Miracle-dz/UniFAR-FTUs huggingface dataset:
Flow-Field Analysis of a Typical Hydrogen-Fueled Dual-Mode Scramjet Combustor

As one of the most promising propulsive systems for future hypersonic vehicles, the hydrogen-fueled dual-mode scramjet com- bustor has drawn the attention of an ever increasing number of researchers. The two-dimensional coupled implicit NS equations, the standard k � e turbulence model, and the finite-rate/eddy-dissipation reaction model have been applied to numerically simulate the flow field of the dual-mode scramjet combustor, including the conditions of engine ignition and cold flow. The effect of the injection pressure and temperature on mode transition, and the movement of the shock-wave train, has been discussed. At the same time, the influence of the injection modes, namely, the transverse and horizontal, on the flow field of the combustor has been investigated. The obtained results show that the mode transition can be carried out by increasing the injection pressure and decreasing the injection temperature simultaneously. However, when the injection pressure is too high, the shock-wave train is pushed out of the isolator toward the entrance, and this causes inlet unstart. It has been found that the effect of the injection temperature on mode transition is smaller than that of the injection pressure. It is not easy to achieve mode transition when the fuel is injected horizontally into the airflow, and the combustion efficiency is lower than when the fuel is injected trans- versely. DOI: 10.1061/(ASCE)AS.1943-5525.0000136. © 2012 American Society of Civil Engineers. CE Database subject headings: Aerospace engineering; Combustion; Vehicles; Hydrogen; Fuels. Author keywords: Aerospace propulsion system; Scramjet combustor; Mode transition; Shock wave train; Hypersonic vehicle.
Evaluation of association between parameters related to penetration into cerebrospinal fluid and the microbiological efficacy of vancomycin in patients with bacterial meningitis

Abstract Vancomycin (VM) is used as empirical therapy for bacterial meningitis (BM). We investigated the relationship of the microbiological efficacy of VM for BM with VM minimum inhibitory concentration (MICVM), serum VM trough concentration (VMser) and cerebrospinal fluid (CSF) protein (P)/serum albumin (SA) ratio, which may reflect the extent of blood–brain barrier (BBB) disruption. Twelve BM patients were enrolled and VM was microbiologically effective in seven (58.3%). VMser, MICVM, and CSF-P/SA ratio were not associated with the microbiological efficacy of VM. The microbiological efficacy of VM was significantly associated with CSF-P/SA ratio multiplied by VMser relative to the MICVM (η = 0.61, p = 0.04). These results indicate that the parameter combining VMser, MICVM, and the extent of BBB disruption could be associated with the microbiological efficacy of VM in BM patients.
Tectonic controls on geomorphology and spatial distribution of monogenetic volcanoes in the Central Southern Volcanic Zone of the Andes (Argentina)

Monogenetic volcanoes are among the most common volcanic landforms on Earth. The morphology and distribution of small volcanoes can provide important information about eruption dynamics and tectonics. The Southern Volcanic Zone of the Andes (CSVZ) comprises one of the most active magmatic regions on Earth. Characterized by the presence of polygenetic volcanoes and calderas in a complex tectonic setting, this region also hosts hundreds of small, back-arc monogenetic volcanoes. In this contribution, we apply a Geographic Information System (GIS) that combines imagery data and digital elevation models to establish the first comprehensive dataset of monogenetic volcanoes in the CSVZ (38° to 40° S), exploring their eruption dynamics and relationship to tectonic and structural processes. Combining spatial analysis and geomorphological observations, we identify the presence of 356 monogenetic volcanoes distributed into nine clusters, now grouped in the Zapala Volcanic Field (ZVF). The ZVF is marked by the predominance of cinder cones (80%) followed by phreatomagmatic volcanoes (20%), suggesting some influence of external water in the eruption dynamics. Generally, monogenetic vents present a clear association with local and regional lineaments, suggesting a strong structural control on the occurrence of the monogenetic deposits. The higher vent densities are observed in the southern Loncopué Though, an important extensional feature related to tearing of the subducted Nazca plate underneath the South American Plate. Morphometric parameters of cinder cones indicate variable stress orientations in the CSVZ that possibly result from the oblique tectonics in the region. From north to south, the maximum principal stress rotates from NE-SW to E-W and becomes progressively less constrained as it distances from the current magmatic arc. Based on the relative ages, we map the evolution of monogenetic volcanism through time. Our results suggest a waning in the monogenetic activity in ZVF over time. When compared to monogenetic fields in the Central Andes, the ZVF is marked by higher vent densities and number of phreatomagmatic landforms, with the absence of lava domes. This ultimately reflects the contrasting crustal structure and climate conditions of these two regions.
Malocclusion Among 10- to 12-Year-Old Male Schoolchildren in Qassim Region of Saudi Arabia: A Retrospective Epidemiological Study

Objective To identify the prevalence of malocclusion in late mixed dentition in Qassim region of Saudi Arabia. This will be the first epidemiological study of its kind in this region. It will be very helpful for planning effective preventive measures and therapy programs. Materials and methods This study was performed in Qassim region, Saudi Arabia starting from October 2018 to March 2019. The examination was performed by two well-trained general dentists after using a specially prepared clinical examination form. A total of 536 children aged between 10 and 12 and those who met the inclusion criteria have been examined for Angle’s relationship, overjet, overbite, crossbite, midline deviation and lip competent. Results Class I relation accounted for the highest percentage of the sample, whilst 31.3% presented with Class I ideal occlusion, and 48.9% Class I with malocclusion. This was followed by Class II malocclusion (12.5% of the sample), and Class III accounted for the lowest proportion (7.3%). Increased overjet was present in 34.4% of the sample, whereas 3.9% had edge-to-edge and 2.2% a reverse overjet. Regarding overbite, 39% reported increased overbite, whilst 3% had open bite. A total of 63 children presented with crossbite - 6.15% had anterior crossbite, 5% unilateral posterior, and 0.5% bilateral posterior. Regarding the midline, only visible and noticed deviation was recorded. The results showed that 90% had no deviation, while 10% had a deviated midline. Regarding lip competence, only 12.1% had an incompetent lip. Conclusion Early intervention and correction of occlusal discrepancies will facilitate the treatment and eliminate possible defects in developing dental arches.
An Epidemiological Study of COVID-19 Cases in Al-Leith, Saudi Arabia

Background and objective Ever since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first detected in December 2019, more than 0.550 million cases of coronavirus disease 2019 (COVID-19) have been reported in the kingdom of Saudi Arabia (KSA) and the number is on the rise. In this study, we aimed to perform an epidemiological analysis of COVID-19 cases in Al-Leith, KSA. Methods A community-based descriptive study was carried out to assess the epidemiology of COVID-19 in Al-Leith, KSA. The relevant data were collected using a questionnaire designed for this study, which included questions on basic information and characteristics in addition to data on COVID-19. Data were analyzed using the SPSS Statistics software (IBM, Armonk, NY). Results The significant findings were as follows: people aged between 26-40 years were more affected (55.7%) than other age groups, and more than half (74.1%) of COVID-19 patients were female; most of them were employed (85, 48,9%), and most of those got infected through direct contact (137, 78.7%) with other infected people. About 163 (93.7%) cases were asymptomatic, and 168 (96.6%) cases were notified to the health authorities. The findings also illustrated that 78 (44.8%) COVID-19 cases suffered from psychological impact due to infection; 83 (47.7%) cases had at least one case in the family before they became infected. The majority of cases (93.7%) suffered from symptomatic COVID-19. A considerable number of COVID-19 patients did not follow precautions before and after infection. Conclusions The study concluded that various age groups were susceptible to developing COVID-19, and direct contact was the main mode of transmission. Moreover, a considerable number of infected people did not adhere to precautionary measures.
Micromechanical Analysis of Viscoelastic Properties of Asphalt Concretes

A methodology for relating the microstructure of asphalt concretes to their viscoelastic behavior is described. Imaging techniques are used to capture the asphalt concrete microstructure, and the finite element method (FEM) is used to model its stress-strain behavior in the time domain. Aggregates are modeled as linear elastic, and the binder is modeled through mechanistic models as either linear viscoelastic or nonlinear viscoelastic. The binder viscoelastic properties are input into the FEM algorithm by two methods: a built-in viscoelastic function and a user-specified material characterization subroutine. The latter handles non-linearity in an iterative piecewise linear fashion, whereby the mechanistic binder model parameters are updated as a function of the strain level. For each strain level, mechanistic models are fitted to describe binder viscoelastic behavior based on dynamic shear rheometer data. The two approaches used for specifying binder viscoelastic properties into the FEM algorithm were verified by comparing binder response predictions with direct measurements. Finally, the asphalt concrete micro-structure model was verified by comparing FEM predictions of dynamic shear modulus and phase angle with measurements obtained by using a Superpave® shear tester.
Semantic Representations during Language Comprehension Are Affected by Context

The meaning of words in natural language depends crucially on context. However, most neuroimaging studies of word meaning use isolated words and isolated sentences with little context. Because the brain may process natural language differently from how it processes simplified stimuli, there is a pressing need to determine whether prior results on word meaning generalize to natural language. fMRI was used to record human brain activity while four subjects (two female) read words in four conditions that vary in context: narratives, isolated sentences, blocks of semantically similar words, and isolated words. We then compared the signal-to-noise ratio (SNR) of evoked brain responses, and we used a voxelwise encoding modeling approach to compare the representation of semantic information across the four conditions. We find four consistent effects of varying context. First, stimuli with more context evoke brain responses with higher SNR across bilateral visual, temporal, parietal, and prefrontal cortices compared with stimuli with little context. Second, increasing context increases the representation of semantic information across bilateral temporal, parietal, and prefrontal cortices at the group level. In individual subjects, only natural language stimuli consistently evoke widespread representation of semantic information. Third, context affects voxel semantic tuning. Finally, models estimated using stimuli with little context do not generalize well to natural language. These results show that context has large effects on the quality of neuroimaging data and on the representation of meaning in the brain. Thus, neuroimaging studies that use stimuli with little context may not generalize well to the natural regime. SIGNIFICANCE STATEMENT Context is an important part of understanding the meaning of natural language, but most neuroimaging studies of meaning use isolated words and isolated sentences with little context. Here, we examined whether the results of neuroimaging studies that use out-of-context stimuli generalize to natural language. We find that increasing context improves the quality of neuro-imaging data and changes where and how semantic information is represented in the brain. These results suggest that findings from studies using out-of-context stimuli may not generalize to natural language used in daily life.
Effects of Sensor Cover Damages on Point Clouds of Automotive Lidar

Safe automated driving requires reliable perception sensors with low fault rates. Detecting perception sensor faults before path planning avoids fault propagation through the processing pipeline of automated vehicles. As the basis for further development of fault detection algorithms, the present work presents effects of damaged lidar sensor covers considering scratches, cracks, and holes. We used an automotive lidar, which provides point clouds, and calculated deviations between the lidar points on a target and an ideal plane representing the target to evaluate the effect of damaged covers. Results show that sensor cover damages have an effect on point cloud data.
Brief Mindfulness Instruction Increases Prosocial Helping of an Ostracized Racial Outgroup Member

Two experiments tested whether brief instruction in mindfulness increased helping behavior toward an ostracized racial outgroup member by enhancing empathic concern. In Study 1, brief mindfulness instruction, relative to active and inactive control conditions, increased helping behavior toward an ostracized racial outgroup member in a private (but not in a public) context. In Study 2, which involved greater anonymity, mindfulness instruction increased both private and public helping behavior toward an ostracized racial outgroup member relative to the two control conditions. Importantly, measured empathic concern accounted for a portion of the variance in the causal relation between mindfulness and interracial helping behavior in Study 2. Together these studies suggest that brief mindfulness training increases interracial prosocial responsiveness in a digitally mediated context, particularly when personal anonymity was greater.
Data-Driven Coordinated Charging for Electric Vehicles With Continuous Charging Rates: A Deep Policy Gradient Approach

In this article, we consider a parking lot that manages the charging processes of its parked electric vehicles (EVs). Upon arrival, each EV requests a certain amount of energy. This request should be fulfilled before the EV’s departure. It is of critical importance to coordinate the EVs’ charging rates to smooth out the load profile of the parking lot because inappropriate charging rates can lead to sharp spikes and fluctuations on the load profile, imposing negative effects on the power grid. Meanwhile, empirical studies show that many parking lots exhibit statistical patterns on EV dynamics. For example, the bulk of EVs arrives during rush hours. Therefore, in this article, we incorporate such patterns into charging rate coordination. Although the statistical patterns can be summarized from historical data, they are difficult to be analytically modeled. As a result, we adopt a model-free deep reinforcement learning approach. We also take the latest continuous charging rate control technology into consideration. The decision variables are thus continuous and a policy gradient algorithm is needed to perform reinforcement learning. Technically, we first formulate the problem as a Markov decision process (MDP) with unknown state transition probabilities. To further derive a deep policy gradient algorithm, the challenge lies in the inconsistent and state-dependent action space of the MDP model, due to the constraint to satisfy EVs’ energy demands before their scheduled departure. To tackle the challenge, we design a customized model for neural network training by extending the action space to be consistent and state independent, and revise the reward function to penalize the neural network output if it is beyond the action space of the original MDP model. With this customized model, we then develop a deep policy gradient algorithm based on the proximal policy gradient framework. Numerical results show that our algorithm outperforms the benchmarks.
Erratum to “Validation of Replay-Based Underwater Acoustic Communication Channel Simulation” [R. Otnes, P. A. van Walree, T. Jenserud, IEEE J. Ocean. Eng., DOI: 10.1109/JOE.2013.2262743]

In the first row of Table I of the above-named article, the following reference numbers should be fixed: reference [12] should be [13], reference [13] should be [14], reference [11] should be [12], and reference [20] should be [21]. The corrected version of Table I is included here.
RELATIONSHIPS BETWEEN BODY AND SCROTAL MEASUREMENT S, AND SEMEN CHARACTERISTICS IN YANKASA RAM

The study was conducted to determine the relationsh ips between body measurements, scrotal and seminal characteristics using 62 Yankasa rams at th e Teaching and Research Farm of the Department of Animal Science, Ahmadu Bello University, Zaria, Nigeria. Body measurements related positively with testicular measurements (0.40-0.83). Body (0.27-0.4 8) and testicular (0.25-0.48) measurements were positively related to semen characteristics. Howeve r, the relationship between semen pH and sperm concentration was negative (-0.29 to -0.38), with t esticular dimension (-0.30 to -0.38) and with body measurements (-0.29 to -0.38). The study revealed t hat efficient fertility of Yankasa rams and subsequent conception rate in ewes would depend on the interactions of these variables.
Long-term follow-up of mandibular dental arch changes in patients with complete non-syndromic unilateral cleft lip, alveolus, and palate

Background Treatment of cleft lip and palate (CLP) requires a comprehensive interdisciplinary approach and long-term follow-up. Only a few studies are available that reported on changes after treatment, which showed that in particular the transverse dimension, in patients with CLP is prone to changes after treatment. However, those studies did not pay attention to concomitant changes in the mandibular arch that occur after treatment. Objectives To evaluate mandibular transverse dental arch dimensions and interarch transverse changes in patients with complete non-syndromic unilateral cleft lip, alveolus, and palate (CUCLAP) up to five years after treatment. Material and Methods Retrospective longitudinal study in 75 consecutive patients with CUCLAP directly after comprehensive treatment (T0), two (T2), and 5 years after treatment (T5). Great Ormond Street, London and Oslo (GOSLON) scores were available for all patients. Three-dimensional scans of all dental casts were made. Inter premolar and intermolar distances between the mandibular contralateral teeth were measured. The modified Huddart Bodenham (MHB index) was applied to assess the transverse interarch relationship. Paired t-tests and ANOVA were used to analyze transverse and interarch transverse changes. Linear regression analysis was done to define contributing factors. Results Paired t-tests showed a significant decrease of the mandibular inter first and second premolar distances (p < 0.05) and an increase of the inter second molar distance, whilst the MHB Index deteriorated at all time points for all segments and for the total arch score (p < 0.05). Linear regression showed no significant contributing factors on the decrease of the transverse distances. However, inter arch transverse relationship was significantly affected by age at the end of treatment, missing maxillary lateral incisor space closure, and the GOSLON Yardstick score at the end of treatment (p < 0.05), especially during the first two years after treatment. Conclusions Changes occurred in the mandibular arch expressed as changes in the transverse dimensions and interarch relationship measured by the MHB Index. A younger age at the end of treatment, space closure for a missing maxillary lateral incisor and a higher GOSLON score at the end of treatment negatively influence the interarch transverse deterioration especially in the first two years after treatment. For the transverse dimensional changes in the mandibular arch such influencing factors could not be determined.
Isolation and Identification of Hydrocarbon-Degrading Bacteria from Polychaete Marphysa moribidii

Marine contamination caused by anthropogenic activities has side effects and causes severe contamination to the environment. Polychaetes are benthic organisms that live in the sediment and can be a good indicator of sediment contamination by organic compounds. In this study, bacterial strains were isolated and identified from the gut of polychaete worm Marphysa moribidii and the potential of the bacteria was evaluated to degrade hydrocarbon compounds. The isolated bacteria were primary and secondary screened on Minimal Salt Media (MSM) agar supplemented with 1% v/v of diesel oil. Diesel degradation analysis was performed by inoculating potential bacterium into MSM broth with 1% v/v diesel oil and incubated at 37 oC for 20 days. Diesel degradation percentage was analyzed using the gravimetric method, while the bacteria cell densities were measured using the standard plate count method. Then, the selected isolates were identified based on their morphological characteristics and 16S rDNA sequences. As a result, two bacteria isolates coded as Isolate 6 and Isolate 8 were able to degrade diesel oil up to 52.29% and 39.24% after 20 days of incubation. The 16S rDNA sequence analysis revealed that it was identified as Bacillus sp. strain UMTFA1 (RB) and Staphylococcus kloosii strain UMTFA2 (RS). Our result showed that these strains have the potential in oil-degrading processes, which will provide new insight into bioremediation process and decrease environmental pollution in soil and water contaminated with hydrocarbons.
EFFECTS OF THE SPORT EDUCATION MODEL ON UNIVERSITY STUDENTS GAME PERFORMANCE AND CONTENT KNOWLEDGE IN BASKETBALL

Many universities offer an abundant amount of physical activity courses designed to improve student knowledge and performance which may lead to increased fitness involvement. This study examined the effect of Sport Education model on university students’ (N = 25, 22 males, 3 females) basketball game performance and content knowledge of a physical activity course. Students were taught using either the Sport Education instructional model or a traditional method of teaching basketball. Data were collected to determine game efficiency through the examination of game statistics, offensive game performance measured by the basketball offensive game performance instrument, and content knowledge through the completion of a pre-and-post examination. Results revealed that students in the Sport Education group improved significantly in their offensive game performance and content knowledge compared to a traditional teaching model. In addition, the game efficiency of the Sport Education group did slightly improve while the students in the traditional group did experience a decrease. These findings suggest that the Sport Education model is an effective pedagogical approach for improving game performance and sport content knowledge of university students. Based on the limited amount of research on the impact of the Sport Education model with university physical activity courses, future studies should continue to examine the effectiveness of the model.