bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterizing the Use of Exercise Testing in Repaired Tetralogy of Fallot Patients: A Multi-Institutional Survey
Authors: Drastal Meghan S. , Layton Aimee M. , Fremed Michael A. 
Published: July 2023

Abstract
Long-term survival for repaired Tetralogy of Fallot (rTOF) is excellent. We achieve this by close clinical monitoring to stratify prognosis and guide clinical decision-making. Cardiopulmonary exercise stress testing (CPET) is used to help guide clinical decision making; however, there are no clear guidelines for its use in this population. We sought to describe practice variability with regards to exercise testing for rTOF patients and how exercise data is used to guide management. We distributed a survey to pediatric cardiologists via email. Analyses were performed using qualitative statistics, two-sample T-tests, and chi-squared analysis. One-hundred and three clinicians completed the survey with 83% reporting that they routinely send symptomatic rTOF patients for exercise testing and 59% for asymptomatic patients. Respondents who routinely test asymptomatic patients reported higher levels of perceived helpfulness of exercise testing (p = 0.04) and comfort with CPET interpretation (p = 0.03). Nearly all respondents (92%) reported changing management primarily based on exercise testing results, with 62% reporting “occasionally changing management” and 10% reporting “frequently changing management”. Results indicated that exercise test results influenced clinical decisions, such as the timing of interventions, need for additional imaging, or the initiation of exercise interventions. There was a statistically significant relationship between the perceived helpfulness of exercise testing and the likelihood of management changes (p < 0.01). The variability in attitudes and practices highlights the need for evidence-based guidelines addressing exercise testing in rTOF, particularly for asymptomatic patients.
Development of Frenet-Serret Frame and the Apollonian Window
Authors: Karimushan Syeda Fareeza 
Published: July 2023

Abstract
The present study focuses on Frenet-Serret frame and the Apollonian Window. In the first part of the In the first part of the study Apollonian disks are generated for first four generations by developing visual basic codes in excel. For the second part of the study, three orthonormal basis vectors, namely, tangent, normal, and binormal vectors have been calculated for the tangent points of Apollonian discs for the first three generations. Equations of the Normal, Osculating and Rectifying planes and Taylor Series approximation have been calculated for specific θs. Because Apollonian Window consists of planar curves with constant curvature, torsion is nowhere present. The planar Frenet-Serret Equations for the first three generations for the Apollonian Window is also shown.
Hirschsprung disease: A cost analysis study of the direct, indirect costs and financial coping strategies for the surgical management in Western Uganda
Authors: Binde Ahmed Hamad , Oyania Felix , Ullrich Sarah , Situma Martin , Kotagal Meera , Mulogo Edgar Mugema 
Published: July 2023

Abstract
Background: Surgical management of Hirschsprung disease (HD) in low- and middle-income countries is typically a staged procedure, necessitating multiple hospitalizations and clinic visits increasing family financial burden. Currently there is limited information on the costs borne by caretakers of children with Hirschsprung disease seeking surgical intervention. This study seeks to measure the costs and economic burden of surgical treatment for Hirschsprung Disease in western Uganda.
Methods: A cross-sectional study using cost analysis was conducted among caretakers of patients who completed surgical treatment of HD between January 2017 to December 2021 at two hospitals in western Uganda. The average direct and indirect costs incurred by caretakers presenting at a public and private hospital were computed.
Results: A total of 69 patients (M: F = 7:1) were enrolled in the study. The median age at diagnosis was 60.5 (IQR 3 - 151.25) days for children and 2- staged pull through procedure was the common surgery performed. The mean overall cost for treatment was US $960 (SD = $720), with the majority of costs coming from direct medical costs. Nearly half (48%) of participants resorted to distress financing to finance their child’s surgical care. The overwhelming majority of patients (n = 64, 93%) incurred catastrophic expenditure from the total costs of surgery for HD, and 97% of participants fell below the international poverty line at the time treatment was completed.
Conclusion:Despite the availability of ‘free care’ from government hospital and non-profit services, this study found that surgical management of Hirschsprung disease imposed substantial cost burden on families with Hirschsprung disease patients.
The experience of receiving a letter from a cancer genetics clinic about risk for hereditary cancer
Authors: Öfverholm Anna , Rosén Anna , Karlsson Per 
Published: July 2023

Abstract

Direct contact may be an option for supporting risk disclosure in families with hereditary cancer. In this qualitative interview studywe explore how healthy at-risk relatives experience receiving a letter with information about hereditary cancer directly from healthcare. The study is part of an ongoing multicentre randomised clinical trial in Sweden that evaluates the effectiveness of direct letters from cancer genetics clinics to at-risk relatives (ClinTrial NTC04197856). We invited 14 relatives who had received a letter and contacted the clinic. We did semi-structed interviews and analysed the data with thematic analysis. The participants had different levels of prior knowledge of the hereditary cancer assessment and many but not all knew that a letter was coming. Overall, these participants believed healthcare-mediated disclosure could complement family-mediated disclosure. They expressed that the letter and the message raised concerns and a need for counselling. they wanted healthcare to be accessible and informed when taking contact. The participants found the message easier to cope with when they had been notified by a family member on forehand, a general attitude was that notifying one’s relatives was a decent thing to do. They thought healthcare should help patients in the disclosing process and also guard the relatives right to be informed. This study supports a direct approach from healthcare as a possible complement to the established model of family-mediated risk disclosure, however further research is needed to develop a good practice.
Unveiling the Dual Expression of Haptoglobin in Malignant Hepatocellular Carcinoma Cells through Single-Cell and Bulk RNA Sequencing Analysis
Authors: Du Fukuan , Liu Lin , Hao Siyu , Gou Shuang , Tang Xiaolong , Zhang Yao , Cai Dan , Xiao Mintao , Zhang Xinyi , Zhang Duoli , Shen Jing , Li Yan , Chen Yu , Zhao Yueshui , Deng Shuai , Wu Xu , Li Mingxing , Zhang Zhuo , Xiao Zhangang 
Published: July 2023

Abstract
Hepatocellular carcinoma (HCC) is a highly prevalent and deadly cancer. Existing single-cell transcriptome research on HCC mainly focuses on immune and stromal cells, with limited analysis of malignant cell heterogeneity. In our study, we identified the key subgroup (subgroup 6) of HCC malignant cells with conflicting survival outcomes, and found haptoglobin (HP) as the key gene. Our analysis suggests that HP plays a tumor suppressive role in malignant cells, but has a negative correlation with immunity. Down-regulation of HP expression in HCC immune cells promotes Th1 cell-associated markers expression and reduces the differentiation of Th2 cells to Th1 cells, indirectly suppressing tumor growth. In malignant cells, up-regulation of HP expression to inhibit tumors is associated with the expression of malignant genes. At the same time, the up-regulation of HP expression in Pyridoxine inhibition of HCC is related to Metabolic pathways, Complement and coagulation cascades, Metabolism of xenobiotics by cytochrome P450, Retinol metabolism, Drug metabolism - cytochrome P450, Drug metabolism - other enzymes, Chemical carcinogenesis - DNA adducts, Bile secretion, and Biosynthesis of cofactors. Our study identified HP, a tumor suppressor gene in the malignant cell subpopulation of HCC, which exerts tumor suppressive effects through different mechanisms in immune cells and malignant cells, providing a new reference for the clinical treatment of HCC.
Object Detection by Network Based on CapsNet Architecture and Attention Layers
Authors: Norouzi Mohsen , Hassanpour Hamid , Ghanbari Ali 
Published: July 2023

Abstract
Object detection is responsible for categorizing and locating object in an image or video which has been widely used during recent years. This study represents a model based on Feature Pyramid Network (FPN) and new layers of capsule attention, the represented model is based on anchor and has had 79.5 % MAP in the experiments. On one hand, this imprecision shows improvement up to 7 % than the best existing methods like Yolo V3, Detectron2 etc, on the other hand it doesn’t have acceptable results considering runtime and the number of frames and it is not competitive.
Existence of Solutions for Second-Order ϕ-Laplacian Nonlinear Impulsive BVPS on the Half-Line
Authors: Zerki Ali , Bachouche Kamel , Djidel Samir 
Published: July 2023

Abstract
The present paper is concerned with the existence of solutions for a $\phi-$Laplacian nonlinear boundary value problem (bvp) set on the half-line of second-order differential equation: \begin{equation*} (\phi (r'(t)))' +g(t,r(t),r'(t))=0 ,\quad\text{a.e. } t\in [ 0,+\infty )\backslash \{t_{1},t_{2},\ldots\}, \end{equation*} with the boundary conditions, \begin{equation*} r(0)=A,\quad r'(+\infty )=B, \end{equation*} where $g:[0,+\infty )\times \mathbb{R}^{2}\to \mathbb{R}$ is an $L^{1}$-Carath\'eodory function, and the impulsive conditions are Carathéodory sequences. We use the Schauder fixed point theorem to get our result. The application of the result in an illustrative example of the disappearance of one body and the appearance of another at intervals of time, such as what happens in particle physics (for example the nuclear fission and fusion) and quantum mechanics (Compton scattering).
2020 Mathematics Subject Classification: 34B37, 34B15, 34A36.
Mesonephric-like Adenocarcinoma of the Female Genital Tract – Possible Role of KRAS-targeted Treatment: Detailed Molecular Analysis of a Case Series and Review of the Literature for targetable somatic KRAS -Mutations
Authors: Brambs Christine E. , Horn Lars-Christian , Hiller Grit Gesine Ruth , Krücken Irene , Braun Christian , Christmann Corina , Monecke Astrid , Höhn Anne Kathrin 
Published: July 2023

AbstractPurpose Mesonephric-like adenocarcinomas (MLA) of the female genital tract represent a rare and relatively recently described neoplasm exhibiting characteristic morphologic and immunohistochemical findings commonly associated with aKRAS-mutation. Most cases display an aggressive clinical behavior, but knowledge about treatment approaches is limited, especially for targetingKRAS. Methods We report a series of eight cases with a detailed molecular analysis forKRAS. These cases as well as the data of previously published cases with detailed information regardingKRAS-mutational events were reviewed for a potential targeted approach and its prognostic impact. Results Both the uterine and ovarian MLA harbor a somaticKRASmutation in about 85% of the reported cases, affecting the hotspot codons 12 and 13. 15.7% of the endometrial and 15.6% of ovarian MLA are wildtype forKRAS. A p.G12A-alteration was seen in 5.6% (5/89) of the endometrial and in 6.2% (2/32) of the ovarian tumors, for p.G12C in 7.9% and 6.2%, for p.G12D in 32.6% and 34.5% and for p.G12V in 36% and 37.5%, respectively. Very limited data are available regarding the prognostic impact of different mutational sites within theKRASgene without significant prognostic impact. Conclusion Because of a specific p.G12C-KRASsomatic mutation, only the minority of MLA (7.9% with uterine and 6.2% with ovarian primary) are potentially targetable by sotarasib in that rare but aggressive subtype of adenocarcinoma of the female genital tract. Until now, the different location of a somaticKRAS-mutation is of no prognostic impact.
Chinese negative information recognition based on deep learning
Authors: Wang Song 
Published: July 2023

Abstract

Chinese negative information recognition is the key technology of natural language processing. Its core is to recognize the negative relationship in the text according to the negative information theory. The recognition and classification of negative information is an important research hotspot of natural language processing. It is of great significance to the establishment of big data around Chinese semantic recognition, such as information retrieval and text mining. It is also a key step to promote Chinese language recognition. Firstly, this paper studies the expression forms of Chinese negative information in the scene of life, and points out that negative information recognition mainly includes negative trigger word recognition, negative coverage recognition and negative focus recognition; Then, it summarizes the current basic knowledge of deep learning and Chinese negative information recognition, analyzes the working principle of CRF and recurrent neural network RNN model, and analyzes the basic theories of Chinese information recognition, such as Chinese corpus data and text preprocessing technology; Finally, the combination of bidirectional long-term and short-term memory network (bltstmn) and traditional CRF model is used to study Chinese negative information recognition. Theoretical research shows that the combination of bltstmn-crf has better applicability to Chinese negative information recognition, and has better improvement in recognition accuracy and fast recognition. In this paper, the recognition of Chinese negative information based on bltstmn-crf is a form of applying deep learning to natural language processing, which can provide a thinking reference for other deep learning networks in natural language processing. In the follow-up, we will further study the application of deep learning to natural language processing.
A pan cancerous analysis of FNDC3B in human multiple tumors
Authors: Zhu Huijuan , Ren Xiaoxiao , Ding Wei 
Published: July 2023

Abstract
More and more evidence indicated the relationship between FNDC3B and the invasion and metastasis in numerous types, However, there is no analysis of FNDC3B in various cancers yet. Therefore, in this study, we first explored the potential carcinogenic effects of FNDC3B in 33 types of tumors based on the TCGA and GEO datasets. FNDC3B is highly expressed in most cancers, and there is a significant correlation between the expression of FNDC3B and the prognosis of tumor patients. We observed increased phosphorylation levels of S208 in some tumors, such as lung adenocarcinoma, ovarian cancer, clear cell RCC or UCEC. In invasive breast cancer and head and neck squamous cell carcinoma, the expression of FNDC3B is correlated with CD8 + T-cell infiltration levels. In other tumors, such as colon adenocarcinoma, lung squamous cell carcinoma or rectum adenocarcinoma, cancer-related fibroblast infiltration is also observed. In addition, protein processing and RNA metabolism-related functions in endoplasmic reticulum participate in the functional mechanisms of FNDC3B. Our primary pan cancer study provides a comprehensive understanding of the carcinogenic role of FNDC3B in different tumors.
Multi-Agent Systems using UAV's for Surveillance in the Disaster Management
Authors: Shandilya Aayush Kumar , Kuamr J Sathish 
Published: July 2023

Abstract
Rescue and recovery operations are critical in disaster management. For the speedy rescue process in order to save the lives, proper surveillance of the disaster affected area is essential. In this regard, surveillance using Unmanned Aerial Vehicles (UAV's) are predominately helpful in such circumstances for speedy surveillance. In this context, for faster surveillance, multiple UAV's are deployed in the disaster affected region. In this paper, the multiple UAV's are considered as multi-agent systems and explored the algorithms such as UAV back-and-forth algorithm, UAV FA algorithm and UAV random algorithm. The simulation results are carried out and evaluated the algorithms with respect to various parameters such as, residual battery in the drones, number of targets, average hit time and energy consumption. Based on the simulation results, the requirements and the need of the multi-agents for overall efficient surveillance for disaster management can be analysed based on the gathered information.
WITHDRAWN: Integrative microbiomes analyses identify opportunistic pathogens of patients with lower respiratory tract infections based on Metagenomic Next-Generation Sequencing
Authors: Dong Tingyan , Fan Wentao , Xie Junting , Wang Yongsi , Chen Haitao , Wang Michael , Han Xiaodong 
Published: July 2023

Abstract
Background
Lower Respiratory tract infections (LRTIs) are one of the most widespread and harmful diseases. As an emerging technology, the rapid development of metagenomic next-generation sequencing (mNGS) has advantages for the unbiased etiological detection and greatly meet the needs for the clinical diagnosis. However, little is known about how to interpret the application of mNGS results, especially for the classification of opportunistic pathogens from colonization or infection in patients with LRTIs.
Methods
We performed a retrospective study of respiratory tract samples from 394 patients and 179 health based on the mNGS to assess pathogens and the airway microbiome.
Results
576 discriminant species (442 bacteria and 134 fungi) were achieved from the patients with LRTIs and controls by discriminant analysis. Specifically, these differential species were clustered and charactered into cohort 1, 2, 3 including the colonizing microbiota, emerging opportunistic pathogens and rare opportunistic pathogens on the basis of their correlation profiles, detection frequency and relative abundance. In these 3 cohorts, pathogens from the cohort 2 obtained an average area under the curve (AUC) of 0.976 for the best predictive performance, followed by cohort 1 (0.961) and cohort 3 (0.887). In addition, 46 responsible pathogens (30 bacteria and 16 fungi) were further identified from the three cohorts and achieved good performance of predictive value in LRTIs diagnose (AUC = 0.988). Co-abundance analysis of the ecological network revealed patients with LRITs were more complex and appeared modularly in the focus of the opportunistic pathogens.
Conclusion
Our findings provided a profile of LRTIs-associated bacterial and fungal colonization or opportunistic pathogens in relatively large-scale statistics, which provides potential reference evaluation criterions that contribute to the mNGS report result interpretations including those caused by unknown pathogens in clinical practice.
Flow rate variations in microfluidic circuits with free surfaces
Authors: Messelmani Taha , Nascimento Isabela Zarpellon , Leclerc Eric , Legallais Cécile , Meziane Adam , César William , Jellali Rachid , Goff Anne Le 
Published: July 2023

Abstract
We investigate analytically and experimentally the flow rate through a biochip in a circuit involving a peristaltic pump and reservoirs with liquid/air interfaces. Peristaltic pumps are a convenient way to achieve recirculation in microfluidic circuits. We consider different cases: reservoirs in contact with ambient air, tight reservoirs, and imperfect tightness leading to air or liquid leaks. We demonstrate that if changes in hydraulic resistance are slow enough, i.e. if cells do not proliferate too fast, the system may reach an equilibrium, with a difference in liquid height between inlet and outlet reservoir compensating the pressure drop in the biochip. We compute the flow rate through the biochip in the transient regime as well as the characteristic time. We also show that depending on the circuit dimensions, this equilibrium may never be reached. We provide guidelines to design tubings and reservoirs to avoid this situation and ensure a smooth recirculation at a desired flow rate, which is a necessary condition for dynamic cell culture.
Impact of Money Transfer Pricing on Beneficiaries: an Approach Based on the Dynamic Computable General Equilibrium Model
Authors: COULIBALY Mamadou , KOUAKOU Auguste Konan 
Published: July 2023

Abstract
Achieving the 2030 Agenda of the Sustainable Development Goals is all about eradicating poverty, reducing economic inequality and putting the world on a more sustainable path. As such, the SDGs give us one of the steps to take by reducing tariffs on remittances. Therefore, the overall objective of this study is to assess the future consequences on the income distribution of households in particular and the economy in general as a result of lowering tariffs on remittances. To do so, the methodology chosen is based on the construction of a dynamic computable general equilibrium model (MEGC). The data required for the modelling are taken from the Social accounting matrix (SAM) constructed from the national accounts for the year 2013. The results of the various simulations carried out show, on the one hand, the negative macroeconomic consequences of a tax on remittances on the Ivorian economy and, on the other hand, the simulations of prices on remittances showed an increase in the sums received by the beneficiaries, as well as a significant increase in their well-being and a significant contribution to reducing poverty and inequality in the order of 1.8% and 17% on average per year.
JEL Classification: C68, D31, D58, I32, R20.
Biodegradation of trimethylamine by a halotolerant strain of Paracoccus sp. PS1 and in silico analysis of trimethylamine degrading enzymes
Authors: Seth Madhupa , Mondal Priyajit , Ghosh Dhritishree , Biswas Raju , Chatterjee Sumit , Mukhopadhyay Subhra Kanti 
Published: July 2023

Abstract
In recent times, trimethylamine N-oxide (TMAO) a gut metabolite generated by constitutive oxidation and reduction by gut microbial and host enzymes is gaining increased attention of scientists as it has been linked to the development of atherosclerosis and other ailments such as chronic kidney disease, type 2 diabetes mellitus, etc. TMAO which acts as a biomarker for health risk is generated by the oxidation of trimethylamine (TMA), produced by human gut microflora from proteinaceous food material. Microbial degradation of TMA can be a predicted approach towards the reduction of the effect of TMAO on human health. The isolated Paracoccus sp. strain PS1 could rapidly grow in mineral salt medium supplemented with TMA as the sole source of carbon and nitrogen. Its TMA degrading capacity was further confirmed through spectrophotometric, Electrospray Ionization Time-of-Flight Mass Spectrometry (ESI TOF-MS) and High performance liquid chromatography (HPLC) analysis. In silico analysis of the TMA/TMAO degrading enzymes were performed using bioinformatics tools.