bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains
Authors: Nayak Ankita , Zhang Keyi , Setaluri Rajsekhar , Carsello Alex , Mann Makai , Torng Christopher , Richardson Stephen , Bahr Rick , Hanrahan Pat , Horowitz Mark , Raina Priyanka
Published: August 2022

To effectively minimize static power for a wide range of applications, power domains for coarse-grained reconfigurable array (CGRA) architectures need to be more fine-grained than those found in a typical application-specific integrated circuit. However, the special isolation logic needed to ensure electrical protection between
off
and
on
domains makes fine-grained power domains area- and timing-inefficient. We propose a novel design of the CGRA routing fabric that reduces the area overhead of power domain boundary protection from around 9% to less than 1% without incurring any extra timing delay from the isolation cells. Conventional Unified Power Format based flow for power domain boundary protection does not support this design choice. Therefore, we create our own compiler-like passes that iteratively introduce the needed design changes, and formally verify the transformations using methods based on satisfiability modulo theories. These passes also let us optimize how we handle test and debug signals through the
off
tiles in the CGRA. Using our framework, we add power domains to a CGRA that we designed and taped out. The CGRA has 32 × 16 processing element and memory tiles and 4-MB secondary memory. We address the implementation challenges encountered due to the introduction of fine-grained power domains, including the addressing of the CGRA tiles, the power grid design, well substrate connections, and distribution of global signals. Our CGRA achieves up to 83% reduction in leakage power and 26% reduction in total power versus an identical CGRA without multiple power domains, for a range of image processing and machine learning applications.
TokenSmart: Distributed, Scalable Power Management in the Many-core Era
Authors: Shah Parth , Shenoy Ranjal Gautham , Srinivasan Vaidyanathan , Bose Pradip , Buyuktosunoglu Alper
Published: August 2022

Centralized power management control systems are hitting a scalability limit. In particular, enforcing a power cap in a many-core system in a performance-friendly manner is quite challenging. Today’s on-chip controller reduces the clock speed of compute domains in response to local or global power limit alerts. However, this is opaque to the operating system (OS), which continues to request higher clock frequency based on the workload characteristics acting against the centralized on-chip controller. To address these issues, we introduce TokenSmart, which implements a set of scalable distributed frequency control heuristics within the OS, using a novel token-based mechanism. The number of system-allocated power tokens represents the maximum allowable power consumption; and the OS governor orchestrates a token-passing (or sharing) algorithm between the compute engines. Token allocation count increase (decrease) corresponds to a increase (decrease) of clock frequency. The compute units are connected in a ring-topology allowing minimal meta-data to be passed along with the token value for regulating power budget. We explore different heuristics to assign tokens smartly across the units. This results in efficient power regulation and sustenance of turbo frequencies over a longer duration. Our proposed methodology can be implemented in hardware with multiple on-chip controllers, or in software where each set of cores acts as a compute unit. The methodology is currently implemented within the Linux kernel of a real IBM POWER9 many-core system and experimentally verified on different real world workloads such as Redis, Cassandra, PostgreSQL along with a micro-benchmark such as rt-app. Our experiments indicate the increase in throughput for all the workloads along with the benefit of power savings. For instance, results show a considerable boost of about 4% in throughput of both the PostgreSQL and Redis benchmark with a substantial savings in power consumption (18% and 37%, respectively). If the approach is implemented in hardware, then our experimental analysis speculates the throughput to increase up to 14% in PostgreSQL benchmark.
Police Observational Research in the Twenty-First Century
Authors: Brunson Rod K. , Miller Ayanna
Published: August 2022

The often-clandestine inner workings of the policing profession have been of considerable interest to scholars, policy makers, social justice activists, and everyday citizens. Technological innovations such as body-worn cameras, smartphones, and social media have allowed for increased public scrutiny of how officers carry out their duties. Recently, there has been intensified interest in the role of police and their suitability for addressing a wide range of important social issues. As various stakeholders consider impassioned calls for police reform, a comprehensive understanding of officer behavior is especially critical. Police observational research has historically used innovative methods to observe, document, and analyze police officer conduct. Herein, we investigate the evolution of police observational research and its many contributions and underscore the potential for future research.
Net Zero: Science, Origins, and Implications
Authors: Allen Myles R. , Friedlingstein Pierre , Girardin Cécile A.J. , Jenkins Stuart , Malhi Yadvinder , Mitchell-Larson Eli , Peters Glen P. , Rajamani Lavanya
Published: August 2022

This review explains the science behind the drive for global net zero emissions and why this is needed to halt the ongoing rise in global temperatures. We document how the concept of net zero carbon dioxide (CO2) emissions emerged from an earlier focus on stabilization of atmospheric greenhouse gas concentrations. Using simple conceptual models of the coupled climate–carbon cycle system, we explain why approximately net zero CO2 emissions and declining net energy imbalance due to other climate drivers are required to halt global warming on multidecadal timescales, introducing important concepts, including the rate of adjustment to constant forcing and the rate of adjustment to zero emissions. The concept of net zero was taken up through the 5th Assessment Report of the Intergovernmental Panel on Climate Change and the United Nations Framework Convention on Climate Change (UNFCCC) Structured Expert Dialogue, culminating in Article 4of the 2015 Paris Agreement. Increasing numbers of net zero targets have since been adopted by countries, cities, corporations, and investors. The degree to which any entity can claim to have achieved net zero while continuing to rely on distinct removals to compensate for ongoing emissions is at the heart of current debates over carbon markets and offsetting both inside and outside the UNFCCC. We argue that what matters here is not the precise makeup of a basket of emissions and removals at any given point in time, but the sustainability of a net zero strategy as a whole and its implications for global temperature over multidecadal timescales. Durable, climate-neutral net zero strategies require like-for-like balancing of anthropogenic greenhouse gas sources and sinks in terms of both origin (biogenic versus geological) and gas lifetime.
APOBEC-Induced Mutagenesis in Cancer
Authors: Mertz Tony M. , Collins Christopher D. , Dennis Madeline , Coxon Margo , Roberts Steven A.
Published: August 2022

The initiation, progression, and relapse of cancers often result from mutations occurring within somatic cells. Consequently, processes that elevate mutation rates accelerate carcinogenesis and hinder the development of long-lasting therapeutics. Recent sequencing of human cancer genomes has identified patterns of mutations, termed mutation signatures, many of which correspond to specific environmentally induced and endogenous mutation processes. Some of the most frequently observed mutation signatures are caused by dysregulated activity of APOBECs, which deaminate cytidines in single-stranded DNA at specific sequence motifs causing C-to-T and C-to-G substitutions. In humans, APOBEC-generated genetic heterogeneity in tumor cells contributes to carcinogenesis, metastasis, and resistance to therapeutics. Here, we review the current understanding of APOBECs’ role in cancer mutagenesis and impact on disease and the biological processes that influence APOBEC mutagenic capacity.
Fabrication of Pyramid-Like Structured Cu Coatings by Pulse-Reverse Current Electrodeposition
Authors: Tang Liping , Peng Yan , Han Silin , Hang Tao , Ling Huiqin , Li Ming , Wu Yunwen
Published: August 2022

Copper (Cu) coatings with a high surface area have attracted significant attention for functional devices due to their high thermal and electrical properties. Pulse-reverse current (PRC) electrodeposition has been introduced to fabricate Cu coatings for a long history, but compared to the individual anodic step, little attention has been paid to the synergistic effects of anodic and cathodic steps. The new parameter “artificial exchange current density” (j
A) has been demonstrated to quantify the effects of anodic and cathodic currents on the morphology in our previous work. Herein, a key metric−the relative current amplitude−that is positively correlated with j
A, is used to further clarify the role of j
A in the electrodeposition process. We fabricate Cu coatings with well-dispersed pyramid-like structures and find the relative current amplitude dominates the formation of a larger raised structure at the initial nucleation stage. Moreover, it is speculated that the anodic current can dissolve high-energy planes and achieve a highly (111)-oriented texture. Afterward, screw dislocation drives the spiral growth of grains, resulting in pyramid-like structures. This study not only enriches our understanding of the artificial exchange current density in PRC electrodeposition but also guides us to achieve Cu coatings with high surface area.
Enhanced Magnetic Properties of Electrodeposited Co2FeSn Film with High Structural Order
Authors: Pathak Pushpesh , Bisht Gajendra Singh , Srinivasan A.
Published: August 2022

Near stoichiometric Co2FeSn Heusler alloy films with a highly ordered L2
1 structure and mean grain size of 23 ± 1 nm have been prepared on a polycrystalline copper substrate for the first time by electrodeposition route. Deposition potential −4.0 V yielded the stoichiometric alloy composition in the potentiostatic mode. The highly disordered as-deposited alloy film crystallized into the ordered stable Heusler alloy structure upon heat treatment under vacuum. The heat-treated film exhibited the highest magnetic moment (5.18 ± 0.04 μ
B/f.u. at 5 K) and Curie temperature (1123 K) ever achieved in this alloy in any form. The very high value of K

eff
(∼106 erg c.c.−1) obtained for this alloy makes this alloy promising for high-density magnetic recording application. Ab initio studies using GGA + U approach provide information on the minority gap near the Fermi level and its tunability as a function of the electron correlation factor represented by the Hubbard parameter U.
How RNA editing keeps an I on physiology
Authors: Goldeck Marion , Gopal Aiswarya , Jantsch Michael F. , Mansouri Khosravi Hamid Reza , Rajendra Vinod , Vesely Cornelia
Published: August 2022

Adenosine deaminases acting on RNAs convert adenosines (A) to inosines (I) in structured or double-stranded RNAs. In mammals, this process is widespread. In the human transcriptome, more than a million different sites have been identified that undergo an ADAR-mediated A-to-I exchange Inosines have an altered base pairing potential due to the missing amino group when compared to the original adenosine. Consequently, inosines prefer to base pair with cytosines but can also base pair with uracil or adenine. This altered base pairing potential not only affects protein decoding at the ribosome but also influences the folding of RNAs and the proteins that can associate with it. Consequently, an A to I exchange can also affect RNA processing and turnover (Nishikura K. Annu Rev Biochem 79: 321–349, 2010; Brümmer A, Yang Y, Chan TW, Xiao X. Nat Commun 8: 1255, 2017). All of these events will interfere with gene expression and therefore, can also affect cellular and organismic physiology. As double-stranded RNAs are a hallmark of viral pathogens RNA-editing not only affects RNA-processing, coding, and gene expression but also controls the antiviral response to double-stranded RNAs. Most interestingly, recent advances in our understanding of ADAR enzymes reveal multiple layers of regulation by which ADARs can control antiviral programs. In this review, we focus on the recoding of mRNAs where the altered translation products lead to physiological changes. We also address recent advances in our understanding of the multiple layers of antiviral responses and innate immune modulations mediated by ADAR1.
RNA m6A modification in liver biology and its implication in hepatic diseases and carcinogenesis
Authors: Ma Wenbo , Wu Tong
Published: August 2022

N6-methyladenosine (m6A) is the most prevalent internal modification in eukaryotic RNAs. This modification is regulated by three different factors (writers, erasers, and readers) and affects multiple aspects of RNA metabolism, including RNA splicing, nuclear export, translation, stability and decay. The m6A-mediated modification plays important roles in posttranscriptional regulation of gene expression and mediates a variety of cellular and biological processes. Accordingly, deregulation in m6A modification is closely related to the occurrence and development of human diseases. The liver is the largest digestive and metabolic organ in human and recent studies have shown that m6A modification is importantly implicated in liver cellular and physiological functions and in the pathogenesis of hepatic diseases and cancers. In the current review, we summarize the functions of m6A in RNA metabolism and its roles in liver cell biology and discuss its implication in hepatic diseases and carcinogenesis.
Study on the Application of Chinese Traditional Visual Elements in Visual Communication Design
Authors: Zheng Yuming
Published: August 2022

This study analyzed the data collected from field research and SD questionnaires on the application of traditional elements in Aba Prefecture. This study adopted the multidisciplinary research method integrating linguistics, architecture, art, and statistics of science and technology to discuss the related issues of the cultural industry park, and analyze the expression of traditional art elements in the visual communication of the cultural industry park. First, based on the photographs taken, we analyzed the layout of typical scenes of traditional element applications on the plane, including the analysis of traditional element types, colors, and materials. Second, the SD questionnaire results are displayed and analyzed. From the comprehensive scores of the respondents, we learned that the application of traditional elements has different effects on the architectural landscape. The main results show that (1) the public has a positive attitude toward the expression of traditional culture in the planning and construction of the park. Scenes rich in traditional elements play a positive role in the transmission of traditional culture and the creation of a traditional atmosphere; (2) showing traditional architectural styles and landscape layouts in a reproducible way can more intuitively set off the traditional cultural atmosphere; (3) the texture of the stone wall has certain rules and principles. The arrangement and combination of stones are a plane composition, and the visual characteristics brought by the wall can be specifically analyzed according to the elements of the plane composition. The stone masonry wall is analyzed according to the elements of plane composition, which can be divided into visual elements and relational elements. The visual elements are divided into the size, shape, color, and texture of the image, and the relational elements refer to the relationship between position and arrangement, including orientation, location, and center of gravity.
Ultramarathon Evaluation above 180 km in relation to Peak Age and Performance
Authors: de Souza Raphael Fabricio , Santos Mirella Martineli Sousa , Thuany Mabliny , dos Santos Silva Devisson , de Jesus Alves Micael Deivison , Oliveira Davi Pereira Monte , Knechtle Beat , Silva Ana Filipa , Clemente Filipe Manuel , Nobari Hadi , Aidar Felipe J. , Badicu Georgian , Cataldi Stefania , Greco Gianpiero
Published: August 2022

Background. Ultramarathons with distances over 180 km might lead to different results regarding participation, performance, and age compared to shorter runs of 50 and 100 km. Objective. To evaluate ultramarathons with distances above 180 km in relation to runners’ peak age and performance. Methods. Verification of the quantity of competitions in runs over 180 km by continents in the period 2000 to 2020 and evaluation of the individual results of 13,300 athletes after 2010. Results. Europe stood out with the largest number of organized events, followed by Asia and North America. The age peak performance (PP) in men and women averaged 45 years old with relationship between sex × years (F = 3.612, p < 0.001; η2 = 0.003). Men accounted for more than 80% of the runners and showed a reduction in PP from 2015 onwards (p < 0.001). Competitions between 180 and 240 km were the most frequent, particularly after 2016, surpassing the number of marathons over 360 km (p < 0.001). Men and women showed higher velocity in distances (p < 0.001) from 180 to 240 km when compared to 241 to 300 k m, 301 to 360 km, and >360 km courses. Conclusions. The decade between 2010 and 2020 showed an increase in the number of Ultramarathon running events. Europe had the highest number. Women had low participation. Performance progression fell, a fact associated with an increase in the number of participants and not specifically related to a decline in athletic performance over the years.
Traffic Risk Assessment Based on Warning Data
Authors: Wang Tao , Chen Binbin , Chen Yuzhi , Deng Shejun , Chen Jun
Published: August 2022

To address the issues of insufficient danger excavation and long data collection period in traditional traffic risk assessment methods, this paper proposes a risk assessment method based on driver’s improper driving behavior and abnormal vehicle state warning data. Meanwhile, this paper analyses the built environment’s impact on traffic risk using the spatial econometric model. Firstly, a risk assessment system with the relative incidence of driver’s improper driving behavior (eye closure, yawn, and looking away) and abnormal vehicle state (rapid acceleration, rapid deceleration, and lane departure) warnings as assessment indicators is constructed. Then, the risk responsibility weights of each warning type were determined using the entropy weight method. The risk classification thresholds were determined based on the Gaussian Mixture Model algorithm. Finally, a spatial econometric model was used to quantify the impact of built environment factors characterized by Point of Interest (POI) data on regional traffic risk, with the results of risk class classification as the dependent variable. The data of bus vehicle warnings in Zhenjiang, Jiangsu Province, are employed as an example for validation. The geographic cell of 1 km × 1 km scale is applied as the basic risk assessment unit. The results show that the optimal risk classification threshold for road traffic risk levels I and II is 1.92, the accuracy rate of class classification is 79.3%; the optimal risk classification threshold for levels II and III is 0.75, and the accuracy rate of class classification is 83.4%. The number of residential areas, Point of Interest (POI) mixing degree, and bus stops were significantly and positively correlated with transit traffic risk. The study results provide references for developing customized accident prevention measures and the appropriate setting of urban supporting facilities.
Analgesic Effects, Birth Process, and Prognosis of Pregnant Women in Normal Labor by Epidural Analgesia Using Sufentanil in Combination with Ropivacaine: A Retrospective Cohort Study
Authors: Mao Lijing , Zhang Xiaoxiao , Zhu Jing
Published: August 2022

Objective. The objective is to evaluate the analgesic, labor, and prognostic effects of patient-controlled epidural analgesia (PCEA) versus sufentanil in conjunction with ropivacaine in normal labor. Methods. Sixty pregnant women who had a normal delivery at our hospital between February 2019 and April 2021 were included. Pregnant women were arbitrarily assigned to a control group and a research group. Pregnant women in the control group received lidocaine analgesia and PCEA with sufentanil combined with ropivacaine in the research group. Satisfaction with care, fetal umbilical artery blood flow, VAS score, labor and bleeding, neonatal Apgar score and incidence of adverse events were analyzed. Results. First, we made a comparison of satisfactory performance of nursing care. The satisfaction rate of the research group was 100.00%, compared to 83.33% for the control group. Nursing satisfaction was higher in the research group, and the difference was statistically significant (

P
<
0.05

). Following analgesia, PI, RI, and S/D values of umbilical artery blood flow were lower in the research group than those in the control group, but the difference was not statistically significant (

P
>
0.05

). The VAS scores at 10 min, 20 min, and 30 min were found to be lower in the research group than in the control group after analgesia, and the difference was statistically significant (

P
<
0.05

). Bleeding was significantly lower in the research group for all stages of labor, and the difference was statistically significant (

P
<
0.05

). Apgar scores at 1 minute, 5 minutes, and 10 minutes postpartum were greater in the research group than in the control group, and the difference was statistically significant (

P
<
0.05

). As a final note, the incidence of pruritus, hypotension, respiratory depression, nausea, and vomiting was found to be lower in the research group than in the control group, and the difference was statistically significant (

P
<
0.05

). Conclusion. PCEA with sufentanil coupled with ropivacaine was used to perform labor analgesia. With significant reduction in maternal pain and assurance of labor, ropivacaine combined with sufentanil epidural labor analgesia did not reduce fetal umbilical artery blood flow without extended labor. It could not affect the labor process or the safety of the fetus, which is safe for the mother and fetus.
3D Modeling Technology of Mobile Big Data Application in the Electric Vehicle Condition Monitoring System
Authors: Wang Ziyang , Li Gangjun
Published: August 2022

In recent years, the modern information society has entered the era of big data. Big data has rapidly developed into a popular category favored by academia and industry and has been widely used. This paper is aimed at studying the application of the 3D modeling technology of mobile big data to the monitoring of the state of electric vehicles. It proposes related concepts of big data algorithm and 3D modeling technology, introduces the trajectory matching algorithm based on mobile big data, and finally introduces the related concepts of electric vehicles and the design of the big data analysis platform for condition monitoring of substation equipment. On the basis of discussing the application of the three-dimensional modeling technology of mobile big data in the electric vehicle condition monitoring system, the experimental research was carried out with the big data in the condition monitoring of the intelligent substation. The experimental results of this paper showed that the storage overhead of the NJLS model was reduced by 34% to 40% compared with the conventional star schema, which could reduce the space overhead.
An Empirical Study Evaluating the Symbiotic Efficiency of China’s Provinces and the Innovation Ecosystem in the High‐Tech Industry
Authors: Yang Jianzhao
Published: August 2022

The traditional innovation model has been unable to adapt to high‐speed development, so the role of the innovation ecosystem has become more important. In this paper, we introduce ecology into industrial innovation and construct the symbiotic model to study the symbiotic evolution process of the high‐tech industrial innovation ecosystem. This paper takes China’s national high‐tech industrial park as a case to study its symbiotic efficiency through empirical research, which uses a stochastic frontier analysis as a research method, constructs a complete index evaluation system, and analyzes the influencing factors. According to the results, we find that an environment conducive to the symbiotic efficiency has emerged, but development and efficiency of high‐tech ecosystems in different regions of China are highly dispersed and unbalanced. There is room for improvement in symbiosis efficiency, but the difficulty is gradually increasing. Based on the evaluation of symbiotic efficiency of innovation ecosystem of high‐tech industry and the consideration of influencing factors such as policy, economy, society, and technology, this paper puts forward the countermeasures of high‐tech industry supporting regional economy.
High Seroprevalence of Hepatitis B and C Virus Infections among Pregnant Women Attending Antenatal Clinic in Borumeda General Hospital, Northeast Ethiopia
Authors: Gebretsadik Daniel , Assefa Minilik , Fenta Genet Molla , Daba Chala , Ali Abdurrahman , Tekele Saba Gebremichael
Published: August 2022

Background. Viral hepatitis are considered as the cause of solemn health problem for the human kind, particularly among pregnant women in the 21th century. Therefore, this study is aimed at determining the seroprevalence of HBV and HCV infection among pregnant women attending at Borumeda General Hospital, Dessie, Northeast Ethiopia. Methods. An institution‐based cross‐sectional study was conducted at Borumeda General Hospital from April to May, 2020. A consecutive total of 124 pregnant women who were attending at the antenatal clinic (ANC) of the hospital were included. A structured questionnaire was used to assess the associated factors and some sociodemographic characteristics. Five milliliters of venous blood was collected from each study participant, and a laboratory test using a rapid HBsAg and anti‐HCV kit was done. The data were analyzed using SPSS software version 22. Results. The mean age of the study subjects was 25.81 (±5.967) years. The overall seroprevalence of either HBV or HCV infections among the study participants was 14 (11.3%). HBsAg and anti‐HCV were positive among 10 (8.1%) and 4 (3.2%) study participants, respectively. There was no coinfection result between HBV and HCV among pregnant women. Pregnant women who had abortion history [AOR 5.723; 95% CI 1.100‐29.785, P value = 0.038] and hospitalization history with IV medication [AOR 6.939; 95% CI 1.017‐47.322, P value = 0.048] exhibited statistically significant association with HBV infection. Conclusions. Seroprevalence of HBV and HCV infections among pregnant women was high, and the rate of HBV particularly can be considered in the high endemic category of the WHO classification scheme. Continuous screening of pregnant mothers, provision of hepatitis B vaccine for females at the child‐bearing age, and health education to create awareness about HBV and HCV should be implemented.
A Numerical and Analytical Study of a Stochastic Epidemic SIR Model in the Light of White Noise
Authors: Hussain Shah , Madi Elissa Nadia , Khan Hasib , Abdo Mohammed S.
Published: August 2022

This study examines a novel SIR epidemic model that takes into account the impact of environmental white noise. According to the study, white noise has a significant impact on the disease. First, we establish the solution’s existence and uniqueness. Following that, we explain that the stochastic basic production

R

0

is a threshold that determines the extinction or persistence of the disease. When noise levels are high, we acquire

R

0

<
1

, which causes the sickness to disappear. A sufficient condition for the existence of a stationary distribution is archived when the noise intensity is high, which suggests the infection is prevalent when

R

0

>
1

. Finally, numerical simulations are used to explain the key findings.
Based on the Application Practice of Multifunctional Nanomaterials in Art Design and Industrial Manufacturing Concept
Authors: Cai Wensi , Li Yuze
Published: August 2022

Design is the broad application of discovering new materials and technologies. Nanomaterials have been widely used in product design as a new type of material. The rapid development of nanotechnology is bound to trigger a new design revolution. Combining user needs, design concepts, and material selection, this paper discusses the relationship between user needs and nanoproducts and user needs and nanomaterials. In this paper, the design requirements and related properties of nanomaterials are put forward through the study of the hydration rate of nanomaterials after adding cement, optical microscopy, scanning electron microscopy, and morphology analysis. The effect of the addition of ultrafine materials on the dissolution of ions during cement hydration was studied by ICP technology. The experimental results in this paper show that with the development of the distance, the concentration of calcium ions gradually decreases, and the order of calcium ion concentration is No. 3 tank > No. 4 tank > No. 5 tank. The diffusion of calcium ions was enhanced after the incorporation of nanomaterials, and the diffusion ability of NT to calcium ions was stronger than that of NS group.
A Systematic Review and Meta‐Analysis of the Associations between Immigration Status and Stroke Incidence and Mortality
Authors: Chen Jun-zhen , Wang Hai-mei , Zhu Wenhao
Published: August 2022

Background and Objectives. Increasing global migration to Western Europe, North America, and other high‐income countries makes a study of stroke risk in the immigrant population important. This study is aimed at evaluating the associations between immigration status and stroke risks and determining the risk factors for stroke in immigrant groups. Methods. We thoroughly searched PubMed, Embase, and MEDLINE databases for the literature on stroke risk for immigrants and host populations by January 2022. Fourteen relevant cohort studies from eight countries met the inclusion criteria, and their data were included in this meta‐analysis. Heterogeneity and publication bias were assessed. Results. The results showed that the immigrant groups suffered from a lower incidence rate of stroke compared with the host populations (HR = 0.81, 95% CI 0.71–0.91, P = 0.001), but there was nonsignificant higher mortality of stroke in immigrants (HR = 1.07; 95% CI 0.84–1.36). However, the pooled adjusted incidence HR reduced to 0.67 (95% CI 0.60–0.75) after adjustment for publication bias. Immigrants had a lower stroke incidence compared to long‐term residents, but the association varied with the country of origin, socioeconomic status, residence (urban vs. rural), and comorbid conditions. Discussion. The present systematic review and meta‐analysis implicated that stroke risks are different for immigrants and the host populations; therefore, this knowledge may be useful for developing targeted stroke prevention strategies.
Optimal Allocation of Human Resources Recommendation Based on Improved Particle Swarm Optimization Algorithm
Authors: Wei Jintong
Published: August 2022

People are the most dynamic factor of productivity, and human resource allocation is both the starting point and the end point of human resource management. In modern enterprises, human resource optimization is the scientific and rational allocation of human resources within the enterprise through certain means and methods. The basic concept of particle swarm optimization (PSO) originates from the study of bird predation. It is an evolutionary computation technique based on the swarm intelligence method, which is similar to genetic algorithms and is a population-based optimization tool. This paper is inspired by the ant colony algorithm and introduces the ant colony pheromone and variation algorithm model into the PSO algorithm for further optimization. The application of this improved particle swarm optimization algorithm to the optimal allocation of human resources recommendations is demonstrated by a real case study.
Two-Stage Research on AC/DC Hybrid High-Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control
Authors: Bai Xuefeng , Zhang Yan , Xu Chang , Zhao Zhuyu , Wang Jun
Published: August 2022

DC power grid has the advantages of large power supply capacity, easy access to clean energy, low loss, and easy power control. With the increasing penetration rate of distributed generation and DC load in low-voltage transmission network, the traditional radial AC distribution form develops into AC-DC hybrid form. Large-scale distributed energy access is an important feature of future distribution system. Aiming at the AC-DC hybrid distribution system with soft tie-in switch and voltage source converter, considering the network congestion caused by large-scale access of distributed energy, a two-stage congestion management mechanism is proposed. This strategy solves the congestion problem of AC/DC hybrid transmission network with the help of the power flow control ability of AC/DC transmission network’s own optimization control means and congestion management services provided by distributed energy sources. According to the experiment, the total distributed generation power of DC link is 15 MW, and the load power is 10 MW, that is, the remaining power of DC link is 5 MW, the total distributed generation power of AC link is 8 MW, and the load power is 15 MW, that is, the power shortage of AC link is 7 MW. In the first stage, the tie-in switch, SOP and VSC are coordinated and optimized, and in the second stage, the flexible adjustment ability provided by distributed energy makes up for the deficiency of the adjustment ability of direct control means in some periods of severe congestion and meets the requirements of congestion management of AC-DC hybrid transmission network under high-permeability distributed generation.
Nutritional Value, Medicinal Importance, and Health-Promoting Effects of Dietary Mushroom (Pleurotus ostreatus)
Authors: Lesa Kaisun Nesa , Khandaker Mayeen Uddin , Mohammad Rashed Iqbal Faruque , Sharma Rohit , Islam Fahadul , Mitra Saikat , Emran Talha Bin
Published: August 2022

Pleurotus ostreatus is the second cultivated and most popular edible mushroom after Agaricus bisporus worldwide. As dietary supplements, nutraceuticals like Pleurotus ostreatus that go beyond the usual health benefits of mushrooms are becoming more popular. The objective of this study is to put together a summary of the nutrition information and link it to the possible health benefits and health-improving effects of eating oyster mushrooms. This review is based on secondary data from 102 published articles about P. ostreatus. All papers were examined following predetermined criteria for inclusion and exclusion, and this study contained 83 publications. The high nutritional content and beneficial health effects make P. ostreatus a high-quality food. It makes up for the lack of protein by switching between a diet based on wheat, rice, and maize. Nowadays, P. ostreatus is famous precious functional food ingredients due to the fact they may be cholesterol-free and low in calories, carbohydrates, fat, and sodium. Side by side, they offer crucial nutrients including riboflavin, selenium, potassium, niacin, proteins, and fiber.
Classification of Woven Fabric Faulty Images Using Convolution Neural Network
Authors: Ashraf Rehan , Ijaz Yasir , Asif Muhammad , Haider Khurram Zeeshan , Mahmood Toqeer , Owais Muhammad
Published: August 2022

Convolution neural network (CNN) is one of the most popular machine learning techniques that is being used in many applications like image classification, image analysis, textile archives, object recognition, and many more. In the textile industry, the classification of defective and nondefective fabric is an essential and necessary step to control the quality of fabric. Traditionally, a user physically inspects and classifies the fabric, which is an ineffective and tedious activity. Therefore, it is desirable to have an automated system for detecting defects in the fabric. To address these issues, this research proposes a solution for classifying defective and nondefective fabric using deep learning-based framework. Therefore, in this research, an image processing technique with CNN-based GoogleNet is presented to classify defective and nondefective fabric. To achieve the purpose, the system is trained using different kinds of fabric defects. The performance of the proposed approach was evaluated on the textile texture TILDA dataset, and achieved a classification accuracy of 94.46%. The classification results show that the proposed approach for classifying defective and nondefective fabric is better as compared to other state-of-the-art approaches such as Bayesian, BPNN, and SVM.
A Case of Paediatric Anti-Glomerular Basement Membrane Disease Associated with Thrombotic Thrombocytopenic Purpura
Authors: McAllister Joseph , Nagisetty Pradeep , Tyerman Kay
Published: August 2022

Anti-GBM disease is a rare vasculitis that causes rapid progressive glomerulonephritis and pulmonary haemorrhage. It is usually an adult diagnosis with isolated paediatric cases reported. Thrombotic thrombocytopenic purpura (TTP) is a rare thrombotic microangiopathy mainly affecting adults that causes multiorgan ischaemia, microangiopathic haemolytic anaemia, and thrombocytopenia. We present the first paediatric case of concurrent anti-GBM disease and TTP. A 14-year-old boy presented with acute kidney failure and severe pulmonary haemorrhage due to anti-GBM disease, confirmed on auto-antibody testing. There was thrombocytopenia and moderately low ADAMTS13 activity suggestive of TTP. The renal prognosis was poor with a need for dialysis. He was severely unwell with pulmonary haemorrhages requiring the use of extracorporeal membrane oxygenation (ECMO). His disease was treated with corticosteroids, plasma exchange (PEX), rituximab, and cyclophosphamide, resulting in remission. Anti-GBM disease is rare in children but should be considered in those presenting with acute kidney injury, particularly where there has been exposure to pulmonary irritants. An aggressive presentation warrants aggressive treatment with methylprednisolone, PEX, and cyclophosphamide. Rituximab may benefit patients that have concurrent TTP. TTP may exacerbate pulmonary disease, but complete respiratory recovery is possible. Disease relapse is rare in the paediatric age group, and these patients are candidates for kidney transplantation.
Development and Strategy Analysis of Short Video News Dissemination under the Background of Artificial Intelligence
Authors: Wang Yin , Li Ping
Published: August 2022

With the gradual maturity of artificial intelligence (AI) technology, it is urgent to change and innovate the traditional media communication paradigm. Current research and application areas include language processing, image recognition, AI systems, intelligent video technology, and text recognition. With the rapid development of artificial intelligence technology, it is used in all walks of life in society. All sectors of society have also set off the exploration and application of artificial intelligence. In the field of news communication, artificial intelligence technology brings opportunities and challenges to the news industry in publishing news content forms and organizations. Exploring the new development trends and countermeasures of the news industry in the era of artificial intelligence has become a key topic for the news communication industry and academia. With the support of the huge communication network, the information transmission of short video news is more abundant. While people obtain information, it can also enhance the interactivity of the news. In a fast-paced society, short video news is undoubtedly closer to life. However, due to some reasons, human factors lead to incomplete access to information. In this paper, an intelligent neural network is proposed to be applied to an intelligent robot or intelligent system so that it can better obtain information to edit short video news and disseminate it, and compare it with the existing such machines or systems on the market today. This paper analyzes the development of short video news dissemination based on artificial intelligence and proposes improvement strategies based on specific examples.
Accuracy of Magnetic Resonance Imaging in Diagnosing Placenta Accreta: A Systematic Review and Meta-Analysis
Authors: Lin Huien , Li Li , Lin Yi , Wang Wenhuan
Published: August 2022

Background. The disease burden and incidence of placenta accreta are increasing worldwide. The morbidity and mortality associated with undiagnosed placenta accreta are both high, highlighting the important of early diagnosis and intervention. In recent years, increasing studies are exploring the diagnostic value of magnetic resonance imaging (MRI) for placenta accreta. Compared with traditional ultrasound, MRI has the advantages of high-resolution, multiangle imaging, and less influence by amniotic fluid and intestinal gas. However, the reported diagnostic accuracy among studies was inconsistent. Therefore, this study is aimed at exploring the diagnostic value of MRI for placenta accreta by systematic review and meta-analysis. Methods. Relevant literature were systematically searched in PubMed, Ovid, Embase, ScienceDirect database, CNKI, and Wanfang database by using medical subject headings and relevant diagnostic terminologies such as sensitivity, specificity, likelihood ratio, receiver-operating characteristic curve, and area under the curve. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the curve of the included literature were analyzed using stata 17.0 software. Publication bias of the included studies was assessed by Deek’s funnel plot. Cochrane

Q

statistics and

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statistics were used to test the heterogeneity. Results. A total of 10 primary publications, comprising 4 retrospective studies and 6 prospective studies, were included in this meta-analysis. The gestational weeks of pregnant women ranged from 32 to 35 weeks, and the sample size ranged from 37 cases to 575 cases. Only 4 studies used the blind method in the process of clinical diagnosis by MRI. The combined sensitivity, specificity, and area of curve under summary receiver-operating characteristic for the diagnosis of placenta accreta by MRI were 0.88 (95% CI, 0.79-0.93), 0.79 (95% CI, 0.68-0.87), and 0.91 (95% CI, 0.88.-0.93), respectively. The combined positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and diagnostic score were 4.17 (95% CI, 2.62-6.66), 0.16 (95% CI, 0.09-0.29), 26.61 (95% CI, 10.22-69.28), and 3.28 (95% CI, 2.32-4.24), respectively. No publication bias was noted. Conclusion. Diagnosis of placenta accreta by MRI has good accuracy and predictive value that warrants clinical promotion.
Synthetic Epileptic Brain Activities with TripleGAN
Authors: Xu Meiyan , Jie Jiao , Zhou Wangliang , Zhou Hefang , Jin Shunshan
Published: August 2022

Epilepsy is a chronic noninfectious disease caused by sudden abnormal discharge of brain neurons, which leads to intermittent brain dysfunction. It is also one of the most common neurological diseases in the world. The automatic detection of epilepsy based on electroencephalogram through machine learning, correlation analysis, and temporal-frequency analysis plays an important role in epilepsy early warning and automatic recognition. In this study, we propose a method to realize EEG epilepsy recognition by means of triple genetic antagonism network (GAN). TripleGAN is used for EEG temporal domain, frequency domain, and temporal-frequency domain, respectively. The experiment was conducted through CHB-MIT datasets, which operated at the latest level in the same industry in the world. In the CHB-MIT dataset, the classification accuracy, sensitivity, and specificity exceeded 1.19%, 1.36%, and 0.27%, respectively. The crossobject ratio exceeded 0.53%, 2.2%, and 0.37%, respectively. It shows that the established deep learning model of TripleGAN has a good effect on EEG epilepsy classification through simulation and classification optimization of real signals.
Regulation of the Keap1-Nrf2 Signaling Axis by Glycyrrhetinic Acid Promoted Oxidative Stress-Induced H9C2 Cell Apoptosis
Authors: Jiang Zhangyu , Wang Yanqing , Xi Xiuli , Cai Weibin , Liu Changhui , Ye Ran , Yang Liu , Zhang Song , Zhang Rong , Xu Qin , Yang Lei
Published: August 2022

Excessive reactive oxygen species (ROS) could interfere with the physiological capacities of H9C2 cells and cause cardiomyocyte apoptosis. Glycyrrhetinic acid (GA), one of the main medicinal component of Glycyrrhetinic Radix et Rhizoma, shows toxic and adverse side effects in the clinic setting. In particular, some studies have reported that GA exerts toxic effects on H9C2 cells. The purpose of this study is to assess the effect of GA-induced oxidative stress on cultured H9C2 cells and reveal the relevant signaling pathways. LDH assay was used to assess cell damage. Apoptosis was detected using Hoechst 33242 and a propidium iodide (PI) assay. An Annexin V-fluorescein isothiocyanate/PI double-staining assay was utilized to investigate GA-induced apoptosis in H9C2 cells. The expression level of specific genes/proteins was evaluated by RT-qPCR and Western blotting. Flow cytometry and DCFH-DA fluorescent testing were used to determine the ROS levels of H9C2 cells. The potential mechanism of GA-induced cardiomyocyte injury was also investigated. GA treatment increased ROS generation and mitochondrial membrane depolarization and triggered caspase-3/9 activation and apoptosis. GA treatment also caused the nuclear translocation of NF-E2-related factor 2 after its dissociation from Keap1. This change was accompanied by a dose-dependent decline in the expression of the downstream target gene heme oxygenase-1. The findings demonstrated that GA could regulate the Keap1-Nrf2 signaling axis and induce oxidative stress to promote the apoptosis of H9C2 cells.