bluuebunny/crossref_metadata_2025 huggingface dataset:
Sodium Butyrate Attenuates Diabetic Kidney Disease Partially via Histone Butyrylation Modification
Authors: Zhou Tingting , Xu Huiwen , Cheng Xi , He Yanqiu , Ren Qian , Li Dongzhe , Xie Yumei , Gao Chenlin , Zhang Yuanyuan , Sun Xiaodong , Xu Yong , Huang Wei
Published: July 2022

Inflammation and fibrosis are the important pathophysiologic processes in diabetic kidney disease (DKD), which is induced by epigenetics, especially histone posttranslational modification (HPTMs). Recent reports highlighted that butyrate, one of the short-chain fatty acids (SCFAs) primarily originated from the fermentation of dietary fiber in the gut, attenuates inflammation and fibrosis in the prevention and treatment of DKD; however, the molecular mechanisms are still unclear. Histone lysine butyrylation (Kbu), a novel histone modification marker induced by butyrate, has been found to be involved in the regulation of pathophysiological processes. To reveal the mechanisms of butyrate-induced histone (Kbu), in the prevention and treatment of DKD, both DKD models in vivo and in vitro were treated with sodium butyrate (NaB). Our results confirmed that exogenous NaB improved the disorder of glucose and lipid metabolism, prevented proteinuria and renal failure, and inhibited renal inflammation and fibrosis. Meanwhile, NaB also induced histone Kbu and H3K9 butyrylation (H3K9bu) in vivo and in vitro; however, inhibition of histone Kbu with the histone modification enzyme p300 inhibitor A485 reversed the anti-inflammatory and anti-fibrosis effects of NaB. In conclusion, our data reveal that NaB antagonizes renal inflammatory and fibrosis injury and attenuates DKD possibly via histone Kbu, suggesting that butyrate-induced histone Kbu or H3K9bu may be an important molecular mechanism in the pathogenesis and treatment of DKD.
Integration of Wearable Devices and English Teaching under Positive Psychology
Authors: Zhang Jin
Published: July 2022

Positive psychology, as a core subject to the study of people’s positive power and positive quality, is intended to cultivate positive personality traits and positive emotions, and to promote the development of inspiring creativity, cooperation, and interest. The study of positive psychology provides a new perspective for our research in the field of education. The “New Curriculum Standards for Junior Middle School English” clearly states: “Students can only maintain the inner driving force of English learning and achieve results only if they have positive emotions in English learning. Negative emotions will not only affect the effect of English learning, but also affect students’ long-term development. In English teaching, teachers should pay attention to students’ emotions from beginning to end, and strive to create a relaxed, democratic, and harmonious teaching atmosphere. Therefore, how to infiltrate the theory of positive psychology into the frontline English teaching of junior high school becomes especially important. With the advancement of science and technology and the advent of the Internet era, various high-tech information technologies have gradually flourished, and the rapid development of information technology has promoted the reform and innovation of the teaching industry. Wearable technology is the current trend and direction of the information technology revolution. It realizes the interconnection and deep integration of people, machines and objects through the functions of collecting, sorting and analyzing mobile Internet and cloud data. The realization of wearable technology-based wearable technology not only can highly integrate educational resources, improve learning interest, but also enhance the pertinence of teaching, cultivate students’ creativity, and realize personalized teaching in “full time, all-round, all fields.” This article explores the integration of wearable devices and junior high school English teaching in the context of positive psychology. First of all, this paper introduces the theoretical basis of the integration of wearable devices with English teaching. Secondly, it introduces the research methods of this paper. Finally, through questionnaires and experimental comparison analysis, it tests the interest of students in learning through the auxiliary teaching of wearable devices, and whether the academic performance has a positive effect.
Sentiment Analysis in British and American Literature Teaching under Formative Assessment and Machine Learning
Authors: Jin Yanrui
Published: July 2022

In English education, British and American literature is a new type of course. The teaching of British and American literature has also undergone many reforms. In the practice of teaching reform, artificial intelligence- (AI-) assisted teaching such as machine learning (ML) has a long history. The performance is continuously improved by studying the mechanism of computer simulation of the human brain learning British and American literature. Then, computer intelligence can be realized. Based on this, this paper mainly discusses two aspects. One is the sentiment tendency analysis method based on the sentiment dictionary, and the other is the sentiment tendency analysis method based on ML. It mainly introduces the judgment of different emotional tendencies by the sentiment analysis model, which is an automatic review analysis and ensemble classification approach. The improvement of sentiment analysis improves the recognition range of text sentiment words in British and American literature teaching to optimize the process of text analysis. Its main feature is that the sentiment analysis of text directly acts on the tendency of words, with fine granularity and accurate analysis. Finally, it is concluded that the maximum value of the algorithm proposed here is 0.9, which has higher accuracy than the maximum value of 0.81 of other analysis models. The results indicate that the integrated classification model combining British and American literature teaching with the dimensions hidden Markov model has relatively reasonable text analysis and high sentiment classification accuracy. In terms of British and American literature teaching, using ML algorithms can effectively help teachers teach British and American literature through sentiment analysis.
Effect of Early Radial Shock Wave Treatment on Spasticity in Subacute Stroke Patients: A Pilot Study
Authors: Brunelli Stefano , Gentileschi Noemi , Spanò Barbara , Pratesi Luca , Calvani Alessandra , Mucci Roberta , Foti Calogero
Published: July 2022

Background. Spasticity is a complication that can start immediately after stroke. Radial extracorporeal shock wave therapy (rESWT) is a physical therapy tool used to manage chronic spasticity. However, the effect of rESWT’s early use to treat spasticity after stroke is still not clearly investigated. The aim of this study is to evaluate the efficacy of rESWT in improving poststroke spasticity of the upper limb in patients with a recent onset of spasticity compared to conventional physiotherapy alone. Methods. 40 stroke patients were randomly assigned to experimental (EG) or control group (CG). Both groups underwent two daily sessions of conventional rehabilitation therapy (CRT) 5 days per week; the EG underwent one rESWT session a week for 4 weeks. The modified Ashworth scale (MAS) tested at the shoulder, elbow, and wrist was used as outcome measure. MAS was evaluated at baseline, after 2 and 4 rESWT session, and one month after the last session (follow‐up). Results. No significant differences between groups were found at baseline in terms of age, days from onset of spasticity after stroke, and MAS at each body segment. The sample lost eight drop‐out patients. Except for the shoulder MAS values, the EG showed statistically significant lower MAS values already after the second rESWT session compared to CG. This significant difference was maintained until the follow‐up. The CG showed a significant increase of wrist spasticity after the second evaluation, while the EG maintained constant MAS values throughout the observational period. The elbow spasticity was significantly higher in the CG at the follow‐up evaluation. Conclusion. The rESWT combined with CRT seems to be effective in avoiding the increasing progression of spasticity after stroke.
Development of Online Political and Ideological Education System Based on Personalized Recommendation
Authors: Wang Shoudao
Published: July 2022

This paper aims to design and implement the online political and ideological teaching system based on personalized recommendation in order to more accurately recommend teaching resources appropriate for students’ learning, thus improving the learning efficiency and teaching quality of the online political and ideological teaching system. First, the design of the online political and ideological education system is detailed, along with its basic framework, functional modules, hierarchical structure, and database. A personalized recommendation approach based on knowledge map is proposed. The algorithm is applied to the online political and ideological teaching system to understand the differences of students’ interests in different teaching resources, establish a student interest transfer model, and effectively improve the transfer of students’ interests. On the basis of knowledge map, the matrix decomposition method is introduced, matched with the knowledge map to obtain the recommendation prediction score, and the feedback model is established and extended. Measure the dynamic transformation of the recommended ideological and political teaching content, and comprehensively consider the long-term and short-term preferences of students, so as to realize the personalized recommendation of ideological and political teaching resources. Experiments show that the personalized recommendation online political and ideological teaching system designed in this paper has good overall performance, the accuracy of the proposed recommendation approach is high, and the recommendation time is fast, so as to improve the teaching quality of the teaching system.
On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data
Authors: Tharshan Ramajeyam , Wijekoon Pushpakanthie
Published: July 2022

The mixed Poisson regression models are commonly employed to analyze the overdispersed count data. However, multicollinearity is a common issue when estimating the regression coefficients by using the maximum likelihood estimator (MLE) in such regression models. To deal with the multicollinearity, a Liu estimator was proposed by Liu (1993). The Poisson-Modification of the Quasi Lindley (PMQL) regression model is a mixed Poisson regression model introduced recently. The primary interest of this paper is to introduce the Liu estimator for the PMQL regression model to mitigate the multicollinearity issue. To estimate the Liu parameter, some exiting methods are used, and the superiority conditions of the new estimator over the MLE and PMQL ridge regression estimator are obtained based on the mean square error (MSE) criterion. A Monte Carlo simulation study and applications are used to assess the performance of the new estimator in the scalar mean square error (SMSE) sense. Based on the simulation study and the results of the applications, it is shown that the PMQL Liu estimator performs better than the MLE and some other existing biased estimators in the presence of multicollinearity.
On the Removability Property of φ‐Natural Domains in Real Banach Spaces
Authors: He Yuehui
Published: July 2022

In this paper, we investigate the removability of φ‐natural domains in Banach spaces. Let E be a real Banach space with dimension at least 2, G a domain in E, and let be a countable subset of G which satisfies a quasi hyperbolic separation condition. Then, G is φ‐natural if and only if G is ψ‐natural, quantitatively.
[Retracted] Research on Application Experience Design of Ice and Snow Sports Equipment Based on Bee Colony Model
Authors: Li Yuanjing , Yang Jintian , Gao Shanshan
Published: July 2022

Sports equipment is the key to the smooth development of ice and snow sports. With the rapid development of social economy and the improvement of people’s living standards, the demand for ice and snow sports equipment is increasing day by day. This article presents an improved method based on the chaos theory and the bee colony algorithm to quantify the application experience design of ice and snow sports equipment and reduce the influence of uncertain factors on the design results. First, the chaos theory can establish the dataset of application experience design and analyze the discreteness of the set. According to the bee colony algorithm, the dataset is divided into several groups, and each group obtains the best application experience design by using the design optimization strategy. Finally, the results are mixed to obtain the final experience design results. Through MATLAB simulation analysis and verification, the improved bee colony model can improve the accuracy of application experience design of ice and snow sports equipment in an uncertain environment, shorten the overall design time, and meet the requirements of application experience design of different ice and snow sports equipment. Therefore, the model proposed in this paper is suitable for the application experience design of ice and snow sports equipment.
An Analysis of the Historical Process of Cultural Confidence in Ideological and Political Education Based on Deep Learning
Authors: Wang Xin
Published: July 2022

Ideological and political education can improve people’s ideological and moral character and psychological quality, improve social governance, and promote the harmonious development of society. However, the current data of ideological and political education have the trend of mass and diversification. In order to improve the effect of ideological and political education, this paper proposes an analysis method of the historical process of cultural self-confidence of ideological and political education based on in-depth learning. By preprocessing the ideological and political education data to obtain text keywords, the principal component analysis method is improved to reduce the dimension of the ideological and political education data, and the vector space model is used to complete the text balance processing of the reduced dimension data. The data sensitivity after dimensionality reduction is analyzed by data training, the historical text data mining model is constructed to extract data features, and the bidirectional recurrent neural network is used to complete data extraction. The semantic features of the extracted data are obtained by using the forward and reverse feature generation methods, and the historical process of the cultural confidence of ideological and political education is analyzed by using the two-way generation method. The experimental results show that the accuracy rate of the historical process analysis method of cultural self-confidence in ideological and political education based on deep learning is 95%, the recall rate is 94%, and the degree of collaborative performance is good.
[Retracted] Semantic Construal Mechanism of the Linguistic Environment Parameter Theory in Business English Translation
Authors: Li Xin
Published: July 2022

The theory of linguistic environment parameters has an important influence on English translation. Based on this parameter, it can provide guidance for the semantic generation of English translation. In the actual translation process, people’s native language thinking amount accounts for 56.2% and English thinking amount accounts for 43.8%. Translation is mostly used in texts, accounting for 40.6%, and thinking based on the context parameter theory accounts for only 3.2%. To a certain extent, it can be seen that people’s thinking about business English translation will be affected by different amounts of thinking. By mapping context parameters to corresponding factors, this paper analyzes the interpretation mechanism of translation semantics, to a certain extent, more intuitively expounds the semantic generation of business English translation, puts forward higher requirements for people’s translation ability, and further obtains new knowledge, so as to provide practical guidance for English translation.
Design of Human Resource Management System Based on Deep Learning
Authors: Li Jinlong , Zhou Zhe
Published: July 2022

With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitment information through the Internet is getting higher and higher, and the amount of human resources information such as talent information and postinformation has also increased unprecedentedly, which makes human resources services face the problem of information overload. At the same time, deep learning has achieved great success in a series of fields such as computer vision, natural language processing, and semantic recognition in recent years. However, there are few related works in the field of deep learning applied to human resource management system at present. Therefore, this paper studies and improves the recommendation algorithm based on deep learning and applies it to the field of human resources recommendation. In order to improve the traditional and single algorithm of the existing recommendation system, and improve the performance of the human resource management recommendation system.
Analysis of Regional Financial Risk in Guangdong Province Based on the DCN Deep Learning Model
Authors: Yuan Yan
Published: July 2022

In the free flow of financial factors oriented to capital, returns will be accompanied by the concentration and diffusion of financial resources to form regional financial spatial differences, which is an objective phenomenon of regional financial practice. Localized regional financial risks may appear in the process of regional financial practice in each region. To address the abovementioned problems, we propose a model for regional financial risk analysis based on the DCN deep learning model. The main contents are as follows: elaborating the financial risk transmission mechanism involving intra- and interregional financial risks, sorting out the relationship between sectors as clues; the designing process of regional financial risk index as well as the measurement method, and the regional financial risk index for typical regions is measured and found to be at peak in 2017 with a risk index of 0.58; and the construction of an early warning model based on the value of the regional financial risk index and the expansion of the RNN network applied to the construction of the regional financial risk early warning system. Based on the construction of the RNN network application risk early warning system, the three types of risks, payment risk, loan loss risk, and market risk with the percentages of 49.62%, 26.82%, and 23.56%, respectively, are derived, and the focus is on their supervision and management in the follow-up work.
Neural Network Model of Urban Landscape Design Based on Multi-Target Detection
Authors: Jia Fei
Published: July 2022

Urban landscape design is of great significance to the development of the city. To solve the problem of manual acquisition characteristics of urban landscape design systems and low target detection accuracy, a new idea based on neural network and multi-objective testing technology construction urban landscape design system is proposed. By analyzing key technologies, the database establishment proposes to build a city landscape design system. Establish a city landscape design 3D model library using neural network and multi-objective testing technology. The system enables terrain measurements, GIS, visualization, massive data processing, virtual reality technology, etc., so that users can more and more effectively feel the rationality of space design and the feasibility of planning program. Through the experimental test, the following conclusions were obtained. First, the accuracy of multi-objective detection technology is maintained at around 88%. Second, the system landscape generation module generates fast, and the calculation time is between 0.57 and 46 s. Third, through analysis of the evaluation results of ecological suitability, the A-city landscape ecological function partition is divided into the plan for the plan to provide reliable data protection. The fourth is based on satisfaction evaluation indicators, which is conducive to the choice of the optimal plan of urban landscape design, thereby promoting the sustainable development of the city.
Expression and Significance of D-Dimer and Fibrinogen in Hyperfibrinolysis of Elderly Patients with Bleeding after BPH Operation
Authors: Liu Zhaoyue , Yan Huifang , Jin Shanshan , Wu Jingzhang , Zhang Zhanwu , Yu Qian
Published: July 2022

Objective. To explore the expression level and diagnostic efficacy of plasma D-dimer (DD) and fibrinogen (FIB) in hyperfibrinolysis of elderly patients with bleeding after benign prostatic hyperplasia (BPH) surgery. Methods. 70 elderly BPH patients with postoperative hemorrhage and hyperfibrinolysis in our hospital were included into the observation group, and 75 elderly BPH patients with postoperative hemorrhage without hyperfibrinolysis were included into the control group. The serum levels of DD and FIB in the two groups of patients were compared, and the correlation of DD and FIB with clinical features and the diagnostic value of DD and FIB. Results. Elderly BPH patients with hyperfibrinolysis showed significantly higher levels of DD and FIB than those without hyperfibrinolysis (

P
<
0.01

). The increase in DD and the decrease of FIB were significantly correlated with the prolonged hospital stay and intensive care unit (ICU) monitoring (

P
<
0.05

). The combination of DD and FIB showed high diagnostic value for postoperative hemorrhage with hyperfibrinolysis (AUC = 0.998). Conclusion. The combination of plasma DD and FIB effectively and accurately diagnoses postoperative hemorrhage with hyperfibrinolysis. High levels of DD and FIB indicate prolonged hospital stay and postoperative ICU monitoring of elderly BPH patients with hyperfibrinolysis.
Timeliness of Microbiology Test Result Reporting and Association with Outcomes of Adults Hospitalised with Unspecified Pneumonia: A Data Linkage Study
Authors: Shrestha Anil , Georgiou Andrew , Wabe Nasir
Published: July 2022

Background. Pneumonia is one of the leading causes of mortality and morbidity worldwide. Microbiology tests play a critical role in the diagnosis of pneumonia. Our study aimed to determine microbiology result reporting times and evaluate their association with outcomes of adult patients (≥18 years) hospitalised with pneumonia. Methods. This is a 3-year (2016–2018) retrospective cohort study in six hospitals in New South Wales, Australia. The study data were obtained by linking hospital and laboratory system databases. Result reporting times including time from admission to the first and the last microbiology test results were determined. The outcome measures were hospital length of stay (LOS) and in-hospital mortality. We fit median and logistic regression to evaluate the association of time-to-first microbiological result with hospital LOS and in-hospital mortality, respectively. Results. A total of 6,298 patients met the inclusion criteria. Of these, 85.3% (n = 5,375) ordered at least one microbiology test. The top 5 microbiology tests were blood culture, urine culture, respiratory polymerase chain reaction (PCR), urine antigen, and sputum culture. The median time-to-first microbiology result was 26 hrs while the median time-to-last test result was 144 hrs. The rate of in-hospital mortality was 5.9% (n = 371). After adjusting for confounders, every 5 hrs increase in the time-to-first microbiology test was associated with an increase of 3.9 hrs in the median hospital LOS [95% Confidence Interval (CI), 3.5 to 4.3;

P
≤
0.001

]. There was no association between time-to-first microbiology result and in-hospital mortality (OR 1.01; 95% CI 1.00–1.02;

P
=
0.122

). Conclusion. Time-to-first microbiology result reporting was significantly associated with hospital LOS but not with in-hospital mortality. Further research should be conducted to understand if improving result reporting times can reduce the length of hospital stay of patients.
[Retracted] Effect of Bisphenol A‐Mediated RBP‐4 on Pregnancy Outcomes in Nonobese Pregnant Female with Subclinical Hypothyroidism
Authors: Chen Danyan , Wang Hongman , Chen Xi , Li Li , Luo Liwei , Huang Rongxi
Published: July 2022

Hypothyroidism is a systemic hypometabolic syndrome caused by the thyroxine resistance or a reduction in its extent. It is an endocrinopathy secondary to gestational diabetes and occurs usually without significant symptoms. This study explored the effect of bisphenol A (BPA)‐mediated retinol‐binding protein 4 (RBP‐4) on pregnancy outcomes in a nonobese pregnant female with subclinical hypothyroidism. Three hundred nonobese pregnant females who had that established pregnancy files and had regular obstetric examinations from January 2021 to March 2022 were enrolled and classified with 100 cases in each group as early pregnancy (6–12 weeks of gestation), second‐trimester (13–24 weeks of gestation), and third‐trimester groups (25–36 weeks of gestation). Thirty pregnant women with subclinical hypothyroidism were selected as subjects, and another thirty pregnant women with normal thyroid function were selected as the normal control group. Thyroid function (thyroid‐stimulating hormone (TSH), free triiodothyronine (FT3), free T4 (FT4), and thyroid peroxidase antibody (TPO‐Ab)) was measured by immunoelectrochemiluminescence. The level of BPA in urine was determined by solid‐phase extraction high‐performance liquid chromatography‐tandem mass spectrometry. Serum RBP4 levels were determined by enzyme‐linked immunosorbent assay. The level of TSH in the third‐trimester group was higher than that in the first‐ and second‐trimester groups, while the levels of FT3, FT4, and TPO‐Ab were lower than those in the other two groups (P < 0.05). TSH in the second‐trimester group was higher than that in the first‐trimester group, while FT3, FT4, and TPO‐Ab levels were lower than those in the first‐trimester group (P < 0.05). The levels of BPA and RBP4 in gestational diabetes mellitus and hypertension were higher than those in the nongestational period, and the levels of BPA and RBP4 in gestational intrahepatic cholestasis and anemia were higher than those in the nongestational period, and the levels of BPA and RBP4 in preterm delivery were higher than those in nongestational period (P < 0.05). Also, the level of urinary BPA in the hypothyroidism group was higher than that in the normal control group (P < 0.05) and the level of serum RBP4 in the hypothyroidism group was higher than that in the normal control group (P < 0.05). According to multivariate logistic regression analysis, age ≥30 years and the ascending BPA and RBP4 were risk factors for subclinical hypothyroidism during pregnancy in the nonobese female. BPA and RBP‐4 are closely related to the pregnancy outcome of nonobese subclinical hypothyroidism in the pregnant female. The degree of BPA and RBP‐4 in adverse pregnancy outcomes is increased, which is the risk factor for nonobese subclinical hypothyroidism.
A Novel Serum Biomarker Model to Discriminate Aortic Dissection from Coronary Artery Disease
Authors: Lu Peijiang , Feng Xin , Li Rui , Deng Peng , Li Shiliang , Xiao Jiewen , Fang Jing , Wang Xingyu , Liu Chang , Zhu Qiuxia , Wang Jing , Fang Zemin , Gao Lu , Guo Sen , Jiang Xue-Jun , Zhu Xue-Hai , Qin Tingting , Wei Xiang , Yi Xin , Jiang Ding-Sheng
Published: July 2022

Background. The misdiagnosis of aortic dissection (AD) can lead to a catastrophic prognosis. There is currently a lack of stable serological indicators with excellent efficacy for the differential diagnosis of AD and coronary artery disease (CAD). A recent study has shown an association between AD and iron metabolism. Thus, we investigated whether iron metabolism could discriminate AD from CAD. Methods. This retrospective and multicenter cross-sectional study investigated the efficacy of biomarkers of iron metabolism for the differential diagnosis of AD. We collected biomarkers of iron metabolism, liver function, kidney function, and other biochemistry test, and further, logistic regression analysis was applied. Results. Between Oct. 8, 2020, and Mar. 1, 2021, we recruited 521 patients diagnosed with AD, CAD, and other cardiovascular diseases (OCDs) with the main symptoms of chest and back pain and assigned them to discovery set (

n
=
330

) or validation set (

n
=
191

). We found that six serum biomarkers, including serum iron, low-density lipoprotein, uric acid, transferrin, high-density lipoprotein, and estimated glomerular filtration rate, can serve as a novel comprehensive indicator (named FLUTHE) for the differential diagnosis of AD and CAD with a sensitivity of 0.954 and specificity of 0.905 to differentially diagnose AD and CAD more than 72 h past symptom onset. Conclusion. Our findings provide insight into the role of iron metabolism in diagnosing and distinguishing AD, which might in the future be a key component in AD diagnosis. Furthermore, we establish a novel model named “FLUTHE” with higher efficiency, safety, and economy, especially for patients with chest pain for more than 72 h.
DNA Methyltransferase 3B–Mediated Intratumoral Heterogeneity and Therapeutic Targeting in Breast Cancer Recurrence and Metastasis
Authors: So Jae Young , Yang Howard H. , Park Woo Yong , Skrypek Nicolas , Ishii Hiroki , Chen Jennifer M. , Lee Maxwell P. , Yang Li
Published: July 2022

The mechanisms of how cancer cells are selected and evolve to establish distant metastatic colonies remain unclear. Tumor heterogeneity and lack of biomarkers are some of the most difficult challenges in cancer biology and treatment. Here using mouse models for triple-negative breast cancer (TNBC) metastasis, we report heterogeneous expression of DNA methyltransferase 3B (DNMT3B) in both mouse and human primary tumors. High levels of DNMT3B were correlated with poor clinical outcomes in multiple human breast cancer datasets. Mechanistically, clonal cells with high DNMT3B (DNMT3BH) showed higher vimentin (VIM) expression and displayed enhanced epithelial-to-mesenchymal transition capacity. Deletion of VIM diminished the metastatic phenotype of DNMT3BH cells. Importantly, in preclinical mouse models in which the primary tumors were surgically removed, perioperative targeting of DNMT3B in combination with chemotherapy markedly suppressed tumor recurrence and metastasis. Our studies identify DNMT3B-mediated transcription regulation as an important mediator of tumor heterogeneity and show that DNMT3B is critical for tumor invasion and metastasis, reinforcing its potential as a target for treating metastatic disease.

Implications:

Our findings of transcriptome changes mediated by DNMT3B provide new mechanistic insight for intratumor heterogeneity and chemoresistance, and therapeutic targeting of DNMT3B in combination with chemotherapy offer additional treatment options for metastatic disease especially for patients with TNBC.
MYC-Induced Upregulation of Lncrna ELFN1-AS1 Contributes to Tumor Growth in Colorectal Cancer via Epigenetically Silencing TPM1
Authors: Li Chenyao , Hong Sen , Hu Han , Liu Tao , Yan Guoqiang , Sun Di
Published: July 2022

Recently, long noncoding RNAs (lncRNA) have been reported as tumor suppressors or oncogenes in colorectal cancer. This study aims to discover functional role of a novel lncRNA in colorectal cancer tumorigenesis. Expression profile of fibronectin type III domain containing 1 antisense RNA 1 (ELFN1-AS1) in colorectal cancer samples was displayed on TCGA database. Expression level of ELFN1-AS1 was tested in colorectal cancer tissues and cell lines via qRT-PCR. Functional role of ELFN1-AS1 was assessed by loss-of-function assays. Mechanism experiments, such as chromatin immunoprecipitation (ChIP) assay and luciferase reporter assay, were done to analyze the molecular mechanism of ELFN1-AS1 in colorectal cancer. ELFN1-AS1 knockdown inhibited colorectal cancer tumor growth through restricting cell proliferation and facilitating cell apoptosis. ELFN1-AS1 was transcriptionally activated by MYC. Moreover, ELFN1-AS1 led to transcriptional silencing of tropomyosin 1 (TPM1) via recruiting enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2) and forkhead box P1 (FOXP1). Collectively, MYC-upregulated ELFN1-AS1 recruited EZH2 and FOXP1 to restrain TPM1 expression, thereby promoting colorectal cancer tumor growth.

Implications:

This study revealed a novel molecular pathway in colorectal cancer progression, which may provide new method for early diagnosis and treatment of colorectal cancer.
Navigating the HER2-Low Paradigm in Breast Oncology: New Standards, Future Horizons
Authors: Tarantino Paolo , Curigliano Giuseppe , Tolaney Sara M.
Published: July 2022

The confirmation of the HER2-low paradigm is expected to have a major impact in breast oncology. About half of all breast cancers harbor HER2-low expression, which can be targeted with the anti-HER2 antibody–drug conjugate trastuzumab deruxtecan (T-DXd), leading to a relevant survival benefit in the metastatic setting. Given this observation, treatment algorithms for both hormone receptor–positive and triple-negative breast cancer are expected to significantly evolve in the next future. Several challenges, however, remain in the interpretation of HER2-low expression related to its biological role, its pathologic diagnosis, and the definition itself of HER2-low. In this article, we recapitulate the current knowledge on HER2-low breast cancer, discussing whether it should be considered a distinct subtype, how it should be implemented in the clinic, and how its definition may evolve in the coming years with the evolution of our clinical and translational knowledge.
Psoriasis: Besonderheiten im Kindesalter
Authors: Fölster-Holst Regina
Published: July 2022

Psoriasis is a chronic inflammatory systemic disease primarily affecting the skin, but which often involves considerable comorbidities as well. One-third of psoriasis cases start during childhood. In pediatric psoriasis, an association with several medical comorbidities is also indicated. Furthermore, because of its chronic nature and frequent relapses, psoriatic patients tend to require long-term treatment and experience negative impacts on their quality of life. Considering the different clinical characteristics of pediatric psoriasis, it has recently been presented that the pathogenesis of pediatric psoriasis is distinct from adult psoriasis. Treatment for pediatric psoriasis usually involves the same methods as for adults. However, most treatments in pediatric psoriasis are used off-label and research in this regard is still lacking. Targeted therapies involving newly developed biologics are also increasingly being applied to psoriasis in children. This review summarizes the clinical characteristics of pediatric psoriasis and focuses mainly on the updated concepts of pathogenesis and treatments in pediatric psoriasis. This was undertaken to widen the understanding of these relevant aspects and to provide better management of pediatric psoriasis by clinicians.
Gitelman’s and Bartter’s Syndromes: From Genetics to the Molecular Basis of Hypertension and More
Authors: Ravarotto Verdiana , Bertoldi Giovanni , Stefanelli Lucia Federica , Nalesso Federico , Calò Lorenzo A.
Published: July 2022

Background: Gitelman’s and Bartter’s syndromes (GS/BS) are rare genetic tubulopathies characterized by electrolyte imbalance and activation of the renin-angiotensin-aldosterone system (RAAS). These syndromes have intriguing biochemical and hormonal abnormalities that lead them to be protected from hypertension and cardiovascular and renal remodeling. Summary: In this review, we explore the biochemical/molecular mechanisms induced by the activation of the RAAS and its counterregulatory arm which is particularly activated in GS/BS patients, in the context of blood pressure regulation. In addition, we report our findings in the context of the COVID-19 pandemic where we observed GS/BS subjects being protected from infection. Key Messages: The intracellular pathways induced by Ang II, starting from induction of oxidative stress and vasoconstriction, are crucial for the progression toward cardiovascular-renal remodeling and might be useful targets in order to reduce/halt the progression of Ang II/oxidative stress-induced cardiovascular-renal morbidity in several diseases.
Variações da estrutura narrativa no uso de balões de pensamento em Histórias em Quadrinhos de super-heróis
Authors: Braga Junior Amaro Xavier , Linares Ivan Barros
Published: July 2022

O trabalho faz uma análise exploratória com caráter descritivo das mudanças de construção textual e formatação dos elementos visuais dos balões de histórias em quadrinhos, focando no desaparecimento do uso do balão de pensamento na produção de histórias de super-heróis estadunidenses. Traça um panorama das razões e circunstâncias apontadas pelos roteiristas e desenhistas por vias de depoimentos, entrevistas e publicações de alguns desenhistas disponibilizadas em seus blogs pessoais. Mapeia como o balão de pensamento foi sendo substituído por outros recursos tais como a legenda em primeira pessoa para evitar os assim denominados “atalhos baratos de exposição”. Enfatiza que as mudanças estão associadas a três fatores: (1) um discurso, tanto dos leitores quanto dos produtores, de modernizador da construção do texto, desassociado de um caráter infantil que teria os quadrinhos, (2) a necessidade de aproximar os quadrinhos de outras expressões artísticas consolidadas como o texto teatral; e, (3) o amadurecimento dos seus consumidores.
Patients With Congenital Heart Disease Undergoing Noncardiac Procedures at Hospitals With and Without a Cardiac Surgical Program
Authors: Nasr Viviane G. , França Urbano L. , Nathan Meena , DiNardo James A. , Faraoni David , McManus Michael L.
Published: July 2022

Background

The type and location of hospitals where patients with congenital heart disease (CHD) undergo noncardiac procedures have not been investigated. This study aimed to describe (1) the characteristics of these patients, (2) the distribution of procedures among hospitals with and without a cardiac surgical program and travel distances, (3) the characteristics determining the distribution, and (4) mortality rates.

Methods and Results

This is a retrospective cohort analysis of inpatient data from the Center for Healthcare Information and Analysis of the Commonwealth of Massachusetts, Texas Healthcare Information Collection, and Health Care Cost and Utilization Project State Inpatient Database. Children <18 years old with CHD who underwent noncardiac procedures were included. Distances were calculated using the Haversine formula. Logistic regression was performed to evaluate the odds of a procedure at a hospital with a cardiac program. There were 7435 encounters at 235 hospitals analyzed. Most procedures (87.8%) occurred at hospitals with a cardiac program. Patients at a hospital without a cardiac program had simple CHD (72.4%) with <1% with single ventricle disease. At hospitals with a cardiac program, 56.8% had simple CHD, 35.4% complex CHD, and 7.8% single ventricle disease. The median distance traveled was 25.2 miles (interquartile range, 10.3–73.8 miles) to a hospital with a cardiac program and 14.6 miles (interquartile range, 6.2–37.4 miles) to a hospital without a cardiac program (
P
<0.001). Single ventricle disease (adjusted odds ratio [aOR], 16.25 [95% CI, 7.22–36.61]) and ≥6 chronic conditions (aOR, 1.81 [95% CI, 1.57–2.09]) were associated with performance at a hospital with a cardiac program. Mortality rate was 3.8%.

Conclusions

Patients with CHD are more likely to travel to a hospital with a cardiac program for noncardiac procedures than to a hospital without; especially patients with single ventricle disease, other complex CHD, and with ≥6 chronic conditions.
“Commendably Industrious” or “very good friends” of the Devil?: How Attitudes Towards the Jesuits Shaped Understandings of China in Early Modern England
Authors: Moncrieff Ross
Published: July 2022

The transmission of knowledge about China to early modern Europe was dominated by the Jesuits, whose mission to China and privileged position in the court of the Ming and Qing emperors enabled them to become Europe’s foremost early Sinologists. However, the Jesuits were deeply controversial in early modern Europe, especially in Protestant England. This article investigates how hostility towards the Jesuits manifested itself in the English reception of texts and information about China. By examining English translations of Jesuit texts, tracts by English intellectuals, and English literary works on China, this article reveals the variety of responses which English authors and printers used in order to deal with the problematical Jesuit origin of early modern knowledge about China. The consistency with which English authors engaged with the Jesuit origins of this knowledge demonstrates the critical importance of attitudes towards the Jesuits in shaping early modern English understandings of China.
“‘Cause Even Though Perfect It’s Not/ It’s the Best Thing This World’s Got” – or Not?
Authors: Wolfart Johannes C.
Published: July 2022

This short reply considers and rejects from the point of view of Religious Studies, proposals that something of “religious literacy” should be salvaged, either for pedagogical or for other pragmatic purposes. It further rejects suggestions that the critique of religious literacy entails an obligation on the part of the critic to find an alternative raison d’être for Religious Studies. The resonance of religious literacy clearly derives from a powerful legacy of institutional social discipline spanning nearly 500 years; yet only very recently has the concept been re-purposed as core academic mission. Therefore, the costs of abandoning religious literacy now are minimal (except for those institutions who rashly bet everything on the paradigm); by comparison, the costs of pursuing it seem high and include a possible re-assimilation of academic to other historical institutions of social discipline such as penitentiaries (with “residential” and other “reformatory” schools representing significant hybrid or transitional formations).
Activating the Right to Be Rescued
Authors: Hecht Lisa
Published: July 2022

When a person finds herself in peril her right to be rescued is activated and a rescue duty is imposed on those who are in a position to help. In this article, I argue that the activation of the right to be rescued needs to be suitably constrained so that the rescuee is prevented from arbitrarily controlling the normative situation between herself and potential rescuers. Such control would be in conflict with the moral equality of persons. I argue that the activation of the right to be rescued should be conditional on the person having a justification for the action that caused her peril. One implication of my view is that the right to be rescued cannot fulfill the function that Jonathan Quong ascribes to it. The right to be rescued turns out to be an unsuitable ground for the necessity condition which constrains the permissible use of defensive force.
The Right to Preserve Culture
Authors: Hoesch Matthias
Published: July 2022

Although a supposed right to preserve culture is frequently invoked in normative debates, philosophical literature has produced scarcely any attempt to treat it as a particular claim that differs from other cultural rights and, for that reason, is in need of a particular justification. Only by clarifying the content and the normative reasons underlying the supposed right, however, is it possible to evaluate the numerous political claims that have been based on it, ranging from the protection of minorities to restrictions on immigration into nation states. This article argues that the right to preserve culture should be seen as the right of a cultural group to enjoy the framework conditions and to enact supporting political measures that make it likely that its culture will continue to exist through an authentic and continuous path of development. Although some of the possible justifications of that supposed right fail, there is an approach that makes it at least plausible that the right to preserve culture is justified within certain limits.
A Time-Course Evaluation of DNA Damage and Neurotoxicity Induced by PEGylated Graphene Oxide Nanoparticle in Swiss Albino Mice
Authors: Altwaijry Nojood , Ain Qura Tul , Alnuwaysir Hissah , Alamro Abir , Alghamdi Amani , Haq Samina Hyder
Published: July 2022

PEGylated graphene oxide nanoparticle (PEG-nGO) has been commonly used as a carrier for therapeutic drugs and vaccines, because of its unique properties, such as high solubility, more stability and increased biocompatibility in physiological solutions. This study aimed to examine the
DNA damage and neurotoxicity in young mice after up to 4 h of the treatment with PEG-nGO. A single dose (5 mg/kg) of intravenous injection was administered through the tail vein of adult mice. Total genomic DNA was isolated from the control and treated animals after 1 h, 2 h, and 4 h of treatments
and examined for DNA damage by diphenyl assay, DNA fragmentation Assay, and FTIR (Fourier transform infrared) techniques. DNA damage studies indicated DNA fragmentation after 1 h and 2 h of treatments followed by recovery at 4 h. FTIR analysis further supported these results and showed a detailed
molecular effect of the treatments that caused single and double-strand DNA breaks at 1 to 2 h after the treatments and indicated DNA damage response and recovery at 4 h. Histopathology showed neuronal apoptosis and lesions in the brain after 1 to 2 h and invasion of inflammatory response
and chromatolysis after 4 h. PEG-nGO caused immediate DNA damage and cytotoxicity to the brain and its future use as a drug carrier should be considered with caution.
Novel Bioengineered Antibacterial and Anticancer ZnO Nanoparticles
Authors: Al-Harthi Helal F. , Baker Abu , Elgorban Abdallah M. , Bahkali Ali H. , Shaikh Ayaz Mukarram , Kovács Béla , Khan Mohd Sajid , Syed Asad
Published: July 2022

Transition metal oxide NPs have delivered wide applications in various fields. Therefore, in this study, a novel fungus, Alternaria sp. (NCBI Accession No: MT982648) was isolated and characterized from the vicinity of medicinal plants. Eventually, in this method extracted proteins
from isolated fungus were utilized to synthesize highly biocompatible zinc nanoparticles (ZnO NPs). The various physical techniques including UV-visible spectroscopy, TEM, HR-TEM, XRD, DLS, zeta potential, and FTIR were used to characterize particles. The UV-visible absorption (λMax)
and binding energy for the as-synthesized particles were found to be 329 nm and 3.91 eV, respectively. Further, the polydispersed particles were revealed to have regular crystallinity with hexagonal wurtzite phase of ZnO with the spacing of ~2.46 Å under XRD and HR-TEM. The average size
of a particle under TEM was found to be ~18 nm. The evaluation of various surface functional groups of particles was done by FTIR. The average hydrodynamic diameter of particles was found to be ~57 d. nm with 0.44 particle distribution index whereas the nanoemulsion stability was explained
by Zeta potential (−9.47 mV). These particles were found to exhibit potential antibacterial and anticancer activities. They were found to be bactericidal against S. abony (MIC 5.73 μg/mL); B. pumilis (MIC 6.64 μg/mL); K. pneumonia (MIC 14.4 μg/mL);
E. coli (MIC 8.7 μg/mL); B. subtilis (MIC 5.63 μg/mL) and S. aureus (MIC 12.04 μg/mL). Further, they are also found to be concentration-dependent anticancer and inhibited the growth of A549 cells (IC50-65.3 μg/mL) whereas
they were found to demonstrate no any cytotoxicity against NRK normal kidney cell line. The internalization of particles into the nucleus (i.e., nuclear fragmentation and DNA damage) was confirmed by DAPI staining. The intracellular particles were found to generate excessive ROS. Further,
the anticancer potential was also estimated by noticing a hike in oxidative stress parameters, cell viability, cell morphology, and change in mitochondrial membrane potential. We effectively synthesized potentially potent antibacterial and anticancer novel bioengineered ZnO NPs.