Miracle-dz/UniFAR-FTUs huggingface dataset:
A POLÍTICA NACIONAL DE SAÚDE DO HOMEM E OS DESAFIOS DE SUA IMPLEMENTAÇÃO NA ATENÇÃO PRIMÁRIA À SAUDE

A atuacao do enfermeiro na politica do homem se baseia na educacao em saude, por meio de acoes educativas respeitando as caracteristicas de sua populacao adscrita. Destaca-se varios fatores impeditivos: o preconceito, o machismo, a falta de tempo, crencas, valores culturais e impossibilidade de se ausentar do trabalho. Cabe ressaltar que estao associados tambem a falta de educacao continuada para os profissionais de saude, e a falta de estrutura fisica adequada para atender as particularidades desta populacao. Dessa forma, e imprescindivel transpor barreiras politicas, socioeconomicas e culturais, para fortalecer e promover a implantacao e implementacao da Politica Nacional de Atencao Integral a da Saude do Homem no territorio nacional.
Estuarine Ecology of Juvenile Salmon in Western Alaska: a Review

—In the late 1990s and early 2000s, large declines in numbers of chum salmon Oncorhynchus keta and Chinook salmon O. tshawytscha returning to the Arctic-YukonKuskokwim (AYK) region (Alaska, USA) illuminated the need for an improved understanding of the variables controlling salmon abundance at all life stages. In addressing questions about salmon abundance, large gaps in our knowledge of basic salmon life history and the critical early marine life stage were revealed. In this paper, results from studies conducted on the estuarine ecology of juvenile salmon in western Alaska are summarized and compared, emphasizing timing and distribution during outmigration, environmental conditions, age and growth, feeding, and energy content of salmon smolts. In western Alaska, water temperature dramatically changes with season, ranging from 0°C after ice melt in late spring/early summer to 19°C in July. Juvenile salmon were found in AYK estuaries from early May until August or September, but to date no information is available on their residence duration or survival probability. Chum salmon were the most abundant juvenile salmon reported, ranging in percent catch from <0.1% to 4.7% and most research effort has focused on this species. Abundances of Chinook salmon, sockeye salmon O. nerka, and pink salmon O. gorbuscha varied among estuaries, while coho salmon O. kisutch juveniles were consistently rare, never amounting to more than 0.8% of the catch. Dietary composition of juvenile salmon was highly variable and a shift was commonly reported from epibenthic and neustonic prey in lower salinity water to pelagic prey in higher salinity water. Gaps in the knowledge of AYK salmon estuarine ecology are still evident. For example, data on outmigration patterns and residence timing and duration, rearing conditions and their effect on diet, growth, and survival are often completely lacking or available only for few selected years and sites. Filling gaps in knowledge concerning salmon use and survival in estuarine and near-shore habitats within the AYK region will aid in assessing the relative roles of all habitats (freshwater to marine) in controlling salmon abundance. 184 Hillgruber and Zimmerman
A cynomolgus monkey model of carotid atherosclerosis induced by puncturing and scratching of the carotid artery combined with a high-fat diet

Cardio-cerebrovascular disease is one of the three major causes of mortality in humans and constitutes a major socioeconomic burden. Carotid atherosclerosis (CAS) is a very common lesion of the arterial walls, which leads to narrowing of the arteries, in some cases occluding them entirely, increasing the risk of cardiovascular events. The aim of the present study was to evaluate a cynomolgus monkey model of carotid atherosclerosis (CAS) induced by puncturing and scratching combined with a high-fat diet. A total of 12 cynomolgus monkeys were randomly divided into four groups: A, puncturing and scratching carotid artery intimas + high-fat diet (n=3); B, puncturing and scratching carotid artery intimas + regular diet (n=3); C, high-fat diet only (n=3); and D, regular diet only (n=3). Blood was harvested at weeks 4, 6 and 8 and plasma lipid levels were assessed. At week 8, monkeys were sacrificed and carotid arteries were harvested for hematoxylin and eosin (H&E) staining to observe pathological changes. The results revealed that a high-fat diet led to increased plasma lipid levels and accelerated plaque formation. Carotid color Doppler ultrasonography was performed and, along with H&E staining, revealed plaque formation in group A. In summary, the results of the present study suggest that a cynomolgus monkey model of CAS model may be successfully constructed by puncturing and scratching of the carotid artery intimas in combination with a high-fat diet.
UP!: Engineering Persuasive Interactive

Persuasive technology aims at supporting people to change their attitudes and/or behaviors sustainably. Application areas include energy saving, green mobility, medical observance, addiction, etc. Emergency to solve these societal challenges makes the field meet a great success. We propose UP! , a problem space to structure the exploration of the design space, an increment to the SEPIA framework. UP! combines two perspectives, the User and the Phenomenon under study, so that to create the right system that makes the user understand the problematic phenomenon and act appropriately to change sustainably.
Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs

Among various data aggregation approaches proposed for wireless sensor networks (WSNs), the one based on <italic>compressive sensing</italic> (CS) has the merit of low traffic cost. The key step to design a CS-based data aggregation protocol is to construct a measurement matrix <inline-formula> <tex-math notation="LaTeX">${\Phi }$ </tex-math></inline-formula> based on the network structure and to assign each node a unique column vector of <inline-formula> <tex-math notation="LaTeX">${\Phi }$ </tex-math></inline-formula>. Assuming an expanded scenario, where some new nodes join in the network, the data aggregation scheme has to entirely re-generate a new matrix <inline-formula> <tex-math notation="LaTeX">${\Phi ^{\prime }}$ </tex-math></inline-formula> with a larger size to meet the node number and CS property simultaneously. Apparently, it is energy-consuming to reallocate the weight vectors from the new measurement matrix to all the nodes. Thus, we propose an approach which aims to keep the weight vectors of existing sensors unchanged but assign only optimized measurement vectors to the newly added nodes. In order to solve the relevant non-convex optimization problem, two efficient methods with good data aggregation performance are proposed. Numeric experiments validate the effectiveness of our proposed methods.
A study of social media users' perceptional typologies and relationships to self-identity and personality

Purpose The purpose of this paper is to explore and describe different viewpoints on the use of social networking sites (SNSs). It analyzes perceptional typologies of SNS users and the characteristics of each type, which has similarities and differences. It also examined possible relationships among different perceptional types, users’ self-identities, and their personality. Design/methodology/approach This study utilized Q-methodology in order to identify diverse explanations of SNS users’ perspectives. Q-methodology requires participants (referred to as P sample) to sort a series of items (Q-statements). After completing a questionnaire including demographics, self-identity, etc., each respondent performed the Q-sorting work. This task involves sorting well-composed statements about SNSs (Q-sample). In all, 46 SNS users from a university in Korea were chosen as participants. Once the P sample had finished Q-sorting, participants had in-depth interviews. When all interviews were finalized, analysis of the Q-sorts was done with the help of QUNAL program. Findings Consequently, four types of SNS users were identified and given the following descriptive labels: Impression Management Type, Lurker Type, SNS Enjoyer and Relationship Focus Type, and Social Value Orientation Type. Further, there was a significant difference in “Relational Identity” among user types. Regarding personality, the extraversion of Type III appeared to be the highest, and the extraversion of Type II appeared to be the lowest. Originality/value Combining aspects of both qualitative and quantitative research to study the subjectivity, the findings of this study provide insight for further research regarding an audience study or an examination of the media behaviors of SNSs. It also suggests theoretical and practical implications.
Risk prediction of type 2 diabetes using common and rare variants

The recent development of next generation sequencing technology has led to the identification of several disease-related genetic variants. In this study, we systematically compare the performance of prediction models using common and rare variants from the Whole Exome Sequencing data of the Type 2 Diabetes Genetic Exploration by Next generation sequencing in multi-ethnic samples. We evaluated several methods for predicting binary phenotypes such as Stepwise Logistic Regression, Penalised Regression and Support Vector Machine (SVM). We first constructed prediction models by combining variable selection and prediction methods for Type 2 Diabetes. We then calculated the Area Under the Curve (AUC) to compare the performance of the prediction models. The results indicate that the performance of the common and rare variants combination was better than either that of the common variants only or the rare variants only. Further, the AUC values of SVM were always larger than those of other prediction models.
Electrodeposition of Cu doped ZnS and evaluation of its photocatalytic property

These days, development of new photocatalyst materials have been interested, which can absorb visible light and have photocatalytic activities towards various reaction. In this study, we focused on ZnS as a new photocatalyst material. We prepared ZnS by electrodeposition. At first, we tried to synthesis ZnS with different electrolytic bathes in terms of additive composition and pH. Comparing the properties of samples, the best bath condition was containing EDTA and adjusting pH to 2.00. Secondly, we tried to make the band gap energy of ZnS small by Cu doping. We prepared 3 different bathes in terms of the concentration of Cu; the ratio of Cu to Zn was 1 mol%, 5 mol% and 10 mol% (Cu1, Cu5 and Cu10). The band gap energy of the samples were 2.6 eV, 2.8 eV and 2.4 eV, respectively. The bandgap energy of ZnS without Cu was 3.6 eV, so we assumed that Cu played the role of making band gap energy narrow. According to the XPS analysis, the chemical state of Cu was Cu(metal), CuO, CuS, Cu2O and Cu2S. The chemical state of Zn was Zn(metal), ZnO, ZnS, and Cu10 contains larger amount of ZnS than Cu1 and Cu5. The results of cyclic voltammetory implied that formation of ZnS was suppressed in Cu1 and Cu5. Band gap energy of Cu doped ZnS was 2.8 eV for Cu1, 2.4 eV for Cu5 and 2.6 eV for Cu10, and all of them can absorb visible light(λ < 500 nm). The conduction band potential of Cu1, Cu5 and Cu10 was more highly negative than TiO2 one. It implies that Cu doped ZnS would have stronger phothocatalytic activity for reduction than TiO2 one.
PTPσ Drives Excitatory Presynaptic Assembly via Various Extracellular and Intracellular Mechanisms

Leukocyte common antigen-receptor protein tyrosine phosphatases (LAR-RPTPs) are hub proteins that organize excitatory and inhibitory synapse development through binding to various extracellular ligands. Here, we report that knockdown (KD) of the LAR-RPTP family member PTPσ reduced excitatory synapse number and transmission in cultured rat hippocampal neurons, whereas KD of PTPδ produced comparable decreases at inhibitory synapses, in both cases without altering expression levels of interacting proteins. An extensive series of rescue experiments revealed that extracellular interactions of PTPσ with Slitrks are important for excitatory synapse development. These experiments further showed that the intracellular D2 domain of PTPσ is required for induction of heterologous synapse formation by Slitrk1 or TrkC, suggesting that interaction of LAR-RPTPs with distinct intracellular presynaptic proteins, drives presynaptic machinery assembly. Consistent with this, double-KD of liprin-α2 and -α3 or KD of PTPσ substrates (N-cadherin and p250RhoGAP) in neurons inhibited Slitrk6-induced, PTPσ-mediated heterologous synapse formation activity. We propose a synaptogenesis model in presynaptic neurons involving LAR-RPTP-organized retrograde signaling cascades, in which both extracellular and intracellular mechanisms are critical in orchestrating distinct synapse types. SIGNIFICANCE STATEMENT In this study, we sought to test the unproven hypothesis that PTPσ and PTPδ are required for excitatory and inhibitory synapse formation/transmission, respectively, in cultured hippocampal neurons, using knockdown-based loss-of-function analyses. We further performed extensive structure–function analyses, focusing on PTPσ-mediated actions, to address the mechanisms of presynaptic assembly at excitatory synaptic sites. Using interdisciplinary approaches, we systematically applied a varied set of PTPσ deletion variants, point mutants, and splice variants to demonstrate that both extracellular and intracellular mechanisms are involved in organizing presynaptic assembly. Strikingly, extracellular interactions of PTPσ with heparan sulfates and Slitrks, intracellular interactions of PTPσ with liprin-α and its associated proteins through the D2 domain, as well as distinct substrates are all critical.
Phase Diagram of Star Polymer Solutions

The phase diagram of star polymer solutions in a good solvent is obtained over a wide range of densities and arm numbers by Monte Carlo simulations. The effective interaction between the stars is modeled by an ultrasoft pair potential which is logarithmic in the core-core distance. Among the stable phases are a fluid as well as body-centered cubic, face-centered cubic, body-centered orthogonal, and diamond crystals. In a limited range of arm numbers, reentrant melting and reentrant freezing transitions occur for increasing density.
The Effectiveness of Contextual Competitive Targeting in Conjunction with Promotional Incentives

ABSTRACT Advancements in Internet technologies have enabled firms to engage in contextual competitive targeting (CCT); that is, the targeted online advertising practice of contextually identifying and poaching prospective customers of competitors. On the basis of two field quasi-experiment studies conducted with Google’s AdSense contextual targeting platform, this article shows that compared to generate targeting, CCT poaching is more effective in raising ad click-through rates (CTRs), but not in inducing conversion rates. Furthermore, promotional incentives can boost CCT’s effects on CTRs, but not conversion rates. The article’s follow-up laboratory survey reveals the reasons for the findings. That is, offering a promotional incentive in CCT ads can arouse customers’ curiosity and thus strengthen the effects of CCT on CTRs. Yet this heightened curiosity does not expand CCT’s effects on conversions because of customer loyalty to the competitor being poached. Collectively the findings suggest different strategies for firms contemplating CCT. When the objective is to attract competitors’ customers to increase their chance of future defect, adding promotional incentives may enhance CCT effectiveness. But when conversion is the main concern, managers can save promotional dollars as CCT poaching induces more sales conversions with less of such incentives.
Hyperspectral remote sensing of fire : state-ofthe-art and future perspectives 1

22 Fire is a widespread Earth system process with important carbon and climate feedbacks. 23 Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire 24 and fire effects, which has significantly improved our understanding of interactions between 25 BNL-205776-2018-JAAM
Clinical analysis and follow up study of pulmonary artery sling in childhood and risk factors associated with mortality in nonsurgical patients

Aim: We aimed to evaluate clinical characteristics and therapeutic strategies of pulmonary artery sling (PAS) in pediatric patients and explore its risk factors for mortality in non-surgically treated children. Methods: A retrospective review of 74 patients diagnosed with PAS followed up at Guangzhou Women and Children’s Medical Center from January 2011 to January 2017. For each patient, data of demographics as well as clinical presentations, imaging characteristics, family medical records, laboratory observations, treatment protocols, and outcomes were reviewed and analyzed. Results: The study group consisted of 43 boys and 31 girls (male/female ratio 1.4:1.0). The age at onset ranged from birth to 48 months (mean 3.92 months). Age at diagnosis ranged from 1 day after birth to 84 months (mean 9.23 months). Of the 74 patients, 46 underwent surgery in our hospital. The median age of surgical patients was 5.5 months (range 3-13.25 months). Regarding surgical outcome, 44 PAS children survived and 2 died, postoperatively. In the non-surgical group, 13 children died in the hospital or shortly after abandoning treatment post-discharge. Deceased patients in the non-surgical group were more likely to be younger at onset than surviving patients (P<0.05 for comparisons). Conclusions: Surgical procedures are an important and effective means of relieving left pulmonary artery compression and potentially achieving a better curative effect. Only early onset significantly influenced mortality in non-surgical patients with PAS. Patient age at the time of surgery needs to be further explored.
2,4-dichlorophenoxyacetic acid-induced oxidative stress: Metabolome and membrane modifications in Umbelopsis isabellina, a herbicide degrader

The study reports the response to herbicide of the 2,4-dichlorophenoxyacetic acid (2,4-D)–degrading fungal strain Umbelopsis isabellina. A comparative analysis covered 41 free amino acids as well as 140 lipid species of fatty acids, phospholipids, acylglycerols, sphingolipids, and sterols. 2,4-D presence led to a decrease in fungal catalase activity, associated with a higher amount of thiobarbituric acid-reactive substances (TBARS). Damage to cells treated with the herbicide resulted in increased membrane permeability and decreased membrane fluidity. Detailed lipidomic profiling showed changes in the fatty acids composition such as an increase in the level of linoleic acid (C18:2). Moreover, an increase in the phosphatidylethanolamine/phosphatidylcholine ratio was observed. Analysis of fungal lipid profiles revealed that the presence of 2,4-D was accompanied by the accumulation of triacylglycerols, a decrease in ergosterol content, and a considerable rise in the level of sphingolipid ceramides. In the exponential phase of growth, increased levels of leucine, glycine, serine, asparagine, and hydroxyproline were found. The results obtained in our study confirmed that in the cultures of U. isabellina oxidative stress was caused by 2,4-D. The herbicide itself forced changes not only to membrane lipids but also to neutral lipids and amino acids, as the difference of tested compounds profiles between 2,4-D—containing and control samples was consequently lower as the pesticide degradation progressed. The presented findings may have a significant impact on the basic understanding of 2,4-D biodegradation and may be applied for process optimization on metabolomic and lipidomic levels.
The effectiveness of multi-dimensional resilience rehabilitation programs after traumatic physical injuries: a systematic review and meta-analysis

Abstract Objective: To synthesize evidence of the effectiveness of socio-ecological resilience rehabilitation programs on returning to work (RTW), self-efficacy, and stress mitigation following traumatic physical injuries. Methods: PubMed, Scopus, Proquest, Cinahl, Web of Science, Clinical Trials Database, and the Cochrane Central Register of Controlled Trials databases were searched. Methodological quality was assessed using the PEDro tool. Study selection: Randomized interventions aimed at promoting resilience. Data extraction: Twenty one studies were reviewed (11,904 participants). Data from 19 studies of high methodological quality were pooled using a random-effects meta-analysis. Mean differences for continuous outcomes and risk ratios for binary outcomes were calculated. Data synthesis: Resilience rehabilitation programs significantly increased the likelihood of ever RTW (OR 2.09, 95% CI 0.99–4.44, p = 0.05), decreased the number of days taken to return to work (mean difference –7.80, 95% CI –13.16 to –2.45, p ≤ 0.001), and increased total self-efficacy scores (mean difference 5.19, 95% CI 3.12–7.26, p < 0.001). Subgroup analyses found that favorable return to work outcomes resulted from programs involving workplace support (p < 0.001) and for people with musculoskeletal or orthopedic injuries (p = 0.02). Conclusions: Compared to rehabilitation programs providing standard care following injuries, programs aimed at developing resilience could improve reemployment outcomes and self-efficacy. Implications for rehabilitation Individual resilience may be an important factor promoting functional recovery after traumatic injury. Resilience rehabilitation programs are effective in enabling patients’ return to work and increasing their self efficacy. In particular, programs involving the workplace are important components for enabling optimal work participation outcomes.
Influence of the time interval from diagnosis to treatment on survival for early-stage liver cancer

Objectives Liver cancer is the fifth most common cancer in men and the ninth most common cancer in women, and the WHO expects that there will be 1,341,344 cases in 2034 worldwide. Liver cancer also has the second-highest cancer death rate, accounting for 7% of all cancers. The study is going to explore the relationship between time interval from diagnosis to treatment and survival status of early-stage liver cancer patients. Materials and methods This is a retrospective cohort study using the national database from Taiwan. The datasets include the Taiwan Cancer Registry Database (TCR), the National Health Insurance Research Database (NHIRD), and the National Registry of Deaths. The target population for the study was patients newly diagnosed with stage I and stage II liver cancer between the years 2004 and 2010. Total of 26,038 cases were included in the study. Except descriptive analysis, the relationship between patient characteristics and the time interval from diagnosis to treatment was examined by chi-square tests. In addition, modified Cox proportional hazard models were used to analyze the hazard ratio of patient death with various treatment delay durations. Results There were 20,430 patients (78.46%) who received treatment less than 30 days after diagnosis, while 2,674 patients (10.27%) received treatment between 31 and 60 days after diagnosis, and 2,068 patients (7.94%) received treatment between 61 and 180 days after diagnosis, and 866 patients (3.33%) who received treatment 181 days after diagnosis. Those treated more than 181 days and 61–180 days after diagnosis had a 1.68-fold increased risk of death (95% confidence interval: 1.50–1.88) and a 1.39-fold increased risk of death (95% confidence interval: 1.31–1.17), respectively. Being male, being elderly, having a higher CCI level, and being treated in a hospital with a low service volume were factors associated with a poorer prognosis. Conclusion Overall, this study utilized a national cohort to conclude that for early-stage liver cancer patients, a longer the time interval from diagnosis to treatment results in a lower survival rate.