Miracle-dz/UniFAR-FTUs huggingface dataset:
Stress and burnout in emergency nurses at a reference hospital in emergency and trauma

Objective: to investigate the correlation between stress and Burnout in nurses working in a trauma emergency room in Belo Horizonte. Method: a cross-sectional, descriptive, quantitative study with 46 emergency nurses, based on the Job Stress Scale, the Maslach Burnout Inventory and a socio-demographic record. Results: a total of 65.22% of nurses had high psychological demand. In the Demand-control Model, 34.78% of the nurses were in work activity and 30.43% were under high stress, causing harmful effects on health. As for Burnout, 23.91% had high emotional distress, 21.74% had high depersonalization, 28.26% had low professional fulfillment, and three nurses were in Burnout. Conclusion: there is a correlation between stress and Burnout. Nurses are exposed to a highly stressful work environment, conducive to the development of Burnout. It is necessary to implement strategies aimed at coping with stress, preventing Burnout, in addition to treating those who are already ill.
Hypergeometric functions and mirror symmetry in toric varieties

We study aspects related to Kontsevich's homological mirror symmetry conjecture in the case of Calabi-Yau complete intersections in toric varieties. In a 1996 lecture at Rutgers University, Kontsevich indicated how his proposal implies that the groups of automorphisms of the two types of categories involved in the homological mirror symmetry conjecture should also be identified. Our main results provide an explicit geometric construction of the correspondence between the automorphisms of the two types of categories.
An automated workflow for label-free and multiplexed single cell proteomics sample preparation at unprecedented sensitivity.

The analysis of single cell proteomes has recently become a viable complement to transcript and genomics studies. Proteins are the main driver of cellular functionality and mRNA levels are often an unreliable proxy of such. Therefore, the global analysis of the proteome is essential to study cellular identities. Both multiplexed and label-free mass spectrometry-based approaches with single cell resolution have lately attributed surprising heterogeneity to believed homogenous cell populations. Even though specialized experimental designs and instrumentation have demonstrated remarkable advances, the efficient sample preparation of single cells still lacks behind. Here, we introduce the proteoCHIP, a universal option for single cell proteomics sample preparation at surprising sensitivity and throughput. The automated processing using a commercial system combining single cell isolation and picoliter dispensing, the cellenONE®, allows to reduce final sample volumes to low nanoliters submerged in a hexadecane layer simultaneously eliminating error prone manual sample handling and overcoming evaporation. With this specialized workflow we achieved around 1,000 protein groups per analytical run at remarkable reporter ion signal to noise while reducing or eliminating the carrier proteome. We identified close to 2,000 protein groups across 158 multiplexed single cells from two highly similar human cell types and clustered them based on their proteome. In-depth investigation of regulated proteins readily identified one of the main drivers for tumorigenicity in this cell type. Our workflow is compatible with all labeling reagents, can be easily adapted to custom workflows and is a viable option for label-free sample preparation. The specialized proteoCHIP design allows for the direct injection of label-free single cells via a standard autosampler resulting in the recovery of 30% more protein groups compared to samples transferred to PEG coated vials. We therefore are confident that our versatile, sensitive, and automated sample preparation workflow will be easily adoptable by non-specialized groups and will drive biological applications of single cell proteomics.
Second order nonlinear oscillations

where q(x) ^ 0 and 7 > 0 . Here we are interested in the determination of sufficient conditions for the existence of a t least one oscillatory solution, and also in the complementary problem, i.e., the determina› tion of conditions which guarantee the nonexistence of oscillatory solutions of (1). The problem of oscillation and nonoscillation of solutions of equa› tions (1) and (2) has been of great interest in recent years; we refer the reader to [7] for a current survey of the literature on this subject. In most of these studies, it is convenient to subdivide the discussion according to the nonlinear character of equation (2). We say tha t equation (2) is in the sublinear case if y â 1 and it is in the superlinear case if 7 ^ 1. More generally, one says tha t equation (1) is in the sublinear case if F(t, x) is monotone decreasing in t and it is in the superlinear case if F(t, x) is monotone nondecreasing in /. Results in the same direction as ours may be found in Belohorec [ l ] for equation (2) when 7 < 1 , and in Jasny [3], Kurzweil [5], Kiguradze [4], and Nehari [ó] for equation (2) when y > 1. For the more general equation (1), the superlinear case has been considered in Nehari [ó], and in Coffman and Wong [2], bu t as far as we know the corresponding sublinear case has not been investigated. In the present work, we attemp t to present a unified treatment for the study of this specific oscillation problem both in the sublinear and the superlinear case. The main results include oscillation and nonoscillation theorems for both of the two classes of equation (1) and contain as special cases all of the results cited above. In fact, in the process of this generalization
Experimental three-dimensional thermal mapping of a GaN on RF-SOI chip

We present a novel method to determine the three-dimensional (3D) temperature field of a radio frequency (RF) chip based on a 3D heterogeneous integration of GaN HEMT and RF-SOI technologies combining the advantages of both. It is composed of a stack of multiple layers of different materials on top of a SOI substrate. A RF GaN transistor is located at the top of the stack and acts as a heat source. We use several resistance temperature detectors (RTDs) embedded at different key locations in the stack coupled to an infrared (IR) thermography. When combined to a 3D numerical model, such methodology enables us to extract the necessary information in order to retrieve the temperature 3D distribution in the whole sample.
The Impact of Grading on Student Motivation and Learning Outcome in Project-Based Learning

This paper examines the impact of extrinsic motivational factors such as grading on student motivation and on their perception of learning in the context of project-based learning. The analysis is based on collecting data from a control-group (N=47) and a test group (N=52). Both groups were exposed to the same type of assignment and expectation except that the project assignment in the test group counted for 40% of the total grade in the subject. Analytical and descriptive statistical methods were then used to compare the results from the two groups. The preliminary results suggest that grading as extrinsic motivational factor has no significant impact on student motivation. This result may further support the perception that project-based learning assignments by nature sustain student motivation. That is introducing grading or any other forms of reward does not impact student motivation. The results further indicate that grading improves significantly student perception of own learning.
On the divisors of x^n-1 in F_p[x]

In a recent paper, we considered integers n for which the polynomial x^n - 1 has a divisor in Z[x] of every degree up to n, and we gave upper and lower bounds for their distribution. In this paper, we consider those n for which the polynomial x^n-1 has a divisor in F_p[x] of every degree up to n, where p is a rational prime. Assuming the validity of the Generalized Riemann Hypothesis, we show that such integers n have asymptotic density 0.
X-Ray Impact on Advanced High Voltage BCD Technology Platform

The impact of x-ray on high voltage devices of a commercial 0.11 µm BCD platform is studied. These components are exposed to different radiation doses, from 50 to 1000 Gy. A strong dependence of the Breakdown Voltage (BVDSS) versus the radiation dose has been measured. The impact is fully correlated with the drain doping profile: this is the typical behavior of Reduced Surface Field (ReSurF) devices. X-Ray impact is electrically equivalent to an additional negative fixed charge located inside the drain of the component. This is valid for both n-channel and p-channel devices, suggesting a viable approach to strengthen device performance through proper device engineering. Moreover, the impact of metal layers used as device shield are studied.
Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation

Semantic segmentation based on deep learning has achieved impressive results in recent years, but these results are supported by a large amount of labeled data, which requires intensive annotation at the pixel level, particularly for high-resolution remote sensing (RS) images. In this work, we propose a simple yet efficient semisupervised learning framework based on linear sampling (LS) self-training, named LSST, to improve the performance of RS image semantic segmentation. Specifically, the classical pseudolabeling-based self-training paradigm is enhanced by injecting strong data augmentations (SDAs) applicable to RS images, based on which a powerful baseline is constructed. Nevertheless, the problem of insufficient data training to generate pseudolabels with a high level of noise persists, and the noisy pseudolabels will continue to accumulate and impede model improvement during the retraining phase. Previous works commonly employ a predefined threshold to remove noise, but it will lead to overfitting the model to easily identified classes. To address it, a method using LS is presented for assigning thresholds to different classes in an adaptive manner, which provides noiseless regions for retraining. Experiments prove that the proposed pixelwise selection is more available for segmentation than image-level selection in RS images. Finally, LSST achieves state of the art on several datasets and different evaluation metrics. The source code of this article is available at https://github.com/xiaoqiang-lu/LSST.
Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm

Abstract. The expectation‐maximization (EM) algorithm is a popular approach for obtaining maximum likelihood estimates in incomplete data problems because of its simplicity and stability (e.g. monotonic increase of likelihood). However, in many applications the stability of EM is attained at the expense of slow, linear convergence. We have developed a new class of iterative schemes, called squared iterative methods (SQUAREM), to accelerate EM, without compromising on simplicity and stability. SQUAREM generally achieves superlinear convergence in problems with a large fraction of missing information. Globally convergent schemes are easily obtained by viewing SQUAREM as a continuation of EM. SQUAREM is especially attractive in high‐dimensional problems, and in problems where model‐specific analytic insights are not available. SQUAREM can be readily implemented as an ‘off‐the‐shelf’ accelerator of any EM‐type algorithm, as it only requires the EM parameter updating. We present four examples to demonstrate the effectiveness of SQUAREM. A general‐purpose implementation (written in R) is available.
On the Critical Behavior of a Homopolymers Model

Taking $P^0$ to be the measure induced by simple, symmetric nearest neighbor continuous time random walk on ${\bf{Z^d}}$ starting at $0$ with jump rate $2d$ define, for $\beta\ge 0,\,t>0,$ the Gibbs probability measure $P_{\beta,t}$ by specifying its density with respect to $P^0$ as \begin{eqnarray} \frac{dP_{\beta,t}}{dP^0}=Z_{\beta,t}(0)^{-1}e^{\beta \int_0^t\delta_0(x_s)ds} \end{eqnarray} where $Z_{\beta,t}(0)\equiv E^0[e^{\beta \int_0^t\delta_0(x_s)ds}]. $ This Gibbs probability measure provides a simple model for a homopolymer with an attractive potential at the origin. In a previous paper \cite{CM07}, we showed that for dimension $d\ge3$ there is a phase transition in the behavior of these paths from diffusive behavior for $\beta$ below a critical parameter to positive recurrent behavior for $\beta$ above this critical value. This corresponds to a transition from a diffusive or stretched out phase to a globular phase for the polymer. The critical value was determined by means of the spectral properties of the operator $\Delta+\beta\delta_0$ where $\Delta$ is the discrete Laplacian on ${\bf{Z^d}}. $ In this paper we give a description of the polymer at the critical value where the phase transition takes place. The behavior at the critical parameter is in some sense midway between the two phases and dimension dependent.
Invariance principle for `push' tagged particles for a Toom Interface

In many interacting particle systems, tagged particles move diffusively upon subtracting a drift. General techniques to prove such `invariance principles' are available for reversible processes (Kipnis-Varadhan) and for non-reversible processes in dimension $d>2$. The interest of our paper is that it considers a non-reversible one-dimensional process: the Toom model. The reason that we can prove the invariance principle is that in this model, push-tagged particles move manifestly slower than second-class particles.
Rational approximation to values of G-functions, and their expansions in integer bases

We prove a general effective result concerning approximation of irrational values at rational points a / b of any G-function F with rational Taylor coefficients by fractions of the form $$n/(B\cdot b^m)$$n/(B·bm), where the integer B is fixed. As a corollary, we show that if F is not in $$\mathbb Q(z)$$Q(z), for any $$\varepsilon >0$$ε>0 and any b and m large enough with respect to a, $$\varepsilon $$ε and F, then $$|F(a/b)-n/b^m|\ge 1/b^{m(1+\varepsilon )}$$|F(a/b)-n/bm|≥1/bm(1+ε) and $$F(a/b)\notin \mathbb Q$$F(a/b)∉Q. This enables us to obtain a new and effective result on repetition of patterns in the b-ary expansion of $$F(a/b^s)$$F(a/bs) for any $$b\ge 2$$b≥2. In particular, defining $$\mathcal {N}(n)$$N(n) as the number of consecutive equal digits in the b-ary expansion of $$F(a/b^s)$$F(a/bs) starting from the n-th digit, we prove that $$\limsup _n \mathcal {N}(n)/n\le \varepsilon $$lim supnN(n)/n≤ε provided the integer $$s\ge 1$$s≥1 is such that $$b^s$$bs is large enough with respect to a, $$\varepsilon > 0$$ε>0 and F. This improves over the previous bound $$1+\varepsilon $$1+ε, that can be deduced from the work of Zudilin. Our crucial ingredient is the use of non-diagonal simultaneous Padé type approximants for any given family of G-functions solution of a differential system, in a construction à la Chudnovsky-André. This idea was introduced by Beukers in the particular case of the function $$(1-z)^\alpha $$(1-z)α in his study of the generalized Ramanujan–Nagell equation, and we use it in its full generality here. In contrast with the classical Diophantine “competition” between E-functions and G-functions, similar results are still not known for a single transcendental value of an E-function at a rational point, not even for the exponential function.
Rotating Instability in an Annular Cascade: Detailed Analysis of the Instationary Flow Phenomena

Rotating instability (RI) occurs at off-design conditions in compressors, predominantly in configurations with large tip or hub clearance ratios of s* �> 3%. RI is the source of the blade tip vortex noise and a potential indicator for critical operating conditions like rotating stall and surge. The objective of this paper is to give more physical insight into the RI phenomenon using the analysis results of combined near-field measurements with high-speed particle image velocimetry (PIV) and unsteady pressure sensors. The investigation was pursued on an annular cascade with hub clearance. Both the unsteady flow field next to the leading edge as well as the associated rotating pressure waves were captured. A special analysis method illustrates the characteristic pressure wave amplitude distribution, denoted as “modal events” of the RI. Moreover, the slightly adapted method reveals the unsteady flow structures corresponding to the RI. Correlations between the flow profile, the dominant vortex structures, and the rotating pressure waves were found. Results provide evidence to a new hypothesis, implying that shear layer instabilities constitute the basic mechanism of the RI.
Newton’s second law, radiation reaction and type II Einstein–Maxwell fields

Considering perturbations of the Reissner–Nordström metric while keeping the perturbations in the class of type II Einstein–Maxwell metrics, we perform a spherical harmonic expansion of all the variables up to the quadrupole term. This leads to rather surprising results. Referring to the source of the metric as a type II particle (analogous to referring to a Schwarzschild–Reissner–Nordström or Kerr–Newman particle), we see immediately that the Bondi momentum of the particle takes the classical form of mass times velocity plus an electromagnetic radiation reaction term, while the Bondi mass loss equation becomes the classical gravitational and electromagnetic (electric and magnetic) dipole and quadrupole radiation. The Bondi momentum loss equation turns into Newton’s second law of motion containing the Abraham–Lorentz–Dirac radiation reaction force plus a momentum recoil (rocket) force, while the reality condition on the Bondi mass aspect yields the conservation of angular momentum. Two things must be pointed out: (1) these results, (equations of motion, etc) take place, not in the spacetime of the type II metric but in an auxiliary space referred to as -space, whose physical meaning is rather obscure and (2) this analysis of the type II field equations is a very special case of a similar analysis of the general asymptotically flat Einstein–Maxwell equations. Although the final results are similar (though not the same), the analysis uses different equations (specifically, the type II field equations) and is vastly simpler than the general case. Without a great deal of the technical structures needed in the general case, one can see rather easily where the basic results reside in the type II field equations.
Generalization of Bertrand's Postulate and Upper Bounds on the Number of Primes in Certain Intervals

In this paper, we have proved the Generalization of Bertrand's Postulate and the Conjecture from Mitra et al.'s work [Arxiv 2011] on the upper bound on the number of primes in the interval $(n, kn)$ for all $k \geq 1, n\geq 1$. We have also constructed a gap in which there exists a prime $p$, and this gap is smaller than the gap stated in Bertrand's Postulate [Journal of the Royal Polytechnic School, 1845] or J Nagura's Theorem [The Japan Academy, 1952], for large positive integers.
Local Malliavin calculus for Lévy processes and applications

The Malliavin derivative operator for the Poisson process introduced by Carlen and Pardoux [Differential calculus and integration by parts on a Poisson space, in Stochastics, Algebra and Analysis in Classical and Quantum Dynamics, S. Albeverio et al. (eds), Kluwer, Dordrecht, 1990, pp. 63–73] is extended to Lévy processes. It is a true derivative operator (in the sense that it satisfies the chain rule), and we deduce a sufficient condition for the absolute continuity of functionals of the Lévy process. As an application, we analyse the absolute continuity of the law of the solution of some stochastic differential equations with jumps.
Influence of Rotor Slot Wedge Materials on Rotor Losses of Turbogenerator During Loss of Excitation

A short period of steady-state asynchronous operation after loss of excitation can improve the reliability of turbogenerator. The rotor damping structure of the turbogenerator can provide asynchronous torque and, thus, play an important role in improving the asynchronous operating ability. The rotor slot wedges as a part of rotor damping structure often made of aluminum, beryllium bronze, or stainless steel. The different materials of the rotor slot wedges can affect not only the asynchronous operating ability of the turbogenerator but also the rotor losses. The selection of material for the rotor slot wedges is therefore a key factor that should be carefully considered in the design of turbogenerator. In this article, the effect of the rotor slot wedges made of different materials on the asynchronous operating ability, rotor loss densities, and loss distributions of the turbogenerator after loss of excitation is investigated by time-stepping finite element model. The variations of the asynchronous operating ability and the rotor losses are revealed along with the rotor slot wedge conductivity. The rotor regions where the losses are significantly affected by the rotor slot wedge material are obtained. The results provide theoretic basis for improvement of the asynchronous operating ability and reduction of the rotor loss of turbogenerator.
Underwater Object Detection Aided by Image Reconstruction

Underwater object detection plays an important role in a variety of marine applications. However, the complexity of the underwater environment (e.g. complex background) and the quality degradation problems (e.g. color deviation) significantly affect the performance of the deep learning-based detector. Many previous works tried to improve the underwater image quality by overcoming the degradation of underwater or designing stronger network structures to enhance the detector feature extraction ability to achieve a higher performance in underwater object detection. However, the former usually inhibits the performance of underwater object detection while the latter does not consider the gap between open-air and underwater domains. This paper presents a novel framework to combine underwater object detection with image reconstruction through a shared backbone and Feature Pyramid Network (FPN). The loss between the reconstructed image and the original image in the reconstruction task is used to make the shared structure have better generalization capability and adaptability to the underwater domain, which can improve the performance of underwater object detection. Moreover, to combine different level features more effectively, UNet-based FPN (UFPN) is proposed to integrate better semantic and texture information obtained from deep and shallow layers, respectively. Extensive experiments and comprehensive evaluation on the URPC2020 dataset show that our approach can lead to 1.4% mAP and 1.0% mAP absolute improvements on RetinaNet and Faster R-CNN baseline with negligible extra overhead. The code is available at https://github.com/BIGWangYuDong/uwtoolbox.
IMPROPER INTERSECTIONS OF KUDLA–RAPOPORT DIVISORS AND EISENSTEIN SERIES

We consider a certain family of Kudla–Rapoport cycles on an integral model of a Shimura variety attached to a unitary group of signature (1, 1), and prove that the arithmetic degrees of these cycles are Fourier coefficients of the central derivative of an Eisenstein series of genus 2. The integral model in question parameterizes abelian surfaces equipped with a non-principal polarization and an action of an imaginary quadratic number ring, and in this setting the cycles are degenerate: they may contain components of positive dimension. This result can be viewed as confirmation, in the degenerate setting and for dimension 2, of conjectures of Kudla and Kudla–Rapoport that predict relations between the intersection numbers of special cycles and the Fourier coefficients of automorphic forms.