bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel multi-featured decision system for multi-classification tasks
Authors: Xu Tong 
Published: July 2023

Abstract
Feature engineering is a difficult task, and for real signal data, it is difficult to find a certain feature that can easily distinguish all classes. Multiple features can provide more information, which means the fusion of multi-feature learning strategies has potential significant advantages. Based on this premise, this paper proposes a multi-class framework based on the multi-featured decision to distinguish all the different classes, and takes automatic dependent surveillance-broadcast (ADS-B) signal data as an example, first extracts the phase features and wavelet decomposition features of the signal data, then selects the features with high discrimination between classes, then proposes a one-dimensional residual neural network based on 16 convolutional layers to learn the unique features of different features and classes separately, and finally proposes a novel multi-featured decision method based on voting method and a priori probability. Results show that the proposed one-dimensional residual neural network has better performance metrics on the test set compared to some machine learning-based and neural network-based algorithms, with classification accuracies of 86.1%, 84.6% and 83.6% on wavelet decomposition features, raw features and phase features, respectively, on ADS-B preamble signals. The proposed feature decision framework based on the voting method and a priori probability has a recall, precision and F1 value of 80.24%, 89.89% and 84.79% on ADS-B preamble signals, respectively.
Impact of Reynolds number in modulating wall stresses in radial stagnation-point flow
Authors: Sarfraz M , Khan M 
Published: July 2023

Abstract
Wall stresses play a critical role in fluid dynamics and understanding their impact can lead to significant improvements in system performance and efficiency. This article presents a study on the impact of the Reynolds number and magnetic number on wall stresses, energy transport, and thermodynamic irreversibility analysis in axisymmetric flow near the stagnation region. We consider a hybrid nanofluid flow containing titania and silica nanoparticles, using Yamada-Ota and Xue thermal conductivity models. The flow is driven by a cylinder rotating along the z-direction with solar radiation and a magnetic field. To formulate the problem, we use similarity transformation to obtain dimensionless ordinary differential equations and obtain numerical solutions with graphical illustrations by bvp5c in Matlab. The comparison between hybrid nanofluid models indicates a higher rate of heat transformation, with the Yamada-Ota hybrid nanofluid model demonstrating better and faster heat transport properties than the Xue model. This study underlines the importance of understanding the impact of controlled parameters on wall stresses to optimize fluid dynamics system performance and efficiency. Moreover, it highlights the potential of entropy generation analysis to identify changes in thermal processes and reduce the loss of available mechanical power in thermo-fluid systems and provides a foundation for exploring and developing advanced technologies and systems with improved heat transfer performance and energy efficiency.
New analytical solutions and integrability for the (2 + 1)-dimensional variable coefficients generalized Nizhnik-Novikov-Veselov system arising in the study of fluid dynamics via auto-Backlund transformation approach
Authors: Singh Shailendra , Saha Ray S 
Published: July 2023

Abstract
Recognising the non-uniformity of boundaries and the inhomogeneities of media, nonlinear evolution equations with variable coefficients may display more realistic scenarios dealing with time-varying environments and inhomogeneous media. In this work, the (2 + 1)-dimensional variable coefficients generalized Nizhnik-Novikov-Veselov system that occurs in the domain of fluid dynamics is investigated. Painlevé analysis technique is used to demonstrate the integrability of the above mentioned system. The governing equations are revealed to be integrable in the Painlevé sense under no specific criterion on the variable-coefficients. To derive numerous analytical solutions, the auto-Bäcklund transformation (ABT) method is taken into account. Consequently, three different analytical solutions are found using the ABT technique, which include linear, exponential, rational, and complex solutions. All the solutions are displayed as 3D plots in which variable coefficients and parameters are varied to produce the desired results. These graphs depict the many aspects of the proposed coupled system in the various forms of periodic waves and complex periodic wave surfaces.
Optically controlled n −Si/p −SeO2/p −SiO2 microwave resonators designed for 5G/6G communication technology
Authors: Qasrawi A F 
Published: July 2023

Abstract
Herein n−Si/p−SiO2 interfaces comprising layers of p-SeO2 are employed as an optically controllable microwave resonators. The stacked layers of SeO2 (500 nm) and SiO2 (50 nm) were deposited onto

n
−

type Si thin crystals by the thermal evaporation technique under a vacuum pressure of 10−5 mbar. Ytterbium and Au metals were coated onto SiO2 and Si layers, respectively, to form Schottky arms. Energy band diagram analyses were performed to confirm the formation of doubled conduction and valence band offsets. These offsets create energy barriers and potential wells that contribute to the bistable behavior. Photo-impedance spectroscopic measurements were conducted on the device under blue light, demonstrating its ability to function as a light-power tunable microwave resonator and MOS capacitor. In the absence of light, negative capacitance (NC) effects were observed above a driving frequency of 1.07 GHz. As the device was exposed to light and the light power increased, the frequency range of NC effects shifted to higher driving frequencies. Furthermore, the range of NC effects became narrower with increasing light power, indicating a more limited frequency range for the manifestation of negative capacitance. In addition,

n
−

Si/

p
−

SeO2/

p
−

SiO2 microwaves resonators displayed high cutoff frequency exceeding 0.10 THz at driving frequency of 1.07 GHz in the dark. The driving frequency also shifted toward larger values as light power is increased indicating the ability to optically control the cutoff frequency range and value. The high response of the capacitance, conductance, cutoff frequency spectra and the dependence of capacitance–voltage characteristics on incident light power nominate the device as microwave resonators and MOS electro-optic devices suitable for 5G/6G communication technology.
Investigation of Cr3+ doped Zn-Co nanoferrites as potential candidate for self-regulated magnetic hyperthermia applications
Authors: Valente-Rodrigues C L , Caraballo-Vivas Richard J , Santos Evelyn C S , Sharma Surender K , Garcia Flávio 
Published: July 2023

Abstract
Controlling the Curie temperature (TC) in the range from 42 °C–46 °C in magnetic hyperthermia (MH) therapy is an essential research topic because overheating can cause irreversible damage to healthy tissue. When TC is in the above temperature range, the magnetic nanoparticles reach a paramagnetic state, effectively turning off the MH treatment. In this work, we synthesized Zn-Co nanoparticles of representative composition Zn0.54Co0.46CrxFe2-xO4, where the Fe3+ cations are carefully replaced by Cr3+ ions, which allow a precise tuning of TC and hence the self-regulation of MH. The x-ray diffraction analysis of the prepared nanoparticles confirms the formation of a single-phase cubic spinel structure. The average crystallite of the nanoparticles increases with Cr3+ doping, while the Tc and saturation magnetization decrease considerably from 78 °C (x = 0.1) to 27 °C (x = 0.6) and 46.6 emu g−1 (x = 0.1) to 15.3 emu g−1 (x = 0.6), respectively. Besides MH potential of the investigated samples as revealed from specific absorption rate (SAR) assays and the maximum temperature reach (Tmax), vary from 7 W g−1 and 37.3 °C, for x = 0.6, to 38 W g−1 and 62.9 °C, for x = 0.1, we found that the composition Zn0.54Co0.46Cr0.4Fe1.6O4 is more promising with SAR of 22 W g−1 and Tmax = 42.3 °C, which is precisely lies in the safe temperature range to automatically activate the self-regulation during the magnetic hyperthermia treatment. The results reveal an excellent combination between size distribution and Cr3+ content in Zn-Co-based ferrite, which has a great potential for self-regulated magnetic hyperthermia applications.
Generalized quantum geometric tensor for excited states using the path integral approach
Authors: Juárez Sergio B , Gonzalez Diego , Gutiérrez-Ruiz Daniel , Vergara J David 
Published: July 2023

Abstract
The quantum geometric tensor, composed of the quantum metric tensor and Berry curvature, fully encodes the parameter space geometry of a physical system. We first provide a formulation of the quantum geometrical tensor in the path integral formalism that can handle both the ground and excited states, making it useful to characterize excited state quantum phase transitions (ESQPT). In this setting, we also generalize the quantum geometric tensor to incorporate variations of the system parameters and the phase-space coordinates. This gives rise to an alternative approach to the quantum covariance matrix, from which we can get information about the quantum entanglement of Gaussian states through tools such as purity and von Neumann entropy. Second, we demonstrate the equivalence between the formulation of the quantum geometric tensor in the path integral formalism and other existing methods. Furthermore, we explore the geometric properties of the generalized quantum metric tensor in depth by calculating the Ricci tensor and scalar curvature for several quantum systems, providing insight into this geometric information.
Effect of biharmonic excitation on complex dynamics of a two-degree-of-freedom heavy symmetric gyroscope
Authors: Aguessivognon J M , Miwadinou C H , Monwanou A V 
Published: July 2023

Abstract
This work analyzes the chaotic dynamics and the coexistence of attractors and their control in the complex dynamics of a rotating gyroscope modeled following Euler angles using the Lagrange approach. The fixed points of the system is checked and their stability analyzed. The complete dynamics of the gyroscope is studied and the coexistence of attractors analyzed using Runge-Kutta algorithm of order 4. It is obtained for appropriate conditions the coexistence of chaotic and/or regular attractors. The study also pointed out that the dissipation and the first integrals of the moments of inertia of the gyroscope influence the chaotic dynamics as well as the coexistence of the attractors. Finally, the control of the coexistence of attractocs obtained is done using a biharmonic excitation. The analysis of the effects of the amplitudes and frequencies of this excitation makes it possible to find the best areas where the control is effective.
Fermi level depinning via insertion of a graphene buffer layer at the gold–2D tin monoxide contact
Authors: Tian Yujia , Kripalani Devesh R , Xue Ming , Zhou Kun 
Published: July 2023

Abstract
Two-dimensional (2D) tin monoxide (SnO) has attracted much attention owing to its distinctive electronic and optical properties, which render itself suitable as a channel material in field effect transistors (FETs). However, upon contact with metals for such applications, the Fermi level pinning effect may occur, where states are induced in its band gap by the metal, hindering its intrinsic semiconducting properties. We propose the insertion of graphene at the contact interface to alleviate the metal-induced gap states. By using gold (Au) as the electrode material and monolayer SnO (mSnO) as the channel material, the geometry, bonding strength, charge transfer and tunnel barriers of charges, and electronic properties including the work function, band structure, density of states, and Schottky barriers are thoroughly investigated using first-principles calculations for the structures with and without graphene to reveal the contact behaviours and Fermi level depinning mechanism. It has been demonstrated that strong covalent bonding is formed between gold and mSnO, while the graphene interlayer forms weak van der Waals interaction with both materials, which minimises the perturbance to the band structure of mSnO. The effects of out-of-plane compression are also analysed to assess the performance of the contact under mechanical deformation, and a feasible fabrication route for the heterostructure with graphene is proposed. This work systematically explores the properties of the Au–mSnO contact for applications in FETs and provides thorough guidance for future exploitation of 2D materials in various electronic applications and for selection of buffer layers to improve metal–semiconductor contact.
AtacAnnoR: a reference-based annotation tool for single cell ATAC-seq data
Authors: Tian Lejin , Xie Yunxiao , Xie Zhaobin , Tian Jasmine , Tian Weidong 
Published: July 2023

Abstract
Here, we present AtacAnnoR, a two-round annotation method for scATAC-seq data using well-annotated scRNA-seq data as reference. We evaluate AtacAnnoR’s performance against six competing methods on 11 benchmark datasets. Our results show that AtacAnnoR achieves the highest mean accuracy and the highest mean balanced accuracy and performs particularly well when unpaired scRNA-seq data are used as the reference. Furthermore, AtacAnnoR implements a ‘Combine and Discard’ strategy to further improve annotation accuracy when annotations of multiple references are available. AtacAnnoR has been implemented in an R package and can be directly integrated into currently popular scATAC-seq analysis pipelines.
Instrumental variable quantile regression under random right censoring
Authors: Beyhum Jad , Tedesco Lorenzo , Van Keilegom Ingrid 
Published: July 2023

Summary
This paper studies a semiparametric quantile regression model with endogenous variables and random right censoring. The endogeneity issue is solved using instrumental variables. It is assumed that the structural quantile of the logarithm of the outcome variable is linear in the covariates and censoring is independent. The regressors and instruments can be either continuous or discrete. The specification generates a continuum of equations of which the quantile regression coefficients are a solution. Identification is obtained when this system of equations has a unique solution. Our estimation procedure solves an empirical analogue of the system of equations. We derive conditions under which the estimator is asymptotically normal and prove the validity of a bootstrap procedure for inference. The finite sample performance of the approach is evaluated through numerical simulations. An application to the national Job Training Partnership Act study illustrates the method.
Associations between the neighbourhood food environment and cardiovascular disease: a systematic review
Authors: Meijer Paul , Numans Hidser , Lakerveld Jeroen 
Published: July 2023

AbstractAimsTo systematically review the current evidence on the association between the neighbourhood food environment and cardiovascular disease (CVD) in adults.Methods and resultsWe searched the literature databases CINAHL, MEDLINE, and EMBASE for studies published between 1 January 2000 and 1 May 2022. Studies focusing on the indoor home, workplace, or school food environment were excluded. Two independent reviewers screened all records. Included studies were assessed for risk of bias using the shortened QUIPS tool, and relevant data were extracted. We summarized the findings using a narrative synthesis approach. We included 15 studies after screening 5915 original records. Most studies were published in the last 4 years and were predominantly conducted in North American or European countries. These studies focused on fast-food restaurant density in the residential neighbourhood. A higher fast-food restaurant density was most consistently associated with a higher prevalence and incidence of CVD and CVD mortality, but effect sizes were small. Evidence of an association between fast-food restaurant density and myocardial infarction, or stroke was inconsistent. The other aspects of the food environment were density of food service restaurants, unhealthy food outlets, and food access score. However, there was scant evidence for these aspects.ConclusionWe found evidence for associations between the neighbourhood food environment and CVD, suggesting that a higher fast-food restaurant density is associated with CVD and CVD mortality. Effect sizes were small but important, given the fact that a large population is exposed. Research is needed to assess the effects of other aspects of the food environment.Systematic review registrationPROSPERO CRD42022317407.
Beyond MPOWER: a systematic review of population-level factors that affect European tobacco smoking rates
Authors: Watson Leah K , Weldon Isaac , Lin Gigi O , Nanyangwe-Moyo Tina , Hoffman Steven J , Poirier Mathieu J P 
Published: July 2023

Abstract

Background
Population-level factors within and beyond the scope of the World Health Organization’s (WHO) MPOWER policy package have significant impacts on smoking rates. However, no synthesis of the existing evidence exists. This systematic review identifies population-level factors that influence cigarette smoking rates in European countries.

Methods
We searched the ProQuest database collection for original, peer-reviewed quantitative evaluations that investigated the effects of population-level exposures on smoking rates in European countries. Of the 3122 studies screened, 62 were ultimately included in the review. A standardized data extraction form was used to identify key characteristics of each study including publication year, years evaluated, countries studied, population characteristics, study design, data sources, analytic methods, exposure studied, relevant covariates and effects on tobacco smoking outcomes.

Results
One hundred and fifty-five population-level exposures were extracted from the 62 studies included in the review, 99 of which were related to WHO MPOWER measures. An additional 56 exposures fell into eight policy realms: economic crises, education policy, macro-economic factors, non-MPOWER tobacco regulations, population welfare, public policy, sales to minors and unemployment rates. About one-half of the MPOWER exposures affected smoking rates (55/99) and did so in an overwhelmingly positive way (55/55). Over three-quarters of the non-MPOWER exposures were associated with statistically significant changes in smoking outcomes (43/56), with about two-thirds of these exposures leading to a decrease in smoking (29/43).

Conclusions
Population-level factors that fall outside of the WHO’s MPOWER measures are an understudied research area. The impacts of these factors on tobacco control should be considered by policymakers.
RNA viruses, M satellites, chromosomal killer genes, and killer/nonkiller phenotypes in the 100-genomes S. cerevisiae strains
Authors: Vijayraghavan Sriram , Kozmin Stanislav G , Strope Pooja K , Skelly Daniel A , Magwene Paul M , Dietrich Fred S , McCusker John H 
Published: July 2023

Abstract
We characterized previously identified RNA viruses (L-A, L-BC, 20S, and 23S), L-A–dependent M satellites (M1, M2, M28, and Mlus), and M satellite–dependent killer phenotypes in the Saccharomyces cerevisiae 100-genomes genetic resource population. L-BC was present in all strains, albeit in 2 distinct levels, L-BChi and L-BClo; the L-BC level is associated with the L-BC genotype. L-BChi, L-A, 20S, 23S, M1, M2, and Mlus (M28 was absent) were in fewer strains than the similarly inherited 2µ plasmid. Novel L-A–dependent phenotypes were identified. Ten M+ strains exhibited M satellite–dependent killing (K+) of at least 1 of the naturally M0 and cured M0 derivatives of the 100-genomes strains; in these M0 strains, sensitivities to K1+, K2+, and K28+ strains varied. Finally, to complement our M satellite–encoded killer toxin analysis, we assembled the chromosomal KHS1 and KHR1 killer genes and used naturally M0 and cured M0 derivatives of the 100-genomes strains to assess and characterize the chromosomal killer phenotypes.
A photoaffinity glycan-labeling approach to investigate immunoglobulin glycan-binding partners
Authors: Holborough-Kerkvliet Miles D , Mucignato Greta , Moons Sam J , Psomiadou Venetia , Konada Rohit S R , Pedowitz Nichole J , Pratt Matthew R , Kissel Theresa , Koeleman Carolien A M , Tjokrodirijo Rayman T N , van Veelen Petrus A , Huizinga Thomas , van Schie Karin A J , Wuhrer Manfred , Kohler Jennifer J , Bonger Kimberly M , Boltje Thomas J , Toes Reinaldus E M 
Published: July 2023

Abstract
Glycans play a pivotal role in biology. However, because of the low-affinity of glycan-protein interactions, many interaction pairs remain unknown. Two important glycoproteins involved in B-cell biology are the B-cell receptor and its secreted counterpart, antibodies. It has been indicated that glycans expressed by these B-cell-specific molecules can modulate immune activation via glycan-binding proteins. In several autoimmune diseases, an increased prevalence of variable domain glycosylation of IgG autoantibodies has been observed. Especially, the hallmarking autoantibodies in rheumatoid arthritis, anti-citrullinated protein antibodies, carry a substantial amount of variable domain glycans. The variable domain glycans expressed by these autoantibodies are N-linked, complex-type, and α2–6 sialylated, and B-cell receptors carrying variable domain glycans have been hypothesized to promote selection of autoreactive B cells via interactions with glycan-binding proteins. Here, we use the anti-citrullinated protein antibody response as a prototype to study potential in solution and in situ B-cell receptor–variable domain glycan interactors. We employed SiaDAz, a UV-activatable sialic acid analog carrying a diazirine moiety that can form covalent bonds with proximal glycan-binding proteins. We show, using oligosaccharide engineering, that SiaDAz can be readily incorporated into variable domain glycans of both antibodies and B-cell receptors. Our data show that antibody variable domain glycans are able to interact with inhibitory receptor, CD22. Interestingly, although we did not detect this interaction on the cell surface, we captured CD79 β glycan–B-cell receptor interactions. These results show the utility of combining photoaffinity labeling and oligosaccharide engineering for identifying antibody and B-cell receptor interactions and indicate that variable domain glycans appear not to be lectin cis ligands in our tested conditions.
Insights into the molecular mechanisms underlying responses of apple trees to abiotic stresses
Authors: Li Xuewei , Ma Ziqing , Song Yi , Shen Wenyun , Yue Qianyu , Khan Abid , Tahir Muhammad Mobeen , Wang Xiaofei , Malnoy Mickael , Ma Fengwang , Bus Vincent , Zhou Shuangxi , Guan Qingmei 
Published: July 2023

Abstract
Apple (Malus$ \times $domestica) is a popular temperate fruit crop worldwide. However, its growth, productivity, and quality are often adversely affected by abiotic stresses such as drought, extreme temperature, and high salinity. Due to the long juvenile phase and highly heterozygous genome, the conventional breeding approaches for stress-tolerant cultivars are time-consuming and resource-intensive. These issues may be resolved by feasible molecular breeding techniques for apples, such as gene editing and marker-assisted selection. Therefore, it is necessary to acquire a more comprehensive comprehension of the molecular mechanisms underpinning apples’ response to abiotic stress. In this review, we summarize the latest research progress in the molecular response of apples to abiotic stressors, including the gene expression regulation, protein modifications, and epigenetic modifications. We also provide updates on new approaches for improving apple abiotic stress tolerance, while discussing current challenges and future perspectives for apple molecular breeding.