bluuebunny/crossref_metadata_2025 huggingface dataset:
Non‐pharmacological interventions for pollen‐induced allergic symptoms: Systematic literature review
Authors: Schutzmeier Paul , Kutzora Susanne , Mittermeier Isabella , Becker Jana , Bergmann Karl‐Christian , Böse‐O’Reilly Stephan , Buters Jeroen , Damialis Athanasios , Heinrich Joachim , Kabesch Michael , Mertes Hanna , Nowak Dennis , Korbely Christine , Walser‐Reichenbach Sandra , Weinberger Alisa , Heinze Stefanie , Steckling‐Muschack Nadine , Herr Caroline
Published: October 2021

Background

Allergic diseases pose a health problem worldwide. Pollen are widespread aeroallergens which can cause symptoms like shortness of breath, cough, itchy eyes, or rhinitis. Apart from preventive measures and pharmacological treatment, also non‐pharmacological interventions have been suggested to reduce symptoms. The objective of this work was to review studies investigating the effectiveness of non‐pharmacologic interventions to reduce allergic symptoms.

Methods

PubMed, EMBASE, and CENTRAL were systematically reviewed in July 2018 and April 2020. Several authors worked on the screening of titles, abstracts, and full texts. One author for each literature search performed the data extraction and the risk of bias assessment. Studies were included if they met the inclusion criteria defined by the PECOs. Studies which investigating the effect of non‐pharmacologic interventions on patients with allergic rhinitis were included.

Results

Twenty‐nine studies investigating eleven types of non‐pharmacologic interventions to avoid and reduce allergic symptoms due to pollen exposure were included in this review. Out of all studies, seven studies addressed nasal rinsing and 22 included acupuncture, air filtering, artisanal tears, individual allergen avoidance advice, various nasal applications, self‐hypnosis, rhinophototherapy, and wraparound sunglasses.

Conclusion

Most studies had a high risk of bias and small sample sizes. There were only a few high‐quality studies that give hints about the effectiveness of non‐pharmacological interventions. For future research, more high‐quality studies are required to confirm the effectiveness of simple, safe, and cost‐effective interventions.
Genome and systems biology of Melilotus albus provides insights into coumarins biosynthesis
Authors: Wu Fan , Duan Zhen , Xu Pan , Yan Qi , Meng Minghui , Cao Mingshu , Jones Chris S. , Zong Xifang , Zhou Pei , Wang Yimeng , Luo Kai , Wang Shengsheng , Yan Zhuanzhuan , Wang Penglei , Di Hongyan , Ouyang Zifeng , Wang Yanrong , Zhang Jiyu
Published: October 2021

Melilotus species are used as green manure and rotation crops worldwide and contain abundant pharmacologically active coumarins. However, there is a paucity of information on its genome and coumarin production and function. Here, we reported a chromosome‐scale assembly of Melilotus albus genome with 1.04 Gb in eight chromosomes, containing 71.42% repetitive elements. Long terminal repeat retrotransposon bursts coincided with declining of population sizes during the Quaternary glaciation. Resequencing of 94 accessions enabled insights into genetic diversity, population structure, and introgression. Melilotus officinalis had relatively larger genetic diversity than that of M. albus. The introgression existed between M. officinalis group and M. albus group, and gene flows was from M. albus to M. officinalis. Selection sweep analysis identified candidate genes associated with flower colour and coumarin biosynthesis. Combining genomics, BSA, transcriptomics, metabolomics, and biochemistry, we identified a β‐glucosidase (BGLU) gene cluster contributing to coumarin biosynthesis. MaBGLU1 function was verified by overexpression in M. albus, heterologous expression in Escherichia coli, and substrate feeding, revealing its role in scopoletin (coumarin derivative) production and showing that nonsynonymous variation drives BGLU enzyme activity divergence in Melilotus. Our work will accelerate the understanding of biologically active coumarins and their biosynthetic pathways, and contribute to genomics‐enabled Melilotus breeding.
In vitro activity of isothiocyanates against Fusarium graminearum
Authors: Ashiq Samina , Edwards Simon G. , Fatukasi Olajide , Watson Andrew , Back Matthew A.
Published: October 2021

Isothiocyanates are biotoxic degradation products formed as a result of enzymatic hydrolysis of glucosinolates present in Brassica species. The application of biofumigant Brassica crops, as an alternative crop protection method for soilborne pathogens and pests is increasingly gaining interest. However, little is known of the potential of biofumigation to reduce the inoculum of Fusarium species affecting cereals. The aim of this study was to evaluate the antifungal activity of five isothiocyanates, namely allyl, benzyl, ethyl, 2‐phenylethyl and methyl isothiocyanates, against germination and growth of Fusarium graminearum under in vitro conditions. Aromatic isothiocyanates were more inhibitory than the aliphatic isothiocyanates against mycelial growth, whereas the reverse was observed for conidial germination. Among the tested isothiocyanates, allyl and methyl isothiocyanates were more efficient overall, showing lower ED50 values (35–150 mg/L) for conidial germination and mycelial radial growth. The findings suggest that Brassica plants containing allyl and methyl glucosinolates could have a suppressive effect, reducing the inoculum of F. graminearum in soil prior to cereal production.
Characterization and proteomics of chicken seminal plasma extracellular vesicles
Authors: Luo Xuliang , Guo Yan , Huang Ying , Cheng Manman , Wu Xiaohui , Gong Yanzhang
Published: October 2021

In mammals, seminal plasma extracellular vesicles (SPEVs) can regulate sperm motility and capacitation. The characteristics and functions of SPEVs in avians have been rarely reported. In this study, chicken SPEVs were isolated and characterized by transmission and scanning electron microscopy (TEM/SEM) and nanoparticle tracking analysis (NTA); furthermore, seven extracellular vesicle (EVs) marker proteins were detected by Western blot (WB). TEM revealed that chicken SPEVs had a classic bilayer membrane structure. NTA confirmed that the size of SPEVs was 30–250 nm, and concentration ranged from 8.0 E + 11–8.5 E + 11 particles/ml. There were 3073 SPEVs proteins identified by deep sequencing, including 2794 intracellular proteins and 279 extracellular proteins. The overlap rate of proteomes between chicken SPEVs and vesicles reported in the Vesiclepedia database reached 86%, and 360 new proteins that had not been reported by the ExoCarta and Vesiclepedia databases were identified in chicken SPEV proteomes. Gene Ontology (GO) analysis revealed that chicken SPEV proteins were mainly enriched in supplying energy and transporting protein. There were 4 IFT family proteins speculated to play an important role in sperm composition and function. Our data were compared with two previously published studies on the proteomics of chicken seminal plasma (SP) and hen uterine fluid, and some overlapping proteins described in chicken SPEVs had been identified in hen uterine fluid (545) and chicken SP (284). In conclusion, these findings will increase our understanding of the content and composition of proteome in SPEVs and provide new insights into the important role of the SPEV regulation in sperm functions.
Genomic diversity and resistome profiles of Salmonella enterica subsp. enterica serovar Kentucky isolated from food and animal sources in Ireland
Authors: Slowey Rosemarie , Kim Seon Woo , Prendergast Deirdre , Madigan Gillian , Van Kessel Jo Ann S. , Haley Bradd J.
Published: October 2021

Salmonella enterica subsp. enterica serovar Kentucky is frequently isolated from poultry, dairy and beef cattle, the environment and people with clinical salmonellosis globally. However, the sources of this serovar and its diversity and antimicrobial resistance capacities remain poorly described in many regions. To further understand the genetic diversity and antimicrobial sensitivity patterns among S. Kentucky strains isolated from non‐human sources in Ireland, we sequenced and analysed the genomes of 61 isolates collected from avian, bovine, canine, ovine, piscine, porcine, environmental and vegetation sources between 2000 and 2016. The majority of isolates (n = 57, 93%) were sequence type (ST) 314, while only three isolates were ST198 and one was ST152. Several isolates were multidrug‐resistant (MDR) and 14 carried at least one acquired antimicrobial resistance gene. When compared to a database of publicly available ST314, four distinct clades were identified (clades I–IV), with the majority of isolates from Ireland clustering together in Clade I. Two of the three ST198 isolates were characteristic of those originating outside of the Americas (Clade ST198.2), while one was distantly clustered with isolates from South and North America (Clade ST198.1). The genomes of the two clade ST198.2 isolates encoded Salmonella Genomic Island 1 (SGI1), were multidrug‐resistant and encoded polymorphisms in the DNA gyrase (gyrA) and DNA topoisomerase (parC) known to confer resistance to fluoroquinolones. The single ST152 isolate was from raw beef, clustered with isolates from food and bovine sources in North America and was pan‐susceptible. Results of this study indicate that most S. Kentucky isolates from non‐human sources in Ireland are closely related ST314 and only a few isolates are antimicrobial‐resistant. This study also demonstrates the presence of multidrug‐resistant ST198 in food sources in Ireland.
Analytical Approximations for Dry Friction-Induced Stick–Slip and Pure-Slip Vibration Amplitudes of a Self-Excited Smooth and Discontinuous Oscillator
Authors: Yan Junfeng , Huang Zehao
Published: October 2021

An analytical and numerical investigation into pure-slip and stick–slip oscillations induced by dry friction between a rigid mass linked by an inclined spring, modeled by the archetypal self-excited smooth and discontinuous (SD) oscillator, and the classical moving rigid belt, is presented. The friction force between surface contacts is modeled in the sense of Stribeck effect to formulate the friction model that the friction force first decreases and then increases with increasing relative sliding speed. Some perturbation methods are considered into this system for establishing the approximate analytical expressions of the occurring conditions, vibration amplitudes, and base frequencies of dry friction-induced stick–slip and pure-slip oscillations. For pure-slip oscillations, two different approaches are applied to analyze this self-excited SD oscillator. One of them is the homotopy perturbation method by constructing the nonlinear amplitude and frequency. Based on the multiple-scales homotopy perturbation method, a nonlinear equation for amplitude of the analytical approximate solution is constructed, which containing all parameters of problem. For stick–slip oscillations, the analytical approximations for amplitude and frequency are obtained by perturbation methods for finite time intervals of the stick phase, which is linked to the subsequent slip phase under the conditions of continuity and periodicity. The accuracy of analytical approximations is verified by the comparison between analytical approximations and numerical simulations. These analytical expressions are needed for gaining a deeper understanding of dry friction-induced pure-slip and stick–slip oscillations for the friction system with geometric nonlinearity.
Analysis of Dynamic Characteristics of a Fractional-Order Spur Gear Pair With Internal and External Excitations
Authors: Hou Jing-Yu , Yang Shao-Pu , Li Qiang , Liu Yong-Qiang
Published: October 2021

The nonlinear frequency response characteristics of a spur gear pair with fractional-order derivative under combined internal and external excitations are investigated based on the incremental harmonic balance (IHB) method. First, a pure torsional vibration model is proposed that contains various complex factors, such as the time-varying mesh stiffness, transmission error, the fluctuation of input torque, backlash. Then, the IHB method is developed to calculate the higher-order approximate solution of the system, and the correctness of the results is verified by comparing with numerical simulation results obtained by the power series expansion (PSE) method. Furthermore, the types of various impact situations and their judgment conditions are discussed, and the different impact behaviors are analyzed in detail when ω∈[0, 1.5] by using phase diagrams and amplitude–frequency response curves. The influence of important parameters on the dynamic characteristics of gear pair is analyzed at last. The results indicate that the analytical solution derived by IHB method is sufficiently precise. Significantly, the dynamic characteristics of the system could be effectively controlled by adjusting time-varying mesh stiffness coefficient, the order and coefficient of fractional-order term, and the amplitude of internal excitation or external excitation. As a part of the theory of fractional-order mechanical system, the impact performance of fractional-order gear pair is approached for the first time by analytical method.
Fatigue Damage Management According to Performance-Based Maintenance Concept
Authors: Kamaya Masayuki
Published: October 2021

A maintenance concept of performance-based maintenance (PBM) has been proposed by the current author. According to the PBM concept, inspection results are considered in determining the next inspection schedule. In this study, this concept was applied to fatigue degradation for stainless steel components in the pressurized water reactor (PWR) primary water environment. It is possible to estimate the fatigue life for the PWR water environment from that obtained in an air environment and the parameter Fen, which represents the ratio of the fatigue life in the air and PWR water environments. It was shown that the fatigue life prediction using Fen can be replaced by the crack growth analysis using the growth rate for the PWR water environment. Then, the crack growth was predicted for a thermal loading assuming the growth occurred in the PWR water environment. It was shown that the duration until the next inspection could be optimized based on the inspection results together with the crack growth curve. A longer operation before the inspection assured a longer duration until the next inspection.
How Kinesiology Leaders Can Use the Constructs of Adaptive, Complexity, and Transformational Leadership to Anticipate and Prepare for Future Possibilities
Authors: Duke Lara M. , Gorman Jennifer P. , Browne Jennifer M.
Published: October 2021

In this article, we present a rationale for infusing adaptive, complexity, and transformational leadership theories into the kinesiology leader’s praxis. Understanding and incorporating these theories will prepare kinesiology leaders to respond to the emerging trends influencing the future of higher education and work leading into the Fourth Industrial Revolution. Specifically, we discuss the impact of the pandemic, which has transformed the way students and academics approach curriculum and pedagogy. We conclude the article with a discussion of the future of higher education and work and explore ways to cultivate kinesiology leadership approaches for anticipatory thinking and planning to respond to the transformation occurring in our field.
Shimura curves in the Prym loci of ramified double covers
Authors: Frediani Paola , Grosselli Gian Paolo
Published: October 2021

We study Shimura curves of PEL type in the space of polarized abelian varieties [Formula: see text] generically contained in the ramified Prym locus. We generalize to ramified double covers, the construction done in [E. Colombo, P. Frediani, A. Ghigi and M. Penegini, Shimura curves in the Prym locus, Commun. Contemp. Math. 21(2) (2019) 1850009] in the unramified case and in the case of two ramification points. Namely, we construct families of double covers which are compatible with a fixed group action on the base curve. We only consider the case of one-dimensional families and where the quotient of the base curve by the group is [Formula: see text]. Using computer algebra we obtain 184 Shimura curves contained in the (ramified) Prym loci.
Reconstructions of f(P) gravity from (m,n) type ordinary and entropy-corrected holographic and Pilgrim dark energy models
Authors: Ghosh Rahul , Debnath Ujjal , Chakraborty Shuvendu
Published: October 2021

Modified gravity models are popular among cosmologists, as they can describe the cosmological evolution quite efficiently. Reconstruction of newly introduced [Formula: see text] gravity, with the help of ordinary, power-law entropy corrected and logarithmic entropy-corrected versions of Holographic dark energy (HDE) and Pilgrim dark energy (PDE) models have been studied in this work. For such reconstruction, we have considered the power-law scale factor [Formula: see text]. Further, the classical stabilities (the squared speed of sound method) of such reconstructions and their implications on the nature of the equation of state (EoS) parameters and deceleration parameter with respect to red-shift have also been examined. Finally, we have computed the age of the universe for reconstructed models.
Dirac–Kratzer problem with spin and pseudo-spin symmetries in curved space–time
Authors: de Oliveira M. D.
Published: October 2021

In this work, the Dirac–Kratzer problem with spin and pseudo-spin symmetries in a deformed nucleus is analyzed. Thus, the Dirac equation in curved space–time was considered, with a line element given by [Formula: see text], where [Formula: see text] is a scalar potential, coupled to vector [Formula: see text] and tensor [Formula: see text] potentials. Defining the vector and scalar potentials of the Kratzer type and the tensor potential given by a term centrifugal-type term plus a term cubic singular at the origin, we obtain the Dirac spinor in a quasi-exact way and the eigenenergies numerically for the spin and pseudo-spin symmetries, so that these symmetries are removed due to the coupling of an Coulomb-type effective tensor potential coming from the curvature of space, however, when such potential is null the symmetries return. The probability densities were analyzed using graphs to compare the behavior of the system with and without spin and pseudo-spin symmetries.
Hydrogen storage on multiple palladium-decorated graphene
Authors: Lamichhane Saran , Pantha Nurapati , Khatry Bipin , Parajuli Prakash , Adhikari Narayan Prasad
Published: October 2021

The geometries, structural stability, electrical and magnetic characteristics of pure and multiple palladium (Pd)-adsorbed graphene, followed by hydrogen adsorption, are investigated using first-principles calculations with the density functional theory. In the DFT-D2 technique, first-principles computations with the van der Waals interaction are done using the generalized gradient approximation. In a [Formula: see text] supercell, the adsorption energy per Pd atom is found to be 1.20 eV in the optimal adsorption shape. The bandgap of 51 meV has opened in multiple Pd-decorated graphene, according to band calculations. This band’s opening is ascribed to a symmetry break. The binding energy for hydrogen adsorption in optimal double Pd-decorated graphene was determined to be in the range of (0.14–0.73) eV per hydrogen molecule, indicating that Pd-decorated graphene might be used as a hydrogen storage material.
Object Detection Via Flexible Anchor Generation
Authors: Ding Pengxin , Zhou Huan , Shang Jinxia , Zou Xiang , Wang Minghui
Published: October 2021

This paper designs a method that can generate anchors of various shapes for the object detection framework. This method has the characteristics of novelty and flexibility. Different from the previous anchors generated by a pre-defined manner, our anchors are generated dynamically by an anchor generator. Specially, the anchor generator is not fixed but learned from the hand-designed anchors, which means that our anchor generator is able to work well in various scenes. In the inference time, the weights of anchor generator are estimated by a simple network where the input is some hand-designed anchor. In addition, in order to make the difference between the number of positive and negative samples smaller, we use an adaptive IOU threshold related to the object size to solve this problem. At the same time, we proved that our proposed method is effective and conducted a lot of experiments on the COCO dataset. Experimental results show that after replacing the anchor generation method in the previous object detectors (such as SSD, mask RCNN, and Retinanet) with our proposed method, the detection performance of the model has been greatly improved compared to before the replacement, which proves our method is effective.
Medical Image Watermarking for Telemedicine Application Security
Authors: Amine Khaldi , Fares Kahlessenane , Redouane Kafi Med , Salah Euschi
Published: October 2021

In this work, we proposed a robust and blind watermarking approach to adequately secure medical images exchanged in telemedicine. This approach ensures the traceability and integrity of the medical and essential image for data security in the field of telemedicine. In this paper, a blind watermarking method is proposed to adequately secure the electronic patient records. The integration of the watermark will be carefully performed by combining the parity of the successive values. This innovative approach will be typically implemented in the three insertion domains: spatial, frequency and multi-resolution. For the spatial domain, the watermark will be integrated into the colorimetric values of the image. In the frequency domain, the watermark bits will be substituted to the DCT coefficient’s least significant bit. For the multi-resolution domain insertion, after calculating a DWT, the obtained LL sub-band coefficients will be used for the integration process. After comparing our approaches to the various recent works in the three domains, the obtained results demonstrate that our proposed approach offers a good imperceptibility for the frequency and spatial domains insertion.
Thermodynamically consistent modeling for complex fluids and mathematical analysis
Authors: Suzuki Yukihito , Ohnawa Masashi , Mori Naofumi , Kawashima Shuichi
Published: October 2021

The goal of this paper is to derive governing equations for complex fluids in a thermodynamically consistent way so that the conservation of energy and the increase of entropy is guaranteed. The model is a system of first-order partial differential equations on density, velocity, energy (or equivalently temperature), and conformation tensor. A barotropic model is also derived. In the one-dimensional case, we express the barotropic model in the form of hyperbolic balance laws, and show that it satisfies the stability condition. Consequently, the global existence of solutions around equilibrium states is proved and the convergence rates is obtained.
On some smooth symmetric transonic flows with nonzero angular velocity and vorticity
Authors: Weng Shangkun , Xin Zhouping , Yuan Hongwei
Published: October 2021

This paper concerns the structural stability of smooth cylindrically symmetric transonic flows in a concentric cylinder. Both cylindrical and axi-symmetric perturbations are considered. The governing system here is of mixed elliptic–hyperbolic and changes type and the suitable formulation of boundary conditions at the boundaries is of great importance. First, we establish the existence and uniqueness of smooth cylindrical transonic spiral solutions with nonzero angular velocity and vorticity which are close to the background transonic flow with small perturbations of the Bernoulli’s function and the entropy at the outer cylinder and the flow angles at both the inner and outer cylinders independent of the symmetric axis, and it is shown that in this case, the sonic points of the flow are nonexceptional and noncharacteristically degenerate, and form a cylindrical surface. Second, we also prove the existence and uniqueness of axi-symmetric smooth transonic rotational flows which are adjacent to the background transonic flow, whose sonic points form an axi-symmetric surface. The key elements in our analysis are to utilize the deformation-curl decomposition for the steady Euler system to deal with the hyperbolicity in subsonic regions and to find an appropriate multiplier for the linearized second-order mixed type equations which are crucial to identify the suitable boundary conditions and to yield the important basic energy estimates.
Improved Content Based Image Retrieval Process Based on Deep Convolutional Neural Network and Salp Swarm Algorithm
Authors: Satya Kumar Gangavarapu Venkata , Krishna Mohan P. G.
Published: October 2021

Digital image and medical image retrieval from several repositories are improving gradually, so the capacity of repositories increases rapidly. The semantic space is the main issue on content-based image retrieval (CBIR), which exists among the semantic level as well as increases the data recognized through human and low level visible data obtained through the image. The CBIR system utilizes the deep convolutional neural network (DCNN), which is trained to medical image characterization and the digital image by salp swarm optimization algorithm (SSA). The average classification accuracy for medical image is 86.805%, a mean average precision is 79%, Average Recall Rate (ARR) is 91.7% and [Formula: see text]-measure is 84.9%, are achieved during retrieval task. For image retrieval, the Average Precision Rate (APR) improved from 39%, 40%, 36% and 42.5% to 86.8% and the ARR enhanced from 39.5%, 40.5%, 35.5% and 42.5% to 86.8%. The [Formula: see text]-measure is improved from 39.5%, 40.5%, 35.5% and 42.5% to 86.8% as different with Local tetra patterns (LTrP), LOOP, local derivative pattern (LDP) and local mean differential excitation pattern (LMDeP) separately on Corel-1K dataset. The presented method is most suitable for multimodal digital images and medical image retrieval for various parts of the body.
On SS-supplemented subgroups of some sylow subgroups of finite groups
Authors: He Xuanli , Guo Qinghong , Huang Muhong
Published: October 2021

Let [Formula: see text] be a finite group. A subgroup [Formula: see text] of [Formula: see text] is called to be [Formula: see text]-permutable in [Formula: see text] if [Formula: see text] permutes with all Sylow subgroups of [Formula: see text]. A subgroup [Formula: see text] of [Formula: see text] is said to be [Formula: see text]-supplemented in [Formula: see text] if there exists a subgroup [Formula: see text] of [Formula: see text] such that [Formula: see text] and [Formula: see text] is [Formula: see text]-permutable in [Formula: see text]. In this paper, we investigate [Formula: see text]-nilpotency of a finite group. As applications, we give some sufficient and necessary conditions for a finite group belongs to a saturated formation.
A necessary condition for discrete branching laws for Klein four symmetric pairs
Authors: He Haian
Published: October 2021

We show a necessary condition for Klein four symmetric pairs [Formula: see text] satisfying the condition (D.D.); that is, there exists at least one infinite-dimensional simple [Formula: see text]-module that is discretely decomposable as a [Formula: see text]-module. This work is a continuation of [A criterion for discrete branching laws for Klein four symmetric pairs and its application to [Formula: see text], Int. J. Math. 31(6) (2020) 2050049]. Moreover, we define associated Klein four symmetric pairs, and we may use these tools to compute that a class of Klein four symmetric pairs do not satisfy the condition (D.D.); for example, [Formula: see text].
Synthesis and Antibacterial Activity of Silver Nanoparticles Against Escherichia coli and Pseudomonas sp.
Authors: Hoque Md. Irfanul , Rima Sultana Afrin Jahan , Uddin Md. Salah , Julkarnain M.
Published: October 2021

Silver nanoparticles (AgNPs) have been synthesized by chemical reduction method using ascorbic acid as reducing agent. Silver nitrate (AgNO[Formula: see text] and sodium dodecyl sulfate (SDS) have been used as precursor and stabilizer, respectively. The prepared samples were characterized by UV-visible spectroscopy, scanning electron microscopy (SEM) and X-ray diffraction (XRD). The antibacterial activity of prepared silver nanoparticles has been assessed by using the disc diffusion method against pathogenic, gram-negative bacterial strains including Escherichia coli and Pseudomonassp. To evaluate the potential antibacterial properties of AgNPs, the discs have been impregnated and dried with three different doses like 50, 100 and 150[Formula: see text][Formula: see text]l of 20[Formula: see text][Formula: see text]g/ml concentrated AgNPs solution and placed on the Petri-dishes. The antibiotic kanamycin (5[Formula: see text][Formula: see text]g) was used as control. In all the cases, a clear and distinct zone of inhibition is observed, which suggests that AgNPs can be used as effective growth inhibitors of various bacterial species and would be promising candidate for future development of antibacterial agents.
BODIPY-peptide conjugate: Synthesis, photo-physical and cell viability studies
Authors: Chavda Jaydeepsinh , Bhavsar Krishna , Gupta Sharad , Gupta Iti
Published: October 2021

The synthesis and biological studies of BODIPY-GPR peptide conjugate (BD-2) are reported. As compared to the parent BODIPY (BD-1), the peptide linked BD-2showed blue shifted absorption and emission with excellent Stokes shift of 201 nm. Molecular docking studies on EGFR protein kinase indicated very efficient binding affinity of BD-2 as compared to the standard drug (Erlotinib). The cell viability experiments of BD-2on normal (HEK293T) and lung cancer (A549) cell lines indicated 85–95% viability. Bioimaging studies showed that, BD-2was able to penetrate the lung cancer cell line.
On Gauss sums over Dedekind domains
Authors: Zheng Zhiyong , Chen Man , Xu Jie
Published: October 2021

It is a difficult question to generalize Gauss sums to a ring of algebraic integers of an arbitrary algebraic number field. In this paper, we define and discuss Gauss sums over a Dedekind domain of finite norm. In particular, we give a Davenport–Hasse type formula for some special Gauss sums. As an application, we give some more precise formulas for Gauss sums over the algebraic integer ring of an algebraic number field (see Theorems 4.1 and 4.2).
Optimal control application to the epidemiology of HBV and HCV co-infection
Authors: Jan Muhammad Naeem , Zaman Gul , Ali Nigar , Ahmad Imtiaz , Shah Zahir
Published: October 2021

It is very important to note that a mathematical model plays a key role in different infectious diseases. Here, we study the dynamical behaviors of both hepatitis B virus (HBV) and hepatitis C virus (HCV) with their co-infection. Actually, the purpose of this work is to show how the bi-therapy is effective and include an inhibitor for HCV infection with some treatments, which are frequently used against HBV. Local stability, global stability and its prevention from the community are studied. Mathematical models and optimality system of nonlinear DE are solved numerically by RK4. We use linearization, Lyapunov function and Pontryagin’s maximum principle for local stability, global stability and optimal control, respectively. Stability curves and basic reproductive number are plotted with and without control versus different values of parameters. This study shows that the infection will spread without control and can cover with treatment. The intensity of HBV/HCV co-infection is studied before and after optimal treatment. This represents a short drop after treatment. First, we formulate the model then find its equilibrium points for both. The models possess four distinct equilibria: HBV and HCV free, and endemic. For the proposed problem dynamics, we show the local as well as the global stability of the HBV and HCV. With the help of optimal control theory, we increase uninfected individuals and decrease the infected individuals. Three time-dependent variables are also used, namely, vaccination, treatment and isolation. Finally, optimal control is classified into optimality system, which we can solve with Runge–Kutta-order four method for different values of parameters. Finally, we will conclude the results for implementation to minimize the infected individuals.
On the Hofer girth of the sphere of great circles
Authors: Rauch Itamar Rosenfeld
Published: October 2021

An oriented equator of [Formula: see text] is the image of an oriented embedding [Formula: see text] such that it divides [Formula: see text] into two equal area halves. Following Chekanov, we define the Hofer distance between two oriented equators as the infimal Hofer norm of a Hamiltonian diffeomorphism taking one to another. Consider [Formula: see text] the space of oriented equators. We define the Hofer girth of an embedding [Formula: see text] as the infimum of the Hofer diameter of [Formula: see text], where [Formula: see text] is homotopic to [Formula: see text]. There is a natural embedding [Formula: see text], sending a point on the sphere to the positively oriented great circle perpendicular to it. In this paper, we provide an upper bound on the Hofer girth of [Formula: see text].
The effects of solvent viscosity on the morphology and photocatalytic activity of BiOBr catalysts
Authors: Ge Fengjuan , Zhu Jie , Xu Yan , Li Jing , Zhang Xueyang
Published: October 2021

BiOBr photocatalysts were prepared by changing the solvent and synthesis method. SEM, XRD and BET characterization shows that the sample prepared in high-viscosity solution by precipitation method has tremella-like microstructure, with smaller size and higher surface area. Among them, the BiOBr prepared in glycerol solution (GR-P) has the highest surface area of 113.8 m2⋅[Formula: see text]. XRD also indicates that the GR-P has much more exposed (110) facets than other samples. The Rhodamine B degradation tests show that the GR-P has the best activity on both deethylation and aromatic ring destruction steps, indicating that the exposed (110) facets promote the degradation process.
External Debts and Economic Growth when Debt Rating Matters
Authors: Hung Ly Dai
Published: October 2021

The paper investigates the dependence pattern of economic growth on external debt supply by accounting for the safety of debts, measured by the sovereign debt rating. The method of cross-section regression is based on a sample of 145 advanced and developing economies with averaged data over the 1990–2019 period. The pattern of economic growth follows a U-shaped curve, for which the growth rate is first decreasing and then increasing on the external debt supply. A possible explanation can rely on the sovereign debt rating. For low supply of external debts, more supply of debts reduces the debt rating, which, in turn, lowers the economic growth rate. But for high enough supply of debts, more debts raise their rating, improving the growth rate. These results are robust on controlling for various determinants of economic growth and on the fixed effect panel regression.
A Magnetic Reconfigurable Ternary NOR/NAND Logic for Logic-in-Memory Applications
Authors: Razi Farzad , Hossein Moaiyeri Mohammad , Mohammadi Siamak
Published: October 2021

Logic-in memory has emerged as a promising solution to reduce the significant time gap between processor and memory. Simple logics such as NOR and NAND can be embedded in the memory for the purpose of data processing. Besides, ternary logic has been suggested to reduce the interconnects and the complexity of operations. In this paper, a reconfigurable ternary NOR/NAND logic compatible with ternary memories has been proposed. This scheme exploits magnetic tunnel junction as a nonvolatile memory element and a variable resistance, and carbon nanotube field-effect transistor for designing the peripheral circuits to achieve performance and efficiency. The proposed circuit is simulated using HSPICE and the results have validated the correct operation and high performance of the proposed design. Furthermore, the proposed designs are exploited in image processing applications to evaluate their performance in real applications, which gain averagely 52% improvement in the case of data loss.
Optimistic and pessimistic economic sentiments and US Dollar exchange rate
Authors: Kumari Sonia , Oad Rajput Suresh Kumar , Hussain Rana Yassir , Marwat Jahanzeb , Hussain Haroon
Published: October 2021

This study investigates the affiliation of various proxies of economic sentiments and the US Dollar exchange rate, mainly focusing on the real effective exchange rate of USD pairing with three other major currencies (USDEUR, USDGBP, and USDCAD). The study has employed Google Trends data of economy optimistic and pessimistic sentiments index and survey-based economy sentiments data on monthly basis from January 2004 to December 2018. The study engaged Ordinary Least Squares (OLS) and Auto-Regressive Distributed Lag (ARDL) estimation techniques to evaluate the short-run and long-run effects of economy-related sentiments and macroeconomic variables on the exchange rate. The results from the study found that Economy Optimistic Sentiments Index (EOSI) and Economy Pessimistic Sentiments Index (EPSI) appreciate and depreciate the US Dollar exchange rate in the short-run, respectively. Our sentiment measures are robust to survey-based Michigan Consumer Sentiment Index (MSCI), Consumer Confidence Index (CCI), and various macroeconomic factors. The MSCI and CCI sentiments show a long-term impact on the foreign exchange market. This study implies that economic sentiments play a vital role in the foreign exchange market and it is essential to consider behavioral aspects when modeling the exchange rate movements.
3D printing of metallic micro-gears for micro-fluidic applications
Authors: Wang C. , Chandra S. , Tan X. P. , Tor S. B.
Published: October 2021

Micro-fluidic devices are essential to handle fluids on the micro-meter scale (micro-scale), making them crucial to biomedical applications, where micro-gear is the key component for active fluid mixing. Rapid and direct fabrication of micro-gears is preferred because they are usually custom-made to specific applications and iterative design is needed. However, conventional manufacturing (CM) techniques for micro-fluidic devices are labor-intensive and time-consuming as multiple steps are required. Three-dimensional (3D) printing, or formally known as additive manufacturing (AM) offers a promising alternative over CM techniques in producing near-net shape complex geometries, given the micro-scale fabrication process. In this work, two types of powder-bed fusion (PBF) AM techniques, namely laser-PBF (L-PBF) and electron beam-PBF (EB-PBF) are used to benchmark 3D-printed micro-gears from stainless steel 316L micro-granular powders. Results showcase the preeminence of L-PBF over EB-PBF in generating distinguishable micro-scale features on gear profiles and superior micro-hardness in mechanical property. Overall, PBF metal AM shows significant promise in advancing the otherwise tedious state of CM for micro-gears.
A Review of Anomaly Intrusion Detection Systems in IoT using Deep Learning Techniques
Authors: Alsoufi Muaadh A. , Razak Shukor , Siraj Maheyzah Md , Al-rimy Bander A. , Ali Abdulalem , Nasser Maged , Abdo Salah
Published: October 2021

The rise of the Internet of things (IoT) provides an intelligent environment. However, it demands a higher security effort due to its vulnerabilities. A number of studies have emphasized the area of anomaly intrusion detection and its use in various types of applications. The development of a robust anomaly intrusion detection system relies heavily on understanding complex structures from noisy data, identifying dynamic anomaly patterns, and detecting anomalies with insufficient labels. Therefore, an advanced approach of deep learning techniques is required for the purpose of achieving improved performance of anomaly detection rather than the unconventional approaches of shallow learning. However, the immense adaptations of IoT in major devices result in an increase in data usage and higher computational requirements. Hence, this work highlights a review on anomaly intrusion detection utilizing deep learning approaches with a focus on resource-constrained devices’ application within the domain of IoT in real-world challenges. Based on findings, the performance of deep learning in anomaly detection is proven to be superior in regard to accuracy detection and false alarm rate. However, further work on deep learning techniques should be carried out to ensure the robustness of IDS.
A Deep Learning Artificial Neural Network Algorithm for Instance-based Arabic Language Authorship Attribution
Authors: Al-Sarem Mohammad , Alsaeedi Abdullah , Saeed Faisal
Published: October 2021

One of the common examples of cybercrime are identity theft and violating of intellectual property that commonly occur in social media. Authorship attribution (AA) techniques are used to extract and use several features of the text in order to identify the original author. These features are used to differentiate the writing style of one author from others. Several machine learning methods have been used to identify the AA using different languages. Few studies were conducted for Arabic AA. This paper aims to investigate the performance of deep learning-based artificial neural network (ANN) for identifying the attribution of authors using Arabic text. The applied model helps protect users in social media from identity theft and violating of their intellectual property. The experiments of this study used a dataset that includes 4,686 Arabic texts for 15 different authors. The performance of the deep learning method was compared with several machine learning methods. The experimental results showed the superior performance of deep learning for AA in Arabic language using different evaluation criteria such as F-score, accuracy, precision, and recall measures.
Numerical Solution of the Wave Propagation Problem in a Plate
Authors: Cruz Rodriguez Manuel , Mederos Victoria Hernández , Sarlabous Jorge Estrada , Hernández Eduardo Moreno , Graverán Ahmed Mansur
Published: October 2021

In this work, we use the phase velocity method in combination with finite element method to compute the dispersion curve for phase velocity of an ultrasonic pulse traveling in a thin isotropic plate. This method is based on the numerical solution of the wave propagation equations for several selected frequencies. To solve these equations, a second order difference scheme is used to discretize the temporal variable, while spatial variables are discretized using the finite element method. The variational formulation of the problem corresponding to a fixed value of time is obtained and the existence and uniqueness of the solution is proved. A priori error estimates in the energy norm and in the [Formula: see text] norm are also obtained. The open software FreeFem++ is used with quadratic triangular elements to compute the displacements. Numerical experiments show that the velocities computed from the approximated displacements for different frequency values are in good agreement with analytical dispersion curve. This confirms that the proposed symbiosis between finite element and phase velocity method is suitable for computing dispersion curves in more general wave propagation problems, where the geometry is complex and the material is anisotropic.
A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
Authors: Bin Xu
Published: October 2021

In the process of online course resource recommendation, the output of recommendation results is often unstable. Therefore, a physical education online course resource recommendation method based on collaborative filtering technology is proposed. Firstly, the learning preference of e-learners is calculated, the frequency index of the word frequency-inverse document is defined, the correlation between courses is reflected, and the specific needs of students for PE online course resource recommendation are understood. Then, the collaborative filtering recommendation algorithm is used to generate the similarity matrix and correlation matrix, update the edge characteristics of sports online curriculum resources, collect and refine the hidden index of sports online curriculum resources, optimize the prediction rules of the neighborhood of the most similar teaching unit, and complete the recommendation of sports online curriculum resources. Experimental results show that, for 1000 keywords, the method has the highest single average matching degree, the recommendation process is stable, and the F1 value is more than 0.9, and the practical application is ensured.
Pleuropulmonary Blastoma (PPB) in Child with DICER1 Mutation: The First Case Report in the State of Qatar
Authors: Hamad Sara G. , Al-Naimi Amal , Abu-Hasan Mutasim
Published: October 2021

Pleuropulmonary blastoma (PPB) is a rare intrathoracic malignancy, which arises from the lung parenchyma and/or pleura. PPB has strong genetic association with mutations in DICER1 gene. Despite being rare, PPB is the most common lung tumor in children below 6 years of age. International registry of the disease has a total of 350 cases worldwide. We report the first case of PPB in the state of Qatar, which presented as a large cystic lung lesion. The patient was first thought to have benign congenital pulmonary airway malformation (CPAM) based on chest X-ray findings. The diagnosis of PPB was suspected based on chest CT scan findings and was confirmed after surgical resection of the cystic mass. The case highlights the need to consider PPB in the differential diagnosis of cystic lung lesions in children and the need for further radiological imaging (i.e., CT scan), genetic testing, and/or excisional biopsy to confirm the diagnosis.
Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
Authors: Yu Yongbo , Tong Heyang , Wang Denghan
Published: October 2021

To improve the accuracy of the aircraft cabin decoration style recommendation algorithm, an aircraft cabin decoration style recommendation algorithm based on machine vision is proposed. The outline diagram of aircraft cabin decoration style is described with the help of hog features, and the clustering observation is carried out through K-means clustering algorithm to complete the feature description of aircraft cabin decoration style. The background pixels of aircraft cabin decoration are determined with the help of Gaussian mixture model method, the style feature points to be measured are updated gradient, the input aircraft cabin decoration style sequence image is compared with the background image, the difference of statistical information such as gray characteristics of pixels or straight image is analyzed, and the background preprocessing of aircraft cabin decoration style is completed. This study analyzes the basic principle and operation process of machine vision system, obtains the aircraft cabin decoration style image with the help of machine vision, calculates the weight value of recommended users, determines the number of decoration style recommendations, and completes the aircraft cabin decoration style recommendation. The experimental results show that the proposed method can effectively improve the accuracy of aircraft cabin decoration style recommendations, and it is feasible.