Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Students Geometric Thinking through Phase-Based Instruction Using Geogebra to Teach Circle Theorem at Abetifi College of Education

The purpose of this study was to determine the effect of GeoGebra on conceptual and procedural knowledge of Geometry. The study involved about 147 Students of Abetifi Presbyterian College of Education. A total of eighty – four (84) students were involved in both the Pre-intervention and the Post intervention methods for both Science B and Maths F classes and 63 students were in the control group. The data was collected using the Pre and the Post interventions of GeoGebra method and Lecture Methods respectively with the assistance of paired sampled t test. The results of the Pre – test between Science B and Maths F classes recorded 0.628, 0.534 0.05 t   which indicates that we retain the 0 H and reject the a H . The Pretest and Posttest between Science B class recorded 14.351, 0.000 . 05 t   , the Pre-test and Post tests for Maths F class recorded 10.314, 0.000 . 05 t   , and the Post – test of both Maths F and Science B classes also recorded 6.716, 0.000 . 05 t    , which is an indication that the null Hypothesis ( 0 H ) is rejectedbut retained the alternate Hypothesis ( a H ). This shows that the Posttest method (GeoGebra) is more preferred than the Pretest (lecture method) considering their means and standard deviations. The findings of this study revealed that the use of GeoGebra was useful and meaningful to the Mathematics Departments in all the Teacher Colleges across the Country. From the data, it is realized that the introduction of GeoGebra influenced the educational practice in three dimensions, namely: classroom practice, cognitive development, pedagogical development and learning attitudes.
Effects of Stocking Density on Growth,Survival,Production,and Size Variation of the Common Carp Cyprinus Carpio Linnaeus(1758)Fry Within Aquariums

Eel is one of the most important aquaculture species in Asia.Taiwan,Japan,andChina are the leading eel-producing countries,contributing to about 90% of the world eelaquaculture production.Since the technology on larval rearing has not yet beenestablished,the glass eel supply is entirely dependent on natural harvest,which limits thescale and area of eel aquaculture.Such dependence results in the fluctuation of seedprices and the instability of the industry's development.Since the seed expensecontributes to 30%-60% of the eel production cost,it is believed that the commercializationof larval rearing technology will be able to abate the eel production cost,and therefore,elevate the competitiveness of eel aquaculture.The Domestic Resource Cost(DRC)index was used in this research to analyze the impact of successful propagation on thecompetitiveness of the eel aquaculture in Taiwan,Japan,and China.Our results suggestthat the first country to successfully achieve the technique in larval rearing would berewarded with the most profit.This paper also provides some suggestions to improve thecompetitiveness of the eel aquaculture in Taiwan,Japan,and China.
FOCUS IDENTIFICATION IN ENGLISH, GREEK AND SWEDISH

Three experiments of focus identification are reported one each for American English, Greek and Swedish. In the first experiment, listeners were presented with isolated sentences as well as sentences extracted from question-answer contexts and were asked to identify focus distribution. In the second experiment, questions were paired with prosodically variable answers and listeners were asked to identify the matching pairs. In the third experiment, lexical words were extracted from their sentence context and listeners were asked to identify focalised words. The results indicate the following: (1) isolated sentences have variable focus identifications but no final-focus bias; (2) focus is best identified at non-final position; (3) focus is identified in the question-answer contexts of the corresponding prosodic pairs; (4) lexical words out of immediate sentence context have variable focus identifications.
Hydrogen Plasma-Assisted Spatial Atomic Layer Deposition of SnOx

The fabrication of p-type metal oxide semiconductors on an industrial scale would open up a lot of possibilities for electronic devices. The growth of tin oxide thin films by Spatial Atomic Layer Deposition is investigated with the goal of producing p-type metal oxide thin films on a commercially viable scale. Tetrakis(dimethylamino)tin(IV) is used as a precursor for this process, since it is the only wide-scale available tin precursor for Atomic Layer Deposition. As a tin(IV) precursor, the thermal process with water as a co-reactant results typically n-type tin dioxide thin films however. Following up on previous research, an in-situ hydrogen-nitrogen plasma is added as an additional step to the deposition process to in-situ reduce the tin to lower oxidation states. Central to this report are the following topics: (i) the feasibility of using this plasma in tin oxide Spatial Atomic Layer Deposition, (ii) the difference in material properties resulting from the thermal and the hydrogen plasma-assisted tin oxide process, (iii) the resulting change reaction mechanisms and (iv) a comparison of these samples to p-type tin monoxide. A large number of both thermal and hydrogen plasma-assisted tin oxide are deposited and characterized. The effects of exposure time, plasma composition and various other deposition parameters are studied in order to characterize the differences between both processes. The growth per cycle as a function of the exposure time is modelled to investigate possible reaction mechanisms. To determine whether the fabrication of p-type tin oxide thin films is possible a tin monoxide reference sample is obtained for comparison of the material properties. The growth of hydrogen plasma-assisted tin oxide was shown to be a reproducible process. This process does not result in p-type tin monoxide and is instead similar to the tin dioxide from the thermal deposition process. There are however slight changes in the optical and electrical properties and the hydrogen plasma-assisted samples contain some nitrogen impurities. The most significant difference between the processes is the thermal process having a large deposition temperature dependency, which is not present for the hydrogen plasma-assisted process. It is concluded that these changes are due to the hydrogen plasma successfully reducing the tin to lower oxidation states, but the tin is re-oxidized when reacting to the water precursor. The growth rate of the hydrogen plasma-assisted tin oxide process is in contrast to the thermal tin oxide not dependent on the amount of hydroxide ligands which form during the deposition. From comparison to kinetic models the growth rate of hydrogen plasma-assisted tin oxide appears to be limited by the amount of precursor dosed to the substrate rather than the chemical reaction rates.
nTRACER Solutions of the Two-Dimensional VVER Benchmark Problems

nTRACER [1] has recently equipped with a calculation capability to deal with hexagonal geometries with the hexagonal ray tracing module and the hexagonal CMFD acceleration [2]. The calculation accuracy of nTRACER for hexagonal geometries was verified in reference 2 for benchmark problems with C5G7 benchmark cross-sections. As a practical reactor core simulator, however, nTRACER needs to perform further verifications, which consist of real materials of the reactor core. VVER benchmark is a good problem for this evaluation of nTRACER, because it consists of hexagonal assemblies under PWR conditions, and the SNURPL multi-group library, which was verified to have a low error in homogenization [3], is available to be used for nTRACER calculation. In this paper, current improvements in nTRACER are briefly introduced. nTRACER solutions for fuel pin, fuel assembly, and core problems of VVER-440 and VVER-1000, then, are presented. The continuous McCARD [4] solution was selected as a reference solution.
Effectiveness of anemia herbal formula containing Curcuma zanthorrhiza, Elephantopus scaber and Amaranthus tricolor in iron deficiency anemia patients

Fitriani U, Zulkarnain Z, Novianto F, Wijaya E, Triyono A. 2020. Effectiveness of anemia herbal formula containing Curcuma zanthorrhiza, Elephantopus scaber, and Amaranthus tricolor in iron deficiency anemia patients. Biodiversitas 21: 2289-2296. Anemia becomes one of the major health problems. Iron supplements often cause discomfort in the digestive tract and it had been related to low compliance. Further research is needed on herbal formulas that have the potential to be complementary or alternative therapies for iron deficiency anemia which is safe and not interfere with digestive tract. This study aimed to evaluate the effectiveness of anemia herbal formula containing Curcuma zanthorrhiza Roxb. , Elephantopus scaber, and Amaranthus tricolor compared with iron supplement in Iron Deficiency Anemia (IDA) participants. A total of 128 participants with IDA were recruited and randomly assigned into anemia herbal formula (AH) (n=64) and iron supplement (IS) (n=64). Outcome measures were assessed 4 weeks after intervention. The outcomes of this study were hemoglobin (Hb), mean corpuscular volume (MCV), serum iron (SI), total iron binding capacity (TIBC), and quality of life (QOL) by using short form-36 (SF-36). After 28 days of intervention, there was an increase of Hb, MCV, SI values, and SF-36 scores and a decrease of TIBC values in both groups. Significant differences were found in the mean of Hb, MCV, and SI (p<0,05), the higher values were found in IS group. Significant difference also occurred in the mean of TIBC, the SI group had lower value than AH group. In contrast, no significant difference in the mean of quality of life scores between two groups. Anemia herbal formula proved to be an effective complementary therapy by improving QOL in IDA patients.
Love during lockdown: findings from an online survey examining the impact of COVID-19 on the sexual health of people living in Australia

Introduction Australia recorded its first case of COVID-19 in late January 2020. On 22P March 2020, amid increasing daily case numbers, the Australian Government implemented lockdown restrictions to help ‘flatten the curve’. Our study aimed to understand the impact of lockdown restrictions on sexual and reproductive health. Here we focus on sexual practices. Methods An online survey was open from the 23PP April 2020 to 11P May 2020. Participants were recruited online via social media and other networks and were asked to report on their sexual practices in 2019 and during lockdown. Logistic regression was used to calculate the difference (diff) (including 95% CIs) in the proportion of sex practices between time periods. Results Of the 1187 who commenced the survey, 965 (81.3%) completed it. Overall, 70% were female and 66.3% were aged 18–29 years. Most (53.5%) reported less sex during lockdown than in 2019. Compared with 2019, participants were more likely to report sex with a spouse (35.3% vs 41.7%; diff=6.4%; 95% CI 3.6 to 9.2) and less likely to report sex with a girl/boyfriend (45.1% vs 41.8%; diff=−3.3%; 95% CI −7.0 to -0.4) or with casual hook-up (31.4% vs 7.8%; 95% CI −26.9 to -19.8). Solo sex activities increased; 14.6% (123/840) reported using sex toys more often and 26.0% (218/838) reported masturbating more often. Dating app use decreased during lockdown compared with 2019 (42.1% vs 27.3%; diff= −14.8%; 95% CI −17.6 to -11.9). Using dating apps for chatting/texting (89.8% vs 94.5%; diff=4.7%; 95% CI 1.0 to 8.5) and for setting up virtual dates (2.6% vs 17.2%; diff=14.6%; 95% CI 10.1 to 19.2) increased during lockdown. Conclusion Although significant declines in sexual activity during lockdown were reported, people did not completely stop engaging in sexual activities, highlighting the importance of ensuring availability of normal sexual and reproductive health services during global emergencies.
Ligand regulation of muscarinic acetylcholine receptor organisation

Muscarinic acetylcholine receptors (M1-M5) belong to the class A family of transmembrane G protein coupled receptors (GPCRs) and mediate various signalling processes. M1, M3 and M5 predominantly couple to Gq and promote intracellular calcium ion release from the endoplasmic reticulum. M2 and M4 preferentially couple Gi inhibiting adenylyl cyclase activity to thus decrease cAMP production and acting to regulate various ion channels. There is growing evidence that many GPCRs can exist as dimers or higher-order oligomers (Milligan, 2013) and muscarinic receptors are no exception (Alvarez-Curto et al., 2010). Herein, combinations of homomers and heteromers of co-expressed human M2 (hM2WT) and a RASSL (Receptor Activated Solely by Synthetic Ligand) form of the human M3 receptor (hM3RASSL) (Alvarez-Curto et al., 2011) were demonstrated to occur using N-terminal SNAP and CLIP tags in combination with homogeneous time resolved FRET (htrFRET). Stable Flp-In™ T-REx™ 293 cell lines able to inducibly express each of these receptor forms upon addition of doxycycline, and a cell line able to express both the hM3RASSL constitutively and hM2WT in a doxycycline inducible manner were generated. In these cells both hM3RASSL and hM2WT were detected after treatment with different concentrations of doxycycline via Western blots using tag-specific antibodies. Radioligand binding using [3H]-QNB indicated that similar amounts of hM2WT and hM3RASSL were expressed following induction with 5 ng.ml-1 doxycycline in the cells co-expressing the two receptors. Expression of the receptors was observed at the surface of live cells following labelling of the expressed receptors with SNAP and CLIP-specific cell impermeant substrates. Following induction with doxycycline each of hM2WT and hM3RASSL homomers and hM2WT-hM3RASSL heteromers were identified. Detection of oligomers was achieved following co-labelling with htrFRET-compatible substrates. Occupancy of hM2WT-hM3RASSL heteromers with the hM2WT agonist carbachol resulted in a marked, time and concentration-dependent decrease in detected heteromers and a concomitant, concentration-dependent increase in hM2WT homomers. The dynamics of interchange between heteromers and homomers was investigated by using a multiplex labelling approach and htrFRET. This method involved labelling with one energy donor and two energy acceptors capable of emitting at distinct wavelengths. Results confirmed the hM2WT-hM3RASSL heteromer to hM2WT homomer transition upon selective carbachol-mediated activation of hM2WT. A small increase in the hM3RASSL homomer was detected upon activation of the hM3RASSL with the selective agonist clozapine-N-oxide, but this was only observed in the absence of heteromers. Despite the presence of hM2WT-hM3RASSL heteromers the functional pharmacology of hM2WT and hM3RASSL receptor specific agonists was largely unaltered.
The effect of public health policies in the transmission of COVID-19 for South American countries

Objectives: The analysis of transmission dynamics is crucial to determine whether mitigation or suppression measures reduce the spread of Coronavirus disease 2019 (COVID-19). This study sought to estimate the basic (R0) and time-dependent (Rt) reproduction number of COVID-19 and contrast the public health measures for ten South American countries. Methods: Data was obtained from the European Centre for Disease Prevention and Control. Country-specific R0 estimates during the first two weeks of the outbreak and Rt estimates after 90 days were estimated. Results: Countries used a combination of isolation, social distancing, quarantine, and community-wide containment measures to contain the spread of COVID-19 at different points in time. R0 ranged from 1.52 (95% confidence interval: 1.13-1.99) in Venezuela, to 3.83 (3.04-4.75) in Chile, whereas Rt, after 90 days, ranged from 0.71 (95% credible interval: 0.39-1.05) in Uruguay to 1.20 (1.19-1.20) in Brazil. Different R0 and Rt values may be related to the testing capacity of each country. Conclusion: R0 in the early phase of the outbreak varied across the South American countries. The adopted public health measures in the initial period of the pandemic appear to have reduced Rt over time in each country.
Detectability of Ultra-compact X-Ray Binaries as LISA Sources

Ultra-compact X-ray binaries (UCXBs) are low-mass X-ray binaries with ultra-short orbital periods (usually less than 1 hr) and hydrogen-poor donor stars, which are proposed to be potential Laser Interferometer Space Antenna (LISA) sources. In this work, we first employ the Modules for Experiments in Stellar Astrophysics code to examine the parameter space of the progenitors of UCXBs that LISA will detect. Our simulations indicate that the initial binaries with a neutron star and a companion star, in an orbit of initial orbital period smaller than the bifurcation period, could evolve into UCXBs, some of which will emit gravitational wave signals that can be detectable by LISA. However, the initial orbital periods of the binaries that will evolve into UCXB-LISA sources in a distance of 10 kpc are located in a very narrow range, i.e., the formation of these LISA source requires an extreme fine-tuning of initial parameter. According to the characteristic strains and the derived maximum detectable distances, four sources among eight UCXBs with the observed distances are expected to be detected by LISA. Based on the parameter space given by the detailed binary evolution models and the rapid binary star evolution code, the birthrate of UCXBs appearing as LISA sources in the Galaxy is estimated to be . Considering the contribution of UCXBs in globular clusters, the number of UCXB-LISA sources can reach 240–320. Although the formation condition is severe, the detectability of UCXBs by LISA is still significant because it provides an opportunity to pursue full multi-messenger investigations.
Layer-Wise Training Convolutional Neural Networks With Smaller Filters for Human Activity Recognition Using Wearable Sensors

Recently, convolutional neural networks (CNNs) have set latest state-of-the-art on various human activity recognition (HAR) datasets. However, deep CNNs often require more computing resources, which limits their applications in embedded HAR. Although many successful methods have been proposed to reduce memory and FLOPs of CNNs, they often involve special network architectures designed for visual tasks, which are not suitable for deep HAR tasks with time series sensor signals, due to remarkable discrepancy. Therefore, it is necessary to develop lightweight deep models to perform HAR. As filter is the basic unit in constructing CNNs, it deserves further research whether re-designing smaller filters is applicable for deep HAR. In the article, inspired by the idea, we proposed a lightweight CNN using Lego filters for HAR. A set of lower-dimensional filters is used as Lego bricks to be stacked for conventional filters, which does not rely on any special network structure. The local loss function is used to train model. To our knowledge, this is the first paper that proposes lightweight CNN for HAR in ubiquitous and wearable computing arena. The experiment results on five public HAR datasets, UCI-HAR dataset, OPPORTUNITY dataset, UNIMIB-SHAR dataset, PAMAP2 dataset, and WISDM dataset collected from either smartphones or multiple sensor nodes, indicate that our novel Lego CNN with local loss can greatly reduce memory and computation cost over CNN, while achieving higher accuracy. That is to say, the proposed model is smaller, faster and more accurate. Finally, we evaluate the actual performance on an Android smartphone.
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing

The fragmentation problem has extended from Android to different platforms, such as iOS, mobile web, and even mini-programs within some applications (app), like WeChat. In such a situation, recording and replaying test scripts is one of the most popular automated mobile app testing approaches. However, such approach encounters severe problems when crossing platforms. Different versions of the same app need to be developed to support different platforms relying on different platform supports. Therefore, mobile app developers need to develop and maintain test scripts for multiple platforms aimed at completely the same test requirements, greatly increasing testing costs. However, we discover that developers adopt highly similar user interface layouts for versions of the same app on different platforms. Such a phenomenon inspires us to replay test scripts from the perspective of similar UI layouts. In this paper, we propose an image-driven mobile app testing framework, utilizing Widget Feature Matching and Layout Characterization Matching to analyze app UIs. We use computer vision (CV) technologies to perform UI feature comparison and layout hierarchy extraction on mobile app screenshots to obtain UI structures containing rich contextual information of app widgets, including coordinates, relative relationship, etc. Based on acquired UI structures, we can form a platform-independent test script, and then locate the target widgets under test. Thus, the proposed framework non-intrusively replays test scripts according to a novel platform-independent test script model. We also design and implement a tool named LIRAT to devote the proposed framework into practice, based on which, we conduct an empirical study to evaluate the effectiveness and usability of the proposed testing framework. The results show that the overall replay accuracy reaches around 65.85% on Android (8.74% improvement over state-of-the-art approaches) and 35.26% on iOS (35% improvement over state-of-the-art approaches).
An experiment for observing quantum gravity phenomena using twin table-top 3D interferometers

Theories of quantum gravity based on the holographic principle predict the existence of quantum fluctuations of distance measurements that accumulate and exhibit correlations over macroscopic distances. This paper models an expected signal due to this phenomenology, and details the design and estimated sensitivity of co-located twin table-top 3D interferometers being built to measure or constrain it. The experiment is estimated to be sensitive to displacements ∼10−19m/Hz in a frequency band between 1 and 250 MHz, surpassing previous experiments and enabling the possible observation of quantum gravity phenomena. The experiment will also be sensitive to MHz gravitational waves and various dark matter candidates.
The morphology of circulus arteriosus cerebri in the red squirrel (Sciurus vulgaris)

In this study, the circulus arteriosus cerebri of the squirrel was investigated. Ten squirrel were used. Coloured latex was given from left ventriculi of the all squirrels. Circulus arteriosus cerebri was examined after the dissection was made. The basilar artery was formed by merge of the right and left vertebral artery. The caudal communicans artery which was caudal part of circulus arteriosus cerebri was formed by the basilar artery on sulcus pontocrurale. From caudal to cranial, the branches originated from the basilar artery and circulus arte - riosus cerebri to cerebrum and cerebellum were as follows: the caudal cerebelli artery,rami ad pontem, the rostral cerebelli artery, the caudal choroidea artery, the caudal cerebral artery, the internal ophtalmic artery, the rostral choroidea artery, the media cerebral artery, rami striati and the rostral cerebral artery. In squirrels a variability was observed in the branches that the rostral cerebral artery gives, and their endings. It was determined that the internal carotid artery didn't exist in 4 animals when the right and left vertebral artery were ligatured. It was found that the internal carotid artery didn't contribute to the arterial blood to circulus arteriosus cerebri and the arterial blood to circulus arteriosus cerebri of squirrels is provided via only the basilar artery.