Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuerza estática friccional y rugosidad de la superficie del slot de brackets de autoligado: estudio in vitro

Friction is a crucial factor in order to define the time and effectiveness of tooth movement. The aim of the present investigation was to compare roughness and static frictional force on the surface of self-ligating bracket slots. An experimental study was carried out, based on the analysis of 60 brackets with self-ligating slot 0.022” and torque -7°, divided into three groups: 20 samples with fixed flexible passive clips, 20 brackets with active flexible clip slides and 20 samples with passive rigid sliding clips. The slot’s roughness was evaluated with a contact profilometer at a length of 100 m for 100 seconds. The friction was analyzed by a universal testing machine, inside a dry environment at 21.7°C (34). The statistical analysis was performed using ANOVA normality test with the help of Turkey’s test and correlation. Brackets with fixed flexible passive clips showed an average roughness of 431.219nm and frictional static force of 5.178N. Brackets with active flexible sliding clips obtained an average roughness of 57.694nm and frictional force of 7.786N. Finally, brackets with passive rigid sliding clips had an average roughness of 289.649nm and frictional force of 3.543N. On the other hand, the correlation between roughness and frictional static force showed values of P=0.893 (fixed flexible passive clips), P=0.737 (active flexible sliding clips) and P=0.33 (passive rigid sliding clips). Thus, there is no correlation between roughness and friction force in any of the types of self-ligating brackets analyzed. Brackets with passive flexible sliding clips showed the greatest roughness, while those with active flexible sliding clips denoted the lowest values. Regarding static frictional force, the greatest friction was found in brackets with active flexible sliding clips, while rigid passive sliding clips obtained the lowest friction.
Oscillation Criteria for Second-Order Differential Equations with Superlinear Neutral Term

In this paper, some sufficient conditions for the oscil-lation of all solutions of a second-order nonlinear neutral differen-tial equation with superlinear neutral term are obtained. By meansof an inequality technique and an integral averaging method, somenew oscillation criteria are presented which extend and comple-ment those reported in the literature.
Depletion Region in Cr/CdTe/Au Schottky Diode X- and $\gamma$ -Ray Detectors

The electrical and spectral characteristics of the Cr/cadmium telluride (CdTe)/Au structures with a Schottky contact at the Cr–CdTe interface and near ohmic contact at the Au–CdTe interface were studied. The Schottky diodes were fabricated using high-resistivity CdTe(111) single-crystal wafers with different thicknesses (0.5–2 mm) after preliminary chemical etching and also additional surface treatment by Ar-ion bombardment was employed. Electronic parameters such as the concentration of uncompensated impurities, width of the space-charge region, and the thickness of the depletion region were calculated based on the comparison of the voltage dependences of the photopeak heights in the 241Am isotope spectra excited from the Schottky contact side and ohmic contact side, respectively. The obtained Cr/CdTe/Au Schottky diodes with low leakage current [a few nanoampere (nA) at 1000–1500 V] show promise as high-energy resolution spectroscopic X-/gamma ( $\gamma $ )-ray detectors.
Intensity Gradients Technique: Synergy with Velocity Gradients and Polarization Studies

Magnetic fields are ubiquitous in the interstellar medium but notoriously difficult to study through observation. Making use of the advances in our understanding of MHD turbulence and turbulent reconnection, the velocity gradients technique (VGT) was suggested and successfully applied to study magnetic fields utilizing spectroscopic data. Applying the tools developed for the VGT to intensity statistics, we introduce the intensity gradients technique (IGT) as a complementary tool that can be used synergistically with the VGT. In this paper, we apply the IGT to a diffuse H i region selected from the GALFA-H i survey and compare the intensity gradient (IG) maps with those obtained using velocity gradients, as well as Planck polarization measurements. We demonstrate the possibility of using the IGT and VGT for both studying the magnetic field and identifying shocks in the diffuse interstellar medium. We also explore the ability of the IGT in locating self-gravitating regions and calculating Alfvénic Mach numbers, both alone and in combination with the VGT and polarimetry. We compare the IGT with the histogram of relative orientation, which utilizes IGs to characterize the relative orientation of column density structures and local magnetic fields.
A Model-based Music Recommender System using Collaborative Filtering Technique

Abstract – Collaborative filtering (CF) techniques have been proven to be one of the successful approaches to building music recommender systems (MRS). The CF’s system work by creates suggestions for users based on their neighbors preferences. On the other hand the online music sites data are highly dynamic. As a result, the listeners face the problem of missing music suggestions. Recommender systems help the users to find their music interests and information they are looking for. In this paper we provide other researchers in that field with new valuable knowledge and insights regarding music recommendations using collaborative filtering technique. We then present three main categories of collaborative filtering techniques: memory-based, model-based, and the last hybrid method that combining collaborative and content-based, also we provide more insight how MRS generate recommendations. General Terms: Recommender System, Collaborative Filtering Keyword: Music Personalization, Music Recommendation System Abstrak – Collaborative Filtering (CF) telah menjadi salah satu metode teknik pendekatan yang banyak berhasil membangun sebuah Music Recommender Systems (MRS). Sistem Collaborative Filtering bekerja dengan membuat saran untuk pengguna berdasarkan similar dari konten yang mereka sukai (Neighbors Preferences). Perkembangan situs musik bergerak sangat cepat. Akibatnya, para pengguna dari layanan tersebut menghadapi masalah hilangnya similar konten berupa saran atau rekomendasi musik yang mungkin akan disukai, dimana pengguna dapat menemukan relasi dari musik yang mereka mainkan atau yang telah mereka masukan ke dalam daftar putar (Playlist). MRS telah banyak membantu pengguna dimana si pengguna lebih mudah menemukan minat dan informasi yang mereka cari. Dalam makalah ini kami menyajikan tiga kategori utama yang dimiliki Collaborative Filtering, diantaranya CF berbasis memori, CF berbasis model, dan CF berbasis Hybrid, dengan memberikan sebuah gambaran dan wawasan baru mengenai bagaimana MRS dengan Collaborative Filtering bekerja. Istilah umum: Recommender System, Collaborative Filtering Keyword: Music Personalization, Music Recommendation System
On the Stability and Transition of Time Periodic Pipe Flow

This computational study investigates the transition to turbulence of fluid in a pipe that is subjected to a sinusoidal oscillation. The problem is solved by separating the flow into a laminar base-flow and a linear infinitesimal perturbation. The energy of the perturbation is followed through time-stepper methods, with growth leading towards turbulence, and decay leading to a laminar state. The analysis demonstrates an exponential increase in transient growth of the perturbation as the flow control parameters are varied, a case normally only associated with separated shear flows. The driving mechanism is isolated to a new linear process involving the coordination of two known inviscid instabilities linked to the structure of the laminar base-flow.
Mesure de l'angle de mélange θ₁₃ avec les deux détecteurs de Double Chooz

L'experience Double Chooz a pour but de mesurer l'angle de melange leptonique θ₁₃ avec precision. Pour ce faire, l'experience met a profit deux detecteurs identiques -- remplis de liquide scintillant dope au gadolinium -- afin d'etudier les $antinue$ produits par les deux reacteurs nucleaires de 4.25GWth de la centrale de Chooz. Le detecteur lointain -- situe a une distance moyenne de $SI{1050}{m}$ des coeurs -- prend des donnees depuis Avril 2011. Le detecteur proche -- a une distance moyenne de 400m des coeurs -- observe les reacteurs depuis Decembre 2014. Le parametre de melange θ₁₃ conduit a la disparition d'$antinue$, lorsque ceux-ci voyagent des coeurs jusqu'aux sites de detection; la dependance en energie de ce deficit permet d'extraire la valeur de sin² 2θ₁₃, par ajustement. Les systematiques de detection, ainsi que l'incertitude sur la prediction du flux $antinue$, sont formidablement reduites par le biais de correlations entre les detecteurs et la configuration iso-flux du site. Par consequent, la precision relative a la mesure de θ₁₃ est dominee par les incertitudes sur les bruits de fond et sur la normalisation relative des taux d'$antinue$. Le bruit de fond principal provient de la desintegration des emetteurs βn -- produits par spallation des muons -- dans le detecteur lui-meme. Les spectres de ces isotopes cosmogeniques ont ete simules et completes par un traitement d'erreur rigoureux. Ces predictions sont en bon accord avec les donnees, elles-memes extraites a l'aide d'un veto actif, dont la performance a ete etudiee pour les deux sites. Le taux d'evenements cosmogeniques restant parmi les candidats $antinue$ a egalement ete estime. En outre, la normalisation relative du taux d'$antinue$, liee aux nombres de protons dans les cibles de chaque detecteur, a ete evaluee. Tous ces travaux se sont inscrits au sein des premieres analyses Double Chooz a l'aide de deux detecteurs, produisant sin² (2θ₁₃) = 0.111±0.018.
Nursing Care of the Burn-Injured Patient

What do you do to start reading nursing care of the burn injured patient? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this nursing care of the burn injured patient.
Distributed Submodular Minimization and Motion Planning Over Discrete State Space

We develop a framework for the distributed minimization of submodular functions. Submodular functions are a discrete analog of convex functions and are extensively used in large-scale combinatorial optimization problems. While there has been a significant interest in the distributed formulations of convex optimization problems, distributed minimization of submodular functions has received relatively little research attention. Our framework relies on an equivalent convex reformulation of a submodular minimization problem, which is efficiently computable. We then use this relaxation to exploit methods for the distributed optimization of convex functions. The proposed framework is applicable to submodular set functions as well as to a wider class of submodular functions defined over certain lattices. We also propose an approach for solving distributed motion-planning problems in discrete state space based on submodular function minimization. We establish through a challenging setup of the capture the flag game that submodular functions over lattices can be used to design artificial potential fields for multiagent systems with discrete inputs. These potential fields are designed such that their minima correspond to desired behaviors, that is, agents are attracted toward their goals and are repulsed from obstacles and from each other for collision avoidance. Finally, we demonstrate that the proposed distributed framework can be employed effectively for generating feasible trajectories in such motion coordination problems.
Angiopoietin-2/Tie2 Signaling in the Microenvironment of Chronic Lymphocytic Leukemia (CLL)

Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults. It is characterized by an accumulation of B-lymphocytes in peripheral blood (PB), bone marrow (BM), lymph nodes (LN) and spleen. Tissue involvement is strongly associated with disease progression and aggressiveness. Angiogenesis is the process of blood vessel generation out of existing ones. Increased angiogenesis in BM of CLL-patients has been associated with advanced disease stage and aggressiveness. Also high levels of the angiogenic factor angiopoietin 2 (Ang2) have been demonstrated to be present in plasma of CLL-patients and to correlate with adverse prognosis. While available data about Ang2 in CLL is solely descriptive, no information is available about the presence and possible functional relevance of the only known Ang2-receptor Tie2 in CLL. This study aimed on a systematic analysis of the Ang2- and Tie2-status of CLL-cells within their different microenvironments as well as cellular components as possible interaction partners through the Ang2/Tie2 axis within these microenvironments. We confirmed expression and secretion of Ang2 in CLL-cells, while Tie2 was absent in PB-derived CLL-cells. CD40L/IL4-stimulation and co-culture with feeder cell lines HS5, NKtert, KUSA or HUVEC improved survival of isolated CLL-cells as expected. At the same time, neither Ang2-secretion, nor Tie2-expression was altered in CLL-cells upon these stimuli. Hypoxia significantly increased Ang2-secretion of CLL-cells, but not Tie2-expression. We detected Tie2 on granulocytes of CLL-patients as well as on healthy volunteers. Interestingly, we identified bone marrow-derived CLL-cells to express Tie2 as well as primary BM-stroma cells. Co-culture with in vitro-differentiated nurse-like cells (NLCs) served as a mimic of the lymph node microenvironment. Neither CLL-cells co-cultured with NLCs, nor NLCs themselves expressed Tie2. Last, we could show that neither co-culture mediated survival advantage, nor survival of monocultured CLL-cells was altered upon blocking of Ang2 by the peptibody AMG386. We conclude, Ang2 may act in an autocrine fashion in BM-associated CLL-cells. Also BM-stroma cells and endothelial cells, due to their positive Tie2-status, represent potential cell types for receiving Ang2 signals in BM. Based on their Tie2-positivity, granulocytes may be potential interaction partners for CLL-cell derived Ang2 in PB. As hypoxia does not lead to increased Tie2-expression in PB-derived CLL-cells, Ang2/Tie2 induction and action may be altered from classical angiogenesis-related signaling. These results considerably contribute to understanding the CLL-cell-microenvironment interaction via the Ang2/Tie2 axis.
Feature Extraction Algorithm for Real Time Object Tracking

Video tracking system raises a wide possibility in today’s society. These systems are be used in various applications such as military, security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in the video tracking system are explored. This paper presents a real time algorithm for video tracking of any moving target with the use of line profile moments within a window filter. The proposed system is suitable for indoor and outdoor applications. Our approach has the advantage of extending the applicability of tracking system and also, as presented here improves the performance of the tracker making feasible high frame rate video tracking. The goal of the tracking system is to analyze the video frames and estimate the position of a part of the input video frame (usually a moving object), our approach can detect and track any moving object and calculate its position. Therefore, the aim of this paper is to construct a motion tracking system for the moving object. Where, at the end of this paper, the detail outcome and results are discussed using experimental results of the proposed technique.
Simulation and analysis of the moist vortex associated with the extreme rain event of Ouagadougou in 2009

This study analyses the mechanisms involved in the formation of a moist meso‐vortex associated with an extreme rain event that occurred in Burkina Faso on 1 September 2009, on the basis of high‐resolution convection‐permitting simulations. After an evaluation of the 6‐day simulation skill to capture the main characteristics of this event, budgets of heat, moisture and relative vorticity are calculated. Results allow us to propose the following scenario for the occurrence of this extreme rain event, completing the large‐scale analysis of the same event performed in the companion article. Firstly, the arrival of a large‐scale wet spell is a key factor, creating a quite unusual wet environment over the Sahel, resulting in weak rain evaporation. As over oceanic regions, it favours intense heating at low levels and thus strong mean ascent and convergence. Secondly, the combination with the arrival of the trough of an African easterly wave provides a second key factor. The associated relative vorticity maximum on the southern flank of the African easterly jet (AEJ) core is boosted by the strong low‐level convergence through the stretching term. The vortex deepening is favoured by the tilting and by eddies at upper levels. Thirdly, in turn the quasi‐balanced vortex circulation brings warm and moist air from the north, favouring the convection triggering to the west of the vortex in the down‐shear direction, in agreement with Raymond and Jiang's theory for long‐lived mesoscale convective systems. This scenario exhibits a positive feedback that could explain its extreme character.
Attitude estimation for collision recovery of a quadcopter unmanned aerial vehicle

An extensive evaluation of attitude estimation algorithms in simulation and experiments is performed to determine their suitability for a collision recovery pipeline of a quadcopter unmanned aerial vehicle. A multiplicative extended Kalman filter (MEKF), unscented Kalman filter (UKF), complementary filter, H ∞ filter, and novel adaptive varieties of the selected filters are compared. The experimental quadcopter uses a PixHawk flight controller, and the algorithms are implemented using data from only the PixHawk inertial measurement unit (IMU). Performance of the aforementioned filters is first evaluated in a simulation environment using modified sensor models to capture the effects of collision on inertial measurements. Simulation results help define the efficacy and use cases of the conventional and novel algorithms in a quadcopter collision scenario. An analogous evaluation is then conducted by post-processing logged sensor data from collision flight tests, to gain new insights into algorithms’ performance in the transition from simulated to real data. The post-processing evaluation compares each algorithm’s attitude estimate, including the stock attitude estimator of the PixHawk controller, to data collected by an offboard infrared motion capture system. Based on this evaluation, two promising algorithms, the MEKF and an adaptive H ∞ filter, are selected for implementation on the physical quadcopter in the control loop of the collision recovery pipeline. Experimental results show an improvement in the metric used to evaluate experimental performance, the time taken to recover from the collision, when compared with the stock attitude estimator on the PixHawk (PX4) software.
SENTIMENT ANALYSIS AND CLASSIFICATION OF TWEETS BASED ON IDEOLOGIES

In this paper, we use data mining and sentiment analysis techniques to classify the tweets based on different ideologies i.e. Secularism, Liberalism, Communalism, Socialism and Casteism. To analyze our model, we used tweets from three sources namely generic Indian tweets, a specific user profile tweet and tweets of particular hashtags.The tweets are fetched using Twitter API. The fetched data is preprocessed by analyzing structure of tweets to find interesting analysis like most retweeted tweet, most favorited tweets, trending hashtags etc. Then tweets are tokenized and POS (parts of speech) tagging is done on tokens to find nouns, verbs, adverbs and adjectives which are relevant for the analysis.We apply various relevance models on the data, to find sentiment of each tweet and ideological stance of the user. The results are shown using spider graph. It was observed that the model worked with 73% accuracy.
Electric-field control and noise protection of the flopping-mode spin qubit

We propose and analyze a novel "flopping-mode" mechanism for electric dipole spin resonance based on the delocalization of a single electron across a double quantum dot confinement potential. Delocalization of the charge maximizes the electronic dipole moment compared to the conventional single dot spin resonance configuration. We present a theoretical investigation of the flopping-mode spin qubit properties through the crossover from the double to the single dot configuration by calculating effective spin Rabi frequencies and single-qubit gate fidelities. The flopping-mode regime optimizes the artificial spin-orbit effect generated by an external micromagnet and draws on the existence of an externally controllable sweet spot, where the coupling of the qubit to charge noise is highly suppressed. We further analyze the sweet spot behavior in the presence of a longitudinal magnetic field gradient, which gives rise to a second order sweet spot with reduced sensitivity to charge fluctuations.