Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapeutic studies of ruminal acidosis in Goats

Goats that were presented to the Teaching Veterinary Clinical Complex, Campus Veterinary Hospital and Veterinary Ambulatory Clinic, Mylardevpally, College of Veterinary Science, Rajendranagar, Hyderabad with the history of dietary abnormalities were screened and of which, thirty clinical cases of goats suffering with ruminal acidosis were selected. These thirty goats were assessed for clinical, ruminal, urine and haematological parameters. Based on ruminal fluid pH and severity of clinical signs, they were divided into 3 different groups, each consisting of 10 goats. The therapeutic efficacy of the different drugs used against various types of ruminal acidosis in goats was assessed. Group I goats were given sodium bicarbonate @ 1 g/kg body weight, single dose orally daily for 5 days. Group II goats were given ‘Bufzone’ @ 50 g single dose orally daily for 4 days. Whereas, goats of group III were administered ‘Bufzone’ @ 50 g single dose orally daily for 4 days and Sodium bicarbonate @ 1 g/kg body weight orally for 5 days. In addition, goats of all the three groups were administered with Chlorphenarmine maleate @ 0.5 mg/kg body weight im, Tribivet @ 2ml im and Ringer’s lactate @ 25 ml, 50-75 ml, 75100 ml iv in group I, II and III respectively. It was concluded that ruminal acidosis is a common disease of goats and its severity can be effectively reduced by combination of Bufzone and sodium bicarbonate along with supportive therapy.
FEDERAL RESERVE BANK o f ATLANTA WORKING PAPER SERIES Does Geography Matter to Bondholders ?

We find that the location of corporate headquarters significantly affects the firm’s bondholders. Similar to Loughran and Schultz (2006) and others, who show that investors are better able to obtain information on nearby companies, we look at firms located in large metropolitan cities, small cities, and rural areas and find that firms located in remote rural areas exhibit significantly higher costs of debt capital (of up to 65 basis points) in comparison to their urban counterparts. Unlike other studies that focus on the role of information asymmetries in the local bias of investors and decision makers, we are able to show that firms in remote areas experience greater costs of debt capital primarily because of a greater difficulty of monitoring their activities. We find that the adverse impact of bad corporate governance on bondholders is magnified in geographically remote firms, primarily because geographic distance reduces the effectiveness of external monitoring. Consistent with that, we show that in the private placement market, where firms are closely monitored by institutional investors, location plays no role in explaining the cross-sectional variation in the cost of debt capital across companies. We also find that the passage of the 2002 Sarbanes-Oxley Act, which brought about regulatory improvements in monitoring and governance, significantly reduced the agency costs of debt in rural firms. Taken together, our results indicate that the firm’s information environment interacts with the impact of corporate governance, particularly affecting the effectiveness of external monitoring in alleviating agency problems between insiders and debt holders. JEL classification: G10, G14, G34, G38
Forecasting GDP with Global Components. This Time is Different

We examine whether knowledge of in-sample co-movement across countries can be used in a more systematic way to improve forecast accuracy at the national level. In particular, we ask if a model with common international business cycle factors adds marginal predictive power compared to a domestic alternative? To answer this question we use a Dynamic Factor Model (DFM) and run an out-of-sample forecasting experiment. Our results show that exploiting the informational content in a common global business cycle factor improves forecast accuracy in terms of both point and density forecast evaluation across a large panel of countries. We also document that the Great Recession has a huge impact on this result, causing a clear preference shift towards the model including a common global factor. However, this time is different also in other respects. On longer forecasting horizons the performance of the DFM deteriorates substantially in the aftermath of the Great Recession.
Gibbs–non-Gibbs transitions in the fuzzy Potts model with a Kac-type interaction: Closing the Ising gap

We complete the investigation of the Gibbs properties of the fuzzy Potts model on the d-dimensional torus with Kac interaction which was started by Jahnel and one of the authors. As our main result of the present paper, we extend the previous sharpness result of mean-field bounds to cover all possible cases of fuzzy transformations, allowing also for the occurrence of Ising classes. The closing of this previously left open Ising-gap involves an analytical argument showing uniqueness of minimizing profiles for certain non-homogeneous conditional variational problems.
Innovative Financial Approach for Agricultural Sustainability: A Case Study of Alibaba

Sustainability and agricultural finance are two important issues attracting attention from industry and academia. This research adopts an in-depth case study methodology to investigate the agricultural finance initiatives of Alibaba Group, and explores how the agricultural finance practices of an e-commerce platform facilitate its sustainability goal. A reference framework is proposed to prove the adoption of agricultural finance. The influence of three moderating variables, namely, IT support, financial attractiveness, and cooperation with other entities, is analyzed. We find that advanced IT support and financial attractiveness are two indispensable enablers for agricultural finance initiatives, and collaboration with other entities is necessary in adopting agricultural supply chain finance.
Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network

Enhancing the spatial resolution of hyperspectral image (HSI) is of significance for applications. Fusing HSI with a high resolution (HR) multispectral image (MSI) is an important technology for HSI enhancement. Inspired by the success of deep learning in image enhancement, in this paper, we propose a HSI-MSI fusion method by designing a deep convolutional neural network (CNN) with two branches which are devoted to features of HSI and MSI. In order to exploit spectral correlation and fuse the MSI, we extract the features from the spectrum of each pixel in low resolution HSI, and its corresponding spatial neighborhood in MSI, with the two CNN branches. The extracted features are then concatenated and fed to fully connected (FC) layers, where the information of HSI and MSI could be fully fused. The output of the FC layers is the spectrum of the expected HR HSI. In the experiment, we evaluate the proposed method on Airborne Visible Infrared Imaging Spectrometer (AVIRIS), and Environmental Mapping and Analysis Program (EnMAP) data. We also apply it to real Hyperion-Sentinel data fusion. The results on the simulated and the real data demonstrate that the proposed method is competitive with other state-of-the-art fusion methods.
Learning Steady-States of Iterative Algorithms over Graphs

Many graph analytics problems can be solved via iterative algorithms where the solutions are often characterized by a set of steady-state conditions. Differentalgorithmsrespecttodifferentsetofﬁxedpointconstraints,soinsteadofusingthesetradi-tionalalgorithms,canwelearnanalgorithmwhich canobtainthesamesteady-statesolutionsautomat-ically from examples, in an effective and scalable way? How to represent the meta learner for such algorithm and how to carry out the learning? In this paper, weproposeanembeddingrepresentationfor iterativealgorithmsovergraphs, anddesignalearn-ing method which alternates between updating the embeddings and projecting them onto the steady-state constraints. We demonstrate the effectiveness of our framework using a few commonly used graph algorithms, and show that in some cases, the learned algorithm can handle graphs with more than 100,000,000 nodes in a single machine.
Feasibility study of the positronium imaging with the J-PET tomograph

A detection system of the conventional PET tomograph is set-up to record data from annihilation into two photons with energy of 511 keV, and it gives information on the density distribution of a radiopharmaceutical in the body of the object. In this paper we explore the possibility of performing the three gamma photons imaging based on ortho-positronium annihilation, as well as the possibility of positronium mean lifetime imaging with the J-PET tomograph constructed from plastic scintillators. For this purposes simulations of the ortho-positronium formation and its annihilation into three photons were performed taking into account distributions of photons’ momenta as predicted by the theory of quantum electrodynamics and the response of the J-PET tomograph. In order to test the proposed ortho-positronium lifetime image reconstruction method, we concentrate on the decay of the ortho-positronium into three photons and applications of radiopharmaceuticals labeled with isotopes emitting a prompt gamma. The proposed method of imaging is based on the determination of hit-times and hit-positions of registered photons which enables the reconstruction of the time and position of the annihilation point as well as the lifetime of the ortho-positronium on an event-by-event basis. We have simulated the production of the positronium in point-like sources and in a cylindrical phantom composed of a set of different materials in which the ortho-positronium lifetime varied from 2.0 ns to 3.0 ns, as expected for ortho-positronium created in the human body. The presented reconstruction method for total-body J-PET like detector allows to achieve a mean lifetime resolution of ∼40 ps. Recent positron annihilation lifetime spectroscopy measurements of cancerous and healthy uterine tissues show that this sensitivity may allow to study the morphological changes in cell structures.
Results from a Study for Teaching Human Body Systems to Primary School Students Using Tablets

The paper presents the results from a study which examined whether tablets together with a mobile application with augmented reality features can help students to better understand the functions of the respiratory and the circulatory system. The target group was 75 sixth-grade primary school students, divided into three groups. The first group was taught conventionally; students studied using a printed handbook. In the second, a constructivist teaching model was used, but the instruction was not technologically enhanced. The third group of students used tablets and an application, and the teaching was based on a slightly modified version of Bybee's 5Es model. All three groups of students worked in pairs, they were taught the same learning material, and the teacher acted as a facilitator of the process. Data were collected by means of a questionnaire and evaluation sheets. Results indicated that students in the third group outperformed students in the other two groups. The results can be attributed to students' enjoyment, motivation, and positive attitude towards the use of tablets as well as to the teaching method. The study's implications are also discussed.
Spatial Analysis of Chinese Grain Production for Sustainable Land Management in Plain, Hill, and Mountain Counties

In the context of China’s food security, spatially explicit information on grain production is an important asset to achieve the sustainable management of cultivated land. Previous studies have shown that spatial mismatches exist between grain production and water and cultivated land resources. In this paper, county-level data are used to investigate the degree of spatial (mis)match between grain output and the geographical distribution patterns of plain, hill, and mountain counties. We estimate the difference in grain output between these different types of counties with a Spatial Autoregression Model. The results indicate that plain counties have the highest grain output, followed by hill counties and mountain counties subsequently. The reasons for the higher production in plain counties lie in the presence of more cultivated land, as well as a higher degree of irrigation and agricultural mechanization. The current pattern of Chinese total grain production follows the law of substituting labor with mechanization. Improving efficiency in the use of water resources and chemical fertilizer is both urgent and crucial. In this paper, we propose that the future roles for total grain production in relation to landforms should be: increased production and competitiveness in plain counties, a stabilization of capacity in hill counties, and a decrease in grain production in mountain counties.
Learning time-dependent noise to reduce logical errors: real time error rate estimation in quantum error correction

Quantum error correction is important to quantum information processing, which allows us to reliably process information encoded in quantum error correction codes. Efficient quantum error correction benefits from the knowledge of error rates. We propose a protocol for monitoring error rates in real time without interrupting the quantum error correction. Any adaptation of the quantum error correction code or its implementation circuit is not required. The protocol can be directly applied to the most advanced quantum error correction techniques, e.g. surface code. A Gaussian processes algorithm is used to estimate and predict error rates based on error correction data in the past. We find that using these estimated error rates, the probability of error correction failures can be significantly reduced by a factor increasing with the code distance.
Moderated Mediation Analysis Using Bayesian Methods Lijuan (

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Two interacting ultracold molecules in a one-dimensional harmonic trap

We investigate the properties of two interacting ultracold polar molecules described as distinguishable quantum rigid rotors, trapped in a one-dimensional harmonic potential. The molecules interact via a multichannel two-body contact potential, incorporating the short-range anisotropy of intermolecular interactions including dipole-dipole interaction. The impact of external electric and magnetic fields resulting in Stark and Zeeman shifts of molecular rovibrational states is also investigated. Energy spectra and eigenstates are calculated by means of the exact diagonalization. The importance and interplay of the molecular rotational structure, anisotropic interactions, spin-rotation coupling, electric and magnetic fields, and harmonic trapping potential are examined in detail, and compared to the system of two harmonically trapped distinguishable atoms. Presented model and results may provide microscopic parameters for molecular many-body Hamiltonians, and may be useful for the development of bottom-up molecule-by-molecule assembled molecular quantum simulators.
Mechanical models to estimate the paleostress state from igneous intrusions

Abstract. Dikes and sills represent an important component of the deformation history in volcanic systems, but unlike dikes, sills are typically omitted from traditional paleostress analyses in tectonic studies. The emplacement of sheet intrusions is commonly associated with Mode I fracturing in a low deviatoric stress state, in which dilation is perpendicular to the fracture plane. Many natural examples of sills and dikes, however, are observed to accommodate minor shear offsets, in addition to a component of dilation. Here we present mechanical models for sills in the San Rafael subvolcanic field, Utah, which use field-based measurements of intrusion attitude and opening angles to constrain the tectonic stress axes during emplacement and the relative magma pressure for that stress state. The sills display bimodal dips to the NE and SW and consistent vertical opening directions, despite variable sill dips. Based on sill attitude and opening angles, we find that the sills were emplaced during a phase of NE–SW horizontal shortening. Calculated principal stress axes are consistent (within ∼ 4°) with paleostress results for penecontemporaneous thrust faults in the area. The models presented here can be applied to any set of dilational structures, including dikes, sills, or hydrous veins, and represent a robust method for characterising the paleostress state in areas where other brittle deformation structures (e.g. faults) are not present.
Insights in spatiotemporal characterization of human fetal neural stem cells

Primary human fetal cells have been used in clinical trials of cell replacement therapy for the treatment of neurodegenerative disorders such as Huntington's disease (HD). However, human fetal primary cells are scarce and difficult to work with and so a renewable source of cells is sought. Human fetal neural stem cells (hfNSCs) can be generated from human fetal tissue, but little is known about the differences between hfNSCs obtained from different developmental stages and brain areas. In the present work we characterized hfNSCs, grown as neurospheres, obtained from three developmental stages: 4–5, 6–7and 8–9 weeks post conception (wpc) and four brain areas: forebrain, cortex, whole ganglionic eminence (WGE) and cerebellum. We observed that, as fetal brain development proceeds, the number of neural precursors is diminished and post-mitotic cells are in-creased. In turn, primary cells obtained from older embryos are more sensitive to the dissociation process, their viability is diminished and they present lower proliferation ratios compared to younger embryos. However, independently of the developmental stage of derivation proliferation ratios were very low in all cases. Improvements in the expansion rates were achieved by mechanical, instead of enzymatic, dissociation of neurospheres but not by changes in the seeding densities. Regardless of the developmental stage, neurosphere cultures presented large variability in the viability and proliferation rates during the initial 3–4 passages, but stabilized achieving significant expansion rates at passage 5 to 6. This was true also for all brain regions except cerebellar derived cultures that did not expand. Interestingly, the brain region of hfNSC derivation influences the expansion potential, being forebrain, cortex and WGE derived cells the most expandable compared to cerebellar. Short term expansion partially compromised the regional identity of cortical but not WGE cultures. Nevertheless, both expanded cultures were multipotent and kept the ability to differentiate to region specific mature neuronal phenotypes.
Mixing Homomorphisms and Extending Circular Colourings

This work brings together ideas of mixing graph colourings, discrete homotopy, and precolouring extension. A particular focus is circular colourings. We prove that all the (k, q)-colourings of a graph G can be obtained by successively recolouring a single vertex provided k/q ≥ 2col(G) along the lines of Cereceda, van den Heuvel and Johnson’s result for kcolourings. We give various bounds for such mixing results and discuss their sharpness, including cases where the bounds for circular and classical colourings coincide. As a corollary, we obtain an Albertson-type extension theorem for (k, q)-precolourings of circular cliques. Such a result was first conjectured by Albertson and West. General results on homomorphism mixing are presented, including a characterization of graphs G for which the endomorphism monoid can be generated through the mixing process. As in similar work of Brightwell and Winkler, the concept of dismantlability plays a key role.
Culture and the Historical Process

Abstract This article discusses the importance of accounting for cultural values and beliefs when studying the process of historical economic development. A notion of culture as heuristics or rules of thumb that aid in decision making is described. Because cultural traits evolve based upon relative fitness, historical shocks can have persistent effects if they alter the costs and benefits of different traits. A number of empirical studies confirm that culture is an important mechanism that helps explain why historical shocks can have persistent impacts; these are reviewed here. As an example, I discuss the colonial origins hypothesis (Acemoglu, Johnson, and Robinson 2001), and show that our understanding of the transplantation of European legal and political institutions during the colonial period remains incomplete unless the values and beliefs brought by European settlers are taken into account. It is these cultural beliefs that formed the foundation of the initial institutions that in turn were key for long-term economic development.
Towards a phonological model of Uyghur intonation

In this paper we present a preliminary intonational model for Uyghur (Turkic: China). We use acoustic measurements to support the claim that Uyghur is a stress language that only uses edge-marking intonation. Although this is not unattested in the literature, to our knowledge this is the first AM model of such a language.