bluuebunny/crossref_metadata_2025 huggingface dataset:
Immunogenicity of COVID‐19 vaccines in chronic liver disease patients and liver transplant recipients: A systematic review and meta‐analysis
Authors: Luo De , Chen Xinpei , Du Juan , Mei Bingjie , Wang Ankang , Kuang Fei , Fang Cheng , Gan Yu , Peng Fangyi , Yang Xiaoli , Dahmen Uta , Li Bo , Song Su
Published: August 2022

Background and aims

Chronic liver disease (CLD) patients and liver transplant (LT) recipients have an increased risk of morbidity and mortality from coronavirus disease 2019 (COVID‐19). The immunogenicity of COVID‐19 vaccines in CLD patients and LT recipients is poorly understood. The present study aimed to evaluate the immunogenicity of COVID‐19 vaccines in CLD patients and LT recipients.

Methods

We searched electronic databases for eligible studies. Two reviewers independently conducted the literature search, extracted the data and assessed the risk of bias of included studies. The rates of detectable immune response were pooled from single‐arm studies. For comparative studies, we compared the rates of detectable immune response between patients and healthy controls. The meta‐analysis was conducted using the Stata software with a random‐effects model.

Results

In total, 19 observational studies involving 4191 participants met the inclusion criteria. The pooled rates of detectable humoral immune response after two doses of COVID‐19 vaccination in CLD patients and LT recipients were 95% (95% confidence interval [CI] = 88%–99%) and 66% (95% CI = 57%–74%) respectively. After two doses of vaccination, the humoral immune response rate was similar in CLD patients and healthy controls (risk ratio [RR] = 0.96; 95% CI = 0.90–1.02; p = .14). In contrast, LT recipients had a lower humoral immune response rate after two doses of vaccination than healthy controls (RR = 0.68; 95% CI = 0.59–0.77; p < .01).

Conclusions

Our meta‐analysis demonstrated that COVID‐19 vaccination induced strong humoral immune responses in CLD patients but poor humoral immune responses in LT recipients.
Management of NAFLD in primary care settings
Authors: Wong Vincent W.S. , Zelber‐Sagi Shira , Cusi Kenneth , Carrieri Patrizia , Wright Eugene , Crespo Javier , Lazarus Jeffrey V.
Published: August 2022

Non‐alcoholic fatty liver disease (NAFLD) affects at least 25% of the general population and is an increasingly important cause of cirrhosis and hepatocellular carcinoma. Although it is the research focus of the hepatology field, it is clear that primary care physicians are seeing the majority of NAFLD patients and are in a pivotal position to provide quality care. In this article, we review the role of primary care in the management of NAFLD. NAFLD is common in patients with diabetes, obesity and other metabolic risk factors. Abdominal ultrasonography is the most commonly used method to diagnose fatty liver. Simple fibrosis scores have high negative predictive values in excluding advanced liver fibrosis and future liver‐related events and can be used in primary care as initial evaluation. An abnormal result should be followed by subsequent workup or specialist referral. Primary care is the ideal setting to institute multidisciplinary care, especially the involvement of dietitians and physical activity trainers in lifestyle intervention, as well as initiating the discussion of bariatric surgery in patients with severe obesity. Although specific drug treatment for steatohepatitis would require a more precise diagnosis, metabolic drugs that improve both steatohepatitis and cardiovascular outcomes (e.g. glucagon‐like peptide‐1 receptor agonists) may be considered in patients with NAFLD.
Dirty Work in Medicine: Understanding U.S. Physicians’ Agency in Contested Medical Practices
Authors: Buchbinder Mara
Published: August 2022

Physicians who participate in abortion and medically assisted death in the United States work at the margins of institutionalized medicine. What motivates them to engage in such “dirty work”? This article uses ethnographic materials from two recent projects to analyze physicians’ roles as gatekeepers to contested medical services. Abortion and medically assisted death share many similarities: They are both deeply stigmatized practices that are heavily restricted in many U.S. jurisdictions, and which many physicians are reluctant to participate in for moral, religious, or professional reasons. They both also confer medicine with the power to govern life and death decisions through the apparatus of state law. However, state laws operate quite differently on physicians in these two cases, with different outcomes. This comparative analysis demonstrates how dirty work in medicine enrolls the agency and subjectivity of physicians in distinctive ways that may be eclipsed by totalizing biopolitical frameworks.[abortion, medical aid in dying, physicians, agency, biopolitics, United States]
Cytokinin or ethylene regulation of heat‐induced leaf senescence involving transcriptional modulation of WRKY in perennial ryegrass
Authors: Chen Wei , Huang Bingru
Published: August 2022

Heat stress is a major abiotic stress for temperate plant species with characteristic symptoms of premature leaf senescence. The objectives of this study were to evaluate the physiological effects of cytokinins (CK) and an ethylene inhibitor, aminoethoxyvinylglycine (AVG) on heat‐induced leaf senescence in the temperate perennial grass species, perennial ryegrass (Lolium perenne), and to investigate whether WRKY transcription factors (TFs) could be associated with CK‐ or ethylene‐mediated regulation of heat‐induced leaf senescence by exogenously applying CK or AVG to perennial ryegrass. Perennial ryegrass plants foliar‐sprayed with 6‐benzylaminopurine (6‐BA), and AVG exhibited prolonged stay‐green phenotypes and a lesser degree of leaf senescence under heat stress (35/30°C), as shown by a decline in electrolyte leakage, malondialdehyde content, hydrogen peroxide, and superoxide content, and increased chlorophyll (Chl) content along with reduced activities of Chl‐degrading enzymes (pheophytinase and chlorophyllase) and increased activity of Chl‐synthesizing enzyme (porphobilinogen deaminase) due to 6‐BA or AVG application. The suppression of heat‐induced leaf senescence by 6‐BA or AVG treatment corresponded with the upregulation of LpWRKY69 and LpWRKY70. The LpWRKY69 and LpWRKY70 promoters were predicted to share conserved cis‐elements potentially recognized by TFs in the CK or ethylene pathways. These results indicate that LpWRKY69 and LpWRKY70 may negatively regulate heat‐induced leaf senescence through CK or ethylene pathways, conferring heat tolerance in perennial ryegrass.
New tech, old exploitation: Gig economy, algorithmic control and migrant labour
Authors: Lata Lutfun Nahar , Burdon Jasmine , Reddel Tim
Published: August 2022

Digital platforms are the newest technological wave that is reshaping and reconfiguring the economic and labour landscape. Digital platforms often known as the gig economy are increasingly adopting app‐based models to connect consumers with workers to complete their on‐demand tasks. However, on‐demand platforms continue to rely on the unequal division of labour and the precarious nature of the work to create labour markets that can respond accordingly to the increase in service provision. This review highlights two main themes that have emerged within the on‐demand gig economy in the current literature—mythical autonomy and algorithmic control and misclassification of labour and the complexity of migrant workers in navigating this space. Finally, this review calls for further research into the inside/outside dichotomy of migrant labour within the gig economy and their experiences of labour exploitation through app‐based digital platforms.
Born again: Narrating the mental health journeys of religious exiters
Authors: Haire Fio Selwyn
Published: August 2022

Religious exit–also known as disaffiliation, deconversion, or apostasy–from religion is a growing phenomenon in the United States with significant individual and social consequences. In this review, I consult existing literature to clarify the relationship between the process of religious exit and the mental health of exiters. I organize this literature using Ebaugh’s (1988) role‐exit model to frame exiting religion as a multi‐stage process of role‐identity disruption, exit, anomie, and reestablishment, each of which are characterized by changes in mental health. The literature suggests that, beginning with tension between a religious system and the individual, exiters undergo a psychologically and emotionally fraught process of role‐identity transformation typified by a sequence of pre‐exit strains, a turning point at which exit occurs, immediate psychological and social aftermath, and a subsequent lifetime process of reconstruction. Using evidence from exiters' narratives, I argue that the conflict inherent in the process of religious exit catalyzes psychological distress, but that exit provides a mechanism for role‐identity reset that relieves many of the negative mental health effects associated with religious strain.
Description of the novel HLA‐A*23:125 allele in an individual from Equatorial Guinea
Authors: Balas Antonio , Moreno‐Hidalgo Miguel‐Ángel , Alenda Raquel , García‐Sánchez Félix , Vicario José L.
Published: August 2022

Characterization of the novel HLA‐A*23:125 allele.
HLA‐A*24:244, a variant of HLA‐A*24:02:01:01, detected in a Taiwanese individual
Authors: Yang Kuo‐Liang , Lin Py‐Yu
Published: August 2022

One nucleotide substitution in codon 51 of HLA‐A*24:02:01:01 results in the novel allele, HLA‐A*24:244.
Impact of deceased organ donor injection drug use on donor culture positivity and recipient outcomes
Authors: Moore Krista , Lautenbach Ebbing , Blumberg Emily A. , Han Jennifer , Lee Dong Heun , Clauss Heather , Hasz Richard , Bilker Warren B. , Molnar Esther , Alimenti Darcy , West Sharon , Tolomeo Pam , Anesi Judith A.
Published: August 2022

Background

Due to the ongoing opioid epidemic in the United States, deceased organ donors increasingly have a history of injection drug use (IDU), raising concerns about infectious risks to solid organ transplant (SOT) recipients. We sought to determine how recent IDU among deceased organ donors impacted donor culture results and recipient outcomes.

Methods

A retrospective cohort study was performed at three transplant centers. Exposed donors were those with “recent IDU” (in the prior 12 months). Primary outcomes included (1) positive donor cultures for bacteria or Candida species, (2) recipient bacterial or Candida infection within 3 months posttransplant, and (3) recipient graft failure or death within 12 months posttransplant. Mixed effects multivariable regression models were used to evaluate the relationship between recent donor IDU and each outcome.

Results

A total of 658 SOT recipients who received organs from 394 donors were included. Sixty‐six (17%) donors had a history of recent IDU. Recent IDU in donors was associated with a significantly increased odds of donor culture positivity (aOR 3.65, 95% CI 1.06–12.60, p = .04) but was not associated with SOT recipient infection (aHR 0.98, 95% CI 0.71–1.36, p = .92) or graft failure or death (aHR 0.67, 95% CI 0.29–1.51, p = .33).

Conclusion

Donors with recent IDU are more likely to have positive cultures, but their recipients’ outcomes are unaffected, suggesting organs from donors with recent IDU may be safely utilized.

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The landscape of Chlamydomonas histone H3 lysine 4 methylation reveals both constant features and dynamic changes during the diurnal cycle
Authors: Strenkert Daniela , Yildirim Asli , Yan Juying , Yoshinaga Yuko , Pellegrini Matteo , O'Malley Ronan C. , Merchant Sabeeha S. , Umen James G.
Published: August 2022

Chromatin modifications are epigenetic regulatory features with major roles in various cellular events, yet they remain understudied in algae. We interrogated the genome‐wide distribution pattern of mono‐ and trimethylated histone H3 lysine 4 (H3K4) using chromatin‐immunoprecipitation followed by deep‐sequencing (ChIP‐seq) during key phases of the Chlamydomonas cell cycle: early G1 phase, Zeitgeber Time 1 (ZT1), when cells initiate biomass accumulation, S/M phase (ZT13) when cells are replicating DNA and undergoing mitosis, and late G0 phase (ZT23) when they are quiescent. Tri‐methylated H3K4 was predominantly enriched at transcription start sites of the majority of protein coding genes (85%). The likelihood of a gene being marked by H3K4me3 correlated with it being transcribed at some point during the life cycle but not necessarily by continuous active transcription, as exemplified by early zygotic genes, which may remain transcriptionally dormant for thousands of generations between sexual cycles. The exceptions to this rule were around 120 loci, some of which encode non‐poly‐adenylated transcripts, such as small nuclear RNAs and replication‐dependent histones that had H3K4me3 peaks only when they were being transcribed. Mono‐methylated H3K4 was the default state for the vast majority of histones that were bound outside of transcription start sites and terminator regions of genes. A small fraction of the genome that was depleted of any H3 lysine 4 methylation was enriched for DNA cytosine methylation and the genes within these DNA methylation islands were poorly expressed. Besides marking protein coding genes, H3K4me3 ChIP‐seq data served also as a annotation tool for validation of hundreds of long non‐coding RNA genes.
The FIBTEM paradox: Do coronary artery bypass grafting patients with high baseline FIBTEM clot firmness need more allogeneic blood transfusion?
Authors: Choi Seung , Mazzeffi Michael A. , Henderson Reney , Mondal Samhati , Morita Yoshihisa , Deshpande Seema , Tanaka Kenichi A.
Published: August 2022

Background

Fibrinogen thromboelastometry (FIBTEM) test is clinically used for rotational thromboelastometry as a surrogate measure of fibrinogen. Elevated fibrinogen might confer protection against bleeding after major surgery. This single‐center study was conducted to assess any relationship between baseline FIBTEM value and exposure to allogeneic transfusion in patients undergoing coronary artery bypass grafting (CABG).

Study Design and Methods

Data were obtained retrospectively from local FIBTEM data and the Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database between 2016 and 2019. Preoperative FIBTEM 10‐min amplitude (A10) was categorized as low (≤ 18 mm), intermediate (19–23 mm), or high (≥24 mm). The primary outcome was any transfusion during the hospitalization, including red blood cells (RBCs), platelets, plasma, and cryoprecipitate. A multivariable regression model was used to adjust for confounders and calculate an odds ratio (OR) for any transfusion.

Results

The high FIBTEM group included more female and African‐American patients, as well as urgent surgery. The STS predicted risks of morbidity and mortality were greater, and anemia was most prevalent with high FIBTEM. Unadjusted blood transfusion rates were increased with high FIBTEM due to RBC transfusion, but non‐RBC transfusion was highest with low FIBTEM. After adjustments, a lower OR for transfusion was associated with high FIBTEM (0.426; 95% confidence interval, 0.199–0.914) compared to low FIBTEM.

Conclusion

The high FIBTEM group frequently presented with anemia and comorbidities, and received more RBCs but not non‐RBC products. Postoperative blood loss was less with high FIBTEM, and after adjustments, it conferred protection against any transfusion.
Allogeneic CD34‐selected stem cell boost as salvage treatment of life‐threatening infection and severe cytopenias after CAR‐T cell therapy
Authors: de Tena Pablo Silva , Bailén Rebeca , Oarbeascoa Gillen , Gómez‐Centurión Ignacio , Pérez‐Corral Ana , Carbonell Diego , Martínez‐Laperche Carolina , Sancho Milagros , Bastos‐Oreiro Mariana , Conde‐Royo Diego , Fernández‐Caldas Paula , Muñoz Cristina , Sabell Santiago , Buño Ismael , Anguita Javier , Díez‐Martín José Luis , Kwon Mi
Published: August 2022

Background

A variable incidence of profound cytopenia has been described in patients receiving chimeric antigen receptor T‐cell (CAR‐T) therapy for relapsed or refractory (R/R) B‐cell acute lymphoblastic leukemia (ALL). This complication leads to severe infection in some cases, especially those who present additional risk factors including prior hematopoietic stem cell transplantation (HSCT).

Study Design and Methods

We report a case of breakthrough invasive fungal infection in a patient with prolonged neutropenia after CAR‐T cell therapy administered for relapsed B‐cell ALL after allogeneic haploidentical HSCT.

Results

After disease progression was discarded, therapy with antifungal agents, G‐CSF and thrombopoietin analogue was started. However, no sign of haematological recovery or infection improvement was observed. A fresh mobilized selected CD34‐stem cell boost from her haploidentical transplant donor was infused without further conditioning. Within 15 days of mobilized CD34‐boost administration the patient showed complete resolution of both the aplasia and fungal infection.

Discussion

This case illustrates as proof‐of‐concept the efficacy and safety of selected CD34‐stem cell boost from prior donor as salvage treatment of prolonged cytopenias after CAR‐T cell therapy.
Blood products and liver transplantation: A strategy to balance optimal preparation with effective blood stewardship
Authors: Little Christopher J. , Leverson Glen E. , Hammel Laura L. , Connor Joseph P. , Al‐Adra David P.
Published: August 2022

Background

Unanticipated transfusion requirements during liver transplantation can delay lifesaving intraoperative resuscitation and strain blood bank resources. Risk‐stratified preoperative blood preparation can mitigate these deleterious outcomes.

Study Design and Methods

A two‐tiered blood preparation protocol for liver transplantation was retrospectively evaluated. Eleven binary variables served as criteria for high‐risk (HR) allocation. Primary outcomes included red blood cell (RBC), plasma (FFP), and platelet (Plt) utilization. Secondary outcomes included product under‐ and overpreparation. Contingency tables for transfusion requirements above the population means were generated using 15 clinical variables. Modified protocols were developed and retrospectively optimized using the study population.

Results

Of 225 recipients, 102 received HR preoperative orders, which correlated to higher intraoperative transfusion requirements. However, univariate analysis identified only two statistical risk factors per product: Hgb ≤7.8 g/dl (p < .001) and MELD ≥38 (p = .035) for RBCs, Hgb ≤7.8 g/dl (p = .002) and acute alcoholic hepatitis (p = 0.015) for FFP, and Hgb ≤7.8 g/dl (p = .001) and normothermic liver preservation (p = .037) for Plts. Based on these findings, we developed modified protocols for individual products, which were evaluated retrospectively for their effectiveness at reducing under‐preparatory events while limiting product overpreparation. Cohort statistics were used to define the preparation strategy for each protocol. Retrospective comparative analysis demonstrated the superiority of the modified protocols by improving the under‐preparation rate from 24% to <10% for each product, which required a 1.56‐fold and 1.44‐fold increase in RBC and FFP overpreparation, respectively. Importantly, there was no difference in Plt overpreparation.

Discussion

We report translatable data‐driven blood bank preparation protocols for liver transplantation.
Energy in Music: An Inventory of Observations and Ideas
Authors: Thoresen Lasse
Published: August 2022

The contemporary field of musical analysis and theory features an overwhelming pre ponderance of studies related to the pitch domain. However, very few studies have explored the question of energy—that force without which there would be no sound in the first place, no creative
drive in the second place, no directed motion, no articulation, no climax, and so on. After summarizing some important work already conducted in the field of energy in music, I discuss various ideas and observations I have made, both in my efforts as a composer and through my work with aural
analysis (aural sonology) of music-as-heard, since here the multiple roles of energy are far more evident than in the musical score. I present an inventory of ideas that, by implication, challenge the consensus of what the limits of music theory and analysis should be. I argue that to understand
the craft of musical composition in greater depth, it is necessary to study the synergies between a greater number of musical "parameters," and I therefore propose the need for a multidimensional approach to music analysis.
Modification of the SVD Unfolding Regularization Method
Authors: Bogomolov Yu. V. , Alekseev V. V. , Levanova O. A. , Maiorov A. G. , Malakhov V. V. , Yazynin S. G.
Published: August 2022

Unfolding is currently an important stage of processing experimental data, reducing the effect of errors and reconstructing approximately real distributions of quantities. Numerous approaches exist to solve this problem; in particular, they are widely used in the modern physics of atomic nuclei and elementary particles, space physics, and other related areas. However, many algorithms are not designed or are poorly adapted to reconstruct multidimensional distributions corresponding to, e.g., several characteristics of particles measured simultaneously. In this work, a method has been proposed to adapt the singular value decomposition (SVD) unfolding algorithm to the multidimensional case. The proposed modified method has been tested in application to simulation data for the cosmic ray spectrum measured in the PAMELA space experiment. This method not only makes it possible to estimate the real distribution of a multidimensional quantity (momentum and two angles specifying the direction of entering a particle into an instrument) but also provides a better result compared to the classical SVD approach in the one-dimensional case (only the momentum of the p-article).
Phase Logic Based on π Josephson Junctions
Authors: Maksimovskaya A. A. , Ruzhickiy V. I. , Klenov N. V. , Bakurskiy S. V. , Kupriyanov M. Yu. , Soloviev I. I.
Published: August 2022

The transition to Josephson digital circuits with the representation of information in the form of phase jumps of the superconducting order parameter on heterostructures promises a radical increase in the degree of integration while maintaining high speed and energy efficiency. However, it is not yet possible to manufacture reproducible bistable Josephson junctions, which are necessary for the functioning of the previously proposed basic units of the phase logic. To solve this problem, the concept of phase logic based on π junctions is proposed and analyzed within the resistive model of Josephson heterostructures. The potential energy of such junctions has a single minimum, with a difference in the order parameters of the electrodes equal to π. It is demonstrated that the use of π junctions allows one to implement the entire set of logic devices necessary for the operation of digital computing devices based on phase logic.
Erratum to: Effect of Different Forms of Silver on Biological Objects
Authors: Antsiferova A. A. , Kashkarov P. K. , Koval’chuk M. V.
Published: August 2022

An Erratum to this paper has been published: https://doi.org/10.1134/S2635167622030235
Quantumness and entropic uncertainty in curved space-time
Authors: Li Li-Juan , Ming Fei , Song Xue-Ke , Ye Liu , Wang Dong
Published: August 2022

We explore the tripartite entropic uncertainty and genuine tripartite quantumness of Dirac fields in the background of the Garfinkle–Horowitz–Strominger (GHS) dilation space-time. It is interesting to note that Hawking radiation leads to the decay of quantum nonlocality in the physically accessible region while preserving its total coherence. More importantly, it demonstrates an intrinsic trade-off relationship between the coherences of physically accessible and inaccessible regions. Moreover, we examine the effect of Hawking radiation on entropy-based measured uncertainty and find that stronger Hawking radiation causes the uncertainty in physically accessible regions to increase while decreasing the uncertainty in physically inaccessible regions. Therefore, our investigations may be beneficial to a better understanding of the system’s quantumness in a curved space-time. Combining relativity theory with quantum information science offers new avenues for comprehending the information paradoxes involving black holes.
New results for cuscuton multi-field brane
Authors: Bazeia D. , Lobão A. S.
Published: August 2022

We investigate braneworld models in the presence of the several scalar fields with generalized dynamics. A new mechanism to control the internal structure of brane in modified gravity is used to induce changes in the models in the presence of cuscuton dynamics. Examples with two- and three-field are considered, and we have found that the inclusion of the cuscuton can significantly alter the profile of the brane, causing unique changes in the warp factor, energy density, stability potential and the corresponding zero mode.
Extraction of English Keyword Information Based on CAD Mesh Model
Authors: Wu Xiuying , Yang Liuhui
Published: August 2022

Traditional methods only consider topic information in English vocabulary information extraction, lose the statistical feature information of the keywords themselves, and easily ignore the semantic information of the words. In order to improve the extraction efficiency of English keyword information, based on the CAD mesh model, this paper adds constraint factors such as vertex neighborhood flatness, vertex degree, side length, and flatness on both sides of the side on the basis of the original QEM quadratic error simplification algorithm, and it incorporates a smoothing effect into the edge folding cost function. Moreover, based on the proposed normal vector-based QEM mesh simplification algorithm, the point selection after the edge folding operation is fixed as the vertices of the original edge, and it is applied to the mesh parameterization. In addition, the algorithm solves the local parameterization problem of partially deleted vertices after the simplification operation of each layer is completed. After the model is constructed, the performance of the model is verified through experiments. The research shows that the English keyword information extraction model constructed in this paper is effective.
Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia
Authors: Mahaboob Basha Shaik , Lira Neto Aloísio Vieira , Alshathri Samah , Elaziz Mohamed Abd , Hashmitha Mohisin Shaik , De Albuquerque Victor Hugo C.
Published: August 2022

Coronavirus disease (COVID-19) has created an unprecedented devastation and the loss of millions of lives globally. Contagious nature and fatalities invariably pose challenges to physicians and healthcare support systems. Clinical diagnostic evaluation using reverse transcription-polymerase chain reaction and other approaches are currently in use. The Chest X-ray (CXR) and CT images were effectively utilized in screening purposes that could provide relevant data on localized regions affected by the infection. A step towards automated screening and diagnosis using CXR and CT could be of considerable importance in these turbulent times. The main objective is to probe a simple threshold-based segmentation approach to identify possible infection regions in CXR images and investigate intensity-based, wavelet transform (WT)-based, and Laws based texture features with statistical measures. Further feature selection strategy using Random Forest (RF) then selected features used to create Machine Learning (ML) representation with Support Vector Machine (SVM) and a Random Forest (RF) to make different COVID-19 from viral pneumonia (VP). The results obtained clearly indicate that the intensity and WT-based features vary in the two pathologies that are better differentiated with the combined features trained using SVM and RF classifiers. Classifier performance measures like an Area Under the Curve (AUC) of 0.97 and by and large classification accuracy of 0.9 using the RF model clearly indicate that the methodology implemented is useful in characterizing COVID-19 and Viral Pneumonia.
Text Mining of Movie Animation User Comments and Video Artwork Recommendation Based on Machine Learning
Authors: Gong Haoran
Published: August 2022

Video artworks are closely linked with the development of contemporary technology. Therefore, it is widely used in various fields of social life. Video art has become one of the main media forms of contemporary art. In the practice of art teaching, how to combine the existing content of traditional art teaching with video technology and how to understand the inner connection between traditional aesthetics and technological aesthetics have become issues that workers in the new era must think about and pay attention to. As a typical case of influencing works of art, movie animation is loved by the majority of young people. In order to quantify the application effect of machine learning in video art and film animation text mining, this paper conducts prediction research and analysis on several main aspects of color features involved in film animation. By introducing three typical machine learning methods, this paper analyzes the distribution law of the color features of film animation from the perspective of machine learning and its influence on artistic texts. Specifically, the paper uses machine learning methods as a carrier to predict the performance of multiple main modules of color features in movie animation. The prediction results show that the square of the correlation coefficient corresponding to the extreme learning machine is the largest, and the root mean square error, the mean absolute percentage error, and the median absolute error are the smallest, which shows that the extreme learning machine has the best prediction effect. Therefore, it corresponds to the best prediction. In addition, the comparison between the predicted data and the measured data shows that the relationship between the two is approximately a linear function of y = x. At the same time, the fitting calculation shows that the predicted data corresponding to the two main modules of the main color and the color structure in the color feature exhibit a good functional relationship of polynomial functions.
Color Matching Generation Algorithm for Animation Characters Based on Convolutional Neural Network
Authors: Lyu Jiali , Young Lee Hae , Liu Huwen
Published: August 2022

In recent years, for China, animation industry is a relatively new and mature emerging national sunrise industry after animation industry, which appears on the world stage more and more frequently and is widely concerned and valued by people from all over the world. Therefore, this paper innovatively uses the convolutional neural network algorithm to innovate the color matching generation of animation characters and improve the traditional technology of color matching for animation characters. In this paper, we mainly use Generative Adversarial Network (GAN), Deep Convolutional Generative Adversarial Network and VGG model, and multiscale discriminator theory and use ACGAN research method. And we study this paper’s innovative LMV-ACGAN research method, and we have come to the conclusion that other models have higher collapse rate than this model; this model has higher color matching of anime characters. Color matching improves with the increase of convolutional neural network utilization, etc. Moreover, superior and minor reviews of this study are provided to make later researchers understand this study more rationally and objectively.
Intelligent Assessment of Mental Health Based on IoT Data
Authors: Luo Huifang
Published: August 2022

In order to solve the problem of the accuracy of mental health assessment of college students, the author proposes an intelligent assessment system for mental health based on IoT data. In order to improve the evaluation effect, the author based on the original student mental health crisis counseling risk evaluation system designs a new risk assessment system for student mental health crisis counseling. The system hardware section mainly optimizes the design of the main control chip and the minimum system circuit. At the same time, a psychological counseling risk calculation model is built to realize the process of quantifying the risk value. The membership degree of the risk value is calculated using the basic principle of fuzzy logic, and the evaluation result is introduced into this part of the calculation to obtain an accurate evaluation level. The evaluation accuracy of the design system can reach up to 99%, and the detection time is as low as 5 s, which greatly improves the evaluation performance. The use of the design system is better than the evaluation system currently in use.
Big Data Analysis and Modeling of Higher Education Reform Based on Cloud Computing Technology
Authors: Tang Ziye
Published: August 2022

In view of the current educational environment, the development of higher education cannot be separated from the support of information technology. The era of big data has had various impacts on higher education and accelerated the development of higher education. Cloud computing technology has good application prospects for the data analysis and mathematical modeling content involved in the reform of higher education. This study analyzes and calculates the concerns of the four main contents involved in the educational reform of a higher education institution as the research object. In order to quantify the application effects of different cloud computing technologies, the paper introduces three typical cloud computing technologies to analyze the research data and establish related mathematical models. The results show that the prediction accuracy based on the immune cloning algorithm is the best. Based on the calculation results, it can be found that the corresponding data of the two main contents of teaching scene setting and teaching quality detection show an obvious polynomial function relationship.
End-to-End Retinex-Based Illumination Attention Low-Light Enhancement Network for Autonomous Driving at Night
Authors: Zhao Ruini , Han Yi , Zhao Jian
Published: August 2022

Low-light image enhancement is a preprocessing work for many recognition and tracking tasks for autonomous driving at night. It needs to handle various factors simultaneously including uneven lighting, low contrast, and artifacts. We propose a novel end-to-end Retinex-based illumination attention low-light enhancement network. Specifically, our proposed method adopts multibranch architecture to extract rich features for different depth levels. Meanwhile, we consider the features from different scales in built-in illumination attention module. We encode reflectance features and illumination features into latent space based on Retinex in each submodule, which could cater for highly ill-posed image decomposition tasks. It aims to enhance the desired illumination features under different receptive fields. Subsequently, we propose a memory gate mechanism to learn adaptively long-term and short-term memory. Their weight could control how many high-level and low-level features should be reserved. This method could improve the image quality from both different feature scales and feature levels. Comprehensive experiments on BDD10K and cityscapes datasets demonstrate that our proposed method outperforms various types of methods in terms of visual quality and quantitative metrics. We also show that our proposed method has certain antinoise capability and generalizes well without fine-tuning when dealing with unseen images. Meanwhile, our restoration performance is comparable to that of advanced computationally intensive models.1
Application Exploration of Scenario Logistics Ecosystem Based on beyond 5G and IoT Architecture
Authors: Yao Wei , Li Yudong
Published: August 2022

With the continuous expansion of my country's logistics market, the business scale and management scale of logistics enterprises are increasing day by day. Smart logistics enterprises realize the “three streams in one” of the logistics industry through informatization and intelligent management, which greatly improves the service efficiency and quality of logistics enterprises. However, there are still many problems in this intelligent logistics mode. In this context, we conduct research experiments on the logistics ecosystem of IoT architecture scenarios and draw conclusions through experiments: (1) logistics development in IoT building scenarios. The environment includes natural environment, economic environment, political environment, etc. The economic environment plays an important role in driving logistics demand and promoting logistics growth. The political environment helps to improve the logistics infrastructure and ensure the healthy development of logistics. (2) The most important cost of the logistics industry is that transportation costs account for 67% of the entire logistics cost, followed by cargo storage accounting for 16% of the cost, and smart express cabinets accounting for 13% of the cost. From this, we can see the highest cost out of the logistics system under the Internet of Things is the transportation cost. As a unity is closely linked to the economy and interdependent, logistics is the driving force to promote the development of economic integration. In order to ensure the sustainable development of the economy, it is necessary to continuously improve the service level of logistics, reduce logistics costs, improve operation efficiency, strengthen the linkage development with other industries, and enhance the competitiveness of logistics. We launched an investigation against this background and researched the logistics system under the scenario logistics ecosystem of beyond 5G and IoT architecture.
Research on Comprehensive Benefit Evaluation of Internationalized University Education Based on Big Data under the Background of Internet of Things
Authors: Yin Yanfeng
Published: August 2022

Nowadays, in the context of the Internet of things and artificial intelligence, nationalization is an advanced school running concept. In China, some colleges have carried out an international school running mode and achieved certain results which provides theoretical support for the international operation of relevant university education, and also provides reference for the comprehensive benefit evaluation of other similar international university education. As an advanced school running concept, it has attracted the attention of many universities at home and abroad. Promoting the internationalization of universities is the general trend and a need of the development of higher education. Although some universities have started the practice of internationalization, there are differences and misunderstandings in the theory and practice of the internationalization of university education in China. There are many reasons for the differences, including the basic level of development, the level of theoretical understanding, the level of regional environmental background, and the level of specific operation and implementation. However, one of the important reasons is the lack of quantitative evaluation of the comprehensive benefits of the nationalization of university education. This study attempts to start from the reality of each university, adopt a systematic and scientific comprehensive benefit evaluation index system of university international operation, study the applicable and effective comprehensive benefit evaluation methods of university education international operation under the background of the Internet of things, and put forward suggestions and improvement measures for university education international operation, so as to provide theoretical support for China’s university education international operation. It provides reference and reference for the comprehensive benefit evaluation of international running of university education similar to other sample units.
Population Density and Triage of Pediatric Firearm Injuries in a Rural Trauma System
Authors: Shaw Taylor B. , Cockrell Hannah C. , Carter Kristen T. , Mijalis Eleni M. , Buti Yusef , Sawaya David , Berch Barry R. , Kutcher Matthew E. , Morris Michael W.
Published: August 2022

Background

Rural pediatric firearm injuries require regional pediatric and trauma expertise. We evaluated county-level population density associations with transport, hospital interventions, and patient outcomes at a Level I pediatric trauma center serving a rural, statewide catchment area.

Material and Methods

The trauma registry of the only in-state pediatric trauma center was reviewed for firearm injuries in patients < 18 between 1/2013 and 3/2020. County-level population density was classified according to the United States Office of Management and Budget definitions for rural, micropolitan, and metropolitan areas.

Results

364 patients were identified, including 7 patients who were re-injured. Mean age was 11.3 ± 4.5 y and patients were 79.4% male. 59.3% were transferred from a referring hospital. Median injury severity score was 5 (IQR 1-10); 88.0% required trauma center admission, and 48.2% required operative intervention. 7.4% were injured in a rural county, 46.4% in a micropolitan county, and 46.2% in a metropolitan county. Patients from rural counties were more likely to be unintentionally injured (72.0%) than those from micropolitan (54.4%) or metropolitan counties (44.0%, P = .04). While need for inpatient admission and length of stay were similar, those transported from rural counties had significantly longer transport times ( P < .01) and less frequent need for operative intervention ( P = .03), as well as trends toward lower injury severity ( P = .08) and mortality ( P = .06).

Conclusion

Management of pediatric firearm injury is a unique challenge with significant regional variability. Opportunities exist for outreach, telehealth, and decision support to ensure equitable distribution of resources in rural trauma systems.

Level of Evidence

Epidemiological, Level III.
United clubs of Europe: Informal differentiation and the social ordering of intra-EU diplomacy
Authors: Haugevik Kristin
Published: August 2022

This article makes the case for integrating informal, social and minilateral dynamics in analyses of ‘differentiated integration’ in the European Union (EU) context. In EU studies, differentiated integration has mainly served as an analytical lens for studying variation in states’ degree of formalized commitment to the European integration project or in organizational decision-making procedures across policy areas. While this focus has generated important analytical and empirical insights, three dimensions tend to be lost when limiting the study of differentiated integration to negotiated outcomes manifest in legal documents and decision-making procedures. First, informal processes of integration precede and concur with formal ones. Second, European integration is an inherently social process, and member states integrate with the EU identity-building project in different ways and to different degrees. Third, member states enjoy heterogeneous social ties with one another, routinely forming informal bi- and minilateral coalitions in everyday decision-shaping processes. More knowledge about these informal and social dynamics can give us a better understanding of how differentiated integration manifests itself in practice and where the European integration process is heading. The theoretical argument is buttressed by data from the 2020 European Council of Foreign Relations’ ‘Coalition Explorer’ survey, showing how partner preferences within the EU continue to reflect stable social sub-orders.
Controlling precarious work through documents: The carteira de trabalho on the sugarcane plantations of Northeast Brazil
Authors: Souza Queiroz Allan
Published: August 2022

This article explores the Brazilian carteira de trabalho (work card) and its usage on the sugarcane plantations of Alagoas, Northeast Brazil. It draws on photography and interviews with rural workers to analyse how documents have been used to manage and reproduce precarious work. On the plantations, work cards function as a managerial tool allowing workforce surveillance and control. Moreover, sugar mills can control rural workers’ mobility and shape the agricultural reserve army by retaining these documents, thereby immobilising wage workers. While the work card symbolises occupational citizenship and materialises the labour legislation, in practice, it becomes a disciplinary instrument supporting the agribusiness’ strategies of identification, control, and deployment of precariously employed and exploited labour on the plantations. Finally, the article contributes with an innovative historical–biographical approach to the study of institutional mechanisms used to produce and reproduce precarious work in Brazil’s sugarcane plantations.
Research and development of weld tracking system based on laser vision
Authors: Li Dongjie , Wang Mingrui , Wang Shiwei , Zhao Hongyue
Published: August 2022

Aiming at the shortcomings of low real-time, low applicability, and low welding precision of automatic welding system, a seam tracking system based on laser vision is designed. Use the laser vision sensor to collect the weld image and transmits it to the industrial control computer for processing. Using a median filter to eliminate noise impacts such as arc and splash. Then, this paper focuses on the combination of an improved image threshold segmentation algorithm is used to solve the optimal threshold to obtain the binary image. And the information of laser stripe and the background are separated, overcomes the problems that the researchers have encountered before, such as the unrecognized global optimal solution, and the inaccuracy of the segmentation caused by system jitter. Finally, combined with the improved upper and lower average method, least square method, and Hough transform, the weld feature points are identified and more ideal real-time weld tracking is realized. The experimental results show that the method can accurately track the weld feature points, and improve the detection speed.
Operational optimization at signalized metering roundabouts using cuckoo search/local search algorithm
Authors: An Hong Ki , Liu Yao , Kim Dong Sun
Published: August 2022

A metering roundabout where traffic is controlled by traffic lights with phase times influenced by queue detector occupancy might be the solution to enhance performance when there are unbalanced traffic flows at roundabouts. There have, however, been minimal studies on how the distance of the queue detector from the stop line affects signal phase time durations and the queuing lengths. This research, therefore, seeks to develop a Cuckoo Search/Local search Algorithm using parameters such as arrival volumes, conflicting volumes, detector distance and phase time to investigate the relationship of signal setting, detector location and queuing formulations. Also, some additional statistical tests were performed for the fitness of the data. In order to conduct solid model calibrations and validations, model output data was compared against the AIMSUN model. The results from the analyses demonstrated that the queue detector distance can affect phase time durations and vehicle queuing lengths on the controlling approach as well as queuing lengths on the metered approach. This study showed that, based on the study for the Old Belair Road roundabout, the total queue length (controlling + metered) will be minimized from 689 to 499 m by the proposed methods when the detector is relocated at 210 m from the roundabout stop line, giving longer phase green times and resulting in decreased intersection queuing lengths.