Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling the selection of routine action: Exploring the criticality of parameter values

Several authors have distinguished automatic behaviour of routine or well-learnt action sequences from controlled behaviour of novel actions. Tn this paper we present an interactive activation model of routine action selection based on the Contention Scheduling theory of Norman & Shallice (1986). The model, developed in the specific domain of coffee preparation, provides a good account of normal behaviour in a complex yet routine task. In addition, we report lesioning studies which show breakdown of action selection qualitatively similar to that seen in a variety of neurological patients (action disorganisation syndrome, utilisation behaviour, and Parkinson's disease). These lesioning studies are based on the systematic variation of critical system parameters. Such parameters, which are implicit in all interactive activation models, raise complex methodological issues relating to the criticality of their values. We address these issues by reporting results of a detailed exploration of the parameter space.
Research of Computer Desktop Image Compression Clustering Algorithm

The basis for the image algorithm is the Discrete Cosine Transform (DCT) which extracts spatial frequency information from the spatial amplitude samples. In this paper, an image compression k-means clustering algorithm based on block-based discrete cosine transform to compress computer desktop image is proposed. It divides computer screen image into 16×16 non-overlapping blocks, then each block is classified into text/graphic block, hybrid block or picture block. For text/graphic blocks with rich color, a color clustering algorithm is used to reduce the number of colors, text/graphic block is coded by lossless compression and hybrid block is coded by hybrid coding method. Experimental results indicated that the image by our proposed algorithm has higher Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) than traditional algorithms.
Towards peer education prevention of school dropout: An exploratory analysis of an action-research study

This paper presents the exploratory analysis of an action-research into dropout prevention in an Italian secondary school. By taking into account the representations of teachers, students and parents, different activities of peer education have been implemented during the school year in a city of Sardinia in order to promote school success. The study is based on a mixed-methods design, including focus groups with teachers, students and parents, as well as classroom observations. The action-research consists of different interventions: firstly, the participants’ representations of school dropout have been collected; then, a specific program of peer education has been proposed through activities of role-playing, simulations, brainstorming, and improvement of life skills (during training meetings with the participants). Thereafter, the action-research has been qualitatively analysed, with the findings indicating possible directions of re-creating school practices that could have potential benefits in preventing dropout.
Research and Implementation of Text Categorization System Based on VSM

In recent years , information processing turns more and more important for us to get useful information . Text categorization, the automated assigning of natural language texts to predefined categories based on their contents, is a task of increasing importance. This paper gives a research to several key techniques about text categorization , including vector space model , feature extraction , machine learning . It also describes a text categorization model based on VSM, and gives the evaluations and results .
Data Visualization of Complex Eye Movements Using Directed Weighted Networks

Visualization approaches for eye movement analysis suffers from two limitations: (1) inability to handle the stochasticity of both number and position of moving areas of interests (AOIs), and (2) absence of quantitative metrics to analyze eye movement data. We adapted the directed weighted network (DWN) and associated “centrality” metrics to support the visualization of the complex eye movement data. A case study was performed using a realistic air traffic control task environment. Promising results were found as we were able identify important targets (aircraft) interrogated by an air traffic controller based on different time frames. This case study serves as a foundation to develop effective data visualization methods and quantitative metrics for analyzing complex eye movements for a multi-element tracking task.
Intersection Types for Class-based Object Oriented Programming

Intersection type systems have been well studied in the cont ext of the Lambda Calculus and functional programming over the last quarter of a century or so. Recentl y, the principles of intersection types have been successfully applied in an object orientedcontext [5]. This work was done using the ς object calculus of Abadi and Cardelli [1], however we note that this calculus leans more towards the object-basedapproach to object orientation, and wish to investigate how intersec tion types interact with a quintessentially classbasedapproach. In order to do this, we define a small functional cal culus that expresses class-based object oriented features and is modelled on the similar calculi of F eatherweight Java [18] and Middleweight Java [8], which are ultimately based upon the Java programming la u ge. We define a predicatesystem, similar to the one defined by van Bakel and de’Liguoro [5], and show sub ject reduction and expansion. We discuss the implications that this has for the characterisation of e xpr ssions in our calculus, and define a restriction of the predicate system which we informally argue is decidab le.
Scotopic contour and shape discrimination using radial frequency patterns

Radial frequency (RF) patterns are valuable tools for investigations of contour integration and shape discrimination. Under photopic conditions, healthy observers can detect deformations from circularity in RF patterns as small as 3 seconds of arc. Such fine discrimination may be facilitated by cortical curvature detectors or global shape-detecting mechanisms that favor a closed contour. Rods make up 95% of photoreceptors in the retina, but we know very little about how spatial information is processed by rod-mediated pathways. We measured scotopic radial deformation discrimination using both full and partly occluded RF pattern stimuli. We found radial deformation thresholds of around 2–3 minutes of arc for stimuli with a wide range of radii and RFs. When parts of the stimulus were occluded, scotopic thresholds improved up to the point that three or four cycles of modulation were visible; no further improvement occurred with the addition of more visible cycles. When only one to three cycles were visible, an increase in curvature per cycle became important, allowing observers to detect smaller deformations from circularity. Our results indicate that the scotopic radial deformation thresholds for the stimuli tested are not dependent on global circularity cues but are instead mediated by local curvature cues.
A Methodology for cross-resolution modeling in DEVS using event-B refinement ; DEVS için melez-çözünürlüklü modellemede event-b arıtımı kullanan bir yöntembilimi

A METHODOLOGY FOR CROSS-RESOLUTION MODELING IN DEVS USING EVENT-B REFINEMENT Kara, Ahmet Ph.D., Department of Computer Engineering Supervisor : Assoc. Prof. Dr. Halit Oğuztüzün Co-Supervisor : Dr. M. Nedim Alpdemir February 2014, 98 pages This thesis proposes a software engineering solution for implementing simulations via composition of models at different resolution levels with the help of formal methods. Our solution provides a systematic methodology that offers a well-defined sequence of stages to obtain executable converters for entity resolution mapping, given the types of entity attributes that are exchanged at model interfaces and the mapping specifications. Our methodology relies on Event-B as the formal specification language and DEVS as the model composition framework; utilizes refinement relations between Event-B machines for specification, verification and generation of the data conversion steps between models, and employs a code generator that inputs Event-B machine definitions to generate converter code that connects two model ports. Resolution converters for model compositions allows an introduction to use of connector paradigm in modeling and simulation environment. We use our achievements in DEVS converters for implementing DEVS simulations in heterogeneous environments with the help of connectors in the sense of component based software v engineering. This solution involves implementing connectors as atomic models to be used in mediation of data type and time resolution mismatches. Employing atomic models as connectors allows connector composition in the style of Reo and promotes higher level of reuse in simulation construction.
Daytime and nighttime urban heat islands statistical models for Atlanta

In this study, we empirically model the interactions between 2D and 3D geospatial information and both daytime and nighttime urban heat islands, and estimate the relative importance of various urban heat islands drivers. While previous studies have explored the relationship between the urban heat islands and 2D urban features, the interactions with 3D urban features and neighboring surface characteristics have not been adequately explored. This paper specifies the impacts of these urban features on the urban heat islands intensity during daytime and nighttime, which tend to be quite different. The empirical evidence from this study suggests that while vegetation is the dominant factor for urban heat islands intensity during daytime, the urban canyon has stronger impacts on the urban heat islands than vegetation at night. In addition, adjacent surfaces are more likely to influence nighttime surface temperatures. These results could be used to develop urban design solutions for mitigating the urban heat islands.
Will Negative Experiences Impact Future it Outsourcing?

Though Information Systems (IS) outsourcing is growing at a rapid pace, there are several risk factors and potential negative outcomes. The objectives of this study are i) to conceptualize the relationships among the IS outsourcing risk factors, the negative outcomes of these risk factors, and their impact on future re-outsourcing decisions, and ii) to test these relationships empirically using survey data and structural equation modeling. Based on data from 148 firms, we have found that future re-outsourcing decisions are strongly influenced by the negative outcomes of loss of control and the degradation of IS services. While all the risk factors influence future re-outsourcing decisions, either directly or indirectly, vendor competence problems (related to infrastructure) and vendor coordination problems have a direct effect on re-outsourcing decisions. Such variables as vendor attitude problems, vendor competence problems (related to staff quality), and in-house competence problems have an indirect effect on re-outsourcing decisions.
Blocking the PAH 2 domain of Sin 3 A inhibits tumorigenesis and confers retinoid sensitivity in triple negative breast cancer

Triple negative breast cancer (TNBC) frequently relapses locally, regionally or as systemic metastases. Development of targeted therapy that offers significant survival benefit in TNBC is an unmet clinical need. We have previously reported that blocking interactions between PAH2 domain of chromatin regulator Sin3A and the Sin3 interaction domain (SID) containing proteins by SID decoys result in EMT reversal, and re-expression of genes associated with differentiation. Here we report a novel and therapeutically relevant combinatorial use of SID decoys. SID decoys activate RARα/β pathways that are enhanced in combination with RARα-selective agonist AM80 to induce morphogenesis and inhibit tumorsphere formation. These findings correlate with inhibition of mammary hyperplasia and a significant increase in tumor-free survival in MMTV-Myc oncomice treated with a small molecule mimetic of SID (C16). Further, in two well-established mouse TNBC models we show that treatment with C16-AM80 combination has marked anti-tumor effects, prevents lung metastases and seeding of tumor cells to bone marrow. This correlated to a remarkable 100% increase in diseasefree survival with a possibility of “cure” in mice bearing a TNBC-like tumor. Targeting Sin3A by C16 alone or in combination with AM80 may thus be a promising adjuvant therapy for treating or preventing metastatic TNBC.
Optimization for Cooperative Spectrum Sensing in Cognitive Radio Networks

The objective of spectrum sensing is to provide more spectrum access opportunities to cognitive rafio(CR) users without causing interference to primary users.For the limitation of local spectrum detection,cooperative spectrum sensing is proposed.To maximize the spectrum sensing efficiency of single licensed channel under satisfying interference constraint to primary user,a novel cooperative spectrum sensing scheme is proposed by jointly optimizing the sensing parameters of sensing duration,the transmission duration and the numbers of CR users participating in cooperative spectrum sensing and the optimal solution is obtained based on exhaustive search.Moreover,the sensing efficiency problem is studied in multichannel environment and a licensed channel selective allocation scheme is proposed.Simulation results verify the effectiveness of the proposed method.
2.6.4 Active Co‐operation Networks – Key to a Competitive Advantage in a Global Marketplace ?

In recent years rapid developments in information technology have dramatically changed the availability of information. It is now almost possible to get any information at any place in the world at any time. The economy has adapted to these changes and will continue to do so in the future. To keep up with competitors strategic alliances can be observed in many markets. Virtual enterprises and communities are the consequence. Due to the globalisation of markets the economy is getting increasingly networked and consequently complex. It will be significant in future to analyse and model these processes and it must be clarified to what extent systems engineering methods/tools can be used to handle this complexity.
La comunicación humana: orígenes de la reflexión sociológica

Pareciera existir, dentro del campo sociologico, cierto acuerdo al sostener que la “realidad social” —o simplemente “sociedad”— es el resultado del vinculo persistente entre los seres humanos, y a eso se le llama “interaccion social”. Sin pretender negar ese sentido comun sociologico, este articulo se enfoca en cierto elemento que se origina tempranamente en la ontogenia humana —es decir, de un modo natural mas que social— y que se constituye como fundamental en el posterior desarrollo: el problema de la comunicacion como elemento central de la reflexion sociologica.
Rechneraufbau und Rechnerstrukturen

MAR Memory Adress Register Speicheradress–Register für die Adresse des nächsten anzusprechenden Speicherplatz MBR Memory Buffer Register Puffer–Register für die Kommunikation mit dem Speicher A Akkumulator General Purpose Register für alle anfallenden Aufgaben MR Multiplier Register Multiplikator (Aufnahme von Multiplikationsergebnissen) L Link Register Einstelliges Register für Überträge und Ähnliches IR Instruction Register Befehlsregister, enthält den aktuellen Befehl PC Program Counter Befehlszähler, enthält die Adresse des nächsten Befehls
Open Price Prediction of Stock Market using Regression Analysis

: The development of a dynamic application for analysing and predicting stock market prices is a basic tool aimed at accelerating the rate of investors‟ interest in stock market . The development and implementation of a stock price prediction is explained in this project and for this purpose regression algorithm and object oriented approach of software development is used. In most of the economies trading in shares is big business. From the information gathered from their website, it appears that the stock brokers do not have any intelligent tool which can help them advice their clients on which stocks are proper for them to buy or sell. The prevailing methods show a trend on future movement of stocks and not the likely price for any stock in the future. It is therefore preferable to have a tool that does not just point a direction towards price movement, but also indicates the most likely price of the stock itself
Data Aggregation Using RSA Key Management Technique in Wireless Sensor Networks

Data sampled by sensor nodes having much redundancy. Data aggregation becomes an effective method to eliminate redundancy and minimize the number of transmission and then to save energy. To aggregate data by using ANT COLONY algorithm. Like Ant, it simply collects all the node information and sends to the destination. The ants to explore paths and follow the best paths with some probability in proportion to the intensity of the pheromone trail. In this the Data aggregation scheme employ Dynamic routing protocols and can forward packets(assigning attributes) with key security and time to time key value change dynamically by using RSA algorithm. The resources especially energy in wireless sensor networks (WSNs) are quite limited. Many applications can be deployed in WSNs and various sensors are embedded in nodes, the packets generated by heterogeneous sensors or different applications have different attributes. Most data aggregation schemes employ static routing protocols, which cannot dynamically or intentionally forward packets according to network state or packet types. To make data aggregation more efficient, proposed method using a RSA algorithm to implement a key based data transmission on network. The data’s are aggregated using ant colony, a potential-based dynamic routing is elaborated to support and therefore improve the efficiency of data aggregation. The proposed work is to send the packets through secure routing and time to time key value change dynamically.
Sécurité routière et charge cognitive : apports du modèle TBRS et des mesures physiologiques

L’inattention est l’un des facteurs les plus importants dans les accidents automobiles. Le modele du partage temporel des ressources nous permet de mieux comprendre les liens entre cette inattention, les interferences et l’attention, le tout de facon dynamique. Cependant, ce modele a ete soutenu par aucune etude en situation complexe et par aucune mesure physiologique. Le protocole d’une etude precedente a ete adapte dans un simulateur automobile. Les participants de notre etude etaient au nombre de 9. Les conducteurs etaient confrontes a une situation de double tâche : ils devaient respecter des consignes de conduite et realiser une tâche de memorisation integree dans l’environnement du vehicule. Leurs activites cardiaques, electrodermales et cerebrales etaient acquises. Une diminution des performances comportementales a ete mesuree avec l’augmentation de la difficulte. Les resultats physiologiques ont montre une modulation de l’activite du systeme nerveux central et peripherique avec la manipulation de la difficulte de la tâche. Ainsi, une diminution de la puissance spectrale alpha, une augmentation de l’amplitude de la composante P3b et de la consommation en hemoglobine oxygenee au niveau du DLFPC ont ete observees avec l’augmentation de la difficulte. De la meme maniere, une augmentation du rythme cardiaque et de l’activite cutanee a ete mise en evidence ainsi qu’une diminution de la variabilite de la frequence cardiaque. Ces differents resultats sont encourageants pour l’etude du modele du partage temporel des ressources au moyen de ce protocole original.
Estudio comparativo para análisis del peso final del pollo de engorde COBB y ROSS 308 AP antes del sacrificio para evaluar posible cambio de estirpe en la operadora avícola de Colombia S.A.S

La industria avicola ha presentado un acelerado crecimiento en los ultimos 50 anos mas que cualquier otro sector de la produccion animal, influenciada principalmente por el avance en el mejoramiento del potencial genetico. Por tanto resulta importante establecer los parametros zootecnicos de las aves segun su estirpe, con el fin de clasificar su desempeno e implicitamente conocer las ventajas y puntos criticos de intervencion para cada una de las empresas que participan en el proceso de produccion en granja y, asi mismo, incluir practicas de bienestar animal que velen no solo por asegurar una optima calidad del producto final sino tambien un trato digno a las aves hasta el momento del sacrificio.El presente trabajo se realizo en la planta de benefico de la Operadora Avicola Colombia S.A. S, ubicada en el anillo vial 2-46 via Giron, del municipio de Giron, Santander. Esta practica se desarrollo con el objetivo de analizar y sistematizar los parametros zootecnicos entre el pollo de engorde Cobb y Ross 308 AP, para llevar a cabo un posible cambio de estirpe en la empresa Operadora avicola de Colombia S.A. S. Se tomaron muestras mensuales representativas de la poblacion general de las estirpes Cobb y Ross 308 AP, 200 aves tanto machos como hembras destinadas al beneficio, evaluando inicialmente el peso ante-mortem, con el fin de comparar y determinar con base en resultados, que linea genetica posee un mejor comportamiento productivo a fin de sugerir un posible cambio de estirpe en las granjas vinculadas a la empresa.
¿Es el cargo y descargo un informe? Análisis de su utilidad a la luz del tratado de cuentas de Diego del Castillo (1522)

Los registros contables son el fundamento del sistema de información económica y control de las organizaciones; y los estados finales que surgen de ellos la base de la información general útil para tomar decisiones, así como para mostrar los resultados de la gestión realizada por los administradores con los recursos que les han confiado.El cargo y descargo, a pesar de sus múltiples funciones ligadas principalmente al control y a la rendición de cuentas, se ha considerado tradicionalmente más deficitario que la partida doble en cuanto a que no constituye ningún sistema al no ser el resultado de una interrelación previa entre los elementos de un negocio y, por tanto, menos válido para proporcionar información útil para decidir.Con este trabajo pretendemos, a través de un análisis cualitativo, aceptar o refutar la hipótesis de si el cargo y descargo, además de servir para la rendición de cuentas, constituía un estado en sí mismo capaz de atender las necesidades informativas de sus usuarios en un contexto histórico donde la partida doble ya era perfectamente válida para ofrecer a sus usuarios información relevante y fiable para decidir y determinar el resultado de la gestión realizada por un agente en el marco de la Teoría de la Agencia.
ROTIFERS ABUNDANCE AND THEIR RELATIONSHIP TO WATER QUALITY IN THE PANDU LAKE, BODHAN, TELANGANA, INDIA

In the present study an attempt has been made to evaluate water quality and related density of rotifers for a period of two years, August 2002 to July 2004. A few water quality parameters such as dissolved Oxygen, biological oxygen demand, phosphates, and nitrates are presented here to relate with the abundance or cessation of rotifers. The present study has given an understanding that lake is transforming into nutrient rich water body.