Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Leadership in Promoting Knowledge Sharing Practice in Matriculation Program (Ministry of Education Malaysia)

Knowledge management is emerging as one the leading influences on an organization’s survival and competitive advantage. Knowledge management is concerned with the effective acquisition, sharing and utilization of knowledge. Corporate leaders are increasingly aware of the notion that an organization‘s longterm survival depends on its ability to generate new knowledge and continuously learn from the environment. In the knowledge management recent studies was found that the most crucial phase is a knowledge sharing process. There are two major factors in determining the effectiveness of knowledge sharing process that is psychological and social factor but this two factor has been identify was influence by the organization’s leader. The study is therefore aimed to examine perceive of subordinates (lecturers) on the characteristic of leader’s in promoting knowledge sharing practice in education institution as well as Matriculation Program. This information is gathered through mailed questionnaire on 214 lecturers in Matriculation Program throughout Malaysia. The finding indicates that intention to share knowledge shows significant differences based on experience and teaching option but not based on gender. The perceive of lecturers on leadership skills is more on leader’s interpersonal trust but share vision and be a role model are positively correlated with the intention to share knowledge. This may be a key component in leadership skill that will influence the process of knowledge sharing practice among lecturers especially in Matriculation Program and education institution in general. This research was recommended that leader which is director of college, should encourage and involve in any activities that regard to knowledge improvement, more conscious with the explosion of knowledge development especially tacit knowledge, continually develop interpersonal trust and practicing the share vision visibly.
Assessment of Effective Seasonal Downscaling of TRMM Precipitation Data in Peninsular Malaysia

Abstract: Precise spatio-temporal measurements of rainfall during seasonal monsoons are critical for accurate hydrologic an alyses in the tropical regions of Southeast Asia. The use of satellite precipitation data is technologically sound but requires downscaling to minimize inherent uncertainties. The uncertainties at a local climate regime that are essential to be resolved are rarely reported; consequently, such work needs attention. To address this problem, we validated the Tropical Rainfall Me asuring Mission (TRMM) precipitation data using high-resolution areal precipitation (0.125 deg.) at a seasonal scale. This study examined the performance of the monthly rainfall data product (TRMM 3B43) at the seasonal monsoon scale in the local climate region of Peninsular Malaysia. The high-resolution areal precipitation data (0.125 deg.) were derived from a dense rain gauge network ever collected in Peninsular Malaysia ( n = 984). Three relevant performance elements were evaluated: (i) the ability to depict temporal rainfall vari ation (ii) the quantitative error between TRMM and ground rainfall; and (iii) the ability to es timate the actual rainfall amount. We found that the ability of monthly TRMM data to depict rainfall variation and its tendency to propagate large errors varied seasonally. The correla tion between TRMM and ground rainfall was good during the wettest period in all local climate regions. The error was related to the northeast monsoon and inter-monsoon 2 (September–October). Meanwhile, the TRMM ratio varied
Identification of Osteosarcoma-Related Specific Proteins in Serum Samples Using Surface-Enhanced Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry

Osteosarcoma (OS) is the most common malignant bone tumor. To identify OS-related specific proteins for early diagnosis of OS, a novel approach, surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry (SELDI-TOF-MS) to serum samples from 25 OS patients, 16 osteochondroma, and 26 age-matched normal human volunteers as controls, was performed. Two proteins showed a significantly different expression in OS serum samples from control groups. Proteomic profiles and external leave-one-out cross-validation analysis showed that the correct rate of allocation, the sensitivity, and the specificity of diagnosis were 100%. These two proteins were further identified by searching the EPO-KB database, and one of the proteins identified as Serine rich region profile is involved in various cellular signaling cascades and tumor genesis. The presence of these two proteins in OS patients but absence from premalignant and normal human controls implied that they can be potential biomarkers for early diagnosis of OS.
DVIA: Understanding how software architects make decisions in design meetings

Software architecture design meetings are instances where architects discuss design concerns and make decisions about the significant elements of a software system. There is little empirical evidence about how architects make design decisions because capturing reasoning and decisions is intrusive and/or expensive, design meetings combine verbal and graphical interventions. This article describes Design Verbal Interventions Analysis (DVIA), a technique to identify design decisions in recorded design meetings by subjecting verbal interventions to transcription, classification and mapping to a decision model. The approach is illustrated with a case study of senior undergraduate student teams that were video-recorded while designing a command-and-control center for the pan-Andean spatial project. The DVIA analysis showed that the discussion developed as a set of cycles where designers engaged in concurrent resolution of several design issues at once, "jumping" among them and yet closing issues. This study shows empirically the viability of identifying design decision from the recording of verbal interventions, and point to possible ways to record and analyzes them.
A Passive Mechanism for Goal-Directed Navigation using Grid Cells

As more is becoming understood about how the brain represents and computes with high-level spatial information, the prospect of constructing biologically-inspired robot controllers using these spatial representations has become apparent. Grid cells are particularly interesting in this regard, as they provide a general coordinate system of space. Artificial neural network models of grid cells show the ability to perform path integration, but important for a robot is also the ability to calculate the direction from the current location, as indicated by the path integrator, to a remembered goal. Present models for goal-directed navigation using grid cells have used a simulating approach, where the networks are required to actively test successive locations along linear trajectories emanating from the current location. This paper presents a passive model, where differences between multiscale grid cell representations of the present location and the goal are used to calculate a goal-direction signal directly. The model successfully guides a simulated agent to its goal, showing promise for implementing the system on a real robot in the future. Some possible implications for neuroscientific studies on the goal-direction signal in the entorhinal/subicular region are briefly discussed.
Cardiometabolic Risk Assessments by Body Mass Index z-Score or Waist-to-Height Ratio in a Multiethnic Sample of Sixth-Graders

Convention defines pediatric adiposity by the body mass index z-score (BMIz) referenced to normative growth charts. Waist-to-height ratio (WHtR) does not depend on sex-and-age references. In the HEALTHY Study enrollment sample, we compared BMIz with WHtR for ability to identify adverse cardiometabolic risk. Among 5,482 sixth-grade students from 42 middle schools, we estimated explanatory variations (R 2) and standardized beta coefficients of BMIz or WHtR for cardiometabolic risk factors: insulin resistance (HOMA-IR), lipids, blood pressures, and glucose. For each risk outcome variable, we prepared adjusted regression models for four subpopulations stratified by sex and high versus lower fatness. For HOMA-IR, R 2 attributed to BMIz or WHtR was 19%–28% among high-fatness and 8%–13% among lower-fatness students. R 2 for lipid variables was 4%–9% among high-fatness and 2%–7% among lower-fatness students. In the lower-fatness subpopulations, the standardized coefficients for total cholesterol/HDL cholesterol and triglycerides tended to be weaker for BMIz (0.13–0.20) than for WHtR (0.17–0.28). Among high-fatness students, BMIz and WHtR correlated with blood pressures for Hispanics and whites, but not black boys (systolic) or girls (systolic and diastolic). In 11-12 year olds, assessments by WHtR can provide cardiometabolic risk estimates similar to conventional BMIz without requiring reference to a normative growth chart.
AN INTELLIGENT DECISION SUPPORT SYSTEM FOR DRIVER ASSISTANCE BASED ON VEHICLE, DRIVER AND ROAD ENVIRONMENT MONITORING

This paper describes an intelligent decision support system, a part of the I-WAY platform, which uses internal (vehicle parameters) and external (road infrastructure messages) information to provide drivers with useful warnings about potential road hazards. One of the novel aspects of this study is that the psycho-physiological state of the driver is assessed and is taken into account in a twofold way: i) as additional parameter of the overall driving risk estimation and ii) as parameter for the selection of the best warning strategy. We propose a framework based on Dynamic Influence Diagrams for the optimal driver assistance.
A Hot-Sensing Cold Receptor: C-Terminal Domain Determines Thermosensation in Transient Receptor Potential Channels

Temperature transduction in mammals is possible because of the presence of a set of temperature-dependent transient receptor potential (TRP) channels in dorsal root ganglia neurons and skin cells. Six thermo-TRP channels, all characterized by their unusually high temperature sensitivity (Q10 > 10), have been cloned: TRPV1–4 are heat activated, whereas TRPM8 and TRPA1 are activated by cold. Because of the lack of structural information, the molecular basis for regulation by temperature remains unknown. In this study, we assessed the role of the C-terminal domain of thermo-TRPs and its involvement in thermal activation by using chimeras between the heat receptor TRPV1 and the cold receptor TRPM8, in which the entire C-terminal domain was switched. Here, we demonstrate that the C-terminal domain is modular and confers the channel phenotype regarding temperature sensitivity, channel gating kinetics, and PIP2 (phosphatidylinositol-4,5-bisphophate) modulation. Thus, thermo-TRP channels contain an interchangeable specific region, different from the voltage sensor, which allows them to sense temperature stimuli.
Estimation of Perceived Risk and Its Effect on Property Values

A dynamic, discrete-time model is estimated in order to analyze the evolution of perceived risk around a hazardous waste site and its effect on property values. Residential property values are modeled as a function of housing attributes and perceived risk from a nearby hazardous waste site using an hedonic-price framework. Perceived risk enters the model as a state equation, which includes a media coverage variable. Results indicate that media coverage and high prior risk perception increase current perceived risk. Increased perceived risk surrounding the hazardous waste site, in turn, lowers property values. (JEL D80, R1)
Tackling alcohol-related harms: What policy approaches?

The target of policies aimed at addressing alcohol-related harms has been the subject of controversy in the policy debate. A traditional public health view holds that policy approaches addressing the entire spectrum of a risk factor, including those who are at low or no risk, are superior to approaches targeting only those at high risk. However, evidence of improved health outcomes in some moderate drinkers, means that potential health benefits might be forgone if policies were to affect consumption by those drinkers. This is a complex policy question involving political judgements that only individual governments can make. Governments have adopted a broad range of policy approaches to curb alcohol-related harms. These include information and education policies, as well as regulatory and fiscal options, traffic enforcement measures and interventions within the health care sector (particularly, in primary health care and mental health care). Especially in recent years, many attempts have been made to develop and test innovative policy approaches, such as minimum prices, education approaches, new measures to prevent traffic fatalities, but also to sharpen existing approaches and make them more effective in curbing heavy drinking. Business stakeholders have stepped up their corporate social responsibility efforts and a number of governments have established a dialogue with them. Multi-stakeholder initiatives have included attempts to reduce the quantity of alcohol on the market by providing incentives for consumers to demand lower-alcohol products.
Introducing: Content and Language Integrated learning (CLIL)

Introduction A quiet revolution has taken place in Queensland in the last twenty years. In an educational context where the mainstream teaching of second languages has reached occasional heights but has more often been marginalised and the object of criticism, a progressive program for teaching key learning areas in a second language has taken hold in a number of schools state wide. As part of ongoing discussions about the validity of second language teaching in Australia and a current debate about language choices, this paper examines second language immersion programs from the perspective of their contribution to whole school practices and the preparation of Australian students as global citizens of tomorrow. In a global research context, bilingual immersion programs are usually seen as the sites for integrated language and content learning.
Power-law behavior and condensation phenomena in disordered urn models

We investigate the equilibrium statistical properties of urn models with disorder. Two urn models are proposed; one belongs to the Ehrenfest class, and the other corresponds to the Monkey class. These models are introduced from the view point of the power-law behavior and randomness; it is clarified that quenched random parameters play an important role in generating the power-law behavior. We evaluate the occupation probability P(k) with which an urn has k balls by using the concept of statistical physics of disordered systems. In the disordered urn model belonging to the Monkey class, we find that above critical density ρc for a given temperature, condensation phenomenon occurs and the occupation probability changes its scaling behavior from an exponential law to a heavy tailed power law in large-k regime. We also discuss an interpretation of our results for explaining macro-economy, in particular the emergence of wealth differentials.
Dynamic Interactions Between Musical, Cardiovascular, and Cerebral Rhythms in Humans

Background— Reactions to music are considered subjective, but previous studies suggested that cardiorespiratory variables increase with faster tempo independent of individual preference. We tested whether compositions characterized by variable emphasis could produce parallel instantaneous cardiovascular/respiratory responses and whether these changes mirrored music profiles. Methods and Results— Twenty-four young healthy subjects, 12 musicians (choristers) and 12 nonmusician control subjects, listened (in random order) to music with vocal (Puccini's “Turandot”) or orchestral (Beethoven's 9th Symphony adagio) progressive crescendos, more uniform emphasis (Bach cantata), 10-second period (ie, similar to Mayer waves) rhythmic phrases (Giuseppe Verdi's arias “Va pensiero” and “Libiam nei lieti calici”), or silence while heart rate, respiration, blood pressures, middle cerebral artery flow velocity, and skin vasomotion were recorded. Common responses were recognized by averaging instantaneous cardiorespiratory responses regressed against changes in music profiles and by coherence analysis during rhythmic phrases. Vocal and orchestral crescendos produced significant (P=0.05 or better) correlations between cardiovascular or respiratory signals and music profile, particularly skin vasoconstriction and blood pressures, proportional to crescendo, in contrast to uniform emphasis, which induced skin vasodilation and reduction in blood pressures. Correlations were significant both in individual and group-averaged signals. Phrases at 10-second periods by Verdi entrained the cardiovascular autonomic variables. No qualitative differences in recorded measurements were seen between musicians and nonmusicians. Conclusions— Music emphasis and rhythmic phrases are tracked consistently by physiological variables. Autonomic responses are synchronized with music, which might therefore convey emotions through autonomic arousal during crescendos or rhythmic phrases.
Calibrating RSS-Based Indoor Positioning Systems

Location estimation based on Received Signal Strength (RSS) is the prevalent method in indoor positioning. For RSS-based methods a massive collection of training RSS samples is needed to calibrate the positioning system and to achieve a high positioning quality. The quality of these methods is directly related to the placement of the wireless sensors in the workspace and the Radio Map used to compute the user location. Traditionally deploying the reference points and building the Radio Map require human intervention and are extremely time-consuming. In this paper we aim to reduce these manual calibration efforts. We propose an automatic approach both to build a Radio Map in the given environment and to assess the best system calibration that fits the required positioning quality. The approach has been tested on the most used radio frequency-based technologies, i.e., IEEE 802.11 and Bluetooth.
Texture entropy algorithm for automatic detection of oil spill from RADARSAT-1 SAR data.

This work presents a method based on the utilisation of texture algorithms for the discrimination of oil spill areas from the surrounding features, e.g. sea surface and look-alikes, using RADARSAT-1 SAR Wide beam mode (W1), Standard beam mode (S2) and Standard beam mode (S1) data acquisition under different wind speeds. The results show that entropy texture algorithm is able to discriminate between oil spills and look-alike areas. The results also illustrate that the entropy texture algorithm identifies well the deficiency of oil spills in pairs of S2 data. Further, the W1 mode data, however, show an error standard deviation of 0.002, thus performing a better discrimination of oil spills than the S1 and S2 mode data.
Extracting and Using Electromagnetic Energy from the Active Vacuum

"The first principles of things will never be adequately known. Science is an openended endeavor, it can never be closed. We do science without knowing the first principles. It does in fact not start from first principles, nor from the end principles, but from the middle. We not only change theories, but also the concepts and entities themselves, and what questions to ask. The foundations of science must be continuously examined and modified; it will always be full of mysteries and surprises. " {1}
Analysis of Public Cloud Load Balancing using Partitioning Method and Game Theory

Cloud computing is a provision of providing networked, on-line, on-demand services pay per use basis. Several issues as scalability, security, performance etc are discussed so far by many researchers for the cloud computing. Cloud partitioning is an optimal approach for public cloud. In public cloud environment various nodes are used with required computing resources situated in different geographic locations, so this strategy simplifies the load distribution across the multiple nodes, but fault tolerance and load balancing are most important problems obtaining high performance in the system. Load balancing is the process of distribution of workload among different nodes or processor. The purpose of load balancing is to improve the performance of a cloud environment through an appropriate distribution strategy. Game theory is the formal study of conflict and cooperation. Game theoretic concepts apply whenever the actions of several agents are interdependent. The game theoretic algorithms help to obtain a user optimal load balancing which ultimately improves overall performance of cloud computing. This paper introduces a better approach for public cloud load distribution using partitioning and game theory concept to increase the performance of the system.
Anaemia and congestive heart failure early post-renal transplantation.

BACKGROUND Anaemia is common following renal transplantation and is associated with the development of congestive heart failure (CHF). However the prevalence of anaemia in the first year following transplantation and the association between anaemia occurring early and the development of CHF have been understudied. METHODS In this study, 132 incident patients undergoing tacrolimus and mycophenolate mofetil-based renal transplantation were studied for the prevalence of, and risk factors for, anaemia and CHF in the early period post transplantation. RESULTS Anaemia occurred in 94.5% and 53.1% of patients at 1 week and 12 months, respectively, and was associated with allograft dysfunction, hypoalbuminaemia, higher mycophenolic acid (MPA) levels, bacterial infection and hypoalbuminaemia. The association with hypoalbuminaemia may reflect the presence of chronic inflammation post-transplantation. Of patients displaying haemoglobin <11 g/dl, 41.1% and 29.4% were treated with erythropoiesis stimulating agents (ESAs) at 1 and 12 months respectively. CHF developed in 26 patients beyond 1 month post-transplantation, with echocardiographic left ventricular systolic function preserved in all but one. CHF was associated with anaemia and lower haemoglobin, allograft dysfunction, duration of dialysis and left ventricular hypertrophy on echocardiography prior to transplantation, suggesting the aetiology of CHF may involve the interplay of diastolic cardiac dysfunction, pre-load mismatch and after-load mismatch. CONCLUSIONS Modification of risk factors may improve anaemia management post transplantation. Reducing the prevalence of anaemia may in turn reduce the incidence of CHF-these observations support the need for clinical trials to determine how anaemia management may impact CHF incidence.
Some fixed-parameter tractable classes of Dual and related problems ⋆

In this paper we present fixed-parameter algorithms for the problem Dual—given two hypergraphs, decide if one is the transversal hypergraph of the other—and related problems. In the first part, we give algorithms for the parameters number of edges of the hypergraphs, the maximum degree of a vertex, and vertex complementary degrees. In the second part, we use an Apriori approach to obtain FPT results for generating all maximal independent sets of a hypergraph, all mini- mal transversals of a hypergraph, and all maximal frequent sets where parameters bound the intersections or unions of edges.