Miracle-dz/UniFAR-FTUs huggingface dataset:
Existential experience of children with cancer under palliative care.

OBJECTIVE To understand the existential experience of children with cancer under Palliative Care from the Humanistic Nursing Theory's point of view. METHOD This is a field and qualitative research, in which eleven children participated, supported by the Support Centre for Children with Cancer in Paraíba State. To collect data it was used the Story Drawing Procedure. The data were qualitatively analyzed based on Humanistic Nursing Theory. RESULTS From the analysis of the empirical study's subject, the following thematic categories have emerged: children experiencing fear, sadness, anguish and insecurity in the face of their diagnosis and children experiencing fear of their family falling apart because of the possibility of dying. CONCLUSION It is fundamental the participation of nurses in the Palliative Care to the children with cancer in order to strengthen the trust between the children and the professional to have the relationship of dialogue as central axis.
Two Case Studies

"On Material Evidence Authentication's Function in Traffic Accident" provides scientific and objective conclusions to fake scene for swindling insurance and asking some one else to take the responsibility for avoiding punishment,which also provides grounds to define responsibilities and solve the accident in time. "On Importance of Autopsy in Cracking Hit-and-run Cases" illustrates a case that when facing two drivers' question,responsibility can be defined through autopsy.
Prevalence of obesity among stroke patients in five Brazilian cities: a cross-sectional study

ABSTRACT Objective There is gap in knowledge about obesity prevalence in stroke patients from low- and middle-income countries. Therefore, we aimed to measure the prevalence of overweight and obesity status among patients with incident stroke in Brazil. Methods In a cross-sectional study, we measured the body mass index (BMI) of ischemic and hemorrhagic stroke patients. The sample was extracted in 2016, from the cities of Sobral (CE), Sertãozinho (SP), Campo Grande (MS), Joinville (SC) and Canoas (RS). Results In 1,255 patients with first-ever strokes, 64% (95% CI, 62–67) were overweight and 26% (95%CI, 24–29) were obese. The obesity prevalence ranged from 15% (95%CI, 9–23) in Sobral to 31% (95%CI, 18–45) in Sertãozinho. Physical inactivity ranged from 53% (95%CI, 43-63) in Sobral to 80% (95%CI, 73–85) in Canoas. Conclusions The number of overweight patients with incident stroke is higher than the number of patients with stroke and normal BMI. Although similar to other findings in high-income countries, we urgently need better policies for obesity prevention.
From Predictive Methods to Missing Data Imputation: An Optimization Approach

Missing data is a common problem in real-world settings and for this reason has attracted significant attention in the statistical literature. We propose a flexible framework based on formal optimization to impute missing data with mixed continuous and categorical variables. This framework can readily incorporate various predictive models including K- nearest neighbors, support vector machines, and decision tree based methods, and can be adapted for multiple imputation. We derive fast first-order methods that obtain high quality solutions in seconds following a general imputation algorithm opt.impute presented in this paper. We demonstrate that our proposed method improves out-of-sample accuracy in large-scale computational experiments across a sample of 84 data sets taken from the UCI Machine Learning Repository. In all scenarios of missing at random mechanisms and various missing percentages, opt.impute produces the best overall imputation in most data sets benchmarked against five other methods: mean impute, K-nearest neighbors, iterative knn, Bayesian PCA, and predictive-mean matching, with an average reduction in mean absolute error of 8.3% against the best cross-validated benchmark method. Moreover, opt.impute leads to improved out-of-sample performance of learning algorithms trained using the imputed data, demonstrated by computational experiments on 10 downstream tasks. For models trained using opt.impute single imputations with 50% data missing, the average out-of-sample R2 is 0.339 in the regression tasks and the average out-of-sample accuracy is 86.1% in the classification tasks, compared to 0.315 and 84.4% for the best cross-validated benchmark method. In the multiple imputation setting, downstream models trained using opt.impute obtain a statistically significant improvement over models trained using multivariate imputation by chained equations (mice) in 8/10 missing data scenarios considered.
Current and future therapeutic approaches for the treatment of follicular lymphoma

ABSTRACT Introduction: Recent advances in prognostication as well as management of Follicular Lymphoma (FL) are moving to personalized approach. Areas covered: Prognostic scores as well as consolidated and innovative therapeutic approaches are evaluated according to the various presentation modalities. For asymptomatic, low-tumor burden FL, a ‘watch and wait’ policy is currently the first-choice approach, although possible alternatives are discussed. Early stage FL may be treated with local radiotherapy although the role of minimal residual disease in possible additional agents should be determined. The first line treatment for symptomatic FL is chemo-immunotherapy followed by two years maintenance therapy with anti-CD20 monoclonal antibodies. A deeper knowledge of FL biology has opened new perspectives regarding the timing of therapy and has offered new targets for the development of novel agents that aim to change the therapeutic scenario of FL management. Expert commentary: The introduction of novel agents could question the incurability of FL and change the therapeutic goal from prolonging the complete remission state to eradicating the disease in young/fit patients, as well as improving quality of life in elderly/unfit patients. In the near future, combining new biologic agents and adoptive cell therapies could help in achieving these aims.
Performance Comparison of Saliency Detection

Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed. Furthermore, we selected 25 models and evaluated their performance using four public image datasets. We also discussed common problems, such as the influence to model performance by prior information and multiple objects. Finally, we offered future research directions.
Cryo-EM structure of alpha-synuclein fibrils

Intracellular inclusions of alpha-synuclein are the neuropathological hallmark of progressive disorders called synucleinopathies. Alpha-synuclein fibrils are associated with transmissive cell-to-cell propagation of pathology. We report the structure of an alpha-synuclein fibril (residues 1-121) determined by cryo-electron microscopy at 3. 4Å resolution. Two protofilaments form a polar fibril composed of staggered β-strands. The backbone of residues 38 to 95, including the fibril core and the non-amyloid component region, are well resolved in the EM map. Residues 50-57, containing three mutation sites associated with familial synucleinopathies, form the interface between the two protofilaments and contribute to fibril stability. A hydrophobic cleft may have implications for fibril elongation, and inform the rational design of molecules for diagnosis and treatment of synucleinopathies.
Polluted River Problems and Games with a Permission Structure

Polluted rivers are harmful to human, animals and plants living along it. To reduce the harm, cleaning costs are generated. However, when the river passes through several different countries or regions, a relevant question is how should the costs be shared among the agents. Ni and Wang (2007) first consider this problem as cost sharing problems on a river network, shortly called polluted river problems. They consider rivers with one spring which was generalized by Dong, Ni, and Wang (2012) to rivers with multiple springs. They introduce and axiomatize three cost sharing methods: the Local Responsibility Sharing (LRS) method, the Upstream Equal Sharing (UES) method and the Downstream Equal Sharing (DES) method. In this paper, we show that the UES and DES methods can also be obtained as the conjunctive permission value of an associated game with a permission structure, where the permission structure corresponds to the river structure and the game is determined by the cleaning costs. Then, we show that several axiomatizations of the conjunctive permission value also give axiomatizations of the UES and DES methods, of which one is comparable with the one from Dong, Ni, and Wang (2012). Besides, by applying another solution, the disjunctive permission value, to polluted river games with a permission structure we obtain a new cost allocation method for polluted river problems. We axiomatize this solution and compare it with the UES method.
Hydrogen Sulfide Is Increased in Oral Squamous Cell Carcinoma Compared to Adjacent Benign Oral Mucosae

Background/Aim: Hydrogen sulfide (H2S) and the enzymes that synthesize it, cystathionine-b-synthase, cystathionine γ-lyase, and 3-mercaptopyruvate, are increased in different human malignancies. Due to its short half-life, H2S concentrations have not been directly measured in a human malignancy. Here we directly measured in vivo H2S levels within oral squamous cell carcinoma (OSCC). Patients and Methods: Punch biopsies of OSCC and benign mucosae from 15 patients were analyzed by HPLC, western blotting, and tissue microarray analyses. Results: H2S concentrations were significantly higher in OSCC compared to adjacent benign oral mucosae. Western blot and tissue microarray studies revealed significantly increased cystathionine-b-synthase, cystathionine γ-lyase, and 3-mercaptopyruvate, phopho-Stat3, mitoNEET, hTERT, and MAPK protein levels in OSCC. Conclusion: H2S concentrations and the enzymes that synthesize it are significantly increased in OSCC. Here, for the first time H2S concentrations within a living human malignancy were measured and compared to adjacent counterpart benign tissue.
Usability and Security Effects of Code Examples on Crypto APIs

Context: Cryptographic APIs are said to be not usable and researchers suggest to add example code to the documentation. Aim: We wanted to create a free platform for cryptographic code examples that improves the usability and security of created applications by non security experts. Method: We created the open-source web platform CryptoExamples and conducted a controlled experiment where 58 students added symmetric encryption to a Java program. We then measured the usability and security. Results: The participants who used the platform were not only significantly more effective $( +73$ %) but also their code contained significantly less possible security vulnerabilities (-66 %). Conclusions: With CryptoExamples the gap between hard to change API documentation and the need for complete and secure code examples can be closed. Still, the platform needs more code examples.
Long non‐coding RNA FTH1P3 activates paclitaxel resistance in breast cancer through miR‐206/ABCB1

Emerging evidence has indicated the important function of long non‐coding RNAs (lncRNAs) in tumour chemotherapy resistance. However, the underlying mechanism is still ambiguous. In this study, we investigate the physiopathologic role of lncRNA ferritin heavy chain 1 pseudogene 3 (FTH1P3) on the paclitaxel (PTX) resistance in breast cancer. Results showed that lncRNA FTH1P3 was up‐regulated in paclitaxel‐resistant breast cancer tissue and cells (MCF‐7/PTX and MDA‐MB‐231/PTX cells) compared with paclitaxel‐sensitive tissue and parental cell lines (MCF‐7, MDA‐MB‐231). Gain‐ and loss‐of‐function experiments revealed that FTH1P3 silencing decreased the 50% inhibitory concentration (IC50) value of paclitaxel and induced cell cycle arrest at G2/M phase, while FTH1P3‐enhanced expression exerted the opposite effects. In vivo, xenograft mice assay showed that FTH1P3 silencing suppressed the tumour growth of paclitaxel‐resistant breast cancer cells and ABCB1 protein expression. Bioinformatics tools and luciferase reporter assay validated that FTH1P3 promoted ABCB1 protein expression through targeting miR‐206, acting as a miRNA “sponge. ” In summary, our results reveal the potential regulatory mechanism of FTH1P3 on breast cancer paclitaxel resistance through miR‐206/ABCB1, providing a novel insight for the breast cancer chemoresistance.
Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data

Abstract As more firms adopt big data analytics to better understand their customers and differentiate their offerings from competitors, it becomes increasingly difficult to generate strategic value from isolated and unfocused ad hoc initiatives. To attain sustainable competitive advantage from big data, firms must achieve agility in combining rich data across the organization to deploy analytics that sense and respond to customers in a dynamic environment. A key challenge in achieving this agility lies in the identification, collection, and integration of data across functional silos both within and outside the organization. Because it is infeasible to systematically integrate all available data, managers need guidance in finding which data can provide valuable and actionable insights about customers. Leveraging relationship marketing theory, we develop a framework for identifying and evaluating various sources of big data in order to create a value-justified data infrastructure that enables focused and agile deployment of advanced customer analytics. Such analytics move beyond siloed transactional customer analytics approaches of the past and incorporate a variety of rich, relationship-oriented constructs to provide actionable and valuable insights. We develop a customized kernel-based learning method to take advantage of these rich constructs and instantiate the framework in a novel prototype system that accurately predicts a variety of customer behaviors in a challenging environment, demonstrating the framework’s ability to drive significant value.
Impulse control and related disorders in Parkinson’s disease

ABSTRACT Neuropsychiatric disorders are common among patients with Parkinson’s disease and may appear in any stage of the disease. However, these disorders often go undiagnosed and receive insufficient treatment. Observations in recent years have revealed that dopamine replacement therapy may lead to the development or worsening of conditions, such as gambling disorder, compulsive sexual behavior, compulsive buying and binge eating, in addition to punding and dopamine dysregulation syndrome. The pathophysiology of these disorders seems to be related to abnormal dopaminergic stimulation of the basal regions of the basal ganglia, especially via nigro-mesolimbic pathways. The aim of the present study was to perform a literature review on impulsivity, impulse control disorders and related conditions among patients with Parkinson’s disease, with emphasis on their epidemiology, clinical characteristics and treatment.
Implementation and optimization of molecular rapid diagnostic tests for bloodstream infections

Purpose. The implementation and optimization of molecular rapid diagnostic tests (mRDTs) as an antimicrobial stewardship intervention for patients with bloodstream infections (BSIs) are reviewed. Summary. All U.S. acute care hospitals accredited by the Joint Commission are required to implement an antimicrobial stewardship program (ASP). Of the many interventions available to ASPs, mRDTs have demonstrated consistent, meaningful results on antimicrobial optimization and patient outcomes. Even among infectious diseases and antimicrobial stewardship–trained pharmacists, significant knowledge and familiarity gaps exist regarding available mRDTs and how best to implement and optimize them. Given the paucity of infectious diseases and/or antimicrobial stewardship–trained pharmacists, the mandates for establishing ASPs will require non‐infectious diseases/antimicrobial stewardship–trained pharmacists to implement stewardship interventions, which may include mRDTs, within their institution. Optimization of mRDTs requires adequate diagnostic stewardship, specifically evaluating how mRDT implementation may decrease costs and assist in meeting antimicrobial stewardship regulatory requirements. Knowledge of how these technologies will augment existing microbiology and antimicrobial stewardship workflow is essential. Finally, selecting the right mRDT necessitates familiarity with the instrument’s capabilities and with the institutional antibiogram. Conclusion. mRDTs have demonstrated the ability to be one of the most powerful antimicrobial stewardship interventions. Pharmacists required to implement an ASP in their institution should consider mRDTs as standard of care for patients with BSIs.
Patient preferences for a touch screen tablet-based asthma questionnaire

Abstract Objective: Assessment of asthma control and provision of asthma action plans are seldom performed in practice, partly due to limited time for physicians to ascertain required information. A patient-facing electronic asthma questionnaire could facilitate information collection. We sought to design a touch-tablet asthma questionnaire for use in the clinic waiting room and to describe patient preferences for the content of such a questionnaire. Methods: We created a questionnaire prototype based on best evidence and employed rapid-cycle design (semi-structured focus group testing; analysis; corresponding modifications and re-testing) with asthma patients aged ≥16 years. We analyzed transcripts using deductive and inductive content analysis. Quantitative measures included Likert-scale questions and questionnaire completion times. Results: There were 20 participants across five focus groups (15/20 (75%) female, age 49.1 ± 15.6 years). Content-related themes included: 1) comprehensibility (language) (how questionnaire language affected ease and accuracy of comprehension) and b) information collection (issues arising during information collection in the following identified subthemes: personal asthma symptoms and triggers; asthma control; asthma medications and contact information). Average questionnaire completion time was 11.7 ± 5.9 min. Summative Likert scale responses suggested high levels of question comprehension and confidence with responses. Conclusions: Our analysis provides novel insight about how best to formulate and present asthma-related content in an electronic questionnaire. Such questionnaires might facilitate quality improvement by improving efficiency of data collection, enabling better assessment of asthma control and medication adherence, and personalization of asthma action plans. Future studies should measure real-world uptake of such a questionnaire and impact on care.
Neuropsychiatric Aspects in Men with Klinefelter Syndrome

Background and objective Klinefelter Syndrome (KS) is the most common sex chromosome aneuploidy (47, XXY) and cause of male hypergonadotropic hypogonadism. It is characterized by an extreme clinical heterogeneity in presentation, including infertility, hypogonadism, language delay, metabolic comorbidities, and neurocognitive and psychiatric disorders. Since testosterone is known to have organizational, neurotrophic and neuroprotective effects on brain, the condition of primary hypogonadism could play a role. Moreover, given that KS subjects have an additional X, genes on the extra-chromosome could also exert a significant impact. The aim of this narrative review is to analyze the available literature on the relationship between KS and neuropsychiatric disorders. Methods To extend to the best of published literature on the topic, appropriate keywords and MeSH terms were identified and searched in Pubmed. Finally, references of original articles and reviews were examined. Results Both morphological and functional studies focusing on the brain showed that there were important differences in brain structure of KS subjects. Different psychiatric disorders such as Schizophrenia, autism, attention deficit hyperactivity disorder, depression and anxiety were frequently reported in KS patients according to a broad spectrum of phenotypes. T supplementation (TRT) was not able to improve the psychotic disorders in KS men with or without overt hypogonadism. Conclusion Although the risk of psychosis, depression and autism is increased in subjects with KS, no definitive evidence has been found in studies aiming at identifying the relationship between aneuploidy, T deficit and the risk of psychiatric and cognitive disorders in subjects affected by KS.
Sarcoidosis in Patients with Antisynthetase Syndrome: Presentation and Outcome

Objective. To investigate the uncommon co-occurrence of antisynthetase syndrome (AS) and sarcoidosis. Methods. From 2000 to 2015, patients with sarcoidosis were extracted from a retrospective multicentric cohort of 352 patients with AS. Results. Ten patients (2.8%; 6 men, 8 whites, 5 smokers, median age 50 yrs) had both AS and sarcoidosis. Most of the time, sarcoidosis and AS occurred simultaneously (n = 7). Antibody testing revealed anti-Jo1 (n = 5), anti-PL12 (n = 4), or anti-PL7 (n = 1). Finally, no patient had a worsening of muscular condition, 5 patients presented respiratory deterioration, 3 remained stable, and 2 showed improvement. Conclusion. Sarcoidosis may be underdiagnosed in patients with AS.
Initiatives aimed at retaining ethnically diverse student nurses in undergraduate programmes: An integrative review

AIMS AND OBJECTIVES To identify initiatives aimed at retaining ethnically diverse students in Bachelor/Baccalaureate undergraduate nursing programmes. The review focused on identifying strategies attempting to address this issue. BACKGROUND There is a recognised shortage of ethnically diverse registered nurses (RN) worldwide. Multiple strategies have been implemented internationally to create a more linguistically and culturally diverse RN workforce. Governments have invested significant resources into these strategies, but the outcomes have been variable. If a future RN workforce is to be representative of their populations, then effective evidence-based interventions are required. DESIGN An integrative review of the literature published from January 2006-December 2015. METHOD CINAHL, PubMed, ProQuest, ERIC and Cochrane databases were searched using the key terms student nurse, attrition and retention to identify papers. The CASP tools were used to evaluate relevant studies for rigour (Critical Appraisal Skills Programme [CASP], 2017). Seventeen papers were identified for inclusion. The findings from these studies were analysed using thematic analysis. RESULTS Four themes emerged from the analysis: prediction, recruitment and retention, single approach and multiple approaches. CONCLUSIONS Many factors affect the processes of retaining ethnically diverse student nurses in a Bachelor/Baccalaureate undergraduate programme. Programme single approaches appear to be limiting; however, implementation of a broad range of strategies across the continuum from recruitment to graduation is likely to be a more appropriate solution to achieving higher graduation rates amongst ethnically diverse students. RELEVANCE TO CLINICAL PRACTICE Supporting the recruitment and retention of ethnically diverse students assists in greater numbers of RNs graduating and provides a more linguistically and culturally diverse workforce representative of their population.