bluuebunny/crossref_metadata_2025_split huggingface dataset:
DSC Analysis of the Effect of Cold Deformation on the Precipitation Kinetics of a Binary Cu-SC Alloy
Authors: Henle Ramona Lucy , Dölling Julia , Prahl Ulrich , Nandi Gerrit , Zilly Andreas 
Published: April 2023

The present study aimed to investigate the effect of cold deformation on the precipitation kinetics of a binary CuSc alloy containing 0.4 wt.% scandium using the experimental analysis method of differential scanning calorimetry (DSC). Non-deformed and 75% cross-section reduced cold-rolled, supersaturated specimens were tested at non-isothermal DSC runs at up to five different heating rates. The DSC results showed that cold deformation significantly accelerated the precipitation process in the binary alloy, leading to a decrease in the initial and peak temperatures of the exothermic reactions. The activation energies calculated with the Kissinger method, indicated that the precipitation activation energy decreased with increasing cold deformation. The findings of this study provide worthy implications to further optimize the processing of Cu-Sc alloys with improved mechanical properties.
¿A quiénes se cuenta? Narrativas sobre las métricas en salud de la población migrante venezolana en una zona de frontera en Colombia
Authors: Galvis-Malagón María , Martínez-Cabezas Sandra Patricia , Niño Machado Natalia , González-Uribe Catalina 
Published: April 2023

Colombia ha sido un país receptor de la migración venezolana originada por la situación sociopolítica del país vecino. Una de las necesidades para dar respuesta a esta crisis es la recolección de datos que permitan visibilizar y monitorear las condiciones de salud de esta población. A partir de un estudio cualitativo centrado en entrevistas y observación etnográfica, el artículo se orienta a caracterizar las variadas dinámicas de inclusión y de exclusión que forman parte de la producción de datos en salud de la población migrante en Cúcuta, un territorio de la frontera colombo-venezolana. A partir de las narrativas de diversos actores que, en el territorio, trabajan directamente en la recolección, el análisis y el uso de datos de salud de la población migrante, el articulo problematiza la construcción de la categoría migrante dentro de las métricas, develando aquello que se visibiliza y aquello que se ignora en el proceso sociotécnico que está detrás de la construcción de estos datos.
The Miocene World: A Brief Summary
Authors: Waite Lowell E. , Koepnick Richard B. , Markello James R. 
Published: April 2023

This paper presents a brief synopsis of the Miocene Epoch, an important transitory chapter in the history of the Earth. It was during the Miocene that the major continents and oceans attained a “modern” configuration in terms of paleogeography and tectonics, oceanic ventilation and circulation, ocean chemistry, and faunal and floral assemblages. It also was during the Miocene that global climate fully transitioned into its current icehouse state, including marked growth of the Antarctic ice sheet and initiation of the Arctic ice cap. Long-term global cooling was controlled by a number of factors including tectonics, the large-scale changes in the distribution of flora, particularly the expansion of grasslands, and by fluctuating orbital parameters of the Earth. This global cooling trend was briefly interrupted by a short period of warming in the middle Miocene.
Miocene sea-level changes consisted of a number of glacio-eustatic third-order (1–5 million year [m.y.] duration) cycles superposed upon three longer-term, second-order (5–20 m.y. duration) supercycles. Development of large-scale tropical carbonate systems in the Miocene was relegated to three main geographic regions: the circum-Caribbean, Mediterranean, and Indo-Pacific. In addition, a pronounced cool-water platform system developed along the southern margin of Australia. Miocene reefal buildups were dominated by tropical to subtropical framework assemblages consisting primarily of large scleractinian corals, encrusting red algae, and rhodoliths (free-living coralline red algae) that grew on platform margins and interiors or on isolated atolls. Miocene carbonates were deposited in a variety of oceanic and structural settings and constitute important petroleum reservoirs, particularly in Southeast Asia. Deep-water terrigenous clastic sediments of Miocene age are also important petroleum reservoirs in some regions. In addition, the Miocene interval contains numerous prolific petroleum source rocks, most composed of Type III (gas-prone) kerogen.
Exploration History of the Central Luconia Carbonate Gas Play
Authors: Van Vliet Arthur , Wannier Mario 
Published: April 2023

Central Luconia is a geological province on the Sarawak Shelf characterized by a widespread occurrence of carbonates of (largely) middle to late Miocene age. These carbonates have been a target of petroleum exploration since the late 1960s, leading to the discovery and development of a world-class gas resource mainly supplying the global liquefied natural gas (LNG) market.
Carbonate growth in Central Luconia was initiated during a major regional transgression related to accelerated subsidence from crustal stretching associated with the formation of the South China Sea. Similar carbonate developments are seen elsewhere along the margins of the South China Sea, but the scale of Central Luconia, in terms of the large number of carbonate edifices, is unique. After a short “learning” phase, exploration in Central Luconia readily became extremely successful in the early 1970s, although the hoped-for “big oil” did not materialize; instead, large quantities of, almost exclusively nonassociated, gas were found. Being an export gas play, exploration in Central Luconia has been dictated strongly by market demand and therefore has been discontinuous over time, with fairly long periods of only piecemeal activity or even complete inactivity. In recent years, through growing LNG demand and improved commercial incentives, the play has seen a remarkable revival in terms of both activity and success.
Despite its maturity with over 100 exploration wells drilled, the play still has important gaps in understanding, notably with respect to prospect specific charge and retention issues, and as a result, some very significant late-stage discoveries were possible. The carbonates proper have been the least of the concern in the total exploration effort to date; virtually without exception, wells drilled found carbonate reservoir rock of adequate quality for production of gas.
Karst in Miocene Carbonate Buildups of Central Luconia Province, Offshore Sarawak, Malaysia
Authors: Rahman Siti Sarah Ab , Pöppelreiter Michael C. , Jimenez Grisel , Yusliandi Ari , Rosli Redwan 
Published: April 2023

Karst is a common phenomenon in carbonate buildups worldwide. It has significant economic effects on exploration, drilling, field development, and secondary recovery mechanisms. In Malaysia, over 250 Miocene carbonate buildups were mapped offshore in the Central Luconia province of Sarawak, and roughly 65 carbonate buildups have been drilled. Almost every field has encountered indications for high permeability zones likely associated with karst, such as mud losses and drill bit drop during drilling activities; some fields were left abandoned due to mud losses that could not be controlled. Hence, it is important to predict and avoid karst features while drilling, during field operations, and for future carbon dioxide storage, to reduce development costs.
The geometry, distribution, and dimension of karst structures in Central Luconia fields remain poorly known, as there have been very few systematic studies conducted. This paper provides a comprehensive characterization of karst features typical of Miocene carbonate buildups. The analysis was based on core and thin-section description, well-log characterization, and seismic spectral decomposition attribute interpretation. Importantly, the subsurface description is supplemented with the analysis of drilling parameters of some 68 wells from 36 carbonate buildups located across the Central Luconia province. A total of 51 wells encountered mud losses of varying intensities, which have been classified and plotted on maps. Loss circulation depths were recorded and compared to core samples that showed characteristics indicative of dissolution and exposure, such as chalkified texture, and were marked on well logs, which often showed unusually high porosity readings in the karstified intervals. All possible karst intervals were documented for further detailed seismic interpretation. Seismic spectral decomposition attributes techniques were applied to seismic data of Jintan and F6 platforms in order to map karst features, which were observed to be dendritic, round, and elongated patterns of several hundred meters in diameter and tens of meters deep. These features are particularly well-developed below backstepping external buildup geomorphology.
The analysis showed that particularly strong losses occurred in stratigraphic intervals located toward the center of buildups. These were predicted using seismic spectral decomposition attribute signatures of karst features. The most extensive buildups with the strongest karstification were observed in the central part of the Central Luconia province.
Petrophysical Rock Typing in Uinta Basin Using Models Powered by Machine Learning Algorithms
Authors: Arengas Carlos L. , Curtis Mark E. , Dang Son T. , Rai Chandra S. 
Published: April 2023

Abstract
The development of unconventional resources in the Uinta basin requires more investigation. Petrophysical characterization is the key to identifying different rock types to optimize hydrocarbon production. Rock-typing can be performed using wireline measurements, such as triple combo and special logs; however, this identification needs to be verified using laboratory characterization to enhance the accuracy of rock-typing prediction models.
In this work, we implement an integrated characterization workflow for 600 ft of the core interval, including total organic carbon, source rock analysis, elemental (X-ray Fluorescence) and mineral (Fourier- transform Infrared Spectroscopy) composition, total porosity (High-pressure pycnometer, Nuclear Magnetic Resonance), pore throat size distribution (Mercury Injection Capillary Pressure), elastic moduli (Ultrasonic velocity and nanoindentation) and microstructure (Scanning Electron Microscopy). Wireline measurements include the triple combo and the sonic logs. Principal Component Analysis and K-means (as unsupervised machine learning algorithms) were applied to both datasets to cluster and classify different rock types. In parallel, the petrophysical systematic for each rock type was evaluated.
The Uinta group is vastly diverse, having a wide range of porosity (2-18%) and TOC (0.5-10%). Three main rock types were identified type 1-siliceous rich, type 2-calcite rich, and type 3-dolomite rich. The relative contribution of types 1, 2, and 3 is 47, 31, and 22 %, respectively. The top section of the analyzed core is dominated by rock type 1, which generally has the highest porosity and relatively higher TOC. Most of the bottom section is carbonate-rich rock types, in which calcite-rich and dolomite-rich layers are interbedded; SEM analyses suggest that a fraction of the porosity is associated with organic matter. Between rock types 3 and 2, further studies indicate that the high dolomite rock type tends to have higher porosity, larger pore size, and better-sorted grains, while the high calcite rock type has lower porosity and small pore size. There is a fair agreement in rock type identification between using core-derived and log- derived models.
The Uinta basin leads the hydrocarbon production in Utah. The study provides a comprehensive core analysis dataset highlighting the vertical complexity of the Uinta group. The agreement in rock-typing using core and wireline inputs suggests that log-derived rock-typing can be utilized to identify sweet zones.
Challenges and Recent Advances in Modeling and Simulation of Geothermal Systems
Authors: Yurukcu Mesut , Saldana Jorge Leonardo , Temizel Cenk , Arbabi Sepehr 
Published: April 2023

AbstractGeothermal sites have unique features that require tailored approaches when it comes to production and recovery forecasts. This article explores the latest technologies, and the current challenges that simulation methods face for these types of systems Objectives are to establish this work as a robust literature reference for researchers searching for a guide to assist their future investigations.At the end of their cycles, low permeability hydrothermal sites, low fracture reservoirs, or over-exploited wells are ideal candidates to become enhanced geothermal systems, but to get to this point; optimization processes need to be performed on these sites. Building from earlier models that measure both wellhead temperature and pressure and considering the important challenges to current geothermal systems modeling, we advance a framework that embraces more novel computational techniques that strive towards capturing 3D fluid flow dynamics, as well as potential interactions between aqueous fluids, gases, and porosity and permeability changes brought by the dissolution and transformation of minerals inside the well.The development of more novel models has improved the capabilities for working with increasingly larger quantities of data while also delivering accurate estimations when some data is missing or incomplete. Additionally, the advent of artificial intelligence techniques has aided engineers in modeling quasi-three-dimensional mass transport and fluid flow dynamics, as well as chemical and physical interactions within low-porosity reservoirs. Our review highlights the appearance of two important mathematical models that rely on nonlinear partial differential equations that cover fluid pressure, enthalpy, and boundary conditions. With that said, capturing those interactions in 3D models that are robust and efficient remains a steep challenge for researchers. Through this work, we ultimately offer a roadmap to developing models to combat these limitations.Geothermal systems have been understudied as some consider these wells afterthoughts within oil and gas operations, but more novel methods can significantly improve reservoir simulation for these sites. This work provides a window into the newest advances and techniques while also providing a framework for their use to engineers looking to optimize them.
Guiding the design of behavioural and lifestyle modification interventions for risk reduction, prevention, and treatment of non-communicable diseases in low- and middle-income countries: An overview of relevant literature
Authors: Negussie Abel , Addissie Adamu , Worku Alemayehu , Girma Eshetu 
Published: April 2023

Abstract
Background
The increasing burden of chronic non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) calls for the development and dissemination of effective and viable interventions. In this respect, behavioural and lifestyle modification interventions (BLMIs) offer the most effective means of addressing the underlying lifestyle behaviours associated with NCDs at multiple disease prevention levels (primordial, primary, and secondary). This review aims to provide an overview of key features and components of BLMIs, as well as practical considerations when implementing in LMIC settings.
Methods
An exploratory approach was used to provide an overview of salient issues in the design of BLMIs; and the PubMed and Google Scholar databases, as well as grey literature, were searched. Based on the review’s aim, the most important issues/themes were identified using a narrative thematic synthesis and analysis approach.
Results
Thirty-three publications were included as the most relevant literature to the topic, and eight overarching themes were identified: understanding the target health behaviour; using behavioural/psychological theories; applying behaviour change techniques/strategies; providing effective support and follow-up; intervention delivery formats and providers; cultural sensitivity; feasibility consideration; and addressing multiple lifestyle behaviours.
Conclusion
Targeting lifestyle and behavioural modification interventions with a proper understanding of their essential design components and practical contextual considerations is crucial in reducing the rising burden of NCDs in LMICs. Future direction on the importance of conducting original researches and systematic reviews on the subject was also emphasized.
Topo-Iberia CGPS network: A new 3D crustal velocity field in the Iberian Peninsula and Morocco based on eleven years (2008–2019)
Authors: García-Armenteros Juan A. 
Published: April 2023

Abstract
The Topo-Iberia network covering the Spanish part of the Iberian Peninsula and Morocco was established in 2008. Following the first publication of the horizontal velocity field based on an analysis of the first four years (2008–2012) in 2015, a new 3D velocity field based on eleven years (2008–2019) is presented. The double-differencing technique is applied with GAMIT software, and the precise point positioning (PPP) technique is applied with GipsyX software for GPS processing to obtain loosely constrained solutions. Then, a Kalman filter is used to merge both solutions using GLOBK software and produce a velocity solution. The combined velocity solution is presented as a new horizontal velocity field and the first vertical velocity field of the Topo-IberiaCGPS network. A global viewof the data quality from the Topo-Iberia stations is also presented for the first time, as well as a program specifically created to convert GipsyX gdcov files to SINEX files, gdcov2sinex.sh. The results are in good agreement with previous publications, except in the Betic Cordillera, where the new velocities with respect to Eurasia are generally lower and present a higher southwestward component rather than a purely westward motion. The main discrepancy is observed at the ALJI station, where the maximum velocity is reached (3 ± 0.1 mm/yr), showing west‒northwestward motion. The smallest and highest residual displacements with respect to Eurasiaoccur in northern Iberia and Morocco, respectively. The results support the conclusions of other studies that a clockwise block rotation occurs at present in the northern branch of the Gibraltar Arc. The velocities indicate a northwest‒southeast convergence rate of 3.5 ± 0.1 mm/yr with respect to Nubia. A general low subsidence (mean value of 0.5 ± 0.1 mm/yr) is observed in the Iberian Peninsula except for some isolated stations presenting uplift.
Chromosome-level genome assembly of hadal snailfish reveals mechanisms of deep-sea adaptation in vertebrates
Authors: Xu Wen-Jie , Zhu Chenglong , Gao Xueli , Wu Baosheng , Xu Han , Hu Ming-Liang , Zeng Honghui , Gan Xiaoni , Feng Chen-Guang , Zheng Jiangmin , Bo Jing , He Lisheng , Qiu Qiang , Wang Wen , He Shunping , Wang Kun 
Published: April 2023

Abstract

As the deepest vertebrate in the ocean, the hadal snailfish (Pseudoliparis swirei), which lives at a depth of 6,000~8,000m, is a representative case for studying adaptation to extreme environments. Despite some preliminary studies on this species in recent years, including their loss of pigmentation, visual and skeletal calcification genes, and the role of TMAO in adaptation to high-hydrostatic pressure, it is still unknown how they evolved and why they are among the few vertebrate species that have successfully adapted to the deep sea environment. Using genomic data from different trenches, we found that the hadal snailfish may have entered and fully adapted to such extreme environments only in the last few million years. Meanwhile, phylogenetic relationships show that they spread into different trenches in the Pacific Ocean within a million years. Comparative genomic analysis has also revealed that the genes associated with perception, circadian rhythms, and metabolism have been extensively modified in the hadal snailfish to adapt to its unique environment. More importantly, the tandem duplication of a gene encoding ferritin significantly increased their tolerance to reactive oxygen species, which may be one of the important factors in their adaptation to high-hydrostatic pressure.
Development and validation of a predictive model for refracture among elderly patients with vertebral osteoporotic fractures
Authors: ma xinling , Lin Xiaozhen , Wang Limei , Zhou Landao , Liao Qiujiao , Tang Qianli , Luo Liangping , LU Meijiao 
Published: April 2023

Abstract
Background The increasing incidence of and adverse events related to refracture among patients with vertebral osteoporotic fractures have attracted increasing attention. In order to carry out preventive strategy effectively, it is of great significance to identify the risk of refractures. In this study, we developed a prediction model to evaluate the risk of refracture after initial fragility fracture.Methods This prospective cohort study was conducted across four tertiary hospitals in Southwest China between April 2018 and December 2021. X-rays were used to diagnose fractures. Participants from 3 of 4 centers were development set and the 4th as a validation set. The discrimination and calibration of each model was assessed using the validation set.Results A total of 1632 patients were included in this study, of which 428 patients suffered a refracture. A total of 11 factors were identified as candidates for predicting refracture were age, rehabilitate, treatment regimen, alcohol consumption, BMI, duration of medication use, history of comorbidities, fall risk, and levels of BGP, TALP, and Hcy. The average AUC of the nomogram was 0.936 (0.92–0.952) in the training set and 0.922 (0.894–0.949) in the validation set. The values for sensitivity, specificity, and accuracy were 0.825, 0.908, and 0.885, respectively.Conclusion We identified 11 independent risk factors that impact refracture risk. These factors were diagramed in a nomogram and transform into online calculator, which can be used to evaluate the risk of refracture among patients with initial vertebral osteoporotic fractures.
The Contribution of Transdiagnostic Vulnerability Factors in Patients with Chronic Insomnia
Authors: Asgarabad Mojtaba Habibi , Vand Hoda Doos Ali , Yegaei Pardis Salehi , Hooman Farzaneh , Ahmadi Reza , Baglioni Chiara , Moradi Shahram 
Published: April 2023

Abstract

Introduction: Various transdiagnostic factors have been associated with insomnia severity. The current study aimed to predict insomnia severity based on a group of transdiagnostic factors including neuroticism, emotion regulation, perfectionism, psychological inflexibility, anxiety sensitivity, and repetitive negative thinking after controlling for depression/anxiety symptoms and demographic characteristics.
Methods: Two hundred patients with chronic insomnia disorder were recruited from a sleep disorder clinic. Participants completed the Insomnia Severity Index (ISI), Clinical Perfectionism Questionnaire (CPQ), Acceptance and Action Questionnaire-II (AAQ-II), Anxiety Sensitivity Index-3 (ASI-3), Repetitive Thinking Questionnaire (RTQ-10), Big Five Inventory (BFI-10), Emotion Regulation Questionnaire (ERQ), and Depression Anxiety Stress Scale (DASS-21).
Results:After controlling for the confounding variables (depression/anxiety symptoms and demographic characteristics), hierarchical multiple linear regression suggested the significant association of neuroticism (BFI), cognitive reappraisal (ERQ), personal standards (CPQ), evaluative concerns (CPQ), physical concerns (ASI), cognitive concerns (ASI), and repetitive negative thinking (RTQ) with insomnia severity.
Discussion: The findings support the role of transdiagnostic factors, especially physical concerns, repetitive negative thinking, and neuroticism in chronic insomnia. Future research using longitudinal designs is required to verify the causal status of transdiagnostic variables.