Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Simulation of Deep Azimuthal Resistivity Tool in 2D Fault Model Using Neural Networks

In most cases, interpretation of resistivity measurements is performed using 1D multilayered formation models that are used to fit data locally in real-time applications. While drilling high-angle or horizontal wells, more complex scenarios may occur, such as faults, pinch-outs, or unconformities. In these cases, resistivity logging data inversion should be performed using at least a 2D model, which is a more complex computational problem. This paper presents a neural networks approach for solving this problem exemplified by the application of a deep azimuthal resistivity tool for geosteering in the vicinity of a tectonic fault. The tool operational frequencies of 400 kHz and 2 MHz produce eight measurements with a coaxial arrangement of transmitters and receivers, and two azimuthally sensitive measurements with axial transmitters and transverse receivers. This paper considers a 2D model of a tectonic fault composed of three parallel layers on the one side of a displacement plane and the same three layers on the other side dislocated at a certain distance along the displacement plane. The model is described with nine independent parameters. The artificial neural networks (ANNs) were designed and trained to calculate the tool signals based on the model parameters. The training was carried out using a synthetic database of 4·105 elements containing the model parameters and corresponding tool signals. The database was calculated using distributed computations with in-house Pie2D software that used the boundary integral equation technique. To estimate the accuracy of the ANNs designed, the signals calculated with the networks were compared against the exact values obtained with Pie2D for an independent sample of 1.8·104 points. The comparison gave a good match for all 10 measurements, with the relative error comprising less than one standard tool measurement error for most points of the sample. Computation with the ANN required a few microseconds to calculate one signal, while the algorithm based on boundary integral equations required several minutes. The obtained acceleration of ~106 indicates many opportunities for modeling and inversion of logging-while-drilling data.
Determinación de las reservas de carbono en la biomasa aérea de sistemas agroforestales de theobroma cacao l. En el Departamento de San Martín, Perú

En este estudio se evaluo la biomasa aerea en seis diferentes sistemas agroforestales de cacao ( Theobroma cacao L. ) asociado con especies forestales maderables y frutales; con el proposito de conocer el potencial de captura de carbono por cada sistema. El estudio se realizo en dos diferentes sitios ubicados en la region San Martin (provincias de San Martin y Mariscal Caceres). Los sistemas agroforestales estimados presentaron edades de 5, 12 y 20 anos. En cada sistema se establecieron aleatoriamente cinco cuadrantes de 100 m2 cada uno, evaluandose la biomasa vegetal total existente. Para evaluar la ecuacion alometrica del cacao se muestrearon 7 plantas cuyas edades variaron de 01 hasta 22 anos. Loas resultados en captura de carbono en cada sistema agroforestal varian desde 26.2 t C ha-1para el sistema de Pachiza de 5 anos hasta 45.07 t C ha-1del sistema agroforestal de Pachiza de 12 anos; Asi mismo, la captura de carbono en biomasa arborea de los arboles vivos, oscilo desde 12.09 t ha-1 hasta 35.5 t ha-1, seguido por la biomasa de hojarasca que presentaron valores desde 4 t ha-1 hasta 9.97 t ha-1; mientras la biomasa de arboles muertos en pie y caidos muertos presentaron valores muy variables y bajos. Los sistemas agroforestales de 12 y 20 anos representan el 66.7% de los sistemas que presentan reservas de carbono por encima de los 40 t C ha-1; mientras que los sistemas de 5 anos se encuentran con reservas de carbono por debajo de los 30 t C ha-1. Los sistemas agroforestales de 5 anos ubicados en Juanjui y Pachiza presentaron el mayor flujo de carbono anual, generando el mayor beneficio economico con creditos por CO2 equivalente.
Accounting Education in an Open Distance Learning Environment: Case Studies for Pervasive Skills Enhancement

Distance learning institutions allow access to many students who do not enjoy the luxury of studying fulltime at contact-based universities by providing flexibility in terms of time, space and finances. Globally, accountants are vital for the economy and it is important that higher education institutions empower them with the necessary skills to face the volatile working environment. Equipping accounting students with only discipline-specific knowledge, does not result in practice-ready accountants, which cause great concern for professional accounting bodies as well as employers. Certain professional accounting bodies in South Africa have recently incorporated case study-based examinations to test students’ discipline-specific knowledge and pervasive skills. Pervasive skills are soft skills, also sometimes referred to as personal attributes that allow for effective interaction between people. Using case studies to develop pervasive skills in accounting education, specifically in Open Distance Learning (ODL) institutions, is regarded as a fairly unexplored area. This article reports on how semistructured interviews gave insight into how ODL accounting educators in a developing country perceived the need to introduce a case study-based module to develop pervasive skills. It is recommended that the training of distance education accounting students should be adapted to include case studies for pervasive skills development.
Product Defect Discovery and Summarization from Online User Reviews

ive Summarization of Product Reviews with Hierarchical Encoder-Decoder Neural Network Along with the emerging of Web 2.0 and mobile computing, people get used to posting thoughts and stories online in short text forms (e.g., product reviews and tweets). Every minute, hundreds of thousands of messages are produced on the Internet, and read by diverse groups of people. Customers want to learn of the strengths, weaknesses, and user experience regarding a product through other people’s reviews, especially before making purchasing decisions. Similarly, manufacturers always want to know customers’ feedback on their products. However, the vast volume of such User Generated
Funnel Risk Graph Method in the Design of Integrated Control and Safety System

With the emergence of oil and gas industries such as the LNG industry in Australia, e.g., the Chevron’s US$54B Gorgon and Wheatstone projects, Inpex’s US$34B Ichthys, Shell’s US$12.6B Prelude FLNG, Origin’s $24.7B APLNG’s projects, to name a few, and other related industries, it is inevitable that these industries need to utilise risk analysis techniques during the development and application of their Safety Instrumented System (SIS), in order to efficiently and safely conduct its business, and for industry compliance. Currently, evaluation and design of integrated control and safety systems (ICSS), particularly the SIS are often cumbersome, time consuming and complex considering a lot of Standards and Regulations to follow. These systems are mission and safetycritical systems such that the development and execution must be carefully planned and traceable to certain Standards and Regulations but needs to be costefficient. To address this impending concern, this research project will focus on the development of an application of a more cost-effective, simplified and enhanced approach for the design and evaluation of Safety Instrumented Systems (SIS) called the Funnel Risk Graph Method (FRGM). Although risk graph methods are commonly used in industries, the FRGM is unique in a way that the approach is presented as a screening tool or initial pass, before a more detailed analysis is carried out. Instead of subjecting all Safety Instrumented Function (SIF) one-by-one to a much complex traditional assessment process, the FRGM is used as a funnel. If the assessed safety-related system received Safety Integrity Level (SIL) allocation of greater than SIL 2 during the initial pass then a semi-quantitative or a quantitative method as a ‘final pass’ should be conducted, or the multidisciplinary assessment team reached an agreement to justify the ‘second pass’ or pose a high Equipment Under Control (EUC) risk. Based on the preliminary results, it is expected that significant economic benefits can be achieved. Likewise, compliance will become more practicable and standards more useful, resulting to an equal degree of functional safety as compared to the traditional approach yet resource utilisation is efficient. Further testing and analyses will be conducted to quantify the benefits of FRGM. Real-life case studies utilizing industrial SIS devices will be presented to demonstrate the benefits of this approach. In contrast with other complex schemes commonly used for safety assessment, the proposed FRGM gives benefits such that it is straightforward in steps and resource-efficient. While safety is aimed at protecting the systems from accidental failures to eliminate or minimize hazards, security is focused on protecting the systems from deliberate malicious attacks. They share the same goal – protecting the SIS from failing. Industry cybersecurity has become more critical these days, and to address such concern, risk assessment for the cybersecurity of SIS is proposed to be integrated in the assessment process using a proposed framework, as part of the enhanced process.
Development and Experimental Validation of an Energy Regenerative Prosthetic Knee Controller and Prototype

We present the design, control, and experimental evaluation of an energy regenerative powered transfemoral prosthesis. Our prosthesis prototype is comprised of a passive ankle and a powered knee joint. The knee joint is actuated by an ultracapacitor based regenerative drive mechanism. A novel varying impedance control approach controls the prosthesis in both the stance and swing phase of the gait cycle, while explicitly considering energy regeneration. This control method varies the impedance of the knee joint based on the amount of force exerted on the shank of the prosthesis. Furthermore, the controller promotes energy regeneration by precisely injecting a designated amount of negative damping into the system. Our control approach leads to a few tuning parameters that cover all of the gait phases for walking and all of the tested walking speeds and eliminates the need for tedious target impedance scheduling. Experimental evaluation is done with an amputee test subject walking at different speeds on a treadmill. The results validate the effectiveness of the control method. In addition, net energy regeneration is achieved while walking with near-natural gait across all speeds.
The Extent of Web-Based Learning System Usage in Distance Learning Delivery in Ghanaian Universities

The aim of the research is to contribute to the body of knowledge in the area of web-based learning and distance education delivery. The study employed quantitative and survey design and discusses the extent of web-based learning system usage in Ghanaian distance learning institutions. The study sample consisted of three hundred undergraduate students from the University of Education Winneba, Institute of Distance Learning (UEW-IDL). The instrument for the research is a 13 item questionnaire and the data analyzed using the Special Software for the Social Sciences (SPSS version 17). The result showed that, the extent of the Web-based learning system usage at the University of Education Winneba, Institute of Distance Learning is very low. Future studies could focus more specifically on assessing the influence of prior experience (with computers and the Internet) and interest (in the knowledge domain) on the effect of choice.
Review on suitable eDRAM configurations for next nano-metric electronics era

We summarize most of our studies focused on the main reliability issues that can threat the gain-cells eDRAM behavior when it is simulated at the nano-metric device range has been collected in this review. So, to outperform their memory cell counterparts, we explored different technological proposals and operational regimes where it can be located. The best memory cell performance is observed for the 3T1D-eDRAM cell when it is based on FinFET devices. Both device variability and SEU appear as key reliability issues for memory cells at sub-22nm technology node.
Corporate Social Responsibility and the Board of Directors

What is the relationship between social responsibility and corporate governance? To shed light on this issue, I examine whether and how positive and negative social responsibility events relate to characteristics of a rm’s board of directors. In doing so, I rely on a panel data set of 2417 publicly listed US rms between 1999 and 2007 for which I observe the occurrence of social responsibility events and director characteristics. When boards include a higher fraction of inside and experienced directors, negative events are less frequent. In line with experimental evidence that women are more concerned with altruism, I also document that rms with a higher fraction of women on the board show more pro-social behavior. Finally, when more directors have no equity ownership, positive events are less frequent.
The effectiveness of the keyword method on foreign language vocabulary for students with learning disabilities

v List of Figures . viii List of Tables . ix Chapter 1: Introduction . 1 Statement of Problem . 2 Significance of the Study . 3 Purpose of the Study . 4 Research Questions . 4 Key Word . 4 Chapter 2: Review of the Literature . 5 Dual Coding Theory . 6 Usage of the Keyword Method With Native Language Instruction . 7 Usage of the Keyword Method With Foreign Language Instruction . 9 Receptive Language . 10 Productive Language . 13 Conclusion . 14 Chapter 3: Methodology . 15 Setting . 15 School . 15 Classroom . 15 Participants . 15 Participant 1 . 16 vii Table of
Customer Satisfaction, Perceived Service Quality and Mediating Role of Perceived Value

The main objective of this study is to first find out perceived service quality using SERVQUAL and then the role of perceived value as a mediating variable in the service sector of Pakistan. Both descriptive and inferential statistical techniques are used to analyze the effects of independent variables (i.e. perceived service quality) on customer satisfaction (dependent variable) and the role of mediating variable (i.e. perceived value). Stepwise regression analysis is used to examine the effect of the mediating variable (i.e. perceived value) on customer satisfaction. Perceived value was found strongly correlated with satisfaction. Results suggested that perceived value is an important factor in customers’ evaluation of satisfaction. Unlike other studies, I use an aggregate score for perceived service quality instead of service quality characteristics.
MODEL PROBLEM BASED LEARNING (PBL) DALAM MELATIH SCIENTIFIC REASONING SISWA

Scientific reasoning merupakan salah satu hasil belajar yang seharusnya dilatihkan kepada siswa karena penalaran ilmiah yang tinggi akan mempengaruhi siswa dalam membuat keputusan dan menyelesaikan masalah. Dibutuhkan keseriusan dalam melatihkan keterampilan scientific reasoning. Sehingga guru harus memilih pedekatan pembelajaran yang sesuai. Artikel ini mendiskusiskan tentang model problem based learning yang merupakan model pembelajaran berbasis inkuiri, dimana pembelajarannya dimulai dengan memberikan masalah. Pembahasan kedua, diperkenalkan pola-pola penalaran ilmiah yang bisa dilatihkan pada siswa baik yang berada pada tahap opersional konkrit maupun formal. Pada akhir pembahasan, akan diuraikan bagaimana model PBL mampu memfasilitasi siswa dalam mengembangkan penalaran ilmiah.Kata Kunci: Problem Based Learning and Scientific Reasoning
The use & consequences of performance management & control systems : a study of a professional services firm

It has long been recognized that Performance Management and Control Systems (PMCSs) impact positively on organizational efficiency and effectiveness by affecting the behaviour of organizational participants. However, PMCSs also create tensions between achieving shortterm and long-term objectives which often times lead to unintended negative consequences. These effects of PMCSs are much more attributed to their design than the way they are used. This coupled with the undesirable PMCSs' effects has led to several innovations that propose complementing, and some proposing total replacement of, the traditional PMCS with a wider range of non-financial or operational measures. This study investigates the way a PMCS, encompassing both financial and non-financial measures, is used and the effect on work behaviour and performance. It examines the possible influence of hierarchical levels on the nature of measures employed in the PMCS, the way it is used, as well as the effects of the PMCS. It also investigates other factors that affect the consequences of PMCS use, and the mechanisms by which these effects are transmitted. Furthermore, it seeks to shed light on the complexity of the way PMCSs impact on work behaviour and performance by examining the interplay of the factors that affect PMCSs' effects and the mechanisms by which these effects are transmitted. The results of the study show that PMCSs do have some positive effects on performance, but also have albeit unintended positive effects on dysfunctional behaviour. It also shows that hierarchical levels influence the nature of measures employed in PMCSs, the manner in which they are used, as well as PMCSs' effect on work effort. More financial measures tend to be employed at higher hierarchical levels, while PMCSs tend to be used in more target-focused manner at lower levels of the organisation. However, the effects of PMCSs do not vary at different levels of the organisation except for the effect on work effort. Nonetheless, it was also found that the way that a PMCS is used impacts work behaviour and performance much more it seems than its design in terms of the type or nature of PMCS measures. Furthermore, the level of goal difficulty, interactive use of control systems, and supervisory trust were found to affect the impact of PMCSs use on behaviour and performance. In addition, the findings reveal goal commitment to be an important mechanism that mediates the effects of PMCSs use. Also, the perception of equity and fairness was found to be another mediator of PMCS effects. Finally, the study reveals that the interplay of interactive use of control systems and perceptions of equity and fairness significantly influence PMCSs' effects on dysfunctional behaviour; while the interplay between goal difficulty and goal commitment significantly influence PMCSs' effects on performance.
The Syntax in Pantomimic Re-enactments of Events Among Polish Participants

What appears to be a key question in recent studies on language evolution is the notion of natural word order – a hypothesis propounding word order to be innate in a phylogenetic and cognitive sense (Dryer, 2005; Pagel, 2009; Gell-Mann & Ruhlen, 2011). Gesture and sign studies provide a sound base for the topic. The primary idea for the study comes from Goldin-Meadow et al. (2008) research, which proposed the silent gesture paradigm, in which participants communicate simple events with the aid of their hands. The result of their research suggests that when participants communicate via gestures, notwithstanding their native language, they apply the SOV (subject – object – verb) word order – a finding which has been largely substantiated, but also discussed by following studies (e.g., Gibson et al., 2013; Hall et al., 2013). The purpose of our study was to verify whether the SOV order is prevalent in the experimental environment when participants are instructed to use whole-bodily pantomime rather than hand-and-arm gesture only. The actors in the study were instructed to perform reversible events from the pictures. Reversible events means that both the actor and the patient can perform an action. There exists an exciting opportunity for our study to shed a new light on research into natural word order.
Guided literacy instruction: Helping students read multimodal English-medium texts

This article reports a phenomenological study investigating the implementation of guided literacy instruction, geared to L2 students in reading multiple texts as the fabric of today’s literacy practice. Guided literacy instruction in this study aimed to promote the role of a student reader as a designer, navigator, interrogator, and interpreter in reading multimodal English-medium texts. Interviews, observations, and think-aloud protocols were used to collect data. Two L2 students volunteered to take part in this multimodal text-based reading project. Findings showed that the students experienced different reading activities resulting from the absence and presence of guided literacy instruction. The students’ experiences differed in the ways the students maximized the use of webpage text features, navigated texts across hyperlinks, and interpreted multiple modes of texts during a meaning making process. The empirical implication of this study is that future research is needed to investigate factors influencing the implementation of guided literacy instruction in reading multimodal English-medium texts. Pedagogically, multimodal text can be a meaningful learning resource that students can use to learn a range of knowledge and language resources beyond the classroom zone.
Job losses, outsourcing and relocation: empirical evidence using microdata

Using microdata, we analyse the determinants of firm relocation and conventional outsourcing decisions as a way to reduce employment. The results for a sample of 32 countries show the relevance of factors not considered previously in the literature. Firms that are below average in quality or innovation have a higher propensity to externalise part of their production through outsourcing, while lower relative profitability and longer time to market for new products each imply a higher probability of relocation.