cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14306402.v1
title: Cow's functional traits and physiological status and their relation with milk yield and milk quality in a compost bedded pack barn system

description: ABSTRACT We aimed to determine the relationship of milk yield, milk composition, and somatic cell score (SCS) with functional traits (lameness score, udder cleanliness score, udder depth, and teat end hyperkeratosis score) and physiological status (parity and days in milk (DIM) of cows housed in compost bedded pack barn system (CBP) using multivariate analysis. Data were collected in September and October of 2017 and evaluated using factor and cluster analysis. Four factors were formed, with the first factor showing the traits responsible for altering the lactose content in milk, the second factor comprising the effect of DIM, the third factor representing the teat end hyperkeratosis score, and the fourth factor demonstrating the udder cleanliness. The cluster analysis formed three clusters. Clusters 2 and 3 differed for protein and lactose content, SCS, parity, DIM, lameness score, and udder depth. Cluster 1 differed from the others, especially due to the high milk yield. Cow conformation traits and physiological status affected milk yield and composition in CBP. There is an association between udder depth, parity, and SCS with negative impact on lactose content. Parity is also associated with higher milk yield and teat end hyperkeratosis score. Cows with lower lameness score presented dirtier udders due to increased movements on the feed parlor and water troughs areas. Special attention to the improvement of the udder conformation traits, as well as management practices that reduce hyperkeratosis, are necessary to keep high yielding, healthy, and cows with higher longevity. The cleanliness in the feed parlor and water troughs area is very important to preserve milk quality and healthy cows.
DOI: 10.21227/4w70-3m36
title: Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity forecasting

description: COVID-19 causes issues in energy demand profile forecasting. Day-ahead energy forecasting systems struggle to provide accurate demand predictions. Decomposition-Residuals Deep Neural Networks (DR-DNN) is a two-layer hybrid architecture with: a decomposition and a nonlinear layer. Based on statistical tests, the decomposition layer applies robust signal decomposition and low-order system identification of input data streams into: trend, seasonal and residuals signals. Utilizing calendar information, temporal signals are added: sinusoidal day/night cycles, weekend/weekday, etc. The nonlinear layer can learn unknown nonlinear patterns using typical DNN models like Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). DR-DNN outperformed baseline, linear, and plain DNN models on next-day electricity forecasts within the COVID-19 era (September 2020-January 2021).
DOI: 10.6084/m9.figshare.14306400.v1
title: Association of the forage management practices, weaning rate, and factors that influence technological adoption in beef cattle production

description: ABSTRACT The objective of this study was to verify the association of improved native grassland and winter and summer pastures on the weaning rate in beef cattle production. Subsequently, we also verified the socioeconomic and productive characteristics related to the adoption of technologies to increase the weaning rate of the farmers. The survey was conducted with 73 producers of Hereford and Braford cattle in the state of Rio Grande do Sul, Brazil. A data analysis was performed using the minimum ordinal squares method and the regression analysis (Tobit). The results showed that cattle farmers who adopt winter pastures have greater weaning rates, and the factors that influence this adoption are related to a greater number of employees on the farm and the use of a crop-livestock production system. In addition, farmers who receive a greater number of technical assistance visits per year are more likely to adopt winter pastures and improved native grassland. This information can be useful in the formulation of technological dissemination programs that aim at a sustainable production of beef cattle.
DOI: 10.6084/m9.figshare.14306397.v1
title: Prediction of all-cause and cardiovascular mortality using central hemodynamic indices among elderly people: systematic review and meta-analysis

description: ABSTRACT BACKGROUND: Despite widespread usage of central blood pressure assessment its predictive value among elderly people remains unclear. OBJECTIVE: To ascertain the capacity of central hemodynamic indices for predicting future all-cause and cardiovascular hard outcomes among elderly people. DESIGN AND SETTING: Systematic review and meta-analysis developed at the Del Cuore cardiology clinic, in Antonio Prado, Rio Grande do Sul, Brazil. METHODS: 312 full-text articles were analyzed, from which 35 studies were included for systematic review. The studies included needed to report at least one central hemodynamic index among patients aged 60 years or over. RESULTS: For all-cause mortality, aortic pulse wave velocity (aPWV) and central systolic blood pressure (SBP) were significant, respectively with standardized mean difference (SMD) 0.85 (95% confidence interval, CI 0.69-1.01; I2 96%; P &lt; 0.001); and SMD 0.27 (95% CI 0.15-0.39; I2 77%; P 0.012). For cardiovascular mortality brachial-ankle PWV (baPWV), central SBP and carotid-femoral PWV (cfPWV) were significant, respectively SMD 0.67 (95% CI 0.40-0.93; I2 0%; P 0.610); SMD 0.65 (95% CI 0.48- 0.82; I2 80%; P 0.023); and SMD 0.51 (95% CI 0.32-0.69; I2 85%; P 0.010). CONCLUSIONS: The meta-analysis results showed that aPWV was promising for predicting all-cause mortality, while baPWV and central SBP demonstrated consistent results in evaluating cardiovascular mortality outcomes. Thus, the findings support usage of central blood pressure as a risk predictor for hard outcomes among elderly people. REGISTRATION NUMBER IN PROSPERO: RD42018085264
DOI: 10.6084/m9.figshare.14306393.v1
title: Frequency and intensity of pain symptoms detected during classic massage sessions of selected body parts in purebred Arabian racing horses

description: ABSTRACT We analysed the frequency of symptoms and degree of muscle pain in selected body parts of racing horses assessed during classic massage sessions. The influence of horse's sex on obtained results was considered. The potential for the early determination of pain in horses by analysing their behaviour and cardiac parameters during a massage session was also evaluated. The study was conducted on 20 three-year-old purebred Arabian horses during one racing season. In the racing season, cyclic classic massage sessions were performed, during which the frequency of symptoms and the degree of pain in the neck, back, croup, front limbs, and hind limbs were analysed. A behavioural assessment of the horses was conducted, and cardiac parameters were analysed. During massage, the frequency of pain symptoms in front limbs amounted to 26, while in croup, it did not exceed 6. The studied horses were most susceptible to pain in the front limbs and in the back, with greater severity in stallions than in mares. An assessment of the frequency and severity of pain symptoms should not be based on changes in behaviour of horses or on cardiac parameters (HR and LF:HF ratio) during massage sessions. However, these methods can be applied after pain reactions intensify. Meanwhile, qualified masseurs can diagnose slight muscle pain during massage sessions.
DOI: 10.6084/m9.figshare.14306392.v1
title: Estimating Brazilian states’ demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model

description: ABSTRACT BACKGROUND: The fragility of healthcare systems worldwide had not been exposed by any pandemic until now. The lack of integrated methods for bed capacity planning compromises the effectiveness of public and private hospitals’ services. OBJECTIVES: To estimate the impact of the COVID-19 pandemic on the provision of intensive care unit and clinical beds for Brazilian states, using an integrated model. DESIGN AND SETTING: Experimental study applying healthcare informatics to data on COVID-19 cases from the official electronic platform of the Brazilian Ministry of Health. METHODS: A predictive model based on the historical records of Brazilian states was developed to estimate the need for hospital beds during the COVID-19 pandemic. RESULTS: The proposed model projected in advance that there was a lack of 22,771 hospital beds for Brazilian states, of which 38.95% were ICU beds, and 61.05% were clinical beds. CONCLUSIONS: The proposed approach provides valuable information to help hospital managers anticipate actions for improving healthcare system capacity.
DOI: 10.6084/m9.figshare.14306387.v1
title: Structure and concentration of the global sheep meat market

description: ABSTRACT The objective of this study was to examine the structure and competitiveness of the global sheep meat market using econometric indices (Balassa's revealed comparative advantage, relative position market [RPM], relative export advantage [RXA], imported specialization index [RMA], relative trade advantage [RTA], and net export index [NEI]), as well as sheep meat production, structure, consumption, and trade volume for 151 countries with sustained participation in the global trade market for sheep meat from 2003 to 2013. A hierarchical cluster analysis was used to classify countries. We observed that structure, production, and imports of sheep meat were unconcentrated, e.g., there is no country dominating for those indices; in contrast, the export market was highly concentrated with a duopolistic structure. For trade competitiveness, New Zealand, the Republic of Macedonia, and Sudan were competitive and specialized, while New Zealand and Australia were dominant in the international trade market. The global sheep meat market has become more concentrated, as it has developed as a specialized market. Therefore, there is a need for a holistic vision and understanding of the global sheep meat market so that its impact on farmers can be foreseen.
DOI: 10.6084/m9.figshare.14306385.v1
title: Effectiveness of milking management practices for SCC and TBC levels in milk

description: ABSTRACT We aimed to evaluate the impact of milking management practices on milk quality though somatic cell count (SCC) and total bacterial count (TBC). By means of a survey that included farmers associated to two cooperatives, namely Cosulati in the state of Rio Grande do Sul and Castrolanda in the state of Paraná, the hypothesis that milking handling practices impact SCC and TBC levels negatively, regardless of the technological development level of the farm, was analyzed. For such, the quantile regression method was used to estimate models for the 10th, 50th, and 90th quantiles. The results confirmed that SCC and TBC levels decrease as the number of practices increases. However, only three practices impact SCC and TBC levels significantly, and their impact is not related to the farm technological level, according to tests performed by quantile regression. Finally, the study showed that some milk quality and management practices affect somatic cell count and total bacterial count more than others, which consists of using the correct active principle during dry cattle, post-dip, and the water temperature control periods.
DOI: 10.6084/m9.figshare.14306382.v1
title: Neck pain and associated factors in a sample of high school students in the city of Bauru, São Paulo, Brazil: cross-sectional study

description: ABSTRACT BACKGROUND: Neck pain is a major public health problem. OBJECTIVE: The aim of the present study was to determine the prevalence of neck pain among high school students and to analyze associations with sociodemographic variables, use of electronic devices, habitual physical activity practices and mental health problems. DESIGN AND SETTING: Cross-sectional epidemiological study on a sample of high school students in the city of Bauru, São Paulo, Brazil. METHOD: Participants were selected through cluster sampling in two stages and data were collected via face-to-face interviews. Data collection comprised the following steps: 1. sociodemographic characteristics; 2. use of electronic devices; 3. habitual physical activity levels; 3. mental health; and 4. neck pain. RESULTS: A total of 1,628 participants were interviewed. The prevalence of neck pain was 49.1% (95% confidence interval, CI 46.7 to 51.5), with 40.4% (95% CI 37.0 to 43.7) in men and 57.5% (95% CI 54.2 to 60.9) in women. The variables associated with in neck pain were: female (prevalence ratio, PR = 2.04), use of cell phone in standing posture (PR = 1.47), use of tablet in sitting posture (PR = 1.72), length of computer use greater than 3 hours/day (PR = 1.54), length of cell phone use greater than 3 hours/day (PR = 1.54), length of tablet use greater than 3 hours/ day (PR = 1.34) and mental health problems (PR = 1.56). CONCLUSION: There is high prevalence of neck pain among students and striking associations with female sex, use of electronic devices and mental health problems.
DOI: 10.6084/m9.figshare.14306380.v1
title: Functional outcomes among stroke patients in Alagoas, Brazil: observational study

description: ABSTRACT BACKGROUND: Stroke is the principal cause of disability around the world and the ensuing functional dependence (FD) can be correlated with different factors. OBJECTIVE: To determine how demographic factors and clinical characteristics after stroke distinguish patients who achieve functional independence from those who do not. DESIGN AND SETTING: Observational study at specialized neurovascular clinic in Alagoas, Brazil. METHODS: FD was classified according to the modified Rankin scale (mRs): 0 to 2 points were classified as independent (FD-), and 3 to 5 points were classified as dependent (FD+). Logistic regression analysis included age, sedentary lifestyle, the Center for Epidemiological Studies – Depression Scale (CES-D) and the National Institutes of Health Stroke Scale (NIHSS). The Mann-Whitney test and χ2 test were used to compare groups. RESULTS: We included 190 stroke patients with a mean age of 60.02 ± 14.22 years. We found that 34.8% of the patients were classified as FD+. Lower NIHSS and CES-D scores were more associated with achieving functional independence. Most of the patients had access to physical therapy, and the mean duration of rehabilitation therapy was 65.2 minutes per week. Females had higher prevalence of depressive symptoms (P = 0.005) and rehabilitation time was shorter for hemorrhagic stroke (P = 0.02). CONCLUSION: We found a FD rate four times greater than in another Brazilian study. Lower stroke severity and fewer depressive symptoms were associated with achieving functional independence. Less than half of the patients were referred to a rehabilitation service at hospital discharge and few had access to multidisciplinary treatment.
DOI: 10.6084/m9.figshare.14306379.v1
title: Development of language and arithmetic skills: risk and protective factors. Comparative cross-sectional study

description: ABSTRACT BACKGROUND: In a literate society, linguistic/arithmetic performance is highly valued. Based on defined risk factors, strategies for promotion of better performance can be developed. OBJECTIVE: To ascertain the risk and protective factors relating to development of language and arithmetic. DESIGN AND SETTING: Observational comparative cross-sectional study at a public elementary school in Ribeirão Preto (SP), Brazil. METHODS: A total of 66 children (41% females) attending first to fifth grades participated in this study. They were divided into two groups: G1, children classified as presenting language or arithmetic deficits; G2, average performance. Language (oral and written) and arithmetic skills were assessed through standardized tests. Variables relating to social skills, home environment resources and behavioral problems were assessed through standardized scales. Data on other variables (pre, peri and postnatal complications, maternal variables and others) were collected through interviews. The logistic regression technique with LASSO was used (α = 0.05). RESULTS: Teenage pregnancy and consumption of psychoactive substances during pregnancy or complications during pregnancy were risk factors for performance regarding arithmetic and language. Higher schooling level for the mother was a protective factor in the development of arithmetic and language. Being female and having a history of otitis were risk factors for language. Altered social skills (responsibility and civility) and complaints of inattention were risk factor for arithmetic. Adequate linguistic development was a protective factor for the development of arithmetic. CONCLUSION: The risk/protective factors included variables relating to the gestational period, mother's age when pregnant, mother's schooling, social skills, behavior and development issues.
DOI: 10.6084/m9.figshare.14306378.v1
title: Validity of the short physical performance battery for screening for frailty syndrome among older people in the Brazilian Amazon region. A cross-sectional study

description: ABSTRACT BACKGROUND: Environmental and population characteristics seem to influence the variation in cutoff points of the Short Physical Performance Battery (SPPB) for diagnosing frailty syndrome among older adults. OBJECTIVE: To verify the validity of the SPPB for screening for frailty syndrome among older adults in the Amazonian context. DESIGN AND SETTING: Cross-sectional population-based study on older adults in the urban area of Coari (AM), Brazil. METHODS: In total, 264 older adults (60 years of age or over) were included. Frailty syndrome was defined using the Fried phenotype criteria. The SPPB cutoff points were compared in relation to frailty and validity measurements were calculated for the test. RESULTS: A strong association between poor physical performance and frailty was identified (P &lt; 0.001). The cutoff point of 6 demonstrated the best validity measurements for frailty in the sample studied (sensitivity: 0.28; specificity: 0.94; accuracy: 0.88; area under the receiver operating characteristic curve, AUC-ROC: 0.61; likelihood ratio, LR+: 4.44; LR-: 0.77; prevalence: 8.3%; post-test probability, PTP+: 0.32; PTP-: 0.07), with emphasis on high specificity and the positive likelihood ratio value. CONCLUSION: The SPPB was shown to be useful for screening frail older adults in the Amazon region. The score of 6 demonstrated the best cutoff point for this population. This could be used in healthcare services for diagnostic screening for frailty among older people within the Amazonian context.
DOI: 10.6084/m9.figshare.14306376.v1
title: Performance of the Pandemic Medical Early Warning Score (PMEWS), Simple Triage Scoring System (STSS) and Confusion, Uremia, Respiratory rate, Blood pressure and age ≥ 65 (CURB-65) score among patients with COVID-19 pneumonia in an emergency department triage setting: a retrospective study

description: ABSTRACT BACKGROUND: Healthcare institutions are confronted with large numbers of patient admissions during large-scale or long-term public health emergencies like pandemics. Appropriate and effective triage is needed for effective resource use. OBJECTIVES: To evaluate the effectiveness of the Pandemic Medical Early Warning Score (PMEWS), Simple Triage Scoring System (STSS) and Confusion, Uremia, Respiratory rate, Blood pressure and age ≥ 65 years (CURB-65) score in an emergency department (ED) triage setting. DESIGN AND SETTING: Retrospective study in the ED of a tertiary-care university hospital in Düzce, Turkey. METHODS: PMEWS, STSS and CURB-65 scores of patients diagnosed with COVID-19 pneumonia were calculated. Thirty-day mortality, intensive care unit (ICU) admission, mechanical ventilation (MV) need and outcomes were recorded. The predictive accuracy of the scores was assessed using receiver operating characteristic curve analysis. RESULTS: One hundred patients with COVID-19 pneumonia were included. The 30-day mortality was 6%. PMEWS, STSS and CURB-65 showed high performance for predicting 30-day mortality (area under the curve: 0.968, 0.962 and 0.942, respectively). Age &gt; 65 years, respiratory rate &gt; 20/minute, oxygen saturation (SpO2) &lt; 90% and ED length of stay &gt; 4 hours showed associations with 30-day mortality (P &lt; 0.05). CONCLUSIONS: CURB-65, STSS and PMEWS scores are useful for predicting mortality, ICU admission and MV need among patients diagnosed with COVID-19 pneumonia. Advanced age, increased respiratory rate, low SpO2 and prolonged ED length of stay may increase mortality. Further studies are needed for developing the triage scoring systems, to ensure effective long-term use of healthcare service capacity during pandemics.
DOI: 10.6084/m9.figshare.14306374.v1
title: Popular knowledge of stroke in São Paulo: a cross-sectional study within the World Stroke Campaign

description: ABSTRACT BACKGROUND: Stroke is the second leading cause of death in Brazil and the main cause of disability. Inability to identify alarm signals causes delays in seeking emergency services, thereby leading to a worse prognosis. OBJECTIVES: To assess the population's knowledge of how to recognize and prevent stroke. DESIGN AND SETTING: Prospective cross-sectional study on data derived from a questionnaire that was administered during the 2016 World Stroke Campaign, launched in the city of São Paulo, Brazil. METHODS: Data on 806 interviewees were evaluated using descriptive statistics and univariate and multivariate analyses. RESULTS: Among all the interviewees, 52.1% knew how to conceptualize stroke; 70.07% knew someone who had suffered a stroke; and 29.03% listed three or more risk factors. Only 27.5% mentioned controlling high blood pressure as a preventive measure. In the event of witnessing a stroke, 57.8% would call the emergency service and 2.9% would check the timing. Less educated individuals were 5.6 times more likely (95% confidence interval, CI 3.45-9.02) to have poor knowledge of stroke, compared with the more educated group. Knowing someone who had had a stroke reduced the chances of not knowing the terms relating to the disease (odds ratio, OR = 0.56; 95% CI 0.4-0.78). CONCLUSIONS: Despite the severity and prevalence of stroke, the population still has little information on this disease. In this context, the importance of mounting campaigns to improve prevention and treatment and to contribute to healthcare policies becomes evident.
DOI: 10.6084/m9.figshare.14306370.v1
title: Analysis of scientific production on the new coronavirus (COVID-19): a bibliometric analysis

description: ABSTRACT BACKGROUND: The pandemic of the new coronavirus has culminated in a scientific race to seek knowledge about this virus and its treatments, vaccines and preventive strategies, in order to reduce its impact on healthcare and economics worldwide. Hence, it is important to recognize the efforts of researchers who are at the forefront of investigations relating to the new coronavirus. OBJECTIVE: The present study was carried out with the aim of analyzing the world scientific production relating to COVID-19. DESIGN AND SETTING: Exploratory and descriptive bibliometric study conducted in the city of Teresina (PI), Brazil. METHOD: ISI Web of Knowledge/Web of Science (WOS) was chosen as the database. Data-gathering was carried out in May 2020. The data analysis was performed using the HistCiteTM software, version 9.8.24, and the VOSviewer bibliometric analysis software, version 1.6.8. RESULTS: 2,625 published papers that included descriptors within the scope of this investigation were identified. These articles were published in 859 different journals that are indexed in WOS, by 9,791 authors who were linked to 3,365 research institutions, located in 105 countries. CONCLUSION: Ascertaining scientific production through a bibliometric analysis is important in order to guide researchers on what has already been produced and what is being researched, so as to be able to address gaps in knowledge through future research.