bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Approach for Stress Computation during Loading and Unloading in Modified Cam Clay Model
Authors: Mirkalaei Seyed Mousa Mousavi , Tran David , Shrivastava Vijay , Nghiem Long , Chidambaram Prasanna , Ali Siti Syareena M , Mazeli Abdul Hakim , Phuat Tan Chee 
Published: November 2022

Abstract
Modified Cam-Clay model is often used for simulation of soft geomaterials such as soil or sand. In this model, Young’s modulus continuously changes via the bulk modulus. Poisson’s ratio can change or be kept constant. If the Poisson’s ratio is kept constant, shear modulus will change with time. If the shear modulus is kept constant, Poisson’s ratio is allowed to change with time. In general, the effective stress tensor at time t+1 can be computed when all state variables at time t are known. The material can be either in elastic or plastic mode depending on the stress state. In the case of plasticity, there are many steps involved to obtain a correct stress so that the equilibrium force balance could be satisfied within a tolerance. In the case of plastic deformation when the stress is out of a yield surface at time t+1, the stress must be brought back to the yield surface. The stress computation procedure during loading and unloading has an important effect on the results of deformation and rebounding after a plastic deformation. In this study a new approach for stress computation during loading and plastic unloading path is introduced. In the new proposed method, the relationship between mean effective stress change and volumetric strain change is used as a parameter to determine the amount of plastic deformation during unloading. The new approach will be appropriate for any case with large residual strain and a proposed exponential parameter (n) will determine based on the value of residual strain. A sensitivity analysis was carried out for different values of the exponential parameter which showed the displacement to be gradually less sensitive when the value of the parameter “n” is 1.003 or higher during the unloading stage. This method was then implemented and successfully tested for a study on matured offshore Malaysian field.
Well Log Prediction Using Deep Sequence Learning
Authors: Li Weichang , Fu Lei , AlTammar Murtadha J. 
Published: November 2022

Abstract
Sonic logs including compressional and shear travel time logs (DTC and DTS, respectively) are important measurements for subsurface elastic and geomechanic property characterization. However, these log types are not always measured in practice or incomplete in many oil and gas wells for economic and other practical reasons. We propose to accurately predict these types of log data from the traditional common types of well log measurement data using deep sequence learning methods. After anomalous data removal and augmenting the ratio DTC/DTS as a new lithology differentiating feature, the preprocessed inputs were fed into a bidirectional Long Short-Term Memory (LSTM) model for training to minimizing the error in predicting the sonic logs. Once trained, the model is then applied at the target wells to predict the sonic logs. The predicted sonic logs match the actual values with good accuracy. This entirely data-driven approach significantly reduces dependency on prior domain knowledge, providing a generalization advantage that enables automated large-scale well log prediction across fields.

Introduction
Well-log data analysis and interpretation are commonly conducted and play a central role in quantitative reservoir characterization, formation and completion evaluation (Ellis 2007, Glover 2014). Various borehole measurements provide information to determine reservoir rock composition such as solid and fluid volume fractions, as well as rock types, etc. When integrated with seismic data, multiple types of well log data can help reduce geologic interpretation ambiguity and improve hydrocarbon reservoir models. Certain well logs, like GR, resistivity, density, and neutron, are considered as “easy-to-acquire” conventional well logs and are deployed in most wells. However due to cost consideration or access limitation, other types of well logs, like nuclear magnetic resonance (NMR), dielectric dispersion, elemental spectroscopy, and dipole/shear sonic, are deployed in a limited number of wells and not as commonly available, or missing at certain depth intervals in an area of interest. On the other hand, sonic or acoustic logs, which measures the travel time of an elastic wave through the formation, are important in many applications. For instance, seismic-well tie requires sonic and density logs as inputs. Geomechanical parameters, very challenging to directly measure, may be derived from sonic logs aided with additional information such as rock types (Chen and Zhang 2020). Additionally, sonic logs also provide information to derive formation porosity, for stratigraphic correlation, and identification of lithologies, facies, fractures and compaction (Glover 2014).
Definition of Mud Weight Window Using 3D Numerical Models for Drilling Through Shaley Formations in Rumaila Field – Southern Iraq
Authors: Al-Asadi Yousif M. B. , Nasreldin Gaisoni , Al-Shahwan Muwafaq F. J. 
Published: November 2022

Abstract
The giant Rumaila oilfield in south Iraq has been plagued by a number of wellbore instabilities. The shaley formations in this field pose the greatest challenges to drilling operations, accounting for approximately 90% of the problems. Stuck pipe, tight hole, and borehole collapse are examples of the incidents commonly encountered even while drilling vertical wells. The main objectives of this study were to generate a mud weight window cube for different trajectory scenarios by examining the impact of depletion on field performance and drilling integrity for making life-of-reservoir decisions. The derived mechanical properties were taken from their respective 1D mechanical earth models (MEM) by utilizing the available mechanical core test data and populating in 3D space. The final 3D MEM has been calibrated against field observations. This paper presents a well planning tool for translating the geomechanical modeling results to operational parameters, and in so doing, informing well trajectory planning and optimization.

Introduction
Reservoir geomechanics play a vitally important role in minimizing drilling activity costs and informing field development planning. Comprehensive geomechanical models (1D, 3D and 4D) have been built in the Rumaila Field based on a wide array of inputs taken from 14 wells distributed across the field. The analysis examined the stress changes in the main reservoirs—namely: Mishrif and Zubair Main Pay—and addressed the instability issues in all Rumaila formations encountered while drilling, by using the available openhole logs, core mechanical test data, production data, and pressure data. The main objectives of this study were to build a fieldscale geomechanical model with a view to assessing the impact of production-induced stress changes on field performance and generating mud weight cubes at different timesteps (Al-Asadi 2021).
Le jardin arboré : un écrin pour l’immeuble, à travers des exemples en Alsace
Authors: Modanese Cécile 
Published: November 2022

André Chastel précisait que le champ d’intervention de l’inventaire des richesses artistiques de la France s’étendait de « la cathédrale à la petite cuillère ». Aujourd’hui, la villa est associée à son parc. Son analyse inclut progressivement le relevé des essences végétales. La présence d’une des plus conséquentes pépinières européennes en Alsace, les pépinières Baumann de Bollwiller fondées vers 1735 a permis la création de nombreux parcs et jardins tout au long du XIXe siècle. Ceux-ci sont le reflet d’un art de vivre allant de pair avec l’architecture et la décoration des intérieurs. Les arbres deviennent ainsi de nouveaux matériaux décoratifs pour l’art des jardins permettant au parc arboré de sublimer l’architecture en lui offrant un écrin prestigieux. Le jardin est en outre pensé pour être vu depuis l’édifice faisant parfois preuve d’une cohérence étonnante entre la création architecturale et paysagère.
Motives for using social networks and social network addiction in a time of pandemic
Authors: Cuadrado Esther , Carmen Tabernero , Castillo-Mayén Rosario , Luque Bárbara , Moreno-Bella Eva 
Published: November 2022

The lockdown situation caused by COVID-19 has increased the use of social networks, which could, in turn, increase social networks addiction. This research consists of two integrated studies aimed at (1) developing and validating the Social Networks Motives Scale (SN-MotiveS) and (2) examining the relationships between the frequency of use of social networks and the motives for why individuals use social networks with social networks addiction, as well as the evolution of these variables over time before (through a retrospective assessment), during, and after lockdown. During lockdown, an online questionnaire was distributed to a sample of 482 participants (Study 1). After lockdown, 114 participants from Study 1 completed a second online questionnaire, forming a longitudinal study (Study 2). Study 1 showed a robust fit for the multifactorial structure of the SN-MotiveS with four factors (socialization, escapism, prosocial behavior, and self-presentation), supporting the external validity of the scale, and the expected correlation patterns were found with social networks frequency of use, abuse, and addiction. Study 2 showed that all the motives increased during lockdown except for self-presentation, whereas after lockdown only prosocial behavior and employment (added in Study 2) decreased significantly. Moreover, the self-presentation and escapism motives acted as mediators in the relationship between social networks frequency of use and social networks addiction. This research provides a reliable instrument to measure the motives for using social networks both during a pandemic and in normal times. In addition, it highlights the importance of paying special attention to escapism motives for predicting social networks addiction in periods of lockdown.
The temporality and accessibility of message types (TAMT) model: Examining social media message types and the associations between exposure to alcohol and binge drinking
Authors: Vranken Sofie , Kurten Sebastian , Beullens Kathleen 
Published: November 2022

Scholars have indicated that social media contribute to various health-related behaviors (e.g., substance use, body dissatisfaction) among adolescents. This study adds to the literature on health-related social media effects through theoretical advances supported by empirical evidence. First, we introduce the TAMT model, in which we assess the media environment along a continuum of two dimensions: the temporality (from ephemeral to persistent) and accessibility (from private to public) of message types. By combining these dimensions, we argue that there are four message types: ephemeral private, persistent private, ephemeral public, and persistent public. Second, we draw on the TAMT model to advance our knowledge of the role of social media in alcohol-related behaviors. We expected that, due to the distinctive characteristics of the four message types, they would be differently related to alcohol references and binge drinking. Based on cross-sectional data (N = 1,636, Mage = 15, SD = 1.17), we found that moderate alcohol references are encountered across all message types, while more extreme references are more likely to be prevalent in ephemeral public and ephemeral private messages. We show that exposure to moderate and extreme alcohol use references in ephemeral private and persistent private messages was associated with a higher probability of engaging in binge drinking, whereas exposure to ephemeral public and persistent public messages was not. Ephemeral private messages played the most crucial role in the association with binge drinking. These findings illustrate the importance of broadening the scope of research to ephemeral private environments when studying health-related behaviors. While we have illustrated the usefulness of the TAMT model against the background of two specific types of alcohol references, this new model can be extended to other behaviors (e.g., sexual risk-taking behaviors, cyberbullying).
An exploratory study of selfie motivations and their relation to sociability and shyness among youth
Authors: Morciano Daniele , Musso Pasquale , Cassibba Rosalinda , Devlin Maurice 
Published: November 2022

The study explored how motivations for taking and sharing selfies vary among youth, with reference to the personality traits based on the combination of shyness and sociability. In contrast with a predominantly pathological vision of the selfie, this study considered a wider range of motivations reported by young people when asked why they click and share selfies. Further to motivations that may be symptomatic of problems (e.g., exhibitionism, attention seeking), the study considered the selfie also as a possible positive experience (e.g., identity development, biographical memory-preserving). Based on a survey administered to a sample of 2,323 undergraduate students, the study evidenced that selfies tend to be a self-referential experience for shy and unsociable individuals (the Solitary Shy profile), as they showed a higher incidence of exhibitionism, attention-seeking and low self-esteem. A multifaceted selfie practice prevails among Shy-Sociable participants (the Uncomfortably Sociable profile), as they seem to exploit different functions of a selfie to cope with their own shyness and, at the same time, to follow their inclination towards face-to-face interactions. Unshy-Sociable participants (the Comfortably Sociable profile) stand out for a tendency to share selfies to nurture social relationships. The need to keep in touch with a limited social circle prevails among Unshy-Unsociable individuals (the Socially Selective profile).
The morphology of the pulp chamber floor of permanent mandibular first and second molars in an Indian subpopulation—a descriptive cross-sectional study employing Pawar and Singh classification
Authors: Pawar Ajinkya M. , Singh Shishir 
Published: November 2022

BackgroundMandibular molars are multi-rooted teeth with a complex and strenuous root canal anatomy. Because there is relatively negligible literature describing the pulp chamber floor anatomy, predicting the exact anatomical layout and its variations is daunting. A thorough comprehension and knowledge of the same is required for efficacious endodontic treatment consequence. The purpose of this study was to characterise and ascertain the pulp chamber floor anatomy of permanent mandibular first (ManFMs) and second (ManSMs) molars in an Indian population.MethodsOn 2,134 extracted human mandibular first (ManFMs = 1,067) and second molars (ManSMs = 1,067), a descriptive cross-sectional investigation was executed. Cleaning and removal of hard and soft tissue debris were performed, followed by flattening the anatomical crown until the pupal architecture was uncovered. A stereomicroscope with a magnification of 4.5 magnification was used to investigate the pulpal anatomy. Statistical analysis was carried out using chi square test, with 95% confidence intervals and apvalue of 0.05 considered statistically significant.ResultsThe majority of the ManFMs showed presence of three canal orifices in 57.73%, followed by four orifices 31.31%, five orifices 8.81%, and six orifices 2.15%. For ManSMs, majorly three orifices were found in 39.83% specimens, followed by two orifices in 37.39%, four orifices in 16.31%, and single root canal orifice was observed in 6.47%. The mesio-buccal, mesio-lingual, disto-buccal, disto-lingual canal orifices exhibited round and oval shapes in both ManFMs and ManSMs. The shape was predominantly oval with a single distal canal orifice (84.25% ManFMs and 74.16% ManSMs). In ManSMs, among the single root canal orifice, 66.66% were round in shape and 33.34% were C-shaped. In ManSMs with two root canal orifices, mesially 79.44% exhibited oval and 20.56% round shape. Distally, 74.16% were oval and 25.84% were round. The shapes of the access cavities for ManFMs were rectangular in 46.67% and triangular in 53.33%. For the ManSMs, the access cavities were triangular in 39.83%, rectangular in 16.31% and non-classified (others) in 43.86% of specimen. In both ManFMs and ManSMs, the pulp chamber floor morphology was predominately Y shaped (57.73% and 39.83%) according to the Pawar and Singh classification© of pulp chamber floor anatomy.ConclusionOur study indicated that the orifices on the pulp chamber floor are arranged in a typical manner, supporting the proposed categorization. Furthermore, description of the anatomical patterns of the pulp chamber guides the clinicians in chair-side treatment decisions.
The evolution of unique cranial traits in leporid lagomorphs
Authors: Wood-Bailey Amber P. , Cox Philip G. , Sharp Alana C. 
Published: November 2022

Background
The leporid lagomorphs (rabbits and hares) are adapted to running and leaping (some more than others) and consequently have unique anatomical features that distinguish them from ochotonid lagomorphs (pikas) and from their rodent relatives. Two traits that have received some attention are fenestration of the lateral wall of the maxilla and facial tilting. These features are known to correlate with specialised locomotory form in that the faster running species will generally have fenestration that occupies the dorsal and the anteroventral surface of the maxillary corpus and a more acute facial tilt angle. Another feature is an intracranial joint that circumscribes the back of the skull, thought to facilitate skull mobility. This joint separates the anterior portion of the cranium (including the dentition, rostrum and orbit) from the posterior portion of the cranium (which encompasses the occipital and the auditory complex). Aside from the observation that the intracranial joint is absent in pikas (generalist locomotors) and appears more elaborate in genera with cursorial and saltatorial locomotory habits, the evolutionary history, biomechanical function and comparative anatomy of this feature in leporids lacks a comprehensive evaluation.

Methodology
The present work analysed the intracranial joint, facial tilting and lateral fenestration of the wall of the maxilla in the context of leporid evolutionary history using a Bayesian inference of phylogeny (18 genera, 23 species) and ancestral state reconstruction. These methods were used to gather information about the likelihood of the presence of these three traits in ancestral groups.

Results
Our phylogenetic analyses found it likely that the last common ancestor of living leporids had some facial tilting, but that the last common ancestor of all lagomorphs included in the dataset did not. We found that it was likely that the last common ancestor of living leporids had fenestration that occupies the dorsal, but not the anteroventral, surface of the maxillary corpus. We also found it likely that the last common ancestor of living leporids had an intracranial joint, but that the last common ancestor of all living lagomorphs did not. These findings provide a broader context to further studies of evolutionary history and will help inform the formulation and testing of functional hypotheses.
On the Independent Roles of Cognitive & Political Sophistication: Variation Across Attitudinal Objects
Authors: Vitriol Joseph A. , Sandor Joseph , Vidigal Robert , Farhart Christina 
Published: November 2022

AbstractPeople are motivated to maintain consistency between importantly held identities, preferences, and judgments. In political contexts, motivated reasoning can help explain a wide range of political phenomena, including extremism, polarization, and misperceptions. However, recent findings in psychology have challenged this account. These perspectives emphasize the role of cognitive sophistication (e.g., analytical reasoning, numerical literacy) in political attitudes, but differ in terms of whether it is expected to attenuate or exacerbate politically motivated reasoning and belief in conspiracy theories. Yet prior investigations have not examined the relative and independent effects of both political and cognitive sophistication. Using data from two samples, including one sampled to approximate representativeness in the U.S., we demonstrate that both types of sophistication have independent and (at times) countervailing effects on belief in COVID‐19 conspiracy theories and other political attitudes. Our results are critical for theories of cognitive sophistication, political cognition, and attitudes, and the psychology of conspiracy theories.
Recursive identification of a nonlinear state space model
Authors: Wigren Torbjörn 
Published: November 2022

SummaryThe convergence of a recursive prediction error method is analyzed. The algorithm identifies a nonlinear continuous time state space model, parameterized by one right‐hand side component of the differential equation and an output equation with a fixed differential gain, to avoid over‐parametrization. The method minimizes the criterion by simulation using an Euler discretization. A stability analysis of the associated differential equations results in conditions for (local) convergence to a minimum of the criterion function. Simulations verify the theoretical analysis and illustrate the performance in the presence of unmodeled dynamics, by identification of the nonlinear drum boiler dynamics of a power plant model.
Model‐free hierarchical control with fractional‐order sliding surface for multisection web machines
Authors: Dang Van Trong , Nguyen Dinh Bao Hung , Tran Thi Dieu Trinh , Le Duc Thinh , Nguyen Tung Lam 
Published: November 2022

AbstractDue to the nonlinearities and dynamical properties of multisection web machines, it is essential to accomplish an appropriate mathematical model as well as design a compatible control scheme. A generalized fully driven web winding model is constructed taking unpredictable changes of moment of inertia and radius of rolls into consideration. In this article, a fractional‐order sliding surface algorithm‐based hierarchical control frame is applied to multisection web machines to deal with matched and mismatched uncertainties and disturbances. In addition, the Radius Basis Function neural network is deployed to estimate necessary system dynamics and the proposed control scheme taking advantage of first‐order low‐pass filters to produce virtual control signals without complicated calculation and attenuate the explosion of terms phenomenon. Finally, the semi‐global stability of the entire system is determined using Lyapunov's stability theory. The simulation results are presented to clarify the superior performance of robust control algorithm and approximation law in the presence of nonideal elements.