bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptome analysis of right ventricular outflow tract myocardium in repaired-TOF patients with pulmonary regurgitation revealed the genetic features of right ventricle dysfunction
Authors: Fan Qiang , Li Jiuhong , Ling Yunfei , An Qi 
Published: June 2023

Abstract
Background: Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect. Surgical repair can prolong the survival time of TOF patients, but the right ventricle (RV) function of repaired-TOF (rTOF) patients will gradually deteriorate. Although pulmonary valve replacement (PVR) can delay the progression of RV dysfunction, it cannot avoid the ultimate RV failure. The purpose of this study was to define the genetic features of RV dysfunction in rTOF patients and to identify new potential biological targets for the treatment of RV dysfunction.
Method: Comparative transcriptome analysis of RV outflow track (RVOT) myocardium specimens collected from rTOF patients was conducted. These patients were divided into two groups according to the period between initial surgical TOF repair and first PVR. The period less than 15 years was deemed as early PVR (PVRe), otherwise deemed as late PVR (PVRl). Total RNA isolated from each sample was use for functional enrichment/network analyses for differentially expressed genes (DGEs).
Result: Six RVOT specimens (3 in PVRe and 3 in PVRl) showed significant differential expression of a total of 30 genes among which 15 genes were up-regulated and the other 15 genes were down-regulated in the comparison between PVRe and PVRl. According to Gene Ontology (GO) annotation, the mostly enriched biological processes was represented by monovalent inorganic cation transport. Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated the significantly enriched signaling pathway was calcium signaling pathway. Both GO and KEGG highlighted the specific enrichment of inorganic cation transport gene in rTOF sample.
Conclusion: This study presents the first global comparative transcriptome profiling of RV dysfunction in rTOF patients using RNA-seq and reveals the differernt gene expression pattern in rTOF patients. These findings have potential translational value because they identify new candidate prognostic markers and targets for the treatment of RV dysfunction in rTOF patients.
Efficient purification of methylene blue dye wastewater by integrated photocatalysis and photothermal evaporation
Authors: Li Qiang , Guo Yuqian , An Xianhui , Qian Xueren 
Published: June 2023

Abstract
Herein, a novel NH2–MIL–53(Fe)/polypyrrole@cellulose fiber (NMF/PPy@CelF) composite was prepared based on cellulose fiber (CelF) by a double in-situ growth method, consisting of polypyrrole (PPy) and NH2–MIL–53(Fe) (NMF). The interfacial photocatalysis and photothermal properties of the obtained composite was systematically evaluated by treating 20 ml·L− 1 methylene blue (MB) sulotion under 1 kW·m− 2 illumination. The NMF/PPy@CelF composite showed good photocatalytic activity with a degradation rate of 76.90% of MB within 180 min. Moreover, the photothermal conversion efficiency of NMF/PPy@CelF reached 92.16%. The PPy layer not only improved the visible light absorption range and interfacial temperature of the composite, but also facilitated the separation of photoelectrons and holes, endowing the NMF/PPy@CelF composite with good photothermal and photocatalytic properties. Furthermore, superior stability of the NMF/PPy@CelF composite was observed in repeated cycles. In addition, the photocatalytic mechanism was proposed. This work combines the photothermal effect with solar-driven photocatalysis, simultaneously achieving complete degradation of dyes and the recovery of clean water from dye wastewater.
Developing a Cryptocurrency Susceptibility Test: Mathematical Modeling and Benchmarking
Authors: Bakr Ayman 
Published: June 2023

Abstract
The increasing prominence of cryptocurrencies has brought to the forefront the critical issue of security vulnerabilities, particularly the majority 51% attack. This study addresses the need for benchmarks to distinguish between vulnerable and non-vulnerable cryptocurrencies. A comprehensive literature review reveals a lack of research with the desired statistical rigor in this domain, necessitating the development of a robust model. Drawing upon mathematical modeling, this research fills the gap by proposing a susceptibility test model which incorporates essential parameters identified from literature. The model is validated with additional data to ensure its accuracy and reliability. Furthermore, k-means clustering analysis is employed to determine benchmarking thresholds, allowing for a refined categorization of cryptocurrencies based on their susceptibility levels. The findings of this study reveal five distinct clusters, each representing a unique security profile. Resilience is associated with susceptibility test values less than the critical threshold \(0.532\). In contrast, cryptocurrencies with susceptibility test values greater than 1.557 exhibit alarming vulnerability. In between, three cryptocurrency susceptibility levels are identified, ranging from moderate resilience to high vulnerability. The outcomes of this study serve as a foundation for better-informed investment decisions as well as future research endeavors, informing the development of industry best practices and policy recommendations aimed at strengthening the robustness of cryptocurrencies against malicious activities.
Evaluation of alarm fatigue among intensive care unit nurses during the COVID-19 pandemic: An exploratory study
Authors: Ajri-Khameslou Mehdi , Abadi Pouya Dolat , Ghasemzadeh Islam , Mirzaei Alireza , Nemati-Vakilabad Reza 
Published: June 2023

Abstract
Introduction
Alarm fatigue is a state of nurses’ desensitization to the sounds of equipment in the Intensive Care Unit (ICU), which can affect the quality of nursing care over time. The present study explored alarm fatigue among intensive care unit nurses during the Coronavirus-2019 (COVID-19) outbreak.
Method
This exploratory study was conducted on 218 intensive care unit nurses in Ardabil city (northwest of Iran). The participants were selected by convenience sampling method. Data were collected using a demographic information form, nurses’ alarm fatigue questionnaire, and characteristics of the alarms checklist. SPSS (Version 22) software was used for data analysis.
Results
The mean alarm fatigue score of intensive care unit nurses during the COVID-19 outbreak was at a moderate level (22.89 ± 7.69). Multiple linear regression showed that work experience (B = 0.223, p = 0.032), workplace (B = -0.238, p < 0.001), ward dimensions (B = -0.259, p < 0.001), response time (B = -0.522, p < 0.001), and management of alarms (B = 0.119, p < 0.022) were significant predictors of alarm fatigue, which accounted for 51% of the variance of the final model.
Conclusion
Considering the predictive role of some background variables and the characteristics of the alarms caused by the equipment connected to the intensive care unit patients, it is better to adopt strategies to modernize the intensive care unit equipment and increase the practical courses on working with the equipment to properly manage the alarms and reduce the response time to alarms.
Identification of a Cancer Testis Antigen-Associated Six-Gene Signature in Lung Adenocarcinoma for the Prediction of Survival and Response to Immune-Checkpoint Inhibitors
Authors: Huang Shuyu , Zhao Qiurong , Chen Jiahao , Chen Liqing , Huang Rong , Kang Yanli , You Jianbin , Chen Jinhua , Chen Liangyuan 
Published: June 2023

Abstract
Background
Lung cancer is a leading cause of cancer-related deaths, with lung adenocarcinoma (LUAD) being one of the major types of lung cancer. A limited number of studies have revealed that cancer testis antigens (CTAs) could serve as prognostic indicators for LUAD patients.
Methods
In this bioinformatics study, we constructed a novel CTA-related gene signature that predicted survival and responses to immune-checkpoint inhibitors (ICIs) in patients with LUAD, and exploited univariate and Lasso-Cox regression analyses to evaluate the mechanisms underlying the signature’s prognostic capability. Immune cell infiltration, tumor mutation burden (TMB), and immunophenoscores (IPSs) related to the prognostic signature in LUAD with different risk scores were thoroughly explored.
Results
Our prognostic signature was based upon six CTAs, and multivariate analysis showed that the six-CTA signature was an independent prognostic factor in overall survival for patients with LUAD. Memory resting CD4 T cells, monocytes, dendritic resting cells, and resting mast cells were elevated in the six-CTA signature high-risk group, and M0 macrophages and activated mast cells were reduced relative to the low-risk group. The six-CTA signature low-risk group possessed a higher IPS, and was more sensitive to an immune-checkpoint inhibitor (ICI)—representing a more immunogenic phenotype.
Conclusion
In summary, we herein established a six-CTA prognostic signature for predicting survival in patients with LUAD and their potential responses to immunotherapy.
Synthesis of TBAc in a bi-functional “M-S-Si” platform: the impact of metal cation on catalytic performance
Authors: Hu Jingqiu , Tang Jihai , Zhang Zhuxiu 
Published: June 2023

Abstract
Catalytic production of tert-butyl acetate directly from acetic acid and isobutylene in an efficient manner is of great importance from the standpoint of green chemical processes. Herein, the catalysts of Fe, Al, Ti, Ce-incorporated SO3H-SBA-15 (M-S-Si) were prepared by a co-condensation method and evaluated in the addition reaction of isobutylene with acetic acid. The properties of the resulting M-S-Si catalysts were characterized by X-ray diffraction, N2 adsorption-desorption, NH3 temperature-programmed desorption measurements, Fourier-transform infrared spectroscopy (FT-IR) and Pyridine FT-IR. The M-S-Si catalysts exhibited well-ordered mesoporous structures and different acidic properties. The incorporation of Fe introduced more Brönsted acid sites, while the presence of Al and Ce resulted in more Lewis acid sites. The conversion of acetic acid was related to the concentrate of Brönsted acid sites but selectivity was influenced by Lewis acid sites. The Al-S-Si and Ce-S-Si catalysts with more Lewis acid sites show better tert-butyl acetate selectivity at the higher temperature.
Revealing the Genetic Structure in Endangered Species of Huangxin (Catalpa) by RAD Genotyping
Authors: Ge Wanting , Liu Ying , Wang Junhui , Li Jie , Wang Fuyu , Zhang Shen , Zhang Minggang , Wang Lei , Yang Guijuan , Ma Wenjun 
Published: June 2023

Abstract
Huangxin is a type of Catalpa fargesii Bur. f. duclouxii (Dode) Gilmour, a small distribution species that have been over-exploited and damaged because of its excellent wood properties. Based on RAD-seq technique to evaluate the phylogeny, genetic diversity, genetic structure, gene flow, and extension routes of 169 individuals of Huangxin, and we used 24 samples of C. duclouxii and 5 Catalpa ovata G.Don samples as outgroups. In this study, we have explored the relationship between Huangxin with C. duclouxii and C. ovata, which proved that Huangxin is a separate species. Results of SNP analysis showed that the overall genetic diversity of Huangxin was moderate (mean HE=0.2935, HO=0.4401), and within the Huangxin subgroups, Subgroup 5 (HE=0.3011, HO=0.4495) had high genetic diversity. The FST value (mean = 0.1983) proves that a high level of genetic differentiation between subgroups. Furthermore, we found that the Huangxin population was strongly influenced by human activities. Therefore, strategies for in-situ and ex-situ protection of Huangxin are proposed, and these strategies are of great value for the conservation, preservation, and genetic improvement of this species. Meanwhile, it also provides a valuable reference for the conservation of other similar species with small ranges.
Generalization Error Bound for an SGD Family via a Gaussian Approximation Method
Authors: Chen Hao , Mo Zhanfeng , Yang Zhouwang 
Published: June 2023

Abstract
Recent works have developed model complexity based and algorithm based generalization error bounds to explain how Stochastic Gradient Descent (SGD) methods help over-parameterized models generalize better. However, previous works are limited by their scope of analysis and fail to provide comprehensive explanations. In this paper, we propose a novel Gaussian approximation framework to establish generalization error bounds for the $\mathcal{U}$-SGD family, which is a class of SGDs with asymptotically unbiased and uniformly bounded gradient noise. We study $\mathcal{U}$-SGD dynamics, and we show both theoretically and numerically that the limiting model parameter distribution tends to be Gaussian, even when the origin gradient noise is non-Gaussian. For a $\mathcal{U}$-SGD family, we establish a desirable iteration number independent generalization error bound at the order of $\mathcal{O}((1+\sqrt{\log (p\sqrt{n})}) / \sqrt{n})$, where $n$ and $p$ stand for the sample size and parameter dimension. Based on our analysis, we propose two general types of methods to help models generalize better, termed as the additive and multiplicative noise insertions. We show that these methods significantly reduce the dominant term of the generalization error bound.
The Pathway to Academic Performance: The Role of Motivation, Competence and Socio-familial Risk Factors in Lebanese Medical Students
Authors: Chatila Rajaa , Sr Jordan , Dimassi Hani , Faour Wissam , Khoury Jamil El , Bahous Sola , Choukair Mary , Nasser Ali , Nabi Sarah Abdul , Sanchez-Ruiz Maria-Jose 
Published: June 2023

Abstract
While cognitive abilities are known to have a certain degree of predictive value for academic performance, it is now well-established that motivation and emotion-related variables, along with environmental variables such as socio-economic status and family support, also significantly contribute to the academic success of university students. However, the specific mechanisms through which the environment influences these non-cognitive variables in predicting academic performance, particularly within the context of non-individualistic cultures, remain underexplored. In this study we examined the influence of family support, trait Emotional Intelligence (trait EI), and academic self-efficacy (ASE) on Academic Performance (AP). Additionally, we studied competence and motivation as potential mediators in the relationship between trait EI and academic self-efficacy (ASE). The study utilized structural equation models applied to two sub-samples drawn from a group of medical students. The first sub-sample, labeled the “low risk” group, consisted of students who reported minimal difficulty in paying bills and had highly educated parents. The second sub-sample, labeled the “high risk” group, included students who reported difficulty in paying bills and had less educated parents. The findings revealed that intrinsic motivation plays a more prominent role than extrinsic motivation as a mediator between trait EI, predicted by family support, and ASE, which in turn predicted AP. Among the low-risk students, both competence and intrinsic motivation fully mediated this relationship, whereas among the high-risk students, only competence acted as a mediator. These findings have significant implications for medical educational settings and are thoroughly discussed in this study.
On disturbed Fibonacci sequences
Authors: Paokanta Siriluk , Kim Hee Sik , Park Choonkil , Donganont Mana 
Published: June 2023

Abstract
In this paper, we introduce the notion of a disturbed Fibonacci sequence and obtain several properties related to Fibonacci sequences and apply the notion to Fibonacci rabbit farm to adjust the numbers of Fibonacci rabbits.
AMS Subject Classification: Primary; 11B39, 39A05; secondary 39A22
Oridonin alleviates lipopolysaccharide-induced acute lung injury in mice through inhibiting apoptosis, oxidative stress, and inflammation by modulating VIP/cAMP/PKA/AQPs signaling pathway
Authors: Liu Qinghua , Shang Wenli , Zhang Junli , Chen Ran , Wei Li , Wang HaiDong , Zhang Min , Yue Maokui 
Published: June 2023

Abstract
Oridonin (ORI) are a traditional Chinese herbal medicine extracted from Isodon rubescens (Hemsl.) H.Ha. There are few studies on the protective effect of ORI ameliorates acute lung injury (ALI) in mice. This result showed that compared with the ALI group, ORI significantly reduced the total protein content, Wet-to-dry (W/D) ratio, the number of neutrophils, lymphocytes, and monocytes. Moreover, ORI was able to reduce cell apoptosis, the levels of Macrophage inflammatory protein-2 (MIP-2), Intercellular adhesion molecule-1 (ICAM-1), Tumor necrosis factor-α (TNF-α), Malondialdehyde (MDA) and Myeloperoxidase (MPO) and increase the level of Superoxide (SOD). In addition, ORI could up-regulate the levels of VIP, cAMP, p-PKA/PKA and AQP1. In conclusion, our findings indicate that ORI can modulate the inflammatory injury of lung tissue caused by LPS through the VIP/cAMP/PKA/AQPs signaling pathway, suggesting that ORI can be a candidate for the therapeutic or preventive intervention in acute lung inflammation.
Role Toll-like receptor 4 gene underlying Hypoxia-inducible transcription factor 1α gene expression in cervical cancer of women
Authors: Nama Mustafa Adnan , Kraidi Qayssar Ali 
Published: June 2023

Abstract
Molecular methods are being used in cervical cancer screening to identify high-risk human papillomavirus. Annually, 490,000 new infections are diagnosed with papillomavirus, and about 298,000 death cases due to cervical cancer worldwide. Pap and biopsy samples from 65 samples from cervixes were collected from women with histological changes from Alsider Teaching Hospital, Maysan Hospital for Children, South of Iraq. The viruses were detected by RT-PCR in 69.2 % of the all cases. Extracted RNA samples were used to analyze the gene expression of Toll-like receptor 4 and hypoxia-inducible transcription factor 1α from biopsy samples. It was found that the number of positive samples for viruse genotype 16 was in 30 samples, which represents 66.6 %, while the genotype 18 was detected in 17 samples, which represents 37.7%, while 9 samples gave positive results for genotype 31 and represented about 20 %, relying on E6 or E7 specific primers in cDNA template by real-time PCR ,and the values of Toll-like receptor 4 in negative samples were normalized to the housekeeping gene (β actin) to 1 and its values in positive samples were compared to that 1 which was more roughly in 1-fold, and the hypoxia-inducible transcription factor 1α gene expression in positive samples was more in roughly 48-fold compared to its value in the housekeeping gene (β actin) to 1 (negative control). The study concluded that toll-like receptor 4 and hypoxia-inducible transcription factor 1α are overexpressed in cervical cancer, and both synergistically promote the development of cervical cancer.
Changing trends in the clinical profile of childhood in tuberculosis patients -at a tertiary centre
Authors: Yeredla Vishnu Vardhan Reddy , Tammali Saritha , Ravula Chaitanya Jyothi , Kalivela Santhimayee 
Published: June 2023

The aim: To study the clinical profile of childhood tuberculosis in the age group of 6 months to 12 years.
Materials and methods: This сross-sectional study was conducted on patients of tuberculosis who were admitted for treatment. A total of 75 patients were enrolled in the study who are of age group: 6 months to 12 years and Stengen score>3.
Results: Approximately 50 % of the study population was under 5 years. 39 % belonged to the age group of 8–12 years. The male-to-female ratio was 1:1.02. 36 % of the study population belonged to the lower class. 33.33 % of the study population belonged to the middle class. One-quarter of the patients were not malnourished. Among the ones who were malnourished, 36 % belonged to Grade I, and 53.33 % had a Stengen score of 5–6. 46.66 % had a Stengen score of 46.66 %. Acid Fast Bacilli in 1.33 %, 18.66 % had tubercle present, 82.66 % had Mantoux positive, which was >10mm, and 62.66 % of them had suggestive radiology of tuberculosis, where the fever was present in 90 % of the study population. Fever with <2 weeks duration was present in 52 %, and the rest had a fever for more than two weeks. Cough was present in 77 % of the study population. Weight loss was present in 37.33 %. 22.66 % had pulmonary tuberculosis, and 77.33 % had extrapulmonary tuberculosis. Among extrapulmonary tuberculosis, lymphadenopathy was the common manifestation. It was present among 40 % of the study population. It includes cervical lymphadenopathy among 24 %, axillary lymph node involvement among 12 %, Sub mandibular lymph node among 2.66 % and supra clavicular in 1.33 %. The other manifestations of extrapulmonary tuberculosis include pleural effusion, the second most common one present among 29.33 % of the study population.
Conclusion: There is an urgent need for a systematic approach to determining the prevalence and incidence of M. tuberculosis infection among children. This has to become the cornerstone of TB control and of assessing the change in the trend of infection over time in the community until it reaches the required goal
Writing While Black: The Power of Words and Student’s Self-Empowerment
Authors: Wright Fields Christina A , Power-Carter Stephanie 
Published: June 2023

Using the writings of a group of eleventh-grade African-American youths in a pre-college program, we illustrate what happens when youth are afforded opportunities to declare “their truth.” Facilitating such opportunities creates safe spaces to better hear often silenced and marginalized voices and provides chances to affirm and legitimize their experiences.
Imágenes digitales obtenidas por dron para estimar el rendimiento de la biomasa en un sitio de pastizal del estado de Durango
Authors: Esquivel Romo Amaury , Gutierrez Guzmán Ulises Noel , Moreno Reséndez Alejandro , Veliz Deras Francisco Gerardo , Arellano Rodríguez Fernando , Bustamante Andrade Jorge Arturo , Rios Vega María Esther , González Mancilla Apolinar 
Published: June 2023

La adquisición de imágenes de alta resolución mediante drones y su posterior procesamiento proporcionan información valiosa sobre variables biofísicas de vegetación de pastizales. El objetivo de este estudio fue generar un modelo de predicción de la dinámica de la productividad anual de un pastizal semiárido del norte de México mediante la cobertura vegetal estimada en fotografías digitales obtenidas por dron. Se diseño un sistema de muestreo permanente en el predio ganadero La Cieneguilla. Las variables de estudio medidas fueron la producción de biomasa de corte directo como variable dependiente y la cobertura vegetal estimada en imágenes digitales adquiridas por dron como variable independiente. El número de muestras recogidas de ambas variables fue de 640 durante el año 2020. Con el 50% de los datos se generó el modelo de predicción y con el otro 50% de los datos el modelo de validación, los modelos de regresión ajustados fueron de la forma Y = β0 + β1X + β2X2 con R2 ajustado = 71.64% y 69.90% respectivamente. Esta metodología propuesta ofrece un medio no destructivo y preciso para el monitoreo y evaluación anual de pastizales en áreas secas.