Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid Coupled Multifracture and Multicontinuum Models for Shale Gas Simulation by Use of Semi-Analytical Approach

Combining the advantages of multicontinuum and multifracture representations provides an easy-to-use tool to adequately capture the characteristic of the multiscaled fracture system in shale gas reservoir. A hybrid model is established on the basis of simplified conceptual productivity assumption, where the matrix volume is divided into two sub-domains (triple-porosity model and dual-depletion flowing model) and the fracture volume is represented by discrete finite conductivity fracture. In addition, the mechanisms of instant desorption, viscous flow and dual-depletion in matrix are taken into account. The rate transient responses are then obtained by use of semi-analytical approach. Based on the model, type curves are plotted and verified by comparing with alternative reliable methods. Different flow regimes in shale gas reservoirs can be identified and detected. The Generalized Likelihood Uncertainty Estimation methodology, based on probabilistic aggregation theory, is employed to integrating those two productivity models together such that the production can be predicted more accurately. A field example is applied to validate the applicability of this new model. Finally, it is concluded that the proposed model can predict the rate and cumulative rate more easily and practically.
Comparing Predictors of Diet Quality in Canada Over Time Under Consideration of Altering Food Guides

Latest data on the diet of Canadians from the Canadian Community Health Survey reveals that the diet quality of Canadians needs improvement. Within this paper predictors of diet quality in Canada are identified based on two cross-sectional data sets from the Canadian Food Expenditure Survey. To measure diet quality, the Canadian Healthy Food Diversity (CanHFD)-Index is developed which is based on Food Guide recommendations. Moreover, this paper considers that the Food Guide between survey years has changed when analyzing diet quality. To track changes in demand for diet quality we use “Canada’s Food Guide 1982” to calculate CanHFD-Index for 1984 and 1996. Changes in demand for diet quality according to “Canada’s Food Guide to Healthy Eating 1992” are observed by calculating CanHFD-Index with data from 1984 and 1996. Theoretically, this model is related to Becker’s household production theory and Lancaster’s characteristics approach. Multiple regression results show significant changes in the Canadian demand for food diversity over time. Some of the differences can be traced back to the different versions of the Canada Food Guide. Increasing age, higher income, being female, and high education level are positive predictors of diet quality in 1984 and 1996 among others.
Energy-efficient quantum frequency estimation

The problem of estimating the frequency of a two-level atom in a noisy environment is studied. Our interest is to minimise both the energetic cost of the protocol and the statistical uncertainty of the estimate. In particular, we prepare a probe in a ‘GHZ-diagonal’ state by means of a sequence of qubit gates applied on an ensemble of n atoms in thermal equilibrium. Noise is introduced via a phenomenological time-non-local quantum master equation, which gives rise to a phase-covariant dissipative dynamics. After an interval of free evolution, the n-atom probe is globally measured at an interrogation time chosen to minimise the error bars of the final estimate. We model explicitly a measurement scheme which becomes optimal in a suitable parameter range, and are thus able to calculate the total energetic expenditure of the protocol. Interestingly, we observe that scaling up our multipartite entangled probes offers no precision enhancement when the total available energy  is limited. This is at stark contrast with standard frequency estimation, where larger probes—more sensitive but also more ‘expensive’ to prepare—are always preferred. Replacing  by the resource that places the most stringent limitation on each specific experimental setup, would thus help to formulate more realistic metrological prescriptions.
Self-management and family support in chronic diseases

Objective : The p ur pose was to evaluate the behavior of self-management in people with: diabetes, hypertension and cancer, and to analyze the relationship between self-management and family support. Methods : This study has cross-sectional and correlational design. A convenience sample was used. The study was conducted at the Sanitary District Number 2 of Tampico, Tamaulipas, Mexico. The sample consisted of 299 patients, the scale of self-management in chronic illness: “Partners in Health Scale”. The Kruskal-Wallis test, the Spearman and Kendall-Tau correlation were used for the analysis. Results and Conclusions : The people of the study showed poor self-management. The statistical significance was found in the adherence dimension, being this difference in the group which was diagnosed with cancer, vs the diabetes and hypertension groups. The results of the family APGAR showed that 25% of the participants had moderate and severe family dysfunction; the results also show that this family support is not the only factor to consider in this behavior, although the statistical results were significant, yet this relationship is medium or low.
A Longitudinal Study of Student Outcomes from Participation in an International Study Tour: Some Preliminary Findings

Students returning from an international business study tour program were interviewed about their experiences and perceptions of the professional and personal impact of the program. When interviews were conducted within 3-4 months of the students’ return, mixed responses were received, with some students highly positive about their experiences, but other students highly distressed about the level of independence required of them. When students were consulted two to six years after the completion of the program, including re-interviewing the initial study participants, students appeared more able to appreciate the benefits of the program. This was evident in their responses that highlighted an improvement in discipline-based knowledge, a better understanding of personal and intercultural issues, and the further development of their generic academic skills. Negative emotions had all but disappeared from students’ responses. While these findings are from small sample sizes and are not conclusive, the results raise important questions about the timing of critical program evaluations.
Canmetformin Buffer the Deleterious Association between Psychological Distress and Glycemia in Patients with Type 2 Diabetes ?

Background: Psychological distress is associated with hyperglycemia in persons with diabetes. Preliminary reports suggest that metformin may help buffer the effects of psychological distress on hyperglycemia. Many Cambodians who are currently over age 35 have elevated symptoms of psychological distress from having survived their country’s genocide. This study investigated the associations among psychological distress, metformin use, and glucose levels in Cambodians with type 2 diabetes. Methods: Patients with type 2 diabetes >1 year, aged 35-80, not using insulin, were recruited from a Cambodian Diabetes Association clinic. Participants provided a fasting finger prick blood sample and completed a psychological assessment. Measures: A MiniMed Ultra-II point of care glucometer was used to determine fasting glucose. Participants completed the valid and reliable Khmer language version of the 25-item Hopkins Symptom Checklist (HSCL) which measures symptoms of depression and anxiety. The HSCL was administered via a computerized spoken format which allowed standardized administration and automated data entry. Data Analysis: Multiple linear regressions were performed using SPSS v21. Results: Participants, n=60, were M=55.7 (SD=9.6) years old, 60% female, 68.3 % were using metformin. Fasting glucose values were above target range, M=143.5 mg/dl (SD=48.1). Mean total scores on the HSCL exceeded the clinical cutoff (1.75) for likely psychiatric disorder, M=1.8 (SD=0.5). In linear regression with main effects in the model there was a significant interaction between psychological distress and metformin use on glucose, (beta=-1.47, t=-2.49, *p<.05). Controlling for age, sex, antidepressant use and other oral hypoglycemic agents did not meaningfully change the findings. Conclusion: Metformin may buffer the deleterious association between psychological distress and glucose. These findings add to a small but provocative literature on the potential metabolic benefits of metforminspecifically for patients with psychological distress.
Autobiographical memory as a reconstructive process: an extension of Ross's hypothesis

Etude dans un environnement maternel (saison de baseball), de l'hypothese de Ross selon laquelle le rappel autobiographique est un processus reconstructif mediatise par les croyances quant a la stabilite de moi et quant a la pertinence de la banque de donnees de base
Reductive arylation of graphene: Insights into a reversible carbon allotrope functionalization reaction

The covalent functionalization of graphene represents a main topic in the growing field of nano materials. The reductive exfoliation of graphite with concomitant functionalization of the respective graphenide intermediates provides a promising approach towards functional graphene derivatives. In this article, we present new insights into the reductive arylation of graphene. Graphite intercalation compounds (GICs) with varying stoichiometries have been used as starting materials. Based on the spectroscopic data obtained by scanning Raman microscopy and thermogravimetric analysis coupled to mass spectrometry (TG/MS), a clear correlation between the amount of negative charges – present in the GIC – and the degree of functionalization in the final product could be found. Furthermore, the detailed analysis of the thermal defunctionalization process provided deeper insights into the covalent addend binding.
MSc System and Network Engineering Research Project 2 Security By Default A Comparative Security Evaluation of Default Configurations

Misconfiguration of network services is a serious problem on the Internet. Defaults of software packages are often meant to get the user up and running as soon as possible, or to demonstrate a working setup out-of-the-box. Security issues that may be deemed misconfigurations, could stem from insecure default settings. Users unfamiliar with the software they wish to run may find the default supplied configuration and available settings intimidating, and only make minor changes to modify the configuration to their desired setup. As such, the majority of the default settings of configurations supplied with software packages are expected to remain in large numbers of active systems. In this research we propose an automated system to automatically test a number of commonly used internet services on a range of platforms. We then use this framework to automatically test the default configurations of a diverse set of network services when installed on a range of platforms. We find that the security posture of the default configurations differs both between different platforms, as well as between different applications providing the same functionality.
An Assessment of Teachers' Abilities to Support Blended Learning Implementation in Tanzanian Secondary Schools.

The purpose of this study was to describe instances of pedagogical practices of teachers using ICTs and the enhancements of practices using traditional methods, to more fundamental changes in their approach to teaching. Using a mixed method, the research examined the impact of increased education level on the ICT use competence perception and the influence of ICT knowledge level and skills on the adoption of blended learning contents. Four schools were used for this study; two picked out of 50 that are enhanced with ICT infrastructures while the other two were picked from schools without enough ICT infrastructures. Three research questions guided the study. Data collection included teachers, schools inspection officers, curriculum development experts, teacher trainees and policy makers’ interviews, questionnaires, classroom observations, and document reviews. Data analysis concentrated on the central questions of the study. The results suggested that teachers’ education level couldn’t determine their ICT knowledge level. Either, the ICT knowledge level has influences on the decision to use blended learning. Barriers to ICT use in education were revealed as: internal -more of personal attitudes and perceptions about a technology, and external -lack of availability and accessibility to the relevant resources (hardware and software), lack of framework that address integration of ICTs in teaching and learning and unreliable Internet connection. Resulting from the results, this study suggests a goal oriented teacher training framework which should address a complex integration of technology, content, pedagogy, school infrastructures, and the overall objectives of the education systems as trivial of ICT use determining factors.
Floquet topological phases in a spin-
1/2
 double kicked rotor

The double kicked rotor model is a physically realizable extension of the paradigmatic kicked rotor model in the study of quantum chaos. Even before the concept of Floquet topological phases became widely known, the discovery of the Hofstadter butterfly spectrum in the double kicked rotor model [J. Wang and J. Gong, Phys. Rev. A 77, 031405 (2008)] already suggested the importance of periodic driving to the generation of unconventional topological matter. In this work, we explore Floquet topological phases of a double kicked rotor with an extra spin-1/2 degree of freedom. The latter has been experimentally engineered in a quantum kicked rotor recently by loading Rb87 condensates into a periodically pulsed optical lattice. Under the on-resonance condition, the spin-1/2 double kicked rotor admits fruitful topological phases due to the interplay between its external and internal degrees of freedom. Each of these topological phases is characterized by a pair of winding numbers, whose combination predicts the number of topologically protected 0 and \pi-quasienergy edge states in the system. Topological phases with arbitrarily large winding numbers can be easily found by tuning the kicking strength. We discuss an experimental proposal to realize this model in kicked Rb87 condensates, and suggest to detect its topological invariants by measuring the mean chiral displacement in momentum space.
Elucidation of Substrate Binding to Photolyase from Sulfolobus solfataricus Using Isothermal Titration Calorimetry

1 Chapter 1 : Introduction to Photolyase and Sulfolobus solfataricus . 8 Introduction . 8 Cyclobutane Pyrimidine Dimers and 6-4 Pyrimidine-Pyrimidone Photoproducts . 8 DNA Photolyase . 10 FAD Cofactor and Oxidation States . 12 Accessory Chromophores . 13 Crystal Structure . 15 Photoreactivation Mechanisms . 18 Binding and Recognition Mechanisms . 20 Archaea and Hyperthermophiles . 24 Sulfolobus solfataricus . 25 Chapter 2: Investigation of Electrostatic Interaction between Sulfolobus solfataricus Photolyase and its Substrate . 27 Introduction . 27 Contact Ion Pair and Solvent-Separated Ion Pairs . 28 Counter-Ion Condensation Concept . 30 5 Electrostatic and Non-Electrostatic Binding Components . 32 Isothermal Titration Calorimetry . 34 Instrumentation Overview . 35 Experimental Introduction . 37 Experimental Procedure . 38 Preparation of SsPL and Substrate . 38 Preparation of FADHActive Site for Binding Studies. 39 Isothermal Titration Calorimetry . 39 Determination of FADHConcentration from SsPL . 40 Results . 41 Discussion . 47 Chapter 3: Sulfolobus solfataricus Photolyase Binding Substrate in Trehalose . 5
M ay 2 01 8 Phase transition and inter-pore correlations of water in nanopore membranes

Using computer simulations, we study a membrane of parallel narrow pores filled with onedimensional wires of hydrogen-bonded water molecules. We show that such a membrane is equivalent to a system of effective charges located at opposite sides of the membrane offering a computationally efficient way to model correlation effects in water-filled nanopore membranes. Based on our simulations we predict that membranes with square pore lattice undergo a continuous order-disorder transition to an anti-ferroelectric low-temperature phase, in which water wires in adjacent pores are oriented in opposite directions. Strong anti-ferroelectric correlations exist also in the disordered phase far above the critical temperature or in membranes with geometric frustration, leading to a dielectric constant that is reduced considerably with respect to the case of uncoupled water wires. These correlations are also expected to hinder proton translocation through the membrane.
Genotyping of Staphylococcus aureus Strains Isolated from Bovine Mastitis in Turkey by using ERIC-PCR Method

Mastitis is an intramammary infection that leads to important economic losses in dairy industry such as increasing the amount of waste milk by affecting the quality and quantity of the milk, removing cows from herd or sending them for slaughter early. Staphylococcus aureus has an important place in the fight against mastitis. In this study, it is aimed to genotyping of the 98 S. aureus isolates that were isolated from bovine mastitis by the polymerase chain reaction of enterobacterial repetitive intergenic consensus (ERIC-PCR). ERIC primers generated DNA products in sizes ranging between ~8000 bp and 250 bp. According to the Nei homology, a dendrograme was obtained by the assessment of 28 bands in total. ERIC-PCR grouped 98 S. aureus isolates into this clusters (I–VI) showing 64 ERIC genotypes. This method, which enables the S. aureus strains to be described and classified successfully, could be used in forming a database by formulation of genotypes, determining the origin of the epidemic, studies of vaccine development and developing effective protection strategies against mastitis since it is easy, fast and reliable. At the same time, this study would contribute to the comprehension of S. aureus epidemiology and ecology in dairy herds.
Short and long-term wind turbine power output prediction

In the wind energy industry, it is of great importance to develop models that accurately forecast the power output of a wind turbine, as such predictions are used for wind farm location assessment or power pricing and bidding, monitoring, and preventive maintenance. As a first step, and following the guidelines of the existing literature, we use the supervisory control and data acquisition (SCADA) data to model the wind turbine power curve (WTPC). We explore various parametric and non-parametric approaches for the modeling of the WTPC, such as parametric logistic functions, and non-parametric piecewise linear, polynomial, or cubic spline interpolation functions. We demonstrate that all aforementioned classes of models are rich enough (with respect to their relative complexity) to accurately model the WTPC, as their mean squared error (MSE) is close to the MSE lower bound calculated from the historical data. We further enhance the accuracy of our proposed model, by incorporating additional environmental factors that affect the power output, such as the ambient temperature, and the wind direction. However, all aforementioned models, when it comes to forecasting, seem to have an intrinsic limitation, due to their inability to capture the inherent auto-correlation of the data. To avoid this conundrum, we show that adding a properly scaled ARMA modeling layer increases short-term prediction performance, while keeping the long-term prediction capability of the model.
How do politicians use Facebook? An applied Social Observatory

In the age of the digital generation, written public data is ubiquitous and acts as an outlet for today's society. Platforms like Facebook, Twitter, Google+ and LinkedIn have profoundly changed how we communicate and interact. They have enabled the establishment of and participation in digital communities as well as the representation, documentation and exploration of social behaviours, and had a disruptive effect on how we use the Internet. Such digital communications present scholars with a novel way to detect, observe, analyse and understand online communities over time. This article presents the formalization of a Social Observatory: a low latency method for the observation and measurement of social indicators within an online community. Our framework facilitates interdisciplinary research methodologies via tools for data acquisition and analysis in inductive and deductive settings. By focusing our Social Observatory on the public Facebook profiles of 187 federal German politicians we illustrate how we can analyse and measure sentiment, public opinion, and information discourse in advance of the federal elections. To this extent, we analysed 54,665 posts and 231,147 comments, creating a composite index of overall public sentiment and the underlying conceptual discussion themes. Our case study demonstrates the observation of communities at various resolutions: “zooming” in on specific subsets or communities as a whole. The results of the case study illustrate the ability to observe published sentiment and public dialogue as well as the difficulties associated with established methods within the field of sentiment analysis within short informal text.
Can ensemble density functional theory yield accurate double excitations?

The recent use of a new ensemble in density functional theory (DFT) to yield direct corrections to the Kohn-Sham transitions yields the elusive double excitations that are missed by time-dependent DFT with the standard adiabatic approximation. But accuracies are lower than for single excitations, and formal arguments suggest that direct corrections at the exchange level should not be sufficient. We show that in principle, EDFT with direct corrections can yield accurate doubles and explain the error in naive formal arguments about TDDFT. Exact calculations and analytic results on a simple model, the Hubbard dimer, illustrate the results, showing that the answer to the title question is typically yes.
Stored Ca 2 Depletion-induced Oligomerization of Stromal Interaction Molecule 1 ( STIM 1 ) via the EF-SAM Region AN INITIATION MECHANISM FOR CAPACITIVE Ca 2 ENTRY *

Stromal interaction molecule 1 (STIM1) has recently been identified as a key player in store-operated Ca2 entry. Endoplasmic reticulum (ER) luminalCa2 depletion results in STIM1 redistribution from ER membrane homogeneity to distinctly localized aggregates near the plasma membrane; these changes precede and are linked to cytoplasmic Ca2 influx via Ca2 release-activated channels (CRACs). The molecular mechanisms initiating ER STIM1 redistribution and plasma membrane CRAC activity are not well understood. We recombinantly expressed the Ca2 -sensing region of STIM1 consisting of the EF-hand together with the sterile -motif (SAM) domain (EF-SAM) to investigate its Ca2 -related conformational and biochemical features. We demonstrate that Ca2 -loaded EFSAM (holo) contains high -helicity, whereas EF-SAM in the absence of Ca2 (apo) is much less compact. Accordingly, the melting temperature (Tm) of the holoform is 25 °C higher than apoform; heat and urea-derived thermodynamic parameters indicate a Ca2 -induced stabilization of 3.2 kcal mol 1. We show that holoEF-SAM exists as a monomer, whereas apoEFSAM readily forms a dimer and/or oligomer, and that oligomer to monomer transitions and vice versa are at least in part mediated by changes in surface hydrophobicity. Additionally, we find that the Ca2 binding affinity of EF-SAM is relatively low with an apparent dissociation constant (Kd) of 0.2–0.6 mM and a binding stoichiometry of 1. Our results suggest that EF-SAM actively participates in and is the likely the molecular trigger initiating STIM1 punctae formation via large conformational changes. The lowCa2 affinity of EF-SAM is reconciledwith the confirmed role of STIM1 as an ER Ca2 sensor.