bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of early metoprolol before PCI in ST‐segment elevation myocardial infarction on infarct size and left ventricular ejection fraction. A systematic review and meta‐analysis of clinical trials
Authors: Motawea Karam R. , Gaber Hamed , Singh Ravi B. , Swed Sarya , Elshenawy Salem , Talat Nesreen Elsayed , Elgabrty Nawal , Shoib Sheikh , Wahsh Engy A. , Chébl Pensée , Reyad Sarraa M. , Rozan Samah S. , Aiash Hani 
Published: August 2022

AbstractAimThis meta‐analysis aims to look at the impact of early intravenous Metoprolol in ST‐segment elevation myocardial infarction (STEMI) before percutaneous coronary intervention (PCI) on infarct size, as measured by cardio magnetic resonance (CMR) and left ventricular ejection fraction.MethodsWe searched the following databases: PubMed, Scopus, Cochrane library, and Web of Science. We included only randomized control trials that reported the use of early intravenous Metoprolol in STEMI before PCI on infarct size, as measured by CMR and left ventricular ejection fraction. RevMan software 5.4 was used for performing the analysis.ResultsFollowing a literature search, 340 publications were found. Finally, 18 studies were included for the systematic review, and 8 clinical trials were included in the meta‐analysis after the full‐text screening. At 6 months, the pooled effect revealed a statistically significant association between Metoprolol and increased left ventricular ejection fraction (LVEF) (%) compared to controls (mean difference [MD] = 3.57, [95% confidence interval [CI] = 2.22–4.92], p < .00001), as well as decreased infarcted myocardium(g) compared to controls (MD = −3.84, [95% [CI] = −5.75 to −1.93], p < .0001). At 1 week, the pooled effect revealed a statistically significant association between Metoprolol and increased LVEF (%) compared to controls (MD = 2.98, [95% CI = 1.26−4.69], p = .0007), as well as decreased infarcted myocardium(%) compared to controls (MD = −3.21, [95% CI = −5.24 to −1.18], p = .002).ConclusionA significant decrease in myocardial infarction and increase in LVEF (%) was linked to receiving Metoprolol at 1 week and 6‐month follow‐up.
Intraductal papillary neoplasm of the bile duct: Cytomorphologic and molecular features
Authors: Stendahl Kristin , Gilani Syed M. , Basturk Olca , Hui Pei , Sigel Carlie , Cai Guoping 
Published: August 2022

BackgroundIntraductal papillary neoplasm of the bile duct (IPNB) is a rare premalignant neoplasm that can progress to invasive adenocarcinoma. In this retrospective study, cases of IPNB were reviewed to examine cytomorphologic and molecular features.MethodsIPNB cytology cases with histopathologic confirmation were retrieved from the pathology archives. The cytomorphologic features such as cellularity, architecture, cell type, and cellular details were analyzed.ResultsThe cohort included 13 cases (six brushings, six fine‐needle aspirations [FNA], and one combined brushing and FNA). The lesions involved common bile duct in nine cases (69%) and hepatic duct in four cases (31%). Original cytological diagnoses included adenocarcinoma (five, 38%), suspicious for adenocarcinoma (one, 8%), neoplasm (three, 23%), atypical (three, 23%), and reactive (one, 8%). The cytomorphologic features included moderate/high cellularity (12, 92%), papillary and/or complex papillary architecture (10, 77%), columnar cells (11, 85%), vacuolated cytoplasm (12, 92%), enlarged nuclei (13, 100%), and fine granular chromatin (12, 92%). Background mucin, necrosis and acute inflammation were seen in four (31%), four (31%), and two (15%) cases, respectively. KRAS testing was performed in nine cases with mutant KRAS found in five (56%).ConclusionsOur study demonstrated that IPNB cytology specimens were relatively cellular with a wide spectrum of cytomorphology; however, most cases harbored adenocarcinoma or high‐grade dysplasia. The characteristic cytomorphologic features included papillary/complex papillary clusters of columnar cells with vacuolated cytoplasm, enlarged nuclei, and fine granular chromatin in relatively cellular specimens. KRAS mutations identified may have potential diagnostic and therapeutic implications.
A decentralized and reliable trust measurement for edge computing enabled Internet of Things
Authors: Zhang Shiqiang , Cao Dongzhi , Ning Zhenhu 
Published: August 2022

SummaryThe combination of edge computing (EC) and the Internet of Things is a hot research topic. And security is one of the most important problems to be solved. The trust measurement of devices is an effective way to solve the security problem, and the lack of a unified trust measurement model makes the untrusted devices destroy the quality of service. Establishing a reliable trust relationship between devices can effectively improve the security of the system. A decentralized trust measurement model for devices is proposed. First, a decentralized trust measurement framework is proposed, which combines EC with blockchain technology to establish a decentralized hierarchical structure; second, the credibility of devices is measured from multilevel and multi‐attribute; finally, a feedback trust filtering mechanism is designed to filter reliable feedback information, and then the trust between devices and the comprehensive trust of devices are calculated. Experiments and analysis show that the proposed decentralized trust measurement model can effectively measure the trust degree of devices and resist various malicious feedback attacks.
Performance evaluation of machine learning models for distributed denial of service attack detection using improved feature selection and hyper‐parameter optimization techniques
Authors: Habib Beenish , Khursheed Farida 
Published: August 2022

SummaryThis article gives the framework of extensive experimentation of various machine learning models to detect distributed denial of service attacks (DDoS). We use six‐tier feature ranking methods that use statistical techniques as well as machine learning based classifiers to obtain the significant features. The measurable statistical based feature selection involves Chi‐Square (Chi2), information gain (IG), merged Chi‐Square (Chi2)‐IG ranking and machine learning classifiers involve ensemble classifiers, that is, decision tree, random forest and eXtreme gradient boosting (XGBoost). Different supervised machine learning models (logistic regression, decision tree classifier, linear support vector machine, k‐nearest neighbors, Gaussian Naive Bayes, random forest classifier, XGBoost) are trained on a feature‐engineered datasets. To further our research, we use neural networks (ANN and CNN) using both feature‐selected and auto‐feature selection training setup. We check the validation and adaptability of these models with the optimal tuning of various parameters using GridSearchCV and the effectiveness of random sampling in overcoming the class imbalance problem. Based on various feature selection methods, the models are evaluated for their best performance. The experimental results show that our trained machine learning models and neural networks outperformed the ones in the state of art. The performance analysis is done based on confusion matrix scores, that is, accuracy, false alarm rate, sensitivity, specificity, false‐positive rate, F1 score, area under curve analysis and loss functions on well‐known KDD Cup 99 and UNSW‐NB15 datasets. This study is significant for furthering the research in DDoS detection with machine learning and deep neural networks.
Corporate social responsibility and performance measurement systems inIran: A levers of control perspective
Authors: Asiaei Kaveh , O'Connor Neale G. , Moghaddam Majid , Bontis Nick , Sidhu Jasvinder 
Published: August 2022

AbstractThis study draws on Simons' levers of control model to explore how companies rely on the balanced use of diagnostic and interactive performance measurement systems (PMS) to translate corporate social responsibility (CSR) into superior performance. Data were collected based on a survey data set from 98 CFOs of public listed companies in Iran. The theoretical model was tested using partial least squares structural equation modeling (PLS‐SEM, SmartPLS 3.0), which enjoys minimum demands concerning normality assumptions and sample size. The findings show that CSR is positively associated with PMS and organizational performance. Moreover, CSR is indirectly related to organizational performance through the mediating effect of PMS. This study extends the previous literature by simultaneously incorporating resource orchestration theory in the management accounting and CSR settings. The findings provide further insights into the issue of how adopting proper management control mechanisms (e.g., balanced use of PMS) can support organizations in orchestrating the social, environmental, and economic impacts more effectively.
Recycle and Reuse of Continuous Carbon Fibers from Thermoset Composites Using Joule Heating
Authors: Sarmah Anubhav , Sarikaya Sevketcan , Thiem Jonathan , Upama Shegufta T. , Khalfaoui Aida N. , Dasari Smita Shivraj , Arole Kailash , Hawkins Spencer A. , Naraghi Mohammad , Vashisth Aniruddh , Green Micah J. 
Published: August 2022

AbstractThis study demonstrates a new and sustainable methodology for recycling continuous carbon fibers from end‐of‐life thermoset composite parts using Joule heating. This process addresses the longstanding challenge of efficiently recovering carbon fibers from composite scrap and reusing them to make fresh composites. The conductive carbon fibers volumetrically heat up when an electric current is passed through them, which in turn rapidly heats up the surrounding matrix sufficiently to degrade it. Fibers can be easily separated from the degraded matrix after the direct current (DC) heating process. Fibers reclaimed using this method were characterized to determine their tensile properties and surface chemistry, and compared against both as‐received fibers and fibers recycled using conventional oven pyrolysis. The DC‐ and oven‐recycled fibers yielded similar elastic modulus when compared against as‐received fibers; however, an around 10–15 % drop was observed in the tensile strength of fibers recycled using either method. Surface characterization showed that DC‐recycled fibers and as‐received fibers had similar types of functional groups. To demonstrate the reusability of recycled fibers, composites were fabricated by impregnation with epoxy resin and curing. The mechanical properties of these recycled carbon fiber composites (rCFRCs) were compared against conventional recycling methods, and similar modulus and tensile strength values were obtained. This study establishes DC heating as a scalable out‐of‐oven approach for recycling carbon fibers.
Diverse contribution of amniogenic somatopleural cells to cardiovascular development: With special reference to thyroid vasculature
Authors: Haneda Yuka , Miyagawa‐Tomita Sachiko , Uchijima Yasunobu , Iwase Akiyasu , Asai Rieko , Kohro Takahide , Wada Youichiro , Kurihara Hiroki 
Published: August 2022

AbstractBackgroundThe somatopleure serves as the primordium of the amnion, an extraembryonic membrane surrounding the embryo. Recently, we have reported that amniogenic somatopleural cells (ASCs) not only form the amnion but also migrate into the embryo and differentiate into cardiomyocytes and vascular endothelial cells. However, detailed differentiation processes and final distributions of these intra‐embryonic ASCs (hereafter referred to as iASCs) remain largely unknown.ResultsBy quail‐chick chimera analysis, we here show that iASCs differentiate into various cell types including cardiomyocytes, smooth muscle cells, cardiac interstitial cells, and vascular endothelial cells. In the pharyngeal region, they distribute selectively into the thyroid gland and differentiate into vascular endothelial cells to form intra‐thyroid vasculature. Explant culture experiments indicated sequential requirement of fibroblast growth factor (FGF) and vascular endothelial growth factor (VEGF) signaling for endothelial differentiation of iASCs. Single‐cell transcriptome analysis further revealed heterogeneity and the presence of hemangioblast‐like cell population within ASCs, with a switch from FGF to VEGF receptor gene expression.ConclusionThe present study demonstrates novel roles of ASCss especially in heart and thyroid development. It will provide a novel clue for understanding the cardiovascular development of amniotes from embryological and evolutionary perspectives.
Gold‐dendrimer Nanocomposite Based Electrochemical Sensor for Dopamine
Authors: Sipuka Dimpo S. , Arotiba Omotayo A. , Sebokolodi Tsholofelo I. , Tsekeli Tebogo R. , Nkosi Duduzile 
Published: August 2022

AbstractAn electrochemical sensor for dopamine was developed by electrodepositing poly(propylene imine) (PPI) dendrimer and gold nanoparticles (AuNPs) onto a glassy carbon electrode (GCE). Electrochemical characterisation of the sensor was carried out by cyclic voltammetry and electrochemical impedance spectroscopy in ferri/ferrocyanide electrolyte. The nanocomposite electrode (GCE‐PPI‐AuNPs) showed improved electroactive surface area and electrochemical response over bare GCE. The sensor recorded a detection limit of 0.16 μM over a concentration range of 0.1 μM to 125 μM. The sensor was applied for dopamine detection in human serum samples and in the presence of interfering substances such as ascorbic acid and epinephrine.
Photocatalytic degradation of p‐nitrophenol in wastewater by heterogeneous cobalt supported ZnO nanoparticles: Modeling and optimization using response surface methodology
Authors: Akhtar Adnan , Akram Kalsoom , Aslam Zaheer , Ihsanullah Ihsanullah , Baig Nadeem , Bello Mustapha Mohammed 
Published: August 2022

AbstractIn this work, we investigated the photocatalytic degradation of p‐nitrophenol using a cobalt (Co)‐doped ZnO photocatalyst. The Co‐doped ZnO photocatalyst was first prepared through a simple wet impregnation method and subsequently characterized using various qualitative and quantitative techniques. Response surface methodology (RSM) was employed for experimental design and optimization of photocatalytic process. The effects including initial concentration of 4‐ Nitrophenol [4‐NP]in, catalyst dosage, pH and irradiation time were investigated, and RSM suggested a second‐degree polynomial model for abatement of p‐nitrophenol from aqueous phase. Under optimized conditions (pH = 5; Irradiation time = 180 min; catalyst dosage = 30 mg; [4‐NP]in = 30 mg/L), up to 82% degradation was achieved, signifying the efficacy of the prepared photocatalyst. Moreover, the real case study was employed by incorporating Co‐doped ZnO nanocomposite for treatment of real paper wastewater and results showed a considerable photocatalytic activity of Co–ZnO nanocomposites on paper wastewater.
Free Versus Bound Concentration: Passive Dosing from Polymer Meshes Elucidates Drivers of Toxicity in Aquatic Tests with Benthic Invertebrates
Authors: Fischer Fabian C. , Hiki Kyoshiro , Endo Satoshi 
Published: August 2022

Abstract
Aquatic toxicity tests with benthic organisms are used to predict the toxicity of hydrophobic organic chemicals (HOCs) in sediments, assuming that the freely dissolved concentration (Cfree) is a good surrogate of bioavailability in the exposure system. However, Cfree of HOCs is difficult to control in water-only setups. Moreover, the role of dissolved organic carbon (DOC) in the occurrence of toxicity needs clarification because DOC concentrations in sediment porewater can be substantially higher than in typical test water. We introduced biocompatible polyethylene meshes with high sorptive capacities and fast release kinetics as a novel passive dosing phase, which maintained Cfree and Cwater (i.e., free + DOC-bound) in Hyalella azteca water-only tests. Adding the supernatant fraction of peat to test water as a DOC source increased Cwater to an extent comparable to sediment porewater and significantly increased and decreased the observed toxicity of permethrin and benzo[a]pyrene, respectively, to H. azteca. This result indicates that DOC can both benefit and harm test species likely due to the increased health after ingestion of DOC and to the uptake of DOC-bound HOCs, respectively. Passive dosing in combination with the addition of sediment DOC surrogates may better reflect exposure and habitat conditions in sediment porewater than conventional aquatic tests. Environ Toxicol Chem 2024;43:1747–1756. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Impacts of three‐dimensional array over channel estimation for cell‐free massive MIMO considering spatially correlated channels
Authors: Amadid Jamal , Khabba Asma , El Ouadi Zakaria , Zeroual Abdelouhab 
Published: August 2022

AbstractRecently, a promising technology known as the cell‐free (CF) massive multiple‐input multiple‐output (M‐MIMO) network has emerged as an alternative wireless communication network that offers numerous advantages to wireless communication systems. During this work, we address the uplink (UL) pilot‐based channel estimation (CE) and spectral efficiency (SE) for a CF M‐MIMO network considering spatially correlated channels. The CE and SE are computed respectively, using the Bayesian minimum mean square error (MMSE) estimator and MMSE combining vector. Moreover, we investigate the SE metric and CE procedure for correlated and uncorrelated channels, where in the correlated case, we employ the Gaussian local multi‐scattering (GLMS) model to describe the spatial correlation (SC). Furthermore, since the array geometry influence the SC, we deal with a CF M‐MIMO network wherein each access point (AP) is outfitted either with a uniform linear array (ULA), a uniform circular array (UCA), or a uniform cylindrical array (UCLA). Inspired by the GLMS for the ULA arrangement, we propose the GLMS model for a CF M‐MIMO network where each AP is equipped with a UCA arrangement. In other words, we propose and compute the expression of the channel co‐variance matrix (CM) that describes the SC in a CF M‐MIMO network where each AP is equipped with the UCA arrangement. Additionally, using the Kronecker product of the CM generated through the UCA arrangement and the CM generated through the ULA arrangement, we propose the GLMS model for a CF M‐MIMO network generated through the UCLA arrangement. Our theoretical expressions are validated and reinforced using numerical results, where we evaluate the system performance using the normalized mean square error metric and bits of information per second per hertz (i.e., ).
Brain‐wide versus genome‐wide vulnerability biomarkers for severe mental illnesses
Authors: Kochunov Peter , Ma Yizhou , Hatch Kathryn S. , Gao Si , Jahanshad Neda , Thompson Paul M. , Adhikari Bhim M. , Bruce Heather , Van der vaart Andrew , Goldwaser Eric L. , Sotiras Aris , Kvarta Mark D. , Ma Tianzhou , Chen Shuo , Nichols Thomas E. , Hong L. Elliot 
Published: August 2022

AbstractSevere mental illnesses (SMI), including major depressive (MDD), bipolar (BD), and schizophrenia spectrum (SSD) disorders have multifactorial risk factors and capturing their complex etiopathophysiology in an individual remains challenging. Regional vulnerability index (RVI) was used to measure individual's brain‐wide similarity to the expected SMI patterns derived from meta‐analytical studies. It is analogous to polygenic risk scores (PRS) that measure individual's similarity to genome‐wide patterns in SMI. We hypothesized that RVI is an intermediary phenotype between genome and symptoms and is sensitive to both genetic and environmental risks for SMI. UK Biobank sample of N = 17,053/19,265 M/F (age = 64.8 ± 7.4 years) and an independent sample of SSD patients and controls (N = 115/111 M/F, age = 35.2 ± 13.4) were used to test this hypothesis. UKBB participants with MDD had significantly higher RVI‐MDD (Cohen's d = 0.20, p = 1 × 10−23) and PRS‐MDD (d = 0.17, p = 1 × 10−15) than nonpsychiatric controls. UKBB participants with BD and SSD showed significant elevation in the respective RVIs (d = 0.65 and 0.60; p = 3 × 10−5 and .009, respectively) and PRS (d = 0.57 and 1.34; p = .002 and .002, respectively). Elevated RVI‐SSD were replicated in an independent sample (d = 0.53, p = 5 × 10−5). RVI‐MDD and RVI‐SSD but not RVI‐BD were associated with childhood adversity (p < .01). In nonpsychiatric controls, elevation in RVI and PRS were associated with lower cognitive performance (p < 10−5) in six out of seven domains and showed specificity with disorder‐associated deficits. In summary, the RVI is a novel brain index for SMI and shows similar or better specificity for SMI than PRS, and together they may complement each other in the efforts to characterize the genomic to brain level risks for SMI.
Grafting of Group‐10 Organometallic Complexes on Silicas: Differences and Similarities, Surprises and Rationale
Authors: Gioffrè Domenico , Rochlitz Lukas , Payard Pierre‐Adrien , Yakimov Alexander , Copéret Christophe 
Published: August 2022

AbstractSurface organometallic chemistry (SOMC) represents a unique synthetic platform for the preparation of model heterogeneous catalysts resembling those broadly applied in industry. SOMC techniques usually rely on the grafting of tailored molecular precursors onto the surface OH groups of oxide supports. The development of such precursors and the understanding of their reactivity with the supports are therefore crucial for the development of well‐defined surface species. While a large number of organometallic precursors of early transition metals are known, only few examples of group‐10 metal complexes are reported, in spite of the great interest for heterogeneous catalysts based on the Pt‐group elements. Herein, we report the reactivity of a family of group‐10 (Ni, Pd and Pt) alkyl complexes, towards partially dehydroxylated SiO2 yielding well‐defined supported species. We studied the effect of the metal, ligand, and support on the grafting mechanism of such precursors through a combined experimental and computational approach. Ultimately, we showed that at least two grafting pathways are possible for these compounds, namely the protonolysis of the M‐alkyl bond by surface OH groups and the opening of strained siloxane bridges: the proportion of the two depending on the nature of the metal and its ancillary ligand.
Positive association of serum FUT8 activity with renal tubulointerstitial injury in IgA nephropathy patients
Authors: Yang Ning , Li Long‐kai , He Hui , Guo Xia‐nan , Yuan Xue‐feng , Li Zhi‐tong , Wang Wei‐dong , Qin Biao‐jie , Du Xiang‐ning , Zhang Xu , Chen Shu‐ni , Lin Hong‐li 
Published: August 2022

AbstractBackgroundα‐1,6 Fucosyltransferase (FUT8) appears to play an essential role in the pathogenesis of renal fibrosis. However, it remained unknown whether FUT8 also contributed to renal fibrosis in immunoglobulin A nephropathy (IgAN). In the present study, we explored the association of serum FUT8 activity with renal tubulointerstitial injury in IgAN patients.MethodsSerum FUT8 activity was measured in 135 IgAN patients and 68 healthy controls from January 2016 to December 2018. The relationships of serum FUT8 activity with clinical and pathological features were analyzed.ResultsRelative to healthy controls, IgAN patients had significantly higher serum FUT8 activity and upregulation of renal FUT8 protein (p < .05). Among IgAN patients, there was a positive correlation of serum FUT8 activity with renal FUT8 protein expression (p < .05). Multivariable logistic regression analyses showed that serum FUT8 activity was significantly associated with serum creatinine and eGFR (p < .05). Based on a cut‐off value determined from ROC curve analysis, we divided IgAN patients into a low serum FUT8 activity group (≤12.2 pmol/h/mL, n = 40) and a high serum FUT8 activity group (>12.2 pmol/h/ml, n = 95). The high serum FUT8 activity group had a higher Oxford T score, increased inflammatory cell infiltration, more severe fibrosis and poor renal function (p < .05).ConclusionSerum FUT8 activity was positive association with renal tubulointerstitial injury in IgAN patients.