bluuebunny/crossref_metadata_2025_split huggingface dataset:
Windy Wyndham and the Wagon Who Couldn’t Swim by P. Gould
Authors: Campbell Sandy 
Published: September 2019

Gould, Peter. Windy Wyndham and the Wagon Who Couldn’t Swim. Bassendean, Western Australia, Peter Gould and Donna Franklin, 2018.
This is the sixth volume in Peter Gould’s Stories from the Engine Shed series. These books tell the stories of the train engines and cars of the Bennett Brook Railway at Whiteman Park, near Perth in Western Australia. Apart from being a fun series of children’s books, this series is important because it demonstrates that the concept of anthropomorphized train cars is generic and does not belong to any particular franchise. The series has its own cast of characters and a unique Western Australian world in which they operate. While earlier volumes have been set in Whiteman Park, this is a story told by the large diesel locomotive, Windy Wyndham that harkens back to a time when Windy worked at the harbour in the northwestern Australian coastal town of Wyndham.
The book is full of Donna Franklin’s brightly coloured pictures. The style of illustration varies significantly, even within pictures. Some of the images, particularly those with machines and people, are quite cartoonish. Drawings of people sometimes lack detail. However, when the subject is something in nature, Franklin’s work is stronger. Her rendition of a turtle, a crocodile, magpie-larks and seahorses are lovely.
Each page is a picture with text overprinted. The text includes local references, such as the Freemantle Doctor, the cooling breeze that comes from the Indian Ocean. There are also some railway-specific words, such as “buffer beam”, “shunter”, and “cow catcher.” These words are explained in the glossary, “Ashley’s Railway Words”, at the end of the book.
While not widely distributed, the series is available through the Bennett Brook Railway. This volume includes a loose single page insert that explains the history of the real Windy Wyndham engine, which has been at Whiteman Park since 1984.
Overall, this is an excellent series, which is suitable for elementary school libraries and public libraries.
Highly recommended: 4 out of 4 starsReviewer: Sandy Campbell
Sandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.
Many Wonderful Book Events to Announce
Authors: Pearce Hanne 
Published: September 2019

Greetings Everyone,
It has been a surprisingly rainy summer here in Edmonton and while gardens may be water-logged, many of us have taken the extra time indoors to read—I know I have. The news for this issue includes a few events and highlights some resources for teachers and parents making plans for the fall.
Upcoming Events
Thin Air: The Winnipeg International Writers Festival will be held September 22-30, 2019. The festival includes a school program to highlight writing for children. For more information see the website at https://thinairwinnipeg.ca/
Kingston Writers Fest runs Sep 25-29, 2019. The program includes Youth Programming. See the website for details at: https://www.kingstonwritersfest.ca/kids-teens/festival-field-trips/
The Festival of Literary Diversity (FOLD) Kids Book Fest will be held in Brampton, Ontario on Sep 27-29, 2019. Information is available on the festival website: http://thefoldcanada.org/kids/
Canadian Children’s Book Centre to start a YouTube Channel
According to the CCBC Website: “Plans are underway for a YouTube channel to showcase videos and links to resources about Canadian books for children and youth. Currently the CCBC is collecting videos for the channel. If you have ready-made videos that relate to Canadian children’s books you can email janis@bookcentre.ca with a title, video length and video description and she’ll include it in her database of prospective videos. The project is being funded by the Canadian Council for the Arts with an anticipated launch in 2020.
Book Banks for Teachers and Parents
With the new school year underway, I thought it would be worthwhile to highlight a couple book banks offered by the CCBC. The History Book Bank highlights children’s books by subject, and is broken down by centuries. The Social Justice Book Bank enables searching titles by wide variety of categories that include Indigenous, me too, diaspora and immigration, physical handicaps, mental health, etc. Both these book banks offer great ideas for reading based on subject matter.
Some readers may enjoy this interesting article in The New Yorker about Margaret and Hans Rey, the creators of the Curious George series.
To conclude, this issue of Deakin will be my last issue as the Communications Editor. For the past several years it has been a pleasure to serve on the editorial team of this journal. I have learned a great deal and I believe this journal provides great information about current children’s books and literature within the Canadian context. I wanted to thank our managing editor Robert Desmarais for his guidance and patience over the past few years. I also want to thank all the other editors on our team: Kim, Debbie, Allison, and Janice, and our reviewers and readers. I look forward to submitting book reviews in the future as my time permits.
Best wishes,
Hanne
MiR-139-5p/SLC7A11 Inhibits the Proliferation and Migration of Pancreatic Carcinoma via PI3K/Akt Signaling Pathway
Authors: Yan Qiuliang , Wang Jianwei , Chen Yan , Ye Qinghuang , Wang Zhijiang , Zhu Jinhui 
Published: September 2019

Objective: Pancreatic carcinoma (PANC) is one of the important aggressive cancers, with deficiency in effective therapeutics. Studies have unveiled that miR-139-5p expression is significantly downregulated in other types of cancers. However, the functions and mechanisms of miR-139-5p in PANC remain unclear.
Methods: Bioinformatic analysis was performed to analyze the differentially expressed genes in the TCGA database. PANC cell line with overexpressed miR-139-5p and Solute Carrier Family 7, Member 11 (SLC7A11) was established, and has been used to detect cell proliferation, migration, invasion and colony formation in PANC. Subsequently, bioinformatic analysis and luciferase assay were performed to confirm that SLC7A11 was a target gene of miR-139-5p. Xenograft mouse model was used to investigate the role of miR-139-5p in PANC tumorigenicity.
Results: Through bioinformatic analysis, miR-139-5p was predicted to regulate phosphatidylinositol signaling pathway by targeting SLC7A11. MiR-139-5p was found to be lowly expressed in PANC tissues, while SLC7A11 was highly expressed. Low expression of miR-139-5p and high expression of SLC7A11 were positively associated with poor clinical outcomes. PANC cell proliferation, migration, and invasion could be inhibited by miR-139-5p overexpression and could be promoted by SLC7A11 overexpression. MiR-139-5p could regulate the protein expression level of PI3K and Akt associated with phosphatidylinositol signaling pathway could be by inhibiting the expression of SLC7A11. MiR-139-5p overexpression could suppress PANC tumor growth and the expression of SLC7A11, p-PI3K, p-Akt in tumor tissues. Therefore, the inhibiting effect of miR-139-5p to PANC cell proliferation, invasion and migration, at least, was partly due to its inhibiting effect on SLC7A11 expression.
Conclusion: These results demonstrated a novel role of miR-139-5p/SLC7A11 in PANC and provided potential prognostic predictors for PANC patients.
Aktivitas Argumentasi dalam Kegiatan Eksperimen Fisika: Analisis Respon Mahasiswa
Authors: Anci Syah , S. Siswanto  , Yusiran  , Hartono  , B. Subali  
Published: September 2019

Kegiatan eksperimen merupakan salah satu faktor penting dalam mencapai tujuan pembelajaran fisika. Penelitian ini bertujuan untuk memperoleh gambaran mengenai respon mahasiswa terhadap aktivitas argumentasi yang disisipkan dalam kegiatan eksperimen fisika. Kegiatan eksperimen yang disisipi aktivitas argumentasi yaitu tahapan aktivitas laboratorium inkuiri, yang meliputi tahap (1) mengidentifikasi masalah, (2) merumuskan tujuan, (3) merumuskan hipotesis, (4) merancang prosedur eksperimen, (5) melakukan kegiatan eksperimen, (6) melakukan interpretasi data, (7) menyimpulkan. Sedangkan aktivitas argumentasi yang disisipkan meliputi aktivitas mengajukan klaim, data, pembenaran, dan dukungan. Penelitian ini dilakukan dengan melibatkan 100 mahasiswa di tiga perguruan tinggi yang berbeda. Data diperoleh melalui angket respon mahasiswa dan wawancara terbuka. Analisis data dilakukan secara kualitatif dan kuantitatif. Secara umum, kegiatan eksperimen mendapatkan respon yang positif dari mahasiswa.
An Artificial Intelligence Approach to Predict the Water Saturation in Carbonate Reservoir Rocks
Authors: Tariq Zeeshan , Mahmoud Mohamed , Abdulraheem Abdulazeez 
Published: September 2019

Abstract
Carbonate rocks have a very complex pore system due to the presence of interparticle and intra-particle porosities. This makes the acquisition and analysis of the petrophysical data, and the characterization of carbonate rocks a big challenge. In this study, functional network tool is used to develop a model to predict water saturation using petrophysical well logs as input data and the dean-stark measured water saturation as an output parameter. The data comprised of more than 200 well log points corresponding to available core data. The developed FN model was optimized by using several optimization algorithms such as differential evolution (DE), particle swarm optimization (PSO), and covariance matrix adaptation evolution strategy (CMAES). FN model optimized with PSO found to be the most robust artificial intelligence (AI) model to predict water saturation in carbonate rocks. The results showed that the proposed model predicted the water saturation with an accuracy of 97% when related to the experimental core values. In this study in addition to the development of optimized FN model, an explicit empirical correlation is also extracted from the optimized FN model. To validate the proposed correlation, three most commonly applied water saturation models (Simandoux, Bardon and Pied model, Fertl and Hammack Model, Waxman-Smits, and Indonesian) from literature were selected and subjected to same well log data as the AI model to estimate water saturation. The estimated water saturation values for AI and other saturation models were then compared with experimental values of testing data and the results showed that AI model was able to predict water saturation with an error of less than 5% while the saturation models did the same with lesser accuracy of error up to 50%. This work clearly shows that computer-based machine learning techniques can determine water saturation with a high precision and the developed correlation works extremely well in prediction mode.
Automated Surveillance of Subsurface Wellbore Integrity in a Heavy Oil Field using Passive Seismic Systems
Authors: Lolla Sri Venkata , Bailey Jeffrey , Costin Simona , Hons Michael , Liu Xinlong , Yam Helen , Akhmetov Arslan , Hayward Timothy , Brisco Colin 
Published: September 2019

Abstract
Continuous subsurface surveillance is important for heavy oil in-situ recovery processes where induced stresses in the overburden can compromise the integrity of the wellbores. Wellbore failure may lead to the undesirable loss of fluids into the overburden. In recent years, there has been a rapid growth in the use of Passive Seismic monitoring systems to aid in subsurface surveillance activities, with the ultimate goal of detecting potential integrity issues as early as possible. However, the massive volume of data recorded by these instruments is time-consuming and error-prone to process manually. This paper introduces EMMAA (ExxonMobil Microseismic Automated Analyzer), an automated workflow to reliably process continuous microseismic data, detect subsurface integrity issues, and ultimately reduce the latency in responding to wellbore integrity issues.
A novel cloud-based technology for managing microseismic data is briefly described. The seismic waveforms, recorded by a distributed array of geophone receivers, are automatically analyzed to determine the type and source of subsurface disturbances (‘events’).
First, novel frequency-domain and deep learning analyses are used to distinguish noisy signals from the seismic waveforms such as compressional and shear waves produced by the events. Next, the location of the event is calculated and its seismic attributes are computed. Finally, the type and severity of the seismic event are determined by an event classifier.
The performance of the automated workflow is examined in the context of accurate detection of casing failures in a heavy oil Cyclic Steam Stimulation (CSS) application. The event features that distinguish casing breaks from other seismic events are described. It is shown that the methodology is able to achieve a high detection rate when back-tested against a historical data-set of known casing failures. False positives are adequately contained by preventing waveforms of electrical or mechanical noise from being processed.
In a production environment, the event processing workflow is run on distributed servers and analyzes triggered seismic data in real-time. Depending on the severity of the microseismic events detected, operators are immediately alerted via email and text messages, so that remedial actions may be swiftly initiated. The utility of this integrated system is further exemplified by the massive reduction in the time taken to detect casing breaks—from up to 36 hours historically, down to less than one hour in most instances.
Extensions of EMMAA that enable the detection of a wide variety of microseismic events are also discussed. These events include surface casing slips that occur at the casing shoe, cement de-bonding events near the wellbores, and events indicative of potential fluid migration in the overburden.
Automatic Well Interference Identification and Characterization: A Data-Driven approach to Improve Field Operation
Authors: Rahman Mohammad , Gioria Gian , Sankaran Sathish , Molinari Diego 
Published: September 2019

Abstract
Inter-well communication in unconventional reservoirs has received huge attention due to its significant effects on well production. Though it has long been a known side effect of hydraulic fracturing, well interference has become more prominent and frequent as the industry moves to larger completion designs with closer well spacing and infill drilling. Fracturing of infill wells ("child" wells) directly places the older adjacent producing wells ("parent" wells) at risk of suffering premature change in production behavior. Some wells may never fully recover and, in worst cases, permanently stop producing after taking severe frac hits.
This paper presents an automatic data-driven workflow developed to identify inter-well interference events and their impact on EUR (estimated ultimate recovery) based on changes in the well productivity trend. The innovative approach of the workflow is the ability to automatically analyze interference using the complete production history for all wells in a field, using routinely collected data and without introducing human bias in the derivation of the results, instead applying a consistent criteria. The final result is a comprehensive collection of all well interference events occurred in a field, which may be used as a training set for statistical and machine learning based models aiming at predicting such events.
First, the automatic identification of anomalies in the well behavior was developed and criteria set to label the interference events. Next, probabilistic simulations are run to forecast multiple scenarios to quantify the impact of a well interference event reported in terms of change in cumulative oil production. Finally, every event is analyzed in the overall context of field operations, in an attempt to present possible causes which may explain the change of production behavior.
What Drilling Automation can Teach us about Drilling Wells
Authors: Isbell Matthew Ray , Groover Austin Cody , Farrow Blakley , Hasler David 
Published: September 2019

Abstract
An operator and rig contractor have been implementing drilling operations automation (DOA) pursuing well design and drilling operational execution improvements in terms of safety, quality, delivery, and cost (SQDC). Today, drilling automation enables tighter process control of operations and well design stakeholders are beginning to fully understand and anticipate its value.
DOA requires applying a process control approach and defining well construction processes at a very detailed level. This process control approach is proposed as a method to study and improve work steps and integrate them into overall operational activities. Optimizing, much less controlling, a drilling system is a difficult task with a multitude of variables to manage. The process of automating operations may be one of the best tools to reduce the number of unknown variables and better deliver consistent SQDC results.
Automation case studies such as a downhole Weight on Bit (WOB) drilling system, a directional drilling advisory system, a sliding system for conventional steerable mud motors, and an integrated tubular running system are described to highlight the role of automation in assisting operators and contractors to efficiently manage and improve the well construction process. Process automation requires improvements in foundational systems, tools, and data quality to support operational performance. The most significant finding is how automated systems enable operations to be practically managed at a detailed level by drilling personnel, engineers, and other stakeholders. After practices and systems are proven and automated, they can be scaled and managed over an entire rig fleet. This will ultimately enable today's well construction and drilling system related risks to be mitigated and managed, leading to further SQDC rewards with more efficient well designs.
The operator and rig contractor will share perspectives for realizing value and opportunity through applying DOA. Experience shows DOA-influenced standardized operations can result in eliminating steps that are no longer needed. Automation enables changes to well design that are just beginning to be understood and anticipated by drilling teams. The challenge will be linking these opportunities to pursue new capabilities supporting well design improvement. This will be the true benefit from automating drilling operations.
Evaluation of Chemical Blends for Shale EOR
Authors: Miller Chammi , Zeng Tongzhou , Mohanty Kishore 
Published: September 2019

Abstract
Application of horizontal wells and multi-stage fracturing has enabled oil recovery from extremely low permeability shale oil reservoirs, but the decline in production rate is more than two thirds in the first two years. We are trying to develop chemicals that can be injected into old wells to stimulate oil production before putting the well back in production. The goal of this work is to evaluate chemical blends for such a process at the laboratory scale. The chemical blend contains surfactants, a weak acid, a potential determining ion, and a solvent. Six different solvents were screened: Cyclohexane, D-Limonene, Dodecane, Kerosene, Turpentine, and Green Solvent®. Most of the chemical blends with the solvents extracted about 60% of the oil from shale chips, but the Green Solvent® extracted about 84%. Spontaneous imbibition tests were performed with outcrop Mancos shale cores. Oil was injected into these outcrop cores at a high pressure. NMR T2 distributions were measured for the cores in the original dry state, after oil injection and after imbibition. The aqueous phase from the chemical blend imbibed into the cores and pushed out a part of the oil and gas present in the cores. The surfactant in these blends can change wettability and interfacial tension. The solvent can mix with the oil and solubilize organic solid residues such as asphaltenes. The weak acid can dissolve a part of the carbonate minerals and improve permeability. The synergy can make these chemical blends strong candidates to stimulate oil recovery in shale formations.
NE British Columbia and NW Alberta Montney: Natural Gas and Power Evolution
Authors: Child P. Eng Robert , Mauger P. Geol Simon 
Published: September 2019

Abstract
Today, almost half of Western Canada's natural-gas production comes from the Triassic-aged Montney formation, a six-fold increase over the last 10 years while gas production from most other plays has declined. In the last few years, demand for condensate as diluent for shipping bitumen has driven development of liquids-rich Montney natural gas leading to a surge in gas production and gas-on-gas competition in the Western Canadian Sedimentary Basin (WCSB), which has driven local natural gas prices down. This has had a material effect on the operations and finances of companies active in the Western Canada and is re-shaping the Canadian gas industry.
A significant portion of this growth has taken place in NE British Columbia and with the planned electrification of the industry in British Columbia, including the nascent LNG operations, will influence tomorrow's power industry in this region. NE British Columbia is a geographically large area with sparse population and the power supply into this region has lagged behind development of oil and natural gas resources. The area was originally served from geographically closer NW Alberta. More recently, supply was established from the BC Hydro power grid with the most significant developments being Dawson Creek-Chetwynd Area Transmission (DCAT) completed in 2016 and the additional 230 kV transmission projects scheduled for completion in 2021.