bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Validation of Immune-Related Long Non-Coding RNA Signature for Predicting Immunotherapeutic Response and Prognosis in NSCLC Patients Treated With Immunotherapy
Authors: Ma Jianli , Zhang Minghui , Yu Jinming 
Published: July 2022

BackgroundNumerous studies have reported that long non-coding RNAs (lncRNAs) play important roles in immune-related pathways in cancer. However, immune-related lncRNAs and their roles in predicting immunotherapeutic response and prognosis of non-small cell lung cancer (NSCLC) patients treated with immunotherapy remain largely unexplored.MethodsTranscriptomic data from NSCLC patients were used to identify novel lncRNAs by a custom pipeline. ImmuCellAI was utilized to calculate the infiltration score of immune cells. The marker genes of immunotherapeutic response-related (ITR)-immune cells were used to identify immune-related (IR)-lncRNAs. A co-expression network was constructed to determine their functions. LASSO and multivariate Cox analyses were performed on the training set to construct an immunotherapeutic response and immune-related (ITIR)-lncRNA signature for predicting the immunotherapeutic response and prognosis of NSCLC. Four independent datasets involving NSCLC and melanoma patients were used to validate the ITIR-lncRNA signature.ResultsIn total, 7,693 novel lncRNAs were identified for NSCLC. By comparing responders with non-responders, 154 ITR-lncRNAs were identified. Based on the correlation between the marker genes of ITR-immune cells and lncRNAs, 39 ITIR-lncRNAs were identified. A co-expression network was constructed and the potential functions of 38 ITIR-lncRNAs were annotated, most of which were related to immune/inflammatory-related pathways. Single-cell RNA-seq analysis was performed to confirm the functional prediction results of an ITIR-lncRNA, LINC01272. Four-ITIR-lncRNA signature was identified and verified for predicting the immunotherapeutic response and prognosis of NSCLC. Compared with non-responders, responders had a lower risk score in both NSCLC datasets (P&lt;0.05). NSCLC patients in the high-risk group had significantly shorter PFS/OS time than those in the low-risk group in the training and testing sets (P&lt;0.05). The AUC value was 1 of responsiveness in the training set. In melanoma validation datasets, patients in the high-risk group also had significantly shorter OS/PFS time than those in the low-risk group (P&lt;0.05). The ITIR-lncRNA signature was an independent prognostic factor (P&lt;0.001).ConclusionThousands of novel lncRNAs in NSCLC were identified and characterized. In total, 39 ITIR-lncRNAs were identified, 38 of which were functionally annotated. Four ITIR-lncRNAs were identified as a novel ITIR-lncRNA signature for predicting the immunotherapeutic response and prognosis in NSCLC patients treated with immunotherapy.
Multi-Omics Integration-Based Prioritisation of Competing Endogenous RNA Regulation Networks in Small Cell Lung Cancer: Molecular Characteristics and Drug Candidates
Authors: Wang Xiao-Jun , Gao Jing , Yu Qin , Zhang Min , Hu Wei-Dong 
Published: July 2022

BackgroundThe competing endogenous RNA (ceRNA) network-mediated regulatory mechanisms in small cell lung cancer (SCLC) remain largely unknown. This study aimed to integrate multi-omics profiles, including the transcriptome, regulome, genome and pharmacogenome profiles, to elucidate prioritised ceRNA characteristics, pathways and drug candidates in SCLC.MethodWe determined the plasma messenger RNA (mRNA), microRNA (miRNA), long noncoding RNA (lncRNA) and circular RNA (circRNA) expression levels using whole-transcriptome sequencing technology in our SCLC plasma cohort. Significantly expressed plasma mRNAs were then overlapped with the Gene Expression Omnibus (GEO) tissue mRNA data (GSE 40275, SCLC tissue cohort). Next, we applied a multistep multi-omics (transcriptome, regulome, genome and pharmacogenome) integration analysis to first construct the network and then to identify the lncRNA/circRNA-miRNA-mRNA ceRNA characteristics, genomic alterations, pathways and drug candidates in SCLC.ResultsThe multi-omics integration-based prioritisation of SCLC ceRNA regulatory networks consisted of downregulated mRNAs (CSF3R/GAA), lncRNAs (AC005005.4-201/DLX6-AS1-201/NEAT1-203) and circRNAs (hsa_HLA-B_1/hsa_VEGFC_8) as well as upregulated miRNAs (hsa-miR-4525/hsa-miR-6747-3p). lncRNAs (lncRNA-AC005005.4-201 and NEAT1-203) and circRNAs (circRNA-hsa_HLA-B_1 and hsa_VEGFC_8) may regulate the inhibited effects of hsa-miR-6747-3p for CSF3R expression in SCLC, while lncRNA-DLX6-AS1-201 or circRNA-hsa_HLA-B_1 may neutralise the negative regulation of hsa-miR-4525 for GAA in SCLC. CSF3R and GAA were present in the genomic alteration, and further identified as targets of FavId and Trastuzumab deruxtecan, respectively. In the SCLC-associated pathway analysis, CSF3R was involved in the autophagy pathways, while GAA was involved in the glucose metabolism pathways.ConclusionsWe identified potential lncRNA/cirRNA-miRNA-mRNA ceRNA regulatory mechanisms, pathways and promising drug candidates in SCLC, providing novel potential diagnostics and therapeutic targets in SCLC.
Case Report: Successful Treatment With Anti-C5 Monoclonal Antibody in a Japanese Adolescent Who Developed Thrombotic Microangiopathy After Autologous Bone Marrow Transplantation for Malignant Lymphoma
Authors: Shimizu Shoichi , Morohashi Tamaki , Kanezawa Koji , Yagasaki Hiroshi , Takahashi Shori , Morioka Ichiro 
Published: July 2022

BackgroundTransplant-associated thrombotic microangiopathy (TA-TMA) is a serious complication of bone marrow transplantation (BMT). Recently, abnormalities in the complement system have been identified in the pathogenesis of TA-TMA, and there are series of reports stating that anti-C5 monoclonal antibody (eculizumab) is effective in patients with high levels of the membrane attack complex (C5b-9).Case PresentationA 12-year-old boy underwent autologous BMT after receiving high-dose chemotherapy for malignant lymphoma. The patient was engrafted on day 19 after transplantation; however, hemolytic anemia and non-immune thrombocytopenia persisted, and haptoglobin decreased on day 46. Moreover, on day 83, the patient developed pulmonary hemorrhage, hypertension, severe proteinuria, hematuria, and acute kidney injury (AKI). Pulmonary bleeding stopped with daily platelet transfusion and hemostatic agents, but reappeared on day 100. Based on the presence of destruction of red blood cells, elevated lactate dehydrogenase levels, negative direct and indirect Coombs tests, normal ADAMTS13 levels, hemolytic anemia, non-immune thrombocytopenia, and AKI, the patient was diagnosed with systemic TA-TMA and we initiated plasma exchange (PE) and continuous hemodialysis for AKI. High C5b-9 levels were identified at the start of the series of PE, therefore we decided to administer eculizumab. After three courses of eculizumab, no pulmonary hemorrhage was observed, and anemia, thrombocytopenia, renal dysfunction, hematuria, and proteinuria all tended to improve. Three years after transplantation, the patient is alive and does not require eculizumab.DiscussionEculizumab is a humanized monoclonal antibody that binds complement protein C5, preventing cleavage C5 and the formation of C5b-9. In this case, TA-TMA could not be controlled with PE alone. We therefore decided to use eculizumab relatively early based on the high C5b-9 level and could resolve the momentum of TA-TMA.ConclusionIn previous reports, TA-TMA typically occurred in early post-allogeneic BMT of patients with lymphoma or in post-autologous BMT of patients with neuroblastoma and was treated with eculizumab. We here reported that eculizumab could be successful treatment for TA-TMA in post-autologous BMT of patient with lymphoma.
Entrustable Professional Activities for Chinese Standardized Residency Training in Pediatric Intensive Care Medicine
Authors: Yun Zhang , Jing Liu , Junfei Chen , Wenjing Zhang , Jinxiang Wu , Tong Yue , Aijun Zhang 
Published: July 2022

BackgroundEntrustable professional activities (EPAs) were first introduced by Olle ten Cate in 2005. Since then, hundreds of applications in medical research have been reported worldwide. However, few studies discuss the use of EPAs for residency training in pediatric intensive care medicine. We conducted a pilot study of EPA for pediatric intensive care medicine to evaluate the use of EPAs in this subspecialty.Materials and MethodsA cross-sectional study was implemented in pediatric intensive care medicine standardized residency training at the Qilu Hospital of Shandong University. An electronic survey assessing EPA performance using eight scales composed of 15 categories were distributed among residents and directors.ResultsA total of 217 director-assessment and 44 residents’ self-assessment questionnaires were collected, both demonstrating a rising trend in scores across postgraduate years. There were significant differences in PGY1-vs.-PGY2 and PGY1-vs.-PGY3 director-assessment scores, while there were no differences in PGY2-vs.-PGY3 scores. PGY had a significant effect on the score of each EPA, while position significantly affected the scores of all EPAs except for EPA1 (Admit a patient) and EPA2 (Select and interpret auxiliary examinations). Gender only significantly affected the scores of EPA6 (Report a case), EPA12 (Perform health education), and EPA13 (Inform bad news).ConclusionThis study indicates that EPA assessments have a certain discriminating capability among different PGYs in Chinese standardized residency training in pediatric intensive care medicine. Postgraduate year, gender, and resident position affected EPA scores to a certain extent. Given the inconsistency between resident-assessed and director-assessed scores, an improved feedback program is needed in the future.
Impact of Coronavirus Disease of 2019 Vaccine on Health and Physical Activities Among Physical Education Students in China
Authors: Ahmed Laar Rizwan , Zhang Zhengyi , Menhas Rashid , Zhang Lei , Zhu Shicheng , Fan Xin , Wang Wei , Li Shumin 
Published: July 2022

PurposeThis research focused primarily on the impact of the SARS-CoV-2 Vaccine (VeroCell) on Chinese physical education (PE) students' health and physical activity (PA) performance.MethodsThis study used quantitative methods and phenomenological procedures to collect and analyze data. Survey techniques were the main method used for collecting data from Chinese university students, using a self-designed questionnaire with a Cronbach's alpha α value of 0.76. To ensure the quality of the study, confirmatory factor analyses (CFA) were conducted, and the internal consistency reliability of the instrument was measured (alpha coefficient = 0.82). The determined sample size was 490 and around 90% as the minimum sample size was determined with the help of a sample size calculator. The author using factor loadings with h2 and an independent-sample t-test analyzed the responses of the remaining valid participants (n = 443 with a response rate of 90.40).ResultsMost participants (around 94%) did not experience any adverse reactions that impacted their daily life activities, health, or performance during physical activity. However, about 30–40% of students felt lethargy, weakness, muscle pain, or swelling. Regarding the impact of the vaccine on daily life, there was no difference in the responses between participants who had only received one shot of the coronavirus disease 2019 (COVID-19) vaccine and those who had received two shots (p &gt; 0.05 in most cases).ConclusionThe study concluded that the COVID-19 vaccine had no significant effect on PE students' daily activities, health, and PA performance. The results of this study could be used by policymakers to encourage people to get vaccinated and eradicate the isolation caused by COVID-19, which leads many people to develop various non-communicable diseases (NCDs).
BBX24 Interacts with DELLA to Regulate UV-B-Induced Photomorphogenesis in Arabidopsis thaliana
Authors: Huang Yuewei , Xiong Hui , Xie Yuxin , Lyu Suihua , Miao Tingting , Li Tingting , Lyu Guizhen , Li Shaoshan 
Published: July 2022

UV-B radiation, sensed by the photoreceptor UVR8, induces signal transduction for plant photomorphogenesis. UV-B radiation affects the concentration of the endogenous plant hormone gibberellin (GA), which in turn triggers DELLA protein degradation through the 26S proteasome pathway. DELLA is a negative regulator in GA signaling, partially relieving the inhibition of hypocotyl growth induced by UV-B in Arabidopsis thaliana. However, GAs do usually not work independently but integrate in complex networks linking to other plant hormones and responses to external environmental signals. Until now, our understanding of the regulatory network underlying GA-involved UV-B photomorphogenesis had remained elusive. In the present research, we investigate the crosstalk between the GA and UV-B signaling pathways in UV-B-induced photomorphogenesis of Arabidopsis thaliana. Compared with wild type Landsberg erecta (Ler), the abundance of HY5, CHS, FLS, and UF3GT were found to be down-regulated in rga-24 and gai-t6 mutants under UV-B radiation, indicating that DELLA is a positive regulator in UV-B-induced photomorphogenesis. Our results indicate that BBX24 interacts with RGA (one of the functional DELLA family members). Furthermore, we also found that RGA interacts with HY5 (the master regulator in plant photomorphogenesis). Collectively, our findings suggest that the HY5–BBX24–DELLA module serves as an important signal regulating network, in which GA is involved in UV-B signaling to regulate hypocotyl inhibition.
Hybrid Fault Prognostics for Nuclear Applications: Addressing Rotating Plant Model Uncertainty
Authors: Blair Jennifer , Stephen Bruce , Brown Blair , Forbes Alistair , Mcarthur Stephen 
Published: July 2022

Nuclear plant operators are required to understand the uncertainties associated with the deployment of prognostics toolsin order to justify their inclusion in operational decision making processes and satisfy regulatory requirements. Operationaluncertainty can cause underlying prognostics models to underperform on assets that are subject to evolving impactsof age, manufacturing tolerances, operating conditions, and operating environment effects, of which may be capturedthrough a condition monitoring (CM) system that itself may be degraded. Sources of uncertainty in the data acquisitionpipeline can impact the health of CM data used to estimate the remaining useful life (RUL) of assets. These uncertaintiescan disguise or misrepresent developing faults, where (for example) the fault identification is not achieved until it hasprogressed to an unmanageable state. This leaves little flexibility for the operator’s maintenance decisions and generallyundermines model confidence.
One method to quantify and account for operational uncertainty is calibrated hybrid models, employing physics, knowledgeor data driven methods to improve model accuracy and robustness. Hybrid models allow known physical relations tooffset full reliance on potentially untrustworthy data, whilst reducing the need for an abundance of representative historicaldata to reliably identify the monitored asset’s underlying behavioural trends. Calibration of the model then ensuresthe model is updated and representative of the real monitored asset by accounting for differences between the physics orknowledge model and CM data.
In this paper, an open-source bearing knowledge informed machine learning (ML) model and CM datasets are utilizedin an illustrative bearing prognostic application. The uncertainty incurred by the decisions made at key stages in thedevelopment of the model’s data acquisition and processing pipeline are assessed and demonstrated by the resultant impacton RUL prediction performance. It was shown that design decisions could result in multiple valid pipeline designswhich generated different predicted RUL trajectories, increasing the uncertainty in the model output.
Fault Detection in a Wind Turbine Hydraulic Pitch System Using Deep Autoencoder Extracted Features
Authors: Korkos Panagiotis , Kleemola Jaakko , Linjama Matti , Lehtovaara Arto 
Published: July 2022

A wind turbine is equipped with lots of sensors whose measurements are recorded by the supervisory control and data acquisition (SCADA) system and stored every 10 minutes. The pitch subsystem of a wind turbine is of critical importance as it presents the highest failure rate. Thus, selecting the most essential features from the SCADA system is performed in order to detect faults efficiently. In this study, a feature space of 49 features is available, referring to the condition of a hydraulic pitch system. The dimensionality of this feature space (original input space) is reduced using a Deep Autoencoder in order to extract latent information. The architecture of the Autoencoder is investigated regarding its efficiency on fault detection task. This way, effect of new extracted features on the performance of the classifier is presented. A Support Vector Machine (SVM) classifier is trained using a set of healthy (fault free) and faulty data, representing different kind of pitch system failures. The data are acquired from a wind farm of five 2.3MW fixed-speed wind turbines. The performance metric used to evaluate their effect on data is F1-score. Results show that SVM using new extracted feature by Autoencoder outperforms SVM classifier using the original feature set, underlining the power of Autoencoders to unveil latent information.
Data-Driven Fault Detection for Transmitter in Logging-While-Drilling Tool
Authors: Sobczak-Oramus Karolina , Mosallam Ahmed , Basci Caner , Kang Jinlong 
Published: July 2022

Logging tools widely used in the oil and gas industry are exposed to demanding environmental conditions that can lead to faster degradation and unexpected failures. These events can reduce productivity, delay deliverables, or even bring entire drilling operations to an end. However, such accidents can be avoided using a prognostics and health management approach. This paper presents a data-driven fault detection method for transmitter in logging-while-drilling tool adopting a support vector machine classifier. The health analyzer determines the component’s physical condition in just a few minutes, demonstrating an exceptional value for both field and maintenance engineers. This work is part of a long-term project aimed at constructing a digital fleet management system for downhole testing tools.
The Effect of Combination of Green Tea and Roselle Extract on Morphology and Motility of Spermatozoa in Rats Induced by Monosodium Glutamate
Authors: Adinugroho Nurjaya , Awal Prasetyo  , Eriawan Agung Nugroho  
Published: July 2022

Background: Infertility is a reproductive system problem and has been increasing recently. One of the reasons is the poor quality of spermatozoa, which can be assessed through its morphology and motility. Excessive consumption of MSG can affect the quality of spermatozoa. The provision of a combination of green tea and roselle extract, which is an antioxidant and is expected to be able to counteract the effects of MSG’s free radicals on spermatozoa. The objective of the study is to determine the morphology and motility of Wistar Rats’ spermatozoa in the control group given MSG and in the experimental group given MSG and a combination of green tea and roselle extract at a dose of 200 mg/kg/day and 400 mg/kg/day for 14 days.
Methods: Fifteen Wistar rats were randomly divided into three groups, a control group with MSG, group 1 with MSG and a combination of green tea and roselle extract at a dose of 200 mg/kg BW/day (P1), and group 2 with MSG and combination green tea and roselle extract at a dose of 400 mg/kg BW/day (P2). After 14 days of treatment, the morphology and motility of the spermatozoa of each mouse were studied and assessed microscopically.
Results: In the morphological study, the control group had the lowest normal value and the highest abnormal value among all groups. Meanwhile, the P1 group had the highest normal and lowest abnormal values compared to the other two groups.
Conclusion: The administration of a combination of green tea and roselle extract improved the morphology and motility of Wistar rats’ spermatozoa. However, an increased dose of a combination of green tea and roselle extract was not proven to affect the morphology and motility of Wistar rats' spermatozoa.
A bad day to ski: AAST grade V liver laceration.
Authors: Cano Pina MB , Jurado Prieto FJ , García Martínez MÁ , Lendínez Romero I , González Puga C , Mirón Pozo B 
Published: July 2022

Resumen

Se presenta un paciente con traumatismo abdominal contuso con lesión hepática grave (grado V de la AAST). Ante la situación de inestabilidad hemodinámica se realiza cirugía de control de daños dejando packing sobre la superficie hepática y second-look a las 48 horas.
META-LITERARY NARRATIVE IN READING EDUCATION: THE CASE OF CONTEMPORARY GERMAN YOUTH NOVELS
Authors: Hernández Medina Juan José 
Published: July 2022

In this investigation, we study the presence of a transgressive poetic practice in German young readers’ narrative from the 21st century that brings forth a myriad of advantages where the reader-literacy competence of the young readers are concerned. The term in question is deemed as metaliterature which is a textual modality that breaks the mould and creates the topic of the current conventions of traditional rhetoric which requires a more active participation on behalf of the reader throughout the process of how the work is to be perceived.
With this intention in mind, three meta-literary resources frequently used in twelve contemporary young reader German novels have undergone investigation which reinforce their own nature of literary artefacts: intertextuality, metalepsis and meta-literary observations. These resources trigger the activation of reader-literary strategies during the receptive process of the work, given that it breaks and reveals basic codes in the art of the written word.
TEACHING WORD-FORMATION THROUGH FLIPPED LEARNING: A PROPOSAL FOR UNIVERSITY LECTURES
Authors: Crespo Fernández Eliecer 
Published: July 2022

In recent years, thanks to the advent of the Internet technology, flipped learning, in which instruction is accessed at home in advance of class, has received considerable attention as an alternative to traditional lecture-based classroom practices, as it leaves class time for developing higher-order competencies such as applying, analyzing and evaluating by offering students more opportunities for problem-solving, discussion and collaborative learning. The purpose of this article is to present a proposal for teaching English word-formation processes, namely compounding, conversion, blending and clipping, in higher education through flipped learning, understood here as a form of blended learning that incorporates elements from traditional face-to-face teaching, online instruction and cooperative group work. This teaching proposal, which combines the so-called “discussion-oriented” and “group-based” flipped classroom models, includes contents, objectives, competencies, activities and assessment. Although originally designed for Spanish students of English morphology, the proposal is easily adaptable to related courses and provides a basis for teaching a range of linguistic subjects through the inverted classroom approach.