bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theticity and sentence-focus in Italian: grammatically encoded categories or categories of language use?
Authors: Belligh Thomas , Crocco Claudia 
Published: April 2022

AbstractThis article aims to examine whether Italian has theticity and sentence-focus among its grammatically encoded categories. After the categories of theticity and sentence-focus are introduced, the concepts of grammatically encoded category and category of language use are operationalized along the lines of Integral Linguistics. For a functional category to qualify as a grammatically encoded category of a language, the language should have at least one construction that structurally encodes the category as its indefeasible semantics. The article provides a qualitative investigation of both corpus-based and constructed examples of the eight Italian sentential structures that have hitherto been recognized in the literature as thetic or sentence-focus constructions. It is shown that each of the constructions has information structural uses that are incompatible with a structurally encoded theticity or sentence-focus semantics, i.e., topic-comment structure and narrow focus construal. It is argued that theticity and sentence-focus are therefore categories of language use rather than grammatically encoded categories of Italian.
Repeated partial splenic artery embolization for hypersplenism improves platelet count
Authors: Tan Youwen , Wang Jiamin , Sun Li , Ye Yun 
Published: April 2022

Abstract
Splenic embolization is a minimally invasive alternative to splenectomy for the treatment of hypersplenism. This was a retrospective study of 101 patients with hypersplenism caused by cirrhosis who were treated with splenic embolization and for whom 6 months of follow-up data were available. Of these patients, 65 underwent partial splenic artery embolization (PSE), including 23 who underwent repeated PSE (RPSE). The incidence of abdominal pain was significantly higher in the PSE group than in the total splenic artery embolization (TSE) group (P < 0.001), and its duration was also longer in the PSE group (P = 0.003). Biochemical markers of liver function were compared before and after the operation; aminotransferase indices decreased (alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase), total bilirubin increased slightly, and albumin and prealbumin decreased after the operation (all P < 0.001). Platelet (PLT) counts began to increase at 1 week postoperatively, peaked at 1 month postoperatively, and then decreased gradually. There was no significant intergroup (PSE and TSE) difference at any time point (1 day, 1 week, 1 month, and 6 months postoperatively, P > 0.05). There was a significant intergroup (PSE and RPSE) difference in the mean postoperative change in PLT count (P = 0.45). Splenic embolization can improve the inflammatory indicators of liver function. Performing PSE twice or more improves the PLT counts.
Investigation of three-dimensional hybrid nanofluid flow affected by nonuniform MHD over exponential stretching/shrinking plate
Authors: Zangooee Mohammad Reza , Hosseinzadeh Khashayar , Ganj Davood Domiri 
Published: April 2022

Abstract
Hybrid nanofluids, which are formed by dispersing two solid materials in a conventional fluid, have recently attracted the attention of researchers as they are able to improve the thermal properties. The present article, therefore, conducts a numerical analysis to investigate the heat transfer in magnetohydrodynamic three-dimensional flow of magnetic nanofluid (ferrofluid) across a bidirectional exponentially stretching sheet of hybrid nanofluid. Suitable similarity transformations convert the conservative equations for mass, energy, and momentum into ordinary differential equations. To solve these equations, a fifth-order Runge–Kutta–Fehlberg method is used. The findings revealed that with the enhancement of shape factor and generation/absorption parameters, the temperature over the surface increased. But if this parameter is decreased, the temperature profiles move towards the surface. Also, when exponent parameter is decreased, the temperature profiles go near the surface and a larger temperature exponent parameter means decreased heat transfer rate closer to the surface. The findings prove that skin friction coefficient corresponds to magnetic and suction/injection parameters and local Nusselt number is decreased with larger exponent parameter and heat absorption/generation parameter.
Synthesis of antiviral drugs by using carbon–carbon and carbon–heteroatom bond formation under greener conditions
Authors: Allaka Tejeswara Rao , Katari Naresh Kumar , Jonnalagadda Sreekanth Babu 
Published: April 2022

AbstractAntiviral medications are a branch of medicines notably used to treat that cause many significant diseases in humans and animals. This monograph mainly focuses on recent developments and synthesis of antiviral drugs using carbon-carbon and carbon–hetero bond cross-coupling chemistry. Viral infections exact several severe human diseases, accounting for remarkably high mortality rates. In this sense, academia and the pharmaceutical industry continuously search for novel compounds with better antiviral activity. The researchers face the challenge of developing greener and economical ways to synthesize these compounds and make significant progress.
Macro Mechanical Properties and Microstructure Analysis of Nano-modified ECC at Low Temperature
Authors: Hu Yu , Gao Shuling 
Published: April 2022

Abstract
The building structure in cold areas has not been in a freeze–thaw cycle but in a low temperature and deep cold environment for years. In such environments, one-time freezing mode is required to analyze the low-temperature freezing problem. The purpose of this study is to optimize engineered cementitious composites (ECC) currently known to have good durability and prepare ratios suitable for low-temperature environments. By mixing nano silica (SiO2) and SiO2 fume in a certain proportion, the internal situation was optimized by using their physical filling effect and chemical activity. The macromechanical properties of four groups of ECC with different nano SiO2 and SiO2 fume content under normal temperature and low temperature were studied. Uniaxial compressive strength and full curves of tensile stress–strain at normal temperature and low temperature (−60°C) were established, whereas the optimum mechanical properties were obtained under low temperatures. It was found that the uniaxial compressive strength, tensile strength, and tensile strain capacity can reach 45 MPa, 4 Mpa, and 4 % at low temperature (−60°C) after 28 days of standard maintenance. Four groups of modified ECC were analyzed by computed tomography (CT), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), and X-ray diffraction (XRD). The microstructure, matrix, fiber–matrix interface, and fiber surface of ECC mixture with nano SiO2 and SiO2 fume were compared to evaluate the improvement of ductility. After determining the porosity by CT scanning, the microstructure was characterized. The characteristics of hydration products at the age of 7 and 28 days were analyzed by XRD. Matrix, fiber–matrix interface, and fiber surface characteristics at the age of 28 days were evaluated using SEM. The results prove that the combination of nano SiO2 0.5 % and SiO2 fume 1.5 % can make the internal pore dense and uniform while optimizing the pore structure and fully exerting the bonding effect between matrix and fiber.
ANALISIS PEMBIAYAAN KPR SEJAHTERA iB DENGAN AKAD MURABÂHAH PADA BANK BRI SYARIAH KCP SERPONG
Authors: Arifin Raja Achmad , Mahmud Hamidullah 
Published: April 2022

BRI Syariah is a sharia bank that provides financing facilities needed bycustomers for the purchase of land and buildings consisting of various sizesand types, in a condition ready to live in or ready to build. Financing is a formof funding issued to support investments that have been planned either to bedone alone or given to others. The purpose of this study was to determine the procedure for financing BRI Syariah iB Prosperous KPR through a murabahah contract and to determine the eligibility of customers to receive KPR Sejahtera financing with using 5C analysis. The method in this study uses a qualitative method with a descriptive analysis approach, to describe the data obtained at the research site. The results of this study can be concluded that Bank BRI Syariah KCP Serpong in analyzing whether or not customers are eligible to receive KPR Sejahtera iB financing at Bank BRI Syariah KCP Serpong uses the 5C principles, namely: character, capacity, condition of economy, capital, and colleteral. BRI Syariah merupakan bank syariah yang menyediakan fasilitas pembiayaanyang dibutuhkan oleh nasabah untuk pembelian tanah dan bangunan yangterdiri dari berbagai ukuran luas dan tipe, dalam keadaan siap huni atau siapbangun. Pembiayaan adalah sebuah bentuk pendanaan yang dikeluarkan untukmendukung investasi yang telah direncanakan baik dilakukan sendiri ataudiberikan kepada orang lain.Tujuan dari penelitian ini adalah untukmengetahui prosedur pembiayaan KPR Sejahtera BRI Syariah iB melalui akadmurâbahah dan untuk mengetahui kelayakan nasabah dalam menerimapembiayaan KPR Sejahtera dengan menggunakan analisis 5C. Metode padapenelitian ini menggunakan metode kualitatif dengan pendekatan deskriptifanalisis, untuk memaparkan data-data yang didapatkan di tempat penelitian.Hasil dari penelitian ini dapat disimpulkan bahwa Bank BRI Syariah KCPSerpong dalam menganalisis layak atau tidaknya nasabah dalam menerimapembiayaan KPR Sejahtera iB Bank BRI Syariah KCP Serpong inimenggunakan prinsip 5C yaitu: character, capacity, condition of economy,capital, and colleteral.
PENGARUH PERENCANAAN KEUANGAN, PENGETAHUAN WAKAF, MOTIVASI, PERSEPSI DAN MEDIA SOSIAL TERHADAP KEPUTUSAN WAKAF UANG
Authors: Jawab Ahmadih Rojalih 
Published: April 2022

Penelitian ini bertujuan untuk mengetahui pengaruh perencanaan keuangan, pengetahuan wakaf, motivasi, persepsi, media sosial terhadap keputusan wakaf uang. Populasi dalam penelitian ini adalah masyarakat beragama Islam. Sampel penelitian ini adalah masyarakat beragama Islam di DKI Jakarta, yang diambil dengan metode teknik pengambilan data dengan kuesioner atau yang disebut dengan instrumen penelitian Teknik pengolahan data menggunakan SPSS Versi 26 yaitu menggunakan analisis statistik, analisis regresi linear berganda, uji asumsi klasik, dan uji hipotesis. Hasil penelitian menunjukkan bahwa perencanaan keuangan memiliki nilai thitung -0,171 < ttabel 1,665, pengetahuan wakaf memiliki thitung 2,245 > ttabel 1,665, motivasi memiliki thitung 1.160 < ttabel 1,665, persepsi memiliki thitung 0,500 < ttabel 1,665, media sosial memiliki nilai thitung 2,659 > ttable 1,665 dan keputusan wakaf memiliki nilai fhitung 7.388 > ftabel 2,34. Kata Kunci: Perencanaan Keuangan, Pengetahuan Wakaf, Motivasi, Persepsi,Media Sosial, Wakaf Uang.
Antibiotic Use and Vaccine Antibody Levels
Authors: Chapman Timothy J. , Pham Minh , Bajorski Peter , Pichichero Michael E. 
Published: April 2022

BACKGROUND
The majority of children are prescribed antibiotics in the first 2 years of life while vaccine-induced immunity develops. Researchers have suggested a negative association of antibiotic use with vaccine-induced immunity in adults, but data are lacking in children.

METHODS
From 2006 to 2016, children aged 6 to 24 months were observed in a cohort study. A retrospective, unplanned secondary analysis of the medical record regarding antibiotic prescriptions and vaccine antibody measurements was undertaken concurrently. Antibody measurements relative to diphtheria-tetanus-acellular pertussis (DTaP), inactivated polio (IPV), Haemophilus influenzae type b (Hib), and pneumococcal conjugate (PCV) vaccines were made.

RESULTS
In total, 560 children were compared (342 with and 218 without antibiotic prescriptions). Vaccine-induced antibody levels to several DTaP and PCV antigens were lower (P &lt; .05) in children given antibiotics. A higher frequency of vaccine-induced antibodies below protective levels in children given antibiotics occurred at 9 and 12 months of age (P &lt; .05). Antibiotic courses over time was negatively associated with vaccine-induced antibody levels. For each antibiotic course the child received, prebooster antibody levels to DTaP antigens were reduced by 5.8%, Hib by 6.8%, IPV by 11.3%, and PCV by 10.4% (all P ≤ .05), and postbooster antibody levels to DTaP antigens were reduced by 18.1%, Hib by 21.3%, IPV by 18.9%, and PCV by 12.2% (all P &lt; .05).

CONCLUSIONS
Antibiotic use in children &lt;2 years of age is associated with lower vaccine-induced antibody levels to several vaccines.
COVID-19 vaccine uptake and intention during pregnancy in Canada
Authors: Reifferscheid Laura , Marfo Emmanuel , Assi Ali , Dubé Eve , MacDonald Noni E. , Meyer Samantha B. , Bettinger Julie A. , Driedger S. Michelle , Robinson Joan , Sadarangani Manish , Wilson Sarah E. , Benzies Karen , Lemaire-Paquette Samuel , Gagneur Arnaud , MacDonald Shannon E. 
Published: April 2022

Abstract
Objective
To investigate COVID-19 vaccine uptake and intent among pregnant people in Canada, and determine associated factors.

Methods
We conducted a national cross-sectional survey among pregnant people from May 28 through June 7, 2021 (n = 193). Respondents completed a questionnaire to determine COVID-19 vaccine acceptance (defined as either received or intend to receive a COVID-19 vaccine during pregnancy), factors associated with vaccine acceptance, and rationale for accepting/not accepting the vaccine.

Results
Of 193 respondents, 57.5% (n = 111) reported COVID-19 vaccine acceptance. Among those who did not accept the vaccine, concern over vaccine safety was the most commonly cited reason (90.1%, n = 73), and 81.7% (n = 67) disagreed with receiving a vaccine that had not been tested in pregnant people. Confidence in COVID-19 vaccine safety (aOR 16.72, 95% CI: 7.22, 42.39), Indigenous self-identification (aOR 11.59, 95% CI: 1.77, 117.18), and employment in an occupation at high risk for COVID-19 exposure excluding healthcare (aOR 4.76, 95% CI: 1.32, 18.60) were associated with vaccine acceptance. Perceived personal risk of COVID-19 disease was not associated with vaccine acceptance in the multivariate model.

Conclusion
Vaccine safety is a primary concern for this population. Safety information should be communicated to this population as it emerges, along with clear messaging on the benefits of vaccination, as disease risk is either poorly understood or poorly valued in this population.
A refined phase diagram of the GeTe-Bi2Te3 system
Authors: Алекперова Туркан Музагим , Мейер Ханс-Юрген , Оруджлу Эльнур Наджаф , Бабанлы Магомед Баба 
Published: April 2022

Updated phase diagram of the GeTe–Bi2Te3 system was constructed using differential thermal, X-ray diffraction analysis and scanning electron microscopy (SEM) results of alloys synthesized with specially developed technology. The refined version significantly differs from those reported so far. The presented phase diagram reflects six ternary compounds: Ge4Bi2Te7, Ge3Bi2Te6, Ge2Bi2Te5, GeBi2Te4, GeBi4Te7, and GeBi6Te10. The study determined that the first two compounds are formed as a result of solid-state reactions at temperatures of 750–800 K, and the latter four are formed as a result of peritectic reactions at 863, 854, 848, and 843 K, respectively. Wide homogeneity regions based on the initial binary compounds were also found. These regions reach 10 mol% at room temperature. The coordinates of eutectic point are 83 mol% Bi2Te3 and 838 K. It crystallises at 838 К. It was found that all the identified ternary compounds crystallise in a tetradymite-like layered structure. Ge4Bi2Te7, Ge3Bi2Te6, Ge2Bi2Te5, and GeBi2Te4 compounds belong to the nGeTe·Bi2Te3 homologous series. Their crystal lattices are formed by the insertion of GeTe bilayers into the quintuple Bi2Te3 layers. GeBi4Te7 and GeBi6Te10 compounds are representatives of the GeTe·mBi2Te3homologous series and have a mixed-layer structure. The parameters of the crystal lattices of the compounds were determined by the Rietveld method based on their powder diffraction data.
Preparation and characterisation of cobalt and cobalt-zinc ferrites for magnetorheological materials
Authors: Гайдук Юлиан Станиславович , Коробко Евгения Викторовна , Котиков Дмитрий Анатольевич , Свито Иван Антонович , Усенко Александра Евгеньевна , Паньков Владимир Васильевич 
Published: April 2022

The aim of this study was to study the structure, morphology, magnetic, and magnetorheological properties of cobalt and cobalt-zinc ferrite powders to be used as a functional component of magnetorheological fluids. Ferrites of cobalt CoFe2O4 and cobalt-zinc Co0.65Zn0.35Fe2O4 were obtained by combined hydrolysis of inorganic metal salt in aqueous solutions followed by thermal treatment of the precipitates. The ferrites were studied by means of X-ray phase analysis, scanning electron microscopy, IR spectroscopy, and magnetometry. The synthesised ferrites are polydispersed powders with the size of primary particles of 300–400 nm and the size of the coherent scattering regions of 22–33 nm. They demonstrate a high shear stress in magnetorheological suspensions, which is 2.5 times higher than that of the nanosized particles. High-temperature annealing results in a significant increase in the specific magnetisation of the powders, as well as the shear stress in suspensions prepared on their basis. Doping cobalt ferrite with zinc leads to an increase in the specific magnetisation and rheological characteristics. The studied materials have a high shear stress in suspensions (~ 2.5 kPa at 650 mT) and can be used as functional fillers for magnetorheological materials.
Polycondensation in a spray of aqueous-alcoholic solution of lactic acid
Authors: Федосеев Виктор Борисович , Федосеева Елена Николаевна 
Published: April 2022

The removal of low molecular weight products of the reaction and heat withdrawal is one of the problems of bulk polycondensation. Polycondensation under spray conditions is an effective way to solve these problems. Based on the example of the reversible reaction of lactic acid polycondensation, it was shown that size effects can significantly affect the conversion rate, the degree of polymerization, and the rate of processes. Chemical thermodynamics suggests that chemical equilibrium in a spray shifts towards the formation of polylactide. In addition, the recondensation of volatile components (water, lactic acid, solvent) stabilizes the concentration of reagents and the temperature in the spray drops throughout the entire process. Model experiments confirming the obtained regularities are presented. Microscopic observation of sessile drops of aqueous and aqueous-alcoholic lactic acid solutions demonstrated the formation of polylactide under normal conditions (without heating, catalyst, evacuation).
Crustal Structure across the West Antarctic Rift System from Multicomponent Ambient Noise Surface Wave Tomography
Authors: Dylan Mikesell Thomas , Mordret Aurélien , Xu Zongbo , Frank William B. 
Published: April 2022

AbstractApproximately 2 yr (2010–2011) of continuous seismic records from a subset of the Antarctic component of the Polar Earth Observing Network (POLENET-ANET) seismic network deployed in West Antarctica are used to compute the nine components of the correlation tensor between each pair of stations in the network. Rayleigh wave velocity information from the vertical and radial components was extracted in the form of group and phase velocity dispersion curves, whereas the transverse component provided complimentary Love wave velocity information. The multicomponent Rayleigh wave measurements (ZZ, RR, ZR, and RZ) were averaged and used to infer the measurement uncertainties. The Rayleigh and Love wave group and phase velocities were then regionalized in space using a 2D deterministic tomography. A transect that spans the West Antarctic rift system was extracted from the tomography at individual periods between 7 and 60 s for the four types of surface wave velocities (i.e., Rayleigh and Love phase and group velocities). A transdimensional Bayesian joint inversion algorithm was used to invert these four datasets for a 1D model of isotropic shear-wave velocity versus depth at each point along the transect. In this way, surface wave dispersion curves from multicomponent noise correlations were used to build a 2D isotropic shear-wave velocity model down to ∼55 km depth. In this model, the top of the large low-velocity zone beneath Marie Byrd Land was imaged (up to a 5% decrease in velocity at ∼50 km depth), which provides further evidence for a mantle hot spot beneath the crust that supports the high topography in this region. We also observed a large velocity contrast in the lower crust beneath Marie Byrd Land at a depth where previous long-period seismicity has been observed. This strong contrast occurs more shallow than in previous crustal models, which compared to our model identify a deeper Moho (∼5–10 km deeper) beneath Marie Byrd Land. This new model has implications for interpreting earthquake locations in this region and perhaps necessitates that we revisit past hypocenter estimation studies using updated velocity models for the region.
Assisted Cement Log Interpretation
Authors: Time Eirik , Viggen Erlend Magnus , Mishra Siddharth , Berg Eirik 
Published: April 2022

Abstract
The Assisted Cement Log Interpretation project has used machine learning (ML) to create a tool that interprets cement logs by predicting a predefined set of annular condition codes used in the cement log interpretation process.
The development of a cement log interpretation tool speeds up the log interpretation process and enables expert knowledge to be efficiently shared when training new professionals in the cased hole logging unit. By using high quality and consistent training data sets, the project has trained a model that will support unbiased and consistent interpretations over time.
The tool consists of a training and a prediction tool integrated with the cased hole logging interpretation software. By containerizing the code using an "API First" design principle, the applicability of this add- on tool is broad. The ML model is trained using selected and engineered features from cement logs, and the tool predicts an annular condition code according to the cement classification system for each depth segment in the log. The interpreters can easily fetch a complete cement log interpretation prediction for the log and use that as a template for their final interpretation. The ML model can easily be retrained with new data sets to improve accuracy even further.
To improve cement log interpretation consistency in the industry, the results are made available as open source.