bluuebunny/crossref_metadata_2025_split huggingface dataset:
ROR1-AS1can promotes proliferation and invasion of cholangiocarcinoma cells in vivo and vitro
Authors: Li Xueliang , Sun Zhaowei , Wang Qinlei , Zou Hao , Wang Maobing , Cao Guanghua , Yu Yanan , Zhang Bingyuan , Dai Dongdong , Feng Yujie 
Published: July 2023

Abstract
Long non-coding RNAs (lncRNAs) play important roles in many pathophysiological processes, including cancer progression. Namely, lncRNA Receptor-tyrosine-kinase-like orphan receptor-1 antisense 1 (ROR1-AS1) is crucial for cancer occurrence and progression in organs such as the liver or bladder. However, its expression and role in cholangiocarcinoma (CCA) have not been thoroughly explored. Firstly, we assessed cell viability, proliferation, invasion, and migration using three cell lines (HuCCT-1, QBC399, and RBE) to explore the biological characteristics of ROR1-AS1 in CCA. Secondly, to determine the in vivo effect of ROR1-AS1 on tumor growth, ROR1-AS1 knockdown (KD) HuCCT-1 cells were subcutaneously injected into nude mice to evaluate tumor growth. Finally, we conducted a bioinformatic analysis to confirm the role of ROR1-AS1 in the prognosis and immunity of CCA. In this study, we found that lncRNA ROR1-AS1 was increased in CCA samples and patients with higher ROR1-AS1 expression had a shorter overall survival period. siRNA-mediated KD of ROR1-AS1 significantly reduced cell proliferation and inhibited the migration of CCA cells. In addition, ROR1-AS1 KD HuCCT-1 cells injected into nude mice grew slower than normal CCA cells. In summary, our results show that ROR1-AS1 can promote CCA progression and might serve as a new target for diagnosis and treatment of CCA.
The influence of climatic and environmental variables on sunflower planting season suitability in Tanzania.
Authors: Beteri John Maige , Lyimo James Godfrey , Msinde John Victor 
Published: July 2023

Abstract
Crop survival and growth requires identification of correlations between appropriate suitable planting season and relevant climatic and environmental characteristics. Climatic and environmental conditions may cause water and heat stress at critical stages of crop development and thus affecting planting suitability. Consequently, this may affect crop yield and productivity. This study assesses the influence of climate and environmental variables on rain-fed sunflower planting season suitability in Tanzania. Data on rainfall, temperature, slope, elevation, soil and land use/or cover were accessed from publicly available sources using Google Earth Engine. This is a cloud-based geospatial computing platform for remote sensed datasets. Tanzanian sunflower production calendar of 2022 was adopted to mark the start and end of planting across country. The default climate and environmental parameters from FAO database were used. In addition, Pearson correlation was used to evaluate the relationship between rainfall, temperature over Normalized Difference Vegetation Index (NDVI) from 2000 to 2020 at five-years interval for January-April and June-September, for high and poor suitability season. The results showed that planting suitability of sunflower in Tanzania is driven more by rainfall than temperature. It was revealed that intra-annual planting suitability increases gradually from short to long- rain season and diminishes towards dry season of the year. January-April planting season window showing highest suitability (41.65%), whereas June-September indicating lowest suitability (0.05%). Though, not statistically significant, rainfall and NDVI were positively correlated with r = 0.65 and 0.75 whereas negative correlation existed between temperature and NDVI with r = -0.6 and − 0.77. We recommend sunflower subsector interventions that consider appropriate intra-regional and seasonal diversity as an important adaptive mechanism to ensure high sunflower yields.
Essential Genes Identification Model Based on Sequence Feature Map and Graph Convolutional Neural Network
Authors: Hu Wenxing , Xiao Haiyang , Guan Lixin , Li Mengshan 
Published: July 2023

Abstract
Background
Essential genes encode functions that play a vital role in the life activities of organisms, encompassing growth, development, immune system functioning, and cell structure maintenance. Conventional experimental techniques for identifying essential genes are resource-intensive and time-consuming, and the accuracy of current machine learning models needs further enhancement. Therefore, it is crucial to develop a robust computational model to accurately predict essential genes.
Results
In this study, we introduce GCNN-SFM, a computational model for identifying essential genes in organisms, based on graph convolutional neural networks (GCNN). GCNN-SFM integrates a graph convolutional layer, a convolutional layer, and a fully connected layer to model and extract features from gene sequences of essential genes. Initially, the gene sequence is transformed into a feature map using coding techniques. Subsequently, a multi-layer GCN is employed to perform graph convolution operations, effectively capturing both local and global features of the gene sequence. Further feature extraction is performed, followed by integrating convolution and fully-connected layers to generate prediction results for essential genes. The gradient descent algorithm is utilized to iteratively update the cross-entropy loss function, thereby enhancing the accuracy of the prediction results. Meanwhile, model parameters are tuned to determine the optimal parameter combination that yields the best prediction performance during training.
Conclusions
Experimental evaluation demonstrates that GCNN-SFM surpasses various advanced essential gene prediction models and achieves an average accuracy of 94.53%. This study presents a novel and effective approach for identifying essential genes, which has significant implications for biology and genomics research.
Association between arterial stiffness and autonomic dysfunction in participants underwent treadmill exercise testing: a cross-sectional analysis
Authors: Park Sungjoon , Kim Hack-Lyoung , Park Kyung-Taek , Joh Hyun Sung , Lim Woo-Hyun , Seo Jae-Bin , Kim Sang-Hyun , Kim Myung-A 
Published: July 2023

Abstract
Background
Data on the impact of arterial stiffness on autonomic function are limited. We sought to investigate whether heart rate recovery (HRR), a predictor of autonomic function, is impaired in patients with increased arterial stiffness.
Methods
A total of 475 participants (mean age 55.8 ± 11.1 years, 34.3% women) who underwent treadmill exercise test (TET) for the evaluation of chest pain were retrospectively analyzed. All patients underwent brachial-ankle pulse wave velocity (baPWV) measurement on the same day. HRR was defined as the difference in heart rate from maximal exercise to one minute of recovery.
Results
participants with the lowest HRR (first tertile) were older and had more cardiovascular risk factors than those with the highest HRR (third tertile). Simple correlation analysis showed that baPWV was negatively correlated with HRR (r = -0.327, P < 0.001). In multiple linear regression analysis, there was a significant association between baPWV and HRR even after adjusting for potential confounders (β = -0.181, P < 0.001).
Conclusions
In participants who underwent TET, baPWV was negatively correlated with HRR. Our results suggest that increased arterial stiffness may play an important role in aggravating autonomic function.
Efficacy of Photobiomodulation in the treatment of oral mucositis in patients undergoing antineoplastic therapy: Systematic Review and Meta-analysis
Authors: Cruz Adriana Regina , Minicucci Eliana Maria , Betini Marluci , Almeida-Lopes Luciana , Neto Victor Tieghi , Cataneo Antônio José Maria 
Published: July 2023

Abstract
Purpose: To evaluate the effectiveness of photobiomodulation in the treatment of oral mucositis.
Methods: Systematic review and meta-analysis encompassing in the electronic databases: LILACS, MEDLINE, EMBASE, COCHRANE, SCOPUS, WEB OF SCIENCE and CINAHL and in CLINICALTRIALS.gov. Eligibility criteria were: randomized, non-randomized and observational studies that used photobiomodulation for the treatment of oral mucositis. The endpoints were reduction in the severity of oral mucositis, duration of lesions, and pain reduction. For data analysis, the Review Manager 5.4 program was used.
Results: 316 studies were identified, 297 in the electronic databases and 19 in Clinicaltrials.gov. After removing duplicates, 260 studies were selected for title and abstract reading, of which 223 were excluded. A total of 37 studies were chosen for full reading, of which 6 were included in the review, totaling 299 patients. The treatment used was photobiomodulation. The patients were divided into two groups: the laser group used photobiomodulation alone or associated with other therapies, and the control group did not use photobiomodulation. For the endpoint reduction in the severity of oral mucositis (OM), the chance of reduction of the OM was greater in the laser group as compared to the control group. For the endpoints duration of OM lesions and pain reduction, it was not possible to carry out a meta-analysis due to the high heterogeneity between studies. In the interpretation of the meta-analysis, the reduction in the severity of oral mucositis was greater in the group that received photobiomodulation.
Conclusion: Photobiomodulation was effective in the treatment of oral mucositis.
The effects of countersink depth on fatigue performance of CFRP joint
Authors: Qi Zhenchao , Liang Guangyue , Dai Yizhi , Qiu Jianping , Hao Haojie 
Published: July 2023

Abstract
Countersink bolts are extensively utilized in aircraft connection structures due to their excellent connectivity performance. However, the countersink depth error that occurs during the manufacturing process of CFRP components is challenging to rectify. Consequently, it is imperative to investigate the impact of countersink depth error on the connection performance of the structure. This study conducted fatigue experiments on the CFRP single-lap joints with different countersink sizes, the failure of the countersink bolts and the structural components were observed. A mechanical model of the contact between the bolt cone surface and the hole wall was established to explain the failure behavior of bolts under different countersink depths. The results indicate that the fatigue life and structural stiffness of CFRP components increase with an increase in the depth error of the countersink hole. When the bolt head is recessed into the connecting plate, the stiffness of the specimen increases by approximately 19% compared to the scenario where the bolt head protrudes from the connecting plate. At the same time, it is more prone to bolt failure when the bolt head protrudes from the connecting plate. As the depth of the countersink hole increases, the extrusion stress gradually decreases, and when the bolt head makes full contact with the hole wall, the extrusion stress reduces to 421.03MPa. As the depth of the countersunk hole increases, the bending moment at the conical surface of the bolt head exhibits a trend of initially increasing and then decreasing, reaching its peak when the bolt head is flush with the upper surface of the connecting plate.
An extranodal Richter's Syndrome presenting with cardiac diffuse large B-cell lymphoma: a case report
Authors: Wang Hua , Yan Wei-hong , Sun Jun-jie , Dong Mei , Zhang Nan , Liu Tong , Song Nian-peng , Zhong Lin 
Published: July 2023

Abstract
Background: Richter’s syndrome (RS) defines the transformation of chronic lymphocytic leukemia into high-grade lymphoma, which usually involves nodal and bone marrow. Extranodal involvement of the heart is an extremely rare condition. Patients with heart involvement tended to have a low response to chemotherapy and relative poor prognosis. The transformation process of RS is often insidious and nonspecific making it challenging to diagnose.
Case presentation: A 64-year-old woman wih a history of chronic lymphocytic leukemia (CLL) presented with intermittent chest pain and was diagnosed with non-ST-elevation myocardial infarction (NSTEMI). However, the contrast enhanced echocardiography revealed a large irregular mass, measuring about 75.4 mm×37.5 mm, located on the lateral and posterior wall of the right ventricle. Biopsy of the cardiac mass and the results revealed diffuse large B-cell lymphoma.
Conclusions: We present a case of a 64-year-old woman with aggressive diffuse large B-cell lymphoma involving the heart. This case could provide some insights in the diagnosis of cardiac lymphoma.
Automated choroidal layer segmentation from en face swept-source optical coherence tomography images of normal eyes using machine learning
Authors: lim JiYoung , Yoon JeMoon , Lee Jee-Hyong , Noh Hoon , Nam Seung Wan , Ham Don-ll 
Published: July 2023

Abstract
The study aims to use machine learning in healthy eyes to develop an automated method to segment the choroidal layers of en-face swept-source optical coherence tomography (SS-OCT) images. We included 117 eyes of 117 healthy subjects who underwent an SS-OCT volume scan with a 12 x 9 mm range. SS-OCT en face images of the choroid were obtained every 2.6 µm from Bruch’s membrane (BM) to the chorioscleral border. The images at the start of the choriocapillaris, the onset of Sattler’s layer, and the beginning of Haller’s layer were identified, and the image numbers from the BM line were taken as the teacher data. Through the Boundary-Enhancing undersampling and sub-class ensemble learning, we obtained a balanced accuracy of 85.54% with an error range of 0 and 92.82% with an error range of 2. Automated stratification of the choroid in en- face SS-OCT images, including choroidal vessels outside the macula, can be done accurately through machine learning.
Three-dimensional assessment of the nasopharyngeal airway in Down syndrome during the mixed dentition period: a case-control study
Authors: Takizawa Hideomi , Takahashi Masahiro , Yoshida Hiroshi , Yamaguchi Tetsutaro , Maki Koutaro 
Published: July 2023

AbstractDown syndrome (DS) is the most common chromosomal disorder caused by the genetic trait of trisomy 21. Children with DS have been reported to have a higher prevalence of obstructive sleep apnea (OSA). It is important to undertake nasopharyngeal airway assessment in children with DS during the growing stage to understand the factors causing OSA. However, no studies to date have included three-dimensional assessment of the nasopharyngeal airway in children with DS. The aim of the present study was to evaluate the nasopharyngeal airway volume of children with DS and compare the results with those of control subjects well-matched for sex and age. We enrolled 15 DS and 15 control subjects. The nasopharyngeal airway volume and the cross-sectional morphology were measured with cone-beam computed tomography taken for orthodontic treatment. Nasal airway and superior airway volumes of DS subjects were significantly smaller than those of the control subjects. Our results indicate that the nasopharyngeal airway volume differs between children with and without DS, and these differences could be a potential risk factor in the occurrence of OSA in children with DS during the growing stage.
Determine the optimal parameters for biogas production from common reed (Phragmites australis)
Authors: Al-Iraqi Ahmed Riyadh , Semple Kirk T. , Folkard Andrew M. , Barker Philip A. , Gandhi Bhushan P. 
Published: July 2023

Abstract
A series of batch assays have been conducted to investigate the optimal factors that can be adopted to improve the anaerobic digestion (AD) performance of Phragmites australis (P. australis) and increase biogas production. The assays were carried out using 125 ml microcosm reactors with a working volume of 80 ml and incubated at mesophilic conditions 37 C. The effect of particle size (10, 5, 2, and < 1 mm) and alkaline pre-treatment of P. australis using various concentrations of sodium hydroxide concentration (0.5, 1, 2, and 4%) on biogas production were examined. Furthermore, the best pre-treatment incubation time (12, 24, 48, 72, 96, and 120 hours) and the optimal inoculum to substrate ratio (ISR: 4:1, 2:1, 1:1, 1:2 and 1:4) were also assessed. The results revealed that the highest biogas production from P. australis was achieved at: particle size < 1 mm; 2% NaOH concentration for pre-treatment; 120 hours treatment incubation time; and ISR of 1:2.
Relationships between Anxiety, Attention, and Reading Comprehension in Children
Authors: Barnes Emily D. , Grills Amie E. , Vaughn Sharon R. 
Published: July 2023

Abstract
Many studies link anxiety in children with reading difficulties, but some facets of anxiety have been found to be positively associated with reading achievement. Attentional Control Theory offers a potential explanation for these seemingly contradictory findings, positing that anxiety can both interfere in attentional processes and enhance effort and use of compensatory processing strategies. The current study examines the relationships between anxiety, attentional control, and reading comprehension in a racially-diverse sample of 251 second-grade students, most of whom were struggling readers. Results showed that harm avoidance was positively associated with reading comprehension and physical symptoms of anxiety were negatively associated with reading comprehension. These links were attenuated when including attentional control in the model, suggesting mediation and lending support to Attentional Control Theory. Further research is needed to confirm causal mediation effects between anxiety, attentional control, and reading performance.
Quantifying innervation facilitated by deep learning in wound healing
Authors: Mehta Abijeet Singh , Teymoori Sam , Recendez Cynthia , Fregoso Daniel , Gallegos Anthony , Yang Hsin-Ya , Isseroff Roslyn , Zhao Min , Gomez Marcella , Aslankoohi Elham , Rolandi Marco 
Published: July 2023

AbstractThe peripheral nerves (PNs) innervate the dermis and epidermis, which have been suggested to play an important role in wound healing. Several methods to quantify skin innervation during wound healing have been reported. Those usually require multiple observers, are complex and labor-intensive, and noise/background associated with the Immunohistochemistry (IHC) images could cause quantification errors/user bias. In this study, we employed the state-of-the-art deep neural network, DnCNN, to perform pre-processing and effectively reduce the noise in the IHC images. Additionally, we utilized an automated image analysis tool, assisted by Matlab, to accurately determine the extent of skin innervation during various stages of wound healing. The 8mm wound is generated using a circular biopsy punch in the wild-type mouse. Skin samples were collected on days 3,7,10 and 15, and sections from paraffin-embedded tissues were stained against pan-neuronal marker- protein-gene-product 9.5 (PGP 9.5) antibody. On day 3 and day 7, negligible nerve fibers were present throughout the wound with few only on the lateral boundaries of the wound. On day 10, a slight increase in nerve fiber density appeared, which significantly increased on day 15. Importantly we found a positive correlation (R2 = 0.933) between nerve fiber density and re-epithelization, suggesting an association between re-innervation and re-epithelization. These results established a quantitative time course of re-innervation in wound healing, and the automated image analysis method offers a novel and useful tool to facilitate the quantification of innervation in the skin and other tissues.
Effect of Carbon Fiber Reinforcement Composite on the Formability of Multi-Layer Tube Utilizing Hydroforming Technology
Authors: Mohammadhosseinzadeh Majid , ghorbani-menghari hossein 
Published: July 2023

Abstract
Nowadays, due to importance of the lightweight materials in industries and reducing the consumed energy, obtaining a lightweight material with high strength and stiffness is required. A combination of fiber and metal materials can close us reach our goal. Fiber-metal composite tube structures can be one of these ultra-hybrid materials which have high strength and stiffness with flexible material properties like fiber tubes which provide a light structure with improved performance compared to singular tube parts. In this research, a combined tubular structure of AL-6063 and carbon fiber was used. The free bulge hydroforming, lateral 3-point bending test, and axial compression were numerically and experimentally conducted to evaluate the effect of the carbon fiber on the AL-6063 tube. Also, a bi-layer AL-6063 tube was used to compare the result between a bi-layer of metal tube and the fiber metal tube laminates (FMTLs). The results demonstrated that the bi-layer tube of carbon fiber-Al can show a considerable performance in a high pressure while it is not a proper structure where a radial load is applied.
Cultivating Community-Based Participatory Research (CBPR) to Respond to the COVID-19 Pandemic: An Illustrative Example of Partnership and Topic Prioritization in the Food Services Industry
Authors: Hoerger Michael , Kim Seowoo , Mossman Brenna , Alonzi Sarah , Xu Kenneth , Coward John C. , Whalen Kathleen , Nauman Elizabeth , Miller Jonice , Cerda Tracey De La , Peyser Tristen , Dunn Addison , Zapolin Dana , Rivera Dulcé , Murugesan Navya , Baker Courtney N. 
Published: July 2023

Abstract
Background
As an illustrative example of COVID-19 pandemic community-based participatory research (CBPR), we describe a community-academic partnership to prioritize future research most important to people experiencing high occupational exposure to COVID-19 – food service workers. Food service workers face key challenges surrounding 1) health and safety precautions, 2) stress and mental health, and 3) the long-term pandemic impact.
Method
Using CBPR methodologies, academic scientists and community stakeholders conducted a survey, three focus groups, and a rapid qualitative assessment to understand the three areas of concern and prioritize future research.
Results
The survey showed that employers mainly supported basic droplet protections (soap, hand sanitizer, gloves), rather than comprehensive airborne protections (high-quality masks, air quality monitoring, air cleaning). Workers faced challenging decisions surrounding isolation, quarantine, testing, masking, vaccines, and in-home transmission, described anxiety as a top mental health concern, and described long-term physical and financial concerns. Focus groups provided qualitative examples of concerns and narrowed topic prioritization. The rapid qualitative assessment identified key needs and opportunities for helping with a top priority, reducing in-home COVID-19 transmission.
Conclusions
The COVID-19 pandemic has forced food service workers to experience complex decisions about health and safety, stress and mental health concerns, and long-term health and financial difficulties. Stakeholders suggest the need for more research aimed at reducing in-home COVID-19 transmission as well as supporting long-term mental health, physical health, and financial concerns. This research provides an illustrative example of how to cultivate community-based partnerships to respond to immediate and critical issues affecting populations most burdened by public health crises.