Miracle-dz/UniFAR-FTUs huggingface dataset:
Reservoir Geomechanics Model for EGS

This paper presents a workflow for geomechanics reservoir characterization (also known as a MEM) for geothermal reservoir development. A geomechanics model is very useful for all aspects of reservoir development including drilling and stimulation. The modeling effort begins by synthesizing various types of data from available wells. These include well logs, lithologic data and lab data. The result for each is a so-called 1D MEM and provides useful information in making decisions during drilling. However, isolated well data fail to capture the 3D variability of geomechanical properties that affect EGS reservoir development plans. Therefore, the 1D data are integrated to build a 3D model of the reservoir. The main components of a 3D model are structural features of the reservoir, stratigraphy, 3D simulation grid, wells, 3D interpolated rock data volumes and in-situ stress estimates. Since in an EGS reservoir, permeability is created by fractures, a discrete fracture network (DFN) is generated based off well log data. Any faults present in the area should be included. Faults are interpreted from seismic data or estimated based on their strike and dip at the surface. Since an EGS reservoir is typically much smaller than a conventional oil reservoir, making a 3D model is not as computationally intensive. However, if enough data is available and the reservoir contains a large amount of heterogeneity, a smaller cell size would be better and computing power is a consideration. Wells are defined in the model if they have core or log data or if they have environmental implications. In EGS, wells are very limited so that 3D seismic and geological investigations can be called upon for reservoir data regarding stress and structures. As a simple example of this workflow, the proposed FORGE site at the Idaho National Laboratory will be used to make a 1 km x 1 km 3D geomechanics model.
SAFE: A Practical Guide to Psychological Factors in Selecting Patients for Facial Cosmetic Surgery

Selecting appropriate patients for facial cosmetic surgery can reduce patient management problems as well as increase the number of patients satisfied with their treatment and with the aesthetic result. In addition to medical considerations, the psychological make-up of a particular patient should play an important role in the decision to operate. Research with 55 patients undergoing aesthetic regenerative facial surgery has produced data which indicate particular personality characteristics to consider in the selection process. These four characteristics—self-evaluation of attractiveness, anxiety, fear, and expectation—are represented by the acronym SAFE; they are presented in this article along with the techniques for a surgeon to use when evaluating a patient for each characteristic. This method aids in selecting SAFE patients for surgery.
EXTENDING VEPP-5 CONTROL SYSTEM BY MIDDLEWARE FOR INJECTION / EXTRACTION AUTOMATION

CX and EPICS are used at VEPP-5 Injection complex. Each system is in charge of some part of accelerator devices. Middleware layer was added in order to make data processing and facility-level control actions more straightforward. Middleware is separated from clients layer by means of additional CX-server. Architectural approach is considered on the example of injection/extraction automation.
Corpus-based synthesis of Mandarin speech with F0 contours generated by superposing tone components on rule-generated phrase components

Mandarin speech synthesis was conducted by generating prosodic features by the proposed method and segmental features by HMM-based method. The proposed method generates sentence fundamental frequency (F0) contours by representing them as a superposition of tone components on phrase components. The tone components are realized by concatenating their fragments at tone nuclei predicted by a corpus-based method, while the phrase components are generated by rules under the generation process model (F0 model) framework. The method includes prediction of phoneme/pause durations in a statistical method as the first step. Through a listening test on the quality of synthetic speech, it was shown that a better quality was obtainable by the method as compared to that by the full HMM-based method. It was also shown that a better quality is obtainable as compared to the case of generating F0 contours without super-positional scheme.
Simulation of Unsteady Rotor-Stator Interaction at Off-design Points in a Diffuser Pump Using Advanced Vortex Method

The interaction between impeller blades and diffuser vanes in a diffuser pump has been numerically simulated by using a direct vortex method for off-design operating conditions. Biot-Savart law was used to calculate velocity without the necessity to grid large portions of the flow field and the calculation points are concentrated in the regions where vorticity is present. Lagrangian representation of the evolving vorticity field is employed because it is suited to the moving boundaries. The pressure distribution was estimated directly from the instantaneous velocity and vorticity field with an integral pressure equation. The analysis of the simulation results and the comparison of calculation results with experimental ones show the method used in this paper is a fit tool to simulated the unsteady rotor-stator interaction in turbomachines.
Facets of Structure and Adaptation: A Qualitative Study of Time-limited Psychotherapy with Children Experiencing Difficult Family Situations

We present here a qualitative study of nine time-limited therapies with children. Time-limited psychotherapy with children is a structured therapeutic method, where the objectives and contents are individual for each child. The number of hours for the therapy is contracted together with the child and the parents. The goal of the therapy is formulated as a shared focus based on the needs of the individual child. The focus is expressed metaphorically and is decided upon together with the child and parents before the therapy is commenced. The therapist's task is to connect the material that the child brings in to the sessions to the agreed focus. The study showed that a clear framework gave the children and the families the necessary security during the therapy process. Attunement to the children's experiences within this framework invited the children to communicate their experiences. Parents, teachers and therapists reported in all cases a positive change after the therapies had been concluded.
Modeling Hg Reactive Transport in Soil Systems Using HP1

We developed a reactive transport model for simulating mercury (Hg) fate and transport in the unsaturated zone, in order to gain insight into the environmental fate of Hg originating from contaminated soil. The code was implemented using the module HP1 (Jacques et al., 2006; 2008), which couples HYDRUS-1D (Šimůnek et al., 2008) for water and solute transport with PHREEQC (Parkhurst and Appelo, 1999) for geochemical reactions. The main processes accounted for in the model are Hg aqueous speciation (including complexation with dissolved organic matter (DOM), humic and fulvic acids (HA and FA), and thiol groups), Hg sorption to solid organic matter (SOM, while also distinguishing between humic and fulvic acids and thiol groups), dissolution of solid phase Hg (e.g., cinnabar HgS(s)), dissolution of Hg non-aqueous phase liquid (NAPL), sunlight-driven Hg reduction to Hg, Hg diffusion in the gas phase and volatilization, and DOM sorption to soil minerals. Using a 50-year time series of daily weather data from Dessel (Belgium) and a 1-m deep sandy soil with deep groundwater (free drainage, oxic conditions), we implemented a sensitivity analysis using the elementary effects method (Morris, 1991). The most sensitive parameters determining Hg leaching or retardation were found to be the equilibrium constant for Hg sorption to humic and fulvic acids (i.e., the most abundant sorption sites in SOM), the initial concentration of Hg, and the concentration of DOM in the soil solution.
Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data

Novel physical insights are provided into the performances of strictly linear (SL) and widely linear (WL) estimators of the generality of complex-valued data, both proper (second order circular) and improper (second-order noncircular). This is achieved by first performing a novel complementary mean square error (CMSE) analysis, in order to quantify the degrees of improperness (second order noncircularity) of the SL and WL estimation errors. The exact bounds on the CMSE difference between the SL and WL estimators are investigated to show that only a joint consideration of the standard MSE analysis and the proposed CMSE analysis has enough degrees of freedom for a rigorous account of the performance of WL and SL estimators. This also makes it possible to rigourously quantify the contributions to the WL performance advantage from the individual real and imaginary channels, an important finding not possible to obtain by using the standard MSE analysis only.
Protein Phosphatase 2A Associates with Rb2/p130 and Mediates Retinoic Acid-induced Growth Suppression of Ovarian Carcinoma Cells*

Levels of Rb2/p130 protein are increased 5–10-fold following all-trans-retinoic acid (ATRA) treatment of the retinoid-sensitive ovarian adenocarcinoma cell line CAOV3, but not the retinoid-resistant adenocarcinoma cell line SKOV3. We found that this increase in Rb2/p130 protein levels in ATRA-treated CAOV3 cells was the result of an increased protein stability. Moreover, Rb2/p130 exhibited a decreased ubiquitination following ATRA treatment. Because phosphorylation frequently mediates ubiquitination of proteins, we examined the serine/threonine phosphatase activity in our CAOV3 cells following ATRA treatment. A significant increase in Ser/Thr phosphatase activity was found, which correlated with a rise in the level of protein phosphatase 2A (PP2A) catalytic subunit-α. In addition, co-immunoprecipitation and glutathione S-transferase pull-down studies demonstrated that PP2A and Rb2/p130 associate. We have made use of a battery of Rb2/p130 mutants to determine the sites dephosphorylated in response to ATRA treatment of CAOV3 cells. Obligate CDK4 phosphorylation sites seemed most important to the stability of the protein and are among the candidate sites that are dephosphorylated by PP2A following ATRA treatment. Finally, using both small interfering RNA specific to the catalytic subunit of PP2A and a variant of the SKOV3 cell line that overexpresses PP2A, we have shown that modulation of PP2A protein levels correlates with the ability of ATRA to inhibit growth of ovarian carcinoma cells. Our data suggest that ATRA mediates growth inhibition by stabilizing Rb2/p130 via a mechanism that involves induction of PP2A, an enzyme that can potentially dephosphorylate Rb2/p130, thereby protecting it from degradation by the proteasome.
Pinning and roughening of domain walls in Ising systems due to random impurities.

Des impuretes distribuees aleatoirement qui modifient les couplages d'echange locaux mais ne creent pas de champs aleatoires et ne detruisent pas l'ordre a longue distance, rendent rugueuses les parois de domaines de systemes d'Ising de dimensionnalite 5/3
An inventory model involving back-order price discount when the amount received is uncertain

This paper presents and analyses the continuous review inventory model with order quantity, safety factor, back-order price discount, ordering cost and lead time as decision variables. Our work is based on the paper of Huang (2010). We extend the model to incorporate the situation when the amount received is uncertain. The lead time demand is assumed follows a normal distribution. A solution procedure is developed to find the optimal solution. A numerical example is given to illustrate the model. A sensitivity analysis is also included to describe the effects of changes in the model parameters on the expected annual cost.
NUMERICAL SIMULATION OF PLUME DISPERSION AROUND AN ISOLATED CUBIC BUILDING : COMPARISON BETWEEN RANS AND LES COMPUTATIONS

Prediction of plume dispersion near buildings is ve ry important for the design of exhaust stacks and air intakes to avoid adverse air quality impacts. Several studies have been carried out on CFD prediction based on a RANS model for dis per ion around buildings, but the prediction accuracy is not clear. The authors have examined the performance of various revised kε models for the dispersion field around a building and confirmed that all RANS computations under-predicted the horizontal concent ration diffusion, although some revised k-ε models yielded much more accurate results than the standard kε model [1]. However, few studies have evaluated the basic perfo rmance of LES in modeling the dispersion field for a simple configuration in comp arison with the RANS model. The purposes of this study are to confirm the accur acy of LES in modeling dispersion around a bluff body and to clarify the mechanism of the discrepancy in relation to the RANS computation.
Crystal structure of 1-[ 5-( 3 , 4-difluorophenyl )-2-methylthiophen-3-yl ]-2-( 2-cyano-1 , 5-dimethyl-1 H-pyrrol-4-yl )-3 , 3 , 4 , 4 , 5 , 5-hexafluoro-cyclopent-1-ene , C 23 H 14 F 8 N 2 S

C23H14F8N2S, triclinic, P1 (no. 2), a = 8.701(2) Å, b = 11.881(2) Å, c = 12.342(3) Å, = 64.932(3)°, = 71.913(3)°, = 86.599(3)°, V = 1094.7 Å, Z = 2, Rgt(F) = 0.0425, wRref(F ) = 0.1244, T = 294 K. Source of material To a tetrahydrofuran solution of 1-bromo-3,4-difluorobenzene (1.93 g, 10.0 mmol) was added 3-bromo-2-methyl-5-thienylboronic acid (2.50 g, 11.3 mmol) [13] in the presence of Pd(PPh3)4 (0.3 g) and Na2CO3 (6.4 g, 60 mmol) in 20 ml H2O. After refluxing for 15 h, the product, 3-bromo-2-methyl-5-(3,4difluorophenyl)thiophene (1.94 g, 6.73 mmol), was collected and dried (yield 67.3%). This compound (0.67 g, 2.3 mmol) was reacted with 1-(2-cyano-1,5-dimethyl-4-pyrrol-1-yl)-3,3,4,4,5,5hexafluorocyclopent-1-ene (0.66 g, 2.30 mmol) [14] and with nbutyl lithium 2.5 M in hexane (0.92 ml, 2.30 mmol) at 195K under a nitrogen atmosphere. After an hour, the reaction was quenched by addition of water. The solid product was purified by column chromatography on silica with petroleum ether as the eluent to give the title compound (0.55 g, 1.10 mmol) in 47.8% yield. Elemental Analysis calcd. for C23H14F8N2S: C, 54.98; H, 2.81%; found: C 55.02, H 2.95%. Experimental details All H atoms were placed in calculated positions with C–H = 0.93 Å for aromatic and 0.96 Å for CH3 groups. They were included in the refinement in the riding model approximation with isotropic displacement parameters set equal to 1.2Ueq(C) and 1.5Ueq(C) of the carrier atom for the aromatic and methyl H atoms, respectively. The F atoms attached to the C atoms in cyclopentene ring are disordered over two positions. The occupancy factor of the two positions were refined using an overall isotropic thermal parameter and by restraining the sum of the occupancy to remain equal to 1.0. The ratio between the two occupancies was found to be 0.5/0.5. The C–F distances were restrained using SADI (SHELXL-97 [15]) instructions and similar Uij restraints as well as rigid bond restraints were used in the final refinement cycles.
Chloroplast Translation Initiation Factors Regulate Leaf Variegation and Development1

SVR9 and its homolog SVR9L1 encode functionally redundant chloroplast translation initiation factors essential for chloroplast and leaf development in Arabidopsis. Chloroplast development requires the coordinated expressions of nuclear and chloroplast genomes, and both anterograde and retrograde signals exist and work together to facilitate this coordination. We have utilized the Arabidopsis yellow variegated (var2) mutant as a tool to dissect the genetic regulatory network of chloroplast development. Here, we report the isolation of a new (to our knowledge) var2 genetic suppressor locus, SUPPRESSOR OF VARIEGATION9 (SVR9). SVR9 encodes a chloroplast-localized prokaryotic type translation initiation factor 3 (IF3). svr9-1 mutant can be fully rescued by the Escherichia coli IF3 infC, suggesting that SVR9 functions as a bona fide IF3 in the chloroplast. Genetic and molecular evidence indicate that SVR9 and its close homolog SVR9-LIKE1 (SVR9L1) are functionally interchangeable and their combined activities are essential for chloroplast development and plant survival. Interestingly, we found that SVR9 and SVR9L1 are also involved in normal leaf development. Abnormalities in leaf anatomy, cotyledon venation patterns, and leaf margin development were identified in svr9-1 and mutants that are homozygous for svr9-1 and heterozygous for svr9l1-1 (svr9-1 svr9l1-1/+). Meanwhile, as indicated by the auxin response reporter DR5:GUS, auxin homeostasis was disturbed in svr9-1, svr9-1 svr9l1-1/+, and plants treated with inhibitors of chloroplast translation. Genetic analysis established that SVR9/SVR9L1-mediated leaf margin development is dependent on CUP-SHAPED COTYLEDON2 activities and is independent of their roles in chloroplast development. Together, our findings provide direct evidence that chloroplast IF3s are essential for chloroplast development and can also regulate leaf development.
Using sampled information , is it enough for the SpMV locality optimization ?

One of the main factors that affect the performance of the sparse matrix-vector product (SpMV) is the low data reuse caused by the irregular and indirect memory access patterns. Different strategies to deal with this problem have been proposed such as data reordering techniques. The computational cost of these techniques is typically high since they consider all the nonzeros of the sparse matrix in order to find an appropriate permutation of rows and columns that improves the SpMV performance.
Running head : SLEEP AND AGGRESSIVE PLEASURE 1 Sour Sleep , Sweet Revenge ? Aggressive Pleasure as a Potential Mechanism Underlying Poor Sleep Quality ’ s Link to Aggression in press at Emotion

Sleep quality is a critical component of successful human functioning. Poor sleep quality is associated with aggressive behavior, yet the psychological mechanisms that drive this effect are incompletely understood. We tested the prediction that the association between poor sleep quality and aggression would be explained, in part, by a magnified experience of positive affect during aggression. We conducted two cross-sectional studies (Study 1 N = 388; Study 2: N = 317) and a third preregistered study (N = 379), which tested for mediation across two waves that were separated by 14-42 days. Across all three studies, we replicated the positive association between poor sleep quality and aggression. However, we did not observe compelling or consistent evidence that poor sleep quality is linked to greater positive affect during aggression. Such aggressive pleasure was temporally-stable and predicted subsequent increases in aggressive behavior. These findings support a reinforcement model of aggressive affect, in which the pleasure of aggression promotes greater aggression over time ‒ perhaps explaining why some individuals are more dispositionally-aggressive than others.
Fibronectin fragments promote human retinal endothelial cell adhesion and proliferation and ERK activation through alpha5beta1 integrin and PI 3-kinase.

PURPOSE Extracellular matrix degradation is associated with neovascularization in diabetic retinas. Fibronectin fragments (Fn-fs) are generated during vascular remodeling. The effects of cellular fibronectin (Fn) and selected Fn-fs on adhesion, proliferation, and signal transduction in human retinal endothelial cells (HRECs) were characterized. METHODS Relative quantitative RT-PCR, flow cytometry, and immunocytochemistry determined integrin expression on HRECs. Adhesion was evaluated by coating plastic with Fn or Fn-fs of 45, 70, 110, or 120 kDa, and MTT conversion was used to measure proliferation and survival. Peptide inhibitors and blocking antibodies determined adhesive sites and integrins used for adhesion. Pharmacologic inhibitors and Western analyses were used to evaluate intracellular signaling. RESULTS HRECs produced significant levels of alpha(2), alpha(3), alpha(5), alpha(v), beta(1), beta(3), and beta(5) integrin subunit mRNA. Flow cytometry of surface integrin expression revealed high levels of alpha(3), alpha(5), and beta(1) and lower levels of alpha(1), alpha(v), beta(3), and beta(5). These results were confirmed by immunocytochemistry. For adhesion to Fn and Fn-fs. the alpha(5)beta(1) integrin was essential. Pharmacologic inhibitors of PI 3-kinase blocked adhesion to Fn and Fn-fs, whereas the mitogen-activated protein (MAP) kinase kinase (MEK) inhibitor PD98059 blocked phosphorylation. The 110- and 120-kDa Fn-fs showed a concentration-dependent increase in proliferation, whereas 500 ng of the 70 kDa Fn-f-induced proliferation. Addition of III1-C, a matrix assembly domain, increased the proliferative effect of these Fn-fs. CONCLUSIONS Fn and its Fn-fs modulate HREC adhesion and proliferation through signal-transduction pathways involving coupling of the alpha(5)beta(1) integrin through PI 3-kinase. Mitogenic signals for endothelial cells from degraded extracellular matrix may contribute to the development of diabetic retinopathy.
Synthesis and Characterizations of ZnO Nanorods Arrays and Mesoporous Films for Device Applications

We present a novel aqueous-solution synthesis technique to obtain uniform ZnO nanorod arrays with good crystalline and mesoporous films. This technique was preferred for reasons related to economical and ecological advantages, low-temperature and the flexibility to tailor the nanorod sizes and shapes, density and properties by doping and solution conditions. Most attention is paid to an aqueous-based solution route that involves the formation of a nanorods by hydrolysis, condensation and complexation reactions of metal salts without any templates and seeds. Scanning electron microscope (SEM), transmission electron microscope, Rutherford backscattering (RBS), energy dispersive X-ray analysis (EDX), and X-ray diffraction (XRD) were used for materials characterization. The high sensitivity and stability of sensors made from ZnO nanorods and nano/mesoporous films demonstrate the potential for developing a new class of nanosensors and nanodevices for industrial applications.
Physical Activity Level and Future Risk of Mild Cognitive Impairment or Dementia: A Critically Appraised Topic

Background:The relationships between physical activity, cognition, and development of neurodegenerative diseases represent an area of intense research interest. Meta-analyses and prospective cohort studies show that greater levels of physical activity are associated with lower dementia risk. Most studies, however, depend on self-report data that are subject to recall and other biases. Obtaining objective and quantitative physical activity data could strengthen observational study validity. Objective:To examine the association between objectively measured daytime activity and mild cognitive impairment (MCI) or Alzheimer disease (AD). Methods:The objective was addressed through the development of a structured, critically appraised topic. We incorporated a clinical scenario, background information, a structured question, literature search strategy, critical appraisal, results, evidence summary, commentary, and bottom line conclusions. Participants included consultant and resident neurologists, clinical epidemiologists, a medical librarian, and behavioral neurology and neuropsychiatry content experts. Results:We selected a prospective, single-center cohort study of 716 cognitively normal elderly participants followed for 3.5 years. Greater levels of physical activity, as measured using wrist actigraphy, were associated with a lower risk of incident MCI or AD (hazard ratio, 0.477; 95% confidence interval, 0.273-0.832). Conclusions:Objective measurement confirms that greater levels of physical activity are associated with decreased risk of a future diagnosis of MCI or AD. Further studies are needed to confirm the temporal association of exercise and future cognitive health and understand the relevant underlying biological mechanisms.