Miracle-dz/UniFAR-FTUs huggingface dataset:
Biochar reduces enteric methane and improves growth and feed conversion in local "Yellow" cattle fed cassava root chips and fresh cassava foliage

Twelve local “Yellow” cattle with initial live weight ranging from 80 to 100 kg were assigned in a completely randomized block design to a 2*2 factorial arrangement of four treatments with three replications. The factors were: biochar at 0.6% of diet DM or none; and potassium nitrate at 6% of diet DM or urea at 1.83% of diet DM. The basal diet was cassava root chips fed ad libitum and fresh cassava foliage at 1% of LW (DM basis). Sodium sulphate and sodium chloride were added to the diet at the rate of 0.4% and 0.5% in the DM. The trial lasted 98 days following a 21 day adaptation to the diets. Live weight gain was increased 25% by adding biochar to the diet DM and tended to be decreased when nitrate replaced urea as the source of NPN. DM feed conversion was improved by biochar and by urea replacing nitrate. DM feed intake was not affected by supplementation with biochar nor by the NPN source. Both biochar and nitrate reduced methane production by 22 and 29%, respectively, the effects being additive (41% reduction) for the combination of biochar and nitrate.
Figure 1 A Path Diagram of Early Retirees ’ Decision to Become Self-Employed

207 In this article, we combine perspectives from labor economics and entrepreneurship to examine early retirees’ decision to become self-employed. Many individuals leave career employment before the traditional age of 65 and return to the labor market for a period of time before they fully retire. This phenomenon is referred to in the labor economics literature as bridge employment. Initial research of bridge employment has identified entrepreneurial activities to be common. The authors argue that first early retirees have to make the decision whether to permanently retire or to continue their labor force participation. If they decide to return to work, then self-employment is one option. Using the theoretical foundations of entrepreneurship, the authors outline the factors that would influence the self-employment choice and the types of entrepreneurial paths emanating from that choice.
Obsah – Content

The paper aims to highlight the important role of financial literacy as one of the factors that ensures sustainable development in society. First, the paper deals with the definition of financial literacy and the importance of financial literacy for society. It analyses various symptoms associated with the level of financial literacy in the form of household debt and the number of ordered property repossessions. Furthermore, the paper focuses on the measurement of financial literacy and, in this context, presents selected results of the survey of financial literacy from a selected group of respondents (university students) in the Czech Republic that were acquired as part of the "V4 Scientific Centers for the Enhancement of Financial Literacy and Entrepreneurship Education" project focused on research in the field of entrepreneurship education and financial literacy in Visegrad Group countries. Financial literacy is seen as one of the most important characteristics that can determine the behaviour of individuals in the world of finance, their approaches to payment discipline, debt and thinking for the future. In this regard, it is important to put emphasis on financial education as a tool for heightening and developing practical financial literacy.
Behavioral and Brain Functions

Background: The mind reading ability of children has evoked wide interest, but its relationship with general cognitive abilities remains obscure. Methods: We studied the relationship between the mind reading ability and general intelligence. Children (N = 105) between 8 to 11 years from educational institutions were assessed for the mind reading ability using Picture Sequencing Task and Unexpected
Quantifying Large Lattice Relaxations in Photovoltaic Devices

Temporal variations of Cu(In,Ga)Se$_2$ photovoltaic device properties during light exposure at various temperatures and voltage biases for times up to 100 h were analyzed using the kinetic theory of large lattice relaxations. Open-circuit voltage and p-type doping increased with charge injection and decreased with temperature at low injection conditions. Lattice relaxation can account for both trends and activation energies extracted from the data were approximately 0.9 and 1.2 eV for devices with lower and higher sodium content, respectively. In these devices, increased sodium content resulted in higher initial p-type doping with greater stability. First principles calculations providing revised activation energies for the ($V_{Se}-V_{Cu}$) complex suggest that this defect does not account for the metastability observed here.
Gap states and valley-spin filtering in transition metal dichalcogenide monolayers

The magnetically-induced valley-spin filtering in transition metal dichalogenides promises new paradigm in information processing. Herein, the mechanism of this effect is elucidated within the metal-induced gap states concept. The filtering is shown to be primarily governed by the valley-spin polarized tunnelling processes, which yield fundamental scaling trends for valley-spin selectivity with respect to the intrinsic physics of the filter materials. The results are found to facilitate insight into the analyzed effects and provide design guidelines toward efficient valley-spin filter devices.
An Interactive, Graphical CPU Scheduling Simulator for Teaching Operating Systems

We present a graphical simulation tool for visually and interactively exploring the processing of various events handled by an operating system when running a program. Our graphical simulator is available for use on the web and locally by both instructors and students for purposes of pedagogy. Instructors can use it for live demonstrations of course concepts in class, while students can use it outside of class to explore the concepts. The graphical simulation tool is implemented using the React library for the fancy ui elements of the Node.js framework and is available as a single page web application at https://cpudemo.azurewebsites. net. Assigning the development of the underling text-based simulation engine, on which the graphical simulator runs, to students as a course project is also an effective approach to teach students the concepts. The goals of this paper are to showcase the demonstrative capabilities of the tool for instruction, share student experiences in developing the engine underlying the simulation, and to inspire its use by other educators.
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes

In most practical contexts network indexed data consists not only of a description about the presence/absence of links, but also attributes and information about the nodes and/or links. Building on success of Stochastic Block Models (SBM) we propose a simple yet powerful generalization of SBM for networks with node attributes. In a standard SBM the rows of latent community membership matrix are sampled from a multinomial. In RB-SBM, our proposed model, these rows are sampled from a Restricted Boltzmann Machine (RBM) that models a joint distribution over observed attributes and latent community membership. This model has the advantage of being simple while combining connectivity and attribute information, and it has very few tuning parameters. Furthermore, we show that inference can be done efficiently in linear time and it can be naturally extended to accommodate, for instance, overlapping communities. We demonstrate the performance of our model on multiple synthetic and real world networks with node attributes where we obtain state-of-the-art results on the task of community detection.
Quantum holography with biphotons of high Schmidt number

We report results of two-photon quantum holography where spatial information stored in phase holograms is retrieved by measuring quantum spatial correlations between two images formed by spatially entangled twin photons with a dimensionality of 1790 in the two-dimensional transverse space. In our experiments, the entire flux of spontaneous down converted photons illuminates the phase holograms and the photons of pairs signal-idler transmitted by the holograms are detected separately in far field on two electron-multiplying charge coupled device cameras.
ournal of C osmology and A stroparticle hysics J Constraining the local burst rate density of primordial black holes with HAWC

Primordial Black Holes (PBHs) may have been created by density ﬂuctuations in the early Universe and could be as massive as > 10 9 solar masses or as small as the Planck mass. It has been postulated that a black hole has a temperature inversely-proportional to its mass and will thermally emit all species of fundamental particles via Hawking Radiation. PBHs with initial masses of ∼ 5 × 10 14 g (approximately one gigaton) should be expiring today with bursts of high-energy gamma radiation in the GeV-TeV energy range. The High Altitude Water Cherenkov (HAWC) Observatory is sensitive to gamma rays with energies of ∼ 300 GeV to past 100 TeV, which corresponds to the high end of the PBH burst spectrum. With its large instantaneous ﬁeld-of-view of ∼ 2 sr and a duty cycle over 95%, the HAWC Observatory is well suited to perform an all-sky search for PBH bursts. We conducted a search using 959 days of HAWC data and exclude the local PBH burst rate density above 3400 pc − 3 yr − 1 at 99% conﬁdence, the strongest limit on the local PBH burst rate density from any existing electromagnetic measurement.
Estimation of crosstalk in coupled microstrip lines

This paper deals with crosstalk estimation in coupled microstrip lines characterized by a substrate with a given uncertainty in the relative permittivity value. Under the assumption of weakly-couple d electrically short lines, the statistics of the crosstalk ratios are derived in closed form. It is shown that, under specific loading conditions, analytically derived in the paper, a very large dispersion of the farend crosstalk is observed.
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation

We study the problem of visual question answering (VQA) in images by exploiting supervised domain adaptation, where there is a large amount of labeled data in the source domain but only limited labeled data in the target domain, with the goal to train a good target model. A straightforward solution is to fine-tune a pre-trained source model by using those limited labeled target data, but it usually cannot work well due to the considerable difference between the data distributions of the source and target domains. Moreover, the availability of multiple modalities (i.e., images, questions and answers) in VQA poses further challenges in modeling the transferability between various modalities. In this paper, we address the above issues by proposing a novel supervised multi-modal domain adaptation method for VQA to learn joint feature embeddings across different domains and modalities. Specifically, we align the data distributions of the source and target domains by considering those modalities both jointly and separately. Extensive experiments on the benchmark VQA 2.0 and VizWiz datasets demonstrate that our proposed method outperforms the existing state-of-the-art baselines for open-ended VQA in this challenging domain adaptation setting.
Oblique collision and deformation partitioning in the SW Iberian Variscides

Abstract. Different transpressional scenarios have been proposed to relate kinematics and complex deformation patterns. We apply the most suitable of them to the Variscan orogeny in SW Iberia, which is characterized by a number of successive left-lateral transpressional structures developed in the Devonian to Carboniferous period. These structures resulted from the oblique convergence between three continental terranes (Central Iberian Zone, Ossa-Morena Zone and South Portuguese Zone), whose amalgamation gave way to both intense shearing at the suture-like contacts and transpressional deformation of the continental pieces in-between, thus showing strain partitioning in space and time. We have quantified the kinematics of the collisional convergence by using the available data on folding, shearing and faulting patterns, as well as tectonic fabrics and finite strain measurements. Given the uncertainties regarding the data and the boundary conditions modeled, our results must be considered as a semi-quantitative approximation to the issue, though very significant from a regional point of view. The total collisional convergence surpasses 1000 km, most of them corresponding to left-lateral displacement parallel to terrane boundaries. The average vector of convergence is oriented E–W (present-day coordinates), thus reasserting the left-lateral oblique collision in SW Iberia, in contrast with the dextral component that prevailed elsewhere in the Variscan orogen. This particular kinematics of SW Iberia is understood in the context of an Avalonian plate salient currently represented by the South Portuguese Zone.
Research on the Influence Factors of Chinese Industry Income Gap

Now the income gap among different industries begins to gradually expand, and it has attracted a lot of attention. Economy under the new normal more emphasizes on technological innovation. So this paper studied the impact of human capital stock and industry monopoly degree on the industry income gap, at the same time joined the analysis of the important factors of technological innovation level. Focusing on the phenomenon of widening income gap among different industries, this paper explored the technical innovation of the industry change in income mechanism. Changes in industry income is not the role of a single factor results, in addition to human capital stock and industry monopoly degree which have being more concerned about, technological innovation level also has great impact on the changes of income. Thus, this paper quantized the factors which effect the changes of industry income, using the relevant data of China 2004 to 2013, analyzed the relations between human capital stock, monopoly degree, and technological innovation level and income changes, then inspected and verified it using the dynamic panel data model. Empirical studies show that, there is a significant positive correlation between changes in industry income and the three factors. And in all elements, human capital stock plays the most important role, almost all industries’ changes in income are associated with it; Industry monopoly degree also has a significant impact; Meanwhile, the technical bias effect is clearly exists in China, especially in emerging technological industries, its employees have higher income.
Customized video filtering on YouTube

Inappropriate and profane content on social media is exponentially increasing and big corporations are becoming more aware of the type of content on which they are advertising and how it may affect their brand reputation. But with a huge surge in content being posted online it becomes seemingly difficult to filter out related videos on which they can run their ads without compromising brand name. Advertising on youtube videos generates a huge amount of revenue for corporations. It becomes increasingly important for such corporations to advertise on only the videos that don't hurt the feelings, community or harmony of the audience at large. In this paper, we propose a system to identify inappropriate content on YouTube and leverage it to perform a first of its kind, large scale, quantitative characterization that reveals some of the risks of YouTube ads consumption on inappropriate videos. Customization of the architecture have also been included to serve different requirements of corporations. Our analysis reveals that YouTube is still plagued by such disturbing videos and its currently deployed countermeasures are ineffective in terms of detecting them in a timely manner. Our framework tries to fill this gap by providing a handy, add on solution to filter the videos and help corporations and companies to push ads on the platform without worrying about the content on which the ads are displayed.
Antifungal Activity, Phytochemical Characterization and Thermal Profile of Anadenanthera colubrina (Vell.) Brenan

Objective: To investigate the antifungal potential of A. colubrina , and its phytochemical characteristics, thermal profile and toxicity. Material and Methods: To assess potential antifungal activity, the technique of microdilution was used with the determination of the Minimum Inhibitory Concentration and Minimum Fungicidal Concentration, using standard species of Candida and recent clinical isolates of Candida albicans . Analyses of action of the extract were performed on the wall and cell morphology of C. albicans , of the interactive effect between the plant extract and nystatin on C. albicans through the checkerboard method, and of growth kinetics. The phytochemical screening was determined by spectrophotometry. The thermal profile was traced with the determination of thermogravimetric curves (TG) and differential scanning calorimetry (DSC). The toxicity was evaluated by the method of hemolysis. Results: The extract of A. colubrina showed a fungistatic potential against all bacteria tested and it acted by modifying the cellular morphology of C. albicans . There was a synergism between nystatin and the plant extract (FIC=0.375), and 53.18% of total polyphenols were determined. The TG curve showed the occurrence of three steps of thermal decomposition. None of the tested concentrations became the effective cytotoxic concentration. Conclusion: Further studies should be conducted to understand the efficacy and the mechanisms of action involved in the antifungal activity of the plant extract of A. colubrina in order to produce a new drug for the treatment of oral candidiasis.
Differences based on fine motor behaviour in Parkinson's patients compared to an age matched control group in proprioceptive and visuo-proprioceptive test conditions

Personality differences based on fine motor precision performance were studied in early stage Parkinson’s patients and an age-matched control group under two different test conditions: Proprioceptive + visual information and proprioceptive information alone. A comparative data analysis for deviations of three measured movement types (transversal, frontal and sagittal) was done for both hands (dominant and non-dominant) with relation to personality di-mensions. There were found significant differences between the two groups in decision making dimension and emotionality. After splitting the data for gender subgroups, some significant differences were found for men but not for women. The differences in fine motor task performance varied, being better in some directions for the Parkinson’s patients and worse in others. The findings may suggest that medication has both positive and negative effects on motor per-formance and provoke personality changes, being more pronounced in men.
Reionization and Cosmic Dawn: theory and simulations

Abstract We highlight recent progress in the sophistication and diversification of the simulations of cosmic dawn and reionization. The application of these modeling tools to recent observations has allowed us narrow down the timing of reionization. The midpoint of reionization is constrained to z = 7.6−0.7+0.8 (1 σ), with the strongest constraints coming from the optical depth to the CMB measured with the Planck satellite and the first detection of ongoing reionization from the spectra of the z = 7.1 QSOs ULASJ1120+0641. However, we still know virtually nothing about the astrophysical sources during the first billion years. The revolution in our understanding will be led by upcoming interferometric observations of the cosmic 21-cm signal. The properties of the sources and sinks of UV and X-ray photons are encoded in the 3D patterns of the signal. The development of Bayesian parameter recovery techniques, which tap into the wealth of the 21-cm signal, will soon usher in an era of precision astrophysical cosmology.
Lyapunov Function Partial Different Equations for Stability Analysis of a C of Chemical Reaction Networks

We investigate a broad family of chemical reaction networks (CRNs) assigned with mass action kinetics, called complex-balanced-produced-CRNs (CBP-CRNs), which are generated by any given complex balanced mass action system (MAS) and whose structures depend on the selection of producing matrices. Unluckily, the generally applied pseudoHelmholtz free energy function may fail to act as a Lyapunov function for the CBP-CRNs. Inspired by the method of Lyapunov function partial differential equations (PDEs), we construct one solution of their corresponding Lyapunov function PDEs, termed as the generalized pseudoHelmholtz free energy function, and further show that solution can behave as a Lyapunov function to render the asymptotic stability for the CBP-CRNs. This work can be taken as an argument of the conjecture that Lyapunov function PDEs approach can serve for any MAS.
New insights on the neuroendocrine control of puberty and seasonal breeding in female sheep

Abstract Timing of puberty has a great influence on animal productivity. For example, reproduction in sheep can be affected by seasonality, leading to fluctuations in availability of animal products. Therefore, optimization of birth dates would improve reproductive success in sheep. Since the discovery of the major role of kisspeptin and Kiss1R, its cognate receptor, in reproductive function, there are new opportunities for interventions. Repeated or continuous administration of native kisspeptin are able to hasten puberty and induce ovulation during breeding and non-breeding seasons of sheep. However, due to the short half-life of kisspeptin, protocols involving native kisspeptin are usually proof of concept, but not practical under field conditions. Consequently, there are efforts to develop kisspeptin analogues capable of replicating effects of repeated/continuous administration of native kisspeptin. In this review, we intended to provide a comprehensive summary of the neuroendocrine requirements for puberty onset and ovulation in adult ewes, focusing on kisspeptin, its physiological effects and responses to its analogues on reproductive function in ewes.
A Hybrid Knowledge Discovery System Based on Items and Tags

Exponentially increasing knowledge in a management system is the main cause of the overload problem. Development of a recommender service embedded in the management system is challenging. This paper proposes a hybrid approach by combining an item-based recommendation technique (collaborative filtering technique) with a tagbased recommendation technique (content based filtering technique). In order to evaluate the performance of the proposed hybrid approach, a group of knowledge management system users are invited as participants in the research. Participants are asked to use the prototype of a management system embedded within the knowledge recommender service for four months, which guarantees that each interaction by participants with knowledge items are recorded. A confusion matrix is used to compute accuracy of the proposed hybrid approach. The results of the experiments reveal that the hybrid approach outperforms both item-based and tag-based approaches. The hybrid approach seems to be a promising technique for a recommender service in the knowledge management system.