Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic disturbances and inflammatory dysfunction predict severity of coronavirus disease 2019 (COVID-19): a retrospective study

Background: The coronavirus disease 2019 (COVID-19) is spreading worldwide with 16,558 deaths till date. Serum albumin, high-density lipoprotein (HDL-C), and C-reactive protein have been known to be associated with the severity and mortality of community-acquired pneumonia. However, the characteristics and role of metabolic and inflammatory indicators in COVID-19 is unclear. Methods: We included 97 hospitalized patients with laboratory-confirmed COVID-19. Epidemiological, clinical, and laboratory indices; radiological features; and treatment were analysed. The differences in the clinical and laboratory parameters between mild and severe COVID-19 patients and the role of these indicators in severity prediction of COVID-19 were investigated. Results: All were Wuhan residents with contact with confirmed COVID-19 cases. The median age was 39 years (IQR: 30-59). The most common presenting symptoms were fever (58.8%), cough (55.7%), and fatigue (33%). Other features were lymphopenia, impaired fasting glucose, hypoproteinaemia, hypoalbuminemia, low high-density lipoproteinemia. Decrease in lymphocyte count, serum total protein, serum albumin, high-density lipoprotein cholesterol (HDL-C), ApoA1, CD3+T%, and CD8+T% were found to be valuable in predicting the transition of COVID-19 from mild to severe illness. Chest computed tomography (CT) images showed that the absorption of bilateral lung lesions synchronized with the recovery of metabolic and inflammatory indicators. Conclusions: Hypoproteinaemia, hypoalbuminemia, low high-density lipoproteinemia, and decreased ApoA1, CD3+T%, and CD8+T% could predict severity of COVID-19. Lymphocyte count, total serum protein, and HDL-C may be potentially useful for the evaluation of COVID-19.
The market reaction to green bond issuance: Evidence from China

This paper provides the first evidence of the debt and stock market reaction to corporate green bond issuance in the simultaneously largest developing economy and largest emerging debt market, China. Utilizing a most comprehensive sample of Chinese green bonds, we document a pricing premium of corporate green bonds relative to conventional bonds. The economic magnitude of the Chinese green bond pricing premium is greatly larger than that of an international green bond documented in prior studies. The pricing premium of corporate green bonds is most pronounced for new issues from high corporate social responsibility (CSR) issuers and underwriters. It is also stronger for corporate issuers with less ownership concentration and held by long-term institutional investors. Further analysis reveals positive announcement stock returns for green bond new issues, consistent with the stakeholder value maximization theory that corporate engagement in sustainable financing practice increases firm value in a long run and thus is favored by shareholders.
Flexible multimodal sensor inspired by human skin based on hair-type flow, temperature, and pressure

Flexible electronic circuits when integrated with different sensors to mimic the human skin can be referred to as E-skin. E-skin can be used for the monitoring of human health, human-machine interface and humanoids. To mimic skin, a variety of sensors have been studied, including those sensitive to different pressures, temperatures, flows, and strain and humidity levels. Herein, we demonstrate a multifunctional sensor encompassed in a single pixel which is inspired by human skin. The proposed device contains a pressure sensor, a temperature sensor and a piezoresistive hair-type flow sensor, the latter of which is fabricated using mixture of carbon nanotubes and polydimethylsiloxane piezoresistive materials. Additionally, the temperature sensor is printed by means of inkjet printing with MWCNT and Ag nanoparticle ink. Finally, all three sensors are vertically stacked to mimic the human skin, demonstrating interference-free characteristics. This study provides a new and cost-effective approach for multimodal sensor applications.
Influence of microcork particles on the lap shear strength of an epoxy adhesive subjected to fatigue loading and different environmental conditions

The present study deals with the effects of temperature and cyclic loading on the strength of single lap adhesive joints enhanced with different amounts of microcork particles. To achieve this, different joints with various overlap lengths were manufactured and tested. The joints were tested at two different temperatures (−20 ℃ and 75 ℃) in quasi-static conditions. Results of high temperature (75 ℃) show that the joints tensile strength decreases with the amount of cork particles. For low temperature (−20 ℃), the strength of the joint with 1 vol.% of cork increased; however, higher amounts of cork led to a reduction of the joint strength. To investigate the influence of cork particles on the fatigue endurance, joints were tested at room temperature under sinusoidal cyclic loading. Based on the experimental data it was found that the cork particles can significantly improve the fatigue life of adhesive joints (up to 4.6 times). Microfailure analysis of the tested joints was also performed using the scanning electron microscope technique.
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery

Hyperspectral anomaly detection (HAD) has drawn a significant attention of late due to its importance in many military and civilian applications. In this article, a fast hyperspectral anomaly detector that combines multiple features and isolation forest is proposed. This approach, which is based on the assumption that the anomalous pixels are more susceptible to isolation than the background pixels, consists of two main parts. First, the spectral, Gabor, extended morphological profile (EMP) and extended multiattribute profile (EMAP) features are extracted from the hyperspectral image (HSI). Next, the isolation forest of each feature is constructed using the subsampling strategy. This combination of multiple features can exploit both the spectral and spatial information of the HSI, thereby improving the anomaly detection performance significantly. Compared with eight state-of-the-art HAD methods, the experimental results on four real hyperspectral data sets demonstrate that the performance of our proposed approach is quite competitive in terms of detection accuracy and running time.
Studies on trigonelline from Moringa oleifera and its in vitro regulation by feeding precursor in cell cultures

Trigonelline (N-methylnicotinate) biosynthesized from nicotinate is one of the metabolically active pyridine alkaloid, widely distributed in plant kingdom. In the present study trigonelline has been isolated from various plant parts and callus cultures of Moringa oleifera Lam. , Moringaceae, and was identified using TLC, GLC, GC-MS, which was comparable to that of the standard trigonelline. The trigonelline recovery was found to be maximum in the pods and minimum in flowers. In order to enhance the production of trigonelline in vitro grown cultures, different treatment doses of nicotinic acid (250, 500 and 750 mg L-1) were supplemented in the medium as precursor. Maximum increase (up to 1.10 fold) was observed in the treatment dose of 500 mg L-1 of nicotinic acid.
The measurement model of leisure constraint negotiation in leisure-time physical activity context: Reflective or formative?

Abstract There are two types of measurement models: reflective and formative. Kyle and Jun critiqued that while past leisure constraints studies assumed the reflective model, the formative counterpart may better fit extant measures; this was empirically supported by Kono, Ito, and Loucks-Atkinson. The purpose of this short research note is to extend this key methodological discussion to the realm of constraint negotiation, another important construct in the leisure constraint theory. We present theoretical reasons why existing negotiation measures may be formatively modeled (e.g., non-interchangeable items). Then, we analyzed two data sets (n = 618 and 218, respectively) in the context of leisure-time physical activities using confirmatory tetrad analysis in partial least squares. Our results showed that parts of negotiation measures followed the formative model, while the majority fit the reflective model. We theorize that these mixed results are influenced by factors including negotiation types and population characteristics.
Opportunistic life histories and genetic systems in marine benthic polychaetes

The decline in benthic marine fauna following an oil spill in West Falmouth, Massachu-setts, permitted us to follow the responses of a number of polychaete and other invertebrate species to an environmental disturbance. Species with the most opportunistic life histories increased and declined at the two stations with the greatest reduction in species diversity. The stations with an intermediate reduction in diversity showed increases and declines of somewhat l ess opportunistic species. Electrophoretic studies of the malate dehydrogenase loci of the most opportunistic species, Capitella capitata, indicated short-term selection for a single genotype in the large populations present in Wild Harbor following the oil spill. The life histories of the most opportunistic species are summarized. Initial response to disturbed conditions, ability to increase rapidly, large population size, early maturation, and high mortality are all features of opportunistic species. Using these criteria, the species are ranked in order of decreasing degree of opportunism as: r. Capitella capita/a, 2. Polydora ligni, 3. Syllides 'Ver-rilli, 4. Microphthalmus aherrans, 5. Streblospio benedicti, 6. Mediomastus ambiseta. We pro-pose using mortality as the best single measure of degree of opportunism. A definition based on mortality emphasizes the portion of the life cycle involved in adaptation through short-term selection. Two types of marine benthic opportunists are described: r. a mixed strategy variety with obligate planktonic dispersal where selection within local subpopulations occurs in a single generation, 2. a response-to-selection type with direct development or settlement shor tly after release from brood structures allowing selection within local populations through more than one generation.
Breeding Tropical and Subtropical Fruits

Plant breeding has undergone a period of very rapid and significant development in recent years and the area of fruit breeding is no exception. This book provides a balanced, up-to-date and comprehensive account of the developments in the field of breeding tropical and subtropical fruits. It offers not only the theoretical and applied aspects of breedings fruits but also provides an authoritative manual of the conventional and new techniques used for increasing efficiency of crop improvement programmes. In specific chapters the book deals with crop taxonomy, genetic resources, floral biology, breeding objectives, inheritance patterns and information on new improved cultivars/hybrids.
Forest conservation, afforestation and reforestation in India: Implications for forest carbon stocks

This article presents an assessment of the implications of past and current forest conservation and regeneration policies and programmes for forest carbon sink in India. The area under forests, including part of the area afforested, is increasing and currently 67.83 mha of area is under forest cover. Assuming that the current trend continues, the area under forest cover is projected to reach 72 mha by 2030. Estimates of carbon stock in Indian forests in both soil and vegetation range from 8.58 to 9.57 GtC. The carbon stock in existing forests is projected to be nearly stable over the next 25 year period at 8.79 GtC. However, if the current rate of afforestation and reforestation is assumed to continue, the carbon stock could increase from 8.79 GtC in 2006 to 9.75 GtC by 2030 - an increase of 11%. The estimates made in this study assume that the current trend will continue and do not include forest degradation and loss of carbon stocks due to biomass extraction, fire, grazing and other disturbances.
The Crato Fossil Beds of Brazil: Spores and pollen from the Crato Formation: biostratigraphic and palaeoenvironmental implications

Well over 150 spore and pollen taxa have been recorded in the literature from the Crato Formation and other slightly older and younger formations in the Chapada do Araripe, but detailed information on stratigraphic occurrences and relative abundances is mostly lacking. As a result, it is difficult to draw precise biostratigraphic and palaeoenvironmental conclusions, and impossible to recognize any changes in climate and depositional conditions upwards through the succession on the basis of the published record of these plant microfossils. By a process of elimination it is reasonable to suggest an age range of late Aptian to early Albian for the formation from the data presented. It may also be inferred that during the time it accumulated much of the surrounding vegetation was adapted to semi-arid conditions, although there must also have been some habitats that were able to sustain moisture-loving and aquatic plants. The latter is emphasized by the palynological composition of two samples examined specifically for consideration in this chapter, which are unequivocally from the Crato Formation. The assemblages recovered also suggest that the formation is more likely to be late Aptian than early Albian in age. In addition, evidence of reworking of Devonian deposits is apparent. A few of the spores and pollen grains recovered are illustrated (Figure 20.1 and Plate 32).
Prediction of Multiple Diseases of Soybean in Complex Environment Based on Improved Apriori Algorithm

The existence and persistence of soybean diseases are not conducive to the effective operation of the global soybean market. Many detection and prediction methods have been used to prevent and detect soybean diseases, but the practicability of these methods has always been a big challenge for researchers due to there are too few variables in the prediction model, which show bad prediction effect of soybean disease in complex environment. In this paper, the popular Apriori algorithm in data mining is used to analyze the common disease data of soybean in complex environment, so as to achieve the goal of early prediction and control of soybean disease. The variables used in this paper are the characteristic factors of 35 kinds of Soybean under 18 common diseases. The experimental results show that the improved Apriori algorithm can complete the better prediction of soybean diseases in complex environment, so as to reduce the impact of diseases on soybean yield, which is of great significance for economic development, agricultural production and other fields.
Study on application of artificial neural network to debris bed coolability calculations for sodium-cooled fast reactors

Understanding the effect of uncertainties of Core Disruptive Accident (CDA) scenarios on debris bed coolability on a core catcher is required for decision making on design options to mitigate a CDA consequence. For the understanding, a huge number of calculations are required but are extremely difficult to perform because a huge number of calculations require much calculation time to solve non-steady equations in the coolability calculation model. Thus, we applied Artificial Neural Network (ANN), which is one of models for machine learning, to debris bed coolability calculations. The application of ANN is expected to exponentially improve the calculation speed of debris bed coolability because ANN provides results from experimental rules learned through training without solving non-steady equations. The application is in three steps. Firstly, we created many data for training ANN and validating the trained ANN through coolability calculations parameterizing main dominant inputs (particle diameter of debris bed, porosity of debris bed, etc.) by using Latin hypercube sampling. Secondly, ANN was trained and validated with the created data. The accuracy rate of the results by the ANN to the validation data exceeded 99%. In addition, the calculation time using ANN was micro seconds order. Finally, through demonstration calculations, it was confirmed that we can easily understand the effect of uncertainties of CDA scenarios on debris bed coolability owing to results visualization based on a huge number of parametric calculations using ANN. Thus, the application of ANN to debris bed coolability calculations should contribute to the decision making on design options to mitigate a CDA consequence.
Improvement of High-Temperature Treatment Method using Solar Radiation under Unstable Wind Conditions

Abstract Open-top chambers (OTC) equipped with solar-heated double funnels (SDF) were tested for high-temperature treatments under unstable wind conditions. OTC-SDFs have two types of funnel-shaped tunnels attached on opposite ends; OTC-SDF-A had SDFs of the same width, and the OTC-SDF-B had SDFs that were twice the width of the open end. The temperature rise in these OTC-SDFs were compared with that in OTC with solar-heated air introduction tunnel (OTC-SAT). The temperature increase in the OTC-SAT during the daytime was small and not flat, whereas that in OTC-SDF-A was higher than in OTC-SAT and almost flat. The temperature rise was further enhanced in the OTC-SDF-B. An increase in air exchange ability at the intake may account for this enhancement. The drop in temperature at night observed in OTC-SAT was less prominent in OTC-SDFs. Based on these data, OTC-SDFs are considered useful in areas where the wind speed and direction are unstable.
Low-Profile Wideband Spiral Antenna With a Circular HIS Reflector Composed of Homogenous Fan-Shaped Patch Elements

A low-profile spiral antenna backed by a circular high-impedance surface (HIS) reflector composed of homogeneous (CirHISRhomo) fan-shaped patch elements is investigated. The total antenna height from the bottom of the CirHISRhomo to the spiral antenna is very small: 0.09 wavelength at a lowest design frequency of 3 GHz. It is revealed that the CirHISRhomo contributes to a constant input impedance and a small axial ratio (AR) across the design frequency range of 3–10 GHz (the fractional bandwidth is approximately 108%). For comparison, the AR for the spiral antenna backed by a conventional perfect electric conducting reflector is also presented. The analysis results are verified by the measured results of the fabricated antenna.
Listening and interpersonal communication skills as predictors of resilience in occupational therapy students: A cross-sectional study

Introduction This study investigated whether listening and communication skills are predictive of occupational therapy students’ resilience. Method 135 third- and fourth-year undergraduate occupational therapy students (74% response rate) completed the Active-Empathetic Listening Scale, Listening Styles Profile – Revised, Interpersonal Communication Competence Scale, Resilience at University and Resilience Scale for Adults instruments. Linear regressions were completed with the Resilience at University and Resilience Scale for Adults subscales as the dependent variables and the Active-Empathetic Listening Scale, Listening Styles Profile – Revised and Interpersonal Communication Competence Scale subscales as the independent variables. Results Regression analysis identified significant predictors of students’ resilience. The Active-Empathetic Listening Scale: Sensing Listening accounted for 5% (p = .009) and 4.3% (p = .011) of the unique variance of Resilience at University: Find Your Calling and Living Authentically. Listening Styles Profile – Revised: Analytical Listening accounted for 4.4% (p = .022) and 2.7% (p = .038) of the unique variance of Resilience at University: Managing Stress and Maintaining Perspective. Interpersonal Communication Competence Scale: Self-Disclosure accounted for 6.7% (p = .003), 3.6% (p = .035) and 3.4% (p = .047) of the unique variance of Resilience Scale for Adults: Social Resources, Resilience at University: Maintaining Perspective and Resilience Scale for Adults: Planned Future. Interpersonal Communication Competence Scale: Social Relaxation accounted for 8.5% (p = .001) of the unique variance of Resilience Scale for Adults: Social Competence. Conclusion Components of listening and interpersonal communication were found to be significant predictors of resilience in occupational therapy students. Further investigation in this area of research is recommended.
Pengaruh Pengungkapan Intellectual Capital, Reputasi Underwriter, Financial Leverage, Umur dan Size Perusahaan terhadap Underpricing Saham IPO di Bursa Efek Indonesia Periode 2014-2018

This study aims to examine and analyze the influence of factors that can influence underpricing during an IPO (Initial Public Offering) on the Indonesia Stock Exchange in the 2014-2018 period. This research uses quantitative research methods. The type of data used is secondary data, where the data collected is obtained through the official website of IDX, Yahoo Finance and the company's sample website. The population in this study were all IPO companies on the Stock Exchange in 2014-2018 and for the sample selection in this study using a purposive sampling method, as many as 77 sample companies were obtained. The analytical method used in this study is multiple linear regression. The results showed that intellectual capital disclosure had a negative and significant effect on the level of underpricing. While underwriter reputation, financial leverage, company age, and company size do not affect the level of underpricing.