Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiagent Approach for Cancer Automated Registration

Recording and monitoring patients with cancer in distributed databases, generally called registries, present a priority in cases in which these diseases have become a major public health problem. The cancer registries contain a comprehensive collection of information about patients that enter under the incidence of the certain disease, extended to population level and they are essential in order to improve the quality of care and survival for patients. The aim of our research is to develop a multiagent system with the goal of automating the process of registration using one of the agent-oriented software engineering methodologies. The INGENIAS methodology is selected based on more evaluation criteria: concepts and properties, modeling language, model-related, and organizational. The analysis-toimplementation procedure of the multiagent system, following the INGENIAS approach, consists in the presentation of five basic concepts: organization, agent, tasks/goals, interaction, and environment. Following the methodology a prototype is implemented. The prototype is tested in a medical centre responsible with the cancer regional registry management and the experimental results show the potential of the multiagent approach.
Numerical Analysis of Electromagnetic Wave Propagation in Surface Wave Plasma Apparatus

A three-dimensional (3D) simulation algorithm has been developed to analyze the microwave propagation bounded by plasma with combining the momentum conservation equation of electron to the finite-difference time-domain (FDTD) method. Using this simulation algorithm, the characteristics of electromagnetic wave’s propagation in ring dielectric line typed surface wave plasma (RDL-SWP) apparatus have been simulated under the several conditions of gas pressures and electron densities. And the limitation for generating high electron density has been evaluated with this simulation tool.
Examining the Influence of Emotional Intelligence on Students’ Study Approaches and Academic Performance

This study examined the influence of emotional Intelligence on student’s study approach and academic performance. A sample of 364 multimedia university students from Melaka was chosen from Foundation in Engineering, IT and Management. Result revealed no significant difference between student’s study process and EQ between the genders. The Engineering and IT students have higher EQ and study process as compared to Management student. They experienced higher surface study approach compared to deep study approach. Findings also revealed that there is a significant weak negative relationship between deep study approach and CGPA and no significant relationship between EQ and CGPA. The implications of these findings are potentially important to the process of teaching and learning. Understanding student’s study approaches enables instructors to fine tune their strategies of teaching and learning activities in order to help students improve their academic performance.
Lattice Boltzmann Approach to Collective-Particle Interactions in Magnetic Fluids

A 2D lattice Boltzmann model with 6 + 1 species of particles is developed in order to simulate the behaviour of magnetic fluids. Among these species, 6 of them carry an individual magnetic-dipole moment and, consequently, are subjected to nearest-neighbour interactions besides the local collisions. This model exhibits anisotropic-structure formation as a result of magnetic-field-induced gas-liquid phase transitions and anisotropic sound propagation, which are major characteristics of magnetic fluids.
Poly[tetraaqua-μ3-benzene-1,2-dicarboxylato-μ3-bromido-penta-μ2-bromido-octa-μ3-isonicotinato-heptacopper(I)trilanthanum(III)]

A new lanthanum(III)–copper(I) heterometallic coordination polymer, [Cu7La3Br6(C6H4NO2)8(C8H4O4)(H2O)4]n, has been prepared by a hydrothermal method. Of the three La atoms in the asymmetric unit, two are eight-coordinate with bicapped trigonal–prismatic configurations; the third is nine-coordinated and has a tricapped trigonal–prismatic coordination geometry. Of the seven Cu atoms, two are two-coordinate with CuBrN and CuN2 ligand sets, three have trigonal configurations, viz. CuBrN2, CuBr2N and CuBr3, while the remaining two adopt distorted tetrahedral CuBr3N geometries. In the crystal structure, adjacent La centers are linked by isonicotinate (IN−) and benzene-1,2-dicarboxylate ligands to form a two-dimensional La–carboxylate layer in the ab plane. These layers are further interconnected with each other by bridging [Cu(IN)2] motifs, leading to an unusual three-dimensional heterometallic Cu–halide–lanthanide–organic framework, with the inorganic [Cu6Br6]n chains located in the resulting channels. Two Cu atoms are disordered over two positions, both with site occupancy factors of 0.80 and 0.20. O—H⋯O hydrogen bonding between water molecules and carboxylate O atoms helps to consolidate the crystal packing.
Is daytime napping a healthy habit in adolescents

Introduction: Napping is a commonly observed phenomenon, seen due to increase in daytime drowsiness and is usually perceived as a part of circadian rhythm dip in level of alertness. Whether such brief periods of sleep are just a habit, a sign of sleep deprivation or underlying mood disorder is a matter of debate. This study was conducted to see the relationship of napping with various aspects of mood & performance.
PLEASE NOTE! THIS IS PARALLEL PUBLISHED VERSION / SELF-ARCHIVED VERSION OF THE OF THE ORIGINAL ARTICLE

Cyber security exercises allow individuals and organisations to train and test their skills in complex cyber attack situations. In order to effectively organise and conduct such exercise, the exercise control team must have accurate situational awareness of the exercise teams. In this paper, the communication patterns collected during a large-scale cyber exercise, and their possible use in improving Situational awareness of exercise control team were analysed. Communication patterns were analysed using graph visualisation and time-series based methods. In addition, suitability of a new reporting tool was analysed. The reporting tool was developed for improving situational awareness and exercise control flow. The tool was used for real-time reporting and communication in various exercise related tasks. Based on the results, it can be stated that the communication patterns can be effectively used to infer performance of exercise teams and improve situational awareness of exercise control team in a complex large-scale cyber security exercise. In addition, the developed model and state-of-the-art reporting tool enable real-time analysis for achieving a better situational awareness for the exercise control of the cyber security exercise.
An automatic detector of drowsiness based on spectral analysis and wavelet decomposition of EEG records

An algorithm to detect automatically drowsiness episodes has been developed. It uses only one EEG channel to differentiate the stages of alertness and drowsiness. In this work the vectors features are building combining Power Spectral Density (PDS) and Wavelet Transform (WT). The feature extracted from the PSD of EEG signal are: Central frequency, the First Quartile Frequency, the Maximum Frequency, the Total Energy of the Spectrum, the Power of Theta and Alpha bands. In the Wavelet Domain, it was computed the number of Zero Crossing and the integrated from the scale 3, 4 and 5 of Daubechies 2 order WT. The classifying of epochs is being done with neural networks. The detection results obtained with this technique are 86.5% for drowsiness stages and 81.7% for alertness segment. Those results show that the features extracted and the classifier are able to identify drowsiness EEG segments.
Book Review: The Art of Computer Systems Performance Analysis; Techniques for Experimental Design, Measurement, Simulation and Modelling by Raj Jain (John Wiley and Sons, 1991)

The goal of this large book is to comprehensively survey the field of computer performance analysis . The book starts with an brief overview (3 short chapters) of performance evaluation, whic h lists key journals, discusses common errors made in performance evaluation, and touches o n issues of choosing evaluation techniques and metrics . The second section of the book ( 7 chapters) presents measurement techniques and tools . There are good discussions of issues related to choosing workload models characterizing results from workload measurements, and displaying data collected . The third section (4 chapters) is a basic introduction to probability and statistics . These chapters focus on basic statistical techniques ; probability theory is given only a couple of pages . The fourth and fifth sections are the most interesting, a total of 14 chapters on experimental design, analysis and simulation . Jain's skillful applications of these methods to problems in computer communication have made him widely respected in the field, and the chapters reflec t his close knowledge of the field . The final section discusses queueing theory. This section is probably the weakest . Jain, with some good reasons, believes that queueing theory is not as useful as some of the other techniques presented in the book . But the presentation of queueing leaves out some useful techniques . In particular, M/G/l systems, which are fairly congenial to solution, are not presente d in detail . The section also neglects Little's Law in Distribution, which eases the solution t o many common types of queueing models [l,2] . Taken overall, the book is very impressive . The survey is can be fairly called comprehensive , and the depth of discussion is generally appropriate for a survey . The text is usually a pleasure to read, a surprise for a highly mathematical book . Furthermore, the frequent use of case studies was effective and sometimes entertaining . (Indeed, I thought the case studies alone made interesting reading) .
Detection Network Anomalies Based on Packet and Flow Analysis

Anomalies generate vast amounts of bogus traffic, which can overwhelm the network and any attached hosts. Identifying traffic anomalies rapidly and accurately is critical to network stability and usefulness. Most papers focus on analyzing the volume of data or packets on the network. However, legitimate network traffic may be bursty or highly variable, rendering such naive approaches ineffective (Lakhina et al., 2005). We propose a novel method called MultiA to solve this problem. Rather than just looking at volumes of packets, MultiA intelligently adopted multistage filter and information entropy take into account the behavior of the network. The MultiA is scalable, automated and self-training. We find this technique effectively identifies network traffic anomalies while avoiding the high false alarms rate.
A Test Bench for Distortion-Energy Optimization of a DSP-Based H.264/SVC Decoder

This paper describes an OMAP based real-time test bench to find the Pareto frontier of an H.264/SVC decoder within a distortion-energy optimization space. A metric to estimate video distortion is introduced. In addition, energy consumption estimates are obtained from real-time measurements of the computational load. Finally, test bench operation is successfully demonstrated with different H.264/SVC-compliant sets of sequences.
Better antiarrhythmics? Development of antiarrhythmic drugs selective for ischaemia‐dependent arrhythmias

RSD1000 is one example of a series of compounds synthesized by Nortran Pharmaceuticals, Inc., to provide selective protection against arrhythmias due to myocardial ischaemia and so providing better therapeutic indices than existing drugs. RSD1019 is an analogue of RSD1000, whose therapeutic indices are better than those of RSD1000. The antiarrhythmic efficacy of RSD1000 and RSD1019 against ventricular arrhythmias induced by myocardial ischaemia were investigated in rats. Doses providing such antiarrhythmic protection were compared with those having effects on the ECG and on electrical stimulation variables and induction of ventricular arrhythmias; such actions are indices of ionic current blockade in normal myocardium. For RSD1019, additional experiments were performed in rabbits and nonhuman primates to rule out species‐specific drug actions. The two compounds were also investigated for their effects on isolated rat hearts and on sodium and potassium currents in isolated rat cardiac myocytes. Analogous studies were performed on potassium currents from transfected potassium channels expressed in human embryonic kidney cells. Lidocaine was used for comparative purposes in several experiments. Drug Dev. Res. 42:198–210, 1997. © 1997 Wiley‐Liss, Inc.
Multichannel Resource Allocation Mechanism for 60 GHz Radio-Over-Fiber Local Access Networks

We present a flexible multichannel resource allocation mechanism for 60 GHz radio-over-fiber local access networks. The proposed mechanism is based on the structure of medium-transparent MAC, which is capable of allocating capacity dynamically over both optical and wireless media. A frequency band dedicated to the control channel is assigned to reduce the negative effects of the fiber delay in the high-speed 60 GHz radio-over-fiber system. Moreover, multiple channels are used to transmit data for end users according to their requirements.
Q-CSMA: Queue-Length Based CSMA/CA Algorithms for Achieving Maximum Throughput and Low Delay in Wireless Networks

Recently, it has been shown that CSMA-type random access algorithms can achieve the maximum possible throughput in ad hoc wireless networks. However, these algorithms assume an idealized continuous-time CSMA protocol where collisions can never occur. In addition, simulation results indicate that the delay performance of these algorithms can be quite bad. On the other hand, although some simple heuristics (such as distributed approximations of greedy maximal scheduling) can yield much better delay performance for a large set of arrival rates, they may only achieve a fraction of the capacity region in general. In this paper, we propose a discrete-time version of the CSMA algorithm. Central to our results is a discrete-time distributed randomized algorithm which is based on a generalization of the so-called Glauber dynamics from statistical physics, where multiple links are allowed to update their states in a single time slot. The algorithm generates collision-free transmission schedules while explicitly taking collisions into account during the control phase of the protocol, thus relaxing the perfect CSMA assumption. More importantly, the algorithm allows us to incorporate delay-reduction mechanisms which lead to very good delay performance while retaining the throughput-optimality property.
Mutatis Mutandis: Safe and predictable dynamic software updating

This article presents Proteus, a core calculus that models dynamic software updating, a service for fixing bugs and adding features to a running program. Proteus permits a program's type structure to change dynamically but guarantees the updated program remains type-correct by ensuring a property we call con-freeness. We show how con-freeness can be enforced dynamically, and how it can be approximated via a novel static analysis. This analysis can be used to assess the implications of a program's structure on future updates in order to make update success more predictable. We have implemented Proteus for C, and briefly discuss our implementation which we have tested on several well-known programs.
Mapping landscape connectivity as a driver of species richness under tectonic and climatic forcing

Abstract. Species distribution and richness ultimately result from complex interactions between biological, physical, and environmental factors. It has been recently shown for a static natural landscape that the elevational connectivity, which measures the proximity of a site to others with similar habitats, is a key physical driver of local species richness. Here we examine changes in elevational connectivity during mountain building using a landscape evolution model. We find that under uniform tectonic and variable climatic forcing, connectivity peaks at mid-elevations when the landscape reaches its geomorphic steady state and that the orographic effect on geomorphic evolution tends to favour lower connectivity on leeward-facing catchments. Statistical comparisons between connectivity distribution and results from a metacommunity model confirm that to the 1st order, landscape elevation connectivity explains species richness in simulated mountainous regions. Our results also predict that low-connectivity areas which favour isolation, a driver for in situ speciation, are distributed across the entire elevational range for simulated orogenic cycles. Adjustments of catchment morphology after the cessation of tectonic activity should reduce speciation by decreasing the number of isolated regions.
Machining Part Program Optimization through an Advanced Multidisciplinary Procedure

In the production of aerospace engine components, metal cutting processes are characterized by a strong demand for increased productivity that does not compromise the high quality of the product. The antithesis stands in the fact that it is necessary to maximize the feed rate and cutting velocity in order to reduce the processing time without compromising the quality of the worked component. In aerospace machining applications on hard-cut materials like: nickel based alloys, titanium alloys, etc, it is fundamental to keep under control the local cutting zone phenomena in order to assure the final product quality. The machining process design development can be summarized by the following steps: definition and verification of the Part Program (PP) through dedicated CAD–CAM software applications, post processing of the produced PP, CNC machine simulation and physical tryout. A further development of this procedure foresees the application of the kinematic optimization to improve the cutting process with a significant time reduction through the optimization of material removal along tool path. In this study a new multidisciplinary procedure is proposed. The aim of the authors is to modify the operation parameters set in the already kinematically optimized PP according to the constraints arising from the physical nature of the cutting process obtained by FEA. A milling operation that include the use of rough and finish tools related to an aeronautical engine component made by Inconel 718 has been chosen to test the developed methodology. The aims of the procedure is to minimize the execution time of the cutting process in compliance to physical micro-scale constraints (maximum admissible cutting edge temperature and maximum admissible Cutting Forces). This foresees the integration of the CAM softwares: Vericut for tool-path verification and Optipath for kinematic optimization of the given PP in the iSIGHT model. The procedure automatically extracts the values of feed and speed in all the blocks of the PP, which have been kinematically optimized, to verify if they respect upper limits (previously set) of: analyzed responses. In the PP blocks where the physical constraints are violated, a Pointer algorithm it has been used to automatically identify the optimal set of the process parameters within the defined design space of the approximation models in order to respect the required physical constraints. The new set of process parameters has been updated into the blocks of the analyzed PP.
A dynamical-statistical weather generator for past and future climate

Data from global and regional climate models usually refer to grid cells and are, hence, basically different from station data. This particularly holds for variables with enhanced spatio-temporal variability like precipitation. On the other hand, hydrological models require atmospheric data with the statistical characteristics of station data in order to simulate a realistic hydrological cycle as well as other soil and surface processes like for instance erosion rates. Here, we present a dynamical-statistical tool to construct virtual station data based on regional climate model output in tropical West Africa. This weather generator (WEGE) incorporates daily gridded rainfall from the model, an orographic term and a stochastic term, accounting for the chaotic spatial distribution of local rain events within the model grid box. Total sums and the probability density function (PDF) of daily precipitation are adjusted to available station data in Benin. It is also assured that the generated data are still consistent with other model parameters like cloudiness and atmospheric circulation. The resulting virtual station data are in excellent agreement with various observed characteristics, which are not explicitly addressed by the WEGE algorithm. This holds for the mean daily rainfall intensity and variability, the relative number of rainless days and the scaling of precipitation over different time scales. The WEGE is once applied to a recent 25-year simulation period and once to time slices of future African climate, assuming enhanced greenhouse conditions and ongoing land degradation until 2025. Besides precipitation, other variables like temperature, wind velocity and relative humidity are adjusted to the location of the rain gauge stations in Benin. The combined forcing scenario causes a reduction in total rainfall amount and an increase in near-surface temperature at all stations in Benin. The virtual present-day and future station data are finally used as input for the SWAT2003 (soil water assessment tool) model in order to evaluate the usability of the presented WEGE for hydrological applications. RESULTS SWAT2003 . Paeth et al.: A dynamical-statistical weather generator for past and future climate 2
PRODUCT ARCHITECTURE MODULARITY STRATEGIES:

The focus of this paper is to integrate various perspectives on product architecture modularity into a general framework, and also to propose a way to measure the degree of modularization embedded in product architectures. Various trade-offs between modular and integral product architectures and how components and interfaces influence the degree of modularization are considered. In order to gain a better understanding of product architecture modularity as a strategy, a theoretical framework and propositions are drawn from various academic literature sources. Based on the literature review, the following key elements of product architecture are identified: components (standard and new-to-the-firm), interfaces (standardization and specification), degree of coupling, and substitutability. A mathematical function, termed modularization function, is introduced to measure the degree of modularization embedded in product architectures, by taking the key elements as the main variables. Various managerial and theoretical implications of the modularization function are drawn. For instance, the function can be used as a framework to aid to examine various leveraging forces behind new product development, manufacturing, and supply chain management policies of a firm. The modularization function also allows us to study the implications of modularization from different theoretical perspectives, such as resource-based view of the firm and transaction cost economics. Finally, the application of the modularization function and its limitations are discussed.