Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of post-pressing times on adaptation of maxillary heat cured acrylic denture base at posterior palatal seal area

The purpose of this study was to verify the influence of post- pressing time of acrylic resin (immediate, 6, 12 and 24 hour) on the dimensional accuracy of denture base whish is a critical factor in the retention and stability of the complete denture that may occur during polymerization shrinkage. Materials and Methods: Forty maxillary stone casts were poured in plastic mold (Columbia Dentoform corp. NEW YORK, type III dental stone (Geastone, Zeus Sri Loc.Tamburine Roccastrada, GR, Italy). The stone casts were randomly assigned into 4 groups of 10 specimens each according to the post-pressing times into (immediate, 6, 12 and 24 h.). Heat cure acrylic resin denture base was constructed according to the previously mentioned pressing time, the resin base-stone cast sets were transversally sectioned with a manual saw device at the distal aspect of the molar area, anterior to the posterior palatal seal area. The gap between the resin base and stone cast was measured at five points in the right (point B) and left (point D) ridge crests, at the midline (point C), and at the right (point A) and left (point E) marginal limits (A), using a Leitz linear optical comparator microscope with a travelling stage capable of measuring 0.001 mm. Each measurement was repeated three times and the average was used as the linear gap distance for that point. The data were submitted to ANOVA. Result: there was statistically significant difference between the pressing time in which the mean values of gap space in point E for 24h shows lowest value then point A, point B, and point D than the other post pressing time. The mean value in point C shows highest values which mean the greater gap space in palatal area.
Cisplatin-associated ototoxicity amongst cervical cancer patients: A prospective cohort study in south Africa

Background Concurrent chemoradiotherapy using weekly cisplatin remains standard of care for locally advanced cervical cancer in Sub-Saharan Africa. While cisplatin remains a popular cancer chemotherapeutic, it has an irreversible ototoxic effect on patients’ auditory system. However, there is a paucity of epidemiological information on its extent and severity during cervical cancer treatment. In a region with a high burden of cervical cancer, this has serious consequences for aural intervention and rehabilitation. Methods and findings Using a prospective cohort study design, 82 patients with incident cervical cancer, receiving weekly cisplatin chemotherapy (50 mg/m2 body surface) at a tertiary level hospital in KwaZulu-Natal Province of South Africa, underwent audiological assessments at various intervals. We describe the temporal impact of cisplatin exposure on hearing loss, its combined effect with HIV-infection, and estimate ototoxicity incidence in this cohort. The median age was 52 years with Stages IIB (45%) and IIIB (35.4%) cancers being most common. Complaints of reduced hearing sensitivity increased significantly (p<0.0001). Bilateral, asymmetrical sensorineural hearing loss, with greater effect in the extended high-frequency range, was evident. Cisplatin dosage was significantly associated with ototoxicity severity at one- (p = 0.017), three- (p = 0.010), and six-month (p = 0.015) post-treatment follow-up. HIV-seropositivity (53.7%) was significantly associated with NCI-CTCAE Grading Scale at three- (p = 0.022) and six-months (p = 0.023) post-treatment. Multiple Tobit regression revealed a cumulative dose effect bilaterally, after adjustment for age and HIV status, evident from 9000Hz and above in the right ear, while a plateau effect was observed at 250mg/m2 in the left ear. The incidence was ototoxicity was 98% at a cumulative dose of 150mg/m2. Conclusion The findings of this epidemiologic study highlight the temporal course and severity of ototoxicity experienced by cervical cancer patients treated with cisplatin, with greater impact in HIV-positive subgroup, thus underscores the need for audiological monitoring and timely interventions in this cohort.
Insights into the regulation of MAP3K1 in hair follicle stem cells by transcriptome analysis

Abstract MAP3K1 is a significant member of the MAPK family, and its expressed MEKK1 protein has a wide range of biological activities and is an essential node in the MAPK signaling pathway. A significant number of studies have revealed that MAP3K1 plays a complicated function in the control of cell proliferation, apoptosis, invasion and movement, participates in the regulation of the immune system, and plays an important role in wound healing, tumorigenesis and other processes. In this study, we looked at the involvement of MAP3K1 in the control of hair follicle stem cells (HFSCs). Overexpression of MAP3K1 significantly promoted the proliferation of HFSCs by inhibiting apoptosis and promoting the transition from S phase to G2 phase. The transcriptome identified 189 (MAP3K1_OE) and 414 (MAP3K1_sh) differential genes. The two pathways with the most significant enrichment of differentially expressed genes were the IL-17 signaling pathway and TNF signaling pathway, and the significantly enriched terms in the GO enrichment analysis involved regulation of response of external stimulus, inflammatory and cytokine. Indicate that MAP3K1 can function as a promoting factor in HFSCs through the induction of cell cycle transition from S phase to G2 phase can inhibition apoptosis by mediating crosstalk among several pathways and cytokines. HIGHLIGHTS Abnormal MAP3K1 expression in hair follicle stem cells (HFSCs) can impair HFSC proliferation and apoptosis. MAP3K1 controls hair follicle stem cell proliferation via modulating cell apoptosis and the ratio of cells in S phase/G2 phase. The differential genes shared by MAP3K1_sh and MAP3K1_OE are enriched in GO terms such as inflammation, adipocyte differentiation, acute inflammation, and so on.
Image Stitch Algorithm Based on SIFT and Wavelet Transform

An algorithm of image stitch based on scale invariance feature transform(SIFT) and wavelet transform is proposed to improve the stitch effect of significantly different luminance images.Features are first detected between two images using SIFT algorithm.After identified locations and scales,features are described by a 128-dimensional feature vector.Feature is matched based on the nearest neighbor method in order to identify overlap regions.Images are blended by wavelet transform.Experimental results showed that the presented method is effective for significant different luminance images adopted from outdoor environments.
An Elementary Proof of Gram's Theorem for Convex Polytopes

Let P be a d-polytope (that is, a d-dimensional convex polytope in Euclidean space) and for 0 ≤ j ≤ d – 1 let (i = 1, . . . ,ƒj(P)) represent its j-faces. Associated with each face is a non-negative number ϕ(P, ), to be defined later, which is called the interior angle of P at the face .
Detection Method for JPEG Image Based on the Difference of DCT Coefficient Histograms

JEPG format of images is the most widely used image format in people's daily life,so the tamper detection on this kind of image has a more important significance. Under the theoretical basis that the tampered area in the compressed JPEG image is equivalent to one compression,the basic principles of one and double compressed JEPG image were researched. The influence of the size of relationship between quality factors Q 1 and Q 2 on the histogram of DCT coefficients of the double compressed image was analyzed,and two cases were carried out to find its histogram by the image block DCT coefficients. Then different methods were used to determine whether the image block was compressed once or twice. Finally,image tamper detection algorithm for JPEG image based on DCT coefficients histogram was proposed. Experiments showed that the algorithm is not only low computational complexity,but also has a good detection and location results.
Practical limits for detection of ferromagnetism using highly sensitive magnetometry techniques

Over the last ten years, signatures of high temperature ferromagnetism have been found in thin films and nanoparticles of various materials which are non-ferromagnetic in bulk, from semiconductors to superconductors. These studies often involve state-of-the-art magnetometers working close to the limits of their sensitivity, where magnetic contaminations and measurement artefacts become non-negligible. Because such spurious effects may be involved, the reliability of magnetometry techniques for the detection of ferromagnetism in these new magnetic nanomaterials has been questioned. In this paper, we present a detailed study on magnetic contamination arising from sample processing and handling, describing how it may occur and how it can be avoided or otherwise removed. We demonstrate that, when proper procedures are followed, extrinsic magnetic signals can be reproducibly kept below 5 × 10−7 emu (5 × 10−10 A m2). We also give an overview of the expected levels of contamination when such optimum conditions cannot be guaranteed and analyse the characteristics of the resulting magnetic behaviour, discussing which features may or may not be used as criteria to distinguish it from intrinsic ferromagnetism. Although the measurements were performed using superconducting quantum interference device magnetometers, most of what we describe can also be applied when using alternating-gradient force and vibrating-sample magnetometers.
Brillouin optical spatial Fourier domain analyzer

Abstract. We propose an approach to Brillouin optical frequency domain analysis for measuring temperature or strain along an optical fiber. In this approach, we modulate the pump by a cosine function over a range of frequencies. By measuring only the probe power at the edge of the fiber for each modulation frequency, we obtain the cosine transform of the Brillouin gain coefficient of the fiber. We describe the operation principle of the proposed method, introduce additional advantages of the frequency domain analysis, such as compressed representation of the spatial information and better field of view, and use simulations and experimental work to demonstrate the capabilities of the proposed technique.
Martingales and insurance risk

In [10] M.H. A. Davis introduced a class of non-diffusion models, called piecewise-deterministic Markov processes. As was pointed out by Embrechts [14] in the discussion to Davis's paper, these processes should provide a standard theory for studying applications in insurance risk theory. It is our aim to explain this in more detail by unifying the analysis of stochastic insurance models. Some new results will also be provided. In Section 1 we introduce the mathematics of the basic model together with a formulation of the classical risk processes as piecewise deterministic Markov (PD) processes. We distinguish between two different approaches. The first approach is used in Section 2 to find expressions for the probability of ruin in the classical Andersen model. Some new results are obtained for varying claim arrival rate, e.g. under periodicity assumptions. A general model including service payments is also analysed. Finally in Section 3 we discuss the second approach to establish exact results for Gamma c.
SOUND SYMBOLISM IN A USAGE-DRIVEN MODEL

Sound-symbolism is often assumed to be a universal, extra-linguistic property of the human mind. Soundsymbolic linguistic units (variously referred to as phonesthemes, submorphemes, or word-affinities) are seen as a consequence of this extra-linguistic property. Under this assumption, the existence of soundsymbolic units challenges the arbitrariness of the linguistic sign. The present paper argues that there is no reason to assume that sound symbolism is extra-linguistic. Instead, it can be seen as an expected outcome of schema abstraction over language-specific vocabulary structure. Consequently, most types of soundsymbolic units do not challenge the arbitrariness of the sign.
Ion Fokker-Planck simulation of D-3He gas target implosions

Recently performed inertial confinement fusion implosion experiments involving D-3He gas-filled microballoons have shown discrepancies between expected and measured nuclear fusion yields as the relative abundances of D and 3He are varied. The latter have been tentatively attributed to a sedimentation, or stratification phenomenon occurring in the target core. This work investigates the possibility of ion species sedimentation in a detailed way through multi-species ion-kinetic Vlasov-Fokker-Planck simulations of the implosion process. A noticeable amount of sedimentation is found to build up during the main shock propagation to the target center, but then disappears as the implosion proceeds. As a result, only the yield of the first burst of neutrons, associated with shock convergence, is appreciably modified, leaving the main neutron production phase during fuel compression and stagnation unaffected. The sedimentation of fuel ion species found, thus, cannot explain the experimental discrepancies.
A hybrid multi-objective particle swarm algorithm for a mixed-model assembly line sequencing problem

Mixed-model assembly line sequencing is one of the most important strategic problems in the field of production management where diversified customers' demands exist. In this article, three major goals are considered: (i) total utility work, (ii) total production rate variation and (iii) total setup cost. Due to the complexity of the problem, a hybrid multi-objective algorithm based on particle swarm optimization (PSO) and tabu search (TS) is devised to obtain the locally Pareto-optimal frontier where simultaneous minimization of the above-mentioned objectives is desired. In order to validate the performance of the proposed algorithm in terms of solution quality and diversity level, the algorithm is applied to various test problems and its reliability, based on different comparison metrics, is compared with three prominent multi-objective genetic algorithms, PS-NC GA, NSGA-II and SPEA-II. The computational results show that the proposed hybrid algorithm significantly outperforms existing genetic algorithms in large-sized problems.
Mesh Compression from Geometry

Images invaded most of contemporary publications and communications. This expansion has accelerated with the development of efficient schemes dedicated to image compression. Nowadays, the image creation process relies on multidimensional ob jects generated from computer aided design, physical simulations, data representation or optimisation problem solutions. This variety of sources motivates the design of compression schemes adapted to speciﬁc class of models. This work introduces two compression schemes for geometrical models. The ﬁrst one encodes level sets in any dimension, in a direct or progressive manner, with both state of the art compression ratios for low dimensions. The second one encodes meshes of any dimension and topology, even non–pure or non–manifold models, embedded in arbitrary space. The compression ratios for surfaces are comparable with famous mesh compression methods such as the Edgebreaker.
Wall-Pressure Modes in Subsonic Cavity Flows

Subsonic ∞ow over an open cavity with a length-to-depth ratio of 6 was studied using 11 ∞oor mounted pressure transducers evenly spaced along the centerline of the cavity in the streamwise direction. Thirteen free-stream Mach numbers were tested between 0.2 and 0.8 in 0.05 increments. The transducers allowed the dynamic wall-pressure loads to be recorded as a function of time at each of the 11 streamwise locations. Using Fourier decomposition in time and the Proper Orthogonal Decomposition in space, the streamwise organization of the energy associated with a particular Rossiter mode was able to be established. The results show that this energy distribution has a consistent spatial organization that is independent of Mach number.
This paper is included

There are currently over 30 billion IoT (Internet of Things) devices installed worldwide. To secure these devices from various threats one often relies on public-key cryptographic primitives whose operations can be costly to compute on resource-constrained IoT devices. To support such operations these devices often include a dedicated co-processor for cryptographic procedures, typically in the form of a big integer arithmetic unit. Such existing arithmetic co-processors do not offer the functionality that is expected by upcoming post-quantum cryptographic primitives. Regardless, contemporary systems may exist in the ﬁeld for many years to come. In this paper we propose the Kronecker + algorithm for polynomial multiplication in rings of the form Z [ X ] / ( X n + 1 ) : the arithmetic foundation of many lattice-based cryptographic schemes. We discuss how Kronecker + allows for re-use of existing co-processors for post-quantum cryptography, and in particular directly applies to the various ﬁnalists in the post-quantum standardization effort led by NIST. We demonstrate the effectiveness of our algorithm in practice by integrating Kronecker + into Saber: one of the ﬁnalists in the ongoing NIST standardization effort. On our target platform, a RV32IMC with access to a dedicated arithmetic co-processor designed to accelerate RSA and ECC, Kronecker + performs the matrix multiplication 2.8 times faster than regular Kronecker substitution and 1.7 times faster than Harvey’s negated-evaluation-points method.
Detecting heteroscedasticity in a simple regression model via quantile regression slopes

Consider the linear regression model Y=β X 1+α+τ (X)ϵ, where X and ϵ are independent random variables, ϵ has a mean of zero and variance σ2, and τ is some unknown function used to model heteroscedasticity. Many methods have been proposed for testing H 0: τ (X) ≡ 1, the hypothesis that the error term is homoscedastic, with most methods known to be unsatisfactory in terms of controlling the probability of a Type I error. This paper considers several approaches based on a quantile regression estimator, one of which (method N2) is recommended for general use. A minor goal is to report new results related to a method suggested by Koenker. Method N2 does not dominate Koenker’s method in terms of power, but as illustrated, the choice of method can make a considerable difference when testing H 0. In particular, situations occur where Koenker’s method is highly non-significant, yet method N2 rejects at the 0.01 level.
Contact problem for saturated poroelastic solid

The paper analytically examines the axisymmetric interaction between a rigid, circular, flat indentor and a poroelastic half-space that is saturated with a compressible fluid. The contact between the indentor and the poroelastic half-space is assumed to be smooth. The drainage conditions at the surface of the poroelastic half-space are considered as either completely drained, or partially drained, or completely undrained. By using the integral transform techniques, the paper develops the governing coupled integral equations. These governing integral equations are further reduced to systems of standard Fredholm integral equations of the second kind in the Laplace transform domain. Efficient computational algorithms are proposed to evaluate the time-dependent behavior of the rigid, circular indentor. The numerical results presented in the paper illustrate the manner in which the three variations in pore-pressure boundary conditions and the undrained compressibility of pore-fluid influence the consolidation .
Analysis and design on node of control plane in transport MPLS

It researches the requirements of control plane in T-MPLS and analyses the architecture of control plane based on TMPLS testbed. With the growth of the demand for packet transport services, packet transport network is becoming the core technology for transport network, especially T-MPLS. Because of simply implement, independent control plane, complete OAM, T-MPLS becomes the most promising technology for packet transport network. The control plane is responsible for handling dynamically and in real-time network's esources in order to manage the establishment and deletion of label switch path(LSP), and for disseminating and discovering network topology and resource availability through the exchange of control (signaling and routing) messages between neighbor nodes over the data communication network (DCN). It is composed of mainly four modules, connection controller (containing signaling module), routing, resource manager, and protocol controller module. The four modules interact with each other to complete the control plane's functions. The flow of every module is designed in this paper to complete control plane's software programming.
The Galactic-Scale Molecular Outflows in Starburst Galaxies NGC 2146 and NGC 3628

Starburst galaxies have strong star formation activity and generate large scale outflows which eject a huge amount of gas mass. This process affects galaxy activity, and therefore, the detailed study of nearby starburst galaxies could provide valuable information for the study of distant ones. So far there have been only a few studies of galactic-scale molecular out ows due to the sensitivity limitation of telescopes. Our study provides two nearby examples, NGC 2146 and NGC 3628. We used Nobeyama Millimeter Array (NMA) CO(1-0) data, Chandra soft X-ray data, and NMA 3 mm data to study the kinematics of molecular outflows, their interaction with ionized outflows, and the star forming activity in the starburst region. We found that the gas ejected through molecular out ows is much more significant than that used to form stars.
Automated Option Pricing: Numerical Methods

In this paper, we investigate model-independent bounds for option prices given a set of market instruments. This super-replication problem can be written as a semi-infinite linear programing problem. As these super-replication prices can be large and the densities ℚ which achieve the upper bounds quite singular, we restrict ℚ to be close in the entropy sense to a prior probability measure at a next stage. This leads to our risk-neutral weighted Monte Carlo approach which is connected to a constrained convex problem. We explain how to solve efficiently these large-scale problems using a primal-dual interior-point algorithm within the cutting-plane method and a quasi-Newton algorithm. Various examples illustrate the efficiency of these algorithms and the large range of applicability.
A Combined Measurement Method with PIV and Schlieren Technology on under Expanded Supersonic Jet

A combined measurement method with PIV and schlieren technology is described in this article. The velocity field and the shock wave structure can be obtained simultaneously with this combined measurement method by a synchronous time controller and the post-processing. The color schlieren can capture the instantaneous image effectively and clearly, while the PIV can calculate the time average velocity field and put out with the visual image. Both of them are ripe technologies, they can setup easily and even get some commercial groupwares. In this article, this combined measurement method study the under expanded supersonic jet successfully. Not only limit in the under expanded supersonic jet, this combined measurement method also can apply in the other supersonic flow. They are complementary advantaged to the investigation of supersonic flow.