bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acid Stimulation
Authors: Ali Syed A. , Kalfayan Leonard , Montgomery Carl T. 
Published: July 2022

Stimulation of oil, gas, and injection wells with acid is almost as old as the petroleum engineering industry itself. Acid Stimulation, ensures a comprehensive and up-to-the-minute presentation by 19 subject matter experts, all at the forefront of the development of acidizing technology. Each chapter delivers an authoritative presentation of the key areas of Acid Stimulation, providing an important resource for anyone who designs, analyzes, and/or improves acidizing treatments.
Acid Stimulation includesA concise review of the tremendous amount of information that has been gathered on the subject since the introduction of the first patents 100 years ago.A summary of the mechanisms that cause formation damage and how to quantify that damage.A summary of the chemistry, reaction kinetics, and methods of measurement of reactive fluids.The latest design information and philosophies for both carbonate and sandstone acidizing.Coverage of diversion, acid additives, and acid corrosion control included.Includes guidelines for treatment evaluation and real-time diagnostics.The latest models and measurement techniques for the prediction of acid fracture conductivity, rock dissolution, worm-holing fluid loss, and acid transport.Current practices in acid treatment safety, quality control, and protection of the environment.Many of the sections are supplemented with problem sets to reinforce concepts.
Enhanced Oil Recovery
Authors: Green Don W. , Willhite G. Paul 
Published: July 2022

Building on the comprehensive, fundamental mechanisms and mathematical computations detailed in the First Edition, the new Second Edition of Enhanced Oil Recovery presents the latest insights into the applications of EOR processes, including-Field-scale thermal-recovery such as steam-assisted gravity drainage and cyclic steam stimulation-Field-scale polymer flooding including horizontal wells-Field-scale miscible-displacement processes such as CO2 miscible flooding-Laboratory-scale chemical flooding in the development and testing of surfactant formulations
An invaluable tool for petroleum engineering students, Enhanced Oil Recovery also serves as an important resource for those practicing oil recovery in the field or engaged in the design and operation of commercial projects involving enhanced-or improved-oil-recovery processes. A prior understanding of basic petrophysics, fluid properties, and material balance is recommended.
A model fusion method based on multi-source heterogeneous data for stock trading signal prediction
Authors: Chen Xi , Hirota Kaoru , Dai Yaping , Jia Zhiyang 
Published: July 2022

Abstract
In the prediction of turning points (TPs) of time series, the improved model of integrating piecewise linear representation and weighted support vector machine (IPLR-WSVM) has achieved good performance. However, due to the single data source and the limitation of algorithm, IPLR-WSVM has encountered challenges in profitability. In this paper, a model fusion method based on multi-source heterogeneous data and different learning algorithms is proposed for the prediction of TPs (MF-MSHD). Multi-source heterogeneous data include weighted unstructured and structured information with different granularities. RF, WSVM, BPNN, GBDT, and LSTM are selected to be the learning algorithms. The differences among meta-models are constructed by different inputs and algorithms as much as possible, and a model fusion rule is designed to determine the final TPs. Moreover, the TPs are generated based on the characteristics of individual stock. For sentiment analysis, a more accurate sentiment dictionary of stock market comments is established. Specifically, the fine-grained data is introduced to jointly determine the accurate trading moment. The prediction level of the proposal improves the accuracy and profitability, and also outperforms the composite indexes. Experimental results show that the profit rate of randomly selected stocks in MF-MSHD reaches 0.5172, while the highest value is 0.2841 in single meta-model and 0.0992 in buy and hold strategy, respectively. The other indicators including the accuracy are also modified. Compared with the increases of 0.1648, 0.4051, and 0.3397 in Shanghai Composite Index, Shenzhen Composite Index, and CSI 300 Index, MF-MSHD shows higher profitability in stock trading signal prediction.
Engagement of Community Health Workers to Improve Immunization Coverage Through Addressing Inequities and Enhancing Data Quality and Use is a Feasible and Effective Approach: A Case of Uganda
Authors: Bakkabulindi Pamela , Ampeire Immaculate , Ayebale Lillian , Feletto Marta , Muhumuza Simon 
Published: July 2022

Abstract
Background: The availability, reliability and quality of immunization data is critical to the success of any immunization program. Poor quality data result into unreliable projections, planning, and programmatic implementation, which ultimately undermine immunization investments. Uganda, like many other developing countries, faces challenges of unreliable estimates for her immunization target population. Strengthening immunization data quality and use for improving immunization program performance are critical steps towards improving coverage and equity of immunization programs.The goal of this study was to determine the effectiveness of using community health workers (CHWs) to obtain quality and reliable data that can be used for planning and evidence-based response actions. Methods: A three phased cluster randomized trial in which 5 health facilities were randomized in two groups to (i) receive a package of interventions including monthly health unit immunization data audit meetings, and defaulter tracking and linkage through home visits; and (ii) to serve as a control group between July and September 2020 was conducted. Immunization coverage in both arms was determined before and after the interventions. In addition, key informant and in-depth interviews were conducted to explore the feasibility of the interventions. Results: Overall, a total of 2,048 eligible children were registered by CHWs which compares to the district estimated population of 1,889. The study further showed that it is feasible to use CHWs to track and link defaulters to points of services: More than two thirds (68%) of the defaulters were tracked and linked to immunization services. Immunization coverage for specific antigens was significantly higher in the intervention health facilities as compared to that in the control health facilities: DPT3 95.6% vs 88.4% (p=0.004); MR 88.9% vs 81.9% (p=0.048); BCG 81.4% vs 55.5% (p<0.001); OPV3 93.9% vs 87.1% (p=0.014); PCV3 95.0% vs 88.4% (p=0.011); and Rota2 92.8% vs 84.5% (p=0.006).Conclusion: Use of CHWs to obtain reliable population estimates is feasible and can be useful in areas with consistent poor immunization coverage to estimate target population. Facilitating monthly health unit immunization data audit meetings to identify, track and link defaulters to immunization services is effective in increasing immunization coverage and equity.
Structure of the Human Primosome Elongation Complex
Authors: Lim Ci Ji , He Qixiang , Baranovskiy Andrey , Morstadt Lucia , Lisova Alisa , Babayeva Nigar , Lusk Benjamin , Tahirov Tahir 
Published: July 2022

Abstract
The synthesis of RNA-DNA primer by primosome requires coordination between primase and DNA polymerase α subunits, which is accompanied by unknown architectural rearrangements of multiple domains. Using cryogenic-electron microscope, we solved a 3.6 Å human primosome structure caught at an early stage of RNA primer elongation with deoxynucleotides. The structure confirms a long-standing role of primase large subunit and reveals new insights into how primosome is limited to synthesizing short RNA-DNA primers.
Effectiveness of eHealth Weight Management Interventions in Overweight and Obese Adults from Low Socioeconomic Groups: A Systematic Review
Authors: Myers-Ingram Richard , Sampford Jade , Milton-Cole Rhian , Jones Gareth David 
Published: July 2022

Abstract
Background
Low socioeconomic status (SES) is associated with increased rates of overweight and obesity. Proponents of electronic health (eHealth) hypothesise that its inclusion in weight management interventions can improve efficacy by mitigating typical barriers associated with low SES.
Objectives
To establish the scope of eHealth weight management interventions for people with overweight and obesity from a low SES. Secondary objectives were to determine the efficacy of eHealth interventions in facilitating weight loss, physical activity, and fitness improvements.
Methods
Four databases and grey literature were systematically searched to identify eligible studies published in English from inception to May 2021. Studies examining an eHealth intervention with low SES participants were included. Outcomes included temporal change in weight and BMI, anthropometry, and physical activity levels. The number and heterogeneity of studies precluded any meta-analyses, thus a narrative review was undertaken.
Results
Four experimental studies with low risk of bias were reviewed. There was variance in how SES was defined. Study aims and eHealth media also varied and included reducing/maintaining weight or increasing physical activity using interactive websites or voice responses, periodic communication and discourse via telephone, social media, text messaging, or eNewsletters. Irrespectively, all studies reported short-term weight loss. eHealth interventions also increased short-term physical activity levels where it was assessed, but did not change anthropometry. None reported any effect on physical fitness.
Conclusions
This review revealed short-term effects of eHealth interventions on weight loss for low SES participants. Inter-study comparison is challenging because of considerable variability. Future work should prioritise how to utilise eHealth in the longer-term either as a supportive public health measure or by determining its long-term efficacy in engendering volitional health behaviour changes.
Trial Registration
PROSPERO International Prospective Register of Systematic Reviews CRD42021243973 (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021243973)
Adaptive Dynamic Surface Control for a Class of Time Delay Nonlinear Systems with Extreme Learning Machine
Authors: jingyang zhu , shurong li , zhe liu 
Published: July 2022

Abstract
This paper is aimed at investigating the problem of adaptive track- ing control for a class of strict-feedback nonlinear systems with unknown ex- ternal disturbance and time delay. First of all, the original system state equa- tion is transformed into a new form of state equation by coordinate trans- formation. In the next part, extreme learning machine is applied to approx- imate the unknown functions which exist in the whole system states. Based on this, adaptive dynamic surface controller is invented to cope with the dif- ferential explosion problem. In addition, the combination of the control law and the compensation signal of the filter improves the accuracy performance. Lyapunov-Krasovskii functional is introduced to handle the influence of time delay successfully. Subsequently, all signals of the whole closed-loop system can be ultimately uniformly bounded through a series of proofs. In the end, simulation examples are presented to verify the feasibility and effectiveness of the proposed algorithm.
The prevalence of violence and its association with mental health among the Iranian population in one year after the outbreak of COVID-19 disease
Authors: Kamali Koorosh , Maleki Azam , Yazdi Seyed Abbas Bagheri , Faghihzadeh Elham , Hoseinzade Zarrintaj , Hajibabaei Marzieh , Sharafi Seyedeh Elham , Noorbala Ahmad Ali 
Published: July 2022

Abstract
Objective The current study aimed to determine the prevalence of violence and its association with mental health among Iranians older than 15 years in 2020.Methods Data was collected through National Mental Health Survey on 24,584 Iranians older than 15 years in 2020. were analyzed to determine the prevalence of violence and its association with mental health. Multi-stage sampling method was used, and data on demographic characteristics and domestic-social violence and mental health (GHQ-28) were collected. Data analysis was administered using descriptive statistics and chi-square test at 95% level.Results The mean age of participants was 44.18±16.4 years. The overall prevalence of domestic and social violence was 11.4% and 5.5%, respectively. Verbal violence was the most common type; 61.8% and 66.8% for domestic and social violence, respectively. A suspected case of mental disorder, female gender, being younger than 25 years, living apart together, unemployment, low education, and history of COVID-19 infection presented a significant association with domestic and social violence (p>0.05).Conclusion In comparison to the previous study in 2015, the prevalence of violence has increased. Therefore, domestic and social violence are the social concerns of Iranian society, indicating the necessity of appropriate interventions, particularly for those suspected of mental disorders and young women with low education levels.
The hemisphere of the brain in which a stroke has occurred visible in the heart rate variability
Authors: Aftyka Joanna , Staszewski Jacek , Żebrowski Jan , Dębiec Aleksander , Pogoda-Wesołowska Aleksandra , Kowalska Agata , Jankowska Anna 
Published: July 2022

Abstract
Objective: Can the localization of an ischemic stroke in the hemisphere of the brain be assessed on the basis of the heart rate variability? Is there a difference in heart rate variability between people with right hemisphere stroke and people with left hemisphere stroke? Methods: 24h analysis of RR intervals of people in the acute phase of stroke. The research group consisted of 25 people after ischemic stroke of the right hemisphere and 39 people after ischemic stroke of the left hemisphere. Standard linear methods were used to analyze heart rate variability in the time and frequency domains, as well as nonlinear methods - Sample Entropy, Detrended Fluctuation Analysis and asymmetry measures. Results: Statistically significant results between right and left hemispheric stroke subjects are shown for the pNN50(p-value=0.028) and Sample Entropy (p-value=0.010). The results for the RMSSD (0.052) are also close to statistical significance. People with a right hemisphere stroke are characterized by reduced parasympathetic activity and a lower complexity of heart rate variability compared to the group of people with left hemispheric ischemic stroke. Conclusion: Based on the heart rate variability in the acute phase of an ischemic stroke, it is possible to determine the location of the stroke in the right brain hemisphere or the left brain hemisphere.
Water Hyacinth Leaf Protein Concentrate Composites for Removal of Hexavalent Chromium
Authors: Taye Asmamaw , Yifru Alemayehu , Mehretie Solomon , Getachew Negash , Admassie Shimelis 
Published: July 2022

Abstract
Water Hyacinth Leaf Protein Concentrate/Graphene Oxide/Chitosan/polyvinyl alcohol (WHLPC/GO/CS/PVA) composite was synthesized for the removal of Cr (VI) from wastewater. About 80% of the prepared composite material constitutes WHLPC which is extracted from water hyacinth plant leaf. The prepared material was characterized by FT-IR and XRD. The process variables such as pH, contact time, dosage, initial Cr (VI) concentration, and temperature were optimized using a batch mode experiment. Kinetic studies were conducted using pseudo-first-order and pseudo-second-order models and it was observed that the chemosorptive pseudo-second-order model described the adsorption system in a better way, with a high value of R2. The highest adsorption capacity of 202.59 mg/g was achieved at pH 1.0, and equilibrium was achieved within 330 min. Langmuir and Freundlich isotherm models were analyzed using non-linear fitting. It was found that the Langmuir model gives the best fit indicating monolayer adsorption of Cr (VI) on the WHLPC/GO/CS/PVA. The reuse efficiency of the synthesized material was also found to be greater than 65% for five consecutive cycles. Thermodynamic studies were conducted and results revealed that the adsorption was natural and endothermic.
In-situ polymerization of low-dielectric fluorinated nano carbon/polyimide composites with low-temperature curable property
Authors: Zhang Jialin , Sui Yuying , Li Jinhui , Shan Liang , Niu Fangfang , Zhang Guoping , Sun Rong 
Published: July 2022

Abstract
One challenge in advanced dielectric material of polyimides (PIs) is to obtain the excellent mechanical, thermal, and dielectric properties at low imidization temperature for fan-out wafer level package in 5G high-frequency communication. In this work, 6-aminoquinoline (AQL) is introduced through covalent bonds to obtain a low-temperature curable PI at first. The results demonstrate that with few addition (2.76%) of AQL, the imidization index could reach as high as 1.01 at 200 oC. Then, fluorinated nano carbon (FC) is further introduced by in situ polymerization resulting in the fluorinated nano carbon/polyimide (FCPI) composites, which effectively reduces the dielectric constant (1wt%, 2.75 @ 1MHz). Besides, the as-prepared FCPIs also possess excellent thermal property, especially when the addition amount is 0.3wt%, the 5% weight loss temperature could be as high as 540 oC and the glass transition temperature is 385 oC. Furthermore, the tensile strength of the film is 127 MPa, the elongation at break is around 15.82%, and the Youngs’ modulus is about 3.10 GPa. So, the successful preparation of the FCPI nanocomposites not only possess low-temperature curing and low-dielectric performance but also exhibit excellent thermal and mechanical properties, which shows a wide range of application prospects in the field of microelectronics for the advanced electronic package.
Adaptive multiple estimation fault-tolerant control for teleoperation systems with deferred time-varying output constraints
Authors: Li Longnan , Liu Zhengxiong , Guo Shaofan , Ma Zhiqiang , Yu Jianhui , Huang Panfeng 
Published: July 2022

Abstract
This study investigates the synchronization tracking problem for a class of nonlinear teleoperation systems subjected to time-varying output constraints and actuator failures. The shifting function and the asymmetric barrier Lyapunov function are employed to ensure that the system's output constraints are satisfied regardless of whether the initial condition is within the constraint boundary or not. As a result, the strict assumption in most references dealing with constraint issues is effectively removed. Meanwhile, multiple estimation techniques involving neural networks and disturbance observers are utilized to approximate actuator failures and lumped uncertainty of the teleoperation system. Following this, an adaptive multiple estimation fault-tolerant control scheme is proposed to achieve synchronization tracking of teleoperation systems. Finally, simulations and experiments are implemented to verify the feasibility and availability of the proposed control scheme with the teleoperation platform composed of two Phantom Omni 3D Touch robots.
Tailoring flow behavior and heat transfer in tempering channels for high pressure die casting – Analysis of potentials of commercial static mixers and prospects of additive manufacturing
Authors: Sode Marco , Kahlert Moritz , Arold Tizian , Fros Adam Peter , Vollmer Malte , Niendorf Thomas , Fehlbier Martin 
Published: July 2022

Abstract
High Pressure Die Casting (HPDC) is an economic manufacturing processes for production of complex, multifunctional and thin-walled metal components with near-net-shape geometries. During die filling and subsequent solidification of the component in the die, efficient and robust control of temperature is of utmost importance. This is mostly achieved by fluid-based temperature control systems. Eventually, the heat transfer between the fluid and the die determines total cycle times. In present work the impact of static mixers and most relevant processing conditions is investigated experimentally as well by Computational Fluid Dynamics (CFD) simulation. Static mixer elements are integrated into straight tempering channels to stimulate turbulences of the flowing tempering medium and, eventually, increase the heat transfer coefficient α. In a second step, prospects related to additive manufacturing (AM) of moulds by means of Laser Powder Bed Fusion (PBF-LB) are detailed and discussed. The unprecedented design freedom of AM opens up numerous possibilities for positioning the static mixer elements, as highlighted for helical mixers in tempering channels of HPDC die casting moulds made of AISI H13 (X40CrMoV5-1, 1.2344). Obviously, in recent years AM already has been exploited to establish near-contour temperature control systems in industrial applications, i.e., for conformal cooling. However, the flow-influencing mixing elements investigated in the present work have not been considered so far. As will be highlighted by the results presented, a positive impact on heat transfer and, thus, further increase in terms of the economic efficiency of the HPDC process arises from the concepts introduced.
A robustness-improved image encryption scheme utilizing Life-liked cellular automaton
Authors: Lv Wenrui , Chen Junxin , Chai Xiuli , Fu Chong 
Published: July 2022

Abstract
Image encryption is considered as an effective method to protect image against revealing. As a discrete dynamic system, the Life-liked cellular automaton (CA) has good chaotic performance, and has been applied for image encryption. This paper propose a robust block encryption scheme, based on reversible Life-liked CA with balanced rule. The proposed method adopts classic confusion-diffusion structure on block level, while adopts reversible Life-liked CA on pixel level. An effect permutation method is developed to reduce the iteration rounds of whole system, while the diffusion module adopts reversible Life-liked CA with balanced rule to encrypt the blocks to noise-like signals. Performance analyses show the proposed scheme have good cryptographic features, satisfactory security for defeating common attacks, and robustness to resist data loss and random noise.
Variable selection and identification of high dimensional nonparametric nonlinear systems based on directional regression
Authors: Sun Bing , Cai Q. Y. , Peng Z. K. , Cheng Changming , Wang F. , Zhang H. Z. 
Published: July 2022

Abstract
This paper studies variable selection problems for high dimensional nonlinear nonparametric systems. Based on directional regression, one new variable selection approach is proposed, which is not affected by the curse of dimensionality that traditional variable selection approaches usually exist. In addition, since indicators for redundant variables aren’t exact zero’s, it is difficult to decide variables whether are redundant or not when the indicators are small. This is critical in the variable selection problem because the variable is either selected or unselected. To solve this problem, a penalty optimization algorithm is proposed to ensure the convergence of the set. Simulation and experimental research verify the effectiveness of the variable selection method proposed in this paper.