bluuebunny/crossref_metadata_2025_split huggingface dataset:
On singularities of real algebraic sets and applications to kinematics
Authors: Diesse Marc 
Published: January 2021

Abstract
We address the question of identifying non-smooth points in

V

ℝ

(
I
)

{{\bf{V}}}_{{\mathbb{R}}}(I)

the real part of an affine algebraic variety. Two simple algebraic criteria will be formulated and proven. As an application, we investigate the configuration spaces of the planar four-bar linkage and the delta robot and prove that all singularities are CS-singularities.
A multi-power and multi-splitting inner-outer iteration for PageRank computation
Authors: Pu Bing-Yuan , Wen Chun , Hu Qian-Ying 
Published: January 2021

Abstract
As an effective and possible method for computing PageRank problem, the inner-outer (IO) iteration has attracted wide interest in the past few years since it was first proposed by Gleich et al. (2010). In this paper, we present a variant of the IO iteration, which is based on multi-step power and multi-step splitting and is denoted by MPMIO. The description and convergence are discussed in detail. Numerical examples are given to illustrate the effectiveness of the proposed method.
A new refinement of Jensen’s inequality with applications in information theory
Authors: Xiao Lei , Lu Guoxiang 
Published: January 2021

Abstract
In this paper, we present a new refinement of Jensen’s inequality with applications in information theory. The refinement of Jensen’s inequality is obtained based on the general functional in the work of Popescu et al. As the applications in information theory, we provide new tighter bounds for Shannon’s entropy and some f-divergences.
Estimation of seasonal boundaries using temperature data: a case of northwest part of Bangladesh
Authors: Rahman Syed Mustafizur , Rahman Syed Mahbubur , Ali Md. Shuzon , Mamun Md. Abdullah Al , Uddin Md. Nezam 
Published: January 2021

AbstractSeasons are the divisions of the year into months or days according to the changes in weather, ecology and the intensity of sunlight in a given region. The temperature cycle plays a major role in defining the meteorological seasons of the year. This study aims at investigating seasonal boundaries applying harmonic analysis in daily temperature for the duration of 30 years, recorded at six stations from 1988 to 2017, in northwest part of Bangladesh. Year by year harmonic analyses of daily temperature data in each station have been carried out to observe temporal and spatial variations in seasonal lengths. Periodic nature of daily temperature has been investigated employing spectral analysis, and it has been found that the estimated periodicities have higher power densities of the frequencies at 0.0027 and 0.0053 cycles/day. Some other minor periodic natures have also been observed in the analyses. Using the frequencies between 0.0027 to 0.0278 cycles/day, the observed periodicities in spectral analysis, harmonic analyses of minimum and maximum temperatures have found four seasonal boundaries every year in each of the stations. The estimated seasonal boundaries for the region fall between 19-25 February, 19-23 May, 18-20 August and 17-22 November. Since seasonal variability results in imbalance in water, moisture and heat, it has the potential to significantly affect agricultural production. Hence, the seasons and seasonal lengths presented in this research may help the concerned authorities take measures to reduce the risks for crop productivity to face the challenges arise from changing climate. Moreover, the results obtained are likely to contribute in introducing local climate calendar.
On multiplicative degree based topological indices for planar octahedron networks
Authors: Dustigeer Ghulam , Ali Haidar , Imran Khan Muhammad , Chu Yu-Ming 
Published: January 2021

Abstract
Chemical graph theory is a branch of graph theory in which a chemical compound is presented with a simple graph called a molecular graph. There are atomic bonds in the chemistry of the chemical atomic graph and edges. The graph is connected when there is at least one connection between its vertices. The number that describes the topology of the graph is called the topological index. Cheminformatics is a new subject which is a combination of chemistry, mathematics and information science. It studies quantitative structure-activity (QSAR) and structure-property (QSPR) relationships that are used to predict the biological activities and properties of chemical compounds. We evaluated the second multiplicative Zagreb index, first and second universal Zagreb indices, first and second hyper Zagreb indices, sum and product connectivity indices for the planar octahedron network, triangular prism network, hex planar octahedron network, and give these indices closed analytical formulas.
Computing entire Zagreb indices of some dendrimer structures
Authors: Gao Wei , Iqbal Zahid , Jaleel Abdul , Aslam Adnan , Ishaq Muhammad , Aamir Muhammad 
Published: January 2021

Abstract
Topological indices are numerical numbers associated to molecular graphs and are invariant of a graph. In QSAR/QSPR study, Zagreb indices are used to explain the different properties of chemical compounds at the molecular level mathematically. They have been studied extensively due to their ease of calculation and numerous applications in place of the existing chemical methods which needed more time and increased the costs. In this paper, we compute precise values of new versions of Zagreb indices for two classes of dendrimers.
(µ, η)-pseudo almost automorphic solutions of a new class of competitive Lotka-Volterra model with mixed delays
Authors: Amdouni Manel , Chérif Farouk 
Published: January 2021

Abstract
In the natural world, competition is an important phenomenon that can manifest in various generalized environments (economy, physics, ecology, biology,...). One of the famous models which is able to represent this concept is the Lotka-Volterra model. A new class of a competitive Lotka-Volterra model with mixed delays and oscillatory coefficients is investigated in this work. Thus, by using the (µ, η)-pseudo almost automorphic functions function class and the Leray-Schauder fixed-point theorem, it can be proven that solutions exist. In addition, in such situations, we have a number of species that coexist and all the rest will be extinct. Therefore, the study of permanence becomes unavoidable. Therefore, sufficient and new conditions are given in order to establish the permanence of species without using a comparison theorem. By the new Lyapunov function we prove the asymptotic stability for the considered model. Moreover, we investigate the globally exponential stability of the (µ, η)-pseudo almost automorphic solutions. In the end, an example is given to support theoretical result feasibility.
Existence results for some integro-differential equations with state-dependent nonlocal conditions in Fréchet Spaces
Authors: Diop Mamadou Abdoul , Bete Kora Hafiz , Kakpo Reine , Ogouyandjou Carlos 
Published: January 2021

Abstract
In this work, we present existence of mild solutions for partial integro-differential equations with state-dependent nonlocal local conditions. We assume that the linear part has a resolvent operator in the sense given by Grimmer. The existence of mild solutions is proved by means of Kuratowski’s measure of non-compactness and a generalized Darbo fixed point theorem in Fréchet space. Finally, an example is given for demonstration.
Comparative study of two techniques on some nonlinear problems based ussing conformable derivative
Authors: Zulfiqar Aniqa , Ahmad Jamshad 
Published: January 2021

AbstractIn this paper, three eminent types of time-fractional nonlinear partial differential equations are considered, which are the fractional foam drainage equation, fractional Gardner equation, and fractional Fornberg–Whitham equation in the sense of conformable fractional derivative. The approximate solutions of these considered problems are constructed and discussed using the conformable fractional variational iteration method and conformable fractional reduced differential transform method. The conformable derivative is one of the admirable choices to handle nonlinear physical problems of different fields of interest. Comparisons of approximate solution obtained by two techniques, to each other and with the exact solutions are also presented and affirm that the considered methods are efficient and reliable techniques to study other nonlinear fractional equations and models in the sense of conformable derivative. To explain the effects of several parameters and variables on the movement, the approximate results are shown in tables and two-and three-dimensional surface graphs.
Microfluidic-assisted synthesis and modelling of monodispersed magnetic nanocomposites for biomedical applications
Authors: Sartipzadeh Omid , Naghib Seyed Morteza , Shokati Farhad , Rahmanian Mehdi , Majidzadeh-A Keivan , Zare Yasser , Rhee Kyong Yop 
Published: January 2021

AbstractDroplet microfluidic was devoted to design and fabricate robust devices in the field of biosensing, tissue engineering, drug delivery, cell encapsulation, cell isolation, and lab-on-a-chip. Chitosan was widely used for different biomedical applications because of its unique characteristics such as antibacterial bioactivities, immune-enhancing influences, and anticancer bioactivities. In this research, a model is used for investigating the formation and size of composite droplets in a microfluidic device. The role of the velocity flow ratio in the composite droplet characteristics such as the generation rate and composite droplet size is described. According to the results, a desirable protocol is developed to control the properties of the composite droplets and to compare the size and rate of the composite droplets in a micro device. Furthermore, the level set laminar two-phase flow approach is exploited for studying the composite droplet-breaking procedure. An experimental procedure is used for validation of the simulation process. Various sizes and geometries of the composite droplets are fabricated to depict a potential in biomedical applications such as bioimaging, biosensing, tissue engineering, drug delivery, cell encapsulation, cancer cell isolation, and lab-on-a-chip.
From materials to devices using fused deposition modeling: A state-of-art review
Authors: Zhang Pengfei , Wang Zongxing , Li Junru , Li Xinlin , Cheng Lianjun 
Published: January 2021

Abstract
Fused deposition modeling (FDM) uses computer-aided design to direct a 3D printer to build successful layers of product from polymeric materials to generate 3D devices. Many reviews have been reported recently on the cutting-edge FDM technology from different perspectives. However, few studies have delved into the advances in FDM technology from materials to 3D devices. Therefore, in this work, with a bottom-up approach from materials (including commodities and nanomaterials) to printing process (including effort for fast printing, effort for resolution improvement, and simulations) and from printing process to 3D devices (including biomedical implants, topological structures, and multifunctional devices), it aims at reviewing the FDM technology developed over the past decades.
Preparation and piezoresistivity of carbon nanotube-coated sand reinforced cement mortar
Authors: Gao Song , Luo Jianlin , Zhang Jigang , Teng Fei , Liu Chao , Feng Chao , Yuan Qian 
Published: January 2021

Abstract
Water and sand were used as the medium of multiwall carbon nanotube (MCNT) and prepared MCNT aqueous suspension and MCNT suspension-coated sand, respectively; afterwards, they were introduced into cement mortar (MNT/CM, MNTSM), respectively. Next, mechanical strengths and piezoresistive properties (DC resistivities (ρ
v), AC impedances (Z
r)) under cyclic loadings (σ
c) of two types of MNT/CM and MNTSM nanocomposites were investigated to explore the intrinsic and self-sensing behaviors. Results reveal that MCNT can be evenly and well-coated on sand, which favors to achieve its intrinsic self-sensing property. Although the fraction changes in ρ
v and Z
r under the same σ
c of MNTSM are both lower than those of MNT/CM, the stress sensitivity of MNTSM is only −1.16%/MPa (DC resistivity), −1.55%/MPa (AC impedance); its sensing linearity and stability (2.53, 2.45%; 2.73, 2.67%) are superior to those of MNT/CM (4.94, 2.57%; 3.78, 2.96%). Piezoresistivity using AC impedance technique is helpful to acquire balanced sensing sensitivity and stability while applied as intrinsic sensors in infrastructure.
Vibrational analysis of an irregular single-walled carbon nanotube incorporating initial stress effects
Authors: Selim Mahmoud M. , El-Safty Sherif A. 
Published: January 2021

AbstractIn this work, an attempt is done to apply the eigenvalue approach as well as Donnell thin-shell theory to find out the vibrational analyses of an irregular single-walled carbon (ISWCNT) incorporating initial stress effects. The effects of surface irregularity and initial stresses on natural frequency of vibration of nano materials, especially for single-walled carbon nanotubes (SWCNTs), have not been investigated before, and most of the previous research have been carried for a regular and initial stress-free CNTs. Therefore, it must be emphasized that the vibrations of prestressed irregular SWCNT are novel and applicable for the design of nano oscillators and nanodevices, in which SWCNTs act as the most prevalent nanocomposite structural element. The surface irregularity is assumed in the parabolic form at the surface of SWCNT. A novel equation of motion and frequency equation is derived. The obtained numerical results provide a better representation of the vibration behavior of prestressed ISWCNTs. It has been observed that the presence of either surface irregularity or initial stress has notable effects on the natural frequency of vibration, particularly in the short-length SWCNTs. Numerical results show that the natural frequency of SWCNT decreases with increase in surface irregularity and initial stress parameters. To the authors’ best knowledge, the effect of surface irregularity and initial stresses on the vibration behavior of SWCNTs has not yet been studied, and the present work is an attempt to find out this effectiveness. In addition, the results of the present analysis may serve as useful references for the application and the design of nano oscillators and nanodevices, in which SWCNTs act as the most prevalent nanocomposite structural element.
Therapeutic strategies and potential implications of silver nanoparticles in the management of skin cancer
Authors: Dasari Shaloam , Yedjou Clement G. , Brodell Robert T. , Cruse Allison R. , Tchounwou Paul B. 
Published: January 2021

Abstract
Skin cancer (SC) is the most common carcinoma affecting 3 million people annually in the United States and millions of people worldwide. It is classified as melanoma SC (MSC) and non-melanoma SC (NMSC). NMSC represents approximately 80% of SC and includes squamous cell carcinoma and basal cell carcinoma. MSC, however, has a higher mortality rate than SC because of its ability to metastasize. SC is a major health problem in the United States with significant morbidity and mortality in the Caucasian population. Treatment options for SC include cryotherapy, excisional surgery, Mohs surgery, curettage and electrodessication, radiation therapy, photodynamic therapy, immunotherapy, and chemotherapy. Treatment is chosen based on the type of SC and the potential for side effects. Novel targeted therapies are being used with increased frequency for large tumors and for metastatic disease. A scoping literature search on PubMed, Google Scholar, and Cancer Registry websites revealed that traditional chemotherapeutic drugs have little effect against SC after the cancer has metastasized. Following an overview of SC biology, epidemiology, and treatment options, this review focuses on the mechanisms of advanced technologies that use silver nanoparticles in SC treatment regimens.
A review for modified Li composite anode: Principle, preparation and challenge
Authors: Yang Xinxia , Peng Yi , Hou Jia , Liu Yifan , Jian Xian 
Published: January 2021

Abstract
As the most common energy storage technology on the market, lithium-ion batteries are widely used in various industries and have a profound impact on our daily lives, with the characteristics of high voltage, high capacity, good safety performance, and long cycle life. Lithium metal was first used in the anode of lithium-ion batteries. However, the inherent growth of lithium dendrites and the instability of the SEI film limit the practical application of lithium metal materials. Despite this, lithium metal is still an ideal anode material to meet the growing demands for electronic equipment and electric vehicles due to its extremely high theoretical specific capacity, low density, and the lowest negative electrochemical potential. With the urgent need to develop new energy storage technologies, the research on lithium metal anodes has once again received extensive attention. In this review, the research progress in the modification of composite lithium metal electrode materials is summarized, including lithium/alloy composite electrode, lithium/carbon-based materials composite electrode and artificial SEI film. The possible directions for future development of lithium metal electrode are also prospected.
Shifting of microbial biodiversity and soil health in rhizomicrobiome of natural forest and agricultural soil
Authors: Anggrainy Eka Dewi , Syarifain Roby Ibnu , Hidayat Arif , Solihatin Etin , Suherman Cucu , Fitriatin Betty N. , Simarmata Tualar 
Published: January 2021

Abstract
Intensive agricultural practices and heavy use of inorganic fertilizers have significantly accelerated soil degradation. Mineralization of the organic matter of soil affects soil health and the abundance of soil beneficial microbes (SBMs) and its dynamics in the soil. The research to investigate the shifting of microbial population and the soil health was conducted in natural forest, agricultural, and degraded ecosystems. The research setting involved randomized block design consisting of six ecosystems, namely, natural forest, agricultural soil (oil palm: 10, 9, 8, and 7 years old), and degraded soils. The soil samples were taken with four replications from rhizomicrobiome of each land use. In the soil health analysis, it was understood that soil beneficial microbes (SBMs) consist of total bacteria, phosphate-solubilizing bacteria, nitrogen-fixing bacteria, total actinomycetes, and total fungi). The results showed that natural forest, oil palm plantation, and degraded land demonstrated a significant effect on the changes in biodiversity of SBM in rhizomicrobiome. The highest population of SBMs was in natural forest followed by the 10-year-old oil palm plantations and the lowest was recorded in degraded soils. These results confirm that the shift of forest ecosystems to agricultural soils will accelerate the degradation and decline of soil health.
Influence of priming on germination, development, and yield of soybean varieties
Authors: Lewandowska Sylwia , Łoziński Michał , Marczewski Krzysztof , Kozak Marcin , Schmidtke Knut 
Published: January 2021

AbstractA two-factorial field experiment with soybean (Glycine max(L.) Merill) was conducted in a randomized block design, with four replications. The tested factors were seed priming method and genotype responses. There had been seven soybean varieties (Aldana, Aligator, Annushka, Augusta, Lissabon, Mavka, and Merlin) and each of them had control (unprimed) and seed primed groups. The aim of this study was to determine the effect of hydropriming on germination ability and emergence under field conditions, on the growth and development of selected soybean varieties. Shortly before harvest, 10 randomly selected plants were collected from each plot, and their morphological and yield-related traits were measured. In addition, the seed yield was assessed. On the basis of statistical analysis, significant differences were found between the applied hydropriming method and the control group in regard to morphological traits. Seed treatment resulted in a slight increase in harvested seed yield, which is within error margin. The seed yield of Aligator increased significantly by 0.5 t ha−1, indicating a genotype-specific different reaction to seed priming in terms of yield.
The Role of Archival Aerial Photography in Shaping Our Understanding of the Funerary Landscape of Hellenistic and Roman Cyprus
Authors: Lysandrou Vasiliki , Agapiou Athos 
Published: January 2021

AbstractThis study deals with the investigation of the Eastern necropolis of Nea Paphos in western Cyprus, employing archival and recent aerial photographs for the identification of surface/near-surface ancient architectural remains. The analysis of the primary archival aerial photograph employed for this study reveals the archaeological visibility of the site as it had been captured approximately 15 years before its rescue excavation in the 1980s. The outcomes from the enhancement and interpretation of the archival aerial photograph supplement known archaeological information of the area and elucidate the understanding of the spatial distribution of the tombs as well as the geographic extent of the necropolis.
Social context affects mental health stigma
Authors: Boxell Oliver 
Published: January 2021

Abstract
Prior research shows mental health stigma is context-dependent and blocks help-seeking behaviors. Any applied solutions will require basic research to understand these contextual nuances. The present paper presents two timed Likert-type rating studies in which participants scored photographs of individuals with mental health diagnoses and other control condition labels in different social contexts. In the first study (N = 99), participants rated the individuals in a professional context and in a non-professional context. The second study (N = 99) systematically manipulated the attractiveness of the individuals depicted. Professional context moderated mental health stigma, indicating that, relative to control label conditions, participants were less accepting of an individual with a mental health diagnosis label as a medical clinician than as a next-door neighbor. Attractiveness had a uniform effect across all the label conditions, which produced a compounding additive effect in which a mental health diagnosis and low attractiveness negatively impacted the ratings simultaneously. The study used timed implicit judgments to demonstrate empirically how previously unstudied social contexts can affect mental health stigma. Understanding how such contextual effects affect stigma is a prerequisite for the development of interventions to overcome the barriers stigma creates for access to treatment and prevention.