Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect serum iron, vitamin B12 and ferritin levels in adult patients infected with Helicobacter pylori

Objective : This study aimed to investigate the relationship between hematological parameters, serum iron, and vitamin B12 levels in adult hospitalized Palestinian patients infected with Helicobacter pylori. Methods : The collected the data, prospectively, all H.Pylori cases admitted in lab private during the study period between April 2022 and August 2022. During the five months , (30) cases with H.pylori and (30) control . patients had H.pylori positive. laboratory analysis of inflammatory indices and organ function was accomplished for the sum total of cases and controls RESULT : The results in this research showed that there is a highly significant between stomach germs(H. pylori), iron, ferritin and vitamin B12, and there is non-significant with vitamin D.
Toric Deligne-Mumford stacks and the better behaved version of the GKZ hypergeometric system

We generalize the combinatorial description of the orbifold (Chen--Ruan) cohomology and of the Grothendieck ring of a Deligne--Mumford toric stack and its associated stacky fan in a lattice $N$ in the presence of a deformation parameter $\beta \in N \otimes {\mathbb C}. $ As an application, we construct a topological mirror symmetry map that produces a complete system of $\Gamma$--series solutions to the better behaved version of the GKZ hypergeometric system for $\beta \in N \otimes {\mathbb C}. $
Exploring an On-Chip Sensor to Detect Unique Faults in RRAMs

Memristive devices have become promising candidates to complement and/or replace the CMOS technology, due to their CMOS manufacturing process compatibility, zero standby power consumption, high scalability, as well as their capability to implement high-density memories and new computing paradigms. Despite these advantages, memristive devices are also susceptible to manufacturing defects that may cause different faulty behaviors not observed in CMOS technology, significantly increasing the manufacturing test complexity. This work proposes a Design-for-Testability (DfT) strategy based on the introduction of a on-chip sensor that measures the current consumption of Resistive Random Access Memories (RRAMs) cells to provide the detection of unique faults. The new On-Chip Sensor (ON_CS) was validated using a case study 3×3 RRAM cell array with peripheral circuitry implemented based on a 130 nm Predictive Technology Model (PTM) library. Experimental results show that the proposed DfT strategy is able to detect not only traditional faults, but also unique faults that can affect RRAM cells. Finally, this paper proposes an DfT strategy that can detect unique faults with an unique operation and can be used during the normal operation of a RRAM.
On Boolean algebras with strictly positive measures

We investigate reflection-type problems on the class SPM, of Boolean algebras carrying strictly positive finitely additive measures. We show, in particular, that in the constructible universe there is a Boolean algebra $\mathfrak A$ which is not in SPM but every subalgebra of $\mathfrak A$ of cardinality $\mathfrak c$ admits a strictly positive measure. This result is essentially due to Farah and Velickovic.
Action and energy of the gravitational field

Abstract We present a detailed examination of the variational principle for metric general relativity as applied to a quasilocal spacetime region M (that is, a region that is both spatially and temporally bounded). Our analysis relies on the Hamiltonian formulation of general relativity and thereby assumes a foliation of M into spacelike hypersurfaces Σ. We allow for near complete generality in the choice of foliation. Using a field-theoretic generalization of Hamilton–Jacobi theory, we define the quasilocal stress-energy momentum of the gravitational field by varying the action with respect to the metric on the boundary ∂ M . The gravitational stress-energy momentum is defined for a two-surface B spanned by a spacelike hypersurface in spacetime. We examine the behavior of the gravitational stress-energy momentum under boosts of the spanning hypersurface. The boost relations are derived from the geometrical and invariance properties of the gravitational action and Hamiltonian. Finally, we present several new examples of quasilocal energy momentum, including a novel discussion of quasilocal energy momentum in the large-sphere limit toward spatial infinity.
Two-dimensional electron gas in the Cu/Bi2O3 interface detected by mid-infrared ellipsometry

The formation of novel two-dimensional electron gas (2DEG) with high mobility in amorphous oxides/metal interfaces has motivated an ongoing interest regarding novel characteristics of these 2DEGs. Here we report an optical study, based on spectroscopic ellipsometry, of Cu/Bi$_{2}$O$_{3}$ interfaces that confirms the formation of a 2DEG with spin orbit coupling (SOC). In addition we detect Fano resonances which are attributed to the coupling of 2DEG quantum confined states with the continuum of the interface-bulk states. In particular, the line shape of the interfacial 2DEG dielectric function (DF) thus resolved in Drude and Lorentz components resulted very similar to theoretical predictions [M. Xie et al., Phys. Rev. B 89, 245417 (2014)] of a two dimensional electron gas confined in the normal direction of the system. Although the original constituent materials do not possess spin-orbit coupling (SOC), the resulting interfacial hybridization of such states induce electronic asymmetric wave functions. This work demonstrates the feasibility of ellipsometry as a non-invasive optical characterization of complex interfacial phenomena in challenging 2DEG formed by amorphous crystals, overcoming an experimental impediment which has hold back for decades important advancements for the understanding of 2DEGs in amorphous materials.
$\epsilon$-convertibility of entangled states and extension of Schmidt rank in infinite-dimensional systems

By introducing the concept of $\epsilon$-convertibility, we extend Nielsen's and Vidal's theorems to the entanglement transformation of infinite-dimensional systems. Using an infinite-dimensional version of Vidal's theorem we derive a new stochastic-LOCC (SLOCC) monotone which can be considered as an extension of the Schmidt rank. We show that states with polynomially-damped Schmidt coefficients belong to a higher rank of entanglement class in terms of SLOCC convertibility. For the case of Hilbert spaces of countable, but infinite dimensionality, we show that there are actually an uncountable number of classes of pure non-interconvertible bipartite entangled states.
Synchronous Observation on the Spontaneous Transformation of Liquid Metal under Free Falling Microgravity Situation

The unusually high surface tension of room temperature liquid metal is molding it as unique material for diverse newly emerging areas. However, unlike its practices on earth, such metal fluid would display very different behaviors when working in space where gravity disappears and surface property dominates the major physics. So far, few direct evidences are available to understand such effect which would impede further exploration of liquid metal use for space. Here to preliminarily probe into this intriguing issue, a low cost experimental strategy to simulate microgravity environment on earth was proposed through adopting bridges with high enough free falling distance as the test platform. Then using digital cameras amounted along x, y, z directions on outside wall of the transparent container with liquid metal and allied solution inside, synchronous observations on the transient flow and transformational activities of liquid metal were performed. Meanwhile, an unmanned aerial vehicle was adopted to record the whole free falling dynamics of the test capsule from the far end which can help justify subsequent experimental procedures. A series of typical fundamental phenomena were thus observed as: (a) A relatively large liquid metal object would spontaneously transform from its original planar pool state into a sphere and float in the container if initiating the free falling; (b) The liquid metal changes its three-dimensional shape due to dynamic microgravity strength due to free falling and rebound of the test capsule; and (c) A quick spatial transformation of liquid metal immersed in the solution can easily be induced via external electrical fields. The mechanisms of the surface tension driven liquid metal actuation in space were interpreted. All these findings indicated that microgravity effect should be fully treated in developing future generation liquid metal space technologies.
Digitizing a Therapeutic: Development of an Augmented Reality Dual-Task Training Platform for Parkinson’s Disease

Augmented reality (AR) may be a useful tool for the delivery of dual-task training. This manuscript details the development of the Dual-task Augmented Reality Treatment (DART) platform for individuals with Parkinson’s disease (PD) and reports initial feasibility, usability, and efficacy of the DART platform in provoking dual-task interference in individuals with PD. The DART platform utilizes the head-mounted Microsoft HoloLens2 AR device to deliver concurrent motor and cognitive tasks. Biomechanical metrics of gait and cognitive responses are automatically computed and provided to the supervising clinician. To assess feasibility, individuals with PD (N = 48) completed a bout of single-task and dual-task walking using the DART platform. Usability was assessed by the System Usability Scale (SUS). Dual-task interference was assessed by comparing single-task walking and walking during an obstacle course while performing a cognitive task. Average gait velocity decreased from 1.06 to 0.82 m/s from single- to dual-task conditions. Mean SUS scores were 81.3 (11.3), which placed the DART in the “good” to “excellent” category. To our knowledge, the DART platform is the first to use a head-mounted AR system to deliver a dual-task paradigm and simultaneously provide biomechanical data that characterize cognitive and motor performance. Individuals with PD were able to successfully use the DART platform with satisfaction, and dual-task interference was provoked. The DART platform should be investigated as a platform to treat dual-task declines associated with PD.
Distributed Algorithm for Optimal Power Flow on Unbalanced Multiphase Distribution Networks

The optimal power flow (OPF) problem is funda- mental in power distribution networks control and operation that underlies many important applications such as volt/var control and demand response, etc. Large-scale highly volatile renewable penetration in the distribution networks calls for real-time feed- back control, and hence the need for distributed solutions for the OPF problem. Distribution networks are inherently unbalanced and most of the existing distributed solutions for balanced networks do not apply. In this paper we propose a solution for unbalanced distribution networks. Our distributed algorithm is based on alternating direction method of multiplier (ADMM). Unlike existing approaches that require to solve semidefinite programming problems in each ADMM macro-iteration, we exploit the problem structures and decompose the OPF problem in such a way that the subproblems in each ADMM macro- iteration reduce to either a closed form solution or eigen-decomposition of a 6x6 hermitian matrix, which significantly reduce the convergence time. We present simulations on IEEE 13, 34, 37 and 123 bus unbalanced distribution networks to illustrate the scalability and optimality of the proposed algorithm.
A Cluster-Based UE-Scheduling Scheme for NR-V2X

The New Radio Vehicle-to-Everything (NR-V2X) technology investigated by the Third Generation Partnership Project (3GPP) explores the high reliability requirement to support message dissemination by vehicle-to-vehicle (V2V) distributed communications for safety applications via a direct communication interface. However, the natural commonality of distributed resource selection may lead to severe resource collisions in a dense high mobility environment. In this paper, we propose a UE-scheduling resource allocation scheme to reduce distributed resource contentions, where vehicles are clustered autonomously based on orthogonal resource sets detection and the cluster size is determined by the cluster-joining threshold. In addition, the algorithms of clustering maintenance are designed to improve the stability of clusters by periodically checking the status of the resource sets and the movement of vehicles. Furthermore, a detailed frame structure design is described, and theoretical performance analysis models of the proposed scheme in different traffic scenarios are investigated. Finally, simulations and numerical results demonstrate that the proposed scheme can reduce packet collisions and increase the packet delivery ratio compared to the conventional distributed scheme, and outperforms some existing schemes in cluster stability.
The effect of laser cutting on the Young’s modulus of Polydimethylsiloxane

Laser cutting is often used in the fabrication of Polydimethylsiloxane (PDMS) substrates for novel microdevices such as wearable sensors and microfluidic devices. PDMS is a thermosetting polymer whose material properties are affected by the thermal conditions during the curing process. Since laser cutting exposes the cutting material to high temperatures, this might affect the heat-sensitive material properties. In this work, we examine how laser cutting affects the stiffness of PDMS by measuring the Young’s modulus of PDMS and comparing that to the Young’s modulus of laser-cut PDMS. We find an increase in the Young’s modulus from 0.34 to 0.37 MPa (9%) for PDMS mixed at a ratio of 20:1 base to curing agent. For 10:1 ratio PDMS, we find the increase in Young’s modulus is 31%, from 1.02 to 1.34 MPa.
The Poisson boundary of $\text{Out}(F_N)$

Let $\mu$ be a probability measure on $\text{Out}(F_N)$ with finite first logarithmic moment with respect to the word metric, finite entropy, and whose support generates a nonelementary subgroup of $\text{Out}(F_N)$. We show that almost every sample path of the random walk on $(\text{Out}(F_N),\mu)$, when realized in Culler and Vogtmann's outer space, converges to the simplex of a free, arational tree. We then prove that the space $\mathcal{FI}$ of simplices of free and arational trees, equipped with the hitting measure, is the Poisson boundary of $(\text{Out}(F_N),\mu)$. Using Bestvina-Reynolds' and Hamenstadt's description of the Gromov boundary of the complex $\mathcal{FF}_N$ of free factors of $F_N$, this gives a new proof of the fact, due to Calegari and Maher, that the realization in $\mathcal{FF_N}$ of almost every sample path of the random walk converges to a boundary point. We get in addition that $\partial\mathcal{FF}_N$, equipped with the hitting measure, is the Poisson boundary of $(\text{Out}(F_N),\mu)$.
Promising Advances in Pharmacotherapy for Patients with Spinal Cord Injury—A Review of Studies Performed In Vivo with Modern Drugs

Spinal cord injury (SCI) is a pathological neurological condition that leads to significant motor dysfunction. It is a condition that occurs as a result of tragic accidents, violent acts, or as a consequence of chronic diseases or degenerative changes. The current treatments for patients with SCI have moderate efficacy. They improve the quality of life of patients, but they are still doomed to long-term disability. In response to the modern directions of research on possible therapeutic methods that allow for the recovery of patients with SCI, a scientific review publication is needed to summarize the recent developments in this topic. The following review is focused on the available pharmacological treatments for SCIs and the problems that patients face depending on the location of the injury. In the following review, the research team describes problems related to spasticity and neuropathic pain; possible therapeutic pathways are also described for neuroprotection and the improvement of neurotransmission within the injured spinal cord, and the review focuses on issues related to oxidative stress.
Automated Methodology for Volume Fraction Measurement of Three Phase Steel Micrograph Using Image Processing Techniques

A quantitative description of microstructure governs the characteristics of the material. Various heat and excellent treatments reveal micro-structures when the material is prepared. Depending on the microstructure, mechanical properties like hardness, ductility, strength, toughness, corrosion resistance, etc., also vary. Microstructures are characterized by morphological features like volume fraction of different phases, particle size, etc. Relative volume fractions of the phases must be known to correlate with the mechanical properties. In this work, using image processing techniques, an automated scheme was presented to calculate relative volume fractions of the phases, namely Ferrite, Martensite, and Bainite, present in the microscopic image of high strength low alloy steel. First, the microscopic image was segmented into Ferrite, Martensite, and Bainite regions. The phase structure's geometric property was used to identify different phases present inside the micrograph. After phase detection, the volume fraction of each region is calculated.
New rigorous perturbation bounds for the LU and QR factorizations

Combining the modified matrix-vector equation approach with the technique of Lyapunov majorant function and the Banach fixed point principle, we obtain new rigorous perturbation bounds for the LU and QR factorizations with normwise or componentwise perturbations in the given matrix, where the componentwise perturbations have the form of backward errors resulting from the standard factorization algorithms. Each of the new rigorous perturbation bounds is a rigorous version of the first-order perturbation bound derived by the matrix-vector equation approach in the literature, and we present their explicit expressions. These bounds improve the results given by Chang and Stehl\'{e} [SIAM Journal on Matrix Analysis and Applications 2010; 31:2841--2859]. Moreover, we derive new tighter first-order perturbation bounds including two optimal ones for the LU factorization, and provide the explicit expressions of the optimal first-order perturbation bounds for the LU and QR factorizations.
Do Green Finance Policies Foster Environmental, Social, and Governance Performance of Corporate?

The green finance policy is crucial for enterprises to participate in environmental governance actively. Taking the “Green Credit Guidelines” issued by China in 2012 as a quasi-natural experiment, this study investigated the impact of green finance policies on corporate environmental, social, and governance (ESG) performance by using a continuous Difference-in-Differences (DID) model based on the data of listed companies from 2006 to 2020. The conclusions are: (1) The green finance policy significantly improves corporate ESG, but the effects vary across enterprises. (2) The policy has encouraged enterprises to develop and adopt green products and technologies. Still, it has not had a positive effect on the treatment of enterprise pollutant emissions because the implementation of the policy makes enterprises pay more attention to front-end risk control than pollution treatment after production. (3) Research results have heterogeneity. The impact of green finance policies on enterprises at different levels of environmental regulation is different. Enterprises in areas with high intensity of environmental regulation are more vulnerable to green credit. The conclusion of this paper helps improve the green finance policy system, enhance the awareness and level of corporate ESG, and strengthen the collaborative governance of policies and enterprises on environmental issues in combination with the mandatory environmental regulations and incentive mechanisms to promote the green development of enterprises and realize the goal of carbon neutrality.
Turbulent skin-friction reduction by wavy surfaces

Direct numerical simulations of fully-developed turbulent channel flows with wavy walls are undertaken. The wavy walls, skewed with respect to the mean flow direction, are introduced as a means of emulating a Spatial Stokes Layer (SSL) induced by in-plane wall motion. The transverse shear strain above the wavy wall is shown to be similar to that of a SSL, thereby affecting the turbulent flow, and leading to a reduction in the turbulent skin-friction drag. The pressure- and friction-drag levels are carefully quantified for various flow configurations, exhibiting a combined maximum overall-drag reduction of about 0.5%. The friction-drag reduction is shown to behave approximately quadratically for small wave slopes and then linearly for higher slopes, whilst the pressure-drag penalty increases quadratically. Unlike in the SSL case, there is a region of increased turbulence production over a portion of the wall, above the leeward side of the wave, thus giving rise to a local increase in dissipation. The transverse shear-strain layer is shown to be approximately Reynolds-number independent when the wave geometry is scaled in wall units.
The potential of many-line inversions of photospheric spectropolarimetric data in the visible and near UV

Our knowledge of the lower solar atmosphere is mainly obtained from spectropolarimetric observations, which are often carried out in the red or infrared spectral range and almost always cover only a single or a few spectral lines. Here we compare the quality of Stokes inversions of only a few spectral lines with many-line inversions. In connection with this, we have also investigated the feasibility of spectropolarimetry in the short-wavelength range, 3000 Å−4300 Å, where the line density but also the photon noise are considerably higher than in the red, so that many-line inversions could be particularly attractive in that wavelength range. This is also timely because this wavelength range will be the focus of a new spectropolarimeter in the third science flight of the balloon-borne solar observatory SUNRISE. For an ensemble of state-of-the-art magneto-hydrodynamical atmospheres we synthesize exemplarily spectral regions around 3140 Å (containing 371 identified spectral lines), around 4080 Å (328 lines), and around 6302 Å (110 lines). The spectral coverage is chosen such that at a spectral resolving power of 150 000 the spectra can be recorded by a 2K × 2K detector. The synthetic Stokes profiles are degraded with a typical photon noise and afterward inverted. The atmospheric parameters of the inversion of noisy profiles are compared with the inversion of noise-free spectra. We find that significantly more information can be obtained from many-line inversions than from a traditionally used inversion of only a few spectral lines. We further find that information on the upper photosphere can be significantly more reliably obtained at short wavelengths. In the mid and lower photosphere, the many-line approach at 4080 Å provides equally good results as the many-line approach at 6302 Å for the magnetic field strength and the line-of-sight (LOS) velocity, while the temperature determination is even more precise by a factor of three. We conclude from our results that many-line spectropolarimetry should be the preferred option in the future, and in particular at short wavelengths it offers a high potential in solar physics.