Miracle-dz/UniFAR-FTUs huggingface dataset:
A systematic review of community pharmacist practices in complementary medicine

Background: The people who use complementary medicines (CMs) believe that these medicines are safe and harmless. They could easily access CMs like herbal or traditional medicines in community pharmacies. Therefore, community pharmacists are important professionals in advising the safe choices of CMs and providing evidence-based information for customers to decrease adverse effects of CMs. Objectives: To systematically review knowledge, attitude, and practices of community pharmacists about CMs, and the factors associated with CM practices of dispensing, recommending and counseling patients, and answering the patients’ queries. Method: An electronic search was performed with four databases: PubMed, Scopus, SpringerLink and ScienceDirect, from 1990 to 19th May 2022. The inclusion criteria were studies 1) about knowledge, attitude, and/or practices of community pharmacists about CMs, 2) written in English, 3) conducted with quantitative methods, and 4) able to retrieve full text. Results: Twenty-three studies were included in this systematic review. Some studies showed that less than half of the pharmacists asked or counselled about CMs to their patients and answered the patients’ queries about CMs. Only 20% of the pharmacists did report CM side-effects. Training or education about CMs was a common factor associated with the CM practice of dispensing, recommending, counseling, and answering the patients’ queries about CMs. CMs recommended most by community pharmacists were vitamins & minerals, food or dietary supplements, fish oil and probiotics. The most common dispensed CMs were vitamins & minerals, herbs, food or dietary supplements, fish oil and essential oils. Lacks of reliable information sources and scientific evidence were common barriers for the CM practices. Being less expensive than conventional medicines motivated the pharmacists to recommend and discuss about CMs. The community pharmacists that participated in included studies suggested strengthening CM trainings and highlight the pharmacist role in CM therapy. Conclusion: A high percentage of community pharmacists did dispense CMs to their patients, while a low percentage of the pharmacists did report CM side effects. Pharmacists were most comfortable recommending and responding the patients’ CM queries. Training or education about CMs associated with CM dispensing, recommending, discussing, and answering the patients’ queries about CMs was recommended.
Mind your MANRS: measuring the MANRS ecosystem

Mutually Agreed Norms on Routing Security (MANRS) is an industry-led initiative to improve Internet routing security by encouraging participating networks to implement a series of mandatory or recommended actions. MANRS members must register their IP prefixes in a trusted routing database and use such information to prevent propagation of invalid routing information. MANRS membership has increased significantly in recent years, but the impact of the MANRS initiative on the overall Internet routing security remains unclear. In this paper, we provide the first independent look into the MANRS ecosystem by using publicly available data to analyze the routing behavior of participant networks. We quantify MANRS participants' level of conformance with the stated requirements, and compare the behavior of MANRS and non-MANRS networks. While not all MANRS members fully comply with all required actions, we find that they are more likely to implement routing security practices described in MANRS actions. We assess the relevance of the MANRS effort in securing the overall routing ecosystem. We found that as of May 2022, over 83% of MANRS networks were conformant to the route filtering requirement by dropping BGP messages with invalid information according to authoritative records, and over 95% were conformant to the routing information facilitation requirement, registering their resources in authoritative databases.
A Lane-Changing Decision-Making Model of Bus Entering considering Bus Priority Based on GRU Neural Network

A mandatory lane change occurs when buses are ready to enter the station, which will easily cause a reduction of urban road capacity and induce traffic congestion. Using deep learning methods to make lane-changing decisions has become one of the research hotspots in the field of public transportation, especially with the development of the Cooperative Vehicle-Infrastructure System. Aiming at the exploration of the bus lane-changing rules and decisions during entering, we built a GRU neural network model considering bus priority by using the first real-world V2X (vehicle to everything) dataset. Firstly, we illustrated the image and point cloud data processing by coordinate transformation. Secondly, the Kalman filtering algorithm was used to evaluate the vehicle state. Combined with the bus priority rules, we propose a flexible right-of-way lane in front of the bus stop. And then, we obtain the feature variables as inputs to the model. The XGBoost algorithm was chosen to train the GRU model. Results show that the model has higher identification accuracy for lane-changing maneuvers by comparison with other models. It plays a very important role in providing a decision basis for more refined bus operation management.
FORMATION OF STABLE MAGNETARS FROM BINARY NEUTRON STAR MERGERS

By performing fully general relativistic magnetohydrodynamic simulations of binary neutron star mergers, we investigate the possibility that the end result of the merger is a stable magnetar. In particular, we show that, for a binary composed of two equal-mass neutron stars (NSs) of gravitational mass M ∼ 1.2 M☉ and equation of state similar to Shen et al. at high densities, the merger product is a stable NS. Such NS is found to be differentially rotating and ultraspinning with spin parameter J/M2 ∼ 0.86, where J is its total angular momentum, and it is surrounded by a disk of ≈0.1 M☉. While in our global simulations the magnetic field is amplified by about two orders of magnitude, local simulations have shown that hydrodynamic instabilities and the onset of the magnetorotational instability could further increase the magnetic field strength up to magnetar levels. This leads to the interesting possibility that, for some NS mergers, a stable and magnetized NS surrounded by an accretion disk could be formed. We discuss the impact of these new results for the emission of electromagnetic counterparts of gravitational wave signals and for the central engine of short gamma-ray bursts.
Electric field dependence of characteristic temperatures in PbSc0.5Ta0.5O3 and Pb0.78Ba0.22Sc0.5Ta0.5O3 relaxors studied via acoustic emission

Two model relaxor ferroelectrics PbSc0.5Ta0. 5O3 (undergoing a spontaneous para-to-ferroelectric phase transformation) and Pb0.78Ba0. 22Sc0.5Ta0. 5O3 (no long-range ferroelectric order in the absence of an external electric field) were studied by acoustic emission in the temperature range 200–600 K under a dc field E. Both compounds exhibit a para-to-antiferroelectric transformation at Tn, which is slightly above the temperature of the dielectric-permittivity maximum. For both compounds the intermediate temperature T* increases linearly with increasing E. The dT*/dE slope is larger than that of the ferroelectric transformation temperature Tc, similar to the transformation phenomena in BaTiO3. The T*(E) increase is suggested to be due to enhanced dipole polarizations inside the polar nanoregions.
Applications of Lie Groups to Difference Equations

Preface Introduction Brief introduction to Lie group analysis of differential equations Preliminaries: Heuristic approach in examples Finite Differences and Transformation Groups in Space of Discrete Variables The Taylor group and finite-difference derivatives Difference analog of the Leibniz rule Invariant difference meshes Transformations preserving the geometric meaning of finite-difference derivatives Newton's group and Lagrange's formula Commutation properties and factorization of group operators on uniform difference meshes Finite-difference integration and prolongation of the mesh space to nonlocal variables Change of variables in the mesh space Invariance of Finite-Difference Models An invariance criterion for finite-difference equations on the difference mesh Symmetry preservation in difference modeling: Method of finite-difference invariants Examples of construction of difference models preserving the symmetry of the original continuous models Invariant Difference Models of Ordinary Differential Equations First-order invariant difference equations and lattices Invariant second-order difference equations and lattices Invariant Difference Models of Partial Differential Equations Symmetry preserving difference schemes for the nonlinear heat equation with a source Symmetry preserving difference schemes for the linear heat equation Invariant difference models for the Burgers equation Invariant difference model of the heat equation with heat flux relaxation Invariant difference model of the Korteweg-de Vries equation Invariant difference model of the nonlinear Shrodinger equation Combined Mathematical Models and Some Generalizations Second-order ordinary delay differential equations Partial delay differential equations Symmetry of differential-difference equations Lagrangian Formalism for Difference Equations Discrete representation of Euler's operator Criterion for the invariance of difference functionals Invariance of difference Euler equations Variation of difference functional and quasi-extremal equations Invariance of global extremal equations and properties of quasiextremal equations Conservation laws for difference equations Noether-type identities and difference analog of Noether's theorem Necessary and sufficient conditions for global extremal equations to be invariant Applications of Lagrangian formalism to second-order difference equations Moving mesh schemes for the nonlinear Shrodinger equation Hamiltonian Formalism for Difference Equations: Symmetries and First Integrals Discrete Legendre transform Variational statement of the difference Hamiltonian equations Symplecticity of difference Hamiltonian equations Invariance of the Hamiltonian action Difference Hamiltonian identity and Noether-type theorem for difference Hamiltonian equations Invariance of difference Hamiltonian equations Examples Discrete Representation of Ordinary Differential Equations with Symmetries The discrete representation of ODE as a series Three-point exact schemes for nonlinear ODE Bibliography Index
hsa_circ_0003176 Suppresses the Progression of Non-Small-Cell Lung Cancer via Regulating miR-182-5p/RBM5 Axis

Background Non-small-cell lung cancer (NSCLC) is one of the major diseases that threaten human health, and there is still no fundamental treatment method. Emerging evidences suggested that circRNAs might be an effective target to treatment NSCLC. However, the roles and detailed mechanisms of hsa_circ_0003176 in NSCLC still not clear. Methods hsa_circ_0003176 was identified from GSE101684 and GSE112214 datasets of Gene Expression Omnibus (GEO) database. The expression of hsa_circ_0003176 was detected by RT-qPCR in NSCLC tissues, paired adjacent nontumor tissues, and cell lines. RNA fluorescence in situ hybridization and nuclear and cytoplasmic RNA fractionation analysis was used to detect the subcellular localization of hsa_circ_0003176 in H1299 and A549 cells. Dual-luciferase reporter and RNA pull-down assay were used to confirm the regulatory of miR-182-5p to hsa_circ_0003176 and RBM5. The roles of hsa_circ_0003176 in NSCLC progression was evaluated both in vitro by CCK-8 assay, colony formation assay, wound-healing assay, and matrigel transwell assay and in vivo by the subcutaneous xenograft nude mouse experiment and lung metastasis nude mouse experiment. In addition, RNA pull down and luciferase reporter assays were carried out to investigate the interaction between hsa_circ_0003176 or RBM5 and miR-182-5p. Results Our results indicated that hsa_circ_0003176 showed typical characteristic of circRNAs, which was downregulated in both NSCLC tissues and cell lines. Functionally, overexpression of hsa_circ_0003176 suppressed the proliferation, migration, and invasion of NSCLC cells in vitro and inhibited NSCLC growth and metastasis in vivo. Furthermore, we found that hsa_circ_0003176 acts as sponge of miR-182-5p to regulate RBM5 expression. Further, in vitro rescue experiments demonstrated that hsa_circ_0003176 suppressed the proliferation, migration, and invasion of NSCLC cells by regulating miR-182-5p/RBM5 axis. Conclusion We demonstrated that hsa_circ_0003176 suppressed the NSCLC progression via regulating miR-182-5p/RBM5 axis. These data indicated that hsa_circ_0003176 might be a novel molecular target for NSCLC treatment.
A regularity theory for harmonic maps

0. Introduction In this paper we develop a regularity theory for energy minimizing harmonic maps into Riemannian manifolds. Let u: M -> N be a map between Riemannian manifolds of dimension n and k. It was shown by C. B. Morrey [17] in 1948 that if n — 2, then an energy minimizing harmonic map is Holder continuous (and smooth if M and N are smooth). Since that time results have been found under special assumptions on N. Eells and Sampson [5] proved in 1963 that if N is compact and has nonpositive curvature, then every homotopy class of maps from a closed manifold M into N has a smooth harmonic representative. In the case where the image of the map is contained in a convex ball of N9 there is a complete existence and regularity theory due to Hildebrandt and Widman [15] as well as Hildebrandt, Kaul and Widman [13]. Recently Giaquinta and Giusti obtained results for the case in which the image lies in a coordinate chart [9], [10]. In this paper we show that a bounded, energy minimizing map u: M -» N is regular (in the interior) except for a closed set S of Hausdorff dimension at most n — 3. We also show S is discrete for n = 3. Moreover, we derive techniques (see Theorem IV) for lowering the dimension of S under the condition that certain smooth harmonic maps of spheres into N are trivial. This can be checked in some interesting cases, for example if N has nonpositive curvature or if the image of the map lies in a convex ball of N, we show S = 0 and any minimizing harmonic map into such a manifold is smooth. Using our methods, it is possible to reduce the dimension of S if N is a sphere or Lie group by studying harmonic spheres in N. Our methods work for functional which are the energy plus lower order terms, and thus have direct bearing on the question of the existence of global Coulomb gauges in nonabelian gauge theories. We point out that there is a strong historical precedent for partial regularity results in problems involving elliptic systems (see Almgren [1], De Giorgi [3],
Structural damage diagnosis using frequency response functions and orthogonal matching pursuit: theoretical development

A structural damage diagnosis procedure that directly uses the frequency response function is developed. Frequency response data from a possibly damaged system and a finite element model of the healthy system are used to form a damage residual—a mathematical proxy or signature of structural damage. This damage residual can be calculated in the presence of incomplete measurements and at multiple frequencies. A system of equations is then formed, which relates the damage residual to the actual damage on each element represented as a fractional stiffness loss. Therefore, only damage affecting the stiffness properties of the structure is considered here. Classical dynamic model condensation is used in the formation of these equations to overcome the coordinate mismatch created by the incomplete measurement problem.
Ormosia corcovada, a New Papilionoid Legume from the Bajo Cauca Region of Northeastern Colombia

Abstract The new species Ormosia corcovada (Fabaceae, Papilionoideae, Ormosieae) from the lower Cauca River basin in NW Colombia is described and illustrated, and its taxonomic affinities are discussed. Specimens of Ormosia corcovada are usually confused with Ormosia holerythra. Both species belong to Ormosia section Unicolores but are geographically and morphologically distinct, especially with respect to leaflet shape and number of secondary veins. Resumen Se describe Ormosia corcovada (Fabaceae, Papilionoideae, Ormosieae), una nueva especie de la región del Bajo Cauca, NO de Colombia. La nueva especie se ilustra y se discuten sus relaciones taxonómicas. Los especímenes de Ormosia corcovada son usualmente determinados como Ormosia holerythra Ducke. Ambas especies pertenecen a Ormosia sección Unicolores, pero su distribución geográfica y morfología, principalmente de folíolos y número de nervaduras secundarias, son diferentes.
Topological black holes in pure Gauss-Bonnet gravity and phase transitions

We study charged, static, topological black holes in pure Gauss-Bonnet gravity in asymptotically AdS space. As in general relativity, the theory possesses a unique nondegenerate AdS vacuum. It also admits charged black hole solutions which asymptotically behave as the Reissner-NordstrAdS black hole. We discuss black hole thermodynamics of these black holes. Then we study phase transitions in a dual quantum field theory in four dimensions, with the Stuckelberg scalar field as an order parameter. We find in the probe limit that the black hole can develop hair below some critical temperature, which suggests a phase transition. Depending on the scalar coupling constants, the phase transition can be first or second order. Analysis of the free energy reveals that, comparing the two solutions, the hairy state is energetically favorable, thus a phase transition will occur in a dual field theory.
A spin chain with spiral orders: perspectives of quantum information and mechanical response

In this paper, we study the ground state of a one-dimensional exactly solvable model with a spiral order. While the model's energy spectra is the same as the one-dimensional transverse field Ising model, its ground state manifests spiral order with various periods. The quantum phase transition from a spiral-order phase to a paramagnetic phase is investigated in perspectives of quantum information science and mechanics. We show that the modes of the ground-state fidelity and its susceptibility can tell the change of periodicity around the critical point. We study also the spin torsion modulus which defines the coefficient of the potential energy stored under a small rotation. We find that at the critical point, it is a constant; while away from the critical point, the spin torsion modulus tends to zero.
ANTIFUNGAL SUBSTANCES FROM SOME LACTIC ACID BACTERIA AND PROPIONIBACTERIA FOR USE AS FOOD PRESERVATIVES

The antifungal activity of some lactic acid bacteria and Propionibacterium thoenii against some yeasts and moulds was tested by using well agar diffusion assay. Also, the nutritional requirements for the synthesis of antifungal substances (AFS) by tested culture were investigated. Out of the tested cultures, the most promising cultures having a broad spectrum of antifungal activity was Lactobacillus reuteri followed by Lactobacillus acidophilus . A combination between pairs of AFS was found to be the most active against tested yeasts and moulds. Among six media tested, trypticase soy broth was found to be the best medium for production of antifungal substances by L. reuteri and L. acidophilus . While, Elliker broth and sodium lactate broth supported maximum production of AFS by Lactobacillus rhamonsus, Pediococcus acidilactici and Prop. thoenii . Optimum antifungal activity was noticed when L. reuterii grown at 37  C for 16 h. Organic nutrients such as glucose and yeast extract, as well as NaCl and CaCl 2 influnced the production of antifungal substances when added to the growth medium. Each stimulated production at some concentrations. The efficacy of antifungal substances was determined to control the yeast and mould in Domiati cheese over long storage (21 d) at 7  C. Shelf-life analysis demonstrated that incorporation of antifungal substance produced by L. reuteri at a level of 10% could effectively inhibit the growth of Saccharomyces cerevisiae and Penicillum spp.
Fully nonlinear weakly dispersive modelling of wave transformation, breaking and runup

To describe the strongly nonlinear dynamics of waves propagating in the final stages of shoaling and in the surf and swash zones, fully nonlinear models are required. The ability of the Serre or Green Naghdi (S-GN) equations to reproduce this nonlinear processes is reviewed. Two high-order methods for solving S-GN equations, based on Finite Volume approaches, are presented. The first one is based on a quasi-conservative form of the S-GN equations, and the second on a hybrid Finite Volume/Finite Difference method. We show the ability of these two approaches to accurately simulate nonlinear shoaling, breaking and runup processes.
Correlation between Glycated Haemoglobin Level, Cardiac Function, and Prognosis in Patients with Diabetes Mellitus Combined with Myocardial Infarction

Objective This study was to investigate the correlation between glycated haemoglobin (HbA1c) level, cardiac function, and prognosis in patients with diabetes mellitus combined with myocardial infarction. Methods Ninety-three patients with type 2 diabetes mellitus combined with acute myocardial infarction who were hospitalized and treated in our hospital from January 2021 to June 2021 were recruited for prospective analysis and equally divided into group A (HbA1c < 6.5%), group B (6.5% ≤ HbA1c ≤ 8.5%), and group C (HbA1c > 8.5%) using the random number table method, with 31 patients in each group. General data of patients were collected on admission and blood glucose and cardiac function indexes were measured; the incidence of myocardial infarction and death during the follow-up period was recorded at 6 months after discharge. Results There was a significant difference in blood glucose (FBG) and HbA1c levels at fasting between the three groups (P < 0.05). There were statistically significant differences in plasma levels of N-terminal probrain natriuretic peptide (NT-proBNP) and uric acid (UA), left ventricular end diastolic diameter (LVEDD), left ventricular end systolic volume (LVESV), left ventricular ejection fraction (LVEF), and cardiac function classification of the New York Heart Association (NYHA) among the three groups (P < 0.05). By statistical analysis, the HbA1c level was positively correlated with FBG, NT-proBNP, UA, LVEDD, LVESD, and NYHA grades but negatively correlated with LVEF (P < 0.05). The incidence rate of myocardial infarction and mortality was significantly higher in group C than in groups A and B (P < 0.05). Conclusion HbA1c level in patients with diabetes mellitus combined with myocardial infarction is closely related to the degree of cardiac function damage. Glycated haemoglobin levels are associated with the development of cardiac insufficiency in patients with acute myocardial infarction; glycated haemoglobin is also an independent predictor of major adverse cardiovascular events. Reasonable and effective blood glucose control is of great significance to the prognosis of patients.
Image classification based deep learning: A Review

— The image classification is a classical problem of image processing, computer vision and machine learning fields. Image classification is a complex procedure which relies on different components. In this paper we study the image classification using deep learning. computer vision science, image classification implementation, and deep neural networks are presented. This article discusses The development of a Convolutional Neural Network (CNN) and its various architectures, which have shown great efficiency and evaluation in image classification. A literature review is conducted to illustrate the significance and the details of Convolutional Neural Networks in various applications.