bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Produk, Harga Dan Iklan Terhadap Keputusan Pembelian Pada Pasta Gigi Pbpsodent Di Surabaya Timur
Authors: Indrawati Lilik 
Published: April 2022

Nowadays, people are getting aware of the importance of keeping mouth and teeth healthy. One of the products which offer dental care is toothpaste which comes in many different brands. To understand better what their consumer want, therefore the producers of toothpaste make use the consumer behavior study so that their product is acceptable by their consumers. Toothpaste was first produced by Dresden Chemical Laboratory Lingner, which is now known as Lingner Werke AG in Germany in 1892. Back then toothpaste came in the form of mouthwash liquid. The most famous toothpaste in 1900 is "Odol" Mouthwash. It was largely used in Europe. (source: http://www.forum.otomotifnet.com/forum/showthread.php) It is the reason why in Indonesia, people knew toothpaste as "odol". It is the generic name used by the consumer to refer to any toothpaste. There are so many brands of toothpaste in market. That is a reason why PT Unilever Indonesia Tbk. wants to know what variables can influence the consumers' decision in buying toothpaste, and therefore increasing the demand of Pepsodent. The objective of the study is to find out whether variables such as price, product and commercial can partially and simultaneously influence the consumers' decision to buy Pepsodent in East Surabaya. The hypothesis of the study is the variables of price, product and commercial would partially, simultaneously and significantly influence the decision of the consumers in buying Pepsodent in East Surabaya. The result of the study is obtained using Slovin formula with Random Sampling. The data analysis technique used in this study is a double linier regression analysis. It is concluded that variable product (X1), variable price (X2) and variable commercial (X3) partially and simultaneously give a significant influence towards the consumers' decision in buying Pepsodent in East Surabaya. This result is acceptable because the first hypothesis F count (60,280) > F table (2. 70) and the second hypothesis thot is variable of product, price and commercial partially will give significant influence towards the consumers' decision in buying Pepsodent in East Surabaya. The result of partial test variable of product (X1) t count (4,416) > t table ( 1,985) so HO is rejected and H1 is accepted, that means product (X1) gives significant influence towards the decision in buying. The result of partial test variable of price (X2) t count (4,727) > t table (1,985), so HO is rejected and H1 is accepted, that means price (X2) gives significant influence towards the decision in buying. The result of partial test variable of commercial (X3) t count (7,877) > t table ( 1,985), so HO is rejected and H1 is accepted that means commercial (X3) gives significant influence towards decision in buying. The most dominant influence towards the decision in buying is commercial. It is showed by the result of partial determination coefficient (0,393 or 39,3%); which is the higher compared to other free variables.
Determining the value of preferred goods based on consumer demand in a home-cage based test for mice
Authors: Kahnau Pia , Jaap Anne , Diederich Kai , Gygax Lorenz , Rudeck Juliane , Lewejohann Lars 
Published: April 2022

AbstractFrom the preference of one good over another, the strength of the preference cannot automatically be inferred. While money is the common denominator to assess the value of goods in humans, it appears difficult at first glance to put a price tag on the decisions of laboratory animals. Here we used consumer demand tests to measure how much work female mice expend to obtain access to different liquids. The mice could each choose between two liquids, one of which was free. The amount of work required to access the other liquid, by contrast, increased daily. In this way, the value of the liquid can be determined from a mouse's microeconomic perspective. The unique feature is that our test was carried out in a home-cage based setup. The mice lived in a group but could individually access the test-cage, which was connected to the home-cage via a gate. Thereby the mice were able to perform their task undisturbed by group members and on a self-chosen schedule with minimal influence by the experimenter. Our results show that the maximum number of nosepokes depends on the liquids presented. Mice worked incredibly hard for access to water while a bitter-tasting solution was offered for free whereas they made less nosepokes for sweetened liquids while water was offered for free. The results demonstrate that it is possible to perform automated and home-cage based consumer demand tests in order to ask the mice not only what they like best but also how strong their preference is.
Waiting for baseline stability in single-case designs: Is it worth the time and effort?
Authors: Lanovaz Marc J. , Primiani Rachel 
Published: April 2022

AbstractResearchers and practitioners often use single-case designs (SCDs), or n-of-1 trials, to develop and validate novel treatments. Standards and guidelines have been published to provide guidance as to how to implement SCDs, but many of their recommendations are not derived from the research literature. For example, one of these recommendations suggests that researchers and practitioners should wait for baseline stability prior to introducing an independent variable. However, this recommendation is not strongly supported by empirical evidence. To address this issue, we used Monte Carlo simulations to generate graphs with fixed, response-guided, and random baseline lengths while manipulating trend and variability. Then, our analyses compared the type I error rate and power produced by two methods of analysis: the conservative dual-criteria method (a structured visual aid) and a support vector classifier (a model derived from machine learning). The conservative dual-criteria method produced fewer errors when using response-guided decision-making (i.e., waiting for stability) and random baseline lengths. In contrast, waiting for stability did not reduce decision-making errors with the support vector classifier. Our findings question the necessity of waiting for baseline stability when using SCDs with machine learning, but the study must be replicated with other designs and graph parameters that change over time to support our results.
Testing the Linearity of Vector Fields in Cold and Dense Space Plasmas
Authors: Liu Y. Y. , Wang Z. , Chen G. , Yu Y. , Guo Z. Z. , Xiong X. 
Published: April 2022

Abstract
Linearization of the vector field, as a common multispacecraft data analysis technique, has been widely used in (1) reconstruction of three-dimensional magnetic and velocity fields, (2) predictions of the possible topologies of linear fields, especially for the magnetic null-point classification, and (3) other data analysis techniques, such as the curlometer technique. However, the length scale of validity of the linear approximation in space plasmas is still an open question. In this study, we utilize the frozen-in condition as the criterion to estimate the accuracy of the linear method. We derive the linearization error theoretically, and find that the frozen-in condition cannot be satisfied everywhere in the linearly reconstructed fields as long as the fields have nonzero spatial gradients. This indicates that the use of the linear method must be treated with caution. We further investigate the length scale of validity of the linear method in space plasmas by utilizing the Magnetospheric Multiscale Mission data. Through two case studies and statistical analysis, we demonstrate that the linear approximation is acceptable at a length scale of, on average, 1.1 ion inertial lengths in the solar wind/magnetosheath, while in the magnetosphere the linear method exhibits great uncertainties. This study provides the theoretical basis for the application of the linear method in space plasmas.
Evaluation of the Use of a Stabilization Device to Improve the Quality of Care in Patients With Peripherally Inserted Central Catheters
Authors: Waterhouse Jennifer , Bandisode Varsha , Brandon Debra , Olson Meredith , Docherty Sharron L. 
Published: April 2022

Objectives
This project evaluated the implementation of use of the StatLock stabilization device (Bard Access Systems, Inc, Salt Lake City, Utah) for peripherally inserted central catheters (PICCs) in pediatric cardiology patients. The aim was to implement the use of the Stat- Lock device and evaluate its effects on the following 4 outcomes: incidence of dislodgement, infection, catheter dwell time, and the number of catheter replacements. The primary goal was to determine whether the StatLock device offered advantages over tape and sutures.

Methods
A quality improvement design was used to evaluate whether the use of the StatLock stabilization device for PICC securement on 30 pediatric cardiology patients decreased the number of PICC complications compared with 30 historical comparison patients.

Results
The comparison group had a significantly higher number of catheter dislodgements (n = 16; 59.3%) than the StatLock group (n = 8; 30.8%; P =.035). The comparison group did not have a significantly higher number of catheter replacements (n = 16; 59.3%) than the StatLock group (n = 10; 34.5%; P =.10). No significant differences were found in the rate of infection or in the catheter dwell time between the 2 groups (StatLock group, mean ± SD = 33.13 ± 22.71 days; comparison group, mean ± SD = 28.10 ± 24.83 days; P &gt;.20).

Conclusions
Use of the StatLock device resulted in better outcomes when compared with the use of sutures, and it provided a more effective way to stabilize and secure PICCs.
Design and Deployment of the Latest Generation of High-Performance Invert Emulsion Fluids for a Deepwater Production Project Offshore Guyana
Authors: Jaimes Juan Pablo , Smith Graham Edward , Nguyen Chau Minh , Bouguetta Mario , Gamargo Mauro Elias 
Published: April 2022

Abstract
Depletion of developed fields and increased deepwater drilling activity are becoming more common, resulting in the narrowing of the hydraulic window. When we include the commencement of production in these deepwater fields while drilling operations continue, such as in offshore Guyana, not only do we have the challenges inherent to the deepwater environment, we also face the narrowing of the window due to production startup and continuance while drilling operations are ongoing in the same field.
The challenges faced in offshore Guyana operations during drilling the reservoir section were two-fold. The initial fluid requirement was for a sag-free nonaqueous fluid (NAF) to withstand well conditions with static periods ranging from 4 to 7 days while running completion screens with zero pipe rotation, slow pump rates, and minimal volume buffer to aid mud weight homogenization, due to circulation paths through the annulus and choke line only. With the reservoir fluid re-engineering ongoing to meet zero weight fluctuations, the production of completed wells came online. Because of this, a second fluid requirement was to provide a fluid with zero sag that could reduce the equivalent circulating densities (ECD) as much as possible.
The successful batch drilling of 17 intermediate sections was achieved with a traditional NAF system designed to have low break circulation pressures and excellentholecleaning characteristics. However, this resulted in a drilling fluid that did not suit the conditions in this very challenging reservoir section.
With the focus on sag mitigation, the internal solids structure was redeveloped to provide a sag-free and low-ECD fluid. This was done by re-engineering the fluid's solids structure and changing the emulsion package before completing the conversion to the latest NAF generation. The result of this conversion decreased ECDs by up to 32%. There were no technical issues and use of this novel fluid continued until the successful completion of thedrilling campaign.
Laboratory processes developed to meet the required fluid characteristics allowed a more thorough understanding of the internal solids interaction and their ability to develop fluid structure. Insights were gained into interpreting rheological profiles in relation to better sag mitigation practices.
From the laboratory to the field, this work included the development of a low-ECD fluid and techniques to identify sag-risk fluids while providing the improvements required to deliver and maintain a fluid able to withstand the challenges of deepwater openhole gravel pack in NAF. The greater understanding of a fluid's internal solids structure under ultralow shear-rate viscosities (uLSRV) has led to a change in treatment regimens in all NAF applications, resulting in fewer technical issues, less time circulating, and lower costs during these challenging operations.
Adapting the Technology for the Construction of Taml-1 Level Multilateral Wells at the Novoportovskoye Field for Separate Production Accounting for Each Reservoir
Authors: Alekseev Alexander , Samigullin Linar , Zimoglyad Mikhail , Nagovitsyn Vladimir , Katashov Alexander , Husein Nadir , Bolshakov Viacheslav , Bydzan Andrei , Vasechkin Dmitriy 
Published: April 2022

Abstract

Summary
The Novoportovskoye field is characterised by a mainly complex geological structure and the presence of remaining reserves. The situation is further aggravated by significant oil reserves occurring right under massive gas caps. To make HC recovery profitable in such geological settings, new technologies are required.
This paper provides an insight into the case of creating a multilateral well based on a new TAML-1 level completion solution utilising the properties of the impermeable top of one bed and the dynamic quantum PLT to measure production from each formation separately in accordance with existing regulations.
The Interception of a Lost Leg in Brazilian Deep Waters
Authors: Buzza Joseph Eduardo Harbi , França Rafael Lopez , de Macedo Rodrigo Rohlfs 
Published: April 2022

Abstract
Drilling from a tension leg wellhead platform (TLWP) to targets away from the slot creates several challenges and brings many operational risks that are not always easy to predict. The decision to reduce costs with dry completions, wellheads, and deep-water rig day-rates considerably increases drilling complexity. In this scenario, an involuntary sidetrack incident happened while circulating for hole cleaning below the casing shoe. This left a reservoir exposed in the mother well.
This paper shows the decision-making process, the premises, and the directional work up to the interception of the original well. The BHAs used, drilling parameters, planned and actual well path will be discussed. The rotary steerable performance and settings while drilling to intercept the original well and the survey strategy receive special attention. Discussion about the BHA selection after the identification of the incidental sidetrack is also covered.
Having an exposed reservoir made the required trajectory critical. It should be precise but also feasible, including the casing run thereafter. An additional reaming run smoothed the high local doglegs. The conclusion summarizes the complexity of this type of directional drilling operations and the estimated savings in one of the most challenging well drilled in Brazilian deep waters.
There were multiple lessons learned from the operation that can help prevent the situation in future, and sharing this knowledge provides guidelines when facing a similar challenge.
Methodology to Design and Qualify Subsea Flowline Connection Systems to Improve Reliability
Authors: Yeole Parag Suresh , Zilafro Eric , Gupta Abhineet , Cheng Chen 
Published: April 2022

Abstract
The objective of this paper is to present a design and testing methodology to improve subsea connection system reliability by correlating the analysis and experimental data per the latest industry recommended practice.
In most cases, a theoretical approach has been used to establish different load capacities; however, no good method has been established for monitoring critical components of the clamp style connection system to matchthe computer analysis. The result is a lack of confidence for scaling the connector design up or down or extrapolating the load capacity for different offshore scenarios.
To improve on the historical approach, a new method has been developed that applies ASME section VIIIDivision 2 elastic and plastic analysis method to designing the core system capacity of asubsea flowline connector. To have full confidence that the critical components is within ASME code and functional requirements, several strain gauges, and Linear Variable Differential Transformers (LVDTs) are used to monitor data under various load cases to give confidence that this critical component of the subsea connector system is within ASME code and functional requirements. A good correlation between qualification physical test data from the data acquisition system (DAQ) and analysis results illustrates the functionality of the critical component of the connection system under different extreme loading cases. This method and process were used on Horizontal, Vertical,and Remotely Operated Vehicle (ROV)stab type connectors in alignment with API 17R "Recommended Practice (RP) for Flowline Connectors and Jumpers."
The authors present the details of the design, verification, and validation process, and compare the data captured through the DAQ system with the finite element analysis (FEA) results. The satisfactory correlation between numerical methods and physical tests provides reliability in design and validation method to develop and qualify subsea flowline connection systems.
Emerging Solutions in Offshore Green Hydrogen Production and Storage
Authors: Pierozzi Natalia , De Bacco Paolo , Tascino Carmela , Arcangeletti Giorgio , Tucceri Francesco , De Simone Giuseppe , Piazzi Luca , Agogliati Piera 
Published: April 2022

Abstract
To meet the Paris Agreement targets, the world needs to transition to a deeply decarbonized energy system. In addition to energy efficiency gains, this will require greater renewable power generation and electrification, and the scaling of technologies to reduce the carbon footprint.
Hydrogen is recognized to play a key role ensuring renewable power exploitation without overloading the grid and acting as energy storage medium to harmonize continuous power requirements with the intermittency of the renewables.
From a global solutions provider perspective, there is the need to reassess the technological and intellectual portfolio to overcome the new challenges posed by these new scenarios.
In this context, Saipem spent an important effort on designing a safe and efficient offshore green hydrogen production and storage module placed onto offshore facilties.
Looking at the offshore hydrogen value chain, the focus has been dedicated to the sea water treatment, hydrogen production and hydrogen storage building blocks.
A summary of the state of art technologies for hydrogen production and storage is provided. In particular, the rationale behind the technologies choice is explained: reverse osmosis for the sea water treatment, Proton Exchange Membrane (PEM) for the water electrolysis and Liquid Organic Hydrogen Carrier (LOHC) for hydrogen storage. In addition, the design basis and main technical and economic outcomes are reported.
A very important topic addressed by the paper is safety: the offshore green hydrogen production and storage module was designed in compliance with international codes and standards, in particular the provisions and designs of safety and loss prevention systems. Some highlights from the safety regulatory framework investigation are provided.
This work adds an important brick in the picture of the new plants required by the energy transition, demonstrating the technical feasibility and constructability of an offshore hydrogen production and storage system.
Review of AI Implementations and Hybrid Data-Physics Modeling for EOR Applications
Authors: Alghamdi Muataz 
Published: April 2022

Abstract
Enhanced oil recovery (EOR) projects are generally considered to be of high cost and risk. Modeling and prediction of performance remains a challenging task. Artificial Intelligence (AI) techniques have the potential to aid in performance optimization of EOR projects that results in increase in hydrocarbon recovery.
The classical approaches to EOR optimization have either relied on the human expertise that utilizes low scale analysis, experience or physics-based reservoir simulation that requires long lead time to build. These are difficult to use to evaluate huge number of possible optimization scenarios. A combined approach of physics-based and data-driven AI models can provide a more efficient way for EOR performance optimization. This paper investigates the active research of deployment of AI in this particular application. Modeling of EOR performance optimization includes data assimilation, model fitting, validation, and testing. EOR performance optimization is investigated using a single- and multi- objective problem approach. The goal of creating the models is to provide a quantitative outcome, and for the model to be continuously updated to reflect actual field data and conditions.
A case study of a steam flooding EOR project in San Joaquin Basin is presented. The project optimization included building combined physics-based and data-driven AI models to maximize production, maximize NPV, and minimize steam injection. Enormous number of possible injection plans were generated to select the best scenario with consideration of field and operator constrains. The modeling was used as a basis in a significant change in the field development strategy. Assessment after plan implementation showed a remarkable incremental gain in production in comparison to expected decline. The research reviews challenges of this type of modelling when it comes to data quality needs, long term implementations, and potential of rapid add up of computing power needs.
Artificial intelligence offers opportunities to improve EOR performance optimization processes. It provides the capability of modeling to perform analysis and provide a fast and actionable plan as well as to predict production forecast. Also, it gives a powerful tool for day-to-day decision making, which is needed in this type of projects. The ever-evolving nature of artificial intelligence techniques hold more promise for improvement, as it can address some of the short comes experienced today.
Applied Condition Monitoring and Digitalization of Turret Mooring Systems
Authors: Minnebo Joerik , Duggal Arun , Kumar Krishna 
Published: April 2022

Abstract
Turret Mooring Systems have a long and successful track record within the floating production industry. Turrets, and other weathervaning mooring systems, provide station-keeping capabilities to a floating facility, and allow for the safe transfer of fluids, utilities, and power, all across a rotational interface. Because the core enabling equipment is unique, industry guidance towards effective Condition Monitoring and Integrity Management of these systems is still largely absent, in comparison to more common aspects of the floating facility, such as the hull, or the riser and anchor leg mooring systems.
Based on the authors’ experiences with engineering, supplying, and supporting operations of these systems, this paper aims to provide practical insight in how these systems and their unique components operate, and how their condition and performance can be assessed through inspection, instrumentation, and analysis. Digitalization of inspection methodologies, advances in instrumentation, and the development of advanced analytics is discussed as enabling technologies to provide additional insight into the condition of components which would normally be difficult to assess by traditional methods.