bluuebunny/crossref_metadata_2025_split huggingface dataset:
Turismo educacional com foco no intercâmbio acadêmico dos docentes da Faculdade de Turismo da Universidade Federal do Pará
Authors: Silva Lia Rodrigues da , Freitas Bernadete Do Socorro Gomes , Mendes Fabrício Lemos de Siqueira , Campos Raul Ivan Raiol , Pinto Paulo Moreira 
Published: February 2022

<p>O presente trabalho tem como objetivo analisar os intercâmbios acadêmicos dos docentes da Faculdade de Turismo da Universidade Federal do Pará e como os intercâmbios contribuíram para as suas formações acadêmicas. O turismo educacional com foco no Intercâmbio Acadêmico (IA) difere dos demais segmentos de turismo por acontecer fora do tempo de lazer. Isso faz com que esse tipo de atividade se torne turística porque há um deslocamento do lugar comum de ensino em busca do novo, envolvendo o processo de ensino-aprendizagem durante o percurso. Trata-se de uma pesquisa quali-quantitativa, cuja coleta de dados foi realizada entre os meses de novembro e dezembro de 2017. O instrumento da coleta de dados foi um questionário previamente preparado com perguntas abertas e fechadas. Os resultados apontam o que o IA traz para a formação dos docentes e a sua contribuição direta na formação desse público. Observa-se que, com essa estratégia de busca por conhecimento, é possível estabelecer uma rede a qual possibilita identificar as dificuldades, motivações e expectativas que o intercâmbio promove tanto para os docentes quanto para os discentes da Graduação em Turismo na Amazônia. </p>
A Quality Improvement Initiative: A Nurse Practitioner-Led Interdisciplinary Approach to Reducing Readmissions in the Subacute Population
Authors: Rovito Clare , Fagan Kathleen 
Published: February 2022

BackgroundTo decrease the 30-day Subacute Readmissions in an outpatient facility by using an Advanced Practice Nurse (APN) Project Leader while applying evidence based transitional care processes.ObjectiveDetermine the effects of APN leadership within the Interdisciplinary Team in the subacute setting.MethodsImmersion of an APN as Project Leader over a 12-week period.ResultsOutcomes were divided into three groups. They were reorganized and analyzed. The new breakdown included patients readmitted plus hospice referrals (n = 5) and those not readmitted (n = 4). A significant difference in the 30-day outcomes as well as the LACE variable comorbidity scores t (4) = 2.95, p = 0.0418 were identified.ConclusionsThe 30-day readmission rates were decreased using hospice as a referral source. Application of the Lippitt’s Model of Planned Change and the use of the LACE Scoring Tool were instrumental to the success of this project.Implications for NursingTo improve optimal outcomes it is necessary for the APN/Doctor of Nursing Practice (DNP) and other healthcare professionals to engage in collaborative practices that result in effective policy changes. This quality improvement project restructured the existing Interdisciplinary Team processes to include the APN Project Leader with improved patient-centered outcomes.
Planes, Trains, and Automobiles: Use of Carbon Dioxide Monitoring to Assess Ventilation During Travel
Authors: Cadnum Jennifer , Alhmidi Heba , Donskey Curtis 
Published: February 2022

Background: Travel poses a risk for transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses. Poorly ventilated indoor settings pose a particularly high risk for transmission.
Methods: We used carbon dioxide measurements to assess adequacy of ventilation during 5 trips that included air travel. During selected parts of each trip that involved indoor settings, we monitored carbon dioxide levels every 1 minute and recorded peak levels and the number of people present. Carbon dioxide readings above 800 parts per million (ppm) were considered an indicator of suboptimal ventilation.
Results: Carbon dioxide levels remained below 800 ppm during train rides to and from the airport and inside airports except in a crowded boarding area with ~300 people present. Carbon dioxide levels exceeded 800 ppm inside the airplanes, but the air was filtered with high efficiency particulate air filters. Carbon dioxide levels remained below 800 ppm in common areas of a hotel but exceeded 800 ppm in a hotel room with 2 to 3 occupants and in a fitness center with 3 people exercising. In restaurants, carbon dioxide levels increased above 800 ppm during crowded conditions with 24 or more people present and 75% or more seat occupancy.
Conclusion: Our results suggest that ventilation may be sufficient to minimize the risk for airborne transmission in many situations during travel. However, ventilation may be suboptimal in some areas or under certain conditions such as in hotel rooms or when restaurants, fitness centers, or airplane boarding areas are crowded. There is a need for larger scale studies to assess the quality of ventilation in a wide range of community settings.
Analisis Penyebaran Penyakit Covid-19 dengan Pengaruh Pengobatan Isolasi Mandiri dan Pengobatan Perawatan Rumah Sakit (Studi Kasus Penyebaran di DKI Jakarta)
Authors: Adam Victorio Alexis  , Fariani Hermin Indiyah  , Eti Dwi Wiraningsih  
Published: February 2022

In this research, a model for the spread of Covid-19 will be built using a differential equation because in the population there are two subpopulations who can spread the disease, there is one subpopulation who go through incubation period, and there are also 2 subpopulations who go through the treatment so the model will consists of compartments such as susceptible, exposed, asymptomatically infectious, symptomatically infectious, treatment 1 (self-isolation), treatment 2 (hospital care), and recovered. Analysis begins by calculating the disease-free equilibrium and endemic equilibrium. Before stability analysis, the model must be checked for adequacy in describing the disease spread. Stability analysis begins by forming the next generation matrix of the model with helps of jacobian matrix and chracteristic equation, then we can get basic reproduction number. By entering the value of parameters according to data to the basic reproduction number, we get reproduction number is 0,851115. The size of reproduction number means that the disease will disappear from the population.
Dynamic Evaluation and Analysis of Regional Innovation Capability in Eastern China from the Perspective of High-quality Development
Authors: Xu Linming , Lu Jincheng , Li Meijuan , He Lerong 
Published: February 2022

Abstract
The economy of China has turned to the stage of high-quality development. In this sense, the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-centered philosophy of development and better living conditions. This study aims at establishing the evaluation index system of regional innovation capacity under high-quality perspective. Then the dynamic evaluation method based on gray correlation degree and TOPSIS is improved. And the improved method is applied to evaluate the regional innovation capacity under high-quality development perspective. The results show that: 1) The regional innovation capacity of Jiangsu, Zhejiang, Shanghai and Guangdong under high-quality development perspective is better than other regions, while the regional innovation capacity of Beijing-Tianjin-Hebei is imbalanced. Regional innovation capability of Fujian, Shandong, and Hainan from a high-quality perspective is at the middle and lower levels. 2) From the perspective of development trends, the gap of regional innovation capacity between Beijing, Jiangsu, Zhejiang, Shanghai, Guangdong and Fujian, Hebei, Shandong is gradually narrowing. 3) An in-depth analysis of the regional innovation capability of the eastern provinces and cities from the perspective of high-quality development through different dimensions shows that Beijing, Guang-dong, Jiangsu perform well in all dimensions, while Fujian and Hainan need to pay more attention to innovation input and the creation of a better innovation environment to enhance innovation output and promote innovation effectiveness. At last, based on above analysis, relevant policy recommendations are proposed.
The Produced Water Conundrum Grows Across Unconventionals
Authors: Wright Blake 
Published: February 2022

Shale players have a love-hate relationship with water. It’s an essential ally going into downhole to help proliferate fractures in the subsurface and free up stuck hydrocarbons. It’s a parasite coming out - a briny byproduct that can easily outpace oil production from any given well.
Likewise, operators must deal with water management on dual fronts. The first is sourcing the water to be used in the fracturing of the well. Second is finding the right solution for the flowback and formation water coming out of the well. Early on, the answer for the former was freshwater sources. However, once the strain set in from general scarcity, drought, environmental concerns or the like, industry started looking hard at the recycle and reuse of produced water - a solution where the problem becomes the answer.
Water recycling rates vary widely between unconventional basins. For the domestic oil industry, data provider IHS Markit forecast in an April 2020 report the vast majority of wastewater leaving an oil field in 2022 will still not be recycled. It will instead be injected into disposal wells, which is currently the most common practice for produced water management. This option is costly and risky, especially for wells that are located some distance from the nearest disposal well. It has also come under increased scrutiny because of the potential effects of disposal well use on the surrounding area’s seismic activity.
“Going back to the beginning of unconventional resource production, the focus was understandably on the water needed for drilling and completions,” Paola Perez-Pena, a principal researcher at IHS Markit, commented in an analysis. “Now that there is a considerable, established production, operators are realizing the extent to which produced water is not only a sizable matter, but an ongoing and essentially, perpetual one.”
Produced water is a mix of the water pumped down the well to assist with fracturing plus residual drilling fluid and formation water. On average, with every barrel of oil produced in the US, more than 4 bbl of wastewater is produced, though that number varies from basin to basin.
“With water, what you find is producers consider a number of different piping configurations, storage, and disposal well options, as well as reuse opportunities,” said John Walsh, principal technologist for Worley Advisian and author of the book, Produced Water. “There’s no one single strategy or approach that’s going to solve the water problem. There is no silver bullet.”
According to an industry brief by Raymond James in July 2019, pre-pandemic US oilfield water production was already a whopping 50 million BWPD. For scale, this amount of water could cover more than 8,000 football fields with a foot of water, every day. The investment bank estimated just under half of the total produced water came from horizontal basins, despite making up close to 80% of onshore crude production. The report forecast that the total volume of produced water from major oil basins in the US could grow to more than 60 million BWPD by 2030 (Fig. 1).
Technology Focus: Mature Fields and Well Revitalization (January 2022)
Authors: Marathe R. V. 
Published: February 2022

The highlight of this year’s feature on mature fields and well revitalization has been the increasing use of artificial intelligence (AI) and machine learning (ML) for analysis of mature assets. Many paper proposals studied using AI/ML techniques cover a wide range of topics including optimization of production operations, faster reservoir characterization of mature fields, and improvement of ongoing waterfloods. In fact, increased use of AI/ML has been a recurring theme in many of the areas covered in the Technology Focus sections of 2021’s JPT issues. There has also been a focus on implementing novel technologies such as the use of autonomous inflow-control devices in horizontal wells to suppress ingress of unwanted fluids in thin-oil-rim reservoirs, using integrated-asset models for debottlenecking, and the use of cased-hole logging in old wells to look for missed opportunities.
After serving for 5 years, my time for writing this column is coming to an end. It has been
a highly rewarding exercise going through the paper proposals, experiencing the hard work put in by industry professionals to arrest inevitably declining production from mature assets by putting together ideas in diverse ﬁelds such as reservoir management, production optimization, drilling, and formation evaluation to produce the extra barrel from mature brownﬁelds.
Out of the 314 paper proposals studied in these 5 years, 137 (44%) dealt with waterﬂood improvement, reservoir characterization, and simulation, and approximately 78 papers (25%) dealt with well revitalization involving workover drilling, completion, and stimulation. Sustaining production from mature brownﬁelds challenges the best from each discipline, and signiﬁcant success stories have come from a genuine collaboration of ideas across disciplines from subsurface to engineering.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 206195 - Data-Driven Optimization of Intermittent Gas Production in Mature Fields Assisted by Deep Learning and a Population-Based Global Optimizer by Javier Fatou Gómez, TNO, et al.
SPE 205546 - Role of Geomechanics in Identification of Possible Mechanisms for Nonproductive Time and Improving Drilling Operations in a Mature Field in Offshore Sarawak, Malaysia by Avirup Chatterjee, Baker Hughes, et al.
SPE 206303 - Combining Capacitance Resistance Model With Geological Data for Large Reservoirs by Davud Davudov, Resermine, et al.
Cementless Well-Construction Possibilities Offer Cost, Emissions Reductions
Authors: Carpenter Chris 
Published: February 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 206052, “Cementless Well Construction Opens Full Control of Well Integrity for the Life of the Well,” by Catalin Teodoriu, SPE, and Opeyemi Bello, University of Oklahoma, and R.R. Vasquez, Welltec, et al. The paper has not been peer reviewed.
Well construction has relied on two main elements—casing and cement—to achieve well goals while maintaining the highest possible well integrity. Can cementless well construction achieve similar goals? The complete paper investigates various well-construction concepts and analyzes the ability of cement to withstand long-term well loads.

Introduction
Well integrity is a fusion of several disciplines with the ultimate purpose of preventing well-control incidents during the life cycle of the well. The best chance of minimizing well integrity challenges is during the well-construction phase. In a situation in which the basis of design has established discrete criteria, however, any associated modiﬁcation must be highly controlled because failure to do so may have an ultimately detrimental eﬀect on long-term well integrity. In its simplest deﬁnition, well integrity denotes the ability of a well to produce or inject ﬂuids in a controlled manner while preventing any unwanted ﬂuid migration outside the well system.
Previous studies revealed that the integrity of well barriers is aﬀected signiﬁcantly by the degradation of drilling and completion ﬂuids, cement, and tubular materials. The main causes of well integrity loss are a lack of understanding of downhole conditions, temperature changes in casing ﬂuids (inducing casing expansion and contraction) imposing stresses on the cement/casing interface, inappropriate well-construction practices, poor selection of casing material and cementing type, and inadequate design veriﬁcation and validation of the downhole specimen.
The cement sheath is not always able to deliver an acceptable long-term solution for demanding drilling environments. Recently, advances in cement and well-completion practices have improved the quality of wells signiﬁcantly and have extended their operational life.
This paper presents a novel technology based on metal expandable packers (MEP) that enables cementless annular isolation across highly layered formations, providing long-length openhole zonal isolation to replace traditional cement operations, leading to signiﬁcant time savings and operational eﬃciency in the overall well- construction process and securing better economic return on the wells.
Machine-Learning Techniques Characterize Source-Rock Images at the Pore Scale
Authors: Carpenter Chris 
Published: February 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 208632, “Reconstruction and Synthesis of Source-Rock Images at the Pore Scale,” by Timothy Anderson, SPE, Stanford University. The paper has not been peer reviewed.
Nanoimaging techniques for characterizing pore-scale structure of shales trade oﬀ between high-resolution/high-contrast sample-destructive imaging modalities and low-contrast/low-resolution sample-preserving modalities. Acquisition of nanoscale images also is often time-consuming and expensive. In the complete paper, the author introduces methods for overcoming these challenges in image-based characterization of the fabric of shale source rocks using deep-learning models.

Introduction
A promising application of data-driven scale-translation techniques is nanoscale imaging. This application is important for studying shales because of the importance of nanoporosity in shale gas storage. Nanoimaging techniques, however, present speciﬁc challenges and can result in small image data sets that do not allow for accurate quantiﬁcation of petrophysical or morphological properties. Consequently, data translation and generation both oﬀer many opportunities to assimilate multiple nano- and microscale modalities and to overcome limitations of nanoimaging systems.
The author proposes an image-based characterization work ﬂow (Fig. 1) for data-driven scale translation that uses deep-learning image synthesis and translation models to assimilate multimodal, multiscale, and data-scarce source-rock images for predicting petrophysical and morphological properties. A central challenge in source-rock characterization addressed in this work is the reconstruction of 3D volumes when only 2D training images are available. Image-translation models are presented for reconstruction of 3D image volumes from 2D training data and a porous media image-synthesis algorithm that generalizes to 3D grayscale and multimodal volume generation from 2D training data. The complete paper describes the translation and synthesis models, applies these models to source-rock image data sets, and discusses extensions and future directions for the introduced work ﬂow.
The causal relationship between sleep traits and the risk of schizophrenia: a two-sample bidirectional Mendelian randomization study
Authors: Wang Zhen , Chen Miao , Wei Yin-ze , Zhuo Chen-gui , Xu Hongfei , Li weidong , Ma liang 
Published: February 2022

Abstract
Background: Observational studies suggest that sleep disturbances are commonly associated with schizophrenia. However, it is uncertain whether this relationship is causal. To investigate the bidirectional causal relation between sleep traits and schizophrenia, we performed a two-sample bidirectional Mendelian randomization (MR) study with the fixed effects inverse-variance weighted (IVW) method. Methods: As genetic variants for sleep traits, we selected variants from each meta-analysis of genome-wide association studies (GWASs) conducted using data from the UK Biobank (UKB). Results: We found that morning diurnal preference was associated with a lower risk of schizophrenia, while long sleep duration and daytime napping were associated with a higher risk of schizophrenia. Multivariable MR analysis also showed that sleep duration was associated with a higher risk of schizophrenia after adjusting for other sleep traits. Furthermore, genetically predicted schizophrenia was negatively associated with morning diurnal preference and short sleep duration and was positively associated with daytime napping and long sleep duration.Conclusions: Therefore, sleep traits were identified as a potential treatment target for patients with schizophrenia.
Psychometric Properties and Hidden Dimensionality of the Sinhala Version of End Stage Renal Disease Adherence Questionnaire (SINESRD-AQ) Among Patients Receiving Haemodialysis in a Selected Hospital in Sri Lanka
Authors: Lasanthika Chalani , Wanigasuriya Kamani , Hettiaratchi Usha , Amarasekara Thamara Dilhani , Goonewardena Christine Sampatha Evangeline 
Published: February 2022

Abstract
ObjectiveThe purpose of this study was to evaluate the psychometric properties of Sinhala translated version of End Stage Renal Disease Adherence Questionnaire (SINESRD-AQ). ResultsA total of 150 patients with mean age of 54.08±10.78 (±SD) years were included. Majority were males (72.7%). Excellent face and content validity of SINESRD-AQ was reported with an average I-CVI of 0.93. The Confirmatory Factor Analysis of two subscales of ESRD-AQ demonstrated barely acceptable model fit (SRMR=0.120, CFI=0.913, GFI=0.997, AGFI=0.996, NNFI=0.896). Subsequent Non-linear Principal Component Analysis (CATPCA), O’Connor parallel analysis and Cattell’s Scree plot revealed new dimensionality with five components of SINESRD-AQ explaining 74% of the total variance. Acceptable level of Cronbach’s Alpha and composite reliability confirmed the internal consistency reliability of new dimensionality. Convergent validity of new dimensionality was confirmed with Composite Reliability (CR) and Average Variance Extracted (AVE) with the values greater than 0.7 and 0.5 respectively. According to the Fornell Larcker criterion (1971), the square root of AVEs of components were greater than the inter component correlations and heterotrait-monotrait values were less than the threshold of 0.85 demonstrated the discriminant validity of new dimensionality.
The complete chloroplast genome sequence of wax gourd (Benincasa hispida), and comparative analyses with related species revealing evolutionary dynamics within Benincaseae
Authors: Song Weicai , Chen Zimeng , He Li , Qi Feng , Zhang Hongrui , Shi Chao , Wang Shuo 
Published: February 2022

Abstract
Benincasa hispida (wax gourd) is a crucial important crop of Cucurbitaceae with enormous economic and medicinal importance. Here, we first report the de novo assembled and completely annotated the chloroplast genome of wax gourd with 156,758 bp in total that comprises of a large single copy (LSC) region with 86,538 bp and a small single copy (SSC) region with 18,060 bp, separated by a pair of inverted repeats (IRa and IRb) with 26,080 bp each. The chloroplast genome contains 131 genes, including 86 protein-coding genes, 37 tRNAs and 8 rRNAs. Comparison analyses among B. hispida and three other species from Benincaseae presented a great extent of conversation regarding nucleotide content, genome structure, codon usage, synonymous and non-synonymous substitutions, putative RNA editing sites, microsatellites, and oligonucleotide repeats. LSC and SSC regions were detected to be much more variety than IR regions through divergent analysis among species within Benincaseae. Notable IR contraction and expansions were observed, causing the difference in genome size and gene duplication, deletion and the presence of pseudogenes. Intronic gene sequences such as trnR-UCU – atpA, atpH – atpI were observed as high divergent regions and genes namely ycf1, accD, ccsA and matK presented more various than other genes. Two types of phylogenetic analysis based on complete cp genome and 72 genes suggested the sister relationships of B. hispida with genus Citrullus, Lagenaria and Cucumis. The cp genome of B. hispida provide valuable genetic resource for the detection of molecular marker, research of the taxonomic discrepancies and the inference of phylogenetic relationships among species within Cucurbitaceae.