Miracle-dz/UniFAR-FTUs huggingface dataset:
AIS Electronic

This research-in-progress paper proposes the use of a statistical approach named Partial Least squares (PLS) to define the relationships between Critical Success Factors (CSFs) for ERP implementation projects. Some researchers have noted that there are relationships between these CSFs. However, no one has yet tried to define in a formal way these relationships. In this paper we present an overview of the PLS approach and provide an application example of the PLS method where we use two CSFs: those related to project sponsor role and project manager role. However, our research is being extended to all of the CSFs within our own CSFs unified model.
Driver/Vehicle Response Diagnostic System for the Vehicle-Following Case

It is well known that not all drivers drive the same and that the same driver has different driving characteristics with different vehicles. Identifying the characteristics that are unique to each driver/vehicle response opens the way for more personalized and accurate driver assistance systems. In this paper, we consider the problem of identifying the driver/vehicle characteristics by processing real-time driving response data. We propose the use of a Gaussian mixture model combined with the knowledge of dynamic characteristics modeled as probability distributions together with additional logic and appropriate thresholds in order to implement a real-time driver/vehicle response diagnostics system. We focus our efforts on the vehicle-following part of driving. The system is tested on a customized vehicle using different drivers under different driving conditions. We demonstrated that the system can distinguish between different drivers and can classify driver aggressiveness during vehicle following.
Calm Abiding

Various aspects of meditation have been studied for more than 50 years, but little research has explored the lived experience of meditation in long-term meditators and examined what meaning this practice holds for the meditators. This interpretative phenomenological study examined the lived experience of the practice of meditation in the lives of six women who have practiced meditation daily for more than 10 years. This study addressed the questions of how the long-term practice of meditation is experienced and adhered to, how long-term meditators are motivated, what benefits practitioners receive, and what meaning they attribute to their practice. Data were gathered using telephone interviews and analyzed using the interpretative phenomenological process. Eight superordinate themes arose including (a) consistent and mindful adherence to ritual and technique; (b) role of a teacher/mentor; (c) cultivation of self-awareness; (d) increased equanimity, compassion, and acceptance of self and others; (e) transcendent, peak experiences; (f) cultivation and deepening of personal spirituality; (g) life purpose and meaning; and (h) challenges and barriers to meditation. This study provides descriptions of the challenges and benefits of maintaining a long-term meditation practice. It points toward the potential of regular, long-term meditation to serve as a complementary healing modality.
SDN Security Plane: An Architecture for Resilient Security Services

Software Defined Networking (SDN) is the new promise towards an easily configured and remotely controlled network. Based on Centralized control, SDN technology has proved its positive impact on the world of network communications from different aspects. Security in SDN, as in traditional networks, is an essential feature that every communication system should possess. In this paper, we propose an SDN security design approach, which strikes a good balance between network performance and security features. We show how such an approach can be used to prevent DDoS attacks targeting either the controller or the different hosts in the network, and how to trace back the source of the attack. The solution lies in introducing a third plane, the security plane, in addition to the data plane, which is responsible for forwarding data packets between SDN switches, and parallel to the control plane, which is responsible for rule and data exchange between the switches and the SDN controller. The security plane is designed to exchange security-related data between a third party agent on the switch and a third party software module alongside the controller. Our evaluation shows the capability of the proposed system to enforce different levels of real-time user-defined security with low overhead and minimal configuration.
A direct manipulation user interface for the control of communication processes - making call handling manageable

PCor screen-based telephony applications should offer a new quality of usability to their users due to new interaction possibilities which are unavailable for the design for standard telephone interfaces. Most telephony applications on PCs are, however, not easier to use or to understand than conventional telephones. We argue that this is due to the fact that designers use these alternative interaction technologies only in a very rudimentary fashion. Making use of direct manipulation techniques seems to be a far more promising approach over modelling a telephone and its behaviour on a PC. Adding functionality in an aesthetically pleasing way cannot be achieved by straightforward use of the standard telephone metaphor. With the advent of a multitude of devices integrating information and communication technology, the support of communication functionality with screen-based devices becomes more and more important [1]. Scalable user interfaces that are applicable on a large variety of these devices, from the PC to small handheld personal digital assistants, make communication transparent to the users of these devices. Instead of having to learn the basics of telecommunication over and over for each device the users can transfer their knowledge between these devices. We developed a user interface for screen-based telephony applications (the Communication Circle) which combines the advantages of direct manipulation with an intuitive metaphor for setting up and controlling synchronous communication processes. In the Communication Circle environment, tasks like call swapping, transfer, or the control of conference calls can be done in an almost self-explanatory manner. This report describes the basic concepts of our approach and the state of the development, and discusses results of usability studies and future developments of the system. The Basic Communication Concept of the Communication Circle The rationale of the Communication Circle user interface is based on a concept that focuses on the communication between interlocutors. This should enable the user to use different modes of communications (e.g. to accept a waiting call, to swap between calls, or to set up a conference) without having to understand the underlying technology. The central element of the user interface is the so-called Communication Circle which visualizes all communication partners of a synchronous communication process. Additionally, the state of different connections (Call on hold, conference, .) is represented inside this circle. The symbolism of a circle seems particularly well suited
Philippine Marine Fisheries 101

Fish being an important part of the Filipino protein intake makes fisheries equally an important activity of more than one million Filipinos living in coastal areas. The management of fisheries in the Philippines is, however, beset with chronic challenges, which is exacerbated by the rapidly declining environmental conditions of many of its coastal habitats. One major challenge is the lack of adequate catch data needed for the estimation of, e.g., catch per unit of effort and catch limits. We review some of the history leading to conditions and events that might have contributed to such challenges. We also identify a terminology for use in Philippine capture fisheries equivalent to that used in other parts of the world, and which will be used throughout this report.
Scale-invariant truncated Lévy process

We develop a scale-invariant truncated Levy (STL) process to describe physical systems characterized by correlated stochastic variables. The STL process exhibits Levy stability for the distribution, and hence shows scaling properties as commonly observed in empirical data; it has the advantage that all moments are finite and so accounts for the empirical scaling of the moments. To test the potential utility of the STL process, we analyze financial data.
Measuring Software Timing Errors in the Presentation of Visual Stimuli in Cognitive Neuroscience Experiments

Because of the features provided by an abundance of specialized experimental software packages, personal computers have become prominent and powerful tools in cognitive research. Most of these programs have mechanisms to control the precision and accuracy with which visual stimuli are presented as well as the response times. However, external factors, often related to the technology used to display the visual information, can have a noticeable impact on the actual performance and may be easily overlooked by researchers. The aim of this study is to measure the precision and accuracy of the timing mechanisms of some of the most popular software packages used in a typical laboratory scenario in order to assess whether presentation times configured by researchers do not differ from measured times more than what is expected due to the hardware limitations. Despite the apparent precision and accuracy of the results, important issues related to timing setups in the presentation of visual stimuli were found, and they should be taken into account by researchers in their experiments.
Automatic spike detection based on real-time multi-channel template

Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activities. We have developed an algorithm based on identify non-spike activities for off-line analysis. In this paper, we improved the algorithm for online application using real-time template. Template method is a typical spike detection method. It was not widely employed because of the difficulty of making template. Our results suggested that multi-channel template is meaningful and effective for real-time detection. Spike activities can be detected with a delay of about 2 s. We also designed an simple user-friendly monitor interface for monitor and review spike events in real-time.
An Improvement of Requirement-Based Compliance Checking Algorithm in Service Workflows

This paper presents an improvement of requirement- oriented compliance checking algorithm to support trust-based decision making in service workflow environments. The proposed algorithm is based on our previous progressive works on (1) Service Workflow Specification language (SWSpec) serving as a formal and uniformed representation of requirements, and (2) the algorithm based on Constrained Truth Table (CTT), specifically developed for compliance checking for the Composite class of SWSpec. However, CTT algorithm practically suffers from high complexitywhich is
In vivo lumbo-sacral forces and moments during constant speed running at different stride lengths

Abstract The aim of this study was to introduce a Newton–Euler inverse dynamics model that included reaction force and moment estimation at the lumbo-sacral (L5-S1) and thoraco-lumbar (T12-L1) joints. Data were collected while participants ran over ground at 3.8 m · s−1 at three different stride lengths: preferred stride length, 20% greater than preferred, and 20% less than preferred. Inputs to the model were ground reaction forces, bilateral lower extremity and pelvis kinematics and inertial parameters, kinematics of the lumbar spine and thorax and inertial parameters of the lumbar segment. Repeated measures ANOVA were performed on the lower extremity sagittal kinematics and kinetics, including L5-S1 and T12-L1 three-dimensional joint angles, reaction forces and moments at touchdown and peak values during impact phase across the three stride conditions. Results indicated that L5-S1 and T12-L1 vertical reaction forces at touchdown and during the impact portion of the support phase increased significantly as stride length increased (P < 0.001), as did peak sagittal L5-S1 moments during impact (P = 0.018). Additionally, the transverse T12-L1 joint moment increased as running speed increased (P = 0.006). We concluded from our findings that our model was sensitive to our perturbations in healthy runners, and may prove useful in future mechanistic studies of L5-S1 mechanics.
Nuclear import of RNA polymerase II is coupled with nucleocytoplasmic shuttling of the RNA polymerase II-associated protein 2

The RNA polymerase II (RNAP II)-associated protein (RPAP) 2 has been discovered through its association with various subunits of RNAP II in affinity purification coupled with mass spectrometry experiments. Here, we show that RPAP2 is a mainly cytoplasmic protein that shuttles between the cytoplasm and the nucleus. RPAP2 shuttling is tightly coupled with nuclear import of RNAP II, as RPAP2 silencing provokes abnormal accumulation of RNAP II in the cytoplasmic space. Most notably, RPAP4/GPN1 silencing provokes the retention of RPAP2 in the nucleus. Our results support a model in which RPAP2 enters the nucleus in association with RNAP II and returns to the cytoplasm in association with the GTPase GPN1/RPAP4. Although binding of RNAP II to RPAP2 is mediated by an N-terminal domain (amino acids 1–170) that contains a nuclear retention domain, and binding of RPAP4/GPN1 to RPAP2 occurs through a C-terminal domain (amino acids 156–612) that has a dominant cytoplasmic localization domain. In conjunction with previously published data, our results have important implications, as they indicate that RPAP2 controls gene expression by two distinct mechanisms, one that targets RNAP II activity during transcription and the other that controls availability of RNAP II in the nucleus.
The tumor suppressor miR-138-5p targets PD-L1 in colorectal cancer

microRNAs (miRNAs) play critical roles in cancer development and progression. This study investigated the effects of miR-138-5p in human colorectal cancer (CRC) development. miR-138-5p was frequently downregulated in CRC tissues and was associated with advanced clinical stage, lymph node metastasis and poor overall survival. We found that miR-138-5p decreased expression of programmed cell death ligand 1 (PD-L1) through interaction with its PD-L1 3′ untranslated region. miR-138-5p also dramatically suppressed CRC cell growth in vitro and inhibited tumorigenesis in vivo. PD-L1 and miR-138-5p levels were inversely correlated in human CRC tumors, and miR-138-5p inhibited PD-L1 expression in tumor models. These results suggest that miR-138-5p is a tumor suppressor in CRC, and its effects are exerted at least partially through PD-L1 downregulation. Low miR-138-5p and high PD-L1 levels correlated with shorter overall CRC patient survival, indicating that miR-138-5p and PD-L1 may serve as CRC biomarkers for risk group assignment, optimal therapy selection and clinical outcome prediction. Targeting PD-L1, possibly by administering miR-138-5p mimics, might be a clinically effective anti-CRC therapeutic strategy.
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)

Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings. The ability to answer questions such as "Does this user care more about the plot or about the special effects? " or "What is the quality of the movie in terms of acting? " helps us to understand why certain ratings are generated. This can be used to provide more meaningful recommendations. In this work we propose a probabilistic model based on collaborative filtering and topic modeling. It allows us to capture the interest distribution of users and the content distribution for movies; it provides a link between interest and relevance on a per-aspect basis and it allows us to differentiate between positive and negative sentiments on a per-aspect basis. Unlike prior work our approach is entirely unsupervised and does not require knowledge of the aspect specific ratings or genres for inference. We evaluate our model on a live copy crawled from IMDb. Our model offers superior performance by joint modeling. Moreover, we are able to address the cold start problem -- by utilizing the information inherent in reviews our model demonstrates improvement for new users and movies.
The Information Manifold Approach to Data Integration

A data-integration system provides a uniform interface to a multitude of data sources. Consider a data-integration system providing information about movies from data sources on the World Wide Web. There are numerous sources on the Web concerning movies, such as the Internet Movie Database (which provides comprehensive listings of movies, their casts, directors, genres, and so forth), MovieLink (listing playing times of movies in US cities), and several sites that provide textual reviews for selected movies. Suppose we want to find which Woody Allen movies are playing tonight in Seattle and see their respective reviews. None of these data sources in isolation can answer this query. However, by combining data from multiple sources, we can answer queries like this one, and even more complex ones. To answer our query, we would first query the Internet Movie Database to obtain the list of movies directed by Woody Allen, and then feed the result into the MovieLink database to check which ones are playing in Seattle. Finally, we would find reviews for the relevant movies using any of the movie review sites. Most importantly, a data-integration system lets users focus on specifying what they want, rather than thinking about how to obtain the answers. As a result, it frees them from the tedious tasks of finding the relevant data sources, interacting with each source in isolation using a particular interface, and combining data from multiple sources. To understand the challenges involved in building data-integration systems, I will briefly compare the problems that arise in this context with those encountered in traditional database systems. In this discussion , I focus mainly on comparisons with relational database systems, but the differences also hold for systems based on other models, such as object-oriented and object-relational ones. Figure 1 illustrates the different stages in processing a query in a data-integration system. Data modeling. Traditional database systems and data-integration systems differ mainly in the process they use to organize data into an application. In a traditional system , the application designer examines the application's requirements, designs a database schema (such as a set of relation names and the attributes of each relation), and then implements the application, part of which involves actually populating the database (inserting tuples into the tables). In contrast, a data-integration application begins from a set of pre-existing data sources. These sources might be database systems, but more often are unconventional data sources, such …
Quality assessment of chromatic variations: A study of Full-Reference and No-Reference Metrics

This work describes a comparative study on the ability of Full-Reference versus No-Reference quality metrics to measure the Quality of Experience created by images that suffer chromatic variations. Considering this, some well known Full-Reference (PSNR, UQI, MSSIM) and No-Reference (GM, FTM, RTBM) will be compared with the MOS results. Although the quality metrics considered are usually applied to the luminance component, in this study they are applied to the Y, Cb, Cr components separately. The result of the three components average metrics was also considered, because only the image chromatic components have been changed resulting in similar values of luminance. The correlation estimates show that the Full-Reference Metrics namely the MSSIM and the UQI provide a good representation of the subjective results. Moreover, the studied No-Reference metrics also provide an acceptable representation, although their reliability is less effective.
A Three-dimensional Dynamical Model of Current Sheet Formation in a Coronal Loop

We develop a three-dimensional model for the time evolution of a slender coronal loop anchored in multiple isolated photospheric flux elements. As a result of the composite photospheric boundaries, the coronal field comprises multiple flux domains. The model shows that motion at the footpoints results in current singularities developing along separators between domains. Motion at one end of the loop creates a nonsingular Alfvénic pulse. Repeated reflections from the complex photospheric boundaries change the pulse's current into a surface singularity traveling along the separator ribbon. Final relaxation leads to an equilibrium that is current-free within all of the coronal domains and contains a separator current sheet. The relation of the equilibrium current to the footpoint displacements confirms previous quasi-static models of three-dimensional separator current sheets.
Assessing the predictive performance of machine learners in software defect prediction

We present a methodology for Bayesian analysis of software quality. We cast our research in the broader context of constructing a causal framework that can include process, product, and other diverse sources of information regarding fault introduction during the software development process. In this paper, we discuss the aspect of relating internal product metrics to external quality metrics. Specifically, we build a Bayesian network (BN) model to relate object-oriented software metrics to software fault content and fault proneness. Assuming that the relationship can be described as a generalized linear model, we derive parametric functional forms for the target node conditional distributions in the BN. These functional forms are shown to be able to represent linear, Poisson, and binomial logistic regression. The models are empirically evaluated using a public domain data set from a software subsystem. The results show that our approach produces statistically significant estimations and that our overall modeling method performs no worse than existing techniques.
Feature Logic With Weak Subsumption Constraints

In the general framework of a constraint-based grammar formalism often some sort of feature logic serves as the constraint language to describe linguistic objects. We investigate the extension of basic feature logic with subsumption (or matching) constraints, based on a weak notion of subsumption. This mechanism of one-way information flow is generally deemed to be necessary to give linguistically satisfactory descriptions of coordination phenomena in such formalisms. We show that the problem whether a set of constraints is satisfiable in this logic is decidable in polynomial time and give a solution algorithm.