Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological well-being of individuals after divorce: the role of social support

background Divorce is a transition period in which divorcing individuals face restructuring of the family system and adjustment to changes. The psychological well-being of divorcees can serve as an important indicator of the adjustment process. The achievement of well-being does not come easily for many reasons, one of which is the experience related to a sense of loss associated with the marriage break-up. Social support is a major relational resource for overcoming the crisis and successfully adjusting to post-divorce life.
A Four-Stage Mesochronous Synchronizer with BackPressure and Buffering for Short and Long Range Communications

A four-stage mesochronous synchronizer is described. It enables low latency and full throughput crossing of boundaries of same frequency, different phase clock domains. Full back pressure is supported, where the receiver can start and stop accepting words without any data loss. Variable depth buffering is provided, supporting a wide range of short and long range communications and accommodating multi-cycle wire delays. Burst data can also be accommodated thanks to buffering. Dynamic phase shifting due to varying voltage and temperature are mitigated by increasing the separation between write and read pointers. Unlike common synchronizers, this circuit is exposed to metastability risk only during reset. The synchronizer provides lower latency and higher reliability than typical two-clock FIFO and other asynchronous and mesochronous synchronizers. It is suitable for implementation using standard cell design and does not require any delay lines, tuning of clock trees and other full custom circuits. It is shown that a minimum of four buffer stages are required, in contrast with previous proposals for three stages.
A SUMO based evaluation of road incidents' impact on traffic congestion level in smart cities

Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.
Maintaining Anti-Monotone Property for Generator with Weight and Its Mining Method

Generator is a concise representation for frequent itemset. And it has the anti-monotone property as the frequent itemset does, which is an important property in real applications. But when itemsets are attached with weights to balance importances between themselves, the anti-monotone property of generator may not hold. Additionally generator with weight may become tough to be dealt with in many circumstances. In this paper, we adapt support weight calculation to generator definition under weight support framework through specific techniques. The anti-monotone property of generator with weight can be kept to facilitate mining works. A new method for mining generators with weights is proposed. It exploits depth-first mining strategy and prunes search space with little cost. Experimental results show that the proposed method runs properly and achieves good performance.
Investigation on the IP Flow Inter-Arrival Time in Large-Scale Network

This paper analyzes the IP flow inter-arrival time distribution and the inter-arrival time autocorrelations of the traces collected in different large-scale networks. It is found that the IP flow inter-arrival time distribution follows the Weibull distribution which has the parameter alpha close to 1.0 as the scale of network becomes larger, so the Weibull distribution degrades to the exponential distribution. It is also discovered that the autocorrelation decreases as the IP flows' length increases. According to the studies above, this paper deduces the conclusion as following: The IP flow inter-arrival time distribution fits to the Weibull distribution generally, when the IP flow length exceed a certain threshold, the IP flow inter-arrival time fits to the Poisson distribution.
HPC Cluster Monitoring System Architecture Design and Implement

High performance computing (HPC) facilities such as HPC clusters, as building blocks of Grid computing, are playing an important role in computational Grid. HPC monitoring in HPC cluster systems presents an important challenge because HPC cluster environments are volatile, heterogeneous, not reliable and are managed by different middleware and systems. In this paper, we propose an HPC cluster monitoring system with four tier structure for Grid computing and utility computing clusters. It provides the basic function such as job monitoring, and system monitoring, etc. With our prototype, the Grid users are able to find the available cluster nodes, and customize their preferred HPC cluster nodes for their computation intensive applications in Grid computing or utility computing. Experiments show that our work provide great convenience and flexibility for users to make good use of HPC cluster.
BPR: Evaluation of Existing Methodologies and Limitations

Many of known organizations had their business processes changed and reengineered in order to achieve their objectives, meet their customer's expectations and attain competitive advantage. Thus, they were willing to adopt the concept of BPR at any cost no matter if they really need a radical change in their process. Unfortunately, it has been estimated that more than 70 % of BPR implementations have failed to achieve the expected result. Due to this risk, enterprises become more cautious to implement BPR projects in large scale. This paper discusses and the design of recent BPR methodologies identified in the literature, aiming to underline their limitations. It also presents the success and failure factors that affect BPR projects.
Cascaded controller algorithm design for a brushless DC motor with Matlab/Simulink and MCU implementation

Brushless direct current motor(BLDC) technology has been widely used in many different control applications in the fields from industry to defense industry. BLDC motors are usually preferred in applications which have strict size constraints, because of their high power to volume ratio. As a result, BLDC modeling/simulation and controller design efforts are needed. In this paper, modeling and simulation works are carried out in MATLAB/Simulink environment for a BLDC motor and a designed cascaded position, velocity, current control algorithm is presented. Designed control algorithm is converted to C code using MATLAB/Target Language Compiler which can be compiled using standard MCU compilers. This compiled code is embedded on to a dsPIC MCU, then simulation and test results are compared and presented.
Security in Storage Management: The Standards Question

The IEEE Computer Society announced the approval of the world¿s first Storage System Standards were approved on June 21st, 2000 [1], for the IEEE Media Management System (MMS) describing its architecture, data model, core media management protocol, and drive management and library management protocols. Four standards were approved, 1244.1 [2], 1244.3 [3], 1244.4 [4], and 1244.5 [5]. Notable by its absence in this announcement was the standard IEEE 1244.2, the "Session Security, Authentication, Initialization Protocol" (SSAIP) [6].
Efficiency improvement in modular DC/DC converters using unequal current sharing

The paper presents a novel approach to efficiency optimization applied to modular DC/DC converters. It consists of using several identical converters in parallel, turning on just as many of them as needed and operating them with maximum efficiency, while leaving only one of them working in a suboptimal operating point. The conditions for switching on or off a converter are also investigated to obtain maximum overall efficiency. Notable improvement can be obtained in the entire load region, especially at light load.
O R I G I N a L a R T I C L E Open Access

Immediate versus delayed integrated point-of-care-ultrasonography to manage acute dyspnea in the emergency department Abstract Background: Dyspnea is one of the most frequent complaints in the Emergency Department. Thoracic ultrasound should help to differentiate cardiogenic from non-cardiogenic causes of dyspnea. We evaluated whether the diagnostic accuracy can be improved by adding a point-of-care-ultrasonography (POC-US) to routine exams and if an early use of this technique produces any advantage.
Barreras de aprendizaje para estudiantes con discapacidad en una universidad chilena. Demandas estudiantiles y desafíos institucionales

El presente articulo expone los resultados de una investigacion sobre estudiantes con discapacidad de una universidad chilena. El objetivo del estudio es determinar las barreras para el aprendizaje y la participacion que enfrentan estos estudiantes y, de esta manera, determinar los apoyos educativos requeridos para que estos puedan realizar sus estudios de manera equitativa en relacion con la poblacion estudiantil universitaria. En el plano metodologico, la investigacion fue definida como descriptiva y transversal y la principal tecnica de recoleccion de datos fue el cuestionario. Los resultados indican que las barreras de aprendizaje se desarrollan en torno a tres categorias: infraestructura, proceso de ensenanza-aprendizaje y gestion institucional. Los estudiantes segun su situacion de discapacidad presentan demandas diferenciadas, por lo que este factor se constituye en un aspecto central para examinar los apoyos educativos solicitados. A partir de los resultados, se analizan los desafios y se proponen estrategias con el objeto de mejorar las politicas de accesibilidad a la universidad
An Evaluation of Brief Cognitive Tests for the Identification of Mild Cognitive Impairment

Mild cognitive impairment (MCI), a term used to describe the transitional state between normal aging and established dementia, has been identified as a potentially effective time point at which to target interventions to prevent or slow the decline into dementia. An efficient way of identifying people with MCI is required as a first step in conducting large scale studies to develop and evaluate interventions targeted at this high risk population. The aim of the thesis was to investigate the effectiveness of a range of brief cognitive tests to be used for the purpose of identifying people with MCI in an efficient and accurate manner. A systematic review of the literature found that over 40 brief cognitive tests have been developed and tested to identify amnestic MCI (aMCI). However, the majority of these previous studies were conducted in secondary care settings and were at high risk of unblinding the assessment process, which may have exaggerated the diagnostic accuracy of the assessed tests. The Memory Alteration Test (M@T) and Test Your Memory test (TYM) were selected as potentially useful brief cognitive tests for aMCI and their validity was assessed within a cohort of older people recruited from the community, without prior knowledge of their cognitive status. A total of 472 older people were assessed for MCI according to the Petersen criteria using a standardised battery of neuropsychological tests. A prevalence of MCI of 16.5% was found within the assessed cohort and the M@T was found to be more accurate than the TYM at detecting aMCI, performing with a sensitivity of 85% and specificity of 84%. The ability of reaction time task derived measures to identify cognitive impairment within the cohort was also assessed. These were not as accurate at predicting cognitive status as the M@T. However, they did demonstrate some promising discriminative abilities and should be further explored as potentially useful alternatives to the traditionally used memory tests, which may be influenced by administrator bias, education level and language ability.
Recovery, Redemption, and Extreme Programming

The author retells a downtrodden project's attempt to rejuvenate itself by doing extreme programming, discussing successes, shortcomings, and, ultimately, lessons learned. In particular, the author credits the team's composition for its ultimate success. Although XP wasn't the team's immediate salvation, it made the application sustainable past the project's deadline.
Predicting bad utility consumers in Malaysia

In many organizations, especially in most utility companies including Company X, revenue collection is a major issue when customers face difficulties in paying their utility bills before the deadline. There are many reasons for this problem but it becomes a serious financial issue for the organizations when the cumulative amount of bad debts reached a staggering figure. This paper reports a study of this issue for Company X involving its customers based in Bangi and Kajang, totaling upto 1,525 customers. The study is conducted to identify the factors of customers who would default payment of their bills. The identification of such factors is important to enable Company X to identify these customers and implement the necessary measures to mitigate the problem. The CRISP-DM (Cross-Industry Standard Process for data mining) model was employed in conducting the study. The results provide an intial understanding of the issue and the solution model generated could be used to resolve the issue for other areas in Malaysia.
Finite element developments for general fluid flows with structural interactions

The objective in this paper is to present some developments for the analysis of Navier–Stokes incompressible and compressible fluid flows with structural interactions. The incompressible fluid is discretized with a new solution approach, a flow‐condition‐based interpolation finite element scheme. The high‐speed compressible fluids are solved using standard finite volume methods. The fluids are fully coupled to general structures that can undergo highly non‐linear response due to large deformations, inelasticity, contact and temperature. Particular focus is given on the scheme used to couple the fluid media with the structures. The fluids can also be modelled as low‐speed compressible or slightly compressible media, which are important models in engineering practice. Some solutions obtained using ADINA are presented to indicate the analyses that can be performed. Copyright © 2004 John Wiley & Sons, Ltd.
Teen Depression Groups on Facebook: A Content Analysis

Major depressive disorder (MDD) is one of the most frequently diagnosed disorders in early adolescence and can lead to a multitude of negative life outcomes, highlighting the need for early and effective intervention to mitigate depressive symptoms. Recognizing the preference of youth to seek informal sources of help for mental health issues, which may include the Internet, the social networking site Facebook was investigated as a potential source of support and help for youth suffering depressive symptoms or disorder. This study examined the content of online Facebook support groups targeting adolescents with depression. A total of 508 posts from six Facebook groups were analyzed. The majority of post content on these Facebook groups consisted of self-disclosure (32.48%), feedback between posters (24.80%), and offers and recommendations of help (24.61%). Posters seem to utilize adolescent Facebook depression groups mainly to connect with those who might share a similar experience and to share information about mental health resources. Future studies should investigate the potential to use the information exchange that occurs in these groups to promote traffic to online and offline evidence-based mental health resources.
Memory impairment is not sufficient for choice blindness to occur

Choice blindness refers to the phenomenon that people can be easily misled about the choices they made in the recent past. The aim of this study was to explore the cognitive mechanisms underlying choice blindness. Specifically, we tested whether memory impairment may account for choice blindness. A total of N = 88 participants provided sympathy ratings on 10-point scales for 20 female faces. Subsequently, participants motivated some of their ratings. However, on three trials, they were presented with sympathy ratings that deviated from their original ratings by three full scale points. On nearly 41% of the trials, participants failed to detect (i.e., were blind) the manipulation. After a short interval, participants were informed that some trials had been manipulated and were asked to recall their original ratings. Participants adopted the manipulated outcome in only 3% of the trials. Furthermore, the extent to which the original ratings were accurately remembered was not higher for detected as compared with non-detected trials. From a theoretical point of view our findings indicate that memory impairment does not fully account for blindness phenomena.
Particle filter map matching and trajectory prediction using a spline based intersection model

For Advanced Driver Assistance Systems and Autonomous Driving it is of major advantage to know future trajectories of traffic participants. These are influenced by many factors in the environment. One important factor is the geometry of the intersection a vehicle is approaching. In this paper we describe how we can extract a spline based intersection model from low detail map data like Open-StreetMap that can be adjusted over time. A particle filter based map matching algorithm is used to localize the ego vehicle relative to the intersection model. Additionally, objects detected from the ego vehicle's sensors are matched onto the intersection model in order to predict the future trajectories of the ego vehicle and other traffic participants using the intersection model.
3D piecewise planar object model for robotics manipulation

Man-made environments are abundant with planar surfaces which have attractive properties for robotics manipulation tasks and are a prerequisite for a variety of vision tasks. This work presents automatic on-line 3D object model acquisition assuming a robot to manipulate the object. Objects are represented with piecewise planar surfaces in a spatio-temporal graph. Planes once detected as homographies are tracked and serve as priors in subsequent images. After reconstruction of the planes the 3D motion is analyzed and initial object hypotheses are created. In case planes start moving independently a split event is triggered, the spatio-temporal object graph is traced back and visible planes as well as occluded planes are assigned to the most probable split object. The novelty of this framework is to formalize Multi-body Structure-and-Motion (MSaM), that is, to segment interest point tracks into different rigid objects and compute the multiple-view geometry of each object, with Minimal Description Length (MDL) based on model selection of planes in an incremental manner. Thus, object models are built from planes, which directly can be used for robotic manipulation.
The realistic versus the spherical head model in EEG dipole source analysis in the presence of noise

The performance of the three-shell spherical head model versus the performance of the realistic head model is investigated when solving the inverse problem with a single dipole, in the presence of noise. This is evaluated by inspecting the average dipole location error when applying a spherical and a realistic head model, for 1000 noisy scalp potentials, originating from the same test dipole and having the same noise level. The location errors are obtained utilizing a local linearization, which is validated with a Monte Carlo simulation. For 27 electrodes, an EEG epoch of one time sample and spatially white Gaussian noise we found that the importance of the realistic head model over the spherical head model reduces by increasing the noise level.
Experiment Design and First Season Observations with the Degree Angular Scale Interferometer

We describe the instrumentation, experiment design, and data reduction for the first season of observations with the Degree Angular Scale Interferometer (DASI), a compact microwave interferometer designed to measure anisotropy of the cosmic microwave background (CMB) on degree and subdegree scales (l ≃ 100-900). The telescope was deployed at the Amundsen-Scott South Pole Research Station during the 1999-2000 austral summer, and we conducted observations of the CMB throughout the following austral winter. In its first season of observations, DASI has mapped CMB fluctuations in 32 fields, each 3. °4 across, with high sensitivity.
Out-of-plane momentum and symmetry-dependent energy gap of the pnictide Ba0.6K0.4Fe2As2 superconductor revealed by angle-resolved photoemission spectroscopy.

The three-dimensional band structure and superconducting gap of Ba0.6K0. 4Fe2As2 are studied with angle-resolved photoemission spectroscopy. In contrast with previous results, we have identified three holelike Fermi surface sheets near the zone center with sizable out-of-plane or kz dispersion. The superconducting gap on certain Fermi surface sheets shows significant kz dependence. Moreover, the superconducting gap sizes are different at the same Fermi momentum for two bands with different spatial symmetries (one odd, one even). Our results further reveal the three-dimensional and orbital-dependent structure of the superconducting gap in iron pnictides, which facilitates the understanding of momentum-integrated measurements and provides a distinct test for theories.
Linking the Information Technology Structure with Organizational Competitive Strategy: A Survey

In a study involving 52 large organizations in the computer components industry, the relationship between information technology structure and organizational competitive strategy was examined. The results indicate that the information technology structure, as measured by the locus of responsibilities for information systems, is strongly related to competitive strategy. For example, an organization with a conservative competitive strategy possesses a more centralized information systems function than an organization with an aggressive competitive strategy. This means that user departments in a conservative organization have less control over their information technology function than user departments in a aggressive organization. These findings provide additional support for the organizational fit concept - that the conformity between information technology structure and overall organizational context variables, including competitive strategy, is instrumental to the successful implementation of information technology systems.
Image semantic recognition scheme with semantic-binding hierarchical visual vocabulary model

With the research of interest point detecting and local feature extracting, local feature has been proved to be an effective feature in image/video analysis. And the BOVW (bag of visual words) model aims to cluster local features and generates the visual vocabulary in order to recognize the image semantic. However, the traditional BOVW model has two major drawbacks: 1) semantic loss; 2) no efficient structure of vocabulary to recognize multi-level semantic. In this paper, a semantic-binding hierarchical model is proposed and then the hierarchical visual vocabulary is introduced based on the novel semantic-binding hierarchical model. We propose a scheme where the visual vocabulary is constructed and apply it in multimedia content semantic analysis. The experiment results show that our scheme is effective and efficient compared with some related works on the dataset of Labelme project from MIT.