bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanotechnology for Therapy of Zoonotic Diseases: A Comprehensive Overview
Authors: Arshad Rabia , Sargazi Saman , Fatima Iqra , Mobashar Aisha , Rahdar Abbas , Ajalli Narges , Kyzas George Z. 
Published: June 2022

AbstractZoonotic infections belong to multiple infectious diseases transferred from animals to humans. Now, the treatment and diagnosis of zoonotic infections are perplexing due to genetic mutations, target site modifications, and multi‐drug resistance. Despite their benefits, most diagnostic molecular techniques have certain limits in terms of repeatability and sensitivity, mainly due to the heterogeneity among the diverse family of zoonotic pathogens. Therefore, developing more efficient and cost‐effective theranostics tools is the need of the hour to address these concerns. For this purpose, nanotechnology has revolutionized medicine with versatile potential capabilities for diagnosing and treating zoonosis via the targeted and controlled delivery of antimicrobial drugs via binding to the overexpressed infectious macrophages. Massive advancements have been made in fabricating novel nano‐based formulations to control zoonosis based on the use of poly(ethylenimine)‐conjugated nanomicelles, mannosylated thiolated chitosan (MTC)‐coated PM‐loaded PLGA NPs, mannose linked thiolated nanocarriers, adjuvanted pDNA hydrogel, arginine‐based nanocarriers, quantum dots to treat and diagnose a wide range of zoonotic diseases, including zoonotic influenza, salmonellosis, leishmaniasis, rabies, brucellosis, Lyme Disease, tuberculosis, and other infections caused by West Nile Virus, emerging coronaviruses (SARS, MERS, COVID‐19), in a preferentially targeted way. Recently developed anti‐pathogen loaded‐nanoformulations with enhanced cellular uptake, biocompatibility, and hemocompatibility have shown the ability to cross biological barriers when orally administrated. Therefore, this article reviewed the latest milestones and future growth areas in the field of efficient theranostics platforms to manage zoonotic infections.
High‐performance Mg2+ Sensors Based on Natural Rubber‐derived, Label‐free Carbon Dots
Authors: Phetcharee Kulpriya , Sirisit Natee , Amonpattaratkit Penphitcha , Manyam Jedsada , Paoprasert Peerasak 
Published: June 2022

AbstractDetection of trace magnesium ion (Mg2+) is important in environmental and health monitoring. In this work, high‐performance Mg2+ sensor was developed from label‐free carbon dots. The novel carbon dots were prepared for the first time from natural rubber through the two‐step pyrolysis and hydrothermal method. They showed selectivity towards Mg2+ against a range of metal ions in solution and yielded a detection limit of 4.3 μM. The Mg2+ detection in real water samples showed an excellent recovery of 97.21 to 99.21 %. A paper‐based sensor was also fabricated as a portable device, showing a detection limit of 8.0 μM. UV‐vis and X‐ray absorption studies provided some evidences of the unique dynamic interactions between carbon dots and Mg2+ ions. In summary, the novelty of this work lies upon (i) developing a methodology of converting abundant, low‐cost natural rubber into carbon dots and (ii) fabricating sensitive and selective sensors from the label‐free carbon dots for the detection of Mg2+ both in solution and as paper‐based devices. The findings in this work will therefore have potential for environmental and health monitoring applications.
Impact of value co‐creation in the artificial intelligence innovation ecosystem on competitive advantage and innovation intelligibility
Authors: Sun Yu , Xu Xiaobo , Yu Haiqing , Wang Hecheng 
Published: June 2022

AbstractArtificial intelligence has been widely adopted for digital transformation and value creation for enterprises. However, studies about how participants can co‐create value in the AI innovation ecosystem are needed. Thus, this research proposed a comprehensive research model to examine the impact of value co‐creation in the AI innovation ecosystem for competitive advantage and innovation intelligibility with the mediating effect of dynamic capabilities and innovation capabilities. We collected data from 234 AI‐related manufacturers for the structural equation modelling analysis. Results show that (1) the AI innovation ecosystem can bring economic value and relationship value to enterprises; (2) impacts of economic value and relationship value on competitive advantage and innovation intelligibility are not significant; and (3) value co‐creation does not have a significant impact on competitive advantage and innovation intelligibility, and dynamic capabilities and innovation capabilities play the mediating role. Theoretical contribution, practical implication, limitation, and future research are presented.
From ideas to entrepreneurial opportunity: A study on AI
Authors: Ge Baoshan , Wang Qi , Yao Meifang 
Published: June 2022

AbstractArtificial intelligence technology is applied in numerous fields. Several countries around the world have introduced national policies on artificial intelligence, and the competition for this emerging technology has become an important driving force for industrial development. In recent years, interdisciplinary research on artificial intelligence has made great progress. From the perspective of idea‐driven technology entrepreneurship, we discuss the concept of AI with other emerging technologies. For the early stage of the entrepreneurial process, from idea generation to entrepreneurial opportunity exploitation, we elaborate on the role played by AI. Finally, the future research prospects are proposed.
Dispersive liquid‐liquid microextraction followed by magnetic nanoparticles retrieval of extract for separation and preconcentration of tetracycline from real samples before its selective spectrophotometric determination based on azo dye formation
Authors: Fattahi Bafghi Mohammad Reza , Haji Shabani Ali Mohammad , Dadfarnia Shayessteh , Nozohour Yazdi Mahnaz 
Published: June 2022

AbstractA sensitive and selective method is reported for the determination of the low amount of tetracycline in real samples. The tetracycline is extracted and preconcentrated by dispersive liquid‐liquid microextraction followed by retrieval of the extract with magnetic solid‐phase extraction. The extracted analyte is determined by a selective spectrophotometric method based on the formation of a water‐soluble violet mono azo dye between the tetracycline and diazotized p‐nitroaniline in the basic medium. The dispersive liquid‐liquid microextraction was performed using acetonitrile as the disperser solvent and 1‐octanol as the extracting solvent. The extracted tetracycline in the dispersive liquid‐liquid microextraction step was retrieved by dispersed hydrophobic oleic‐acid‐modified Fe3O4 magnetic nanoparticles. Thus, the method enjoyed the high surface area and strong magnetism properties of these nanoparticles avoiding the time‐consuming centrifugation or column‐passing processes. Finally, the tetracycline was eluted from the magnetic solid phase into 0.5 ml of ethanol, and coupled with diazotized p‐nitroaniline in the basic medium for spectrophotometric quantification. Under the optimum conditions, good linearity (in the range of 7.6–650.0 μg/L with R2 = 0.9987), low detection limit (2.3 μg/L), and preconcentration factor of 30.0 were obtained. The proposed method was successively applied to the determination of tetracycline in different samples.
Covalent Organic Frameworks‐Based Membranes as Promising Modalities from Preparation to Separation Applications: An Overview
Authors: Rasheed Tahir , Khan Sardaraz , Ahmad Tauqir , Ullah Nisar 
Published: June 2022

AbstractCovalent organic frameworks (COFs) are a promising class of porous crystalline materials made up of covalently connected and periodically protracted network topologies through organic linkers. The tailorability of organic linker and intrinsic structures endow COFs with a tunable porosity and structure, low density, facilely‐tailored functionality, and large surface area, attracting increasing amount of interests in variety of research areas of membrane separations. COF‐based membranes have spawned a slew of new research projects, ranging from fabrication methodologies to separation applications. Herein, we tried to emphasis the major developments in the synthetic approaches of COFs based membranes for a variety of separation applications such as, separation of gaseous mixtures, water treatment as well as separation of isomeric and chiral organic compounds. The proposed methods for fabricating COF‐based continuous membranes and columns for real world applications are also thoroughly explored. Finally, a viewpoint on the future directions and remaining challenges for COF research in the area of separation is provided.
Applications of the Reversible Boronic Acids/Boronate Switch to Nucleic Acids
Authors: Debiais Mégane , Vasseur Jean‐Jacques , Smietana Michael 
Published: June 2022

AbstractOver the last decades, boron and nucleic acids chemistries have gained a lot of attention for biological, medicinal and analytical applications. Our laboratory has a long‐standing interest in both chemistries and owing to the ability of boronic acids to react with cis‐diol function in aqueous media we developed over the years a variety of applications ranging from molecular recognition and sensing to the development of reversible dynamic systems in which the natural phosphodiester linkage was replaced by a boronate. In this account, we summarize research results from our group from our preliminary studies on molecular recognition of ribonucleosides to the dynamic assembly of functional DNAzymes. In particular, the various parameters influencing the dynamic nature of these reversible covalent bonds able to respond to external stimuli are discussed. Finally, current challenges and opportunities for boron‐based nucleic acids are also addressed.
Ophthalmic artery Doppler at 11–13 weeks' gestation in prediction of pre‐eclampsia
Authors: Gana N. , Sarno M. , Vieira N. , Wright A. , Charakida M. , Nicolaides K. H. 
Published: June 2022

ABSTRACTObjectivesTo examine the potential value of maternal ophthalmic artery Doppler at 11–13 weeks' gestation, alone and in combination with the established first‐trimester biomarkers of pre‐eclampsia (PE), including uterine artery pulsatility index (UtA‐PI), mean arterial pressure (MAP), serum placental growth factor (PlGF) and serum pregnancy‐associated plasma protein‐A (PAPP‐A), in the prediction of subsequent development of PE.MethodsThis was a prospective observational study in women attending for a routine hospital visit at 11 + 0 to 13 + 6 weeks' gestation. This visit included recording of maternal demographic characteristics and medical history, ultrasound examination for fetal anatomy and growth, assessment of flow velocity waveforms from the maternal ophthalmic arteries and calculation of the second‐to‐first peak systolic velocity (PSV) ratio, and measurement of MAP and serum PAPP‐A. In addition, a case–control study was carried out for measurement of PlGF in stored samples from cases that developed PE and unaffected controls. The values of PSV ratio, UtA‐PI, MAP, PAPP‐A and PlGF were converted to multiples of the median or deltas to remove the effects of maternal characteristics and medical history. The competing‐risks model was used to estimate the individual patient‐specific risk of delivery with PE at < 37 and < 41 + 3 weeks' gestation for various combinations of markers. Performance was assessed using detection rates, at a fixed false‐positive rate (FPR), and areas under the receiver‐operating‐characteristics curves. Modeled performance was also assessed.ResultsThe study population of 4066 pregnancies contained 114 (2.8%) that developed PE, including 25 (0.6%) that delivered with PE at < 37 weeks' gestation. The PSV ratio was significantly increased in PE pregnancies, and the effect of PE depended on gestational age at delivery, with the deviation from normal being greater for early than for late PE. Modeling demonstrated that the addition of PSV ratio improved the detection rate, at a 10% FPR, of preterm PE provided by maternal risk factors alone (from 46.3% to 58.4%), maternal factors, MAP and UtA‐PI (65.9% to 70.6%), and maternal factors, MAP, UtA‐PI and PlGF (74.6% to 76.7%). The PSV ratio did not improve the prediction of term PE provided by any combination of biomarkers.ConclusionOphthalmic artery PSV ratio at 11−13 weeks' gestation is a potentially useful biomarker for prediction of subsequent development of preterm PE, but larger studies are needed to validate this finding. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.
Defining attention from an auditory perspective
Authors: Noyce Abigail L. , Kwasa Jasmine A. C. , Shinn‐Cunningham Barbara G. 
Published: June 2022

AbstractAttention prioritizes certain information at the expense of other information in ways that are similar across vision, audition, and other sensory modalities. It influences how—and even what—information is represented and processed, affecting brain activity at every level. Much of the core research into cognitive and neural mechanisms of attention has used visual tasks. However, the same top‐down, object‐based, and bottom‐up attentional processes shape auditory perception, largely through the same underlying, cognitive networks.This article is categorized under:
Psychology > Attention
Blue‐green infrastructure for climate resilience and urban multifunctionality in Chinese cities
Authors: Siehr Stephanie A. , Sun Minmin , Aranda Nucamendi José Luis 
Published: June 2022

AbstractClimate disruption and rapid urbanization present numerous challenges to infrastructure and communities in Chinese cities, from flooding and coastal erosion, to drought and pollution. This review article focuses on the utilization of Blue‐Green Infrastructure (BGI)—a suite of nature‐based strategies combining hydrological functions (blue) with vegetated landscaping (green)—to provide climate resilience and urban multifunctionality in China's large, high‐density cities. Chinese cities are utilizing BGI in new construction, in neighborhood retrofits, and in revival of ancient nature‐based infrastructure. The literature gives most attention to BGI in China's Sponge City Initiative that addresses the pluvial flooding crisis. Quantitative monitoring of BGI shows progress in stormwater‐related functions and to a lesser extent with rainwater utilization to address water scarcity. Other studies document multifunctional aspects of BGI, including cooling and energy‐saving functions of urban trees and green roofs, and green space expansion with parks that serve as retention basins. However, significant challenges and potential remain. China's urban infrastructure, including BGI, needs stronger design to be robust under extreme conditions as climate disruption intensifies. There is potential for BGI to more fully address habitat fragmentation, extreme heat, sea‐level rise and other climate and urbanization hazards. Further research and pilot projects are needed to characterize and quantify the benefits of multifunctional BGI. More integrated planning across city sectors, with greater incorporation of ecological and social functions, will help Chinese cities achieve multiple goals: providing carbon‐neutral and climate‐resilient infrastructure, improving air and water quality, regenerating ecosystems, and enhancing urban quality of life.This article is categorized under:
Energy and Urban Design > Climate and Environment
Energy and Climate > Systems and Infrastructure
Energy and Urban Design > Systems and Infrastructure
DUNE atmospheric neutrinos: Earth tomography
Authors: Kelly Kevin J. , Machado Pedro A. N. , Martinez-Soler Ivan , Perez-Gonzalez Yuber F. 
Published: June 2022

Abstract
In this paper we show that the DUNE experiment can measure the Earth’s density profile by analyzing atmospheric neutrino oscillations. The crucial feature that enables such measurement is the detailed event reconstruction capability of liquid argon time projection chambers. This allows for studying the sub-GeV atmospheric neutrino component, which bears a rich oscillation phenomenology, strongly dependent on the matter potential sourced by the Earth. We provide a pedagogical discussion of the MSW and parametric resonances and their role in measuring the core and mantle densities. By performing a detailed simulation, accounting for particle reconstruction at DUNE, nuclear physics effects relevant to neutrino-argon interactions and several uncertainties on the atmospheric neutrino flux, we manage to obtain a robust estimate of DUNE’s sensitivity to the Earth matter profile. We find that DUNE can measure the total mass of the Earth at 9.3% precision with an exposure of 400 kton-year. By accounting for previous measurements of the total mass and moment of inertia of the Earth, the core, lower mantle and upper mantle densities can be determined with 9%, 14% and 22% precision, respectively, for the same exposure. Finally, for a low exposure run of 60 kton-year, which would correspond to two far detectors running for three years, we have found that the core density could be measured by DUNE at ∼ 30% precision.
Symmetries at causal boundaries in 2D and 3D gravity
Authors: Adami H. , Mao Pujian , Sheikh-Jabbari M. M. , Taghiloo V. , Yavartanoo H. 
Published: June 2022

Abstract
We study 2d and 3d gravity theories on spacetimes with causal (timelike or null) codimension one boundaries while allowing for variations in the position of the boundary. We construct the corresponding solution phase space and specify boundary degrees freedom by analysing boundary (surface) charges labelling them. We discuss Y and W freedoms and change of slicing in the solution space. For D dimensional case we find D + 1 surface charges, which are generic functions over the causal boundary. We show that there exist solution space slicings in which the charges are integrable. For the 3d case there exists an integrable slicing where charge algebra takes the form of Heisenberg ⊕ $$ \mathcal{A} $$
A
3 where $$ \mathcal{A} $$
A
3 is two copies of Virasoro at Brown-Henneaux central charge for AdS3 gravity and BMS3 for the 3d flat space gravity.
Revisiting the fermionic dark matter absorption on electron target
Authors: Ge Shao-Feng , He Xiao-Gang , Ma Xiao-Dong , Sheng Jie 
Published: June 2022

Abstract
We perform a systematic study of the fermionic DM absorption interactions on electron target in the context of effective field theory. The fermionic DM absorption is not just sensitive to sub-MeV DM with efficient energy release, but also gives a unique signature with clear peak in the electron recoil spectrum whose shape is largely determined by the atomic effects. Fitting with the Xenon1T and PandaX-II data prefers DM mass at mχ = 59 keV and 105 keV, respectively, while the cut-off scale is probed up to around 1 TeV. The DM overproduction in the early Universe, the invisible decay effect on the cosmological evolution, and the visible decay signal collected by the astrophysical X(gamma)-ray observations (Insight-HXMT, NuSTAR, HEAO-1, and INTEGRAL) are thoroughly explored to constrain the DM absorption interactions. With stringent bounds on the tensor and pseudo-scalar operators, the other fermionic DM operators are of particular interest at tonne-scale direct detection experiments such as PandaX-4T, XENONnT, and LZ.
Effects of a new filling technique on the mechanical properties of ABS specimens manufactured by fused deposition modeling
Authors: Hussam Heba , Abdelrhman Yasser , Soliman M.-Emad S. , Hassab-Allah Ibrahim M. 
Published: June 2022

AbstractThe spread of 3D printing in many different fields has become eminent. This paper aims to improve the mechanical properties of parts printed by fused deposition modeling technique. Acrylonitrile butadiene styrene (ABS) specimens are printed with custom printing parameters. These parameters give a tensile strength that is 86% of the injection- molded ABS strength, and give one of the best recorded results for 100% infill printed ABS tensile specimens. Furthermore, a post filling technique has been studied. Specimens are printed with inner voids and different densities using slicing software. Void shape is precisely selected to conform to the filling process. High-strength, low-cost thermoset resin is injected through specimens to fill those voids. A tensile test has been performed after the full curing of the resin. A morphology analysis is done. Using this technique strength to printed weight ratio is improved by 151% and the cost is reduced by 51%.
Geometry modifications of single-lip drills to improve cutting fluid flow
Authors: Baumann Andreas , Oezkaya Ekrem , Biermann Dirk , Eberhard Peter 
Published: June 2022

AbstractFor single-lip drills with small diameters, the cutting fluid is supplied through a kidney-shaped cooling channel inside the tool. In addition to reducing friction, the cutting fluid is also important for the dissipation of heat at the cutting edge and for the chip removal. However, in previous investigations of single-lip drills, it was observed that the fluid remains on the back side of the cutting edge, and accordingly, the cutting edge is insufficiently cooled. In this paper, a simulation-based investigation of an introduced additional drainage flute and flank surface modifications is carried out using smoothed particle hydrodynamics as well as computational fluid dynamics. It is determined that the additionally introduced drainages lead to a slightly changed flow situation, but a significant flow behind the cutting edge and into the drainage flute cannot be achieved due to reasons explained in this paper. Accordingly, not even a much larger drainage flute with unwanted side-effect of a decrease tool strength is able to archive a significant improvement of the flow around the cutting edge. Therefore, major changes to the cooling channel, like the use of two separate channels, the modification of their positions, or modified flank surfaces, are necessary in order to achieve an improvement in lubrication of the cutting edge and heat dissipation.
Aroma profile of a gluten-free barley malt beer crafted to remove gluten using a barley malt extract with high peptidase activity
Authors: Kerpes Roland , Göller Fritz , Kollmannsberger Hubert , Becker Thomas 
Published: June 2022

AbstractGluten-free beer (GFB) was produced from gluten-containing barley malt wort by adding an enzyme-enriched malt extract to the wort, intended for patients with celiac disease. Nevertheless, the aroma profile of such beer is unknown. The results indicated that the treatment reduced 3-methylbutyl acetate, 2-methylbutyl acetate, ethyl hexanoate, 2-methylpropyl acetate, and ethyl butyrate when compared with the reference. Moreover, foam, free amino nitrogen, aging stability, and color deviated significantly in the GFB. Although the values were below the odor threshold, analysis of aging components indicated increased amounts of heating, including 2-furfural and aging indicators, including phenylacetaldehyde. GC-O/MS following a descriptive profile test revealed that the attribute honey significantly increased. Further the shift in aroma composition of the GFB, long-chain free fatty acids (LCFFA) were analyzed, as they have been previously described to negatively correlate with ester metabolism and may be increased because of the technology applied. LCFFA analysis in wort revealed a significant increase in hexadecanoic and linoleic acids caused by the procedure. To clarify the findings, conventional barley malt worts were spiked with hexadecanoic acid, linoleic acid, and a mixture of these acids. A significant decrease in all esters concomitant with a honey-like aroma was observed when linoleic acid was added, but the aging analysis revealed no difference. Through adjustment of ester content to the reference, the spiked beers were less rated honey. The results indicate that aging components are sensed higher in the absence of esters; thus, by reducing LCFFA concentrations of gluten-free wort, the aroma of GFB could be enhanced.