bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time‐Series Data
Authors: Muhammadullah Sara , Urooj Amena , Khan Faridoon , Alshahrani Mohammed N , Alqawba Mohammed , Al-Marzouki Sanaa
Published: January 2022

In order to reduce the dimensionality of parameter space and enhance out‐of‐sample forecasting performance, this research compares regularization techniques with Autometrics in time‐series modeling. We mainly focus on comparing weighted lag adaptive LASSO (WLAdaLASSO) with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. For analytical comparison, we implement Monte Carlo simulation and assess the performance of these techniques in terms of out‐of‐sample Root Mean Square Error, Gauge, and Potency. The comparison is assessed with varying autocorrelation coefficients and sample sizes. The simulation experiment indicates that, compared to Autometrics and other regularization approaches, the WLAdaLASSO outperforms the others in covariate selection and forecasting, especially when there is a greater linear dependency between predictors. In contrast, the computational efficiency of Autometrics decreases with a strong linear dependency between predictors. However, under the large sample and weak linear dependency between predictors, the Autometrics potency ⟶ 1 and gauge ⟶ α. In contrast, LASSO, AdaLASSO, SCAD, and MCP select more covariates and possess higher RMSE than Autometrics and WLAdaLASSO. To compare the considered techniques, we made the Generalized Unidentified Model for covariate selection and out‐of‐sample forecasting for the trade balance of Pakistan. We train the model on 1985–2015 observations and 2016–2020 observations as test data for the out‐of‐sample forecast.
Effectiveness Analysis on Human-Machine Information Interaction of Intelligent Highway
Authors: Zhou Yicheng , Sun Tuo , Wen Shunzhi , Zhong Hao , Cui Youkai , Xie Jiemin , Wu Wei , Ma Wanjing
Published: January 2022

Different human-machine collaboration modes and driving simulation tests with the orthogonal method considered are designed for a series of typical intelligent highway landscapes. The feedback of drivers under different interaction modes is evaluated through NASA-LTX questionnaire, driving simulator, eye tracker, and electroencephalograph (EEG). This optimal interaction mode (including voice form, broadcasting timing, and frequency) of each driving assistance scene in CVI (Cooperative Vehicle Infrastructure) environment under the conditions of high and low traffic is determined from subjective and objective perspectives. In accordance with feedback of these subjects on each set scene, the voice information structure of each assistance mode plays the most important role on drivers followed by the broadcasting timing and frequency. These broadcasts which provide good effects include scenarios such as various assistance scenes at curves and an early warning timing at a long-distance trip as well as a high early warning frequency; in addition, as for an exit-tip assistance scenario, a voice mode assistance is preferred; and for various speed assistance scenes, the beep mode is better. Furthermore, it is found that, at a higher traffic level but a short-distance trip, an early warning timing is favored generally for various scenes while under a low traffic level, a long-distance early warning timing is better.
A Design Method of the Transmitting Waveform of Electromagnetic Sounding Based on Selective Harmonic Elimination
Authors: Gao Lihui , Liu Yongkang , Chen Nan , Li Haolin , Zhang Niaona , Yu Shengbao
Published: January 2022

The exploration target at different depths through the ground-airborne frequency domain electromagnetic method (GAFDEM) is detected by transmitting waveforms at different frequencies. When taking these different depths into detail, arbitrarily distributed frequencies are needed. However, the current transmitting waveforms are mostly in a fixed frequency ratio or frequency difference, which fails to meet the requirements of exploration accuracy and efficiency at the same time. Therefore, as a solution to this problem, this paper proposes a transmitting waveform design method based on selective harmonic eliminated pulse width modulation (SHEPWM) technology. In the SHEPWM method, three transmitting waveforms with the desired spectrum are obtained by directly controlling the switching angles of a binary sequence with an artificial neural network algorithm. Firstly, our study puts forward the basic theories and principles of the full-periodic asymmetric SHEPWM waveform. Secondly, the study, through simulation, realizes the pseudorandom, depth-focused, and layer-identification waveform with different detection depths. Finally, the application of the proposed SHEPWM waveform to the geological survey in Kaili City, Guizhou Province, proves the correctness and feasibility of this proposed method.
HIV/AIDS-Pneumonia Codynamics Model Analysis with Vaccination and Treatment
Authors: Teklu Shewafera Wondimagegnhu , Rao Koya Purnachandra
Published: January 2022

In this paper, we proposed and analyzed a realistic compartmental mathematical model on the spread and control of HIV/AIDS-pneumonia coepidemic incorporating pneumonia vaccination and treatment for both infections at each infection stage in a population. The model exhibits six equilibriums: HIV/AIDS only disease-free, pneumonia only disease-free, HIV/AIDS-pneumonia coepidemic disease-free, HIV/AIDS only endemic, pneumonia only endemic, and HIV/AIDS-pneumonia coepidemic endemic equilibriums. The HIV/AIDS only submodel has a globally asymptotically stable disease-free equilibrium if

R

1

<
1
.

Using center manifold theory, we have verified that both the pneumonia only submodel and the HIV/AIDS-pneumonia coepidemic model undergo backward bifurcations whenever

R

2

<
1
 

and

R

3

=
max

R

1

,

R

2

<
1

, respectively. Thus, for pneumonia infection and HIV/AIDS-pneumonia coinfection, the requirement of the basic reproduction numbers to be less than one, even though necessary, may not be sufficient to completely eliminate the disease. Our sensitivity analysis results demonstrate that the pneumonia disease transmission rate

 

β

2

and the HIV/AIDS transmission rate

 

β

1

play an important role to change the qualitative dynamics of HIV/AIDS and pneumonia coinfection. The pneumonia infection transmission rate

β

2

gives rises to the possibility of backward bifurcation for HIV/AIDS and pneumonia coinfection if

R

3

=
max

R

1

,

R

2

<
1

, and hence, the existence of multiple endemic equilibria some of which are stable and others are unstable. Using standard data from different literatures, our results show that the complete HIV/AIDS and pneumonia coinfection model reproduction number is

R

3

=
max

R

1

,

R

2

=
max

1.386
,
9.69
 

=
9.69
 

at

β

1

=
2

and

β

2

=
0.2
 

which shows that the disease spreads throughout the community. Finally, our numerical simulations show that pneumonia vaccination and treatment against disease have the effect of decreasing pneumonia and coepidemic disease expansion and reducing the progression rate of HIV infection to the AIDS stage.
BJBN： BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic
Authors: Xu Chuanjie , Yuan Feng , Chen Shouqiang
Published: January 2022

This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memory（Bi-LSTM）network and bidirectional encoder representations from transformers (BERT), which can well complete the extraction of local features of Chinese medicine texts. BERT can learn the global information of the text, so use BERT to get the global representation of medical text and then use Bi-LSTM to extract local features. We conducted a large number of comparative experiments on datasets. The results show that the proposed model has significant advantages over the state-of-the-art baseline model. The accuracy of the proposed model is 0.75.
Generalized Reliability Analysis of Mechanical Systems with Imperfect Maintenance
Authors: Gao Peng , Xie Liyang
Published: January 2022

Generalized reliability models and failure rate models of mechanical systems are developed in this paper according to the system working mechanism, which take the design parameters as input. The models consider strength degradation and imperfect maintenance. Besides, the models take into account the failure correlation caused by homologous load effect and the maintenance correlation owing to group maintenance. Unlike traditional reliability models, the models do not rely on empirical assumptions when considering failure correlation and maintenance correlation and have clear physical meaning. Moreover, the correctness and effectiveness of the models are verified by Monte Carlo simulations. Finally, the influences of failure correlation and maintenance correlation on generalized reliability, the influences of failure correlation on maintenance correlation, and the influences of maintenance correlation on failure correlation are analyzed via numerical examples. The results show that failure correlation and maintenance correlation have great influences on generalized reliability, and the interaction between the two correlation shows obvious time-varying characteristics.
Correlation Analysis between Three‐Dimensional Changes in Pharyngeal Airway Space and Skeletal Changes in Patients with Skeletal Class II Malocclusion following Orthognathic Surgery
Authors: Kim Moonhwan , Hwang Chung-Ju , Cha Jung-Yul , Lee Sang-Hwy , Kim Young Joon , Yu Hyung-Seog
Published: January 2022

Introduction. Studies on the pharyngeal airway space (PAS) changes using three‐dimensional computed tomography (CT) have shed more light on patients with Class III than Class II malocclusion. This paper focuses on analyzing the long‐term changes in the PAS and evaluating the postoperative association between these PAS and skeletal changes in patients with skeletal Class II malocclusion who have undergone orthognathic surgery. Methods. The records of 21 patients with skeletal Class II malocclusion who had undergone orthognathic surgery were included. The anatomical modifications in both jaws, changes in volume, sectional area (SA), minimum sectional area (MSA), and anterior‐posterior (AP) and transverse (TV) width in the airway at one month before surgery (T0), and one month (T1) and one year (T2) after surgery were analyzed using CT images. The association between the skeletal and airway changes was evaluated between T0, T1, and T2. Results. After surgery, the ANS, A point, and PNS demonstrated significant posterior and superior movement. The B point and the pogonion exhibited substantial anterior and superior movement. The total and inferior oropharyngeal volumes (vol 3, vol 4) notably increased, while the nasopharyngeal volume (vol 1) decreased. The anterior‐posterior movement at the ANS and PNS after surgery was significantly associated with the total volume, vol 2, vol 3, SA 1, MSA, and TV width 1, while substantial association with the total volume was found at the pogonion. Conclusion. Thus, an ideal treatment plan can be formulated for patients with skeletal Class II malocclusion by considering the postoperative PAS changes.
LDPCD: A Novel Method for Locally Differentially Private Community Detection
Authors: Zhang Zhejian
Published: January 2022

As one of the cores of data analysis in large social networks, community detection has become a hot research topic in recent years. However, user’s real social relationship may be at risk of privacy leakage and threatened by inference attacks because of the semitrusted server. As a result, community detection in social graphs under local differential privacy has gradually aroused the interest of industry and academia. On the one hand, the distortion of user’s real data caused by existing privacy-preserving mechanisms can have a serious impact on the mining process of densely connected local graph structure, resulting in low utility of the final community division. On the other hand, private community detection requires to use the results of multiple user-server interactions to adjust user’s partition, which inevitably leads to excessive allocation of privacy budget and large error of perturbed data. For these reasons, a new community detection method based on the local differential privacy model (named LDPCD) is proposed in this paper. Due to the introduction of truncated Laplace mechanism, the accuracy of user perturbation data is improved. In addition, the community divisive algorithm based on extremal optimization (EO) is also reﬁned to reduce the number of interactions between users and the server. Thus, the total privacy overhead is reduced and strong privacy protection is guaranteed. Finally, LDPCD is applied in two commonly used real-world datasets, and its advantage is experimentally validated compared with two state-of-the-art methods.
Multidimensional Connection Cloud Model Coupled with Improved CRITIC Method for Evaluation of Eutrophic Water
Authors: Wu Daguo , Yan Jiahui , Wang Mingwu , Chen Guangyao , Jin Juliang , Shen Fengqiang
Published: January 2022

The degree of eutrophication in the water environment is deepening. For the appropriate treatment of eutrophication, it is essential to evaluate it accurately. However, the evaluation of eutrophication has not been well solved because it is full of uncertainty. Herein, a multidimensional connection cloud model, combined with the improved CRITIC (Criteria Importance Through Inter-criteria Correlation) method, was put forward here to assess water eutrophication and depict the randomness, ambiguity, and interaction of evaluation factors. First, an improved CRITIC was adopted to determine indicator weight so that the correlation among different indicators and more information were depicted. Secondly, a multidimensional connection cloud was simulated to characterize fuzzy indicators and ambiguous classification boundary values according to classification criteria. Next, the connection degree was calculated relative to the evaluation standard. The eutrophication grade was specified under the “maximum connection degree” principle. At last, the effectiveness and practicality of the model proposed here were affirmed by two cases and comparisons with supplementary methods. The results suggest that the proposed model can avoid shortcomings of the original CRITIC method and cloud model, and make the assessment result more realistic.
Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning
Authors: Ramalingam Parameshwaran , Mehbodniya Abolfazl , Webber Julian L. , Shabaz Mohammad , Gopalakrishnan Lakshminarayanan
Published: January 2022

Telemetric information is great in size, requiring extra room and transmission time. There is a significant obstruction of storing or sending telemetric information. Lossless data compression (LDC) algorithms have evolved to process telemetric data effectively and efficiently with a high compression ratio and a short processing time. Telemetric information can be packed to control the extra room and association data transmission. In spite of the fact that different examinations on the pressure of telemetric information have been conducted, the idea of telemetric information makes pressure incredibly troublesome. The purpose of this study is to offer a subsampled and balanced recurrent neural lossless data compression (SB-RNLDC) approach for increasing the compression rate while decreasing the compression time. This is accomplished through the development of two models: one for subsampled averaged telemetry data preprocessing and another for BRN-LDC. Subsampling and averaging are conducted at the preprocessing stage using an adjustable sampling factor. A balanced compression interval (BCI) is used to encode the data depending on the probability measurement during the LDC stage. The aim of this research work is to compare differential compression techniques directly. The final output demonstrates that the balancing-based LDC can reduce compression time and finally improve dependability. The final experimental results show that the model proposed can enhance the computing capabilities in data compression compared to the existing methodologies.
COVID-19 Impact on Public Health, Environment, Human Psychology, Global Socioeconomy, and Education
Authors: Miyah Youssef , Benjelloun Mohammed , Lairini Sanae , Lahrichi Anissa
Published: January 2022

The end of the year 2019 was marked by the introduction of a third highly pathogenic coronavirus, after SARS-CoV (2003) and MERS-CoV (2012), in the human population which was officially declared a global pandemic by the World Health Organization (WHO) on March 11, 2020. Indeed, the pandemic of COVID-19 (Coronavirus Disease 19) has evolved at an unprecedented rate: after its emergence in Wuhan, the capital of the province of Hubei of the People's Republic of China, in December 2019, the total number of confirmed cases did not cease growing very quickly in the world. In this manuscript, we have provided an overview of the impact of COVID-19 on health, and we have proposed different nutrients suitable for infected patients to boost their immune systems. On the other hand, we have described the advantages and disadvantages of COVID-19 on the environment including the quality of water, air, waste management, and energy consumption, as well as the impact of this pandemic on human psychology, the educational system, and the global economy. In addition, we have tried to come up with some solutions to counter the negative repercussions of the pandemic.
Virtualized High Throughput Satellite Gateway with a Global Bandwidth Management Method
Authors: Liu Haike , Zhang Huajian , Yang Kai , Li Jiali
Published: January 2022

With the development of new satellite payload technology, in order to improve the utilization of system resources, research is based on software-defined network (SDN) and network function virtualization (NFV) gateway architecture. Based on this architecture, the system realizes global resource management and overall data distribution, which can solve the problem of resource allocation and maximum/minimum rate guarantee between different VNO terminals under different beams, different gateways, and different satellites. For this, a global bandwidth management method can be used which is mainly a process of management to control the traffic on a communication link. The proposed global resource management and control method can be based on the rate guarantee value of the VNO/terminal configured in the system as the basic limiting condition and reallocate the rate guarantee value limiting parameter according to the resource application status of the online terminal. The method can maximize the resource utilization of the entire satellite communication system and satisfy the resource request of the user terminal as much as possible.
Problems and Countermeasures of College Students’ Mental Health Education
Authors: Zhang Xiaoli
Published: January 2022

Compared with the previous teaching environment and model, college students need more self-awareness and self-discipline to learn better. In order to solve many mental health problems of college students, this work studies that the school should increase policy support to relevant parties and strengthen the cultivation of college students’ psychological counseling ability, so as to provide more psychological counseling services for college students. This work studies and analyzes the common problems in contemporary college students’ mental health education, such as lack of teachers, mere formality, imperfect system, and poor pertinence, and puts forward the corresponding countermeasures for college students’ mental health education. When college students enter the university, they need to further improve their knowledge and ability to achieve professional development in a relatively loose learning environment. University is a key period for college students’ personality improvement and physical and mental development. With the increasing pressure of social employment, the psychological pressure of college students is increasing. This study provides a reference for the mental health problems of college students.
DNA Repair and Replication-Related Gene Signature Based on Tumor Mutation Burden Reveals Prognostic and Immunotherapy Response in Gastric Cancer
Authors: Zhang Lei , Hu Dahai , Huangfu Shuchen , Zhou Jiaxin , Wang Wei , Liu Shijin , Tang Hui , Pan Jinghua , Pan Yunlong
Published: January 2022

The genomic variant features (mutations, deletions, structural variants, etc.) within gastric cancer impact its evolution and immunogenicity. The tumor has developed several coping strategies to respond to these changes by DNA repair and replication (DRR). However, the intrinsic relationship between the associated DRR-related genes and gastric cancer progression remained unknown. This study selected DRR-related genes with tumor mutation burden based on the TCGA (The Cancer Genome Atlas) database of gastric cancer transcriptome and mutation data. The prognosis model of seven genes (LAMA2, CREB3L3, SELP, ABCC9, CYP1B1, CDH2, and GAMT) was constructed by a univariate and LASSO regression analysis and divided into high-risk and low-risk groups with the median risk score. Survival analysis showed that overall survival (OS) was lower in the high-risk group than that in the low-risk group. Moreover, patients with gastric cancer in the high-risk group have worse survival in different subgroups, including age, gender, histological grade, and TNM stage. The nomogram that included risk scores for DRR-related genes could accurately foresee OS of patients with gastric cancer. Interestingly, the tumor mutation burden score was higher in the low-risk group than that in the high-risk group, and the risk score for DRR-related genes was negatively correlated with tumor mutation burden in gastric cancer. Next, we further combined the risk score and tumor mutation burden to evaluate the prognosis of gastric cancer patients. The low-risk cohort had a better prognosis than the high-risk cohort in the high tumor mutation burden subgroup. The number of mutation types in the high-risk group was lower than that in the low-risk group. In the immune microenvironment of gastric cancer, more naïve B cells, memory resting CD4+ T cells, Treg cells, monocytes cells, and resting mast cells were infiltrated in the high-risk group. At last, PD-L1 and IAP expressions were negatively correlated with the risk scores; patients with gastric cancer in the low-risk group showed better immunotherapy outcomes than those in the high-risk group. Overall, the DRR-related gene signature based on tumor mutation burden is a novel biomarker for prognostic and immunotherapy response in patients with gastric cancer.
Random Characteristics of Hydraulic Gradient through Three-Dimensional Multilayer Embankment
Authors: Zhao Xiaoming , Niu Yulong , Cui Dongbin , Hu Mingming
Published: January 2022

The distribution characteristics of hydraulic gradient in embankment are closely related to seepage failure. Seepage failures such as flowing soil and piping will lead to serious damage and even the overall failure of embankment. The hydraulic conductivity has strong spatial variability, which changes the distribution of hydraulic gradient in embankment and increases the difficulty for predicting the embankment seepage instability. In this study, the distribution of soil hydraulic conductivity in a section of Shijiu Lake embankment was obtained by the permeability test. Based on Local Average Subdivision technique, a three-dimensional multilayer random field of embankment hydraulic conductivity was generated. Then, the mean and standard deviation of overflow point height and hydraulic gradient were calculated by the Monte Carlo method, which combined the generated three-dimensional random model and the deterministic analysis method of seepage field. Finally, the coefficient of variation (COV) of hydraulic conductivity (0.1, 0.3, 0.5, 0.7, 1.0, 2.0, and 3.0), the fluctuation scale in vertical direction (3 m) and the fluctuation scale in horizontal plane (3 m, 6 m, 12 m, 24 m, 36 m, and 48 m) were selected respectively for analyzing the random characteristics of embankment overflow point height and hydraulic gradient under the influence of different COV and fluctuation scale of embankment soil hydraulic conductivity.
Elevated Serum Fibroblast Growth Factor 21 Is Relevant to Heart Failure Patients with Reduced Ejection Fraction
Authors: Fan Liuzhang , Gu Lingyun , Yao Yuyu , Ma Genshan
Published: January 2022

Objective. The aim of this study was to evaluate the roles of fibroblast growth factor 21 (FGF21) in heart failure patients with reduced ejection fraction and its association with Heart Failure with reduced Ejection Fraction (HFrEF). Methods. The level of FGF21 was measured by enzyme-linked immunosorbent assay (ELISA) in 199 subjects enrolled in this study, including 128 subjects with HFrEF and 71 control subjects. The mean follow-up time was 13.36 months. The left ventricular end-diastolic diameter (LVEDD) and left ventricular ejection fraction (LVEF) percentage were evaluated by the 2D echocardiography. Serum brain natriuretic peptide (BNP) was measured in the routine clinical laboratory. Results. The serum FGF21 level was evidently higher in patients with HFrEF than in the control group (

228.72
±
24.04

vs.

171.60
±
12.98

,

p
<
0.001

). After 1 year of follow-up, 61 patients (47.66%) with heart failure were readmitted to the hospital, including 8 deaths (13.11%). The AUC of the receiver operating characteristic (ROC) curve for the predictive value of FGF21 for prognosis was 0.964. Kaplan-Meier analysis results showed that there were significant differences in the 1-year mortality and heart failure readmission events between the grouped subjects. A poor prognosis was correlated with the serum level of FGF21, BNP, LVEDD, and LVEF, which was confirmed by the univariate Cox analysis. Conclusion. FGF21 was independently associated with an increased risk of mortality and readmission HFrEF patients. Therefore, FGF21 has the potential to be a biomarker for the progression of HFrEF in patients.
A Cross-Modal Image and Text Retrieval Method Based on Efficient Feature Extraction and Interactive Learning CAE
Authors: Yin Xiuye , Chen Liyong
Published: January 2022

In view of the complexity of the multimodal environment and the existing shallow network structure that cannot achieve high-precision image and text retrieval, a cross-modal image and text retrieval method combining efficient feature extraction and interactive learning convolutional autoencoder (CAE) is proposed. First, the residual network convolution kernel is improved by incorporating two-dimensional principal component analysis (2DPCA) to extract image features and extracting text features through long short-term memory (LSTM) and word vectors to efficiently extract graphic features. Then, based on interactive learning CAE, cross-modal retrieval of images and text is realized. Among them, the image and text features are respectively input to the two input terminals of the dual-modal CAE, and the image-text relationship model is obtained through the interactive learning of the middle layer to realize the image-text retrieval. Finally, based on Flickr30K, MSCOCO, and Pascal VOC 2007 datasets, the proposed method is experimentally demonstrated. The results show that the proposed method can complete accurate image retrieval and text retrieval. Moreover, the mean average precision (MAP) has reached more than 0.3, the area of precision-recall rate (PR) curves are better than other comparison methods, and they are applicable.
Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test
Authors: Chen Li , Miao Meiling
Published: January 2022

With the continuous development of China’s cultural industry, people’s health has become one of the topics of the highest concern. Therefore, all the application models of physical health test data in the actual analysis have become the current research focus and trend direction of healthy constitution. This paper summarizes the significant problems in the analysis of physical health test data, through the comprehensive analysis and investigation of physical health test data, combined with the measurement of the test indicators, through the analysis and processing system of youth physical health data, the use process of national youth group physical health standard data management software, and decision tree intelligent algorithm in physical health. The research steps of test data analysis and application model summarize the application characteristics of physical health test data in the application process. Based on this, a decision tree intelligent algorithm is proposed, and the corresponding functions and optimization formulas of the algorithm are substituted. In the process of actual sample checking calculation, each weight range and corresponding errors are inferred and analyzed by combining examples. This paper summarizes the application model and optimization model of health test data analysis based on decision tree intelligent algorithm. Through the repeated test of the research data, the feasible area and application scope of the algorithm are obtained, and the practical optimization scheme and application ideas under the algorithm are obtained.
Assessing the Potential Value and Mechanism of Kaji-Ichigoside F1 on Arsenite-Induced Skin Cell Senescence
Authors: Zeng Qibing , Du Sufei , Xu Yuyan , Yang Fan , Wu Liping , Wang Nanlan , Zhang Shuling , Wei Shaofeng , Wang Guoze , Zhang Shuai , Lu Hongguang , Luo Peng
Published: January 2022

Chronic exposure to inorganic arsenic is a major environmental public health issue worldwide affecting more than 220 million of people. Previous studies have shown the correlation between arsenic poisoning and cellular senescence; however, knowledge regarding the mechanism and effective prevention measures has not been fully studied. First, the associations among the ERK/CEBPB signaling pathway, oxidative stress, and arsenic-induced skin cell senescence were confirmed using the HaCaT cell model. In the arsenic-exposed group, the relative mRNA and protein expressions of ERK/CEBPB signaling pathway indicators (ERK1, ERK2, and CEBPB), cell cycle-related genes (p21, p16INK4a), and the secretion of SASP (IL-1α, IL-6, IL-8, TGF-β1, MMP-1, MMP-3, EGF, and VEGF) and the lipid peroxidation product (MDA) were significantly increased in cells (

P
<
0.05

), while the activity of antioxidant enzyme (SOD, GSH-Px, and CAT) was significantly decreased (

P
<
0.05

), and an increased number of cells accumulated in the G1 phase (

P
<
0.05

). Further Kaji-ichigoside F1 intervention experiments showed that compared to that in the arsenic-exposed group, the expression level of the activity of antioxidant enzyme was significantly increased in the Kaji-ichigoside F1 intervention group (

P
<
0.05

), but the indicators of ERK/CEBPB signaling pathway, cell cycle-related genes, and SASP were significantly decreased (

P
<
0.05

), and the cell cycle arrest relieved to a certain extent (

P
<
0.05

). Our study provides some limited evidence that the ERK/CEBPB signaling pathway is involved in low-dose arsenic-induced skin cell senescence, through regulating oxidative stress. The second major finding was that Kaji-ichigoside F1 can downregulate the ERK/CEBPB signaling pathway and regulate the balance between oxidation and antioxidation, alleviating arsenic-induced skin cell senescence. This study provides experimental evidence for further understanding of Kaji-ichigoside F1, a natural medicinal plant that may be more effective in preventing and controlling arsenic poisoning.
Modeling Multicancer Screening
Authors: Duffy Stephen W. , Sasieni Peter
Published: January 2022

Jiao and colleagues have developed an estimation framework for measuring the benefits of a multi-cancer screening test, notably in terms of cancer detection and deaths prevented. The approach is clear and attractive. Further developments are likely to include more flexible modeling of sensitivities and specificities.

See related article by Jiao et al., p. 38
Circulating miRNAs in Type 2 Diabetic Patients with and without Albuminuria in Malaysia
Authors: Zahari Sham Siti Yazmin , Ng Chin Tat , Azwar Shamin , Yip Wai Kien , Abdullah Maha , Thevandran Kalaiselvam , Osman Malina , Seow Heng Fong
Published: January 2022

Introduction: Diabetic kidney disease (DKD) remains the leading cause of chronic kidney disease. Dysregulation of circulating miRNAs has been reported, suggesting their pathological roles in DKD. This study aimed to investigate differentially expressed miRNAs in the sera of type 2 diabetes mellitus (T2DM) patients with and without albuminuria in a selected Malaysian population. Method: Forty-one T2DM patients on follow-up at a community clinic were divided into normo-(NA), micro-(MIC), and macroalbuminuria (MAC) groups. Differential levels of miRNAs in 12 samples were determined using the pathway-focused (human fibrosis) miScript miRNA qPCR array and was validated in 33 samples, using the miScript custom qPCR array (CMIHS02742) (Qiagen GmbH, Hilden, Germany). Results: Trends of upregulation of 3 miRNAs in the serum, namely, miR-874-3p, miR-101-3p, and miR-145-5p of T2DM patients with MAC compared to those with NA. Statistically significant upregulation of miR-874-3p (p = 0.04) and miR-101-3p (p = 0.01) was seen in validation cohort. Significant negative correlations between the estimated glomerular filtration rate (eGFR) and miR-874-3p (p = 0.05), miR-101-3p (p = 0.03), and miR-145-5p (p = 0.05) as well as positive correlation between miR-874-3p and age (p = 0.03) were shown by Pearson’s correlation coefficient analysis. Conclusion: Upregulation of previously known miRNA, namely, miR-145-5p, and possibly novel ones, namely, miR-874-3p and miR-101-3p in the serum of T2DM patients, was found in this study. There was a significant correlation between the eGFR and these miRNAs. The findings of this study have provided encouraging evidence to further investigate the putative roles of these differentially expressed miRNAs in DKD.
From Discipline to Quality of Care: How Neurologists Can Learn from Decisions of Disciplinary Tribunals
Authors: Gimbel Inge A. , Mostert Menno , van Leeuwen Barend J. , van Leeuwen Roeland B.
Published: January 2022

Background: One of the primary aims of medical disciplinary law is to improve the quality of care. However, the decisions of disciplinary tribunals are not sufficiently analysed to identify the learning elements. Aim: This study aimed to investigate the frequency and nature of complaints for the specialty neurology which were upheld by the disciplinary tribunals and to learn from disciplinary law through an analysis of which factors contributed to complaints being upheld. Design: This is a retrospective, observational study. Methods: All upheld complaints in the field of neurology were collected for the period of January 1, 2010, to January 1, 2020. A qualitative analysis of the decisions was conducted using the usual characteristics set out by disciplinary tribunals in their annual reports. The relevant factors which potentially played a role in the complaint being upheld were identified for more detailed analysis. Results: In the 10-year period, a complaint was submitted to the disciplinary tribunals against 299 neurologists. Forty-four complaints were upheld (15%). The most common sanction was a warning (70%). A large majority of cases were directly related to patient care, such as decisions about the patient’s diagnosis and the treatment. Recordkeeping (50%), interpretation and discussion of imaging (30%), and involvement of several consultants of one or more specialties (34%) frequently played a role in the successful complaints. Conclusion: Medical disciplinary cases in the field of neurology are usually about diagnosis- and treatment-related aspects. Recordkeeping, interpretation of neuroimaging, and involvement of several consultants frequently play a role in a complaint being upheld. It is important that specialties evaluate disciplinary decisions on a structural and continuous basis.
O jogo apolíneo-dionisíaco: aspectos filosóficos do esporte
Authors: Beccari Marcos N. , Portugal Daniel B. , Almeida Rogério de
Published: January 2022

Este ensaio propõe uma reflexão acerca dos aspectos filosóficos do esporte, especialmente a partir das figuras míticas de Apolo e Dioniso. De início, a questão é colocada a partir de algumas campanhas publicitárias da Nike; em seguida, o aspecto apolíneo é associado aos ideais ascéticos seculares, ao passo que a dimensão dionisíaca é descrita como sombra que subsiste na celebração esportiva. Por fim, recorremos à figura homérica de Ulisses para entrelaçar Apolo e Dioniso, conjugando-os como faces complementares de uma mesma matriz de convivência sociocultural.
Da necessidade da esperança em tempos incertos
Authors: Soares Rosana de Lima
Published: January 2022

Editorial da edição 30 (volume 15) referente ao segundo semestre de 2021.
Borrando as fronteiras do audiovisual: o pensamento crítico sobre as imagens em múltiplas mídias
Authors: Guilherme Sofia Franco
Published: January 2022

Resenha do livro MUANIS, Felipe de Castro. Convergências audiovisuais: linguagens e dispositivos. Curitiba: Appris, 2020.
Conhecer é agir: entre a epistemologia genética e o legado de Paulo Freire
Authors: González Jorge A.
Published: January 2022

O que significa se tornar sujeitos do conhecimento? Atores sociais que enfrentam seus problemas por meio da construção de conhecimentos realmente se empoderam? A teoria e os achados da Epistemologia Genética fornecem uma poderosa ferramenta teórica e metodológica para compreender experiências de conscientização como processos de empoderamento, e permitem ler o método freiriano de alfabetização à luz de uma teoria dos processos de construção do conhecimento. Ao estudar e praticar a Comunicação para o Desenvolvimento, afirmo que Informação, Comunicação e Conhecimento constituem um processo tríplice e indissociável, que inclui transformações biológicas, comportamentais e sociais, especialmente as que foram criadas coletivamente.
Empreendedores de turismo no espaço rural (Empreter): instrumento de autoanálise de perfil empreendedor para gestores de empreendimentos de turismo no espaço rural brasileiro
Authors: Corsino Michelle Oliveira do Espírito Santo , Mariani Milton Augusto Pasquotto
Published: January 2022

Consolidou-se, na literatura, o perfil empreendedor como impulsionador do processo de criação de oportunidades e promotor de transformação e inovação. Partindo disso, da constatação de que o estudo científico das características que constituem o comportamento empreendedor é incipiente em relação ao espaço rural; do papel do turismo no espaço rural como fator catalisador do desenvolvimento local; e da necessidade de desenvolver e potencializar características empreendedoras nos gestores desse segmento, o objetivo desta pesquisa é descrever o processo de construção e validação do Empreter – em suas dimensões indivíduo e sustentabilidade –, instrumento qualitativo de autoanálise de perfil empreendedor para gestores de empreendimentos de turismo no espaço rural brasileiro. Os resultados obtidos na etapa de campo confirmaram a eficácia do Empreter, assim, conclui-se que há necessidade de inclusão da dimensão sustentabilidade nas análises acadêmicas voltadas ao perfil empreendedor, sobretudo relacionadas aos indivíduos atuantes nesse tipo de turismo.
Hellblade: Senua’s sacrifice: o feminino e a loucura
Authors: Paula Luciana de
Published: January 2022

O presente estudo versa acerca do trato dado à questão do feminino e da loucura no game Hellblade: Senua’s sacrifice. Por uma perspectiva histórica, psicológica e literária, observaram-se os enlaces dos elementos do jogo, tais como enredo, cenário e áudio, na edificação de um horror trabalhado e denso. Pelas tramas da loucura, a Ninja Theory, idealizadora da obra, lança bases para o estabelecimento de uma leitura inquietante e fantástica, cuja aproximação permite uma experiência de horror histórico, estético e psicológico.
Entre a carne e o espírito: relações de gênero nos filmes de horror de Jean Garrett
Authors: Cánepa Laura , José Lemos Monteiro Tiago
Published: January 2022

Este trabalho tem como objetivo traçar características temáticas dos filmes de horror realizados pelo cineasta luso-brasileiro Jean Garrett (José Antônio Nunes Gomes da Silva, 1947-1996) no âmbito da indústria de sexploitation que marcou o cinema popular paulista nos anos 1970 (DENNISON, 2009; PIEDADE, 2006). Trataremos de duas obras de terror psicológico (Amadas e Violentadas, 1976; A Mulher que Inventou o Amor, 1980) e duas de horror sobrenatural (Excitação, 1976; A Força dos Sentidos, 1979) dirigidas por Garrett, observando as especificidades de seu trabalho em uma cinematografia nacional então marcada, pela revolução sexual e pelo reacionarismo político da ditadura militar (RAMOS, 2004; ABREU, 2006). Buscaremos caracterizar Garrett como um autor relevante para a compreensão do horror cinematográfico brasileiro por sua capacidade de incorporar e discutir questões cruciais do cinema popular brasileiro dos anos 1970 por meio de histórias de horror, em particular a posição ocupada pelas personagens femininas e pelas relações amorosas heteronormativas no âmbito do cinema erótico.
O eu e sua dualidade: uma releitura de O Duplo, de Dostoiévski
Authors: Oliveira Ana Maria Abrahão dos Santos
Published: January 2022

O artigo pretende elaborar uma releitura da novela O duplo (1846/2013), do escritor russo Fiódor M. Dostoiévski (1821-1881), tendo como foco a temática da duplicidade como um desdobramento do eu, segundo a visão psicanalítica freudiana, além de abordar o aspecto da estrutura da obra e a questão do dialogismo, na concepção de Mikhail Bakhtin (1997).
Direito e tradução – influências recíprocas
Authors: Reichmann Tinka , Beltrão Taciana Cahu
Published: January 2022

Neste artigo apresentamos alguns aspectos da tradução e/ou interpretação juramentada sob o prisma da sua interface com o direito e suas influências recíprocas. No foco está a influência da legislação e da jurisprudência sobre a tradução e/ou interpretação juramentada. Tanto a legislação quanto a jurisprudência podem ser consideradas marcadores jurídico-culturais para os textos a serem transladados de uma cultura jurídica para outra, mas também influem o perfil e o exercício da função. Os exemplos são retirados dos sistemas jurídicos da França e da Alemanha.
Collocations and aviation terms
Authors: Piazentine Costa Carlos Eduardo
Published: January 2022

Collocations have a great potencial to the understanding of meanings, senses and concepts of words or terms they compound. In this article, we studied the collocations of the terms “segurança” in Portuguese, and “safety” and “security” in English, in aviation language. Our aims were to search for a better understanding of the studied conceptual units, and to offer a discussion about the role of collocations in Terminology. We built two comparable corpora, one with Portuguese texts from the Brazilian National Civil Aviation Agency and the Brazilian Air Force, and another one with English texts from the International Civil Aviation Organization. We focused on the main collocations of the three terms in Portuguese and in English. The theoretical frame we adopted was the Communicative Theory of Terminology (CABRÉ, 1999) and we used the techniques of Corpus Linguistics (TAGNIN, 2010, 2013; BERBER SARDINHA, 2000) to design our methodology, assisted by the software WordSmith Tools, version 6.0. (SCOTT, 2012). We found noun and adjective collocations. The study is addressed to professionals, teachers and tranlators who make use of aviation language.
 
KEY-WORDS: Terms of Aviation; Terminology; Corpus Linguistics; Collocations.
Marcos fundamentais da Literatura Periférica em São Paulo
Authors: Leite Antonio Eleilson
Published: January 2022

A literatura da periferia de São Paulo se divide em dois períodos históricos: a) Literatura Marginal, de 2000 a 2005 e b) Literatura Periférica, a partir de 2005 até os dias atuais. A primeira fase teve como marco inaugural a publicação do livro Capão Pecado, de Ferréz, no ano 2000, obra muito influenciada pela cultura hip hop, especialmente o RAP. Este escritor foi o principal nome dessa fase, sendo também seu maior articulador, ao coordenar inúmeras coletâneas literárias que proporcionaram o surgimento de dezenas de autores. O segundo período é marcado pela ascensão dos saraus, principalmente do Sarau da Cooperifa. Este Coletivo publicou sua antologia em 2005 e estimulou diversos saraus a fazerem o mesmo. Viabilizados, em boa parte, por políticas públicas, perto de 200 livros, coletivos e individuais, foram lançados desde então, configurando um vigoroso movimento cultural. Entretanto, passados 12 anos, a rubrica periférica e/ou marginal se mostra insuficiente para identificar essa prática literária. Este artigo apresenta duas hipóteses para superação desse problema. A primeira é contextualizar a literatura periférica como uma dimensão da cultura popular urbana, ampliando assim o seu alcance como expressão cultural, sem prejuízo da sua identificação de origem. A segunda é de ordem estética e implica na afirmação da busca da qualidade como um imperativo da criação. Esse desafio, porém, requer, por parte dos escritores, uma disposição para se submeterem à crítica, ao mesmo tempo em que torna-se necessário um novo paradigma crítico que possa responder à especificidade dessa literatura.
Música, Neurociências e Autismo: levantamento dos artigos nacionais e internacionais em 4 bancos de dados
Authors: Santiago Mayara , Louro Viviane dos Santos
Published: January 2022

Este artigo tem por objetivo fazer um mapeamento bibliográfico dos artigos acadêmicos nacionais e internacionais dos últimos cinco anos sobre a tríade neurociências, música e autismo, tanto no âmbito da educação musical, quanto da musicoterapia. Os descritores utilizados para a busca foram Music AND Autism AND Neurosciences em inglês e português. Como bancos de dados utilizamos: BIREME, LILACS, SciELO e PubMed. Texto deveriam ser encontrados na íntegra e de forma gratuita além de terem de forma explícita no título ou resumo que se tratava de uma pesquisa envolvendo música e autismo. Ao fim das buscas e análise nos critérios pré-determinados, encontramos 12 publicações, sendo 9 no PubMed publicados em inglês em diversas revistas internacionais e apenas dois trabalhos em português. Ao comparar o cenário nacional e internacional a partir desta breve pesquisa encontramos grandes discrepâncias numéricas e metodológicas apontando para a necessidade de fomento à pesquisa envolvendo conhecimentos neurocientíficos principalmente nas áreas das artes e ciências humanas.
O agrupamento rítmico como base para a performance pianística de obras do período clássico
Authors: Grosman Miriam
Published: January 2022

O presente trabalho propõe recursos pedagógicos para o estudo deliberado das obras do período clássico, tendo como focos principais os agrupamentos rítmicos e os seus padrões de interpretação.  Abordamos conceitos relacionados à estrutura do agrupamento assim como ao gesto musical,  tendo por base trabalhos como os de Alamos e Gimenez, Wallace Berry, Assis e Amorim, Santiago e  Meyerewicz. Tendo por objetivo a compreensão estrutural da obra, onde a identificação dos agrupamentos constitui uma ferramenta para o estudo deliberado, o trabalho apresenta, ainda, uma síntese do significado de classicismo na música e diretrizes gerais para a interpretação da obra clássica no piano, apoiando-se em princípios e conceitos difundidos por renomados pesquisadores, pianistas e professores como, por exemplo, Newman, Rosenblum e Rosen.