bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the potential of late permian aggregate resources for utilization in engineering structures through geotechnical, geochemical and petrographic analyses
Authors: Hussain Javid , Zhang Jiaming , Iqbal Syed Muhammad , Hussain Jabir , Fitria Fitriani , Lina Xiao , Ali Nafees , Hussain Sartaj , Akram Waseem , Ali Mubasir 
Published: March 2023

AbstractThe China-Pakistan Economic Corridor (CPEC) is an ongoing mega-construction project in Pakistan that necessitates further exploration of new natural resources of aggregate to facilitate the extensive construction. Therefore, the Late Permian strata of Chhidru and Wargal Limestone for aggregates resources were envisaged to evaluate their optimal way of construction usage through detailed geotechnical, geochemical, and petrographic analyses. Geotechnical analysis was performed under BS and ASTM standards with the help of employing different laboratory tests. A simple regression analysis was employed to ascertain mutual correlations between physical parameters. Based on the petrographic analysis, the Wargal Limestone is classified into mudstones and wackestone, and Chhidru Formation is categorized into wackestone and floatstone microfacies, both containing primary constituents of calcite and bioclasts. The geochemical analysis revealed that the Wargal Limestone and Chhidru Formation encompass calcium oxide (CaO) as the dominant mineral content. These analyses also depicted that the Wargal Limestone aggregates bear no vulnerability to alkali-aggregate reactions (AAR), whereas the Chhidru Formation tends to be susceptible to AAR and deleterious. Moreover, the coefficient of determination and strength characteristics, for instance, unconfined compressive strength and point load test were found inversely associated with bioclast concentrations and directly linked to calcite contents. Based on the geotechnical, petrographic, and geochemical analyses, the Wargal Limestone proved to be a significant potential source for both small and large-scale construction projects, such as CPEC, but the Chhidru Formation aggregates should be used with extra caution due to high silica content.
A glucose tolerant β-glucosidase from a newly isolated Neofusicoccum parvum strain F7: production, purification, and characterization
Authors: Singh Nivisti , Sithole Bruce , Kumar Ajit , Govinden Roshini 
Published: March 2023

AbstractCellulase-producing microorganisms produce low titres of β-glucosidases with low tolerance to glucose. This study aimed to improve production, purify, and characterize a β-glucosidase from a newly isolated Neofusicoccum parvum strain F7. β-Glucosidase production was significantly enhanced by a sequential statistical modelling approach from 1.5-fold in Plackett–Burman design to 2.5 U/ml in the Box–Behnken design compared to the preliminary one variable at a time experiments (1.6 U/ml). The optimal conditions for enzyme production by BBD were 12 days of fermentation at 20 °C, 175 rpm, 0.5% glycerol and 1.5% casein in pH 6.0 buffer. Three β-glucosidase isoforms referred to as Bgl1, Bgl2, Bgl3 were purified and characterized from the optimized crude extract displaying IC50 values of 2.6, 22.6 and 319.5 mM for glucose, respectively. Bgl3 with a molecular mass of approximately 65 kDa demonstrated the highest tolerance to glucose among the isoforms. The optimum activity and stability for Bgl3 was observed at pH 4.0 in 50 mM sodium acetate buffer with 80% β-glucosidase residual activity retained for three hours. This isoform also retained 60% residual activity at 65 °C for one hour which was then reduced to 40% which remained stable for another 90 min. The β-glucosidase activity of Bgl3 was not enhanced after the addition of metal ions in assay buffers. The Km and vmax for 4-nitrophenyl-β-d-glucopyranoside were 1.18 mM and 28.08 µmol/min, respectively indicating high affinity for the substrate. The ability to withstand the presence of glucose in conjunction with its thermophilic nature indicates promise for this enzyme in industrial application.
Structure of choline chloride-carboxylic acid deep eutectic solvents by wide-angle X-ray scattering and DFT calculations
Authors: Chai Keke , Zhou Yongquan , Lu Xingmei , Yamaguchi Toshio , Ohara Koji , Liu Hongyan , Zhu Fayan 
Published: March 2023

Choline possesses agaucheconfiguration in choline chloride-carboxylic acid DESs. DESs are stabilized by hydrogen bonds and carbon–hydrogen bonds. Cl− plays an important role in maintaining the structural stability of DESs.
Energy efficient power allocation for ultra‐reliable and low‐latency communications via unsupervised learning
Authors: Zhao Haitao , Xu Bangning , Huang Hao , Wang Qin , Zhu Chun , Gui Guan 
Published: March 2023

AbstractEnergy efficiency (EE) is an important indicator in ultra‐reliable and low‐latency communication (URLLC). Power allocation is considered as an effective method to achieve high EE in URLLC. However, since the EE optimization problem is non‐convex, it is difficult to obtain the analytical solution efficiently. Moreover, to ensure reliable and low‐latency communication within a finite blocklength, the Shannon formula becomes impractical for URLLC. Therefore, finite blocklength coding theory is used to meet the requirements of URLLC. In this paper, the EE problem of URLLC is formulated and the power allocation function is parameterized to be optimized through a deep neural network (DNN). The DNN is trained through the primal‐dual iterative algorithm offline in the unsupervised manner, and can be deployed online to achieve real time power allocation results. The numerical results show the effectiveness of the proposed method.
Bedeutung der Umwelt – Luftverschmutzung, Lärm und Hitze als kardiovaskuläre Risikofaktoren
Authors: Münzel Thomas , Daiber Andreas , Hahad Omar 
Published: March 2023

ZusammenfassungLuftverschmutzung, Verkehrslärm und Hitzewellen sind umweltbedingte Gesundheitsrisikofaktoren, die häufig in urbanen Räumen kolokalisiert sind. Diese Risikofaktoren können singulär oder in
Interaktion auftreten und wirken und sind vor allem für kardiovaskuläre und zerebrale gesundheitliche Nebenwirkungen verantwortlich. Bekannt ist, dass diese Umweltstressoren eine
endotheliale Dysfunktion, oxidativen Stress, Gefäßentzündungen und die Aktivierung des autonomen Nervensystems verursachen können und darüber vermittelt die Entwicklung von
kardiometabolischen und zerebralen Erkrankungen fördern. Die vorliegende Übersichtsarbeit diskutiert die pathophysiologischen Mechanismen umweltbedingter Erkrankungen sowie den Effekt
präventiver Maßnahmen für das Herz-Kreislauf-Risiko. Ein erhöhtes Bewusstsein für die Belastung der öffentlichen Gesundheit durch diese Umweltrisikofaktoren und die Integration dieser
Erkenntnisse in medizinischen Leitlinien können dazu beitragen, die Anstrengungen zu intensivieren, das Ausmaß von Luftverschmutzung, Lärm und Hitzewellen gesetzlich zu limitieren.
Hypoxische, anämische und kardial bedingte Hypoxämie: Wann beginnt die Hypoxie im Gewebe?
Authors: Köhler Dieter , Voshaar Thomas , Stais Patrick , Haidl Peter , Dellweg Dominic 
Published: March 2023

ZusammenfassungBei einer Hypoxämie ist oft der Sauerstoffgehalt noch im unteren Normbereich, sodass keine
Hypoxie im Gewebe vorliegt. Wird die Hypoxie-Schwelle im Gewebe bei einer hypoxisch, anämisch
und auch kardial bedingten Hypoxämie erreicht, kommt es im Zellstoffwechsel, unabhängig von
der Genese, zu identischen Gegenregulationen. Im klinischen Alltag wird diese
pathophysiologische Tatsache mitunter ignoriert, obwohl je nach Hypoxämie-Ursache die
Beurteilung und die Therapie stark unterschiedlich sind. Während für die anämische Hypoxämie
restriktive und allgemein akzeptierte Regeln in den Transfusionsrichtlinien festgelegt sind,
wird bei einer hypoxischen Hypoxie früh die Indikation zu einer meist invasiven Beatmung
gestellt. Die klinische Beurteilung und Indikationsstellung fokussiert dabei auf die Parameter
Sauerstoffsättigung, Sauerstoffpartialdruck und Oxygenierungsindex. Während der
Corona-Pandemie sind Fehlinterpretationen der Pathophysiologie sichtbar geworden und haben
vermutlich zu überflüssigen Intubationen geführt. Für die Behandlung einer hypoxischen Hypoxie
mittels invasiver Beatmung aber gibt es keine Evidenz. Im vorliegenden Review wird auf die
Pathophysiologie der verschiedenen Hypoxieursachen unter besonderer Berücksichtigung der
Intubation und Beatmung auf der Intensivstation eingegangen.
Epidemiology and Clinical Features of COVID-19 among 4,015 Neonates in Iran: Results of the National Study from the Iranian Maternal and Neonatal Network
Authors: Schwartz David A. , Mohagheghi Parisa , Moshfegh Fereshteh , Zafaranloo Nazanin , Khalili Narjes , Heidarzadeh Mohammad , Habibelahi Abbas , Ghafoury Roya , Afrashteh Fatemeh 
Published: March 2023

Objective The coronavirus disease 2019 (COVID-19) pandemic had a significant impact on pregnant women and neonates in Iran. This retrospective study describes the national experience among neonates having suspected and confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection following hospital admission to examine the epidemiology, demographic, and clinical features.
Study Design All nationwide cases of suspected and confirmed neonatal SARS-CoV-2 infection were drawn from the Iranian Maternal and Neonatal Network (IMaN) between February 2020 and February 2021. IMaN registers demographic, maternal, and neonatal health data throughout Iran. Statistical analysis of demographic, epidemiological, and clinical data were performed.
Results There were 4,015 liveborn neonates having suspected or confirmed SARS-CoV-2 infection that fulfilled the study inclusion criteria identified in the IMaN registry from 187 hospitals throughout Iran. There were 1,392 (34.6%) neonates that were preterm, including 304 (7.6%) less than 32 weeks' gestation. Among the 2,567 newborns admitted to the hospital immediately after birth, the most common clinical problems were respiratory distress (1,095 cases; 42.6%), sepsis-like syndrome (355; 13.8%), and cyanosis (300 cases; 11.6%). Of 683 neonates transferred from another hospital, the most frequent problems were respiratory distress (388; 56.8%), sepsis-like syndrome (152; 22.2%), and cyanosis (134; 19.6%). Among 765 neonates discharged home after birth and subsequently admitted to the hospital, sepsis-like syndrome (244 cases; 31.8%), fever (210; 27.4%), and respiratory distress (185; 24.1%) were most frequent. A total of 2,331 (58%) of neonates required respiratory care, with 2,044 surviving and 287 having a neonatal death. Approximately 55% of surviving neonates received respiratory support, compared with 97% of neonates who expired. Laboratory abnormalities included elevations of white blood cell count, creatine phosphokinase, liver enzymes, and C-reactive protein.
Conclusion This report adds the national experience of Iran to the list of reports from multiple countries describing their experience with COVID-19 in neonates, demonstrating that newborns are not exempt from COVID-19-morbidity and mortality.
Key Points
Reductive Coupling of Sodium Sulfinates for the Synthesis of Thiosulfonates
Authors: Cheng Xiya , Zhang Mengxuan , Qiu Guanyinsheng , Zheng Danqing 
Published: March 2023

AbstractA reductive coupling reaction of sodium sulfinates for the synthesis of symmetrical/unsymmetrical thiosulfonates is developed. The reaction takes place in the presence of acetyl chloride and Hantzsch ester under mild conditions and exhibits broad functional group tolerance. Mechanistic studies suggest that a radical process is involved.
A Unified Approach to Mono- and 2,3-Disubstituted N–H Indoles
Authors: Cha Jin Kun , Kim Young Gyu , Kim Ju Hee , Lee Sun A , Jeon Tae Sik 
Published: March 2023

AbstractA unified approach to mono- and disubstituted N–H indoles is described by means of oxidative cyclization of 2-alkenyl anilines, which are prepared by cross-coupling of the corresponding o-bromoanilines. This procedure is operationally expedient and tolerant of common functional groups to allow regiospecific installation of the alkyl and aryl substituents.
Traumatic Supraclinoid Internal Carotid Artery Pseudoaneurysm associated with Carotid-Cavernous Fistula and Contralateral Anterior Cerebral Artery Pseudoaneurysm Treated by Surgical Trapping with High-Flow Bypass and A3-A3 Bypass: A Case Report and Literature Review
Authors: Duangprasert Gahn , Sukhor Sasikan , Kaewprasert Thanapum , Tantongtip Dilok 
Published: March 2023

AbstractTraumatic pseudoaneurysms of the supraclinoid internal carotid artery (ICA) are uncommon, particularly associated with carotid-cavernous fistulas (CCF) or multiple traumatic aneurysms. This report describes a patient with a ruptured left ICA dissecting pseudoaneurysm that caused a direct CCF and a right anterior cerebral artery (ACA) pseudoaneurysm. To eliminate the aneurysm and fistula, we followed the universal bypass strategy by performing an ICA trapping with high-flow bypass, followed by an ACA trapping with A3-A3 side-to-side bypass. Herein, we report the first successful surgical trapping and revascularization of supraclinoid ICA pseudoaneurysm associated with a direct carotid-cavernous fistula.
Incidence of Myocarditis Associated with Diphtheria, Tetanus, and Pertussis Vaccine: A Rare Case Series
Authors: Iqbal Mohammad , Febrianora Mega , Putra Iwan Cahyo Santosa , Pramudyo Miftah , Achmad Chaerul 
Published: March 2023

AbstractMyocarditis induced by diphtheria–tetanus–pertussis (DTP) vaccination is extremely rare, accounting for only two cases thus far. Hence, to supplement knowledge regarding its pathogenesis and treatment, we reported two cases of myocarditis associated with DTP vaccination in adults.Two patients (a 40-year-old female and a 43-year-old male) presented with mild symptoms and were hemodynamically stable. In both patients, the DTP vaccination was given 4 and 6 days before admission. Both patients had prolonged corrected QT interval (QTc), poor left ventricular function, and high troponin levels at admission. However, numerous ST segment depression was only noted in the first case. Bacteriology and virology study results were negative for any pathogen. No atherosclerotic lesions were observed by coronary angiography. Cardiac magnetic resonance imaging was only performed in the second case, which confirmed the diagnosis of myocarditis. Initial therapy was administered with a beta-blocker, angiotensin-converting enzyme inhibitor, and intravenous methylprednisolone. Nonetheless, in the first case, rapid clinical deterioration and sudden cardiac death occur within 3 days of hospitalization. Learn from the first case, a high-dose intravenous immunoglobulin (IVIG) treatment was initiated in the second case, which resulted in an improvement in left ventricular function and clinical symptoms, as well as a significant reduction in QTc interval and troponin levels.Rapid diagnostic testing and early recognition of the fulminant course is mandatory, allowing clinicians to aggressively treat the patient with high-dose intravenous immune globulin, thus obtaining a better outcome.
A precision-drive hysteresis model with an equal-density weight function for GMA feedforward compensation
Authors: Xiao Kun , Wang Zhiwen , Wang Hongyuan , Sun Jie , Zheng Yelong , Huang Yinguo 
Published: March 2023

Giant magnetostrictive actuators (GMAs) are a widely used type of micro-nano actuator, and they are greatly significant in the field of precision engineering. The accuracy of a GMA often depends on its hysteresis model. However, existing models have some limitations, including the difficulty of identifying their parameters and the tradeoff between the quantity of modeling data required and the level of precision achieved. To solve these problems, in this paper, we propose a Preisach inverse model based on equal-density segmentation of the weight function (E-Preisach). The weight function used to calculate the displacement is first discretized. Then, to obtain a finer weight distribution, the discretized geometric units are uniformly divided by area. This can further minimize the output displacement span, and it produces a higher-precision hysteresis model. The process of parameter identification is made easier by this approach, which also resolves the difficulty of obtaining high precision using a small amount of modeling data. The Preisach and the E-Preisach inverse models were investigated and compared using experiments. At frequencies of 1 and 5 Hz, it was found that the E-Preisach inverse model decreases the maximum error of the feedforward compensation open-loop control to within 1 µm and decreases the root-mean-square error in displacement to within 0.5 µm without the need to increase the number of measured hysteresis loops. As a result, the E-Preisach inverse model streamlines the structure of the model and requires fewer parameters for modeling. This provides a high-precision modeling method using a small amount of modeling data; it will have applications in precision engineering fields such as active vibration damping and ultra-precision machining.
Language typology as a discursive affordance in digital discourse
Authors: Borowski Krzysztof E. 
Published: March 2023

Abstract
With the rapid development of participatory social media, these spaces have become new arenas for producing political discourse. However, critical analyses of digital discourse that examine the importance of language typological variation for the (re)production of political discourse are relatively new. This chapter investigates linguistic creativity in non-elite political communication by combining a critical discursive approach with language typology. The analysis highlights the importance of language typology in political communication as political actors exploit the typological affordances of Polish. This chapter demonstrates how language affordances are mobilised for political reasons to (re)produce discriminatory political messages. The chapter suggests combining critical discourse analysis and language typology to reveal novel perspectives on the intersection of language and politics on the Internet.
A journal of impossible things
Authors: Pruden Meredith L. 
Published: March 2023

Abstract
In 2017, the cult programme Doctor Who announced its Thirteenth Doctor – classically trained Jodie Whittaker. This new regeneration (i.e., recasting) of an iconic, and consummately upper crust, British character follows twelve white male Doctors into the bigger-on-the-inside blue police box to traverse space and time saving the Whoniverse. Fans have always viewed new Doctors with scepticism, but this new female Doctor seemed impossible for fans. Was this impossibility a rupture with Whovian lore or a reflection of heteropatriarchal social norms? This chapter takes a feminist media and fan studies perspective and employs social media critical discourse analysis to examine the #NotMyDoctor hashtag that trended on Twitter following the announcement. It finds three themes: trolling the haters, the anti-PC police, and a Whovian cult of true womanhood.
Recent Advances in Breeding Maize for Drought, Heat and Combined Heat and Drought Stress Tolerance in Sub-Saharan Africa
Authors: Badu-Apraku Baffour , Fakorede Morakinyo A.B. , Nelimor Charles , Osuman Alimatu S. , Bonkoungou Tégawendé O. , Muhyideen Oyekunle , Akinwale Richard O. 
Published: March 2023

Abstract

Drought, heat, and combined drought and heat are important abiotic stresses constraining the production and productivity of maize (
Zea mays
L.) in sub-Saharan Africa (SSA). In the face of climate change, these stresses are likely to occur simultaneously and put at risk food and economic security in SSA. This review describes maize breeding activities conducted by the International Institute of Tropical Agriculture (IITA) in partnership with national scientists under the Drought Tolerant Maize for Africa (DTMA) and Stress Tolerant Maize for Africa (STMA) projects, which together sought to develop and deploy multiple stress tolerant hybrids, and open-pollinated varieties. Emphasis was on (i) developing a reliable methodology for screening maize for tolerance to drought stress (DS), heat stress (HS), and combined drought and heat stress (CDHS) using key secondary traits and grain yield, (ii) use of appropriate breeding techniques for tailoring maize for tolerance to DS, HS and CDHS, (iii) exploring diverse sources of germplasm for genetic enhancement of maize, (iv) extensive multilocational evaluation to identify genotypes with stable performance under the stresses, and (v) application of genomic tools to accelerate genetic gains in maize breeding at IITA. At IITA, the performance of maize hybrids under stresses of DS, HS and CDHS have been improved using conventional breeding techniques/procedures. These techniques/ procedures have led to accelerated genetic gains in yield that were 26–49% higher than the best commercial hybrid checks under CDHS and DS. Additive gene action has been consistently found to be more important than the non-additive among early maize under DS and CDHS while both the additive and non-additive have been reported to be important for the extra-early maize. The most reliable secondary traits for selecting for improved grain yield under the stresses include anthesis-silking interval, ears per plant, and plant and ear aspects. Several early and extra-early landraces have been identified as potential sources of tolerance to DS, HS, and CDHS. Several quantitative trait loci (QTLs) associated with grain yield and key secondary traits have been identified
via
genome-wide association studies in landraces and inbred lines. Those desirable QTLs, upon validation, could be invaluable for genomics-enabled breeding.
Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN)
Authors: Cachia Mayeul , Stergiopoulou Vasiliki , Calatroni Luca , Schaub Sebastien , Blanc-Féraud Laure 
Published: March 2023

Abstract
We propose FluoGAN, an unsupervised hybrid approach combining the physical modelling of fluorescence microscopy timelapse acquisitions with a generative adversarial learning procedure for the problem of image deconvolution. Differently from standard approaches combining a least-square data term based on one (long-time exposure) image with sparsity-promoting regularisation terms, FluoGAN relies on a data term being the distributional distance between the fluctuating observed timelapse (short-time exposure images) and the generative model. Such distance is computed by adversarial training of two competing architectures: a physics-inspired generator simulating the fluctuating behaviour as a Poisson process of the observed images combined with blur and undersampling, and a standard convolutional discriminator network. FluoGAN is a fully unsupervised approach requiring only a fluctuating sequence of blurred, undersampled and noisy images of the sample of interest as input. It can be complemented with prior knowledge on the desired solution such as sparsity, non-negativity etc. After having described the main ideas behind FluoGAN, we formulate the corresponding optimisation problem and report several results on simulated and real phantoms used by microscopy engineers to quantitatively assess spatial resolution. The comparison of FluoGAN with state-of-the-art methodologies shows improved resolution, allowing for high-precision reconstructions of fine structures in challenging real Ostreopsis cf Ovata data. The FluoGAN code is available at: https://github.com/cmayeul/FluoGAN.