bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of activation energy and chemical reaction on unsteady MHD dissipative Darcy–Forchheimer squeezed flow of Casson fluid over horizontal channel
Authors: Li Shuguang , Raghunath Kodi , Alfaleh Ayman , Ali Farhan , Zaib A. , Khan M. Ijaz , ElDin Sayed M. , Puneeth V. 
Published: February 2023

AbstractThe impact of chemical reaction and activation energy plays a vital role in the analysis of fluid dynamics and its thermal properties. The application of the flow of fluid is significantly considered in nuclear reactors, automobiles, manufacturing setups, electronic appliances etc. This study explores the impacts of activation energy and chemical reaction on the magnetohydrodynamic Darcy–Forchheimer squeezed Casson fluid flow through a porous material across the horizontal channel where the two parallel plates are assumed to be in motion. By using similarity variables, partial differential equations are converted to ordinary differential equations. Numerical method is applied using MATLAB to solve the problems and acquire the data for velocity field, thermal distribution, and concentration distribution. The graphs indicate that fluid velocity and temperature increases as the plates are brought closer. In addition, there was a correlation between a rise in the Hartmann number and a decrease in the fluid's velocity because of the existence of strong Lorentz forces. The temperature and the concentration of the liquid will increase due to the Brownian motion. When the Darcy–Forchheimer and activation energy parameters are both increased, the velocity and concentration decreases.
Characterization of sinoatrial automaticity in Microcebus murinus to study the effect of aging on cardiac activity and the correlation with longevity
Authors: DiFrancesco Mattia L. , Marrot Manon , Torre Eleonora , Mesirca Pietro , Davaze Romain , Lautier Corinne , Fontes Pascaline , Cuoq Joël , Fernandez Anne , Lamb Ned , Pifferi Fabien , Mestre-Francés Nadine , Mangoni Matteo E. , Torrente Angelo G. 
Published: February 2023

AbstractMicrocebus murinus, or gray mouse lemur (GML), is one of the smallest primates known, with a size in between mice and rats. The small size, genetic proximity to humans and prolonged senescence, make this lemur an emerging model for neurodegenerative diseases. For the same reasons, it could help understand how aging affects cardiac activity. Here, we provide the first characterization of sinoatrial (SAN) pacemaker activity and of the effect of aging on GML heart rate (HR). According to GML size, its heartbeat and intrinsic pacemaker frequencies lie in between those of mice and rats. To sustain this fast automaticity the GML SAN expresses funny and Ca2+ currents (If, ICa,L and ICa,T) at densities similar to that of small rodents. SAN automaticity was also responsive to β-adrenergic and cholinergic pharmacological stimulation, showing a consequent shift in the localization of the origin of pacemaker activity. We found that aging causes decrease of basal HR and atrial remodeling in GML. We also estimated that, over 12 years of a lifetime, GML generates about 3 billion heartbeats, thus, as many as humans and three times more than rodents of equivalent size. In addition, we estimated that the high number of heartbeats per lifetime is a characteristic that distinguishes primates from rodents or other eutherian mammals, independently from body size. Thus, cardiac endurance could contribute to the exceptional longevity of GML and other primates, suggesting that GML’s heart sustains a workload comparable to that of humans in a lifetime. In conclusion, despite the fast HR, GML replicates some of the cardiac deficiencies reported in old people, providing a suitable model to study heart rhythm impairment in aging. Moreover, we estimated that, along with humans and other primates, GML presents a remarkable cardiac longevity, enabling longer life span than other mammals of equivalent size.
Studying the connection between SF3B1 and four types of cancer by analyzing networks constructed based on published research
Authors: Samy Asmaa , Ozdemir Mehmet Kemal , Alhajj Reda 
Published: February 2023

AbstractSplicing factor 3B subunit 1 (SF3B1) is the largest component of SF3b protein complex which is involved in the pre-mRNA splicing mechanism. Somatic mutations of SF3B1 were shown to be associated with aberrant splicing, producing abnormal transcripts that drive cancer development and/or prognosis. In this study, we focus on the relationship between SF3B1 and four types of cancer, namely myelodysplastic syndrome (MDS), acute myeloid leukemia (AML), and chronic lymphocytic leukemia (CLL) and breast cancer (BC). For this purpose, we identified from the Pubmed library only articles which mentioned SF3B1 in connection with the investigated types of cancer for the period 2007 to 2018 to reveal how the connection has developed over time. We left out all published articles which mentioned SF3B1 in other contexts. We retrieved the target articles and investigated the association between SF3B1 and the mentioned four types of cancer. For this we utilized some of the publicly available databases to retrieve gene/variant/disease information related to SF3B1. We used the outcome to derive and analyze a variety of complex networks that reflect the correlation between the considered diseases and variants associated with SF3B1. The results achieved based on the analyzed articles and reported in this article illustrated that SF3B1 is associated with hematologic malignancies, such as MDS, AML, and CLL more than BC. We found that different gene networks may be required for investigating the impact of mutant splicing factors on cancer development based on the target cancer type. Additionally, based on the literature analyzed in this study, we highlighted and summarized what other researchers have reported as the set of genes and cellular pathways that are affected by aberrant splicing in cancerous cells.
AcrAB efflux pump impacts on the survival of adherent-invasive Escherichia coli strain LF82 inside macrophages
Authors: Fanelli Giulia , Pasqua Martina , Prosseda Gianni , Grossi Milena , Colonna Bianca 
Published: February 2023

AbstractThe tripartite complex AcrAB-TolC is the major RND pump in Escherichia coli and other Enterobacteriaceae. It consists of the AcrB transporter, which is embedded in the inner membrane, the AcrA adapter located in the periplasm, and the channel protein TolC responsible for the transport of substrates towards the extracellular environment. Besides conferring resistance to many classes of antibiotics, AcrAB plays a role in the pathogenesis and virulence of several bacterial pathogens. Here we report that the AcrAB pump heavily affects the infection process of the LF82 strain, the prototype of Adherent-Invasive Escherichia coli (AIEC) which are highly abundant in the ileal mucosa of Chron disease patients. We found that the deletion of genes encoding AcrA and/or AcrB leads to decreased survival of LF82 within macrophages. Ectopic AcrAB expression in a acrAB defective mutant restores the wild type condition. Furthermore, we demonstrate that inhibition of AcrB and replacement of the transporter with an unfunctional AcrB also interfere with bacterial viability inside macrophages. Overall, these data suggest a pivotal role of the AcrAB efflux pump in bacteria-host cell interactions also in AIEC.
Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and GUI-based application tool Q-Check
Authors: Abd Halim Suhaila , Manurung Yupiter H. P. , Raziq Muhamad Aiman , Low Cheng Yee , Rohmad Muhammad Saufy , Dizon John R. C. , Kachinskyi Vladimir S. 
Published: February 2023

AbstractOptimizing Resistance spot welding, often used as a time and cost-effective process in many industrial sectors, is very time-consuming due to the obscurity inherent within process with numerous interconnected welding parameters. Small changes in values will give effect to the quality of welds which actually can be easily analysed using application tool. Unfortunately, existing software to optimize the parameters are expensive, licensed and inflexible which makes small industries and research centres refused to acquire. In this study, application tool using open-sourced and customized algorithm based on artificial neural networks (ANN) was developed to enable better, fast, cheap and practical predictions of major parameters such as welding time, current and electrode force on tensile shear load bearing capacity (TSLBC) and weld quality classifications (WQC). A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. All the display and calculation processes are developed and compiled in the form of application tool of graphical user interface (GUI). Results showed that this low-cost application tool Q-Check based on ANN models can predict with 80% training and 20% test set on TSLBC with an accuracy of 87.220%, 92.865% and 93.670% for GD, SGD and LM algorithms respectively while on WQC 62.5% for GD and 75% for both SGD and LM. It is also expected that tool with flexible GUI can be widely used and enhanced by practitioner with minimum knowledge in the domain.
Reliability‑based probabilistic numerical plastically limited analysis of reinforced concrete haunched beams
Authors: Khaleel Ibrahim Sarah , Movahedi Rad Majid 
Published: February 2023

AbstractThis research proposes a novel method that considers the optimal reliability-based design of reinforced concrete haunched beams subjected to probabilistic concrete properties and complementary strain energy values. The theory is applied twice, once to evaluate a deterministic solution, where the plastic behaviour is constrained by the complementary strain energy of residual stresses induced within steel bars. Secondly, the same method is considered for a probabilistic solution where the concrete characteristics—compressive strength and modulus of elasticity—and complementary strain energy value vary randomly. The reliability index acts as a bound for the solution. It is important to mention that the model utilised in this publication is derived from recent research after being calibrated using Abaqus. This work represents an extension of that recent research that exclusively considered deterministic work. This research led deterministically to new estimates for the complementary strain energy, which will be interpreted as reflecting the behaviour of plastic thresholds and quantifying the associated loads. Afterwards, uncertainty is studied when probability interferes, showing various load values and damage in concrete and steel when the complementary strain energy and concrete properties are probabilistically evaluated, giving a less reliable solution as the load reduces. These effects are reflected in the varying plastic behaviour of the investigated haunched beams.
Mammalian pumilio proteins control cellular morphology, migration, and adhesion
Authors: Sternburg Erin L. , Lillibridge Jordan J. , Phandthong Rattapol , Karginov Fedor V. 
Published: February 2023

AbstractPumilio proteins are RNA-binding proteins that control mRNA translation and stability by binding to the 3’ UTR of target mRNAs. Mammals have two canonical Pumilio proteins, PUM1 and PUM2, which are known to act in many biological processes, including embryonic development, neurogenesis, cell cycle regulation and genomic stability. Here, we characterized a new role of both PUM1 and PUM2 in regulating cell morphology, migration, and adhesion in T-REx-293 cells, in addition to previously known defects in growth rate. Gene ontology analysis of differentially expressed genes in PUM double knockout (PDKO) cells for both cellular component and biological process showed enrichment in categories related to adhesion and migration. PDKO cells had a collective cell migration rate significantly lower than that of WT cells and displayed changes in actin morphology. In addition, during growth, PDKO cells aggregated into clusters (clumps) due to an inability to escape cell–cell contacts. Addition of extracellular matrix (Matrigel) alleviated the clumping phenotype. Collagen IV (ColIV), a major component of Matrigel, was shown to be the driving force in allowing PDKO cells to monolayer appropriately, however, ColIV protein levels remained unperturbed in PDKO cells. This study characterizes a novel cellular phenotype associated with cellular morphology, migration, and adhesion which can aid in developing better models for PUM function in both developmental processes and disease.
Structure and function of microbial α-l-fucosidases: a mini review
Authors: Wu Haiyang , Owen C. David , Juge Nathalie 
Published: February 2023

Abstract
Fucose is a monosaccharide commonly found in mammalian, insect, microbial and plant glycans. The removal of terminal α-l-fucosyl residues from oligosaccharides and glycoconjugates is catalysed by α-l-fucosidases. To date, glycoside hydrolases (GHs) with exo-fucosidase activity on α-l-fucosylated substrates (EC 3.2.1.51, EC 3.2.1.-) have been reported in the GH29, GH95, GH139, GH141 and GH151 families of the Carbohydrate Active Enzymes (CAZy) database. Microbes generally encode several fucosidases in their genomes, often from more than one GH family, reflecting the high diversity of naturally occuring fucosylated structures they encounter. Functionally characterised microbial α-l-fucosidases have been shown to act on a range of substrates with α-1,2, α-1,3, α-1,4 or α-1,6 fucosylated linkages depending on the GH family and microorganism. Fucosidases show a modular organisation with catalytic domains of GH29 and GH151 displaying a (β/α)8-barrel fold while GH95 and GH141 show a (α/α)6 barrel and parallel β-helix fold, respectively. A number of crystal structures have been solved in complex with ligands, providing structural basis for their substrate specificity. Fucosidases can also be used in transglycosylation reactions to synthesise oligosaccharides. This mini review provides an overview of the enzymatic and structural properties of microbial α-l-fucosidases and some insights into their biological function and biotechnological applications.
The ups and downs of relative particles in German diachrony
Authors: Moser Ann-Marie 
Published: February 2023

Abstract
The aim and scope of this article is to take a closer look at the functions and semantics of the three relative
particles da, so, and wo, and to show that they have developed differently over a period from
1350 to 1800, continuing up to our modern dialects and the standard language. We will focus on wo because it is
the only relativizer which is attested both as locative relative and as general relative clause marker, and we will propose that
wo has extended its functional domain from a locative relative to a general relative marker. We will
furthermore discuss if there has been a grammaticalization path “relative locative > general relative clause marker” in German
diachrony or not. Finally, we will suggest that standardization processes are responsible for the different degrees of functional
extension of wo attested in the historical/modern varieties and the standard language.
A diachronic analysis of Spanish alg- series and n- series items in negated clauses
Authors: Yamada Aaron 
Published: February 2023

Abstract
While previous studies have analyzed the changing nature of polarity items (PIs) in Latin (see Gianollo 2018, 2020) and the licensing conditions of PIs in modern languages (see Homer 2021), less research has analyzed the diachronic behavior of PIs in the development of the Spanish language. The present study takes a quantitative approach to historical corpus data in showing that in older varieties of Spanish, there was an increased degree of competition between items of the alg- series (i.e., alguno ‘some’) and items of the n- series (i.e., ninguno ‘none’) in negated clauses which later decreased as the language entered its modern age. We find that the competition between these items in negated clauses is influenced by factors such as register, the syntactic role of the PI, and activation status (following Larrivée 2012, 2017). These data provide quantitative support for Martins (2000), who suggested that earlier forms of Spanish exhibited more versatile licensing conditions of PIs, and that this variation gradually decreased over time due to a greater salience of the n- series in negated clauses. In total, the present work aims to use corpus data to connect historical linguistic research to theoretical approaches regarding the contemporary usage of PIs.
Study of lead free double perovskites Na2XAgCl6 (X = Ga, In Tl) for solar cells and transport applications
Authors: Zelai Taharh 
Published: February 2023

Abstract
The double perovskites are rich merchant to harvest energy from solar cells and thermoelectric generators to cover up its shortfall. Therefore, in this article, the electronic, optical, and thermoelectric characteristics of Na2XAgCl6 (X = Ga, In Tl) are briefly elaborated. The tolerance and octahedral factors are calculated for structural stability and formations energy for thermodynamically existence. The band structures are show the tuning of band gap from 2.57 eV to 1.30 eV by the changing cations from Ga to Tl. The density of states shows the p-d hybridization among X, Ag and Cl ions is responsible for decreasing band gap. The optical analysis in terms of dielectric constant, absorption and other dependent parameters illustrate broad absorption bands in ultraviolet region (Ga, In) and in visible region (Tl). The shifting of absorption zone to visible region increase their potential for solar cells. Thermoelectric calculations have been performed to evaluate the electrical conductivity, Seebeck coefficient, and thermal conductivity by BoltzTraP code. The large figure of merit and extremely small lattice thermal conductivity at room temperature also make them important for thermoelectric generators fabrication to harvest heat energy.
Complex dynamics of a heterogeneous network of Hindmarsh-Rose neurons
Authors: Njitacke Zeric Tabekoueng , Muni Sishu Shankar , Seth Soumyajit , Awrejcewicz Jan , Kengne Jacques 
Published: February 2023

Abstract
This contribution is devoted to the study of the collective behavior of two HR neurons followed by a network of HR neurons. The collective behavior of the two coupled neuron was obtained from the connection between the traditional 3D HR and a memristive 2D HR neuron via a gap junction. The dynamical properties of this first topology revealed that it is dissipative therefore can support complex phenomena. From numerical simulations, it is found that the coupled neurons display a variety of behaviors just by varying the control parameter. Amongst these behaviors found, we have periodic bursting or spiking, quasi-periodic bursting or spiking, and chaotic bursting or spiking. Non-synchronized motion is observed when the electrical coupling strength is weak. However, synchronized cluster states are observed when the coupling strength is increased. Also varied of cross ring networks made of combination of N = 100 these different HR neurons in the network are also investigated. It is discovered that the spatiotemporal patterns are affected by the network topology. The cluster states are represented in the non- homogenous network’s ring and star structures. The ring and ring-star structures contain single and double-well chimera states. Finally, in the PSIM simulation environment, a comparable electronic circuit for the two coupled heterogeneous neurons is designed and investigated. The results obtained from the designed analog circuit and the mathematical model of the two coupled neurons match perfectly.
>10 kW peak power self-frequency doubling laser
Authors: Zhao Chuanrui , Yu Pingzhang , Wang Zhengping , Liu Yanqing , Yu Fapeng , Xu Xinguang 
Published: February 2023

Abstract
A passively Q-switched self-frequency doubling (SFD) green laser based on quasi-continuous diode-pumped and Nd:Ca3TaGa3Si2O14 crystal was developed for the first time with Cr4+:Y3Al5O12 as the saturation absorber. The output wavelength was 533 nm and the maximum average output power was 57 mW, corresponding to single pulse energy, pulse duration, and peak power of 190 μJ, 14.35 ns, and 13.24 kW, respectively. To our knowledge, this is the best result of diode-pumped, pulsed SFD lasers to date. Its compact components and low cost provide a better way to obtain an all-solid-state, miniaturized green laser with high peak power.
Optimisation criteria for the process electron beam lithography of negative AR-N7520 resists
Authors: Koleva E , Kostic I , Andok R , Vutova K , Bencurova A , Konecnikova A 
Published: February 2023

Abstract
Experimental investigation of negative electron resist AR-N 7520 profiles using an electron beam lithography system ZBA23 (Raith) is performed at variation of the exposure doses and the exposure patterns. The form of the obtained after the exposure resist profiles is investigated and optimized. Artificial neural networks for the dependence of the overall geometry of the obtained resist profiles on process parameters are trained, tested and validated. Several overall geometry quality criteria for the shape of the developed resist profile cross-sections are defined. An approach, based on the defined overall quality characteristics and multicriterial parameter optimization, is proposed and implemented for fulfillment of the technological requirements for the produced resist profile dimensions.
Climate change on extreme winds already affects off-shore wind power availability in Europe
Authors: Rapella Lia , Faranda Davide , Gaetani Marco , Drobinski Philippe , Ginesta Mireia 
Published: February 2023

Abstract
Off-shore wind energy in Europe plays a key role in the transition to renewable energy, and its usage is expected to increase in the next few decades. According to the working regimes of a wind turbine, wind energy production can be disrupted by extreme atmospheric events related to low wind speed below the cut-in wind speed and high wind speed above the cut-out wind speed. The purpose of this work is to estimate the behavior of extreme winds on the European panorama, over the period 1950–2020, in order to investigate the large-scale weather regimes related to them and their impact on off-shore wind energy availability. We detected significant changes in the frequency of high and low extreme wind events, proving that climate change or long-term internal climate variability have already affected the off-shore wind power output. Moreover, the analysis of weather regimes showed that high and low extreme wind events can occur simultaneously over Europe. Our results suggest the necessity to implement efficient European energy management policies, to minimize the deficit in wind power supply.