bluuebunny/crossref_metadata_2025 huggingface dataset:
Thermal equation of state for zoisite: Implications for the transportation of water into the upper mantle and the high-velocity anomaly in the Farallon plate
Authors: Huang Shijie , Ye Zhilin , Fan Dawei , Xu Jingui , Zhang Dongzhou , Chen Wei , Kuang Yunqian , Zhou Wenge
Published: August 2022

Seismic tomography studies have revealed a high-velocity anomaly at depths between 100 km and 300 km in the Farallon plate. However, the reasons for the high-velocity anomaly continue to be debated. An analysis of the mineral proportions of eclogites exhumed from the Farallon plate shows that the average amount of zoisite in eclogite is ∼16.0 vol%. Therefore, the presence of zoisite eclogite needs to be considered to explain the high-velocity anomaly of the Farallon plate. However, the thermal equation of state and stability of zoisite have not been fully investigated under high pressure−temperature (P-T) conditions. We investigated the high-pressure and high-temperature behavior of natural zoisite utilizing synchrotron single crystal-X-ray diffraction (XRD). The results indicate that zoisite is metastable up to 24.8 GPa and 700 K. We obtained the ambient unit-cell volume V0 = 901.26(3) Å3 by synchrotron single crystal-XRD measurement. We also fitted the pressure-volume-temperature data to a high-temperature Birch-Murnaghan equation of state and obtained the zero-pressure bulk modulus K0 = 134.7(8) GPa, the temperature derivative of the bulk modulus (∂K/∂T)P = −0.011(4) GPa/K, and the thermal expansion coefficients α0V = 1.9(7) × 10−5 K−1 and α1V = 3(2) × 10−8 K−2 when the pressure derivative of bulk modulus (K′0) is fixed at 4. By incorporating the results from previous studies, we calculated the density and bulk sound velocity profiles of zoisite eclogite along the Farallon plate geotherm. Finally, we infer that zoisite could carry water to depths of ∼300 km within cold subducting slabs and that the bulk sound velocity of typical zoisite eclogite with ∼61.0 vol% omphacite, ∼23.0 vol% garnet, and ∼16.0 vol% zoisite could cause the high-velocity anomalies at depths of 100−300 km in the Farallon plate.
Intensified and apace bauxitization over the paleo-karstic surface linked to volcanism
Authors: Liu Xuefei , Wang Qingfei , Peng Yongbo , Yin Runsheng , Ma Yao , Zhao Lihua , Zhang Shangqing
Published: August 2022

Recent studies indicate that volcanism may be a potentially important factor in the formation of karstic bauxite, but more evidence is needed. Six billion tons of bauxite formed upon paleo-karstic terrain within a short time in the Late Carboniferous in the North China Basin (NCB) and in the Late Permian in the Youjiang Basin (YB) of China. The factors that trigger their apace formation remain unclear. Herein, we proposed that extensive volcanic eruptions have accounted for this large-scale bauxite formation based on the mineralogy, Hg isotopes, and Hg concentration enrichment proxies of the samples of bauxitic sequence in the NCB and YB. NCB bauxite generally has three layers, namely bottom Fe-bearing claystone, intermediate bauxite ore, and top claystone, while bottom Fe-bearing claystone is usually absent in YB bauxite, which directly covers carbonate rocks. The mineral assemblages of NCB and YB bauxite confirm that they were deposited in a superficial alkaline and reducing karstic environment. Strong Hg enrichment peaks with corresponding near-zero ∆199Hg, a signal of excess volcanogenic Hg, were discovered in the upper claystone of NCB bauxitic sequences, which overlaid the Ordovician carbonate substrate. It denotes volcanism occurred immediately subsequent to deposition of terrestrial weathered Al-rich remnants in paleo-karstic depressions during the Late Carboniferous. This volcanism, occurring in the northern margin of the NCB, is considered to have triggered the apace bauxitization in the NCB after its long exposure and weathering. In the YB, the remarkable Hg enrichment and near-zero ∆199Hg were observed in the entire Late Permian bauxitic sequences with Late Permian carbonate as the substrate. It denotes enhanced volcanogenic Hg inputs throughout the whole deposition process of bauxite during the Late Permian. This episode of volcanism associated with the Emeishan large igneous province and contemporaneous arc system resulted in the short term weathering of source materials and the apace bauxitization in YB. Volcanism is suggested to aggravate surface acidic and oxidizing conditions, in which rapid decomposition of source materials occurred to release Al3+ to precipitate diaspore above the physiochemical barrier of underlying carbonate.
V-Containing Heteropoly Acids with Keggin Structure as Precursors of Sulfide Catalysts: Regularities of the Convertion of Dibenzothiophene and Naphthalene on Nonpromoted Mo–V Catalysts
Authors: Timoshkina V. V. , Yudintsev S. V. , Frenkel’ E. D. , Pimerzin A. A.
Published: August 2022

Mixed PMoV heteropoly acids with Keggin structures H3+xPMo12–xVxO40 (x = 1–6) and modified sulfide catalysts on their basis were synthesized, their physicochemical characteristics were determined, and their performance in the reactions of hydrodesulfurization (HDS) of dibenzothiophene (DBT) and hydrogenation of naphthalene was evaluated. Modification of the Mo-containing catalysts with vanadium by impregnation with a solution of mixed heteropoly acids was found to enhance their catalytic activity in the studied reactions, as well as to increase the selectivity for the direct hydrodesulfurization route of the DBT HDS reaction.
Erratum to: Noncorrosive Metal Complex Catalysts for Oxidation of Hydrogen Sulfide and Mercaptans in Petroleum Products
Authors: Pletneva I. V. , Gavrilov Yu. A. , Moiseeva N. I. , Gekhman A. E.
Published: August 2022

Erratum
Quantum effects in an expanded Black–Scholes model
Authors: Bhatnagar Anantya , Vvedensky Dimitri D.
Published: August 2022

The limitations of the classical Black–Scholes model are examined by comparing calculated and actual historical prices of European call options on stocks from several sectors of the S &P 500. Persistent differences between the two prices point to an expanded model proposed by Segal and Segal (PNAS 95:4072–4075, 1988) in which information not simultaneously observable or actionable with public information can be represented by an additional pseudo-Wiener process. A real linear combination of the original and added processes leads to a commutation relation analogous to that between a boson field and its canonical momentum in quantum field theory. The resulting pricing formula for a European call option replaces the classical volatility with the norm of a complex quantity, whose imaginary part is shown to compensate for the disparity between prices obtained from the classical Black–Scholes model and actual prices of the test call options. This provides market evidence for the influence of a non-classical process on the price of a security based on non-commuting operators.

Graphic Abstract
Dualized gravity beyond linear approximation
Authors: Wani Salman Sajad , Tsun Tsou Sheung , Faizal Mir
Published: August 2022

We will construct a loop space formalism for general relativity, and construct the Polyakov variables as connections for such a loop space. We will use these Polyakov variables to construct a dual theory of gravity beyond linear approximation. It will be demonstrated that this loop space duality reduces to the Hodge duality for linearized gravity. Furthermore, a loop space curvature will be constructed from this Polyakov variable. It will be shown that this loop space curvature vanishes in the absence of topological defects, and so it can be used to investigate gravitational monopoles. We will also construct the suitable monopole charge for such gravitational monopoles.
Towards the renormalisation of the Standard Model effective field theory to dimension eight: bosonic interactions II
Authors: Das Bakshi S. , Chala M. , Díaz-Carmona A. , Guedes G.
Published: August 2022

We calculate the renormalisation group running of the bosonic Standard Model (SM) effective operators at one loop and to order $$v^4/\Lambda ^4$$

v
4

/

Λ
4

, with $$v\sim 246$$

v
∼
246

GeV being the electroweak scale and $$\Lambda$$
Λ
the unknown new physics threshold. We focus on contributions driven by one dimension-eight term and SM couplings, thus extending (and completing) the effort initiated in Chala et al. (SciPost Phys 11:065, 2021). arXiv:2106.05291, in which quantum corrections from pairs of dimension-six interactions were considered. We highlight some interesting consequences, including the renormalisation of loop-induced interactions by tree-level generated terms and, more importantly, the validity of positivity bounds on different operators inducing anomalous gauge quartic couplings.
Varying coupling constants and their interdependence
Authors: Gupta Rajendra P.
Published: August 2022

Since Dirac predicted in 1937 the possible variation of gravitational constant and other coupling constants from his large number hypothesis, efforts continue to determine such variation without success. Such efforts focus on the variation of one constant while assuming all others pegged to their currently measured values. We show that the variations of the speed of light [Formula: see text], the gravitational constant [Formula: see text], the Planck constant [Formula: see text], and the Boltzmann constant [Formula: see text] are interrelated: [Formula: see text]. Thus, constraining any one of the constants leads to inadvertently constraining all the others. It may not be possible to determine the variation of a constant without concurrently considering the variation of others. We discuss several astrophysical observations that have been explained recently with the concomitant variation of two or more constants. We also analyze the reported and unexplained 35 [Formula: see text]g decrease of 1 Kg Pt-Ir working standards over 22 years of measurements and show that they can be accounted for by allowing [Formula: see text], [Formula: see text], and [Formula: see text] to vary as predicted, provided such mass decrease can be confirmed with a Kibble balance used for determining the Planck constant and weighing test-masses with extreme precision.
A Refinement-based Formal Development of Cyber-physical Railway Signalling Systems
Authors: Aït-Ameur Yamine , Bogomolov Sergiy , Dupont Guillaume , Iliasov Alexei , Romanovsky Alexander , Stankaitis Paulius
Published: August 2022

For years, formal methods have been successfully applied in the railway domain to formally demonstrate safety of railway systems. Despite that, little has been done in the field of formal methods to address the cyber-physical nature of modern railway signalling systems. In this article, we present an approach for a formal development of cyber-physical railway signalling systems that is based on a refinement-based modelling and proof-based verification. Our approach utilises the Event-B formal specification language together with a hybrid system and communication modelling patterns to developing a generic hybrid railway signalling system model that can be further refined to capture a specific railway signalling system. The main technical contribution of this article is the refinement of the hybrid train Event-B model with other railway signalling sub-systems. The complete model of the cyber-physical railway signalling system was formally proved to ensure a safe rolling stock separation and prevent their derailment. Furthermore, the article demonstrates the advantage of the refinement-based development approach of cyber-physical systems, which enables a problem decomposition and in turn reduction in the verification and modelling effort.
Effects of Racism on Child Development: Advancing Antiracist Developmental Science
Authors: Iruka Iheoma U. , Gardner-Neblett Nicole , Telfer Nicole A. , Ibekwe-Okafor Nneka , Curenton Stephanie M. , Sims Jacqueline , Sansbury Amber B. , Neblett Enrique W.
Published: August 2022

Racism, a multidimensional system of oppression and exclusion, is part of the foundation of the United States and is detrimental to the health and well-being of Black communities and other racially and ethnically minoritized (REM) communities. There is an emerging body of literature that draws attention to the impact of racism and different racialized experiences on the lives of REM children. Based on the Racism + Resilience + Resistance Integrative Study of Childhood Ecosystem (R3ISE) and focused on attending to the interaction between racism and the cultural assets of REM families and communities, this review highlights how racism impacts REM children's healthy development and learning. In addition to calling for research that advances racial equity using the R3ISEintegrative model, we also identify policies that have some potential to ensure equity in economic stability and security, home and community environment, birth outcomes, and educational opportunities for REM children and their families.
The Macroevolutionary History of Bony Fishes: A Paleontological View
Authors: Friedman Matt
Published: August 2022

Bony fishes are the principal group of backboned animals in contemporary aquatic settings. Extant species are the focus of a vigorous program of macroevolutionary research, but paleontology offers important perspectives. Multiple fossil records bear on the evolution of bony fishes, each with its own strengths and weaknesses. Understanding of the interrelationships among living bony fishes has improved substantially in recent years, but confidence in the phylogenetic placement of fossils is highly variable. This reflects limitations in current understanding of both fossil anatomy and hard-tissue characters for extant clades. Patterns of taxonomic and morphological diversity over bony fish history remain incompletely known, with most studies restricted to particular clades or specific intervals of time. The wealth of anatomical data recorded by the fossil record could make an important addition to a growing body of work examining phenotypic evolution across living species, but incorporating this information requires the placement of fossils within phylogenetic trees.
The Future of Tourism in the Anthropocene
Authors: Holden A. , Jamal T. , Burini F.
Published: August 2022

This article undertakes a comprehensive review of tourism's impacts on social-ecological systems and the use of the local to global commons. It examines a wide range of issues from climate change and air travel to biodiversity loss, pollution, and overtourism. It reinforces that tourism in modernity has pursued a dominant growth-driven paradigm of development and market expansion that is unsustainable. The review raises critical questions about how to move forward in the Anthropocene, where climate change is an existential threat to which travel and tourism must adjust. We offer directions for knowledge creation to develop nature-positive tourism that decouples from greenhouse gas emissions and seeks the regeneration of natural capital and communal health and well-being. This direction includes rethinking the purposes and values of tourism by addressing equity and ethical issues. It also calls for inclusivity of diverse worldviews and knowledge systems, including traditional and Indigenous knowledge. Such a pluralistic paradigm replaces the unsustainable modernist tourism paradigm that has dominated its evolution. We conclude with suggestions for research to advance nature-positive tourism.
Genome Protection by DNA Polymerase θ
Authors: Wood Richard D. , Doublié Sylvie
Published: August 2022

DNA polymerase θ (Pol θ) is a DNA repair enzyme widely conserved in animals and plants. Pol θ uses short DNA sequence homologies to initiate repair of double-strand breaks by theta-mediated end joining. The DNA polymerase domain of Pol θ is at the C terminus and is connected to an N-terminal DNA helicase–like domain by a central linker. Pol θ is crucial for maintenance of damaged genomes during development, protects DNA against extensive deletions, and limits loss of heterozygosity. The cost of using Pol θ for genome protection is that a few nucleotides are usually deleted or added at the repair site. Inactivation of Pol θ often enhances the sensitivity of cells to DNA strand–breaking chemicals and radiation. Since some homologous recombination–defective cancers depend on Pol θ for growth, inhibitors of Pol θ may be useful in treating such tumors.
Rhythms and Clocks in Marine Organisms
Authors: Häfker N. Sören , Andreatta Gabriele , Manzotti Alessandro , Falciatore Angela , Raible Florian , Tessmar-Raible Kristin
Published: August 2022

The regular movements of waves and tides are obvious representations of the oceans’ rhythmicity. But the rhythms of marine life span across ecological niches and timescales, including short (in the range of hours) and long (in the range of days and months) periods. These rhythms regulate the physiology and behavior of individuals, as well as their interactions with each other and with the environment. This review highlights examples of rhythmicity in marine animals and algae that represent important groups of marine life across different habitats. The examples cover ecologically highly relevant species and a growing number of laboratory model systems that are used to disentangle key mechanistic principles. The review introduces fundamental concepts of chronobiology, such as the distinction between rhythmic and endogenous oscillator–driven processes. It also addresses the relevance of studying diverse rhythms and oscillators, as well as their interconnection, for making better predictions of how species will respond to environmental perturbations, including climate change. As the review aims to address scientists from the diverse fields of marine biology, ecology, and molecular chronobiology, all of which have their own scientific terms, we provide definitions of key terms throughout the article.
From Stamps to Parabolas
Authors: Philander S. George
Published: August 2022

I am a child of Sputnik, the satellite launched by the Soviet Union in 1957. That event created opportunities for me to escape the horrors of apartheid by emigrating from South Africa to the United States. There, fortuitously, I was given excellent opportunities to explore how an interplay between the waves and currents influences climate variability, from interannual El Niño events to millennial ice ages. During my career, I also witnessed intriguing facets of the interactions between the profoundly different worlds of science and of human affairs. Up to 1957, El Niño was welcomed as a blessing, but by 1982 it had become a curse—not because it changed, but because our human activities are making us vulnerable to natural climate variability. We have learned to cope admirably with the occasional failures of the Indian monsoons; the resultant famines are not as calamitous as they once were. What guidance does that limited success provide for a response to global warming, a climate change we humans are inducing? This article briefly summarizes how my career as a geoscientist brought me to the conclusion that a strategy to promote responsible stewardship of planet Earth should be based on love rather than fear. We can only love what we know, so warnings of imminent gloom and doom should be complemented with efforts to make everyone aware of the wonders of our amazing planet—the only one in the universe known to be habitable.
Air Pollution–Related Neurotoxicity Across the Life Span
Authors: Cory-Slechta Deborah A. , Merrill Alyssa , Sobolewski Marissa
Published: August 2022

Air pollution is a complex mixture of gases and particulate matter, with adsorbed organic and inorganic contaminants, to which exposure is lifelong. Epidemiological studies increasingly associate air pollution with multiple neurodevelopmental disorders and neurodegenerative diseases, findings supported by experimental animal models. This breadth of neurotoxicity across these central nervous system diseases and disorders likely reflects shared vulnerability of their inflammatory and oxidative stress–based mechanisms and a corresponding ability to produce brain metal dyshomeo-stasis. Future research to define the responsible contaminants of air pollution underlying this neurotoxicity is critical to understanding mechanisms of these diseases and disorders and protecting public health.
Silencing of Angiopoietin-Like Protein 4 (Angptl4) Decreases Inflammation, Extracellular Matrix Degradation, and Apoptosis in Osteoarthritis via the Sirtuin 1/NF-κB Pathway
Authors: Jia Chao , Li Xiucui , Pan Jun , Ma Haiwei , Wu Dengying , Lu Hongwei , Wang Wei , Zhang Xutong , Yi Xianhong
Published: August 2022

Osteoarthritis (OA) is a frequently observed condition in aged people. OA cartilage is characterized by chondrocyte apoptosis, chondrocyte inflammation, and hyperactive catabolism of extracellular matrix. However, the specific molecular mechanisms remain unclear. Recent data has shown that Angptl4, a multifunctional cytokine, is involved in the regulation of inflammatory and apoptosis responses in different tissues. This study is aimed at defining the role of Angptl4 in the development of OA. We employed X-ray analysis, safranin O-fast green (S-O) staining, and hematoxylin staining to evaluate histomorphological characteristics in the knee joint of mice. Real-time quantitative polymerase chain reaction, Western blot assays, immunofluorescence staining, and enzyme-linked immunosorbent assays (ELISA) were performed to analyze the changes in gene and protein expression. Mechanically, our data demonstrated that Angptl4 knockdown improved the degradation of extracellular matrix and reduced TNF-α-mediated chondrocyte inflammation and apoptosis by suppressing sirtuin 1/NF-κB signaling pathway. In addition, animal studies showed that the suppression of Angptl4 expression might alleviate OA development. In conclusion, our findings revealed the underlying mechanisms of Angptl4 regulation in chondrocytes and its potential value in the treatment of OA.
ANTXR1 Regulates Erythroid Cell Proliferation and Differentiation through wnt/β-Catenin Signaling Pathway In Vitro and in Hematopoietic Stem Cell
Authors: Jin Tingting , Zhang Zhaojun , Han Yuanyuan , Li Di , Liu Juan , Jiang Minmin , Kurita Ryo , Nakamura Yukio , Hu Fangfang , Fang Xiangdong , Huang Shengwen , Sun Zhaolin
Published: August 2022

Erythropoiesis is a highly complex and sophisticated multistage process regulated by many transcription factors, as well as noncoding RNAs. Anthrax toxin receptor 1 (ANTXR1) is a type I transmembrane protein that binds the anthrax toxin ligands and mediates the entry of its toxic part into cells. It also functions as a receptor for the Protective antigen (PA) of anthrax toxin, and mediates the entry of Edema factor (EF) and Lethal factor (LF) into the cytoplasm of target cells and exerts their toxicity. Previous research has shown that ANTXR1 inhibits the expression of γ-globin during the differentiation of erythroid cells. However, the effect on erythropoiesis from a cellular perspective has not been fully determined. This study examined the role of ANTXR1 on erythropoiesis using K562 and HUDEP-2 cell lines as well as cord blood CD34+ cells. Our study has shown that overexpression of ANTXR1 can positively regulate erythrocyte proliferation, as well as inhibit GATA1 and ALAS2 expression, differentiation, and apoptosis in K562 cells and hematopoietic stem cells. ANTXR1 knockdown inhibited proliferation, promoted GATA1 and ALAS2 expression, accelerated erythrocyte differentiation and apoptosis, and promoted erythrocyte maturation. Our study also showed that ANTXR1 may regulate the proliferation and differentiation of hematopoietic cells, though the Wnt/β-catenin pathway, which may help to establish a possible therapeutic target for the treatment of blood disorders.
TRPV1 Modulator Ameliorates Alzheimer-Like Amyloid-β Neuropathology via Akt/Gsk3β-Mediated Nrf2 Activation in the Neuro-2a/APP Cell Model
Authors: Wang Xiufen , Bian Yaqi , Wong Clarence Tsun Ting , Lu Jia-Hong , Lee Simon Ming-Yuen
Published: August 2022

Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disorder for which there is no effective therapeutic strategy. PcActx peptide from the transcriptome of zoantharian Palythoa caribaeorum has recently been identified and verified as a novel antagonist of transient receptor potential cation channel subfamily V member 1 (TRPV1). In the present study, we further investigated the neuroprotective potential of PcActx peptide and its underlying mechanism of action, in an N2a/APP cell model of AD. Both Western blot and RT-PCR analysis revealed that PcActx peptide markedly inhibited the production of amyloid-related proteins and the expression of BACE1, PSEN1, and PSEN2. Moreover, PcActx peptide notably attenuated the capsaicin-stimulated calcium response and prevented the phosphorylation of CaMKII and CaMKIV (calcium-mediated proteins) in N2a/APP cells. Further investigation indicated that PcActx peptide significantly suppressed ROS generation through Nrf2 activation, followed by enhanced NQO1 and HO-1 levels. In addition, PcActx peptide remarkably improved Akt phosphorylation at Ser 473 (active) and Gsk3β phosphorylation at Ser 9 (inactive), while pharmacological inhibition of the Akt/Gsk3β pathway significantly attenuated PcActx-induced Nrf2 activation and amyloid downregulation. In conclusion, PcActx peptide functions as a TRPV1 modulator of intercellular calcium homeostasis, prevents AD-like amyloid neuropathology via Akt/Gsk3β-mediated Nrf2 activation, and shows promise as an alternative therapeutic agent for AD.
English Language Intelligent Translation System Based on 3D Visualization Technology
Authors: Song Bo
Published: August 2022

In the process of imparting knowledge, faculty should give more emphasis to the acquisition of students’ direct experience. Vivid three-dimensional visualization resources should be used for classroom teaching to help students better understand and grasp the visualization of knowledge. Based on this, this paper aims to study the English language intelligent translation system based on 3D visualization technology. In recent years, 3D application technology is transforming into multiuser applications supporting network environments. This transformation also promotes the application and development of 3D GIS technology. Transformer is a universal and efficient feature extractor. This paper proposes a design scheme for constructing 3D interactive visualization resources in teaching scenes. It is designed for specific disciplines and produces visual resources. Then, it analyzes and evaluates the actual effect of the application in teaching, to provide ideas for English translation education experts and teaching staff. It also builds a translation system based on B/S architecture, connects the server model and the client, and realizes the visualization and interaction of translation functions. In the experiments, 5% and 20% of the parallel corpus with a total of 12 M sentence pairs were used for pretraining of the translation model. Then, the number of monolingual corpus is gradually increased to train the model. Experiments show that when using the same amount of monolingual corpus, the translation model can achieve a more obvious effect on the pretrained model.
New Energy Utilization Rate and Coal Energy Economic Development Based on the Fuzzy Network Algorithm
Authors: Wang Cong , Xu Yufei
Published: August 2022

Energy is an important foundation for the normal development and operation of society. With the rapid development of human society, energy consumption is increasing, energy supply is becoming more and more tenser, and energy consumption is excessively dependent on traditional fossil energy, which will cause serious pollution to the environment. In this regard, this article combines the actual needs of wireless sensor network nodes with limited energy consumption and conducts extensive research on the utilization rate of new energy in a city. By viewing related literature, relevant information on the Internet are collected and collated and then comprehensively analyzed. The main research purpose of this paper is to explore the law of new energy utilization rate in a certain city, determine the methods and paths that can realize the large-scale utilization of new energy, and provide reference materials for urban construction managers. Next, based on the study of coal energy, this article learns that the coal energy output of a certain province accounts for more than 99% of the total energy output. During the period of industrial restructuring, long-term industrial development was carried out under the traditional large-scale model. The development model of high energy consumption and high pollution had a serious impact on the ecological environment, leading to economic development at the expense of the environment in exchange for economic growth. The model is no longer applicable to the existing economic system. This article uses wireless sensing-based research on the utilization of new energy and applies it to the study of coal energy economic development, aiming to promote its better development.
Kannan Nonexpansive Operators on Variable Exponent Cesàro Sequence Space of Fuzzy Functions
Authors: Bakery Awad A. , Mohammed Mustafa M.
Published: August 2022

In general, we have constructed the operator ideal generated by extended

s

-fuzzy numbers and a certain space of sequences of fuzzy numbers. An investigation into the conditions sufficient for variable exponent Cesàro sequence space of fuzzy functions furnished with the definite function to create pre-quasi-Banach and closed is carried out. The

R

and the normal structural properties of this space are shown. Fixed points for Kannan contraction and nonexpansive mapping have been introduced. Lastly, we explore whether the Kannan contraction mapping has a fixed point in its associated pre-quasioperator ideal. The existence of solutions to nonlinear difference equations is illustrated with a few real-world examples and applications.
A Novel Adaptive Affective Cognition Analysis Model for College Students Using a Deep Convolution Neural Network and Deep Features
Authors: Feng Huali
Published: August 2022

Currently, under the impact of the COVID-19, college students are facing increasingly elevated employment pressure and higher education pressure. This can easily cause a huge psychological burden on them, causing affective cognition problems such as anxiety and depression. In the long run, this is not conducive to students’ physical and mental health, nor is it conducive to the healthy development of the school and even the whole society. Therefore, it is imperative to build a novel adaptive affective cognition analysis model for college students. In particular, in the context of smart cities and smart China, many universities have opened the smart campus mode, which provides a huge data resource for our research. Due to problems of the low real-time evaluation and single data source in traditional questionnaire evaluation methods, evaluation errors are prone to occur, which in turn interferes with subsequent treatment. Therefore, for the purpose of alleviating the above deficiencies and improving the efficiency and accuracy of the affective cognition analysis model of college students, this paper studies the adaptive affective cognition analysis method of college students on basis of deep learning. First, because students’ psychological problems are often not sudden, on the contrary, most of these abnormalities will leave traces in their daily activities. Therefore, this paper constructs a multisource dataset with the access control data, network data, and learning data collected from the smart campus platform to describe the affective cognition status of students. Second, the multisource dataset is divided into two categories: image and text, and the CNN model is introduced to mine the psychological characteristics of college students, so as to provide a reference for the subsequent affective cognition state assessment. Finally, simulation tests are developed to confirm the viability of the technique suggested in this research. The experiments demonstrate that the accuracy of the assessment model is significantly increased because it can fully reflect the heterogeneity and comprehensiveness of the data. This also highlights that the new method has a wide range of potential applications in the modern campus setting and is also helpful in fostering the accuracy and depth of college students’ work on their affective cognition.
Lung Cancer Attracts Greater Stigma than Other Cancer Types in Aotearoa New Zealand
Authors: Godward Jess , Riordan Benjamin C. , Winter Taylor , Ashton John C. , Hunter John , Scarf Damian
Published: August 2022

Background. Lung cancer is the leading cause of cancer death in Aotearoa New Zealand, killing over 1,700 people each year. Despite the burden of lung cancer in Aotearoa New Zealand, the popular press has referred to it as the cancer type that no one talks about. Here, we investigate one factor that may contribute to this state of affairs: lung cancer stigma. Methods. Participants were university students and members of the general public. University students were recruited via an online experiment participation system in 2021. Members of the public were recruited via social media. All participants completed the Cancer Stigma Scale (CSS) for one of five cancer types (lung, cervical, breast, skin, or bowel). The CSS is a 25-item scale with six subscales: awkwardness, avoidance, severity, policy opposition, personal responsibility, and financial discrimination. Results. The mean age of participants was 24.3 (Standard Deviation = 10.4). Data from each subscale were submitted to an analysis of covariance (ANCOVA), with cancer type as a between-participant factor (5: lung, cervical, breast, skin, or bowel) and stigma as the dependent variable. Relative to most other cancer types, people were more likely to avoid someone with lung cancer, view interacting with someone with lung cancer as more awkward, and view people with lung cancer as being responsible for their condition. Conclusion. The Health Research Council of New Zealand recently funded the very first trial of lung cancer screening in Aotearoa New Zealand. The current study suggests that addressing stigma will be essential for the success of such programs, with stigma likely influencing those who engage in such trials.
[Retracted] Mental Writing and Mental Health and Cultural Identity in Doris Lessing’s Science Fiction
Authors: Liu Yuhuan
Published: August 2022

As one of the most outstanding female writers in post‐war Britain, Doris Lessing, winner of the Nobel Prize for Literature, has a strong spirit of the times in her works. In order to further understand the characteristics and spirit of the times in Doris Lessing’s novels, Doris Lessing’s science fiction is taken as the research object in this study, through in‐depth research on novel storytelling, philosophical psychology, thematic forms, etc., from the perspective of emotional psychology model, to deeply analyze the characteristics of psychological writing, mental health, and cultural identity in their science fiction. Doris Lessing’s science fiction reflects the political, cultural, and historical background of the times, and on this basis, it reflects humanitarian concerns through characters’ psychological writing and cultural identity. It is shown in the results of the study.
Quantitative Measurements of the Depth of Enamel Demineralization before and after Bleach: An In Vitro Study
Authors: Naim Sara , Spagnuolo Gianrico , Osman Essam , Mahdi Syed Sarosh , Battineni Gopi , Qasim Syed Saad B. , Cernera Mariangela , Rifai Hasna , Jaafar Nada , Maalouf Elie , Zogheib Carina Mehanna
Published: August 2022

Objective. This study is aimed at determining two main points. First, if the Canary System™ (CS), initially used to assess caries, can measure a decalcification depth of bleached enamel quantitatively, and second, whether or not whitening has a harmful effect on enamel. This device can be considered a useful tool in the clinical assessment of the progression of demineralization after bleaching. Materials and Methods. This study collected sixty human premolars that are in a good state recently extracted for orthodontic reason. To properly disinfect and preserve the premolars, they were stored in a saline solution and later in distilled water for a period of two weeks to allow the premolars to rehydrate. Later, 24 hours before the experiment, the premolars were introduced into a solution of artificial saliva to acquire back their minerals. The mineral content of the teeth was measured by the Canary System™ before bleaching. The teeth were bleached with 30% hydrogen peroxide (fläsh HP 30%), 30 min per week and for 3 consecutive weeks to simulate the conditions of strong bleaching in the clinic. The extent of demineralized enamel was measured by the Canary System™ at three points on the enamel surface of each tooth. The data were averaged for each application of the bleaching product. The demineralization extent of the teeth was measured by the Canary System™ before and after bleaching. The significance level was set at 0.05, and SPSS version 26 was used. The data were analyzed by using Wilcoxon’s and Student’s tests. Results. Mineral loss occurred after the first bleaching session; the Canary System™ detected a decalcification in the first bleaching session (532 ± 322 μm) compared to the other sessions (p ≤ 0.05), while no significant change was detected between the second and the third sessions (p > 0.05). Conclusion. Based on the findings of the present study, under in vitro conditions, it was possible to measure the demineralization extent of bleached enamel with the Canary System™.
Prevalence of Cattle Trypanosomosis and Temporal Vector Distribution in Jima Arjo District, Upper Didessa Valley, Western Ethiopia
Authors: Abdeta Debela , Deresa Takele , Haile Geremew
Published: August 2022

Trypanosomosis is a protozoan disease, mostly transmitted by the tsetse fly, Glossina species, which causes severe disease of livestock in Ethiopia. The disease is also widespread across the globe especially in sub-Saharan African states. A cross-sectional study with the objectives of determining the prevalence of bovine trypanosomosis and assess the apparent densities of the disease vectors was conducted from October 2019 to July 2020 G.C in Jima Arjo district, east Wollega zone, Oromia regional state, Ethiopia. A parasitological study using conventional buffy coat technique was employed for the determination of prevalence of trypanosomosis and species was identified by Giemsa stain technique, while baited traps were used for the vector survey. The results of parasitological study revealed that the overall prevalence was 36 (8.2%) at 95% CI. From the total trypanosome positive animals 22 (5.0%), 8 (1.82%) and 6 (1.36%) of them harbor T. congolense, T. vivax, and T. brucei, respectively. Relatively higher prevalence (10.91%) was seen in animals with poor body condition than those with medium (7.38%) and good (5.55%), body condition though it is not statistically significant (

P
>
0.05

). Higher infection rate was observed in male 26 (12.26%) than female 10 (4.39%) due to male cattle more exposed to the tsetse fly area or early released from home for drought reason. Out of the total positive animals, only 12 of them were anemic on buffy coat test of sampled blood. This justifies that animal could be positive for trypanosomosis without showing clinical sign of anemia which is the dominant sign in this disease. A total of 2185 vectors trypanosomes were collected among which 1,569 were tsetse flies and 616 were other biting flies. The density of Glossina species was 15.1 fly/trap/day. Glossina morsitans submorsitans and G. tachnoides were the two dominant species of tsetse flies recorded from the area. The present study indicated that tsetse and non-tsetse fly-borne trypanosomosis is a leading bottle neck for production and health of animals in Jima Arjo districts and similar case was found throughout the country which necessitates a coordinated vector and parasite control in order to alleviate the problem of the disease.
Influence of Emotional Factors (Positive, Negative) on the Usefulness of Product Reviews Based on Big Data
Authors: Qu Lianzhuang
Published: August 2022

In the era of prosperous online shopping, product reviews play a decisive role in users’ decision to purchase products. At the same time, it can also help businesses understand the corresponding deficiencies, to make targeted improvements. However, users’ comments are full of emotional colors, and these comments with strong emotional tendencies have a greater impact on consumers than ordinary comments, especially those with negative emotions. At present, most text sentiment analysis is oriented at the chapter and sentence level, and there are few sentiment analysis refined to product-specific attributes. Based on this, this paper is aimed at exploring the influencing factors of the emotional tendency of product reviews, analyzing a large number of reviews of a certain mobile phone product, and extracting the keywords of the influencing factors. This article summarizes six key influencing factors. Through the constructed conceptual model of emotional tendencies, it is concluded that the impact of negative emotional comments on consumption is much greater than that of positive emotional comments. Then, there is a further conceptual model of negative affective tendencies. This paper explores the causes of the influencing factors of negative affective tendencies. In this paper, the influencing factors of negative emotional tendencies are subdivided into 10 secondary factors. Through the reliability test, all secondary factors are above 87%. Then, after scoring the negative comment text code, a regression analysis was performed, and it was found that 10 secondary factors were significant, and the corresponding regression model was obtained.
Trusted Data Analysis and Consensus Mechanism of Product Traceability Based on Blockchain
Authors: Kang Yang , Li Qiang , Liu Yuanyong
Published: August 2022

As a decentralized, distributed system between functional and benefit management functions, blockchain is effective for financial transaction data security, data tracking and antitampering, product tracking, and access control. In this context, we have conducted experimental research on the blockchain product traceability trusted data analysis consensus mechanism and reached the following conclusions. (1) There are decentralization, irreversible tampering, traceability, and openness through the blockchain’s own information and other functions so that a series of processes from raw material production, transportation, and logistics sales are well documented. (2) Under the same network environment, if the number of matches in the system increases, the average matching time consumed by the original engine is greater than the average matching time on the optimized engine. For example, taking 10% of Byzantine nodes in the system, the number of consensus increases, the average ITPBFT consensus time is about 5.74 s, and the average consensus time of the PBFT consensus mechanism is about 6.13 s. As a decentralized distributed data management system through nodes, blockchain is widely used in financial transactions, copyright protection, and product areas such as tracking and access control. In this regard, we conducted an experimental study of the consensus mechanism to analyze reliable data on the traceability of blockchain products and came to the conclusion of the experiment.
Prediction of the Forwarding Volume of Campus Microblog Public Opinion Emergencies Using Neural Network
Authors: Lv Zhimei
Published: August 2022

With the continuous expansion of colleges and universities, the proportion of college students among netizens has increased rapidly. They have become an important component of Chinese netizens and the main audience of Weibo. It is easier for online public opinion to form in some social media platforms than in others. We explain places for political conversation in Chinese cyberspace in terms of interaction, which results in various types of political discussion, based on research on authoritarian deliberation. The crisis of college network public opinion caused by the improper use of Weibo by college students occurs frequently. College network public opinion has become an important factor affecting the development and stability of colleges and universities. Social network rumor forwarding behavior refers to whether users forward specific rumors. Also, there is no surety about the truthfulness of the rumor. Taking Weibo as an example, this paper proposes a neural network-based model for predicting the forwarding volume of public opinion emergencies on campus Weibo. It solves the problem of low prediction accuracy of traditional SVM and other models. The data-driven experimental findings suggest that the technique described in this study can increase the accuracy of predicting forwarding volume in unexpected campus public opinion events.
The Absorption and Distribution Characteristics of Willow Clones to Copper and Its Detoxification Mechanism
Authors: Zhen Ziheng
Published: August 2022

Phytoremediation technology is a measure to purify pollutants in soil or water through the absorption, volatilization, root filtration, degradation, and stabilization of plants, and its core is to find plants with large biomass and high enrichment. The wild willow tree found in Tonglushan is a fast-growing Euphorbiaceae plant, which has strong tolerance to the heavy metal copper (Cu) and has the characteristics of developed root system, barren resistance, and high economic value. Taking willow as the research object, this paper studied the composition, copper enrichment sites, morphology, subcellular distribution characteristics and absorption, transportation, and enrichment mechanism of willow root exudates under copper stress through hydroponic and pot experiments. By adding phosphate fertilizers, inducers, and other agronomic control measures, the strengthening technology and mechanism of Cu-contaminated soil phytoremediation were studied. The main research contents and results are as follows: the results of hydroponics and pot experiments show that the willow tree has a certain tolerance to Cu, and Cu mainly accumulates in its roots. Oxalic acid, succinic acid, tartaric acid, citric acid, and malic acid are the main organic acids in willow root exudates. Root exudation activity acidified the rhizosphere soil, increased acid exchangeability, and reducible Cu content, while other forms of Cu content decreased. Root exudates affect the uptake and accumulation of copper by willow trees by altering the bioavailability of copper in soil.