Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of organic manures in combination with Azotobacter in strawberry: effect on growth, yield and quality attributes

Abstract The use of organic manures and biofertilizers as a nutrient source is a sustainable production method to improve crop yield and quality. A pot experiment was conducted during the year 2017–18 and 2018–19 at hi-tech greenhouse of the Department of Horticulture, Choudhary Charan Singh Haryana Agricultural University, Hissar, Haryana (India) with comprised of nine treatments, viz., Sand: FYM (3:1), Sand: FYM (2:1), Sand: Vermicompost (3:1), Sand: Vermicompost (2:1), Sand: FYM (3:1) + Azotobacter, Sand: FYM (2:1) + Azotobacter, Sand: Vermicompost (3:1) + Azotobacter, Sand: Vermicompost (2:1) + Azotobacter and Control (Sand), in a complete randomized design with five replications, over a two-growing seasons. Plants supplied with Sand: Vermicompost (2:1) + Azotobacter inoculation recorded higher plant growth, fruit yield, which was at par with Sand: Vermicompost (3:1) + Azotobacter inoculation than other combination. Maximum TSS, vitamin C and anthocyanin content were observed under the treatment combination of sand: vermicompost (2:1) + Azotobacter inoculation in comparison with other treatments. The results demonstrated that there will be a significant improvement in growth, yield and quality attributes of strawberry, when plats supplied with organic manure in combination of Azotobacter inoculation than without manure and biofertilizer inoculation.
Improved grazing angle bidirectional reflectance distribution function model using Rayleigh–Rice polarization factor and adaptive microfacet distribution function

Abstract. The bidirectional reflectance distribution function (BRDF) describes optical scattering off realistic surfaces. The microfacet BRDF, while computationally simple, lacks accuracy especially for grazing angles. An approximation, which replaces mathematically problematic elements of the microfacet model with the polarization factor from wave optics, has proved useful in accurately modeling the grazing region. We now expand upon this analysis by additionally varying the microfacet distribution function—a fundamental part of microfacet BRDF models. We find that after choosing the best microfacet distribution, 12 of the 18 materials studied show a significant improvement in the BRDF fit at grazing angles using the proposed approximation. Additionally, there was one case for which the approximation produced a model statistically tied for best within the experimental uncertainty of the data. The remaining five materials have significant sources of error outside the grazing region and will be further studied in future work.
The Protective Effects of N-acetylcysteine against 5-Fluorouracil Induced Intestinal Toxicity in Albino Rats

5-fluorouracil (5-FU) is a is Pyrimidine analogue widely used in the treatment of various malignancies It belongs to the antimetabolites family that acts during the S-phase of the cell cycle thus it prevents DNA synthesis.N-acetylcysteine is nutritional complement acts as antioxidant.The purpose of the current study is to investigate whether there is a protective role of N-acetylcystein against intestinal toxicity induced by 5-fluorouracil in albino rats.18 healthy adult rats were distributed into 3 groups of 6 rats for each. Group A as a control group.Group B injected with 5-FU (20 mgs dissolved in 2ml normal saline per kilogram body weight intraperitoneally for 7 successive days while Group C received N-acetylcysteine 200 mg per kilogram body weight 24 hour prior to FU injections for 7 consecutive days. The animals were sacrificed specimens of intestine (colon) tissue of the three groups were removed and prepared for light microscopic examination.The sections were stained with Harris Hematoxylin and Eosin (H&E) stain and Masson's trichrome stain. Results showed increase in the depth of the colonic crypts in group B rats as compared to the control group, mucinous degeneration of the intestinal mucosal cells along with necrosis, and inflammatory cells infiltration in the lamia propria. The appearance of the crypts is nearly normal in group C with reduction in the depth and normal columnar epithelium lining the crypts the study concluded that 5-FU seriously affects the structure of the intestinal tissue and pretreatment with NAC protects the intestinal tissue against the toxic effects provoked by 5FU via antioxidant effect.
A-type Stellar Abundances: A Corollary to Herschel Observations of Debris Disks

In order to assess the relationship between metallicity and exoplanetary systems, we compare the abundances of AF-type main-sequence stars with debris disk properties assessed using Herschel observations of an unbiased survey of nearby stars. Hot stars are not as commonly observed, given their unique constraints in data reduction, lack of metal lines, and “astrophysical noise” from rotation speed. Here, we address that deficiency using new and archival spectra of 83 AF-type stars. We measure the abundances of a few species in addition to Fe in order to classify the stars with Ap/Am or Lambda Boo signatures. Lambda Boo stars have a chemical signature of solar-abundant volatile species and sub-solar refractory abundances that is hypothesized to be altered by the pollution of volatiles. Overall, we see no correlation between debris disks and metallicity, primarily because the sample size is cut significantly when using only reliable fits to the spectroscopic data. The abundance measured from the Mg ii 4481 blend is a useful diagnostic because it can be reliably measured at large v·sin(i) and is found to be lower around stars with bright debris disks. We find that Lambda Boo stars have brighter debris disks compared to a bias-free sample of AF stars. The trend with disk brightness and Mg abundances suggests pollution effects can be significant and used as a marker for the stability of planetary systems. We explore trends with other species, such as with the C/O ratios, but are significantly limited by the low number of reliable detections.
The Effect Of Work-Life Balance And Quality Of Work Life On Employee Performance With Gender As A Moderating Variable

Work-life balance and quality of work life are two ways to maintain good employee performance, which simultaneously result to meeting company goals. This present study aims to investigate the effect of work-life balance and quality of work life on employee performance with gender as a mediating variable. This study was done in a quantitative manner using explanatory research approach. This study examined employees from PT XYZ – one of multi-finance companies in Central Java. The data was collected by distributing questionnaires and then analyzed using moderated regression analysis (MRA). The results confirm that both work-life balance and quality of work life have a positive effect on the employee performance in PT XYZ. Further, the gender is also proven to moderate the effect of both work-life balance and quality of work life on the employee performance in PT XYZ. The use of gender as the mediating variable in this study contribute to the work-life balance literature, which makes it a differentiating factor from previous researches. The results of this study imply practical benefits for the employers in making decisions for their employees in efforts to achieve the work-life balance.
Superresolution mapping based on hybrid interpolation by parallel paths

ABSTRACT Superresolution mapping (SRM) is a technology to handle mixed pixels in remote sensing image. In this letter, a novel hybrid interpolation-based SRM by parallel paths (HISRM-PP) is proposed. Firstly, the two different high resolution fractional images for each class are respectively derived by parallel paths. Then the two kinds of high resolution fractional images are integrated to produce the higher resolution fractional images by the appropriate weighting parameter. Finally, the higher resolution fractional images are utilized to obtain SRM result by class allocation. Due to the parallel paths in HISRM-PP, the more spatial-spectral information of the original image is utilized to improve the accuracy of SRM result. Experimental results on the two real remote sensing data show that HISRM-PP produces the better SRM result than the existing hybrid interpolation-based SRM (HISRM).
THE EFFECT OF SEEDING DENSITY AND POTASSIUM RATES ON GROWTH AND YIELD OF PSYLLIUM SEED (Plantago ovata)

The study was conducted on psyllium seed to assess the combine effect of seeding density and potassium rates on growth, productivity and yield. A factorial study was carried out in Randomized Complete Block Design (RCBD), during winter season of 2020-21, at Tobacco and Medicinal Crop Research Institute, Tandojam. The seeding densities were maintained at 6.5, 7.5 and 8.5 kg ha-1. Whereas potassium was applied @ 0, 20, 40, 60, 80 and 100 kg ha-1. The data were recorded for various quantitative, qualitative and yield parameters. The results shown that all quantitative parameters had non-significant effect of various potassium levels and seeding density except plants m-2. The values of plants m-2 were observed higher at potassium level 100 kg ha-1 and seeding density level of 8.5 kg ha-1. While the qualitative parameters had significant differences due to various potassium levels and seeding density, excludes days to 50% spike emergence, days to 50% maturity and seed index. The seed weight spike-1 (g), seed index (g) and seed yield (kg ha-1) were observed maximum from the plants where potash was applied at 100 kg ha-1. In qualitative parameters, the seeding density at 7.5 kg ha-1observed higher seed yield (1152.33 kg ha-1). While higher seed weight spike-1 (0.14g) observed at seeding density 6.5 kg ha-1. Among growth parameter, leaf area was increased at potash level 60 kg ha-1 and the values of seeding density showed higher leaf area at seeding density level 8.5 kg ha-1. The same pattern showed of leaf area index where seeding density was higher at seeding density 8.5 kg ha-1. Leaf area duration and total dry matter were found significantly higher at potash level 100 kg ha-1 and seeding density 8.5 kg ha-1. While the net assimilation rate was greater at seeding density level 8.5 kg ha-1. It is concluded from the results that and seeding density 7.5 kg ha-1 and increased levels of potassium at 100 kg ha-1 had ensure better results for most quantitative, qualitative and yield attributes.
Buckling of a spinning elastic cylinder: linear, weakly nonlinear and post-buckling analyses

An elastic cylinder spinning about a rigid axis buckles beyond a critical angular velocity, by an instability driven by the centrifugal force. This instability and the competition between the different buckling modes are investigated using analytical calculations in the linear and weakly nonlinear regimes, complemented by numerical simulations in the fully post-buckled regime. The weakly nonlinear analysis is carried out for a generic incompressible hyperelastic material. The key role played by the quadratic term in the expansion of the strain energy density is pointed out: this term has a strong effect on both the nature of the bifurcation, which can switch from supercritical to subcritical, and the buckling amplitude. Given an arbitrary hyperelastic material, an equivalent shear modulus is proposed, allowing the main features of the instability to be captured by an equivalent neo-Hookean model.
The Impact of Strategic Foresight on Strategic Recovery / Field Research in Rafidain Bank

The research aims to determine the level of the main variables in the organization surveyed and test the impact of the relationship between strategic foresight in promoting strategic recovery and in order to achieve this was adopted dimensions of strategic foresight (environmental survey capabilities, strategic selection capabilities, integration capabilities), while the dimensions of strategic recovery were adopted (speed, apology, compensation, explanation and clarification, empowerment), has been selected (Rafidain Bank) to test this research, which is one of the ancient Iraqi banks that provides A group of banking services to a wide segment of society, and the questionnaire was adopted according to the five-point Lekerth scale as a tool for collecting information, as the research sample reached (133) individuals distributed to the managers of departments and branches in Baghdad and the provinces of Rafidain Bank and through the use of statistical programs such as (Amos21, SPSS24) and other related statistical methods, a set of results were reached, the most important of which is the high practice of strategic foresight dimensions In Rafidain Bank, which contributes to foreseeing the future and developing plans to confront potential events or problems and find appropriate solutions to reduce or reduce failure, which enhances strategic recovery and achieves organizational success.
Generating functions for characters and weight multiplicities of irreducible (4)-modules

Generating functions for the characters of the irreducible representations of simple Lie algebras are rational functions where both the numerator and denominator can be expressed as polynomials in the characters corresponding to the fundamental weights. They encode much information on the representation theory of the algebra, but their explicit expressions are in general very complicated. In fact, it seems that rank three is the highest rank tractable. In this paper, we use a method based on the quantum Calogero-Sutherland model to compute the full generating function for the characters of irreducible modules over the complex Lie algebra (4), and exploit this result to obtain also generating functions giving the multiplicities of some low order weights in all representations. We have applied the same method to compute the generating function for the characters of the modules the other rank three simple Lie algebras, but in these cases the full expressions are very long and appear only in the arXiv version of the paper (arXiv:1705.03711 [math-ph]). Nevertheless, when the generating functions are limited to some particular subsets of characters, the results are quite simple and we present them here.
Effect of plant growth regulators and chemicals on morphological traits and yield of banana cv.Grand Nain

Foliar application of CCC 1000 ppm at 4th and 6th month after planting of banana cv. Grand Nain significantly increased the pseudostem girth, number of leaves, root volume and number of roots. However, the maximum leaf area and leaf area index were recorded in brassinolide treated plants. CCC treatment improved the number of hands, number of fingers, finger size and thereby bunch weight, yielding maximum fruit of 80.38 t ha-1. The quality parameters viz., total soluble solids, ascorbic acid, reducing sugars and total sugars were also influenced significantly. by foliar spray of CCC at 1000 ppm concentration.
Entrepreneurship in a Gender Perspective in Indonesia Sub-Urban

Purpose: The purpose of this study is to analyze the interests and differences in entrepreneurship interests based on a gender perspective. Design/methodology/approach: The research method was designed with a descriptive approach and different tests using primary data. Primary data were collected through distributing questionnaires to 100 respondents using purposive sampling technique with a linkert scale. Findings: The results showed that the level of Advertisy Quotien, Self Efficacy, Need for Achievement, and Entrepreneurial Intention between men and women was quite high. In this study also found no differences in Advertisy Quotien, Self Efficacy, Need for Achievement, and Entrepreneurial Intention between men and women. Research limitations/implications: The research sample was taken from the city of South Tangerang by random technique Practical implications: In a gender view or study, entrepreneurship has no influence or difference between men and women. that is, all people whether male or female have the same level of ability and ability in entrepreneurship. Originality/value: Paper type: This paper can be categorized as case study paper
Your growth is my growth: examining sharenting behaviours from a multiparty privacy perspective

ABSTRACT Sharenting, a behaviour that parents share children’s personal information online, has brought about multiple privacy concerns and risks. Parents are criticised for violating children’s privacy and putting their identities at risk of being stolen. Existing sharenting studies tried to explain the sharenting behaviour based on the assumption that shared content is solely owned by children. This study, adopting a multiparty privacy perspective, proposed that sharenting content includes information owned solely by children and co-owned by parents and children, emphasizing the importance of recognizing information co-ownership by parents. By conducting 16 in-depth interviews, the current study investigated parents’ perceptions of sharenting content and explored factors that may influence sharenting behaviours. Results indicated that parents have a misunderstanding of information ownership and are unaware of children’s rights to co-owned information. Also, the sharenting behaviours are also influenced by audiences’ comments, family members’ privacy perceptions, cultural values, and exposure to negative news.
Modeling Large Dynamical Systems with Dynamical Consistent Neural Networks

This chapter contains sections titled: 8.1 Introduction, 8.2 Recurrent Neural Networks (RNN), 8.3 Dynamical Consistent Neural Networks (DCNN), 8.4 Handling Uncertainty, 8.5 Function and Structure in Recurrent Neural Networks, 8.6 Conclusion, Notes
Different Satellite Products Revealing Variable Trends in Global Gross Primary Production

Capturing the spatial and temporal dynamics of global gross primary production (GPP) and its underlying mechanisms is important for understanding the global carbon cycle and climate change. Satellite remote sensing enables continuous observation of vegetation dynamics over large regions, providing valuable opportunities for investigating spatial and temporal changes in GPP on a global scale. However, different GPP products typically exhibit significant disparities in terms of global GPP estimations and have different sensitivities to environmental factors due to model differences. Therefore, this study compared five global GPP products to identify the temporal and spatial trends of global GPP in recent years and the sensitivity to environmental factors. Results showed that although the annual mean value of terrestrial GPP exhibited an upward trend over the past three decades, their trends and growth rates on a global scale were not entirely consistent for the periods before and after 2000; they even exhibited opposing trends among different products in tropical regions. Although the spatial pattern of major environmental impact factors for different GPP products was consistent across the globe, some significant differences were observed among the different products. Clarifying the trends of GPP and its response to environmental factors under the current scenario of climate change needs to be further addressed.
The impact of performance-based assessment strategies on pre-service teachers’ self-efficacy and academic achievement in general physics

A quasi-experimental research design was conducted to investigate the impact of performance-based assessment (PBA) on pre-service teachers’ (PSTs) self-efficacy and academic achievement in general physics at Atebubu College of Education. The study was conducted on 144 primary education students in the second year who were assigned into experimental and control groups after conducting a pre-test. 72 students each were non-randomly assigned into the experimental and control group. Information on PSTs’ self-efficacy was derived by administering pre-service teachers’ self-efficacy scale whiles the academic achievement was determined by general physics achievement test. Statistical package for social sciences was used to analyze data to generate descriptive and inferential statistics. The self-efficacy of the experimental group and control group differed significantly after treatment. The experimental group had significantly higher post-test scores than the control group. This study identified PBA as a useful teaching strategy that improves PSTs’ problem-solving abilities and boosts their confidence in studying general physics.
Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network

A hybrid intelligent source surface model applying the artificial neural network tactic for solar wind speed prediction is presented in this paper. The model is a hybrid system merging various observational and theoretical information as input. Different inputs are tested including individual parameters and their combinations in order to select an optimum. Then, the optimal model is implemented for prediction. The prediction is validated by both error analysis and event‐based analysis from 2007 to 2016. The overall correlation coefficient is 0.74, and the root‐mean‐square error is 68 km/s. The probability for detecting a high‐speed‐event is 0.68, the positive predicted value is 0.73, and the threat score is 0.55.
Refractometers for different refractive index range by surface plasmon resonance sensors in multimode optical fibers with different metals

We have realized a plasmonic sensor based on Au/Pd metal bilayer in a multimode plastic optical fiber. This metal bilayer, based on a metal with high imaginary part of the refractive index and gold, shows interesting properties in terms of sensitivity and performances, in different refractive index ranges. The development of highly sensitive platforms for high refractive index detection (higher than 1.38) is interesting for chemical applications based on molecularly imprinted polymer as receptors, while the aqueous medium is the refractive index range of biosensors based on bio–receptors. In this work we have presented an Au/Pd metal bilayer optimized for 1.38-1.42 refractive index range.
Understanding the ion distributions near the boundaries of reconnection outflow region

An interesting signature observed shortly after the onset of magnetotail reconnection is the gradual appearance of a local peak of ion phase space density (PSD) in the duskward and downstream direction separated from the colder, nearly isotropic ion population. Such a characteristic ion distribution, served as a diagnostic signature of magnetotail reconnection and well reproduced by a particle‐tracing Liouville simulation, are found to appear only near the off‐equatorial boundaries of the reconnection outflow region. Further analysis on ion trajectories suggests that the ions within the local peak and within the neighboring PSD cleft both belong to the outflowing population; on top of their outflowing motion, they both meander across the neutral sheet to exhibit duskward velocities near the off‐equatorial edges of their trajectories. The difference between them is that the local peak originates from ions previously constituting the preonset plasma sheet, whereas the cleft corresponds to the inflowing lobe ions before they are repelled in the downstream direction. As reconnection proceeds, the local PSD peak gradually attenuates and then disappears, which is a signature of reconnection flushing effect that depletes the ions in the preonset plasma sheet and eventually replaces them by lobe ions.