Miracle-dz/UniFAR-FTUs huggingface dataset:
Configurations of lines in del Pezzo surfaces with Gosset polytopes

In this article, we study the divisor classes of del Pezzo surfaces, which are written as the sum of distinct lines with fixed intersection according to the inscribed simplexes and crosspolytopes in Gosset polytopes. We introduce the k-Steiner system and cornered simplexes, and characterize the configurations of inscribed m(<4)-simplexes with them. Higher dimensional inscribed m(3<m)-simplexes exist in 4_{21} in the Picard group of del Pezzo surface S_{8} of degree 1.The configurations of 4- and 7-simplexes are related to rulings in S_{8}. And the configurations of 5- and 6-simplexes correspond the skew 3-lines and skew 7-lines in S_{8}. In particular, the seven lines in a 6-simplex produce a Fano plane. We also study the inscribed crosspolytopes and hypercubes in the Gosset polytopes.
Improved autonomous mobile ground control point robot collaborates with UAV to improve accuracy of agriculture remote sensing

Conventional stationary ground control points (GCPs) provide calibration data to unmanned aerial vehicles (UAVs) for georeferencing and calibration of images. However, conventional GCPs are inefficient in a large field setup. An autonomous mobile GCP robot (AMGCP) combined with a collaboration algorithm to communicate with the UAV was developed to improve the efficiency and accuracy of the UAV-based data collection process. The first AMGCP lacks robustness in its navigation and structural stability. This research focuses on improving the previous version of the AMGCP by using ROS to implement simultaneous localization and mapping (SLAM) navigation architecture and enhancing the structural stability with a suspension system and four-wheel drive power train. Preliminary tests of the improved AMGCP showed a robust navigation system and improved structural stability. The first AMGCP showed superior performance for georeferencing and radiometric, height, and temperature calibration than conventional stationary GCPs. The improved AMGCP added an intelligent navigation system and structural stability.
Prospective Observational Study: Risk Factors and Outcomes of Diabetic Foot Ulcer among Diabetes Mellitus Patients Admitted to Government Medical College, Nizamabad

Background: Diabetes mellitus (DM), sometimes known as diabetes, is a collection of metabolic illnesses defined by a persistently high blood sugar level. Frequent urination, increased thirst, and increased appetite are common symptoms. In all nations, DM complications have become a serious public health issue. Objectives: A hospital-based study, a prospective observational study was conducted among diabetic patients with diabetic foot ulcers at Government Medical College (GMC), Nizamabad. From September 2020 to October 2021 Materials and Methods: To calculate the sample size, a total population of 450 patients with type 2 DM diagnosed during the 6-month study period was considered. DFU patients were studied clinical characteristics of diabetic foot ulcer patients among diabetes mellitus patients, and risk factors and outcomes of diabetic foot ulcer. Results: 100 Diabetic foot ulcers (DFU) patients were admitted to the GMC throughout the research period, with 61 (61%) of them being male. The age group between 18 to 78 years, with an average of 58.9 ± 9.56 years. The following groups had higher frequencies among participants: married 56 (56 %), schooling up to primary school 36 (36%). Type 2 diabetes mellitus affected 59 of them (59%). Amputations were performed on 35 (35%) of the patients, whereas 65 (65%) had no amputation. The most generally recommended antibiotic for the treatment of DFU was cloxacillin + metronidazole 39 (39%), followed by ceftriaxone. Furthermore, diabetic foot ulcer patients with neuropathy were more likely to require amputation (AOR = 1.6250; 95 % CI: 0.6479, 4.0756) than diabetic foot ulcer patients without neuropathy. Conclusion: Blood glucose level, higher body mass index, inappropriate antibiotics use, neuropathy and advanced grade of diabetic foot ulcer were independent predictors of amputation. Thus, a focus on weight loss, treating hyperglycemia, and prescribing suitable antibiotics for patients with neuropathy and advanced diabetic foot ulcers might reduce the unfavorable consequences of diabetic foot ulcers.
Comparative Evaluation of Antimicrobial, Antiamoebic, and Antiviral Efficacy of Ophthalmic Formulations

The extensive use of ophthalmic antibiotics is contributing to the appearance of resistant bacterial strains, which require prolonged and massive treatments with consequent detrimental outcomes and adverse effects. In addition to these issues, antibiotics are not effective against parasites and viruses. In this context, antiseptics could be valuable alternatives. They have nonselective mechanisms of action preventing bacterial resistance and a broad spectrum of action and are also effective against parasites and viruses. Here, we compare the in vitro antibacterial, antiameobic, and antiviral activities of six ophthalmic formulations containing antiseptics such as povidone-iodine, chlorhexidine, and thymol against Gram-positive and Gram-negative bacteria, the amoeba Acanthamoeba castellanii, and two respiratory viruses, HAdV-2 and HCoV-OC43. The results suggest that, among all the tested formulations, Dropsept, consisting of Vitamin E TPGS-based (tocopheryl polyethylene glycol succinate) in combination with the antiseptic chlorhexidine, is the one with the highest range of activities, as it works efficiently against bacteria, amoeba, and viruses. On the other hand, the solution containing PVA (polyvinyl alcohol) and thymol showed a promising inhibitory effect on Pseudomonas aeruginosa, which causes severe keratitis. Given its high efficiency, Dropsept might represent a valuable alternative to the widely used antibiotics for the treatment of ocular infections. In addition to this commercial eye drop solution, thymol-based solutions might be enrolled for their natural antimicrobial and antiamoebic effect.
Machine learning based MTF estimation system evaluation utilizing slanted-edge targets in sUAS scenes

As the number of imaging systems continues to rapidly grow, so too does the need to perform spatial image quality control on captured data. While human assessment for general quality control may be utilized in some applications, target-based and scene-based automated spatial resolution methods may improve speed, accuracy, and efficiency. In certain applications, such as small unmanned-aircraft systems (sUAS) data collection, very large numbers of captured images may even make human assessment impractical, especially for multispectral and hyperspectral modalities. Imagery bands outside of the visible spectrum, such as infrared, may also prove more challenging for human assessment. Traditionally, scientific metrics utilized for spatial quality control such as MTF (modulation transfer function) were measured using in-situ targets such as the slanted-edge or Siemens star. However, newer advanced methods can now estimate these metrics without requiring dedicated targets. Automated machine vision methods utilizing techniques such as neural networks can provide these estimated measurement metrics for rapid image evaluation and quality control. MTF estimation without targets allows much more flexibility in assessment, enables a measurement map across each image, and eliminates the logistical burden of requiring in-scene fielded assets. We examine the performance of one such machine learning based MTF estimation system by placing checkerboard-type slanted-edge targets in multiple sUAS scenes including agricultural, urban, and forested subject matter. We then compare traditional target-based slanted-edge method measurements to the machine learning based estimated values and assess the overall accuracy.
Concentration of Additive Functionals for Markov Processes and Applications to Interacting Particle Systems

We consider additive functionals of Markov processes in continuous time with general (metric) state spaces. We derive concentration bounds for their exponential moments and moments of finite order. Applications include diffusions, interacting particle systems and random walks. In particular, for the symmetric exclusion process we generalize large deviation bounds for occupation times to general local functions. The method is based on coupling estimates and not spectral theory, hence reversibility is not needed. We bound the exponential moments(or the moments of finite order) in terms of a so-called coupled function difference, which in turn is estimated using the generalized coupling time. Along the way we prove a general relation between the contractivity of the semigroup and bounds on the generalized coupling time.
Regularisation de l'´equation de Langevin en dimension 1 par le mouvement Brownien fractionnaire

The main goal of this paper is to provide a fractional stochastic differential equation modelling the physical phenomena governed by the Langevin equation in 1dimension. A generalized equation leaning on the fractional Brownian motion (fBm) will be proposed, the later will allow a description of the complexity of the physical systems which escape any prediction of the of the standard Langevin equation. We shall begin at first to remind the basic notions of the standard Brownian motion (Bm) and the fractional Brownian motion (fBm), then, we shall establish a generalization to long memory of the Langevin equation.
Application of Pistacia atlantica Leaves Powder as Natural Material To Remove Nitrate and Phosphate Ions From Domestic Wastewater by Characterization, Bio-removal, and Phytotoxicity Studies

Application of Pistacia atlantica Leaves Powder as Natural Material To Remove Nitrate and Phosphate Ions From Domestic Wastewater by Characterization, Bio-removal, and Phytotoxicity StudiesObaida Alhajali1* , Adnan Ali-Nizam1 , Rasha Almostafa2 1Damascus University, Department of Plant Biology, Damascus, Syria.2International University for Science and Technology, Department of General and Analytical Chemistry, Syria. Abstract: Description of Pistacia leaves powder using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), Energy-dispersive X-ray spectroscopy (EDX), specific surface area according to nitrogen adsorption (SBET) and methylene Blue (MB), and point of zero charge determination (pHpzc). A series of batch adsorption tests were conducted to study effect of various factors (plant powders dose, contact time, temperature, pH) on the percentage of nitrate and phosphate removal from domestic wastewater. The adsorption kinetics, regeneration ability test of plant powder, and phytotoxicity tests for treated water and spent powder on germination were studied. Results of SBET analysis showed that Pistacia leaves powders have a low surface area and microscopic pores, SEM images revealed rough surfaces with uneven cavities, EDX analysis showed that there are high percentages of carbon and oxygen, good percentages for nitrogen, and few percentages of potassium, calcium, magnesium, phosphorous, sulfur and chlorine, and FTIR analysis showed that there are more than five distinct absorption peaks. The maximum value of nitrate and phosphate removal was 76.47% and 52.20%, respectively, at powder dose of 2 g/L, temperature 25 °C, and pH 5, and the percentage of nitrate and phosphate removal increased with increasing contact time until equilibrium was reached after 120 min for nitrate and 180 min for phosphate, and It was found that adsorption of ions follows kinetics of reaction from pseudo-second-order model, and powders can be Regeneration and used for two successive cycles with a slight decrease in removal efficiency. Germination tests on Lepidium sativum indicate no phytotoxicity. That is, Pistacia leaves powder is one of the natural products that are effective in removing nitrate and phosphate from domestic wastewater.
Advanced textiles-relevance and potentials for consumers and industry

PhD Marina Crnoja-Ćosić, Head of Business Management Industrial Applications Berndt Köll, Business Manager Nicole Schram, TENCEL Luxe Brand Manager & Business Development Manager Functional Wear Birgit Schnetzlinger, Segment Manager Footwear Global Business Management Industrial Roland Arbesleitner, Segment Manager Packaging Robert Malinowsky, Technical BD Manager Textiles LENZING AG Lenzing, Austria e-mail: m.crnoja@lenzing.com Received October 11, 2018 UDC 677.02 Conference paper*
Carbon Nanomaterials for Tailored Biomedical Applications

Carbon Fibre (CF) and Carbon Nanotube (CNT) are typical Carbon nanomaterials that possess unique features which make them particularly attractive for biomedical applications. This paper is a review of the Carbon Fibre (CF) and Carbon Nanotube (CNT) for biomedical applications. In this paper, we describe their properties and tailored biomedical applications. The most recent state of the art in the biomedical application of CFs and CNTs were reviewed.
Finding an Integral vector in an Unknown Polyhedral Cone

We present an algorithm to find an integral vector in the polyhedral cone $\Gamma=\{X | \textbf{A}X \leq \textbf{0}\}$, without assuming the explicit knowledge of $\textbf{A}$. About the polyhedral cone, $\Gamma$, it is only given that, (i) the elements of \textbf{A} are in $\{-d,-d+1,\. ,0,\. ,d-1,d\}$, $d \in \mathbb{N}$, and, (ii) $Y=[y(1),y(2),\. ,y(n)]$ is a non-zero integral solution to $\Gamma$. The proposed algorithm finds a non-zero integral vector in $\Gamma$ such that its maximum element is less than ${(2d)^{2^{n-1}-1}}/{2^{n-1}}$.
Dickman polylogarithms and their constants

The Dickman function F(alpha) gives the asymptotic probability that a large integer N has no prime divisor exceeding N^alpha. It is given by a finite sum of generalized polylogarithms defined by the exquisite recursion L_k(alpha)=- int_alpha^{1/k} dx L_{k-1}(x/(1-x))/x with L_0(alpha)=1. The behaviour of these Dickman polylogarithms as alpha tends to 0 defines an intriguing series of constants, C_k. I conjecture that exp(gamma z)/Gamma(1-z) is the generating function for sum_{k\ge0} C_k z^k. I obtain high-precision evaluations of F(1/k), for integers k<11, and compare the Dickman problem with problems in condensed matter physics and quantum field theory.
Demodulated time-direction synchrosqueezing transform and its applications in mechanical fault diagnosis

Time-frequency analysis is recognized as a dynamic tool to analyze the nonstationary signal. The synchrosqueezing transform is usually applied as a post-processing method to further improve the readability of the time-frequency representation. Synchrosqueezing transform is related to the reassignment method and can be performed in two directions, namely time direction and frequency direction. Frequency-direction reassignment helps to squeeze the slowly changing ridge. However, the time-direction reassignment is efficient to process the signal with rapid variation in instantaneous frequency. Thus, there exists a conflict in most of the time-frequency analysis methods while dealing with a signal containing both of these two components. In this study, a new method called demodulated time-direction synchrosqueezing transform is introduced, which is not only capable of achieving a higher compact TFR but also allow reconstructing the mode. In order to explain demodulated time-direction synchrosqueezing transform, a signal model is established in frequency domain. Then, a demodulated procedure is implemented to eliminate time-frequency analysis diffusion. Finally, time-direction reassignment is carried out to further enhance the energy concentration of the time-frequency analysis. The proposed demodulated time-direction synchrosqueezing transform method is evaluated by both simulation and experimental research. The results reveal that the performance of demodulated time-direction synchrosqueezing transform is better than the conventional time-frequency analysis methods, and it can be applied to the fault diagnosis in a machine.
ON SUBGROUPS OF SATURATED OR TOTALLY BOUNDED PARATOPOLOGICAL GROUPS

A paratopological group G is saturated if the in- verse U−1 of each non-empty set U ½ G has non-empty interior. It is shown that a [first-countable] paratopological group H is a closed subgroup of a saturated (totally bounded) [abelian] paratopological group if and only if H admits a continuous bijective homomorphism onto a (totally bounded) [abelian] topological group G [such that for each neighborhood U ½ H of the unit e there is a closed subset F ½ G with e 2 h−1(F) ½ U]. As an application we construct a paratopological group whose character exceeds its ¼-weight as well as the character of its group reflexion. Also we present several ex- amples of (para)topological groups which are subgroups of totally bounded paratopological groups but fail to be subgroups of regular totally bounded paratopological groups.
\'Equidistribution, comptage et approximation par irrationnels quadratiques

Let $M$ be a finite volume hyperbolic manifold, we show the equidistribution in $M$ of the equidistant hypersurfaces to a finite volume totally geodesic submanifold $C$. We prove a precise asymptotic on the number of geodesic arcs of lengths at most $t$, that are perpendicular to $C$ and to the boundary of a cuspidal neighbourhood of $M$. We deduce from it counting results of quadratic irrationals over $\QQ$ or over imaginary quadratic extensions of $\QQ$, in given orbits of congruence subgroups of the modular groups.
Identities of Symmetry for Generalized Euler Polynomials

We derive eight basic identities of symmetry in three variables related to generalized Euler polynomials and alternating generalized power sums. All of these are new, since there have been results only about identities of symmetry in two variables. The derivations of identities are based on the 𝑝-adic fermionic integral expression of the generating function for the generalized Euler polynomials and the quotient of integrals that can be expressed as the exponential generating function for the alternating generalized power sums.
On the canonical filtration of an irreducible representation

The aim of this paper is to study the canonical filtration L_l of an irreducible finite dimensional sl(V)-module L using the universal enveloping algebra U(sl(V)) and the annihilator ideal ann(v) of a highest weight vector v in L. We give a basis for L_l and calculate the dimension of L_l as a function of l. This is done in terms of the universal enveloping algebra of the nilpotent radical of an opposite parabolic sub algebra of the stabilizer Lie algebra of a flag V_* in V with respect to a choice of roots for sl(V).
Load balancing in cloud computing: an analytical review and proposal

Task scheduling or mapping of requests to machines with specified requirements becomes a very important problem to get optimized results. With the requests of many users, the machine can go under different conditions such as heavy load and minimum load. These various aspects can lead to system failure and loss of data. Hence the load must be balanced to beat the losses of the system. A load balancing concept described how different types of loads could be balanced with each machine. The load can be of memory, computation, and network. The paper mainly focuses on all kinds of load to provide a big view for load balancing in cloud computing. Along with a review of all load balancing techniques, the paper is also presenting a proposal to balance the load with decision theory. The proposed paper introduces the basic techniques and types for load balancing and their implications for innovation.
Ratiometric Upconversion Temperature Sensor Based on Cellulose Fibers Modified with Yttrium Fluoride Nanoparticles

In this study, an optical thermometer based on regenerated cellulose fibers modified with YF3: 20% Yb3+, 2% Er3+ nanoparticles was developed. The presented sensor was fabricated by introducing YF3 nanoparticles into cellulose fibers during their formation by the so-called Lyocell process using N-methylmorpholine N-oxide as a direct solvent of cellulose. Under near-infrared excitation, the applied nanoparticles exhibited thermosensitive upconversion emission, which originated from the thermally coupled levels of Er3+ ions. The combination of cellulose fibers with upconversion nanoparticles resulted in a flexible thermometer that is resistant to environmental and electromagnetic interferences and allows precise and repeatable temperature measurements in the range of 298–362 K. The obtained fibers were used to produce a fabric that was successfully applied to determine human skin temperature, demonstrating its application potential in the field of wearable health monitoring devices and providing a promising alternative to thermometers based on conductive materials that are sensitive to electromagnetic fields.
Complex Interval-Valued q-Rung Orthopair 2-Tuple Linguistic Aggregation Operators and Their Application in Multi-Attribute Decision-Making

ABSTRACT This study aims to study the conception of the complex interval-valued q-rung orthopair 2-tuple linguistic set (CIVQRO2-TLS), which is a new powerful mixture to handle unreliable and vague data in realistic decision concerns. We also explore its fundamental properties as well as important laws. In the occurrence of the above theory, we discover some useful aggregation methods for the CIVQRO2-TLS, including the CIVQRO2-TLWA, CIVQRO2-TLOWA, CIVQRO2-TLHA, CIVQRO2-TLWG, CIVQRO2-TLOWG, and CIVQRO2-TLHG operators. To demonstrate the beneficial features of the invented works, a multi-attribute decision-making (MADM) system is presented and exposed to the supremacy of the presented operators with the help of several examples. In last, we elaborate on the advantages, comparative analysis, and graphical interpretation of the invented approaches.
Hyaluronic acid filler injection for deep nasolabial folds: A novel intraoral approach

Hyaluronic acid filler injection is a minimally invasive procedure for facial rejuvenation that involves injecting filling materials to correct the volume or augment specific areas in the face. Deep nasolabial folds are a common concern in aging people. The simplest way to correct a deep nasolabial fold to rejuvenate the face is to inject Ristow's space with hyaluronic acid fillers. However, conventional injection methods, such as percutaneous injections using a needle, can cause severe complications, such as skin necrosis or blindness due to intravascular injections. Therefore, the aim of the present study was to introduce a safe technique for intraoral filler injections in deep nasolabial folds and review related anatomic features to evaluate the safety of this technique.