bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic Research Output among the Shanghai Cooperation Organizations (SCO) Countries - A Scientometric Analysis
Authors: P V Vijesh , Joy Varghese , Jose Jobin , Murali Saran 
Published: August 2024

The Shanghai Cooperation Organization (SCO), the political and economic alliance of countries in the Eurasian region, has a significant role in the economic development of its member nations. This study examines the research performance of the Shanghai Cooperation Organization, which was assessed using the cite space software, with all data retrieved from the Web of Science (WoS) database. A Total of 810 publications were taken from the Web of Science database for analysis. The study analysed the broad features of economic research output, focusing on Top cited institutions, different subject areas, top country-wise contributors, top authors, journals, etc. The study found that being an economic cooperation treaty like the Shanghai organization, the economic cooperation and economic research output were revealed and discussed for the first time in worldwide references. The analysis of citation counts highlights the dominance of Chinese institutions in terms of research impact. The Chinese Academy of Sciences stands out as the most cited institution, indicating its significant contribution to the economic research output among the SCO countries. The areas of interest within the economic research output of the SCO countries are environmental sciences and studies, followed by green and sustainable science and technology, public and occupational health, economics, and interdisciplinary mathematics applications.
JEL Codes: F5, O5, O4
Received: 14/12/2023. Accepted: 26/05/2024. Published: 28/06/2024.
Innovative Strategies to Prevent Childhood Smoking Epidemic: Systematic Review
Authors: Ahsanu Bil Husna  , Ira Nurmala  , Nendy Putra Salsabila  
Published: August 2024

Background: The phenomenon of smoking in children is a serious problem. There are still many minors who smoke and traders who still sell cigarettes to them. Although regulation regarding this issue has been established, legal attention to this problem is still fairly minimal; this shows the need for law enforcement and further protection for children. The rate of e-cigarette use among children aged 13–15 years is higher than adults across WHO regions. Aims: This research aimed to determine how efforts have been made to reduce smoking prevalence in children. Method: This literature study used a Systematic Literature Review (SLR). PubMed, Science Direct, ResearchGate, and Google Scholar were used for the literature search. The keywords used were "Child Smoking," or "Child Cigarettes" and "Smoking Policy" or "Child Smoker". Results: Several efforts were made to reduce the prevalence of smoking in children, including legal protection efforts related to cigarette advertising regulations, restriction on cigarette dealers, prevention on selling cigarettes to children, expanding the implementation of KTR, providing smoking cessation services for children, mass campaigns and education for children, improving fiscal policy, and making innovation such as "Smoking Prevention in School Children in Hospitals" program and an idea called cigarette vending machine. Conclusion: Regulations related to cigarette use must continue to be pursued and implemented according to standards following local government policies by paying attention to the principles and guidelines provided. Families also play a role in helping to prevent the initiation of smoking in children.
Preoperative Evaluation for Free Functional Muscle Transfer in Upper Extremity Amyoplasia
Authors: Sullivan Mikaela H. , Vilkki Simo K. , Raja Sabapathy S. , Venkatramani Hari , Shin Alexander Y. , Pulos Nicholas 
Published: August 2024

Case:
A multicenter series of 3 patients with amyoplasia of the upper extremity were indicated for gracilis free functional muscle transfer (FFMT) to restore elbow flexion and found to have an absent gracilis. A final case is discussed detailing standardized evaluation with ultrasound to confirm gracilis before surgical intervention.

Conclusion:
In amyoplasia, the gracilis muscle may be absent or have fatty infiltration, making this donor muscle inadequate. Preoperative ultrasound to determine the presence of the gracilis is noninvasive and recommended in patients with amyoplasia of the upper extremity being considered for FFMT.
Influence of abstract thinking style on morality and sociability attributed to immigrants by people with more conservative ideologies
Authors: Caballero Gonzalez Amparo , Fernández Itziar , Laforêt Bronwyn , Carrera Pilar 
Published: August 2024

In current society, immigration is a reality that poses important challenges. Identifying factors that favor a more positive evaluation of immigrants could lead to new avenues of intervention to achieve more positive intergroup relationships and greater social well-being. Given that a more abstract thinking style promotes less focus on obstacles and difficulties, the aim of the present study was to examine the link between construal level and stereotype, focusing on people with a more conservative ideology, a population that tends to have a higher level of prejudice towards immigrants. We hypothesized that conservative people with a more abstract thinking style would report less negative stereotypes than those with a more concrete thinking style. In a sample of Spanish adults (N = 1,208, 60.1% women), we applied a questionnaire measuring thinking style, ideology, the degree to which immigrants are perceived as competitors, and the dimension of warmth (morality and sociability) of the stereotype content of that group. We found that more conservative people perceived, to a greater extent, immigrants as competitors and considered them less moral and sociable. However, the warmth (morality and sociability) attributed to immigrants was significantly higher for those conservative individuals who presented more abstract thinking style, with perceived competition as the mediating variable. As it is possible to induce a more abstract thinking style, the results of this study open a new avenue for intervention in promoting more positive attitudes toward immigrants, especially in more conservative people who tend to present more negative stereotypes towards this collective.
Guest Editorial: Where Are Refracs Going, and Can We Make Them a Sure Thing?
Authors: Goodwin Alex , Nguyen Alex 
Published: August 2024

Unlike new-drill wells, refrac wells don’t offer operators any flexibility on drilling location or where to land a lateral. These factors are already decided, which makes the keys to success twofold: picking the right refrac candidates and executing them with minimal operational risk.
With over 300 refracs under our belt, Vertice Oil Tools has had a front-row seat to the evolution of refrac technology and its significant impact for operators in the Lower 48 states.
Our journey with refracs, specifically mechanically isolated, or “ISO refracs” as we call them, started in 2018 in the Eagle Ford Shale and now includes over 100 patents and patents-pending, a quarter of which are specific to our refrac technology.
When we entered the market, operators were beginning to test refracs by cementing 4-in. casing inside of 5½-in. casing and then refracturing. Many of these first refrac pilots faced challenges. Oftentimes, the candidate selection might have been optimal, but the operational risk was high.
Refrac liner systems and other refrac tools have since matured and offer greater operational reliability along with lower costs.
At the same time, merger and acquisition activity in the tight-oil and gas industry has picked up as operators move to build up their inventory of new drilling locations. But one other driver that is emerging from the dealmaking is extracting more barrels from existing assets through refracturing.
At Vertice, we have identified what we believe to be almost 10,000 Tier 1 wells that are potentially prime candidates for refracturing. If properly executed, we estimate that refracs of these wells could generate more than $50 billion at a net present value at a 10% discount rate, or NPV-10.
At current commodity prices, the NPV-10 of a Eagle Ford or Bakken Shale refrac well is typically between $3.5 to $4.0 million with a payback between 1 to 2 years.
Given the fast cycle times of the shale sector, initial rates of return on refracs are also often north of 100%. With such returns, which often exceed those of new wells, refracs have increasingly become a key strategy for operators, and activity is expected to more than double this year.
With ISO refrac activity also expected to more than double this year, we believe the market is poised for continued growth.
While the Eagle Ford remains a hotspot, activity in the Bakken is catching up, and we believe other maturing basins will follow the trend as drilling inventory shrinks and refrac costs continue to drop.
We also see the industry moving towards more sophisticated refrac techniques, including protective refracs, where a refrac well is treated alongside newly stimulated wells on the same pad to achieve cost efficiencies and mitigate frac hits.
Machine Learning Aids Imputation of Missing Petrophysical Data in Iraqi Reservoir
Authors: Carpenter Chris 
Published: August 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 218890, “Applied Machine Learning for the Imputation of Missing Core Petrophysical Property Data in Clastic and Carbonate Reservoirs,” by Hussein B. Abdulkhaleq, Basrah University for Oil and Gas; Watheq J. Al-Mudhafar, SPE, Basrah Oil Company; and David A. Wood, DWA Energy, et al. The paper has not been peer reviewed.

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The study described in the complete paper comprehensively compares seven imputation techniques for predicting missing core-measured horizontal and vertical permeability and porosity data in two wells drilled in the North Rumaila oil field of southern Iraq. The results reveal that a data-imputation method consisting of multivariate imputation by chained equations (MICE) combined with classification and regression trees (CART) outperforms the other methods with the clastic and carbonate data sets studied. The novel workflow is suitable for application in both clastic and carbonate reservoir formations.

Introduction
To account for reservoir heterogeneity in 3D reservoir modeling, advanced techniques are required to improve the accuracy and reliability of estimating missing core-analysis data points. The imputation of missing data refers to a range of statistical and machine-learning (ML) methods that supplement core-sample reanalysis or additional core-sample collection to fill data gaps.
This study evaluates seven data-imputation methods involving ML algorithms:
- Iterative robust model-based imputation (IRMI)
- MICE combined with CART
- Random imputation of missing data (RIMD)
- Sequential imputation (SEQimpute)
- Random forest imputation (RF)
- Principal component analysis imputation (PCA)
- Multiple imputation of incomplete multivariate data (AMELIA package)
These core-data imputation methods are applied to two wells penetrating the clastic Zubair formation of the North Rumaila oil field. The results are assessed by univariate statistical analysis and illustrated using histograms and box plots. The results are sufficiently encouraging to justify the application of the methodology to other clastic and carbonate reservoirs but require additional assessment with a wide range of core-analysis data sets.

Geological Setting
Rumaila covers an area of 1600 km2 and represents a north/south anticline extending from the border with Kuwait in the south toward the West Qurna oilfield to the north. The Rumaila anticline includes two domal compartments (north and south). The North Rumaila structure was drilled as a stepout well to further delineate the Mishrif formation (main reservoir) and test the underlying Zubair formation.
Subsea Development Challenges Overcome in the Mero Field
Authors: Carpenter Chris 
Published: August 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 32705, “Mero Field: Subsea Development Challenges,” by Leonidio Buk Jr., Rafael M. Pereira, and Claudio J.G.M. Valença, Petrobras, et al. The paper has not been peer reviewed. Copyright 2024 Offshore Technology Conference.

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The complete paper presents the technological achievements in the subsea scope of the Mero field development. Mero is the third-largest presalt field and the first developed under a production sharing contract (PSC). The paper details the subsea system development for the Mero field that was recognized with the Distinguished Achievement Award by OTC Brazil and how Mero early production system (EPS) operation influenced the final configuration for all Mero projects. The paper also presents the technical challenges that had to be overcome to initiate production successfully.

Introduction
The Libra block is approximately 180 km from Rio de Janeiro in ultradeep water of the Santos Basin varying from 1700 to 2400 m, under a presalt layer. The prospect area is close to 1500 km2. The reservoir fluid has a gas/oil ratio (GOR) of 440 sm3/sm3 and CO2 content in gas varying from 40 to 45% in volume. These conditions carry many challenges that must be overcome to develop the subsea production system.
Four years after the signing of the PSC in November 2017, a Libra extended well test (EWT) produced the block’s first oil with the floating production, storage, and offloading (FPSO) vessel Pioneiro de Libra declaring northwest block-portion commerciality. The asset was thence named Mero Field. From that point, the Libra EWT became known as the EPS, continuing foreseen planned tests in the field and interconnecting the FPSO to different producer and injection wells to gather valuable reservoir information to drive block development. In April 2022, Mero 1, the first permanent project in the Mero field, began production with FPSO Guanabara.
To explore, derisk, and optimize the development concept of the large Mero field, the Libra Consortium launched an EWT campaign using the Pioneiro da Libra as it moved between different locations in the field. This FPSO vessel connected to one or two production wells and one injection well in each location. The development concept used flexible lines and thermoplastic umbilicals. The FPSO started operation in 2017. At the time of writing, the FPSO has performed three EWTs combining different production and injection wells.

Mero Projects
By 2025, the Mero field will have four additional FPSO vessels besides Pioneiro de Libra. The first is Guanabara, which began producing in April of 2022 in the Mero 1 area. The second is Sepetiba, which will begin operations in the Mero 2 project area, followed by Marechal Duque de Caxias in Mero 3, and Alexandre de Gusmão in Mero 4 (Fig. 1).
Bridging the Gap Between GPDR and Software Development: The MATERIALIST Framework
Authors: Saltarella Marco , Desolda Giuseppe , Esposito Andrea , Greco Francesco , Lanzilotti Rosa 
Published: August 2024

Abstract

As software production evolves, privacy is becoming an increasingly important consideration. This is especially true as national and supranational regulations, such as GDPR, require privacy as a mandatory aspect of software development. However, challenges such as a lack of knowledge about privacy and data protection regulations hinder the adoption of effective and compliant privacy implementation mechanisms. To address this issue, this article presents MATERIALIST, a methodological and technological framework that supports stakeholders involved in a software development lifecycle in including GDPR in their activities. Specifically, it provides design patterns that can be selected starting from GDPR articles, code vulnerabilities, and software lifecycle phases. The framework aims to facilitate the adoption of appropriate privacy implementation mechanisms in the software development lifecycle, thereby improving software quality.
Transgenic Tomato Strategies Targeting Whitefly Eggs from Apoplastic or Ovary-Directed Proteins
Authors: Thompson Natalie S. , Anwar Aliya Fathima , Krum David , Ream Michael , Shouse Eva , Weston Zachary , Chen Yun-Ru , Sam Aisa , Deguchi Michihito , Kariuki Samwel M. , Rudrabhatla Sairam V. , Curtis Wayne R. 
Published: August 2024

Abstract

Background
Transgenic plants expressing proteins that target the eggs of the ubiquitous plant pest Bemisia tabaci (whitefly) could be an effective insecticide strategy. Two approaches for protein delivery are assessed using the mCherry reporter gene in transgenic tomato plants, while accommodating autofluorescence in both the plant, phloem-feeding whitefly and pedicle-attached eggs.
Results
Both transgenic strategies were segregated to homozygous genotype using digital PCR. The first strategy uses a glycotransferase secretion signal peptide. Despite bright apoplastic accumulation, mCherry is not evident in the eggs. The second strategy targets in vivo whitefly eggs, where the mCherry transgene was fused to a protein transduction domain (PTD) to facilitate uptake into the whitefly hemolymph as well as a synthetic vitellogenin ovary-targeting sequence. Phloem-specific expression of the mCherry fusion is achieved from a Commelina viral promoter. Accumulation was not sufficient to be observed in females feeding on these ovary-targeting plants nor in their eggs subsequently laid on non-transgenic plants. Egg protection may be mediated by protease activity which is observed in macerated eggs.
Conclusions
mCherry proved an effective reporter for the desired tissue-specific expression in tomato, but insufficiently sensitive to allow for localization in feeding whiteflies or their eggs. Segregated homozygous transgenic tomato lines were important for drawing these conclusions. The implications of these observations to possible pest-control strategies including preliminary expression of analogous chitinase constructs are discussed.
Heterogenous causal effects of serum fatty acid levels on the risk of cerebral and abdominal aortic aneurysm: a Mendelian Randomization study
Authors: Hang Ji , Yujing Han , Hailan Yang , Yue Li , Guicheng Kuang , Shaoshan Hu , Chao You , Haogeng Sun , Chaofeng Fan , Liu Yi 
Published: August 2024

Abstract

The presence of aneurysms, encompassing cerebral and abdominal aortic aneurysms, poses significant risks to individuals' health. The serum fatty acids (FAs) are implicated in various diseases, yet their causal association with different aneurysms remain less understood. In this study, the summary-level datasets associated with FAs and cerebral and abdominal aortic aneurysms from the UK Biobank and BioBank Japan were included. Two-sample Mendelian randomization (MR) analysis, replicated and reverse MR analysis were conducted to explore the causal association between serum FA levels with both cerebral aneurysm (CA) and abdominal aortic aneurysm (AA). The inverse variance weighting (IVW) was used as the primary method, together with sensitivity analyses for pleiotropy and heterogenous tests. As a result, the ratio of omega-6 FAs to omega-3 FAs serves as a detrimental effector of CA, and ratio of docosahexaenoic acid to total FA levels, omega-3 FA levels and ratio of omega-3 FAs to total FAs are beneficial effectors. Counterintuitively, monounsaturated FAs (MUFAs), ratio of MUFAs to total FAs, and omega-6 FAs serve as detrimental effectors of AA. Collectively, these results suggest novel serum FA levels of causal association with CA and AA, and shed light upon the distinct molecular underpinnings of the two types of aneurysms.
Earthquake Risk Scenarios in Urban Areas using Machine learning: A case study of Skikda city, Algeria
Authors: Guettiche Abdelheq , Soltane Mohamed Abdelali 
Published: August 2024

Abstract

This study aims to implement two distinct approaches for evaluating the seismic vulnerability of Skikda city. The first approach is the traditional European macroseismic Risk-UE LM1 method, which involves in-situ surveys of building characteristics. However, this approach is time-consuming, costly, and necessitates the involvement of highly qualified personnel. The second approach utilizes a data-mining technique called Association Rule Learning (ARL) to minimize the need for extensive building attribute data. The ARL method associates building attributes with the European Macroseismic Scale (EMS-98) vulnerability classes obtained from visual observation surveys. We then validated the obtained vulnerability proxies in the Skikda database. While minor variations exist in the probability of exceeding the specified damage level, a comparison of Risk-UE LM1 and ARL results confirms the general reliability of the seismic vulnerability assessment. The damage estimates are evaluated against deterministic and probabilistic scenarios, considering moderate to severe damage and other impacts such as human casualties, direct economic costs, and debris volumes.
Spatiotemporal Variational Autoencoder forIntersection Pedestrian Trajectory Prediction
Authors: Yu Qing , Xu Zhenwei , Zhou Yaoyong , Zeng Jiaqi , Silamu Wushouer 
Published: August 2024

Abstract

This paper proposes an innovative Spatiotemporal Variational Autoencoder (ST-VAE) model, aimed at effectively capturing the spatiotemporal features of pedestrian behavior to enhance the accuracy of pedestrian trajectory prediction at intersections. To address the complex relationships in pedestrian social interactions, the paper designs a Social Graph Attention Network (SGAT) that dynamically identifies the relative importance of traffic participants, optimizing interaction analysis. Additionally, the paper introduces a Complex Gated Recurrent Unit (CGRU) to accurately capture the dynamic changes in time series data, thereby optimizing future trajectory predictions.To eliminate bias and improve prediction accuracy, the paper designs a Diversity-Enhanced Final Position Clustering (DEFPC) method as a post-processing technique. Evaluation results on four public datasets show that the ST-VAE model reduces the Average Displacement Error (ADE) and Final Displacement Error (FDE) by 27.2% and 18.2%, respectively, compared to the current best benchmark model SocialCVAE, demonstrating significant performance advantages. Further ablation studies reveal the specific contributions of each component to the model's performance, confirming the effectiveness and robustness of ST-VAE in handling diverse environments and complex interaction scenarios.Overall, the ST-VAE model not only provides new perspectives for pedestrian trajectory prediction technology but also offers solid technical support for the development of autonomous driving planning systems, showcasing the immense potential of deep learning in intelligent transportation system applications. Through innovative model design and comprehensive experimental validation, this paper provides new methodologies for efficient pedestrian trajectory prediction, advancing the development of the intelligent transportation field.