Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing the effects of
 COVID
 ‐19 pandemic on the financial performance of Chinese listed companies

This study is aimed at analyzing the effects of COVID-19 pandemic on the financial performance of Chinese listed companies. We applied pooled ordinary least square (OLS) regression as a baseline methodology to determine the effects of COVID pandemic on the financial performance of Chinese listed companies. We found that the small- and medium-sized companies are most affected by this pandemic, in addition to that our analysis has revealed that serious-impact areas and industries which were worst hit by the COVID-19 experienced a sharper decline in financial performance as compared to other industries. The findings of this study have broad implications for policymakers, as it is evident that governments, banks, regulatory bodies, and central banks must combine forces to tackle the financial and economic impacts of COVID-19 crises. They should come up with comprehensive policies to tackle the adverse impact of such crises in the future as well. Actions such as proving loans and rescheduling existing loans to worst-hit sectors such as tourism, airline industry, etc. are starting point. The disclosure of facts and figure by officials regarding the status of health care number of infections can reduce the chances of panic situations in the future.
No Substitute for Survival: Perturbation Analyses Using a Golden Eagle Population Model Reveal Limits to Managing for Take

Abstract Conserving populations of long-lived birds of prey, characterized by a slow life-history (e.g., high survival and low reproductive output), requires a thorough understanding of how variation in their vital rates differentially affects population growth. Stochastic population modeling provides a framework for exploring variation in complex life histories to better understand how environmental and demographic variation within individual vital rates affects population dynamics. Specifically, we used life-stage simulation analysis (LSA) to identify those life-history characteristics that most affect population growth and are amenable to management actions. The Golden Eagle (Aquila chrysaetos) is a wide-ranging raptor of conservation concern, which has been adopted as a focal species for conservation planning. Golden Eagle population trends in western North America currently appear stable. Yet an expanding human footprint that may increase mortality stimulated our investigation into the ability of populations to sustain reduced survival. We fit mixed-effects models to published estimates of vital rates to estimate the mean and process variation of productivity (young fledged per pair) and survival for use in a LSA framework. As expected, breeding adult survival had the greatest relative effect on population growth, though productivity explained the most variation in growth. Based on perturbation analyses, we demonstrate that even minor reductions in breeding adult survival (<4.5%) caused otherwise stable populations to decline. Despite its importance, precise estimates of spatial and temporal variation in breeding adult survival are poorly documented. Importantly, we found that the ability for increases in reproductive output to compensate for decreased survival was very limited. To maintain stable populations, declines in survival >4% required increases in productivity that generally exceed the evolutionary potential for Golden Eagles. Our findings support the current U.S. Fish and Wildlife conservation strategy which mitigates eagle “take” via efforts to reduce mortality elsewhere.
Pengaruh Digital Marketing Mobile Application Terhadap Loyalitas Pelanggan Gojek

Dari perkembangan teknologi serta di dukung oleh gaya hidup masyarakat sehingga dapat mempengaruhi kecepatan dalam penyebaran suatu informasi melalui media sosial dan dimanfaatkan sebagai media baru dalam memasarkan suatu produk atau disebut pemasaran digital (digital marketing). Digital marketing dapat digunakan sebagai sarana untuk menginformasikan atau memberikan edukasi kepada konsumen terhadap suatu produk atau merek sehingga konsumen menjadikan konsumen lebih loyal terhadap merek atau produk. Penelitian ini memiliki tujuan untuk mengetahui apakah terdapat pengaruh Digital Marketing Mobile Application terhadap Loyalitas Pelanggan pada layanan yang dimiliki oleh Gojek secara simultan ataupun parsial. Penelitian yang dilakukan menggunakan metode kuantitatif. Variabel-variabel yang dianalisis adalah interactive, incentive programs, site design dan transaction/cost sebagai variabel independen, dan loyalitas oelanggan sebagai variabel dependen. Untuk pengumpulan data, peneliti menggunakan kuesioner secara online melalui googleform dengan jumlah responden sebanyak 400 orang. Teknik sampling yang digunakan yaitu purposive sampling dan metode pengumpulan data dengan kuesioner (Skala Likert) dan studi kepustakaan. Teknik analisis data yang dilakukan melalui model analisis Structural Equation Modellung (SEM) yang di olah dengan bantuan aplikasi SmartPLS 3.0.
Grass competition overwhelms effects of herbivores and precipitation on early tree establishment in Serengeti

Savanna ecosystems span a diverse range of climates, edaphic conditions, and disturbance regimes, the complexity of which has stimulated long‐standing interest in the mechanisms that maintain tree–grass coexistence. One hypothesis suggests that tree establishment is strongly limited by one or several demographic bottlenecks at early stages of the tree life cycle. A major impediment to testing this hypothesis is the lack of data on the relative strengths of different bottlenecks across key environmental gradients. To identify demographic bottlenecks that limit early tree establishment (0–18 months), we conducted a series of transplant experiments with two savanna trees species (Acacia robusta and Acacia tortilis) across a natural rainfall and soil fertility gradient in the Serengeti ecosystem, Tanzania. We tested the interactive effects of precipitation, herbivory, seed scarification, grass competition, water limitation, and tree species identity on two key life stages: germination and early seedling survival (0–2 months), and juvenile seedling survival (2–18 months). Germination and early seedling survival increased as a function of rainfall, in the absence of herbivores and when seeds were scarified. Juvenile seedling survival, in contrast, decreased with rainfall but increased in the absence of herbivores. Grass removal had the single strongest (positive) effect on juvenile seedling survival of any treatment. Soil moisture monitoring and grass‐addition treatments revealed that grasses negatively affected seedlings in ways that were not necessarily linked to soil moisture. A demographic model combining all effects across early life stages showed that the strength of grass competition on juvenile seedling survival was the key factor limiting early tree establishment. While rainfall had an unexpected opposing effect on the two life stages, the net effect of mean annual precipitation on early tree establishment was positive. Synthesis. Successful tree establishment in Serengeti is maximized by a seemingly unlikely sequence of events: (a) scarification of seeds by browsers, (b) heavy rainfall to promote germination, (c) intensive grazing (but absence of browsers), and (d) dry conditions during juvenile seedling growth (>2 months) to reduce competition with grasses. By considering a wide suite of conditions and their interactions, our experimental results are relevant to ongoing debates about savanna vegetation dynamics and structural shifts in tree:grass ratios.
Impact of dietary cold-pressed chia oil on growth, blood chemistry, haematology, immunity and antioxidant status of growing Japanese quail

Abstract Chia (Salvia hispanica L.) is a member of Labiate family and its seeds are rich in phenolic compounds and polyunsaturated fatty acids (PUFAs) which could enhance the performance and productivity of birds. This study was carried out to determine the effects of supplementation with cold-pressed chia oil at different concentrations on the growth performance, carcase traits, haematology, blood chemistry, immunity and antioxidant status of growing quails. A total of 240 growing quails (1 week-old) were divided equally into five groups (4 replicates with 12 birds each). The experimental groups were G1 (basal diet), G2 (basal diet + 0.4 g chia oil/kg diet), G3 (basal diet + 0.8 g chia oil/kg diet), G4 (basal diet + 1.2 g chia oil/kg diet) and G5 (basal diet + 1.6 g chia oil/kg diet). Birds in the G2 group exhibited the highest body weight at 3 and 5 weeks of age, and the highest body weight gain at 1–3 weeks (6.24 g) and 1–5 weeks (6.17 g). Birds fed diets enriched with 0.4% chia oil exhibited the best FCR values. Dietary supplementation with chia oil increased the red blood cells (RBCs), white blood cells (WBCs), haemoglobin (HGB) and haematocrit (HCT) when compared to the control group (G1). The antioxidant and immunity parameters were not affected by the supplementation of diet with chia oil. This study showed that quail diet supplementation with 0.4 g chia oil/kg diet improved the growth performance, certain blood parameters and lipid profile. Highlights Phytobiotics recently achieved an attention in poultry feed. Cold-pressed chia oil dietary supplementation for quail diet. G2 possessed the heaviest bodyweight and consumed the lowest feed with the best feed conversion ratio. Quail diet supplementing with 0.4 chia oil/kg diet, improved the growth performance, some blood parameters, lipid profile and immunity.
Systemic co-morbidities as a barrier to uptake of cataract surgery in Ibadan, Nigeria

Background: Barriers to uptake of cataract surgery in a developing country like Nigeria are numerous, most researches focus on patient related factor like financial constraint however this study aims to assess the systemic co-morbidities that act as a barrier to uptake of cataract surgery at University College Hospital Ibadan, Oyo-State, Nigeria so that measures can be put in place to minimize this effect and thereby increase cataract surgery uptake in the centre. Results: Three hundred and eighty-eight cataract patients participated in the study. The mean age of the patients was 66.6±11.2years with a range of 40 to 90 years. More than half (66.2%) of the study participants had systemic co-morbidities. Poorly controlled systemic hypertension is the most common cause of systemic co-morbidities that constitute significant barrier to uptake of cataract surgery. Conclusion: There is a need for good and close collaboration between the physicians and the ophthalmologists so as to make management of cataract patients with systemic co-morbidities easier and more efficient at the Eye Outreach Clinic of University College Hospital, Ibadan.
Indole-3-butyric Acid Improves Root System Quality in Guarana Cuttings

The economic potential of guarana relies on the energetic and medicinal properties of its seeds, which can be used to produce soft drinks, sticks, powder, and syrup. Brazil is the only guarana producer on a commercial scale, and the guarana crop system is the main agricultural activity in Maués, Amazonas. Although several types of technology have been developed to reduce costs and increase guarana productivity, the most important optimization of seedling production by cutting still needs to improve the rooting percentage and reduce mortality rates. However, the use of rooting inducers for guarana is still unestablished. Therefore, we evaluated the rooting potential of herbaceous cuttings from three guarana cultivars under different indole-3-butyric acid (IBA) concentrations. We recorded qualitative data from the roots of the cuttings. The IBA doses did not increase the percentage of rooted cuttings; however, they increased the root system quality of the guarana cuttings. We present this rooting method for the guarana plant as the most appropriate and least costly for small producers.
Polycentric urban development and urban amenities: Evidence from Chinese cities

The recent literature on the “consumer city” and the “love of variety” argues that the provision of urban amenities makes a city more attractive. Meanwhile, polycentric urban development has been highlighted by academics and policymakers as a sustainable urban development regime, although its purported benefits need to be further investigated. Against this background, this paper empirically examines the relationship between polycentricity and the provision of urban amenities in 309 Chinese cities. After controlling for the size, population density, wage, and human capital, this paper finds that a higher degree of intra-urban polycentricity is associated with a larger number of urban amenities. Additionally, when all the covariates above are held, a higher degree of intra-urban polycentricity is associated with a greater diversity of urban amenities. Robust checks show that these findings are consistent with different polycentricity indices and diversity measures. Finally, possible explanations of the relationship between intra-urban polycentricity and urban amenities are provided from both the producer and consumer perspectives.
A Moist Physics Parameterization Based on Deep Learning

Current moist physics parameterization schemes in general circulation models (GCMs) are the main source of biases in simulated precipitation and atmospheric circulation. Recent advances in machine learning make it possible to explore data‐driven approaches to developing parameterization for moist physics processes such as convection and clouds. This study aims to develop a new moist physics parameterization scheme based on deep learning. We use a residual convolutional neural network (ResNet) for this purpose. It is trained with 1‐year simulation from a superparameterized GCM, SPCAM. An independent year of SPCAM simulation is used for evaluation. In the design of the neural network, referred to as ResCu, the moist static energy conservation during moist processes is considered. In addition, the past history of the atmospheric states, convection, and clouds is also considered. The predicted variables from the neural network are GCM grid‐scale heating and drying rates by convection and clouds, and cloud liquid and ice water contents. Precipitation is derived from predicted moisture tendency. In the independent data test, ResCu can accurately reproduce the SPCAM simulation in both time mean and temporal variance. Comparison with other neural networks demonstrates the superior performance of ResNet architecture. ResCu is further tested in a single‐column model for both continental midlatitude warm season convection and tropical monsoonal convection. In both cases, it simulates the timing and intensity of convective events well. In the prognostic test of tropical convection case, the simulated temperature and moisture biases with ResCu are smaller than those using conventional convection and cloud parameterizations.
Races of Colletotrichum lindemuthianum (Sacc. Magnus) Briosi Cavara in major bean growing regions in Tanzania

Breeding for resistant varieties has been shown to be the most suitable method to control bean anthracnose caused by Colletotrichum lindemuthianum though the method is challenged by the existence of many races of the pathogen. This work focused on characterizing races of C. lindemuthianum from potential bean agro ecological zones of Tanzania using a set of differential bean cultivars. From 144 anthracnose infected bean samples collected, 50 pure isolates were obtained and characterized whereby 42 races were identified. The most virulent race identified was race 3610 from the Southern Highland zone of Tanzania while the least virulent was characterized as race 0. Race 2 was the most widely spread (4.2 %) found in Northern, Southern highland and in Eastern zones of Tanzania. The work confirms that G2333 can still be used as a potential donor of resistant genes to varieties that are to be grown in Northern, Eastern and Lake zones but not for the varieties from Southern Highland and Western zones of Tanzania since isolates from these zones overcame resistant genes Co-42, Co-5, Co-7 in G2333. 95% of all races which were identified are new and were not specific to either Mesoamerican or Andean origin common bean. Key words: Colletotrichum lindemuthianum, races, resistant genes, differential cultivars, Anthracnose.
Root morphology and the effect of rootstocks on leaf nutrient acquisition of Kinnow mandarin (Citrus nobilis Loureiro × Citrus reticulata Blanco)

ABSTRACT The study aimed to understand the root morphological character of 1 year old seedling rootstock of citrus genotypes viz., rough lemon, Karna Khatta, Carrizo citrange, Rangpur lime, Troyer citrange, Jatti Khatti and sour orange as well as to investigate the effect of these rootstocks on the leaf mineral composition of Kinnow. Root morphological traits showed significant genotypic variation. Rough lemon seedlings had a higher root length, projected area, surface area, volume and the number of forks. Sour orange was moderate rootstock of the 7 genotypes for most of the root morphological characters, while citrange rootstocks expressed poor root morphology. The rootstocks also imparted significant influence on the leaf mineral composition. Leaf K, Ca and Mg content was recorded maximum in plants grown on rough lemon seedling, while N, P, Fe, Zn, Mn and Cu concentration was higher on sour orange rootstock. Kinnow trees on Rangpur lime rootstock accumulated more Na in their leaf tissue, where as Troyer citrange restricted the accumulation of Na. Considering the root morphological characters and nutrient accumulation pattern, rough lemon and sour orange for areas free from tristeza virus could be suggested as alternative rootstocks for the studied Kinnow mandarin under similar ecological conditions.
Comparative Response of Red and Green Algae to the Quality of Coastal Water of Red Sea, Haql, Saudi Arabia

Aquatic plants are always exposed to various types of stresses and the marine algae have been considered as useful bioindicators for detecting different kinds of environmental alterations. Present investigation was carried out to test the comparative response of red algae (Gracilaria salicornia and Digenea simplex) and green algae (Enteromorpha compressa and Sargassum muticum) to the contaminants present in their surrounding growth medium. The results of the study show that the studied macroalgae responded differently in terms of physiological and biochemical parameters. Green algae exhibited higher concentration of Chl a, b, total chlorophyll content and Chl a:b ratio and carbohydrates content. Whereas, red algae showed higher content of carotenoids, phycocyanin and phycoerythrin and protein content. Moreover, red algae G. salicornia and D. simplex showed lower level of hydrogen peroxide content and TBARS and higher values of proline and glycine betaine content and activities of antioxidant enzymes viz. superoxide dismutase, peroxidase, and catalase than the green algae. Taking all these together, it can be concluded that red algae possess strong defense system than the green algae. Among the studied species, red algae G. salicornia was found best in having a stronger defense system.
Hydrodynamic Forces of a Semi-Submerged Cylinder in an Oscillatory Flow

This work experimentally investigated the performance of hydrodynamic forces on a semi-submerged cylinder under an oscillatory flow. To generate the equivalent oscillatory flow, the semi-submerged cylinder is forced to oscillate in several combinations of different periods and amplitudes. The mean downward lift force was observed to be significant and the fluctuating lift forces show dominant frequency is twice that of oscillatory flow and amplitude that is the same as the mean lift force. Based on this main hydrodynamic feature, a novel empirical prediction formula for the lift forces on semi-submerged cylinder under oscillatory flow is proposed where the lift forces expression is proportional to the square of oscillatory flow velocity. This novel empirical formula directly assigns the fluctuating lift force with frequency twice of oscillatory flow and the amplitude that is the same as the mean lift force. This assignment of empirical lift force formula reduces parameters required to determine a dynamic lift force but is demonstrated to well predict the fluctuating lift force. The lift coefficient can reach 1.5, which is larger than the typical value 1.2 of the drag coefficient for a fully submerged cylinder with infinite depth. Moreover, relationships among hydrodynamic coefficients, Keulegan-Carpenter (KC) number, Stokes number and Froude number are studied. With the increase of KC number, the Froude number has a more significant influence on the distribution of hydrodynamic coefficients. As Froude number is increasing, the drag coefficient shows a nonlinear decay (KC < 20) but a linear increase (KC > 20), while the added mass coefficients show a nonlinear (KC < 20) and a linear (KC > 20) increase trend. The present work can provide useful references for design of the relevant marine structures and serve as the useful guideline for future research.
Effect of Preoperative Duloxetine on Opioid Consumption in Women Undergoing Abdominal Hysterectomy: A Randomized, Double-Blinded, Placebo-Controlled Trial

Background Pain is one of the most challenging issues following surgery, and it is crucial to provide adequate and appropriate pain control measures. Objectives This study assessed the efficacy of preoperative duloxetine in controlling postoperative pain in women following an abdominal hysterectomy in Yas Hospital affiliated to Tehran University of Medical Sciences between December 2019 and April 2020. Methods The study involved 80 women who were candidates for elective abdominal hysterectomy. The participants were randomly assigned to one of two groups. Group 1 received a 60 mg duloxetine capsule two hours before surgery. Group 2 received placebo following the same schedule. The amount of administrated opioids and the time from surgery to the administration of opioids were recorded, along with the frequency of nausea and vomiting experienced. Results Two patients from each group withdrew before the study ended. In total, 38 women in each group were assessed. There were no significant differences in age, duration of surgery, and the amount of administrated opioids between the two groups. However, the number of patients who had nausea and vomiting differed significantly between the two groups (65% vs. 34%; P = 0.006). Conclusions Our findings showed that duloxetine was not effective in controlling pain after abdominal hysterectomy. In addition, patients who received duloxetine had a significantly higher rate of nausea/vomiting.