Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Study on the Effect of Long-Term Water Injection on Micropore Structure of Ultralow Permeability Sandstone Reservoir

During the long-term waterflooding (LTWF) in oil reservoirs, the formation is subject to permeability reduction as clay release and fine migration. At present, the mechanisms of permeability impairment in both macroscopic and microscopic pore structures in ultralow permeability reservoirs under LTWF are unclear. This statement epitomizes the main objective of this work: to understand how long-term waterflood changes porous structures and thus compromises permeability. The standard core flow experiments in conjunction with a couple of tests consisting of online nuclear magnetic resonance (NMR), high-pressure mercury intrusive penetration (HPMIP), X-ray diffraction (XRD), and scanning electron microscope (SEM) were performed to determine the mineral compositions, macrophysical properties, and micropore structures of two kinds of cores with different natures of pore distribution (i.e., unimodal and bimodal) before and after LTWF in Yan Chang field China. Results showed that the permeability decreased while the porosity increased after the LTWF. With respect to the pore size distribution, the small pores (SPs) decreased and the large pores (LPs) increased for both cores. For the unimodal core, the distribution curve shifted upwards with little change in the radius of the connected pores. For the bimodal core, the curve shifted to the right with an increasing radius of connected pores. With respect to the characteristic parameters, the average pore radius, median pore radius, structural coefficient, and tortuosity increased, while the relative sorting coefficient decreased. The relative changes of the parameters for the unimodal core were much smaller than those for the bimodal core. With respect to the clays, chlorite accounted for a majority proportion of the clays, and its content increased after LTWF. According to these changes, the mechanism of LTWF at different stages was interpreted. At the early stages, the blockage of the released clays occurred in SPs. Some of the middle pores (MPs) and LPs became larger due to the release and some of them became smaller due to the accumulation. At the middle stage, the blockage of SPs weakened. Some flow channels formed by MPs and LPs became dominant flow channels gradually. The effluxes of particles occurred, resulting in a significant increase in porosity. At the late stage, the stable flow channels have formed. The higher response of the bimodal core to LTWF could be attributed to its higher content of chlorite, which was more likely to accumulate. This study clarifies the mechanism of fine-migration-induced formation damage in microscopic pore structures and the migration pattern of clay minerals in ultralow permeability reservoirs. The work provides potential guidance for optimizing waterflood strategies in ultralow permeability reservoirs.
Using Neuroscience and Positive Psychology to Enhance College Teaching and Learning

A is a silent obstacle limiting many college students’ ability to thrive. Nearly three out of four college students experience overwhelming anxiety. In wake of the COVID-19 pandemic, a recent study found that 80 percent of United States’ students reported negative mental health effects. As educators, we cannot simply sit back, watch our students suffer and hope things will eventually get better. We must be proactive. L.A. C.E. —love, authenticity, courage and empathy—is a comprehensive approach that can address a wide variety of threats, fears and anxieties that students face. At the center of this approach, which I developed to improve the overall climate on my campus, is an understanding that universities are not ends to themselves but mechanisms to educate and create better societies. L.A. C.E. empowers college teachers and students to co-create successful learning environments and a sense of belonging for everyone. Scientific Foundations of L.A. C.E.
Viterbi Algorithm and Its Application to Indonesian Speech Recognition

An algorithm used to extract HMM parameters is revisited. Most parts of the extraction process are taken from implemented Hidden Markov Toolkit (HTK) program under the name HInit. The HMM model is introduced briefly based on the theory of Markov Chain. We schematically outline the Viterbi method implemented by HInit. The iterative formal definition of the method which directs computer implementation is reviewed. We also illustrate the method calculation precisely using manual calculation and extensive graphical illustration. The distribution of observation probability used is simply independent Gaussians. The performance of the algorithm for phone recognition rate on small Indonesian vocabulary is 80%, while the result is near perfect 95% for word recognition.
For Love or Money? Examining Reasons behind OSS Developers’ Contributions

ABSTRACT Over the past decade, corporations such as Microsoft and IBM have become increasingly involved in open source software projects and development platforms. In this study, we examine motivations behind contributions in OSS platforms that have increasingly come under commercial influence. Empirical analysis of 2017 GitHub Open Source Survey data of over 5,500 randomly selected OSS developers indicated that carrots (tangible motivations) and rainbows (value-based factors) play their role. However, carrots are relatively more important.
An adaptive selection method for repair nodes in distributed storage systems

In distributed storage system, how to optimize the repair time of failure data to ensure the high reliability of the system has aroused wide attention. In recent years, studies have found that different node selection mechanisms in the repair process have a great impact on the data regeneration time, and previous work has proposed the node selection under the single node failure scenario. In the case that multiple nodes are repaired at the same time in the system, the huge space-time overhead of SPSN algorithm makes the data regeneration time no longer optimal. Make statistics on failure data and causes of existing real systems; In order to solve the replication strategy in the storage overhead and the erasure code strategy in the repair of bandwidth overhead, network coding technology, called regenerative code, is introduced into distributed storage system to balance the storage cost and bandwidth cost. In this paper, single-node repair algorithm and multi-node collaboration algorithm are mainly studied.
Local and Nonlocal Impacts of Gaps on Submerged Canopy Flow

Although shear layers generated by submerged vegetation reach a steady state once production and dissipation are balanced within a canopy, shear layers found in gaps and after trailing edges of canopy patches are inherently different and thereby perturb the canopy's mean and turbulent fields. Experiments were conducted in a laboratory flume to study canopy systems in which two model patches of submerged, rigid cylinder arrays are interrupted by a gap of varying stream‐wise lengths. Results show that, consistent with past studies, gaps locally enhance turbulence. However, this perturbation does not remain “local” within the gap, instead introducing enhanced turbulent energies throughout the water column that are transported downstream and thereby perturb the canopy flow. The study suggests a scaling, E=H−hcqU2L2 , which compares the eddy turnover time of the turbulence produced by the gap to the advection time downstream the second patch, that can be used to predict if turbulence perturbations induced by an upstream gap will influence the turbulence at a given distance downstream.
Sparsity‐promoting least‐squares reverse time migration via preconditioned Bregmanized operator splitting

Nowadays the least‐squares reverse time migration has become the most used migration method because of its accuracy in amplitude recovery and high‐resolution imaging, specifically its priority to image the beneath of structural domes such as salt domes. However, errors in the migration velocity model, inadequate physics of modelling/migration and too sparse data decrease the quality of the migrated image. Sparsity constraints help to mitigate the shortcomings of the least‐squares reverse time migration and stabilize the migration image, but the computational burden of sparse solvers is still a big challenge. In this paper, we propose a fast sparsity‐promoting least‐squares reverse time migration algorithm based on the Bregmanized operator splitting algorithm. In particular, we solve the least‐squares reverse time migration with l1 ‐norm regularization to increase the image resolution while removing the artefacts which cannot be suppressed by the traditional least‐squares reverse time migration. Also we develop a preconditioned Bregmanized operator splitting algorithm where iteratively using of a preconditioner decreases the computational burden. The proposed method is applied to a few sets of synthetic data, and results are compared with reverse time migration or least‐squares reverse time migration to verify its superiority. Numerical tests demonstrate that the proposed preconditioned Bregmanized operator splitting algorithm converges to the desired migration image in a small number of iterations.
Akses Pelayanan Kesehatan Keluarga Berstatus Ekonomi Rendah di Era JKN

Economically disadvantaged families often cannot pay for healthcare. Since Jaminan Kesehatan Nasional (JKN) was launched in 2014, the government expands subsidies for these families, identified based on consumption. However, this criterion would misclassify families with low purchasing power as economically advantaged because they have large consumption, financed through social assistance. This paper uses the income from the main job instead to determine families’ economic rank. Based on 35 percent of families with the lowest income, utilisation increases with insurance availability. Predictions using consumption as the gauge for economic rank are underestimated, up to 71 percent for inpatient services. Masyarakat dengan status ekonomi rendah sering kali tidak mampu memenuhi kebutuhan kesehatannya. Sejak Jaminan Kesehatan Nasional (JKN) diluncurkan pada tahun 2014, Pemerintah memperluas subsidi iuran bagi keluarga tidak mampu yang diidentifikasi menurut nilai konsumsi. Masalahnya, kriteria ini akan mengategorikan keluarga tidak mampu sebagai mampu karena nilai konsumsi yang besar dibiayai oleh pihak lain. Sebagai alternatif, kajian ini menggolongkan keluarga berdasarkan besaran penghasilan yang didapatkan dari pekerjaan. Untuk 35 persen keluarga berpenghasilan terendah, probabilitas utilisasi ditemukan meningkat dengan ketersediaan jaminan kesehatan. Penggunaan besaran konsumsi sebagai acuan peringkat ekonomi terlalu kecil menafsir pengaruh kepesertaan jaminan kesehatan pada utilisasi, sampai sebanyak 71 persen pada pelayanan rawat inap.
Methane dry reforming over hydrotalcite-derived Ni–Mg–Al mixed oxides: the influence of Ni content on catalytic activity, selectivity and stability

Ni-containing hydrotalcite-derived catalysts were prepared using different Ni loadings (from ca. 4 to 60 wt%) at the same MII/MIII ratio equal to 3. The influence of the Ni content on the physico-chemical features of these catalysts was studied, as well as the influence of this parameter on their activity in dry reforming of methane at low to moderate temperatures. The characterization of materials showed that the catalysts' properties, such as reducibility, basicity, morphology, texture and crystallite size, were strongly influenced by the Ni content. Dry reforming of methane and direct methane decomposition experiments showed increasing methane conversion with increasing Ni content, as a consequence of increasing Ni particle size. CO2 conversion was found to be higher for the catalysts showing the highest total basicity. Carbon formation was higher for the catalysts prepared at the highest Ni loadings, thus pointing to reduced Ni content as a way of controlling carbon formation through methane decomposition.
Numerical Study on the Influence of Non-uniform Demagnetization of Permanent Magnet Synchronous Motor

To study the influence of the non-uniform demagnetization of permanent magnets (PMs) on motor performance, this paper takes a two-phase four-pole Permanent Magnet Synchronous Motor (PMSM) as the research specimen. The influences of torque, phase current, back electromotive force (back-EMF), and radial magnetic density with different grades and types of demagnetization are analyzed. The simulation results show that as the degree of nonuniform demagnetization increases, the output torque and radial magnetic density gradually decrease, on the other hand, the phase current gradually increases. According to the change law of the amplitude of some harmonics of the back-EMF, it can be judged whether the motor has non-uniform demagnetization. This research conclusion can provide a theoretical basis for fault diagnosis of motor demagnetization.
The Influence of Robotic Process Automation (RPA) towards Employee Acceptance

295 Published By: Blue Eyes Intelligence Engineering and Sciences Publication Retrieval Number: 100.1/ijrte.E5289019521 DOI:10.35940/ijrte.E5289. 019521 Abstract: There are various organizations that have automated the technology used in accounting and financial services to increase productivity and optimize operating costs. Among the automation technology transformations used in accounting and financial services is Robotic Process Automation (RPA). However, not all technological transformations are positive because they may cause fear among employees due to changes in the work process. Hence, the aim of this study is to understand the influence of RPA towards employee acceptance in the finance and accounting unit. This study uses an in-depth case study approach in one of the largest oil and gas company in the world. The result of the study showed that RPA technology has significant influences on employee acceptance. The results are discussed according to five elements which are threatening job opportunities, changes in the scope of work, adaptation to technology, career advancement, work-life balance, and job satisfaction. The results showed that employees must adapt with the changes due to the new technology implementation and embrace it positively because at the end of the day, new automation will always appear. Furthermore, the changes that take place must be openly accepted in order to maintain the reputation of their profession as well as the achievements of the organization.
Deterministic Optimality for Robust Vehicle Localization Using Visual Measurements

Localization is fundamental for autonomous vehicle applications. Compared with widely developed LiDAR-based vehicle localization, vision based localization has attracted considerable attention in recent years owing to the low-cost sensor. One of the challenges for visual localization is the outlier in measurements due to the appearance changes caused by illumination, season, and weather. To address this problem, we present a real-time robust visual localization approach that achieves deterministic optimality with global convergence. The idea is to decouple the rotation and translation estimation by utilizing the fact that the pitch and roll angles of the query pose are similar to those of the map reference pose, since the vehicle motion is locally planar. Based on the decoupled formulation, we first estimate the optimal yaw angle and eliminate the majority of outliers by an efficient inlier voting method, then find the optimal translation by maximum clique search. The two subproblem estimators are embedded into a prioritized search paradigm to guarantee deterministic optimality. In the experiments, the simulation demonstrates that the proposed method can achieve superior robustness even dealing with extreme outlier rates (95%). Results on both public and self-collected real-world vehicle datasets validate the effectiveness of the proposed method in the real application.
Enhancing the efficiency of continuous integration environment in DevOps

Faster release of features to the production environment is the need of the hour of every IT organizations. This faster and continuous software delivery is made possible through DevOps. DevOps is a set of practices that bridges the gap between development team and operations team. The different aspects of DevOps came from agile methodology. Continuous integration is the paramount of DevOps life cycle. In a continuous integration development practice, the development code and the applications code are continuously integrated several times a day. Developers follow the practice of committing changes frequently into the version control system such as git. A change in the version control system triggers the continuous integration system such as Jenkins. This exploratory study presents the ways that support the developers during the build break in continuous integration environment and thereby improve the efficiency of continuous integration process. Our findings contribute that the selected list of plugins in the Jenkins support the developers during the build break, thus developers can come up with faster recovery of build failures which in turn increase the efficiency of continuous integration environment.
Efficacy of Acceptance and Commitment Therapy Compared to Cognitive Behavioral Therapy on Anger and Interpersonal Relationships of Male Students

Objective: The aim of the present study was to determine the efficacy of acceptance and commitment therapy (ACT) compared to cognitive-behavioral therapy (CBT) on anger and interpersonal relationships among male students. Method: In the present study, several universities were selected from the public universities in Tehran province, based on random cluster sampling. Then, 400 students from selected universities were selected randomly and Aggression Questionnaire (AGQ) was administered on them. After collecting information, among the participants who gained scores higher than the average, 30 were selected based on the lottery and randomly (sorting their names in alphabetical order and randomly selecting them) and then were placed randomly in ACT (n = 15) and CBT (n = 15) groups. Also, the Fundamental Interpersonal Relation Orientation- Behavior (FIRO-B) and Aggression Questionnaire (AGQ) was performed on both groups before and after intervention. Results: The results indicated that at the end of treatment, there was a significant decrease in the degree of anger among the participants and a significant improvement in all subscales of interpersonal relationships. Also, a significant difference was found between the 2 groups of ACT and CBT in terms of anger changes. Considering that the anger changes in the ACT group were higher, it can be concluded that the ACT group had more changes than the CBT group, but there was no significant difference between the 2 groups of ACT and CBT in terms of FIRO-B subscales. Conclusion: In some cases, such as anger, ACT has a better effect than CBT, and in others, such as interpersonal problems, it is as effective as CBT.
Pilot’s mental workload nonlinear correlation among objective and subjective measurements

In the aviation framework, the workload evaluation is influenced by human factors effects both for pilots and ground operators. Nevertheless, the measurement of workload is of great importance to prevent human errors due to fatigue. In the present work, correlation analysis has been carried out to investigates the relationship between subjective and objective workload measurements. An experimental campaign was conducted using a full flight business aircraft simulator. Particular attention has been paid to the NASA-TLX subscales contribute. In terms of objective measurements, three different indexes gathered from heart rate variability have been considered. As the main result, the frequency-domain index reveals a large correlation effect with the workload subscale for the maneuvers taken into account.
Student’s Perception of Blended Learning Implementation for Plant Structure and Development Courses and Their Influence on Student Grades in Biology Department of Andalas University

Nowadays, information technology (internet) has a major influence on the world of education. The application of various learning media or “blended learning” has been carried out in the Plant Structure and Development course in the Biology Department, Andalas University. In its application, several obstacles were encountered so the research was carried out on student opinions regarding the use of various learning media. The study aim is to determine the learning media preferred by students. Data collection was carried out by using a questionnaire method which asked student’s satisfaction in using each learning media used in blended learning and then analyzed using the SPS3 program. Students are also asked to explain briefly the reasons for choosing the preferred learning media. In this study, students are generally preferred face-to-face compared to using other learning media. The implementation of blended learning (non-face-to-face) affects, namely a decrease in the percentage of students who get an A grade, an increase in the percentage of students with a B and a D grade.
Emotional labor in a sales ecosystem: a salesperson-customer interactional framework

Purpose The concept of emotional labor refers to the management of emotions in interaction with customers. This study aims to suggest an integrative definition of emotional labor. It develops a conceptual framework that helps organize and synthesize key insights from the literature, in an interactional and multi-level perspective. Design/methodology/approach This integrated framework consists in a mapping of key research themes resulting from a systematic literature review, which includes research in sales and marketing. As critical affective processes in sales have not been studied sufficiently, both in business-to-business and business-to-customer selling, this review also incorporates works in other research fields. Findings Sales representatives’ emotional labor must be considered as a bi-directional interaction with the customer in a multi-level perspective. Moreover, emotional labor has rather negative consequences for the salesperson (e.g. burnout and job stress), but may have positive sales and customer outcomes. Findings suggest that the expression of genuine emotions should be used during sales interactions. In addition, organizations should prevent customers’ negative behaviors (e.g. mistreatment). Practical implications Emotional labor key practical implications with regard to several management functions such as the recruitment, performance management and training (Ashkanasy and Daus, 2002) of the sales representatives. Originality/value Research on emotional labor in a sales ecosystem is scarce. It has largely covered service industry employees in contact with customers, but has not paid enough attention to sales representatives (Mikeska et al., 2015). The proposed integrated framework concerning emotional labor focuses on the bi-directional interaction between the sales representatives and their customers.
Aktuelle Konzepte der nicht chirurgischen Parodontitistherapie

32 Trotz eines hohen Erkrankungsbefalls werden Patienten mit entzündlichen Parodontalerkrankungen nur unzureichend versorgt. Die meisten Parodontitiden können durch den Allgemeinzahnarzt erfolgreich behandelt werden. Grundlage ist zunächst eine antiinfektiöse Therapie durch eine subgingivale Instrumentierung mit Entfernung des Biofilms und von Konkrementen. Eine adjuvante Verabreichung von systemischen oder lokal wirksamen antimikrobiellen Medikamenten kann dies in bestimmten Fällen unterstützen.