Miracle-dz/UniFAR-FTUs huggingface dataset:
Out-of-plane corrugations in graphene based van der Waals heterostructures

Two dimensional materials are usually envisioned as flat, truly 2D layers. However out-of-plane corrugations are inevitably present in these materials. In this manuscript, we show that graphene flakes encapsulated between insulating crystals (hBN, WSe2), although having large mobilities, surprisingly contain out-of-plane corrugations. The height fluctuations of these corrugations are revealed using weak localization measurements in the presence of a static in-plane magnetic field. Due to the random out-of-plane corrugations, the in-plane magnetic field results in a random out-of-plane component to the local graphene plane, which leads to a substantial decrease of the phase coherence time. Atomic force microscope measurements also confirm a long range height modulation present in these crystals. Our results suggest that phase coherent transport experiments relying on purely in-plane magnetic fields in van der Waals heterostructures have to be taken with serious care.
Random Partition Models for Microclustering Tasks

Abstract Traditional Bayesian random partition models assume that the size of each cluster grows linearly with the number of data points. While this is appealing for some applications, this assumption is not appropriate for other tasks such as entity resolution (ER), modeling of sparse networks, and DNA sequencing tasks. Such applications require models that yield clusters whose sizes grow sublinearly with the total number of data points—the microclustering property. Motivated by these issues, we propose a general class of random partition models that satisfy the microclustering property with well-characterized theoretical properties. Our proposed models overcome major limitations in the existing literature on microclustering models, namely a lack of interpretability, identifiability, and full characterization of model asymptotic properties. Crucially, we drop the classical assumption of having an exchangeable sequence of data points, and instead assume an exchangeable sequence of clusters. In addition, our framework provides flexibility in terms of the prior distribution of cluster sizes, computational tractability, and applicability to a large number of microclustering tasks. We establish theoretical properties of the resulting class of priors, where we characterize the asymptotic behavior of the number of clusters and of the proportion of clusters of a given size. Our framework allows a simple and efficient Markov chain Monte Carlo algorithm to perform statistical inference. We illustrate our proposed methodology on the microclustering task of ER, where we provide a simulation study and real experiments on survey panel data.
Anyonic Molecules in Atomic Fractional Quantum Hall Liquids: A Quantitative Probe of Fractional Charge and Anyonic Statistics

We study the quantum dynamics of massive impurities embedded in a strongly interacting two-dimensional atomic gas driven into the fractional quantum Hall (FQH) regime under the effect of a synthetic magnetic field. For suitable values of the atom-impurity interaction strength, each impurity can capture one or more quasi-hole excitations of the FQH liquid, forming a bound molecular state with novel physical properties. An effective Hamiltonian for such molecules is derived within the Born-Oppenheimer approximation, which provides renormalized values for the effective mass, charge and statistics of such anyonic molecules by combining the finite mass of the impurity and the fractional charge and anyonic statistics of the quasi-holes. The anyonic statistics is shown to provide a long-range Aharonov-Bohm-like interaction between molecules. The resulting relative phase of the direct and exchange scattering channels can be thus extracted from the angular position of the interference fringes in the scattering cross section of a pair of colliding molecules. Different configurations providing direct and quantitative insight on the fractional charge and the anyonic statistics of quasi-hole excitations in FQH liquids are highlighted for both cold atoms and photonic systems.
The current state of automated argumentation theory: a literature review (cid:63)

Automated negotiation can be an eﬃcient method for resolving conﬂict and redistributing resources in a coalition setting. Automated negotiation has already seen increased usage in ﬁelds such as e-commerce and power distribution in smart girds, and recent advancements in opponent modelling have proven to deliver better outcomes. However, signiﬁcant barriers to more widespread adoption remain, such as lack of predictable outcome over time and user trust. Additionally, there have been many recent advancements in the ﬁeld of reasoning about uncertainty, which could help alleviate both those problems. As there is no recent survey on these two ﬁelds, and speciﬁcally not on their possible intersection we aim to provide such a survey here.
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI

Magnetic Resonance Imaging (MRI) is considered today the golden-standard modality for soft tissues. The long acquisition times, however, make it more prone to motion artifacts as well as contribute to the relative high costs of this examination. Over the years, multiple studies concentrated on designing reduced measurement schemes and image reconstruction schemes for MRI, however these problems have been so far addressed separately. On the other hand, recent works in optical computational imaging have demonstrated growing success of simultaneous learning-based design of the acquisition and reconstruction schemes manifesting significant improvement in the reconstruction quality with a constrained time budget. Inspired by these successes, in this work, we propose to learn accelerated MR acquisition schemes (in the form of Cartesian trajectories) jointly with the image reconstruction operator. To this end, we propose an algorithm for training the combined acquisition-reconstruction pipeline end-to-end in a differentiable way. We demonstrate the significance of using the learned Cartesian trajectories at different speed up rates. Code available at https://github.com/tomer196/fastMRI-Cartesian.
Properties of Some $\psi$-Hilfer fractional Integrodifferential equations.

In this paper we study some properties of $\psi$-Hilfer fractional integrodifferential equations. We obtain the existence and uniqueness and other properties such as continuous dependence of solution. The tools used for obtaining our result is Banach fixed point theorem. Certain inequalities are also used obtain the estimates on the solution of the equation.
The prognostic effect of known and newly detected type 2 diabetes in patients with acute coronary syndrome

Background: Dysglycemia is a well-established risk factor of coronary artery disease. Less is known of the prognostic effect of dysglycemia in acute coronary syndromes (ACSs). The aim of this study was to evaluate the long-term outcome of patients with ACSs according to glucometabolic categories. Methods: Patients with ACSs were consecutively included in the study. Among those with no previous history of type 2 diabetes (T2DM) glucose metabolism was evaluated with fasting glucose in plasma, glycated hemoglobin and a standard 2-h oral glucose tolerance test. Patients were classified having normal glucose metabolism, prediabetes, newly detected T2DM (nT2DM) and previously known T2DM (kT2DM). The clinical outcome parameters were death or myocardial infarction and other major adverse cardiac events (MACEs). Results: A total of 372 ACS patients (male 75.8%, 65.1 years (SD: 11.8)) constituted the study population. The proportion diagnosed with normal glucose metabolism, prediabetes, nT2DM and kT2DM was 20.7%, 46.5%, 6.2% and 26.6%, respectively. The mean follow-up period was 2.9 years. Patients with prediabetes, nT2DM and kT2DM had a hazard ratio of 5.8 (95% confidence interval (CI) 0.8–44.6), 10.9 (95% CI 1.2–98.3) and 14.9 (95% CI 2.0–113.7), respectively, for death/myocardial infarction and 1.4 (95% CI 0.6–3.1), 2.9 (95% CI 1.1–8.0) and 3.3 (95% CI 1.5–7.6), respectively, for a composite of MACEs. Conclusion: Patients with ACS and nT2DM or kT2DM were at increased risk of death/myocardial infarction and MACE compared with patients with normal glucose metabolism after approximately three years of follow-up.
Type 2 Diabetes May Increase Breast Cancer Risk in African-American Women

F indings from an observational study show type 2 diabetes increased the risk for an aggressive form of breast cancer in African-American women by more than 40 percent (Cancer Res 2017;77(22):6462-6469). African-American women are disproportionately diagnosed with ER-negative breast cancer, with double the incidence of white women, according to researchers. “Our results showed statistically significant evidence of an increased risk of ER-negative breast cancer in black women who had type 2 diabetes before they ever had breast cancer, primarily in the women who had diabetes for at least 5 years,” said Julie R. Palmer, ScD, Associate Director of Boston University’s Slone Epidemiology Center, Professor of Epidemiology at Boston University School of Public Health, and Associate Director of Population Sciences at the BU-BMC Cancer Center. “If these results are confirmed, type 2 diabetes would be a modifiable risk factor for ER-negative breast cancer. ” The study did not show diabetes increased incidence of estrogen receptor (ER)-positive breast cancer, which is the most common subtype (75%) and has a very high survival rate, Palmer noted.
Closed-loop Administration of General Anaesthesia: From Sensor to Medical Device

Abstract Closed-loop administration devices for general anaesthesia have become a common subject of clinical research over the last decade and appear more and more acceptable in clinical practice. They encompass various therapeutic needs of the anesthetized patient, e. g. fluid administration, hypnotic and analgesic drug administration, myorelaxation. Multiple clinical trials involving closed-loop devices have underscored their safety, but data concerning their clinical benefit to the patient are still lacking. As the marketing of various devices increases, clinicians need to understand how comparisons between these devices can be made: the measure of performance error and wobble are technical but have also a clinical meaning, to which clinical outcomes can be added, such as drug consumption and maintenance of hemodynamic parameters (e. g. heart rate and blood pressure) within predefined ranges. Clinicians using closed-loop devices need especially to understand how various physiological signals lead to specific drug adaptations, which means that they switch from decision making to supervision of general anaesthesia.
Cross-Cultural Comparison of Teachers' Views upon Integration and Use of Technology in Classroom.

The purpose of the study is to compare teachers’ views upon integration and use of technology in classroom. To make cross-cultural comparison of teachers’ views, we interviewed with nine teachers in a primary school in city of Erzincan, Turkey and compared the views of the teachers with those of the teachers living in foreign countries. To obtain the data from other countries, we used the comments of the teachers who shared their views with us at Edutopia Blog Page. We used a qualitative research method with semi structured interview form to gather data and to compare them with the comments in blog page. Having analysed, compared and discussed the views of the teachers, we recommended that the school principals, teachers and students should be encouraged to integrate technology and use mobile technology in classroom so that the students can prepare themselves for competition and race with the others and future careers.
Psychological and Physiological Profiles in Oncology Caregivers: A Multivariable Cross-Sectional Study

Scientific research has led to enhanced medical assistance, and hence higher disease control and a continuous lifespan dilation. However, research mainly focusses on the patient’s condition, and, in some cases, caregivers’ health is undervalued. In this paper, a close-related emotionally involved caregiver group is examined and compared to a non-caregiver group in order to investigate the role of chronic stress in their psychological and physiological state. For this purpose, blood, saliva, and hair samples, physiological signals and three validated psychometric tests are collected from both groups. Results from 39 subjects show interesting significant differences among all the psychometric profiles between the two groups although no sufficient biochemical data supports the relation with potential health consequences.
Adaptive Online Module Prototype for Learning Unified Modelling Language (UML)

Every student has their own learning style. Some students may prefer to read the learning material while some other students may prefer to discuss with their colleagues to help them understanding the information more effectively. One of the learning materials is Unified Modeling Language or UML. UML is an industry standard language to specify, visualize, construct, and document the artifacts of software systems. Today, many UML online learning sites are designed to give added information to students other than face-to-face interaction in the classroom. However, most of UML materials provided by the online learning resources are limited to text-based material which is suitable only for students with verbal learning styles. This research aims to identify and analyze the needs before developing a prototype of an adaptive online module. The research is also driven by the need to develop a prototype of adaptive online module that is based on the student's learning style categories in order to help students understand UML better. The result of this research is a prototype of adaptive online module which will identify students' learning styles and lead the students to learning environment that suits their learning style.
Understanding and Adopting Plant-Based Nutrition: A Survey of Medical Providers

Plant-based nutrition can be protective against a number of chronic diseases. The objectives of this study were to determine the medical community’s knowledge of plant-based nutrition and assess whether participants would be willing to adopt or recommend this diet to patients. A questionnaire was emailed to more than 4000 students and faculty at Rush University Medical Center. A total of 64 physicians were analyzed. The majority (58%) were female and physician attendings (72%). Most (79%) believed that a plant-based diet is most similar to a vegetarian or vegan diet. When asked if they would recommend a plant-based diet to patients, 33% said yes and 51% said maybe. When asked if they would consider adopting a plant-based diet, 28% said yes, 34% said maybe, and 8% said for a short amount of time. In a convenience sample of physicians, most were aware of the definition and health effects of plant-based nutrition, but fewer were well versed in the details of this diet. More than half were open to potentially recommending or adopting a plant-based diet. Education about plant-based nutrition is essential to increase knowledge and understanding about this dietary pattern.
MANIA INDUCED BY STEROID-ADULTERATED HERBAL MEDICINE: A CASE REPORT

Traditional herbal medicines are generally perceived as natural and safe. Nonetheless, adulteration of such complementary products, including Chinese Proprietary Medicines with undeclared drugs, notably steroids, is a recognized problem. While there are many accounts of Cushingâ€™s syndrome due to steroid content in traditional medicines, psychiatric complications caused by the similar insults are not reported throughout the literature. We report a case of acute mania after the short-term use of steroid-adulterated herbal product in a previously healthy young male. It shows that psychiatric complications can occur in such a scenario without the physical and metabolic features of Cushingâ€™s syndrome, and pharmacodynamic interaction between the herbal ingredient and adulterant is a possible factor. The case also highlights the need for awareness of culturally influenced health product consumption and its potential effects on clinical conditions, as well as the important role of a robust surveillance system for such products.
The Use of Cell-based Approaches for Inducing Therapeutic Vascularization

Background: The aim of the present PhD thesis is to evaluate the possible utilization of different cell-based therapies for treating ischemia-related clinical problems, especially chronic wounds. Vascularization is a key process in tissue engineering and regeneration. It represents one of the most important issues in the field of regenerative medicine. Cell-based therapies are of great interest to researchers due to the improvement of stem/progenitor cell technology and also the improvement of the genetic modification technology of cells. Several cell-based strategies aimed to improve vascularization are currently under pre-clinical or clinical evaluation. Materials and methods: We evaluated three different cell-based therapies using two different ischemic tissue regeneration models: 1) Stem cells derived from human sweat glands were isolated, characterized and seeded in collagen scaffold, and engrafted in a mouse full skin defect model for evaluating dermal neovascularization. 2) We isolated and characterized vascular resident endothelial progenitor cells (VR-EPCs) from cardiac tissue in vitro, evaluating their regenerative potential in vivo in a bare mouse full skin defect model to test the neovascularization ability of such cells. 3) During the first two sub-projects, we discovered the paracrine effects from stem/progenitor cells secreting pro-angiogenic factors. Thus, rat dermal fibroblasts were nucleofected ex vivo to release pro-angiogenic factors bFGF and VEGF165 and applied in a hind limb ischemia model in vivo to test the contribution of paracrine effects for neovascularization. After femoral artery ligation, gene-modified cells were injected intramuscularly. One week post injection, local confined plasmid expression and transient distributions of the plasmids in other organs were detected by quantitative PCR. Quantitative micro-CT analyses showed improvements of vascularization in the ischemic zone. Principle findings: 1) The presence of human sweat gland-derived stem cells significantly improved dermal neovascularization (p<0.001). 2) The presence of VR-EPCs enhanced dermal vascularization area (p<0.001). Histological assays showed increased vessel number (p < 0.05) and cellularization (p < 0.05). 3) Quantitative micro-CT analyses showed improvements of vascularization in the ischemic zone in the hind limb ischemia model. Moreover, improved collateral proliferation and an increase in blood perfusion in the lower hindlimb were also observed. Conclusions: These results demonstrate the feasibility and effectiveness of cell-based therapies in different ischemia-related problems. Possible candidate cells discussed in this thesis include: 1) sweat gland-derived stem cells; 2) highly clonogenic therapeutic population of VR-EPCs; 3) gene nucleofected primary fibroblasts producing pro-angiogenic growth factors.
PROGINS Mutation of Progesterone Receptors and Its Role in Premature Birth – An Overview

Premature birth (prior to 37 weeks of gestation) is a big medical and socioeconomic problem. It accounts for 8 - 12% of the total number of births, and apart from causing increased mortality of newborns, it is also the cause of increased morbidity. Fifteen million babies per year are born preterm. Despite the frequency, consequences and costs of premature delivery, very little has been done for preventing it, especially for preventing extremely premature deliveries (before the 28th gestation week). Etiology of premature labor is multifactorial, and includes pathophysiology, genetic and environmental factors. Recent scientific research shows that genetic factors, mostly present in the mother's genome, account for up to 40% of variation in the delivery time. It is believed that premature birth exhibits the same cascade of events like a normal birth, only it starts sooner. This process is controlled by a series of hormonal effects between the fetus, the placenta and the mother. One of the key signaling pathways in this series is the progesterone signaling pathway. PROGINS allele is a progesterone receptor gene modification. It is made of three variants: V660L, H770H and alu insertion. Progesterone receptors with PROGINS mutation are less susceptible to progesterone activity, and it seems that the withdrawal of progesterone causes the beginning of birth cascade. Mutation of +331 G/A progesterone receptor is a newly discovered mutation. It is believed that this mutation leads to a PR-A and PR-B receptor quantity disorder before the delivery term. The aim of this review is to summarize all recent knowledge about PROGINS and +331 G/A mutation of progesterone receptors and to estimate whether this genetic mutation has a value in modulation of risk of preterm birth. Keywords: premature birth, progesterone, progesterone receptors, +331 G/A progeterone receptor mutation, PROGINS mutation
Sams Teach Yourself PHP in 24 Hours

From the Publisher: Consisting of 24 one-hour lessons, Sams Teach Yourself PHP4 in 24 Hours is divided into five sections that guide you through the language from the basics to the advanced functions. The first section of the book teaches the fundamentals of PHP. Building upon what has been taught in the first section, sections two through four show you how to apply that knowledge in order to interact with the user by creating and managing forms, cookies and authentication. It also teaches how to access databases and how to integrate system components, e-mail, LDAP, network sockets and much more. The final section of the book covers advanced functionality including how to debug and optimize scripts, maintain script security, and extend PHP with API. The only tutorial book on this fast-growing technology for creating server-based Web applications PHP is similar to Microsoft's Active Server Pages, but is designed for the Apache Web server rather than IIS Written by a member of the PHP development group with years of both writing and programming experience
Tratamiento farmacológico de la depresión: comparación entre las principales Guías de Práctica Clínica

La depresion supone un problema sanitario de primera magnitud, por su alta prevalencia y su impacto sobre la funcionalidad y calidad de vida de los pacientes. Su tratamiento efectivo suele incluir el abordaje farmacologico, que debe basarse en las pruebas disponibles y seguir las recomendaciones generales de manejo de las Guias de Practica Clinica (GPC). El presente trabajo pretende, a traves de la busqueda en diferentes bases de datos (Medline, Scopus, PubMed, Web of Science y PshycINFO) y la revision de las principales GPC internacionales, comparar las distintas recomendaciones dadas sobre el tratamiento farmacologico de la depresion. Se revisan las similitudes y discrepancias sobre: eleccion de antidepresivo y tratamientos asociados, duracion del tratamiento tras la remision, prevencion de recaidas, retirada de farmacos y estrategias de actuacion ante la falta de respuesta.