bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of diet, lactulose, and metronidazole combinations in the control of pre‐surgical clinical signs in dogs with congenital extrahepatic portosystemic shunts
Authors: Serrano Goncalo , Devriendt Nausikaa , de Rooster Hilde , Paepe Dominique
Published: May 2022

Background

Hepatic supportive diet (HSD), lactulose, and antimicrobials are medical treatments for dogs with congenital extrahepatic portosystemic shunts (cEHPSS). The relative contribution of these treatment components is currently unknown.

Objectives

To determine which treatment combinations are most efficacious in pre‐surgical control of clinical signs of cEHPSS in dogs.

Animals

Thirty‐six dogs with untreated cEHPSS.

Methods

Three‐arm randomized clinical trial. At inclusion (T0), dogs were divided into 3 groups: HSD (n = 12), HSD + lactulose (n = 12), or HSD + metronidazole (n = 12) and received the randomized treatment for 4 weeks (T1) followed by combined treatment of HSD + lactulose + metronidazole for 2 weeks or until cEHPSS attenuation (T2). Clinical score as well as fasting ammonia (FA) and C‐reactive protein (CRP) concentrations were compared among groups and time points.

Results

Thirty‐four dogs were evaluated. Thirty‐four dogs reached T1 and 29 dogs T2. At T1, clinical scores decreased in the HSD + lactulose (n = 11; P = .001), but not in the HSD (n = 8; P = .96) and HSD + metronidazole (n = 10; P = .06) groups. Adding metronidazole to HSD + lactulose (n = 11) did not result in further clinical score improvement (T2; P = 1.000). Moderate and weak correlation between clinical score and FA and clinical score and CRP was present (ρ = .35, P < .001; ρ = .27, P = .01, respectively) with FA decreasing over time on medical treatment (P = .001).

Conclusions and Clinical Importance

Combined HSD + lactulose seems sufficient for pre‐surgical cEHPSS stabilization unlike sole HSD or HSD + metronidazole. Medical treatment of cEHPSS clinical signs decreases FA.
Genetic basis for the evolution of pelvic‐fin brooding, a new mode of reproduction, in a Sulawesian fish
Authors: Montenegro Javier , Fujimoto Shingo , Ansai Satoshi , Nagano Atsushi J. , Sato Masahiro , Maeda Yusuke , Tanaka Rieko , Masengi Kawilarang W. A. , Kimura Ryosuke , Kitano Jun , Yamahira Kazunori
Published: May 2022

Modes of reproduction in animals are diverse, with different modes having evolved independently in multiple lineages across a variety of taxa. However, an understanding of the genomic change driving the transition between different modes of reproduction is limited. Several ricefishes (Adrianichthyidae) on the island of Sulawesi have a unique mode of reproduction called “pelvic‐fin brooding,” wherein females carry externally fertilized eggs until hatching using their pelvic fins. Phylogenomic analysis demonstrated pelvic‐fin brooders to have evolved at least twice in two distant clades of the Adrianichthyidae. We investigated the genetic architecture of the evolution of this unique mode of reproduction. Morphological analyses and laboratory observations revealed that females of pelvic‐fin brooders have longer pelvic fins and a deeper abdominal concavity, and that they can carry an egg clutch for longer than nonbrooding adrianichthyids, suggesting that these traits play important roles in this reproductive mode. Quantitative trait locus mapping using a cross between a pelvic‐fin brooder Oryzias eversi and a nonbrooding O. dopingdopingensis reveals different traits involved in pelvic‐fin brooding to be controlled by different loci on different chromosomes. Genomic analyses of admixture detected no signatures of introgression between two lineages with pelvic‐fin brooders, indicating that introgression is unlikely to be responsible for repeated evolution of pelvic‐fin brooding. These findings suggest that multiple independent mutations may have contributed to the convergent evolution of this novel mode of reproduction.
Nurses' experiences of providing transcultural nursing care to minority patients in Yunnan province: A descriptive qualitative study
Authors: Tong Ling , Tong Tong , Noji Ariko , Kitaike Tadashi , Wang Xingli
Published: May 2022

Cultural competency is essential for providing transcultural nursing care. This qualitative study explores nurses' experiences of providing transcultural nursing care to patients from ethnic minority in Yunnan province, China, with the aim of supplementing and enriching previous quantitative research. Yunnan is home to 25 ethnic minorities with the highest proportion (33.1%) of people from ethnic minorities in China. A descriptive qualitative method was used to describe the experiences of 12 nurses. Data were collected in October 2020 through semistructured interviews and analyzed using conventional content analysis methods. Three themes were generated, including limitations of resources to provide transcultural nursing care, challenges in providing transcultural nursing care, and concerns about the quality of nursing care. The results suggest that there is scope for improving cultural competence of nurses in Yunnan through education that would enable them to provide high‐quality transcultural nursing care. Training topics could include transcultural knowledge, cultural sensitivity, minority languages, and immersive multicultural experiences. Other suggested improvements include a resource room for transcultural care, the accommodation of religious and dietary needs, and dedicated staff who lead transcultural care in hospitals.
The metacognitive model of rumination and depression in postpartum women
Authors: Petrošanec Maja , Brekalo Maja , Nakić Radoš Sandra
Published: May 2022

Objectives

The metacognitive model of rumination and depression (Papageorgiou & Wells, 2003, Cognitive Therapy and Research, 27, 261) postulates that beliefs that perseverative negative thinking, i.e. rumination, will help solve problems contributing to rumination. However, this activates negative beliefs about the uncontrollability and social consequences of ruminations, which exacerbate depression. The metacognitive model has been well‐supported but with some inconsistencies in specific pathways. It has also not yet been tested for postpartum depression (PPD). Therefore, this study aimed to examine the relations between the metacognitive model of rumination and depression when applied to PPD symptoms and to compare it with the cognitive model of depression.

Design

This is a cross‐sectional study.

Method

Postpartum mothers (N = 603) participated in an online study in their first postpartum year. They completed the Edinburgh Postnatal Depression Scale (EPDS), Postnatal Negative Thoughts Questionnaire (PNTQ), Ruminative Responses Scale (RRS), Positive Beliefs about Rumination Scale (PBRS) and Negative Beliefs about Rumination Scale (NBRS).

Results

A path analysis revealed that the model had an excellent fit to the data. Specifically, positive beliefs about rumination predicted engagement in rumination that, in turn, predicted PPD, both directly and indirectly, through negative beliefs about uncontrollability and the social consequences of rumination. A cognitive model with ruminations as a partial mediator between negative postpartum thoughts and PPD symptoms also had a good fit.

Conclusion

The findings of this study contribute to the understanding of the cognitive and metacognitive mechanisms underlying postpartum depression, which might be similar to depression in general and have important implications for treatment strategies.
Can precise numbers boost energy efficiency?
Authors: Bansal Saurabh , Muthulingam Suresh
Published: May 2022

The United States has long recognized the potential of improved energy efficiency to profitably reduce energy consumption in manufacturing. The Department of Energy (DOE) has also recognized the potential and initiated several programs to enhance energy efficiency in manufacturing. Despite the attention, studies point out that many energy‐efficiency opportunities remain unexploited. Increasingly, scholars have emphasized that behavioral factors could facilitate the uptake of energy‐efficiency practices. Accordingly, we adopt a behavioral perspective and investigate whether precision (a hitherto unexplored behavioral factor) affects the adoption of energy‐efficiency practices. Specifically, we examine whether the implementation of energy‐efficiency practices depends on whether the costs and savings associated with such practices are presented as precise (e.g., $20,431) or round (e.g., $20,400) numbers. First, we explore the impact of precision with econometric analysis using data on energy‐efficiency recommendations made by the DOE to small‐ and medium‐sized manufacturing firms. Our econometric analysis indicates that energy‐efficiency recommendations with precise cost and precise saving exhibit higher adoption rates as compared to other recommendations. Next, we use individual interactions with managers and laboratory experiments with managers and students to replicate and isolate the precision effects. Then, we elicit the mechanism by which precision affects the adoption of energy‐efficiency initiatives. We find that credibility serves as a key mechanism that drives the precision effect. Our findings suggest that credibility‐enhancing cues such as precision can be leveraged to increase the uptake of energy efficiency and possibly other process improvement practices.
Pathos in ECCs during COVID-19: Discourse Analysis Based on Sino-A Companies
Authors: Xiong Qin , Xu Yichun , Yang Tongying , Zhuang Meixin , Peng Yunnan , Zhou Pingrong , Wu Liuxian , Chen Sitong , Fan Yuqing
Published: May 2022

This study compares the pathos strategies of Chinese and U.S. companies in the earnings conference calls. The earnings conference calls (ECCs) are important channels for listed companies to voluntarily present their disclosure. In the face of the covid crisis, different companies use different pathos strategies when summarizing the past operating conditions and expressing future development trends in ECCs. Based on the self-built corpus, this paper makes a comparative analysis of pathos strategies in the ECCs texts of Chinese and American companies in 2020 and 2021. We use the sentiment lexicon method and TF-IDF algorithm to calculate the sentiment index and keywords. The two parallel corpora show great differences in the following four aspects: emotional attitude, discourse perspective, ecological awareness, and actions. This research broadens the pathos research contents to the earnings conference calls and makes a certain theoretical contribution to the financial text research from the discourse perspective. The findings also help listed companies to further study how to use pathos in the ECCs to shape a good corporate image, enhance the audience’s perception of the positive image of the companies and attract more investors.
Identification of Genes Required for Swarming Motility in
Bacillus subtilis
Using Transposon Mutagenesis and High-Throughput Sequencing (TnSeq)
Authors: Sanchez Sandra , Snider Elizabeth V. , Wang Xindan , Kearns Daniel B.
Published: May 2022

In TnSeq, transposons are randomly inserted throughout the chromosome at a population level, but insertions that disrupt genes of essential function cause strains that carry them to fall out of the population and appear underrepresented at the sequence level. Here, we apply TnSeq to the nonessential phenotype of motility in
B. subtilis
and spatially select for cells proficient in swarming.
Transcriptional Divergence Underpinning Sexual Development in the Fungal Class Sordariomycetes
Authors: Kim Wonyong , Wang Zheng , Kim Hyeonjae , Pham Kasey , Tu Yujia , Townsend Jeffrey P. , Trail Frances
Published: May 2022

The fungal class Sordariomycetes includes numerous important plant and animal pathogens. It also provides model systems for studying fungal fruiting body development, as its members develop fruiting bodies with a few well-characterized tissue types on common growth media and have rich genomic resources that enable comparative and functional analyses.
Role of the Heme Activator Protein Complex in the Sexual Development of Cryptococcus neoformans
Authors: Kim Jin-Young , Bahn Yong-Sun
Published: May 2022

Cryptococcus neoformans
isolates are of two mating types:
MAT
α strains, which are predominant, and
MAT
a
strains, isolated from the sub-Saharan African region, where cryptococcosis is most abundant and severe. Here, we demonstrated the function of the
CCAAT
-binding HAP complex (Hap2/3/5/X) as a transcriptional repressor of Cpk1 pathway-related genes in cells of both mating types.
Single-capture ultra-widefield guided swept-source optical coherence tomography in the management of rhegmatogenous retinal detachment and associated peripheral vitreoretinal pathology
Authors: Lee Wei Wei , Muni Rajeev H
Published: May 2022

Background/Aim

To assess the utility of single-capture ultra-widefield confocal scanning laser ophthalmoscope with integrated swept-source optical coherence tomography (UWF-SS-OCT) in the management of rhegmatogenous retinal detachment (RRD) and associated peripheral pathology.

Methods

138 eyes of 101 consecutive patients with RRD and/or associated peripheral pathology at a vitreoretinal practice in Toronto, Canada between December 2020 and February 2021 that had UWF-SS-OCT with interpretable scans were included. A 200 degree fundus photograph was used to navigate a built-in 100 kHz UWF-SS-OCT to image pathology with a high-density 23 mm line scan and/or volume scan. Main outcomes were the microstructural details of the RRD and/or associated peripheral pathology and longitudinal assessment of response to laser retinopexy and cryopexy with UWF-SS-OCT.

Results

56.5% (78/138) of eyes had prior or current RRD (6 eyes had combined retinoschisis detachment), 31.1% (43/138) had retinal tears/holes and 14.5% (20/138) had lattice degeneration. UWF-SS-OCT impacted management and was useful in determining the presence or absence of vitreoretinal traction with retinal holes or tears. It was also helpful in differentiating retinal detachment, schisis-detachment and retinoschisis in cases where it was not apparent clinically. There were also several novel findings such as vitreous adhesion at the posterior border of a retinal dialysis. UWF-SS-OCT was performed longitudinally before and immediately following laser retinopexy (n=22) and cryopexy (n=4). Microstructural changes were consistent with chorioretinal adhesion immediately following laser versus postprocedure day 6 following cryopexy.

Conclusion

Single-capture UWF-SS-OCT enabled novel insights in RRD and associated peripheral vitreoretinal pathology.
NEXUS BETWEEN ENERGY CONSUMPTION, FINANCIAL MARKET DEVELOPMENT, AND URBANIZATION: EVIDENCE FROM EMERGING ECONOMY
Authors: SHERAZ MUHAMMAD , XU DEYI , ULLAH ATTA , AHMED JALEEL , JIANG QISHENG
Published: May 2022

This empirical study contributes to extend the literature on the nexus between energy consumption, financial development, economic growth, and urbanization in Pakistan. We use annual time series data covering the year from 1970 to 2018 and employ the Autoregressive Distributive lag (ARDL) and Granger causality test. The results of the ARDL-bound test confirm cointegration between the variables, as the null hypothesis of no cointegration is rejected. Further, the long-run results show that financial development and urbanization have positive correlation with energy demand. However, economic growth is negatively correlated with energy consumption. Similarly, in the short run, the financial market and urbanization stimulated energy demand. However, economic growth is insignificant with energy consumption. Besides that, a bidirectional relationship is noted between urbanization and energy consumption. Based on the finding, this empirical study suggests that policymakers and government should revisit their policies regarding economic growth, explore alternative sources of energy, and try to shift towards renewable energy, which is cheaper and eco-friendly.
Synthesis, characterizations of D32DMBC-crystals for applications in biomedical, tribological, electronic filters and in device constructions by theory and practice
Authors: Maalmarugan J. , Divya R. , Ganesan H. , Patel R. P. , Singh Atul Kumar , Kumar Shashank , Vimalan M. , Kannan K. Senthil , Dineshkumar B.
Published: May 2022

The single crystalline diethyl 3,3[Formula: see text]-[(2,4-dichlorophenyl)methylidene]bis(1H-indole-2-carboxylate) (D32DMBC) samples are fully grown-up in a proper and in a successful manner by the prevailing slowly evaporating methodology. The lattice cell frameworks by XRD modus operandi also corroborated that the D32DMBC crystal system is monoclinic in nature. The structural properties by a conceptual way authenticate the elucidation and also the proper vindication for bond parameters. The nano influx is 3.2768 micron and the film-coated influx of 2.9977 microns as a mid-value between the macro as well as the nano assessment is suitable for electronic filters by D32DMBC crystals, and also used for tribological-coated utility as well as in frequency multipliers. Diabetes mellitus is the repetitive disease in the way of life and sustaining approach of D32DMBC — organic crystals are properly, accurately experimented by the use of the software pertaining to the D32DMBC by docking effect. The affinity inhibitory activity of A74DME and exploratory molecule of D32DMBC are −8.1[Formula: see text]kJ/mole and −8.4[Formula: see text]kJ/mole correspondingly. The computational effect of Hirshfeld portrays the internal/external fields as well as the electron higher/lower profile in the shape index proviso for optical utility identification and proper electronic utility.
Attached and associated primes of local cohomology modules via linkage
Authors: Jahangiri Maryam , Sayyari Khadijeh
Published: May 2022

Let [Formula: see text] be a commutative Noetherian ring and [Formula: see text] be a finitely generated [Formula: see text]-module. Considering the new concept of linkage of ideals over a module, we study attached and associated prime ideals and cofiniteness of local cohomology modules of [Formula: see text] with respect to some linked ideals over it.
Characterizations of weighted core inverses in rings with involution
Authors: Li Tingting
Published: May 2022

Let [Formula: see text] be a unital ring with involution. The author investigates the characterizations and representations of weighted core inverse of an element in [Formula: see text] by idempotents and units. Let [Formula: see text], [Formula: see text] be an invertible Hermitian element and [Formula: see text]. We prove that [Formula: see text] is [Formula: see text]-core invertible if and only if there exists an element (or an idempotent) [Formula: see text] such that [Formula: see text], [Formula: see text] and [Formula: see text] (or [Formula: see text]) is invertible. As a consequence, for two invertible Hermitian elements [Formula: see text] and [Formula: see text] in [Formula: see text], [Formula: see text] is weighted-[Formula: see text] with respect to [Formula: see text] if and only if there exists an element (or an idempotent) [Formula: see text] such that [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] (or [Formula: see text]) is invertible. These results generalize and improve conclusions in [T. T. Li and J. L. Chen, Characterizations of core and dual core inverses in rings with involution, Linear Multilinear Algebra 66 (2018) 717–730].
HOW EVENT-DRIVEN INTERMITTENT CONTROL WITH UNSTABLE OPEN & CLOSED-LOOP DYNAMICS LEAD TO BOUNDED RESPONSE IN HUMAN POSTURAL CONTROL
Authors: DASH R. , PALANTHANDALAM-MADAPUSI H.
Published: May 2022

Event-driven intermittent feedback control is a form of feedback control in which the variables of interest are observed continuously, but corrective control action is only initiated intermittently based on certain threshold criteria. According to the literature, the human central nervous system (CNS) adopts event-driven intermittent control strategy while performing various tasks such as stabilize upright posture, control of saccadic eye movement or while driving. In this paper, we examine whether event-driven intermittent control when applied to a system wherein both open-loop dynamics and continuous closed-loop dynamics are unstable can yield bounded overall response (as has been observed in some situations of human postural control). With the help of both illustrative example simulations and experimental results from a table-top experiment inspired from human postural control, we show that this is indeed possible. We further provide insights using passivity theory and phase space analysis. Our analysis shows that bounded response is possible even if the phase trajectories of unstable open-loop and unstable closed-loop systems do not diverge in opposite directions or when Hurwitz convex combinations are not feasible. This study does not necessitate any assumption regarding the stabilizability or passivity of any of the constituent subsystems.
New Image Encryption Method using Multiple Chaotic Map Computation and Irregular Diffusion Process
Authors: Kapinesh G. , Kumaran K. Sachin , Gayatri Konduru , Mohan Thilak , Thanikaiselvan V. , Subashanthini S. , Amirtharajan R.
Published: May 2022

With technological advancements, information transfer has become entirely digital, with images serving as a common source of sensitive data. This information must be securely transferred over the internet. This is where image encryption comes into play, and it has been proven to be a very successful method of data transfer in various sectors. In this paper, an efficient algorithm for image encryption is developed where pixel scrambling plays a key role. The encryption method begins with pixel scrambling, which is accomplished by first developing an algorithm for the chaotic map to generate a sequence key. The encrypted image is obtained by applying the generated sequence key to the original image, which is further encrypted using various mathematical computations, such as row and column-wise bit XOR operations, as detailed in the paper. The technique consists of many levels of encryption for securely transmitting data that is vulnerable to cyberattacks. The experimental results demonstrate that the proposed method is efficient.
A Hydro-Economic Model to Support Water Scarcity
Authors: Frota Renata Locarno , Silva Samíria Maria Oliveira , de Assis Souza Filho Francisco , Porto Victor Costa
Published: May 2022

Climate variability is reflected in water affluence that directly impacts the availability and level of water in reservoirs. Economic instruments, such as tariffs, are increasingly being used to promote the rational use of water. This study offers a floating rate model for charging raw water as a function of the reservoir level. The model was designed in the Jaguaribe–Metropolitan System, a place characterized by water-use conflicts during water scarcity. The model was developed as a function of the unit payment capacity (UPC) and drought states of the hydrographic regions. We applied the free software R and PSO optimization package to define the optimal UPC fraction and evaluated the model sensitivity using a synthetic series generated with the Markov chain method. Consequently, we observed that comfortable, alert, and critical situation levels predominated in the sensitivity analysis, and the average collections paid for administration, operation, and maintenance (AO&M) costs. In some cases, a collection surplus that can be managed through a financial fund to finance the system in periods of critical shortage is generated.
Facial Construction of CePO4-Reduced Graphene Oxide Composite for Enhanced Electrochemical Detection of Dopamine and Acetaminophen
Authors: Zhu Kai , Chao Xiao-Feng , Liu Yaya , Luo Yu-Hui , Zhang Qing-Yu , Zhao Zi-An , Zhu Qian , Chen Feng-Yu , Zhang Dong-En
Published: May 2022

A serial of cerium phosphate/reduced graphene oxide (CePO4-rGO) composites were synthesized for the first time by one-pot hydrothermal method. Structural analyses revealed that flaky CePO4 and few-layer rGO were composited homogeneously. It is found that rGO can greatly enhance the conductivity and the adsorption capacity of the composite. With these advantages, the constructed composites were used for electrochemical detection of dopamine (DA) and acetaminophen (APAP). Further studies show that the loading amount of rGO was also very important. When CePO4−0.6rGO was used, wide linear ranges of 1.2−50 μM for DA and 0.5−30 μM for APAP can be obtained, respectively. The detection limits of DA and APAP were 0.013 μM and 0.025 μM with high sensitivities of 25.58 μA μM−1 cm−2 and 13.30 μA μM−1 cm−2, respectively. Moreover, the modified electrode also has high selectivity, good stability and satisfactory reproducibility. In addition, the modified electrode was also successfully applied to detect DA and APAP in real urine samples. This work provides a simple method for preparing new electrode materials for detecting small biomolecules.
Efficient Analytical Model for Time-Dependent Behavior of Layered Functionally Graded Plates with Viscoelastic Interlayers
Authors: Liu Pengfei , Wu Peng , Wu Zhimin
Published: May 2022

Layered functionally graded (FG) plate plays an important role in engineering constructions. In this work, an efficient analytical solution is proposed to investigate the time-dependent characters of layered FG plate with viscoelastic interlayers, in which each FG layer is described by the elasticity theory, and the interlayer viscoelasticity is simulated by the generalized Maxwell model. The constitutive equations in the interlayer are simplified, and then, the analytical solutions of stresses and displacements for the layered FG plate are solved by virtue of the efficient recursive matrix method. Some examples are analyzed to investigate the influences of geometric and material characteristics on the long-term behaviors for the FG plate.
Bacterially Converted Oat Active Ingredients Enhances Antioxidative and Anti-UVB Photoaging Activities
Authors: Lee Jennifer K. , Kim Inyong , Jeon Eun-Kyeong , Ha Jung-Heun , Hwang Cher-Won , Kim Jin-Chul , Yang Woong-Suk , Choi Hyunju , Kim Hee-Do , Kim Cheorl-Ho
Published: May 2022

Oat (Avena sativa L.) is one of the most widely consumed cereal grains worldwide and is considered as an important cereal crop with high nutritional value and potential health benefits. With different bacterial strains, fermented oat extracts were examined for the antioxidant and antiaging effects on the skin after optimization of extraction conditions. Fermented oats contained high avenanthramides, and its function was investigated on matrix metalloproteinase-1 and collagen expression with human dermal fibroblast cells. After fractionation, butanol layers showed the highest avenanthramides contents. Therefore, the microbial fermentation of oats enhances the quality and content of functional ingredients of oats, which provide natural dietary supplements, antioxidants, and antiaging agents.
EEG and ECG Power Spectrum Analysis of Sedative Effects on Propofol-Anesthetized Rats with Electroacupuncture
Authors: Zhu Shu-ying , Ma Jin , Wang Ze-ru , Chai Qing , Yan Liang-chun , Song Jun , Shu Jin-jun , Wang Huai-ming , Chen Yi-ding
Published: May 2022

Background. In previous studies, electroacupuncture (EA) with 2/15 Hz has been shown to enhance the sedative effects in general anesthesia patients. Central lateral thalamic stimulation of 50 Hz showed an arousal effect in macaques. Therefore, it is worth studying the sedative effect of EA at peripheral acupoints with different frequencies, especially the frequency of around 50 Hz. Methods. Rats were anesthetized under the constant infusion of propofol and EA at Zusanli (ST36) and Neiguan (PC6) locations. Electroencephalography (EEG) and heart rate were continuously recorded before and after the intervention by EA in the C group (control), LEA group (low-frequency group, 2/15 Hz diffuse/dense wave EA stimulation), and HEA group (high-frequency group, 50 Hz stimulation). Results. In the LEA group, a significant increase in the power of the delta component with a decrease in the alpha component

p
<
0.05

was observed after EA stimulation. In the HEA group, significant increases in the powers of alpha and beta components of EEG

p
<
0.05

and a decrease in the delta component of EEG were observed

p
<
0.05

. The phenomenon is also shown in full-frequency waves. In addition, a significant decrease in the low-frequency/high-frequency ratio parameter was observed in the LEA group. Conclusions. EA at bilateral ST36 and PC6 can enhance the sedative effects of propofol anesthesia in low-frequency stimulation but lighten the sedative effects in high-frequency (50 Hz) stimulation. The sympathetic-vagal balance was affected due to low-frequency EA.
Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis
Authors: Li ZhengMin
Published: May 2022

Brand image assessment is a key step to reasonably quantify the value of a brand and has far-reaching significance for improving the competitiveness of an enterprise. With the rapid development of Internet technology, traditional questionnaires can no longer meet the current needs of brand image assessment. In this environment, the huge amount of fragmented consumer topic data provides a rich data resource and new research ideas for brand image assessment. Therefore, a brand image assessment method based on consumer sentiment analysis is proposed. First, a topic-based brand image cognitive label extraction method is proposed by setting language rules, aggregation rules, and ranking rules according to the characteristics of online topic data. Then, the fusion of cognitive labels and deep features is performed by fusing the deep features extracted from word vectors. Finally, a supervised learning support vector machine is selected as the sentiment classification model. The experimental results show that based on the obtained important cognitive labels, enterprises are able to better understand the unique attributes that consumers have for the brand; the feature fusion approach is better evaluated and can accurately reflect consumers’ views on brand image and quantified as brand score.
SWOT: A Hybrid Hardware-Based Approach for Robust Fault-Tolerant Framework in a Smart Day Care
Authors: Sharma Sheetal , Gupta Kamali , Gupta Deepali , Juneja Sapna , Turabieh Hamza , Sharma Subhash
Published: May 2022

Internet of Things (IoT) has made its imprint on every part of the globe today. Offices, households, factories, industries, agriculture, and day cares, among other places, have all upgraded to their innovative version. It has propounded great potential in various real-world applications. The topical trends in the adoption of IoT have also highlighted the challenges associated with the performance of IoT devices. IoT devices require continuous monitoring for any performance degradation. A bibliometric analysis of 587 papers is undertaken on the Scopus database to spot the increasing interest of researchers in fault detection in IoT. A smart system’s or an IoT-based space’s usability, efficiency, and performance are all built on a fault-tolerant approach and interruption-free smooth operations. The investigation was carried out based on the literature to determine the need for a pro-fault detection system in an IoT-enabled day care. Kids’ security and safety are highly dependent on the hassle-free working of smart devices. It’s overhead to carry out device tracking manually along with demanding kids. This issue needs to be addressed to uphold the smart day care’s trustworthiness. A pro-fault detection approach can be applied to resolve the aforementioned issue to enhance the smart day care’s performance and efficiency. This paper proposes SWOT, a novel hybrid hardware-based approach in an IoT-based day care to safeguard the proper working of all IoT devices deployed. It screens every single appliance associated with a smart day care to detect the faulty appliance beforehand. The solution will assist the day care staff in providing the best care and security to their kids without any overhead. SWOT evaluation proved that it is an economical and efficient approach in detecting faults, accurately, swiftly, and with a low false alarm ratio.
The Cultural Value Validity of Digital Media Art Based on Deep Learning Network Model
Authors: Ruan Yuan
Published: May 2022

The development of Internet digital media technology has enabled more works of different artistic styles to be discovered, learned, and appreciated by art lovers. Artists generate new creative ideas from different artistic painting styles, resulting in many artistic creation styles that are mixed with different artistic creation techniques. However, in the face of an increasing number of digital media art works, the identification of artistic and cultural value is mainly done manually by professionals, which costs a lot of human and financial resources. Therefore, it is of great practical significance to study how to efficiently and accurately classify various types of artistic images to help users select images that meet their needs. In order to solve this problem, this paper proposes a deep learning neural network model based on a dual-core compression activation module. The convolution kernels of different sizes in one module are used to extract the overall features and local details of the image, and another module is used to achieve the main goal. The enhancement of features and the suppression of irrelevant features realize the evaluation of artistic and cultural value. The experimental results show that, compared with mainstream neural network models and traditional classification algorithms, the proposed algorithm has higher classification accuracy and higher recognition and classification efficiency.
Associations among Orthodontic History, Psychological Status, and Temporomandibular-Related Quality of Life: A Cross-Sectional Study
Authors: Liu Jia-Qi , Wan Yi-Dan , Xie Tian , Miao Tao , Wang Jun , Xiong Xin
Published: May 2022

Objectives. This cross-sectional study aimed to evaluate the associations among orthodontic history, psychological status, and temporomandibular-related quality of life. Methods. A questionnaire was developed and distributed to students in a local college, containing questions about demographic information, the Patient Health Questionnaire-4 (PHQ-4), the Fonseca anamnestic index, and the Oral Health Impact Profile for Temporomandibular Disorders (OHIP-TMD). The respondents were divided into with orthodontic history (OS) group and without OS group. Binary logistic regression and multiple linear regression were performed for statistical analysis. Results. A total of 531 valid questionnaires were collected, covering 161 participants with OS and 370 participants without OS. No statistically significant differences were observed in the scores of PHQ-4 between the two groups. There was statistical difference in the prevalence of TMD (with OS group, 54.66%; without OS group, 40.81%) and the mean value ( ± standard deviations) of the scores of OHIP-TMD (with OS group, 9.64 ± 12.36; without OS group, 6.64 ± 10.79) (

p
<
0.05

). After adjusting confounding factors, participants with OS have worse temporomandibular-related quality of life and a higher risk of having TMD than the participants without OS. Conclusions. Orthodontic history was related with the higher prevalence of TMD and worse temporomandibular-related quality of life, but not related with psychological distress, and the cause-and-effect relationship needs further exploration.
Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
Authors: Xu Lin , Zhang Jingxiao , Yuan Yin , Zheng Junwei , Philbin Simon P. , Guo Brian H. W. , Jin Ruoyu
Published: May 2022

This study investigates the mechanism of digital linguistic landscapes in enabling engineering education for smart construction according to the educational dimensions of A (ability), S (skill), and K (knowledge). A questionnaire survey was conducted based on the core concepts of the informative dimension and symbolic dimension in digital language landscape as well as the ability dimension, knowledge dimension, and skill dimension in engineering education. Structural equation modeling (SEM) was used as the test method. The results of the research demonstrate that the informative dimension and symbolic dimension are two main aspects of DLL in education of engineering students for smart construction. Additionally, DLL has a significant positive impact on the ability, knowledge, and skill education of engineering students for smart construction. The research has theoretical and practical significance, as it not only enriches research on the relationship between DLL and engineering education for smart construction but also expands the theoretical understanding of engineering education from the perspective of linguistics. Furthermore, the study explores the path of the practical application of digital language landscape to engineering education for smart construction.
Analysis on the Evaluation of Airport Intelligence Level and Its Obstacle Diagnosis Based on DPSIR-TOPSIS Model
Authors: He Hang , Ding Haining , Liu Shuyue , Li Shanshan
Published: May 2022

Combined with the actual situation of smart airport construction, five listed airports in China are used as research objects, and based on the Driving Force-Pressure-State-Impact-Response (DPSIR) conceptual model, 24 indicators were selected to form the evaluation system. The Analytic Hierarchy Process (AHP) method and entropy weight method were used to assign comprehensive weights to the indicators, and then, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method was introduced to evaluate the level of intelligence, combined with the coupling coordination model to analyze the relationship between the two subsystems, by introducing the obstacle model to diagnose and analyze the influencing factors; finally, based on the analysis results, optimization suggestions are provided for the airport intelligence level. The results show that the intelligence level of each airport is between high (IV) and average (II). The pairwise coupling degree of each subsystem is higher than 0.91 and presents a benign coupling. The airport intelligence level is mainly hindered by the proportion of nonaviation revenue, the average travel time of passengers, and the regional fiscal revenue growth rate. The research results are of great significance to the construction of smart airport and the development of regional economy and transportation.
Research on Town Ecological Landscape Planning and Governance Based on Fuzzy Optimization Method of Internet of Things Technology
Authors: Ying Yu , Jiang Kunru , Ren Meiqi
Published: May 2022

The current town ecological landscape planning and governance methods are mainly based on the high quality, high energy-saving, and environmental protection effect of the town ecological landscape. How to innovate the town ecological landscape planning and governance process with the help of Internet of things technology and fuzzy optimization method is the current development trend. Based on this, this paper studies the application of Internet of things technology in town ecological landscape planning and management. Firstly, a small town ecological landscape evaluation model based on fuzzy optimization algorithm is proposed. Combined with multivariate matrix transformation function, the authenticity data of ecological landscape are simulated. The original analysis of different types of small town ecological landscape is realized by selecting the multivariate extremum of autocorrelation function curve in the process of planning and governance. Secondly, in the simulation evaluation link, the fuzzy evaluation method is adopted and improved. At the same time, the improved three-dimensional original planning governance model is used to comprehensively analyze the simulation results of three-dimensional landscape planning governance. Finally, by designing fuzzy simulation experiments, the application effects of different Internet of things technologies in town ecological landscape planning and governance are analyzed. The experimental results show that the correlation data indicators of fuzzy optimization methods corresponding to different Internet of things technologies are very different. The application effect of different types of Internet of things technology in ecological landscape planning and governance of small towns is targeted and shows strong regularity.
Mathematical Model and Analysis on the Impact of Awareness Campaign and Asymptomatic Human Immigrants in the Transmission of COVID‐19
Authors: Anteneh Alemzewde Ayalew , Bazezew Yezbalem Molla , Palanisamy Shanmugasundaram
Published: May 2022

In this study, an autonomous type deterministic nonlinear mathematical model that explains the transmission dynamics of COVID‐19 is proposed and analyzed by considering awareness campaign between humans and infectives of COVID‐19 asymptomatic human immigrants. Unlike some of other previous model studies about this disease, we have taken into account the impact of awareness c between humans and infectives of COVID‐19 asymptomatic human immigrants on COVID‐19 transmission. The existence and uniqueness of model solutions are proved using the fundamental existence and uniqueness theorem. We also showed positivity and the invariant region of the model system with initial conditions in a certain meaningful set. The model exhibits two equilibria: disease (COVID‐19) free and COVID‐19 persistent equilibrium points and also the basic reproduction number, R0 which is derived via the help of next generation approach. Our analytical analysis showed that disease‐free equilibrium point is obtained only in the absence of asymptomatic COVID‐19 human immigrants and disease (COVID‐19) in the population. Moreover, local stability of disease‐free equilibrium point is verified via the help of Jacobian and Hurwitz criteria, and the global stability is verified using Castillo‐Chavez and Song approach. The disease‐free equilibrium point is both locally and globally asymptotically stable whenever R0 < 1, so that disease dies out in the population. If  R0 > 1, then disease‐free equilibrium point is unstable while the endemic equilibrium point exists and stable, which implies the disease persist and reinvasion will occur within a population. Furthermore, sensitivity analysis of the basic reproduction number, R0 with respect to model parameters, is computed to identify the most influential parameters in transmission as well as in the control of COVID‐19. Finally, some numerical simulations are illustrated to verify the theoretical results of the model.
Modeling and Simulation in an Aircraft Safety Design Based on a Hybrid AHP and FCA Algorithm
Authors: Wang Miaosen , Xue Yuan , Wang Kang
Published: May 2022

Throughout the world, the reliability-based approach to safety design of aircraft systems is quite mature and widely used. However, there are still shortcomings in the reliability-based aircraft system safety analysis method. It cannot dynamically analyze the accident evolution process and lack consideration of the complex situation of multifactor coupling. On the basis of the original aircraft system safety analysis method, this paper innovatively proposes a functional hazard analysis (FHA) method based on the analytic hierarchy process (AHP) and multifactor fuzzy comprehensive assessment (FCA). The purpose is to improve the objectivity and quantification of the FHA method in the safety design of aircraft systems. At the same time, in the terminal airworthiness verification, this paper proposes a repeatable and controllable virtual test flight verification method, which aims to reduce the cost and cycle of the terminal airworthiness verification and expand the coverage of the envelope verification. Finally, combined with the clauses in MIL-HDBK-516B, a case calculation is carried out to verify the feasibility of the proposed method.
Dance Performance in New Rural Areas Based on 3D Image Reconstruction Technology
Authors: Xie Li
Published: May 2022

Because of the special ecological environment and humanistic atmosphere in new rural areas, excellent regional dance art has been created. Through computer-aided technology, the essence of dance art in rural areas can be reconstructed and displayed. Therefore, based on 3D image reconstruction technology, this paper obtains the dance data of southeast Guangxi and puts forward the dance display scheme of new rural areas. Through acquisition of image information and image matching algorithm, the dance pose is estimated, and the extracted dance sequence is simplified by 3D reconstruction and mapped by texture. In addition, extraction effect of data set, comparison of dance similarity, and user authenticity score were used to test the five types of dance, which provides ideas for the inheritance and development of traditional folk dance culture.
Kinematic and Radiographic Evaluation of Acromioclavicular Reconstruction with a Synthetic Ligament
Authors: Escamilla Rafael F. , Poage Chad , Brotherton Scott , MacLeod Toran D. , Leddon Charles , Andrews James R.
Published: May 2022

Purpose. The optimal surgical technique for unstable acromioclavicular (AC) and coracoclavicular (CC) joint injuries has not yet been established. The biomechanical and radiographic effect of the LockDown device, a synthetic ligament for AC joint reconstruction, was evaluated to assess the optimal surgical technique for unstable AC and CC joint injuries. It was hypothesized that the LockDown device would restore AC joint kinematics and radiographic stability to near native values. Methods. Three fresh frozen cadaveric torsos (6 shoulders) modelled CC joint motion in their “native,” “severed,” and “reconstructed” states. The effects of stressed and unstressed native, severed, and reconstructed conditions on AC separation and CC distances in anteroposterior, mediolateral, and inferosuperior directions during shoulder abduction, flexion, and scaption were assessed. The analysis of variance (

p

, 0.05) was used to compare CC distance and peak AC distance in anteroposterior, mediolateral, and inferosuperior directions during shoulder flexion, abduction, and scaption measurements among native, severed, and reconstructed states with unstressed and stressed Zanca radiographic views. Results. From radiographic analyses, the CC distance was significantly greater (

p
=
0.001

) across the surgical state in stressed versus unstressed views. Mean difference between stressed and unstressed views was 1.8 mm in native state, 4.1 mm in severed state, and 0.9 mm in reconstructed state. The CC distance was significantly greater in the “severed” state (10.4 mm unstressed; 14.5 mm stressed) compared to the “native” state (

p
=
0.016

) (6.5 mm unstressed; 8.3 mm stressed) and compared to the “reconstructed” state (

p
=
0.005

) (3.1 mm unstressed; 4.0 mm stressed) and significantly less (

p
=
0.008

) in the “reconstructed” state compared to the “native” state. CC distances decreased from native to reconstructed, an average of 3.3 mm for unstressed and 4.3 mm for stressed. On average, peak AC joint separation distance in anteroposterior, mediolateral, and inferosuperior directions during shoulder-abduction, flexion, and scaption was shown to be restored to 11.5 mm of native values after reconstruction with LockDown device. Conclusion. Reconstruction of AC joint with LockDown synthetic ligament restores motion of clavicle and acromion to near native values, thereby decreasing scapular dyskinesis and enhancing AC joint stability.