bluuebunny/crossref_metadata_2025 huggingface dataset:
Entangled Interdependence: Sign Language Interpreting without Recognition in India and Vietnam
Authors: Marie Aron , Friedner Michele
Published: November 2021

Disabled people have achieved more legal recognition from nation‐states and societies because of advocacy and institutional efforts such as the United Nations Convention on the Rights of Persons with Disabilities. This is a starting, not an end, point: How does legal recognition trickle down (or not) or become distributed to those who work with disabled people? This article examines this question by ethnographically attending to the experiences of two sign language interpreters in Bangalore, India, and in Hà Nội, Vietnam. While both countries recognize deaf peoples’ rights, there is limited institutional or financial recognition of interpreters. Interpreters’ daily lives and individual projects of recognition are shaped by broader socio‐political contexts. The article argues that in the absence of legal recognition, recognition is an interpersonal process that is both produced by and produces forms of relationship and responsibility. How do interpreters seek and receive recognition from the state as well as deaf people, hearing colleagues, and society at large? Attending to recognition projects highlights how deaf people and interpreters are bound together in mutual systems of precarious interdependence. Recognition is negotiated across multiple scales and influences individuals’ life projects and livelihoods. [recognition, disability, deafness, sign language, interpreting]
Extended red blood cell matching for all transfusion recipients is feasible
Authors: van Sambeeck Joost H. J. , van der Schoot C. Ellen , van Dijk Nico M. , Schonewille Henk , Janssen Mart P.
Published: November 2021

Objective

To demonstrate the feasibility and effectiveness of extended matching of red blood cells (RBC) in practice.

Background

At present, alloimmunisation preventing matching strategies are only applied for specific transfusion recipient groups and include a limited number of RBC antigens. The general assumption is that providing fully matched RBC units to all transfusion recipients is not feasible. In this article we refute this assumption and compute the proportion of alloimmunisation that can be prevented, when all donors and transfusion recipients are typed for A, B, D plus twelve minor blood group antigens (C, c, E, e, K, Fya, Fyb, Jka, Jkb, M, S and s).

Methods

We developed a mathematical model that determines the optimal sequence for antigen matching. The model allows for various matching strategies, issuing policies and inventory sizes.

Results

For a dynamic inventory composition (accounting for randomness in the phenotypes supplied and requested) and an antigen identical issuing policy 97% and 94% of alloimmunisation events can be prevented, when respectively one and two RBC units per recipient are requested from an inventory of 1000 units. Although this proportion decreases with smaller inventory sizes, even for an inventory of 60 units almost 50% of all alloimmunisation events can be prevented.

Conclusion

In case antigen of both donors and recipients are comprehensively typed, extended preventive matching is feasible for all transfusion recipients in practice and will significantly reduce transfusion‐induced alloimmunisation and (alloantibody‐induced) haemolytic transfusion reactions.
Ideologies of English‐medium instruction in Vietnam
Authors: Tri Dang H.
Published: November 2021

This study seeks to conduct a multi‐layered examination of language ideologies in English‐medium instruction (EMI) education anchored in policy documents and relevant stakeholders’ discourse in Vietnam. Research data were based on national and institutional policies and interviews with ten university administrators, 15 content lecturers, and five focus groups of six students. The findings indicate that EMI is ideologically embraced as producing different forms of capital, including linguistic, cultural, economic, and social capital, all of which have enormous potential for the cause of national socio‐economic development, internationalization of higher education, and individual future employability. However, the study demonstrates that the way EMI is celebrated and glorified as access to supreme quality education unexpectedly gives it symbolic power and undoubtedly downgrades the mother tongue as a medium of instruction. The study is concluded with implications and recommendations for further research on language ideologies in EMI education.
The Fecal Microbiome and Metabolome of Pitt Hopkins Syndrome, a Severe Autism Spectrum Disorder
Authors: Dilmore Amanda H. , McDonald Daniel , Nguyen Tanya T. , Adams James B. , Krajmalnik-Brown Rosa , Elijah Emmanuel , Dorrestein Pieter C. , Knight Rob
Published: November 2021

GI disturbances in ASD such as severe constipation can be medically significant and often require medication. This is especially true for individuals with PTHS, suggesting that the gut microbiome may be involved in PTHS’s pathology.
Artificial Selection on Microbiomes To Breed Microbiomes That Confer Salt Tolerance to Plants
Authors: Mueller Ulrich G. , Juenger Thomas E. , Kardish Melissa R. , Carlson Alexis L. , Burns Kathleen M. , Edwards Joseph A. , Smith Chad C. , Fang Chi-Chun , Des Marais David L.
Published: November 2021

We developed an experimental protocol that improves earlier methods of artificial selection on microbiomes and then tested the efficacy of our protocol to breed root-associated bacterial microbiomes that confer salt tolerance to a plant. Salt stress limits growth and seed production of crop plants, and artificially selected microbiomes conferring salt tolerance may ultimately help improve agricultural productivity.
Atypical presentation of plasmablastic lymphoma in immunocompetent patient
Authors: Khan Muhammad Danish , Natarajan Shiva , Lekharaju Venkata
Published: November 2021

Plasmablastic lymphoma (PBL) is an uncommon and aggressive type of mature B cell lymphoma rarely involving gastrointestinal (GI) tract. Here, we describe a case of PBL involving the colon in HIV/Epstein-Barr virus negative immunocompetent patient who presented with anaemia and weight loss but no significant GI symptoms. It emphasises that even in the absence of classical risk factors, one should consider possibility of this condition as this is potentially curable. Also, we would like to highlight the diagnostic and treatment challenges of such an aggressive lymphoma in a frail elderly patient with multiple comorbidities.
Hypercalcaemia inMycobacterium kansasiipulmonary infection
Authors: Flowers Robert Costigan , Ocampo Javier , Krautbauer Justin , Kupin Warren L
Published: November 2021

A gentleman in his 60s with end-stage kidney disease status post kidney transplantation on prednisone and tacrolimus presented with generalised weakness for 7 days, associated with altered mental status. Investigations revealed pancytopenia, acute kidney injury, hypercalcaemia, decreased parathyroid hormone (PTH) and normal calcitriol levels. CT of the chest showed multifocal lung opacities suspicious for malignancy. Bronchoscopy with biopsy yielded no malignant cells, and bronchoalveolar lavage specimens grewMycobacterium kansasii. The patient was treated with bisphosphonates, calcitonin and antibiotics for non-tuberculous mycobacteria pulmonary infection, with improvement in serum calcium levels, and was discharged after 5 weeks of hospitalisation.

The work-up for hypercalcaemia begins with PTH measurement, and low PTH levels are consistent with malignancy, immobilisation and granulomatous diseases. Hypercalcaemia in the lattermost is classically caused by overproduction of calcitriol by activated macrophages. However, there are case reports of mycobacterial infections with hypercalcaemia despite normal calcitriol levels, supporting the existence of an additional mechanism of hypercalcaemia in granulomatous infections.
Topiramate-induced severe electrolyte abnormalities and hypernatremia leading to central pontine myelinolysis
Authors: Muaddi Luba , Osman Omar , Clark Barbara
Published: November 2021

Central pontine myelinolysis (CPM) develops due to acute hypernatremia from a normal baseline serum sodium in the setting of electrolyte abnormalities induced by topiramate use. Topiramate is a commonly used medication with several indications including migraines, myoclonic jerks and seizures. It has been reported to cause renal tubular acidosis and severe electrolyte abnormalities, which in turn predispose patients to neuropathology via renal concentration defects and osmotic shifts. Our patient is a 55-year-old woman with a history of multiple sclerosis and myoclonus on topiramate for several years who presented with weakness and was found to be profoundly hypokalemic. She went on to develop changes in mental status, motor deficits and evidence of CPM on MRI during her hospitalisation. Surprisingly, the patient never had hyponatremia; however, she had an acute rise in serum sodium from a normal baseline after fluid resuscitation with normal saline for hypotension during her admission.
Self-limiting severe neutropenia in a patient with COVID-19
Authors: Singh Ram , Ratre Brajesh Kumar , Sirohiya Prashant , Bhatnagar Sushma
Published: November 2021

Neutropenia is a rare haematological complication of COVID-19 infection in immunocompetent patients. There is sparse literature on neutropenia in patients with COVID-19, except a few case reports. We encountered a similar case in an intensive care unit that developed severe neutropenia on day 24 of illness. Neutropenia resolved spontaneously on 4th day of its appearance. The patient was isolated and kept under close observation, antibiotics were upgraded and strict asepsis was maintained. Thus, we observed in a patient with no comorbidities and uncomplicated neutropenia that strict measures to prevent infection may suffice and the undue risk of hematopoietic therapy can be avoided. An expert opinion should always be sought in such cases as the presence of complications may require an aggressive approach.
Regional and socioeconomic disparities in cardiovascular disease in Canada during 2005–2016: evidence from repeated nationwide cross-sectional surveys
Authors: Dai Haijiang , Tang Biao , Younis Arwa , Kong Jude Dzevela , Zhong Wen , Bragazzi Nicola Luigi
Published: November 2021

Introduction

The objective of this study is to examine the temporal trends and patterns of regional and socioeconomic disparities in cardiovascular disease (CVD) in Canada during 2005–2016.

Methods

A total of 670 000 adults aged ≥20 years who participated in the Canadian Community Health Surveys between 2005 and 2016 were enrolled for this study. CVD referred to heart disease and stroke in this study. Equivalised household income was used as a proxy of socioeconomic status. Absolute and relative socioeconomic inequalities were measured by slope index of inequality (SII) and relative index of inequality (RII), respectively.

Results

In 2015/2016, the overall age-adjusted and sex-adjusted prevalence of heart disease and stroke was 4.80% (95% CI 4.61% to 4.98%) and 1.25% (95% CI 1.13% to 1.36%), respectively. Trend analyses suggested a significant decline in the age-adjusted and sex-adjusted prevalence of heart disease (P for trend <0.001) and a non-significant decline in the age-adjusted and sex-adjusted prevalence of stroke (P for trend=0.058) from 2005 to 2016. Nevertheless, the total number of adults suffering from heart disease and stroke increased by 8.9% and 20.2% over the study period, respectively. Moreover, the age-adjusted and sex-adjusted prevalence of heart disease and stroke varied widely across all health regions, and both of them tended be higher among those with lower income. The SII and RII indicated that there were persistent absolute and relative socioeconomic inequalities in heart disease and stroke across all surveys (eg, SII for heart disease in both sexes, 2005: 0.04 (95% CI 0.03 to 0.04); 2015/2016: 0.03 (95% CI, 0.02 to 0.04); RII for heart disease in both sexes, 2005: 1.99 (95% CI 1.75 to 2.27); 2015/2016: 1.77 (95% CI 1.52 to 2.08).

Conclusion

Geographical and socioeconomic disparities should be taken into account during the further efforts to strengthen preventive measures and optimise healthcare resources for heart disease and stroke in Canada.
LECT-2 Amyloidosis: What do we Know?
Authors: Mann Baldeep Kaur , Bhandohal Janpreet Singh , Cobos Everardo , Chitturi Chandrika , Eppanapally Sabitha
Published: November 2021

Amyloidosis is a rare group of diseases characterized by abnormal folding of proteins and extracellular deposition of insoluble fibrils. It can be localized to one organ system or can have systemic involvement. The kidney is the most common organ to be involved in systemic amyloidosis often leading to renal failure and the nephrotic syndrome. The two most common types of renal amyloidosis are immunoglobulin light chain-derived amyloidosis (AL) and reactive amyloidosis (AA). A novel form of amyloidosis (ALECT2) derived from leukocyte chemotactic factor 2 (LECT-2) and primarily involving the kidneys was first described by Benson et al in 2008. The liver was subsequently identified as the second most common organ involved in ALECT2 amyloidosis. LECT-2 is a unique protein that can form amyloid deposits even in its unmutated form. Patients with ALECT2 present with minimal proteinuria in contrast to other forms of amyloidosis especially AL and AA. They may present with slightly elevated serum creatinine. Nephrotic syndrome and hematuria are rare. ALECT2 can be found in association with other types of amyloidosis as well as malignancies or autoimmune diseases. ALECT2 may be confused with amyloidosis associated with light and heavy chain monoclonal gammopathy if the immunofluorescence is positive with anti-light chain and anti-AA sera. The other organs involved are the duodenum, adrenal gland, spleen, prostate, gall bladder, pancreas, small bowel, parathyroid gland, heart, and pulmonary alveolar septa, but consistently uninvolved organs included brain and fibroadipose tissue. A renal biopsy along with characteristic features found on immunohistochemistry and mass spectrometry is diagnostic of ALECT2. ALECT2 should be suspected when all markers for AL and AA are negative. Proper diagnosis of ALECT2 can determine need for supportive care versus more aggressive interventions.
Analysis of the institutional landscape and proliferation of proposals for global vaccine equity for COVID-19: too many cooks or too many recipes?
Authors: Geiger Susi , McMahon Aisling
Published: November 2021

This article outlines and compares current and proposed global institutional mechanisms to increase equitable access to COVID-19 vaccines, focusing on their institutional and operational complementarities and overlaps. It specifically considers the World Health Organization's (WHO’s) COVAX (COVID-19 Vaccines Global Access) model as part of the Access to COVID-19 Tools Accelerator (ACT-A) initiative, the WHO’s COVID-19 Technology Access Pool (C-TAP) initiative, the proposed TRIPS (Trade-Related Aspects of Intellectual Property Agreement) intellectual property waiver and other proposed WHO and World Trade Organization technology transfer proposals. We argue that while various individual mechanisms each have their specific individual merits—and in some cases weaknesses—overall, many of these current and proposed mechanisms could be highly complementary if used together to deliver equitable global access to vaccines. Nonetheless, we also argue that there are risks posed by the proliferation of proposals in this context, including the potential to disperse stakeholder attention or to delay decisive action. Therefore, we argue that there is now a clear need for concerted global multilateral action to recognise the complementarities of specific models and to provide a pathway for collaboration in attaining global equitable access to vaccines. The institutional infrastructure or proposals to achieve this amply exist at this point in time—but much greater cooperation from industry and clear, decisive and coordinated action from states and international organisations are urgently needed.
Aircraft fuel thermal management system and flight thermal endurance
Authors: Manna Rafiq , Ravikumar Natarajan , Harrison Stephen , Goni Boulama Kiari
Published: November 2021

An aircraft thermal management model was created in which fuel is circulated through the heat dissipating components for cooling purposes. A fraction of this fuel is then fed to the engine for combustion, while the excess is cooled by rejecting heat to the ambient environment and returned to the tank. The thermal management system was designed to control the temperature of the heat dissipating surface, ensuring a certain heat removal rate while safeguarding the physical integrity of the fuel. The changes in fuel temperature and heat transfer rates with time were calculated. We observed that for a constant heat dissipating surface temperature, the temperature of the heated fuel increased, and the heat removal capacity degraded over time. Conversely, for a specified heat removal rate, the temperatures of both the heat-dissipating surface and heated fuel increased during the flight. Lastly, when the maximum fuel temperature was specified, both the temperature of the heat-dissipating surface and heat removal rate decreased over time. In all cases, the time taken for these variables to hit the user-defined threshold values was recorded. We present a detailed sensitivity analysis highlighting the importance of the fuel recirculation rate on the performance of an aircraft’s thermal management system.
Cooperation evolves by the payoff-difference-based probabilistic reward
Authors: Ohdaira Tetsushi
Published: November 2021

In the previous studies, the author proposes the payoff-difference-based probabilistic peer-punishment that the probability of punishing a defector increases as the difference of payoff between a player and a defector increases and shows that the proposed peer-punishment effectively increases the number of cooperators and the average payoff of all players. On the other hand, reward as well as punishment is considered to be a mechanism promoting cooperation, and many studies have discussed the effect of reward in the public goods game, a multiplayer version of the prisoner’s dilemma game. Based on the discussion of those existing studies, this study introduces the payoff-difference-based probabilistic reward that the probability of rewarding a cooperator increases as the difference of payoff between a player and a cooperator increases. The author utilizes the framework of the spatial prisoner’s dilemma game of the previous study and shows that the reward of this study realizes the evolution of cooperation except some cases.

Graphic abstract
Gravitational and electromagnetic radiation from binary black holes with electric and magnetic charges: elliptical orbits on a cone
Authors: Liu Lang , Christiansen Øyvind , Ruan Wen-Hong , Guo Zong-Kuan , Cai Rong-Gen , Kim Sang Pyo
Published: November 2021

Extending the electromagnetic and gravitational radiations from binary black holes with electric and magnetic charges in circular orbits in Liu et al. (Phys. Rev. D 102:103520, 2020), we calculate the total emission rates of energy and angular momentum due to gravitational and electromagnetic radiations from dyonic binary black holes in precessing elliptical orbits. It is shown that the emission rates of energy and angular momentum due to gravitational and electromagnetic radiations have the same dependence on the conic angle for different orbits. Moreover, we obtain the evolutions of orbits and find that a circular orbit remains circular while an elliptic orbit becomes quasi-circular due to electromagnetic and gravitational radiations. Using the evolution of orbits, we derive the waveform models for dyonic binary black hole inspirals and show the amplitudes of the gravitational waves for dyonic binary black hole inspirals differ from those for Schwarzschild binary black hole inspirals, which can be used to test electric and magnetic charges of black holes.
Study of theoretical luminosity precision for electron colliders at higher energies
Authors: Jadach S. , Płaczek W. , Skrzypek M. , Ward B. F. L.
Published: November 2021

We present an estimation of the theoretical precision of low angle Bhabha scattering at the proposed future ILC collider at 500 GeV. The analysis is an extension of the previous analysis done for the FCCee collider at $$\sqrt{s}=M_Z$$

s

=

M
Z

. As the state-of-the-art and the reference point we use the Monte Carlo event generator. Based on the current precision status of for LEP analysis, we estimate how various error components evolve from the LEP to ILC setups. The conclusion of our work is that for the ILC the precision of the current version of 4.04 deteriorates to 0.5%, by more than an order of magnitude w.r.t. the present precision for LEP. With the expected future improvements, the precision of can change to 0.016%, nearly as good as for the FCCee at the $$M_Z$$

M
Z

setup (0.01%). Based on the developed methodology we present also results for ILC$$_{1000}$$

1000

, FCCee$$_{350}$$

350

and CLIC$$_{3000}$$

3000

setups.
Correlation and combination of sets of parton distributions
Authors: Ball Richard D. , Forte Stefano , Stegeman Roy
Published: November 2021

We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the extent to which the correlation between them is due to the underlying data. We do this both for pairs of PDF sets determined using a given fixed methodology, and between sets determined using different methodologies. We show that correlations have a sizable component that is not due to the underlying data, because the data do not determine the PDFs uniquely. We show that the data-driven correlations can be used to assess the efficiency of methodologies used for PDF determination. We also show that the use of data-driven correlations for the combination of different PDFs into a joint set can lead to inconsistent results, and thus that the statistical combination used in constructing the widely used PDF4LHC15 PDF set remains the most reliable method.
The Clustered Selected-Internal Steiner Tree Problem
Authors: Chen Yen Hung
Published: November 2021

Given a complete graph [Formula: see text], with nonnegative edge costs, two subsets [Formula: see text] and [Formula: see text], a partition [Formula: see text] of [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] of [Formula: see text], [Formula: see text], a clustered Steiner tree is a tree [Formula: see text] of [Formula: see text] that spans all vertices in [Formula: see text] such that [Formula: see text] can be cut into [Formula: see text] subtrees [Formula: see text] by removing [Formula: see text] edges and each subtree [Formula: see text] spans all vertices in [Formula: see text], [Formula: see text]. The cost of a clustered Steiner tree is defined to be the sum of the costs of all its edges. A clustered selected-internal Steiner tree of [Formula: see text] is a clustered Steiner tree for [Formula: see text] if all vertices in [Formula: see text] are internal vertices of [Formula: see text]. The clustered selected-internal Steiner tree problem is concerned with the determination of a clustered selected-internal Steiner tree [Formula: see text] for [Formula: see text] and [Formula: see text] in [Formula: see text] with minimum cost. In this paper, we present the first known approximation algorithm with performance ratio [Formula: see text] for the clustered selected-internal Steiner tree problem, where [Formula: see text] is the best-known performance ratio for the Steiner tree problem.
Parallel unstructured finite volume lattice Boltzmann method for high-speed viscid compressible flows
Authors: Liu Zhixiang , Chen Rongliang , Xu Lei
Published: November 2021

Based on the double distribution function Boltzmann-BGK equations, a cell-centered finite volume lattice Boltzmann method on unstructured grids for high-speed viscid compressible flows is presented. In the equations, the particle distribution function is introduced on the basis of the D2Q17 circular function, and its corresponding total energy distribution function is adopted. In the proposed method, the advective term is evaluated by Roe’s flux-difference splitting scheme, and a limiter is used to prevent the generation of oscillations. The distribution functions on the interface are calculated by piecewise linear reconstruction, in which the gradient is computed by the least-squares approach. In order to do large-scale simulations, a parallel algorithm is illustrated. The present method is validated by a flow around the NACA0012 airfoil and a flow past a circular cylinder at high Mach numbers. The results agree well with the published results, which demonstrate that the present method is an efficient numerical method for high-speed viscid compressible flows. The parallel performance results show that the proposed parallel algorithm achieves 90% parallel efficiency on 4800 cores for a problem with [Formula: see text] unstructured triangle cells, which shows the potential to perform fast and high-fidelity simulations of large-scale high-speed viscid compressible flows in complicated computational domains.
Dynamical symmetry breaking through AI: The dimer self-trapping transition
Authors: Tsironis G. P. , Barmparis G. D. , Campbell D. K.
Published: November 2021

The nonlinear dimer obtained through the nonlinear Schrödinger equation has been a workhorse for the discovery the role nonlinearity plays in strongly interacting systems. While the analysis of the stationary states demonstrates the onset of a symmetry broken state for some degree of nonlinearity, the full dynamics maps the system into an effective [Formula: see text] model. In this later context, the self-trapping transition is an initial condition-dependent transfer of a classical particle over a barrier set by the nonlinear term. This transition that has been investigated analytically and mathematically is expressed through the hyperbolic limit of Jacobian elliptic functions. The aim of this work is to recapture this transition through the use of methods of Artificial Intelligence (AI). Specifically, we used a physics motivated machine learning model that is shown to be able to capture the original dynamic self-trapping transition and its dependence on initial conditions. Exploitation of this result in the case of the nondegenerate nonlinear dimer gives additional information on the more general dynamics and helps delineate linear from nonlinear localization. This work shows how AI methods may be embedded in physics and provide useful tools for discovery.
Model for the catalytic reduction of NO on a surface with species desorption and impurities that cannot desorb
Authors: Hernández E. J. , Buendía G. M.
Published: November 2021

The dynamical behavior of a modified Yaldram–Khan model for the catalytic reduction of NO on a surface is studied by Kinetic Monte Carlo simulations. In this modified model, temperature effects are incorporated as desorption rates of the N and CO species. How the presence of contaminants in the gas phase affects the catalytic process is also analyzed by including impurities that can be adsorbed on the lattice and once there remain inert. When N desorption is included, a reactive window appears that is not present in the original YK model on a square lattice. When CO desorption is added large fluctuations appear in the coverages, the system can take a long time to stabilize, during this period, a long lasting reactive state exists that disappears when the stability is reached. When nondesorbing impurities are added, the discontinuous transition to a CO poisoned phase that presents the original YK model disappears, the coverages become continuous, and a nonreactive steady-state is rapidly reached.
Molecular simulation of energy storage properties of R32, R134A and R1234YF in MOF-5 AND MOF-177
Authors: Liu Juan , Cai Ping , Xu Hongmei
Published: November 2021

The addition of porous nanomaterials is promising to enhance the thermal energy property of the organic working fluid. In this paper, molecular dynamics (MD) and grand canonical Monte Carlo simulations are employed to investigate the adsorption and energy storage properties of R32, R134a and R1234yf in MOF-5 and MOF-177. The results showed that the working fluid with small molecular size is easier to absorb and desorb in MOF structure. Besides, the MOF with larger specific surface area and pore size can absorb more organic working fluids, which can result in the larger enhancement of energy storage.
State finder and Om diagnostics in modified and generalised Chaplygin gas from recent data
Authors: Thakur P.
Published: November 2021

A modified and generalised Chaplygin gas (MCG, [Formula: see text] and GCG, [Formula: see text]) has been separately chosen here as a constituent of the universe. Concept of state finder and Om diagnostics are introduced to track the dark energy in the models. Here, observed Hubble data (OHD) and binned Pantheon data of supernovae are used to determine the best-fit equation-of-state (EoS) parameters of these models and these are compared with the [Formula: see text]CDM model. The best-fit value and expected values of cosmological jerk parameter [Formula: see text], snap parameter [Formula: see text] are determined, which are close to each other. A plot of [Formula: see text] with red-shift, with themselves, as well as with deceleration parameter [Formula: see text], shows the evolution of the universe and its possible future. Variations of [Formula: see text] and EoS parameter [Formula: see text] with red-shift show acceleration–deceleration phase transition in the recent past. Lastly, the state finder pair [Formula: see text] and Om diagnostic have been utilized to discriminate the models.
On Posner’s theorem with b-generalized skew derivations on Lie ideals
Authors: Carini Luisa , Scudo Giovanni
Published: November 2021

Let R be a non-commutative prime ring of characteristic different from 2 and 3, [Formula: see text] its right Martindale quotient ring and C its extended centroid. Suppose that L is a non-central Lie ideal of R, F a nonzero b-generalized skew derivation of R. If [Formula: see text] for all [Formula: see text], then one of the following holds : (a) there exists [Formula: see text] such that [Formula: see text], for all [Formula: see text]; (b) [Formula: see text], the ring of [Formula: see text] matrices over C, and there exist [Formula: see text] and [Formula: see text] such that [Formula: see text], for all [Formula: see text].
Translation Accuracy Evaluation of English Complex Long Sentences Based on Multi-Label Clustering Algorithms
Authors: Wu Fei
Published: November 2021

In the traditional sense, the translation evaluation of English complex long sentences is often limited to the idea of whether or how to realize the semantic transformation of the original text, so many phenomena that have nothing to do with language but directly affect the translation evaluation are not included in the field of vision and can be interpreted. In order to solve the above problems, a multi-label clustering algorithm is proposed to evaluate the translation accuracy of English complex long sentences. The multi-label clustering algorithm is introduced into the translation evaluation activities to carry out the translation and detection parameters of complex long sentences. The comprehensive description, the accuracy of generalization and the rationality of interpretation lay a solid foundation for English translation activities.
The classical limit of Schrödinger operators in the framework of Berezin quantization and spontaneous symmetry breaking as an emergent phenomenon
Authors: Moretti Valter , van de Ven Christiaan J. F.
Published: November 2021

The algebraic properties of a strict deformation quantization are analyzed on the classical phase space [Formula: see text]. The corresponding quantization maps enable us to take the limit for [Formula: see text] of a suitable sequence of algebraic vector states induced by [Formula: see text]-dependent eigenvectors of several quantum models, in which the sequence converges to a probability measure on [Formula: see text], defining a classical algebraic state. The observables are here represented in terms of a Berezin quantization map which associates classical observables (functions on the phase space) to quantum observables (elements of [Formula: see text] algebras) parametrized by [Formula: see text]. The existence of this classical limit is in particular proved for ground states of a wide class of Schrödinger operators, where the classical limiting state is obtained in terms of a Haar integral. The support of the classical state (a probability measure on the phase space) is included in certain orbits in [Formula: see text] depending on the symmetry of the potential. In addition, since this [Formula: see text]-algebraic approach allows for both quantum and classical theories, it is highly suitable to study the theoretical concept of spontaneous symmetry breaking (SSB) as an emergent phenomenon when passing from the quantum realm to the classical world by switching off [Formula: see text]. To this end, a detailed mathematical description is outlined and it is shown how this algebraic approach sheds new light on spontaneous symmetry breaking in several physical models.
Effect of sintering temperature on structural, magnetic, dielectric and optical properties of Ni–Mn–Zn ferrites
Authors: Khatun Nazia , Hossain Mohammad Sajjad , Begum Most. Hosney Ara , Islam Suravi , Tanvir Nazmul Islam , Bhuiyan Riyadh Hossen , Al-Mamun Md.
Published: November 2021

Spinel ferrite [Formula: see text][Formula: see text][Formula: see text]Fe2O4 was prepared by a conventional ceramic process followed by sintering at three different temperatures (1050[Formula: see text] C, 1100[Formula: see text] C and 1150[Formula: see text] C). X-ray diffraction (XRD) investigations stated the single-phase cubic spinel structure and the FTIR spectra revealed two prominent bands within the wavenumber region from 600 cm[Formula: see text] to 400 cm[Formula: see text]. Surface morphology showed highly crystalline grain development with sizes ranging from 0.27 [Formula: see text]m to 0.88 [Formula: see text]m. The magnetic hysteresis curve at ambient temperature revealed a significant effect of sintering temperature on both coercivity ([Formula: see text] and saturation magnetization ([Formula: see text]. Temperature caused a decrease in DC electrical resistivity, while the electron transport increased, suggesting the semiconducting nature of all samples and that they well followed the Arrhenius law from which their activation energies were determined. The values of Curie temperature ([Formula: see text] and activation energy were influenced by the sintering temperature. Frequency-dependent dielectric behavior (100 Hz–1 MHz) was also analyzed, which may be interpreted by the Maxwell–Wagner-type polarization. The UV–vis–NIR reflectance curve was analyzed to calculate the bandgap of ferrites, which showed a decreasing trend with increasing sintering temperature.
A New Understanding of the Origin of Wave-Particle Duality in Quantum Mechanics
Authors: Fan Wei
Published: November 2021

The wave-particle duality of quantum mechanics has always been an unsolved problem in physics. This article attempts to use one of the properties to explain the other, so as to eliminate the confusion of quantum mechanics probability waves. Specifically, this article finds that the discreteness of energy is the inherent property of all waves, so this article explains the particle nature of light from the perspective of light wave, thereby eliminating the confusion of light’s wave-particle duality; in addition, this article found that microscopic matter particles are only suitable for discussing the number of scattered particles or energy flow density, not their position and momentum, when they are forced to discuss their position and momentum, it will inevitably lead to confusion about probability waves, when only discussing the number of scattered particles or energy flow density, its volatility can be explained from the perspective of particle nature, thereby eliminating the confusion of microscopic matter particle probability waves. When the attribute of light as a wave is established, the light needs to overcome the Hamiltonian of the medium in different constraint systems (gravitational fields) during the propagation process, which will produce a universal redshift phenomenon, this can provide a new understanding of cosmic redshift; when the property of light as a wave is established, it means that the speed of light is a constant speed relative to the medium, which can provide a new understanding of the principle of constant speed of light.
How to Delegate Computations: The Power of No-Signaling Proofs
Authors: Kalai Yael Tauman , Raz Ran , Rothblum Ron D.
Published: November 2021

We construct a 1-round delegation scheme (i.e., argument-system) for every language computable in time
t
=
t
(
n
), where the running time of the prover is
poly
(
t
) and the running time of the verifier is n ·
polylog
(
t
). In particular, for every language in
P
we obtain a delegation scheme with almost linear time verification. Our construction relies on the existence of a computational sub-exponentially secure private information retrieval (
PIR
) scheme.

The proof exploits a curious connection between the problem of
computation delegation
and the model of
multi-prover interactive proofs that are sound against no-signaling (cheating) strategies
, a model that was studied in the context of multi-prover interactive proofs with provers that share quantum entanglement, and is motivated by the physical principle that information cannot travel faster than light.

For any language computable in time
t
=
t
(
n
), we construct a multi-prover interactive proof (
MIP
), that is, sound against no-signaling strategies, where the running time of the provers is
poly
(
t
), the number of provers is
polylog
(
t
), and the running time of the verifier is
n
·
polylog
(
t
).

In particular, this shows that the class of languages that have polynomial-time
MIP
s that are sound against no-signaling strategies, is exactly
EXP
. Previously, this class was only known to contain
PSPACE
.

To convert our
MIP
into a 1-round delegation scheme, we use the method suggested by Aiello et al. (ICALP, 2000), which makes use of a
PIR
scheme. This method lacked a proof of security. We prove that this method is secure assuming the underlying
MIP
is secure against no-signaling provers.
A Compact Representation of Measured BRDFs Using Neural Processes
Authors: Zheng Chuankun , Zheng Ruzhang , Wang Rui , Zhao Shuang , Bao Hujun
Published: November 2021

In this article, we introduce a compact representation for measured BRDFs by leveraging Neural Processes (NPs). Unlike prior methods that express those BRDFs as discrete high-dimensional matrices or tensors, our technique considers measured BRDFs as
continuous functions
and works in corresponding
function spaces
. Specifically, provided the evaluations of a set of BRDFs, such as ones in MERL and EPFL datasets, our method learns a low-dimensional latent space as well as a few neural networks to encode and decode these measured BRDFs or new BRDFs into and from this space in a non-linear fashion. Leveraging this latent space and the flexibility offered by the NPs formulation, our encoded BRDFs are highly compact and offer a level of accuracy better than prior methods. We demonstrate the practical usefulness of our approach via two important applications, BRDF compression and editing. Additionally, we design two alternative post-trained decoders to, respectively, achieve better compression ratio for individual BRDFs and enable importance sampling of BRDFs.
Cloud Data Integrity Verification Algorithm for Sustainable Accounting Informatization
Authors: Yang Lin
Published: November 2021

In recent years, people have paid more and more attention to cloud data. However, because users do not have absolute control over the data stored on the cloud server, it is necessary for the cloud storage server to provide evidence that the data are completely saved to maintain their control over the data. Give users all management rights, users can independently install operating systems and applications and can choose self-service platforms and various remote management tools to manage and control the host according to personal habits. This paper mainly introduces the cloud data integrity verification algorithm of sustainable computing accounting informatization and studies the advantages and disadvantages of the existing data integrity proof mechanism and the new requirements under the cloud storage environment. In this paper, an LBT-based big data integrity proof mechanism is proposed, which introduces a multibranch path tree as the data structure used in the data integrity proof mechanism and proposes a multibranch path structure with rank and data integrity detection algorithm. In this paper, the proposed data integrity verification algorithm and two other integrity verification algorithms are used for simulation experiments. The experimental results show that the proposed scheme is about 10% better than scheme 1 and about 5% better than scheme 2 in computing time of 500 data blocks; in the change of operation data block time, the execution time of scheme 1 and scheme 2 increases with the increase of data blocks. The execution time of the proposed scheme remains unchanged, and the computational cost of the proposed scheme is also better than that of scheme 1 and scheme 2. The scheme in this paper not only can verify the integrity of cloud storage data but also has certain verification advantages, which has a certain significance in the application of big data integrity verification.
A Novel Necessary and Sufficient Condition for the Positivity of a Binary Quartic Form
Authors: Guo Yang
Published: November 2021

In this paper, by considering the common points of two conics instead of the roots of the binary quartic form, we propose a novel necessary and sufficient condition for the positivity of a binary quartic form using the theory of the pencil of conics. First, we show the degenerate members of the pencil of conics according to the distinct natures of the common points of two base conics. Then, the inequalities about the parameters of the degenerate members are obtained according to the properties of the degenerate conics. Last, from the inequalities, we derive a novel criterion for determining the positivity of a binary quartic form without the discriminant.
A Novel Family of Exact Nonlinear Cascade Control Design Solutions for a Class of UAV Systems
Authors: Maya-Gress Kristian , Álvarez Jorge , Villafuerte-Segura Raúl , Romero-Trejo Hugo , Bernal Miguel
Published: November 2021

In this work, a novel family of exact nonlinear control laws is developed for trajectory tracking of unmanned aerial vehicles. The proposed methodology exploits the cascade structure of the dynamic equations of most of these systems. In a first step, the vehicle position in Cartesian coordinates is controlled by means of fictitious inputs corresponding to the angular coordinates, which are fixed to a combination of computed torque and proportional-derivative elements. In a second step, the angular coordinates are controlled as to drive them to the desired fictitious inputs necessary for the first part, resulting in a double-integrator 3-input cascade control scheme. The proposal is put at test in two examples: 4-rotor and 8-rotor aircrafts. Numerical simulations of both plants illustrate the effectiveness of the proposed method, while real-time results of the first one confirm its applicability.
Outcomes of Image-Guided Moderately Hypofractionated Radiotherapy for Stage III Non-Small-Cell Lung Cancer
Authors: Zhang Yang , Li Zongjuan , Chen Yixing , Xiao Han , Zhou Yongkang , Du Shisuo , Zeng Zhaochong
Published: November 2021

Objective. To evaluate the efficacy and toxicity of hypofractionated radiotherapy (hypo-RT) for stage III non-small-cell lung cancer (NSCLC) in the Chinese population. Methods. Eighty-six stage III NSCLC patients who received hypo-RT (60 Gy/20 fractions, BED = 78.00 Gy: 73 patients; 62.5 Gy/25 fractions, BED = 78.13 Gy: 13 patients) were recruited. Fifty-seven patients who received conventional radiotherapy (60 Gy/30 fractions, BED = 72.00 Gy) during the same period were enrolled as the control group. All hypo-RT treatments were conducted using image-guided technology. The efficacy and toxicity of the treatment were compared between the two groups. Results. The median duration of follow-up was 23.0 months (range: 4.0–82.0 months). Univariate and multivariate analyses of all 143 stage III NSCLC patients revealed that hypo-RT was an independent factor for progression-free survival (PFS) and overall survival (OS). The median PFS and OS of hypo-RT were significantly higher than in the conventional RT group (PFS: 14.30, 11.00 months,

p
=
0.035

; OS: 43.30, 31.50 months,

p
=
0.045

). The incidence rates of symptomatic radiation pneumonitis and radiation esophagitis (≥grade 2) were 17.77% and 27.91%, respectively, in the hypo-RT group. Compared to the conventional radiation therapy group (22.81% and 19.30%, respectively), no significant differences were found between the two common side effects (

p
=
0.662

and

p
=
0.241

, respectively). Conclusion. For Chinese stage III NSCLC patients, image-guided hypo-RT offers favorable prognosis, and the treatment toxicity was totally acceptable. This radiation modality deserves further prospective clinical trials.
Identification of KLF6/PSGs and NPY-Related USF2/CEACAM Transcriptional Regulatory Networks via Spinal Cord Bulk and Single-Cell RNA-Seq Analysis
Authors: Liu Xinbing , Gao Wei , Liu Wei
Published: November 2021

Background. To further understand the development of the spinal cord, an exploration of the patterns and transcriptional features of spinal cord development in newborn mice at the cellular transcriptome level was carried out. Methods. The mouse single-cell sequencing (scRNA-seq) dataset was downloaded from the GSE108788 dataset. Single-cell RNA-Seq (scRNA-Seq) was conducted on cervical and lumbar spinal V2a interneurons from 2 P0 neonates. Single-cell analysis using the Seurat package was completed, and marker mRNAs were identified for each cluster. Then, pseudotemporal analysis was used to analyze the transcription changes of marker mRNAs in different clusters over time. Finally, the functions of these marker mRNAs were assessed by enrichment analysis and protein-protein interaction (PPI) networks. A transcriptional regulatory network was then constructed using the TRRUST dataset. Results. A total of 949 cells were screened. Single-cell analysis was conducted based on marker mRNAs of each cluster, which revealed the heterogeneity of neonatal mouse spinal cord neuronal cells. Functional analysis of pseudotemporal trajectory-related marker mRNAs suggested that pregnancy-specific glycoproteins (PSGs) and carcinoembryonic antigen cell adhesion molecules (CEACAMs) were the core mRNAs in cluster 3. GSVA analysis then demonstrated that the different clusters had differences in pathway activity. By constructing a transcriptional regulatory network, USF2 was identified to be a transcriptional regulator of CEACAM1 and CEACAM5, while KLF6 was identified to be a transcriptional regulator of PSG3 and PSG5. This conclusion was then validated using the Genotype-Tissue Expression (GTEx) spinal cord transcriptome dataset. Conclusions. This study completed an integrated analysis of a single-cell dataset with the utilization of marker mRNAs. USF2/CEACAM1&5 and KLF6/PSG3&5 transcriptional regulatory networks were identified by spinal cord single-cell analysis.