bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the Efficacy of Sacubitril/valsartan on Radiofrequency Ablation in Patients with Hypertension and Persistent Atrial Fibrillation
Authors: Zang Xiaobiao , Zhao Zhihan , Chen Ke , Song Weifeng , Ma Jifang , Zhou You , Liang Erpeng , Fu Haixia , Wang Xianqing , Zhao Yonghui , Zhang Rongfeng 
Published: April 2023

Abstract
Objective：To evaluate whether the effect of radiofrequency ablation can be improved by using Sacubitril/Valsartan (S/V) to control blood pressure in hypertensive patients with persistent atrial fibrillation.
Methods: A total of 63 and 67 hypertension patients with persistent atrial fibrillation were enrolled in an S/V group and ACEI/ARB group, respectively. All patients underwent radiofrequency ablation (RFCA). The blood pressure of the two groups was controlled within the range of 100–140 mmHg (high pressure) and 60–90 mmHg (low pressure). The clinical indexes of the two groups were observed after 12 months of follow-up.
Results: No significant differences in blood pressure were observed between the S/V and ACEI/ARB group. In addition, the recurrence rate of atrial fibrillation between the two groups was not different. The left atrial diameter was an independent predictor of recurrence (HR = 1.063, P = 0.008). However, in the heart failure subgroup, the recurrence rate of S/V was significantly lower than that of the ACEI/ARB group (P = 0.005), and cox regression analysis showed that the recurrence risk of atrial fibrillation of the S/V group was 0.302 lower than that of the ACEI/ARB group. NT ProBNP, LVEF, and LAD were significantly improved in hypertension patients with heart failure when comparing cases before and at the end of follow-up.
Conclusions: S/V is better than ACEI/ARB in reducing the recurrence of persistent atrial fibrillation in patients with hypertension and heart failure after RFCA.
A DNA assembly toolkit to unlock the CRISPR/Cas9 potential for metabolic engineering
Authors: Yuzbashev Tigran , Yuzbasheva Evgeniya , Melkina Olga , Patel Davina , Bubnov Dmitrii , Dietz Heiko , Ledesma-Amaro Rodrigo 
Published: April 2023

Abstract
CRISPR/Cas9-based technologies are revolutionising the way we engineer microbial cells. One of the key advantages of CRISPR in strain design is that it enables chromosomal integration of marker-free DNA, eliminating laborious and often inefficient marker recovery procedures. Despite the benefits, assembling CRISPR/Cas9 editing systems is still not a straightforward process, which may prevent its use and applications. In this work, we have identified some of the main limitations of current Cas9 toolkits and designed improvements with the goal of making CRISPR technologies easier to access and implement. These include 1) A system to quickly switch between marker-free and marker-based integration constructs using both a Cre-expressing and standard Escherichia coli strains, 2) the ability to redirect multigene integration cassettes into alternative genomic loci via Golden Gate-based exchange of homology arms, 3) a rapid, simple in-vivo method to assembly guide RNA sequences via recombineering between Cas9-helper plasmids and single oligonucleotides. We combine these methodologies with well-established technologies into a comprehensive toolkit for efficient metabolic engineering using CRISPR/Cas9. As a proof of concept, we generated and characterized a library of 137 promoters and built a de novo Yarrowia lipolytica strain synthetizing 373.8 mg/L homogentisic acid.
Chemical Doping to Control the In-Situ Formed Doping Structure in Light-Emitting Electrochemical Cells
Authors: Huseynova Gunel , Rafols-Ribe Joan , Auroux Etienne , Huang Ping , Tang Shi , Larsen Christian , Edman Ludvig 
Published: April 2023

Abstract
The initial operation of a light-emitting electrochemical cell (LEC) constitutes the in-situ formation of a p-n junction doping structure in the active material by electrochemical doping. It has been firmly established that the spatial position of the emissive p-n junction in the interelectrode gap has a profound influence on the LEC performance because of exciton quenching and microcavity effects. Hence, practical strategies for a control of the position of the p-n junction in LEC devices are highly desired. Here, we introduce a “chemical pre-doping” approach for the rational shifting of the p-n junction for improved performance. Specifically, we demonstrate, by combined experiments and simulations, that the addition of a strong chemical reductant termed “reduced benzyl viologen” to a common active-material ink during LEC fabrication results in a filling of deep electron traps and an associated shifting of the emissive p-n junction from the center of the active material towards the positive anode. We finally demonstrate that this chemical pre-doping approach can improve the emission efficiency and stability of a common LEC device.
CFD Modeling of a Multichannel Fischer–Tropsch Reactor Module with Microscale Cooling Channels: Effects of Mirrored Structure Cooling Layers
Authors: Woo Yesol , Oh Da Bin , Park Jae Eun , Han Seung Ju , Lee Yun-Jo , Park Myung-June 
Published: April 2023

Abstract
Computational fluid dynamics (CFD) modeling of a multichannel Fischer–Tropsch reactor with microscale cooling channels was addressed in this study, wherein detailed mass, momentum, and energy balances were solved to retrieve detailed distributions of the conversion and temperature of both catalytic and cooling layers. A comparison between experimental data and simulation results showed relative errors of 6.73% and 1.22% for conversion and C5 + selectivity, respectively, which proves the validity of the proposed model. The novel structure of the reactor composed of mirrored structure cooling layers was suggested to prevent the thermal instability of a large-scale reactor module. The simulation showed that the symmetric distribution of the dense cooling channel area in the early part of the reactor decreased peak temperatures (ΔTmax = 28.6°C), whereas the nonmirrored case resulted in hot spots caused by the limited heat transfer capacity (ΔTmax = 39.2°C). The effects of the feed/coolant temperature, space velocity, and pressure were evaluated, and high temperatures and pressures resulted in a steep temperature increase in the early part of the reactor whereas the high space velocity showed an increase in the area of peak temperature. Further, the analysis showed trade-offs of operating conditions between the conversion and selectivity of desired products.
Engineering Immunosuppressive Drug Resistant Armored (IDRA) SARS-CoV-2 T cells for cell therapy
Authors: Bertoletti Antonio , Chen Qi , Chia Adeline , Hang Kit , Lim Amy , Koh Wee , Peng Yanchun , Gao Fei , Chen Ji , Ho Zack , Wai Lu , Kunasegaran Kamini , Tan Anthony , Bert Nina Le , Dong Tao , Vathsala Anantharaman 
Published: April 2023

Abstract
Solid organ transplant (SOT) recipients receive immunosuppressive drugs (ISDs) and are susceptible to develop severe COVID-19. Here, we analyzed the Spike-specific T cell response after 3 doses of mRNA vaccine in a group of SOT patients (n=136) treated with different ISDs. We demonstrated that combination of calcineurin inhibitor (CNI), mycophenolate mofetil (MMF), and prednisone (Pred) treatment regimen displayed strong suppression of mRNA vaccine-induced Spike-specific cellular response. Such defects have clinical consequences since the magnitude of vaccine-induced Spike-specific T cells was directly proportional to the ability of SOT patients to rapidly clear SARS-CoV-2 after breakthrough infection.
To then compensate the T cell defects induced by immunosuppressive treatment and to develop an alternative therapeutic strategy for SOT patients, we describe the production of 6 distinct SARS-CoV-2 epitope-specific ISD-resistant T Cell Receptor (TCR)-T cells engineered using mRNA electroporation method with reactivity minimally affected by mutations occurring in Beta, Delta, Gamma, and Omicron variants. This strategy with transient expression characteristics marks an improvement in the immunotherapeutic field and provides an attractive and novel therapeutic possibility for immunosuppressed COVID-19 patients.
Evaluation of Circulating Plasma Proteins in Breast Cancer: A Mendelian Randomization Analysis
Authors: Malarstig Anders , Grassman Felix , Dahl Leo , Dimitriou Marios , Mcleod Dianna , Gabrielson Marike , Smith-Byrne Karl , Thomas Cecilia , Huang Tzu-Hsuan , Forsberg Simon , Eriksson Per , Ulfstedt Mikael , Johansson Mattias , Sokolov Aleksandr , Schioth Helgi , Hall Per , Schwenk Jochen , Czene Kamila , Hedman Asa 
Published: April 2023

Abstract
The blood proteome reflects homeostatic and dynamic cellular processes across human organs. However, few blood proteomics studies of sufficient depth and size have been reported in breast cancer. To comprehensively identify circulating proteins with a causal role in breast cancer we measured 2,929 unique proteins in plasma from 598 women selected from the Karolinska Mammography Project and explored associations between proteins levels, clinical characteristics, and gene variants. The analysis revealed 812 cis-acting protein quantitative trait loci (pQTL), which were used as instruments in Mendelian randomisation (MR) analysis of breast cancer. Five proteins (P < 1.7x10-5, Bonferroni-corrected) with a potential causal role in breast cancer risk were revealed (CD160, DNPH1, LAYN, LRRC37A2 and TLR1). Confirming the MR findings in independent cohorts (FinnGen R9 and the UK Biobank), our study suggests that these proteins should be further explored as potential drug targets in breast cancer.
Green Synthesis of Magnesium Nanoparticles and Magnesium Chitosan Composite using Eichhornia Crassipes Leaf Extract and its Antibacterial Activity
Authors: Jayanthi R. , Muthukrishnan P. 
Published: April 2023

Abstract
The scientific community is becoming interesting in green synthesis since it is thought to be an environmentally friendly technique that produces no harmful waste and employs less toxic materials and solvents. Due to its simplicity and environmental friendliness compared to physical and chemical approaches, the use of plants to prepare metal and metal oxide nanoparticles has recently received a lot of attention. A flexible material for multiple uses, magnesium oxide nanoparticles (MgO-NPs) and magnesium chitosan composite were produced via green synthesis utilizing leaf extract. In order to make magnesium oxide nanoparticles (MgO-NPs) and magnesium chitosan composite, aqueous leaf extract of Eichhornia crassipes was used in this study. The FT-IR approach was used to establish the existence of functional groups in the synthesized MgO nanoparticles and Magnesium Chitosan Composite. An X-ray Diffraction (XRD) analysis was utilized to demonstrate the crystalline nature and size of the biosynthesized nanoparticle. The size, shape, and composition of greenly produced MgO nanoparticle and magnesium chitosan composite were confirmed using SEM with EDAX. The effect of gram positive (S. aureus) and gram negative (E. coli) bacteria on green synthesized MgO nanoparticles and magnesium chitosan composite was also investigated. Additionally, it was discovered that MgO nanoparticles significantly inhibit bacterial growth in both stains. This type of nanoparticle production makes it appropriate for antibacterial research. For the manufacture of magnesium oxide nanoparticles (MgO-NPs) and its composite in medical and environmental applications, green fabrication is a new and environmentally friendly process.
The Investigation of graded channel effect on Analog/Linearity Parameter Analysis of junctionless surrounded gate graded channel MOSFET
Authors: Misra Sarita , Biswal Sudhansu Mohan , Baral Biswajit , Pati Sudhansu Kumar 
Published: April 2023

Abstract
Linarity analysis of nanoscaled devices is a vital issue as nonlinearity behaviour is exhibited by them when employed in circuits for microwave and RF applications. In this work a junctionless surrounded gate graded channel MOSFET (JLSGGC MOSFET) is investigated thoroughly to analyse its linearity performance with the help of ATLAS tool of technology computer aided design (TCAD). The proposed device is compared systematically with the conventional junstionless surrounded gate MOSFET(JLSG MOSFET) to investigate their linearity. To evaluate the linearity, the figure of merits (FOMs) such as higher order tranconductances (Gm1 ,Gm2), intercept points(VIP2, VIP3, IIP3), IMD3 and 1 dB– compression point(P1 dB) are considered. The linearity of our proposed device improves by 35.5% in the view of the compression point in comparison to JLSG MOSFET before threshold voltage region of operation. The simulation results reveal a substantial enhancement in the linearity performance of the JLSGGC MOSFET. Improved linearity behaviour of JLSGGC MOSFET make it suitable for wireless RF and system on chip applications.
Blockchain Enabled Task Offloading Based on Edge Cooperation in the Digital Twin Vehicular Edge Network
Authors: Li Chunhai , Chen Qiyong , Chen Mingfeng , Su Zhaoyu , Lan Dapeng , Amir Taherkordi 
Published: April 2023

Abstract
The rapid development of the Internet of Vehicles (IoV) along with the emergence of intelligent applications have put forward higher requirements for massive task offloading. Even though Mobile Edge Computing (MEC) can diminish network transmission delay and ease network congestion, the constrained heterogeneous resources of a single edge server and the highly dynamic topology of vehicular edge networks may compromise the efficiency of task offloading, including latency and energy consumption. Vehicular edge networks are also vulnerable to malicious outside attacks. In this paper, we propose a new blockchain-enabled digital twin vehicular edge network (DTVEN) where digital twin (DT) is exploited to monitor network communication, computation, and caching (3C) resources management in real time to provide rich data for offloading decision-making, as well as blockchain is utilized to secure fair and decentralized offloading transactions among DTs. To ensure 3C resources sharing across edge servers, we design a DT-assisted edge cooperation scheme, which makes full use of edge resources in vehicular networks. Furthermore, a DT-based smart contract is built to achieve a quick and effective consensus process. Then, we apply a task offloading algorithm based on an improved cuckoo algorithm (ICA) and a resource allocation scheme based on greedy strategy to minimize network cost by comprehensively taking into account latency and energy consumption. Numerical results demonstrate that our proposed scheme outperforms the existing schemes in terms of network cost.
Stabilization of chlorella bioactive-peptides within biopolymeric carriers: Techno- functional, structural and biological properties
Authors: Gharehbeglou Pouria , Rad Aziz Homayouni , Jafari Seid Mahdi , Sarabandi Khashayar , akbarbaglu Zahra 
Published: April 2023

Abstract
Chlorella vulgaris (CV) is a green unicellular microalga with various bioactive compounds (BACs) and is highly appreciated due to its variety of biological activities. Among different sources, bioactive peptides have positive biological effects and numerous health-promoting properties. However, instability, reactivity and high bitterness are the main challenges which may restrict the application of these components in preparation of diverse food compounds. Therefore, the present investigation stresses on the capability of the gum arabic (GA), maltodextrin (MD), pectin (PE) and alginate (AL), and combinations of them as carrier agents on physicochemical, techno-functional, structural and activity of spray-dried CV peptides. Biological indices were affected by the degree of hydrolysis and free amino acid values. The alteration in physico-chemical, functional, flowability along with color characteristics may be associated with composition of the carriers. MD-AL combination showed the best performance on the mentioned indicators, physical stability and scavenging the ABTS (84%) and DPPH (77%) radicals of spray-dried (SD) peptides. The chemical structures (FTIR analysis) indicated the placement of peptides in the carrier matrix. SEM images of SD particles revealed wrinkled, irregular and hollow structures (matrix-type microsphere) in different sizes. Referring to the findings, microencapsulated CV peptides is a valuable source of BACs in functional formulations.
Blockchain based Trusted Execution Environment Architecture Analysis for Multi - source Data Fusion Scenario
Authors: Yang Nan , Yang Li , Du Xingzhou , Guo Xunyi , Zhang Yuwen , Meng Fanke 
Published: April 2023

Abstract
Multi-source data fusion techniques are widely applied in dynamic target detection scenarios, such as target situational awareness, radar signal resolution, and feature fusion labeling. Currently, techniques including clustering, neural networks, Bayesian analysis, and machine learning have been applied to improve the success rate of multi-source data fusion in terms of interference data noise reduction. However, there are fewer studies and applications in terms of data tamper-proofing from the data source itself and running the computation process in a trusted execution environment. Accordingly, this paper proposes a trusted execution environment architecture based on blockchain technology for multi-source data fusion scenarios, and integrates the strategy of trusted data source data verification in blockchain smart contracts into the typical multi-source data fusion application architecture. After comparison tests in a simulation environment, the trusted execution environment architecture based on blockchain technology is able to obtain a considerable improvement in fusion success rate with limited performance cost.
Prediction for diabetes by a weighted voting classifier based on normalized AUC with balancing factors
Authors: Gao Xiang , Zheng Ming 
Published: April 2023

Abstract
Diabetes is a metabolic disease characterized by hyperglycemia caused by insulin deficiency or resistance. Diabetes can lead to various co-morbidities and is a common medical problem worldwide. The prevention and control of diabetes would benefit from accurately identifying diabetic individuals. In this study, we test the best pipeline of different machine learning (ML) models (K-Nearest Neighbor, Random Forest, Support Vector Machine, XGBoost) under different pre-processing. Also, this study investigates and proposes a weighted soft-voting classification model (NAWVE), which uses the AUC obtained from the base model on the training set and adds a balancing factor as a weight after normalization. This integrated model can well balance different performance classifiers. In the prediction of diabetes, NAWVE received the highest scores in four metrics, with accuracy, AUC, f1, and recall of 0.9606, 0.9621, 0.9472, and 0.9677, respectively. Our proposed fusion model outperformed any individual classification model and Stacking with meta-learner as logistic regression.
Significance of oxidative stress in the diagnosis and subtype classification of intervertebral disc degeneration
Authors: Gu Jun , Zhou Xiaoyang , Xie Lin 
Published: April 2023

Abstract
Intervertebral disc degeneration (IVDD) is a common disease of aging, and its pathophysiological process is mainly manifested by cell aging and apoptosis, an imbalance of extracellular matrix synthesis and catabolism, and an inflammatory response. Although great efforts have been made in the study of IVDD, the specific pathogenesis and the associated regulatory genes are still not fully understood to date. Oxidative stress (OS) is an imbalance that decreases the body's intrinsic antioxidant defense system and/or increases the production of reactive oxygen species and performs multiple biological functions in the body. However, our current knowledge of the effect of OS on the progression and treatment of IVDD is still extremely limited. In this study, we obtained 35 DEGs by differential expression analysis of 437 oxidative stress-related genes (OSRGs) between IVDD patients and healthy individuals from GSE124272 and GSE150408, and subjected these DEGs to GO and KEGG analysis. Then, based on these 35 differentially expressed genes, we identified six hub OSRGs (ATP7A, MELK, NCF1, NOX1, RHOB, and SP1), and the high accuracy of these hub genes was confirmed by constructing ROC curves. In addition, to predict the risk of IVDD patients, we developed a nomogram model. Based on the six previously screened hub genes, we obtained two OSRG clusters (cluster A and B) by consensus clustering. Then, 3147 DEGs were obtained by differential gene expression analysis of all samples in the two clusters, and based on this, all samples were further divided into two gene clusters (A and B). We obtained the OSRG scores for every sample using the PCA algorithm and measured the differences among the different clusters. We investigated differences in immune cell infiltration levels between different clusters and discovered that most immune cells had higher infiltration levels in OSRG cluster B or gene cluster B. To summarize, OS is important in the formation and progression of IVDD, and we believe that our work will help guide future research on OS in IVDD.
Impact of prenatal diagnosis of critical congenital heart disease on preoperative and postoperative outcomes
Authors: Dischinger Ashley N. , Li Jennifer S. , Mulder Hillary , Spears Tracy , Chiswell Karen E. , Hoffman Timothy M. , Hartman Robert J. , Walsh Michael J. , Sang Charlie J. , Sarno Lauren A. , Paolillo Joseph A. , Welke Karl , D’Ottavio Alfred , Sethi Neeta J. 
Published: April 2023

Abstract
Objective: The objective of this study was to assess the relationship of prenatal diagnosis of critical congenital heart disease (CHD) to preoperative and postoperative patient findings.
Method: Retrospective analysis of neonates with critical CHD who underwent cardiothoracic surgery at one of four centers in North Carolina between 2008-2013. Surgical data collected by sites for submission to the Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSD) and the North Carolina CHD Lifespan Database were queried.
Results: There were 715 patients with STS records; 566 linked to the NC CHD database. Patients with prenatal diagnosis had a lower incidence of preoperative risk factors, including need for mechanical ventilation and presence of shock. However, prenatally diagnosed patients had worse short-term outcomes, including higher operative mortality, higher incidence of select postoperative complications, and longer LOS. There was no difference in one-year mortality.
Conclusion: Our findings are consistent with current literature which suggests that prenatal diagnosis of critical CHD is associated with a more optimized preoperative clinical status. However, we found that patients with prenatal diagnoses had less favorable postoperative outcomes. This needs to be investigated further, but may be secondary to patient-specific factors, such as CHD disease severity.