Miracle-dz/UniFAR-FTUs huggingface dataset:
Concordância entre testes concorrentes para identificação de crianças com Transtorno do Desenvolvimento da Coordenação

Objetivo: Verificar a concordância dos resultados de diferentes instrumentos, Movement Assessment Battery for Children – checklist e teste motor (MABC-2) e Developmental Coordination Disorder Questionnaire (DCDQ-BR), utilizados para indicacao de transtorno do desenvolvimento da coordenacao (TDC). Metodo: Estudo transversal, realizado no ano de 2017, com dados de criancas entre sete e 10 anos de idade, provenientes de escolas municipais de Sao Jose/SC. Elas foram avaliadas quanto ao desempenho motor por meio dos instrumentos MABC-2 (teste motor e checklist) e DCDQ-BR. A analise estatistica incluiu o coeficiente Kappa (K) para verificar a concordância entre os resultados dos instrumentos, considerando um nivel de significância de 5%. Resultados: Participaram do estudo 302 criancas, com media de idade de 8,5±1,09 anos. Ao comparar o MABC-2 teste motor, MABC-2 checklist e o DCDQ-BR, foram observadas concordâncias de regular a fraca (K = 0,303 / 0,116 / 0,039). Conclusao: O presente estudo nao identificou concordância consistente entre os resultados dos instrumentos MABC-2 e DCDQ-BR para indicacao de criancas com TDC, mas a combinacao deles e a forma mais completa de avaliacao.
Design and Analysis of the Staggered Double Grating Slow Wave Circuit for 263 GHz Sheet Beam TWT

The complete design process of a high-frequency circuit for a 263 GHz staggered double grating, sheet beam traveling wave tube is presented in this article. This device, for use in a pulsed electron paramagnetic resonance spectrometer instrument, requires >30 dB gain and a 20 GHz bandwidth centered at 263 GHz. In addition to the standard Pierce gain analysis and point by point particle in cell (PIC) simulation, a novel fast pulse response analysis technique was utilized to determine the accurate synchronization voltage and test the ``hot” feature of the high-frequency circuit. Since this new method can evaluate the entire bandwidth in a single simulation, it can significantly reduce the computational resources normally required for the conventional PIC analysis while also illustrating the potential instabilities near the band edge. Good agreement between the fast pulse response and PIC simulation results validate the accuracy of this novel method. According to the analysis results and given the manufacturing limits of nano/micro-computer numerical control (CNC) machining, an appropriate SWS, coupler, and sever designs were chosen to complement the simulated design. Finally, a prototype circuit was manufactured and cold tested to verify the design and inspect the machining tolerances.
Optimum search speed and activity: a dynamic game in a three‐link trophic system

We analysed how a consumer should simultaneously trade‐off search speed and time active in a game with predators that optimise their search speed. Both the consumers and the predators are continuously reproducing and maximise fitness by maximising the per capita growth rate. The impact of the predator's presence on consumer behaviour, and the effects of type I and II functional responses on the behaviour of both species are considered. In the analyses, consumers were allowed to co‐ordinate activity or behave independently in relation to other consumers. The ESS‐analysis of the game ensures that no mutant can invade the system. The independent activity was found to be optimal in all analyses, while the co‐ordinated activity was only optimal at full activity where the two activity strategies coincided. The model showed that consumers should change activity to account for predation risk. Activity generally decreased with predation risk. Concerning the energetic aspects, both activity and search speed were important to account for the reproductive output. The functional responses influenced the optimum activity and search speed of consumers and predators. In general, the optimum behaviours showed complex non‐linear responses in relation to the resource and the consumer density. A predator type II functional response had profound impacts on the properties of the optima, the stability and presence of alternative strategies. As a result of the optimum behaviours, the realised functional responses of both species became sigmoidal.
Can mean platelet volume (MPV) and platelet/lymphocyte ratio (PLR) be an early predictor for severe acute pancreatitis?

Aim: Investigating serum mean platelet volume (MPV) and platelet/lymphocyte ratio (PLR) levels in acute pancreatitis (AP) patients, and evaluating whether MPV and PLR estimate AP disease severity efficiently at early phase. Material and Methods: One hundred and forty patients diagnosed with AP and 49 healthy controls (HC) have been included in the study. Ranson criteria, revised Atlanta criteria and Balthazar scores of AP patients have been found from hospital registration systems, and mild-severe AP patients have been separated. MPV and PLR levels at admission were checked for the patients. Results: While no difference was determined between AP group and HC group with regard to MPV levels (p:0.998), PLR levels was determined to be higher in AP group than HC group (p<0.001). No difference was determined between mild-severe AP patients with regard to MPV according to Ranson criteria, revised Atlanta criteria and Balthazar scoring (p:0.355; p:0.276; p:0.634, respectively). PLR was determined to be higher in severe AP group according to revised Atlanta criteria (p:0.023). However, no relation was determined between PLR and Ranson and Balthazar scoring (p:0.311, p:0.415, respectively). Upon grouping AP patients as biliary and non-biliary according to their etiology, MPV was determined to be lower in non-biliary AP patients (p:0.034). There was no difference between groups with regard to PLR (p:0.0772). Conclusion: MPV is not suitable for differentiating mild-severe AP patients at early period. PLR may be used as a supporting test in estimating severe AP patients at admission.
Complete mitochondrial genome of the gray reef shark, Carcharhinus amblyrhynchos (Carcharhiniformes: Carcharhinidae)

Abstract We report the first mitochondrial genome sequences for the gray reef shark, Carcharhinus amblyrhynchos. Two specimens from the British Indian Ocean Territory were sequenced independently using two different next generation sequencing methods, namely short read sequencing on the Illumina HiSeq and long read sequencing on the Oxford Nanopore Technologies’ MinION sequencer. The two sequences are 99.9% identical and are 16,705 base pairs (bp) and 16,706 bp in length. The mitogenome contains 22 tRNA genes, two rRNA genes, 13 protein-coding genes and two non-coding regions; the control region and the origin of light-strand replication (OL).
Design of planar inverted‐F antenna pair with reflectors for near‐field power transfer

In this article, a planar inverted‐F antenna (PIFA) pair with reflectors for near‐field power transfer at a frequency of 2.45 GHz is proposed. In order to enhance efficiency of power transmission and reduce electromagnetic wave leaked to free space due to the power transmission, the reflectors are installed around the transmitting and receiving antenna pair except on the open side. The transmitting antenna is designed with high impedance characteristics to prevent the radiated electromagnetic wave to free space when the antenna is waiting for the power transmission. The receiving antenna is designed for Wi‐Fi and also functions as an antenna for energy harvesting at a frequency of 2.4 GHz when the antenna operates solely. Furthermore, the L‐shaped slot is added on the FR‐4 substrate of the receiving antenna as a harmonic rejection filter (HRF) used to suppress reradiation of the higher order harmonics and improve the conversion efficiency. The conversion efficiency of the proposed transmitting and receiving antenna pair is 79.4% when the input RF power is 23 dBm.
Validation and Comparison of a Modified Elixhauser Index for Predicting ﻿In-Hospital Mortality in Italian Internal Medicine Wards

Purpose Burden of comorbidities appears to be related to clinical outcomes in hospitalized patients. Clinical stratification of admitted patients could be obtained calculating a comorbidity score, which represents the simplest way to identify the severity of patients’ clinical conditions and a practical approach to assess prevalent comorbidities. Our aim was to validate a modified Elixhauser score for predicting in-hospital mortality (IHM) in internal medicine admissions and to compare it with a different one derived from clinical data previously used in a similar setting, having a good prognostic accuracy. Patients and Methods A single-center retrospective study enrolled all patients admitted to internal medicine department between January and June 2016. A modified Elixhauser score was calculated from chart review and administrative data﻿; moreover, a second prognostic index was calculated from chart review only. Comorbidity scores were compared using c-statistic. Results We analyzed 1614 individuals without selecting the reason for admission, 224 (13.9%) died during hospital stay. Deceased subjects were older (83.3±9.1 vs 78.4±13.5 years; p<0.001) and had higher burden of comorbidities. The modified Elixhauser score calculated by administrative data and by chart review and the comparator one ﻿was 18.13±9.36 vs 24.43±11.27 vs 7.63±3.3, respectively, and the c-statistic was 0.758 (95% CI 0.727–0.790), 0.811 (95% CI 0.782–0.840) and 0.740 (95% CI 0.709–0.771), respectively. Conclusion The new modified Elixhauser score showed a similar performance to a previous clinical prognostic index when it was calculated using administrative data; however, its performance improved if calculation was based on chart review.
Generalization of Audio Deepfake Detection

Audio Deepfakes, technically known as logical-access voice spooﬁng techniques, have become an increased threat on voice interfaces due to the recent breakthroughs in speech synthesis and voice conversion technologies. Effectively detecting these attacks is critical to many speech applications including automatic speaker veriﬁcation systems. As new types of speech synthesis and voice conversion techniques are emerging rapidly, the generalization ability of spoofing countermeasures is becoming an increasingly critical challenge. This paper focuses on overcoming this issue by using large margin cosine loss function (LMCL) and online frequency masking augmentation to force the neural network to learn more robust feature embeddings. We evaluate the performance of the proposed system on the ASVspoof 2019 logical access (LA) dataset. Additionally, we evaluate it on a noisy version of the ASVspoof 2019 dataset using publicly available noises to simulate more realistic scenarios. Finally, we evaluate the proposed system on a copy of the dataset that is logically replayed through the telephony channel to simulate spooﬁng attacks in the call center scenario. Our baseline system is based on residual neural network, and has achieved the lowest equal error rate (EER) of 4.04% among all single-system submissions during the ASVspoof 2019 challenge. Furthermore, the additional improvements proposed in this paper reduce the EER to 1.26%.
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications

Although convolutional neural networks (CNNs) have been widely applied in various cognitive applications, they are still very computationally intensive for resource-constrained mobile systems. To reduce the resource consumption of CNN computation, many optimization works have been proposed for mobile CNN deployment. However, most works are merely targeting CNN model compression from the perspective of parameter size or model structure, ignoring different resource constraints in mobile systems with respect to memory, energy, and real-time requirement. Moreover, previous works take accuracy as their primary consideration, requiring a time-costing retraining process to compensate the inference accuracy loss after compression. To address these issues, we propose DiReCtX—a dynamic resource-aware CNN model reconfiguration framework. DiReCtX is based on a set of accurate CNN profiling models for different resource consumption and inference accuracy estimation. With manageable consumption/accuracy tradeoffs, DiReCtX can reconfigure a CNN model to meet distinct resource constraint types and levels with expected inference performance maintained. To further achieve fast model reconfiguration in real-time, improved CNN model pruning and its corresponding accuracy tuning strategies are also proposed in DiReCtX. The experiments show that the proposed CNN profiling models can achieve 94.6% and 97.1% accuracy for CNN model resource consumption and inference accuracy estimation. Meanwhile, the proposed reconfiguration scheme of DiReCtX can achieve at most 44.44% computation acceleration, 31.69% memory reduction, and 32.39% energy saving, respectively. On field-tests with state-of-the-art smartphones, DiReCtX can adapt CNN models to various resource constraints in mobile application scenarios with optimal real-time performance.
Virtual laboratory for enhancing students’ understanding on abstract biology concepts and laboratory skills: a systematic review

The virtual laboratory has been widely used in biology learning at all levels of education, but it remains a challenge for countries with technological shortages. Many biological concepts were abstract and difficult to be understood through simple explanation or even difficult to do in a laboratory. Utilization of virtual labs in biology learning, especially in higher education needs to be reviewed about the characteristics of contents, and function and its efficiency to assess the specific variables. Thus, this systematic review was carried out to analyze research articles published from 2010 to 2018. The articles were selected using the PRISMA. The articles were obtained from Google Scholar, the Science Direct, and the Journal of Science Education, ERIC, and Journal of Biological Education. In total, 199 articles were found. The general analysis was conducted. The results yielded 47 articles to be further analyzed by looking at the content and results of the study. Twenty-three articles were obtained and analyzed. Journal content analysis was focused on the selected topic, the dependent variables, sample size, effect size, research design, data collection techniques, research objectives, and the results. Cell or molecular biology was the most widely used topics in the virtual laboratory. Students’ conceptual understanding was the most studied variable, some studies examine students’ affective and psychomotor skills, but only a few studies examine the learning process. Most biology virtual labs were developed using the Adobe Flash Player application with 3D animation. The results suggested for further research to develop a virtual biology lab that is more inquiry-based, and capable of assessing students’ conceptual change and science process skills which not have been widely studied.
PHYLOGENY OF EUGLENOPHYCEAE BASED ON SMALL SUBUNIT rDNA SEQUENCES: TAXONOMIC IMPLICATIONS 1

Small subunit rDNA sequences of 42 taxa belonging to 10 genera were used to infer phylogenetic relationships among euglenoids. Members of the phototrophic genera Euglena, Phacus, Lepocinclis, Colacium, Trachelomonas, and Strombomonas plus the osmotrophs Astasia longa, Khawkinea quartana, and Hyalophacus ocellatus were included. Six major clades were found in most trees using multiple methods. The utility of Bayesian analyses in resolving these clades is demonstrated. The genus Phacus was polyphyletic with taxa sorting into two main clades. The two clades correlated with overall morphology and corresponded in large part to the previously defined sections, Pleur‐ aspis Pochmann and Proterophacus Pochmann. Euglena was also polyphyletic and split into two clades. In Bayesian analyses species with less plastic pellicles and small disk‐like chloroplasts diverged at the base of the tree. They grouped into a single clade which included the two Lepocinclis spp. , which also are rigid and bear similar chloroplasts. The metabolic Euglena species with larger plastids bearing pyrenoids and paramylon caps arose near the top of the tree. The loricates Strombomonas and Trachelomonas formed two well‐ supported, but paraphyletic, clades. The strong support for the individual clades confirmed the value of using lorica features as taxonomic criteria. The separation of the osmotrophic species A. longa, K. quartana, and H. ocellatus into different clades suggested that the loss of the photosynthetic ability has occurred multiple times.
Rumor Diffusion Model Based on Representation Learning and Anti-Rumor

The traditional rumor diffusion model primarily studies the rumor itself and user behavior as the entry points. The complexity of user behavior, multidimensionality of the communication space, imbalance of the data samples, and symbiosis and competition between rumor and anti-rumor are challenges associated with the in-depth study on rumor communication. Given these challenges, this study proposes a group behavior model for rumor and anti-rumor. First, this study considers the diversity and complexity of the rumor propagation feature space and the advantages of representation learning in the feature extraction of data. Further, we adopt the corresponding representation learning methods for their content and structure of the rumor and anti-rumor to reduce the spatial feature dimension of the rumor-spreading data and to uniformly and densely express the full-featured information feature representation. Second, this paper introduces an evolutionary game theory, which is combined with the user-influenced rumor and anti-rumor, to reflect the conflict and symbiotic relationship between rumor and anti-rumor. we obtain a network structural feature expression of the influence degree of users on rumor and anti-rumor when expressing the structural characteristics of group communication relationships. Finally, aiming at the timeliness of rumor topic evolution, the whole model is proposed. Time slice and discretize the life cycle of rumor is used to synthesize the full-featured information feature representation of rumor and anti-rumor. The experiments denote that the model can not only effectively analyze user group behavior regarding rumor but also accurately reflect the competition and symbiotic relation between rumor and anti-rumor diffusion.
Thermal Simulation of Close-Fitting Sportswear

A novel and intelligent product development approach is required in this fast-growing and advanced technological era. Therefore, textile researchers have worked intensively to create efficient and transparent solutions for complex developments by using advanced modeling and simulation tools and techniques. This paper addresses a process for the thermal simulation of sportswear by considering the human thermophysiological model and important thermal properties of fabrics, i.e., thermal resistance, evaporative resistance, and permeability index. The results of the simulation are illustrated in terms of core body and mean skin temperatures. Moreover, results are validated by wear trials showing good consistency. This study is beneficial to the development of clothing for specific sports and the evaluation of comfort and heat stress during different sports activities.
661. The genetic connexion between body size, milk production and efficiency in dairy cattle

1. An analysis has been made of production records and body measurements of dairy cattle from farms and special progeny testing stations in Denmark. 2. Heritability estimates of various measurements of body size and also of gross efficiency of food conversion were all in the neighbourhood of 0·50. Body weight was more closely correlated with girth than with height. 3. Milk yield had a very high correlation, both phenotypic and genetic, with gross efficiency. This was shown on theoretical grounds to be a necessary result of any standard system of feeding. 4. Correlations between production characteristics and body measurements were slight. There was some suggestion that selection for yield would increase skeletal size but decrease fleshing. 5. The best index on which to select for efficiency of food conversion under these conditions would be the yield divided by the height.
Ecology of northeastern roadside mosses1

Abstract Edaphic factors play an important role in determining moss species distribution and establishment, yet relatively few studies of the soil environment of mosses have focused on disturbed soil habitats such as those found next to road edges. Plot ground cover, soil physical, and soil chemical measurements were analyzed for 288 0.5 m2 plots at two distance groupings (near: 0.5 and 2 m and far: 5 and 8 m) from 24 roadside locations across northern New York, central New Hampshire, and central Vermont. Forty-eight species of moss were encountered on 164 of the 288 sample plots with a mean species richness of 2.5 species per plot. Four groups of mosses that act in coordinated ways were established, defined primarily by soil pH, calcium, magnesium, manganese, and aluminum. Within these four groups, species also exhibited a clear distribution preference towards either near or far roadside plots that is loosely based on growth form. Our finding of a group of moss species that are frequently present in the difficult growing environment found in close proximity to roadsides suggests that future studies in moss ecology and physiology could lead to useful insights in plant adaptations to extreme environments, including tolerance of heavy metals, reduced mineral nutrients, and desiccation.
Seeing the forest for the trees: partitioning ecological and phylogenetic components of Bergmann's rule in European Carnivora

Comparative methods have commonly been applied in macroecological research. However, few methods exist to map and analyze phylogenetic variation in geographical space. Here we develop a general analytical framework to partition the phylogenetic and ecological structures of macroecological patterns in geographic space. As an example, we apply the framework to evaluate interspecific patterns of body size geographic variation (Bergmann's rule) in European Carnivora. We model the components of variance attributable to ecological and phylogenetic effects, and to the shared influence of both factors. Spatial patterns in the ecological component are stronger than those in the original body size data. More importantly, the magnitude of intraspecific body size patterns (as measured by the correlation coefficient between body size and latitude) is significantly correlated with the ecological component across species, providing a unified interpretation for Bergmann's rule at multiple levels of biological hierarchy. This approach provides a better understanding of patterns in macroecological traits and allows improved understanding of their underlying ecological and evolutionary mechanisms.