bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to Code a Sandcastle by J. Funk
Authors: Sehgal Dannielle 
Published: June 2019

Funk, Josh. How to Code a Sandcastle. Illustrated by Sara Palacios, Viking, 2018.
How to Code a Sandcastle, written by Josh Funk, is endorsed as a “Girls Who Code” book. Founded in 2013, the mission of Girls Who Code is to close the gender gap in technology. One of the tools they use to help them reach their young female target audience is children’s literature. The story begins with the protagonist, Pearl, comically explaining a variety of challenges she encountered when building a sandcastle at the beach. Now, on the last day of her summer vacation, Pearl has decided to recruit the help of her robot, Pascal, to build her sandcastle. Pearl gives instructions to Pascal, using code, and explains the coding concepts of sequence, loop, and if-then-else to the reader as they relate to the task of building her sandcastle. These concepts are introduced and explained to the young readers in a fun and engaging manner.
The text features of this book are eye catching and educational. Josh Funk strategically changes the text color to highlight coding vocabulary and he draws the reader’s attention to coding commands by changing the text font when Pearl is giving instructions to Pascal. Speech bubbles are used throughout the book in an appealing, non-linear manner. The illustrations are interesting, colourful, and visually captivating to all readers, young and old. The images are crafted with purpose as they enhance the reader’s ability to make meaning of the coding concepts by providing them with visual information to complement and reinforce the descriptions given in the text. The last two pages of the book, Pearl and Pascal’s Guide to Coding, give a more in-depth explanation of the coding concepts, providing extra support for children and adults who may be new to coding. This book is an entertaining and educational must read!
Highly Recommended: 4 stars out of 4Reviewer: Dannielle Sehgal
Dannielle Sehgal is a kindergarten teacher and graduate student at the University of Alberta. Dannielle is passionate about her career and loves discovering new picture books that she can bring to her classroom and read to her students.
Island Born by J. Díaz
Authors: Robb Kristin 
Published: June 2019

Díaz, Junot. Island Born. Illustrated by Leo Espinosa, Dial Books for Young Readers, 2018.
Island Born by Junot Díaz tells the story of a young girl named Lola, who learns about her heritage from her friends and family. Island Born is the first children's book by Dominican-American author and Pulitzer Prize-winner Junot Díaz, with illustrations by Leo Espinosa. Díaz has said that the story was inspired by his own experience of growing up as a Dominican child in America. Díaz effectively captures both the joys and adversities of life in a diverse urban community.
The book begins with a refreshing bout of diversity, “Every kid in Lola’s school was from somewhere else ... hers was the school of faraway places.” When Lola’s teacher, Miss Obi, asks her students to draw a picture of the place they are from, Lola realizes she does not have any memories of the island where she was born. Miss Obi reassures Lola that there are other ways she can remember. She suggests Lola ask her friends and family to share their memories of the island. In doing so, Lola quickly learns about her family’s past, and the joys and struggles that are familiar to immigrant families.
The images in this book harmonize with the text in a playful way that fully engages the reader in the story about the island. Colombian-born illustrator Leo Espinosa’s images celebrate the vibrancy and diversity of the immigrant community through the depictions of Lola’s classmates, and neighbourhood friends on her journey through self-discovery. Espinosa colourfully, and vibrantly mirrors the island Lola comes from in a lively manner. The story, however, takes a somber twist when Lola learns about the dark history of her nation. Nonetheless, the serious messages continue to be presented in a cheerful kid friendly manner due to Diaz’s choice to depict a serious political leader as a legitimate monster who terrorized the people on the island.
Multicultural representation in children’s literature is vital; however, it is something that is lacking in the majority of classrooms. Classrooms are rapidly becoming more diverse, and Island Born reaches to this. Children learn powerful lessons about who is valued or devalued in society through the literature they are exposed to. When children are unable to find reflections of themselves in classroom literature, they internalize that they are not a valued member of society. However, Island Born offers a glimpse, whether it be through a mirror or a window, into the life as an immigrant student. When students are able to see something of themselves represented in classroom literature, they are able to connect back to and value their identity, culture, and experiences.
Highly Recommended: 4 out of 4 starsReviewer: Kristin Robb
Kristin is an After-Degree student in the Bachelor of Education program at the University of Alberta. Kristin has a passion for reading, and when she is not preoccupied with her studies you can find her volunteering in elementary school classrooms.
The Sloth Who Slowed Us Down by M. Wild
Authors: Randall Darilyn 
Published: June 2019

Wild, Margaret. The Sloth Who Slowed Us Down. Illustrated by Vivienne To, Abrams Books for Young Readers, 2018.
You’ll want to make a speedy trip to the nearest bookstore to pick up a copy of Margaret Wild’s The Sloth Who Slowed Us Down. Together with Vivienne To’s illustrations, this simple story about how a little sloth can be a big example could make anyone want to stop and smell the roses. Life seems to speed up every day, work needs to get done faster so we have time to quickly make dinner, quickly exercise, and then quickly move on to the next thing we feel like we need to speed through. In her newest children’s book, Wild’s descriptive prose directly mirrors Sloth as he teaches Amy’s family the importance of taking our time and enjoying living in the moment. Realistically, we are all very busy, moving from one task to the next without indulging in the little things, the happy moments and the details. Everyone from busy families to teachers to even grown-ups with grown-up jobs and responsibilities could benefit from giving this adoring story a read.
The colourful but soft illustrations created by To provide new detail and add more expression to Wild’s story each time it’s read. Illustrations of Sloth make you want to snuggle him while you read this story and feel like a child again. Through her descriptive writing, Wild portrays Sloth’s actions quite clearly. She includes phrases, such as “Sloth had a long, leisurely bath. . .” that roll off the tongue in a way that makes you feel like you’re taking your time, but in the best sort of way.
Highly recommended: 4 out of 4 starsReviewer: Darilyn Randall
Darilyn Randall is a fourth-year student at the University of Alberta completing her Bachelor of Elementary Education. She is interested in teaching in a Division 1 classroom where she can incorporate children’s literacy into cross-curricular activities.
Bubble-Population-Balance Modeling for Supercritical Carbon Dioxide Foam Enhanced-Oil-Recovery Processes: From Pore-Scale to Core-Scale and Field-Scale Events
Authors: Izadi Mohammad , Kam Seung Ihl 
Published: June 2019

Summary
A bubble-population-balance foam-modeling technique is developed to investigate how carbon dioxide (CO2) foam behaves rheologically and propagates in a field-scale radial system. The modeling technique is based on pore-scale events and honors three different foam states (weak, strong, and intermediate) and two steady-state strong-foam-flow regimes (high- and low-quality) measured in core-scale experiments. The model parameters are first obtained from a fit to laboratory–coreflood experimental data, and then the mechanistic model is applied to different types of CO2 foams, ranging from gaseous to supercritical–CO2 foams, represented by various mobilization pressure gradients.
The results from the fit to existing coreflood data show that a reasonable match can be made satisfying multiple constraints, such as hysteresis exerted by three foam states, non–Newtonian flow behavior caused by gas trapping and shear–thinning rheology, and bubble stability in different capillary pressure environments. When applied to field–scale scenarios, supercritical–CO2 foams requiring low mobilization pressure gradients propagate much farther than gaseous–CO2 foams, far enough to make use of promising supercritical–CO2 foams in the field. This study, for the first time, theoretically demonstrates why supercritical–CO2 foams should be preferred in the field compared with gaseous N2 or CO2 foams.
The companion paper to extend this study to full–field–scale foam propagation in conjunction with gravity segregation is Izadi and Kam (2018).
Easy-DHPSF 2.0: open-source software for three-dimensional localization and two-color registration of single molecules with nanoscale accuracy
Authors: Bayas Camille , Diezmann Alex von , Gustavsson Anna-Karin , Moerner W. E. 
Published: June 2019

Abstract
Automated processing of double-helix (DH) microscope images of fluorescent single molecules (SMs) streamlines the protocol required to obtain super-resolved three-dimensional (3D) reconstructions of ultrastructures in biological samples by single-molecule active control microscopy (SMACM). Here, we present a suite of MATLAB subroutines, bundled with an easy-to-use graphical user interface (GUI), that facilitates 3D localization of single emitters (e.g. SMs, fluorescent beads, or quantum dots) with typical precisions of tens of nanometers in multi-frame movies acquired using a wide-field DH epifluorescence microscope. The algorithmic approach is based upon template matching for SM recognition and least‑squares fitting for 3D position measurement, both of which are computationally expedient and precise. Overlapping images of SMs are ignored, and the precision of least-squares fitting is not as high as maximum likelihood-based methods. Version 2.0 of Easy-DHPSF augments the approach of Version 1.0 by incorporating code that facilitates combining localization data from two spectral channels using a locally-weighted quadratic 3D registration function.
Bilateral exudative retinal detachment in a patient with cerebral venous sinus thrombosis: a case report
Authors: Li Liang , Gao Ling 
Published: June 2019

Abstract
Background: Cerebral venous sinus thrombosis (CVST) is a rare cerebrovascular disease, it’s ocular symptoms often characterized by a subacute bilateral visual loss, or diplopia and paralysis of eye movements. Fundus examination usually presents as bilateral papilledema and other ocular signs are rare. We report a case of bilateral multiple retinal detachments and finally diagnosed as CVST.

Case presentation: A 49-year old woman with progressive headache and bilateral vision deterioration visited our clinic. Ophthaomological examinations including medical history, best-corrected visual acuity, intraocular pressure, slit-lamp biomicroscopy, fundus ophthalmoscopy, fluorescein angiography and Optical coherence tomography and head Magnetic Resonance Venogram (MRV) was also performed. Blood tests for ruling out systemic diseases were also performed. Fundus exam revealed bilateral multiple retinal detachment with sub-retinal fluid and blurred disc margin. Fluorescein angiography (FA) revealed early hypofluorescence in the background stage, multiple pinpoint leakages at the level of retinal pigment epithelium (RPE), and late pooling to outline the boundary of retinal detachment, with some of the leakage shaped as multiple circles in the late stage of FA. OCT revealed retinal and choroid folds, bilateral serous effusion in the sub neuro-retinal area. Lab results showed PPD 1:2000 (+++), T-spot test were positive; Head MRV showed thrombosis formation in the left transverse venous sinus.

Conclusions: The patient demonstrated that CVST would cause retinal capillary ischemia and lead to sub-retinal lesions and retinal detachments. Cautions should be taken when patients presenting common ocular characteristics with usual systemic conditions.
A Spatialization Method for Grain Yield Statistical Data: A Study on Winter Wheat of Shandong Province, China
Authors: Xiao Guofeng , Zhu Xiufang , Hou Chenyao , Liu Ying , Xu Kun 
Published: June 2019

Core Ideas
Dividing the study area into subregions and classifying them improved winter wheat classification accuracy.Single‐phase Normalized Difference Vegetation Indices acquired on 6 March, 23 April, 25 May, and 29 June were the best variables for building the wheat yield spatialization model.The extraction accuracy of winter wheat area greatly impacted the spatialization of yield.The proposed model can provide a technical reference for producing high‐resolution crop yield distribution maps.
Grain yield data based on administrative divisions (counties, cities, etc.) for statistics lack spatial information, which can be effectively solved by grain yield spatialization. This paper proposes a spatialization method for grain yield based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series data. The method was tested by taking winter wheat (Triticum aestivum L.) in Shandong Province in China as an example. First, the classification and regression tree (CART) algorithm was trained to extract the winter wheat planting pixels in 2016. The average NDVIs of the different growing stages (returning green, jointing, heading, and milk ripening) were calculated from the MODIS NDVI time series data. The relationship between winter wheat yield and NDVI variables (including single‐phase NDVI and the average NDVI of different growing stages) was analyzed by univariate and multiple linear regressions. The NDVI variable with the highest correlation to winter wheat yield and the minimum root mean square error of the fitting equation were chosen as input to build the spatialization model. The results show that the classification accuracy of winter wheat estimated with the confusion matrix was 82.51% and that the average precision of planting acreage compared with county‐level statistical data was 87.64%. The average relative error of yield spatialization at the county level was 22.71%. The method developed in this paper is easy to operate and popularize, and it can provide a technical reference for producing high‐resolution crop yield distribution maps of long time series through spatialization.
Mulches Improve Ridge‐tillage Tomato Production under Drip Irrigation with Saline Water
Authors: Chen Xiulong , Kang Yaohu , Wan Shuqin , Guo Liping 
Published: June 2019

Core Ideas
Soil salinity three years after first growing season was fluctuated slightly.Soil salinity under wheat straw was lower than both waterproof and pervious plastic mulch.Wheat straw improved tomato yield, followed by black waterproof plastic mulch.
Fresh water resources in the North China Plain are declining due to increasing industrial and domestic water use. These uses raise the agricultural demand for low quality water. To provide appropriate management techniques for safely using saline water, different mulching materials were tested on ridge‐tillage tomato (Lycopersicon esculentum Mill.). Four treatments: control (bare land, CK), black plastic (BPM), black sheet net (BSN), and wheat straw (SM) were designed to: (i) evaluate the effects of mulching on the irrigation amount, soil salinity, tomato yield, and irrigation water productivity (IWP); and (ii) develop integrated irrigation strategies using saline water securely. The average required water for the SM and BPM treatments reduced by 12 and 20%, respectively. Electrical conductivity of saturated paste extracts (ECe) increased from 1.91 to 4.07 dS m−1 in 0‐ to 40‐cm root zone and from 2.33 to 4.24 dS m−1 in 0‐ to 120‐cm soil profile after the first year irrigation, and then fluctuated slightly during the next 3 yr due to precipitation and evaporation. The ECe for the SM treatment was always the least in 4 yr. Compared with CK, the BPM and SM treatments over 4 yr increased the average tomato yield by 26 and 42%, and increased the average IWP by 62 and 70%, respectively. Therefore, straw mulching was the best mulching material to safely use saline water of <6.3 dS m−1 for the ridge‐tillage tomato under drip irrigation, followed by black plastic mulching, in a temperate semi humid monsoon climate zone.
Technique to Determine Water Uptake in Organic Plots
Authors: Logsdon S.D. , Cambardella C.A. , Prueger J.H. 
Published: June 2019

Core Ideas
Measurement and theory were combined to determine evapotranspiration.Uncertainty was considered for evapotranspiration determination.Input included meteorological, crop, and minimal soil properties.
Methods to determine crop water use may be difficult to implement on numerous research plots. The purpose of this study was to calculate Priestley‐Taylor evapotranspiration (ET) from measured input and to assess uncertainty. Input data included net radiation, air temperature, barometric pressure, green ground cover, total ground cover, the ratio of crop to total green cover, soil texture class, and clay content for each soil layer, and periodic water content measurements with depth (daily for soil surface). The relationship between seasonal water use and yield was similar to literature values for alfalfa (Medicago sativa L.) and oat (Avena sativa L.) dry matter as well as for soybean [Glycine max (L.) Merr.] grain yield, but the calculated water use was lower (∼80%) than literature values for corn (Zea mays L.) grain yield. Monthly trends in water use reflected the seasonal crop growth. In summary, the proposed technique was useful across multiple plots and cropping treatments, and was more reliable than a water balance approach in areas with lateral and upward flow due to periodic high water tables.
ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri
Authors: Barman Swapnali , Bhattacharjya Rajib Kumar 
Published: June 2019

Abstract
The River Subansiri, one of the largest tributaries of the Brahmaputra, makes a significant contribution towards the discharge at its confluence with the Brahmaputra. This study aims to investigate an appropriate model to predict the future flow scenario of the river Subansiri. Two models have been developed. The first model is an artificial neural network (ANN)-based rainfall-runoff model where rainfall has been considered as the input. The future rainfall of the basin is calculated using a multiple non-linear regression-based statistical downscaling technique. The proposed second model is a hybrid model developed using ANN and the Soil Conservation Service (SCS) curve number (CN) method. In this model, both rainfall and land use/land cover have been incorporated as the inputs. The ANN models were run using time series analysis and the method selected is the non-linear autoregressive model with exogenous inputs. Using Sen's slope values, the future trend of rainfall and runoff over the basin have been analyzed. The results showed that the hybrid model outperformed the simple ANN model. The ANN-SCS-based hybrid model has been run for different land use/land cover scenarios to study the future flow scenario of the River Subansiri.
Systematic Development of Sertraline Loaded Solid Lipid Nanoparticle (SLN) by Emulsification-Ultrasonication Method and Pharmacokinetic Study in Sprague-Dawley Rats
Authors: Rahman Mohammad A. , Harwansh Ranjit K. , Iqbal Zeenat 
Published: June 2019

Objective:
To circumvent the aforementioned problems and for the successful
delivery of those newly discovered poorly soluble compounds, researchers have focused on
the feasibility of biocompatible lipids such as Solid lipid nanoparticles (SLN) as carrier
system.

Background:
Sertraline (SRT) is commercially available as hydrochloride salt. Poor
bioavailability (around 44%) of hydrochloride salt is considered to be conversion of salts to
free base in the gastrointestinal tract which retard it’s absorption.

Methods:
Different batches of solid lipid nanoparticles (SLN) were prepared and on the
basis of particle size, polydispersity index (PDI), zeta potential (ZP), encapsulation efficiency
(EE), and drug loading capacity (L) an optimum system was designed.

Results:
The optimized formulation contains; 5% (w/v) Compritol® E ATO as lipids, 2.5%
(w/v) Tween® 80 as surfactant and 0.1% (w/v) SRT as actives. The formulation was
freeze-dried using mannitol as a cryoprotectant to control the aggregation of particles during
redispersion process. SLN with <110 nm size, <0.2 PDI, >36 mV ZP, >72% EE, and
nearly 0.7% L can be formed at appropriate formulation process conditions; homogenization
time (HT) and sonication time (ST) at 5 min and 10 min, respectively. XRD studies
indicated the presence of amorphous form of drug that is completely encapsulated within
the nanoparticulate matrix system. The optimized SLN formulation have shown the highest
value of zeta potential (-36.5 mV) confers stability of nanodispersion. Release of drug encapsulated
in SLN showed a biphasic pattern and was extended upto 12 hours. The maximum
plasma concentration (Cmax) and area under the curve (AUC) in case of sertraline
loaded SLN were found 10-fold and 6-fold higher, respectively compared to pure drug.

Conclusion:
The result depicted enhanced extent of absorption of sertraline from SLN
compared to plain sertraline. Furthermore, sertraline-loaded SLN were found to be stable at
4°C for 6 months of study period. Hence, the SLN can be used as a potential carrier for
successful delivery of poorly water-soluble drugs associated with poor oral bioavailability
like sertraline.
Electrocoagulación y electroflotación para reducir contenido orgánico y turbidez en aguas residuales urbanas simuladas
Authors: Villon Angel , Reátegui Warren 
Published: June 2019

La electrocoagulación es un método de tratamiento de aguas residuales que implica la generación de iones con alto número de oxidación como el Fe+3 y el Al+3, como agentes coagulantes, mediante las oxidación de ánodos del mismo material, los cuales han sido reconocidos por la bibliografía [1,2], como un método eficiente para retirar material coloidal de origen orgánico, estas especies debido a su alta carga eléctrica y tamaño iónico, desestabilizan a los coloides (carga negativa), que es la forma que se encuentra la carga orgánica en las aguas residuales, reuniéndolas formando coágulos, los cuales son retirados usualmente por sedimentación (decantación), pero para ello habría que formar flóculos. La propuesta de la investigación es flotarlos; para ello se utilizó la producción de oxígeno e hidrógeno formados en el ánodo y cátodo respectivamente, y es por este motivo que se llama electroflotación, para hacer más eficiente este procedimiento (electroflotación), se usa un par de electrodos auxiliares, que su única función es producir estos gases, de esta manera se retira los coágulos formados por la parte superior del sistema. La carga orgánica simulada proviene de la reducción del tamaño de especies como proteínas/carne, almidones/cereales, celulosa/verduras, grasas/aceites de origen vegetal y animal. El estudio logró reducir de 1200-1300 NTU de turbidez a valores por debajo de 16 NTU y de valores de 3,400 mg/L de DQO a valores por debajo de 500 mg/L de DQO.
Palabras clave: Electrocoagulación, electroflotación, DQO, aguas residuales