bluuebunny/crossref_metadata_2025_split huggingface dataset:
Special Issue on Augmenting the Human Body and Being
Authors: Inami Masahiko , Iwata Hiroyasu , Kukita Minao , Kurita Yuichi , Minamizawa Kouta , Mochimaru Masaaki , Narumi Takuji , Rekimoto Junichi , Suzuki Kenji 
Published: October 2021

Information technologies, such as IoT, artificial intelligence (AI), and virtual reality (VR), have seen so much development that there is now a wide variety of digital equipment incorporated into the infrastructure of daily life. From the agrarian society (Society 1.0) through the information society (Society 4.0), humankind has created farmlands and cities by structuring natural environments physically and has built information environments by structuring them informationally. However, despite the rapid development of information environments, it may be fair to say that the perspectives of the human body have not changed at all since the industrial revolution.
In the context of these recent technological developments, greater attention is being paid to human augmentation studies. These studies aim for a new embodiment of “human-computer integration,” one which can physically and informationally compensate or augment our innate sensory functions, motor functions, and intellectual processing functions by using digital equipment and information systems at will, as if they were our hands and feet. It has also been proposed that the technical systems that enable us to freely do what we want by utilizing human augmentations be called “JIZAI” (freedomization) as opposed to “automation.”
The term “JIZAI body” used in these studies represents the new body image of humans who will utilize engineering and informatics technologies to act at will in the upcoming “super smart society” or “Society 5.0.” In these studies, human augmentation technologies are an important component of JIZAI, but JIZAI is not the same as human augmentation. JIZAI is different in scope from human augmentation, as it aims to enable humans to move freely among the five new human body images: “strengthened sense” (augmented perception), “strengthened physical body” (body augmentation), “separately-designed mind and body” (out of body transform), “shadow cloning,” and “assembling.” In the society of the future where JIZAI bodies widely prevail, we will use technologies that enable us to do what we have failed at or given up due to limitations of our physical bodies. We believe that a future society, one in which aging does not reduce our capabilities but instead increased options give us hope, can be realized. This special issue, consisting of two review papers and twelve research papers, deals with diverse and wide-ranging areas, including human augmentation, robotics, virtual reality, and others. We would like to express our sincere appreciation to all the authors and reviewers of the papers contributed to this special issue and to the editorial committee of the Journal of Robotics and Mechatronics for their gracious cooperation.
Strategi pembinaan kader politik melalui literasi politik
Authors: Hendrik Asep , Danial Endang 
Published: October 2021

The purpose of thins study is to explore, study, and analyze the urgency of fostering political cadres through political literacy conducted by the GOLKAR Cianjur regency party in fostering political cadres. The research approach used in this study is a qualitative approach while the research method used case studies. Data collection techniques using interviews, observation, study documentation and study literature. Data analysis includes data reduction, data presentation and conclusion drawing/verification. The findings of this study generally reveal that the urgency of fostering political cadres through political literacy is to improve the competence of party cadres. The competency is the basic capital for political cadres to contest in the general election.
Abstrak Tujuan penelitian ini untuk menggali, mengkaji, dan menganalisis tentang urgensi pembinaan kader politik melalui literasi politik yang dilakukan oleh partai GOLKAR Kabupaten Cianjur dalam membina kader politiknya. Pendekatan penelitian yang digunakan dalam penelitian ini adalah pendekatan kualitatif sedangkan metode penelitian menggunakan studi kasus. Teknik pengumpulan data menggunakan wawancara, observasi, studi dokumentasi. Berdasarkan hasil analisis data yang meliputi reduksi data, penyajian data dan penarikan kesimpulan/verifikasi bahwa temuan penelitian ini mengungkapkan bahwa urgensi pembinaan kader politik melalui literasi politik bertujuan untuk meningkatkan kompetensi kader partai. Kompetensi tersebut sebagai modal dasar kader politik untuk berkontestasi dipergelaran pemilihan umum.
Inexact Methods for Black-Oil Sequential Fully Implicit SFI Scheme
Authors: Zhou Yifan , Jiang Jiamin , Tomin Pavel 
Published: October 2021

Abstract
The sequential fully implicit (SFI) scheme was introduced (Jenny et al. 2006) for solving coupled flow and transport problems. Each time step for SFI consists of an outer loop, in which there are inner Newton loops to implicitly and sequentially solve the pressure and transport sub-problems. In standard SFI, the sub-problems are usually fully solved at each outer iteration. This can result in wasted computations that contribute little towards the coupled solution. The issue is known as ‘over-solving’. Our objective is to minimize the cost while maintain or improve the convergence of SFI by preventing ‘over-solving’.
We first developed a framework based on the nonlinear acceleration techniques (Jiang and Tchelepi 2019) to ensure robust outer-loop convergence. We then developed inexact-type methods that prevent ‘over-solving’ and minimize the cost of inner solvers for SFI. The motivation is similar to the inexact Newton method, where the inner (linear) iterations are controlled in a way that the outer (Newton) convergence is not degraded, but the overall computational effort is greatly reduced. We proposed an adaptive strategy that provides relative tolerances based on the convergence rates of the coupled problem.
The developed inexact SFI method was tested using numerous simulation studies. We compared different strategies such as fixed relaxations on absolute and relative tolerances for the inner solvers. The test cases included synthetic as well as real-field models with complex flow physics and high heterogeneity. The results show that the basic SFI method is quite inefficient. When the coupling is strong, we observed that the outer convergence is mainly restricted by the initial residuals of the sub-problems. It was observed that the feedback from one inner solver can cause the residual of the other to rebound to a much higher level. Away from a coupled solution, additional accuracy achieved in inner solvers is wasted, contributing to little or no reduction of the overall residual. By comparison, the inexact SFI method adaptively provided the relative tolerances adequate for the sub-problems. We show across a wide range of flow conditions that the inexact SFI can effectively resolve the ‘over-solving’ issue, and thus greatly improve the overall performance.
The novel information of this paper includes: 1) we found that for SFI, there is no need for one sub-problem to strive for perfection (‘over-solving’), while the coupled residual remains high because of the other sub-problem; 2) a novel inexact SFI method was developed to prevent ‘over-solving’ and minimize the cost of inner solvers; 3) an adaptive strategy was proposed for relative tolerances based on the convergence rates of the coupled problem; and 4) a novel SFI framework was developed based on the nonlinear acceleration techniques to ensure robust outer-loop convergence.
Unified Reservoir And Seismic Simulation With Explicit Representation Of Fractures And Faults
Authors: Han Zheng , Ren Guotong , Younis Rami M. 
Published: October 2021

Abstract
In the context of remote sensing, the vast disparity in characteristic scales between seismic deformation (e.g. milliseconds) and transient flow (e.g. hours) allows a "two-model paradigm" for geophysics and reservoir simulation. In the context of flow-induced geohazard risk mitigation and micro-seismic data integration, this paradigm breaks down. Under micro-seismic deformation, events occur with high-frequency, and over sustained duration during which the rock-fluid coupling is significant. In risk mitigation scenarios, the onset of seismic deformation is directly tied to quasi-static coupling periods. This work develops an approach to reservoir simulation modeling that allows simultaneous resolution of transient (inertial) poromechanics and multiphase fluid flow in the presence of fracture.
A mixed discretization scheme combining the extended finite element method (XFEM) and the embedded discrete fracture model (EDFM) is extended using a second-order implicit Newmark time integration scheme for the inertial mechanics. A Lagrange multiplier method is developed to model pressure-dependent contact traction in fractures. The contact constraints are adapted to accommodate fracture opening. Slip-weakening fracture friction models are incorporated. Finally, a time-step controller is proposed to combine local discretization error with contact traction and slip-rate control along the fractures. This strategy allows automatic adaptation to resolve quasi-static, inter-seismic triggering, and co-seismic spontaneous rupture periods within one model. The model is verified to simulate complete induced earthquake sequences, including inter-seismic and dynamic rupture phases. The performance of the adaptive model is illustrated for cases with various set-ups of production and injection periods in a fractured reservoir with explicit fracture representation.
A 3D Coupled Thermal-Hydraulic-Mechanical THM Model Using EDFM and XFEM for Hydraulic-Fracture-Dominated Geothermal Reservoirs
Authors: Yu Xiangyu , Wang Cong , Yan Xia , Wang Shihao , Wang Lei , Winterfeld Philip , Wu Yu-Shu 
Published: October 2021

Abstract
Enhanced Geothermal Systems (EGS) are those geothermal reservoirs artificially fractured to create paths for injected low-temperature fluid which is then heated up along the flow path until production for electricity generation. This heat recovery involves three tightly coupled processes: thermal, hydraulic and mechanical which interacts with each other and in turn affects the energy production. The local temperature field would be disturbed by injected fluid, resulting in thermal/poroelastic responses near the hydraulic fractured area which are the dominant factors of fluid flow. In this paper, the three-dimensional (3D) Embedded Discrete Fracture Model (EDFM) was adopted to describe the geometry of the fracture and simulate fluid flow and heat transfer between fractures and the matrix, while mechanics, including displacement of the strong discontinuity (fractures), was solved by the 3D eXtended Finite Element Method (XFEM). With the capability of modeling fractures of arbitrary shapes within a 3D reservoir domain using 3D EDFM-XFEM, a coupled THM model was developed based on the unconditionally stable fixed-stress split sequential-implicit method, where the fluid flow/heat transfer module and mechanics module are solved iteratively until convergence within a time step. Fluid flow/heat transfer and XFEM with internal/external tractions are both validated by comparison with existing simulators. We conducted simulations for two synthetic geothermal reservoir heat recovery cases to investigate the effects of the injection temperature and boundary traction condition on the production temperature and fracture deformation. The results indicate that the fracture aperture and permeability are sensitive to temperature variation and hence impact the production rate/temperature. Thermal strain might be the dominant factor of rock deformation, especially in the shallow depth where geostress is at a low level.
Efficient Drill Sequence Optimization Using a Heuristic Priority Function
Authors: Wang Zhenzhen , He Jincong , Tanaka Shusei , Wen Xian-Huan 
Published: October 2021

Abstract
Drill sequence optimization is a common challenge faced in the oil and gas industry and yet it cannot be solved efficiently by existing optimization methods due to its unique features and constraints. For many fields, the drill queue is currently designed manually based on engineering heuristics. In this paper, a heuristic priority function is combined with traditional optimizers to boost the optimization efficiency at a lower computational cost to speed up the decision-making process.
The heuristic priority function is constructed to map the individual well properties such as well index and inter-well distance to the well priority values. As the name indicates, wells with higher priority values will be drilled earlier in the queue. The heuristic priority function is a comprehensive metric of inter-well communication & displacement efficiency. For example, injectors with fast support to producers or producers with a better chance to drain the unswept region tend to have high scores. It contains components that weigh the different properties of a well. These components are then optimized during the optimization process to generate the beneficial drill sequences. Embedded with reservoir engineering heuristics, the priority function helps the optimizer focus on exploring scenarios with promising outcomes.
The proposed heuristic priority function, combined with the Genetic Algorithm (GA), has been tested through drill sequence optimization problems for the Brugge field and Olympus field. Optimizations that are directly performed on the drill sequence are employed as reference cases. Different continu- ous/categorical parameterization schemes and various forms of heuristic priority functions are also investigated. Our exploration reveals that the heuristic priority function including well type, constraints, well index, distance to existing wells, and adjacent oil in place yields the best outcome. The proposed approach was able to achieve a better optimization starting point (∼5-18% improvement due to more reasonable drill sequence rather than random guess), a faster convergence rate (results stabilized at 12 vs. 30 iterations), and a lower computational cost (150-250 vs. 1,300 runs to achieve the same NPV) over the reference methods. Similar performance improvement was also observed in another application to a North Sea type reservoir. This demonstrated the general applicability of the proposed method.
The employment of the heuristic priority function improves the efficiency and reliability of drill sequence optimization compared to the traditional methods that directly optimize the sequence. It can be easily embedded in either commercial or research simulators as an independent module. In addition, it is also an automatic process that fits well with iterative optimization algorithms.
Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform
Authors: Tuan Nguyen A. , Akila D. , Pal Souvik , Sarkar Bikramjit , Tran Thien Khai , Le Dac-Nhuong 
Published: October 2021

Abstract
This article presents a new scheme for data optimization in IoT assister sensor networks. The various components of IoT assisted cloud platform are discussed. In addition, a new architecture for IoT assisted sensor networks is presented. Further, a model for data optimization in IoT assisted sensor networks is proposed. A novel Membership inducing Dynamic Data Optimization (MIDDO) algorithm for IoT assisted sensor network is proposed in this research. The proposed algorithm considers every node data and utilized membership function for the optimized data allocation. The proposed framework is compared with two stage optimization, dynamic stochastic optimization and sparsity inducing optimization and evaluated in terms of performance ratio, reliability ratio, coverage ratio and sensing error. It was inferred that the proposed MIDDO algorithm achieves an average performance ratio of 76.55%, reliability ratio of 94.74%, coverage ratio of 85.75% and sensing error of 0.154.
Study On the Degradation Mechanism of 2-Amino-4-Acetaminoanisole From Wastewater by Nano-Fe3O4 Catalyzed Heterogeneous Fenton System
Authors: Liu Hong , Zhang Peng , Chen Houwang , Ding Ning , Ni Jing 
Published: October 2021

Abstract
Wide use of 2-Amino-4-Acetaminoanisole (AMA) as a coupling component in the synthesis of many commercial dyes leads to the generation of AMA dyed wastewater. Discharge of untreated AMA dyed wastewater could bring environmental concerns. The present study featured H2O2 heterogeneous Fenton system to degrade 2-Amino-4-Acetaminoanisole from wastewater using nano-Fe3O4 catalyst prepared via the co-precipitation method. Based on a single factor and taking the AMA removal rate as the response value, the Box-Benhnken (BBD) response surface method was used to investigate the individual effects of Fe3O4 dosage, H2O2 dosage, initial pH, and reaction time. For the interaction study, the experimental data were processed with Design-Expert 10.0 software to obtain a quadratic response surface model. The results showed that the order of the influence of the four independent variables on the response value is as follows: nano-Fe3O4 dosage > H2O2 dosage > reaction time > pH. The obtained mathematical model exhibited a high degree of fit with the maximum AMA removal efficiency reaching to 100%. The optimal reaction conditions considered in this study are 1.70 g/L of Nano-Fe3O4 dosage, 53.52 mmol/L of H2O2 dosage, pH 5.14 and 388.97 mins as system reaction time. Furthermore, HPLC-MS was employed to analyze the degradation mechanism of AMA and the reaction intermediate products. Findings of this research provides fundamental theory and could guide subsequent practical AMA treatment during wastewater treatment.
Serum Long Non-Coding RNA SCARNA10 Serves As A Potential Diagnostic Biomarker For Hepatocellular Carcinoma
Authors: Han Yawei , Jiang Wenna , Wang Yu , Zhao Meng , Li Yueguo , Ren Li 
Published: October 2021

Abstract
Background: Circulating long non-coding RNAs (lncRNAs) have been demonstrated to serve as diagnostic or prognosis biomarkers for various disease. We aimed to elucidate the diagnostic efficacy of serum lncRNA SCARNA10 for the hepatocellular carcinoma (HCC).Methods: In this study, a total of 127 patients with HCC, 55 patients with benign liver disease (BLD), and 99 healthy controls (HC) were enrolled in this study. According to different classifications, the levels of serum SCARNA10 were assessed by quantitative real-time polymerase chain reaction (qPCR). The correlations between serum SCARNA10 and clinicopathological charcaterisstics were further analyzed. The receiver operating characteristic (ROC) curve and area under curve (AUC) were utilized to estimate the diagnostic capacity of serum SCARNA10 and its combination with AFP for HCC. Results: The results demonstrated that the levels of serum SCARNA10 were significantly higher in HCC patients than in patients with BLD and healthy controls, and significantly increased in HCC patients with hepatitis B or C infection, or with liver cirrhosis. Furthermore, positive correlations were noted between serum SCARNA10 level and some clinicopathological characteristics, including tumor size, differentiation degrees, tumor stage, vascular invasion, tumor metastasis and complications. ROC analysis revealed that SCARNA10 had a significantly predictive value for HCC, the combination of SCARNA10 and AFP gained the higher accuracy. SCARNA10 retained significant diagnosis capabilities for AFP-negative HCC patients. Conclusions: In summary, lncRNA SCARNA10 may serve as a novel and non-invasive biomarker with relatively high sensitivity and specificity for HCC diagnosis.
Protective Effect of Methyl gallate on Murine Antigen-Induced Arthritis by Inhibiting Inflammatory Process and Bone Erosion
Authors: Correa luana Barbosa , Pádua Tatiana Almeida , Alabarse Paulo Vinicius , Saraiva Elvira Maria , Fukada Sandra Yasuyo , Rosas Elaine Cruz , Henriques Maria 
Published: October 2021

Abstract
Methyl gallate (MG) is a plant-derived phenolic compound known to present remarkable anti-inflammatory effect in different experimental models such as paw oedema, pleurisy, zymosan-induced arthritis and colitis. Herein we investigated the effect of MG in the mice model of antigen-induced arthritis (AIA), a model with complex inflammatory response, driven primally by immune process and that cause bone and cartilage erosion similarly found in rheumatoid arthritis. Arthritis was induced by i.a injection of albumin methylated from bovine serum (mBSA) in C57BL/6 male mice previously immunized. The dose-response analysis of MG (0.7-70 mg/kg; p.o) showed that maximum inhibition was reached with the dose of 7 mg/kg on paw oedema and cell infiltration induced by AIA at 7 h. Treatment with MG (7mg/kg; p.o) or with the reference drug, dexamethasone (Dexa,10 mg/kg, ip) reduced AIA oedema formation, leukocyte infiltration, release of extracellular DNA and cytokine production 7 and 24 h (acute response). Mice treated daily with MG for seven days showed no significant weight loss or liver and kidney toxicity contrary to Dexa that induced some degree of toxicity. Prolonged treatment with MG inhibited the late inflammatory response (28 days) reducing oedema formation, cell infiltration, synovial hyperplasia, pannus formation and cartilage degradation as observed in histopathological analyses. Ultimately, MG reduced bone resorption as evidenced by a decrease in tartrate-resistant acid phosphate (TRAP)-positive cells number in femur histology. Altogether, we demonstrate that MG ameliorates the inflammatory reaction driven primarily by the immune process, suggesting a potential therapeutic application in arthritis treatment.
New Soliton Solutions of The Nonlinear Radhakrishnan-Kundu-Lakshmanan Equation With the Beta-Derivative
Authors: Pandir Yusuf , Gurefe Yusuf , Akturk Tolga 
Published: October 2021

Abstract
In this article, the modified exponential function method is applied to find the exact solutions of the Radhakrishnan-Kundu-Lakshmanan equation with Atangana’s conformable beta-derivative. The definition of the conformable beta derivative and its properties proposed by Atangana are given. With the proposed method, exact solutions of the nonlinear Radhakrishnan-Kundu-Lakshmanan equation which can be stated with the conformable beta-derivative of Atangana are obtained. The exact solutions found as a result of the application of the method seem to be 1-soliton solutions, dark soliton solutions, periodic soliton solutions and rational function solutions. According to the obtained results, we can say that the Radhakrishnan-Kundu-Lakshmanan equation with Atangana’s conformable beta-derivative have different soliton solutions. Also, three-dimensional contour and density graphs and two- dimensional graphs drawn with different parameters are given of these new exact solutions.