bluuebunny/crossref_metadata_2025 huggingface dataset:
Stability of symmetric powers of vector bundles of rank two with even degree on a curve
Authors: Kim Jeong-Seop
Published: November 2021

This paper treats the strict semi-stability of the symmetric powers [Formula: see text] of a stable vector bundle [Formula: see text] of rank [Formula: see text] with even degree on a smooth projective curve [Formula: see text] of genus [Formula: see text]. The strict semi-stability of [Formula: see text] is equivalent to the orthogonality of [Formula: see text] or the existence of a bisection on the ruled surface [Formula: see text] whose self-intersection number is zero. A relation between the two interpretations is investigated in this paper through elementary transformations. This paper also gives a classification of [Formula: see text] with strictly semi-stable [Formula: see text]. Moreover, it is shown that when [Formula: see text] is stable, every symmetric power [Formula: see text] is stable for all but a finite number of [Formula: see text] in the moduli of stable vector bundles of rank [Formula: see text] with fixed determinant of even degree on [Formula: see text].
Thermodynamic quasi-stability of super entropic BTZ black hole
Authors: Sinha Aloke Kumar
Published: November 2021

We know that criteria for thermodynamic stability of a most general black hole appears in the form of a series of inequalities connecting second-order derivatives of the black hole mass with respect to its parameters. Quasi-stable black holes satisfy some of these stability criteria in a certain regime of parameter space, but they never satisfy all the criteria simultaneously. We also know that specific heat, by virtue of our general stability criteria, is not necessarily negative for quasi-stable black holes. We show here that ([Formula: see text])-dimensional charged super entropic BTZ black hole is thermodynamically quasi-stable if fluctuation in cosmological constant is taken into account. We in fact study the fluctuations of all the thermodynamic parameters of this black hole in detail, namely, its charge, horizon area and cosmological constant. This detailed study concludes that this BTZ black hole transforms into some other kind of black hole during its Hawking decay and becomes stable. We also show differences in thermodynamic properties between this charged super entropic BTZ black hole and other AdS black holes.
Implications of the spectrum of dynamically generated string tension theories
Authors: Guendelman E. I.
Published: November 2021

The string tension does not have to be put in by hand, it can be dynamically generated, as in the case when we formulate string theory in the modified measure formalism, and other formulations as well. Then string tension appears, but as an additional dynamical degree of freedom. It can be seen however that this string tension is not universal, but rather each string generates its own string tension, which can have a different value for each string. We also define a new Tension scalar background field which change locally the value of the string tension along the world sheets of the strings. When there are many strings with different string tensions this Tension field can be determined from the requirement of world sheet conformal invariance and for two types of string tensions depending on the relative sign of the tensions we obtain nonsingular cosmologies and warp space scenarios and when the two string tensions are positive, we obtain scenarios where the Hagedorn temperature is avoided in the early universe or in regions of warped space time where the string tensions become very big.
Selective epoxidation of olefins by vanadylporphyrin [VIVO(TPP)] and electron deficient nonplanar β-octabromovanadylporphyrin [VIVO(TPPBr8)]
Authors: Maurya Mannar R. , Prakash Ved , Sankar Muniappan
Published: November 2021

Meso-tetraphenylporphyrinatooxidovanadium(IV) [VIVO(TPP)] (1) and 2,3,7,8,12,13, 17,18-octabromo-meso-tetraphenylporphyrinatooxidovanadium(IV) [VIVO(TPPBr[Formula: see text]] (2) were synthesized and characterized by various spectroscopic techniques. 1 and 2 were utilized as efficient catalysts for the selective epoxidation of olefins. Catalyst 2 shows very high catalytic activity (TOF = 8783–13108 h[Formula: see text] as compared to 1 (TOF = 2175–3296 h[Formula: see text]. The catalysts are recyclable, as their recyclability was checked for four cycles and show only minor reduction of their efficiency.
Geochemical evaluation of the
in situ
regolith at Madengi Hill, Dodoma, Tanzania: implications for bedrock mapping and delineating gold mineralization targets
Authors: Godfray Godson
Published: November 2021

Successful gold exploration projects depend on a piece of clear information on the association between gold, trace elements and mineralization controlling factors. The use of soil geochemistry has been an important tool in pinpointing exploration targets during the early stage of exploration. This study aimed to establish the gold distribution, the elemental association between gold and its pathfinder elements such as Cu, Zn, Ag, Ni, Co, Mn, Fe, Cd, V, Cr, Ti, Sc, In and Se, and identify lithologies contributing to the overlying residual soils. From cluster analysis, a high similarity level of 53.93% has been shown with Ag, Cd and Se at a distance level of 0.92. Au and Se have a similarity level of 65.87% and a distance level of 0.68; hence, is proposed to be the most promising pathfinder element. Principal component analysis (PCA), factor analysis (FA) and the Pearson's correlation matrix of transformed data of V, Cu, Ni, Fe, Mn, Cr and Co, and a stronger correlation between Pb and U, Th, Na, K, Sn, Y, Ta and Be shows that source gold mineralization might be associated with both hornblende gneisses interlayered with quartzite, tonalite and tonalitic orthogneiss. From the contour map and gridded map of Au and its pathfinder elements, it has been noted that their anomalies and generated targets are localized in the northern part of the area. The targets trend ESE–WNW, nearly parallel to the shear zones as a controlling factor of Au mineralization emplacement.

Supplementary material
: Concentration data for each of the 44 elements analysed are available at
https://doi.org/10.6084/m9.figshare.c.5721965
The rejuvenation of hydrocarbon exploration in the Eastern Mediterranean
Authors: Lottaroli Fabio , Meciani Lorenzo
Published: November 2021

The exploration history of the large Eastern Mediterranean Basin, which encompasses the Nile Delta, Levantine, Herodotus and Eratosthenes provinces, has seen several phases of rejuvenation since exploration started in the 1950s, with new plays opened repeatedly after the basin was considered mature by the industry. The 584 exploration wells drilled to date have discovered more than 23 Bboe recoverable reserves/resources, mostly gas. The first discovery was the Abu Madi Field, in 1967, which opened the Messinian clastic play. Over time, other plays and sub-plays were opened, including the Serravallian–Tortonian, the Plio–Pleistocene, the Oligo–Miocene in the Levantine, the intra-Oligocene and the Cretaceous carbonates. The exceptional variety of plays, with different trapping styles, reservoir and seal facies patterns has few equivalents worldwide and makes the region a valuable training ground for explorers. The geological variety is not the only reason for such a complex and episodic exploration history: commercial (gas market) and geopolitical issues have also had an impact on the activity in parts of the basin. The largest discoveries have been made in the last 10 years (Tamar, Leviathan, Zohr) and, despite the intense exploration activity, parts of the basin remain underexplored. The company with the longest and most successful play opening history in the basin is Eni. Today, most major oil companies are active in the basin, which even after 70 years is still considered one of the world's exploration hotspots.
A review of Triassic insects in China
Authors: Zhang Qianqi , Zheng Daran , Wang Bo , Zhang Haichun
Published: November 2021

Studies of Triassic insects in China began in 1956, and, so far, a total of 89 genera and 109 species have been found from the Triassic of China. The fossil records from 17 provinces (or regions) in China are assigned to 11 orders, except for two genera and species considered
incertae sedis
in Insecta. These Chinese Triassic insects, including one Early Triassic, 53 Middle Triassic and 55 Late Triassic species, are briefly reviewed in taxonomy and distribution, and listed here with detailed taxonomic and stratigraphic information. The Middle Triassic Tongchuan and Late Triassic Toksun entomofaunas are introduced in detail from the perspectives of composition and taxonomy. Existing data indicate that the Chinese Triassic entomofauna is dominated by Hemiptera, Mecoptera and Coleoptera; the Chinese Early Triassic insects are only known from Fuyuan in Yunnan Province, Middle Triassic insects are mainly known from northern China and sporadically from Guizhou Province, southern China, and Late Triassic insects are seen widely in both northern and southern China. The Middle and Late Triassic entomofaunas have a similar abundance but show a pattern of being more common in northern China than in southern China.
Jehol fossils from the Jiaolai Basin of Shandong, North China: review and new perspectives
Authors: Wang Jun , Zhou Chang-Fu , Jourdan Fred , Chang Su-Chin
Published: November 2021

Starting in the early 1950s, palaeontologists began to discover a wide range of Cretaceous terrestrial fossils in the Laiyang, Qingshan and Wangshi groups of the Jiaolai Basin, which resides in the eastern part of the Shandong Peninsula of northern China. Significant specimens from these deposits include various dinosaur eggs, footprints and fossils, including hadrosauroids, tyrannosaurids and ankylosaurids. These expanded the understanding of evolution, biodiversity and palaeoecology in East Asia. While many examples of the Jehol Biota from this area are not well constrained in terms of their stratigraphy and geochronology, previous studies have generally suggested that fossils from this region represent the second or third phase of Jehol Biota development. This paper reviews fossils, stratigraphic correlations, tectonic history and age estimates for the less well-studied outcrops of the Shandong Peninsula that host the Jehol Biota. We report three new
40
Ar/
39
Ar ages for the Qingshang Group and discuss how these somewhat imprecise ages still constrain chronostratigraphic interpretation for the fossil-rich units.
Defining the Bemaraha megatracksite: an update on dinosaur ichnology in Madagascar
Authors: Wagensommer Alexander , Dolch Rainer , Ratolojanahary Tiana , Donato Simon , D'Orazi Porchetti Simone
Published: November 2021

The Bemaraha Formation preserves a unique and abundant record of dinosaur footprints, the only occurrence of this type known from Madagascar. Theropod and sauropod tracks occur in Middle Jurassic strata and form an important record from this otherwise poorly documented time interval. Here we report on 18 new tracksites, raising the total number of known localities in the Bemaraha to 31. The majority of these sites occur at the same stratigraphic level that can be traced over an area of at least 30 km
2
, which makes it one of the most laterally extensive occurrences of dinosaur tracks on record in the Southern Hemisphere. Dinosaur tracks are restricted to a few bedding surfaces representing times of sea-level lowstand within a normally marine environment. Theropod tracks are by far more abundant than sauropod tracks and typically are orientated towards the palaeocoastline. This pattern is interpreted as evidence of a short-scale migration between feeding and resting grounds. The Bemaraha Formation thus allows a rare glimpse into dinosaur behaviour in a marginal-marine environment of Jurassic age.
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model
Authors: Liang Shangsong , Luo Yupeng , Meng Zaiqiao
Published: November 2021

In this article, we study the task of user profiling in question answering communities (QACs). Previous user profiling algorithms suffer from a number of defects: they regard users and words as atomic units, leading to the mismatch between them; they are designed for other applications but not for QACs; and some semantic profiling algorithms do not co-embed users and words, leading to making the affinity measurement between them difficult. To improve the profiling performance, we propose a neural Flow-based Constrained Co-embedding Model, abbreviated as FCCM. FCCM jointly co-embeds the vector representations of both users and words in QACs such that the affinities between them can be semantically measured. Specifically, FCCM extends the standard variational auto-encoder model to enforce the inferred embeddings of users and words subject to the voting constraint, i.e., given a question and the users who answer this question in the community, representations of the users whose answers receive more votes are closer to the representations of the words associated with these answers, compared with representations of whose receiving fewer votes. In addition, FCCM integrates normalizing flow into the variational auto-encoder framework to avoid the assumption that the distributions of the embeddings are Gaussian, making the inferred embeddings fit the real distributions of the data better. Experimental results on a Chinese Zhihu question answering dataset demonstrate the effectiveness of our proposed FCCM model for the task of user profiling in QACs.
Deconvolution of Gas Diffusion Polarization in Ni/Gadolinium-Doped Ceria Fuel Electrodes
Authors: Grosselindemann C. , Russner N. , Dierickx S. , Wankmüller F. , Weber A.
Published: November 2021

The deconvolution of physicochemical processes in impedance spectra of SOCs with nickel/ceria fuel electrodes is challenging as gas diffusion strongly overlaps with the electrochemical processes at fuel and air electrode. To overcome this issue, symmetrical cells were applied and the gas diffusion process at the fuel electrode was quantified by altering the inert component (nitrogen/helium) in a ternary fuel gas mixture. An effective gas transport parameter considering microstructural and geometrical features was derived, enabling a precise quantification of polarization resistances related to gas diffusion and hydrogen electrooxidation. The obtained values were applied to parameterize a dc cell model. The model validation in fuel cell and electrolyzer mode showed an excellent agreement between measured and simulated current/voltage characteristics over a wide range of technically meaningful gas compositions and operating temperatures.
Dielectric Characteristics Analysis of Aluminum Electrolytic Capacitors Based on Linear Response Function
Authors: Mukaiyama Daisaku , Yamamoto Masayoshi
Published: November 2021

The electrical characteristics of Aluminum Electrolytic Capacitors are usually measured in frequency domain. The measured data of capacitance and dissipation or equivalent series resistance (ESR) has been treated individually for each frequency, and the “LCR” model has been developed by utilizing the measurement data in frequency domain. Therefore, these models don't show any relation between capacitance and dissipation which should follow the Kramers-Kronig relations. In this paper, we discuss the dielectric characteristics of Aluminum Electrolytic Capacitors based on the linear response theory. The complex dielectric formula based on this study can explain both the frequency and the temperature characteristic of capacitance of Aluminum Electrolytic Capacitor, and the relation between the frequency dependency of capacitance and the dissipation factor. This study is based on the hypothesis that the linear response function of the dielectric of Aluminum Electrolytic Capacitor should be expressed as the -nth powers of the ratio of time to the relaxation saturation time τdi. Only the two parameters: 1- n and τdi
can give the exact calculation formula to both the capacitance and the dissipation factor of the dielectric behavior of Aluminum Electrolytic Capacitors.
Density Functional Theory Study on Anisotropic Arrangement of Interstitial Oxygen Atoms at (001) Interface of Oxide Precipitates in Si Crystal
Authors: Nagakura H. , Sueoka K. , Kamiyama E.
Published: November 2021

The stability of the anisotropic oxygen (O) arrangement at the (001) interface of oxide precipitate (OP) in a Si crystal was analyzed by the density functional theory to understand the OP/Si interfacial structure and the gettering mechanism at the interface at an atomic level. In contrast to the case of the Si bulk, the O atoms align in one Si–Si zig-zag bond to some extent, then start to occupy other Si–Si bonds. After the O atoms are arranged in multiple series in the first interface layer to some extent, those in the second layer become more stable. This trend was confirmed for the second and third layers. The results support the existence of an experimentally observed transition layer with a composition of SiO
x
(x < 2) at the interface [Kissinger et al., ECS J. Solid State Sci. Technol., 9, 064002 (2020)]. Furthermore, several O alignments at the interface drastically reduce the formation energy of Si vacancies. The vacancies at the OP/Si interface were found to be effective gettering sites for Cu while the dangling bond was found to be an effective gettering site for Ni with a binding energy exceeding 1 eV.
Do students effectively learn physiology through distance online instruction? Medical students’ perceptions and academic performance
Authors: Abdul Razzak Rima , Al-Shaibani Tariq , Naguib Yahya
Published: November 2021

This an account of student feedback on the distance online tools adopted at the onset of the COVID-19 pandemic for teaching cardiovascular (CVS) physiology to Year 2 medical students within a problem-based learning (PBL) medical curriculum. Students’ achievement upon assessment of CVS physiology theory content was also evaluated. Most students were ready for online learning in terms of appropriate equipment and internet connectivity. Most students expressed a preference for face-to-face learning of CVS physiology; however, they relied on recorded videos mainly for learning, instead of real-time attendance of physiology learning activities. Most students also reported a negative experience of distance online learning of CVS physiology during the lockdown, and only a few students expressed connection with their instructor through the physiology learning activities. Students undertaking online learning and examination during the pandemic achieved comparably to the prior year’s cohort of PBL students learning in person and undertaking paper-based assessment. This indicates that our medical students preferred asynchronous learning during the pandemic confinement and that they sufficiently achieved their learning outcomes in CVS physiology, displaying resilience in their adaptation to the online learning and examination format.
Explaining medical students’ learning outcomes in blended course designs: combining self-reported and observational learning experiences
Authors: Han Feifei , Ellis Robert A.
Published: November 2021

Blended course designs have been increasingly adopted in medical education. However, research on the relations between the key aspects of students’ learning experience and their learning outcomes often only measures students’ self-reported experience, neglecting what they actually do in learning. This study combined both self-reported and observational measures of students’ learning experiences and examined the relations between the two sets of measures and their contributions to learning outcomes. Australian medical students were asked to report their approaches to, and perceptions of, learning. The frequency and duration of their interactions with both online formative and summative tasks were observed and recorded. Correlation analyses showed that the learning outcome was positively related to deep approaches to using online technologies and duration of interactions with online summative tasks. The hierarchical multiple regression analysis found that the self-reported approaches and duration of interactions jointly explained the learning outcomes, accounting for 6% of the variance. The study demonstrated the complementary nature of using both self-reported and observational measures of students’ learning experiences to explain the learning outcomes in blended course designs.
Long-term complications of COVID-19
Authors: Desai Amar D. , Lavelle Michael , Boursiquot Brian C. , Wan Elaine Y.
Published: November 2021

SARS-CoV-2 has rapidly spread across the globe and infected hundreds of millions of people worldwide. As our experience with this virus continues to grow, our understanding of both short-term and long-term complications of infection with SARS-CoV-2 continues to grow as well. Just as there is heterogeneity in the acute infectious phase, there is heterogeneity in the long-term complications seen following COVID-19 illness. The purpose of this review article is to present the current literature with regards to the epidemiology, pathophysiology, and proposed management algorithms for the various long-term sequelae that have been observed in each organ system following infection with SARS-CoV-2. We will also consider future directions, with regards to newer variants of the virus and their potential impact on the long-term complications observed.
ELAPOR1 is a secretory granule maturation-promoting factor that is lost during paligenosis
Authors: Cho Charles J. , Park Dongkook , Mills Jason C.
Published: November 2021

Here, we find the MIST1 (BHLHA15) transcriptional target ELAPOR1 is an evolutionarily conserved, trans-Golgi/late endosome M6PR domain-containing protein that is specific to gastric zymogenic cells and required for normal secretory granule maturation in human cell lines and in mouse stomach.
Prenatal exercise and cardiovascular health (PEACH) study: impact of acute and chronic exercise on cerebrovascular hemodynamics and dynamic cerebral autoregulation
Authors: Skow Rachel J. , Labrecque Lawrence , Rosenberger Jade A. , Brassard Patrice , Steinback Craig D. , Davenport Margie H.
Published: November 2021

These data represent the first assessments of dynamic cerebral autoregulation in pregnancy using a sit-to-stand. We used a randomized controlled trial to show dynamic cerebral autoregulation is not impacted by gestational age or by chronic exercise. However, there are larger decreases in blood pressure and cerebral blood velocity following sit-to-stand after acute exercise without adverse events. These data highlight the adaptability of the cerebral circulation during pregnancy to accommodate large changes in the cardiovascular system.
Loneliness is linked to specific subregional alterations in hippocampus-default network covariation
Authors: Zajner Chris , Spreng R. Nathan , Bzdok Danilo
Published: November 2021

The hippocampus and default network have been implicated in rich social interaction. Yet, these allocortical and neocortical neural systems have been interrogated in mostly separate literatures. Here, we conjointly investigate the hippocampus and default network at a subregion level, by capitalizing structural brain scans from ∼40,000 participants. We thus reveal unique insights on the nature of the “lonely brain” by estimating the regimes of covariation between the hippocampus and default network at population scale.
[Retracted] Investigation on Risk Stratification and the Prognostic Value of hs‐TnT Combined with MMP‐2 in Patients with Acute Coronary Syndrome
Authors: Li Ying , Li Li , Wang Kun , Wu Pengtao , Cui Yijie
Published: November 2021

Objective. The aim of this study was at investigating the risk stratification and prognostic value of hypersensitive troponin T (hs‐TnT) combined with matrix metalloproteinase 2 (MMP‐2) in patients with acute coronary syndrome (ACS). Methods. 80 patients with coronary syndrome admitted to our hospital from January 2019 to January 2020 and 40 healthy people (control group) in the same period were selected. According to different types of diseases, the patients were divided into an acute group (n = 40) and stable group (n = 40). Besides, they all were monitored by the hs‐TnT value, serum MMP‐2, and coronary angiography at admission and the comparative analysis was carried out. The patients in both groups were followed up for 30 days, and the incidence of adverse cardiovascular events in the patients during this period was recorded. Results. Compared with those in the control group, the MMP‐2 and hs‐TnT levels in the acute group and the stable group were significantly higher and the MMP‐2 and hs‐TnT levels in the acute group were significantly higher than those in the stable group, with statistically significant differences (P < 0.05). The 30‐day follow‐up results showed that the incidence of adverse cardiovascular events in the acute group was significantly higher than that in the stable group, with statistically significant differences (P < 0.05). The hs‐TnT and MMP‐2 levels in the acute myocardial infarction (AMI) group were significantly higher than those in the unstable angina pectoris (UAP) group, with statistically significant differences (P < 0.01). The hs‐TnT and MMP‐2 levels in the non‐single‐vessel group were significantly higher than those in the single‐vessel group, with statistically significant differences (P < 0.01). Conclusion. The hs‐TnT and MMP‐2 high expression levels are closely associated with myocardial injury, and they can effectively predict the severity of patients’ disease. In addition, the hs‐TnT and MMP‐2 elevated levels can be considered as an important index to judge the short‐term treatment efficacy and the risk stratification of early ACS, playing an important role in clinical treatment and rehabilitation in the later stage.
Glutathione S-Transferase Omega-2 and Transforming Growth Factor-β1 Polymorphisms in Iranian Glaucoma Patients
Authors: Bamdad Shahram , Sanie-Jahromi Fatemeh , Alamolhoda Marzieh , Masihpour Nasrin , Karimi Mohammad-Hossein
Published: November 2021

Background. To investigate the association of glutathione s-transferase omega 2 (GSTO2) (142N > D) and transforming growth factor-β1 (TGF-β1) (869T > C) gene polymorphisms on the pathogenesis of two common types of glaucoma (including primary open-angle glaucoma (POAG) and chronic angle-closure glaucoma (CACG)) in the Iranian population. Methods. A total of 100 glaucoma patients (60% males and 40% females with an age mean ± SD of 34.66 ± 14.25 years; 56 cases of POAG and 44 cases of CACG) were enrolled in this study. GSTO2 (142N > D) and TGF-β1 (869T > C) polymorphisms were evaluated by PCR-based methods in patients and controls. Results. At locus GSTO2 (142N > D), the odds of ND genotype with respect to DD and NN genotypes were 1.55 and 2.08 times higher in POAG and CACG patients compared to those of patients in the control group (95% CI1: 0.80–2.98; 95% CI2: 1.00–4.33) which was statistically significant in CACG patients. However, the odds of DD and NN genotypes against the reference genotype in two patients group were not statistically significant as compared to those of patients in the control group. There was a significant association between the ND genotype and male patients (OR = 2.28, 95% CI: 1.06–4.92). The analysis of TGF-β1 (869T > C) polymorphisms showed no significant difference between the genotypes of TGF-β1 (869T > C) polymorphisms in patients and control groups; however, the CT genotype of TGF-β1 significantly differed between female controls and patients (OR = 0.42, 95% CI: 0.18–0.96). Conclusion. The presented results revealed that there was a significant association between the ND genotype of GSTO2 and the pathogenesis of glaucoma. Furthermore, this genotype can be considered as a sex-dependent genetic risk factor for the development of glaucoma. In contrast, the CT genotype of TGF-β1 is suggested to be a protective genetic factor against the pathogenesis of glaucoma.
Analysis of Brand Communication Influence of Professional Sports Clubs Based on Complex System Discrete Model
Authors: Zhang Hui
Published: November 2021

In recent years, because the complex system discrete model has brought good results in the application of many research directions such as human management analysis, control system prediction, and animal group prediction, how to combine the complex system discrete model with the prediction of enterprise brand communication effect has become a current research hotspot. Based on this, this paper studies the application of the discrete model based on the complex system in sports club to enterprise brand communication and designs a model of the impact of professional sports club on enterprise brand communication based on the SIR model and PSO algorithm. Firstly, this paper analyzes the research status of the impact on enterprise brand communication at home and abroad and optimizes and improves the impact of professional sports clubs on enterprise brand communication and the shortcomings of big data analysis technology in the current research. The complex system discrete model can accurately analyze the enterprise brand communication and conduct big data mining analysis with known professional sports clubs to achieve accurate calculation. The results show that in the process of analyzing the impact of professional sports clubs and enterprise brand communication, the communication mode design of professional sports clubs based on SIR-PSO algorithm can not only effectively deal with various complex discrete data evaluated by club users but also analyze and evaluate the impact of professional sports clubs on enterprise brand communication.
A Novel “回” Pattern Branch Antenna for 3G\4G\WLAN\Bluetooth\Navigation Applications
Authors: Xie Tangyao , Yu Jianguo , Li Yao , Yu Zhen , Lin Ziheng
Published: November 2021

This study proposes and designs a multiband branch antenna with a structure that imitates the Chinese classical pattern structure. The antenna radiator’s structure is a symmetrical rectangular stub fused with a Chinese classical pattern structure, and the rectangular stub is bent so that the outer and inner stubs are coupled to each other to generate multiple frequency bands. Microstrip line feeding is the feeding mode, and the grounding plate is a trapezoidal structure formed by subtracting two triangles from a rectangle. The overall size of the antenna is 60 × 60 × 1.6 mm3, and the dielectric board adopts FR4. The substrate dielectric constant εr = 4.4, the thickness h = 1.6 mm, and the dielectric loss tangent tanδ = 0.02. For antenna modeling and parameter optimization, HFSS electromagnetic simulation software is used. The antenna can cover 1.49 to 1.60 GHz, 1.87 to 2.51 GHz, and 4.63 to 5.34 GHz and generate three main frequencies: 1.57, 2.15, and 5.06 GHz, according to test result. The antenna has omnidirectional radiation characteristics and can be widely used in future mobile communication network coverage.
Application of Mobile APP in Moral Education Course Teaching Based on Intelligent Internet of Things
Authors: Liu Guoyong , Xu Yongjie
Published: November 2021

Moral education is one of the important teaching goals of modern education. It is not a clear, specific, and microexamination teaching like knowledge and science but a political, ideological, and moral education in the form of curriculum teaching. In the information age, the Internet is filled with a huge amount of good and bad information. Facing the temptation and impact of bad information, moral education is very important. The main purpose of this research is to understand the current status of moral education curriculum teaching in China and propose a method of applying mobile APP to assist moral education curriculum teaching in accordance with the development difficulties faced by moral education curriculum teaching in the Internet era. This article uses the methods of literature research and questionnaire survey, by consulting the relevant literature and interviewing randomly selected teachers and students of moral education courses in secondary vocational colleges, from the basic conditions of students’ academic qualifications and age, moral education course learning situation, and moral education course teaching arrangements and conducts questionnaire surveys on mobile APP teaching applications. Finally, this article also uses statistical methods to analyze the difficulties and impacts of moral education curriculum teaching and tests the effectiveness of the application of mobile APP teaching methods in moral education teaching through the independent sample t-test method. Research shows that at the level of significance of

α
=
0.05

, the application of mobile APP does help to improve the learning efficiency and enthusiasm of students in the teaching of moral education courses and improve the teaching level of moral education courses.
Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm
Authors: Shahbazian Alireza , Rabiefar Hamidreza , Aminnejad Babak
Published: November 2021

The shear failure of reinforced concrete (RC) beams is a critical issue and has attracted the attention of researchers. The specific challenges of shear failure are the numerous factors affecting shear strength, the nonlinear behavior, and the nonlinear relationship between affecting parameters and the concrete properties. This study tackles this challenge by employing Artificial Neural Network (ANN) models. Since, according to No Free Lunch theorem, the performance of optimization algorithms is problem‐dependent, this paper aims to assess the feasibility of modeling the shear strength of RC beams using ANNs trained with the Tabu Search Training (TST) algorithm. To this end, 248 experimental results were collected from the literature, and a feed‐forward ANN model was employed to predict the shear strength. To assess its feasibility, the ANNs were also modeled using the Particle Swarm Optimization, and Imperialist Competitive Algorithms. As a traditional technique, the multiple regression model was also employed. The shear design equations of ACI‐318‐2019 were also investigated and compared with Tabu Search Trained ANN model. The analysis of results suggests the superiority of Tabu Search Trained ANNs in comparison to other suggested models in literature and the ACI‐318‐2019 design code.
[Retracted] Intelligent Sports Video Classification Based on Deep Neural Network (DNN) Algorithm and Transfer Learning
Authors: Guo Xiaoping
Published: November 2021

Traditional text annotation‐based video retrieval is done by manually labeling videos with text, which is inefficient and highly subjective and generally cannot accurately describe the meaning of videos. Traditional content‐based video retrieval uses convolutional neural networks to extract the underlying feature information of images to build indexes and achieves similarity retrieval of video feature vectors according to certain similarity measure algorithms. In this paper, by studying the characteristics of sports videos, we propose the histogram difference method based on using transfer learning and the four‐step method based on block matching for mutation detection and fading detection of video shots, respectively. By adaptive thresholding, regions with large frame difference changes are marked as candidate regions for shots, and then the shot boundaries are determined by mutation detection algorithm. Combined with the characteristics of sports video, this paper proposes a key frame extraction method based on clustering and optical flow analysis, and experimental comparison with the traditional clustering method. In addition, this paper proposes a key frame extraction algorithm based on clustering and optical flow analysis for key frame extraction of sports video. The algorithm effectively removes the redundant frames, and the extracted key frames are more representative. Through extensive experiments, the keyword fuzzy finding algorithm based on improved deep neural network and ontology semantic expansion proposed in this paper shows a more desirable retrieval performance, and it is feasible to use this method for video underlying feature extraction, annotation, and keyword finding, and one of the outstanding features of the algorithm is that it can quickly and effectively retrieve the desired video in a large number of Internet video resources, reducing the false detection rate and leakage rate while improving the fidelity, which basically meets people’s daily needs.
The Impact of Media Coverage and Curfew on the Outbreak of Coronavirus Disease 2019 Model: Stability and Bifurcation
Authors: Al-Tameemi Afrah K. S. , Naji Raid K.
Published: November 2021

In this study, the spreading of the pandemic coronavirus disease (COVID-19) is formulated mathematically. The objective of this study is to stop or slow the spread of COVID-19. In fact, to stop the spread of COVID-19, the vaccine of the disease is needed. However, in the absence of the vaccine, people must have to obey curfew and social distancing and follow the media alert coverage rule. In order to maintain these alternative factors, we must obey the modeling rule. Therefore, the impact of curfew, media alert coverage, and social distance between the individuals on the outbreak of disease is considered. Five ordinary differential equations of the first-order are used to represent the model. The solution properties of the system are discussed. The equilibria and the basic reproduction number are computed. The local and global stabilities are studied. The occurrence of local bifurcation near the disease-free equilibrium point is investigated. Numerical simulation is carried out in applying the model to the sample of the Iraqi population through solving the model using the Runge–Kutta fourth-order method with the help of Matlab. It is observed that the complete application of the curfew and social distance makes the basic reproduction number less than one and hence prevents the outbreak of disease. However, increasing the media alert coverage does not prevent the outbreak of disease completely, instead of that it reduces the spread, which means the disease is under control, by reducing the basic reproduction number and making it an approachable one.
Medical Record Encryption Storage System Based on Internet of Things
Authors: Zhan Yamei , Xuan Zhaopeng
Published: November 2021

The Internet of Things takes data as the center, and its core is data storage and management. With the emergence and rapid development of wireless communication technology, with the huge number of terminals in human society, massive data will be generated. Undoubtedly, data storage and management technology will attract much attention. In view of this, this paper proposes a data storage scheme based on the Internet of Things. This paper introduces the Internet of Things technology, designs it from the perspective of the massive data storage system of the Internet of Things, realizes the intelligent processing of data storage, and provides security guarantee for information services. By combing the business process management of doctors, nurses and patients, this paper constructs a medical record encryption management system, makes a comparative analysis before and after the system goes online, and carries out simulation experiments. The simulation results show that (1) the cost of paper is significantly reduced, and the related forms of medical records are more unified and standard, (2) medical record inquiry and reading are more convenient and controllable, and (3) the safety of medical records is well guaranteed. Except that the relevant doctors and nurses of patients can view the relevant medical records, and others have no authority to query and access them. Therefore, the encrypted medical record storage system based on Internet of Things technology can effectively solve the collection, statistics, and integration of patient treatment information, which can be summarized into a unified, shared, and interconnected electronic medical record management system to realize the collection of patient treatment information in the whole process.
Dissipative Filter Design for Nonlinear Time‐Varying‐Delay Singular Systems against Deception Attacks
Authors: Liu Guobao , Shen Shibin , Jia Xianglei
Published: November 2021

This paper applies a T‐S fuzzy model to depict a class of nonlinear time‐varying‐delay singular systems and investigates the dissipative filtering problem for these systems under deception attacks. The measurement output is assumed to encounter random deception attacks during signal transmission, and a Bernoulli distribution is used to describe this random phenomena. In this case, the filtering error system modeled by a stochastic singular T‐S fuzzy system is established and stochastic admissibility for this kind of system is defined firstly. Then, by combining some integral inequalities and using the Lyapunov–Krasovskii functional approach, sufficient delay‐dependent conditions are presented based on linear matrix inequality techniques, where the system of filtering error can be stochastically admissible and strictly ‐dissipative against randomly occurring deception attacks. Moreover, parameters of the desired filter can be obtained via the solutions of the established conditions. The validity of our work is illustrated through a mostly used example of the nonlinear system.
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Authors: Dhanaraj Rajesh Kumar , Ramakrishnan Vinothsaravanan , Poongodi M. , Krishnasamy Lalitha , Hamdi Mounir , Kotecha Ketan , Vijayakumar V.
Published: November 2021

In the current ongoing crisis, people mostly rely on mobile phones for all the activities, but query analysis and mobile data security are major issues. Several research works have been made on efficient detection of antipatterns for minimizing the complexity of query analysis. However, more focus needs to be given to the accuracy aspect. In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. To address the above‐said issues and further enhance the antipattern detection accuracy with minimum time and false positive rate, in this work, Random Forest Bagging X‐means SQL Query Clustering (RFBXSQLQC) technique is proposed. Different patterns or queries are initially gathered from the input SQL query log, and bootstrap samples are created. Then, for each pattern, various weak clusters are constructed via X‐means clustering and are utilized as the weak learner (clusters). During this process, the input patterns are categorized into different clusters. Using the Bayesian information criterion, the similarity measure is employed to evaluate the similarity between the patterns and cluster weight. Based on the similarity value, patterns are assigned to either relevant or irrelevant groups. The weak learner results are aggregated to form strong clusters, and, with the aid of voting, a majority vote is considered for designing strong clusters with minimum time. Experiments are conducted to evaluate the performance of the RFBXSQLQC technique using the IIT Bombay dataset using the metrics like antipattern detection accuracy, time complexity, false-positive rate, and computational overhead with respect to the differing number of queries. The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.
Detection of Body Behavior Characteristics in Sports Training Based on Grey Relational Model
Authors: Li Liping , Zeng Shishan
Published: November 2021

In order to deal with the problems of low detection accuracy and efficiency existing in traditional detection methods of body behavior characteristics in sports training, this paper proposes a new detection method of body behavior characteristics in sports training based on the grey correlation model. According to this method, the foreground binary image is obtained by the interframe difference method, and the action information and contour information are extracted, firstly. And then, the behavior feature descriptor is obtained. After the description of body behavior characteristics in sports training is completed, the grey correlation coefficient is calculated, and the complete observation equation of time delay estimation of image grey value under complex sports training background is established to complete the detection of body behavior characteristics. The experimental results show that, compared with the traditional methods, the detection accuracy and efficiency of the text method can always maintain a high level, indicating that the practical application performance of this method is strong. In fact, the grey analysis does not attempt to find the best solution but does provide techniques for determining a good solution.
Optimal Predictive Control Method of PWM Rectifiers Based on Artificial Intelligence
Authors: Liu Yue , Tan Guojun
Published: November 2021

Direct power control (DPC) of pulse width modulation (PWM) is often used to control the instantaneous power of rectifiers. The instantaneous power contains both grid voltage and current information, and its value is not affected by coordinate transformation. It is constant in steady state and reflects the DC control characteristics. However, the switching frequency of traditional DPC is not fixed, the DC voltage has static error, and the system fluctuates greatly. In this work, we introduce the concept of stator flux of the AC motor into the PWM rectifier. Combined with the space vector PWM (SVPWM) technology, we use the virtual flux estimation method to obtain the instantaneous power value, which saves the grid voltage sensor, eliminates the static difference of DC voltage. Furthermore, considering that the neural proportion integral differential (PID) control depends heavily on the initial weight coefficient of the network, we use chaos particle swarm optimization (CPSO) algorithm, which combines the basic PSO algorithm and chaos theory to optimize the initial weight coefficient of neural PID control. In the experiment, the results prove that the performance of the controller can be effectively improved.
A Generative Adversarial Network with Dual Discriminators for Infrared and Visible Image Fusion Based on Saliency Detection
Authors: Zhang Dazhi , Hou Jilei , Wu Wei , Lu Tao , Zhou Huabing
Published: November 2021

Infrared and visible image fusion needs to preserve both the salient target of the infrared image and the texture details of the visible image. Therefore, an infrared and visible image fusion method based on saliency detection is proposed. Firstly, the saliency map of the infrared image is obtained by saliency detection. Then, the specific loss function and network architecture are designed based on the saliency map to improve the performance of the fusion algorithm. Specifically, the saliency map is normalized to [0, 1], used as a weight map to constrain the loss function. At the same time, the saliency map is binarized to extract salient regions and nonsalient regions. And, a generative adversarial network with dual discriminators is obtained. The two discriminators are used to distinguish the salient regions and the nonsalient regions, respectively, to promote the generator to generate better fusion results. The experimental results show that the fusion results of our method are better than those of the existing methods in both subjective and objective aspects.