bluuebunny/crossref_metadata_2025 huggingface dataset:
Inhibition of Bruton’s Tyrosine Kinase Alleviates Monocrotaline-Induced Pulmonary Arterial Hypertension by Modulating Macrophage Polarization
Authors: Yu Min , Wu Xuecheng , Peng Liyao , Yang Mingxia , Zhou Hong , Xu Jian , Wang Jingjing , Wang Hong , Xie Weiping , Kong Hui
Published: August 2022

Macrophage accumulation and activation contribute to the development of pulmonary arterial hypertension (PAH), while Bruton’s tyrosine kinase (BTK) is an important regulator for the activation and polarization of macrophage. However, the role of BTK in PAH remains unknown. In the present study, a selective BTK inhibitor (BTKi) BGB-3111 was applied to investigate the role of BTK in monocrotaline- (MCT-) induced PAH rat and phorbol myristate acetate- (PMA-) differentiated U937 macrophages. Our results showed that BTK was mainly distributed and upregulated in CD68+ macrophages in the lungs of PAH rats. Daily treated with BTKi BGB-3111 alleviated MCT-induced PAH, as indicated by the decrease in right ventricular systolic pressure (RVSP), attenuation in right ventricle hypertrophy and pulmonary vascular remodeling, reduction in perivascular collagen deposition, as well as inhibition of inflammation and endothelial-to-mesenchymal transition (EndMT) in the lung. Moreover, BTK inhibition suppressed MCT-induced recruitment of macrophages, especially the classical activated macrophages (M1) in the lung. In vitro, BGB-3111 significantly suppressed lipopolysaccharide- (LPS-) induced M1 polarization and proinflammatory cytokine production in U937-derived macrophages. The underlying mechanism is associated with the inhibition of NF-κB/MAPK pathways and nucleotide-binding oligomerization domain-like receptor with pyrin domain 3 (NLRP3) inflammasome activation. Furthermore, macrophage conditioned medium (CM) from LPS-induced M1 macrophages promoted migration and EndMT of HPAECs, while CM from BGB-3111-pretreated LPS-induced M1 macrophages failed to induce this response. These findings suggest that BTK inhibition alleviates PAH by regulating macrophage recruitment and polarization and may be a potential therapeutic strategy for the treatment of PAH.
Breast Cancer Pathological Image Classification Based on the Multiscale CNN Squeeze Model
Authors: Alqahtani Yahya , Mandawkar Umakant , Sharma Aditi , Hasan Mohammad Najmus Saquib , Kulkarni Mrunalini Harish , Sugumar R.
Published: August 2022

The use of an automatic histopathological image identification system is essential for expediting diagnoses and lowering mistake rates. Although it is of enormous clinical importance, computerized breast cancer multiclassification using histological pictures has rarely been investigated. A deep learning-based classification strategy is suggested to solve the challenge of automated categorization of breast cancer pathology pictures. The attention model that acts on the feature channel is the channel refinement model. The learned channel weight may be used to reduce superfluous features when implementing the feature channel. To increase classification accuracy, calibration is necessary. To increase the accuracy of channel recalibration findings, a multiscale channel recalibration model is provided, and the msSE-ResNet convolutional neural network is built. The multiscale properties flow through the network’s highest pooling layer. The channel weights obtained at different scales are delivered into line fusion and used as input to the next channel recalibration model, which may improve the results of channel recalibration. The experimental findings reveal that the spatial recalibration model fares poorly on the job of classifying breast cancer pathology pictures when applied to the semantic segmentation of brain MRI images. The public BreakHis dataset is used to conduct the experiment. The network performs benign/malignant breast pathology picture classiﬁcation collected at various magnifications with a classification accuracy of 88.87 percent, according to experimental data. The diseased images are also more resilient. Experiments on pathological pictures at various magnifications show that msSE-ResNet34 is capable of performing well when used to classify pathological images at various magnifications.
Protective Effects of PPARγ on Renal Ischemia-Reperfusion Injury by Regulating miR-21
Authors: Huang Ruizhen , Zou Cong , Zhang Chiyu , Wang Xing , Zou Xin , Xiang Zhengjie , Wang Zewei , Gui Bin , Lin Tao , Hu Honglin
Published: August 2022

Renal ischemia-reperfusion injury (RIRI) is a common pathological process that causes kidney injury. Previous studies have indicated that both peroxisome proliferator-activated receptor γ (PPARγ) and microRNA-21 (miR-21) exert protective effects against RIRI. However, their relationship is not well understood. In the present study, we investigated the role of the PPARγ/miR-21/programmed cell death 4 (PDCD4) axis in IRI, both in vivo and in vitro. In vitro cell hypoxia/reoxygenation (H/R) and in vivo RIRI models were established, and cell viability, cell apoptosis, and key molecule expression profiles were analyzed. Our results showed that both PPARγ and miR-21 had protective effects against RIRI to varying degrees, and there was an interaction between PPARγ and miR-21. PPARγ could promote the expression of miR-21 and partially protect against RIRI by reducing the level of the miR-21 target protein (PDCD4). Our findings underscore the potential utility of future clinical investigations of PPARγ activation and targeting of the underlying miR-21/PDCD4/caspase-3 pathway, which may participate in the pathogenesis of human IRI.
Identification of Tumor Microenvironment Scoring Scheme Based on Bioinformatics Analysis of Immune Cell Infiltration Pattern of Ovarian Cancer
Authors: Huo Xiao , Yang Mo , Zhang Xi , Wang Shuzhen , Sun Hengzi
Published: August 2022

Background. Tumor microenvironment (TME) is the crucial mediator of tumor progression, and the TME model based on immune cell infiltration to characterize ovarian cancer is considered to be a promising strategy. Methods. Sample data of three ovarian cancer cohorts were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The scores of 22 kinds of immune cells were calculated based on CIBERSORT, and the TME clusters (TMECs) of ovarian cancer was determined by ConsensusClusterPlus. Genomic subtype was identified by non-negative matrix factorization (NMF). A TME scoring scheme was constructed using k-means algorithm and principal component analysis (PCA) to quantify the TME infiltration pattern of individuals. Results. Four TME subtypes of ovarian cancer samples were defined: TMEC1, TMEC2, TMEC3, and TMEC4. There were also significant differences in overall survival (OS) among the four TMEC, and the OS of TMEC3 was the longest. The difference analysis of TMEC3 and the other three TMECs respectively identified the DEGs and took the intersection, and 585 DEGs were obtained. Two genomic subtypes were identified by NMF based on the expression of 585 genes, which were called GeneC1 and GeneC2. The TME scoring scheme constructed by k-means and PCA algorithm was used to calculate the TME score of ovarian cancer in TCGA. High-TME score was significantly correlated with shorter survival time, older age, lower immunoactivated molecules, and immune checkpoint gene expression. Conclusions. This study highlighted the complexity and diversity of TME infiltration patterns in ovarian cancer and constructed a set of TME scoring scheme to reveal TME infiltration patterns and provided new insights into the landscape of TME.
Optimal Modeling of Anti-Breast Cancer Candidate Drugs Based on Graph Model Feature Selection
Authors: Chen Rongyuan , He Zhixiong , Huang Shaonian , Shen Lizhi , Zhou Xiancheng
Published: August 2022

Breast cancer is one of the most widespread and fatal cancers in women. At present, anticancer drug-inhibiting estrogen receptor

 
α

subtype (ER

α

) can greatly improve the cure rate for breast cancer patients, so the research and development of this kind of drugs are very urgent. In this paper, the problem of how to screen excellent anticancer drugs is abstracted as an optimization problem. Firstly, the graph model is used to extract low-dimensional features with strong distinguishing and describing ability according to various attributes of candidate compounds, and then, kernel functions are used to map these features to high-dimensional space. Then, the quantitative analysis model of ER

α

biological activity and the classification model based on ADMET properties of the support vector machine are constructed. Finally, sequential least square programming (SLSQP) is utilized to solve the ER

α

biological activity model. The experimental results show that for anticancer data sets, compared with principal component analysis (PCA), the error rate of the graph model constructed in this paper is reduced by 6.4%, 15%, and 7.8% on mean absolute error (MAE), mean squared error (MSE), and root mean square error (RMSE), respectively. In terms of classification prediction, compared with principal component analysis (PCA), the recall and precision rates of this method are enhanced by 19.5% and 12.41%, respectively. Finally, the optimal biological activity value (IC50_nM) 34.6 and inhibitory biological activity value (pIC50) 7.46 were obtained.
Planar High-Gain Millimeter-Wave Slotted SIW Cavity Antenna Array with Low Sidelobe and Grating Lobe Levels
Authors: Ma Wenyu , Cao Wenquan , Wang Chuang , Shi Shujie , Zhang Bangning
Published: August 2022

In this paper, a planar high-gain millimeter-wave (mmW) slotted substrate integrated waveguide (SIW) cavity antenna array with low sidelobe and grating lobe levels is proposed. The antenna consists of a slotted SIW resonator and an SIW transmission line (TL). To achieve a high gain and simplify the structure of the antenna element, the slotted SIW cavity is resonated in high-order mode. Then, a high-gain antenna array is implemented with only four such elements. By analyzing the pattern multiplication principle of the antenna array and accurately adjusting the element spacing, the high grating lobe level caused by the large spacing of the high-order mode resonator is considerably reduced. In addition, a one-four unequal amplitude power divider is introduced to further reduce the antenna array’s sidelobe levels (SLLs). Finally, the proposed antenna array is fabricated for verification. The measured peak gain is 21.4 dBi at 27.3 GHz. The measured grating lobe level in the E-plane is reduced to −17.9 dB, and the measured SLLs are lower than −19.1 dB.
Feature Extraction Method of Art Visual Communication Image Based on 5G Intelligent Sensor Network
Authors: Liang Weimin
Published: August 2022

5G intelligent sensor network technology realizes the perception, processing, and transmission of information. It forms the three pillars of information technology together with computer technology and communication technology and is an important part of the Internet of Things technology. The 5G smart sensor network is a wireless communication module added to the sensor nodes, and a wireless communication network is formed by a large number of stationary or movable sensor nodes in the form of self-organization and multihop transmission. This paper proposes a keypoint feature extraction method based on deep learning, which can extract keypoint local features for matching. This method uses the convolutional network structure, which is pretrained based on the Siamese network structure and then adjusted to the ternary network structure to continue training to improve the accuracy. This paper proposes a high-art visual communication image classification based on multifeature extraction and classification decision fusion. In the data preprocessing stage, the correlation alignment algorithm is performed on the datasets of different domains (source domain and target domain) to reduce the difference in spatial distribution, and then, a multifeature extractor is designed to extract artistic visual communication images and spatial information. In the process, the multitask learning method is introduced to jointly train the networks of multiple data sets to reduce the degree of overfitting of the model, solve the problem of insufficient labeled samples in the target domain data set, and affect the classification accuracy of high-art visual communication images. Finally, the classification results are obtained through the fusion of voting decisions. The experimental results show that the advantage of this framework is that it utilizes the artistic visual communication image and spatial structure information from the source and target scenes, which can significantly reduce the dependence on the number of labeled samples in the target domain and improve the classification performance. In this paper, a dual-channel deep residual convolutional neural network is designed. The multiple convolution layers of the residual module in the network use hard parameters to share, so that the deep feature representation on the joint spatial spectrum dimension can be automatically extracted. The features extracted by the network are transferred to maximize the auxiliary role of the labeled samples in the source domain and avoid the negative transfer problem caused by the forced transfer between irrelevant samples.
Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis
Authors: Zhang Qingyu , Jiao Yuheng , Ma Ning , Zhang Li , Song Yuqi
Published: August 2022

Objective. To screen for potential endoplasmic reticulum stress- (ERS-) related biomarkers of periodontitis using machine learning methods and explore their relationship with immune cells. Methods. Three datasets of periodontitis (GSE10334, GES16134, and GES23586) were obtained from the Gene Expression Omnibus (GEO), and the samples were randomly assigned to the training set or the validation set. ERS-related differentially expressed genes (DEGs) between periodontitis and healthy periodontal tissues were screened and analyzed for GO, KEGG, and DO enrichment. Key DEGs were screened by two machine learning algorithms, LASSO regression and support vector machine-recursive feature elimination (SVM-RFE); then, the potential biomarkers were identified through validation. The infiltration of immune cells of periodontitis was calculated using the CIBERSORT algorithm, and the correlation between immune cells and potential biomarkers was specifically analyzed through the Spearman method. Results. We obtained 36 ERS-related DEGs of periodontitis from the training set, from which 11 key DEGs were screened by further machine learning. SERPINA1, ERLEC1, and VWF showed high diagnostic values (

AUC
>
0.85

), so they were considered as potential biomarkers for periodontitis. According to the results of the immune cell infiltration analysis, these three potential biomarkers showed marked correlations with plasma cells, neutrophils, resting dendritic cells, resting mast cells, and follicular helper T cells. Conclusions. Three ERS-related genes, SERPINA1, ERLEC1, and VWF, showed valuable biomarker potential for periodontitis, which provide a target base for future studies on early diagnosis and treatment of periodontitis.
Evaluating the Effectiveness of Teaching Experimental Design in Universities in the Context of Information Technology
Authors: Zhang Fang , Guan Shenggong
Published: August 2022

Experimental instructional design is an important pedagogical component of university teaching and learning, an important means of cultivating students’ innovative spirit and practical skills, and has an important status and role that cannot be replaced by any other means of teaching and learning. Assessment for learning as learning, assessment for learning, and assessment as learning are three paradigms of educational assessment that complement each other in achieving curricular and pedagogical goals and together form learning-based assessment. As an important component of national science and technology development, measuring the effectiveness of laboratory instructional design in universities and research institutions is of special significance. This paper presents the authors’ research on the background, evaluation characteristics, evaluation content, and methods of experimental teaching evaluation in the information technology environment, with examples of their application.
Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer
Authors: Liu Jingchao , Cui Jingyi , Zhao Shuangyi , Wu Meng , Wang Jiawen , Zhang Yaoguang , Jin Bin , Wang Jianye
Published: August 2022

Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients with bladder cancer were obtained from The Cancer Genome Atlas (TCGA) database. A ferroptosis-related lncRNA signature was developed via the least absolute shrinkage and selection operator (LASSO) analysis using data from the training cohort, and the signature was further validated using data from the test cohort. The role of AC006160.1, the most significant lncRNA in the risk signature, was examined in various cell lines including SV-HUC-1, BIU-87, HT-1376, T24, RT4, RT-112, 5637, and UMUC3. The pcDNA3.1-AC006160.1 plasmid was constructed and transfected into the bladder cancer cell lines T24 and BIU-87. In addition, cell proliferation, colony formation, transwell, and wound healing assays were performed to examine the biological function of AC006160.1 in T24 and BIU-87 cell lines. Results. Two clusters were identified through consensus clustering based on prognostic ferroptosis-related lncRNAs. A 5-lncRNA risk signature was successfully constructed using data from the training cohort and validated using data from the test cohort. The risk signature had excellent ability to predict survival outcomes, clinical stages, pathological grades, expression of immune checkpoints, and immunotherapeutic responses in bladder cancer samples. Furthermore, AC006160.1 expression was found to be lower in the cancer cell lines BIU-87, T24, RT4, RT-112, and 5637 than in the normal control cell line SV-HUC-1. Cell proliferation, colony formation, transwell migration, and wound healing assays validated that overexpression of AC006160.1 significantly inhibited the proliferation and invasion abilities of both T24 and BIU-87 cells. Drug sensitivity analysis revealed that patients with high expression of AC006160.1 were sensitive to metformin and methotrexate, and the results were further validated via in vitro drug experiments. Conclusions. Ferroptosis-related lncRNAs play a vital role in predicting the multiomic characteristics of bladder cancer. The lncRNA AC006160.1 serves as a protective factor for the development of bladder cancer.
Research on the Analysis of Correlation Factors of English Translation Ability Improvement Based on Deep Neural Network
Authors: Jiang Xiaojun
Published: August 2022

This paper adopts the algorithm of the deep neural network to conduct in-depth research and analysis on the factors associated with the improvement of English translation ability. This study focuses on text complexity, adding discourse complexity features in addition to focusing on lexical and syntactic dimensions, exploring the application of neural network algorithm in the construction of text complexity grading model based on feature optimization, and examining the performance and generalization ability of the model. The rationality of the grading of the material is verified. After determining the model input features and training corpus, different classification algorithms were used to build the models and compare their performance. Meanwhile, compared with the models constructed based on common traditional readability formulas and other single-dimensional features, the models constructed based on the feature set of this study have significant advantages, with 20 to 30 percentage points higher in each performance evaluation index. The pseudo-parallel corpus is constructed, back translation is performed after obtaining the pseudo-parallel corpus, and finally, the data migration effect is measured and recorded on the low-resource Chinese-English parallel corpus and Tibetan-Chinese parallel corpus, and the cycle continues until the model performance is no longer improved. The low-resource neural machine translation model based on model migration learning improved 3.97 and 2.64 BLEU values in the low-resource English translation task, respectively, and reduced the training time; based on this, the data migration learning method further improved 2.26 and 2.52 BLEU values.
A Distributed Emergency Vehicle Transit System Using Artificial Intelligence of Things (DEVeTS-AIoT)
Authors: Mahmud Umar , Hussain Shariq , Sarwar Amber , Toure Ibrahima Kalil
Published: August 2022

The advent of the 4th industrial revolution has realized smart environments composed of cloud and fog. These have been improved to enable intelligence at the fog, where numerous, inexpensive devices communicate with each other and provide computation capabilities to solve domain-specific problems in a distributed fashion. One of these domains is smart traffic flow with a focus on emergency vehicle (EV) transit. The increase in traffic congestion in third-world countries is a hindrance in EV transit to save human lives. This paper proposes an Artificial Intelligence of Things– (AIoT–) based, distributed, EV transit system developed on Raspberry PI as a rule-based system with minimal sensors. The sensors include an infrared sensor to detect emergency light and directional microphones to detect siren. The departure direction of the EV is shared with adjacent intersections to further reduce the transit time.
High-Resolution Profiling of Lung Adenocarcinoma Identifies Expression Subtypes with Specific Biomarkers and Clinically Relevant Vulnerabilities
Authors: Roh Whijae , Geffen Yifat , Cha Hongui , Miller Mendy , Anand Shankara , Kim Jaegil , Heiman David I. , Gainor Justin F. , Laird Peter W. , Cherniack Andrew D. , Ock Chan-Young , Lee Se-Hoon , Getz Gad ,   for the National Cancer Institute Center for Cancer Genomics Tumor Molecular Pathology (TMP) Analysis Working Group
Published: August 2022

Lung adenocarcinoma (LUAD) is one of the most common cancer types and has various treatment options. Better biomarkers to predict therapeutic response are needed to guide choice of treatment modality and to improve precision medicine. Here, we used a consensus hierarchical clustering approach on 509 LUAD cases from The Cancer Genome Atlas to identify five robust LUAD expression subtypes. Genomic and proteomic data from patient samples and cell lines was then integrated to help define biomarkers of response to targeted therapies and immunotherapies. This approach defined subtypes with unique proteogenomic and dependency profiles. Subtype 4 (S4)–associated cell lines exhibited specific vulnerability to loss of CDK6 and CDK6-cyclin D3 complex gene (CCND3). Subtype 3 (S3) was characterized by dependency on CDK4, immune-related expression patterns, and altered MET signaling. Experimental validation showed that S3-associated cell lines responded to MET inhibitors, leading to increased expression of programmed death-ligand 1 (PD-L1). In an independent real-world patient dataset, patients with S3 tumors were enriched with responders to immune checkpoint blockade. Genomic features in S3 and S4 were further identified as biomarkers for enabling clinical diagnosis of these subtypes. Overall, our consensus hierarchical clustering approach identified robust tumor expression subtypes, and our subsequent integrative analysis of genomics, proteomics, and CRISPR screening data revealed subtype-specific biology and vulnerabilities. These LUAD expression subtypes and their biomarkers could help identify patients likely to respond to CDK4/6, MET, or PD-L1 inhibitors, potentially improving patient outcome.

Significance:

Integrative analysis of multiomic and drug dependency data uncovers robust lung adenocarcinoma expression subtypes with unique therapeutic vulnerabilities and subtype-specific biomarkers of response.
Clinico-genomic Characterization ofATMand HRD in Pancreas Cancer: Application for Practice
Authors: Park Wungki , O'Connor Catherine A. , Bandlamudi Chaitanya , Forman Daniella , Chou Joanne F. , Umeda Shigeaki , Reyngold Marsha , Varghese Anna M. , Keane Fergus , Balogun Fiyinfolu , Yu Kenneth H. , Kelsen David P. , Crane Christopher , Capanu Marinela , Iacobuzio-Donahue Christine , O'Reilly Eileen M.
Published: August 2022

Purpose:

Characterizing germline and somatic ATM variants (gATMm, sATMm) zygosity and their contribution to homologous recombination deficiency (HRD) is important for therapeutic strategy in pancreatic ductal adenocarcinoma (PDAC).

Experimental Design:

Clinico-genomic data for patients with PDAC and other cancers with ATM variants were abstracted. Genomic instability scores (GIS) were derived from ATM-mutant cancers and overall survival (OS) was evaluated.

Results:

Forty-six patients had PDAC and pathogenic ATM variants including 24 (52%) stage III/IV: gATMm (N = 24), and sATMm (N = 22). Twenty-seven (59%) had biallelic, 15 (33%) monoallelic, and 4 indeterminate (8%) variants. Median OS for advanced-stage cohort at diagnosis (N = 24) was 19.7 months [95% confidence interval (CI): 12.3–not reached (NR)], 27.1 months (95% CI: 22.7–NR) for gATMm (n = 11), and 12.3 months for sATMm (n = 13; 95% CI: 11.9–NR; P = 0.025). GIS was computed for 33 patients with PDAC and compared with other ATM-mutant cancers enriched for HRD. The median was lower (median, 11; range, 2–29) relative to breast (18, 3–55) or ovarian (25, 3–56) ATM-mutant cancers (P < 0.001 and P = 0.003, respectively). Interestingly, biallelic pathogenic ATM variants were mutually exclusive with TP53. Other canonical driver gene (KRAS, CDKN2A, SMAD4) variants were less frequent in ATM-mutant PDAC.

Conclusions:

ATM variants in PDAC represent a distinct biologic group and appear to have favorable OS. Nonetheless, pathogenic ATM variants do not confer an HRD signature in PDAC and ATM should be considered as a non-core HR gene in this disease.
Intranasal Insulin Attenuates the Long-Term Adverse Effects of Neonatal Hyperglycemia on the Hippocampus in Rats
Authors: McClure Yauch Lauren , Ennis-Czerniak Kathleen , Frey, II William H. , Tkac Ivan , Rao Raghavendra B.
Published: August 2022

Hyperglycemia due to relative hypoinsulinism is common in extremely preterm infants and is associated with hippocampus-mediated long-term cognitive impairment. In neonatal rats, hypoinsulinemic hyperglycemia leads to oxidative stress, altered neurochemistry, microgliosis, and abnormal synaptogenesis in the hippocampus. Intranasal insulin (INS) bypasses the blood-brain barrier, targets the brain, and improves synaptogenesis in rodent models, and memory in adult humans with Alzheimer’s disease or type 2 diabetes, without altering the blood levels of insulin or glucose. To test whether INS improves hippocampal development in neonatal hyperglycemia, rat pups were subjected to hypoinsulinemic hyperglycemia by injecting streptozotocin (STZ) at a dose of 80 mg/kg i.p. on postnatal day (P) 2 and randomized to INS, 0.3U twice daily from P3-P6 (STZ + INS group), or no treatment (STZ group). The acute effects on hippocampal neurochemical profile and transcript mRNA expression of insulin receptor (Insr), glucose transporters (Glut1, Glut4, and Glut8), and poly(ADP-ribose) polymerase-1 (Parp1, a marker of oxidative stress) were determined on P7 using in vivo 1H MR spectroscopy (MRS) and qPCR. The long-term effects on the neurochemical profile, microgliosis, and synaptogenesis were determined at adulthood using 1H MRS and histochemical analysis. Relative to the control (CONT) group, mean blood glucose concentration was higher from P3 to P6 in the STZ and STZ + INS groups. On P7, MRS showed 10% higher taurine concentration in both STZ groups. qPCR showed 3-folds higher Insr and 5-folds higher Glut8 expression in the two STZ groups. Parp1 expression was 18% higher in the STZ group and normal in the STZ + INS group. At adulthood, blood glucose concentration in the fed state was higher in the STZ and STZ + INS groups. MRS showed 59% higher brain glucose concentration and histochemistry showed microgliosis in the hippocampal subareas in the STZ group. Brain glucose was normal in the STZ + INS group. Compared with the STZ group, phosphocreatine and phosphocreatine/creatine ratio were higher, and microglia in the hippocampal subareas fewer in the STZ + INS group (p < 0.05 for all). Neonatal hyperglycemia was associated with abnormal glucose metabolism and microgliosis in the adult hippocampus. INS administration during hyperglycemia attenuated these adverse effects and improved energy metabolism in the hippocampus.
Does Neutrophil-Lymphocyte Ratio Correlate with the Improvement of Hepatosteatosis after Laparoscopic Sleeve Gastrectomy?
Authors: Yildirim Kadir , Karabicak İlhan , Ulu Esra Kayahan , Aktimur Recep , Gursel Mahmut Fikret , Malazgirt Zafer
Published: August 2022

Introduction: Obesity is a disease that shortens life expectancy and predisposes to many diseases such as severe hepatosteatosis. Hepatosteatosis is characterized by inflammatory infiltration of the portal space. Bariatric surgery has improvement effect on hepatosteatosis and degree of inflammation. Laparoscopic sleeve gastrectomy is an effective and most common therapeutic option for obesity. Neutrophil-lymphocyte ratio is a parameter associated with inflammatory disease. This study aimed to investigate if there is any correlation between improvements in hepatosteatosis and biochemical parameters especially neutrophil-lymphocyte ratio and ultrasonographic findings 1 year after the laparoscopic sleeve gastrectomy. Methods: The files of 66 patients who underwent laparoscopic sleeve gastrectomy between May 2017 and April 2020 were retrospectively reviewed. Preoperative and postoperative 1-year demographic data, biochemical and inflammatory parameters, and ultrasonographic reports of the liver were reviewed. Results: A statistically significant improvement in hepatosteatosis was demonstrated by ultrasonography 1 year after laparoscopic sleeve gastrectomy. A significant decrease was also observed in neutrophil-lymphocyte ratio. No correlation was found between the decrease of neutrophil-lymphocyte ratio and improvement in hepatosteatosis. There was also significant difference between the preoperative and postoperative BMI, biochemical and inflammatory parameters. Conclusion: However, we found laparoscopic sleeve gastrectomy is associated with significant improvement in hepatosteatosis and inflammatory parameters; no correlation between the improvement in hepatosteatosis and NLR was seen at 1 year.
Efetividade das terapias em grupo na qualidade de vida de pacientes com fibromialgia: uma revisão sistemática
Authors: Crestani Isabela , Costa Cauê Faquim , Ramsdorf Fabíola Beppu Muniz , Lima Verônica Palmiro da Silva e
Published: August 2022

Introdução: A fibromialgia é uma síndrome dolorosa muito comum na prática clínica, caracterizada, principalmente, por dor musculoesquelética crônica e generalizada, bem como fadiga, rigidez articular e distúrbios do sono. No entanto, possui uma apresentação clínica bastante vasta e heterogênea, comprometendo diversas esferas da vida dos pacientes. O objetivo foi verificar a efetividade das terapias em grupo na qualidade de vida dos pacientes fibromiálgicos. Método: Trata-se de uma revisão sistemática, a qual buscou analisar as pesquisas relacionadas ao tema entre 2010 e 2020. A busca dos artigos ocorreu na BVS nas bases de dados LILACS e MEDLINE, sendo incluídos apenas artigos originais disponíveis na íntegra. Resultados: Foram encontradas 86 publicações científicas e, após exclusão de duplicados, aplicação de filtros e análise inicial, foram selecionados 6 artigos para compor o corpo amostral. Posteriormente, os artigos foram agrupados de acordo com a sua temática central em: 1) Efeitos positivos da terapia interdisciplinar em grupo nos sintomas físicos e psicossociais da fibromialgia; 2) Empoderamento do paciente no enfrentamento da fibromialgia; e 3) Qualidade da assistência profissional e a rede de apoio social da terapia em grupo. Conclusão: Verificou-se que a aplicação das terapias em grupos impactou, positivamente, a qualidade de vida dos pacientes em sua dimensão física, psicoemocional e social. Além disso, concluiu-se que incluir o paciente como protagonista do seu tratamento e construir uma rede de apoio são fundamentais para o enfrentamento da doença.
O modernismo na perspectiva de Gilda de Mello e Souza
Authors: Fabris Annateresa
Published: August 2022

A contribuição de Gilda de Mello e Souza ao debate sobre o modernismo é discutida a partir de três eixos: 1 – a análise do artigo sobre os precursores, que introduziram elementos esparsos de modernidade na pintura nacional; 2 – a análise do ensaio dedicado à tensão entre vanguarda e nacionalismo no primeiro momento do modernismo pictórico; 3 – a revisão de algumas de suas formulações a par tir de pesquisas atuais.
Histórias e representações do Brasil: responsabilidades, cotejos, confrontos
Authors: Gouveia Inês , Galvão Luciana Suarez , Garcia Walter
Published: August 2022

Editorial da RIEB 82 - Dossiê Paralelos 22 - Histórias e representações do Brasil: responsabilidades, cotejos, confrontos
O reverso da outra independência: participação indígena no contexto político da década de 1820 (Cimbres, Pernambuco)
Authors: Dantas Mariana Albuquerque
Published: August 2022

O objetivo do artigo é analisar a atuação política dos indígenas do aldeamento de Cimbres, província de Pernambuco, nos conflitos ocorridos na década de 1820 em torno do processo de Independência do Brasil, procurando compreender as suas motivações. A contextualização múltipla foi instrumentalizada como método para analisar as redes de interdependênciaentre indígenas e não indígenas, bem como o impacto da atuação política dos primeiros no processo de formação do Estado nacional.
Vaivém Histórico
Authors: Baniwa Denilson
Published: August 2022

A invenção da tradição brasileira tem na sua raiz o apagamento de memórias ancestrais a este território também inventado.O que somos hoje é um juntado de recortes e refilamentos ao longo dos anos, em que apenas o que servia como escada para oprogresso fora aproveitado. Quanto àqueles que não se comportavam dentro da panela colonizadora, eram lançados à margem para que perecessem, sem luzes ou olhos que os notassem. Esquecimento era a pena a ser cumprida por não caberem nas retificações do “País do Futuro”. Hoje, como a volta da maré que pega alguns muitos de surpresa, corpos que haviam sido esquecidos voltam e afogam a História do Brasil. Um requerimento de luz sobre as ruínas. Vozes roucas de tanto gritar do lado de fora hoje assaltam a mesa grande, desta vez não atrás de farelos que caem das mãos gordas de quem se lambuzava há  éculos, mas atrás da coxa do porco europeu trazido por Cristóvão Colombo, ou do próprio europeu, se for o caso. Rescrever a história é raspar escórias e cracas agarradas do imaginário colonizatório e, a partir daí, sobrepor camadas de urucum, argila, jenipapo, carvão, crajiru e memórias daqueles que viraram alienígenas do progresso.
Modernismos alternativos, preto no branco
Authors: Brancato João
Published: August 2022

Resenha crítica da obra “Modernidade em preto e branco: arte e imagem, raça e identidade no Brasil, 1890-1945”, de autoria de Rafael Cardoso, publicada pela Companhia das Letras em 2022. São apresentados os principais objetivos do livro, as fontes utilizadas e teses defendidas, inserindo autor e obra nos debates historiográficos. Na resenha, especial atenção é dedicada às noções de modernidade e modernismo desenvolvidas por Cardoso.
Texts of Terror: The Bible and Bathroom Bill in Texas
Authors: Schones David A.
Published: August 2022

This paper discusses how faith-based advocacy organizations, such as the Texas Pastors Council, have used Genesis 1:27 to argue against the existence of a transgender identity and to defend the proposed (sb6) Texas Bathroom Bill. Highlighting the contemporary reception of this biblical text, the paper explores how Genesis 1–2 operates as a queer “text of terror.” This analysis proceeds in three parts. The first part examines how queer biblical scholars have interpreted this Genesis creation story. The second part builds on Deryn Guest’s argument, that Judges 3 is a “text of terror,” arguing that Genesis 1–2 may also lead to violence against the transgender community. The third section proposes a reading of Gen. 1:27 that contests the heteronormative gender identity endorsed in the narrative. This way of “reading forward” combats the normalizing discourse around human sexuality and reproduction often articulated in political and social arguments that use this text.
Citations, Allusions, and Marking Them in the Hebrew Bible: A Theoretical Introduction with Some Examples
Authors: Krause Joachim J.
Published: August 2022

Citing other texts or alluding to them, authors deliberately opt to rely on the readiness and ability of their readers to cooperate in the production of meaning. Hence it is only natural to reckon with the possibility that a given author would mark citations and allusions in such a way as to enable readers to realize the intended reference more easily. While the marking of textual references is well-investigated in comparative literature, with regard to the Hebrew Bible it has remained largely unexplored. Therefore, this article offers a theoretical introduction illustrated by examples. In so doing, it views matters from the perspective of both production and reception, thus taking into account the decisive role of what has been dubbed above the “cooperation” of the reader. In the end, this integrative approach will also allow for a more nuanced functional classification of citations, allusions, and cognate phenomena.
Fatwās for an Unprecedented Minority: Sheikh Rāʾid Badīr and the fiqh of Medical Transplantation for Muslims Living in Israel
Authors: Rubinstein-Shemer Nesya
Published: August 2022

This article deals with legal opinions (fatwās) for Muslims living in Israel as a minority under non-Muslim rule. A well-developed legal doctrine known as fiqh al-aqalliyyāt al-muslima (jurisprudence concerning Muslim minorities) applies to Muslim minorities living in the West. The innovators of fiqh al-aqalliyyāt, Yūsuf al-Qaraḍāwī and Ṭaha Jābir al-ʿAlwānī, did not issue legal opinions for the Muslim minority living in Israel, which, because of the Israeli-Palestinian conflict, is classified as The Abode of War (dār al-ḥarb). In this article, I examine developments in Islamic jurisprudence for the Muslim minority living in Israel, with a focus on the legal opinions of Sheikh Rāʾid Badīr, the senior religious authority of the southern branch of the Islamic Movement in Israel and the pioneer in issuing fatwās for the Muslim minority in Israel.
The Gulf of Guinea Proto-Creole and Its Daughter Languages: From Liquid Consonants to Complex Onsets and Vowel Lengthening
Authors: Bandeira Manuele , de Araujo Gabriel Antunes , Finbow Thomas
Published: August 2022

Four Portuguese-based Creoles are spoken on the islands in the Gulf of Guinea: Santome, Angolar, Lung’Ie, and Fa d’Ambô. These languages are descendants of the Portuguese-based Gulf of Guinea Proto-Creole, which emerged at the beginning of the sixteenth century on São Tomé Island. Based on Bandeira (2017), we discuss the development of liquid consonants in Santome, Lung’Ie, Angolar and Fa d’Ambô using data from the reconstruction, and we examine the developments in the daughter-languages of the proto-phonemes *r and *l that led to the synchronic systems and the present configurations in the daughter languages, since the liquid consonants evolved differently from the proto-creole. We show that the relation between long vowels and liquid consonants, both in coda and in complex onsets, can be better understood if we consider the modern lexical items in these four languages as continuations of proto-forms, with characteristic modifications in each language governed by regular processes.
Yiddish among Former Haredim
Authors: Benedict Eliyahu
Published: August 2022

This article examines the use of and attitudes towards Yiddish among former Haredim. Using an interview- and questionnaire-based study, I demonstrate that Yiddish- speaking former Haredim generally have positive attitudes towards the language and continue to use it on a frequent, and even daily, basis while hoping to pass it on to their children. Furthermore, attitudes towards Yiddish develop from being largely practical when respondents were members of Haredi communities to emotional and ideological after having left. However, in the majority of cases the desire to continue using Yiddish regularly and to pass it on to the next generation is in conflict with the practical realities of finding opportunities to do so under increased pressure from the local majority language and a lack of institutional and community support. Overall, I argue that former Haredim have the power to determine the future life, death, or resurrection of secular Yiddish.
The Mondragon Worker Cooperatives’ Employment Record 1983–2019
Authors: Reuten Geert
Published: August 2022

In 2019, the Mondragon worker cooperatives, which number around 100, employed over 81 000 workers. Based primarily on information from the Mondragon annual reports, this article traces Mondragon’s employment record from 1983–2019. In this period its Spanish employment growth outran that of Spain by a factor of 3.4, and that of the aggregated oecd countries by a factor of 6.3. On top of the Spanish employment, Mondragon cooperatives’ subsidiaries employed about 4300 workers abroad (7% of the total) in 2001, and about 14 500 (18% of the total) in 2019. The article expands on the reasons for this last type of employment. The article also explains why the proportion of cooperative owner-members in the total employment varies over time. Depending on the sector, in 2019 this proportion is 32–45%, and measured as a proportion of the employment in cooperatives 32–74%—the difference being engendered by non-cooperative subsidiaries. Many cooperatives regard these proportions as second-best practices in the search for a modus between competitive pressures and the maintenance of employment within cooperatives.
Deep mourning with the loss of Professor Qi-Bin Lin
Authors: HUANG DI-YING , CAI CHEN-YANG , ZHANG HAI-CHUN
Published: August 2022

Professor Qi-Bin Lin, a pioneer Chinese palaeoentomologist, passed away peacefully at his home in Nanjing on August 9, 2022, at his age of 87.
Descriptions of two new species of Armatoplana (Polycladida: Stylochoplanidae) from the coasts of Japan, with their phylogenetic positions in Leptoplanoidea
Authors: OYA YUKI , TSUYUKI AOI , KAJIHARA HIROSHI
Published: August 2022

We describe two new species of Armatoplana Faubel, 1983, namely, A. albomaculata sp. nov. and A. kaburakii sp. nov., from Japan. This is the first record of the genus from the West Pacific. Armatoplana albomaculata sp. nov. has the following characteristics: i) no nuchal tentacles; ii) white spots on the dorsal surface of the body; iii) an elongated oval prostatic vesicle directing posteriorly but curving dorsally in the distal part; iv) a long, curved penis stylet; and v) a small, oval Lang’s vesicle without accessory vesicles. Armatoplana kaburakii sp. nov. is distinguished from other congeners by having i) no nuchal tentacles; ii) a large, elongated Lang’s vesicle without accessory vesicles; and iii) gonopores opening closely to each other. We propose to re-circumscribe Armatoplana so that it would not become a junior synonym of Candimboides Prudhoe, 1982 and Phylloplana Laidlaw, 1903. We provide partial sequences of the mitochondrial cytochrome c oxidase subunit I (COI) gene as DNA barcodes for the two new species. Our phylogenetic analyses based on concatenated sequences of the 16S, 18S, and 28S ribosomal DNA and COI revealed that A. albomaculata sp. nov. and A. kaburakii sp. nov. were sister taxa; however, they did not form a monophyletic clade with Armatoplana divae (Marcus, 1947) and Armatoplana leptalea (Marcus, 1947).
Advertisement calls of 18 anuran species in the megadiverse Atlantic Forest in southeastern Brazil: review and update
Authors: MANZANO MARIA CAROLINA RODELLA , TAKENO MICHELE FERNANDES , SAWAYA RICARDO J.
Published: August 2022

Advertisement calls constitute the main acoustic signals emitted by frogs during reproductive seasons and are considered species-specific. Currently, many studies explore the advertisement calls in this group, including descriptions, taxonomy status, influence of social and ecological aspects, character displacement and plasticity. Although some patterns are detected in several anuran species, the possible intra and interpopulation variation is not well established for the group. Furthermore, new approaches have been proposed to standardize studies in the area and contribute to the description and interpretation of anuran calls, highlighting the urgency of a literature review. We aimed to review and update the advertisement calls of 18 anurans species from the megadiverse Atlantic Forest of Southeastern Brazil. We analyzed 1612 advertisement calls from 175 males of 18 anuran species recorded in ten communities between September 2018 and March 2019. We reviewed the information available in 23 scientific papers and describe each advertisement call based on recent papers. Our results include the definition of sound type for all species recorded, providing temporal and spectral parameters for each species along different localities, including intra and interpopulation variations. We provide new information on the frequency range (minimum and maximum frequencies) for eight species. A new description of the advertisement and territorial call of Boana bandeirantes is also provided based on our fieldwork observations. We emphasize that many species present interpopulation variance throughout their distribution in the megadiverse Atlantic Forest. We hope this information will contribute to future research on amphibian anuran bioacoustics and natural history.
The genus Ptiloneura (Psocodea: Ptiloneuridae) in Valle del Cauca, Colombia, altitudinal distribution, new records, and description of two species
Authors: GONZÁLEZ-OBANDO RANULFO , ALDRETE ALFONSO N. GARCÍA , CARREJO-GIRONZA NANCY , RODRÍGUEZ VALENTINA SARRIA
Published: August 2022

From recent collections of psocids in natural areas of Valle del Cauca, Colombia, new records and two new species of the genus Ptiloneura were found. The latter are described and illustrated: P. elduende n. sp., and P. pichindensis n. sp., that correspond to a subclade previously named as genus Loneuroides. A map with the geographical and altitudinal distribution of the species in the department of Valle del Cauca, and a key for the determination of the species (males) in this subclade are presented.
Contribution to the knowledge of the genus Ovipennis Hampson, 1900 with descriptions of two new species from Southern and Southwestern China (Lepidoptera, Erebidae, Arctiinae, Lithosiini)
Authors: ZHAO TING-TING , VOLYNKIN ANTON V. , HUANG SI-YAO , HAN HUI-LIN
Published: August 2022

The knowledge of the genus Ovipennis Hampson, 1900 is updated. Nanarsine milani (Černý, 2009) is recorded from China and Vietnam for the first time and transferred to the genus Ovipennis based on multilocus molecular phylogenetic and morphological analyses: O. milani (Černý, 2009), comb. n. Two new species related to Ovipennis semilutea species-group are described: O. mixta Huang, Zhao, Volynkin & Han, sp. n. from Guizhou and Hunan and O. multicornuta Huang, Volynkin, Zhao & Han, sp. n. from Sichuan. Adults and genitalia of the aforementioned taxa are illustrated.