Miracle-dz/UniFAR-FTUs huggingface dataset:
COSMOLOGICAL MAGNETOHYDRODYNAMIC SIMULATIONS OF CLUSTER FORMATION WITH ANISOTROPIC THERMAL CONDUCTION

The intracluster medium (ICM) has been suggested to be buoyantly unstable in the presence of magnetic field and anisotropic thermal conduction. We perform first cosmological simulations of galaxy cluster formation that simultaneously include magnetic fields, radiative cooling, and anisotropic thermal conduction. In isolated and idealized cluster models, the magnetothermal instability (MTI) tends to reorient the magnetic fields radially whenever the temperature gradient points in the direction opposite to gravitational acceleration. Using cosmological simulations of cluster formation we detect radial bias in the velocity and magnetic fields. Such radial bias is consistent with either the inhomogeneous radial gas flows due to substructures or residual MTI-driven field rearrangements that are expected even in the presence of turbulence. Although disentangling the two scenarios is challenging, we do not detect excess bias in the runs that include anisotropic thermal conduction. The anisotropy effect is potentially detectable via radio polarization measurements with LOFAR and the Square Kilometer Array and future X-ray spectroscopic studies with the International X-ray Observatory. We demonstrate that radiative cooling boosts the amplification of the magnetic field by about two orders of magnitude beyond what is expected in the non-radiative cases. This effect is caused by the compression of the gas and frozen-in magnetic field as it accumulates in the cluster center. At z = 0 the field is amplified by a factor of about 106 compared to the uniform magnetic field that evolved due to the universal expansion alone. Interestingly, the runs that include both radiative cooling and thermal conduction exhibit stronger magnetic field amplification than purely radiative runs. In these cases, buoyant restoring forces depend on the temperature gradients rather than the steeper entropy gradients. Thus, the ICM is more easily mixed and the winding up of the frozen-in magnetic field is more efficient, resulting in stronger magnetic field amplification. We also demonstrate that thermal conduction partially reduces the gas accretion driven by overcooling despite the fact that the effective conductivity is suppressed below the Spitzer–Braginskii value.
Ultrasound Combined Transcutaneous Electrical Nerve Stimulation versus Phonophoresis of Piroxicam on Symptomatic Knee Osteoarthritis : a Randomized Double-Blind , Controlled Comparative Study

Objective: Aims to compare effects of ultrasound combined transcutaneous electrical nerve stimulation (UltraTENS) and phonophoresis (PhP) in mildto moderate degree of symptomatic knee OA. Study design: A randomized double-blind, controlled comparative study. Setting: Department of Rehabilitation Medicine, Faculty of Medicine, Chulalongkorn University Subjects: Sixty-one patients (55 women and 6 men), ages 51 to 80 years (mean = 63.4±8.1), visual analog scale (VAS) of knee pain intensity ranged from 50-90 mm (mean=66.1) and Kellgren-Lawrence score of grade I-III, were randomly allocated into the Ultra TENs group and the PhP groups (n=31 and 30,
with gradually

Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the solution space in the late stages. This paper presents a new dynamic topology called ”gradually increasing directed neighbourhoods (GIDN)” that provides an effective way to balance between exploration and exploitation in the entire iteration process. In our model, each particle begins with a small number of connections and there are many small isolated swarms that improve the exploration ability. At each iteration, we gradually add a number of new connections between particles which improves the ability of exploitation gradually. Furthermore, these connections among particles are created randomly and have directions. We formalise this topology using random graph representations. Experiments are conducted on 31 benchmark test functions to validate our proposed topology. The results show that the PSO with GIDN performs much better than a number of the state of the art algorithms on almost all of the 31 functions.
Helicobacter nemestrinae ATCC 49396 T is a strain of Helicobacter pylori ( Marshall et al . 1985 )

Helicobacter nemestrinae Bronsdon et al. 1991, a gastric helicobacter species isolated from a pigtailed macaque, is thought to be the species most closely related to the important human pathogen Helicobacter pylori. The only available strain of this taxon is the type strain, ATCC 49396T. We sequenced seven housekeeping genes and two flagellin genes for H. nemestrinae ATCC 49396T. If ATCC 49396T were a separate species, these sequences should have been distinct from those of H. pylori. Instead, all sequences clustered together with sequences obtained previously for 20 or more H. pylori isolates from diverse geographical locations. The 16S rDNA sequence differed from that reported previously for this strain by 38 nucleotides and was most similar to that of H. pylori 85D08 (accession no. U00769), which was isolated from a rhesus macaque. It differed by less than 1% from 16S rDNA sequences of numerous other H. pylori strains, including the type strain, NCTC 11637T ( ̄ATCC 43504T). These data indicate that the strain currently distributed as H. nemestrinae ATCC 49396T is really a strain of H. pylori and that H. nemestrinae Bronsdon et al. 1991 is a junior heterotypic synonym of Helicobacter pylori (Marshall et al. 1985) Goodwin et al. 1989.
Enhanced microwave shielding effectiveness of ultrathin pyrolytic carbon films

Electromagnetic properties of pyrolytic carbon (PyC) films with thickness from 5 to 241 nm are studied experimentally and numerically at 28 GHz. We observe experimentally that PyC films are capable to absorb up to 50% of microwave power in the Ka-band. By using boundary conditions in the rectangular waveguide, we demonstrate theoretically that 50% of microwave power can be absorbed in a conductive film with thickness much smaller than the skin depth. The results of modelling for PyC films on silica substrate are in excellent coincidence with the experimental data.
Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting

Singular spectrum analysis (SSA) or extended empirical orthogonal function methods are powerful, commonly used data‐driven techniques to identify modes of variability in time series and space‐time data sets. Due to the time‐lagged embedding, these methods can provide inaccurate reconstructions of leading modes near the endpoints, which can hinder the use of these methods in real time. A modified version of the traditional SSA algorithm, referred to as SSA with conditional predictions (SSA‐CP), is presented to address these issues. It is tested on low‐dimensional, approximately Gaussian data, high‐dimensional non‐Gaussian data, and partially observed data from a multiscale model. In each case, SSA‐CP provides a more accurate real‐time estimate of the leading modes of variability than the traditional reconstruction. SSA‐CP also provides predictions of the leading modes and is easy to implement. SSA‐CP is optimal in the case of Gaussian data, and the uncertainty in real‐time estimates of leading modes is easily quantified.
Brown Algae as A Golden Mine For Treatment of Liver Fibrosis : A Proposal Based on Experimental Animal Study

Over the years, marine algae species offer a biological diversity in discovery-phase of new strategy for treatment of several diseases. Interest in seaweed has been on the rise, owing to the recognition of important bioactive molecules. The present study was constructed to explore the potential effectiveness of two species of brown marine algae Cystoseira myrica and Padina pavonica in regression of liver fibrosis in the experimental model. Treatment of liver fibrosis bearing rats with either fresh or dry methanolic extract of Cystoseira myrica and Padina pavonica revealed significant suppression of liver fibrosis. This finding was evidenced by the decreased urinary lamnine, and 8-Hydroxydeoxyguanosine (8-OHdG) levels, as well as hepatic malondialdehyde (MDA) content, serum hepatocyte growth factor (HGF), nuclear factor kappa-B (NF κB) and interleukin 8 (IL-8) levels, in concomitant with the increased hepatic paraxonase-1(PON-1) activity. Additionally, Cystoseira myrica and Padina pavonica extracts could downregulate the expression of Bcl2, KI-67 and transforming growth factorβ (TGF-β) in the liver of the treated rats as documented via immunohistochemical examination. These encouraging results provide new concepts for the development of natural therapeutic opportunities from brown marine algae in the management of liver fibrosis through their antioxidant, anti-inflammatory and antiproliferative activity.
Phylogenetic relationships among some cercosporoid anamorphs of Mycosphaerella based on rDNA sequence analysis

Partial rDNA sequences were obtained from 26 isolates representing species of Cercospora, Passalora, Paracercospora, Pseudocercospora, Ramulispora, Pseudocercosporella and Mycocentrospora. The combined internal transcribed spacers (ITS) including the 5.8S rRNA gene and 5′ end of the 25S gene (primer pairs F63/R635) on rDNA were amplified using PCR and sequenced directly. The ITS regions including the 5.8S varied in length from 502 to 595 bp. The F63/R635 region varied from 508 to 519 bp among isolates sequenced. Reconstructed phylogenies inferred from both regions had highly similar topologies for the taxa examined. Phylogenetic analysis of the sequences resulted in four well-supported clades corresponding to Cercospora, Paracercospora/Pseudocercospora, Passalora and Ramulispora, with bootstrap values greater than 92% for each clade. Based on the results of the analysis, a new combination for Pseudocercosporella aestiva is proposed in Ramulispora, and Paracercospora is reduced to synonymy with Pseudocercospora.
Reconstructing Urban Environments based on Human Experience

This paper describes a novel method for reconstructing urban environments based on individual occupant experience. The method relies on a low-cost off-the-shelf 360o camera to capture video and audio data from a natural walk through the city. It then uses a custom workflow based on an open-source Structure from Motion (SfM) library to reconstruct a dense point cloud from images extracted from the 360o video. The point cloud and audio data are then represented within a virtual reality (VR) model, creating a multisensory environment that immerses the viewer into the subjective experience of the occupant. This work questions the role of precision and fidelity in our experience and representation of a “real” physical environment. On the one hand, the resulting VR environment is less complete and has lower fidelity than digital environments created through traditional modeling and rendering workflows. On the other hand, because each point in the point cloud is literally sampled from the actual environment, the resulting model also captures more of the noise and imprecision that characterizes our world. The result is an uncanny immersive experience that is less precise than traditional digital environments, yet represents many more of the unique physical characteristics that define our urban experiences.
A Paradigm Shift: Perioperative Iron and Erythropoietin Therapy for Patient Blood Management

The idea of Patient Blood Management (PBM) has emerged mainly due to problems caused by blood transfusion and perioperative anemia. This concept is based on the 5 elements suggested by Hofmann et al. [1] (2011): gaps between supply and demand for blood, high transfusion costs, risk of contaminated blood products, adverse outcomes of transfusion, and a paucity of evidence to prove transfusions efficacy. Furthermore, there is a serious issue related to perioperative anemia. The significance of managing perioperative anemia is particularly underestimated, and medical professionals use blood transfusions indiscriminately to rapidly return hemoglobin (Hb) levels to normal [2,3]. PBM is a group of multi-disciplinary protocols under the concept of 3 pillars that are applied to a patient’s clinical course (before, during and after the operation): optimizing red blood cells (RBCs) production, reducing bleeding, and harnessing the tolerance of anemia [1,4]. One of the advantages of PBM is cost-effectiveness. The Department of Health in Western Australia started comprehensive PBM; they experienced cost savings of Australian dollar (AUD) Review
A P ] 6 O ct 2 01 8 SUPERLINEAR ELLIPTIC INEQUALITIES ON MANIFOLDS

Let M be a complete non-compact Riemannian manifold and let σ be a Radon measure on M . We study the problem of existence or non-existence of positive solutions to a semilinear elliptic inequaliy −∆u ≥ σu in M, where q > 1. We obtain necessary and sufficent criteria for existence of positive solutions in terms of Green function of ∆. In particular, explicit necessary and sufficient conditions are given when M has nonnegative Ricci curvature everywhere in M , or more generally when Green’s function satisfies the 3G-inequality.
AnDReck : Positioning Estimation using Pedestrian Dead Reckoning on Smartphones

In recent years, there was a wide adoption of Geographic Information System (GIS) devices, many of which include Global Positioning System (GPS) technology. Most of the time, these functions are performed by a smartphone, being carried by its user for extended periods of time. Although the common accuracy values for this technology are acceptable for some applications, such as driving guidance and nearby places identification, when it comes to pedestrian navigation they are somewhat lacking. Smartphones include a varied set of inbuilt sensors, which can be leveraged to perform positioning tasks, using the information provided by them. This work analyses existing publications and systems, across different approaches, and proposes a Pedestrian Dead Reckoning (PDR) based solution architecture. An implementation that uses an adapted peak detection algorithm, a step length estimation algorithm, along with its calibration method, and a digital compass orientation estimation method is then described, along with an Android prototype. Tests for this solution are then performed according to a proposed methodology, and the results are then evaluated against those of both systems that were the basis for implementation and related work, in order to validate its applicability.
one-patellar tendon-bone graft via a single inimally-invasive approach versus a classical pproach in anterior cruciate ligament econstruction : A prospective study

Department of Orthopaedics, Semur-en-Auxois Hospital Center, 3, avenue Pasteur, 21140 Semur-en-Auxois, France Department of Orthopaedics, Academic Center for Orthopaedic Surgery and Sports Trauma, Grenoble Teaching Hospital Center, ôpital Sud, 38130 Échirolles, France Lyon Ortho Clinic, 8, avenue Ben-Gourion, 69009 Lyon, France Department of radiology, Emilie de Vialar Private Hospital, 116, rue A. -Charial, 69003 Lyon, France
Validation of the Injustice Experiences Questionnaire Adapted for Use with Patients with Severe Osteoarthritis of the Knee

Objective: Recent research has linked perceptions of injustice to problematic recovery outcomes for individuals with musculoskeletal injuries. However, the measure currently used to assess perceived injustice is not readily applicable to individuals who have a pain condition, such as osteoarthritis (OA), where pain onset is insidious as opposed to traumatic. The purpose of this study was to validate a modified version of the Injustice Experiences Questionnaire (IEQ-chr) for patients with OA of the knee. Methods: The IEQ-chr was administered along with measures of pain catastrophizing, fear of movement, depressive symptoms, pain severity and physical function to 110 individuals with severe OA of the knee. Results: Principal component analyses yielded a factor structure similar to that in the original validation study. The IEQ-chr had high internal consistency (Chronbach alpha=0.88), and was significantly correlated with pain catastrophizing, fear of movement, depressive symptoms, pain severity and physical function. Regression analyses revealed that the IEQ-chr contributed significant unique variance to prediction of pain severity and physical function, beyond the variance accounted for by measures of pain catastrophizing and fear of movement. Conclusions: The findings of the present study support the construct validity of the IEQ-chr in the context of osteoarthritis, and suggest that this measure may be useful in psychosocial assessment of individuals at risk for adverse pain outcomes. The discussion addresses theoretical and clinical implications of these findings.
Matching as a regression estimator

“Matching” is a statistical technique used to evaluate the effect of a treatment by comparing the treated and non-treated units in an observational study. Matching provides an alternative to older estimation methods, such as ordinary least squares (OLS), which involves strong assumptions that are usually without much justification from economic theory. While the use of simple OLS models may have been appropriate in the early days of computing during the 1970s and 1980s, the remarkable increase in computing power since then has made other methods, in particular matching, very easy to implement.
Confronting Sexism in Science, Technology, Engineering, and Math (STEM): What Are the Consequences?

Disparaging remarks that female scientists are ‘Distractingly Sexy’ (Waxman, 2015) and ‘Too Pretty to Do Math’ t-shirts (Amazon.com) highlight the common belief that women in science, technology, engineering and math (STEM) violate perceived gender norms. However, by confronting these beliefs, women may incur a ‘double-dose’ of hostility; once for being present in science, and again because of the confrontation itself (Kaiser & Miller, 2001). Across three studies, this research tested how women confronting sexism in STEM contexts would elicit and anticipate social costs. Study 1 showed that male participants rated a hypothetical female confronter in STEM higher in bossiness and stupidity than did female participants. Study 2 showed that female STEM majors who imagined themselves confronting (vs. ignoring) sexism in science anticipated being labelled as bossier, and perceived science as more difficult. Thus, across two studies, social and personal costs of confronting sexism were more strongly elicited and anticipated in STEM versus arts. Study 3 assessed how different sexism types and styles of confrontation influenced social and personal costs among women in STEM. As predicted, those who imagined confronting sexism with anger (vs. education, indirect, or a no confrontation control condition) anticipated the greatest social costs, while those who imagined confronting with education anticipated fewer costs than those imagining anger, but greater costs than those imagining an indirect response or inaction. Those imagining an indirect confrontation anticipated greater social costs than those who imagined ignoring sexism, but lower personal costs such as less STEM difficulty and greater STEM efficacy and identity. Findings suggest the complex nature of women’s responses to sexism, extending previous social costs literature into a scientific context.
Computation of eddy currents in a solid rotor induction machine with 2-D and 3-D FEM

Although a two-dimensional numerical analysis of an electrical machine provides an approximately accurate solution of the electromagnetic field in the machine, a threedimensional study is needed to understand the actual phenomena. But due to the large problem size and the complex geometries, the three dimensional model requires a huge amount of degrees of freedoms (DoFs) to be solved, which is not possible with a limited computing resources. Therefore, a coupled 2D-3D model can be the best alternative to solve such type of problems. In this thesis, a 2-D finite element analysis is performed on a solid rotor induction motor by an in-house software FCSMEK. The eddy current in the solid steel rotor was computed. A 3-D model for the same machine was built and solved in COMSOL MultiphysicsTM. To reduce the computation time of the 3-D model, the solution of the 2D model was used as the source to the 3-D model where the stator current density is used as a transferred variable. The eddy currents are computed and the results from both 2-D and 3-D simulations are compared. Other quantities of interest such as the torque of the machine computed with the 2-D and 3-D models are also computed and compared.
Why Do Cross-Border Merger/Acquisition Deals Become Delayed, or Unsuccessful? – A Cross-Case Analysis in the Dynamic Industries

The purpose of this paper is to analyze three litigated cross-border inbound acquisitions that associated with Asian emerging market-India, namely Vodafone-Hutchison and Bharti Airtel-MTN deals in the telecommunications industry, and Vedanta-Cairn India deal with oil and gas exploration industry. To do so, we adopt a legitimate method in qualitative research, that is, case study method and thereby perform a unit of analysis and cross-case analysis. We suggest that government officials’ erratic nature and ruling political party influence were more in foreign inward deals that characterize higher bid value, listed target company, cash payment, and stronger government control in the industry. Importantly, the liability of foreignness and liability of localness was found to be severe in Indian-hosted deals that describe higher valuation, cash payment and dynamic industry. We eventually propose implications of mergers and acquisitions for extractive industries thus to enhance productivity and improve welfare measures during post-integration phase.
High-order evolving surface finite element method for parabolic problems on evolving surfaces

High-order spatial discretisations and full discretisations of parabolic partial differential equations on evolving surfaces are studied. We prove convergence of the high-order evolving surface finite element method, by showing high-order versions of geometric approximation errors and perturbation error estimates and by the careful error analysis of a modified Ritz map. Furthermore, convergence of full discretisations using backward difference formulae and implicit Runge-Kutta methods are also shown.
A Convergence Theory for a Class of Quasi-Newton Methods for Constrained Optimization

In this paper we develop a general convergence theory for a class of quasi-Newton methods for equality constrained optimization. The theory is set in the framework of the diagonalized multiplier method defined by Tapia and is an extension of the theory developed by Glad. We believe that this framework is flexible and amenable to convergence analysis and generalizations. A key ingredient of a method in this class is a multiplier update. Our theory is tested by showing that a straightforward application gives the best known convergence results for several known multiplier updates. Also a characterization of q-superlinear convergence is presented. It is shown that in the special case when the diagonalized multiplier method is equivalent to the successive quadratic programming approach, our general characterization result gives the Boggs–Tolle–Wang characterization.