Miracle-dz/UniFAR-FTUs huggingface dataset:
Pediatricians’ knowledge in children’s oral health: A systematic review

Background and Objective: There have been requests for physicians to address children's oral health for more than a decade; yet oral health screening, referral, and oral healthcare are still underdeveloped in pediatric practice. Therefore a systematic review was required to understand the pediatricians' existing knowledge and practice for developing action to strengthen their role in children's oral health. Study Design: The electronic MEDLINE, Embase, Cochrane, and PubMed databases were searched. Additionally, the bibliography of all relevant articles and textbooks were manually searched. The terms included ("Knowledge" [MeSH] AND (“Attitude" [MeSH]) AND ("Pediatricians" [MeSH] AND ("Children" [MeSH] AND ("Oral Health" [MeSH]. The expanding international interest in pediatricians' role in children's oral health is highlighted in this review. Results: The findings show that doctors have insufficient knowledge and awareness in key areas such as early clinical symptoms of dental caries, suggested age for first dental visit, etiology of dental caries, and fluoride use recommendations. Inadequate education and training, time restrictions in practice, and a lack of referral mechanisms are all obstacles for pediatricians.
SAR296968, a Novel Selective Na+/Ca2+ Exchanger Inhibitor, Improves Ca2+ Handling and Contractile Function in Human Atrial Cardiomyocytes

Background: In reverse-mode, cardiac sodium-calcium exchanger (NCX) can increase the cytoplasmic Ca2+ concentration in response to high intracellular Na+ levels, which may contribute to diastolic contractile dysfunction. Furthermore, increased spontaneous Ca2+ release from intracellular stores can activate forward mode NCX. The resulting transient inward current causes delayed afterdepolarization (DAD)-dependent arrhythmias. Moreover, recently, NCX has been associated with impaired relaxation and reduced cardiac function in heart failure with preserved ejection fraction (HFpEF). Since NCX is upregulated in human chronic atrial fibrillation (AF) as well as heart failure (HF), specific inhibition may have therapeutic potential. Objective: We tested the antiarrhythmic, lusitropic and inotropic effects of a novel selective NCX-inhibitor (SAR296968) in human atrial myocardium. Methods and Results: Right atrial appendage biopsies of 46 patients undergoing elective cardiac surgery in a predominant HFpEF cohort (n = 24/46) were investigated. In isolated human atrial cardiomyocytes, SAR296968 reduced the frequency of spontaneous SR Ca2+ release events and increased caffeine transient amplitude. In accordance, in isolated atrial trabeculae, SAR296968 enhanced the developed tension after a 30 s pause of electrical stimulation consistent with reduced diastolic sarcoplasmic reticulum (SR) Ca2+ leak. Moreover, compared to vehicle, SAR296968 decreased steady-state diastolic tension (at 1 Hz) without impairing developed systolic tension. Importantly, SAR296968 did not affect the safety parameters, such as resting membrane potential or action potential duration as measured by patch clamp. Conclusion: The novel selective NCX-inhibitor SAR296968 inhibits atrial pro-arrhythmic activity and improves diastolic and contractile function in human atrial myocardium, which may have therapeutic implications, especially for treatment of HFpEF.
Diet-Derived Circulating Antioxidants and Risk of Digestive System Tumors: A Mendelian Randomization Study

Previous observational case-control studies have shown significant controversy over the impact of dietary intake-related circulating antioxidants on the risk of digestive system tumors. We conducted a two-sample Mendelian randomized (MR) analysis to determine whether there was a significant causal relationship between increased levels of circulating antioxidants and digestive system tumors. Our circulating antioxidants (vitamin C, carotenoids, vitamin A, and vitamin E) were derived from absolute circulating antioxidants and circulating antioxidant metabolites, and their corresponding instrumental variables were screened from published studies. The digestive system tumors we studied included colorectal, gastric, pancreatic, liver, and esophageal cancer, and the corresponding summary GAWS (genome-wide association study) data were obtained from the UK Biobank database. We first evaluated the causal relationship between each tumor and circulating antioxidants and then used meta-analysis to summarize the results of MR analysis of different tumors. No significant associations were noted for genetically predicted circulating antioxidants and higher risk of digestive system tumors in our study. The pooled ORs (odds ratio) are 0.72 (95% CI: 0.46–1.11; β-carotene), 0.93 (95% CI: 0.81–1.08; lycopene), 2.12 (95% CI: 0.31–14.66; retinol), and 0.99 (95% CI: 0.96–1.02; ascorbate) for absolute circulating antioxidants; for circulating antioxidant metabolites, the pooled ORs for digestive system tumors risk per unit increase of antioxidants were 1.29 (95% CI: 0.39–4.28; α-tocopherol), 1.72 (95% CI: 0.85–3.49; γ-tocopherol), 1.05 (95% CI: 0.96–1.14; retinol), and 1.21 (95% CI: 0.97–1.51; ascorbate), respectively. Our study suggested that increased levels of dietary-derived circulating antioxidants did not reduce the risk of digestive system tumors.
Passive Night Cooling Potential in Office Buildings in Continental and Mediterranean Climate Zone in Croatia

The envelope is one of the most important driving factors in the energy efficiency of buildings. Typical for office and commercial buildings, curtain wall facades allow solar heat gains to be used during the winter but can lead to difficulties in reducing the cooling load during summer. The cooling load is dominant in most building types in the temperate maritime climate, while in the temperate continental climate, it is dominant mainly in office and commercial buildings. The goal of this research was to determine the potential of night passive cooling in an office building model in the most populated urban areas in Croatia-Zagreb and Split, which are located in two different climate zones. Suitable to the climate on-site, an appropriate building envelope and various types of passive and mechanical ventilation systems were selected for each location and case. Additional factors included and analysed were climate conditions, heat gains, the heat accumulation of the building, night ventilation through openings, unwanted air infiltration, and cooling loads. Through a detailed description of the model, passive cooling potential calculations, and Computer Fluid Dynamics (CFD) simulations, the results showed a potential of up to 43.5% savings in the cooling energy need for the temperate continental climate and 32.2% in the temperate marine climate. It was found from the analysis that night ventilation is expected to cool down the building enough to delay a need for cooling by several hours and improve fresh air requirements, thus saving power for cooling, and effectively reducing the need for air conditioning.
Risk factors increasing the incidence of multiple sclerosis (MS)

Multiple sclerosis is a chronic demyelinating disease. The etiology of MS is complex and can be associated with many different factors acting simultaneously or in a cascade. There is ample evidence that latitude, light and vitamin D exposure, and migration have a major influence on the incidence of MS. This shows the uneven distribution of the sick population across the globe. The participation of environmental factors such as bacteria and viruses as well as smoking is not excluded.
Low-Power Task Scheduling Algorithm for the Multicore Processor System Based on the Genetic Algorithm

In order to solve the periodic hard real-time tasks with dependencies on multicore processors, the author proposes a low-power task scheduling algorithm for multicore processor systems based on the genetic algorithm. This method first uses the RDAG algorithm to separate the tasks and then takes the lowest power consumption as the principle; a genetic algorithm is used to determine the task mapping. Experimental results show that based on the power consumption model of Intel PXA270, several random task sets are used for simulation experiments, which shows that this method saves 20% to 30% of the energy consumption compared with the existing methods. This method effectively shortens the completion time of tasks, improves the utilization efficiency of multicore system resources, improves the parallel computing capability of multicore systems, reduces the average response time of tasks, and improves the throughput and resource utilization of multicore systems.
Future directions of fuzzy theory and systems

Fuzzy logic and soft computing, L.A. Zadeh intelligence computing, M. Sugeno fuzzy knowledge-based systems - reviews and perspectives, K.S. Leung and Y. Leung mathematical foundation and engineering application, J.-Y. Zhu fuzzy inference without membership function, C.P. Kwong a membership function translation approach for evaluating fuzzy systems, Y. -H. Kuo and B. -H. Wei fuzzy counterpropagation networks, C. -C. Jou fuzzy controllers make interpolation using fuzzy samples, P.Z. Wang et al the fuzzy function approximation using polynomial rules, L. -W. Chan adaptive fuzzy controller with model-following capability, J.T. K. Koo on fuzzy inference based on a-level sets, H.T. Nguyen and Y. Maeda neural fuzzy ellipsoidal learning and platoon control, J. Dickerson and B. Kosko.
Modulating glioblastoma chemotherapy response: Evaluating long non-coding RNA effects on DNA damage response, glioma stem cell function, and hypoxic processes

Abstract Glioblastoma (GBM) is the most common and aggressive primary adult brain tumor, with an estimated annual incidence of 17 000 new cases in the United States. Current treatments for GBM include chemotherapy, surgical resection, radiation therapy, and antiangiogenic therapy. However, despite the various therapeutic options, the 5-year survival rate remains at a dismal 5%. Temozolomide (TMZ) is the first-line chemotherapy drug for GBM; however, poor TMZ response is one of the main contributors to the dismal prognosis. Long non-coding RNAs (lncRNAs) are nonprotein coding transcripts greater than 200 nucleotides that have been implicated to mediate various GBM pathologies, including chemoresistance. In this review, we aim to frame the TMZ response in GBM via exploration of the lncRNAs mediating three major mechanisms of TMZ resistance: (1) regulation of the DNA damage response, (2) maintenance of glioma stem cell identity, and (3) exploitation of hypoxia-associated responses.
When Behavior Analysis Meets Social Network Alignment

Recently, aligning users among different social networks has received significant attention. However, most of the existing studies do not consider users’ behavior information during the aligning procedure and thus still suffer from poor learning performance. In fact, we observe that social network alignment and user behavior analysis can benefit from each other. Motivated by such an observation, we propose to jointly study the social network alignment and user behavior analysis problem in this paper. We design a novel framework named BANANA-RGB. In this framework, to capture users’ multi-scale behavior information in each social network, we train a variant of the hierarchical periodic memory network with personalized memorization. To leverage behavior analysis for social network alignment, we design a tensor fusion network-based alignment component to improve the performance. To further leverage social network alignment for behavior analysis, we design a gating-based cross-network behavior fusion component to integrate users’ behavior information in different social networks based on the alignment result. We iteratively train the above two components to make the two tasks benefit from each other. Extensive experiments on real-world datasets demonstrate that our proposed approach outperforms the state-of-the-art methods.
Advances in coherent detection algorithms

Digital coherent receivers with data-rates of 100 Gbit/s based on dual-polarization quaternary phase shift keying (DPQPSK) have become a reality. One research trend is now directing towards even higher bit-rates of 400 Gbit/s and 1 Tbit/s. However, it is also very desirable to improve the performance of the current basic 100 Gbit/s DP-QPSK. Algorithms have a huge improvement potential and exemplary recent advances will be introduced in this paper.
Prevalence and Characteristics of Malaria and Influenza Co-Infection in Febrile Patients: A Systematic Review and Meta-Analysis

Malaria and influenza are co-endemic in several geographical areas, and differentiation of their clinical features is difficult. The present study aimed to qualitatively and quantitatively analyze the prevalence and characteristics of malaria and influenza co-infection in febrile patients. The systematic review was registered at PROSPERO (CRD42021264525). Relevant literature that reported malaria and influenza co-infection in febrile patients were searched in PubMed, Web of Science, and Scopus from 20 June to 27 June 2021 and the risk of bias for each study was assessed. Quantitative analysis included pooled prevalence, and the odds of malaria and influenza virus co-infection among febrile patients were estimated using a random-effects model. Subgroup analyses were performed to summarize the effect estimate for each group. Funnel plot, Egger’s test, and contour-enhanced funnel plot were used to demonstrate any publication bias among outcomes of included studies. Among 4253 studies retrieved, 10 studies that enrolled 22,066 febrile patients with 650 co-infected patients were included for qualitative and quantitative syntheses. The pooled prevalence of malaria and influenza virus co-infection among febrile patients was 31.0% in Nigeria, 1.0% in Tanzania, 1.0% in Uganda, 1.0% in Malawi, 1.0% in Ghana, 0% in Cambodia, 7.0% in the Central African Republic, and 7.0% in Kenya. Meta-analysis also showed co-infection occurrence by chance (p = 0.097, odds ratio 0.54, 95% CI 0.26–1.12, I2 94.9%). The prevalence of malaria and influenza virus co-infection among febrile patients was heterogeneous by country, characteristics of febrile participants, and diagnostic tests for influenza virus. Further studies should investigate severe clinical manifestations or differentiate clinical outcomes between mono-infected or co-infected individuals, whether the co-infection leads to severe disease outcome.
Metodología Basada en Modelos en Tiempo de Ejecución para la Construcción y Operación de Sistemas Autoconscientes de Internet de las Cosas

Hoy en día, uno de los desafíos tecnológicos es el desarrollo de software para sistemas de IoT, ya que operan en escenarios altamente cambiantes, siendo complejo con las metodologías de Ingeniería de Software tradicionales identificar todos los requisitos del sistema en la etapa de desarrollo. Una alternativa es incrementar su autonomía, dotándoles de capacidades de autoconsciencia con el apoyo de los modelos en tiempo de ejecución, a fin de trasladar varias de las funcionalidades que se programan durante el desarrollo al tiempo de ejecución. Este trabajo doctoral propone desarrollar una metodología basada en modelos en tiempo de ejecución para la construcción y operación de sistemas autoconscientes de IoT.
Prevalence, severity and risk factors for speech disorders in US children

Data from the US National Survey of Children’s Health for years 2007, 2011–2012, 2016 and 2017, based on parent report, were analysed to determine the prevalence, severity and specific risk factors (bilingualism, comorbidity, age, sex) for speech disorders. The prevalence of speech disorders was lower for children who are bilingual, without comorbidity, older and females. Parents of children who are bilingual, with comorbidity and in the youngest and oldest age groups were more likely to report moderate or severe symptoms. Unlike prior reports based on smaller samples, findings indicate that bilingual children are not at higher risk for speech disorders.
Detecção de Fake News em Língua Portuguesa Combinando Redes Neurais Convolucionais e Algoritmos de Aprendizagem de Máquina

A popularização das mídias sociais vem sendo um facilitador ao acesso à informação. Porém, o crescente volume de compartilhamento de notícias tem aumentado a preocupação em torno das "fake news", devido seu potencial de manipulação sobre a opinião pública. Sendo assim, este artigo apresenta uma proposta para a análise de notícias em Português e a detecção de fake news, utilizando Aprendizagem de Máquina e Redes Neurais Convolucionais. Para este fim, foi utilizada a base de dados Fake.Br, que apresenta 7.200 artigos de notícias em português. O estudo realizado concentrou-se em analisar tanto os textos, como também os seus respectivos metadados. Desta forma, após uma análise sobre os algoritmos selecionados, obteve-se uma acurácia de 97%.
Lucas and Tobin: Debating the New Classical Challenge to Keynesian Economics

ABSTRACT The future Nobel laureates Robert Lucas and James Tobin debated the New Classical challenge to the microeconomic foundations and empirical validity of Keynesian economics, with Lucas singling Tobin out as an interlocutor among Keynesian economists who took the New Classical challenge seriously. Their intellectual exchanges began with Tobin, ‘The Wage-Price Mechanism: Overview of the Conference’ (1972), and Lucas, ‘Econometric Testing of the Natural Rate Hypothesis’ (1972), both in Otto Eckstein, ed., The Econometrics of Price Determination Conference (1972). That conference was a milestone in confronting alternative macroeconomic methodologies with each other, but has received relatively little attention in the literature, most notably from Stanley Fischer (in JMCB Supplement, 2007), who characterized ‘that volume as representative of the best thinking of the time on the Phillips curve. ’ This paper examines the debate between Lucas and Tobin that began with their contributions to that conference and that reached a climax with Tobin’s Yrjö Jahnsson Lectures (Asset Accumulation and Economic Activity, 1980) and Lucas’s Journal of Economic Literature review article on those lectures.
Detecção de botnets baseada na análise de fluxos de rede utilizando estatística inversa

Botnet é uma rede de computadores infectados, os quais são controlados remotamente por um cibercriminoso, denominado botmaster e que tem como objetivo realizar ataques cibernéticos massivos, como DDoS, SPAM e roubo de informações. Os métodos tradicionais de detecção de botnets, normalmente baseados em assinatura, são incapazes de detectar botnets desconhecidas. A análise baseada em comportamento tem sido promissora para a detecção de tendências atuais de botnets, as quais estão em constante evolução. Este artigo propõe um mecanismo de detecção de botnet baseado na análise do comportamento de fluxo de rede. A técnica utilizada para detecção de botnets foi recentemente desenvolvida e é denominada Energy-based Flow Classifier (EFC). Essa técnica utiliza estatística inversa para detecção de anomalias. Dois conjuntos de dados heterogêneos, CTU-13 e ISOT HTTP foram utilizados para avaliar a eficiência do modelo gerado e os resultados foram comparados com diversos classificadores tradicionais, de uma e de duas classes. Os resultados obtidos mostram que o EFC obteve resultados mais estáveis, independente do domínio, ao contrário dos demais algoritmos testados.
2450‐MHz microwave ablation temperature simulation using temperature‐dependence feedback of characteristic parameters

Temperature predictions of microwave ablation (MWA) are currently restricted by the specific temperature‐dependent data of tissue characteristic parameters. To address this issue, a new parameter feedback method based on temperature simulations and single‐thermometry measurements was presented. Experimental data of 2450‐MHz microwave antenna was obtained from ex vivo porcine livers. A temperature distribution model was constructed, and the contributions of characteristic parameters were acquired by the sensitivity analysis method. Subsequently, parameter feedbacks were conducted based on a minimization of the errors between numerical data and single‐thermometry measurements. The temperature distribution model was then optimized using the feedback parameters. Finally, temperature measurements were compared with simulation data to validate the accuracy of the model. According to the temperature distribution model with parameter feedback, the averages of maximum error, average error, as well as SD between the simulation temperatures and the measurements were 2.952, 1.323, and 0.852°C, respectively. The simulated and measured temperature changes were generally in good agreement. The proposed method can be useful in MWA temperature simulations to improve temperature prediction accuracy.
Do genetically informed distribution models improve range predictions in past climates? A case study with balsam poplar

Species distribution models (SDMs) are one of the most widely used approaches to predict changes in habitat suitability in response to climate change. However, as typically implemented, SDMs treat species as genetically uniform throughout their ranges and thereby ignore potentially important genetic differences between populations. While numerous studies have used SDMs to model genetically based subgroupings within species, the ability of such models to be transferred to new times has rarely been evaluated. Here, we used standard and genetically informed distribution models (gSDMs) to predict the future and past range of balsam poplar ( Populus balsamifera L.). We then assessed model transferability of standard SDMs and gSDMs using balsam poplar fossil pollen and macrofossil occurrences. In general, standard and gSDMs performed similarly through time, with both predicting a northward expanding range from refugia as glaciers receded over the past 22 ky BP and declining suitable area in future climates. Both standard and gSDMs showed moderate abilities to distinguish balsam poplar fossils from pseudo-absences but tended to predict lower suitability at fossil sites during the Pleistocene-Holocene transition. Although gSDMs applied to balsam poplar did not prove more transferable than standard SDMs, they provided numerous unique insights, such as the change in suitable area of genetic clusters through time and potential refugial locations. We argue more research is needed to determine which species may benefit most from the gSDM approach and to test gSDMs with temporally or spatially independent occurrences, as is often recommended for standard SDMs.