bluuebunny/crossref_metadata_2025_split huggingface dataset:
User Quality of Experience (QoE) Satisfaction for Video Content Selection (VCS) Framework in Smartphone Devices
Authors: Jofri Muhamad Hanif , Bahrudin Ida Aryanie , Safar Noor Zuraidin Mohd , Mohamed Juliana , Omar Abdul Halim 
Published: December 2021

Video streaming is widely available nowadays. Moreover, since the pandemic hit all across the globe, many people stayed home and used streaming services for news, education, and entertainment. However, when streaming in session, user Quality of Experience (QoE) is unsatisfied with the video content selection while streaming on smartphone devices. Users are often irritated by unpredictable video quality format displays on their smartphone devices. In this paper, we proposed a framework video selection scheme that targets to increase QoE user satisfaction. We used a video content selection algorithm to map the video selection that satisfies the user the most regarding streaming quality. Video Content Selection (VCS) are classified into video attributes groups. The level of VCS streaming will gradually decrease to consider the least video selection that users will not accept depending on video quality. To evaluate the satisfaction level, we used the Mean Opinion Score (MOS) to measure the adaptability of user acceptance towards video streaming quality. The final results show that the proposed algorithm shows that the user satisfies the video selection, by altering the video attributes.
Numerical Analysis of Least-Squares Group Finite Element Method for Coupled Burgers' Problem
Authors: Noon Najat Jalil 
Published: December 2021

In this paper, a least squares group finite element method for solving coupled Burgers' problem in 2-D is presented. A fully discrete formulation of least squares finite element method is analyzed, the backward-Euler scheme for the time variable is considered, the discretization with respect to space variable is applied as biquadratic quadrangular elements with nine nodes for each element. The continuity, ellipticity, stability condition and error estimate of least squares group finite element method are proved. The theoretical results show that the error estimate of this method is . The numerical results are compared with the exact solution and other available literature when the convection-dominated case to illustrate the efficiency of the proposed method that are solved through implementation in MATLAB R2018a.
Case Study: Single-Aqueous-Phase Retarded Acid Performance Offshore Sarawak
Authors: Wu J. , Sickorez J. , Street J. , Tonmukayakul P. , Lee J. , Craig S. , Monette M. , Nguyen Q. P. 
Published: December 2021

The purpose of acid stimulation of carbonate formations is to increase production. The essential component for these stimulation fluids is the carbonate-dissolving agent, which creates conductivity channels connecting the reservoir with the wellbore. Controlling the reactivity of hydrochloric acid (HCl), the most-used dissolving agent due to its high dissolving capacity, wide availability, and low unit cost, is the most viable approach to successfully stimulate a high-temperature carbonate reservoir.
It is essential to retard the HCl-carbonate rock reaction to achieve the optimum balance between total fluid used and enhanced well production. It is well documented that the conventional emulsified acid exhibits high friction pressure, is cumbersome to prepare, and performs with sensitivity to a multitude of parameters. These drawbacks have prevented the industrywide adoption of this method.
The recently developed single-aqueous-phase retarded acid (SAPRA) designed for primarily 15–25% HCl solutions represents a significant step forward. The first successful field implementation of SAPRA took place offshore the Malaysian state of Sarawak in early 2021.
At Sarawak, the HCl reactivity was regulated and retarded by a single potent low- dosage additive, which is compatible with selected acid corrosion inhibitors, nonemulsifiers, H2S scavengers, other commonly used additives, and if necessary, friction reducers.

Improving Acid Stimulation Efficiency
The technical approach behind SAPRA is based on chemical technology that enables the reduction of the reaction rate and allows the control of the diffusion/mass transfer mechanism. This is key in designing the acid treatment to optimize chemical program cost and well production and has been extensively studied (Al Moajil et al. 2020; Czupski et al. 2020; Daeffler et al. 2018; and Abdrazakov et al. 2018).
The technology was developed utilizing a surface barrier concept where transiently adsorbed retarder molecules adhere to a carbonate surface and thus, delay the hydrogen ion carbonate reaction over a range of acid concentrations and operating temperatures. Due to the complexity of the chemical interactions among all the additives in the acid fluid system, the selected additives must be screened to ensure mutual compatibility before conducting performance testing such as corrosion rate, calcite solubility capacity characterization, and coreflow measurements. Incompatible chemistry could lead to severe corrosion issues such as the examples shown in Table 1.
Machine-Learning Upscales Realistic Discrete Fracture Simulations
Authors: Carpenter Chris 
Published: December 2021

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 203962, “Upscaling of Realistic Discrete Fracture Simulations Using Machine Learning,” by Nikolai Andrianov, SPE, Geological Survey of Denmark and Greenland, prepared for the 2021 SPE Reservoir Simulation Conference, Galveston, Texas, 4–6 October. The paper has not been peer reviewed.
Upscaling of discrete fracture networks to continuum models such as the dual-porosity/dual-permeability (DP/DP) model is an industry-standard approach in modeling fractured reservoirs. In the complete paper, the author parametrizes the fine-scale fracture geometries and assesses the accuracy of several convolutional neural networks (CNNs) to learn the mapping between this parametrization and DP/DP model closures. The accuracy of the DP/DP results with the predicted model closures was assessed by a comparison with the corresponding fine-scale discrete fracture matrix (DFM) simulation of a two-phase flow in a realistic fracture geometry. The DP/DP results matched the DFM reference solution well. The DP/DP model also was significantly faster than DFM simulation.

Introduction
The goal of this study was to evaluate the effect of different CNN architectures on prediction accuracy for the DP/DP model closures and on the accuracy of DP/DP simulations in comparison with fine-scale DFM simulations. As a starting point, two CNN configurations were considered that have achieved breakthrough performance in image-classification tasks. The author adopted these architectures to the problem of learning the mapping between pixelated fracture geometries and the DP/DP model closures and indicated several key features in the CNN structure that are crucial for achieving high prediction accuracy.
Mapping of fracture geometries requires significant effort, which limits the possibilities for creating large training data sets with realistic fracture geometries. The author, therefore, used the synthetic random linear fractures’ data set to train the CNNs and the fracture geometry from the Lägerdorf outcrop for testing purposes. It was demonstrated that an optimal CNN configuration yielded the DP/DP model closures such that the corresponding DP/DP results matched well the two-phase DFM simulations on a subset of the Lägerdorf data. The run times for the DP/DP model were a fraction of the time needed to accomplish the DFM simulations. Problem formulation is presented in a series of equations in the complete paper.
"Why I Stay in Community Psychiatric Rehabilitation" -A Semi-Structured Survey in Schizophrenic Patients
Authors: Zheng Shan-Shan , Zhang Hui , Zhang Man-Hua , Li Xue , Chang Kuo , Yang Feng-Chi 
Published: December 2021

Abstract
Aims: Although community psychiatric rehabilitation plays an important role in returning schizophrenic patients to the society, Many patients in China stay in rehabilitation centers for longer periods of time and subsequently fail to integrate. This study aimed is to explore the underlying causes of this trend and identify possible solutions.Methods: A total of 28 schizophrenic patients were enrolled in this study. We used semi-structured telephone interviews to obtain patients’ perceptions on the effectiveness and attraction of community mental rehabilitation, as well as the difficulties of social inclusion, then applied the grounded theory to analyze the responses. Investigation of interviews include effect of community rehabilitation, attractiveness, and difficulties in social communication.Results: Most patients believe that they have gained knowledge, improved skills, friendship and social circles through community mental rehabilitation, with the sense of belonging and enriched life strongly attracting them to the rehabilitation centers. They felt that the difficulty of further integration into society is mainly because of social prejudice and rejection. In addition, the activities of community mental rehabilitation meet the needs of social communication, which also hinder patients from further entering the society.Conclusions: Schizophrenic patients with long-term stay in community mental rehabilitation centers meet their friendship, sense of belonging and social needs by participating in rehabilitation activities. Providing special social opportunity for these patients can get them out of the rehabilitation center. Overall, it is possible for patients to gradually return to society in a collective form.
Feasibility and Acceptability of a Culturally Sensitive Intervention To Promote Genetic Counseling
Authors: Henderson Vida , Madrigal Jessica , Kendall Le’Chaun , Parekh Pooja , Newsome Jennifer , Chukwudozie Ifeanyi Beverly , Comer-Hagans DeLawnia , Coffey Vickii , Grumbach Giesela , Spencer Shirley , Rodgers Carolyn , Kaur Ravneet , Balay Lara , Maga Tara , Ramamonjiarivelo Zo , Balthazar Catherine , Winn Robert , Watson Karriem , Odoms-Young Angela , Hoskins Kent F. 
Published: December 2021

Abstract
Background

Despite the benefits of genetic counseling (GC) and testing, uptake of cancer genetic services is generally low and African American (AA) women are substantially less likely to receive genetic services than non-Hispanic White women. Our team developed a culturally sensitive, narrative decision aid video to promote uptake of GC among AA women at risk for a hereditary breast cancer syndrome. We report here a pilot study to demonstrate feasibility and acceptability of incorporating this intervention in conjunction with population-based cancer risk assessment in a clinical setting with medically underserved AA women.
Methods

AA women recommended for GC based on cancer genetic risk assessment performed in a mammography center were recruited at the time of the mammogram. A prospective, pre-post survey study design, guided by theoretical constructs, was used to evaluate baseline and immediate post-intervention psychosocial factors, including intention to participate in GC and intervention satisfaction.
Results

Pilot recruitment goals were met (n=30). Pre-intervention, 50% of participants indicated that they were extremely likely to make a GC appointment, compared with 70% post-intervention (p=0.0001). After watching the intervention, 50% of participants indicated that the video changed their mind regarding GC.
Conclusions

This study demonstrated cultural acceptability of a decision aid intervention designed to motivate AA women with hereditary breast cancer risk to attend a GC appointment. Our study showed that intention may be a specific and key construct to target in interventions designed to support decision-making about genetic services. Study results informed the design of a subsequent large scale, randomized implementation study.
Neuroblast Differentiation-Associated Protein Derived Polypeptides: AHNAK(5758-5775) Induced Inflammatory Reaction in Skin By Mast Cells Activation
Authors: Che Delu , Song Xiangjin , Zhang Lei , Du Xueshan , Zheng Yi , Jia Tao , Zhou Tong , Geng Songmei 
Published: December 2021

Abstract
Psoriasis is a chronic inflammatory skin disease. Mast cells significantly increase and activate in the lesions and are involved in psoriatic inflammation. Neuroblast differentiation-associated protein (AHNAK) mainly express in skin, esophagus and kidney, which participates in the differentiation of neurons, the formation of cytoskeletal structure muscular regeneration and the calcium homeostasis process. Whether AHNAK is involved in mast cell activation is unclear, and the mechanisms of AHNAK induced skin inflammation also needs investigation. To investigate whether Neuroblast differentiation-associated protein derived polypeptides: AHNAK(5758-5775) activates mast cells and induces skin inflammation contributing to psoriasis, wild-type mice were treated with AHNAK(5758-5775) to observe inflammatory cells infiltrated in skin and cytokines release in vivo. Release of inflammatory mediators by mouse primary mast cells, LAD2 cells and human neutrophils were measured in vitro. Neutrophils and mast cells were co-cultured to verify AHNAK(5758-5775)’ role in inflammation. Molecular docking analysis, molecular dynamics simulation and siRNA transfection were used to prove the receptor of AHNAK(5758-5775). AHNAK(5758-5775) caused skin inflammation in WT mice by recruitment of neutrophils and cytokines release. Moreover, AHNAK(5758-5775) does not directly activate neutrophils PPD, while it is via mast cells. ST2 seems to be a key receptor meditating the activation effect of AHNAK(5758-5775) on mast cells and lead to cytokines release. Altogether, we proposed the novel polypeptide: AHNAK(5758-5775), which might induce inflammation and participated in the occurrence and development of psoriasis by activating mast cells.
Experimental study on flow over arced-plan porous weirs
Authors: Pirzad M. , Pourmohammadi M. H. , Ghorbanizadeh Kharazi H. , Solimani Babarsad M. , Derikvand E. 
Published: December 2021

Abstract
Unlike conventional impermeable weirs, porous weirs do not clog the flow and passage of aquatic life with increased aeration or aerobic reactions. They have minimal negative effects on the environment and are known as environmentally friendly structures. This study experimentally investigates the hydraulic performance of arced-plan porous weirs (APPWs) in different hydraulic and geometric conditions. For this purpose, four different porous and two solid weirs were examined. Experiments were conducted in a horizontal laboratory flume with length, width and height of 20, 0.6 and 0.5 m, respectively, for a wide range of flow rates, particle sizes and three arc lengths. Results showed that increasing filling material sizes increases the free discharge coefficient and reduces the submerged discharge reduction factor (DRF). It was also concluded that the weirs’ effective length significantly impacts the free discharge coefficient and has no significant effect on the threshold submergence index and submerged DRF. Unlike solid weirs, the threshold submergence of porous weirs occurs at a downstream depth lower than the weir's height. Finally, according to the dimensional analysis and gene-expression programming approach, three relations were extracted to calculate the free discharge coefficient, threshold submergence index and submerged DRF for APPWs.
Method of Calculation of Integrated Performance Indicators of Defense Industry Organizations
Authors: Eroshin S. E. 
Published: December 2021

The purpose of the study is to develop a parametric monitoring system for defense industry enterprises, optimizing on the principle of minimum sufficiency a set of key indicators of the activities of organizations and increasing the efficiency of management of research institutes, design bureaus, industrial and service enterprises of the military-industrial complex.Materials and methods. The methodological and theoretical basis of the presented scientific work is a system of mathematical methods for analyzing empirical data on the object of study, providing objective, accurate and systematic information on the researched processes. The reliability of scientific provisions, conclusions and practical recommendations is confirmed by the experience of applying the results of the study in the analysis of the activities of enterprises of Concern Almaz-Antey JSC, as well as comparing them with the results of research by domestic and foreign scientists in the field of organizing a management system for high-tech companies. Author relied on actual statistical information about the activities of organizations of the military-industrial complex, the results of research in the field of mathematical analysis, organization and planning of machine-building production, research of operations, rank statistics, probability theory, theory of adaptive management, economics and enterprise management.Results. A method has been developed for processing data on the activities of enterprises and reducing them to the optimal set of observed indicators without losing awareness of the monitoring object; possibilities of using non-parametric methods of statistics for analysis of complex systems, in particular, holdings of defense industry, have been researched.Conclusion. Each enterprise has its own specificity depending on the specifics of the production processes. There is now a significant number of different indicators that comprehensively, and often too extensively, characterize what is happening. This situation often makes it difficult to manage production facilities, since the actual picture of the state of the facilities is obscured by an excess of secondary information. In this regard, it seems reasonable to try to weed out unnecessary indicators and use only those that carry the necessary amount of information sufficient to reflect the specifics of the enterprise. The presented work theoretically and practically proved the advantages of using non-parametric statistics in enterprise monitoring, which allows reducing temporary losses in the development of management solutions and increasing their efficiency at the level of the parent companies of defense-industrial associations.
SynB3 Conjugated QBP1 Passes Blood-Brain Barrier Models and Inhibits PolyQ Protein Aggregation
Authors: Zuo Lingyan , Li Weiqian , Shi Jifang , Su Yingzhen , Shuai Hongyan , Yu Xin 
Published: December 2021

Background:
Polyglutamine diseases are degenerative diseases in the central nervous
system caused by CAG trinucleotide repeat expansion which encodes polyglutamine tracts, leading
to the misfolding of pathological proteins. Small peptides can be designed to prevent polyglutamine
diseases by inhibiting the polyglutamine protein aggregation, for example, polyglutamine
binding peptide 1(QBP1). However, the transportation capability of polyglutamine binding peptide
1 across the blood-brain barrier is less efficient. We hypothesized whether its therapeutic effect
could be improved by increasing the rate of membrane penetration.

Objectives:
The objective of the study was to explore whether polyglutamine binding peptide 1 conjugated
cell-penetrating peptides could pass through the blood-brain barrier and inhibit the aggregation
of polyglutamine proteins.

Methods:
In order to investigate the toxic effects, we constructed a novel stable inducible PC12
cells to express Huntington protein that either has 11 glutamine repeats or 63 glutamine repeats to
mimic wild type and polyglutamine expand Huntington protein, respectively. Both SynB3 and
TAT conjugated polyglutamine binding peptide 1 was synthesized, respectively. We tested their capabilities
to pass through a Trans-well system and subsequently studied the counteractive effects
on polyglutamine protein aggregation.

Results:
The conjugation of cell-penetrating peptides to SynB3 and TAT enhanced the transportation
of polyglutamine binding peptide 1 across the mono-cell layer and ameliorated polyglutamine--
expanded Huntington protein aggregation; moreover, SynB3 showed better delivery efficiency
than TAT. Interestingly, it has been observed that polyglutamine binding peptide 1 specifically inhibited
polyglutamine-expanded protein aggregation rather than affected other amyloidosis proteins,
for example, β-Amyloid.

Conclusion:
Our study indicated that SynB3 could be an effective carrier for polyglutamine binding
peptide 1 distribution through the blood-brain barrier model and ameliorate the formation of polyglutamine
inclusions; thus SynB3 conjugated polyglutamine binding peptide 1 could be considered
as a therapeutic candidate for polyglutamine diseases.
Heterocyclic Moieties as HDAC Inhibitors: Role in Cancer Therapeutics
Authors: Tasneem Sharba , Alam Mohammad Mumtaz , Amir Mohammad , Akhter Mymoona , Parvez Suhel , Verma Garima , Nainwal Lalit Mohan , Equbal Ashif , Anwer Tarique , Shaquiquzzaman Mohammad 
Published: December 2021

Abstract:
‘Epigenetic’ regulation of genes via post-translational modulation of proteins is a wellexplored
approach for disease therapies, particularly cancer chemotherapeutics. Histone deacetylases
(HDACs) are one of the important epigenetic targets and are mainly responsible for balancing the
acetylation/deacetylation of lysine amino acids on histone/nonhistone proteins along with histone
acetyltransferase (HAT). HDAC inhibitors (HDACIs) have become important biologically active
compounds for the treatment of cancers due to cell cycle arrest, differentiation, and apoptosis in tumor
cells, thus leading to anticancer activity. Out of the four classes of HDAC, i.e., Class I, II, III, and IV,
HDACIs act on Class IV (Zinc dependent HDAC), and various FDA-approved drugs belong to this
category. The required canonical pharmacophore model (zinc-binding group, surface recognition cap,
and appropriate linker) supported by HDACIs, various heterocyclic moieties containing compounds
exhibiting HDAC inhibitory activity, and structure-activity relationship of different synthetic derivatives
reported during the last twelve years have been summarized in this review.
Ultrasound-Assisted Synthesis of β-enaminone Derivatives via Tin(IV)-
Catalyzed Addition Reaction from β-dicarbonyl Compounds with Nitriles
Authors: Pei Shuchen , Yang Jinhua , Wang Jieyu , Yuan Kangyao , Li Ziqiang 
Published: December 2021

Abstract:
An efficient and eco-friendly approach for the synthesis of β-enaminone derivatives is
described by adding nitriles with β-dicarbonyl compounds under ultrasound irradiation conditions
at room temperature. The scope and limitation of this strategy are also discussed. A variety of substituted
amides can be obtained in moderate to good yields. We hope that this protocol for the efficient
synthesis of β-enaminones will offer insights into further investigations.