water flow meters and other WDN parts.
The data were used to determine the psychometric properties of the Czech version of the PAQ-C questionnaire. The dataset contains 36 variables. Data were obtained from Czech children in the fifth and sixth grades of primary schools. The variables consist of demographic data (3), the PAQ-C score (26) and five variables related to accelerometry. Data were obtained in December 2019 and January 2020.
Symbol “-“ indicates the “don’t care” value. This table describes the full instruction cycle, which includes four machine cycles (T0 , T1 , T2 , and T3 ). Each machine cycle includes the 1-CLK binary component phase (highlighted in gray) and 4-CLK quinary component phase. The FSM has two inputs: the second operand bit D and scanned square bit S . The code of FSM state is represented by the TM state bit q and axillary carry flag c . The FSM outputs are: the reconfigurable tape control bits WR, SH, FB and carry-out bit CO . The second operand D , 9’s complement control bit CM , and carry-in value C are selected by the code of operation.