bluuebunny/crossref_metadata_2025 huggingface dataset:
Toward More Efficient Statistical Debugging with Abstraction Refinement
Authors: Zuo Zhiqiang , Niu Xintao , Zhang Siyi , Fang Lu , Khoo Siau Cheng , Lu Shan , Sun Chengnian , Xu Guoqing Harry
Published: June 2022

Debugging is known to be a notoriously painstaking and time-consuming task. As one major family of automated debugging, statistical debugging approaches have been well investigated over the past decade, which collect failing and passing executions and apply statistical techniques to identify discriminative elements as potential bug causes. Most of the existing approaches instrument the entire program to produce execution profiles for debugging, thus incurring hefty instrumentation and analysis cost. However, as in fact a major part of the program code is error-free, full-scale program instrumentation is wasteful and unnecessary.

This article presents a systematic abstraction refinement-based pruning technique for statistical debugging. Our technique only needs to instrument and analyze the code partially. While guided by a mathematically rigorous analysis, our technique is guaranteed to produce the same debugging results as an exhaustive analysis in deterministic settings. With the help of the effective and safe pruning, our technique greatly saves the cost of failure diagnosis without sacrificing any debugging capability.

We apply this technique to two different statistical debugging scenarios: in-house and production-run statistical debugging. The comprehensive evaluations validate that our technique can significantly improve the efficiency of statistical debugging in both scenarios, while without jeopardizing the debugging capability.
Travel Time Prediction Method Based on Spatial-Feature-based Hierarchical Clustering and Deep Multi-input Gated Recurrent Unit
Authors: Fang Hao , Liu Yiwei , Chen Chi-Hua , Hwang Feng-Jang
Published: June 2022

Accurate
travel time prediction (TTP)
is a significant aspect in the
intelligent transportation system (ITS)
. Travel times of certain road segments explicitly reflect the traffic conditions of those sections. Effective TTP of road segments is instrumental in route planning, traffic control, and traffic management. However, the accuracy of TTP is greatly affected by the intricate topological structure of traffic network and the dynamics of traffic flow over time. This paper develops a TTP method based on the
spatial-feature-based hierarchical clustering (SFHC)
and
deep multi-input gated recurrent unit (DMGRU)
. The proposed two-stage method is capable of capturing the spatial-temporal features of traffic network. Specifically, the SFHC divides the road segments into several clusters having similar traffic features, and then the clustered data is fed into the DMGRU for TTP. Our experiments conducted on the practical dataset demonstrate that the designed prediction method can achieve the
mean absolute percentage error (MAPE)
of 3.3109% and
mean absolute error (MAE)
of 2.5658, which outperform various combinations of baseline clustering algorithms and prediction models.
Deep Neural Network Model-Assisted Reconstruction and Optimization of Chinese Characters in Product Packaging Graphic Patterns and Visual Styling Design
Authors: Zhu Danjun , Liu Gangtian
Published: June 2022

Chinese character fonts not only carry the long history of Chinese civilization, but also burst out modern design art elements with distinctive Chinese characteristics. This article first analyzes the origin and writing form of several ancient Chinese characters and draws out the influence of the historical evolution of ancient Chinese characters on Chinese culture. In the basic theoretical structure of font design, traditional art elements and modern font design are integrated, and specific design cases are analyzed. A Chinese character packaging quality detection method combining machine vision and a lightweight convolutional neural network is proposed. First, the method based on threshold segmentation and affine transformation in machine vision is used to perform threshold processing on the image to be tested, and the Chinese character region is tilted and cropped; then, the network structure of the classification algorithm is designed according to the requirements of image features and defect recognition. The field images are produced, a dataset of Chinese character packaging defects is established, and then the proposed Chinese character packaging defect recognition network is verified and deployed to test the accuracy and detection speed of the algorithm deployed on the Jetson Nano embedded platform. Combined with theoretical research and case analysis, the design of packaging design series is practiced with the idea of combining Chinese character art design and classical culture.
Construction of Educational Resource Metadata Management Platform Based on Service-Oriented Architecture
Authors: Zhang Jingbin , Qi Tianxiang
Published: June 2022

The existing cloud sharing system of educational resources is in the form of centralized management, which has the problems of small number of concurrent users and low score of resource retrieval results and cannot meet the current needs of implicit educational resource sharing. Therefore, a cloud sharing system of college implicit educational resources based on service architecture is proposed. At present, the sharing of educational resources mainly includes network teaching, distance education, and other methods. These schemes alleviate the sharing problem of educational data resources to a certain extent. However, the sharing and rational integrated utilization of educational application software are still under exploration, and there is no mature solution at present. At present, there is a lack of unified planning for the construction of the educational resource database of the management cadre college, and there are problems such as repeated construction, complex quantity, and nonstandard form, which directly leads to the failure of effective dissemination of resource information in the network distance education system, which is an urgent problem to be solved in the distance education system of the management cadre college. This paper first understands some domestic and foreign standardization and development of educational resources. Then, it introduces the ontology theory and the basic theory of metadata. At present, the construction of educational resource database in colleges and universities in China lacks unified planning, and there are problems such as repeated construction, complex quantity, and nonstandard form, which makes the resource information in the network distance education system unable to be shared and disseminated effectively. In order to improve the utilization of online educational resources and share the data of resource databases with different structures, a metadata management platform model of educational resources is designed. As a new architecture idea, service-oriented architecture can package existing assets and reuse existing assets. It can also minimize the impact of demand changes. This paper puts forward the process of metadata management under the service architecture and independently develops a metadata management platform suitable for the development and use of service mode. It is combined with automatic testing and continuous integration to effectively improve the data quality and development efficiency of service development.
Research on Performance Management Evaluation of Public Sports Venues Based on GFAHP
Authors: Li Lei , Xu Yixiong , Li Tengda , Liu Yang
Published: June 2022

The importance of public stadiums has become increasingly prominent, but the efficiency of its performance management operation mechanism is low, which affects the overall operation efficiency of the whole stadium. However, due to the diversity and incompleteness of its data types, the traditional analytic hierarchy process is difficult to construct its index system. This article introduces the grey fuzzy analytic hierarchy process. Based on the analysis of its performance management problems, this article constructs the index system and makes an application case analysis. The results show that the GFAHP method (group fuzzy analytic hierarchy process) can ensure the integrity of information data. In data classification, the highest accuracy of sample classification is 40.13%, and the relative error rate is basically less than 6%. The performance effect is much higher than other classification algorithms. At the same time, the total score of the evaluation index system constructed by GFAHP is more than 3, the overall operation is good, and the risk evaluation effect of each influencing index factor is also good. Using the grey analytic hierarchy process to evaluate the operation and performance management of public stadiums and gymnasiums will help managers do a good job in risk control and quality dynamic adjustment, so as to improve the operation efficiency and benefit of stadiums and gymnasiums.
The Auxiliary Role of College Music in Teaching in View of Artificial Intelligence
Authors: Liu Jie
Published: June 2022

Music is a common art and it is a jewel of human civilisation. In the course of music’s development, the evaluation of music teaching is an inevitable step in the development of quality music. Universities are important places that abound with musical souls and their contribution to the development of music has been outstanding. But with the development of the times, university music has been hampered in the field of teaching and learning. As an important branch in the field of computer science and information technology, artificial intelligence technology contains many intersecting and comprehensive subject connotations, bringing brand-new elements to music education. It has also had an important impact on the development of music teaching. The article focuses in depth on the traditional process of music development in terms of the characteristics and ways of teaching music. Based on this, the article further explores the integration of artificial intelligence and music and analyses the role of emerging technologies as an aid to music from the perspective of the times. And this article uses emotion recognition as an evaluation index to explore the evaluation role of artificial intelligence technology in college music teaching, and improve the quality and efficiency of music teaching. The experimental results show that the teacher’s positive emotion rate based on image data is 57.8%, and the student’s positive emotion rate is 44.5%; the teacher’s positive emotion rate based on voice data is 53.3%, and the student’s positive emotion rate is 51.1%. The classroom emotion is negative at 7–13 minutes, the classroom emotion continues to be low at 28–40 minutes, and the teacher and student emotions are more positive at 13–28 minutes.
Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model
Authors: Bantan Rashad A. R. , Shafiq Shakaiba , Tahir M. H. , Elhassanein Ahmed , Jamal Farrukh , Almutiry Waleed , Elgarhy Mohammed
Published: June 2022

In this paper, a new distribution named as unit-power Weibull distribution (UPWD) defined on interval (0,1) is introduced using an appropriate transformation to the positive random variable of the Weibull distribution. This work offers quantile function, linear representation of the density, ordinary and incomplete moments, moment-generating function, probability-weighted moments,

L

-moments, TL-moments, Rényi entropy, and MLE estimation. Additionally, several actuarial measures are computed. The real data applications are carried out to underline the practical usefulness of the model. In addition, a bivariate extension for the univariate power Weibull distribution named as bivariate unit-power Weibull distribution (BIUPWD) is also configured. To elucidate the bivariate extension, simulation analysis and application using COVID-19-associated fatality rate data from Italy and Belgium to conform a BIUPW distribution with visual depictions are also presented.
Experimental Study on Compressive Strength of Ultrahigh Performance Concrete Prefabricated Wall Structure
Authors: Cao Jianfeng , Dai Yunfei , Hu Liqiang , luo Yu , Long Fang , Ding Shiying
Published: June 2022

In order to study the influence of two parameters, height-thickness ratio and reinforcement ratio, on the compressive performance of prefabricated recycled concrete block-filled core walls, the author proposes a test method for the compressive strength of wall structures. In this method, 9 walls of dry and full-fill masonry are used, and the test measuring device and the arrangement of measuring points are designed to carry out the loading test. The results showed that reinforcement can significantly improve the axial compressive bearing capacity of the wall, but the out-of-plane displacement of the unreinforced wall is smaller than that of the reinforced wall. The larger the height-to-thickness ratio, the better the ductility of the reinforced core wall; the measured value of the axial compressive bearing capacity of the core-filled wall and the mean and coefficient of variation of the ratio to the standard calculated value were 1.49 and 0.13, respectively. The measured value is 34% to 68% higher than the standard calculated value. In conclusion, based on the test data and GB 50003–2011 “Code for Design of Masonry Structures,” the theoretical calculation formula of the compressive bearing capacity of the prefabricated recycled concrete block-filled core wall is given.
Sonic Hedgehog Promotes Proliferation and Migration of Fibroblast-Like Synoviocytes in Rheumatoid Arthritis via Rho/ROCK Signaling
Authors: Hu Zaiying , Chen Yingdi , Zhu Shangling , Feng Xiaoxue , Zhang Baiyu , Huang Jianlin
Published: June 2022

Objective. To explore the underlying mechanism of the sonic hedgehog (Shh) signaling pathway in promoting cell proliferation and migration in fibroblast-like synoviocytes (FLS) from patients with rheumatoid arthritis (RA). Method. FLS were collected from 8 patients with RA and 3 patients with osteoarthritis (OA). The expression of smoothened (Smo, the Shh pathway activator) was quantified by real-time PCR and western blot. FLS were incubated with cyclopamine (a Smo antagonist), purmorphamine (a Smo agonist), Y27632 (a Rho/ROCK signaling inhibitor), or a combination of purmorphamine and Y27632, respectively. Cell proliferation was examined using cell counting kit-8 and cell cycle assays while cell migration was measured with Transwell and wound healing assays. Results. The expression of Smo was higher in FLS from RA patients than from OA patients (

p
<
0.05

). RA-FLS treated with purmorphamine showed significantly activated proliferation (119.69 vs. 100.0) and migration (252.38 vs. 178.57) compared to untreated cells (both

p
<
0.001

). RA-FLS incubated with cyclopamine or a combination of purmorphamine and Y27632 exhibited significant suppression of proliferation (81.55 vs. 100.0 and 85.84 vs. 100.0) and migration (100 vs. 178.57 and 109.52 vs. 185) ability (all

p
<
0.001

). Conclusion. Our results demonstrated that Shh promoted cell growth and migration of FLS in RA patients through the Rho/ROCK signaling pathway.
Effects of Obstructive Sleep Apnea-Hypopnea Syndrome and Cognitive Function in Ischemic Stroke Based on Linear Regression Equation
Authors: Ji Peng , Kou Qixing , Qu Xueping , Sun Gen , Liu Songcan , Zhang Jiewen
Published: June 2022

The objective of this research is to study the effect of obstructive sleep apnea-hypopnea syndrome on cognitive function of stroke. Based on linear regression equation and Montreal Cognitive Assessment Scale, the degree of cognitive impairment in OSAHS patients was evaluated and the influencing factors of OSAHS-induced cognitive impairment and the correlation between the degree of OSAHS and cognitive impairment were explored. The results are as follows: about 68% of OSAHS patients have cognitive dysfunction, and the incidence of cognitive dysfunction is positively correlated with OSAHS; cognitive impairment of OSAHS patients was associated with age, obesity, years of schooling, and intermittent nocturnal hypoxia or hypoventilation; the severity of cognitive dysfunction of OSAHS patients was positively correlated with age and obesity but negatively correlated with education level; Logistic regression analysis results showed that there were three factors that were finally entered into the regression equation, namely, LSaO2, BMI, and AHI, and the Logistic regression equation obtained was as follows:

Logist
P
=
−
0.109

X

1

+
0.785

X

2

+
1.228

X

3

. This study helps clinical workers to detect and intervene the impaired cognitive ability of patients with OSAHS early, so as to reduce the incidence and mortality of related complications and improve the quality of life of patients.
Construction of Artificial Intelligence Application Model for Supply Chain Financial Risk Assessment
Authors: Luo Shutong , Xing Min , Zhao Jialu
Published: June 2022

An artificial intelligence integrated application model of supply chain financial risk assessment is constructed. Based on the financial data and supply chain data of listed companies in China’s new energy electric vehicle industry, the supply chain financial credit risk evaluation index system is constructed. The data samples are preprocessed by PCA as the input data of the support vector machine, which effectively solves the problem of high-dimensional data in supply chain finance. By improving the inertia weight of particle swarm optimization and introducing mutation operation, a dynamic mutation particle swarm optimization algorithm is proposed to avoid the problem of particles falling into a local minimum in the process of optimization. Finally, the improved optimization algorithm is used to optimize the parameters of SVM and input AdaBoost integration as a weak classifier to build an integrated model with good performance in many aspects. The model has been successfully applied to the credit risk assessment of China’s new energy vehicle supply chain finance. The comparison with other models shows that the constructed model has certain advantages in performance.
Analysis and Comparison of Motion Biomechanics Characteristics of Squat Jump and Half-Squat Jump
Authors: Zhao Manman , Zhang Jinjin
Published: June 2022

In order to study the biomechanical characteristics of squat jump and half-squat jump, analysis and comparison were made. This paper tests and analyzes the kinematics and dynamics of 63 young men’s squat jump, and synchronously collects the kinematics and dynamics data of subjects in the process of weight-bearing squat, in-situ free jump, and high platform landing. The experimental results showed that there was significant difference in knee joint angle at the time of toe off (

P

 < 0.05), and there was significant difference in ankle joint angle at the time of toe off (

P

 < 0.05). The time law of squat jump and semi squat jump in vertical jump was the same. In vertical jump, the reaction time law of squat jump and semi squat jump is the same, and the recovery standing time is the longest, followed by the take-off time and reaction time. The two vertical jump methods have no effect on the height, time, and speed of exercise take-off.
An Ant-Hocnet Routing Protocol Based on Optimized Fuzzy Logic for Swarm of UAVs in FANET
Authors: Khan Saifullah , Khan Muhammad Zahid , Khan Pervez , Mehmood Gulzar , Khan Ajab , Fayaz Muhammad
Published: June 2022

Drones or unmanned aircraft are commonly known as unmanned aerial vehicles (UAVs), and the ad hoc network formed by these UAVs is commonly known as Flying Ad Hoc Network (FANET). UAVs and FANET were initially associated with military surveillance and intelligence gathering; moreover, they are now excessively used in civilian roles including search and rescue, traffic monitoring, firefighting, videography, and smart agriculture. However, due to the distinctive architecture, they pose considerable design and deployment challenges, prominently related to routing protocols, as the traditional routing protocols cannot be used directly in FANET. For instance, due to high mobility and sparse topology, frequent link breakage and route maintenance incur high overhead and latency. In this paper, we employ the bio-inspired Ant Colony Optimization (ACO) algorithm called “Ant-Hocnet” based on optimized fuzzy logic to improve routing in FANET. Fuzzy logic is used to analyze the information about the status of the wireless links, such as available bandwidth, node mobility, and link quality, and calculate the best wireless links without a mathematical model. To evaluate and compare our design, we implemented it in the MATLAB simulator. The results show that our approach offers improvements in throughput and end-to-end delays, hence enhancing the reliability and efficiency of the FANET.
Comparison of Rhomboid Intercostal Block, Erector Spinae Plane Block, and Serratus Plane Block on Analgesia for Video-Assisted Thoracic Surgery: A Prospective, Randomized, Controlled Trial
Authors: Zhang Jian-Guo , Jiang Chen-Wei , Deng Wei , Liu Fen , Wu Xiao-Ping
Published: June 2022

Background. Thoracic surgery is one of the most painful surgical steps. An important tool for managing postoperative pain is effective postoperative analgesia. This research aimed at comparing the analgesic roles of three new fascial block techniques in the postoperative period after video-helped thoracoscopic operation (VATS). Methods. We randomly allocated ninety patients into three teams experiencing ultrasound-directed serratus plane block, erector spinae plane block, and the rhomboid intercostal block, respectively. 0.4% ropivacaine of 20 mL was received by all groups. Outcomes. At 0–12 hours, sufentanil consumption was significantly lower in the RIB (35.2 ± 3.3 mg) and ESP (35.4 ± 2.8 mg) groups than that in the SAB (43.3 ± 2.7 mg) group

P
<
0.001

, and no obvious diversity in sufentanil consumption was shown between the RIB and ESP groups

P
=
0.813

. At 12–24 hours, sufentanil consumption was greatly lower in the RIB and ESP groups than that in the SAB group

P
<
0.001

, and no great diversity in sufentanil consumption was found between the RIB and ESP groups

P
=
0.589

. No great diversity in sufentanil consumption was shown between the RIB (50.4 ± 1.4 mg), ESP (50.4 ± 1.5 mg), and SAB (51.0 ± 1.7 mg) groups at 24–48 hours

P
=
0.192

. At 6, 12, 18, and 24 hours, the postoperative dynamic NRS scores were significantly lower in the RIB and ESP groups than in the SAB group (

P
<
0.05

for all contrasts). Nevertheless, no great diversity was observed in postoperative pain marks at 0.5, 1, 3, 6, 12, 18, 24, 36, and 48 hours after the surgery across the three groups. No statistical diversity was found in the postoperative NRS mark between groups RIB and ESP within 48 hours after surgery in case of active patients (

P
<
0.05

for all contrasts). At 24 hours after surgery, a significant difference in IL-1β and IL-6 inflammatory factor concentrations was found between RIB and ESP compared with SAB block (

P
<
0.05

for all contrasts). However, no great diversities were observed in IL-1β, and IL-6 inflammatory factor concentrations between RIB, ESP, and SAB at 24 hours preoperatively and at 48 hours postoperatively (

P
<
0.05

for all comparisons). Conclusion. The dosage of sufentanil can be effectively reduced by ultrasound-directed rhomboid intercostal block and erector spinae plane block within 24 hours after VATS surgery, and pain can be relieved effectively within 24 hours by comparing with serratus plane block.
The Efficacy and Safety of Xinjia Xuanbai Chengqi Granules in Acute Exacerbation of COPD: A Multicentre, Randomised, Double-Blind, Controlled Trial
Authors: Qi Ruihan , Zhang Hongchun , Li Demin , Gao Feng , Miao Qing , Chen Sheng , Huang Yan , Wu Lei , Lu Zhenhui , Hu Haibo , Li Erran , Chen Zhibin
Published: June 2022

Purpose. The study aimed to explore the efficacy and safety of Xinjia Xuanbai Chengqi granules (XJXBCQ) combined with conventional medicine in the treatment of acute exacerbation of chronic pulmonary disease (AECOPD). Patients and Methods. This multicentre, double-blind, parallel, placebo-controlled, randomised clinical trial conducted in China from January 2019 to February 2021 recruited 330 participants who were allocated into three groups. All participants underwent conventional basic treatment with oxygen therapy, antibiotics, and a bronchodilator. Besides, group A received XJXBCQ granules and budesonide suspension for inhalation; group B received XJXBCQ granules and half dosage of budesonide suspension; and group C received budesonide suspension and a placebo. All therapies lasted for 5 days, and participants were followed up for 30 days after discharge. The primary outcomes were efficacy, traditional Chinese medicine (TCM) syndrome score, and clinical symptom score. Secondary outcomes included the blood gas analysis, serum inflammatory markers, adverse events, mortality, theoretical discharge time, actual hospitalisation time, proportion of patients requiring invasive mechanical ventilation, proportion of patients transferred to an intensive care unit (ICU), and readmission rate within 30 days after discharge. Results. XJXBCQ adjunct with conventional treatment could significantly improve the total efficacy (

P
<
0.05

). Meanwhile, group A showed significantly better results than group C in the TCM syndrome score, phlegm score, and Wexner constipation score (

P
<
0.05

). For modified British medical research council (mMRC), on day 3 (−0.17, 95% confidence interval [CI]: −0.33–−0.01) and day 4 (−0.20, 95% CI: −0.39–−0.02), group A performed statistically better than group C. No significant differences in other secondary outcomes were detected. Conclusion. XJXBCQ is beneficial and safe for AECOPD treatment and could be considered an adjunctive therapy for promoting the relief of clinical symptoms. This trial is registered with ChiCTR1800016915.
circIFT80 Functions as a ceRNA for miR-142, miR-568, and miR-634 and Promotes the Progression of Colorectal Cancer by Targeting β-Catenin
Authors: Liu Ning , Jiang Fan , Chen Zhiju , Liu Xin , Zhiming F. U. , Wang Bao-chun , LV Yunfu
Published: June 2022

Colorectal cancer (CRC) is the third most common form of malignant tumor and is characterized by high rates of proliferation and metastases. Circular RNAs (circRNAs) are a form of noncoding and closed loop RNA molecules and play vital roles in the progression of various types of cancer in humans. Here, we used circRNA microarray sequencing technology to analyze the different circRNAs between CRC tissues and normal tissues and explore the role of circIFT80 in progression of colorectal cancer. In this present study, we found that circIFT80 was abnormally overexpression in colorectal cancer tissues and tumor cells. While knockout circIFT80 in HT29 cell or SW480 cells, the proliferation, and migration of the cells were inhibited, the cell cycle was arrested in G2/M phase, and the cell apoptosis was increased. And then, we found circIFT80-positive correlation with CTNNB1 (β-catenin) by sponging miR-142, miR-568, and miR-634 upregulated the gene expression. These miRNAs which targeted β-catenin mRNA were confirmed by dual-luciferase reporter system and RNA-pulldown. In addition, xenograft tumor experiments showed that circIFT80 accelerated the tumorigenesis of CRC in vivo. In conclusion, our work reveals the impacts of circIFT80 as ceRNA in the progression of CRC, by which sponging miR-142, miR-568, and miR-634 enhanced the expression levels of β-catenin and activation Wnt/β-catenin pathway. Collectively, our data indicate that circIFT80 serves as an oncogene in CRC and represents a novel candidate for diagnosis and treatment.
Active Vibration Control of a Large Flexible Appendage Using a Novel Joint Mechanism
Authors: Hu Wei , Wu Jianming , Zhu Qinghua , Shen Jie , Zheng Xunjiang , Sun Shaoyong , Mao Xiaonan , Cao Honglei , Tang Yucong
Published: June 2022

With the evolution of space exploration, large flexible appendages have been developed in space structures. External perturbation or attitude maneuvering stimulates the vibration (low frequencies) of the aforementioned structures. In this research, a novel joint mechanism was developed in conjunction with active control to inhibit the low-frequency vibration of a large flexible appendage. A compact active joint, based on the idea of electromagnetic direct drive, was designed. The dynamic equations for the large flexible appendage system and the active joint were derived using the Lagrange function with the assumed-modes approach. Single- and multi-frequency excitations were simulated by two noncontact strategies for periodic vibration stimulation along the direction of rotation. The research results revealed that the interference signal had a primary frequency bandwidth of 0.07–0.63 Hz, and the vibration attenuation was prominent between 5.95 and 32.41 dB within the valid bandwidth. Effective inhibition of both the larger and the smaller amplitude vibrations at frequencies lower than 1 Hz could be realized using the proposed active joint without attachment of intelligent materials onto the flexible appendage surface.
An Analysis Method of Exercise Load in Physical Training Based on Radial Basis Neural Network Model
Authors: Li Shouxue , Ma Xiao
Published: June 2022

In the training process of professional athletes, to optimize the training plan and make the athletes play the best competitive state at a special time point, it is usually achieved by controlling the training load and active and effective recovery process. For the general public, daily exercise is mainly for physical fitness and physical rehabilitation. Whether it is a professional athlete or the general public, there are times when injuries occur during sports. The appropriate degree of exercise load varies from person to person. According to different sports, people’s exercise suitability is also different. Therefore, it is meaningful to analyze and monitor the exercise load of the athlete during exercise. This paper proposes to use radial basis neural network (RBFNN) in the analysis of sports f-load of athletes. RBFNN is a kind of neural network that relies on error backpropagation for parameter adjustment, and its convergence speed is slow. When the data dimension is large and the amount of data is large, it will affect the classification accuracy of the data. For this reason, this paper integrates the gray wolf optimization algorithm (GWO) and RBFNN, and applies GWO to the initial value determination of weights and thresholds, which can effectively reduce the adjustment range of parameters and improve the accuracy of data classification. The model can more accurately analyze the exercise load state of athletes during exercise. The experimental results show that the high-quality heart rate data can be classified based on the model used in this paper, so that the exercise load state can be correctly judged. This has a good reference value for the analysis of exercise load during sports training and the next monitoring.
Analysis of the Coupled and Coordinated Relationship between Emission of Carbon: International Growth of Economy-Conservation of the Environment in China
Authors: Lan Zhenfeng
Published: June 2022

The coordinated and orderly development of both growth of economy and conservation of the environment is an important part of enhancing regional support capacity and achieving sustainable development. However, at the same time, the problem of environmental pollution and ecological damage in the province cannot be ignored more and more because of the lower resource utilization efficiency. The relationship between the emission of carbon and the growth of economy is a complex one. Energy, as an inherent driving factor of growth of economy, inevitably leads to the generation of emission of carbon while promoting the growth of economy. In such a context, how to reconcile energy consumption, emission of carbon, and economic growth is particularly important on the road to developing a low-carbon economy in China. The coordination of energy, economic, and environmental systems has a great impact on economic and social development, and only the coordinated development of energy, economic, and environmental systems is an important prerequisite to achieve sustainable economic and social development. This article frames the coupled coordination of emission of carbon international growth of the economy conservation of the environment in China and builds a theoretical foundation by defining relevant concepts and theories, summarizing the current situation of development, analyzing existing problems, and sorting out related mechanisms. The experimental results show that the results of lnc, lngdp, and lngdp2 are all at the 3% confidence level, so the coupled coordination model is very feasible. Therefore, this study can better play the role of the promotion between the two and use the coupled coordination model to quantitatively measure and analyze the coupling state of the emission of carbon and ecological environment in China, and deeply analyze the coupling state of growth of economy and ecological environment, so as to better realize the win-win situation of sustainable development of international growth of economy and protection of ecological environment.
Immature Brain Cortical Neurons Have Low Transcriptional Competence to Activate Antiviral Defences and Control RNA Virus Infections
Authors: Narayanan Divya , Moily Nagaraj , McQuilten Hayley A. , Kedzierska Katherine , Mackenzie Jason M. , Kedzierski Lukasz , Fazakerley John K.
Published: June 2022

Virus infections of the central nervous system (CNS) cause important diseases of humans and animals. As in other tissues, innate antiviral responses mediated by type I interferons (IFNs) are crucially important in controlling CNS virus infections. The maturity of neuronal populations is an established critical factor determining the outcome of CNS virus infection. Using primary cultures of mouse cortical neurons, we investigated the relationships between neuronal maturation, type I IFN responses, and the outcome of Semliki Forest virus infection. The virus replicated better, infected more cells, and produced higher titres of infectious viruses in immature neurons. Complete transcriptome analysis demonstrated that resting immature neurons have low transcriptional competence to mount antiviral responses. They had no detectable transcription of the genes Ddx58 and Ifih1, which encode key RNA virus cytoplasmic sensors RIG-I and MDA5, and very low expression of genes encoding key regulators of associated signalling pathways. Upon infection, immature neurons failed to mount an antiviral response as evidenced by their failure to produce chemokines, IFNs, and other cytokines. Treatment of immature neurons with exogenous IFNβ prior to infection resulted in antiviral responses and lower levels of virus replication and infectious virus production. In contrast, resting mature neurons generated a robust antiviral response. This was augmented by pretreatment with IFNβ. Infection of mature neurons derived from IFNAR−/− mice did not make an antiviral response and replicated virus to high levels.
Speech in Noise: Implications of Age, Hearing Loss, and Cognition
Authors: Kocabay Aysun Parlak , Aslan Filiz , Yüce Deniz , Turkyilmaz Didem
Published: June 2022

Introduction: Individuals with hearing loss have reduced hearing sensitivity and may not adequately process the temporal cues in acoustic signals. Cognitive skills that decrease with aging and hearing loss contribute negatively on the ability to understand speech. Hence, they may experience communication problems in noisy environments. The aim of the study was to investigate the effect of sloping high-frequency hearing loss on speech perception in noise and to examine the impact of temporal and cognitive processing in young and middle-age adults. Methods: Speech in noise (SIN), temporal processing, and cognitive tests were conducted to hearing loss and normal hearing individuals aged 18–59 years. The measurements included the matrix sentence test, binaural temporal fine structure sensitivity (TFS) test, Visual Aural Digit Span (VADS), and Auditory Verbal Learning Test (AVLT). Twenty participants with normal hearing were recruited in the control group, whereas 20 participants with hearing loss at high frequencies were composed of the study group. Results: Hierarchical regression analysis for SIN was performed by entering 3 separate blocks of independent variables. We entered age and hearing loss into the first block, which explained a significant amount of variability in SIN (R2 = 0.72, p < 0.001). Block 2 was comprised of scores from TFS sensitivity test, and this independent variable characterized temporal processing (R2 change = 0.002, p < 0.001). Block 3 was consisted of scores from VADS test and AVLT; these variables characterized cognitive processing and accounted for a good portion of SIN variance (R2 change = 0.04, p < 0.001). The age, hearing loss, and VADS contributed independently in the presence of all independent variables. Conclusion: The final model accounted for 76.2% of the variance in SIN. The results suggested that sloping hearing loss, aging, and cognitive decline affected auditory performance, and the poor performance starts from an early age. Additionally, the findings indicated that a more comprehensive approach might be recommended to evaluate the listening skills and identify communication problems.
A long short-term memory based prediction model for transformer fault diagnosis using dissolved gas analysis with digital twin technology
Authors: Sarma Gadepalli Srirama , Reddy Bumanapalli Ravindranath , Nirgude Pradeep , Naidu Pudi Vasudeva
Published: June 2022

The most significant tool for defect diagnostics in transformers is dissolved gas analysis (DGA). The time series prediction of dissolved gas levels in oil, when combined with dissolved gas analysis, provides a foundation for transformer fault diagnosis and an early warning. A long short-term memory (LSTM) based prediction model is developed in this paper to train the digital twin for identifying the essential fault in the transformer via DGA. The model is fed with three different gas concentrations as input. This study achieves the performance evaluation in terms of validation accuracy. The suggested model exhibits significant validation accuracy of 99.83%, as indicated by the analyses, thus the early prediction of transformer maintenance is aided. It can be validated that the LSTM model for fault identification and analysis using dissolved gas in the transformer has a lot of research potential.
Ideologia e cultura: notas para uma pesquisa
Authors: Frederico Celso
Published: June 2022

Este texto visa estudar as relações entre ideologia e cultura em três vertentes teóricas que partem do marxismo: a primeira, influenciada pelo estruturalismo, teve como representantes Althusser e Macherey; a segunda, inspirada em Hegel, expressou-se nos trabalhos de Adorno e Jameson; a terceira, ligada à tradição historicista, é representada por Gramsci e Raymond Williams.
Néstor García Canclini: reordenações e dissidências da cultura nas institucionalidades digitais na América Latina
Authors: Escosteguy Ana Carolina Damboriarena , Ribas João Vicente
Published: June 2022

Entrevista com Néstor García-Canlini.
Realidade e limites da pesquisa empírica em comunicação pública
Authors: Weber Maria Helena , Locatelli Carlos
Published: June 2022

Este artigo aborda o conceito de comunicação pública associado ao de esfera pública, ressaltando a importância da pesquisa empírica para o campo, bem como seus limites metodológicos. Por sua natureza normativa, o conceito comunicação pública permite aferir a qualidade da democracia. Mas, ao procurar responder à dimensão fática da comunicação, a pesquisa empírica pode criar armadilhas cognitivas, acionando a dialética entre facticidade e normatividade, entre ser e dever ser. A reflexão ressalta a necessidade de se reconhecer a complexidade desencadeada por objetos que envolvem conflitos comunicacionais na democracia e indica aspectos metodológicos que podem ser privilegiados ao se contrastar fatos sociais, políticos e comunicativos.
Melodrama, excesso e narrativas midiáticas: uma sistematização baseada na abordagem de parentesco intelectual
Authors: Silva Anderson Lopes da
Published: June 2022

O artigo apresenta quatro ontologias possíveis por meio da natureza, composição, finalidade e localização das relações entre o excesso e o melodrama nas narrativas midiáticas. A concepção de parentesco intelectual é metodologicamente mobilizada em três categorias: identificação do antagônico comum, evidenciação da semelhança na intercomunicação e valorização da dessemelhança como manutenção da autonomia. As considerações finais destacam a não consensualidade sobre a natureza do melodrama; o entendimento binominal sobre a composição relacional excesso/melodrama; disputas de sentido sobre as finalidades de ação do excesso no melodrama; e o entendimento de que as materialidades nas quais incidem o excesso e o melodrama são múltiplas.
Barbarismo e midiatização segundo Muniz Sodré: a culpa é do neoliberalismo?
Authors: Rüdiger Francisco
Published: June 2022

A Sociedade Incivil prossegue o trabalho de reflexão sobre a cultura, a mídia e o jornalismo iniciado por Muniz Sodré ainda no início dos anos 1970. Discute-se no artigo as principais teses desenvolvidas na obra, salientando a originalidade das suas premissas e abordagens. O argumento nem por isso a livra de crítica, acusando a falta de dialética presente na sua hermenêutica da mídia e o aprisionamento de suas análises à visão do neoliberalismo que se converteu em estereótipo.
Acontecimento como singularidade
Authors: Prado José Luiz Aidar
Published: June 2022

Este artigo parte do conceito de acontecimento de Greimas, que originou duas tendências: a da sociosemiótica de Landowski, que debate os regimes de interação e sentido sem privilegiar o acontecimento, e a da semiótica tensiva de Zilberberg e Fontanille, que opera com o conceito de acontecimento a partir da tensividade. Examinaremos as teses apresentadas contra o uso do conceito e aprofundaremos a teoria do acontecimento recorrendo à teoria de Alain Badiou. Isso permite pensarmos tais transformações trazidas pelo acontecimento considerando o papel do corpo, do sujeito, da verdade e do antagonismo, a partir dos regimes de interação e da tensividade, e como podem ser engendrados novos processos comunicacionais no pós-acontecimento.
Circuitos comunicacionais da imprensa no Brasil do século XIX: olhares sobre o momento inicial
Authors: Barbosa Marialva Carlos
Published: June 2022

O artigo reflete sobre os momentos iniciais da imprensa no Brasil, abordando dois movimentos: o aparecimento do primeiro jornal diário do país, O Diário do Rio de Janeiro, e os circuitos comunicacionais da imprensa da capital do Império para as províncias do interior e destas para o Rio de Janeiro, na década de 1820, mostrando fluxos, contrafluxos e diálogos comunicacionais. Para exemplificar os circuitos comunicacionais em formação, tomamos como objeto de observação o primeiro ano de circulação do jornal mineiro O Universal (1825). Busca-se mostrar que cristalizações sobre a história da imprensa podem ser objetos de revisão historiográfica quando o olhar comunicacional se debruça sobre esse universo histórico.
Edmund Jarzembowski at 70: An appreciation
Authors: AUSTEN PETER A. , WANG BO , ROSS ANDREW J. , CORAM ROBERT A.
Published: June 2022

Edmund Aleksander Jarzembowski (BSc PhD FGS FRES) is currently a Leverhulme Emeritus Fellow; Scientific Associate (researcher) at The Natural History Museum London (NHMUK); and Professor at the Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences (NIGPAS), Nanjing, specializing in the study of fossil insects (palaeoentomology).
The Merger Mystery
Authors: Meeks Geoff , Meeks J. Gay
Published: June 2022

Statistical studies over the last forty-five years show that, although there are success stories, very many mergers and acquisitions do not result in the increased operating profits that economics textbooks would lead one to expect. As consultancy McKinsey have put it, ‘Anyone who has researched merger success rates knows that roughly 70% fail’. Yet—mysteriously—M&A activity has boomed across the globe, with a forty-fold increase in deals done each year now compared with four decades ago, in spite of the adverse general evidence. How can it be that talented, energetic, highly skilled, law-abiding, income-maximising participants in the M&A market will often promote mergers that lead to no operating gains, frequently with adverse effects on the wider economy too?

Drawing on findings from a wealth of statistical analyses and case evidence from many businesses, the book presents answers to this merger mystery. In a synthesis of ideas from several disciplines, solutions are detected in misaligned incentives, distorted financial engineering and information asymmetry. By revealing how weaknesses at multiple points can interact and cumulate to produce inefficient outcomes, the discussion serves as a corrective to the overwhelmingly positive tone of most commentary on M&A, whilst also advocating changes in participants’ contracts, in taxation, and in regulation which could significantly reduce the number of mergers that fail.

Designed to be accessible to a wide readership, the book will be of interest to investors, to M&A practitioners and commentators, to researchers and students of economics, political economy, finance, management and accounting, and—importantly—to policy makers working in these areas.
1. Introduction
Authors: Meeks Geoff , Meeks J. Gay
Published: June 2022

Fifty years ago, most economists confidently predicted that mergers would generally boost financial performance. They would bring scale economies and market power; or they would reinvigorate sleepy targets. Examples are given of successful deals which have indeed delivered such outcomes. However, in the subsequent fifty years many statistical studies cited in Appendix 1 have found that most mergers were zero or negative sum: an eminent consultancy concluded that ‘roughly 70% fail’. The mystery in the book’s title is that as this evidence of disappointing M&A results has mounted, executives have doubled down on acquisition activity – globally now totaling forty times the annual number of deals seen forty years ago. Before outlining the plan of the book the chapter delves deeper into what constitutes ‘success’ or ‘failure’.
4. Incentives for Other Participants
Authors: Meeks Geoff , Meeks J. Gay
Published: June 2022

In many acquisitions the key decision-makers are the managers of the bidder and the shareholders of the target. The issue is: can the former persuade the latter to part with their shares in the target? Other parties who have an indirect role include non-executive directors of the bidder, and fund managers, who represent many shareholders in the target. The non-executives work part-time and the majority hold directorships in more than one company. For big UK companies their average annual pay is around £100,000 for each directorship. Is it surprising that they are reluctant to ‘rock the boat’ by challenging the top executives over their prized acquisition strategies? Will executives of other businesses be eager to welcome such disruptive challengers for their own boards? On the seller’s side, fund managers are often rewarded according to the (short-term) performance of the funds they manage. Bidders typically offer a premium to the shareholders of the target, commonly 25-30% over and above the price prevailing ahead of the bid. Fund managers understandably find it difficult to reject such offers when that would mean missing out on the bonus an acceptance would trigger.