Miracle-dz/UniFAR-FTUs huggingface dataset:
The Five Facets of Mindfulness & Texting: A Moderation Analysis

ABSTRACT Introduction As technology use becomes more and more popular, there is growing concern about how digital media use may be impacting relationships in a negative way. For example, when individuals become so engrossed in their phone use that they ignore those around them (known in this study as texting immersion). This can be damaging to relationships overall. However, mindfulness may be one solution to mitigating some of the negative implications of texting immersion. Using the Couple and Family Technology Framework, the aim of this study was to determine if mindfulness modifies the relationship between texting frequency and texting immersion. Additionally, this study looked to determine if particular components of mindfulness modified this relationship differently. Method Participants were either college students or adults recruited through undergraduate courses and Amazon MTurk (N = 915). Participants completed online questionnaires assessing mindfulness, texting frequency, and texting immersion. Results Mindfulness as a whole modified the relationship between texting frequency and texting immersion at both low and moderate levels of mindfulness. Additionally, the nonjudging component of mindfulness moderated the relationship as well (at low and moderate levels also). Conclusions & Clinical Implications Understanding how mindfulness modifies the relationship between texting frequency and texting immersion provides clinicians with information regarding how to mitigate negative outcomes associated with problematic texting behaviors. Clinicians may be able to offset some of the negative implications of texting immersion without necessarily requiring a decrease in the frequency of use. Specifically, clinicians can focus on the nonjudging component of mindfulness to help clients be less immersed in their texting behaviors.
Discharge Coefficients of a Preswirl System in Secondary Air Systems

The discharge behavior of a direct-transfer preswirl system has been investigated experimentally. The influences of the pressure ratio and the swirl ratio as well as the influence of the receiver and stator geometry were investigated. The discharge coefficients of the preswirl nozzles are given in the absolute frame of reference. The definition of the discharge coefficient of the receiver holes is applied to the rotating system in order to consider the work done by the rotor. Numerical calculations carried out for a free expansion through the stationary preswirl nozzles show very good agreement with experimental data.
On preconditioning for linear equations and eigenvalue problems

In this dissertation, we focus on three areas of research related to preconditioning for linear systems and eigenvalue problems. We analyze the behaviour of the conjugate gradient method for linear systems with variable preconditioning. We consider the case where the preconditioner is “widely” variable, i.e., preconditioners used on different iterations are essentially unrelated. We assume that the preconditioner on every step is symmetric and positive definite and that the condition number of the preconditioned system matrix is bounded above by a constant independent of the step number. Our main result is of a negative nature: we show that the conjugate gradient method with variable preconditioning may not yield any improvement relative to the preconditioned steepest descent method. We describe a Matlab implementation of the element-based algebraic multigrid (AMG) methods that target linear systems of equations coming from finite element discretizations of elliptic partial differential equations. The individual element information (element matrices and element topology) is the main input to construct the AMG hierarchy. We analyze a number of variants of the spectral (based on solving a large number of local eigenvalue problems) agglomerate element based AMG method. The core of the algorithms relies on element agglomeration utilizing the element topology built recursively from fine to coarse levels. We investigate strategies for adaptive AMG as well as multigrid cycles that are more expensive than the V–cycle utilizing simple interpolation matrices and nested conjugate gradient based recursive calls between the levels. We perform an extensive set of numerical experiments. We describe our software package Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX), which includes the Locally Optimal Block Preconditioned Conjugate Gradient method for symmetric eigenvalue problems. We demonstrate numerical scalability of BLOPEX by testing it on a number of distributed and shared memory parallel systems, including a Beowulf system, SUN Fire 880, an AMD dual-core Opteron workstation, and IBM BlueGene/L supercomputer, using PETSc (“Portable, Extensible Toolkit for Scientific Computation” by Argonne National Laboratory) domain decomposition and hypre (“High Performance Preconditioners” by Lawrence Livermore National Laboratory) multigrid preconditioning. This abstract accurately represents the content of the candidate’s thesis. I recommend its publication. Signed Andrew Knyazev
Applications of Algebraic Automata Theory to Quantum Finite Automata

The computational model of Quantum Finite Automata has been introduced by multiple authors (e.g. [38, 44]) with some variations in definition. The objective of this thesis is to understand what class of languages can be recognized by these different variations, and how many states are required. We begin by showing that we can use algebraic automata theory to characterize the language recognition power of QFAs. Algebraic automata theory associates to each language a canonical syntactic monoid, and the algebraic structure of this monoid becomes a meaningful parameter in describing language classes. We show that the class of languages recognized by Latvian QFAs [3] corresponds exactly to boolean combinations of languages recognized by Brodsky and Pippenger’s QFA model [20], which correspond exactly to those languages whose syntactic monoid is in the class BG. Known results give us a decision procedure for testing membership in this language class. We also use algebraic automata theory to give nearly tight upper and lower bounds on the class of languages recognized by Brodsky and Pippenger’s QFAs. We then extend a number of lower bound techniques known for Kondacs and Watrous’ 1-way QFA model to Nayak’s Generalized QFA. Both of these models are related in that they are permitted to halt before reading the entire input, allowing them to recognize certain languages whose syntactic monoid lies outside of BG. Finally, we investigate the question of QFA succinctness. It is known that QFAs
Subpicosecond conduction through thin SiO2 layers triggered by heavy ions

Heavy ions impinging on thin silicon dioxide layers generate a dense plasma of electrons and holes. Under particular conditions, such as in thin oxide layer surrounding isolated conductive lines, this plasma can act as a conductive medium, able to carry current for very short times (10−14s). We studied this phenomenon by using large data set obtained on state-of-the art floating gate memory arrays. Floating gates hit by ions experience a charge loss linearly dependent on ion linear energy transfer and on the electric field across the tunnel oxide. Despite its absolute low value, reaching at most thousands of electrons, charge lost from floating gate exceeds by orders of magnitude that expected from relatively simple models, such as generation and recombination. The model we are proposing is fully consistent with a broad range of theoretical and experimental results, and has excellent fitting capabilities.
GCDroid: Android Malware Detection Based on Graph Compression With Reachability Relationship Extraction for IoT Devices

With the widespread popularity of Internet of Things (IoT) devices based on the Android system, the amount of Android malware targeting IoT devices continues to increase, causing great economic losses. Accordingly, efficient and accurate Android malware detection methods are particularly important. Recently, many Android malware detection and classification methods have been proposed, but most of them ignore the deep relationships among software. In this article, we propose a graph compression algorithm with reachability relationship extraction (GCRR) and design an Android malware detection and classification method called GCDroid based on this algorithm. A theoretical analysis shows that GCRR can reasonably extract the reachability relationships among APKs and compress a large heterogeneous APK–API relationship graph into a homogeneous APKs graph. Experiments show that GCDroid based on GCRR greatly reduces the required time consumption while improving detection accuracy. Compared with the existing excellent static Android malware detection methods, GCDroid improves upon their detection accuracies by 1.53%–39.13% on different data sets and outperforms the benchmark methods in terms of Android malware classification. Furthermore, compared with those of the baseline methods that are similar to GCDroid, GCDroid’s time consumption for model training and other aspects is only one-tenth as high or even less.
Generalized Drug Eruption Secondary to Ticagrelor: A Case Report and Review of the Literature

Currently, guidelines recommend ticagrelor over clopidogrel as part of dual antiplatelet therapy with aspirin in treating individuals with acute coronary syndrome. As there is an increased usage of ticagrelor, it is important to keep in mind uncommon adverse events, including hypersensitivity skin reactions. To date, only a few studies have been published regarding ticagrelor-induced skin eruptions. Additionally, there is no consensus on antiplatelet therapy management after a hypersensitivity reaction to antiplatelet agents. Hereinafter, we describe a case of an 81-year-old female who presents with a diffuse erythematous hypersensitivity eruption, including palms and soles, secondary to ticagrelor use. Ticagrelor transitioned to clopidogrel, and the patient was started on steroid taper with an antihistamine. The patient’s rash progressively improved after the treatment. Our case demonstrates a rare adverse effect of ticagrelor, which needs prompt diagnosis and switching to one of the thienopyridines to prevent thrombosis.
‘QUANTUM-BASED REALIZATIONS OF THE PASCAL’: STATUS AND PROGRESS OF THE EMPIR-PROJECT: QUANTUMPASCAL

The QuantumPascal (QP) project combines the capabilities of 12 European institutions to enable traceable pressure measurements utilizing quantumbased methods that evaluate the number density instead of force per area to target the wide pressure range between 1 Pa and 3 MPa. This article summarizes the goals and results since the project start in June 2019.
An experimental investigation of low Reynolds number secondary streaming effects associated with an oscillating viscous flow in a curved pipe

This paper deals with nonlinear streaming effects in an oscillating fluid in a curved pipe. The secondary steady velocity field in the cross-sectional plane of the pipe is studied in detail. Our experimental results are compared with the theory of Lyne (1970; that part of his theory which is valid for Reynolds numbers Rs [Lt ] 1) and the theory of Zalosh & Nelson (1973). On the basis of these comparisons we conclude that the theories are in practice valid for higher Reynolds numbers Rs than was formally expected.
Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve

Arterial hypertension (AH) is a progressive issue that grows in importance with the increased average age of the world population. The potential role of artificial intelligence (AI) in its prevention and treatment is firmly recognized. Indeed, AI application allows personalized medicine and tailored treatment for each patient. Specifically, this article reviews the benefits of AI in AH management, pointing out diagnostic and therapeutic improvements without ignoring the limitations of this innovative scientific approach. Consequently, we conducted a detailed search on AI applications in AH: the articles (quantitative and qualitative) reviewed in this paper were obtained by searching journal databases such as PubMed and subject-specific professional websites, including Google Scholar. The search terms included artificial intelligence, artificial neural network, deep learning, machine learning, big data, arterial hypertension, blood pressure, blood pressure measurement, cardiovascular disease, and personalized medicine. Specifically, AI-based systems could help continuously monitor BP using wearable technologies; in particular, BP can be estimated from a photoplethysmograph (PPG) signal obtained from a smartphone or a smartwatch using DL. Furthermore, thanks to ML algorithms, it is possible to identify new hypertension genes for the early diagnosis of AH and the prevention of complications. Moreover, integrating AI with omics-based technologies will lead to the definition of the trajectory of the hypertensive patient and the use of the most appropriate drug. However, AI is not free from technical issues and biases, such as over/underfitting, the “black-box” nature of many ML algorithms, and patient data privacy. In conclusion, AI-based systems will change clinical practice for AH by identifying patient trajectories for new, personalized care plans and predicting patients’ risks and necessary therapy adjustments due to changes in disease progression and/or therapy response.
Potential drivers and consequences of regional phosphate depletion in the western subtropical North Pacific

In regions of the nitrogen limited low latitude ocean, phosphate can also be depleted to levels initiating stress responses in marine microbes. Here, we associate a broad region of phosphate depletion in the subtropical North Pacific with different levels of phosphorus stress. Nutrient and aerosol addition experiments demonstrated primary nitrogen limitation of the bulk phytoplankton community, with supply of aerosols relieving this limitation. At northern sites with depleted phosphate, alkaline phosphatase activities were enhanced, indicating elevated phosphorus stress. Analysis of satellite‐ and model‐derived aerosol loading showed that aerosol deposition was elevated in these regions. Surface rate measurements suggested that the regional enhancement in phosphate depletion was predominantly driven by elevated nitrogen fixation, likely stimulated by the coincident supply of aerosol iron. Such observations are important for predicting future biogeochemical responses in the subtropical North Pacific to changing aerosol supply.
Robust exponential attractors for Cahn‐Hilliard type equations with singular potentials

Our aim in this article is to study the long time behaviour of a family of singularly perturbed Cahn‐Hilliard equations with singular (and, in particular, logarithmic) potentials. In particular, we are able to construct a continuous family of exponential attractors (as the perturbation parameter goes to 0). Furthermore, using these exponential attractors, we are able to prove the existence of the finite dimensional global attractor which attracts the bounded sets of initial data for all the possible values of the spatial average of the order parameter, hence improving previous results which required strong restrictions on the size of the spatial domain and to work on spaces on which the average of the order parameter is prescribed. Finally, we are able, in one and two space dimensions, to separate the solutions from the singular values of the potential, which allows us to reduce the problem to one with a regular potential. Unfortunately, for the unperturbed problem in three space dimensions, we need additional assumptions on the potential, which prevents us from proving such a result for logarithmic potentials. Copyright © 2004 John Wiley & Sons, Ltd.
Assessment on Practicing Correct Body Posture and Determinant Analyses in a Large Population of a Metropolitan Area

An incorrect posture can generate stress of the spine and can be the cause of musculoskeletal disorders. Considering the extensive use of the computer, which worsens posture disorders, among workers, is important to analyze the phenomenon in order to reduce his impact on industry. The aim of this study is to assess determinants regarding posture in a large population of a metropolitan area. A total of 1177 questionnaires was analyzed. The majority of sample showed good knowledge and attitude regarding correct posture; most of the sample, 70.4% was aware of the definition of posture and 68.7% feel that not enough attention is paid at posture at workplace. Despite the good predisposition, only 2.8% of the sample consult a specialist for posture. The multiple linear regression analysis shows that those who have higher knowledge and best attitudes will consequently have good behaviors in maintaining a correct posture. Furthermore, age and education resulted main drivers of correct posture in any model considered. The results enlighten the necessity of conducting further studies to analyze attitudes of the general population and suggest improving educational and training programs to the enrichment of knowledge and to correct posture behaviors.
Hybrid simulations of the effects of interstellar pickup hydrogen on the solar wind termination shock

Hybrid (kinetic ions/fluid electrons) plasma simulations are used to study the effects of a population of energetic interstellar pickup hydrogen ions on the solar wind termination shock. The pickup hydrogen is treated as a second ion species in the simulations, and thus the effects of the pick-ups on the shock, as well as the effects of the shock on the pickups, are treated in a fully self-consistent manner. For quasi-perpendicular shocks with 10-20% pickup hydrogen the pickup ions manifest themselves in a small foot ahead of the shock ramp caused by pickup ion reflection. For oblique shocks with smaller angles between the field and the shock normal (θBn ≈ 40°-60°) a large fraction of the pickup ions are reflected and move back upstream where they excite large amplitude magnetosonic waves which steepen into shocklets. These backstreaming pickup ions may provide advance warning of a spacecraft encounter with the termination shock.
Early number and arithmetic performance of Ecuadorian 4-5-year-olds

This study aimed at (a) constructing a reliable and valid test to assess Ecuadorian 4–5-year olds’ number and arithmetic skills; (b) providing empirical data on Ecuadorian 4–5-year olds’ number and arithmetic skills; and (c) confronting these children’s actual performances with the performances expected by national experts in this domain. We administered the Test of Early Number and Arithmetic (TENA), developed on the basis of the Ecuadorian mathematics standards to 86 Preschoolers and 127 Kindergartners and asked 10 experts to evaluate TENA’s validity and predict children’s performances on it. Results supported the overall reliability and validity of the TENA. Furthermore, we observed differences in number and arithmetic competencies between and within Preschoolers and Kindergartners, but not between boys and girls. Finally, experts overestimated children’s performances on the test. The scientific and practical implications of these results are discussed.
Investigation of MgO as a candidate for the primary nucleating dust species around M stars

The possibility of magnesium oxide being the first species to nucleate in the cooling outflows around M stars has been investigated. By treating the formation of the seed nuclei as a homogeneous nucleation problem and using molecular dynamics data obtained with the 'compressible ion potential' for MgO, free energy calculations are performed to obtain an estimate of the population densities of MgO clusters of various sizes. It is found that a free energy barrier of at least hundreds of k B T would need to be climbed in order for MgO to nucleate in significant amount in typical circumstellar shells, hence ruling out MgO as a realistic candidate for the primary nucleating dust species. This is in agreement with a similar conclusion reached in earlier studies, although the present calculations are based on a much more robust potential model for MgO.
Hydrogen Sulfide Downregulates Oncostatin M Expression via PI3K/Akt/NF-κB Signaling Processes in Neutrophil-like Differentiated HL-60 Cells

The cytokine oncostatin M (OSM) is regarded as a critical mediator in various inflammatory responses. While the gaseous signaling molecule hydrogen sulfide (H2S) plays a role in a variety of pathophysiological conditions, such as hypertension, inflammatory pain, osteoarthritis, ischemic stroke, oxidative stress, retinal degeneration, and inflammatory responses, the underlying mechanism of H2S action on OSM expression in neutrophils needs to be clarified. In this work, we studied how H2S reduces OSM expression in neutrophil-like differentiated (d)HL-60 cells. To evaluate the effects of H2S, sodium hydrosulfide (NaHS, a donor that produces H2S), ELISA, real-time PCR (qPCR), immunoblotting, and immunofluorescence staining were utilized. Although exposure to granulocyte–macrophage colony-stimulating factor (GM-CSF) resulted in upregulated levels of production and mRNA expression of OSM, these upregulated levels were reduced by pretreatment with NaHS in dHL-60 cells. Similarly, the same pretreatment lowered phosphorylated levels of phosphatidylinositol 3-kinase, Akt, and nuclear factor-kB that had been elevated by stimulation with GM-CSF. Overall, our results indicated that H2S could be a therapeutic agent for inflammatory disorders via suppression of OSM.
Neurofibromatosis Type 1 (NF1): Addressing the Transition from Pediatric to Adult Care

Abstract Health care transition, or HCT, is the process of adolescents and young adults moving from a child/family-centered model of health care to an adult/patient-centered model of health care. Healthcare providers have an essential role in this process which can be especially challenging for individuals with medical or special healthcare needs. Neurofibromatosis type 1 (NF1) is a complex multisystem disorder requiring lifelong medical surveillance, education, and psychosocial support. This review highlights the transition needs of NF1 patients and provides resources for both clinicians and families to facilitate HCT in this population. The authors propose a framework for the development of an effective NF1 transition program by using the Six Core Elements model of the Got Transition program, reviewing existing literature, and incorporating author experiences in the care and transition of NF1 patients.