Miracle-dz/UniFAR-FTUs huggingface dataset:
Statement of research achievements and interests

The main topic of my research is the existence, stability, and interactions of extended field theoretical objects. These objects belong to sectors of the spectrum of nonlinear field theories not available to perturbation theory. Thus they opened up a new paradigm, and bear applications in many areas of physics, from nuclear physics to cosmology, gravitation theory, high energy physics, superconductivity and superfluidity. In my work, I apply analytical, perturbative and numerical methods, in many cases a combination of these to study the phenomena at hand, with a large set of mathematical and numerical tools.
Soft Tissue Effects of Twin Block Appliance and Face-Bow on Early Treatment of Severe Class II Division 1 Malocclusion

Class II division 1 patients are characterized by increased horizontal overjet between maxillary and mandibular incisors, lower lip is trapped behind protruded upper incisors and unfavorable convex facial profile, thus affecting patient's self-esteem and decrease their face attractiveness. The treatment modalities of any orofacial skeletal problem can be achieved by the growth modification, dental camouflage and/ororthognathic surgery. The action of the functional appliances during growth age is rearrangement and altering the direction of muscles' force that influences the function and the position of the mandible whereas the force will be transmitted to the basal bone and dentition. In this study a sample of twelve patients who presented to Orthodontic Department clinic in faculty of dentistry, Mansoura University. All selected patients had skeletal class II division 1malocclusion due to mandibular deficiency with more than ten mm over-jet. They were treated by Twin Block functional appliance and face-bow. Treatment continued for almost a year. Facial profile better changes has occurredafter treatment. ------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 20-12-2018 Date of acceptance: 06-01-2019 ------------------------------------------------------------------------------------------------------------------------------------
Occurrence of Calcifying Nanoparticles in Clinical Specimens Derived from Patients with Atherosclerosis and Nephrolithiasis

Objectives. The aim of the study was to evaluate the association between the occurrence of calcifying nanoparti− cles (CNPs) and extraskeletal calcification in patients diagnosed with atherosclerosis and nephrolithiasis. Material and Methods. A total of 134 clinical specimens, including serum samples (n = 95), carotid artery plaques (n = 20), and kidney stones (n = 19), were cultured for CNPs. All the specimens were collected during a three−year period (2005–2007) from patients hospitalized in the Regional Specialist Hospital in Wrocław, Poland. The serum samples and carotid artery plaques were from patients with atherosclerosis and the kidney stones from patients with nephrolithiasis. Serum samples (n = 25) from healthy volunteer donors were used as a control. All the samples were cultured in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% γ−irradiated fetal calf serum under cell culture conditions. The presence of CNPs was visualized by scanning electron microscopy (SEM). The cytotoxic effect of CNPs on human and mouse cells was evaluated by the MTT colorimetric assay. Results. SEM analysis of the biofilm adhering to the culture flask revealed coccoid−shaped and/or rod structures in 73 (54.5%) of the 134 specimens subjected to this study. The most positive results (65.3%) were obtained in the cultures derived from serum samples. Positive results were obtained in 25% of the carotid artery plaque and 31.6% of the kidney stone cultures. None of the 25 control serum samples were positive for CNPs. Attempts to propagate CNPs in fresh culture medium were unsuccessful. No cytotoxic effect of CNPs on human or mouse cell lines was shown. Conclusions. The findings demonstrate that CNPs cannot be considered living entities although they may be involved in pathological processes leading to extraskeletal calcification in humans (Adv Clin Exp Med 2009, 18, 3, 269–275).
Diagnosing Price Dispersion

Using detailed purchase order data for a large sample of US hospitals 2009-15, we document large price dispersion across hospital buyers for identical products in a variety of medical supply markets. We develop a model and identification strategy to determine the extent to which this dispersion – and the market power that supports it – is determined by brand preferences, search/contracting costs, and bargaining abilities. Estimates suggest that large markups are primarily driven by lack of price sensitivity among health care providers in their product usage decisions. Hospital administrator bargaining ability varies widely across hospitals, driving most of the observed price dispersion across hospitals. These results suggest that moves to reduce buyer search and contracting costs are unlikely to have much impact in decreasing margins or price dispersion, unless they can help to solve provider and administrator agency problems. ∗We would like to thank Sebastian Fleitas, Aviv Nevo, Ali Yurukoglu, and seminar audiences at Penn, Stanford, McGill, and Carnegie Mellon for helpful feedback. The data used in this paper were generously provided, in part, by the ECRI Institute (www.ecri.org). We gratefully acknowledge financial support from the Wharton Public Policy Initiative and NSF Grant 30067535. Stuart Craig, Gi Heung Kim, Changhwa Lee, and Donato Onorato provided excellent research assistance. Any errors are our own.
The impact of quality of services and satisfaction on customer loyalty: The moderate role of switching costs

Article history: Received: October 9, 2019 Received in revised format: November 25 2019 Accepted: December 27, 2019 Available online: December 27, 2019 This study investigates the impacts of service quality of Jordanian telecommunication and customer satisfaction on customer loyalty. The study also studies though the role of switching cost as a moderate variable. Lack of studies in the field of quality in Jordanian telecommunication is the main reason for this investigation. The study investigates the impacts based on the employees’ point of views in Aqaba special economic zone authority (ASEZA). Therefore, the study uses statistical data gathered through a questionnaire distributed to the employees of ASEZA. Thus, statistical methods are used to analyze the data collected and the hypotheses are tested. The study results show that there was a direct positive impact of service quality of Jordanian telecommunication and customer satisfaction on customer loyalty. In addition, the moderator model (Switching cost) has significant positive impacts on enhancing the relationship between service quality and customer satisfaction towards customer loyalty. © 2020 by the authors; licensee Growing Science, Canada
Reboot Online: A Randomized Controlled Trial Comparing an Online Multidisciplinary Pain Management Program with Usual Care for Chronic Pain.

OBJECTIVE Chronic pain is a prevalent and burdensome condition. Reboot Online was developed to address treatment barriers traditionally associated with accessing face-to-face chronic pain management programs. It is a comprehensive multidisciplinary online treatment program, based on an existing and effective face-to-face multidisciplinary pain program (the Reboot program). DESIGN & PARTICIPANTS A CONSORT-compliant randomized controlled trial was conducted, enrolling adults who had experienced pain for three months or longer. METHODS Participants were randomly allocated to either an eight-lesson multidisciplinary pain management program, Reboot Online (N = 41), or to a usual care (UC) control group (N = 39). Clinical oversight was provided by a multidisciplinary team remotely, including physiotherapists and clinical psychologists. Participants were measured at baseline, post-treatment (week 16), and three-month follow-up (week 28). RESULTS Intention-to-treat analyses revealed that Reboot Online was significantly more effective than UC at increasing pain self-efficacy (g = 0.69) at post-treatment, and these gains were maintained at follow-up. Similarly, Reboot Online was significantly more effective than UC on several secondary measures at post-treatment and follow-up, including movement-based fear avoidance and pain-related disability, but it did not significantly reduce pain interference or depression compared with UC. Clinician input was minimal, and adherence to Reboot Online was moderate, with 61% of participants (N = 25) completing all eight lessons. CONCLUSIONS Reboot Online presents a novel approach to multidisciplinary pain management and offers an accessible, efficacious alternative and viable treatment option for chronic pain management.
Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions

Emotion plays an essential role in human-to-human communication, enabling us to convey feelings such as happiness, frustration, and sincerity. While modern speech technologies rely heavily on speech recognition and natural language understanding for speech content understanding, the investigation of vocal expression is increasingly gaining attention. Key considerations for building robust emotion models include characterizing and improving the extent to which a model, given its training data distribution, is able to generalize to unseen data conditions. This work investigated a long-shot-term memory (LSTM) network and a time convolution - LSTM (TC-LSTM) to detect primitive emotion attributes such as valence, arousal, and dominance, from speech. It was observed that training with multiple datasets and using robust features improved the concordance correlation coefficient (CCC) for valence, by 30% with respect to the baseline system. Additionally, this work investigated how emotion primitives can be used to detect categorical emotions such as happiness, disgust, contempt, anger, and surprise from neutral speech, and results indicated that arousal, followed by dominance was a better detector of such emotions.
Grip and pinch strength in children with Down syndrome

Introduction Children with Down syndrome present with joint laxity, hypotonia and shortened hands resulting in reduced grip and pinch strength. Limited information on grip and pinch strength in children with Down syndrome motivated this study. Methods A convenience sample of 30 children with Down syndrome (9–16 years) from special schools and 30 age- and gender-matched healthy school children was studied. Grip and pinch strength were measured according to ASHT standard procedure using JAMAR® dynamometer and B&L pinch gauge. Anthropometric data of upper limb and subject characteristics were recorded. Results Children with Down syndrome had significantly lower values for grip, palmar and key pinch strength (p < 0.001) (6.3 kg, 1.91 kg, 2.75 kg) compared to healthy children (15.9 kg, 2.86 kg, 3.52 kg), respectively. A positive moderate correlation was observed between right hand grip strength and body height (r = 0.67), bodyweight (r = 0.69), total arm length (r = 0.68), upper arm length (r = 0.68), forearm length (r = 0.63), hand length (r = 0.68) and hand breadth (r = 0.66) in children with Down syndrome. Conclusions Children with Down syndrome presented with 60% less grip strength, 33% less palmar pinch strength and 22% less key pinch strength when compared to children without Down syndrome. Positive moderate correlation was observed between grip strength, body height, body weight and upper limb anthropometric variables in children with Down syndrome.
The ALMA view of the high-redshift relation between supermassive black holes and their host galaxies

Context. The existence of tight correlations between supermassive black holes (BHs) and their host galaxies’ properties in the local Universe suggests a closely linked evolution. Investigating these relations up to the high redshifts (z ≳ 6) is crucial in order to understand the interplay between star formation and BH growth across the cosmic time and to set constraints on galaxy formation and evolution models. In this work, we focus on the relation between BH mass (MBH) and the dynamical mass (Mdyn) of the host galaxy. Aims. Previous works suggest an evolution of the MBH−Mdyn relation with redshift indicating that BH growth precedes the galaxy mass assembly during their co-evolution at z > 3. However, dynamical galaxy masses at high redshift are often estimated through the virial theorem, thus introducing significant uncertainties. Within the scope of this work, our aim is to study the MBH−Mdyn relation of a sample of 2 < z < 7 quasars by constraining their galaxy masses through a full kinematical modelling of the cold gas kinematics, thus avoiding all possible biases and effects introduced by the rough estimates usually adopted so far. Methods. For this purpose, we retrieved public observations of 72 quasar host galaxies observed in [CII]158 μm or CO transitions with the Atacama Large Millimeter Array (ALMA). We then selected those quasars whose line emission is spatially resolved, and performed a kinematic analysis on ALMA observations. We estimated the dynamical mass of the systems by modelling the gas kinematics with a rotating disc, taking into account geometrical and instrumental effects. Our dynamical mass estimates, combined with MBH obtained from literature and our own new CIVλ1550 observations allowed us to investigate the MBH/Mdyn in the early Universe. Results. Overall, we obtained a sample of ten quasars at z ∼ 2−7, in which line emission is detected with high S/N (≳5−10) and the gas kinematics are spatially resolved and dominated by ordered rotation. The estimated dynamical masses place six out of ten quasars above the local relation yielding to MBH/Mdyn ratios ∼10× higher than those estimated in low-z galaxies. On the other hand, we found that four quasars at z ∼ 4−6 have dynamical-to-BH-mass ratios consistent with what is observed in early-type galaxies in the local Universe.
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

Sparse polynomial chaos expansions are a popular surrogate modelling method that takes advantage of the properties of polynomial chaos expansions (PCE), the sparsity-of-effects principle, and powerful sparse regression solvers to approximate computer models with many input parameters, relying on only few model evaluations.Within the last decade, a large number of algorithms for the computation of sparse PCE have been published in the applied math and engineering literature. We present an extensive review of the existing methods and develop a framework to classify the algorithms. Furthermore, we conduct a benchmark on a selection of methods to identify which methods work best in practical applications. Comparing their accuracy on several benchmark models of varying dimension and complexity, we find that the choice of sparse regression solver and sampling scheme for the computation of a sparse PCE surrogate can make a significant difference, of up to several orders of magnitude in the resulting mean-square error. Different methods seem to be superior in different regimes of model dimensionality and experimental design size.
Supernova Siblings: Assessing the Consistency of Properties of Type Ia Supernovae that Share the Same Parent Galaxies

While many studies have shown a correlation between properties of the light curves of SNe Ia and properties of their host galaxies, it remains unclear what is driving these correlations. We introduce a new direct method to study these correlations by analyzing “parent” galaxies that host multiple SNe Ia “siblings. ” Here, we search the Dark Energy Survey SN sample, one of the largest samples of discovered SNe, and find eight galaxies that hosted two likely SNe Ia. Comparing the light-curve properties of these SNe and recovered distances from the light curves, we find no better agreement between properties of SNe in the same galaxy as any random pair of galaxies, with the exception of the SN light-curve stretch. We show at 2. 8σ significance that at least one-half of the intrinsic scatter of SNe Ia distance modulus residuals is not from common host properties. We also discuss the robustness with which we could make this evaluation with LSST, which will find 100× more pairs of galaxies, and pave a new line of study on the consistency of SNe Ia in the same parent galaxies. Finally, we argue that it is unlikely that some of these SNe are actually single, lensed SN with multiple images.
Boosting API Recommendation With Implicit Feedback

Developers often need to use appropriate APIs to program efficiently, but it is usually a difficult task to identify the exact one they need from a vast list of candidates. To ease the burden, a multitude of API recommendation approaches have been proposed. However, most of the currently available API recommenders do not support the effective integration of user feedback into the recommendation loop. In this paper, we propose a framework, BRAID (Boosting RecommendAtion with Implicit FeeDback), which leverages learning-to-rank and active learning techniques to boost recommendation performance. By exploiting user feedback information, we train a learning-to-rank model to re-rank the recommendation results. In addition, we speed up the feedback learning process with active learning. Existing query-based API recommendation approaches can be plugged into BRAID. We select three state-of-the-art API recommendation approaches as baselines to demonstrate the performance enhancement of BRAID measured by Hit@k (Top-k), MAP, and MRR. Empirical experiments show that, with acceptable overheads, the recommendation performance improves steadily and substantially with the increasing percentage of feedback data, comparing with the baselines.
Physical and chemical modeling of the starless core L 1512

Context. The deuterium fractionation in starless cores gives us a clue to estimate their lifetime scales, thus allowing us to distinguish between dynamical theories of core formation. Cores also seem to be subject to a differential N2 and CO depletion, which was not expected from the models. Aims. We aim to create a survey of ten cores to estimate their lifetime scales and depletion profiles in detail. After describing L 183, located in Serpens, we present the second cloud of the series, L 1512, from the star-forming region Auriga. Methods. To constrain the lifetime scale, we performed chemical modeling of the deuteration profiles across L 1512 based on dust extinction measurements from near-infrared observations and nonlocal thermal equilibrium radiative transfer with multiple line observations of N2H+, N2D+, DCO+, C18O, and 13CO, plus H2D+ (110–111). Results. We find a peak density of 1.1 × 105 cm−3 and a central temperature of 7.5 ± 1 K, which are higher and lower, respectively, compared with previous dust emission studies. The depletion factors of N2H+ and N2D+ are 27−13+17 and 4−1+2 in L 1512, which are intermediate between the two other more advanced and denser starless core cases, L 183 and L 1544. These factors also indicate a similar freeze-out of N2 in L 1512, compared to the two others despite a peak density one to two orders of magnitude lower. Retrieving CO and N2 abundance profiles with the chemical model, we find that CO has a depletion factor of ~430–870 and the N2 profile is similar to that of CO unlike that toward L 183. Therefore, L 1512 has probably been living long enough so that N2 chemistry has reached steady state. Conclusions. N2H+ modeling is necessary to assess the precise physical conditions in the center of cold starless cores, rather than dust emission. L 1512 is presumably older than 1.4 Myr. Therefore, the dominating core formation mechanism should be ambipolar diffusion for this source.
Large deviations for the largest eigenvalue of matrices with variance profiles

In this article we consider Wigner matrices $X_N$ with variance profiles (also called Wigner-type matrices) which are of the form $X_N(i,j) = \sigma(i/N,j/N) a_{i,j} / \sqrt{N}$ where $\sigma$ is a symmetric real positive function of $[0,1]^2$ and $\sigma$ will be taken either continuous or piecewise constant. We prove a large deviation principle for the largest eigenvalue of those matrices under the same condition of sharp sub-Gaussian bound and for some other assumptions on $\sigma$. These sub-Gaussian bounds are verified for example for Gaussian variables, Rademacher variables or uniform variables on $[- \sqrt{3}, \sqrt{3}]$.
Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems

In this paper, we consider the nonlinear ill-posed inverse problem with noisy data in the statistical learning setting. The Tikhonov regularization scheme in Hilbert scales is considered to reconstruct the estimator from the random noisy data. In this statistical learning setting, we derive the rates of convergence for the regularized solution under certain assumptions on the nonlinear forward operator and the prior assumptions. We discuss estimates of the reconstruction error using the approach of reproducing kernel Hilbert spaces.
Central limit theorem over non-linear functionals of empirical measures with applications to the mean-field fluctuation of interacting diffusions

In this work, a generalised version of the central limit theorem is proposed for nonlinear functionals of the empirical measure of i.i. d. random variables, provided that the functional satisfies some regularity assumptions for the associated linear functional derivatives of various orders. This generalisation can be applied to Monte-Carlo methods, even when there is a nonlinear dependence on the measure component. As a consequence of this result, we also analyse the convergence of fluctuation between the empirical measure of particles in an interacting particle system and their mean-field limiting measure (as the number of particles goes to infinity), when the dependence on measure is nonlinear.
Exploring Structural Inductive Biases in Emergent Communication

Human language and thought are characterized by the ability to systematically generate a potentially infinite number of complex structures (e.g., sentences) from a finite set of familiar components (e.g., words). Recent works in emergent communication have discussed the propensity of artificial agents to develop a systematically compositional language through playing co-operative referential games. The degree of structure in the input data was found to affect the compositionality of the emerged communication protocols. Thus, we explore various structural priors in multi-agent communication and propose a novel graph referential game. We compare the effect of structural inductive bias (bag-of-words, sequences and graphs) on the emergence of compositional understanding of the input concepts measured by topographic similarity and generalization to unseen combinations of familiar properties. We empirically show that graph neural networks induce a better compositional language prior and a stronger generalization to out-of-domain data. We further perform ablation studies that show the robustness of the emerged protocol in graph referential games.
Induced Ramsey Number for a Star Versus a Fixed Graph

We write $F{\buildrel {\text{ind}} \over \longrightarrow}(H,G)$ for graphs $F, G,$ and $H$, if for any coloring of the edges of $F$ in red and blue, there is either a red induced copy of $H$ or a blue induced copy of $G$. For graphs $G$ and $H$, let $\mathrm{IR}(H,G)$ be the smallest number of vertices in a graph $F$ such that $F{\buildrel {\text{ind}} \over \longrightarrow}(H,G)$. In this note we consider the case when $G$ is a star on $n$ edges, for large $n$ and $H$ is a fixed graph. We prove that $$ (\chi(H)-1) n \leq \mathrm{IR}(H, K_{1,n}) \leq (\chi(H)-1)^2n + \epsilon n,$$ for any $\epsilon>0$, sufficiently large $n$, and $\chi(H)$ denoting the chromatic number of $H$. The lower bound is asymptotically tight for any fixed bipartite $H$. The upper bound is attained up to a constant factor, for example when $H$ is a clique.