Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface Acoustic Wave Sensors for Ammonia Detection at Room Temperature Based on SnO 2 / Co 3 O 4 Bilayers

The selectivity of a SAW (surface acoustic wave) sensor, with a Co3O4 sensitive thin film for NH3 (ammonia) and the influence of SnO2 on its sensitivity, was studied. Thin films were deposited by pulsed laser deposition (PLD) on quartz SAW sensor substrates. Two sensors with different types of sensitive films were developed: a Co3O4 thin film sensor (S1) and a SnO2/Co3O4 thin film sensor (S2). The sensitive films were deposited in conditions which ensured a porous structure. The sensors were tested in the presence of three gases: NH3, methanol, and toluene. The selectivity of Co3O4 for NH3 was determined from the difference in the frequency shifts of the sensor for NH3 and for VOCs (volatile organic compounds). The positive influence of SnO2 on the sensitivity of sensor S2 was observed from the lower limit of detection (LOD) of this sensor and from the differences in frequency shifts between sensor S1 and sensor S2.
Genotype by Sequencing Method and Its Application for Crop Improvement (A Review)

Genotype by sequencing (GBS) is a next generation sequencing based method that takes advantage of reduced representation to enable genotyping of large numbers of individuals at a large number of SNP markers. It is relatively straightforward, robust, and cost-effective method to reduce problems in crop caused by a large genome size, reduced representation libraries are produced using a restriction enzyme that targets genomic regions while multiplexing with barcodes reduces the cost for individual sample. Several types of molecular markers, such as single nucleotide polymorphism (SNP), have been identified and effectively used in plant breeding. The application of next-generation sequencing (NGS) technologies has led to remarkable advances in whole genome sequencing, which provides ultra- throughput sequences to revolutionize plant genotyping and breeding. The GBS approach includes the digestion of genomic DNA with restriction enzymes followed by the ligation of barcode adapter, PCR amplification and sequencing of the amplified DNA pool on a single lane of flow cells. GBS has been successfully used in implementing genome-wide association study (GWAS), genomic diversity study, QTL mapping, genetic linkage analysis, molecular marker discovery and genomic selection under a large scale of plant breeding programs. GBS will have broad application in genomics-assisted plant breeding programs.
VẾT THƯƠNG PREPARATION AND CHARACTERIZATION OF CURCUMIN NANOPARTICLES LOADED THERMOSENSITIVE GELATIN-PLURONIC F 127 HYDROGEL FOR WOUND HEALING APPLICATION

Curcumin, a natural phenolic compound, is extracted from turmeric exhibiting several biomedical activities. Unfortunately, less aqueous solubility causesl drawback in medicinal application. This study introduces a method in order to produce a biomaterial containing high content of curcumin nanoparticles, which can overcome curcumin’s poor dissolution and wound healing. This method uses a thermo-reversible pluronic F127-grafted gelatin (GP) which play the role as surfactant to disperse and protect nanocurcumin from aggregation. The synthetic GP copolymer was identified via 1H NMR. Thermal transition behavior was identified under test tube inversion and differential scanning colorimetry (DSC). The synthesized curcumin size was characterized by Transmission Electron Microscopy (TEM) and Dynamic Light Scattering (DLS), which indicated that the size of nanocurcumin significantly varied ranging from 7 to 285 nm according to the amount of feeded curcurmin. The nanocurcumin-dispersed GP copolymer solution forms the nanocomposite hydrogel when warmed up to 36.27 0C. Release profile indicated the sustainable release control of nanocurcumin TẠP CHÍ KHOA HỌC TRƯỜNG ĐẠI HỌC TRÀ VINH, SỐ 26, THÁNG 6 NĂM 2017 KHOA HỌC CÔNG NGHỆ MÔI TRƯỜNG in the thermogel system. These results showed potential application of the biomaterial in tissue regeneration.
Comprehension of scientific texts in English as a foreign language: the role of cohesion

The reading of scientific texts is a challenge for students of all academic fields and levels. Whether it is a textbook in elementary education or a scientific paper in higher education, students are faced with a type of text which requires the reader's ability to generate inferences and the ability to fill informational gaps (BEST et al., 2005). This notion is in line with empirical evidence obtained by previous studies (e.g. OZURU et al., 2009). All of these works, however, were performed with native English speakers. In this sense, adopting the model of reading comprehension proposed by Kintsch (1998), we aimed to investigate if the results obtained by the previous studies, carried out with native speakers of English are also valid in a context of English as a foreign language. In addition, we pursue a methodological question, investigating whether the evaluation of reading comprehension through objective and subjective questions leads to convergent or divergent results. To investigate these questions, we analyze subjects’ answers to an objective questionnaire and in the production of a written summary. The results show that high-cohesion texts generate better results and point to possible research avenues.
Evaluating controversial articles on Wikipedia by talk page analysis

This Master Thesis is aimed to provide an evaluation methodology for trustworthiness on collaborative systems. Currently, community managers or credible contributors require a sophisticated tools for supporting their decisions on breaking discussions. These tools should analyze in deep the underlying behavior of members reflected through their unconscious acts when their interact among them. In particular, sentimental analysis is becoming one of the most trustworthy methodology for reflecting the intention of the authors through their words used on their comments or conversation threads. The methodology shown here relies on text analysis through sentimental analysis techniques. In particular, the text studied here is extracted from Wikipedia’ talk pages. For that, this thesis is divided in two main parts. The first part of this thesis covers the problem of identifying a certain point of agreement while authors interact on a discussion on Wikipedia talk pages. In the second part is considered the techniques for analyzing sets of controversial and featured pages. Here have been developed four approaches on different aspects to analyze: First, an analysis among controversial and featured topics based upon classification methods. Secondly, the analysis is refined through nine categories in common among controversial and featured topics. Third, it is proposed a methodology for determining whether a non-labeled page based upon models constructed on the first approach. The last approach is to identify some metrics by using Social Network Analysis.
Linalool monoterpene exerts potent antitumor effects in OECM 1 human oral cancer cells by inducing sub-G1 cell cycle arrest, loss of mitochondrial membrane potential and inhibition of PI3K/AKT biochemical pathway.

PURPOSE Oral cancer is one of the prevalent types of cancer and has been reported to responsible for significant mortality and morbidity. Since treatment options for oral cancer are limited, there is need to explore novel molecules for treatment of oral cancer. In the current study we evaluated the anticancer activity of a plant derived monoterpene, Linalool against oral cancer cell line, OECM-1. METHODS Cell viability was determined by MTT assay. Apoptosis was detected by DAPI and annexin V/PI staining. Cell cycle analysis was carried out by flow cytometry. Cell migration was assessed by wound healing assay and the expression of the proteins was determined by western blotting. RESULTS The results showed that Linalool inhibited the viability of oral cancer OECM-1 cells in a concentration-dependent manner. The IC50 of Linalool against OECM-1 oral cancer cells was 10 µM as compared to its IC50 of 65 µM against non-cancer FR-2 cells. The anticancer effects were due to the induction of the apoptosis and sub-G1 cell cycle arrest. The results of annexin V/PI further revealed that the apoptotic cell populations increased from 2.6% in the control to 61.3% at 20 µM concentrations. It was observed that Linalool decreased the expression of p-PI3K and p-AKT in a concentration-dependent manner. However, the expression of PI3K and AKT remained almost unaltered. CONCLUSIONS Taken together it was shown that Linalool monoterpene exerted significant anticancer effects in OECM-1 human oral cancer cells via inducing cell cycle arrest, loss of mitochondrial membrane potential (MMP) and suppressing PI3K/AKT signalling pathway.
Deterministic openmp

Researchers widely agree that determinism in parallel programs is desirable. Although experimental parallel programming languages have long featured deterministic semantics, in mainstream parallel environments, developers still build on non-deterministic constructs such as mutexes, leading to time- or schedule-dependent heisenbugs. To make deterministic programming more accessible, we introduce DOMP, a deterministic extension to OpenMP, preserving the familiarity of traditional languages such as C and Fortran, and maintaining source-compatibility with much of the existing OpenMP standard. Our analysis of parallel idioms used in 35 popular benchmarks suggests that the idioms used most often (89% of instances in the analyzed code) are either already expressible in OpenMP's deterministic subset (74%), or merely lack more general reduction (12%) or pipeline (3%) constructs. DOMP broadens OpenMP's deterministic subset with generalized reductions, and implements an efficient deterministic runtime that acts as a drop-in replacement for Gnu's widely used conventional OpenMP support library COMP, on mainstream Unix platforms. We evaluate DOMP with several existing OpenMP benchmarks, each requiring under 50 source line changes and a majority requiring none, as well as several benchmarks we ported to OpenMP/DOMP. We find DOMP's efficiency and scalability comparable to GOMP in 7 of 11 benchmarks, suggesting that a deterministic model for mainstream parallel programming may be well within reach.
Generating formally certified bounds on values and round-off errors

We present a new tool that generates bounds on the values and the round-off errors of programs using floating point operations. The tool is based on forward error analysis and interval arithmetic. The novelty of our tool is that it produces a formal proof of the bounds that can be checked independently using an automatic proof checker such as Coq and a complete model of floating point arithmetic. For the first time ever, we can easily certify that simple numerical programs such as the ones usually found in real time applications do not overflow and that round-off errors are below acceptable thresholds. Such level of quality should be compulsory on safety critical applications. As our tool is easy to handle, it could also be used for many pieces of software.
Atherosclerosis Treatment with Stimuli‐Responsive Nanoagents: Recent Advances and Future Perspectives

Atherosclerosis is the root of approximately one‐third of global mortalities. Nanotechnology exhibits splendid prospects to combat atherosclerosis at the molecular level by engineering smart nanoagents with versatile functionalizations. Significant advances in nanoengineering enable nanoagents to autonomously navigate in the bloodstream, escape from biological barriers, and assemble with their nanocohort at the targeted lesion. The assembly of nanoagents with endogenous and exogenous stimuli breaks down their shells, facilitates intracellular delivery, releases their cargo to kill the corrupt cells, and gives imaging reports. All these improvements pave the way toward personalized medicine for atherosclerosis. This review systematically summarizes the recent advances in stimuli‐responsive nanoagents for atherosclerosis management and its progress in clinical trials.
Use of Telemedicine to Improve Neonatal Resuscitation

Most newborn infants do well at birth; however, some require immediate attention by a team with advanced resuscitation skills. Providers at rural or community hospitals do not have as much opportunity for practice of their resuscitation skills as providers at larger centers and are, therefore, often unable to provide the high level of care needed in an emergency. Education through telemedicine can bring additional training opportunities to these rural sites in a low-resource model in order to better prepare them for advanced neonatal resuscitation. Telemedicine also offers the opportunity to immediately bring a more experienced team to newborns to provide support or even lead the resuscitation. Telemedicine can also be used to train and assist in the performance of emergent procedures occasionally required during a neonatal resuscitation including airway management, needle thoracentesis, and umbilical line placement. Telemedicine can provide unique opportunities to significantly increase the quality of neonatal resuscitation and stabilization in rural or community hospitals.
UNIVERSIDADE FEDERAL FLUMINENSE INSTITUTO DE SAÚDE DE NOVA FRIBURGO PROGRAMA DE PÓS-GRADUAÇÃO EM ODONTOLOGIA

Circulating triglyceride (TG) is an important indicator of metabolic and cardiovascular disorders, being commonly high in obesity and diabetes. Although postprandial TG is better associated with cardiovascular risk than fasting TG, there is no standardized methodology for its study in animal models, in which several types of fats are used (monounsaturated, polyunsaturated and saturated). The aim of the present study was to standardize a methodology used for postprandial lipemia and to verify if Soy, Olive and Coconut oils can raise this postprandial lipemia. Eight-month old male C57BL/6 mice were used for the 1st experiment, divided into 3 groups (n = 10): Saline (Sal), Coconut oil (Oc) and Olive oil (Oo). In a 2nd experiment, males and females of five months of age were divided into three groups (n = 10): Soy oil (Os), Coconut oil (Oc) and Olive oil (Oo). After 2 hours of fasting, the animals received 200 μl of the oils by orogastric gavage, then the blood was collected at intervals of 0h, and 1h, 2h, 3h and 4h, through a small incision at the tip of the tail. The blood was used to measure blood glucose (glucometer) and TG (biochemistry). Body mass (BM) was measured before and after the test. Data were analyzed by paired t test, ANOVA One-Way and repeated measures ANOVA, considering a P <0.05 as significant. In the 1st experiment there was an elevation of TG 1h after ingestion of the two oils, which remained elevated after 2h in the Oo group. The area under the curve (AUC) of the TG response was higher for the Oo and Oc groups. The AUC of the glycemic response was not altered in the groups that received the oils. However, there was an accentuated blood glucose reduction between 1h-4h in the groups that received the oils, compared to the Sal group. The BM reduced after the test, without changes among groups. In the 2nd experiment, there was a reduction of BM during the test for all groups, and in males the loss of the Oo group was increased in relation to Oc group. In males, there was an increase in TG in the Oo group between the interval of 1h and 2h. The ASC of the TG response was greater for the Oo group. In relation to the females, for the three oils, there was a TG increase between 1h and 2h. The ASC of the TG was decreased in the Oc group in relation to the Os group and increased in the Oo group in relation to the Oc group. The glycemia and ASC of the glycemic response of males and females were not altered. In conclusion of the oils studied, only olive oil and capable of elevating the postprandial TG, being a candidate for the oral fat tolerance test, since sexual dimorphism occurred with the emission of soybean oil and coconut oil capable of raising an LPP. Key-words: Postprandial lipemia, Triglyceride, C57BL/6 mice, Cardiovascular Disease, Cardiovascular Risk.
What does a good night's sleep mean? Nonlinear relations between sleep and children's cognitive functioning and mental health.

STUDY OBJECTIVES We attempted to identify the duration and quality of sleep associated with the optimal child outcomes in key developmental domains including cognitive functioning, academic performance, and mental health. In doing so, we examined nonlinear associations between the sleep and developmental variables. Based on racial/ethnic disparities in children's sleep, we assessed this variable as a moderator of examined relations. METHODS Two hundred eighty-two children participated (Mage = 9.4 years, SD = .72; 52% boys; 65% white/European American, 35% black/African American). Sleep was examined with actigraphy for seven consecutive nights and with self-reports. Actigraphy-based sleep duration (minutes) and quality (efficiency), as well as self-reported sleep quality were derived. Children reported on their mental health and were administered cognitive performance tests. Mothers and teachers reported on children's mental health; teachers also reported on academic functioning. Schools provided academic achievement data. RESULTS Sleep duration had an accelerating nonlinear negative association with externalizing behaviors. Nonlinear associations were also detected between both actigraphy-derived and subjective reports of sleep quality and multiple developmental domains including academic functioning and mental health and the best functioning corresponded with the highest levels of sleep quality. Emphasizing the importance of individual differences, several examined associations were moderated by race/ethnicity. CONCLUSIONS Sleep duration and quality emerged as nonlinear predictors of multiple domains of child development. Findings illustrate that the benefits of longer and better-quality sleep did not taper off and that assessments of nonlinear relations may enhance understanding of the nature of associations between sleep and child functioning.
NO 2 AND VOCS DEPOLLUTION IN GARAGE PROTOTYPES USING INNOVATIVE CONCRETES AND MORTARS

Air pollution produced by road traffic is an issue for public health and is responsible for the rise of acute respiratory diseases in urban areas. Some of the most toxic air pollutants, composed of nitrogen oxides (especially nitrogen dioxide, NO 2 ) and volatile organic compounds (VOCs), are significantly detected in the poorly ventilated areas. The depolluting cement-based materials studied by LafargeHolcim do not rely on photo-catalysis and function without sunlight, which is especially suitable for use in polluted confined areas (such as tunnels or parking garages). The experiments carried out in the laboratory demonstrated that an addition of activated carbons into concrete and mortar improved the absorption properties of these noxious gases without affecting their mechanical properties and durability. Two parking garages of 18 m 3 were built with internal walls made of depolluting concrete (or coated by a depolluting mortar) to measure their performances. The tests conducted using a gasoline-based generator (to produce a cocktail of air pollutants) confirmed a significant reduction of the NO 2 rate and noticeable abatements of certain VOCs (such as benzene and toluene).
Safety and Efficacy of a Five-Fraction Stereotactic Body Radiotherapy Schedule for Centrally Located Non-Small-Cell Lung Cancer: NRG Oncology/RTOG 0813 Trial.

PURPOSE Patients with centrally located early-stage non-small-cell lung cancer (NSCLC) are at a higher risk of toxicity from high-dose ablative radiotherapy. NRG Oncology/RTOG 0813 was a phase I/II study designed to determine the maximum tolerated dose (MTD), efficacy, and toxicity of stereotactic body radiotherapy (SBRT) for centrally located NSCLC. MATERIALS AND METHODS Medically inoperable patients with biopsy-proven, positron emission tomography-staged T1 to 2 (≤ 5 cm) N0M0 centrally located NSCLC were accrued into a dose-escalating, five-fraction SBRT schedule that ranged from 10 to 12 Gy/fraction (fx) delivered over 1.5 to 2 weeks. Dose-limiting toxicity (DLT) was defined as any treatment-related grade 3 or worse predefined toxicity that occurred within the first year. MTD was defined as the SBRT dose at which the probability of DLT was closest to 20% without exceeding it. RESULTS One hundred twenty patients were accrued between February 2009 and September 2013. Patients were elderly, there were slightly more females, and the majority had a performance status of 0 to 1. Most cancers were T1 (65%) and squamous cell (45%). Organs closest to planning target volume/most at risk were the main bronchus and large vessels. Median follow-up was 37.9 months. Five patients experienced DLTs; MTD was 12.0 Gy/fx, which had a probability of a DLT of 7.2% (95% CI, 2.8% to 14.5%). Two-year rates for the 71 evaluable patients in the 11.5 and 12.0 Gy/fx cohorts were local control, 89.4% (90% CI, 81.6% to 97.4%) and 87.9% (90% CI, 78.8% to 97.0%); overall survival, 67.9% (95% CI, 50.4% to 80.3%) and 72.7% (95% CI, 54.1% to 84.8%); and progression-free survival, 52.2% (95% CI, 35.3% to 66.6%) and 54.5% (95% CI, 36.3% to 69.6%), respectively. CONCLUSION The MTD for this study was 12.0 Gy/fx; it was associated with 7.2% DLTs and high rates of tumor control. Outcomes in this medically inoperable group of mostly elderly patients with comorbidities were comparable with that of patients with peripheral early-stage tumors.
Course Update for Nurse Anesthetists Anesthetic-Induced Anaphylaxis

Objectives After completion of this course, the reader should be able to: 1. Recognize the pathophysiologic process of anaphylaxis, its mediators and mechanisms, and the primary cells involved, including mast cells and basophils. 2. Describe the symptoms and determine the severity of anesthetic-induced anaphylaxis. 3. Identify preoperative surgical patients who are at a higher risk for anaphylaxis during anesthesia. 4. Identify anesthetic drugs that may trigger anaphylactic reactions, and examine strategies to prevent perioperative anaphylaxis. 5. Formulate an appropriate treatment protocol for anesthetic-induced anaphylaxis, and suggest the diagnostic tests essential for the evaluation of drug hypersensitivity.
Understanding the Neural Bases of Implicit and Statistical Learning

Both implicit learning and statistical learning focus on the ability of learners to pick up on patterns in the environment. It has been suggested that these two lines of research may be combined into a single construct of "implicit statistical learning. " However, by comparing the neural processes that give rise to implicit versus statistical learning, we may determine the extent to which these two learning paradigms do indeed describe the same core mechanisms. In this review, we describe current knowledge about neural mechanisms underlying both implicit learning and statistical learning, highlighting converging findings between these two literatures. A common thread across all paradigms is that learning is supported by interactions between the declarative and nondeclarative memory systems of the brain. We conclude by discussing several outstanding research questions and future directions for each of these two research fields. Moving forward, we suggest that the two literatures may interface by defining learning according to experimental paradigm, with "implicit learning" reserved as a specific term to denote learning without awareness, which may potentially occur across all paradigms. By continuing to align these two strands of research, we will be in a better position to characterize the neural bases of both implicit and statistical learning, ultimately improving our understanding of core mechanisms that underlie a wide variety of human cognitive abilities.