Miracle-dz/UniFAR-FTUs huggingface dataset:
Community-Acquired Pneumonia due to Endemic Human Coronaviruses compared to 2019 Novel Coronavirus: A Review

ULJRI | https://doi.org/10.18297/jri/vol4/iss1/2 1 Abstract The human coronaviruses (HCoVs) are an important etiology of community-acquired respiratory tract infections. Community-acquired pneumonia (CAP) may be caused by serotypes of endemic HCoVs or highly pathogenic HCoVs. In this review we compared the clinical characteristic, management, outcomes, and infection control practices for patients with CAP due to endemic HCoVs versus patients with CAP due to 2019 novel coronavirus (SARS-CoV-2).
Emotional intelligence and self-efficacy career decision making among high school students

Lack of self-confidence in decision making is one of the dominant problems that often engage students in making career choices. This study aimed to answer three research questions, namely, 1) is there a difference in emotional intelligence based on gender, 2) is there a difference in self-efficacy in career decision making among form four based on gender factors, 3) is there a relationship between emotional intelligence and self-efficacy making career decisions among form four students. The study sample was 80 respondents in a secondary school. This study is a survey study and uses the Emotional Intelligence test as well as the Career Decision Self-Efficacy test (CDSE-SF). The data were analyzed using SPSS version 24. The results showed that there was no difference between emotional intelligence and self-efficacy based on gender. Besides, the study also found no relationship between emotional intelligence and self-efficacy in career decision making. This study supports counselors and various working groups with adolescents to assist students in their career path from school to school.
Improving Efficiency and Accuracy for Training and Inference of Hardware-aware Machine Learning Systems

Deep Neural Networks (DNNs) have been adopted in many systems because of their higher classification accuracy. While progress in achieving large scale, highly accurate DNNs has been made, however, the huge time and energy requirement for both inference and training pose achallenge to any DNN implementation. The large DNN size causes significant energy and area due to massive memory accesses and computations. In this thesis, we propose a new DNN architecture, LightNN, which replaces the multiplications to one shift or a constrained number of shifts and adds. Thus, LightNN inference uses hardware-efficient shift-based operations, and needs fewer memoryaccesses due to the fewer bits to represent each weight. Our experiment using image datasets show that LightNNs can achieve much higher hardware efficiency with a slight accuracy loss. LightNNs constrain all the weights of DNNs to be a limited combination (denoted as k 2 f1;2g)of powers of 2, and by varying the k one can obtain a group of LightNNs with different levels of accuracy and energy cost. To provide even more design flexibility, the k for each convolutional filter can be optimally chosen instead of being fixed for every filter. In this thesis, we formulate theselection of k to be differentiable, and describe model training for determining k-based weights on a per-filter basis. Over 46 FPGA-design experiments involving eight configurations and four data sets reveal that lightweight neural networks with a flexible k value (dubbed FLightNNs) fully utilize the hardware resources on Field Programmable Gate Arrays (FPGAs), our experimental results show that FLightNNs can achieve 2 speedup when compared to lightweight NNs with k = 2, with only 0:1% accuracy degradation. Compared to a 4-bit fixed-point quantization, FLightNNs achieve higher accuracy and up to 2 inference speedup, due to their lightweight shift operations. In addition, our experiments also demonstrate that FLightNNs can achieve higher computational energy efficiency for ASIC implementation. Binarized Neural Networks (BNNs) quantize the weights and activations to 1 bit, which has lowerprecision than LightNNs and FLightNNs, and therefore can significantly reduce the inference latency and energy consumption in resource-constrained devices due to their pure-logical computation and fewer memory accesses. However, training BNNs is difficult since the activation flow encounters degeneration, saturation, and gradient mismatch problems. Prior work alleviates these issues by increasing activation bits and adding floating-point scaling factors, thereby sacrificing BNN’s energy efficiency. In this thesis, we propose to use distribution loss to explicitly regularize the activation flow, and develop a framework to systematically formulate the loss. Our experiments show that the distribution loss can consistently improve the accuracy of BNNs without losing their energy benefits. Moreover, equipped with the proposed regularization, BNN training is shown to be robust to the selection of hyper-parameters including optimizer and learning rate.
Testing the efficacy of rotenone as a piscicide for New Zealand pest fish species.

The first South Island populations of Gambusia affinis and Koi carp were discovered in the Nelson region in May and July (2000), respectively. A delimitation survey using a standardised rapid sampling protocol was undertaken to determine how widespread these species were within the Nelson/Marlborough region. A total of 219 ponds and 54 waterways were surveyed over the warmer summer months and Gambusia were located in a further 19 farm ponds, and koi in one. In addition, illegally liberated populations of rudd, tench and red finned perch were also detected. These latter species were previously absent from the region. Survey data suggested that Gambusia and koi were restricted to farm ponds, although there was potential that they could spread from these into natural waterways. Under a pesticides board experimental licence, rotenone was applied to 17 ponds in an effort to eradicate these founding populations. Initial observations suggest that this was successful in killing all koi and Gambusia within these ponds. We discuss the results of these trials, efficacy of the application techniques used, rate of breakdown and variable responses of the different fish poisoned. Results of preliminary trials to resuscitate non-target fish species are also reported. 1 . I N T R O D U C T I O N Rotenone has been used extensively by fisheries managers in North America since the 1930s (Finlayson et al. 2000) and is recognised as the most environmentally benign of the commonly used fish poisons (Ling 2003). Its use in New Zealand has been limited to a few small water bodies with the only significant reported application being the 1981 removal of fish from Lake Parkinson, a small 1.9-ha dune lake south of Auckland (Rowe & Champion 1994). Rotenone has also been used extensively as a marine fish sampling tool, principally applied by taxonomist from the Museum of New Zealand (Paulin & Roberts 1993).
Absorção de fósforo e crescimento do Sorgo em função da aplicação de silício e fósforo em Latossolo Vermelho distroférrico

Este estudo foi realizado em casa de vegetacao com o objetivo de avaliar o crescimento e absorcao de fosforo (P) pelo sorgo, em funcao da aplicacao de doses de silicio (Si) e fosforo (P), aplicadas em um Latossolo Vermelho Distroferrico argiloso. A fonte de Si foi incubada a amostras do solo com antecedencia de 30 dias da aplicacao do P. O delineamento experimental foi o de blocos casualizados, contendo quatro repeticoes, em esquema fatorial 5x5, cujos tratamentos foram compostos por cinco doses de Si (0, 100, 200, 300 e 400 mg dm-3) e cinco de P (0, 160, 280, 420 e 560 mg dm-3). O aproveitamento de P em solucao para o sorgo, em funcao da pre-aplicacao de Si objetivando-se bloquear os sitios de cargas adsortivos foi pouco expressivo. As caracteristicas da planta de sorgo como massa seca da parte aerea, diâmetro de colmo e estatura foram significativamente influenciadas somente pelo P aplicado ao solo. Contudo, a pre-aplicacao de Si aumentou a absorcao do P pelo sorgo e influenciou positivamente a taxa de recuperacao de P aplicado, a qual foi mais bem detectada pelo extrator Olsen.
Assessment of dietary lipid sources in tropical gar,
 Atractosteus tropicus
 larvae: Growth parameters and intermediary lipogenic gene expression

Five experimental diets containing different lipid sources, fish oil (D1), soybean lecithin (D2), corn oil (D3), canola oil (D4) and olive oil (D5), were evaluated in Atractosteus tropicus larvae for the relative gene expression of the enzymes fatty acid synthase (fas), acetyl‐CoA carboxylase 1 (acc1) and carnitine palmitoyltransferase 1C (cpt1c), in addition to their effects on larval growth, survival and cannibalism during a 30‐day feeding trial. Higher growth and survival were obtained in treatments D1 and D2, and lower performance in diets D3, D4 and D5. The highest levels of expression of fas and acc1 occurred in larvae fed with D1, which contained high amounts of n‐3 long‐chain polyunsaturated fatty acids (LC‐PUFA), mainly DHA and EPA FA are regulators of lipogenesis. The higher cpt1c expression in plant‐based diets is attributed to the fact that these diets are rich in α‐linolenic acid (ALA) and low DHA, EPA and ARA levels that favour s‐oxidation. In conclusion, the diets with fish oil (D1) and soybean lecithin (D2) were the best treatments for larval growth, survival and cannibalism and thus appear to meet both lipid and energy requirements of A. tropicus larvae, meanwhile the use of vegetable oils influences the expression of intermediary lipogenic genes.
A noninvasive system‐level model order reduction scheme for flexible multibody simulation

This paper presents a novel system‐level model order reduction scheme for flexible multibody simulation, namely the system‐level affine projection (SLAP). Contrary to existing system‐level model order reduction approaches for multibody systems simulation, this methodology allows to obtain a constant reduced order basis which can be obtained in a noninvasive fashion with respect to the original flexible multibody model. It is shown that this scheme enables an automatic joint constraint elimination which can be obtained at low computational cost through exploitation of the component level modes typically employed in flexible multibody simulation. The equations of motion are derived such that the computational cost of the resulting SLAP model is independent of the original model size. This approach results in a set of ordinary differential equations with a constant mass matrix and nonlinear internal forces. This structure makes the resulting model suitable for a range of estimation, control, and design applications. The proposed approach is validated numerically on a flexible four‐bar mechanism and shows good accuracy for a very low‐order SLAP model.
Phytotoxicity of coal fly ash on plant growth and heavy metal uptake by plant in an acid soil

Considering the content of various elements in coal fly ash (CFA), it has the potential to be used as an additional source of nutrients in the soil. However, the use of CFA for agriculture is still debated because CFA contains several metal elements. The purpose of this study was to study the CFA phytotoxicity to seed germination and metal uptake by plants on acid soil. The first experiment was the study of the effect of extracts of various CFA and soil mixtures (5% - 45% CFA) on the germination of mustard seeds. The second study was a CFA phytotoxicity test for plant growth and metal uptake by the mustard plant. Results of the first experiment showed that the application of CFA had no significant effect on mustard seed germination, but had a significant effect on radicle length. CFA application increased the uptake of Pb and Cu by plant along with the increase in the proportion of CFA in the CFA + soil mixture. The contents of Cu and Pb in the mustard plant due to CFA application up to 30% were still below the threshold levels of Cu (36 ppm) and Pb (2 ppm).
Microphysical Sensitivity of Superparameterized Precipitation Extremes in the Contiguous United States Due to Feedbacks on Large‐Scale Circulation

Superparameterized (SP) global climate models have been shown to better simulate various features of precipitation relative to conventional models, including its diurnal cycle as well as its extremes. While various studies have focused on the effect of differing microphysics parameterizations on precipitation within limited‐area cloud‐resolving models, we examine here the effect on contiguous U.S. (CONUS) extremes in a global SP model. We vary the number of predicted moments for hydrometeor distributions, the character of the rimed ice species, and the representation of raindrop self‐collection and breakup. Using a likelihood ratio test and accounting for the effects of multiple hypothesis testing, we find that there are some regional differences, particularly during spring and summer in the Southwest and the Midwest, in both the current climate and a warmer climate with uniformly increased sea surface temperatures. These differences are most statistically significant and widespread when the number of moments is changed. To determine whether these results are due to (fast) local effects of the different microphysics or the (slower) ensuing feedback on the large‐scale atmospheric circulation, we run a series of short, 5‐day simulations initialized from reanalysis data. We find that the differences largely disappear in these runs and therefore infer that the different parameterizations impact precipitation extremes indirectly via the large‐scale circulation. Finally, we compare the present‐day results with hourly rain gauge data and find that SP underestimates extremes relative to observations regardless of which microphysics scheme is used given a fixed model configuration and resolution.
Feeling at home in nature: a mixed method study of the impact of visitor activities and preferences in a prison visiting room garden

Abstract More than 5 million children will experience parental incarceration at some point in their lives, an adverse childhood event that will impact their relationship with their parents and the trajectory of their lives. Parent-child visits in supportive child-friendly visiting environments can benefit both the child and parent and mitigate negative future effects. Outdoor gardens and play spaces may provide such a visiting environment. This mixed method study explored the activities and uses of a visitor’s garden in a women’s state prison and the perceived impact on the visit. Results find that child and family activities included physical and creative play and nature engagement. Ninety percent of garden visitors indicated the garden improved their visits and identified the following as related to that impact: more child-friendly environment, improved affective experience, home-like visiting environment, and more and better parent-child interactions. Implications for incarcerated parents and children as well as future research are discussed.
General trends and competitiveness of Australian life insurance industry

This paper considers financial and economic indicators of Australian life insurance industry. The analysis shows the main characteristics of the current life insurance market in Australia and its factors (determinants) that will guide the life insurance market in the future. The authors have defined and calculated the main indicators of competitiveness for Australian life insurance industry (growth rates of the life insurers number’; density of insurance; penetration rates; concentration ratios; Herfindahl-Hirschman index; integrated assessment of competitiveness). In this paper, we analyzed the general trends and competitiveness of Australian life insurance market for the 1997-2017 period. The results of the Herfindahl-Hirschman index calculations, based on the net policy revenue, demonstrate that Australian life insurance industry competition is high and there is a slight concentration at this market. Herfindahl-Hirschman index for other indicators shows that competition within life insurance industry is defined as weak and underdeveloped. In addition, the analysis shows that for Australian life insurance market there are statistically significant and directly proportional impacts of, firstly, population on life insurance premiums; secondly, the number of life insurers on life insurance penetration rate via gross written premium; thirdly, the number of life insurance companies on life insurance penetration rate via assets of life insurers; and, lastly, life insurance companies’ assets on gross written life insurance premiums.
THE EFFECTS OF INTELLECTUAL CAPITAL ON FIRM PERFORMANCE OF INDUSTRIAL SECTOR IN JORDAN

Purpose of the study: This paper aims to examine whether intellectual capital (IC), measured through the value-added intellectual coefficient (VAICTM) affects the firm performance of the industrial sector in the Amman Stock Exchange (ASE). Methodology: The sample comprised 50 industrial companies listed in ASE over the period 2008-2017. The methodology included estimating the impact of IC, measured through VAICTM and its components on the market to book ratio (M/B) and earning per share (EPS). Research hypotheses were tested through the display of descriptive statistics, multicollinearity, normality tests, correlation matrix, and multiple regression models. Main Findings: The results indicate a positive relationship between VAICTM with the M/B ratio and EPS. As for the M/B ratio, the result is a positive significant relationship for the CEE but not for the SCE, and HCE. However, the results are counterproductive for EPS and found HCE, and SCE has a significant impact on the EPS but CEE not significant. Applications: The results suggest that industrial companies in Jordan must hold practical and knowledge experiences because it is vital for their competitive advantage, and must reduce unemployment rates by employing new employees with expertise and skills. The present study integrates previous methodologies in order to investigate the relationships between IC and firm performance of industrial companies listed on the ASE. Novelty/Originality of this study: This study extends previous studies on intellectual capital and firm performance in Jordan by incorporating more samples and the latest period of study. In addition, it also shed some new findings on the effect of intellectual capital on the M/B ratio and EPS.
Numerical Simulation of Stepping and Branching Processes in Negative Lightning Leaders

A numerical model with physical timing and grid spacing of 3 m is applied to studying the progression (including stepping and branching) of negative lightning stepped leader. The asymmetry between positive and negative streamers is taken into account via using polarity‐dependent initiation and propagation field thresholds. The stepped nature of negative leader is confirmed to be caused by this asymmetry. The step formation process of the negative leader is modeled to begin with the appearance of space stems inside and in the immediate vicinity of its streamer zone (corona streamer burst completing the preceding step). Some of those space stems evolve into space leaders, which can connect to the primary leader channel, thereby facilitating its extension. Model‐predicted morphology and dynamics of negative leaders are in good agreement with the recent recordings of lightning stepped and dart‐stepped leaders obtained using high‐speed video cameras, and their electrical parameters are in line with the current knowledge on negative lightning leaders.
"Comparison of Fluocortolone and Fluocortolone + Acyclovir Treatment in Patients with Bell Palsy"

Objective: This study compares the effectiveness of fluocortolone and fluocortolone+acyclovir treatments in patients with Bell palsy. Materials and Methods: Thirty-eight patients with Bell palsy who received fluocortolone treatment and twenty one patients with Bell palsy who received fluocortolone+acyclovir treatment were evaluated according to the full recovery times, stapes reflexes and electromyography measurements. Results: There was no significant difference between the treatment groups in terms of facial function, recovery time, stapes reflex and electromyography measurements. Conclusion: Both fluocortolone and fluocortolone+acyclovir treatments are effective in the treatment of Bell palsy.
Assessment of knowledge and cord care practices among pregnant women in selected PHCs in Jos metropolis, Plateau state

Optimal care for the newborn is essential for their survival. This can be achieved by integrating maternal and newborn care services in order to ensure the provision of quality health care for both the mother and neonate. A neonate is referred to as an infant who is below twenty-eight days of life. This is the most vulnerable period in infancy which contributes significantly to under five mortality rate. Neonatal mortality is a global problem but has more devastating effects in developing countries. In 2016, 46% of deaths among under-fives were neonatal deaths. Majority of these deaths occurred in Africa and Asia and within the first week of life. According to the 2018 Nigerian Demographic and Health Survey, Nigeria had a neonatal mortality rate of 38 per 1000 live births. This figure is a far cry from the Every Newborn Action Plan’s (ENAP) target of reducing neonatal deaths to less than 12/1000 livebirths. ABSTRACT
Vascular epiphytes in a remnant of seasonal semideciduous forest in zona da mata of Minas Gerais, Brazil = Epífitas vasculares em um remanescente de floresta estacional semidecidual na zona da mata de Minas Gerais, Brasil

This study was performed in a remnant of Seasonal Semideciduous Forest at Fazenda Fortaleza de Sant’Anna, in the municipality of Chacara, Minas Gerais, Brazil (22.0129S, 43.8628W), in an area of ca. 1 ha, via monthly expeditions throughout the year 2012. We found 91 species of vascular epiphytes, distributed in 44 genera and 12 families. The richest families were Orchidaceae (35 spp.), Bromeliaceae (18 spp.), Polypodiaceae (10 spp.), Piperaceae (nine spp.) and Araceae (seven spp.). Two species were recorded for the first time in Minas Gerais: Rodriguezia sticta and Stelis oligantha (Orchidaceae). Rhipsalis oblonga (Cactaceae) was recollected in the state after about 100 years without records. Four species are cited in the list of endangered plants in Minas Gerais: Nematanthus crassifolius (Gesneriaceae) and Cattleya bicolor (Orchidaceae) are in the category “Vulnerable” (VU), Nidularium azureum (Bromeliaceae) and Pleurothallis pectinata (Orchidaceae) are “Critically Endangered” (CR). Nidularium azureum is also cited as CR in the Red Book of Brazilian Flora. Most species were classified as characteristic holoepiphytes and anemochory was the most frequent dispersion syndrome.
Health and Employment Amongst Older Workers

Health and employment are strongly correlated. This paper reviews the existing evidence and brings in new evidence on the following issues: (a) the measurement of health; (b) the impact of health on employment rather than just the association between health and employment; (c) the mechanisms by which health impacts employment; and (d) the likely effect of recent retirement and disability policy changes in the UK. Although the magnitude of the estimated effect of health on employment varies greatly from study to study, some of this variation is driven by the health measure used. Given our preferred measure, the evidence suggests that 5–10 per cent of the employment decline between ages 50 and 70 is due to declining health in England, with the largest effects among low‐educated men. Most of the effect comes through declining preferences for work and lower productivity when in bad health, although some of the effect is from government‐provided incentives to not work when in bad health, such as from disability benefits.