Miracle-dz/UniFAR-FTUs huggingface dataset:
BWLOCK: A Dynamic Memory Access Control Framework for Soft Real-Time Applications on Multicore Platforms

Soft real-time applications often show bursty memory access patterns—requiring high memory bandwidth for a short duration of time—that are often critical for timely data processing and performance. We call the code sections that exhibit such characteristics as Memory-Performance Critical Sections (MPCSs). Unfortunately, in multicore architectures, non-real-time applications on different cores may also demand high memory bandwidth at the same time. Resulting bandwidth contention can substantially increase the time spent on MPCSs of soft real-time applications, which in turn could result in missed deadlines. In this paper, we present a memory access control framework called BWLOCK, which is designed to protect MPCSs of soft real-time applications. BWLOCK consists of a user-level libarary and a kernel-level memory bandwidth control mechanism. The user-level library provides a lock-like API to declare MPCSs for real-time applications. When a real-time application enters a MPCS, the kernel-level bandwidth control mechanism dynamically throttles memory bandwidth of the rest of the cores to protect the MPCS, until it is completed. We evaluate BWLOCK using CortexSuite benchmarks. By selectively applying BWLOCK, based on the memory intensity of the code blocks in each benchmark, we achieve significant performance improvements, up to 150 percent reduction in slowdown, at a controllable throughput impact to non real-time applications.
Preoperative Aspartate Aminotransferase-to-Platelet Ratio Index Predicts Perioperative Liver-Related Complications Following Liver Resection for Colorectal Cancer Metastases

Background and Aims: There are limited data on the potential role of preoperative non-invasive markers, specifically the aspartate-to-alanine aminotransferase ratio and the aspartate aminotransferase-to-platelet ratio index, in predicting perioperative liver-related complications after hepatectomy for colorectal cancer metastases. Methods: Patients undergoing liver resection for colorectal cancer metastases in a European institution during 2003–2010 were retrospectively enrolled. Relevant data, such as neoadjuvant chemotherapy, preoperative liver function tests, and perioperative complications, were collected from medical records. The nontumorous liver parenchyma in the surgical specimens of 31 patients was re-evaluated. Results: Overall, 215 patients were included. In total, 40% underwent neoadjuvant chemotherapy and 47% major resection, while 47% had perioperative complications (6% liver-related). In multivariate regression analysis, the aspartate aminotransferase-to-platelet ratio index was independently associated with liver-related complications (odds ratio: 1.149, p = 0.003) and perioperative liver failure (odds ratio: 1.155, p = 0.012). The latter was also true in the subcohort of patients with neoadjuvant chemotherapy (odds ratio: 1.157, p = 0.004) but not in those without such therapy (p = 0.062). The aspartate-to-alanine aminotransferase ratio was not related to liver-related complications (p = 0.929). The area under the receiver operating characteristics curve for the aspartate aminotransferase-to-platelet ratio index as a predictor of liver-related complications was 0.857 (p = 0.008) in patients with neoadjuvant chemotherapy. Increasing aspartate aminotransferase-to-platelet ratio index was observed with an increase in degrees of sinusoidal obstruction syndrome (p = 0.01) but not for fibrosis (p = 0.175) or steatosis (p = 0.173) in the nontumorous liver in surgical specimens. Conclusion: The preoperative aspartate aminotransferase-to-platelet ratio index, but not the aspartate-to-alanine aminotransferase ratio, predicts perioperative liver-related complications following hepatectomy due to colorectal cancer metastases, in particular after neoadjuvant chemotherapy. The aspartate aminotransferase-to-platelet ratio index is related to sinusoidal obstruction syndrome in the nontumorous liver.
Primary Human Alveolar Bone Cells Isolated from Tissue Samples Acquired at Periodontal Surgeries Exhibit Sustained Proliferation and Retain Osteogenic Phenotype during In Vitro Expansion

Objectives Bone tissue regeneration requires a source of viable, proliferative cells with osteogenic differentiation capacity. Periodontal surgeries represent an opportunity to procure small amounts of autologous tissues for primary cell isolation. Our objective was to assess the potential of human alveolar bone as a source of autologous osteogenic cells for tissue engineering and biomaterials and drug testing studies. Materials and Methods Alveolar bone tissue was obtained from 37 patients undergoing routine periodontal surgery. Tissue harvesting and cell isolation procedures were optimized to isolate viable cells. Primary cells were subcultured and characterized with respect to their growth characteristics, gene expression of osteogenic markers, alkaline phosphatase activity and matrix mineralization, under osteogenic stimulation. Results Alveolar bone cells were successfully isolated from 28 of the 30 samples harvested with bone forceps, and from 2 of the 5 samples obtained by bone drilling. The yield of cells in primary cultures was variable between the individual samples, but was not related to the site of tissue harvesting and the patient age. In 80% of samples (n = 5), the primary cells proliferated steadily for eight subsequent passages, reaching cumulative numbers over 1010 cells. Analyses confirmed stable gene expression of alkaline phosphatase, osteopontin and osteocalcin in early and late cell passages. In osteogenic medium, the cells from late passages increased alkaline phosphatase activity and accumulated mineralized matrix, indicating a mature osteoblastic phenotype. Conclusions Primary alveolar bone cells exhibited robust proliferation and retained osteogenic phenotype during in vitro expansion, suggesting that they can be used as an autologous cell source for bone regenerative therapies and various in vitro studies.
Improving platform energy-chip area trade-off in near-threshold computing environment

Recent studies on near-threshold computing (NTC) investigated an optimum supply voltage which yields minimum energy per operation (Emin), and proposed various optimization techniques at the device, circuit, and architecture levels to further minimize Emn. However, most of these studies often overlooked the significance of (i) energy consumption of off-chip memory accesses; (ii) energy loss of voltage regulators (VRs); and (iii) the cost of chip area in NTC environment. In this paper, we first demonstrate the increasing significance of (i) and (ii) in NTC environment with a comprehensive set of device, circuit, and architectural-level models. Second, we explore technology optimization to improve the trade-off between platform energy and chip area considering (iii) in NTC environment. The experimental results show that our optimized technology achieves 4% to 21% energy reduction for various chip area constraints, achieving significant improvement in trade-off between platform energy and chip area for a wide range of parallel benchmarks.
Get the picture?: evaluating interfaces through children's drawings

We conducted a study to determine whether it was possible to evaluate the usability of a children's interface just by looking at their drawings, uncovering indicators that would reveal the degree of success of the interaction. Two groups of children aged between four and five years old were exposed to two versions of a computer game. In the regular version the game worked as expected, in the other version the mouse would stop functioning during random periods of the game play. The drawings made by the children after the game were analyzed by three evaluators to determine if they corresponded to the interaction with the regular or the broken game. The results show that in this specific study the decoding of children's drawings made after their interaction was clearly insufficient to assess the usability of the interface, and that further research is needed in this area.
Spatial Patterns and Sequential Sampling Plans for Estimating Densities of Stink Bugs (Hemiptera: Pentatomidae) in Soybean in the North Central Region of the United States

Abstract Stink bugs are an emerging threat to soybean (Fabales: Fabaceae) in the North Central Region of the United States. Consequently, region-specific scouting recommendations for stink bugs are needed. The aim of this study was to characterize the spatial pattern and to develop sampling plans to estimate stink bug population density in soybean fields. In 2016 and 2017, 125 fields distributed across nine states were sampled using sweep nets. Regression analyses were used to determine the effects of stink bug species [Chinavia hilaris (Say) (Hemiptera: Pentatomidae) and Euschistus spp. (Hemiptera: Pentatomidae)], life stages (nymphs and adults), and field locations (edge and interior) on spatial pattern as represented by variance–mean relationships. Results showed that stink bugs were aggregated. Sequential sampling plans were developed for each combination of species, life stage, and location and for all the data combined. Results for required sample size showed that an average of 40–42 sample units (sets of 25 sweeps) would be necessary to achieve a precision of 0.25 for stink bug densities commonly encountered across the region. However, based on the observed geographic gradient of stink bug densities, more practical sample sizes (5–10 sample units) may be sufficient in states in the southeastern part of the region, whereas impractical sample sizes (>100 sample units) may be required in the northwestern part of the region. Our findings provide research-based sampling recommendations for estimating densities of these emerging pests in soybean.
P2X3 receptors and peripheral pain mechanisms

ATP released from damaged or inflamed tissues can act at P2X receptors expressed on primary afferent neurones. The resulting depolarization can initiate action potentials that are interpreted centrally as pain. P2X3 subunits are found in a subset of small‐diameter, primary afferent neurones, some of which are also sensitive to capsaicin. They can form homo‐oligomeric channels, or they can assemble with P2X2 subunits into hetero‐oligomers. Studies with antagonists selective for P2X3‐containing receptors, experiments with antisense oligonucleotides to reduce P2X3 subunit levels, and behavioural testing of P2X3 knock‐out mice, all suggest a role for the P2X2/3 receptor in the signalling of chronic inflammatory pain and some features of neuropathic pain. The availability of such tools and experimental approaches promises to accelerate our understanding of the other physiological roles for P2X receptors on primary afferent neurones.
Genetic signatures of historical dispersal of fish threatened by biological invasions: the case of galaxiids in South America

The ecological effects of biological invasions are well documented, but little is known about the effects of invaders on the genetic structure of native species. We examined the phylogeography, genetic variation and population structuring of two galaxiid fishes, Aplochiton zebra and A. taeniatus, threatened by non‐native salmonids, and whose conservation is complicated by misidentification and limited knowledge of their genetic diversity.
Assessment of Thermal Transitions by Dynamic Mechanical Analysis (DMA) Using a Novel Disposable Powder Holder

Foods and pharmaceuticals materials are exposed to various environmental conditions during processing and while in storage; therefore, stability and quality are key attributes of concern. The properties of foods and pharmaceutical materials that define their quality are affected by conditions such as temperature, humidity and time. Glass transition is considered a key material property to understand how these external conditions affect the stability and quality of foods and pharmaceuticals. Thus, investigating the thermo-mechanical properties of these materials as well as characterizing the glass transition temperature have a great interest not only in the food industry, but also extend to the pharmaceutical and polymer industries. The aim of this study was to design and test a new disposable powder holder that allows the use of a dynamic mechanical analysis (DMA) instrument to test and characterize loose powder samples. The disposable aluminum powder holder was designed and constructed to be used in the single cantilever configuration on a TA Instruments RSA III DMA. Three different powder samples – Felodipine, polyethylene-oxide (MW 900 kDa) and HPMC (E4M) – were used for validation. The use of this powder holder allows the detection of different thermal changes of powder samples without compacting and when large sample size is necessary for detection and/or interpretation.
Nash Equilibria of Static Prediction Games

The standard assumption of identically distributed training and test data is violated when an adversary can exercise some control over the generation of the test data. In a prediction game, a learner produces a predictive model while an adversary may alter the distribution of input data. We study single-shot prediction games in which the cost functions of learner and adversary are not necessarily antagonistic. We identify conditions under which the prediction game has a unique Nash equilibrium, and derive algorithms that will find the equilibrial prediction models. In a case study, we explore properties of Nash-equilibrial prediction models for email spam filtering empirically.
Is buffalo enamel a suitable substrate for bond strength tests?

Aim The aim of this study was to compare the bonding strength of dental materials in buffalo (Bubalus bubalis var. kerebau), bovine, and human enamel and the susceptibility of these substrates in acid etching. Materials and methods A total of 20 human third molars, 20 bovine incisors, and 20 buffalo incisors were used in a mechanical assay of microshear. The substrates were demineralized via conditioning with 37% phosphoric acid, and the ultra-morphological pattern of each substrate was analyzed by scanning electron microscopy. Results The results showed that there was no significant difference in adhesive bonding strength values between buffalo and human enamel (P≥0.05), with a fracture pattern of mixed type for all experimental groups. Conclusion The results indicate that buffalo enamel is similar to human dental substrate in tests of adhesive bonding strength and also show a similar behavior in the acid conditioning of the enamel.
Towards the Automatic Identification of Spanish Verbal Phraseological Units

Verbal Phraseological Units are expressions made up of two or more words in which at least one of these words is a verb that plays the role of the predicate. Their main attribute is that this form of expression has taken on a more specific meaning than the expression itself. The automatic recognition of this type of linguistic structures is a very important task, since they are the standard way of expressing a concept or idea. This paper describes the outgoing advances of a PhD research work in which it is attempted to construe a methodology which allows to automatically identify these linguistic structures for the Mexican Spanish language. It is presented a set of hypotheses which will allow to produce novel proposals in the way of automatically identifying a verbal phraseological unit in a raw text. Additionally, we have presented experiments carried out in this sense, for example, by employing machine learning methods. Finally, we show a lexical resource which is product of the current advances in this PhD thesis.
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model

Structural equation models and Bayesian networks have been widely used to analyze causal relations between continuous variables. In such frameworks, linear acyclic models are typically used to model the data-generating process of variables. Recently, it was shown that use of non-Gaussianity identifies the full structure of a linear acyclic model, that is, a causal ordering of variables and their connection strengths, without using any prior knowledge on the network structure, which is not the case with conventional methods. However, existing estimation methods are based on iterative search algorithms and may not converge to a correct solution in a finite number of steps. In this paper, we propose a new direct method to estimate a causal ordering and connection strengths based on non-Gaussianity. In contrast to the previous methods, our algorithm requires no algorithmic parameters and is guaranteed to converge to the right solution within a small fixed number of steps if the data strictly follows the model, that is, if all the model assumptions are met and the sample size is infinite.
Mycobacterium africanum elicits an attenuated T cell response to early secreted antigenic target, 6 kDa, in patients with tuberculosis and their household contacts.

BACKGROUND Mycobacterium africanum, a member of the M. tuberculosis complex that is infrequently found outside of western Africa, is the cause of up to half of the tuberculosis cases there. METHODS We genotyped mycobacterial isolates obtained from a study of patients with tuberculosis and their household contacts and compared T cell responses and tuberculin skin test results by infecting genotype. RESULTS The T cell response to early secreted antigenic target, 6 kDa (ESAT-6), was attenuated in patients with tuberculosis (odds ratio [OR], 0.41 [95% confidence interval {CI}, 0.19-0.89]; P = .024) and household contacts (OR, 0.56 [95% CI, 0.38-0.83]; P = .004) infected with M. africanum, compared with the response in those infected with M. tuberculosis. In these same groups, responses to culture filtrate protein, 10 kDa (CFP-10), were nonsignificantly attenuated (P = .22 and P = .16, respectively), as were tuberculin skin test results (P = .30 and P = .46, respectively). Sequencing of region of difference 1 of M. africanum revealed that Rv3879c is a pseudogene in M. africanum; however, this finding does not provide an obvious mechanism for the attenuated ESAT-6 response. CONCLUSIONS This is the first evidence, to our knowledge, that strain differences affect interferon- gamma -based T cell responses. Our findings highlight the need to test new diagnostic candidates against different strains of mycobacteria. Integrating additional immunologic and genomic comparisons of M. tuberculosis and M. africanum into further studies may provide fundamental insights into the interactions between humans and mycobacteria.
Antibacterial Potential of Jatropha curcas Synthesized Silver Nanoparticles against Food Borne Pathogens

The aqueous leaf extract of Jatropha curcas was used for the synthesis of silver nanoparticles (Jc-AgNps) which were further evaluated for its antibacterial potential against food borne pathogens. J. curcas leaf extract could synthesize stable silver nanoparticles (Zeta potential: -23.4 mV) with absorption band at 430 nm. Fourier transform infrared spectroscopy indicated various biological compounds responsible for capping and stabilizing Jc-AgNps in suspension, while the presence of silver was authenticated by scanning electron microscopy (SEM) equipped with energy-dispersive X-ray. Jc-AgNps were confirmed to be uniform in shape, size and behavior through dynamic light scattering, transmission electron microscopy (TEM), X-ray diffraction, SEM, and atomic force microscopy (AFM) analysis. To investigate the antibacterial activity, disk diffusion and microplate dilution assays were performed and zone of inhibition (ZOI) as well as minimum inhibitory/bactericidal concentrations (MIC/MBCs) were evaluated against selected bacterial strains. Overall results showed that Escherichia coli (ZOI: 23 mm, MBC: 0.010 mg/ml) was the most sensitive organism, whereas Staphylococcus aureus (ZOI: 14.66 mm, MBC: 0.041 mg/ml) and Salmonella enterica (ZOI: 16.66 mm, MBC: 0.041 mg/ml) were the least sensitive against Jc-AgNps. The detailed microscopic investigations using SEM, TEM, and AFM were performed to understand the antibacterial impacts of Jc-AgNps against Listeria monocytogenes. SEM and TEM analysis showed the clear deformation and disintegration of treated L. monocytogenes cells, whereas AFM established a decrease in the height and cell surface roughness (root mean square value) in the treated L. monocytogenes.
The Association Between Sleep Disturbance, Depressive Symptoms, and Health-Related Quality of Life Among Cardiac Rehabilitation Participants

PURPOSE: Recent guidelines from the Canadian Association of Cardiac Rehabilitation highlight the importance of addressing sleep disturbance among participants of cardiac rehabilitation (CR) programs. The primary objective of this study was to examine the relationship between depressive symptoms, health-related quality of life, and sleep disturbance in CR participants. The secondary objective was to estimate the prevalence of sleep disturbance among CR participants with and without depressive symptoms and explore demographic, medical, and psychological predictors of poor sleep quality. METHODS: Cardiac rehabilitation participants (N = 259) were included in this study. Participants completed a standardized questionnaire package including demographic, health-related, and psychosocial measures. Physiologic and anthropometric measurements were taken at baseline. Descriptive statistics were calculated for all variables, and data were analyzed using multivariate logistic regression. RESULTS: Poor sleep quality was reported by 52% of participants in the sample, and 47% of participants in the sample reported experiencing at least mild depressive symptoms. Poor sleep occurred more often in individuals with depressive symptoms, and after adjustment for medical factors and health-related quality of life, participants with symptoms of depression were still more likely to experience sleep disturbance than those without depressive symptoms (OR = 2.80; 95% CI, 1.37–5.77). An important gender difference emerged in the relationship between symptoms of depression and sleep disturbance. CONCLUSION: Among participants of a CR program, disturbed sleep was strongly associated with depressive symptoms and decreased health-related quality of life. Results demonstrate the importance of sleep evaluation in CR programs.
Oatmeal-Containing Breakfast is Associated with Better Diet Quality and Higher Intake of Key Food Groups and Nutrients Compared to Other Breakfasts in Children

Oatmeal is a whole grain (WG) food rich in fiber and other nutrients. The study objective was to compare diet quality and nutrient intake of children consuming oatmeal breakfasts to those of children consuming other breakfasts using the National Health and Nutrition Examination Survey (NHANES) 2011–2014. Dietary intake data from 5876 children aged 2–18 years were divided by breakfast food consumption: oatmeal breakfasts, “Doughnuts, sweet rolls, pastries”, “Pancakes, waffles, French toast”, “Eggs and omelets”, “Ready-to-eat cereal, lower sugar”, and “Ready-to-eat cereal, higher sugar” were used to assess diet quality and intake of food groups and nutrients using the USDA Healthy Eating Index-2015 (HEI-2015), Food Patterns Equivalents Database, and Food and Nutrient Database for Dietary Studies, respectively. As compared to consumers of other breakfasts or breakfast skippers, oatmeal consumers had consistently higher diet quality (4–16 points higher HEI 2015 total score, p < 0.05), higher WG intake (0.6–1.6 oz eq. higher, p < 0.05), and higher fiber and magnesium intakes compared to consumers of most other breakfasts or breakfast skippers. The results show that children consuming oatmeal breakfasts have better diet quality and increased intake of key nutrients compared to breakfast skippers and other breakfast consumers and suggest oatmeal may represent an important component of a healthy childhood diet.