bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Factors Affecting the Performance of Stock and Bond-Based ETF on The Indonesia Stock Exchange
Authors: Christi Eva Aprilia , Sihombing Pardomuan 
Published: June 2023

This study aims to determine the analysis of factors that affect the performance of stock and bond-based ETFs on the Indonesian stock exchange. This research was conducted on stock and bond-based ETFs listed on the Indonesian stock exchange for the period 2019-2021. The sampling technique used in this research is purposive sampling. The samples in this study were 13 stock-based ETFs and 1 bond-based ETF sourced from Bloomberg, the Indonesian stock exchange website, ETF prospectus and asset management website. The data analysis method used is panel data regression analysis with the EViews program tool. The results of this study indicate that Risk affects the performance of stock and bond-based ETFs, Tracking Errors affect the performance of stock and bond-based ETFs, Expense Ratio has no significant impact on the performance of stock and bond-based ETFs. Key Words: ETFs, Risk, Tracking Error, Expense Ratio, Stock, Bond
Under Construction: A Catalogue Raisonné Of El Lissitzky's “The Constructor (Self-Portrait)”
Authors: MacMillan Misty-Dawn 
Published: June 2023

<p> This thesis is a catalogue raisonné of El Lissitzky’s The Constructor (Self-Portrait). El Lissitzky’s The Constructor (Self-Portrait) is an iconic photograph of the Russian avant-garde. While historians have recognized the photograph has variants, none have attempted to compile a comprehensive inventory. Based on publications, museum catalogue records, auction catalogue records, email correspondence, and for 2 prints, in-person analysis, this thesis catalogues the 3 negatives, 53 prints, 9 reproductions, and 15 documents that relate to the photograph. Chapter 1 describes a precursory Self-Portrait. Chapter 2 describes elements used in The Constructor (Self-Portrait) and is broken down into 4 sections: selfportrait, hand with compass, self-portrait with hand and compass, and letterhead. Chapter 3 describes The Constructor (Self-Portrait) and breaks its variants down into 8 distinct batches. </p>
Afternoon of “El Satario”: Expanding on the Finding of an Unidentified Print
Authors: Gomes Leonardo 
Published: June 2023

<p>Found in the collection of The ArQuives, Toronto’s queer archives, the early pornographic film El satario is believed to have been produced in Argentina between 1907 and 1912, primarily based on the Kinsey Institute’s estimate. This dating is very rarely contested, and the film is widely considered the oldest extant pornographic film, even though its date, as well as its place, of production have never been confirmed. This thesis will investigate what can be expanded from the initial analysis of a found print and the path followed by the researcher in his attempt to understand the social, cultural, and technical context behind the film’s production, circulation, and reception. Each chapter will deal with a broad theme that contributes to contextualizing and unraveling the mysteries of El satario, as well as providing both the reader and the researcher with a broader understanding not only of the film itself but of what revolves around it. </p>
Follow-up of CRT-D patients downgraded to CRT-P at the time of generator exchange
Authors: Frey Simon Martin , Brenner Roman , Theuns Dominic A. , Al-Shoaibi Naeem , Crawley Richard J. , Ammann Peter , Sticherling Christian , Kühne Michael , Osswald Stefan , Schaer Beat 
Published: June 2023

BackgroundSome patients with cardiac resynchronisation therapy (CRT) experience super-response (LVEF improvements to ≥50%). At generator exchange (GE), downgrading (DG) from CRT-defibrillator (CRT-D) to CRT-pacemaker (CRT-P) could be an option for these patients on primary prevention ICD indication and no required ICD therapies. Long-term data on arrhythmic events in super-responders is scarce.MethodsCRT-D patients with LVEF improvement to ≥50% at GE were identified in four large centres for retrospective analysis. Mortality, significant ventricular tachyarrhythmia and appropriate ICD-therapy were determined, and patient analysis was split into two groups (downgraded to CRT-P or not).ResultsSixty-six patients (53% male, 26% coronary artery disease) on primary prevention were followed for a median of 129 months [IQR: 101–155] after implantation. 27 (41%) patients were downgraded to CRT-P at GE after a median of 68 [IQR: 58–98] months (LVEF 54% ± 4%). The other 39 (59%) continued with CRT-D therapy (LVEF 52% ± 6%). No cardiac death or significant arrhythmia occurred in the CRT-P group (median follow-up (FU) 38 months [IQR: 29–53]). Three appropriate ICD-therapies occurred in the CRT-D group [median FU 70 months (IQR: 39–97)]. Annualized event-rates after DG/GE were 1.5%/year and 1.0%/year in the CRT-D group and the whole cohort, respectively.ConclusionsNo significant tachyarrhythmia were detected in the patients downgraded to CRT-P during follow-up. However, three events were observed in the CRT-D group. Whilst downgrading CRT-D patients is an option, a small residual risk for arrhythmic events remains and decisions regarding downgrade should be made on a case-by-case basis.
Teacher professional development for managing antisocial behaviors: a qualitative study to highlight status, limitations and challenges in educational institutions in the metropolis city of Pakistan
Authors: Siddiqui Sohni , Kazmi Anjum Bano , Kamran Mahwish 
Published: June 2023

IntroductionA community cannot avoid the frustrating problem of antisocial behavior, which consists of actions that violate traditions or standards. To deal with the antisocial behavior and aggression in children, a variety of techniques and interventions have been proposed and applied throughout the world. Teachers can overcome antisocial behavior in educational institutions through professional development programs. In Pakistan, there are few studies that focus on teachers’ professional development in behavior management, which should be investigated.MethodsA qualitative research study examined teacher professional development courses aimed at improving classroom management skills and controlling antisocial behaviors by collecting information from instructors. This approach was taken because this study aims to identify teacher educators’ experiences related to antisocial and aggression control training in the school setting. In addition, the limitations and challenges associated with such development programs are revealed through semi-structured interviews.ResultsResearchers reported major challenges related to such trainings include resistance and unwillingness of school authorities and teachers to participate in such trainings, as well as lack of resources and finances.DiscussionTo ensure that teacher training is effective and leads to the development of teacher skills and improvement of student behavior, researchers recommend implementing evidence-based intervention programs with ongoing monitoring by a trained teacher specialist. It is also recommended that curricula be standardized and in-service training results be empirically verified.
Multispectral remote sensing and DANet model improve the precision of urban park vegetation detection: an empirical study in Jinhai Park, Shanghai
Authors: Wei Weixuan , Cao Jingyi , Wang Nan , Qian Yuhui 
Published: June 2023

IntroductionThe precise detection of vegetation in urban parks is crucial for accurate carbon sink calculations and planting assessments, particularly in high-density cities. Unlike traditional methods designed for forest vegetation, the detection and classification of urban park vegetation face challenges such as unclear boundaries, multiple vegetation categories, low image resolution, labor-intensive manual calculations, and unreliable modeling results. However, by utilizing unmanned aerial vehicles (UAVs) equipped with high-resolution visible and multispectral (MS) remote sensing cameras, it becomes possible to label images with green normalized difference vegetation index (GNDVI) and full-spectral three-channel information.MethodsBy employing a dual attention convolutional neural network (DANet) model that incorporates image fusion, DANet, and feature decoding networks, the high-precision detection of urban park vegetation can be significantly improved.ResultsEmpirical validation carried out in Jinhai Park since 2021 has provided evidence of the effectiveness of the DANet model when utilizing early fusion and feature fusion techniques. This model achieves an accurate detection rate of 88.6% for trees, 92.0% for shrubs, 92.6% for ground cover, and 91.8% for overall vegetation. These detection rates surpass those achieved using only visible images (88.7%) or GNDVI images (86.6%).DiscussionThe enhanced performance can be attributed to the intelligent capabilities of the double-in network. This high-precision detection model provides more precise scientific and technical support for subsequent park carbon sink calculations, assessments of existing vegetation for planting designs, and evaluations of urban ecological impacts.
Trees response to selective thinning and pruning in Sudanian woodland zone
Authors: Assèdé Eméline Sêssi Pélagie , Biaou Samadori Sorotori Honoré , Azihou Akomian Fortuné , Orou Hidirou , Geldenhuys Coert Johannes , Chirwa Paxie Wanangwa 
Published: June 2023

IntroductionManaging the degradation and loss of Sudanian woodlands to ensure sustainable use for mainly firewood, poles, and timber is receiving increasing attention, and it requires tailored strategies to improve stand productivity. This study determined: (i) tree response (density, recruitment, and height growth) to selective stem thinning and branch pruning; and (ii) tree species that are most affected by selective stem thinning and branch pruning in the Sudanian woodland of Benin.MethodsThree homogeneous vegetation units of 80 m × 80 m each were identified, representing the three stages of woodland development (WDS): early and young WDS of 3 and 3–5 years old, respectively, and the advanced to mature secondary WDS of 6–9 years old. Three random blocks of 20 m × 20 m each, subdivided into four 10 m × 10 m treatment plots, were delineated per vegetation unit. Each of these plots was randomly assigned a treatment (T): T1—no thinning and no pruning; T2—30% thinning; T3—60% thinning; T4—100% thinning. Branch pruning was applied to all remaining stems in T2 and T3. Tree species, stem abundance and height of individuals = 1 m were recorded every 6 months in 2015 and 2016.Results and discussionThinning intensity significantly influence tree density both in WDS 2 and 3 with the 30% thinning showing the best tree density (3355.56 ± 250.19 stems/ha and 3255.56 ± 772.68 stems/ha, respectively). However, more stem recruitment was observed without thinning and pruning (883.33 ± 212.13 stems/ha), and 30% thinning and pruning (383.33 ± 164.99 stems/ha). There was a significant increase in tree height growth both in WDS 2 and 3 with an increasing thinning intensity. The two most affected tree species were Terminalia avicennioides and Pteleopsis suberosa with an average growth in height after 6 months of 105.5 ± 1.05 mm (for 30% thinning and pruning in stage 3), and 61.75 ± 0.67 mm (for 60% thinning and pruning in stage 3), respectively. Overall, moderate stem thinning (30%) at WDS 1 and more severe thinning at WDS 2 and 3 resulted in the best tree height growth and recruitment.
Identification and validation of a novel mitochondrion-related gene signature for diagnosis and immune infiltration in sepsis
Authors: Hao Shuai , Huang Miao , Xu Xiaofan , Wang Xulin , Song Yuqing , Jiang Wendi , Huo Liqun , Gu Jun 
Published: June 2023

BackgroundOwing to the complex pathophysiological features and heterogeneity of sepsis, current diagnostic methods are not sufficiently precise or timely, causing a delay in treatment. It has been suggested that mitochondrial dysfunction plays a critical role in sepsis. However, the role and mechanism of mitochondria-related genes in the diagnostic and immune microenvironment of sepsis have not been sufficiently investigated.MethodsMitochondria-related differentially expressed genes (DEGs) were identified between human sepsis and normal samples from GSE65682 dataset. Least absolute shrinkage and selection operator (LASSO) regression and the Support Vector Machine (SVM) analyses were carried out to locate potential diagnostic biomarkers. Gene ontology and gene set enrichment analyses were conducted to identify the key signaling pathways associated with these biomarker genes. Furthermore, correlation of these genes with the proportion of infiltrating immune cells was estimated using CIBERSORT. The expression and diagnostic value of the diagnostic genes were evaluated using GSE9960 and GSE134347 datasets and septic patients. Furthermore, we established an in vitro sepsis model using lipopolysaccharide (1 µg/mL)-stimulated CP-M191 cells. Mitochondrial morphology and function were evaluated in PBMCs from septic patients and CP-M191 cells, respectively.ResultsIn this study, 647 mitochondrion-related DEGs were obtained. Machine learning confirmed six critical mitochondrion-related DEGs, including PID1, CS, CYP1B1, FLVCR1, IFIT2, and MAPK14. We then developed a diagnostic model using the six genes, and receiver operating characteristic (ROC) curves indicated that the novel diagnostic model based on the above six critical genes screened sepsis samples from normal samples with area under the curve (AUC) = 1.000, which was further demonstrated in the GSE9960 and GSE134347 datasets and our cohort. Importantly, we also found that the expression of these genes was associated with different kinds of immune cells. In addition, mitochondrial dysfunction was mainly manifested by the promotion of mitochondrial fragmentation (p&lt;0.05), impaired mitochondrial respiration (p&lt;0.05), decreased mitochondrial membrane potential (p&lt;0.05), and increased reactive oxygen species (ROS) generation (p&lt;0.05) in human sepsis and LPS-simulated in vitro sepsis models.ConclusionWe constructed a novel diagnostic model containing six MRGs, which has the potential to be an innovative tool for the early diagnosis of sepsis.
Potential biomarkers uncovered by bioinformatics analysis in sotorasib resistant-pancreatic ductal adenocarcinoma
Authors: Ramalingam Prasanna Srinivasan , Priyadharshini Annadurai , Emerson Isaac Arnold , Arumugam Sivakumar 
Published: June 2023

BackgroundMutant KRAS-induced tumorigenesis is prevalent in lung, colon, and pancreatic ductal adenocarcinomas. For the past 3 decades, KRAS mutants seem undruggable due to their high-affinity GTP-binding pocket and smooth surface. Structure-based drug design helped in the design and development of first-in-class KRAS G12C inhibitor sotorasib (AMG 510) which was then approved by the FDA. Recent reports state that AMG 510 is becoming resistant in non-small-cell lung cancer (NSCLC), pancreatic ductal adenocarcinoma (PDAC), and lung adenocarcinoma patients, and the crucial drivers involved in this resistance mechanism are unknown.MethodsIn recent years, RNA-sequencing (RNA-seq) data analysis has become a functional tool for profiling gene expression. The present study was designed to find the crucial biomarkers involved in the sotorasib (AMG 510) resistance in KRAS G12C-mutant MIA-PaCa2 cell pancreatic ductal adenocarcinoma cells. Initially, the GSE dataset was retrieved from NCBI GEO, pre-processed, and then subjected to differentially expressed gene (DEG) analysis using the limma package. Then the identified DEGs were subjected to protein–protein interaction (PPI) using the STRING database, followed by cluster analysis and hub gene analysis, which resulted in the identification of probable markers.ResultsFurthermore, the enrichment and survival analysis revealed that the small unit ribosomal protein (RP) RPS3 is the crucial biomarker of the AMG 510 resistance in KRAS G12C-mutant MIA-PaCa2 cell pancreatic ductal adenocarcinoma cells.ConclusionFinally, we conclude that RPS3 is a crucial biomarker in sotorasib resistance which evades apoptosis by MDM2/4 interaction. We also suggest that the combinatorial treatment of sotorasib and RNA polymerase I machinery inhibitors could be a possible strategy to overcome resistance and should be studied in in vitro and in vivo settings in near future.
Development and validation of an interpretable machine learning model—Predicting mild cognitive impairment in a high-risk stroke population
Authors: Yan Feng-Juan , Chen Xie-Hui , Quan Xiao-Qing , Wang Li-Li , Wei Xin-Yi , Zhu Jia-Liang 
Published: June 2023

BackgroundMild cognitive impairment (MCI) is considered a preclinical stage of Alzheimer’s disease (AD). People with MCI have a higher risk of developing dementia than healthy people. As one of the risk factors for MCI, stroke has been actively treated and intervened. Therefore, selecting the high-risk population of stroke as the research object and discovering the risk factors of MCI as early as possible can prevent the occurrence of MCI more effectively.MethodsThe Boruta algorithm was used to screen variables, and eight machine learning models were established and evaluated. The best performing models were used to assess variable importance and build an online risk calculator. Shapley additive explanation is used to explain the model.ResultsA total of 199 patients were included in the study, 99 of whom were male. Transient ischemic attack (TIA), homocysteine, education, hematocrit (HCT), diabetes, hemoglobin, red blood cells (RBC), hypertension, prothrombin time (PT) were selected by Boruta algorithm. Logistic regression (AUC = 0.8595) was the best model for predicting MCI in high-risk groups of stroke, followed by elastic network (ENET) (AUC = 0.8312), multilayer perceptron (MLP) (AUC = 0.7908), extreme gradient boosting (XGBoost) (AUC = 0.7691), and support vector machine (SVM) (AUC = 0.7527), random forest (RF) (AUC = 0.7451), K-nearest neighbors (KNN) (AUC = 0.7380), decision tree (DT) (AUC = 0.6972). The importance of variables suggests that TIA, diabetes, education, and hypertension are the top four variables of importance.ConclusionTransient ischemic attack (TIA), diabetes, education, and hypertension are the most important risk factors for MCI in high-risk groups of stroke, and early intervention should be performed to reduce the occurrence of MCI.
Comprehensive transcript-level analysis reveals transcriptional reprogramming during the progression of Alzheimer’s disease
Authors: Wu Hao , Wang Jiao , Hu Xiaoyuan , Zhuang Cheng , Zhou Jianxin , Wu Peiru , Li Shengli , Zhao Robert Chunhua 
Published: June 2023

BackgroundAlzheimer’s disease (AD) is a common neurodegenerative disorder that has a multi-step disease progression. Differences between moderate and advanced stages of AD have not yet been fully characterized.Materials and methodsHerein, we performed a transcript-resolution analysis in 454 AD-related samples, including 145 non-demented control, 140 asymptomatic AD (AsymAD), and 169 AD samples. We comparatively characterized the transcriptome dysregulation in AsymAD and AD samples at transcript level.ResultsWe identified 4,056 and 1,200 differentially spliced alternative splicing events (ASEs) that might play roles in the disease progression of AsymAD and AD, respectively. Our further analysis revealed 287 and 222 isoform switching events in AsymAD and AD, respectively. In particular, a total of 163 and 119 transcripts showed increased usage, while 124 and 103 transcripts exhibited decreased usage in AsymAD and AD, respectively. For example, gene APOA2 showed no expression changes between AD and non-demented control samples, but expressed higher proportion of transcript ENST00000367990.3 and lower proportion of transcript ENST00000463812.1 in AD compared to non-demented control samples. Furthermore, we constructed RNA binding protein (RBP)-ASE regulatory networks to reveal potential RBP-mediated isoform switch in AsymAD and AD.ConclusionIn summary, our study provided transcript-resolution insights into the transcriptome disturbance of AsymAD and AD, which will promote the discovery of early diagnosis biomarkers and the development of new therapeutic strategies for patients with AD.
Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing
Authors: Sihn Duho , Kwon Oh-Sang , Kim Sung-Phil 
Published: June 2023

IntroductionEfficient coding that minimizes informational redundancy of neural representations is a widely accepted neural coding principle. Despite the benefit, maximizing efficiency in neural coding can make neural representation vulnerable to random noise. One way to achieve robustness against random noise is smoothening neural responses. However, it is not clear whether the smoothness of neural responses can hold robust neural representations when dynamic stimuli are processed through a hierarchical brain structure, in which not only random noise but also systematic error due to temporal lag can be induced.MethodsIn the present study, we showed that smoothness via spatio-temporally efficient coding can achieve both efficiency and robustness by effectively dealing with noise and neural delay in the visual hierarchy when processing dynamic visual stimuli.ResultsThe simulation results demonstrated that a hierarchical neural network whose bidirectional synaptic connections were learned through spatio-temporally efficient coding with natural scenes could elicit neural responses to visual moving bars similar to those to static bars with the identical position and orientation, indicating robust neural responses against erroneous neural information. It implies that spatio-temporally efficient coding preserves the structure of visual environments locally in the neural responses of hierarchical structures.DiscussionThe present results suggest the importance of a balance between efficiency and robustness in neural coding for visual processing of dynamic stimuli across hierarchical brain structures.