Miracle-dz/UniFAR-FTUs huggingface dataset:
The Revised Champion’s Health Belief Model Scale: Predictive Validity Among Brazilian Women

Introduction Mammography screening is provided free of charge for the recommended target population in Brazil but participation rates have remained low, and breast cancer mortality has continued to increase. Thus, it is important to identify factors that are associated with poor participation in mammography screening so that service providers can target health promotion messages and screening programs more effectively. Objective: To evaluate the predictive validity of the Revised Champion’s Health Belief Model scale (RCHBMS) for identifying women at high risk of not adhering to national guidelines for mammography screening in Brazil. Methods: We used a longitudinal survey design with a 1-year follow-up data from 194 women living in northeastern Brazil, in the city of Fortaleza, Ceará, participants completed the RCHBMS at baseline, and mammography uptake was measured 1 year later. Hierarchical logistic regression was used to determine the predictive validity of the RCHBMS for identifying women who had not adhered to recommendations for mammography screening, after accounting for the women’s sociodemographic and clinical characteristics. The sensitivity and specificity of various cut-off points were calculated to determine the optimal cut-off point for identifying women at high risk of not adhering to mammography screening guidelines. Results: Two subscales of the RCHBMS uniquely predicted nonadherence: susceptibility and barriers, along with race and family history of cancer. The total scale score (with barriers reverse coded) was also highly predictive. For our sample, using only the RCHBMS with a cutoff of ≤ 3.67 (out of a total possible range of 1–5) yielded a high sensitivity and specificity for predicting nonadherence. Conclusion: Study findings support the validity and clinical utility of the RCHBM for identifying women at risk of not adhering to national guidelines for mammography screening in Brazil.
A Review of Authenticity and Authentication of Commercial Ginseng Herbal Medicines and Food Supplements

Ginseng traditional medicines and food supplements are the globally top selling herbal products. Panax ginseng, Panax quinquefolius and Panax notoginseng are the main commercial ginseng species in herbal medicine. Prices of ginseng products vary widely based on the species, quality, and purity of the used ginseng, and this provides a strong driver for intentional adulteration. Our systematic literature search has reviewed the authenticity results of 507 ginseng-containing commercial herbal products sold in 12 countries scattered across six continents. The analysis of the botanical and chemical identity of all these products shows that 76% are authentic while 24% were reported as adulterated. The number of commercial products as well as the percentage of adulteration varies significantly between continents, being highest in South America (100%) and Australia (75%), and lower in Europe (35%), North America (23%), Asia (21%) and Africa (0%). At a national level, from the five countries for which more than 10 products have been successfully authenticated, the highest percentage of adulterated ginseng products were purchased from Taiwan (49%), followed by Italy (37%), China (21%), and USA (12%), while all products bought in South Korea were reported to be authentic. In most cases, labeled Panax species were substituted with other Panax species, but substitution of ginseng root, the medicinally recommended plant part, with leaves, stems or flowers was also reported. Efficient and practical authentication using biomarkers to distinguish the main ginseng varieties and secondary metabolite spectra for age determination are essential to combat adulteration in the global marketplace.
Toward an integrated framework for assessing micropollutants in marine mammals: Challenges, progress, and opportunities

Abstract As apex predators, marine mammals play a key role in maintaining community structure and functioning in marine ecosystems. Hence, a decline in marine mammal populations may have negative effects on the ecosystem function and services. The discharge of anthropogenic chemicals and particles (micropollutants) into the marine environment threatens the health of marine mammals. Traditional approaches for assessing the impact of micropollutants on marine mammal populations are limited by the complexity of micropollutants (e.g., low concentrations, unknown contaminants, transformation products, and mixture effect) and marine mammals (e.g., complex physiology, life history, multiple stressors, and logistical challenges) in the environment. Recently developed (bio)analytical tools that can integrate chemical and biological assessment such as non-target and suspect screening, direct effect analysis, and multiomics (e.g., metabolomics, lipidomics, proteomics, and transcriptomics) can offer critical insights into (i) the health risks of ‘known’ and ‘unknown’ micropollutants in marine mammals, (ii) the link between exposure and population effects, and (iii) identification of priority micropollutants. This review highlights the challenges and current progress in assessing the health risk posed by micropollutants to marine mammals. A tired integrated chemical-ecological-biological framework developed from current research practices is offered for effective assessment of micropollutant risk in marine mammals. Graphical Abstract
Sustainable Political Social Media Marketing: Effects of Structural Features in Plain Text Messages

The success of Barack Obama’s 2008 U.S. presidential campaign led politicians and voters all over the world to pay attention to social media. Including Donald Trump for his upcoming 2020 re-election, many politicians around the world have used social media for their political campaigns. While some social media can deliver information in various forms (i.e., video, audio, and interactive content), some popular ones, such as Twitter, are still focused mostly on plain text messaging. With political marketing using simple text messages via social media, there is a need to examine ways of creating messages that ultimately help shape voters’ perception of politicians and eventually win the election. Based on communication science, this study attempts to test the limited capacity model of motivated mediated message processing by examining whether this model can be applied to the simplest form of mediated message, which is plain text. In order to do so, structural features of text messages exchanged on social media engaged in political campaigns, namely linguistic formality and network-mediated human interactivity, are manipulated in an experiment. Findings suggest that linguistic formality and human interaction in plain text messages influence perceived friendliness, truthfulness, and dependability of the message source (politicians), as well as the receivers’ (constituents’) behavioral intent to vote for the message source in an upcoming election. This implies that politicians should pay more attention on sustainable political marketing through appropriate manipulation of structural features in social media messages.
Exceptional Tropical Cyclone Kenneth in the Far Northern Mozambique Channel and Ocean Eddy Influences

During summer 2018/2019, Mozambique was devastated by Idai and Kenneth, the first time two Intense Status tropical cyclones have ever made landfall here. The season broke numerous records for the Southwest Indian Ocean (the greatest deaths, the largest damage, and numbers of Intense Status cyclones and tropical storms). Kenneth, which is the strongest cyclone ever to make landfall in Mozambique, did so unusually late in the season, had an unusual due westward track and struck the coast far further north than previously, is examined. Changes in Kenneth's strength (21–25 April 2019) across the extreme northern Mozambique Channel are shown to be related to two cyclonic/anticyclonic eddy pairs in the ocean. These eddies led to changes in SST, enthalpy fluxes, tropical cyclone heat potential, and upper ocean heat content that influenced its rapid strengthening from moderate tropical storm to Very Intense tropical cyclone status and then back to Intense Status just before landfall.
YOLOv3: Face Detection in Complex Environments

Face detection has been well studied for many years. However, the problem of face detection in complex environments is still being studied. In complex environments, faces is often blocked and blurred. This article proposes applying YOLOv3 to face detection problems in complex environments. First, we will re-cluster the data set in order to find the most suitable a priori box. Then we set multiple score values to make it possible to predict the results of multiple sets of images and find the optimal score value. Experimental results show that after adjustment, the model has more advantages in face detection than the original model in complex environments. The average accuracy is more than 10% higher than that of aggregate channel feature ( ACF), Tow-stage convolutional neural network (CNN) and multi-scale Cascade CNN in face detection benchmarks WIDER FACE. Our code is available in: git@github.com:Mrtake/-complex–scenes-faceYOLOv3.git © 2020 The Authors . Published by Atlantis Press B.V. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES

Abstract. In order to reach the goal of reliably solving Earth monitoring tasks, automated and efficient machine learning methods are necessary for large-scale scene analysis and interpretation. A typical bottleneck of supervised learning approaches is the availability of accurate (manually) labeled training data, which is particularly important to train state-of-the-art (deep) learning methods. We present SemCity Toulouse, a publicly available, very high resolution, multi-spectral benchmark data set for training and evaluation of sophisticated machine learning models. The benchmark acts as test bed for single building instance segmentation which has been rarely considered before in densely built urban areas. Additional information is provided in the form of a multi-class semantic segmentation annotation covering the same area plus an adjacent area 3 times larger. The data set addresses interested researchers from various communities such as photogrammetry and remote sensing, but also computer vision and machine learning.
Off-Design Analysis of a Supercritical CO2 Brayton Cycle with Ambient Air as the Cold Source Driven by Waste Heat from Gas Turbine

Abstract Utilizing energy efficiently could greatly relieve current energy crisis. Therefore, in this article, a simple supercritical CO2 Brayton cycle for waste heat recovery from gas turbine is presented. The system uses ambient air as its cold source, which is more convenient and economic. Considering temperature difference between heat source and turbine inlet, it is of great significance to research the effects of turbine inlet temperature on the system performance due to the high temperature range of the exhaust gas from gas turbine. For this purpose, a control strategy is proposed and a mathematical model is established on off-design conditions to predict system performance when turbine inlet temperature increases from 673.15 K to 773.15 K. Results indicate that both turbine power output and system net power output increase with the rise of turbine inlet temperature, as well as total heat transfer in heater and cooler. Furthermore, the system thermal efficiency also increases until it becomes maximum on design point. In addition, the efficiency of turbomachinery varies slightly.
Responses to progressive exercise in subjects with chronic dyspnea and inspiratory muscle weakness

Inspiratory muscle weakness (IMW) is a potential cause of exertional dyspnea frequently under‐appreciated in clinical practice. Cardiopulmonary exercise testing (CPET) is usually requested as part of the work‐up for unexplained breathlessness, but the specific pattern of exercise responses ascribed to IMW is insufficiently characterized.
Selecting the Optimal Green Agricultural Products Supplier: A Novel Approach Based on GBWM and PROMETHEE II

Due to the uncertainty of natural factors and a larger global population, the work of supplying sustainable agricultural materials, especially green agricultural products, faces enormous challenges. How to effectively evaluate and select the most desirable green agricultural material supplier is an urgent issue for both agribusiness and government. In this paper, an integrated q-rung orthopair fuzzy (q-ROF) group best–worst method (GBWM) and the PROMETHEE II was introduced to availably solve such issue. Firstly, by taking similarity degree into account to solve incomplete weight information, a novel technique was constructed to determine the experts’ weight reasonably under the q-ROF context. Secondly, to improve consistency for group decision making and obtain a highly reliable selection result, the GBWM was used to derive criteria weights. Then, based on the proposed generalized p-norm knowledge-based score function, the PROMETHEE II was further improved to rank the feasible alternatives. After that, a representative case under the background of green agricultural material supplier selection was investigated in depth. Finally, the detailed comparative technique was conducted to verify the validity and superiority of the improved method.
Caregivers' Experiences of Aggressive Persons with Schizophrenia

Background: Understanding the caregivers’ experiences of aggressive persons with mental disorders is very important from the public health point of view. Only a few Indian studies have focused on this. No Indian studies could be found that explored the caregivers’ experiences of aggressive persons with schizophrenia. This study was conducted to explore the same. Methods: A qualitative phenomenological study was conducted in the outpatient and inpatient settings at a tertiary care mental health institute at Bengaluru, Karnataka. Ten participants meeting the eligibility criteria were selected using purposive sampling. Data collection was done by individual, in-depth, face-to-face, semi-structured interviews using topic guide along with subjective observation and field notes. Each interview was audio-recorded, transcribed, translated, and coded. A total of five master themes and 22 subthemes were derived from the codes by using the qualitative research software ATLAS-Ti. Results: The themes derived based on the experiences of caregivers living with their aggressive persons with schizophrenia were the aggressive behaviors of the patients, reasons for the aggression of the patients, dealing with the aggression of the patients, the impact of aggression on the caregivers, and the coping methods of the caregivers. Conclusion: This study explored the experiences of the caregivers living with the aggressive patients. The results show the need for care and support to the caregivers. The themes can guide mental health professionals while developing culture-specific tools and interventions for future research as well as suggest them standard operating procedures for prevention and management of aggressive patients in the psychiatric hospitals.
COVID-19: Understanding the Enemy, the Battle Fought So Far, and the Battle Still to Wage!

Together with the severe acute respiratory syndrome (SARS) coronavirus which threatened as pandemic in 2002–2003 and the MERS (Middle East respiratory syndrome) which was notified in 2012, the current and novel pathogen–novel coronavirus 2019 is the third highly pathogenic human coronavirus that has emerged in the last two decades and is exhibiting rapid survival tactics including transmissibility. Subsequent to its emergence, there has been an outpouring of information and data in the medical and nonmedical literature. The information is also so dynamic that the validity of information, especially the morbidity and mortality data become outdated everyday. This review aims at providing the overview about the agent and the epidemiological similarities and differences between the current novel coronavirus and the previous member of the family, the SARS-CoV and shared thoughts about what to be done further!
A Novel Method for Estimating Throwing Speed in Handball using a Wearable Device

Understanding the shoulder-specific load in handball is important for both prevention and rehabilitation of shoulder injuries. The shoulder-specific load is largely a result of the number and speed of throws. However, it is difficult to quantify number and speed of throws in handball due to limitations in the current technology. Therefore, the purpose of this study was to develop a novel method to estimate throwing speed in handball using a low-cost accelerometer-based device. Nineteen experienced handball players each performed 25 throws of varying types while we measured the acceleration of the wrist using the accelerometer and the throwing speed using 3D motion capture. Using cross-validation, we developed four prediction models using combinations of the logarithm of the peak total acceleration, sex and throwing type as the predictor and the throwing speed as the outcome. We found that all models were well-calibrated (mean calibration of all models: 0.0 m/s, calibration slope range: 0.99-1.00) and precise (R2 = 0.71-0.85, mean absolute error = 1.32-1.82 m/s). We conclude that the developed method appear to provide practitioners and researchers with a feasible and cheap method to estimate throwing speeds in handball.
Burnout in teaching activity: evidence of a study involving higher education institutions

The present research has the objective of investigating a relationship of the social, institutional and emotional aspects with Burnout syndrome incidence in teachers of higher education institutions in the city of Mossoro, RN. We chose a descriptive, quantitative research, and descriptive and inferential statistics, using Pearson's analysis as a statistical technique. A sample was attended by 103 teachers from three higher education institutions in the city of Mossoro. The results showed that among the investigated teachers, 43.7% had high levels of emotional exhaustion, 22.3% manifested levels of depersonalization, and 53.4% pointed of low professional achievement, generally revealing that 41% of respondents are a strong trend towards the development of a syndrome. Regarding correlations, among the analyzed aspects, all evidenced variables that showed a significant correlation. In this way, it can be inferred that the syndrome is multicausal.
Prediction of early compressive strength of mortars at different curing temperature and relative humidity by a modified maturity method

This paper presents an experimental and modeling study on the influence of curing temperature (T) and relative humidity (RH) on the development of early‐age compressive strength of cement mortars. By introducing an RH factor γRH into the age conversion factor of concrete, a modified maturity function was proposed considering both effects of T and RH on the mechanical properties of mortars. Test results proved that T and RH both had a considerable effect on the compressive strength of mortars, especially at the later stage of curing. The RH factor γRH increased as curing RH of mortars, and decreased with their curing age when the mortars were under an unsaturated state. The results also show that the factor γRH could be formulated by a modified hyperbola function. With the proposed RH modified maturity function, the prediction of compressive strength was verified having a high consistency with the experimental results.
Développement d’une méthode de fractionnement par couplage flux force (FFF) multi détection pour la caractérisation de colloïdes naturels

Les colloides naturels ont une place preponderante dans les processus environnementaux. Ils peuvent etre des vecteurs de polluants et jouent un grand role dans les cycles biogeochimiques des elements. L’etude des colloides est pendant longtemps restee confidentielle et peu developpee du fait d’un manque d’outils analytiques adaptes. Les travaux menes durant cette these concernent le developpement de conditions analytiques pour l’analyse et le fractionnement par As-Fl-FFF (Asymmetrical Flow- Field Flow Fractionation) de deux grandes familles de colloides naturels : les nanoparticules et les acides humiques. Cette technique de fractionnement est associee a plusieurs detecteurs : Ultraviolet/Visible et a diffusion de la lumiere (MALLS). Le suivi et la quantification des elements associes aux colloides durant le fractionnement ont egalement ete rendus possibles grâce au couplage avec le spectrometre de masse a couplage inductif (ICP-MS). Enfin, une approche originale combinant fractionnement physique des colloides d’un lixiviat de decharge et speciation de l’etain associe aux differentes fractions colloidales a egalement ete realisee. Cette approche a permis de montrer la potentialite et l’importance d’une prise en compte de la phase colloidale lors d’analyses environnementales.
ErbB Ligands in Angiogenesis

The formation of new blood vessels, i.e. angiogenesis, is an important phenomenon during normal development and wound repair, as well as during various pathological processes, such as tumor growth and metastasis. Specific growth factors regulate angiogenesis by modulating the different cellular functions of endothelial cells (EC), and periendothelial cells, such as pericytes (PC) and smooth muscle cells (SMC), which interact with ECs in a paracrine manner. ErbB receptors form a subgroup of transmembrane receptor tyrosine kinases that interact with growth factors of the epidermal growth factor (EGF) family. ErbB receptors regulate behaviour of a variety of normal as well as tumor cell types. Cancer drugs that target epidermal growth factor receptor (EGFR, ErbB1) or ErbB2 receptor have been approved for clinical use. It has been speculated that part of the antitumor activity of ErbB inhibitor compounds result from an antiangiogenic mechanism. The results presented here indicate a role for endothelial-derived EGF-like growth factors heparin binding EGF-like growth factor (HB-EGF) and neuregulin-1 (NRG-1) in the paracrine regulation of angiogenesis. HB-EGF, EGFR and ErbB2 are shown to mediate interaction between ECs and SMCs in vitro, and gefitinib, an inhibitor of EGFR kinase activity, suppresses recruitment of PCs/SMCs in vivo. NRG-1 is shown to regulate EC functions in vitro and angiogenesis in vivo by indirect mechanisms involving vascular endothelial growth factor-A (VEGF-A) and VEGF receptor-2 (VEGFR-2). Furthermore, EGFR activity is demonstrated to regulate recruitment of bone marrow-derived perivascular cells during tumor neovascularization in vivo. These results indicate that ErbB signaling is involved in the cellular processes of new blood vessel formation. This study gives new information about the role of ErbB ligands and receptors in angiogenesis and vasculogenesis and about the mechanisms by which ErbB inhibitor drugs such as gefitinib affect tumor growth.