Miracle-dz/UniFAR-FTUs huggingface dataset:
Drama-driven workshops in healthcare co-design – options and critical questions

In this paper we aim to address how innovation and organizational development processes within a primary care organization could be opened up to involve a range of new stakeholders through co-design. The suggested approach (and similar codesign approaches) also raises a set of critical questions as its results challenges the established routines for how knowledge is shared, and new innovations are managed.
6T- SRAM for Low Power Consumption

In the current technology demand for Static Random Access Memory (SRAM) is increasing drastically due to its usage in almost all system on chip high performance processors and VLSI circuits. In this paper we present a six transistor (6T) Static Random Access Memory cell for low power applications. The proposed design has strong read static noise margin (SNM) and strong write ability of logic "one" is achieved, which is problematic in an SE-SRAM cell. The impact of process variation on the different failure mechanism in SRAM cell is analyzed. A 32 bit SRAM with proposed and standard 6T bit cells is simulated and evaluated for read SNM, write ability and power. In the proposed SRAM architecture based on 6T cell using 0.18um technology reduced leakage power dissipation compared to standard 6T SRAM.
Development of Web Based Publishing When User Involves

he theme of this paper is development of Web applications used by an organization to publish information to groups of users outside the organization. The paper focus on the challenge for the Web development organizations to help organizations finding and characterizing target groups for web sites and to create Web applications that can be used to communicate certain information and values to these specific target groups. The paper reports from a field study of a project developing a Web application to be used for information publishing to a number of target groups. The field study showed that such a project is different from other types of software development with respect to the point in time the different groups of users are identified and to what extend these groups are involved in the development process. The conclusion is that development of Web based information publishing is characterized by the importance of branding instead of selling products, a characterization of the user of the information system instead of involvement in the development process, that there is no work to be supported be the Web application, and finally that the task of "branding" includes more than usability issues. Keywords-Web development, software development paradigms, user involvement
Bispectral Analysis Of The Rat Eeg During Rem Sleep

The hippocampal EEG of adult rats was analyzed to examine the interrelations between various frequencies, especially in the theta band, during the vigilance state of REM sleep. Using power spectral analysis, harmonics of these theta frequencies were identified and using bispectral analysis, the presence of the second harmonic (13- 16 Hertz) was verified to be the result of quadratic phase coupling occurred between frequencies in the theta band (6-8 Hertz).
Priority Based On Cost for Dynamic ResourceAllocation in Green Cloud Environment

Cloud computing allows business customers to increase and decrease their resource usage based on needs. Many of the endorse gains in the cloud model come from resource multiplexing by using virtualization technology. In this dissertation, we present a system that uses virtualization technology to allocate resources dynamically based on “cost based priority” and support green computing by optimizing the number of physical machines in use. We introduce the concept of “skewness” to measure the unevenness in the multi-dimensional resource utilization of physical machines. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of physical machine resources. We develop a set of heuristics that prevent overloaded physical machines in the system effectively by not allowing them in further cycles of resource allocation. We restrict overloaded machines in order to stop further carbon monoxide emission from that machine. Experiment results demonstrate that our algorithm achieves good performance.
Supervised Approaches for Japanese Wikification

Wikification is the task of connecting mentions in texts to entities in a large-scale knowledge base, Wikipedia. In this paper, we present a pipeline system for Japanese Wikification that consists of two components, namely candidate generation and candidate ranking. We investigate several techniques for each component, using a recently developed Japanese Wikification corpus. For candidate generation, we find that a name dictionary using anchor texts of Wikipedia is more effective than other methods based on similarity of surface forms. For candidate ranking, we verify that a set of features used in English Wikification is effective in Japanese Wikification as well. In addition, by using a corpus that links mentions to Japanese Wikipedia entries instead of to English Wikipedia entries, we are able to acquire rich contextual information from Japanese Wikipedia articles, which leads to improvements for Japanese mention disambiguation. We take this advantage by exploring several embedding models that encode context information of Wikipedia entities. The experimental results demonstrate that they improve candidate ranking. We also report the effect of each feature in detail. To sum, our system achieves 81.60% accuracy, significantly outperforming the previous work.
A New Representation of WordNet® using Graph Databases

WordNet® is one of the most important resources in computation linguistics. The semantically related database of English terms is widely used in text analysis and retrieval domains, which constitute typical features, employed by social networks and other modern Web 2.0 applications. Under the hood, WordNet® can be seen as a sort of read-only social network relating its language terms. In our work, we implement a new storage technique for WordNet® based on graph databases. Graph databases are a major pillar of the NoSQL movement with lots of emerging products, such as Neo4j. In this paper, we present two Neo4j graph storage representations for the WordNet® dictionary. We analyze their performance and compare them to other traditional storage models. With this contribution, we also validate the applicability of modern graph databases in new areas beside the typical large-scale social networks with several hundreds of millions of nodes. Keywords-WordNet®; semantic relationships; graph databases; storage models; performance analysis.
BUILDING A BILINGUAL BIO-ONTOLOGY PLATFORM FOR KNOWLEDGE DISCOVERY

Bio-informatics or Bio-medicine is a hot area where biological ontologies are developed for reasoning and knowledge sharing. However, biomedicine is an evolving field (new knowledge emerges from research, etc.); therefore, a standard ontology construction process is required to keep the ontology up-to-date. This paper proposes to deal with the construction of a specialized ontology as the discovery of a new knowledge structure. The proposed bilingual bio-ontology contains more than 250 concepts about physiology, function and structure of human digestive system. Hence, the paper proposes a methodology for building a bilingual (English/Arabic) ontology for the digestive system in the biology domain. In conclusion, this paper presents a first step towards the creation of a bilingual bio-ontology through the integration of its sub-ontologies.
The role social capital , knowledge exchange and the growth of indigenous knowledge-based industry in the Triple Helix system : the case of SMEs in Thailand

This paper explores the Triple Helix system as a framework for the growth of the Thai dessert industry. In this paper, SMEs are presented as carriers of indigenous knowledge. The role of indigenous knowledge in SME innovation is discussed in relation to SME efforts to cultivate indigenous knowledge to cumulatively yield what is generically known as disruptive technological innovation on the back of their experiences in incremental innovations. The paper also examines the role of social capital and knowledge exchange in promoting SME innovation and competitiveness. A questionnaire survey of technology capability development, knowledge, and social capital was used to gather data and information from 121 Thai dessert firms together with interviews with the owners or manager of 22 firms as a supplement of questionnaire survey. Multiple regression analysis was used to analyse the relationship between social capital elements and technological capability development. The results pointed out that knowledge exchange is an important element that enables firms to enhance their innovation and technological capability. In addition, a higher index of social capital results in a better knowledge transfer and exchange between firms; and also between firms and organisations in the
Graphical representation of agent-based models in Operational Research and Management Science using UML

Agent-Based Modelling and Simulation (ABM/S) is still struggling to become one of the main stream simulation methods in Operational Research (OR) and Management Science (MS), despite its generally accepted usefulness when it comes to representing human behaviour in human-centric systems. In other fields, as for example Business Studies, Economics, and Social Science, it is flourishing. One of the technical differences between ABM/S and the well-established OR/MS simulation methods System Dynamics Simulation (SDS) and Discrete Event Simulation (DES) is that ABM/S traditionally uses an equation based modelling approach while SDS and DES use a graphical notation for the model description. We believe that having a graphical notation for ABM/S would help establish it in OR/MS. The Unified Modelling Language (UML) is a graphical notation commonly used in software engineering for the purpose of software design. Use case and state machine diagrams, which are part of the UML notation seem to lend themselves particularly well to ABM/S. In this paper we introduce UML to the OR/MS community. First we explain step-by-step how to use UML for developing ABM/S models. Then we demonstrate the application of this graphical notation by presenting two conceptual models we built for real world OR/MS case studies.
Word Sense Disambiguation of Swahili: Extending Swahili Language Technology with Machine Learning

This thesis addresses the problem of word sense disambiguation within the context of Swahili-English machine translation. In this setup, the goal of disambiguation is to choose the correct translation of an ambiguous Swahili noun in context. A corpus based approach to disambiguation is taken, where machine learning techniques are applied to a corpus of Swahili, to acquire disambiguation information automatically. In particular, the Self-Organizing Map algorithm is used to obtain a semantic categorization of Swahili nouns from data. The resulting classes form the basis of a class-based solution, where disambiguation is recast as a classification problem. The thesis exploits these semantic classes to automatically obtain annotated training data, addressing a key problem facing supervised word sense disambiguation. The semantic and linguistic characteristics of these classes are modelled as Bayesian belief networks, using the Bayesian Modelling Toolbox. Disambiguation is achieved via probabilistic inferencing. The thesis develops a disambiguation solution which does not make extensive resource requirements, but rather capitalizes on freely-available lexical and computational resources for English as a source of additional disambiguation information. A semantic tagger for Swahili is created by altering the configuration of the Bayesian classifiers. The disambiguation solution is tested on a subset of unambiguous nouns and a manually created gold standard of sixteen ambiguous nouns, using standard performance evaluation metrics.
An optimal bandwidth allocation algorithm for remote bridging of FDDI networks across B-ISDN

A two-level bandwidth negotiation algorithm used in fiber distributed data interface (FDDI) bridges to obtain a dynamically adaptive bandwidth in the wide area backbone is analyzed and optimized. On the basis of a set of reasonable assumptions on the features of asynchronous transfer mode (ATM) networks, it is shown how cross-connection costs can be optimized if steady-state user behavior is assumed. The extensive results show that the investigated policy can provide significant connection-cost savings. The results are obtained by numerically solving an analytical model, which has also been validated by simulation. <<ETX>>
Test bench for measuring the electrical properties of commercial thermoelectric modules

One of the most promising applications of thermoelectricity is the recovery of waste heat for the production of electrical energy. Nowadays, several thermoelectric companies manufacture commercial thermoelectric modules (TEMs) based on Bi/sub 2/Te/sub 3/ compounds specially designed to perform as Seebeck modules. This paper describes a test bench (geometry, materials, measuring equipment) to analyse the behaviour of this type of modules working under several temperature differences (/spl Delta/Ts). This allows to estimate the potential electric power generated in an application where the optimum AT cannot be achieved because the amount of heat supplied by the heat source is too small, or there is a limitation in the heat dissipation capacity at the cold side. The paper also shows the results obtained using two commercial modules tested under different working conditions. Plots of voltage, electrical power generated, and efficiency versus electric current generated are also included.
CBRN – A UNIFIED MODELLING AND DECISION SUPPORT SYSTEM TO ASSESS THE DISPERSAL AND HEALTH IMPACT OF HAZARDOUS RELEASES IN URBAN OR OPEN-FIELD ENVIRONMENTS

CERES CBRN is a new operational computational platform devoted to multi-threat hazardous materials atmospheric dispersion modelling and health impact assessment. It addresses emergent CBRN issues for the Civilian Security and it is by design committed to the response in case of emergency (in 15 minutes at the maximum). CERES gathers source term models, flexible dispersion approaches (from Gaussian puff to advanced 4D flow and dispersion computations), and human health consequences modules adapted to R-N, C or B noxious agents. CERES is a recent development, still in progress, by CEA (French Atomic and alternative Energies Commission) and research partners of the French CNRS. The paper aims at presenting and commenting on two recent major advances in CERES: the integration of the urban dispersion solver SIRANERISK (ECL / LMFA), and the coupling of MITHRA Gaussian model with M2C2 or KPP / SAPRC-99 atmospheric chemistry modules (UBP / LaMP). More particularly, the article illustrates the good results obtained for realistic applications of both developments in a few minutes on a standard multi-core laptop rendering CERES a promising decision support tool for crisis preparation and management.
Using Arti cial Neural Networks for Predictive Modeling of Graduates ’ Professional Choice

 is paper presents the results of research carried out at the Faculty of Mechanical Engineering (FME) in Belgrade for the purpose of enrollment policy. Arti cial neural networks are used in predicting graduates’ professional choice, i.e. a number of secondary vocational education and training schools (VET schools) graduate students will enroll on.  e assumption of graduates’ professional choices was veri ed on a sample of 119 graduates from two Belgrade VET schools. Factors in uencing the professional choice of VET school students are grouped in nine input variables.  e results show that neural network algorithms present a powerful tool for predicting graduates’ professional choice.
Chemical Tools for Spatiotemporal Regulation of microRNAs

MicroRNAs (miRNAs) are short noncoding RNAs (20-25 nucleotides) that regulate diverse cellular processes. Dysregulation of miRNAs have been associated with various human diseases, including cancer, cardiovascular diseases, metabolic diseases, infectious diseases, and neurodegenerative diseases among others [1]. They have emerged as a new class of important therapeutic target. Their biological functions in regular cellular events and their contributions to the onset or the progression of diseases have been under intensive studies in recent years.
INTEGRATING FORENSIC WATERMARKING INTO ADAPTIVE STREAMING WORKFLOW

Per-session forensic watermarking is a process of embedding a unique identifier for each streaming video session into the video content. This identifier will remain in this content, even if the content undergoes multiple cycles of camcording, filtering and transcoding. Forensic watermarking in adaptive HTTP streaming service is a two-step process, and thus the standard workflow is altered in two disjoint points. In the first step, preprocessing, some segments are duplicated and imperceptibly marked, creating two variants of the same segment. These variants are perceptually identical, but contain different bits of information. At the second step, a unique sequence of A and B variant segments is generated per each session, and this list is translated into the manifest format of choice, such as DASH MPD or Apple HLS. This stage is referred to as embedding. This paper will discuss capacity, storage and visual quality trade-offs in selecting a workflow stage at which pre-processing is performed. The two widespread options are (1) a preprocessing step in baseband video, prior to encoding or (2) encoder independent in the compressed-domain. This paper discusses and quantifies ways of reducing capacity and the storage impact of forensic watermarking in both approaches. It will further explore robustness and security implications of the two approaches with respect to different potential vulnerabilities, such as collusion. Lastly, this paper will cover approaches for enabling per-session embedding compatible with existing DVB and DASH-IF compliant MPEG DASH clients.
Automatic source identification of monophonic musical instrument sounds

A system has been developed which automatically identifies the source of monophonic musical instrument sounds. Preprocessing of sound recordings includes calculation of the short term RMS energy envelope, principal component analysis and ratio/product transformations of the resultant principal components. An artificial neural network and a nearest neighbour classifier were compared to determine which one provided optimum classification ability. The system performance was tested on sounds recorded from four musical instruments chosen to represent each of the major musical instrument families and playing notes over the range of one octave under varying volume conditions. Classification accuracies in the range 93.8-100% were achieved.
dSPACE BASED IMPLEMENTATION OF VARIOUS INVERTED SINE CARRIER PWM STRATEGIES FOR THREE PHASE FIVE LEVEL H-BRIDGE INVERTER

This work presents the comparison of Inverted Sine Carrier Pulse Width Modulation (ISCPWM) techniques for a Cascaded Multi Level Inverter (CMLI). In this paper, the chosen three phase CMLI is controlled by Sinusoidal PWM (SPWM) reference and Third Harmonic Injection PWM (THI PWM) reference with Inverted Sine Carrier (ISC) and the variation of Total Harmonic Distortion (THD) in the output voltage is observed for various modulation indices. Simulation is performed using MATLAB-SIMULINK. It is observed that sinusoidal reference with ISCPDPWM provides output with relatively low distortion. It is also seen that SPWM strategy with ISCCOPWM is found to perform better since it provides relatively higher fundamental RMS output voltage and relatively lower stress on the devices. From hardware results it is seen that ISCPDPWM provides output with relatively low distortion. It is also observed that ISCCOPWM is found to perform better since it provides relatively higher fundamental RMS output voltage.
STUDIES ON THE SEISMIC BEHAVIOUR OF THE LEANING TOWER OF PISA A PAVESE

The generation is based upon tectonic setting, seismic hazard, and estimated response spectra at bedrock of Jakarta. The seismic sources cover the earthquake potential to a depth of 200 km beneath Java and South-eastern Sumatra. They include the Great Semangko Fault, shallow crustal surrounding Jakarta and subduction zones of Sumatra and Java. The seismic hazard is conducted for 10% probability of exceedence in 20 years and 50 years. Two attenuation relations are chosen to represent surficial fault and subduction zone for determination of maximum acceleration and response spectra at bedrock. Attenuation relation proposed by Boore et al., (1997) is selected for the Great Semangko Fault, and shallow crustal and attenuation relation proposed by Youngs et al. (1997) for subduction environments of Java and Sumatra.
Precise Seed Micromorphometric Markers as a Tool for Comparative Phylogeny of Dendrobium ( Orchidaceae )

Orchid seeds are microscopic in nature and have been widely used in defining phylogenetic relationship among different genera. The genus Dendrobium is the second largest in the family Orchidaceae. The present study aims at evaluation of seed micromorphology of Dendrobium in the light of recent phylogenetic studies and to test whether the seed micromorphology strictly reflects the phylogenetic relationships at the inter-specific level. The seeds from 18 different Dendrobium species collected from throughout the Indian continent representing different sections were directly measured for six scorable micromorphometric traits (variables) through multivariate analysis and investigated for deducing their phylogenetic relationship. Concurrently seed sculpturing was also investigated from different populations of a particular species to normalize potential intra-specific variations using scanning electron microscopy. A reference phylogenetic tree from the ribosomal ITS 2 sequences was also constructed as a standard reference reflecting a DNA-based phylogenetic relationship among all species studied. Seed, embryo and testa cell length and width were six major quantitative variables observed to be important in deducing inter-specific phylogeny exhibiting congruence with ITS2-based phylogeny. However, seed coat sculpturing has not been observed in congruence with phylogeny; rather, they may be involved in ecology of the particular species. _____________________________________________________________________________________________________________