Miracle-dz/UniFAR-FTUs huggingface dataset:
Auditive training effects from a dichotic listening app in children with dyslexia

Dichotic listening (DL) taps information on the brain's language laterality, processing, and attention. Research has shown that DL responses in dyslexia deviate from the typical pattern. Here, effects of DL training and its correspondence to rapid naming (RAN) and digit span (DS) in typical children and children with dyslexia were assessed. Three groups of third graders participated: two training groups, control training (CT) and dyslexia training (DT), and a control group that received no training (control no training, CnT). All took part in testing pretraining and posttraining. DL measures were on laterality, response scores, and attention. The three groups showed different response patterns: minor changes in CnT, change in all measures in CT, and some changes in DT. RAN and DS scores correlated significantly with some of the DL measures, especially with the attention scores. Our findings support arguments that brain architecture for language in dyslexia is lateralised in the same way as in children without dyslexia. However, the ability to modulate attention during DL is weaker in dyslexia than in typically developing children. A training‐induced normalisation of lateralisation was observed in free recall in the dyslexia group, which suggests that DL training may be a promising intervention approach.
A study of Forward Body Biasing techniques for Subthreshold ring Oscillators

Simple topologies like the ring oscillators (ROs) have been already created, but they truly have important applications when are used in the subthreshold operation. This work highlights the two popular inverter schemes with forward body biasing topology presented in the literature. To emphasize the use of the ultra energy-efficient subthreshold regime of the ring oscillator, power dissipation, delay, phase noise, and PVT variations have been analyzed for three ring oscillators composed of the conventional CMOS inverters, the DT-CMOS inverters, and the SBB inverters respectively. All Simulations and measurements are performed in cadence virtuoso platform using FreePDK45 process design kit with a supply voltage of 250 mV.
Denitrifying haloarchaea within the genus Haloferax display divergent respiratory phenotypes, with implications for their release of nitrogenous gases

Haloarchaea are extremophiles, generally thriving at high temperatures and salt concentrations, thus, with limited access to oxygen. As a strategy to maintain a respiratory metabolism, many halophilic archaea are capable of denitrification. Among them are members of the genus Haloferax, which are abundant in saline/hypersaline environments. Three reported haloarchaeal denitrifiers, Haloferax mediterranei, Haloferax denitrificans and Haloferax volcanii, were characterized with respect to their denitrification phenotype. A semi-automatic incubation system was used to monitor the depletion of electron acceptors and accumulation of gaseous intermediates in batch cultures under a range of conditions. Out of the species tested, only H. mediterranei was able to consistently reduce all available N-oxyanions to N2 , while the other two released significant amounts of NO and N2 O, which affect tropospheric and stratospheric chemistries respectively. The prevalence and magnitude of hypersaline ecosystems are on the rise due to climate change and anthropogenic activity. Thus, the biology of halophilic denitrifiers is inherently interesting, due to their contribution to the global nitrogen cycle, and potential application in bioremediation. This work is the first detailed physiological study of denitrification in haloarchaea, and as such a seed for our understanding of the drivers of nitrogen turnover in hypersaline systems.
On outage secrecy minimisation in an energy harvesting relay assisted cognitive radio networks

This work considers an energy harvesting (EH) based two-hop relay assisted cognitive radio system that consists of a secondary transmitter, a relay node and a cooperative jammer operated in an underlay mode with a primary transmitter–receiver pair. An optimisation problem is formulated to minimise the secrecy outage probability under the constraints of simultaneously meeting the energy causality of the secondary transmit nodes, interference to the primary receiver and secondary outage probability. An analytical expression of the secrecy outage probability is developed followed by deriving the closed-form expressions to determine the optimal transmit power of the source, the relay node and the fraction of the time slot for EH. Simulation results show that the minimum value of the secrecy outage probability is ∼ 6.4 % and ∼ 19.18 % less over the existing works.
Glucose deprivation activates a cAMP-independent protein kinase from Trypanosoma equiperdum

Abstract Kemptide (sequence: LRRASLG) is a synthetic peptide holding the consensus recognition site for the catalytic subunit of the cAMP-dependent protein kinase (PKA). cAMP-independent protein kinases that phosphorylate kemptide were stimulated in Trypanosoma equiperdum following glucose deprivation. An enriched kemptide kinase-containing fraction was isolated from glucose-starved parasites using sedimentation throughout a sucrose gradient, followed by sequential chromatography on diethylaminoethyl-Sepharose and Sephacryl S-300. The trypanosome protein possesses a molecular mass of 39.07–51.73 kDa, a Stokes radius of 27.4 Ǻ, a sedimentation coefficient of 4.06 S and a globular shape with a frictional ratio f/fo = 1.22–1.25. Optimal enzymatic activity was achieved at 37 °C and pH 8.0, and kinetic studies showed Km values for ATP and kemptide of 11.8 ± 4.1 and 24.7 ± 3.8 µm, respectively. The parasite enzyme uses ATP and Mg2+ and was inhibited by other nucleotides and/or analogues of ATP, such as cAMP, AMP, ADP, GMP, GDP, GTP, CTP, β,γ-imidoadenosine 5′-triphosphate and 5′-[p-(fluorosulfonyl)benzoyl] adenosine, and by other divalent cations, such as Zn2+, Mn2+, Co2+, Cu2+, Ca2+ and Fe2+. Additionally, the trypanosome kinase was inhibited by the PKA-specific heat-stable peptide inhibitor PKI-α. This study is the first biochemical and enzymatic characterization of a protein kinase from T. equiperdum.
Hypoxia-activated prodrugs and redox-responsive nanocarriers

Hypoxia is one of the marked features of malignant tumors, which is associated with several adaptation changes in the microenvironment of tumor cells. Therefore, targeting tumor hypoxia is a research hotspot for cancer therapy. In this review, we summarize the developing chemotherapeutic drugs for targeting hypoxia, including quinones, nitroaromatic/nitroimidazole, N-oxides, and transition metal complexes. In addition, redox-responsive bonds, such as nitroimidazole groups, azogroups, and disulfide bonds, are frequently used in drug delivery systems for targeting the redox environment of tumors. Both hypoxia-activated prodrugs and redox-responsive drug delivery nanocarriers have significant effects on targeting tumor hypoxia for cancer therapy. Hypoxia-activated prodrugs are commonly used in clinical trials with favorable prospects, while redox-responsive nanocarriers are currently at the experimental stage.
Design for Self-inclusion: supporting emotional capability

This paper contributes to inclusive design. It seeks to extend the current definition of Inclusive Design, addressing motion, sensory and cognitive capability, by introducing emotional capability for self-inclusion as an additional component. To illustrate this perspective, the paper presents two constructive design research cases of designing for self-inclusion. One of these cases presents a finished design to support autistic children in self-inclusion. The other case presents a design exploration method to support participants in determining the emotional priorities which should underliedesign interventions. The participants in this case sought to compensate a physical disability, one, a permanent one, and the other, a temporary one. The second case is presented in order to show the potential of starting from the experience of situations rather than specific design goals. The paper concludes that valuable design potential can arise from emotional and experiential insights from combined embodiment and participatory design activities
Clinical Impact of Hemorheology on Subclinical Myocardial Injury in Patients with Hypertension

Background The blood concentration of high-sensitivity cardiac troponin T (hs-cTnT) is a useful biomarker for myocardial injury or the pathogenesis of hypertension. Little is known about the relationship between hemorheology and myocardial injury in patients with hypertension. This cross-sectional study aimed to clarify the clinical impact of hemorheology on subclinical myocardial injury assessed with a microchannel array flow analyzer (MC-FAN) and its impact on hs-cTnT in patients with hypertension. Methods A total of 447 outpatients (men: 181; women: 266; mean age: 65 ± 13 years), with no history of cardiovascular disease, including admission for heart failure, who were undergoing treatment for hypertension, were enrolled. Whole blood passage time (WBPT) as a marker of hemorheology was measured with a MC-FAN, and the relationship between hs-cTnT levels and various clinical parameters, including WBPT, was examined. Results hs-cTnT levels were detected in 400 patients (89.5%). WBPT was significantly higher in patients with detectable hs-cTnT levels than in those with undetectable hs-cTnT levels (60.5 ± 16.8 s versus 50.2 ± 14.2 s, P < 0.001). In patients with detectable hs-cTnT levels, there was a significant positive correlation between WBPT and hs-cTnT level (r = 0.33; P < 0.001). Multiple regression analysis revealed that WBPT was an independent variable when hs-cTnT was a subordinate factor (β = 0.15; P < 0.01). Receiver-operating characteristic curve analysis indicated that a cutoff value for WBPT of 55.6 s yielded the largest area under the curve (0.744; P < 0.001) for discriminating high hs-cTnT levels as ≥ 0.014 ng/mL. Conclusion The results indicate that WBPT is independently associated with hs-cTnT in hypertensive patients with no history of cardiovascular events, suggesting that impairment of hemorheology in small cardiac vessels causes subclinical myocardial injury. In addition, the study suggests that progression of myocardial injury can be prevented by maintaining WBPT at approximately ≤ 55 s.
Reference materials selection for the stable carbon isotope analysis of dissolved carbon using a wet oxidation system.

RATIONALE Wet chemical oxidation combined with isotope ratio mass spectrometry has become a routine technique for analyzing the stable carbon isotope composition of dissolved organic (DOC) and inorganic (DIC) carbon. However, methodological inconsistencies between laboratories in using different reference materials lead to a discrepancy in results. We experimentally tested the precision and accuracy of the analysis of commonly available international reference materials and other chemicals potentially suitable for laboratory standards. METHODS The solid international reference materials and other simple chemicals were used to prepare water solutions. A range of carbon concentrations was chosen to optimize tests for (1) precision and accuracy, (2) linearity, (3) detection limits, (4) memory effects, and (5) efficiency of DIC removal from a DOC/DIC mixtures. Samples were analyzed using an LC-IsoLink coupled with a Delta V Plus isotope ratio mass spectrometer (Thermo Fisher Scientific). RESULTS The analytical setup had a negligible memory effect, good reproducibility (<0.21‰) and accuracy (maximum difference from the true values <0.35‰) for the analyzed organic compounds if approximately ≥9 × 10-09 moles of dissolved carbon was injected into the system (~11 mg C L-1 if a 10-μL loop was used). Analyses of sodium bicarbonate or calcium carbonate solutions had a two-fold lower accuracy despite maintaining a high precision. CONCLUSIONS Aqueous solutions of international reference materials such as L-glutamic acids (USGS40, USGS41), benzoic acid (IAEA-601) and sucrose (IAEA-CH-6) can be successfully used for direct normalization of results to the VPDB scale. By contrast, analyses of caffeine and urea returned very reproducible but highly inaccurate results and these materials are not recommended for standards.
Understanding Social Media's Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions

Social media provides a powerful data source for researchers interested in understanding population-level behavior, having been successfully leveraged in a number of different application areas including disease prediction models, detecting civil unrest, and measuring public sentiment towards a given topic of interest within the public discourse. In this work, we present a study of a large collection of Twitter data centered on the social conversation around global climate change during the 2015 UN Climate Change Conference, held in Paris, France in December 2015. We ﬁrst developed a mechanism for distinguishing between personal and non-personal accounts. We then analyzed demographics, emotion, and opinion dynamics over time and location in order to understand how the different user types converse around meaningful topics on social media. This methodology offers in-depth insight into the behavior and opinions around a topic where multiple distinct narratives are present involved, and lays the ground-work for future work in studying narratives in social media.
UAV-Assisted Data Dissemination in Delay-Constrained VANETs

Due to the high mobility of vehicles, the frequent path failures caused by dynamic network topology, and a variety of obstructions, efficient data dissemination with delay constraint in vehicular ad hoc networks (VANETs) is a challenging issue. To address these problems, a novel mobile relaying technique by employing unmanned aerial vehicles (UAVs) is considered to facilitate data dissemination in vehicular environments where the communication infrastructures are not available or the network connectivity is poor. This paper studies and formulates the throughput maximization problem in UAV-assisted VANETs, which aims to achieve high throughput while guarantee the delay constraint of data flows to the vehicles in the area. To maximize the network throughput, the maximization problem tries to find an optimal delivery strategy for data dissemination by optimizing the transmission rate. To solve the problem, the knapsack problem can be reduced to the maximization problem, which is proved NP-hard. A polynomial time approximation scheme is proposed to achieve an approximate solution. Detailed theoretical analysis including time complexity and approximation ratio of the proposed algorithm is presented. Simulation results demonstrate the effectiveness of the proposed algorithm.
Analytical Formulation of the Block-Constrained Configuration Model

We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model. Block-constrained configuration models build on the generalised hypergeometric ensemble of random graphs and extend the well-known configuration model by enforcing block-constraints on the edge generation process. The resulting models are analytically tractable and practical to fit even to large networks. These models provide a new, flexible tool for the study of community structure and for network science in general, where modelling networks with heterogeneous degree distributions is of central importance.
The ABCs of CRISPR in Tephritidae: developing methods for inducing heritable mutations in the genera Anastrepha, Bactrocera and Ceratitis

Tephritid fruit flies are destructive agricultural pests that are the targets of expensive population eradication and suppression efforts. Genetic pest management is one of the strategies for reducing or eliminating tephritid populations, relying upon the genetic manipulation of insects to render them sterile or capable of transmitting deleterious traits through gene drive. Currently, radiation, chemical mutagenesis, and transgenic techniques are employed to generate agents for genetic pest management, but new methods must be explored and developed for all tephritid pest species. Targeted mutagenesis induced by nonhomologous end join repair of clustered regularly interspaced short palindromic repeats and the CRISPR associated protein 9 (Cas9) (commonly known as CRISPR/Cas9) has been demonstrated to be an efficient method for creating knock‐out mutants and can be utilized to create germline mutations in Tephritidae. In this paper, we describe detailed methods to knockout the white gene in three tephritid species in the genera Anastrepha, Bactrocera and Ceratitis, including the first demonstration of CRISPR/Cas9 induced mutations in the genus Anastrepha. Lastly, we discuss the variables in tephritid systems that directed method development as well as recommendations for performing injections in remote containment facilities with little molecular biology capabilities. These methods and recommendations combined can serve as a guide for others to use in pursuit of developing CRISPR/Cas9 methods in tephritid systems.
A Comparison of Algorithms for Finding an Efficient Theme Park Tour

The problem of efficiently touring a theme park so as to minimize the amount of time spent in queues is an instance of the Traveling Salesman Problem with Time-Dependent Service Times (TSP-TS). In this paper, we present a mixed-integer linear programming formulation of the TSP-TS and describe a branch-and-cut algorithm based on this model. In addition, we develop a lower bound for the TSP-TS and describe two metaheuristic approaches for obtaining good quality solutions: a genetic algorithm and a tabu search algorithm. Using test instances motivated by actual theme park data, we conduct a computational study to compare the effectiveness of our algorithms.
Isolation, Characterization, and Quantification of Bacteria from African Sausages Sold in Nairobi County, Kenya

African sausages are local popular delicacies in Kenya. Demand for these sausages has resulted in this delicacy's vendors being on the increase. However, health risk posed to unsuspecting consumers of African sausages sold in informal, unhygienic make shift road-side kiosks in major cities of Kenya is largely unknown. A descriptive study was designed to isolate, characterize and quantify bacteria from African sausages sold in Nairobi County. A total of hundred (100) African sausages (62 roasted and 38 nonroasted) were conveniently collected from three meat eatery points of Westlands, Kangemi slum, and Pangani estates. Five genera of bacteria, namely, Staphylococcus spp. at 50.4%, Bacillus spp. at 19.5%, Streptococcus spp. 9.8%, Proteus spp. 2.4%, and E. coli spp. at 1.6%, were isolated from 80 African sausage samples. The total aerobic bacterial count range was between 1.0-9.9x101 and 1.0-9.9x107 log cfu/g with 37 samples having total aerobic bacterial count of between 1.0-9.9 x104 and 1.0-9.9 x107 log cfu/g. There was no significant difference (p>0.05) in distribution of isolates and total aerobic bacterial count across geographical sites studied among the roasted and nonroasted African sausages. This study has demonstrated presence of bacteria in African sausages which are potentially zoonotic to humans. Comprehensive study is needed to sample more eatery meat points in Nairobi and other areas in order to demonstrate pathogenic attributes of these isolates and establish the respective total aerobic bacterial count. There is also need to establish the sources of bacteria due to high total aerobic bacterial count determined in the current study.
CHARACTERIZING MATHEMATICS TEACHERS’ TECHNOLOGICAL PEDAGOGICAL CONTENT KNOWLEDGE

Technology integration requires every teacher to become skilled and competent users of computer technology in the delivery of the lesson alongside with their content and pedagogical expertise. Anchored on the Technological Pedagogical Content Knowledge Framework (Mishra & Koehler 2006), this cross-sectional correlational study aimed to investigate the technological pedagogical content knowledge of the secondary school mathematics teachers in the Division of Southern Leyte. Using an adapted standardized instrument, this study found out that mathematics teacher equipped with the necessary technological pedagogical content knowledge are generally novice, young and single female teacher who are knowledgeable in technology and technology integration and very knowledgeable in content and pedagogy. Regression analysis determines technological knowledge and technological content knowledge significantly predicts Technological Pedagogical Content Knowledge among mathematics teachers. The study concludes that strong and significant knowledge on technology, pedagogy and content and their interrelatedness defines teachers’ creativeness and effectiveness in developing and delivering new mode of representations and solutions of mathematical content and problems making them responsive to the 21 st century learners, and thereby recommends to strengthen mathematics teachers’ knowledge through continuous attendance to conferences and/or workshops on technology-integration in mathematics classroom. Article visualizations:
Flow Cytometric Assessment of the Morphological and Physiological Changes of Listeria monocytogenes and Escherichia coli in Response to Natural Antimicrobial Exposure

Essential oils (EOs) or their components represent one of the most promising natural, safe, and feasible alternatives to prevent the growth of food-borne pathogens like Listeria monocytogenes and Escherichia coli in food matrices. Although antimicrobial properties of EOs and their components are well-documented, limited and fragmented information is available on the changes induced by these compounds, even at sub-lethal concentrations, in the physiological properties of microbial cells. The aim of this study was to explore the morpho-physiological changes of L. monocytogenes Scott A and E. coli MG 1655 induced after 1 h exposure to different sub-lethal and lethal concentrations of citral, carvacrol, (E)-2-hexenal, and thyme EO. For this purpose, different cell viability parameters such as membrane integrity, esterase activity, and cytoplasmic cell membrane potential were measured by flow cytometry. Flow cytometric data revealed specific response patterns in relation to the strain, the natural antimicrobial and its concentrations. Both the target microbial strains showed an increased cell membrane permeabilization without a loss of esterase activity and cell membrane potential with increasing citral, carvacrol and thyme EO concentrations. By contrast, (E)-2-hexenal did not significantly affect the measured physiological properties of L. monocytogenes Scott A and E. coli MG 1655. The used approach allowed identifying the most effective natural antimicrobials in relation to the microbial target.