bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of SGLT-2 inhibitors and GLP-1RA on Major Cardiovascular Conditions: A Meta-Analysis
Authors: Jogimahanti Arjun , Honan Kevin , Ahmed Talha , Leon-Novelo Luis , Khair Tarif 
Published: August 2022

Abstract
Objective
Sodium-glucose co-transporter 2 (SGLT-2) inhibitors and Glucagon-like Peptide-1 Agonists (GLP-1RA) are two common anti-hyperglycemic agents prescribed by clinicians. The effects on cardiovascular conditions such as heart failure (HF) hospitalization, stroke, myocardial infarctions, and other cardiovascular conditions are not well studied. The purpose of this study is to analyze existing data on the effect of SGLT-2 inhibitors and GLP-1RA on preventing these cardiovascular conditions.
Methods
A retrospective meta-analysis of all existing literature of the effect of SGLT-2 inhibitors and GLP-1RA on the rates of the following categories was researched: primary cardiovascular outcomes, heart failure hospitalizations, atrial fibrillation, stroke, myocardial infarction, left ventricle ejection fraction (LVEF), and heart failure symptoms. Hazard ratios for each category were obtained, and overall Hazard Ratio (HR)’s to determine overall statistical significance were computed.
Result
Both medication classes provided statistically significant reduction in preventing major cardiovascular events. Only SGLT-2 inhibitors provided statistically significant reduction in heart failure hospitalizations. Only GLP-1RA provided statistically significant reduction in preventing stroke. Neither medication class provided a statistically significant benefit in preventing myocardial infarctions or improving LVEF. More studies are needed on effects of either SGLT-2 inhibitors or GLP-1RA agonists on preventing HF symptoms or atrial fibrillation.
Conclusion
This study demonstrates that SGLT-2 inhibitors and GLP-1RA are important for improving both diabetic and cardiovascular health. In patients at risk for a major cardiovascular event, SGLT-2 inhibitors or GLP-1RA may be prescribed by clinicians. More studies must be performed to draw more conclusions.
Global Mittag-Leffler stability and synchronization control of fractional-order memristor-based neural networks with proportional delays
Authors: Liu Weide , Chen Yuhui , Kwan Trevor Hocksun , yao qinghe 
Published: August 2022

Abstract
This research addresses the global Mittag-Leffler stability and synchronization control problems of the fractional-order memristor-based neural network, which more accurately describes physical phenomena than integer-order networks system, and simultaneously exhibits complex dynamic behaviors. Specifically, the difficulties due to the processing of derivatives and inequalities of the fractional-order memristor have overcome these issues via fractional differential inclusion, set-valued mapping, and a new Lyapunov functional. Furthermore, the state feedback controller has been designed to flexibly solve the complex system external disturbance, which involves a generalized type of proportional time-delay control law that enables flexible parameter adjustment.Obtained the results demonstrate better exponential stabilizable and asymptotic synchronization over traditional integer-order neural networks. They are also a generalization and promotion of the predecessors on the dynamic behavior analysis of complex systems. Finally, the validity of the theoretical results has been verified by simulation examples.
WITHDRAWN: Identification and Prediction of Diabetic Macula Edema in Two-dimensional Fundus Images Using Raphe Assessment and Deep Convolution Neural Networks
Authors: Karkuzhali S. , Manimegalai D. 
Published: August 2022

Abstract
Diabetic Macula Edema (DME) is brought about by collection of extracellular liquid from hyper penetrable vessels inside the macula. DME is one of the main sources of visual impairment among diabetic patients. The patients who are influenced by diabetes and Diabetic Retinopathy (DR) are well on the way to be influenced by DME. The presence of Exudates in macula area is the significant sign of essence of DME. The Optic Disc (OD) and Blood Vessels (BVs) are the retinal milestones divided to find macula and fovea locale. Area of macula focus is vital for portion the anomalies in the macula locale. The irregularity and its seriousness of the sickness in macula district can be distinguished solely after finding the macula place. Pictures from High Resolution Fundus (HRF) database are utilized for testing and examination. The Atanassov’s Intuitionistic fuzzy Sets (A-FIS) and morphological tasks are utilized to portion OD and BVs. With these retinal landmarks, macula is recognized by raphe assessment. The Exudates (EXs) present in macula district are portioned proficiently by inclination based versatile thresholding. Deep Convolution neural network used for classification of DME and non-DME affected images. The division of OD and EXs has accomplished SE of 95.21%, 98.2%, SPE of 82.36%, 97.4% and ACC of 99.21%, 99.23% separately.
A systematic study on three-roll continuous straightening process for LSAW pipes
Authors: Wang Chunge , Zhang Keke , Zhang Ning , Li Rongzhi , Ma Bangbang , Yu Gaochao , Zhao Jun , Huang Xueying 
Published: August 2022

Abstract
Aiming at the low efficiency and unstable accuracy of the current mold-pressing straightening for LSAW pipes, a three-roll continuous straightening process is proposed in this study, which uses the roller straightening instead of mold bending. According to the novel technology, the calculation model of theoretical straightening moment is derived based on the springback equation of plane bending with small curvature, and the calculation model of initial curvature is established for the new deflection detection method. Further, the numerical simulation analysis is carried out for the LSAW pipe case, and a straightening experimental platform is built for experiments. The research shows that the accuracy of theoretical moment equation required for straightening directly related to the initial curvature, rather than the fitting accuracy of deflection curve, and the low-order simple fitting curvature calculation model has the highest reliability. In order to control the section distortion and straightening blind area, the straightening roller should follow the equal diameter design principle, and the empirical formula of span estimation is given. Under the optimal conditions, the straightness of the corrected tubes can be controlled within 1.5‰ and the ovality of the section can be within 0.5%, which proves the feasibility and reliability of the new process. What’s more, the straightening system built in this work, including process analysis software, is conducive to the automation and popularization of the new process.
Can elastography predict early allograft dysfunction or loss after liver transplantation? A prospective study of diagnostic accuracy.
Authors: Andrade Guilherme Marques , Malbouisson Luiz Marcelo Sá , Vezozzo Denise Paranaguá , Carrilho Flair José , D’Albuquerque Luiz Augusto Carneiro , Farias Alberto Queiroz 
Published: August 2022

Abstract
Early allograft dysfunction after liver transplantation is an important cause of allograft loss. There is a lack of data on applicability of liver stiffness measurement (LSM) by elastography in early post-liver transplantation that can predict these complications. Our aim was to evaluate the diagnostic accuracy of elastography to predict early allograft dysfunction or loss after liver transplantation. Sixty-one liver transplant patients were prospectively enrolled and underwent daily LSM over the first seven post-operative days. Early allograft dysfunction and loss occurred in 27 (44.2%) and 17 (27.8%) patients, respectively. C-statistic of each day of LSM showed high accuracy and no significant difference between them. For early allograft dysfunction, LSM>2.39m/s on the first day had c-statistics=0.83, sensitivity=0.41, specificity=0.97, positive predictive value=0.92, negative predictive value=0.67, positive likelihood ratio=13.85 to rule in, while a LSM<1.65m/s had c-statistics=0.83, sensitivity=0.96, specificity=0.50, positive predictive value=0.60, negative predictive value=0.94, negative likelihood ratio=0.07 to rule out. For early allograft loss, LSM>2.25m/s had c-statistics=0.93, sensitivity=0.76, specificity=0.98, positive predictive value=0.93, negative predictive value=0.91, positive likelihood ratio=33.65 to rule in, while a LSM<1.75m/s had c-statistics=0.93, sensitivity=0.94, specificity=0.94, positive predictive value=0.50, negative predictive value =0.97, negative likelihood ratio=0.09 to rule out. These results were internally validated with the bootstrap method. No methods (Olthof criteria, MELD, MELD-5, MEAF, BAR, biomarkers) performed better than elastography to predict early allograft loss. Elastography performed over the first week after liver transplantation can accurately predict early dysfunction and allograft loss.
Due attention should be paid to persistent trigeminal artery in trigeminal neuralgia
Authors: Sun Tao , Li Chuangfeng , Wang Wentao , Huang Yanxia , He Longshuang , Li Ning , Liu Jinlong , Yang Chao 
Published: August 2022

Abstract
Objectives: Persistent trigeminal artery (PTA) is a rare anastomoses vessel, and also a rarely reported culprit vessel in trigeminal neuralgia (TN). In this study, we aimed to analysis the incidence of PTA in TN.Methods: 297 patients with TN underwent high-resolution 3.0T magnetic resonance imaging (MRI) test between July 2020 and July 2022. The sequences included: axial cerebral TSE T2-weighted imaging, axial cerebral dark fluid T1/T2-weighted imaging, high-resolution T2-weighted SPACE sequences, high-resolution T2-weighted three-dimensional-time of flight magnetic resonance angiography (3D-TOF MRA) sequences. The images were interpreted by one radiologist and one neurosurgical professor. Incidence of PTA in patients with TN was calculated accordingly.Results: In the study, 4 cases of PTA were found in the right side of patients with TN, and 3 cases of the PTA were the culprit vessels of TN, one PTA was on the unaffected side but hardly contact to the trigeminal nerve. The incidence of PTA in TN was 1.35%, furthermore, the incidence of culprit PTA was 1.01%. Conclusions: High-resolution MRI could detect rare culprit vessels of TN, the incidences of PTA and culprit PTA in patient with TN were 1.35% and 1.01% in current study. The important role of PTA should be paid due attentions.
Dkk-1 (Dickkopf-1) level at admission predicts cardiovascular and major bleeding outcomes in patients with acute myocardial infarction
Authors: jiali wang , wu shuo , xu feng , yin xinxin , zhang mei , pang jiaojiao , zhang tao , Zhang Yun , Chew Derek , chen yuguo 
Published: August 2022

Abstract
There has been no evidence about the prognostic significance of Dkk-1 (dickkopf-1) for ischemic cardiovascular and bleeding events in patients with myocardial infarction (MI). We aim to evaluate the prognostic effect of Dkk-1 at admission on 12-month risk of cardiovascular and bleeding outcomes in MI. Here we measured plasma Dkk-1 level centrally in 1364 MI patients from BIPass (BIomarker-based Prognostic Assessment for patients with Stable angina and acute coronary Syndromes) study. Dkk-1 was significantly associated with the increased risk of the composite of cardiac death, MI, and ischemic stroke (HR 1.37, 95% CI: 1.13 -1.66, p = 0.001), and major bleeding (HR 1.81, 95% CI:1.13 - 2.90, p = 0.013) after adjusting for clinical risk factors and prognostic biomarkers (hs-cTnT, NT-proBNP, and cystatin C). We first report that Dkk-1 at admission could predict cardiovascular events and major bleeding during 12-month follow-up after MI.Trial registration: clinicaltrials.gov Identifier: NCT04044066.
The prevention impact of the green algal extract against genetic toxicity and antioxidant enzymes alterations in Mozambique tilapia
Authors: Khalil Wagdy , Bassem Samah , Sabry Noha , Enshasy Hesham El , Temraz Tarek , Guerriero Giulia , Abdel-Gawad Fagr 
Published: August 2022

Abstract
Background: Algal studies are primary for ecological risk assessment and toxicology by evaluating lethal and sub-lethal toxic impacts of potential toxicants on inhabitants of numerous ecosystems. Dunaliella salina, a green marine alga, is characterized by its carotenoid accumulation and is widely used in many health and nutritional products. Our experiment was designed to evaluate algal extract's ability to inhibit genetic alterations induced by mutagen agents such as dioxin in the Mozambique tilapia. The expression of three stress genes was examined: heat shock protein 90 (Hsp90), CYP1A1 as one of the main cytochrome P450 enzymes, and metallothionein (MT). That study exhibited a characteristic sensitivity to metal treatments. Liver samples were collected from all fish to analyze bio-indicators, including superoxide dismutase (SOD), malondialdehyde (MDA) and reactive oxygen species (ROS). While gills samples were used for DNA fragmentation assay.Results show that oxidative stress in the dioxin group's liver significantly changed indicators. However, the dioxin group significantly increased the SOD, MDA enzyme activities and ROS formation.Conclusions: Interestingly, the genes Hsp90, CYP1A1, and MT expression were significantly down-regulated in Dunaliella salina groups. Nevertheless, DNA fragmentation in gill organs was affected by exposure to Dioxin in fish. Thus, we concluded that methanolic extract of an isolated strain Dunaliella salina is effective against mutagen agent dioxin by inhibiting genetic alterations in fish organs and has an antioxidant defense system to conquer oxidative damage.
Effects of Cr stress on bacterial community structure and composition in rhizosphere soils of Iris tectorum
Authors: Zhao Wei , Yang Xiuqing , Xia Guodong , Wang Baichun , Gu Baojing , Zhu sixi 
Published: August 2022

Abstract
Heavy metal Cr pollution caused serious stress to soil bacterial community. However, the joint effects of Cr stress and different cultivation patterns on bacterial communities of rhizosphere soils remain unclear. In this study, Iris tectorum was selected as the research object, and combined with 16S rRNA high-throughput sequencing technology, the effects of high Cr levels and different cultivation patterns on the structure and diversity of rhizosphere soil bacterial community of I. tectorum were analyzed. The results showed that iris had strong tolerance and enrichment to Cr. However, under Cr stress, the diversity and abundance index of rhizosphere bacteria decreased by 8.5% and 6.8% on average, and Sobs index decreased by 7.6%. Moreover, bacterial community changed by 20.1% due to the addition of Cr, further leading to a 15.9% decrease in the common species of the bacterial community, among which Proteobacteria, Actinobacteriota, Chloroflexi and Acidobacteriota accounted for more than 74.8% of the total sequence. The abundance of bacterial community was significantly improved under two-cultivated pattern and three-cultivated pattern. Moreover, the two-cultivated pattern significantly enhanced the synergistic effect among the dominant species, thus improving the rhizosphere soil microenvironment. In conclusion, this study revealed that different cultivation patterns can change the composition and symbiotic relationship of rhizosphere bacterial communities of iris, thus alleviating the negative effects of Cr stress on diversity and abundance. These results provided a reference for understanding the response of rhizosphere bacterial communities under Cr stress under different cultivation modes.
Application of fixed point theorem and Homotopy analysis method to time fractional reaction-diffusion equation with non-singular kernel
Authors: Biswas Swapan , Ghosh Uttam 
Published: August 2022

Abstract
In order to analysis the fractional reaction-diffusion equation or non-homogeneous heat equation , we use Caputo– Fabrizio(CF) fractional derivative. The solution of reaction diffusion equation describes that how the heat propagate in the medium. The existence – uniqueness of the model solution are discussed using the method of fixed point theorem. Finally numerical approximation are performed with the help of Homotopy Analysis Method(HAM). Effect of heat propagation depends on order of the equation and memory of the kernel are shown by comparing the Caputo-Fabrizio and Caputo sense of derivative. Graphical presentations of solution are shown to observe some unusual irregularities of the equation for time fractional derivatives with singular and non-singular kernels.
Multi-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in Scalp and Intracranial EEG
Authors: Peh Wei Yan , Thangavel Prasanth , Yao Yuanyuan , Thomas John , Tan Yee Leng , Dauwels Justin 
Published: August 2022

Abstract
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last several hours or even days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essential. However, developing a patient-independent seizure detector is challenging as seizures exhibit diverse morphologies and characteristics across different patients and recording devices. In this study, we propose a patient-independent seizure detector to automatically detect seizures in both scalp EEG (sEEG) and intracranial EEG (iEEG). First, we deploy a convolutional neural network (CNN) with transformers (TRF) and belief matching (BM) loss to detect seizures in single-channel EEG segments (channel-level detection). Next, we extract regional features from the channel-level outputs to detect seizures in multi-channel EEG segments (segment-level detection). At last, we apply postprocessing filters to the segment-level outputs to determine the start and end points of seizures in multi-channel EEGs (EEG-level detection). We introduce the minimum overlap evaluation scoring (MOES) as an evaluation metric that accounts for minimum overlap between the detection and seizure, improving upon existing assessment metrics. We trained the seizure detector on the Temple University Hospital Seizure (TUH-SZ) sEEG dataset and evaluated it on five other independent sEEG and iEEG datasets. On the TUH-SZ dataset, the proposed patient-independent seizure detector achieves a sensitivity (SEN), precision (PRE), average and median false positive rate per hour (aFPR/h and mFPR/h), and median offset of 0.772, 0.429, 4.425, 0, and -2.125s, respectively. Across all four adult datasets (excluding neonatal and paediatric datasets), we obtained SEN of 0.617-1.00, PRE of 0.534-1.00, aFPR/h of 0.425-2.002, and mFPR/h of 0-1.003. Meanwhile, on neonatal and paediatric datasets, we obtained SEN of 0.227-0.678, PRE of 0.377-0.818, aFPR/h of 0.253-0.421, and mFPR/h of 0.118-0.223. The proposed seizure detector can reliably detect seizures in adult EEGs (to less extent in neonatal EEGs) and takes less than 15s for a 30 minutes EEG. Hence, this system could potentially aid the clinicians in reliably identifying seizures expeditiously, allocating more time for devising proper treatment.
Design and simulation of engineered Josephson parametric amplifier in quantum two-mode squeezed radar
Authors: Norouzi Milad , Hosseiny Seyed M. , Seyed-Yazdi Jamileh , Ghamat Mohammad H. 
Published: August 2022

Abstract
Josephson parametric amplifier (JPA) engineering is a significant component in the quantum two-mode squeezed radar (QTMS), to enhance, for instance, radar performance and the detection range or bandwidth. In this study, we apply quantum theory to a research domain focusing on the simulation of QTMS radar. We simulate a proposal of using engineered JPA (EJPA) to enhance the performance of a QTMS radar. We define the signal-to-noise ratio (SNR) and detection range equations of the QTMS radar. The engineered JPA leads to a remarkable improvement of the quantum radar performance, i.e. a large enhancement in SNR of about 6 dB more than the conventional QTMS radar (with respect to the latest version of QTMS radar, and not to classical radar), a substantial improvement in the probability of detection through far fewer channels. Finally, we simulate signal transmission to target in QTMS radar and achieve a huge increase in QTMS radar range, from half a meter in the conventional JPA to 482 m in the current study.
Deconvolution of Bulk Transcriptomics Data Suggests Changes in Conjunctival Immune Cell Populations in Trachoma
Authors: Barton Amber , Holland Martin 
Published: August 2022

Abstract
Objective: Trachoma, a neglected tropical disease caused by ocular infection with Chlamydia trachomatis, progresses from repeated infections and conjunctivitis to scarring, trichiasis and blindness. It is yet unknown which immune cells are responsible for mediating pathogenesis. Our objective was to deconvolute bulk transcriptomics data in order to estimate how conjunctival immune cell populations change in active and scarring trachoma.
Results: Six deconvolution methods (quanTIseq, TIMER, MCP-counter, xCell, EPIC, and CIBERSORT) were used to estimate the relative abundance of cell populations in five bulk transcriptomic datasets. Cell types from each deconvolution method were mapped to one another using the Immunedeconv R package. In active disease, B cells, neutrophils, natural killer cells, CD4+ T cells and CD8+ T cells were raised (direction of change the same for at least 75% of methods, p<0.05 for at least two methods by logistic regression). B cells and neutrophils were raised in trachomatous scarring and inflammation, while the relative abundance of CD8+ T cells was decreased. In those with scarring and no inflammation, monocyte/macrophages, neutrophils and CD8+ T cells were decreased compared with controls.
A Web-user interface design for mathematical model ofglucose-insulin system
Authors: Minani Frodouard , Harelimana Dominique , Bizimungu Theogene , Ntaganda Jean Marie , Haggar Mahamat Saleh Daoussa 
Published: August 2022

Abstract
This paper aims to present a design of a web-user interface for mathematical model ofglucose-insulin system. Nurses and administrative personnel can confirm the measured pa-rameters entered by Lab technician. These parameters include glucose and insulin concentra-tion in the heart, the liver and tissues. Measured and estimated parameters are stored in thedatabase, the system displays the results evaluated and calculated by the system to serve asa point of reference to allow users making appropriate, and timely decisions. The front end isdesigned to be user friendly and to ease the user's manipulation and the back end which is thehidden part embodies the database that stores measured and estimated parameters as well asthe mathematical model which is programmed to calculate automatically the parameters anddisplays the results finally.
Keywords: Web-user interface, Mathematical model, Glucose-Insulin system, Health subject,Medical Doctor tests