Miracle-dz/UniFAR-FTUs huggingface dataset:
Tomato Growth, Yield, and Root Development, Soil Nitrogen and Water Distribution as Affected by Nitrogen and Irrigation Rates on a Florida Sandy Soil

Effective nutrient and irrigation management practices are critical for optimum growth and yield in open-field fresh-market tomato production. Although nutrient and irrigation management practices have been well-studied for tomato production in Florida, more studies of the current highly efficient production systems would be considered essential. Therefore, a two-season (Fall 2016 and Spring 2017) study was conducted in Immokalee, FL, to evaluate the effects of the nitrogen (N) rates under different irrigation regimes and to determine the optimum N requirement for open-field fresh-market tomato production. To evaluate productivity, the study investigated the effects of N rates and irrigation regimes on plant and root growth, yield, and production efficiency of fresh-market tomato. The study demonstrated that deficit irrigation (DI) targeting 66% daily evapotranspiration (ET) replacement significantly increased tomato root growth compared with full irrigation (FI) at 100% ET. Similarly, DI application increased tomato growth early in the season compared with FI. Therefore, irrigation applications may be adjusted downward from FI, especially early during a wet season, thereby potentially improving irrigation water use efficiency (iWUE) and reducing leaching potential of Florida sandy soils. However, total marketable yield significantly increased under FI compared with DI. This suggests that although DI may increase early plant growth, the application of DI throughout the season may result in yield reduction. Although N application rates had no significant effects on biomass production, tomato marketable yield with an application rate of 134 kg·ha−1 N was significantly lower compared with other N application rates (179, 224, and 269 kg·ha−1). It was also observed that there were no significant yield benefits with N application rates higher than 179 kg·ha−1. During the fall, iWUE was higher under DI (33.57 kg·m−3) than under FI (25.57 kg·m−3); however, iWUE was similar for both irrigation treatments during spring (FI = 14.04 kg·m−3; DI = 15.29 kg·m−3). The N recovery (REC-N) rate was highest with 134 kg·ha−1 N; however, REC-N was similar with 179, 224, and 269 kg·ha−1 N rates during both fall and spring. Therefore, these study results could suggest that DI could be beneficial to tomato production only when applied during early growth stages, but not throughout the growing season. Both yield and efficiency results indicated that the optimum N requirement for open-field fresh-market tomato production in Florida may not exceed 179 kg·ha−1 N.
The Effect of Profitability, Leverage, and Size on Environmental Disclosure with the Proportion of Independent Commissioners as Moderating

The purpose of this study is to evaluate the effect of profitability, leverage, and company size on environmental disclosure with the proportion of independent directors as moderator. A maximum of 61 agricultural and mining sector companies listed on the Indonesia Stock Exchange in 2014-2018 was the population of this report. The sampling method used purposing sampling, so with 45 units of analysis, we get 9 sample companies. The quantitative method used regression analysis for balance. The results show that profitability does not influence on environmental disclosure. Leverage has a negative effect on environmental disclosure. Company size has a positive effect on environmental disclosure. The proportion of independent directors is able to moderate the effect of profitability on environmental disclosure but is not able to moderate the effect of leverage and company size on environmental disclosure. This study concludes that leverage has a negative relationship with environmental disclosure and firm size has a positive relationship with environmental disclosure and the proportion of independent commissioners moderates the relationship between profitability and environmental disclosure. The findings show the important role of independent commissioners in environmental disclosure, namely providing investors with a balance and maintaining an unbiased and impartial atmosphere.
Selling salvation, selling success: neoliberalism and the US Prosperity Gospel

Neoliberalism relies on optimism. Without faith in meritocracy—unwavering belief that rewards will eventually and justly come to those who work hard enough—support for the capitalist system and belief in neoliberalism would unravel. How that optimism is perpetuated in the face of persistent income inequality and exploitation within the workplace requires an examination of those cultural institutions which reinforce and reproduce optimism over practical experience. This research focuses on one particular religious institution of the USA—the Prosperity Gospel. The Prosperity Gospel is a modern, neoliberal variation of Pentecostalism that is premised on the belief that a Biblical covenant between the individual believer and God guarantees that believer blessings of health and wealth, provided she demonstrates adequate faith. Accordingly, for those who are less adept at navigating the business world, financial success is still available for those believers who can dedicate themselves with the same frenzied ambition to the spiritual world. The Prosperity Gospel thus supports and sustains neoliberalism; the Prosperity Gospel is an institution which provides refuge to individuals from the exigencies of the market as well as a social practice which reinforces individual responsibility and fault. The Prosperity Gospel is the spiritual articulation of neoliberalism as well as a reinforcing institution.
Shallow seismic reflection imaging of the Alpine Fault through late Quaternary sedimentary units at Whataroa, New Zealand

ABSTRACT The glacio-fluvial sediments of the Whataroa Valley on the west coast of New Zealand’s South Island contain a record of environmental change since the Last Glacial Maximum. The valley is cut by the Australia–Pacific plate-bounding Alpine Fault, the position of which is obscured by recent glacio-fluvial outwash deposits. Five seismic profiles collected across the inferred surface trace of the Alpine Fault between 2011 and 2018, using a variety of source types, are presented here; these profiles provide constraints on the fault’s location in the upper few hundred metres of the near surface. The sedimentary strata in the Whataroa Valley have been classified into seismic facies based on their reflectivity characteristics. Two reflective seismic facies, recognisable in all profiles, have been interpreted to correspond to recent fluvial outwash gravels (seismic facies 1) and older post-glacial glaciofluvial or marine sediments (seismic facies 2). These reflective packages are cut by Alpine Fault rupture surfaces with reverse motion dips of 60° to 80° and total throw of up to 50 m. Faults imaged in three of the profiles are interpreted to correspond to the most recent surface rupture of the Alpine Fault, due to their close proximity to a recently trenched surface scarp.
Antioxidant‐related parameters, digestive enzyme activity and intestinal morphology in rainbow trout (Oncorhynchus mykiss) fry fed graded levels of red seaweed, Gracilaria pygmaea

This study was conducted to investigate the effects of dietary red seaweed, Gracilaria pygmaea level on growth, antioxidant-related parameters, digestive enzyme activity and intestinal morphology of rainbow trout (Oncorhynchus mykiss) fry. Five isocaloric and isonitrogenous diets were formulated to contain four G. pygmaea levels (30 (GL-30), 60 (GL-60), 90 (GL-90) and 120 g/kg (GL-120)), and a control diet was used, without inclusion of seaweed. Results of the feeding trial indicated that final body (FBW: 2.8–3.5 g) and specific growth rate (SGR: 4.8–5.2) were significantly improved when 60 g/kg G. pygmaea was supplemented in the diets. However, there was a significant reduction (p < .05) of final body weight (FBW) and specific growth rate (SGR) in fish fed 120 g/kg G. pygmaea. Protease activity was significantly lower in fish fed GL-120 diet when compared to GL-30 or control (p < .05). Lipase was significantly affected by dietary seaweed regardless its level of supplementation (p < .05). The inclusion of the Gracilaria in the diet led to evident changes in the fish antioxidant status with significant reduction of superoxide dismutase, glutathione peroxidase activity and lipid peroxidation products. The histological study demonstrated that all groups of fish displayed normal morphology of anterior intestine and pyloric caeca. Villi absorptive area in the anterior intestine of treatment groups GL-90 and GL-120 significantly decreased (p < .05). Overall, the results obtained in this study indicate that dietary G. pygmaea supplementation up to 90 g/kg improves growth performance in rainbow trout fry without compromising antioxidant responses and digestive function.
A Convection Parameterization for Low-CAPE Environments

Numerical models that are unable to resolve moist convection in the atmosphere employ physical parameterizations to represent the effects of the associated processes on the resolved-scale state. Most of these schemes are designed to represent the dominant class of cumulus convection that is driven by latent heat release in a conditionally unstable profile with a surplus of convective available potential energy (CAPE). However, an important subset of events occurs in low-CAPE environments in which potential and symmetric instabilities can sustain moist convective motions. Convection schemes that are dependent on the presence of CAPE are unable to depict accurately the effects of cumulus convection in these cases. A mass-flux parameterization is developed to represent such events, with triggering and closure components that are specifically designed to depict subgrid-scale convection in low-CAPE profiles. Case studies show that the scheme eliminates the “bull’s-eyes” in precipitation guidance that develop in the absence of parameterized convection, and that it can represent the initiation of elevated convection that organizes squall-line structure. The introduction of the parameterization leads to significant improvements in the quality of quantitative precipitation forecasts, including a large reduction in the frequency of spurious heavy-precipitation events predicted by the model. An evaluation of surface and upper-air guidance shows that the scheme systematically improves the model solution in the warm season, a result that suggests that the parameterization is capable of accurately representing the effects of moist convection in a range of low-CAPE environments.
Elucidating the role of a novel DNA-binding protein identified in the diatom Thalassiosira pseudonana for coping with nutrient and temperature stress

Diatoms are associated with nutrient rich waters with high biomass that are commonly found at high latitudes, in coastal waters, in upwelling zones or during seasonal blooms.They display an opportunistic growth described as a ’bloom and bust’ life cyce and a remarkable diversity. These caracteristics are considered to be responsible for their success in aquatic environments and the reason why they contribute about 20% of global primary production and allow them to quickly dominate phytoplankton communities when environmental conditions become favourable. The processes that enable this impressive plasticity of diatoms in response to environmental variability are mostly unknown. A novel conserved DNA binding protein (BIG1) was recently identified and found to differentially regulate genes involved in progression through the cell cycle in centric diatoms as well as about 30% of genes found in natural centric diatom blooms. In our study we show that the BIG1 protein is linked to the regulation of initiation of fast growth upon nutrient addition. Overexpression of BIG1 in the model centric diatom Thalassiosira pseudonana enabled fast recovery and growth after a period of nitrogen stravation and exposure to low and high temperature as well as fostered growth under suboptimal temperatures. We present evidence that BIG1 has an impact on photosynthesis and suggest its involvement in directing the photosynthetic electron flow around Photosystem I. Our results may provide insights into regulatory processes that govern diatoms’ oportunistic growth.
Oil content, fatty acid composition and biodiesel properties among natural provenances of Siberian apricot (Prunus sibirica L.) from China

Siberian apricot (Prunus sibirica L.), an excellent woody oil plant unique to Asia, is well known for its ability to produce high‐oil seeds for use as a promising feedstock of biodiesel. Based on the investigation of natural Siberian apricot resources in China in the early stage, seeds of Siberian apricot from 74 geographic provenances which can fully reflect the overall information were collected. In this research, seeds oil content, fatty acid composition and biodiesel properties were evaluated, and the key environmental factors that caused the variation of these in different geographic provenance were analyzed. The oil content of Siberian apricot seeds is 45.48%–61.07%, and the average was 50.95% for all provenances. The characteristics of oil can identify and quantify eight fatty acids. The most abundant fatty acids were oleic acid (C18:1; 54.02%–76.54%), followed by linoleic acid (C18:2; 16.78%–38.49%) and erucic acid (C16:0; from 3.27% to 6.12%). Monounsaturated fatty acids are the most abundant in 54.75%–77.03% compared with saturated fatty acids and polyunsaturated fatty acids. The biodiesel properties of most provenance seeds meet the standards of the ASTM D6751 and GB/T 20828, and a few meet the standards of the EN14214. Through the clustering of oil content and fatty acid composition and the analysis of biodiesel properties indexes, it is concluded that KSK provenance is the most suitable for biodiesel production. The XBZ, HHE, AES, ZLQ and LD provenances may be preserved as potential biodiesel. RDA and VPA showed that the effects of environmental factors on the oil properties of Siberian apricot were ranked as terrain factor > climate factor > soil factor, among which longitude, latitude and altitude are the main terrain indicators. These evaluations can provide reference for the effective utilization and further development of Siberian apricot as a bioenergy feedstock.
The Evaluation of Health-Care Associated Infections In a Tertiary Intensive Care Unit

Amac: Bu calisma ile hastanemizin ucuncu basamak bir yogun bakim unitesinde (YBU) tespit edilen saglik bakimi iliskili enfeksiyonlarin (SBIE) epidemiyolojik ozelliklerinin belirlenmesi ve bulas yollari ile ilgili degerlendirilme yapilmasi amaclanmistir. Gerec ve Yontem: YBU’de iki yil boyunca takip edilen toplam 1278 hastanin takipleri retrospektif olarak incelendi. SBIE tanisi "Hastalik Kontrol ve Onleme Merkezleri (CDC)" kriterlerine gore degerlendirildi. Bulgular: Takip edilen hastalarin 57 tanesinde SBIE tespit edildi ve 54 etken saptandi. Yogun bakima yatirilan hastalar arasinda SBIE gelisme orani %5,24 olarak hesaplandi. Bu unitede; mekanik ventilator kullanim gunu 3483, ventilator kullanim orani %51, VIP hizi 0,86, UK kullanim gunu 6734, UK kullanim orani %100, KI-USE hizi 0,89, SVK kullanim gunu 4327, SVK kullanim orani%63, SVKI-KDE hizi 3,93 olarak belirlendi. SBIE gorulen hastalarda en sik spesifik laboratuvar bulgulari olan pnomoni tespit edildi (%33,4). Bunu sirasiyla alt solunum yollarinin diger enfeksiyonlari (%31,6), SVKI-KDE (%14), KI-USE (%7), VIP (%5,2), klinik olarak tanimlanmis pnomoni (%5,2), yumusak doku enfeksiyonu (YDE) (%1,8) ve laboratuvar tarafindan kanitlanmis KDE (%1,8) izledi. SBIE etkeni olarak 11 farkli mikroorganizma saptandi. Tum SBIE patojen dagilimina bakildiginda %87,1 oraninda Gram negatif, %12,9 Gram pozitif patojen goruldu. Acinetobacter baumanni en sik saptanan patojendi (%51,9). Bunu sirasiyla Psodomonas aeruginosa (%11,1), Klebsiella pneumoniae (%9,3), Staphylococcus aureus (%5,6), Escherichia coli (%5,6), Stenotrophomonas maltophila (%5,6), Enterococcus faecium (%3,7), Acinetobacter lwoffi (%1,9), Enterococcus faecalis (1,9%), Koagulaz-negatif stafilokok (%1,9) ve Enterobacter cloacae (%1,9) izledi. Sonuc: Her unite kendi hasta profilini, florasini ve bunlarin direnc paternlerini surveyans calismalari yaparak saptamali ve tedavi stratejilerini buna gore planlamalidir.
Employee involvement for continuous improvement and production repetitiveness: a contingency perspective for achieving organisational outcomes

Abstract A debated issue in the literature regards whether the effect of employee involvement for continuous improvement on organisational outcomes differs in contexts with different degrees of production repetitiveness. Divergent positions can be found both in the OM and HRM field. This paper aims at investigating the direct and indirect effect (through Just In Time (JIT) and Total Quality Management (TQM)) of employee involvement for continuous improvement on organisational outcomes (quality, cost, responsiveness and employee relations), and the moderation of production repetitiveness on both these effects. Survey data analyses support that employee involvement for continuous improvement has a significant indirect effect on organisational outcomes through JIT and TQM which is not moderated by production repetitiveness. Instead, lowering production repetitiveness, the direct impact of employee involvement decreases and could become even non-significant. These results contribute to OM and HRM literatures, by emphasising the need to distinguish between direct and indirect effect when studying the role of production repetitiveness as a contingency. Overall, this research contributes to a better understanding of the mechanisms through which employee involvement for continuous improvement affect organisational outcomes.
Comparing Deep Learning and Statistical Methods in Forecasting Crowd Distribution from Aggregated Mobile Phone Data

Accurately forecasting how crowds of people are distributed in urban areas during daily activities is of key importance for the smart city vision and related applications. In this work we forecast the crowd density and distribution in an urban area by analyzing an aggregated mobile phone dataset. By comparing the forecasting performance of statistical and deep learning methods on the aggregated mobile data we show that each class of methods has its advantages and disadvantages depending on the forecasting scenario. However, for our time-series forecasting problem, deep learning methods are preferable when it comes to simplicity and immediacy of use, since they do not require a time-consuming model selection for each different cell. Deep learning approaches are also appropriate when aiming to reduce the maximum forecasting error. Statistical methods instead show their superiority in providing more precise forecasting results, but they require data domain knowledge and computationally expensive techniques in order to select the best parameters.
Rainbow trapping of spoof acoustic surface waves in a defective closed surface

In this paper, we demonstrate that rainbow trapping of spoof acoustic surface waves (SASWs) can be realised by introducing structured defects on a textured closed surface in the subwavelength scale. To analyse the basic mechanism of the trapping of SASWs, we first introduce a defective zigzag groove in a closed surface and illustrate that the SASWs can be effectively trapped in the defect when the frequency exceeds the cut-off frequency of the periodic grooves on both sides. Subsequently, we experimentally demonstrate the spatial–spectral separation effect of SASWs by introducing three defective zigzag grooves with different curl numbers in the closed surface. Finally, we design a structure with gradient defective zigzag grooves to show the rainbow trapping of SASWs and spatial separation of different frequency components at different positions. Our results may have potential applications in miniaturised acoustic devices.
Confidence modulates exploration and exploitation in value-based learning

Uncertainty is ubiquitous in cognitive processing, which is why agents require a precise handle on how to deal with the noise inherent in their mental operations. Previous research suggests that people possess a remarkable ability to track and report uncertainty, often in the form of confidence judgments. Here, we argue that humans use uncertainty inherent in their representations of value beliefs to arbitrate between exploration and exploitation. Such uncertainty is reflected in explicit confidence judgments. Using a novel variant of a multi-armed bandit paradigm, we studied how beliefs were formed and how uncertainty in the encoding of these value beliefs (belief confidence) evolved over time. We found that people used uncertainty to arbitrate between exploration and exploitation, reflected in a higher tendency towards exploration when their confidence in their value representations was low. We furthermore found that value uncertainty can be linked to frameworks of metacognition in decision making in two ways. First, belief confidence drives decision confidence—that is people’s evaluation of their own choices. Second, individuals with higher metacognitive insight into their choices were also better at tracing the uncertainty in their environment. Together, these findings argue that such uncertainty representations play a key role in the context of cognitive control.
Bioaccumulation of Heavy Metals by Metal-Resistant Bacteria Isolated from Tagetes minuta Rhizosphere, Growing in Soil Adjoining Automobile Workshops

Kulsoom Akhter1,*, Tahseen Ghous1,2, Saiqa Andleeb 3, Faiz-ul-Hassan Nasim4, Samina Ejaz5, Zain-ul-Abdin1, Bilal Ahmed Khan1 and Muhammed Naeem Ahmed1 1Department of Chemistry, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan 2Department of Chemistry, Mirpur University of Science and Technology, Mirpur, Pakistan 3Department of Zoology, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan 4Department of Chemistry, The Islamia University of Bahawalpur, Bahawalpur, Pakistan 5Department of Biochemistry and Biotechnology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Pollock and “the Blob”: Impacts of a marine heatwave on walleye pollock early life stages

Starting in the winter of 2013/2014, anomalous atmospheric conditions over the northeast Pacific Ocean led to the largest marine heatwave on record (Bond et al., 2015; Di Lorenzo & Mantua, 2016). The heatwave, nicknamed “The Blob” (Bond et al., 2015), persisted through 2015 and into 2016, with sea surface temperatures up to three standard deviations above average (Di Lorenzo & Mantua, 2016). The anomalously warm waters in the northeast Pacific corresponded to abnormal ecological observations spanning multiple trophic levels. In the California Current System, phytoplankton production and biomass were low (GómezOcampo et al., 2018), gelatinous zooplankton proliferated (Brodeur et al., 2019), a toxic algal bloom related to warm conditions spanned the North American west coast with major fisheries-related economic repercussions (McCabe et al., 2016), Columbia River Received: 12 June 2020 | Revised: 25 August 2020 | Accepted: 7 September 2020 DOI: 10.1111/fog.12508