Miracle-dz/UniFAR-FTUs huggingface dataset:
Locally mesh-refined lattice Boltzmann method for fuel debris air cooling analysis on GPU supercomputer

A dry method is one of practical methods for decommissioning the TEPCO's Fukushima Daiichi nuclear power station. Japan Atomic Energy Agency (JAEA) has been evaluating the air cooling performance of the fuel debris by using the JUPITER code based on an incompressible fluid model and the CityLBM code based on the lattice Boltzmann method (LBM). However, these codes were based on a uniform Cartesian grid system, and required large computational time and cost to capture complicated debris structures and multi-scale flows at the actual reactor scale. The adaptive mesh refinement (AMR) method is one of the key techniques to accelerate multiscale simulations. We develop an AMR version of the CityLBM code on GPU based supercomputers and apply it to thermal-hydrodynamics problems. The proposed method is validated against free convective heat transfer experiments at JAEA. Thanks to the AMR method, grid resolution is optimized near the walls where velocity and temperature gradients are large, and the temperature distribution agrees with the experimental data using half the number of grid points. It is also shown that the AMR based CityLBM code on 4 NVIDIA TESLA V100 GPUs gives 6.7x speedup of the time to solution compared with the JUPITER code on 36 Intel Xeon E5-2680v3 CPUs. The results show that the AMR based LBM is promising for accelerating extreme scale thermal convective simulations.
The Use of Language Awareness Strategies in the Teaching of Foreign Languages to Creole Speaking Students

The language de jure in Jamaica is Jamaican English (JE); however, the language de facto of most nationals is Jamaican Creole (JC). As such, there are many students who enter the tertiary level without fully acquiring JE. As a CARICOM nation, it is mandatory that foreign languages are taught beginning at the primary level of education. Although the main foreign languages taught in Jamaica are Spanish and French, this paper focuses on Spanish because of our proximity to Spanish-speaking countries, and because of the government’s declaration of Spanish as our official foreign language. However, in spite of best efforts, there are still difficulties encountered in the foreign language classroom which manifest at the tertiary level. Some of these are attributable to the Jamaican language situation. Particularly, the linguistic background and language awareness (LA) of teachers and students alike. Previous studies have investigated the implementation of LA strategies within the Jamaican language classroom regarding the teaching of English as a second language. However, no such study has been conducted on the teaching of foreign languages. This ongoing mixed-methods action research implemented various LA strategies at a non-traditional university using the communicative approach to teaching foreign languages. The effects of these strategies were examined quantitatively and qualitatively within a constructivist framework that embraces student-centred learning while incorporating JC. Some of the students’ perceptions of and their actual performance increased after implementing the LA strategies. As LA increases, students’ communicative competence and their ability to function globally should also increase.
Randomization and Social Policy Evaluation Revisited

This paper considers the evidence on the effectiveness and limitations of randomized controlled trials in economics. I revisit my previous paper "Randomization and Social Policy Evaluation" and update its message. I present a brief history of randomization in economics and identify two waves of enthusiasm for the method as "Two Awakenings" because of the near-religious zeal associated with both waves. I briefly summarize the lessons of the first wave and forecast the same lessons will be learned in the second wave.
Using Machine Learning to Find New Members of the Pleiades

An open star cluster is a group of gravitationally bound stars that move together through space and have the same origin. One of the most famous star clusters, which can be seen with the unaided eye, is Pleiades. In order to accurately model clusters’ formation and evolution, scientists need to know exact cluster members to include them into analysis. Unlike the stars that are close to the cluster core, it is hard to relate the stars that are farther from the cluster center and can therefore be confused for field stars. In this thesis, we find Pleiades member candidates among stars with unknown membership using Machine Learning. Here we show that spectral data alone is not enough for clear membership determination, although combined with stars’ positions and velocities, it produces valid results. Our 22 suggested Pleiades member candidates have positions, velocities, abundances and atmospheric parameters similar to the Pleiades stars. Features with more predictive power are positions and abundances Fe/H , M/H and C/Fe. The model relying on spectral features has been able to find a lot more stars with chemical composition similar to the Pleiades. The fact that some of these predicted stars are too far away (more than 20 pc from the cluster center) proves that spectral information alone is not discriminative enough to isolate the members of one particular cluster. Still, it is very useful to separate Pleiades member candidates from field stars, since the precision of the model on the test dataset is 0.957. Features that are more important for the prediction are N/Fe, C/Fe and Teff . The results obtained in this thesis will be very useful for large future sky surveys. Having many stars as possible cluster members, our model will help to carefully reduce their number for a detailed membership study.
A Case Report on Patient with Guillain-Barre Syndrome Improved by Korean Medical Combined Treatment

Objectives The purpose of this case is to report the improvement after Korean medical combined treatment about patient with Guillain-Barre syndrome. Methods We treated patient using electroacupuncture, moxibustion, herbal medication, and rehabilitation therapy for 59 days. Results The weakness of muscles of upper extremities were recovered to normal level, and the muscle power of lower extremities was improved enough to walking with walker. Conclusions We conclude that Korean medical combined treatment is an effective to improve the power of muscle having weakness. But there is a limit on this report due to sufficient number of case. Further studies will be needed.
Facile Sonochemical Preparation of Au-ZrO2 Nanocatalyst for the Catalytic Reduction of 4-Nitrophenol

High-intensity ultrasonic waves have great potential for the green synthesis of various nanomaterials under mild conditions and offer an excellent alternative for hazardous chemical methods. Herein a facile approach for the eco-friendly synthesis of Au-ZrO2 nanocatalyst with a high catalytic activity using a facile ultrasonic method is presented. Gold (Au) in the nanosize regime was successfully deposited on the surface of solvothermally synthesized monodispersed ZrO2 nanoparticles (ZrO2 NPs) in a very short period of time (5 min) at room temperature. Spherical shape small size Au nanoparticles that are uniformly dispersed on the surface of ZrO2 nanoparticles were obtained. Notably, in the absence of ZrO2 nanoparticles, HAuCl4 could not be reduced, indicating that nano-sized ZrO2 not only acted as support but also helped to reduce the gold precursor at the surface. The as-prepared Au-ZrO2 nanocatalyst was characterized by various techniques. The Au-ZrO2 nanocatalyst served as a highly efficient reducing catalyst for the reduction of 4-nitrophenol. The reaction time decreased with increasing the amount of catalyst.
The effect of Thymus vulgaris L. on renal and liver toxicity in wistar rats exposed to aluminum

The main sources of human exposure to aluminum are found in the extensive presence of the metal in the environment and its growing industrial applications. The present study was carried out to determine the effectiveness of the Thymus vulgaris L. extract in alleviating aluminum chloride (AlCl3) toxicity on biochemical and antioxidant parameters. The experiment’s rats were divided into five groups: a control group; an intoxicated group (300 mg AlCl3/kg bw); and three other groups which were given AlCl3 (300mg/kg/bw) then T. vulgaris. L extract (T.v), Malic Acid (MA) and Vitamin E (Vit E) at a concentration of 150mg/kg/bw. Each group was given its respective dosage, daily for 90 days. The results showed a significant decrease in the body/liver/kidney weights, the plasma total protein (T. Protein) and albumin (Alb) levels (p≤0.05) in the intoxicated rats group. However, a significant increase in the plasma uric acid (Uac), alkaline (AlP) and acid phosphatase (AcP) levels was noted (p≤0.05) in the same group. The amount of aluminum, TBARS and nitrate/nitrite (NO) in the liver and kidney tissues of the rats treated with AlCl3 was also found to have increased (p≤0.05), while the levels of glutathione peroxidase (GSH-Px) and glutathione transferase (GSH-St) have decreased significantly (p≤0.05). These altered parameters were restored in the rats treated with the T. vulgaris L. extract. Therefore, due to these beneficial effects, T. vulgaris L. could potentially be used to antagonize AlCl3 toxicity. Key words: Thymus vulgaris L. , aluminum chloride, oxidative stress, malic acid, vitamin E.
Metal Organic Frameworks-Based Optical Thin Films

Metal-organic frameworks (MOFs) are organic-inorganic hybrid materials with ordered pore structures assembled by metal centers and organic ligands through coordination bonds, but conventionally they are mostly in powder form. In recent years, metal-organic framework films have received increasing attention due to their potential applications in nanotechnology and nanodevices. The intrinsic ultrahigh porosity of MOFs may lead to a low refractive index of MOF materials. In addition, over 70,000 types of MOFs exist, and their properties can be tuned through the adoption of different metal motifs, organic ligands, or crystal mor-phologies. These characteristics make MOFs a potential new generation of optical thin film materials. In this chapter, the fabrication methods of MOF thin films, the optical properties of MOF optical thin films, and their application in optical sensors were described.
PM-LSH

Nearest neighbor (NN) search in high-dimensional spaces is inherently computationally expensive due to the curse of dimensionality. As a well-known solution to approximate NN search, locality-sensitive hashing (LSH) is able to answer c-approximate NN (c-ANN) queries in sublinear time with constant probability. Existing LSH methods focus mainly on building hash bucket based indexing such that the candidate points can be retrieved quickly. However, existing coarse-grained structures fail to offer accurate distance estimation for candidate points, which translates into additional computational overhead when having to examine unnecessary points. This in turn reduces the performance of query processing. In contrast, we propose a fast and accurate LSH framework, called PM-LSH, that aims to compute the c-ANN query on large- scale, high-dimensional datasets. First, we adopt a simple yet effective PM-tree to index the data points. Second, we develop a tunable confidence interval to achieve accurate distance estimation and guarantee high result quality. Third, we propose an efficient algorithm on top of the PM-tree to improve the performance of computing c-ANN queries. Extensive experiments with real-world data offer evidence that PM-LSH is capable of outperforming existing proposals with respect to both efficiency and accuracy.
Difficulties in administration of oral medication formulations to pet cats ; an e-survey of 4 cat owners 5 6 7

20 The purpose here was to determine the problems cat owners encounter in medicating 21 their cats with orally administered drugs at home. The study was carried out as an open e22 questionnaire survey addressed to cat owners in which we focused on the oral administration 23 route. A total of 46 completed questionnaires were included in the survey. In the study, 46 24 cats received 67 orally administered drugs. Approximately half of the drugs were registered 25 for use in cats by the European Medicines Agency (54%), and there were also off-label drugs 26 registered for human (36%) and canine medication (7.4%) and an ex tempore drug (3.0%). 27 The owners were unable to give the doses as prescribed for their cats for one fourth of the 28 medications (16/67). Drugs that were registered for feline medication were significantly more 29 palatable than drugs registered for other species (odds ratio (OR) 4.9), and liquid formulations 30 were significantly more palatable than solid formulations (OR 4.8). However, most of the 31 owners (22/38) preferred a solid dosage form, while few (4/38) chose a liquid formulation. 32 The results indicate that there is still a need for more palatable and easily administered oral 33 drugs for cats. 34 35
Dynamic speculative optimizations for SQL compilation in Apache Spark

Big-data systems have gained significant momentum, and Apache Spark is becoming a de-facto standard for modern data analytics. Spark relies on SQL query compilation to optimize the execution performance of analytical workloads on a variety of data sources. Despite its scalable architecture, Spark's SQL code generation suffers from significant runtime overheads related to data access and de-serialization. Such performance penalty can be significant, especially when applications operate on human-readable data formats such as CSV or JSON. In this paper we present a new approach to query compilation that overcomes these limitations by relying on run-time profiling and dynamic code generation. Our new SQL compiler for Spark produces highly-efficient machine code, leading to speedups of up to 4.4x on the TPC-H benchmark with textual-form data formats such as CSV or JSON.
Microstructures and Mechanical Properties of Laser-Sintered Commercially Pure Ti and Ti-6Al-4V Alloy for Dental Applications

To apply laser-sintered titanium (Ti) materials to dental prostheses with a three-dimensional structure such as partial dentures, we examined the microstructures and mechanical properties of commercially pure (CP) Ti grade (G) 2 annealed after laser sintering and laser-sintered (as-built) Ti-6Al-4V alloy. The tensile and fatigue properties of CP Ti G 2 annealed at 700 °C for 2 h after laser sintering were close to those of wrought CP Ti G 2 annealed at the same temperature after hot forging. The ultimate tensile strengths (σUTS) of 90°- and 0°-direction-built CP Ti G 2 rods after laser sintering 10 times were 553 and 576 MPa and the total elongations (TE) of these rods were 26% and 28%, respectively. The fatigue strengths (σFS) at 107 cycles of the 90°- and 0°-direction-built CP Ti G 2 rods after laser sintering 10 times were ~320 and ~365 MPa, respectively. The ratio σFS/σUTS was in the range of 0.5–0.7. The changes in the chemical composition and mechanical properties after laser sintering 10 times were negligible. The fatigue strength of the laser-sintered Ti-6Al-4V alloy was ~600 MPa, which was close to that of wrought Ti-6Al-4V alloy. These findings indicate that the laser-sintered CP Ti and Ti-6Al-4V alloy can also be applied in dental prostheses similarly to laser-sintered Co–Cr–Mo alloy. In particular, it was clarified that laser sintering using CP Ti G 4 powder is useful for dental prostheses.
Brain network dynamics fingerprints are resilient to data heterogeneity

Context. Large multi-site neuroimaging datasets have significantly advanced our quest to understand brain-behavior relationships and to develop biomarkers of psychiatric and neurodegenerative disorders. Yet, such data collections come at a cost, as the inevitable differences across samples may lead to biased or erroneous conclusions. Objective. We aim to validate the estimation of individual brain network dynamics fingerprints and appraise sources of variability in large resting-state functional magnetic resonance imaging (rs-fMRI) datasets by providing a novel point of view based on data-driven dynamical models. Approach. Previous work has investigated this critical issue in terms of effects on static measures, such as functional connectivity and brain parcellations. Here, we utilize dynamical models (hidden Markov models—HMM) to examine how diverse scanning factors in multi-site fMRI recordings affect our ability to infer the brain’s spatiotemporal wandering between large-scale networks of activity. Specifically, we leverage a stable HMM trained on the Human Connectome Project (homogeneous) dataset, which we then apply to an heterogeneous dataset of traveling subjects scanned under a multitude of conditions. Main Results. Building upon this premise, we first replicate previous work on the emergence of non-random sequences of brain states. We next highlight how these time-varying brain activity patterns are robust subject-specific fingerprints. Finally, we suggest these fingerprints may be used to assess which scanning factors induce high variability in the data. Significance. These results demonstrate that we can (i) use large scale dataset to train models that can be then used to interrogate subject-specific data, (ii) recover the unique trajectories of brain activity changes in each individual, but also (iii) urge caution as our ability to infer such patterns is affected by how, where and when we do so.
Influence of Changes of Catchment Permeability and Frequency of Rainfall on Critical Storm Duration in an Urbanized Catchment—A Case Study, Cracow, Poland

The increase of impermeable areas in a catchment is known to elevate flood risk. To adequately understand and plan for these risks, changes in the basin water cycle must be quantified as imperviousness increases, requiring the use of hydrological modeling to obtain design runoff volumes and peak flow rates. A key stage of modeling is adopting the structure of the model and estimating its parameters. Due to the fact that most impervious basins are uncontrolled, hydrological models that do not require parameter calibration are advantageous. At the same time, it should be remembered that these models are sensitive to the values of assumed parameters. The purpose of this work is to determine the effect of catchment impermeability on the flow variability in the Sudół Dominikański stream in Cracow, Poland, and assess the influence of the frequency of rainfall on values of time of concentration (here it is meant as critical storm duration). The major finding in this work is that the critical storm duration for all different scenarios of catchment imperviousness depends on the rainfall exceedance probability. In the case of rainfall probability lower than 5.0%, the critical storm duration was equal to 2 h, for higher probabilities (p ≥ 50%) it was equal to 24 h. Simulations showed that the increase of impermeable areas caused peak time abbreviation. In the case of rainfall with exceedance probability p = 1.0% and critical storm duration Dkr = 2 h, the peak time decreased about 12.5% and for impermeable areas increased from 22.01 to 44.95%.
DDDT_A_235388 257..263

Yi-Sin Wong Sheng-Feng Sung 2 Chi-Shun Wu Yung-Chu Hsu Yu-Hsiang Su Ling-Chien Hung Cheung-Ter Ong 1Department of Family Medicine, Chia-Yi Christian Hospital, Chia-Yi, Taiwan; 2Department of Neurology, Chia-Yi Christian Hospital, Chia-Yi, Taiwan Background: Intravenous tissue plasminogen activator (tPA) (0.9 mg/kg, maximum 90 mg) with a bolus of 10% of the total dose given within 1–2 mins is the standard therapy for patients receiving thrombolytic therapy. Low-dose (0.6 mg/kg) tPA is also approved for thrombolytic therapy for ischemic stroke patients. Low-dose tPA is associated with a low bolus dose. It is unknown whether increasing the bolus dose in patients receiving low-dose tPA thrombolysis may improve outcomes or increase the risk of hemorrhagic transformation (HT). Aim: This study investigated the impact of the bolus dose on the outcome in ischemic stroke patients receiving low-dose tPA thrombolytic therapy. Methods: In this retrospective, observational study, we enrolled 214 ischemic stroke patients receiving low-dose tPA thrombolytic therapy. Of these 214 patients, 107 patients received 10% of the total dose as a bolus dose, and 107 patients received 15% of the total dose as a bolus dose. The National Institutes of Health Stroke Score (NIHSS) were evaluated before tPA infusion, 24 h after thrombolytic therapy, and at discharge. Stroke severity was categorized as mild (0–5), moderate (6–14), severe (15–24), or very severe (≥25). Neurological improvement (NI) was defined as an improvement of 6 or more points in the NIHSS, and no response (NR) was defined as an increase in the NIHSS of ≤4 points or a decrease ≤6 points. Neurological deterioration (ND) was defined as an increase in the NIHSS >4 points. A good outcome was defined as a modified Ranking Score (mRS) of 0 or 1. We compared the NI, NR, and ND rates at 24 hrs after thrombolytic therapy and discharge between the 15% and 10% bolus dose groups. Results: In patients with mild and moderate stroke, there was no significant difference in the NI, NR, ND, and HT rates and 6-month outcomes between the 15% and 10% bolus groups. In patients with severe and very severe stroke, outcomes at 6 months were significantly better in the 15% bolus group than in the 10% bolus group. The factors affecting the outcomes of severe and very severe stroke patients are hypertension and bolus dose. Conclusion: In severe and very severe stroke patients receiving low-dose tPA thrombolytic therapy, a bolus dose of 15% of the total dose can improve outcomes.
WST 50.4 ODOUR03-045 corr

In this paper, the authors present a technique aimed at increasing the efficiency of biological waste air treatment. The objective is to modify the existing biological waste air treatment systems (i.e. biofilters) to reduce the emitted substances and their potential environmental impacts. The principle of the ionization system is described, along with the first experiences of applying those methods during the rotting process. The investigated system is evaluated by means of life cycle impact assessment, with a focus on odour. It is demonstrated which of the measured substances (i.e. VOC) can potentially contribute to the odorant concentration. Further, it is shown which odour-intensive substances can be reduced by deploying ionization. Finally, the authors respond to the fact that the cleaning efficiency of ionization strongly depends on the humidity of the treated waste gas stream.
Metallic Pollution and the Use of Antioxidant Enzymes as Biomarkers in Bellamya unicolor (Olivier, 1804) (Gastropoda: Bellamyinae)

Industrial and domestic discharges of effluent is one of the major causes of heavy metal pollution in aquatic ecosystems. Samples of benthic sediment and freshwater mollusc Bellamya unicolor were collected from 5 sites in the River Kaduna to determine heavy metal concentration, their ecological risk, and antioxidant enzymes activities in Bellamya unicolor. The results revealed the level of pollution based on heavy metal concentrations across the sites in the order S5 > S3 > S4 > S1 > S2. The ecological risk factor (ErF) revealed that Cd made the highest contribution to pollution, recording the highest ErF (2206.41). Moreover, the results of correlation base multivariate analysis showed that urban and industrial waste were the sources of Cu and Pb in the River Kaduna. The significant positive correlation between metal concentration and antioxidants catalase (CAT) and superoxide dismutase (SOD) was established, with maximum activities of antioxidants at site S5. Results from this study have revealed potential ecological risk as a result of heavy metals pollution in the River Kaduna. Hence the need for approaches and policies be put in place to prevent the discharge of untreated industrial and domestic waste into this aquatic ecosystem.