bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rupture of a Type B Aortic Dissection in a Postpartum Patient with Marfan Syndrome
Authors: Patberg Elizabeth , Duffy Jennifer , Hameed Afshan B. 
Published: August 2019

Background Pregnant women with Marfan syndrome (MFS) are known to be at increased risk of aortic dissection; however, cases of aortic rupture are extremely rare. There is lack of consensus on the exact site and size of aortic diameter measurement that increases this risk, and whether this applies to both Type A and Type B dissections.
Case A 23-year-old G2P1001 with known Marfan syndrome who underwent an uncomplicated antepartum and intrapartum course. She experienced persistent backache 10 days postpartum that led to the diagnosis of Stanford Type B dissection. The patient was hospitalized for close observation. Dissection progressed to aortic rupture within 24 hours that required emergent thoracic endovascular aortic repair. She had an uncomplicated postoperative course.
Conclusion Our report demonstrates rupture of a known aortic dissection within a very short time in the postpartum period. The case highlights the importance of patient education and close surveillance especially in the postpartum period. It also brings home the value of imaging of the whole aorta rather than focusing on the ascending alone. Multidisciplinary care and timely diagnosis and intervention likely led to the favorable outcome in our case.
Contrast-Enhanced Ultrasound in Hepatobiliary Interventions
Authors: Rübenthaler Johannes , Schwarze Vincent , Marschner Constantin , Negrão de Figueiredo Giovanna , Clevert Dirk-André 
Published: August 2019

AbstractContrast-enhanced ultrasound (CEUS) has been widely accepted as a diagnostic tool for the detection and evaluation of benign and malignant liver lesions and has been implemented into the clinical routine as a tool for percutaneous interventional real-time image guidance. CEUS can be combined with computed tomography (CT) and magnetic resonance imaging (MRI) datasets using real-time image fusion to additionally surveil proper interventional treatment and assess treatment success. This review describes the state-of-the-art use of CEUS for the surveillance and monitoring of interventional procedures of the liver and for the evaluation of postinterventional success.
Maternal Marijuana Exposure and Birth Weight: An Observational Study Surrounding Recreational Marijuana Legalization
Authors: Straub Heather L. , Mou Jin , Drennan Kathryn J. , Pflugeisen Bethann M. 
Published: August 2019

Abstract
Objective This study aimed to study the relationship between prenatal marijuana and infant birth weight using natural cohorts established before, during and after the 20-month lapse between legalization and legal recreational sales in Washington State.
Study Design Over 5 years, 5,343 pregnant women with documented urine drug screen (UDS) results delivered at Tacoma General Hospital or Good Samaritan Hospital. Maternal medical data were extracted for three delivery cohorts established based on before (T1), during (T2), and after legalization (T3) of recreational marijuana and legalized availability. Univariate and multivariate models were created to study marijuana exposure on infants' birth weight.
Results Marijuana exposure increased the risk of low birth weight (LBW; odds ratio [OR] = 1.42, 95% confidence interval [CI]: 1.01–2.01). This was more pronounced in full-term babies (OR = 1.72, 95% CI: 1.10–2.69), and was independently associated with a higher risk for small for gestational age (SGA; OR = 1.51, 95% CI: 1.49–1.53). The associations between marijuana exposure and SGA were maintained in cohort-specific models (OR = 1.53, 95% CI: 1.01–2.32 for T2, and OR = 1.43, 95% CI: 1.01–2.02 for T3, respectively).
Conclusion Marijuana exposure verified by UDS was associated with LBW and SGA. However, recreational marijuana legalization and availability did not have direct impact on newborns' risk of LBW or SGA.
Quantitative perspectives in Cognitive Linguistics
Authors: Janda Laura A. 
Published: August 2019

Abstract
As a usage-based approach to the study language, cognitive linguistics is theoretically well poised to apply
quantitative methods to the analysis of corpus and experimental data. In this article, I review the historical circumstances that
led to the quantitative turn in cognitive linguistics and give an overview of statistical models used by cognitive linguists,
including chi-square test, Fisher test, Binomial test, t-test, ANOVA, correlation, regression, classification and regression
trees, naïve discriminative learning, cluster analysis, multi-dimensional scaling, and correspondence analysis. I stress the
essential role of introspection in the design and interpretation of linguistic studies, and assess the pros and cons of the
quantitative turn. I also make a case for open access science and appropriate archiving of linguistic data.
Contrastive semantics of human locomotion verbs
Authors: Kudrnáčová Naděžda 
Published: August 2019

Abstract
This paper is a contribution to a hitherto unexplored area in English-Czech contrastive semantics. It examines
differences in the construal of walking, the most prototypical type of human locomotion. Based on the data from
InterCorp, a synchronic parallel translation corpus, it presents a cognitive oriented analysis of the
semantics of English walk and its nearest Czech counterparts, i.e. jít and
kráčet. Despite their apparent commonalities, the verbs in question do not construe walking in the same way.
In contrast to jít, the construal of a motion situation in walk and kráčet
involves focus on leg movements and bodily position, amounting to a marked segmentation of the motion into individual quanta.
Focus on leg movements and verticality of the body is even more pronounced in kráčet, which can then serve an
evaluative function; such a possibility is not open for walk. Walk thus occupies an intermediate position between
the two verbs.
The near-synonymy of classifiers and construal operation
Authors: Dosedlová Aneta , Lu Wei-lun 
Published: August 2019

Abstract
This paper investigates the near-synonymy of classifiers, using Chinese kē and
zhū as illustration. We find that in [quantifier] – [classifier] – [noun], the two classifiers have
overlapping semantic prototypes due to their similar behavioral profiles. However, despite a shared functional core, the two
classifiers diverge in terms of which part of plant to profile. In particular, zhū highlights parts of
plant that are small and vulnerable, such as flowers and seedlings. In addition, small is another important
conceptual characteristic exclusively associated with zhū, which gives it a distinctive set of peripheral members
to include in that particular linguistic category, including mold, bacterium, and even biological and
chemical substance. Another important difference is the quantifier that precedes, where kē tends to
occur with lower numbers (typically under 10), while zhū with higher numbers (typically over 1,000). Accordingly,
we conclude that [quantifier] – [zhu] – [noun] tends to invoke a higher-resolution construal.
Construction in conversation
Authors: Hsieh Chen-Yu Chester , I-Wen Su Lily 
Published: August 2019

AbstractAlthough the Construction Grammar (CxG) model has yielded fruitful findings, the role that pragmatics plays in language has not yet been fully considered in this theoretical framework. The recent development of spoken corpora, however, enables construction grammarians to develop a new approach called Interactional Construction Grammar, which incorporates interactional factors into CxG analysis to account for patterns that involve interpersonal functions and global contexts. Adopting this approach, the present study attempts to examine the use of a complement-taking mental predicatexiangshuoin Taiwan Mandarin conversation and analyze the co-occurrence patterns of this cognitive verb with different subjects. We identify three sequential patterns in whichxiangshuomost frequently occurs, including account-giving, contrast-projecting and involvement-constructing, and argue that only by taking into account the sequential context and interactional function can the distribution patterns of subjects and particles that recurrently collocate withxiangshuobe explained.
APO X, Y
Authors: Kefalidou Sophia , Athanasiadou Angeliki 
Published: August 2019

AbstractThe paper accounts for the Greek discourse topicalization construction APO X, Y and the sarcastic and humorous effects that arise in the context of Twitter exchanges. Our analysis is based on the analytical tools of the Lexical Constructional Model (henceforth LCM) as formulated inRuiz de Mendoza and Mairal (2008),Ruiz de Mendoza (2013), andRuiz de Mendoza and Galera (2014). For this purpose we have created a corpus of over 1300 real use tweets. The LCM enables us to treat the patricular uses of the APO X, Y construction. It is shown to be very useful in capturing emergent uses of an already established construction.
First synthesis and absolute configuration of phorbasin H, a diterpene carboxylic acid isolated from the sponge Phorbas gukulensis
Authors: Takahashi Kensuke , Ogura Yusuke , Kuse Masaki , Takikawa Hirosato 
Published: August 2019

ABSTRACT
The first synthesis of phorbasin H, a diterpene carboxylic acid isolated from the sponge Phorbas gukulensis, was achieved using 1,4-trans-cyclohexanedimethanol and (S)-citronellal as starting materials. The data collected in this synthesis indicated the absolute configuration of the naturally occurring phorbasin H to be S.
The role of the discount rate for emission pathways and negative emissions
Authors: Emmerling Johannes , Drouet Laurent , Wijst Kaj-Ivar van der , Vuuren Detlef van , Bosetti Valentina , Tavoni Massimo 
Published: August 2019

Abstract
The importance of the discount rate in cost-benefit analysis of long term problems, such as climate change, has been widely acknowledged. However, the choice of the discount rate is hardly discussed when translating policy targets—such as 1.5 °C and 2 °C–into emission reduction strategies with the possibility of overshoot. Integrated assessment models (IAMs) have quantified the sensitivity of low carbon pathways to a series of factors, including economic and population growth, national and international climate policies, and the availability of low carbon technologies, including negative emissions. In this paper we show how and to what extent emission pathways are also influenced by the discount rate. Using both an analytical and a numerical IAM, we demonstrate how discounting affects key mitigation indicators, such as the time when net global emissions reach zero, the amount of carbon budget overshoot, and the carbon price profile. To ensure inter-generational equity and be coherent with cost-benefit analysis normative choices, we suggest that IAMs should use lower discount rates than the ones currently adopted. For a 1000 GtCO2 carbon budget, reducing the discount rate from 5% to 2% would more than double today’s carbon price (from 21 to 55 $/tCO2) and more than halve the carbon budget overshoot (from 46% to 16%), corresponding to a reduction of about 300 GtCO2 of net negative emissions over the century.
Varition Analysis Of Collector Shift Time Period On Solar Water Heater Efficiency
Authors: Mustafa  , Sudarno  , Wahyudi  
Published: August 2019

Abstract
The working principle of a solar collector is to move solar radiation to the working fluid. Solar radiation that falls on the partial glass cover is partially reflected, some will be absorbed and some will be passed to the absorbent plate. The radiation that reaches the absorbent plate will be absorbed by the absorbent plate. The heat absorbed by the absorbent plate will be used to heat the fluid that works in the form of a flowing fluid. The purpose of this study was to design and make a wave plate solar collector with solar tracker, with an interval time of collector shift every 20 minutes, 40 minutes, 60 minutes. From the test results obtained the average efficiency in testing with the collector shift time interval of 20 minutes is 23.07%, with an interval of 40 minutes is 22.07%, and with an interval of 60 minutes is 21.31%.
Potential of Biomass Utilization in Rotary Kiln of Nickel Processing Plant
Authors: Pamungkas B C , Hadi H 
Published: August 2019

Abstract
Global energy-related CO2 emissions rose by 1.4% in 2017 and reached a historic high of 32.5 Gigatonnes (Gt). One of the biggest contributors to CO2 emission is coal combustion that emits 96.1 kg CO2 for each GJ energy production. Top consumers of coal in the world are the iron-steel industry (28.5%) and the non-metallic minerals (21.4%). Rotary kiln is one of the most energy consuming equipment in nickel pyro-metallurgy processing plant. The specific energy consumption for calcine production is determined to be 2.26 GJ/ton calcine. In the rotary kiln, coal is used as fuel and a reducing agent. Charcoal from palm kernel shell has similar characteristics with coal and very suitable to substitute coal. Charcoal from PKS has many advantages compared to other biomass: high fixed carbon content, high heating value, and low ash content. Charcoal from palm kernel shell can be used as fuel and a reducing agent. Potential 9.9% reduction of CO2 emission can be achieved by using 20% PKS charcoal as fuel and 5% PKS charcoal as a reducing agent with minimum impact on the current operation.
Self-powered IoT Based Vibration Monitoring of Induction Motor for Diagnostic and Prediction Failure
Authors: Firmansah Adim , Aripriharta  , Mufti Nandang , Affandi Arif Nur , Zaeni Ilham Ari Elbaith 
Published: August 2019

Abstract
The vibration of the motor provides information for failure diagnostic and prediction through signal processing. In this paper, we present an IoT-based monitoring system for recording the vibration of the induction motor. A 27mm piezoelectric is used to collect the vibration data from the motor. Each self-powered IoT node is supplied by the motor vibration its self by utilizing two 27mm piezoelectrics in series. We conducted an experiment with 3 scenarios, which aims to collect the vibration data from different positions, they are bottom, top and at the coupling. For each scenario, the speed of the induction motor is changed from low, middle to high speed. Based on our results, the proposed system is a success to monitor the motor vibration clearly. The results can display on the smartphone. Each node can send the recorded vibration to the cloud with an average delay of about 1 s.
Analysis of Factors Affecting Continuance Intention of E-Learning Adoption in Lecturers’ Perspectives
Authors: Muqtadiroh Feby Artwodini , Herdiyanti Anisah , Wicaksono Indra , Usagawa Tsuyoshi 
Published: August 2019

Abstract
E-learning is an internet-based learning program. It has been adopted in Institut Teknologi Sepuluh Nopember (ITS) since 2006, and called SAHRE-ITS. It is managed by Directorate of Academic Affairs in ITS. Despite quite long adoption in ITS, there are still a number of problems to confront. One of them is lack of intent of the lecturers as the main and vital users to adopt e-learning continuously. The research was to identify factors affecting the continuance intention of lecturers to adopt SHARE-ITS using some model: expectation – confirmation model (ECM), technology acceptance model (TAM), theory of planned behaviour (TPB), and FLOW theory. The variables used comprised 10 variables, i.e.: perceived usefulness, perceived ease of use, attitude, perceived enjoyment, concentration, subjective norm, perceived behavioural control, confirmation, satisfaction, and continuance intention. The results of the research indicate some factors affecting the continuance intention of the lecturers to use SHARE-ITS and suggest some recommendations for strengthening those factors. This research showed the factors of lecture’s satisfaction and perceived usefulness to SHAREITS positively and significantly affected the continuance intention to use SHARE-ITS. The factor of perceived ease of use among the lecturers positively and significantly affected the perceived usefulness among the lecturer towards SHARE-ITS. Those three factors were essential to consider as they affected the continued intention the lecturers to use SHARE-ITS. In addition, it is identified that the factor of perceived enjoyment in using SHARE-ITS by the lecturers positively and significantly affected their attitude in using SHARE-ITS. Accordingly, the researchers addressed recommendation within the contexts of service rendered by the administrator of SHARE-ITS, data integration, SHARE-ITS menu and navigation designs.
Estimation of Hourly Solar Radiation on Horizontal Surface Using GAMF (Genetic Algorithm Modified Fuzzy) (Case Study in Surabaya)
Authors: Setyawan Erma Hakim , Abadi Imam , Kusumawarni Sartika Arie 
Published: August 2019

Abstract
The biggest renewable energy sources in Indonesia is solar energy. The installed capacity of Solar Power System in 2017 is still very far from the target. Solar radiation is very infulental on the photovoltaic performance in generating energy. The need for solar radiation estimation has become important in the design of photovoltaic system. Previous research has been done using Extreme Learning Machine (ELM) and Adaptive Neuro Fuzzy (ANFIS) methods. In this research, Genetic Algorithm Modified Fuzzy (GAMF) method used to estimate the solar radiation. Meteorogical dates used in this research are temperature, humidity, wind velocity and wind direction. There are 2 types of datas that are BMKG data and measurement data. Three experimental variations of input variation were performed for each data. For BMKG data the best estimation result is obtained when using humidity, temperature and wind velocity as variation inputs with RMSE and MAE of 145.19 and 72. While for the best result estimation result data obtained when applying humidity, temperature, wind speed and wind direction as variation inputs with values of RMSE and MAE were 1.44 and 0.65.
Hybrid Saliency-SVM Method Implementation for Automatic Data Training Selection in Image Segmentation
Authors: Soelaiman Rully , Fatichah Chastine , Yuliandari Aisha 
Published: August 2019

Abstract
Image segmentation is one of the most important step in computer vision and image processing, which later will be used in image retrieval, object identifying and data classification. Image segmentation can be seen as classification problem, namely by marking each pixels according to certain characteristics. Support Vector Machine (SVM) is a classification method included in supervised learning. Supervised learning is a method which requires training and testing. Training sample used in training process isn’t always exist in few cases, especially in the image segmentation case. This particular research implemented SVM-based method which is Saliency-SVM for automatic data training selection in image segmentation. This method generates data training using SVM-based visual saliency detection where there is pre-segmentation step and trimap formation based on saliency information from visual saliency detection, HSV color space quantitation, histogram analysis and local homogeneity threshold. Data training produced is pixel belonging to positive (object) and negative (background). The step before segmentation done with SVM is feature extraction to create input vector in SVM. Object segmentation on the image is done by SVM based on SVM Trained Model. Test result from Saliency-SVM for this image segmentation has average accuracy value up to 94,84 % compared to the image ground truth
The effect of Titanium dioxide precursors variation to morphology of TiO2/ZSM-5 composite
Authors: Iryani A , Kurniawati R , Jovita S , Pramesti F A , Nur H , Santoso M 
Published: August 2019

Abstract
TiO2 photocatalyst is one of the Advanced Oxidation Processes (AOPs) methods which is very potential to be applied to treat wastewater. Modification of TiO2 with the addition of ZSM-5 as supporting material can increase the adsorption capacity and conductivity of water molecules. Those properties enable TiO2/ZSM5 composites to conduct photodegradation process within dye waste. TiO2/ZSM5 composites were prepared by sol gel method. The synthesized materials were characterized by X-ray diffraction (XRD), Energy Dispersive X-ray Scanning Electron Microscopy (SEM-EDX), and Brunauer-Emmett-Teller (BET). The effect of 2-Propanol to TiO2/ZSM-5 Composite Morphology was studied. The results from X-Ray Diffraction analysis revealed that the peak indicating the presence of anatase TiO2 on sample 2.5;5; and 10% TiO2/ZSM-5 composite. The increasing effect of Titanium precursors to TiO2/ZSM-5 composite carried out agglomerates on external surface of ZSM-5 as seen in SEM which was supported by surface area data from BET.
Antioxidant Evaluation of Ganoderma lucidum Extracts
Authors: Hidayat Fahmi , Fatmawati Sri 
Published: August 2019

Abstract

Ganoderma lucidum is one of the many mushrooms utilized by the people as a medicine for cancer, asthma, diabetes and hearth disease. The purpose of this experiment is to determine the antioxidant activity of the extracts from G. lucidum using different solvents. The simplicial powder of G. lucidum are subjected to maceration using water, methanol, ethyl acetate, methylene chloride, and n-hexane; and evaporated the solvent until a viscous extract was obtained. The methanol extract shows highest antioxidant activity with IC50 value of 251.95 μg/mL.
Rice husk ash-geopolymer composite
Authors: Yomthong Krissanapat , Wattanasiriwech Suthee , Wattanasiriwech Darunee 
Published: August 2019

Abstract
This research aimed to enhance properties of fly ash based geopolymer through usage of three types of rice husk ash (RHA). The replacement in the content of 0%, 3%, 5% and 10% by weight was chosen. The RHA used in this study were obtained from (i) the rice drying-process (ii), (iii) in house by burning RH at 600°C and 700 °C. Liquid sodium silicate (LSS) and sodium hydroxide (SH) solution were used as activating agents. The weight ratio of LSS to SH was 1.0 and total liquid to solid was 0.6. The geopolymer prepared without RHA (the control) gave an average compressive strength of 35.91±3.30 MPa. All types of RHA replacement at 3% resulted in an improvement of compressive strength. Further increasing RHA content resulted in an adverse effect on workability and compressive strength of the final products. The highest compressive strength value of 42.52±4.86 MPa was obtained at 3% replacement using RHA burnt at 700 °C. The density results showed a decreased when incorporation of high content of RHA was beyond 5%.
Ferrocene-Graphene nanocomposite modified glassy carbon electrode for amaranth detection
Authors: Akkapinyo Chutimon , Waraho-Zhmayev Dujduan , Poo-arporn Rungtiva P 
Published: August 2019

AbstractA non-covalent nanohybrid of Ferrocene (Fc) with grapheme (Gr) via π-π interaction was proposed for amaranth detection. The synthesized Fc-Gr composite was modified on glassy carbon electrode (GCE) and characterized by cyclic voltammetry (CV) as well as differential pulse voltammetry (DPV). Cyclic voltammogram and differential pulse voltammogram demonstrated successful fabrication of Fc-Gr composite-modified GCE for amaranth detection. DPV was used to obtain a linear range of amaranth detection. The linear range of amaranth detection with a modified sensor was expressed from 10 to 250 μM of amaranth. The limit of detection was obtained at 155 nM of amaranth. Based on these results, the developed sensor provides a good alternative for the determination of amaranth. Moreover, the developed sensor can hopefully be utilized and adapted for detection of other substances.