bluuebunny/crossref_metadata_2025 huggingface dataset:
The first reptilian allergen and major allergen for fish‐allergic patients: Crocodile β‐parvalbumin
Authors: Ruethers Thimo , Nugraha Roni , Taki Aya C. , O'Malley Andrea , Karnaneedi Shaymaviswanathan , Zhang Stephanie , Kapingidza A. Brenda , Mehr Sam , Kamath Sandip D. , Chruszcz Maksymilian , Mackay Graham , Campbell Dianne E. , Lopata Andreas L.
Published: May 2022

Background

Clinical cross‐reactivity between bony fish, cartilaginous fish, frog, and chicken muscle has previously been demonstrated in fish‐allergic patients. In indicative studies, two reports of anaphylaxis following the consumption of crocodile meat and IgE‐cross‐binding were linked to the major fish allergen parvalbumin (PV). This study investigates IgE‐binding proteins in crocodile meat with a focus on PV and their clinical relevance.

Methods

Proteins were extracted from muscle tissue of crocodile, three bony fish, and two cartilaginous fish. A cohort of fish‐allergic pediatric patients (n = 77) underwent allergen skin prick testing (SPT) to three fish preparations (n = 77) and crocodile (n = 12). IgE‐binding proteins were identified and quantified by SDS‐PAGE, mass spectrometric analyses, and immunoblotting using commercial and in‐house antibodies, as well as individual and pooled patients’ serum. PV isoforms were purified or recombinantly expressed before immunological analyses, including human mast cell degranulation assay.

Results

Of the tissues analyzed, PV was most abundant in heated crocodile preparation, triggering an SPT of ≥3 mm in 8 of 12 (67%) fish‐allergic patients. Seventy percent (31 of 44) of fish PV‐sensitized patients demonstrated IgE‐binding to crocodile PV. Crocodile β‐PV was the major IgE‐binding protein but 20‐fold less abundant than α‐PV. Cellular reactivity was demonstrated for β‐PV and epitopes predicted, explaining frequent IgE‐cross‐binding of β‐PVs. Both PV isoforms are now registered as the first reptile allergens with the WHO/IUIS (β‐PV as Cro p 1 and α‐PV as Cro p 2).

Conclusion

Fish‐allergic individuals may be at risk of an allergy to crocodile and should seek specialist advice before consuming crocodilian meat.
Difficulties in providing genetic consultations by public health nurses in Japan
Authors: Obayashi Chisato , Asahara Kiyomi , Umeda Maki
Published: May 2022

Objective

The objectives of this study were to identify the topics that Japanese public health nurses (PHNs) find difficult during genetic consultations and to identify the relationships between these difficulties and PHNs’ genetic education.

Methods

We conducted a mail survey delivered to PHNs employed by local Japanese governmental agencies in the Tokyo metropolitan area, between July and October 2015. The self‐administered questionnaire queried the (1) experience with genetic consultation, (2) perceived difficulties in genetic consultation, (3) genetics education background, and (4) demographics. The association between the perceived difficulties in genetic consultations and the genetics education opportunities was examined using logistic regression.

Results

Of the 907 mailed surveys, 536 PHNs responded (59.1% response rate). Most of the respondents (89.7%) had previously conducted genetic consultations. The majority of respondents (72.7%) had partaken in consultations regarding a possible hereditary disorder in the client or their families, and of those, 76.6% perceived difficulties during the genetic consultation. Respondents who had previously studied decision‐making support for genetic testing were significantly less likely to perceive difficulties in genetic consultations on prenatal diagnosis (OR = 0.04, 95% CI [0.00–0.73]).

Conclusions

Our results suggest that PHNs receive training in genetic consultation, which can be integrated into everyday practice.
Dual role of specific promoter tandem repeats integrating epigenetic silencing with heat response
Authors: Matsusaka Daniel , Botto Javier F. , Sanchez Diego H.
Published: May 2022

Satellites are ubiquitous noncoding tandemly repeated sequences, yet knowledge about their biological relevance is still scarce. In plants, the few described cases point to roles in heterochromatin biology and gene regulation; however, a direct link to plant stress responses is yet to be uncovered. We present evidence that particular non‐centromere tandem repeats may display a central regulatory role in the intersection between epigenetic silencing and gene expression in dynamic environments. Within the projected promoter of Arabidopsis thaliana's imprinted SDC locus, a transcriptional gene silencing targeted tandem‐repeated area largely mediates epigenetic suppression and imprinting. Here, we show that this area, possibly acting as a cis‐element/enhancer, appears necessary and sufficient for SDC's heat transcriptional activity in vegetative tissues. Our results indicate that these particular noncoding tandem repeats may be genic and exhibit dual roles, not only as silencers at normal temperatures but also facilitating expression upon stress. An unusual adaptive form of abiotic transcriptional control unrelated to canonical heat signaling is implied, emphasizing a potential importance of genomic satellites for plant environmental epigenetics.
Physiological and molecular aspects of seed longevity: exploring intra‐species variation in eight Pisum sativum L. accessions
Authors: Gianella Maraeva , Doria Enrico , Dondi Daniele , Milanese Chiara , Gallotti Lucia , Börner Andreas , Zannino Lorena , Macovei Anca , Pagano Andrea , Guzzon Filippo , Biggiogera Marco , Balestrazzi Alma
Published: May 2022

Conservation of plant genetic diversity is fundamental for crop improvement, increasing agricultural production and sustainability, especially in the face of climatic changes. Although seed longevity is essential for the management of seed banks, few studies have, so far, addressed differences in this trait among the accessions of a single species. Eight Pisum sativum L. (pea) accessions were investigated to study the impact of long‐term (approximately 20 years) storage, aiming to reveal contrasting seed longevity and clarify the causes for these differences. The outstanding seed longevity observed in the G4 accession provided a unique experimental system. To characterize the biochemical and physical status of stored seeds, reactive oxygen species, lipid peroxidation, tocopherols, free proline and reducing sugars were measured. Thermoanalytical measurements (thermogravimetry and differential scanning calorimetry) and transmission electron microscopy combined with immunohistochemical analysis were performed. The long‐lived G4 seeds neither consumed tocopherols during storage nor showed free proline accumulation, as a deterioration hallmark, whereas reducing sugars were not affected. Thermal decomposition suggested a biomass composition compatible with the presence of low molecular weight molecules. Expansion of heterochromatic areas and reduced occurrence of γH2AX foci were highlighted in the nucleus of G4 seeds. The longevity of G4 seeds correlates with the occurrence of a reducing cellular environment and a nuclear ultrastructure favourable to genome stability. This work brings novelty to the study of within‐species variations in seed longevity, underlining the relevance of multidisciplinary approaches in seed longevity research.
Cellulose accumulation mediated by PbrCSLD5, a cellulose synthase‐like protein, results in cessation of pollen tube growth in Pyrus bretschneideri
Authors: Li Xian , Tang Chao , Li Xiaoqiang , Zhu Xiaoxuan , Cai Yiling , Wang Peng , Zhang Shaoling , Wu Juyou
Published: May 2022

Cellulose, a key component of the cell wall, plays an important role in maintaining the growth of pollen tubes. However, the molecular mechanism of cellulose participating in the cessation of pear pollen tube growth remains unclear. Here, we reported that at 15 h post‐cultured (HPC), the slow‐growth pear pollen tubes showed thickened cell walls and cellulose accumulation in the inner wall. Transcriptome data and quantitative real‐time PCR analysis showed that PbrCSLD5, a cellulose synthesis‐like gene, was highly expressed in the 15 HPC pear pollen tubes. Knockdown of PbrCSLD5 caused a decrease in cellulose content in pear pollen tubes. Moreover, PbrCSLD5 overexpression in Arabidopsis resulted in the accumulation of cellulose and disruption of normal pollen tube growth. Transcription factor PbrMADS52 was found to bind to the promoter of PbrCSLD5 and enhanced its expression. Our results suggested that the PbrMADS52–PbrCSLD5 signaling pathway led to increased cellulose content in the pear pollen tube cell wall, thereby inhibiting pollen tube growth. These results provided new insights into the regulation of pollen tube growth.
Transcriptome analysis and identification of genes associated with oil accumulation in upland cotton
Authors: Song Jikun , Pei Wenfeng , Wang Nuohan , Ma Jianjiang , Xin Yue , Yang Shuxian , Wang Wei , Chen Quanjia , Zhang Jinfa , Yu Jiwen , Wu Man , Qu Yanying
Published: May 2022

Cotton is not only the most important fiber crop but also the fifth most important oilseed crop in the world because of its oil‐rich seeds as a byproduct of fiber production. By comparative transcriptome analysis between two germplasms with diverse oil accumulation, we reveal pieces of the gene expression network involved in the process of oil synthesis in cottonseeds. Approximately, 197.16 Gb of raw data from 30 RNA sequencing samples with 3 biological replicates were generated. Comparison of the high‐oil and low‐oil transcriptomes enabled the identification of 7682 differentially expressed genes (DEGs). Based on gene expression profiles relevant to triacylglycerol (TAG) biosynthesis, we proposed that the Kennedy pathway (diacylglycerol acyltransferase‐catalyzed diacylglycerol to TAG) is the main pathway for oil production, rather than the phospholipid diacylglycerol acyltransferase‐mediated pathway. Using weighted gene co‐expression network analysis, 5312 DEGs were obtained and classified into 14 co‐expression modules, including the MEblack module containing 10 genes involved in lipid metabolism. Among the DEGs in the MEblack module,GhCYSD1was identified as a potential key player in oil biosynthesis. The overexpression ofGhCYSD1in yeast resulted in increased oil content and altered fatty acid composition. This study may not only shed more light on the underlying molecular mechanism of oil accumulation in cottonseed oil, but also provide a set of new gene for potential enhancement of oil content in cottonseeds.
Fear of COVID‐19 mediates the relationship between negative emotional reactivity and emotional eating
Authors: Dominte Mădălina Elena , Swami Viren , Enea Violeta
Published: May 2022

Recent studies have highlighted high levels of emotional eating during the coronavirus (COVID‐19) pandemic, but have not satisfactorily explained these changing eating patterns. Here, we tested one potential explanatory model broadly based on a biosocial model of emotional eating. Specifically, we examined the extent to which negative emotional reactivity was associated with emotional eating, as well as the mediating role of fear of COVID‐19. A total of 474 women from Romania were asked to complete measures of emotional eating, negative emotional reactivity, and fear of COVID‐19. Mediation analysis showed that higher negative emotional reactivity was significantly and directly associated with greater emotional eating. This direct relationship was also mediated by fear of COVID‐19. These results highlight one possible route through which the ongoing COVID‐19 pandemic may have resulted in elevated rates of emotional eating, though further research is needed.
Production of $$\Omega NN$$ and $$\Omega \Omega N$$ in ultra-relativistic heavy-ion collisions
Authors: Zhang Liang , Zhang Song , Ma Yu-Gang
Published: May 2022

Even though lots of $$\Lambda $$
Λ
-hypernuclei have been found and measured, multi-strangeness hypernuclei consisting of $$\Omega $$
Ω
are not yet discovered. The studies of multi-strangeness hypernuclei help us further understand the interaction between hyperons and nucleons. Recently the $$\Omega N$$

Ω
N

and $$\Omega \Omega $$

Ω
Ω

interactions as well as binding energies were calculated by the HAL-QCD’s lattice Quantum Chromo-Dynamics (LQCD) simulations and production rates of $$\Omega $$
Ω
-dibaryon in Au + Au collisions at RHIC and Pb + Pb collisions at LHC energies were estimated by a coalescence model. The present work discusses the production of more exotic triple-baryons including $$\Omega $$
Ω
, namely $$\Omega NN$$

Ω
N
N

and $$\Omega \Omega N$$

Ω
Ω
N

as well as their decay channels. A variation method is used in calculations of bound states and binding energy of $$\Omega NN$$

Ω
N
N

and $$\Omega \Omega N$$

Ω
Ω
N

with the potentials from the HAL-QCD’s results. The productions of $$\Omega NN$$

Ω
N
N

and $$\Omega \Omega N$$

Ω
Ω
N

are predicted by using a blast-wave model plus coalescence model in ultra-relativistic heavy-ion collisions at $$\sqrt{s_{NN}} = 200$$

s

NN

=
200

GeV and 2.76 TeV. Furthermore, plots for baryon number dependent yields of different baryons (N and $$\Omega $$
Ω
), their dibaryons and hypernuclei are made and the production rate of a more exotic tetra-baryon ($$\Omega \Omega NN$$

Ω
Ω
N
N

) is extrapolated.
R &D of wavelength-shifting reflectors and characterization of the quantum efficiency of tetraphenyl butadiene and polyethylene naphthalate in liquid argon
Authors: Araujo G. R. , Baudis L. , McFadden N. , Krause P. , Schönert S. , Wu V. H. S.
Published: May 2022

Detectors based on liquid argon (LAr) often require surfaces that can shift vacuum ultraviolet (VUV) light and reflect the visible shifted light. For the LAr instrumentation of the LEGEND-200 neutrinoless double beta decay experiment, several square meters of wavelength-shifting reflectors (WLSR) were prepared: the reflector Tetratex® (TTX) was in-situ evaporated with the wavelength shifter tetraphenyl butadiene (TPB). For even larger detectors, TPB evaporation will be more challenging and plastic films of polyethylene naphthalate (PEN) are considered as an option to ease scalability. In this work, we first characterized the absorption (and reflectivity) of PEN, TPB (and TTX) films in response to visible light. We then measured TPB and PEN coupled to TTX in a LAr setup equipped with a VUV sensitive photomultiplier tube. The effective VUV photon yield in the setup was first measured using an absorbing reference sample, and the VUV reflectivity of TTX quantified. The characterization and simulation of the setup along with the measurements and modelling of the optical parameters of TPB, PEN and TTX allowed to estimate the absolute quantum efficiency (QE) of TPB and PEN in LAr (at 87K) for the first time: these were found to be above 67 and 49%, respectively (at 90% CL). These results provide relevant input for the optical simulations of experiments that use TPB in LAr, such as LEGEND-200, and for experiments that plan to use TPB or PEN to shift VUV scintillation light.
Nonlinear dynamical Casimir effect at weak nonstationarity
Authors: Trunin Dmitrii A.
Published: May 2022

We show that even small nonlinearities significantly affect particle production in the dynamical Casimir effect at large evolution times. To that end, we derive the effective Hamiltonian and resum leading loop corrections to the particle flux in a massless scalar field theory with time-dependent Dirichlet boundary conditions and quartic self-interaction. To perform the resummation, we assume small deviations from the equilibrium and employ a kind of rotating wave approximation. Besides that, we consider a quantum circuit analog of the dynamical Casimir effect, which is also essentially nonlinear. In both cases, loop contributions to the number of created particles are comparable to the tree-level values.
Using mobile money data and call detail records to explore the risks of urban migration in Tanzania
Authors: Lavelle-Hill Rosa , Harvey John , Smith Gavin , Mazumder Anjali , Ellis Madeleine , Mwantimwa Kelefa , Goulding James
Published: May 2022

Understanding what factors predict whether an urban migrant will end up in a deprived neighbourhood or not could help prevent the exploitation of vulnerable individuals. This study leveraged pseudonymized mobile money interactions combined with cell phone data to shed light on urban migration patterns and deprivation in Tanzania. Call detail records were used to identify individuals who migrated to Dar es Salaam, Tanzania’s largest city. A street survey of the city’s subwards was used to determine which individuals moved to more deprived areas.t-tests showed that people who settled in poorer neighbourhoods had less money coming into their mobile money account after they moved, but not before. A machine learning approach was then utilized to predict which migrants will move to poorer areas of the city, making them arguably more vulnerable to poverty, unemployment and exploitation. Features indicating the strength and location of people’s social connections in Dar es Salaam before they moved (‘pull factors’) were found to be most predictive, more so than traditional ‘push factors’ such as proxies for poverty in the migrant’s source region.
A Robust 3D-Convolutional Neural Network-Based Electroencephalogram Decoding Model for the Intra-Individual Difference
Authors: Li Mengfan , Wu Lingyu , Xu Guizhi , Duan Feng , Zhu Chi
Published: May 2022

The convolutional neural network (CNN) has emerged as a powerful tool for decoding electroencephalogram (EEG), which owns the potential use in the event-related potential-based brain–computer interface (ERP-BCI). However, the intra-individual difference of ERP makes the traditional learning models trained on static EEG data hard to decode when the EEG features vary along the time, which limits the long-time performance of the model. Addressing this problem, this study proposes a three-dimension CNN (3D-CNN)-based model to decode the ERPs dynamically. As input, the EEG is transformed into a brain topographic map stream along time. Then the 3D-CNN applies three-dimension kernels to capture the dynamical characteristic of spatial feature at several time points. Ten subjects participated in a cross-time task for 6 or 12[Formula: see text]h. The 3D-CNN shows higher accuracies and shorter computational cost than the baseline models of the 2D-CNN, the long short term memory (LSTM), the back propagation (BP), and the fisher linear discriminant analysis (FLDA) when detecting the ERPs. In addition, four schemes of the 3D-CNN are compared to explore the influence of the structure on the performance. This result demonstrates advanced robustness of the 3D-CNN kernel to the intra-individual EEG difference, helping to launch a more practical EEG decoding model for a long-time use.
Development and assessment of the interface lattice Boltzmann flux solvers for multiphase flows
Authors: Yang Liuming , Liu Shicheng , Ao Lei , Yu Yang , Hou Guoxiang , Wang Yan
Published: May 2022

Unlike the lattice Boltzmann method (LBM), the lattice Boltzmann flux solver (LBFS) is free from the limitation of uniform meshes, coupled time step and mesh spacing, and high memory cost. Specifically, the existing interface LBFS (LBFS-CH0) is reconstructed by locally applying the Cahn–Hilliard-based (CH-based) LBM with additional artificial terms. In the framework of LBM, the influence of the additional artificial terms has been assessed. Besides, the comparative study of the CH-based and the Allen–Cahn-based (AC-based) LBM shows that the latter has higher accuracy and stability. Though the LBFS is originated from the LBM, their performances may not be exactly the same. In this study, the AC-based and CH-based LBFS (LBFS-AC and LBFS-CH1) models which can accurately recover the phase field equations are developed from the interface LBM models without any additional terms. The gradient term in the LBFS-AC is discretized by the second-order central difference method. Compared with the LBFS-CH0, the LBFS-CH1 can eliminate the additional terms and recover the true CH equation. Then these interface LBFS models are compared to evaluate their performance and the influence of the additional terms. Different from the LBM, it is found that the CH-based LBFS is superior to the AC-based one in terms of the numerical accuracy and stability. In addition, numerical results show that the additional terms have minor effect on the ability to model the phase interface. This study can provide guidance to ensure the accuracy and stability of interface modeling. Taking into account the accuracy, stability and simplicity, we can conclude that the LBFS-CH0 model could be the first choice to simulate the phase interface in the framework of LBFS.
PINN-FFHT: A physics-informed neural network for solving fluid flow and heat transfer problems without simulation data
Authors: Zhang Qingyang , Guo Xiaowei , Chen Xinhai , Xu Chuanfu , Liu Jie
Published: May 2022

In recent years, physics-informed neural networks (PINNs) have come to the foreground in many disciplines as a new way to solve partial differential equations. Compared with traditional discrete methods and data-driven surrogate models, PINNs can learn the solutions of partial differential equations without relying on tedious mesh generation and simulation data. In this paper, an original neural network structure PINN-FFHT based on PINNs is devised to solve the fluid flow and heat transfer problems. PINN-FFHT can simultaneously predict the flow field and take into consideration the influence of flow on the temperature field to solve the energy equation. A flexible and friendly boundary condition (BC) enforcement method and a dynamic strategy that can adaptively balance the loss term of velocity and that of temperature are proposed for training PINN-FFHT, serving to accelerate the convergence and improve the accuracy of predicted results. Three cases are predicted to validate the capabilities of the network, including the laminar flow with the Dirichlet BCs in heat transfer, respectively, under the Cartesian and the cylindrical coordinate systems, and the thermally fully developed flow with the Neumann BCs in heat transfer. Results show that PINN-FFHT is faster in convergence speed and higher in accuracy than traditional PINN methods.
Lattice Boltzmann simulation of particles inertial migration with slippery surface and moderate concentration in circular tube flow
Authors: Liu Shasha , He Qing , Tao Shi , Wang Wenhao , Luo Jiahong
Published: May 2022

Hydrodynamic migration of spherical slippery particles suspended in a cylindrical channel flow is numerically studied in this paper. The effects of the particle concentration of particle ([Formula: see text], tube-to-particle diameter ratio ([Formula: see text] and Knudsen number (Kn), respectively, with ranges of [Formula: see text] and [Formula: see text] with the channel Reynolds number of [Formula: see text], are concerned in the simulations. The objective of this work is to explore the pipeline transportation of relatively large and moderately dense particles with slippery surface, for which the characteristics have not been comprehensively exhibited in the literature. Such particle-resolved suspension flow is solved by a three-dimensional lattice Boltzmann method, where a curved kinetic boundary condition is adopted to resolve the velocity slip phenomenon at the fluid-particle interface, and the particle-particle collision is performed by a repulsive force model. The results elucidate that the effect of particle focusing is less marked at intermediate concentrations. At larger [Formula: see text], some particles may migrate to the center of channel due to the aggravation of the mutual collision. The increase of Re contributes to the particle focusing at low [Formula: see text], but not for the case of higher [Formula: see text]. On the other hand, the [Formula: see text] generally has a negative effect on the inertial focusing. Furthermore, the migration velocity of particles reduces and the behavior of inertial focusing is enhanced simultaneously, with the increase of Kn.
Spatial structure might impede cooperation in evolutionary games with reinforcement learning
Authors: Shi Qi , Xiao Shilin , Dai Qionglin , Li Haihong , Yang Junzhong
Published: May 2022

Cooperation has attracted considerable attention in recent years. In order to explain altruistic cooperation behaviors that emerged in social dilemmas, a large number of mechanisms have been proposed under the framework of traditional evolutionary game (EG) theory, especially network reciprocity, which has achieved great success. On the other hand, the design of AI algorithm provides a new idea for agents’ decision-making behaviors. The influence of multi-agent reinforcement learning (RL) on cooperation has also received a lot of attention. However, the study of EG with AI algorithm in a population located on spatial structures has not been thoroughly considered. In this paper, we incorporate RL into EGs conducted on spatial structures. By numerical simulations, we find that, in comparison to the well-mixed case, cooperation might be impeded in the population located on spatial structures when the agents update their strategies by adopting Q-learning algorithm instead of pairwise imitation that widely used in traditional EGs. We further reveal the mechanism for the evolution of cooperation in the EGs with Q-learning algorithm, by investigating the distributions of the Q-tables held by agents in the population. Our findings may help understand the different outcomes on spatial structures in EGs with Q-learning algorithm when compared with that in traditional EGs.
Stable nonsingular cosmologies in beyond Horndeski theory and disformal transformations
Authors: Mironov S. , Volkova V.
Published: May 2022

In this paper, we collect, systemize and generalize the existing results for relations between general Horndeski theories and beyond Horndeski theories via disformal transformations of metric. We focus on those subclasses of beyond Horndeski theories which are disformally related to Horndeski theories and derive additional transformation rules relating the Lagrangian functions of these two theories. Then we demonstrate that some of these transformation rules become singular at some moments(s) once one constructs a nonsingular cosmological solution in beyond Horndeski theory that is free from ghost, gradient instabilities and strong gravity regime during the entire evolution of the system. The key issue here is that such solutions are banned in Horndeski theory due to the existing no-go theorem. The proof of singular behavior of disformal relations in this case resolves the apparent contradiction between the fact that Horndeski and beyond Horndeski theories were initially implied to be related via healthy field redefinition and at the same time these theories describe different physics in the context of nonsingular cosmologies.
On Schwinger pair production between D3 branes
Authors: Wu Zihao
Published: May 2022

We study the open string pair production between two D3 branes, which will give rise to similar effect as Schwinger pair production for observers on one of the D3 branes. The D3 branes are placed parallel at a distance, and they are carrying world-volume electromagnetic fluxes that take a general form. We derive the pair production rate by computing the interaction amplitude between the D3 branes. We discussed how to maximize the pair production rate in this general case. We also mentioned that the general result can be used to describe other system such as D3–D1, where the pair production is ultra large compared to original Schwinger pair production, making it hopeful to observe pair production in experiments.
Null-dimensional reduction of M2-brane
Authors: Klusoň Josef
Published: May 2022

In this paper, we perform a general reduction of an M2-brane on a space–time that admits a null Killing vector leading to fundamental string and D2-brane action in Newton–Cartan background.
Experimental signals for a second resonance of the Higgs field
Authors: Consoli Maurizio , Cosmai Leonardo
Published: May 2022

In the region of invariant mass 620–740 GeV, we have analyzed the ATLAS sample of 4-lepton events that could indicate a new scalar resonance produced mainly via gluon–gluon fusion. These data suggest the existence of a new heavy state [Formula: see text] whose mass 660–680 GeV would fit well with the theoretical range [Formula: see text] for the hypothetical second resonance of the Higgs field that has been recently proposed and which would couple to longitudinal W’s with the same typical strength of the low-mass state at [Formula: see text] GeV. Since the total width [Formula: see text] is very poorly determined, to sharpen the analysis of the precious ATLAS data, we have considered a particular correlation between resonating peak cross-section [Formula: see text] and the ratio [Formula: see text]. This correlation should be nearly insensitive to the precise value of [Formula: see text] and mainly determined by the lower mass [Formula: see text] GeV. Equivalently, if this correlation holds true, one could also fit [Formula: see text] from the 4-lepton data in the high-mass range 620–740 GeV. The result [Formula: see text] GeV reproduces the direct measurement of the Higgs particle mass and thus supports the idea that [Formula: see text] and [Formula: see text] are the masses of two different excitations of the same field. Therefore, if we combine with the excess at 680 GeV in the ATLAS [Formula: see text] distribution, there are now two signals for a new resonance in the same mass region. Even though, quantitatively, the global statistical significance of each effect is modest, still the sharp correlation [Formula: see text] in the 4-lepton channel should induce to consider seriously these indications.
Polarization through the elastic scattering in magnetic field
Authors: Lebedev S. L.
Published: May 2022

There exists conceptual possibility to obtain the polarized beams of particles through their elastic scattering in magnetic field. Here such possibility is discussed with the use of classical spin models for, both, the cases of charged and neutral magneton. In the charged particle case the fundamental possibility to observe the effect stems from results of Novosibirsk experiment carried out in 1984. Within the proposed schematic design the polarization process lies in more rapid getting out from the trajectory of those particles which have “wrong” spin directions. For the charged particle the BMT and Frenkel models predict opposite Langevin-type polarizations and for the neutral particles the results obtained from the both are identical being consistent with the previous studies. Parameter [Formula: see text] (Sokolov–Ternov polarization time for electrons) is shown to emerge within the classical theory. The effect of noncomplete equilibrium polarization degree cannot be obtained in such model experiment since the kinetic process of the spin-flip transitions is left beyond the scheme considered. At that time the noninertial nature of motion entails in asymmetry between dependencies of spin–spin radiation rate on two horizontal spin components. This purely classical property is analyzed in the context of so-called “circular Unruh effect.”
Lorentz and permutation invariants of particles III: Constraining nonstandard sources of parity violation
Authors: Lester Christopher G. , Haddadin Ward , Gripaios Ben
Published: May 2022

Comparisons of the positive and negative halves of the distributions of parity-odd event variables in particle-physics experimental data can provide sensitivity to sources of nonstandard parity violation. Such techniques benefit from lacking first-order dependence on simulations or theoretical models, but have hitherto lacked systematic means of enumerating all discoverable signals. To address that issue this paper seeks to construct sets of parity-odd event variables which may be proved to be able to reveal the existence of any Lorentz-invariant source of nonstandard parity violation which could be visible in data consisting of groups of real nonspace-like four-momenta exhibiting certain permutation symmetries.
Kinetic factors in affine quantization and their role in field theory Monte Carlo
Authors: Fantoni Riccardo , Klauder John R.
Published: May 2022

Affine quantization, which is a parallel procedure with canonical quantization, needs to use its principal quantum operators, most simply [Formula: see text] and [Formula: see text], to represent appropriate kinetic factors, normally [Formula: see text], which involve only one canonical quantum operator. The need for this requirement stems from the quantization of selected problems that require affine quantization to achieve valid Monte Carlo results. This task is resolved for introductory examples as well as examples that involve scalar quantum field theories.
Fermion mass hierarchy and lepton flavor violation using CP symmetry
Authors: Ganguly Joy
Published: May 2022

In this paper, we present a model which employs [Formula: see text] symmetries where quark mixing and charged leptons masses are explained by following some texture. To achieve neutrino mass and mixing, we write a nonrenormalizable Lagrangian using type II seesaw mechanism by assuming [Formula: see text] couplings predicting no CP violation. Then, we calculate the value of the couplings for both normal and inverted ordering of neutrino masses. We propose a mechanism of ultraviolet (UV) completion that motivates the higher-dimensional Lagrangian in the neutrino sector. We also calculate the branching fraction of lepton flavor violating decays driven by triplet scalar for the model. Later, it is shown that the model can also accommodate maximal CP violation by breaking the CP symmetry spontaneously.
Consequences of a minimal length in a pseudo-complex extension of general relativity
Authors: Maghlaoui Leila , Hess Peter O.
Published: May 2022

In this paper, the effects of a minimal length are investigated within an algebraically extended theory of General Relativity (GR). Former attempts, to include a minimal length in GR, are first resumed with a conformal factor of the metric as a consequence. Effective potentials for various black hole masses (as ratios to the minimal length) are deduced. It is found that the existence of a minimal length has, for a small mass black hole, important effects on the effective potential near the event horizon, creating barriers which inhibit that particles can pass the event horizon. Further, a new limit for the minimal mass of a black hole is derived.
Large-scale structure power spectrum from scalar–tensor gravity
Authors: Ntahompagaze Joseph , Abebe Amare , Mbonye Manasse R.
Published: May 2022

This work deals with the computation of the power spectrum of large-scale structure using the dynamical system approach for a multifluid universe in scalar–tensor theory of gravity. We use the 1 + 3 covariant approach to obtain evolution equations and study the behavior of the matter power spectrum of perturbation equations. The study is based on the equivalence between f(R) theory of gravity and scalar–tensor theory of gravity. We find that, for power-law [Formula: see text] models, with [Formula: see text], we have the power spectrum evolving above general relativistic scale-invariant line. For [Formula: see text], the power spectrum starts with constant amplitude then it experiences oscillations and eventually saturates at finite amplitude. Such behavior is consistent with other observations in the literature. The result supports the ongoing investigations of the equivalence between f(R) and scalar–tensor theory at linear order.
Hyperbolic space in the Newtonian limit: The cosmological constant
Authors: Castro-Palacio J. C. , de Córdoba P. Fernández , Torromé R. Gallego , Isidro J. M.
Published: May 2022

In this paper, the cosmological constant and the Boltzmann entropy of a Newtonian Universe filled with a perfect fluid are computed, under the assumption that spatial sections are copies of 3-dimensional hyperbolic space.
Anisotropic compact stars in presence of electromagnetic field, quintessence field and cosmological constant in f(G) gravity
Authors: Pada Das Krishna , Debnath Ujjal
Published: May 2022

In this work, we have discussed the anisotropic compact stars in the framework of modified Gauss–Bonnet gravity, named by f(G) theory of gravity. We have found the equations of motion of stars with respect to spherically symmetric metric, describing interior geometry of the compact stellar object, anisotropic mode of the matter distribution in the presence of electromagnetic field and quintessence field. We have taken the metric coefficients in the form [Formula: see text] and [Formula: see text] as well as a particular form of [Formula: see text], where the powers and coefficients of r are constants. The unknown constants are evaluated by matching between interior and exterior Reissner–Nordström–de Sitter metric. We have analyzed some physical aspects like energy density, radial and tangential pressures, anisotropic parameter of matter distribution, energy conditions, mass-radius relation, compactness factor, surface redshift, and stability of our resulting solutions through graphical behavior by comparing to the observational data of different types of compact stars like 4U1820-30, Vela X-1 and SAXJ1808.4-3658. We conclude that all physical attributes maintain their experimental ranges which deliver our anisotropic compact star models are viable and also stable upto certain region in [Formula: see text] gravity theory.
Study of fusion cross-section and astrophysical S-factor for p+15N and α+12C at sub-barrier energy
Authors: Mondal S. H. , Khan Md. A.
Published: May 2022

Nuclear fusion reactions at low energies ([Formula: see text][Formula: see text]eV to few KeV) are crucial for the primordial nucleosynthesis of light elements. Nuclear fusion reactions in this energy window can be understood fruitfully in terms of quantum mechanical tunneling through the mutual Coulomb barrier of interacting nuclei. In this work, we studied the fusion cross-section, [Formula: see text] and astrophysical S-factor in the selective resonant tunneling model (SRTM) approach for the [Formula: see text]N and [Formula: see text]C nuclear fusion reactions. We used space varying complex Gaussian type nuclear potential here. The quantum mechanical findings of the fusion cross-section, [Formula: see text] and S-factor are in excellent agreement with the experimentally observed results found in the literature. The improved value of astrophysical S-factors for light nuclei may give a more clear picture of the elemental abundance in primordial nucleosynthesis.
A theoretical study on the effective quadrupole deformations of 100−128Cd isotopic chain
Authors: Hosseinnezhad Asgar , Majarshin Amir Jalili , Sabri Hadi
Published: May 2022

In this paper, we have applied a simple interacting boson model (IBM) to Cadmium (Cd) isotopic chain to obtain the quadrupole transition rates and effective deformation. To this aim, we use the U(5) and O(6) dynamical symmetry limits of this model to classify the considered states. Also, the energy spectra of some levels are determined which their experimental counterparts are available. The results describe the regular states with high accuracy but suggest notable deviation in the prediction of intruder energy levels. Also, our results show the advantages of this formalism in the description of quadrupole transition rates and indicate a significant relationship between the values of effective quadrupole deformations and effective boson charge. Also, for the [Formula: see text]Cd, [Formula: see text]Cd and [Formula: see text]Cd isotopes, we have the largest variation of the quadrupole shape constants which are located in the region of shape coexistence. The study of the ratios of different energy levels indicates that there is a close relationship between ground and excited-state quantum phase transitions (ESQPTs).
Microscopic shell-model description of strongly deformed nuclei: 158Gd
Authors: Ganev H. G.
Published: May 2022

A recently proposed microscopic version of the Bohr–Mottelson collective model, defined by the following dynamical symmetry chain [Formula: see text] of the proton–neutron symplectic model (PNSM), is applied to the microscopic shell-model description of the low-lying collective excitations in a typical strongly deformed nucleus, namely, [Formula: see text]Gd. Detailed shell-model results are presented for the ground, [Formula: see text] and [Formula: see text] bands excitation levels, probability distributions and quadrupole collectivity. A good overall description is obtained for the excitation energies of the three bands under consideration in [Formula: see text]Gd without using an adjustable kinetic-energy term, as well as for the ground state intraband [Formula: see text] quadrupole collectivity and the known interband [Formula: see text] transition probabilities between the low-lying collective states without the use of an effective charge.
A Group Consensus Reaching Method Considering Satisfaction of Decision Makers with Distributed Preference Relations
Authors: Liu Yin , Xue Min
Published: May 2022

In multi-criteria group decision-making, how to generate a consensus-based solution that is satisfactory to most of the decision makers, is always a critical research issue. In this paper, with consideration of the satisfaction levels of decision makers, a new group consensus reaching method with distributed preference relations (DPRs) is proposed to generate the consensus-based solution with high satisfaction level. In the proposed method, the consensus measurement of DPRs is constructed in terms of decision makers’ risk attitudes to help justify whether the predefined consensus requirement is satisfied. Afterwards, the satisfaction level of each decision maker on each criterion is constructed from the differences between assessments and rankings provided by decision makers and those aggregated by a group of decision makers. Based on the satisfaction levels of decision makers, a new feedback mechanism including identification rules and direction rules is designed to generate acceptable recommendations to decision makers who may need to modify their opinions. The modified opinions will help to generate the consensus-based solution that is satisfactory to most of the decision makers. To demonstrate the applicability and validity of the proposed consensus reaching method, a real case of evaluating safety performance of an enterprise is investigated.
A Novel Risk Assessment Approach Using a Hybrid Method Based On Fine–Kinney and Extended MCDM Methods Under Interval-Valued Intuitionistic Fuzzy Environment
Authors: Seker Sukran
Published: May 2022

Subway construction is one of the most dangerous industries due to the highest number of occupational accidents. Risk assessment is an effective tool to evaluate risk factors and reduce the number of accidents in such industries. In this study, a novel risk assessment method is proposed using three-stage hybrid method based on Fine–Kinney risk assessment method to evaluate the risk factors encountered in subway constructions and take necessary precautions against possible accidents. Accordingly, in order to deal with the drawbacks of the Fine–Kinney risk assessment method, a novel hybrid approach, which includes Fine–Kinney, analytic hierarchy process (AHP), and multiple multi-objective optimization by ratio analysis (MULTIMOORA) methods, is suggested under interval-valued intuitionistic fuzzy (IVIF) environment to handle uncertainty in the risk evaluation. To demonstrate the applicability and benefits of the proposed hybrid risk assessment method, a real-life case study in subway construction is presented. To determine the weights of three risk parameters in Fine–Kinney method and the risk priority of occupational risk factors in subway construction, IVIF-AHP and IVIF-MULTIMOORA methods are performed, respectively. Then, a sensitivity analysis is applied to confirm the robustness of the proposed method. Finally, a comparative analysis is carried out to check the consistency of the ranking of risk factors obtained in proposed method. The results prove that the proposed risk assessment method generates consistent and reliable results.
Comparative Analysis of MultiCriteria Inventory Classification Models for ABC Analysis
Authors: Kaabi Hadhami
Published: May 2022

ABC analysis is a commonly used inventory classification technique which consists in splitting a large number of inventory items into three categories, A, B and C: category A consists in the most important items, category B consists in the moderately important items and category C consists in the least important ones. Through this classification, inventory items are managed in an efficient way. In this paper, we argue the benefits of cross-fertilization of both Artificial Intelligence (AI) and MultiCriteria Decision Making (MCDM) techniques to carry out the ABC classification of inventory items. For this purpose, we develop some new hybrid inventory classification models based on metaheuristics (AI techniques) to generate the criteria weights and on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method (MCDM technique) to compute the overall weighted score of each item on which the ABC classification is performed. To evaluate the effectiveness of the proposed classification models with respect to some classification models from the literature, a comparative study — based on a service-cost analysis and three real datasets — is conducted. The computational analysis demonstrates that our proposed hybrid models are competitive and produce satisfactory results. The results have also shown, that our proposed models outperform some existing models from the literature.
A Novel Integrated Fuzzy-Rough MCDM Model for Assessment of Barriers Related to Smart Logistics Applications and Demand Forecasting Method in the COVID-19 Period
Authors: Stević Željko , Korucuk Selçuk , Karamaşa Çağlar , Demir Ezgi , Zavadskas Edmundas Kazimieras
Published: May 2022

During the pandemic period, smart logistics applications have rapidly changed the way organizations do business in order to provide competitive products and services while still remaining flexible. Smart logistics applications and demand forecasting, which have an important place in ensuring customer satisfaction and increasing competitive advantage, came to the fore even more in this period. However, smart logistics applications are often bogged down by several barriers, and then there is the need to choose the most ideal demand forecasting method despite these barriers. The main purpose of this study is to assess the barriers to the smart logistics applications in companies that receive and provide logistics services with corporate identity in Ordu Province, and to choose the most ideal demand forecasting method during the COVID-19 period. This study has the characteristic of a roadmap that helps the construction of smart logistics transformation applications by detecting barriers related to smart logistics applications and determining the most ideal demand forecasting alternative in logistics sector. Fuzzy FUCOM (FUll COnsistency Method)-based interval rough EDAS (Evaluation based on Distance from Average Solution) methodology was used to weight the barriers and to rank and choose the most ideal demand forecasting method during COVID-19 period, respectively.