Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Quantifier of High‐Dimensional Frequency Entanglement through Hong–Ou–Mandel Interference

High‐dimensional frequency entanglement is an enabling resource in quantum technology due to its high information capacity and error resilience. A concise yet efficient method for precisely quantifying its dimensionality remains an open challenge, owing to the difficulties for performing required superposition measurements in energy‐time domains, and the complexity associated with full quantum state tomography that scales unfavorably with dimensions. With the assistance of Hong–Ou–Mandel experiment that performs a Fourier transform between the entangled photons in terms of joint spectral intensities and the quantum interference in terms of biphoton temporal coincidences, the concept of Shannon dimensionality as a fast quantifier of bipartite continuous frequency entanglement is unlocked. This quantitative technique reveals the complete distribution of frequency entanglement but without suffering from any limitation of modal capacity of the detection geometry. These results may significantly facilitate the use of quantum interference for characterizing the high‐dimensional entanglement nature by avoiding some stringent conditions.
A study of magnetospheric boundary layers by Cluster

In this thesis, the spacecraft potential measured by the EFW instrument on Cluster has been used to map the plasma density distribution of the magnetosphere. A relation between the spacecraft potential and the plasma density has been established and three years of data have been binned to obtain a 3D image of the density distribution. Boundaries like the bow shock, the magnetopause, the plasmapause and the plasma sheet boundary layer (PSBL) are identifiable in this image. The identification of the PSBL has been used to determine plasma sheet thicknesses. By assuming that the plasma sheet is symmetric about the neutral sheet and that the sheet position is known, the half thickness has been estimated for each PSBL crossing. A simplified method based on the dipole tilt angle has been used to determine the neutral sheet position relative to the GSM x-axis. On average the plasma sheet half thickness was found to be 4.73RE. There is, however a large spread in the data as the plasma sheet half thickness can take any values from 0RE to 12RE. A statistical comparison of IMF Bz and the plasma sheet thickness has given a positive correlation of about 0.5 which indicates a trend as expected. However, the poor correlation against parameters like solar wind pressure and the energy input (epsilonparameter), and the large spread in data, may indicate that internal processes of the magnetosphere may govern the tail dynamics/reconnection. More work is needed to make this conclusive.
Effectiveness of preprocessing strategies for work hours prediction based on machine learning model

Under the development of society, labor problems are increasingly concerning people. Workers try to figure out whether the salary and work hours set by their employers are fair. Additionally, companies also need to offer reasonable salaries and work hours to their workers to avoid disputes. Although there are a lot of studies conducted to do the prediction of salary and explore the best algorithm for the prediction, the research about work hours prediction and detecting other factors influencing the prediction are still deficient. This research applies linear regression to a dataset to predict work hours. Meanwhile, different methods of data pre-processing are also utilized to detect their effect on the regression. It can be discovered from the study that the prediction of work hours is feasible and linear regression can be leveraged for doing so. Meanwhile, different data pre-processing also influence the result of the regression, and one-hot encoding performs better than label encoding. Also, dropping features of the dataset seems to affect a lot when the features are not too many. The model using one-hot encoding and not dropping columns has the lowest Mean Square Error (MSE) of about 98.2, while other models all have MSE over 100. In conclusion, the study provides a baseline for work hours prediction and gives other methods to improve the accuracy of prediction besides finding the best algorithm.
Colorectal Cancer Diagnostic Methods: The Present and Future

To meet the needs of the colorectal cancer (CRC) patient population, colorectal cancer screening is continuously updated. The most significant advice is to start CRC screening exams at age 45 for people at average risk for CRC. CRC testing is divided into two categories: stool-based tests and visual inspections. High-sensitivity guaiac-based fecal occult blood testing, fecal immunochemical testing, and multitarget stool DNA testing are stool-based assays. Colon capsule endoscopy and flexible sigmoidoscopy are visualization examinations. There have been arguments about the importance of these tests in detecting and managing precursor lesions because of the lack of validation of screening results. Recent advancements in artificial intelligence and genetics have prompted the creation of newer diagnostic tests, which require validation in diverse populations and cohorts. In this article, we have discussed the present and emerging diagnostic tests.
Design and experimentation of an observer-based linear adaptive control applied to an electropneumatic actuator

This study proposes an observer-based linear adaptive control scheme for the position control of a pneumatic actuator system. The proposed controller does not rely on a physical model of the pneumatic actuator system to be controlled; it only needs the position measurement for its implementation, which is really a novelty in the field of such applications. First, based on the implicit function theory, the existence of an ideal position controller is demonstrated. Then, the objective is to construct this unknown ideal position controller using a linear control with a stable adaptation law and an extended observer. This latter is used to estimate both the tracking error vector and an unknown function of the error between the implicit ideal control and the actual control which is used in the adaptation mechanism. The stability of the overall closed-loop system is studied by using singular perturbation theory and Tikhonov's theorem. Finally, real-time experimental results are provided to show the performances of the proposed control scheme.
Semi-analytic path integral solution of SABR and Heston equations: pricing Vanilla and Asian options

We discuss a semi-analytical method for solving SABR-type equations based on path integrals. In this approach, one set of variables is integrated analytically while the second set is integrated numerically via Monte-Carlo. This method, known in the literature as Conditional Monte-Carlo, leads to compact expressions functional on three correlated stochastic variables. The methodology is practical and efficient when solving Vanilla pricing in the SABR, Heston and Bates models with time depending parameters. Further, it can also be practically applied to pricing Asian options in the $\beta=0$ SABR model and to other $\beta=0$ type models.
Solução das equações de Navier-Stokes para fluidos incompressíveis via elementos finitos

The study of the Navier-Stokes equations arouses interest of researchers in the area of numerical analysis, since from these one can determine the velocity and pressure elds of a ow. These equations approach aerodynamic coe cients, a fact of great interest in the aeronautical and automotive industries. Therefore, we propose to study an approximation of the Navier Stokes equations through the nite element method, which has shown to be a good method for solving problems involving uids. We study methods of linearizing the convective term, and present three methods for time discretization. Through error analysis and convergence rates for problems with known exact solution, we compare di erent spatial and time discretization methods. By calculating the drag and lift coe cients around a cilinder we con rm the e ectiveness of the Leray-deconvolution model in comparison to direct simulation (DNS) for solving problems with coarser meshes.
Fluctuations in and out of equilibrium: Thermalization, quantum measurements and Coulomb disorder

This purely theoretical thesis covers aspects of two contemporary research fields: the non-equilibrium dynamics in quantum systems and the electronic properties of three-dimensional topological insulators. In the first part we investigate the non-equilibrium dynamics in closed quantum systems. Thanks to recent technologies, especially from the field of ultracold quantum gases, it is possible to realize such systems in the laboratory. The focus is on the influence of hydrodynamic slow modes on the thermalization process. Generic systems in equilibrium, either classical or quantum, in equilibrium are described by thermodynamics. This is characterized by an ensemble of maximal entropy, but constrained by macroscopically conserved quantities. We will show that these conservation laws slow down thermalization and the final equilibrium state can be approached only algebraically in time. When the conservation laws are violated thermalization takes place exponential in time. In a different study we calculate probability distributions of projective quantum measurements. Newly developed quantum microscopes provide the opportunity to realize new measurement protocols which go far beyond the conventional measurements of correlation functions. The second part of this thesis is dedicated to a new class of materials known as three-dimensional topological insulators. Also here new experimental techniques have made it possible to fabricate these materials to a high enough quality that their topological nature is revealed. However, their transport properties are not fully understood yet. Motivated by unusual experimental results in the optical conductivity we have investigated the formation and thermal destruction of spatially localized electron- and hole-doped regions. These are caused by charged impurities which are introduced into the material in order to make the bulk insulating. Our theoretical results are in agreement with the experiment and can explain the results semi-quantitatively. Furthermore, we study emergent lengthscales in the bulk as well as close to the conducting surface.
The intersection of an entire holomorphic mapping and a complex Monge-Ampère current with a bounded potential

In this paper, we study the intersection of an entire holomorphic mapping and a complex Monge-Amp`ere current with a bounded potential. By using our results, we show a suﬃcient condition involving order functions of an entire holomorphic mapping such that the complement of its image is a pluripolar set.
Bayesian Variable Selection for Predictively Optimal Regression

A method for sequential Bayesian inference of the static parameters of a dynamic state space model is proposed. The method uses filtering and prediction distribution approximations such as the extended and unscented Kalman filters; any other valid approximation can also be used. The method computes the posterior distribution on a discrete grid that tracks the support dynamically. Simulation studies show that the method provides a good trade off between computation speed and accuracy, relative to the integrated nested Laplace approximation and a particle filter, in examples of both non-linear and non-Gaussian models.
Is the blue-spotted phenotype more widespread in the eastern slow worm Anguis colchica (Nordmann, 1840) than the western slow worm Anguis fragilis Linnaeus, 1758 and does it correlate with the male body size? A case study from Central Europe

The blue-spotted phenotype in a slow worm can be considered as an alternative colour morph or a secondary sexual characteristic. This phenotype is known to entail an elevated predation risk; thus, its continuous presence in a population must be balanced by additional and positive fitness consequences. In this study, we show that blue-spotted males are characterised by a greater snout-vent length (SVL) than typical specimens. Importantly, the SVL of blue-spotted males reaches the magnitude of the average female size. This indicates that the presence of blue spots may involve a correlated positive effect on growth and body size. The greater body size of the blue-spotted males could enhance their survival and mating success, and thus facilitate the continued presence of a high fraction of this morph within the population. In addition, we found that the blue-spotted phenotype is more common in the eastern than the western slow worm, and the proposed fitness consequences of the blue-spotted phenotype might enhance its tendency to spread in the eastern Anguis lineage.
Quasikonforme Abbildungen und logarithmische Kapazität

© Annales de l’institut Fourier, 1950, tous droits réservés. L’accès aux archives de la revue « Annales de l’institut Fourier » (http://annalif.ujf-grenoble.fr/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Prevalence, Contamination Level, and Associated Factors of Methicillin-Resistant Staphylococcus aureus in Raw Cow Milk at Selected Districts of Gamo Zone, Southern Ethiopia

Staphylococcus aureus is pathogenic bacterium contaminating milk and milk products causing bacterial food poisoning. In the current study sites, there is no information on methicillin-resistant Staphylococcus aureus. Thus, the current study sought to assess the risk factors that contribute to the contamination of raw cow milk, the bacterial load, and the prevalence of methicillin-resistant Staphylococcus aurous. A cross-sectional study was conducted, January to December, 2021, on randomly selected 140 milk samples from selling point of Arba Minch Zuria and Chencha districts. Fresh milk samples were processed and tested for bacterial load, bacterial isolation, and methicillin susceptibility patterns. Questionnaire survey was conducted on 140 producers and collectors to assess hygienic factors attributed to contamination of raw cow milk with Staphylococcus aureus. The overall prevalence of S. aureus was 42.1% (59/140) (95% confidence interval (CI): 34.80–51.40%). About 15.6% (22/140) of the milk samples assessed had the viable count and total S. aureus count higher than 5log cfu/mL with 5.3 + 1.68 and 1.36 + 1.7log cfu/ml−1 bacterial loads, respectively. The rate of isolation of S. aureus was significantly high in milk from highland than lowland (p=0.030). The multivariable logistic regression revealed that educational status (OR: 6.00; 95% CI: 4.01–8.07), picking one's nose while working on milk (OR: 1.41; 95% CI: 0.54–2.25), cleaning the milk can (OR: 4.5; 95% CI: 2.61–5.17), hand washing activities (OR: 3.4; 95% CI: 1.670–6.987), check for abnormal milk (OR: 2; 95% CI: 1.55–2.75), and container for milk (OR: 3; 95% CI: 0.12–0.67) were risk factors significantly associated with the occurrence of S. aureus in milk. In conclusion, the highest rate of resistance was observed to ampicillin (84.7%) and cefoxitin (76.3%). All isolates are resistant to at least two types of antimicrobial drugs, while 65.0% of the isolates were found to be multidrug-resistant. The higher prevalence, high load, and antimicrobial resistance of S. aureus indicate the higher public health risk due to the widespread consumption of raw milk in the area. Furthermore, consumers in the study area should be aware of the risks associated with consuming raw milk.
Approximate modelling of the leftward flow and morphogen transport in the embryonic node by specifying vorticity at the ciliated surface

Abstract In this paper, we have developed an approximate method for modelling the flow of embryonic fluid in a ventral node. We simplified the problem as flow in a two-dimensional cavity; the effect of rotating cilia was modelled by specifying a constant vorticity at the edge of the ciliated layer. We also developed an approximate solution for morphogen transport in the nodal pit. The solutions were obtained utilizing the proper generalized decomposition (PGD) method. We compared our approximate solutions with the results of numerical simulation of flow caused by the rotation of 81 cilia, and obtained reasonable agreement in most of the flow domain. We discuss locations where agreement is less accurate. The obtained semi-analytical solutions simplify the analysis of flow and morphogen distribution in a nodal pit.
Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network Dengan Arsitektur VGG-19

Penelitian ini mengangkat topik terkait dengan klasifikasi dengan menggunakan objek penyakit mata pada manusia. Penelitian ini menggunakan dua pilihan optimizer yaitu SGD dan Adagrad. Data yang digunakan sebanyak 601 citra yang terdiri dari 430 citra latih, 50 citra validasi, dan 121 citra uji dengan total 4 kelas. Metode yang digunakan pada penelitian ini adalah metode Convolutional Neural Network (CNN) dengan arsitektur VGG-19, dengan input berupa citra yang telah melalui proses preprocessing yaitu resize dan metode CLAHE (Contrast Limited Adaptive Histogram Equalization) dari citra penyakit mata. Skenario pengujian terdiri dari 8 skenario dengan Optimizer dan ClipLimit yang berbeda-beda. Hasil pengujian tertinggi didapatkan pada skenario pertama yaitu dengan menggunakan optimizer Adagrad dan clipLimit sebesar 1,0 dengan nilai accuracy yang didapatkan sebesar 65,29%, precision sebesar 66,53%, recall sebesar 65,29%, dan f1-score sebesar 65,40%.
Historical assessment and future projection of extreme precipitation in CMIP6 models: Global and continental

In this study, the new gridded daily precipitation dataset REGEN (Rainfall Estimates on a Gridded Network) was used to verify the performance of 23 global climate models participating in the 6th phase of the Coupled Model Intercomparison Project (CMIP6) in terms of extreme precipitation over global and continents during 1950–2014. Projected changes were also evaluated using CMIP6 multi‐model ensemble (MME) under different Shared Socioeconomic Pathway (SSP) by the end of the 21st century. Although positive biases exist in the climatology of most extreme precipitation indices simulated by the CMIP6 MME compared with observations, most of the CMIP6 models can reproduce the spatial distribution characteristics and temporal evolution trends of global extreme precipitation. The simulation is improved by using the CMIP6 MME, relative to the results from individual models. The projected results showed that in most regions of the world, extreme precipitation will significantly increase in the future, with more significant increase under higher SSPs. By the end of the 21st century, total precipitation of wet days (PRCPTOT), simple daily intensity (SDII), the number of very heavy rain days (R20mm), maximum 1‐day precipitation (Rx1day) and maximum consecutive 5‐day precipitation (Rx5day) over the global will increase by up to 50%, 20%, 70%, 50% and 50%, respectively, under the SSP5‐8.5 scenario. Nevertheless, marked uncertainties exist in the projection of extreme precipitation in South America and in the global for consecutive dry days (CDD) index. Noteworthy, average PRCPTOT, Rx1day and Rx5day over Asia, Europe and North America, as well as of the whole world, have significantly increased where the CDD index is also higher, shown by projected results. In summary, global extreme precipitation will increase in the future, and precipitation will become more uneven in space and time. Moreover, as the SSP scenario becomes higher, the uneven distribution of precipitation will become more pronounced.
A prospective contralateral eye comparison of the tolerability of two artificial tears with different physical properties in patients with dry eye disease

Background: Artificial tears (ATs) are widely used in ophthalmic practice with various formulations, mainly as a treatment for dry eye, owing to their rapid ability to alleviate the signs and symptoms of this condition. We aimed to investigate drop comfort and subjective ocular symptoms after instillation of the following ATs with different physical properties: Optive® non-preservative (OUD) and Systane® Hydration non-preservative (SHUD). Methods: This was a prospective, double-blind, randomized, contralateral eye comparison study. A rheometer and a digital pH meter were used to evaluate the viscosity and pH of both ATs prior to instillation. We recruited 36 patients with dry eye disease. Single standardized AT volumes were set using a micropipette for all patients. Ocular discomfort was assessed using the Ora Calibra™ Ocular Discomfort and 4-Symptom Questionnaire (OOD4SQ; 0 – 5 scale) before and 60 min after instillation. Drop comfort was assessed using the Ora Calibra™ Drop Comfort Scale (0 – 10 scale) immediately after AT instillation. The difference in the drop comfort score (DCS) between the two ATs and ocular discomfort scores using OOD4SQ before and 60 min after instillation of each AT were recorded and compared. Results: The viscosities and pH of SHUD and OUD were 32.73 centipoise (cP) and 7.74 and 14.42 cP and 7.19, respectively. The mean (standard deviation) DCS was higher in the SHUD group than in the OUD group (1.83 [1.21] versus 1.67 [1.12]); however, the difference was not statistically significant (P > 0.05). There was a significant reduction in all parameters of OOD4SQ including overall discomfort, burning, dryness, grittiness, and stinging 60 min after OUD instillation (all P < 0.05), while a significant difference was only noted in dryness (P < 0.05) in the SHUD group. Conclusions: OUD, which has a lower viscosity and pH compared to SHUD, provides less subjective sensation and better ocular comfort 60 min after instillation. Further randomized clinical trials including patients with dry eye disease of different severities, larger sample sizes, and longer follow-up periods are required to verify our findings.
A partitioned Newton method for the interaction of a fluid and a 3D shell structure

We propose a new fluid-structure algorithm based on a domain decomposition paradigm. The method is based on the principle “linearize first, then decompose” whereas the usual schemes are generally “nonlinear in subdomains”. The proposed approach is more attractive when the complexity of the structure is high, which is the case with the structural model used in this study (nonlinear 3D shell). Another contribution of this paper is to investigate the use of a Neumann-Neumann preconditioner for the linearized problem. In particular, it is shown that when this preconditioner is adequately balanced, it tends to the Dirichlet-Neumann preconditioner because of the heterogeneity of the fluid-structure problem.
Periapical Lesion: A Single-Sitting Root Canal Treatment

The aim of root canal treatment is to disinfect the root canal completely and prevent the progression of any periapical infection. Surgical treatment of periapical lesions is associated with many complications and challenges. This article describes the management of a periapical lesion of the right lower premolar in a single-visit root canal procedure using Metapex. The patient was observed for one week for any incidences of flare-ups.