Miracle-dz/UniFAR-FTUs huggingface dataset:
Strong fields and neutral particle magnetic moment dynamics

Interaction of magnetic moment of point particles with external electromagnetic fields experiences unresolved theoretical and experimental discrepancies. In this work we point out several issues within relativistic quantum mechanics and QED and we describe effects related to a new covariant classical model of magnetic moment dynamics. Using this framework we explore the invariant acceleration experienced by neutral particles coupled to an external plane wave field through the magnetic moment: we study the case of ultrarelativistic Dirac neutrinos with magnetic moment in the range of 10−11 to 10−20 μB; and we address the case of slowly moving neutrons. We explore how critical accelerations for neutrinos can be experimentally achieved in laser pulse interactions. The radiation of accelerated neutrinos can serve as an important test distinguishing between Majorana and Dirac nature of neutrinos.
Mobile Application for Ulcer Detection

Purpose: The number of patients who are suffering from diabetes nowadays is increasing significantly. In some countries, the percentage of population who suffer from this disease can reach up to 20%. Diabetic patients have to deal with their medical conditions and any further complications that this disease may cause. One of the most common conditions is the Diabetic Foot Ulcer (DFU). The early detection of these ulcers can help and may save the life of diabetic patients. Methods: This work proposes a mobile application for the detection of possible ulcers using a smart phone along with a mobile thermal camera (FLIR ONE). The proposed system captures thermal images of the feet from the thermal camera. The app that identifies ulcers was built using Android studio. The images were acquired to the Samsung S6 smart phone using the FLIR ONE SDK. Image processing techniques were deployed based on Open CV Library. The procedure of detecting possible ulcers was implemented based on analyzing the thermal distribution on the two feet. The developed application compares the difference between the temperature distribution on the two feet and checks if there is a Mean Temperature Difference (MTD) greater than 2.2oC (the value which indicates a possible ulcer development). Results: The system was tested under simulated conditions by heating different locations of the subjects’ feet to different temperature ranges; one image with temperature less than 2.2oC and another three images with temperature greater than 2.2oC. The system has successfully identified possible ulcer regions along with an image showing the location of the possible ulcers. Conclusions: This work is a very first step in developing a complete mobile thermal imaging system that can be validated clinically in the future.
Business 7-11-2018 The Case for Showrooming

Showrooming has deeply affected the retail market in the past decade. As consumers became able to easily compare prices on their mobile devices, they started using retail stores to try on and experience products and then they ordered online the lower priced versions they liked best to be delivered directly to their homes. As retailers are trying to adapt to the showrooming challenges and the shift to online purchases, stores are increasingly adopting showrooming as a new selling format. We present examples of successful showrooming and develop a framework for when the new selling format can be expected to be used.
Realistic Area-Law Bound on Entanglement from Exponentially Decaying Correlations

A remarkable feature of typical ground states of strongly-correlated many-body systems is that the entanglement entropy is not an extensive quantity. In one dimension, there exists a proof that a finite correlation length sets a constant upper-bound on the entanglement entropy, called the area law. However, the known bound exists only in a hypothetical limit, rendering its physical relevance highly questionable. In this paper, we give a simple proof of the area law for entanglement entropy in one dimension under the condition of exponentially decaying correlations. Our proof dramatically reduces the previously known bound on the entanglement entropy, bringing it, for the first time, into a realistic regime. The proof is composed of several simple and straightforward steps based on elementary quantum information tools. We discuss the underlying physical picture, based on a renormalization-like construction underpinning the proof, which transforms the entanglement entropy of a continuous region into a sum of mutual informations in different length scales and the entanglement entropy at the boundary.
Drug Metabolite as a Novel Tool for Measuring Antimalarial Drug Adherence

Malaria has been a major public health problem worldwide. The burden of malaria has been reduced by the adoption of Artemisinin-Combination Therapy (ACT) followed by primaquine dosage in malaria-endemic countries. However, evidences of non-adherence behavior lead to the discovery of antimalarial drug adherence to ensure a successful and satisfactory treatment of ACT, since it is the only available antimalarial drugs against asexual form of the parasite. Unstandardized questionnaires and limited effective alternative approaches have been the major obstacles to measure adherence. With rapid development of pharmacokinetic research, public health researchers can adopt the approach to measure adherence. Notwithstanding, the current structured questionnaire has explained in detail that the measurement and classification of adherence have produced satisfactory results. However, it is subject to social desirability bias. Therefore, in this review, we offer a new strategy combining structured questionnaire and drug metabolite as a novel consensus which eliminates biases. A new classification of adherence and graphical representation of practical strategy and other important factors are provided in this review. Thus, it initiates further works to conduct an intervention program to increase adherence level. Additionally, adherence behavior prevents the development of drug resistance and its spread, increases satisfactory cure rate and inhibits transmission by eliminating gametocyte inside host’s body.
New tests of uniformity on the compact classical groups as diagnostics for weak-$^{*}$ mixing of Markov chains

This paper introduces two new families of non-parametric tests of goodness-of-fit on the compact classical groups. One of them is a family of tests for the eigenvalue distribution induced by the uniform distribution, which is consistent against all fixed alternatives. The other is a family of tests for the uniform distribution on the entire group, which is again consistent against all fixed alternatives. We find the asymptotic distribution under the null and general alternatives. The tests are proved to be asymptotically admissible. Local power is derived and the global properties of the power function against local alternatives are explored. The new tests are validated on two random walks for which the mixing-time is studied in the literature. The new tests, and several others, are applied to the Markov chain sampler proposed by \cite{jones2011randomized}, providing strong evidence supporting the claim that the sampler mixes quickly.
Grazing intensity impacts soil carbon and nitrogen storage of continental steppe

Recent studies have underscored the importance of grasslands as potential carbon (C) sinks. We performed a grazing experiment with seven stocking rates (SR0, SR1.5, SR3.0, SR4.5, SR6.0, SR7.5, and SR9.0 for 0, 1.5, 3.0, 4.5, 6.0, 7.5, and 9.0 sheep ha−1, respectively) to investigate the effect of increasing grazing pressure on soil C and nitrogen (N) storage in the temperate grasslands of northern China. The results revealed that C and N storage in both 0–10 cm and 10–30 cm soil layers decreased linearly with increasing stocking rates. Carbon storage in the 0–10 cm soil layer was significantly higher in lightly grazed grasslands than in heavily grazed grasslands after a 5-yr grazing treatment. Our findings suggest an underlying transformation from soil C sequestration under light grazing to C loss under heavy grazing, and that the threshold for this transformation is 4.5 sheep ha−1 (grazing period from June to September). Results confirmed that grasslands used for grazing in northern China have the capacity to sequester C in the soil under appropriate grazing pressure, but that they lose C under heavy grazing. Therefore, appropriate grazer densities will promote soil C sequestration in the grasslands of northern China.
Feeder-Free Derivation of Functional Platelets from Human Induced Pluripotent Stem Cells

Derivation of patient specific induced pluripotent stem cells, in combination with directed platelet differentiation, provides a promising platform to study human thrombopoiesis or platelet disorders, and has clear potential for future clinical applications. However, efficient differentiation of human induced pluripotent stem cells (iPSCs) into functional blood cells remains challenging. In this study, we report a novel protocol for the generation of CD41a+, CD42b+, and CD61+ functional platelets from human iPSCs under feeder-free culture conditions. Platelets derived from this feeder-free system showed similar fibrinogen binding activity after agonist stimulation when compared to platelets derived from a previously reported cell line co culture system. Evidence showed these culture-derived platelets responded to different agonist stimulation by increased expression of activation markers (CD62P and PAC1) as expected. Together, these results provide an important step towards generating in vitro functional platelets from an unlimited source of patient-specific induced pluripotent stem cells using an animal component-free culture system.
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

This paper studies the problem of learning image semantic segmentation networks only using image-level labels as supervision, which is important since it can significantly reduce human annotation efforts. Recent state-of-the-art methods on this problem first infer the sparse and discriminative regions for each object class using a deep classification network, then train semantic a segmentation network using the discriminative regions as supervision. Inspired by the traditional image segmentation methods of seeded region growing, we propose to train a semantic segmentation network starting from the discriminative regions and progressively increase the pixel-level supervision using by seeded region growing. The seeded region growing module is integrated in a deep segmentation network and can benefit from deep features. Different from conventional deep networks which have fixed/static labels, the proposed weakly-supervised network generates new labels using the contextual information within an image. The proposed method significantly outperforms the weakly-supervised semantic segmentation methods using static labels, and obtains the state-of-the-art performance, which are 63.2% mIoU score on the PASCAL VOC 2012 test set and 26.0% mIoU score on the COCO dataset.
Emergence of dark soliton signatures in a one-dimensional unpolarized attractive Fermi gas on a ring

The two-component Fermi gas with contact attractive interactions between different spin components can be described by the Yang-Gaudin model. Applying the Bethe ansatz approach, one finds analytical formulae for the system eigenstates that are uniquely parametrized by the solutions of the corresponding Bethe equations. Recent numerical studies of the so-called yrast eigenstates, i.e. lowest energy eigenstates at a given non-zero total momentum, in the Yang-Gaudin model show that their spectrum resembles yrast dispersion relation of the Lieb-Liniger model which in turn matches the dark soliton dispersion relation obtained within the nonlinear Schr\"{o}dinger equation. It was shown that such conjecture in the case of the Lieb-Liniger model was not accidental and that dark soliton features emerged in the course of measurement of positions of particles, when the system was initially prepared in an yrast eigenstate. Here, we demonstrate that, starting with yrast eigenstates in the Yang-Gaudin model, the key soliton signatures are revealed by the measurement of pairs of fermions. We study soliton signatures in a wide range of the interaction strength.
Helically symmetric extended magnetohydrodynamics: Hamiltonian formulation and equilibrium variational principles

Hamiltonian extended magnetohydrodynamics (XMHD) is restricted to respect helical symmetry by reducing the Poisson bracket for the three-dimensional dynamics to a helically symmetric one, as an extension of the previous study for translationally symmetric XMHD (Kaltsas et al., Phys. Plasmas, vol. 24, 2017, 092504). Four families of Casimir invariants are obtained directly from the symmetric Poisson bracket and they are used to construct Energy–Casimir variational principles for deriving generalized XMHD equilibrium equations with arbitrary macroscopic flows. The system is then cast into the form of Grad–Shafranov–Bernoulli equilibrium equations. The axisymmetric and the translationally symmetric formulations can be retrieved as geometric reductions of the helically symmetric one. As special cases, the derivation of the corresponding equilibrium equations for incompressible plasmas is discussed and the helically symmetric equilibrium equations for the Hall MHD system are obtained upon neglecting electron inertia. An example of an incompressible double-Beltrami equilibrium is presented in connection with a magnetic configuration having non-planar helical magnetic axis.
Improved one-dimensional model potentials for strong-field simulations

Based on a plausible requirement for the ground-state density, we introduce an alternative one-dimensional (1D) atomic model potential for the 1D simulation of the quantum dynamics of a single active electron atom driven by a strong, linearly polarized few-cycle laser pulse. The form of this density-based 1D model potential also suggests improved parameters for other well-known 1D model potentials. We test these 1D model potentials in numerical simulations of typical strong-field physics scenarios and we find an impressively increased accuracy of the low-frequency features of the most important physical quantities. The structure and the phase of the high-order harmonic spectra also have a very good match to those resulting from the three-dimensional simulations, which enables one to fit the corresponding power spectra with the help of a simple scaling function.
Use of biological fish silage in broilers feed: effect on growth performance and meat quality.

José Carmen Ramírez Ramírez, José Inés Ibarra Espain, Ranferi Gutiérrez Leyva, José Armando Ulloa and Petra Rosas Ulloa. Laboratory of Bromatology and Animal Nutrition, Academic Unit of Veterinary Medicine and Zootechnics, Autonomous University of Nayarit, Compostela, Nayarit, Mexico; 2 Food Technology Center, Autonomous University of Nayarit, Tepic, Nayarit, Mexico; Corresponding author e-mail: ramcara60@gmail.com
Egyptian Women’s Satisfaction and Perception of Antenatal Care.

Aim: to assess pregnant women perception of ANC (antenatal care) and their satisfaction with different aspects of care. Study Design: A Cross sectional study was conducted on 600 pregnant females. Place and Duration of Study: Shawa family medicine center in Shawa village in Mansoura, Dakahlia governorate from March 2010 to September 2010. Methodology: Our target group completed the questionnaire including sociodemographic data, duration of pregnancy and number of their antenatal visit, questions to assess; satisfaction about different aspects of quality of the care, to assess women perception for ANC components. Results: High satisfaction (>90%) was reported for waiting time for laboratory results, answering inquiries and help by staff, trust the doctor followed by cleanness of the center, privacy, most of accessibility items, most of physician performance items. Satisfaction ( 75%) received proper nutritional care and fetal examination, performed ultrasound examination and only 65% actually received tetanus toxoid. <40% reported home visits, familial participation in care, had blood and stool analysis. Pregnant females were satisfied with most of the health education messages. Information about teeth care, breast care and clothing achieved lowest satisfaction (<20%). Conclusions: The majority of the females was satisfied by the quality of care and reported the perception of ANC components however; low satisfaction with health education components indicates a need for strategies to improve this important aspect of care.
Clinical aspects of experimental peritonitis in horses

Sixteen adult horses were randomly divided into 4 equal groups (GI, GII, GIII and GIV) of 4 animals and each group was injected intraperitoneally with one of the following suspension: GI (100 x 107 colony-forming units (CFU) of Escherichia coli diluted in 500ml of 0.9% saline); GII (100 x 107 CFU of Bacteroides fragilis in 500ml of 0.9% saline); GIII (100 x 107 CFU of E. coli in combination with 100 x 107 CFU of B. fragilis in 500ml of 0.9% saline); GIV (500ml of 0.9% saline). Abdominal wall sensitivity to external pressure and tension, diarrhea, decreased intestinal sounds and increased of heart rate were the clinical signs more frequently observed in inoculated horses. Horses inoculated with pure cultures of either E. coli or B. fragilis demonstrated mild and self-limiting peritonitis, while those inoculated with the combination of both bacteria demonstrated clinical signs of higher intensity and duration.
Rényi entropy of highly entangled spin chains

Entanglement is one of the most intriguing features of quantum theory and a main resource in quantum information science. Ground states of quantum many-body systems with local interactions typically obey an “area law” which means that the entanglement entropy is proportional to the boundary length. It is exceptional when the system is gapless, and the area law had been believed to be violated by at most a logarithm over two decades. Recent discovery of Motzkin and Fredkin spin chain models is striking, since these models provide significant violation of the entanglement beyond the belief, growing as a square root of the volume in spite of local interactions. In this paper, we first analytically compute the Rényi entropy of the Motzkin and Fredkin models by careful treatment of asymptotic analysis. The Rényi entropy is an important quantity, since the whole spectrum of an entangled subsystem is reconstructed once the Rényi entropy is known as a function of its parameter. We find nonanalytic behavior of the Rényi entropy with respect to the parameter, which is a novel phase transition never seen in any other spin chain studied so far. Interestingly, similar behavior is seen in the Rényi entropy of Rokhsar–Kivelson states in two dimensions.
Linguistic Predictors of Rumor Veracity on the Internet

This paper attempts to investigate the role of language in predicting the veracity of rumors on the Internet. Specifically, it seeks to examine rumor veracity as a function of six groups of linguistic predictors. These include rumors’ (1) comprehensibility, (2) sentiment, (3) time-orientation, (4) quantitative details, (5) writing style, and (6) topic. A dataset of 2,391 rumors, about 20% of which were true and the rest false, drawn from the rumor-verification website Snopes.com was used for investigation. The operationalized measures of the linguistic predictors were calculated for all rumors using the Linguistic Inquiry and Word Count (LIWC) tool. Binomial logistic regression was used for data analysis. The model performed generally well. The results specifically indicated that rumor veracity could be predicated by comprehensibility, time-orientation, writing style and topic of rumors.
LDPC encoding performances for fading suppression in MIMO-CDMA wireless networks

In multiuser wireless communication systems, signal recovery, even at low BER is a relevant factor for ensuring a safe and reliable communication. Efforts for interference minimization include multiple analysis of source coding/decoding techniques, channel coding/decoding techniques and multiuser detection algorithms. This paper illustrates the improvement brought by LDPC technique in SS systems when AWGN and Rayleigh/Nakagami-m fading occur on communication channel. Performances are evaluated for different sets of spreading sequences (Walsh-Hadamard, Kasami and PN) and based on the simulation results several conclusions are highlighted and further improvement will be proposed for fading effects reduction and interference minimization.
Grid-Based Moment Tensor Inversion Technique by Using 3-D Green’s Functions Database: A Demonstration of the 23 October 2004 Taipei Earthquake

Moment tensor inversion is a routine procedure to obtain information on an earthquake source for moment magnitude and focal mechanism. However, the inversion quality is usually controlled by factors such as knowledge of an earthquake location and the suitability of a 1-D velocity model used. Here we present an improved method to invert the moment tensor solution for local earthquakes. The proposed method differs from routine centroid-moment-tensor inversion of the Broadband Array in Taiwan for Seismology in three aspects. First, the inversion is repeated in the neighborhood of an earthquake’s hypocenter on a grid basis. Second, it utilizes Green’s functions based on a true three-dimensional velocity model. And third, it incorporates most of the input waveforms from strong-motion records. The proposed grid-based moment tensor inversion is applied to a local earthquake that occurred near the Taipei basin on 23 October 2004 to demonstrate its effectiveness and superiority over methods used in previous studies. By using the grid-based moment tensor inversion technique and 3-D Green’s functions, the earthquake source parameters, including earthquake location, moment magnitude and focal mechanism, are accurately found that are sufficiently consistent with regional ground motion observations up to a frequency of 1.0 Hz. This approach can obtain more precise source parameters for other earthquakes in or near a well-modeled basin and crustal structure.
Design, development and characterization of serratiopeptidase loaded albumin nanoparticles -

In recent years, albumin nanoparticles have been widely studied for delivery of various active pharmaceuticals with enhanced accumulation at the site of inflammation. Albumin is a versatile carrier to prepare nanoparticles and nanospheres due to its easy availability in pure form, biodegradability non-toxic and non-immunogenic nature. The mechanism of action of Serratiopeptidase appears to be hydrolysis of histamine, bradykinin and serotonin. Serratiopeptidase also has a proteolytic and fibrinolytic effect. Protein i.e. bovine serum albumin was used to entrap serratiopeptidase enzyme. Protease activity of the enzyme was checked and method was validated to access the active enzyme concentration during formulation. Solvent desolvation method was used for the preparation of BSA nanoparticles. Effect of buffer pH was checked on the enzyme activity. Chloroform was selected and used as solvent for nanoparticle preparation. Effect of various variables such as concentration of BSA, agitation rate, glutarldehyde concentration, time of crosslinking etc. on the formulation was studied. Formed nanoparticles were characterized for drug content, in-vitro release, entrapment efficiency, particle size and size distribution. The formed serratiopeptidase loaded albumin nanoparticles may be used for the treatment of arthritis.