Miracle-dz/UniFAR-FTUs huggingface dataset:
Phosphate fertilization with organomineral fertilizer on corn crops on a Rhodic Khandiudox with a high phosphorus contente

Abstract: The objective of this work was to evaluate the nutritional content and grain yield of three corn (Zea mays) crops in response to phosphate fertilization with an organomineral fertilizer based on poultry litter or a mineral fertilizer, when cultivated on a Rhodic Khandiudox with a high initial phosphorus content. The experiment was carried out in the field in a randomized complete block design in a 2×4+1 factorial arrangement (organomineral or mineral fertilizer × 20, 40, 60, or 80 kg ha-1 P + control treatment with no phosphate fertilization), with four replicates each. Available P and total organic carbon (TOC) contents in the soil at the end of the crop cycle, plant tissue P contents, and grain yield were determined. The agronomic efficiency index (AEI) was estimated based on corn grain yield. After three harvests, soil available P and TOC contents did not increase significantly due to fertilizer use, but were directly related to P doses. In a Rhodic Khandiudox with a high initial P content, the use of an organomineral fertilizer based on poultry litter promotes higher corn crop yield, with an AEI 20% higher than that of the mineral fertilizer.
Characterization of mass-stationarity by Bernoulli and Cox transports

Consider a random measure ξ on a locally compact Abelian group G acting on some random element X. Mass-stationarity – introduced in [10] – means (informally) that the origin is a typical location for (X, ξ) in the mass of ξ. It is an intrinsic characterization of Palm versions w.r. t. stationary random measures. In this paper we show that mass-stationarity w.r. t. discrete ξ is characterized by distributional invariance under shifts of the origin by certain mass-preserving transports involving a Bernoulli randomization of the group-identity and an allocation rule. We also show that mass-stationarity w.r. t. a general ξ is characterized by mass-stationarity w.r. t. a Cox process driven by ξ.
Swarm algorithms in dynamic optimization problem of reactive power compensation units control

Optimization of a power supply system is one of the main directions in power engineering research. The reactive power compensation reduces active power losses in transmission lines. In general, researches devoted to allocation and control of the compensation units consider this issue as a static optimization problem. However, it is dynamic and stochastic optimization problem that requires a real-time solution. To solve the dynamic optimization NP-hard problem, it is advisable to use Swarm Intelligence. This research deals with the problem of the compensation units power control as a dynamic optimization problem, considering the possible stochastic failures of the compensation units. The Particle Swarm Optimization and the Bees Algorithm were applied to solve it to compare the effectiveness of these algorithms in the dynamic optimization of a power supply system.
VHRM_A_221744 485..502

Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/10it9-JHA1c Introduction: Smoking is a major risk factor for cardiovascular diseases (CVDs) and for many types of cancers. Despite recent policies, 1.1 billion people are active smokers and tobacco is the leading cause of mortality and illness throughout the world. The aim of this work was to identify smoking cessation interventions which could be implemented in primary care and/or at a community level. Methods: A systematic review of CVDs prevention guidelines was realized using the ADAPTE Process. These were identified on G-I-N and TRIP databases. Additionally, a purposive search for national guidelines was successfully undertaken. Guidelines focusing on non-pharmacological lifestyle interventions, published or updated after 2011, were included. Exclusion criteria were specific populations, management of acute disease and exclusive focus on pharmacological or surgical interventions. After appraisal with the AGREE II tool, high-quality guidelines were included for analysis. High-grade recommendations and the supporting bibliographic references were extracted. References had to be checked in detail where sufficient information was not available in the guidelines. Results: Nine hundred and ten guidelines were identified, 47 evaluated with AGREE II and 26 included. Guidelines recommended that patients quit smoking and that health care professionals provided advice to smokers but failed to propose precise implementation strategies for such recommendations. Only two guidelines provided specific recommendations. In the guideline bibliographic references, brief advice (BA) and multiple session strategies were identified as effective interventions. These interventions used Prochaska theory, motivational interviewing or cognitive-behavioral therapies. Self-help documentation alone was less effective than face-to-face counseling. Community-based or workplace public interventions alone did not seem effective. Discussion: Behavioral change strategies were effective in helping patients to give up smoking. BA alone was less effective than multiple session strategies although it required fewer resources. Evidence for community-based interventions effectiveness was weak, mainly due to the lack of robust studies.
Long-term optical monitoring of rj Carinae

Context. The periodicity of 5.5 years for some observational events occurring in q Carinae manifests itself across a large wavelength range and has been associated with its binary nature. These events are supposed to occur when the binary components are close to periastron. To detect the previous periastron passage of q Car in 2003, we started an intensive, ground-based, optical, photometric observing campaign. Aims. We continued observing the object to monitor its photometric behavior and variability across the entire orbital cycle. Methods. Our observation program consisted of daily differential photometry from CCD images, which were acqlin ed using a 0.8 m telescope and a standard BVRI filter set at La Plata Observatory. The photometry includes the central object and the surrounding Homunculus nebula. Results. We present up-to-date results of our observing program, including homogeneous photometric data collected between 2003 and 2008. Our observations demonstrated that q Car has continued increasing in brightness at a constant rate since 1998. In 2006, it reached its brightest magnitude (V ~ 4.7) since about 1860. The object then suddenly reverted its brightening trend, fading to V = 5.0 at the beginning of 2007, and has maintained a quite steady state since then. We continue the photometric monitoring of q Car in anticipation of the next “periastron passage", predicted to occur at the beginning of 2009. Conclusions. Key words, stars: circumstellar matter stars: variables: general stars: individual: q Carinae techniques: photometric
A Human Environmentalist Approach to Diffusion in ICT Policies: A Case Study of the FOSS Policy of the South African Government

Purpose Through an evaluation of the Information Technology adoption and diffusion models and the Free and/or Open Source policy of the South African Government, the underlying assumption is that the developmental divide between those with and those without access to technology is purely technical. This paper illustrates that if Free and/or Open Source Software (FOSS) is to be used as a building block to bridge the ‘digital divide’ a more social and environmental perspective, which embraces the philosophy behind the software, needs to complement the technical perspective. The human environmental model is presented as a useful alternative which, if embraced, can inform more holistic ICT policies. Design/methodology/approach Through a review of diffusion of innovations models an alternative diffusion framework is described and applied to an interpretive open source case study in South Africa. Findings Contemporary diffusion and innovation models are narrowly focused on Information Technology as a purely technological linear phenomenon. This perspective also underlies many ICT policies. A more socio-technical adoption model can assist in providing a more holistic approach to ICT policy development. Originality/value The application of a new innovation model, the human environmental model, to ICT policy provides a holistic framework in which the complexity of the innovation process can be reflected in policy. Such an approach to ICT policy formulation will assist with broadening the perspective of policy makers from IT as a technical solution to IT as part of a sociotechnical solution and recognise the duality of the innovation process.
Relative-humidity-dependent organic aerosol thermodynamics via an efficient reduced-complexity model

Abstract. Water plays an essential role in aerosol chemistry, gas–particle partitioning, and particle viscosity, but it is typically omitted in thermodynamic models describing the mixing within organic aerosol phases and the partitioning of semivolatile organics. In this study, we introduce the Binary Activity Thermodynamics (BAT) model, a water-sensitive reduced-complexity model treating the nonideal mixing of water and organics. The BAT model can process different levels of physicochemical mixture information enabling its application in the thermodynamic aerosol treatment within chemical transport models, the evaluation of humidity effects in environmental chamber studies, and the analysis of field observations. It is capable of using organic structure information including O:C, H:C, molar mass, and vapor pressure, which can be derived from identified compounds or estimated from bulk aerosol properties. A key feature of the BAT model is predicting the extent of liquid–liquid phase separation occurring within aqueous mixtures containing hydrophobic organics. This is crucial to simulating the abrupt change in water uptake behavior of moderately hygroscopic organics at high relative humidity, which is essential for capturing the correct behavior of organic aerosols serving as cloud condensation nuclei. For gas–particle partitioning predictions, we complement a volatility basis set (VBS) approach with the BAT model to account for nonideality and liquid–liquid equilibrium effects. To improve the computational efficiency of this approach, we trained two neural networks; the first for the prediction of aerosol water content at given relative humidity, and the second for the partitioning of semivolatile components. The integrated VBS + BAT model is benchmarked against high-fidelity molecular-level gas–particle equilibrium calculations based on the AIOMFAC (Aerosol Inorganic-Organic Mixtures Functional groups Activity Coefficient) model. Organic aerosol systems derived from α-pinene or isoprene oxidation are used for comparison. Predicted organic mass concentrations agree within less than a 5 % error in the isoprene case, which is a significant improvement over a traditional VBS implementation. In the case of the α-pinene system, the error is less than 2 % up to a relative humidity of 94 %, with larger errors past that point. The goal of the BAT model is to represent the bulk O:C and molar mass dependencies of a wide range of water–organic mixtures to a reasonable degree of accuracy. In this context, we discuss that the reduced-complexity effort may be poor at representing a specific binary water–organic mixture perfectly. However, the averaging effects of our reduced-complexity model become more representative when the mixture diversity increases in terms of organic functionality and number of components.
Evaluation of microorganisms isolated from blood cultures and their susceptibility profiles to antibiotics in five years period

Aim: In starting antibiotic treatment to know the distribution of infectious agents and the antibiotic resistance rates is vital especially in critically ill patients to prevent disease progression. In this study we aimed to determine the distribution and antimicrobial resistance patterns of blood culture isolates obtained in a tertiary center. Methods: The microbiological laboratory records between January 2014 and December 2018 were retrospectively reviewed. Each conventional aerobic blood culture bottle per patient with positive results was recorded with the antimicrobial susceptibility profiles of the bacteria isolated. Descriptive statistics (number, percentage, mean and median) were performed. Comparison of descriptive data between groups was performed with cross tables and chi square test. One-way ANOVA test was used to compare the antibiotic resistance rates between spp. Results: A total of 66004 blood cultures were analyzed in this cross-sectional study. Of the 3882 (21.0%) positive results, 3256 (4.9%) were identified as contamination. The most commonly isolated microorganisms were Coagulase negative staphylococcus, Escherichia coli, Klebsiella spp. , Staphylococcus aureus and Acinetobacter spp. Extended spectrum β-lactamase (ESBL) positivity was determined in 236 (62.4%) isolates of E.coli, and 186 (56.8%) isolates of Klebsiella spp. Vancomycin resistance showed a significant increase in Enterococcus spp. in time. E.coli did not show any resistance to imipenem, meropenem, tigecycline or colistin. Methicillin susceptible Staphylococcus aureus (MSSA) and methicillin resistant Staphylococcus aureus (MRSA) did not show any resistance to vancomycin, teicoplanin, linezolid or daptomycin. In Enterococcus spp. , tigecycline resistance was 1.9%, while daptomycin and linezolid resistance were not determined. The most effective resistance agent to Acinetobacter spp. and Pseudomonas spp. was colistin. Fungal infection was detected in 156 patients. Candida albicans and Candida parapsilosis complex were the most common isolates. Conclusion: Antibiotic resistance rates are increasing in all over the world. Rational antibiotic usage may aid the clinicians to overcome this condition. Epidemiological data is important in this regard.
No-boundary prescriptions in Lorentzian quantum cosmology

We analyse the impact of various boundary conditions on the (minisuperspace) Lorentzian gravitational path integral. In particular we assess the implications for the Hartle-Hawking no-boundary wavefunction. It was shown recently that when this proposal is defined as a sum over compact metrics, problems arise with the stability of fluctuations. These difficulties can be overcome by an especially simple implementation of the no-boundary idea: namely to take the Einstein-Hilbert action at face value while adding no boundary term. This prescription simultaneously imposes an initial Neumann boundary condition for the scale factor of the universe and, for a Bianchi IX spacetime, Dirichlet conditions for the anisotropies. Another way to implement the no-boundary wavefunction is to use Robin boundary conditions. A sub-class of Robin conditions allows one to specify the Hubble rate on the boundary hypersurface, and we highlight the surprising aspect that specifying the final Hubble rate (rather than the final size of the universe) significantly alters the off-shell structure of the path integral. The conclusion of our investigations is that all current working examples of the no-boundary wavefunction force one to abandon the notion of a sum over compact and regular geometries, and point to the importance of an initial Euclidean momentum.
Survey on Monocular Odometry for Conventional Smartphones

—In the last decade huge amount of research work has been put to realize indoor visual localization with personal smartphones. Considering the available sensors and their capabilities monocular odometry may provide a solution, even regarding strict requirements of augmented reality applications. This paper is aimed to give an overview on the state of the art results regarding monocular visual indoor localization. For this purpose it presents the necessary basics of computer vision and reviews the most promising solutions for different topics.
Position Paper: Towards Transparent Machine Learning

Transparent machine learning is introduced as an alternative form of machine learning, where both the model and the learning system are represented in source code form. The goal of this project is to enable direct human understanding of machine learning models, giving us the ability to learn, verify, and refine them as programs. If solved, this technology could represent a best-case scenario for the safety and security of AI systems going forward.
Double Burden of Malnutrition: Why are Indian Women Likely to Be Underweight and Obese?

Abstract India has one of the highest underweight burdens in the world, with signs of rising obesity. Coexistence of underweight and overweight women is symptomatic of the double burden of malnutrition. The present study aims to throw new light on the double burden of malnutrition among Indian women in the age group 22-49 years. The analysis is based on a nationally representative household survey, India Human Development Survey, 2005. The results indicate that the factors underlying this burden include socio-economic status (SES), location, marital status, age, education, physical activity, media exposure, and dietary composition and frequency of eating. We find that there is a socio-economic patterning of underweight and overweight women, with a large concentration of underweight women among those with a low SES and of overweight women among high SES. Given that the health implications of being underweight and overweight are grim, it is imperative that there is a simultaneous increase in the focus on the health needs of overweight and obese people and on the needs of the large number of severely undernourished people in society. For Indian women, the glaring health/nutrition disparities are matched only by the grimness of their existence and survival prospects.
PERFORMANCE ANALYSIS OF QWT FED 8X8 PHASED ARRAY

ABSTRACT In this paper, the discussion concentrates on modelling, simulation and performance analysis of a Microstrip Line Quarter Wave Transformer (QWT) fed 8x8 Circular Patch phased array. The substrate material used for this has thickness of 1.588mm and relative permittivity (εr) is 2.2. The design frequency is 2GHz and VSWR ≤ 2. The proposed 8x8 Circular Patch phased array is modelled and simulated by using ANSOFT HFSS 15.0. The gain of this array is 24.639 dB, return loss of -16.2810dB and bandwidth is 32.7MHz. The phased array is steered for 100, 200, 300, 380 and 450. The proposed phased array is very useful for airborne applications.
RUNNING HEAD: PHYSIOLOGICAL PROFILE OF SURFING

18 Surfing consists of both high and low intensity paddling of varying durations, utilizing both 19 the aerobic and anaerobic systems. Surf specific physiological studies lack adequate group 20 sample sizes and VO2peak values are yet to determine differences between competitive and 21 recreational surfers. The purpose of this study was therefore to provide a comprehensive 22 physiological profile of both recreational and competitive surfers. This multi-site study 23 involved 62 male surfers, recreational (n = 47) and competitive (n = 15). Anthropometric 24 measurements were conducted followed by DEXA, anaerobic testing and finally aerobic 25 testing. VO2peak was significantly greater in competitive compared to recreational surfers (M 26 = 40.71 ± 3.28 vs. 31.25 ± 6.31 ml/kg/min, p < .001). This was also paralleled for anaerobic 27 power (M = 303.93 vs. 264.58 W) for competitive surfers. Arm span and lean total muscle 28 mass was significantly (p ≤ .01) correlated with key performance variables (VO2peak and 29 anaerobic power). No significant (p ≥ .05) correlations were revealed between season rank 30 and each of the variables of interest (V02peak and anaerobic power). Key performance 31 variables (VO2peak and anaerobic power) are significantly higher in competitive surfers 32 indicating this is both an adaptation and requirement in this cohort. This battery of 33 physiological tests could be used as a screening tool to identify an athlete’s weaknesses or 34 strengths. Coaches and clinicians could then select appropriate training regimes to address 35 weaknesses. 36
Study on the Interrelation between the Fast Fashion Industry and Top-speed Supply Chain

This study aims to explore new perspectives and new ideas for the development of fast fashion enterprises under the guidance of relevant theories and systematic approaches of topspeed supply chain, establish scientific paths for enterprise development through an analysis of affecting factors of the development of fast fashion enterprises as well as paths and modes of effect and provide theoretical and practical guidance for correctly guiding enterprises to participate in business activities, optimizing profit models, earnestly improving profitability and capacity and enhancing the dominant position in market competition. With a combination of the concept of top-speed manufacturing from manufacturing as well as supply chain management, top-speed supply chain, a new management model, has come into existence, where the personality and diversity of customers are respected and customer's requirements for speed will be satisfied. In this paper, the author points out the similarities and differences between the top-speed supply chain and traditional supply chain system, studies the top-speed management of supply chain and explores the top-speed structure, strategy, performance evaluation system and diagnosis method of supply chain, which have been of major theoretical and practical significance.
Klauder-Bargmann Integral Representation of Gaussian Symmetries and Generating Functions of Gaussian States

Let $\Gamma(\mathcal{H})$ be the boson Fock space over a finite dimensional Hilbert space $\mathcal{H}$. It is shown that every gaussian symmetry admits a Klauder-Bargmann integral representation in terms of coherent states. Furthermore, gaussian symmetries, gaussian states and second quantization contractions, all of these operators belong to a weakly closed, selfadjoint semigroup $\mathcal{E}_2(\mathcal{H})$ of bounded operators in $\Gamma(\mathcal{H})$. This yields, a new parametrization of gaussian states, which is a very fruitful alternative to the customary parametrization by position-momentum mean vectors and covariance matrices. This leads to a rich harvest of corollaries: (i) every gaussian state $\rho$ admits a factorization $\rho = Z_{1}^{\dagger}Z_{1}$, where $Z_{1}$ is an element of $\mathcal{E}_2(\mathcal{H})$ and has the form $Z_{1} = \sqrt{c}\Gamma(\sqrt{\Lambda})\exp{\sum_{r=1}^{n} \lambda_ra_r+\sum_{r,s=1}^{n} \alpha_{rs}a_{r}a_{s}}$ on the dense linear manifold generated by all exponential vectors, $\Lambda$ being a positive operator in $\mathcal{H}$, $a_{r}, 1\leq r \leq n$ are the annihilation operators corresponding to the $n$ different modes in $\Gamma(\mathcal{H})$, $\lambda_r\in \mathbb{C}$ and $[\alpha_{rs}]$ is a symmetric matrix in $M_n(\mathbb{C})$; (ii) an explicit particle basis expansion of an arbitrary mean zero pure gaussian state vector along with a density matrix formula for a general gaussian state in terms of its $\mathcal{E}_2(\mathcal{H})$-parameters; (iii) an easy test for the entanglement of pure gaussian states and a class of examples of pure $n$-mode gaussian states which are completely entangled; (iv) tomography of an unknown gaussian state in $\Gamma(\mathbb{C}^n)$ by the estimation of its $\mathcal{E}_2(\mathbb{C}^n)$-parameters using $O(n^2)$ measurements with a finite number of outcomes.