bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experience with aortic arch inclusion technique using artificial blood vessel for type A aortic dissection: an application study
Authors: Li Qingfeng , Li Bin , Xi Shuqiang , Li Zhaobin , Zhu Zhe , Jin Zeyue , Yang Fan , Liu Lei 
Published: October 2023

Abstract
Background: This study aimed to elucidate the methodology and assess the efficacy of the aortic arch inclusion technique using an artificial blood vessel in managing acute type A aortic dissection (ATAAD).
Methods: We conducted a retrospective review of 18 patients (11 males and 7 females, average age: 56.2±8.6 years) diagnosed with ATAAD who underwent tatal aortic arch replacement (TAAR) using an artificial vascular “inclusion” between June 2020 and October 2022. During the operation, deep hypothermic circulatory arrest (DHCA) and selective antegrade cerebral perfusion (ACP) of the right axillary artery were employed for brain protection. The ‘inclusion’ tatal aortic arch replacement and stented elephant trunk (SET) surgery were performed.
Results: Fourpatients underwent the Bentall procedure during the study, withone additional patient requiring coronary artery bypass grafting (CABG) due to significant involvement of the right coronary orifice. Three patients died during postoperative hospitalization. Other notable complications included two cases of postoperative renal failure necessitating continuous renal replacement therapy (CRRT), one case of postoperative double lower limb paraplegia, and one case of cerebral infarction resulting inunilateral impairment of the left upper limb. Eleven patients underwent computed tomography angiography (CTA) examinations of the aorta three months to one year post-operation. The CTA results revealed thrombosis in the false lumen surrounding the aortic arch stent in seven patients and complete thrombosis of the false lumen around the descending aortic stent in eight patients. One patient had partial thrombosis of the false lumen around the descending aortic stent, and another patient’s false lumen in the thoracic and abdominal aorta completely resolved after one year of follow-up.
Conclusions: The incorporation of artificial blood vessels in aortic arch replacement not only simplifies the procedure but also yieldspromising short-term outcomes. It achieves the objective of total arch replacement using a four-branch prosthetic graft. However, extensive sampling and thorough, prolonged follow-up observations are essential to fully evaluate the long-term results.
Enhancing Clinical Data Retrieval with Smart Watchers: A NiFi-based ETL Pipeline for Elasticsearch Queries
Authors: Al-Agil Mohammad , Obee Stephen J , Dinu Vlad , Teo James , Brawand David , Patten Piers , Alhaq Anwar 
Published: October 2023

Abstract

Background
The aim is to develop and deploy an automated clinical alert system to enhance patient care and streamline healthcare operations. Structured and unstructured data from multiple sources are used to generate near real-time alerts for specific clinical scenarios, with an additional goal to improve clinical decision-making through accuracy and reliability.
Results
The automated clinical alert system was developed employing Apache NiFi and Python scripts to simplify data processing pipelines and flexibility in data manipulation and customization of clinical alerts. A comparative analysis between the new automated system and the legacy watchers was performed to evaluate performance metrics such as accuracy, reliability, and scalability. Deployment of the automated clinical alert system showcased a marked improvement in patient care and healthcare operations when compared with legacy watchers. The results indicate its superiority in aspects of accuracy, reliability, and scalability, ensuring efficient data integration and timely alert generation for various clinical scenarios, when compared to manual data extraction and analysis.
Conclusions
The research underscores the utility of employing an automated clinical alert system and its portability facilitated its use across multiple clinical settings, magnifying its impact across varied healthcare scenarios. The study accentuates the vital role that Smart Watchers play in the development of automated clinical alerting systems, highlighting a transformative potential to optimize patient care and healthcare delivery across various clinical settings. The successful implementation and positive impact of the system lay a foundation for future technological innovations in this rapidly evolving field.
The importance of native shrubs on the distribution and diversity of reptiles and amphibians in the central deserts of California
Authors: Owen Ethan , Zuliani Mario , Goldgisser Marina , Lortie CJ 
Published: October 2023

Abstract
Conservation and management of drylands is a global challenge. Key attributes of these ecosystems, such as dominant vegetation including shrubs, can provide a crucial mechanism to inform conservation strategies. The shrub species Ephedra californica and Larrea tridentata are common native shrub species within the deserts of California and frequently benefit other plant and animal species. Here, we tested the hypothesis that shrubs support reptile and amphibian communities through relative increases in available habitat, estimated through increasing shrub densities at the site level. Reported occurrence data from the Global Biodiversity Information Facility (GBIF) and high-resolution satellite images were used to test for local-to-regional patterns in reptile and amphibian distribution and diversity by shrub densities at sites. A total of 71 reptile and amphibian species were present regionally. Increases in shrub density across sites positively influenced the relative abundance and richness of reptiles and amphibians observed. Moreover, increasing shrub density also had a positive influence on species evenness. Aridity did not significantly influence the relationship between shrub density and herptiles suggesting the relationship is robust. This study highlights the importance of foundational shrub species in supporting reptile and amphibian communities in arid and semi-arid regions supporting better understanding of large-scale patterns of biodiversity supported by positive ecological interactions in the context of global change.
LncRNAs Gas5, MALAT1 and SNHG8 as Predictive Diagnostic Biomarkers for Epithelioid Malignant Pleural Mesothelioma in the Egyptian Patients
Authors: Kiriacos Caroline Joseph , Elkahwagy Dina Mohamed , Sobeih Mohamed Emam , Khorshid Ola M Reda , Mansour Manar 
Published: October 2023

Abstract
Background
Long non coding RNAs have proved their involvement in myriad of pathways whether physiological or pathological. To date, malignant pleural mesothelioma, MPM, is considered extremely aggressive cancer. One reason for this is the late diagnosis of the disease which could range from 30–40 years from asbestos exposure. There is an immense need for the development of new, sensitive, cheap and easy way for the early detection of the disease other than invasive ways as biopsies. The aim of this study is determination of expression of circulating lncRNAs in mesothelioma patients’ plasma searching for potential biomarkers.
Methodology:
Ten of previously identified lncRNA that were shown to have aberrant expression in mesothelioma tissues were selected as candidates for subsequent validation. The ten selected candidate LncRNA were verified using quantitative PCR (qPCR) in human plasma samples from mesothelioma patients versus healthy controls.
Results
Expression of circulating GAS5, SNHG8 and MALAT1 were significantly increased in plasma samples of patients when compared to controls. The ROC analysis of both MALAT1 and SNHG8 was; 88.89% sensitivity and 66.67% specificity. Their sensitivity was higher than that of GAS5 (sensitivity 72.22% and specificity 66.67%). The prediction model of GAS5 was statistically significant while that of SNHG8 and MALAT1 was not-probably due to small sample size. The AUC of the three ROC curves were acceptable and significant; 0.7519 for GAS5, 0.7352 for SNHG8 and 0.7185 for MALAT1. Which confirms their discrimination ability as markers. The three lncRNAs were not affected by age, gender or smoking status.
Conclusion
The three lncRNAs showed great potential as predictive diagnostic biomarkers independently. Although the prediction model for MALAT1 did not show significance, it was significantly expressed in patients more than controls p = 0.0266 and recorded sensitivity and specificity levels higher than those of GAS5.
Modern planktonic Foraminifera: migrating is not enough
Authors: Chaabane Sonia , de Garidel Thibault , Meilland Julie , Sulpis Olivier , Chalk Thomas , Brummer Geert-Jan , Mortyn P. Graham , Giraud Xavier , Howa Hélène , Casajus Nicolas , Kuroyanagi Azumi , Beaugrand Grégory , Schiebel Ralf 
Published: October 2023

Abstract

Anthropogenic activities, in particular rising CO2 emissions, provoke ocean warming and acidification1,2, altering plankton habitats and threatening calcifying species3,4 such as planktonic Foraminifera (PF). Whether they can cope with these unprecedented rates of environmental change, through lateral migrations and vertical displacements, is unresolved. Here we show, using over a century of data from the FORCIS5 global census counts, that PF display evident poleward migratory behaviours, increasing their diversity at mid to high latitudes, and for some symbiont-barren species descending in the water column. Global PF abundance decreased by 24.24±0.11% over the last decades. Beyond lateral migrations6, our study uncovers intricate vertical migration patterns among PF species, presenting a nuanced understanding of their adaptive strategies. In projected temperature and carbonate saturation states for 2050 and 2100, low-latitude PF species will face physico-chemical environments that surpass their current tolerance. While these species might replace high-latitude ones through poleward shifts, this would radically alter low-latitude ecosystems. Our insights of PF adaptation during the Anthropocene reveals that 'migration is not enough', and has broader implications for the evolution of marine biodiversity under multiple stressors.
Automated Visual Quality Assessment for Virtual and Augmented Reality based Digital Twins
Authors: Roullier Ben , McQuade Frank , Bower Craig , Anjum Ashiq , Liu Lu 
Published: October 2023

Abstract
Virtual and augmented reality digital twins are becoming increasingly prevalent in a number of industries, though the production of digital-twin systems applications is still prohibitively expensive for many smaller organisations. A key step towards reducing the cost of digital twins lies in automating the production of 3D assets, however efforts are complicated by the lack of suitable automated methods for determining the visual quality of these assets. While visual quality assessment has been an active area of research for a number of years, few publications consider this process in the context of asset creation in digital twins. In this work, we introduce a novel set of decimation algorithms to assess the visual impact of decimation, a process commonly used in the production of 3D assets which has thus far been underrepresented in the visual assessment literature. Our model combines 108 geometric and perceptual metrics to determine if a 3D object has been unacceptably distorted during decimation. Our model is trained on almost 4,000 distorted meshes, giving a significantly wider range of applicability than many models in the literature. Our results show a precision of over 97% against a set of test models, and performance tests show our model is capable of performing assessments within 2 minutes on models of up to 25,000 polygons. Based on these results we believe our model presents both a significant advance in the field of visual quality assessment and an important step towards reducing the cost of virtual and augmented reality-based digital-twins.
A novel mathematical model for computing irradiance on spherically symmetric close-in exoplanets
Authors: Sadh Mradumay 
Published: October 2023

Abstract
The inverse-square law for calculating the irradiation arises as a direct consequence of the conservation of the energy, when spherical symmetry is imposed. The law implies that any spherically-symmetric source can be replaced, without changing the energy flux, by a point-sized source located in the center of symmetry. On the other hand, anybody who has seen a sunset knows that, when the center of the Sun moves slightly below the horizon, still a considerable portion of the stellar surface can be visible, irradiating much more than the corresponding point-sized source, which would be hidden under the horizon. This apparent contradiction is immediately solved when one realises that the presence of the planet, whose surface is absorbing part of the photon flux coming from the star, breaks the spherical symmetry, producing violations of the inverse-square in the sunset (or, equivalently, sunrise) region. On exoplanets that are extremely close to their star, this breakdown of the inverse-square law can become very important. In the present paper I calculate the total irradiance from the star by explicitly integrating the irradiance from each surface element of the stellar surface visible from a given latitude on the planet. I assume that the stellar limb darkening can be approximated using a linear law in these calculations. It has been found that the difference in the irradiation calculated by this model and the inverse-square law is significant at the polar regions of the exoplanets. It has also been found that, as a consequence of the geometry of the star, the day-night terminator shifts from poles towards the night side of the exoplanet.
Zigzag Blue Phosphorene Nanoribbons doped with Si atom for Perfect Spin Filtering, Rectification Behavior and NDR Based Devices
Authors: Lei Yi , Wei Xiangfu , Lin Tugan , Liu Xuejun , Cai Wei , Wang Rigao , Fang Zheng , Xia Ming , Wang Jieshen , Wang Tiansheng , Chen Dedeng 
Published: October 2023

Abstract
In this study, we applied Density Functional Theory (DFT) and Nonequilibrium Green’s Function (NEGF) framework to investigate the quantum transport characteristics of Zigzag Blue Phosphorene (ZblueP) nanoribbons doped with Silicon (Si). We aimed to delve into the structural stability, as well as the electronic and transport properties of the device in question. Intriguingly, we discovered that doping strategies can effectively morph a monolayer (ML) of Si-doped ZblueP into a spintronic nanodevice boasting several distinctive transport attributes. Firstly, under certain bias, our model displayed an impressively high dual spin filtering effect (SFE). Secondly, we observed a spin rectifier with a considerable rectifica-tion ratio (RR) of 8.50 x 102. Lastly, we noticed negative differential resistance featuring a peak-to-valley current ratio (PVCR) of 9.65 x 102. Our findings suggest a promising path towards the advancement of high-performing ML ZblueP spintronics technology through Si doping. The results underscore that our model holds substantial potential for utilization in nanoscale spintronic devices.
Gene expression analyses reveal differences in children’s response to malaria according to their age
Authors: Tebben Kieran , Yirampo Salif , Coulibaly Drissa , Koné Abdoulaye , Laurens Matthew , Stucke Emily , Dembélé Ahmadou , Tolo Youssouf , Traoré Karim , Niangaly Ahmadou , Berry Andrea , Kouriba Bourema , Plowe Christopher , Doumbo Ogobara , Lyke Kirsten , Takala-Harrison Shannon , Thera Mahamadou , Travassos Mark , Serre David 
Published: October 2023

Abstract
In Bandiagara, Mali, children experience on average two clinical malaria episodes per season. However, even in the same transmission area, the number of uncomplicated symptomatic infections, and their parasitemia, vary dramatically among children. To examine the factors contributing to these variations, we simultaneously characterized the host and parasite gene expression profiles from 136 children with symptomatic falciparum malaria and analyzed the expression of 9,205 human and 2,484 Plasmodium genes. We used gene expression deconvolution to estimate the relative proportion of immune cells and parasite stages in each sample and to adjust the differential gene expression analyses. Parasitemia explained much of the variation in both host and parasite gene expression and revealed that infections with higher parasitemia had more neutrophils and fewer T cells, suggesting parasitemia-dependent neutrophil recruitment and/or T cell extravasation to secondary lymphoid organs. The child’s age was also strongly correlated with gene expression variations. Plasmodium falciparum genes associated with age suggested that older children carried more male gametocytes, while host genes associated with age indicated a stronger innate response (through TLR and NLR signaling) in younger children and stronger adaptive immunity (through TCR and BCR signaling) in older children. These analyses highlight the variability in host responses and parasite regulation during P. falciparum symptomatic infections and emphasize the importance of considering the children’s age when studying and treating malaria infections.
Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome
Authors: Ansari Amir , Pillay Kirubin , Arasteh Emad , Dereymaeker Anneleen , Mellado Gabriela Schmidt , Jansen Katrien , Winkler Anderson M. , Naulaers Gunnar , Bhatt Aomesh , Huffel Sabine Van , Hartley Caroline , De Vos Maarten , Slater Rebeccah , Baxter Luke 
Published: October 2023

Abstract

Objective
Electroencephalography (EEG) can be used to estimate neonates’ biological brain age. Discrepancies between postmenstrual age and brain age, termed the brain age gap, can potentially quantify maturational deviation. Existing brain age EEG models are not well suited to clinical cot-side use for estimating neonates’ brain age gap due to their dependency on relatively large data and pre-processing requirements.
Methods
We trained a deep learning model on resting state EEG data from preterm neonates with normal neurodevelopmental Bayley Scale of Infant and Toddler Development (BSID) outcomes, using substantially reduced data requirements. We subsequently tested this model in two independent datasets from two clinical sites.
Results
In both test datasets, using only 20 min of resting-state EEG activity from a single channel, the model generated accurate age predictions: mean absolute error = 1.03 weeks (p-value = 0.0001) and 0.98 weeks (p-value = 0.0001). In one test dataset, where 9-month follow-up BSID outcomes were available, the average neonatal brain age gap in the severe abnormal outcome group was significantly larger than that of the normal outcome group: difference in mean brain age gap = 0.50 weeks (p-value = 0.04).
Conclusions
These findings demonstrate that the deep learning model generalises to independent datasets from two clinical sites, and that the model’s brain age gap magnitudes differ between neonates with normal and severe abnormal follow-up neurodevelopmental outcomes.
Significance
The magnitude of neonates’ brain age gap, estimated using only 20 min of resting state EEG data from a single channel, can encode information of clinical neurodevelopmental value.
Development Of Kinetic Inductance Detector On ZrO2 Substrate For Double-Beta Decay Search
Authors: Kamei Yuto , Ishidoshiro Koji , Ito Ryota , Kobayashi Tatsuya , Mima Satoru , Nakajo Yuto , Otani Chiko , Taino Tohru 
Published: October 2023

Abstract

Lumped element kinetic inductance detector (LEKID) is a promising superconducting energy detector that will advance the search for rare physics events, for instance, double-beta decay. We focus on the application of LEKIDs in the search for double-beta decay with particular attention to 94Zr. This proceeding reports the implementation of LEKID on unique material substrate, ZrO2 substrate. It was confirmed that it actually worked. This achievement marks a significant milestone towards realizing the search of rare physics events utilizing LEKIDs.
Effect of the arching action on the behavior of the RC precast concrete deep beams: comparison between several hybrid models.
Authors: Shakir Qasim M. , Alghazali Asmaa F. 
Published: October 2023

Abstract
The application of precast industry in production various structural elements increased dramatically. deep beams is an important kind of such elements that is used to support heavy loads. In the present work, two proposals of concrete-hybrid deep beams have been studied and compared with the non-hybrid and conventionally hybrid deep beams. Five specimens of deep beams have been tested under gradually increased mid-span static load up to failure. The response has been discussed in terms of cracking pattern, mode of failure, load-deflection curves and history of crack width. The proposed models aimed study the effect of configuration of distribution of concrete types within the cross-section of the deep beam. In such proposals, the costly concrete used within the regions that may contribute effectively on resisting the external loading and may be considered as the path of stress transfer from points of load application to supports. The proposed models (curved) and (arched) aimed to control the most possible causes of failure in deep beams. This may give ability to improve the capacity of the deep beams with keeping cost as low as possible by making the volume of SFC as small as possible. Results revealed that using the curved models improved capacity by 21% relative to the non-hybrid model. While using the arched model improved capacity by 15% and 23% with using vertical and inclined stirrups respectively. Moreover, maximum enhancement in the flexural toughness of 62% was obtained.
Flexible QoS scheme with optimized slice assignment to manage traffic dynamism over elastic optical networks
Authors: Khlifi Yassine 
Published: October 2023

Abstract
Elastic optical networks (EON) provide an adequate solution for flexible connections using a flexible grid (flex-grid) to manage resource availability and support high-bandwidth applications. However, EON resource utilization and QoS provisions are affected by dynamic traffic with variable parameters and needs created by new applications and services. This paper presents a flexible QoS scheme using optimized slice assignment to resolve traffic dynamism challenges. That scheme balances wavelength slice allocation and irregular traffic rates, integrating real-time and required parameters employing the designed slots' cost optimization. It enables an innovative cost formulation, developed in the mathematical model, to ensure EON constancy in supervising bandwidth essential granularity and variable traffic demands and improve loss, blocking probability, slice utilization, and extra mean processing time. Extensive simulation shows that the suggested scheme performs a novel algorithm, optimizing slice usage and guaranteeing traffic requirements better than the recent approaches, including arrival time and priority level of incoming variable traffic constraints.