Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational Modeling of Natural Gas Production From Hydrate Dissociation

This paper provides an overview of computational modeling of hydrate dissociation. A simplified axisymmetric model for natural gas production from the dissociation of methane hydrate in a confined reservoir by a depressurizing well was first described. During the hydrate dissociation, the heat and mass transfer in the reservoir were analyzed, assuming a sharp dissociation front. The system of governing equations was solved by a finite difference scheme, and the distributions of temperature and pressure in the reservoir, as well as the natural gas production from the well were evaluated. The numerical results were compared with those obtained by the linearization method. Hydrate dissociation in a porous sandstone core was then studied using a kinetic model. The ANSYSFLUENT code was used for analyzing hydrate dissociation in an axisymmetric core. When the core was opened exposing the core to low pressure, the hydrate in the core dissociates and the methane gas and liquid water begin to flow in the pores. A Users' Defined function (UDF) for analyzing hydrate dissociation was developed and included in the FLUENT code. The New UDF used the Kim-Bishnoi kinetic model for hydrate dissociation. Variations of relative permeability of the core were included in the model. Sample simulation results were presented and discussed.
THE INFLUENCE OF CaO AND P 2 O 5 OF BONE ASH UPON THE REACTIVITY AND THE BURNABILITY OF CEMENT RAW MIXTURES

The influence of CaO and P2O5 upon the reactivity of cement raw meal was investigated in this paper. Ash of bone meal containing Ca3(PO4)2 3CaO·P2O5 was used as the source of P2O5. Two series of samples with different content of the ash of bone meal were prepared. In the first series, the ash of bone was added into cement raw meal. The second series of samples were prepared by considering ash as one of CaO sources. Therefore, the total content of CaO in cement raw meal was kept constant, while the amount of P2O5 increased. These different series of samples were investigated by analyzing free lime content in the clinkers. The XRD analysis and Electron Micro Probe Analyzer analysis of the clinkers were also carried out. Two parameters were used to characterize the reactivity of cement raw meal: content of free lime and Burnability Index (BI) calculated from free lime content in both series of samples burnt at 1350 oC, 1400 oC, 1450 oC and 1500 oC. According to the first parameter, P2O5 content that drastically makes worse the reactivity of cement raw meal was found at 1.11 wt. % in the first series, while this limit has reached 1.52 wt. % in the second one. According to the BI, the limit of P2O5 was found at 1.42 wt. % in the first series and 1, 61 wt. % in the second one. Furthermore, EPMA has demonstrated the presence of P2O5 in both calcium silicate phases forming thus solid solutions.
Spatial and temporal variability of soil micronutrients and their relationships with wheat (Triticum aestivum L.) yield and some major soil variables

Studying the spatial and temporal variability of soil micronutrients and their effects on plant growth is important for implementing precision-farming and/or economizing fertilizer management. The present investigation was done through soil sampling (0–20 cm depth) from three locations in central Ethiopia. The tools employed include, descriptive and/or classical statistics. The concentrations of available copper ranged from 1.38–3.20 mg/kg with narrower range in season-I, than season-II. Manganese ranged from 5.00 – 65.00 mg/kg, indicating its significant uneven distribution over the years and locations. The concentrations of iron ranged from 1.80 – 8.20 mg/kg. Narrower ranges were observed for zinc, boron and molybdenum. From the influencing factors analysis, soil pH was the major factor negatively influenced the availability of the evaluated micronutrients, except molybdenum. Organic carbon was the major positive contributor to sulfur, nitrogen, manganese, zinc, and boron availability. Considering the widely varied wheat yields due to the variations in soil nutrients, more positive relationship was established for the grain than total biomass yield indicating more partitioning of plant nutrients into grains. Overall, the dynamics of soil nutrients, particularly the micronutrients and their influences on wheat yield were described and the results could provide practical bases for sustaining crop production in precision-agriculture.
THE 1ST EARLY CAREER RESEARCHERS WORKSHOP COLLOCATED WITH ECCS 2021

Smart phones and mobile applications have become an essential part of our daily lives. It is necessary to ensure the quality of these applications. The purpose of my PhD thesis is to study code quality of mobile applications. Two important aspects of code quality are maintainability and security. My goals are to study code smells, security issues and their evolution in iOS applications and frameworks and to apply the gained knowledge to support developer training an teaching. I have built the tool GraphifyEvolution to analyze source code evolution. The tool is built in a modular manner and can be extended to add support for additional languages and external analysis tools. I have analysed code smells in open source iOS applications and compared them to code smells in Android applications. In the remaining two years of my PhD studies I plan to complete the analysis of code smell and security vulnerability evolution in iOS applications and frameworks. In addition, I will apply GraphifyEvolution in developer training at one industry partner and in university teaching.
Immunological and Antioxidant Response of Litopenaeus vannamei fed With Lactobacillus sp ecies under WSSV challenge

Two-phased experiment was conducted to investigate the effects of dietary supplementation of probiotic bacterium on shrimp physiology. In first phase shrimp fed with probiotic supplemented feed for 21 days, in second phase challenged with White spot syndrome virus (WSSV) and their physiological responses were investigated for 2 days post-challenged. The probiotic bacteria Lactobacillus sps was added to the formulated basal diet at 5%, 10% and 15%concentration. Growth, immune response, antioxidant status of shrimp were evaluated. The results showed that dietary supplementation of probiotics in shrimp had significant (P<0.01) impact on growth. The treated shrimp groups showed significant increase in THC, percentage of phagocytosis and phenoloxidase enzyme activity. IgG, IgA, and IgM like substances in the haemolymph of treated shrimp were significantly increased when compared to control. Higher levels of these substances were observed in 10% treated shrimp than other two groups. The antioxidant enzymes like catalse and superoxide dismutase enzymes also significantly increased in probiotic treated shrimp when compared to control. In addition, dietary supplementation of all the three concentrations of Lactobacillus sps probiotic bacterium was effective in improving the resistance of shrimp against WSSV as they had higher THC, higher percentage of phagocytosis, phenoloxidase enzyme and immunoglobin like substances level.
Risk-Averse Decision-Making under Parametric Uncertainty

For sequential decision-making problems with potentially catastrophic consequences appropriate risk assessment may be required. In contrast to traditional techniques for decision-making under uncertainty that aim to maximise performance in expectation, we chose to focus on other properties of the probability distribution. For instance, in an application such as autonomous driving, the chance of causing an accident might be small but yet fatal. A decision-maker focusing on performance in the worst outcomes may be able to obtain a safer decision-making process by keeping this in mind. We propose frameworks for quantifying uncertainty under the reinforcement learning framework and develop algorithms that allow for risk-sensitive decision-making under uncertainty.
Edge-preserving compression of CT scans using wavelets

This work addresses the subject of efficient storage of computed tomography (CT) data with an emphasis on the quality of surfaces. Industrial dimensional metrology often requires high measurement accuracy and we show that this is retained using wavelet-based compression methods. The applied techniques include a tensor product wavelet transform and soft wavelet shrinkage. In our tests on real objects, we compared dimensional CT measurements of compressed and uncompressed volumes. We were able to reduce the necessary storage space significantly with a minimal loss of accuracy. For a multi sphere phantom, we decreased the storage space to 4.7% (from 638 MB to 30 MB) with an average deviation below 1 μm from the original volume.
Evaluated body condition score ( bcs ) in puerperal period

BCS provides an important evaluation of the energy status of cows in puerperal period. This evaluation method provides a subjective indication of the fat cover on cows. To evaluate BCS is used a scoring point system based on the fat deposited in external part of the cow. In this study to evaluate BCS in cows in different farms we used 1 to 9 scoring system. The data shows different BCS classes between cows in different farms. All farms included in study shows that the BCS level is lower than the ideal BCS. This proves that all farms involved in the study have a level of feeding which is not optimal. In the period up to 2 months after calving is observed a gradual reduction of BCS in dairy cows.
Strategic Behavior of Zombie Companies: Differences Between Family and Non-Family Companies Listed in Mexico

Zombie companies are organizations that receive preferential treatment and benefits from various institutions. In addition, they have a negative connotation since they affect the markets where they operate. To understand this type of company in Mexico, the influence of the type of business strategy on the probability of being a zombie company is analyzed. For this, a logit analysis was used to evaluate the probability of incurring in the zombie attribute, and a panel of 99 companies that were listed on the Mexican Stock Exchange during the period from 2013 to 2017 was adopted. The empirical result shows that the type of defensive strategy reduces the probability of incurring in the zombie situation. On the other hand, the type of analytical and proactive strategy shows a greater probability of being classified as zombie companies, which, a priori could surprise, however, the Latin American institutional environment favors that
Human Conditional

The weak completion semantics is a formal cognitive theory. It is multi-valued, non-monotonic, knowledge-rich, allows learning, can handle inconsistent background knowledge, and can be applied to model the average reasoner. In this paper we show that the case, where the antecedent of a conditional sentence is denied, can be fully modeled within the weak completion semantics, and we demonstrate that abduction can be restricted to ﬁnd reasons for observations
Unraveling the Role of Guanylate-Binding Proteins (GBPs) in Breast Cancer: A Comprehensive Literature Review and New Data on Prognosis in Breast Cancer Subtypes

Simple Summary Interferons are important in normal breast development, but also in the development and progression of breast cancers. Recently, three members of the Guanylate-Binding Protein (GBP) family of interferon-induced GTPases, GBP-1, GBP-2, and GBP-5, have been implicated to play roles in breast cancer. Both GBP-1 and GBP-5 are suggested to be potential drug targets in breast cancers, despite that there is no consensus on whether they are associated with better or worse prognoses. In fact, most of the literature related to GBPs in breast cancer suggests their expression correlates with improved prognoses. This manuscript will identify some of the reasons for this lack of consensus. Abstract At least one member of the Guanylate-Binding Protein (GBP) family of large interferon-induced GTPases has been classified as both a marker of good prognosis and as a potential drug target to treat breast cancers. However, the activity of individual GBPs appears to not just be tumor cell type–specific but dependent on the growth factor and/or cytokine environment in which the tumor cells reside. To clarify what we do and do not know about GBPs in breast cancer, the current literature on GBP-1, GBP-2, and GBP-5 in breast cancer has been assembled. In addition, we have analyzed the role of each of these GBPs in predicting recurrence-free survival (RFS), overall survival (OS), and distance metastasis-free survival (DMFS) as single gene products in different subtypes of breast cancers. When a large cohort of breast cancers of all types and stages were examined, GBP-1 correlated with poor RFS. However, it was the only GBP to do so. When smaller cohorts of breast cancer subtypes grouped into ER+, ER+/HER2−, and HER2+ tumors were analyzed, none of the GBPs influenced RFS, OS, or DMSF as single agents. The exception is GBP-5, which correlated with improved RFS in HER2+ breast cancers. All three GBPs individually predicted improved RFS, OS, and DMSF in ER− breast cancers, regardless of the PR or HER2 status, and TNBCs.
Supercoupling between heavy-hole and light-hole states in nanostructures

Spintronics, quantum computing and quantum communication science utilizing cubic semiconductors rely largely on the properties of the hole states, composed of light and heavy hole wavefunction components. The admixture of light-hole (LH) into ground hole state predominately by the heavy hole (HH) would induce unique features of LH in optical transitions, spin relaxation, and spin polarization. We point to an unexpected source of HH-LH mixing in quantum dots, arguing that in contrast with current models the mixing does not reflect the strain between the dot and its matrix and does not scale inversely with the energy splitting between the bulk HH and LH states. Instead, we show via atomistic pseudopotential calculations on a range of strained and unstrained dots of different symmetries that the HH-LH mixing is enabled by the presence in the QD of a dense ladder of intermediate states between the HH and LH states which amplifies and propagates this interaction and leads to "supercoupling" (analogous to super-exchange in magnetism). This explains a number of outstanding puzzles regarding the surprising large coupling seen in unstrained QD (GaAs/AlAs) of ideal shapes and the surprising fact that in strained QD (InAs/GaAs) the coupling is very strong despite the fact that the 12-fold increase in bulk HH-LH splitting overrides the ~4 fold enhancement of the coupling matrix element by strain in comparison with unstrained GaAs QDs.
A Large Ensemble of Initialized Decadal Prediction Simulations Using the Community Earth System Model

The field of near-term climate prediction has grown rapidly since the advent of the f irst studies, about a decade old now, showing that observation-based initialization of coupled general circulation model (CGCM) simulations of the last half-century can significantly enhance predictive capacity on time scales from a year to a decade or more in advance (Keenlyside et al. 2008; Pohlmann et al. 2009; Smith et al. 2007). Phase 5 of the Coupled Model Intercomparison Project (CMIP5) included, for the first time, a framework for testing the benefits of historical initialization, in addition to prescribed external forcings, for decadal climate outlooks that are sensitive to both initial conditions and forced boundary conditions (Meehl et al. 2009). This framework involves running fully coupled hindcast (i.e., retrospective forecast) ensembles initialized using observationally based state information at prescribed intervals over the historical period; these hindcasts are then verified against observations and compared to uninitialized, free-running simulations to determine both overall skill and the benefits of initialization. Analysis of CMIP5 decadal prediction (DP) experiments revealed a wide range in skill for different variables and for different prediction systems. While the potential for useful applications was demonstrated, the CMIP5 experience also highlighted a number of outstanding research questions that must be tackled in order to advance DP science into a more mature phase (Kirtman et al. 2013; Meehl et al. 2014). The prediction of near-term climate change has recently been recognized by the World Climate Research Programme (WCRP) as one of the grand challenges facing the international climate research community,
Random Matrix Analysis of Ca2+ Signals in β-Cell Collectives

Even within small organs like pancreatic islets, different endocrine cell types and subtypes form a heterogeneous collective to sense the chemical composition of the extracellular solution and compute an adequate hormonal output. Erroneous cellular processing and hormonal output due to challenged heterogeneity result in various disorders with diabetes mellitus as a flagship metabolic disease. Here we attempt to address the aforementioned functional heterogeneity with comparing pairwise cell-cell cross-correlations obtained from simultaneous measurements of cytosolic calcium responses in hundreds of islet cells in an optical plane to statistical properties of correlations predicted by the random matrix theory (RMT). We find that the bulk of the empirical eigenvalue spectrum is almost completely described by RMT prediction, however, the deviating eigenvalues that exist below and above RMT spectral edges suggest that there are local and extended modes driving the correlations. We also show that empirical nearest neighbor spacing of eigenvalues follows universal RMT properties regardless of glucose stimulation, but that number variance displays clear separation from RMT prediction and can differentiate between empirical spectra obtained under non-stimulated and stimulated conditions. We suggest that RMT approach provides a sensitive tool to assess the functional cell heterogeneity and its effects on the spatio-temporal dynamics of a collective of beta cells in pancreatic islets in physiological resting and stimulatory conditions, beyond the current limitations of molecular and cellular biology.
Effect of Early Harvest and Variety Difference on Grain Yield and Pasting Properties of Brown Rice

: Green grains that are harvested before maturity and dehulled have been reported to have higher nutritional value than fully matured brown rice. Two years of aerobic ﬁeld experiments were conducted to determine the effect of variety, early harvest and their interaction, on grain yield and pasting properties of brown rice. Eight varieties were grown under well-watered or water deﬁcit conditions and harvested between 15–35 days after ﬂowering (DAF). The maximum yield of green rice was obtained when crops were harvested between 20–25 DAF for well-watered condition and 15–20 DAF for water deﬁcit condition. The paddy yield on these early harvest dates was on average 66% of mature paddy rice yield. Varieties were consistent in paddy yield at early harvest 20–25 DAF with correlation coefﬁcient being 0.897 ** between the two years. Rapid visco-analysis (RVA) showed that developing grains had lower pasting viscosities than mature grains. However, the variety difference had a greater effect on pasting viscosities than the harvest time. Varieties were consistent in pasting characteristics between early and mature harvests, and between growing seasons. Water deﬁcit reduced grain yield but did not signiﬁcantly affect the pasting characteristics of ﬂour gel, amylose and protein content. The RVA showed that ﬁnal viscosity and setback viscosity in brown rice ﬂour harvested at 15 DAF were only 84% and 76% of those in mature brown rice, indicating that developing grains were likely to produce softer cooked rice than mature grain. The results on differences in pasting characteristics between developing and mature grains provide more options in developing food products with desired gel properties.
CORRELATIONS OF INFRARBD AND MOSSBAUER SITE POPULATION MEASUREMENTS OF ACTINOLITESl

Infrared spectra of the fundamental hydroxyl stretching frequencies of eight minerals of the actinolite series have been fitted by computer. Normalized intensities of peaks assigned to various distributions of the Mg2+, Fe2+, and Fe3+ ions in the,41(1) plus M(3) positions coordinated to hydroxyl ions enabled site population estimates to be made. The Mdssbauer spectra of each specimen were resolved by computer into three quadrupole-split ferrous doublets and assigned to Fd+ ions in the M(l), M(2), atd,41(3) positions. Such resolution has not been achieved before so that for the first time it was possible to calculate Fe2+ site occupancies for these three positions. Ferric doublets were also resolved for the first time in actinolite spectra, and values for the ratio psa+fl.otal Fe calculated from the peak intensities were found to agree well with those from chemical analyses. The broad nature of the ferric peaks indicates that Fe3+ ions are distributed over several sites. Although the infrared data for the M (1) plus M(3) positions are in reasonable agreemcnt with those estimated by Wilkins (1970), they difier significantly from the site populations obtained by Md,ssbauer spectroscopy,particularlyiniron-rich actinolites.The discrepancies are attributed to loss of OH groups and sample oxidation of Fe2+ during KBr disc preparation. The relative merits of the M6ssbauer and infrared techniques are assessed, leading to the conclusion that Fd+ site population data derived from Mijssbauer spectroscopy are more accurate. The results support earlier deductions of relative enrichments of Fe2+ ions in actinolites of M(l))M(3)>M(2) and suggest that Mn2+ ions are enriched in M(2) positions.
The Separation of Cell Suspensions Isolated from Coelomic Fluid and Coelomic Epithelium of the Starfish Asterias rubens in Percoll Density Gradients

The regeneration process assumes the presence in the body of cells capable of self-renewal and subsequent differentiation into specialized cells. Whether these cells are stem cells or are present in circulating fluids or tissues as a pool of reserve progenitor cells, or whether they appear following dedifferentiation/transdifferentiation of specialized cells of individual tissues, are the main questions that scientists are focusing on. Understanding the origin and pathways of differentiation in coelomic fluid cells and coelomocytes of the starfish Asterias rubens was the aim of this research. The coelomic epithelium is considered as a possible source of coelomocytes. Further effective studies of coelomocyte replenishment are difficult due to the lack of protein markers characterizing various cell morphotypes. Additional difficulties lie in the heterogeneity of analyzed cell populations. In the present study, we separated cells of the coelomic fluid and the coelomic epithelium, and a subpopulation of the coelomic epithelium enriched with poorly differentiated cells, which are proposed precursors of some types of coelomocytes, in a Percoll density gradient. Characterization of the cell morphology of different fractions and their behavior in vitro (functional characteristics) revealed an enrichment of the gradient fractions in two of eight types of coelomocytes and three of eight morphotypes of cells of the coelomic epithelium.