cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6318125
title: Translation and cultural adaptation of the stroke impact scale 2.0 (SIS): a quality-of-life scale for stroke

description: ABSTRACT BACKGROUND: No specific quality-of-life scale for stroke patients has previously been translated and evaluated for reproducibility, for use in the Portuguese language. Internationally, the instrument for this purpose is the Stroke Impact Scale 2.0 (SIS). Use of of SIS enables comprehensive analysis on the impact of mild and moderate stroke on patients’ lives. The aims here were to translate SIS into Portuguese, adapt it culturally, evaluate its reproducibility and correlate it with SF-36 among stroke patients. DESIGN AND SETTING: Translation and validation study. METHODS: The process of initial and retrograde translation was performed, in addition to cultural adaptation to the Brazilian language and culture. SIS was applied to 40 patients, who answered the questions three times. On the first day, the scale was applied twice by two independent researchers (to evaluate interobserver reproducibility). Fifteen days later, the scale was applied for a third time by another researcher (intraobserver reproducibility). The intraclass correlation coefficient (ICC) was used to measure the reproducibility of the SIS scale. RESULTS: The reproducibility of the whole scale was very good (ICC: 0.73 to 0.99). Intraobserver reproducibility in all domains was also very good (ICC: 0.85 to 0.95). Comparison of SIS with SF-36 showed that the domains of strength, mobility and activities of daily living (ADLs) correlated moderately with the functional capacity domain, as did the ADL domain with general health status. The other correlations were weak. The depression domain showed a moderate negative correlation with the memory and communication domains. CONCLUSION: The translation of the SIS 2.0 scale was easy to understand and it had good reproducibility among stroke patients.
DOI: 10.6084/m9.figshare.6318125.v1
title: Translation and cultural adaptation of the stroke impact scale 2.0 (SIS): a quality-of-life scale for stroke

description: ABSTRACT BACKGROUND: No specific quality-of-life scale for stroke patients has previously been translated and evaluated for reproducibility, for use in the Portuguese language. Internationally, the instrument for this purpose is the Stroke Impact Scale 2.0 (SIS). Use of of SIS enables comprehensive analysis on the impact of mild and moderate stroke on patients’ lives. The aims here were to translate SIS into Portuguese, adapt it culturally, evaluate its reproducibility and correlate it with SF-36 among stroke patients. DESIGN AND SETTING: Translation and validation study. METHODS: The process of initial and retrograde translation was performed, in addition to cultural adaptation to the Brazilian language and culture. SIS was applied to 40 patients, who answered the questions three times. On the first day, the scale was applied twice by two independent researchers (to evaluate interobserver reproducibility). Fifteen days later, the scale was applied for a third time by another researcher (intraobserver reproducibility). The intraclass correlation coefficient (ICC) was used to measure the reproducibility of the SIS scale. RESULTS: The reproducibility of the whole scale was very good (ICC: 0.73 to 0.99). Intraobserver reproducibility in all domains was also very good (ICC: 0.85 to 0.95). Comparison of SIS with SF-36 showed that the domains of strength, mobility and activities of daily living (ADLs) correlated moderately with the functional capacity domain, as did the ADL domain with general health status. The other correlations were weak. The depression domain showed a moderate negative correlation with the memory and communication domains. CONCLUSION: The translation of the SIS 2.0 scale was easy to understand and it had good reproducibility among stroke patients.
DOI: 10.17632/ym29rnzf94.2
title: A year-round sampling dataset of FA contents in Salvadoran fresh cheese

description: The dataset presents the results of the validation of the method by intensity fluorimetry to quantify formaldehyde contents in samples of fresh white cheese.
Additionally, the results of the analysis of 412 cheese samples over a period of 12 months are shown. Of the total samples, 32.9% (n=135) have quantified levels of formaldehyde and distributed in four seasons: late dry, transitional dry to rainy, rainy, transitional rainy to dry and early dry.
The highest percentages of formaldehyde-positive samples are concentrated in the seasons with the highest temperature values of the year: late dry (60.9%, 27.5 °C) and dry to rainy transitional season (79.7%, 28.3 °C) and tend to decrease in rainy (25.4%, 26.9 °C) and in rainy to dry transition (1.5%, 26.7 °C), characterized by having the lowest temperature records.
The association between these variables and quantified levels of aldehyde in raw milk sampled at the plant would indicate that FA was used to prevent milk and/or the final product from decomposing due to the effect of high ambient temperature. In addition, residual FA contents decreased in both milk and cheese, depending on added preservative levels, and the time elapsed until analysis.
DOI: 10.17632/gk9d5dffjz.1
title: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models - Chapter 7 - dataset -Cognitive learning and reasoning models applied to biomedical engineering 

description: “Pre-studies and pre-analysis of different Biomedical Engineering problems that need to be develop with specialized research projects applying Cognitive Learning and Reasoning (CL&R) algorithm, that can be integrated to the Proposed General Architecture framework of a Cognitive Computing Agents System (AI-CCAS)” with special emphasis on “Cognitive Learning and its relationship with the neuroscience of reasoning, to create specific AI cognitive models based on special human cognitive functionality factors of the affected patients,” in order to detect, evaluate, and classify different important human factors, such as “Gesture recognition,” “Speech generation,” “Mood behavior,” “Expressed Sentiments,” and others to obtain a real feedback of “nonmotor neurological symptoms,” that until now in general ways are evaluated based on procedures, questions, and answers of patients, caregivers, and others. 
Please read chapter 7 at Science Direct: https://www.sciencedirect.com/science/article/pii/B9780128207185000052 or buy the book at Elsevier, Amazon, available at bookstores worldwide.
Section 7.3.1 Research 7.1 theory for an “inference engine” shows that it is possible to extract text information stored in the “Knowledge Storage AI Database” for “COVID-19 (SARS-COVS-2)” symptoms and to define their categories. 
Section 7.3.2 Research 7.2 “Attention network” for “NLP applying long short-term memory” to classify text of COVID-19 symptoms (MATLAB_LTSM_Text).
Section 7.6.4.2.1 “Abductive reasoning—Causal arguments—Backward-chaining” Section 7.6.4.3.1 Example: “Paradigm case-based”, Section 7.6.4.4.1 Example: “Generative Coherence metric”
Section 7.6.5.1  "Abductive reasoning for medical diagnosis, Metaphoric reasoning"
Section 7.6.7.1 “Fuzzy System: Mamdani-type inference” , “Fuzzy Inference systems to control cough.” (MATLAB NEURO-FUZZY)
Section 7.6.7.2 Example “Fuzzy System: Sugeno-type inference” in MATLAB Problem to resolve Assume again the same problem to resolve from the last example: “liquid medicine for control cough” and analysis to control “cough” (MATLAB NEURO-FUZZY)
Section 7.7.1 Research 7.3 “AI model to detect and classify mood change on neurologic diseases, such as for Parkinson’s disease (PD) patients, and other neurologic diseases, by analyzing their cognitive status using their mood descriptions for yesterday and today” (folder MATLAB_COGNITIVE)
Section 7.7.2 Research 7.4 “CNN-NLP model to detect and classify deductive reasoning evaluation text on neurologic diseases patients, by analyzing their cognitive status based on their answers for three types of deductive reasoning using text propositional relational arguments” (folder MATLAB_DEDUC_REASON)
Section 7.7.3 Research 7.5 “Linguistic Neuro-Fuzzy Modeling to analyze breast cancer tumor.” Obtain a “Linguistic Neuro-Fuzzy model” to detect, analyze, and classify a “breast cancer tumor” as “Benign Cancer” or “Malignant Cancer" (folder MATLAB NEURO-FUZZY)
DOI: 10.6084/m9.figshare.6318656
title: Oral squamous cell carcinoma: a clinicopathological study on 194 cases in northeastern Brazil. A cross-sectional retrospective study

description: ABSTRACT BACKGROUND: Only a few studies have evaluated the clinicopathological features of oral squamous cell carcinoma (SCC) in Brazil, and most were conducted in the most industrialized region of the country, i.e. the southeastern region. The aim of this study was to evaluate the clinicopathological features of this malignant neoplasm in northeastern Brazil. DESIGN AND SETTING: Retrospective study performed in an oral pathology laboratory in Recife, Brazil. METHODS: All cases of oral SCC that occurred between 2000 and 2015 were studied. Clinical data were recorded and histological slides were reviewed. Statistical analysis was performed using the chi-square test (P ≤ 0.05). RESULTS: A total of 194 cases were evaluated. The male-to-female ratio was 1.5:1. The mean age was 65.4 years, and only 6.6% of the cases occurred in patients younger than 41 years. Most tumors consisted of well-differentiated SCC (54.6%). CONCLUSIONS: The findings of this study highlight the higher prevalence of oral SCC among women and the increasing number of cases among young patients. Thus there is no specific risk group for oral SCC, as in the past. This fact needs to be taken into consideration in clinical routine care, so that apparently innocuous malignant lesions do not go unnoticed in these individuals.
DOI: 10.17632/jk4dt6wprv.3
title: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

description: Details will be published in an accompanying article (1. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, 2022.

Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12),  CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗  (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗  (J33).
Data were acquired with the following two flow cytometers:
•	Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
•	Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)
DOI: 10.6084/m9.figshare.6318656.v1
title: Oral squamous cell carcinoma: a clinicopathological study on 194 cases in northeastern Brazil. A cross-sectional retrospective study

description: ABSTRACT BACKGROUND: Only a few studies have evaluated the clinicopathological features of oral squamous cell carcinoma (SCC) in Brazil, and most were conducted in the most industrialized region of the country, i.e. the southeastern region. The aim of this study was to evaluate the clinicopathological features of this malignant neoplasm in northeastern Brazil. DESIGN AND SETTING: Retrospective study performed in an oral pathology laboratory in Recife, Brazil. METHODS: All cases of oral SCC that occurred between 2000 and 2015 were studied. Clinical data were recorded and histological slides were reviewed. Statistical analysis was performed using the chi-square test (P ≤ 0.05). RESULTS: A total of 194 cases were evaluated. The male-to-female ratio was 1.5:1. The mean age was 65.4 years, and only 6.6% of the cases occurred in patients younger than 41 years. Most tumors consisted of well-differentiated SCC (54.6%). CONCLUSIONS: The findings of this study highlight the higher prevalence of oral SCC among women and the increasing number of cases among young patients. Thus there is no specific risk group for oral SCC, as in the past. This fact needs to be taken into consideration in clinical routine care, so that apparently innocuous malignant lesions do not go unnoticed in these individuals.
DOI: 10.6084/m9.figshare.6318809
title: Validation of single measurement of 12-hour urine excretion for estimation of sodium and potassium intake. A longitudinal study

description: ABSTRACT BACKGROUND: Evaluation of sodium and potassium intake can be carried out using different methods. Biological markers are able to capture intra and inter-individual variability and are used as separate measurements of consumption. The aim of this study was to test the validity of a single measurement of urinary sodium and potassium excretion as representative of habitual intake. DESIGN AND SETTING: Longitudinal study, federal university. METHODS: Food consumption data from a sample of adult university students and public servants (25 to 74 years old) were collected through 24-hour records and 12-hour urinary sodium and potassium excretion at five different times over a one-year period. The dietary data were entered into a nutritional research data software system and the sodium and potassium intakes were estimated. The variables were tested for normal distribution using the Kolmogorov-Smirnov test. One-way analysis of variance or the Kruskal-Wallis test was used to evaluate means. Correlations between measurements using Pearson or Spearman coefficients were calculated. The degree of agreement between the five measurements was given by the intraclass correlation coefficient. RESULTS: Satisfactory agreement was found between the five measurements of urinary sodium and potassium excretion over a year, with little variability in consumption. CONCLUSION: A single measurement of urinary sodium and potassium accurately estimated the usual average consumption of these electrolytes. This can be used in population-based studies.
DOI: 10.6084/m9.figshare.6318809.v1
title: Validation of single measurement of 12-hour urine excretion for estimation of sodium and potassium intake. A longitudinal study

description: ABSTRACT BACKGROUND: Evaluation of sodium and potassium intake can be carried out using different methods. Biological markers are able to capture intra and inter-individual variability and are used as separate measurements of consumption. The aim of this study was to test the validity of a single measurement of urinary sodium and potassium excretion as representative of habitual intake. DESIGN AND SETTING: Longitudinal study, federal university. METHODS: Food consumption data from a sample of adult university students and public servants (25 to 74 years old) were collected through 24-hour records and 12-hour urinary sodium and potassium excretion at five different times over a one-year period. The dietary data were entered into a nutritional research data software system and the sodium and potassium intakes were estimated. The variables were tested for normal distribution using the Kolmogorov-Smirnov test. One-way analysis of variance or the Kruskal-Wallis test was used to evaluate means. Correlations between measurements using Pearson or Spearman coefficients were calculated. The degree of agreement between the five measurements was given by the intraclass correlation coefficient. RESULTS: Satisfactory agreement was found between the five measurements of urinary sodium and potassium excretion over a year, with little variability in consumption. CONCLUSION: A single measurement of urinary sodium and potassium accurately estimated the usual average consumption of these electrolytes. This can be used in population-based studies.
DOI: 10.17632/c3c7329tjj.3
title: Theft detection in smart grid environment

description: The dataset contains energy consumption for 16 different types of consumers. The original data includes several energy consumption measurements for several customers for one year (12 months). Measurements are taken every hour.  

Six different types of frauds are added to the original dataset. They consist of different types of thefts that some consumers can cause. The first type of theft consists of a considerable reduction of electricity consumption during the day. This reduction is calculated by multiplying the consumption by the randomly chosen value between 0.1 and 0.8. In the second type of theft, electricity consumption drops to zero at random and during an arbitrary period. The third type of theft is similar to the first type, but each consumption value (each hour) is multiplied by a random number. A random fraction of the mean consumption is generated for the fourth type of theft. The fifth type reports the mean consumption, and the last type of theft (i.e., the sixth type) reverses the order of readings. We developed a theft generator that enabled us to generate these six types of theft as described previously randomly. 

The original data is collected from the Open Energy Data Initiative (OEDI) platform. It is a centralized repository of high-value energy research datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories. 

To use this dataset please cite this article: 
Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija, Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment, Journal of King Saud University - Computer and Information Sciences, 2022,  ISSN 1319-1578,
https://doi.org/10.1016/j.jksuci.2022.05.007.
(https://www.sciencedirect.com/science/article/pii/S1319157822001562)
DOI: 10.17632/pcr56xk8ns.1
title: Datos recopilados y simulados para tesis RC.

description: Contiene diferentes archivos .dat con los diferentes parámetros y conjuntos de datos necesarios para la utilización del modelo de espaciamiento de paraderos de sistemas BRT.
Se encuentra dividido en tres carpetas principales las cuales contienen los datos reales, procesados y simulados utilizados en el modelación. Dentro de cada una de estas carpetas se encuentran cuatro (4) subcarpetas, cada una de ellas hace referencia a los diferentes experimentos realizados. Por último, dentro de cada carpeta de experimento se encuentran diferentes archivos .dat con el tipo de dato correspondiente (simulado, procesado o real) y cuyo nombre se encuentra diferenciado según el escenario de estudio que corresponda.
DOI: 10.6084/m9.figshare.6833072
title: Utilization of food outlets and intake of minimally processed and ultra-processed foods among 7 to 14-year-old schoolchildren. A cross-sectional study

description: ABSTRACT BACKGROUND: Access to food retailers is an environmental determinant that influences what people consume. This study aimed to test the association between the use of food outlets and schoolchildren’s intake of minimally processed and ultra-processed foods. DESIGN AND SETTING: This was a cross-sectional study conducted in public and private schools in Florianópolis, state of Santa Catarina, southern Brazil, from September 2012 to June 2013. METHODS: The sample consisted of randomly selected clusters of schoolchildren aged 7 to 14 years, who were attending 30 schools. Parents or guardians provided socioeconomic and demographic data and answered questions about use of food outlets. Dietary intake was surveyed using a dietary recall questionnaire based on the previous day’s intake. The foods or food groups were classified according to the level of processing. Negative binomial regression was used for data analysis. RESULTS: We included 2,195 schoolchildren in the study. We found that buying foods from snack bars or fast-food outlets was associated with the intake frequency of ultra-processed foods among 11-14 years old in an adjusted model (incidence rate ratio, IRR: 1.11; 95% confidence interval, CI: 1.01;1.23). Use of butchers was associated with the intake frequency of unprocessed/minimally processed foods among children 11-14 years old in the crude model (IRR: 1.11; 95% CI: 1.01;1.22) and in the adjusted model (IRR: 1.11; 95% CI: 1.06;1.17). CONCLUSIONS: Use of butchers was associated with higher intake of unprocessed/minimally processed foods while use of snack bars or fast-food outlets may have a negative impact on schoolchildren’s dietary habits.
DOI: 10.6084/m9.figshare.6833072.v1
title: Utilization of food outlets and intake of minimally processed and ultra-processed foods among 7 to 14-year-old schoolchildren. A cross-sectional study

description: ABSTRACT BACKGROUND: Access to food retailers is an environmental determinant that influences what people consume. This study aimed to test the association between the use of food outlets and schoolchildren’s intake of minimally processed and ultra-processed foods. DESIGN AND SETTING: This was a cross-sectional study conducted in public and private schools in Florianópolis, state of Santa Catarina, southern Brazil, from September 2012 to June 2013. METHODS: The sample consisted of randomly selected clusters of schoolchildren aged 7 to 14 years, who were attending 30 schools. Parents or guardians provided socioeconomic and demographic data and answered questions about use of food outlets. Dietary intake was surveyed using a dietary recall questionnaire based on the previous day’s intake. The foods or food groups were classified according to the level of processing. Negative binomial regression was used for data analysis. RESULTS: We included 2,195 schoolchildren in the study. We found that buying foods from snack bars or fast-food outlets was associated with the intake frequency of ultra-processed foods among 11-14 years old in an adjusted model (incidence rate ratio, IRR: 1.11; 95% confidence interval, CI: 1.01;1.23). Use of butchers was associated with the intake frequency of unprocessed/minimally processed foods among children 11-14 years old in the crude model (IRR: 1.11; 95% CI: 1.01;1.22) and in the adjusted model (IRR: 1.11; 95% CI: 1.06;1.17). CONCLUSIONS: Use of butchers was associated with higher intake of unprocessed/minimally processed foods while use of snack bars or fast-food outlets may have a negative impact on schoolchildren’s dietary habits.
DOI: 10.6084/m9.figshare.6832505
title: Translation and validation of Warmometer, a tool for assessing warmth in patient-provider relationships, for use in Brazilian Portuguese

description: ABSTRACT BACKGROUND: Empathy in the patient-provider relationship is associated with important outcomes in healthcare practice. Our aim was to translate and validate Warmometer, a visual tool for assessing warmth in patient-provider relationships, for use in Brazilian Portuguese. DESIGN AND SETTING: Cross-sectional study conducted at an antenatal clinic of a public university hospital in São Paulo, Brazil. METHODS: The instrument was translated into Brazilian Portuguese and culturally adapted. It was tested for reliability and validity among 32 pregnant women, between June 2015 and January 2016. To assess construct validity, it was correlated with the Consultation and Relational Empathy (CARE) scale (gold standard for patient-provider relationships) and the Interpersonal Reactivity Index (IRI). RESULTS: The translated version of Warmometer had good face and content validity, low intra-observer reproducibility (intraclass correlation coefficient, ICC: 0.224; 95% confidence interval, CI -0.589 to 0.621;P = 0.242) and high inter-observer reproducibility (ICC: 0.952; 95% CI 0.902 to 0.977; P &lt; 0.001). There was a strong correlation between Warmometer and CARE (r = 0.632) and a weak correlation between Warmometer and IRI (r = 0.105). CONCLUSIONS: Warmometer was translated, culturally adapted and validated for use in Brazilian Portuguese. The translated version is a reliable tool for assessing the degree of empathy perceived by the patient in a patient-provider relationship.