Miracle-dz/UniFAR-FTUs huggingface dataset:
Bayesian Analysis for Food-Safety Risk Assessment: Evaluation of Dose-Response Functions within WinBUGS

Bayesian methods are becoming increasingly popular in the field of food-safety risk assessment. Risk assessment models often require the integration of a dose-response function over the distribution of all possible doses of a pathogen ingested with a specific food. This requires the evaluation of an integral for every sample for a Markov chain Monte Carlo analysis of a model. While many statistical software packages have functions that allow for the evaluation of the integral, this functionality is lacking in WinBUGS. A probabilistic model, that incorporates a novel numerical integration technique, is presented to facilitate the use of WinBUGS for food-safety risk assessments. The numerical integration technique is described in the context of a typical food-saftey risk assesment, some theoretical results are given, and a snippet of WinBUGS code is provided.
The Lore of Religious Festivals among the Yoruba and Its Social Relevance

Religious practices, ceremonies and festivals are part of folk heritage. They are essential materials in culture that circulate traditionally among members of any group in different versions. Festivals are occasion of public manifestation of joy or the celebration of a historical occurrence such as the role of Olumo rock in the victory of the Egbas. Culture and information about a particular community are often being transmitted through the songs, music and other activities that go with the festivals. The traditional festivals today are to a large extent seen by some as idol worship because of the deities associated with the festivals while some elites see the festivals as occasions that promote vices such as stealing, fighting, immorality, casting spell (by trying newly discovered charms/juju) on people. Hence many educated (Christians and Muslims) would not participate in these festivals. The festivals however are still very relevant as they provide a rallying point for people in a particular society, create cultural awareness and avenue of getting a practical experience of the people’s customs, their way of life and their belief systems. The paper is, thus, an attempt to bring to fore the social significance of religious festivals.
OPTIMASI PENCELUPAN KAIN BATIK KATUN DENGAN PEWARNA ALAM TINGI (Ceriops tagal) DAN INDIGOFERA Sp

Pencelupan menggunakan zat warna alam pada proses pembuatan batik dilakukan berulang kali agar dihasilkan warna yang kuat. Sedangkan, penyerapan warna oleh serat kain dibatasi oleh kejenuhan serat. Pencelupan berulang tanpa memperhatikan hasil yang diperoleh dapat menambah biaya, tenaga, dan waktu proses pewarnaan. Penelitian ini bertujuan untuk mendapatkan pengulangan pencelupan yang optimum dalam menghasilkan warna kain batik katun yang kuat. Penelitian dilakukan menggunakan media kain katun, zat warna alam tingi dan indigofera, serta bahan fiksasi kapur, tunjung, dan tawas. Pewarnaan dilakukan secara berulang masing-masing 5, 8, 11, dan 14 kali pencelupan. Fiksasi warna tingi dengan menggunakan tawas, kapur, dan tunjung dilakukan setelah proses pewarnaan. Pengujian pada kain katun batik meliputi ketahanan luntur warna terhadap sinar matahari dan pencucian, serta uji beda warna (L*a*b*). Hasil penelitian menunjukkan bahwa kondisi optimum pencelupan untuk memperoleh arah warna coklat tua/gelap menggunakan pewarna alami tingi dengan fiksasi tunjung adalah 5 dan 8 kali pencelupan, untuk tawas 11 kali pencelupan. Fiksasi dengan tunjung menghasilkan warna kain katun batik lebih tua apabila dibandingkan dengan fiksasi tawas. Perlakuan optimum dalam pencelupan menggunakan pewarna alam indigofera pada kain katun batik adalah sebanyak 8 kali pencelupan dengan hasil arah warna biru paling kuat. Kata Kunci : pencelupan, batik, warna alam, tingi, indigofera
Critical temperature enhancement of topological superconductors: A dynamical mean-field study

We show that a critical temperature Tc for spin-singlet two-dimensional superconductivity is enhanced by a cooperation between the Zeeman magnetic field and the Rashba spin-orbit coupling, where a superconductivity becomes topologically non-trivial below Tc. The dynamical mean field theory (DMFT) with the segment-based hybridization-expansion continuous-time quantum Monte Carlo impurity solver (ct-HYB) is used for accurately evaluating a critical temperature, without any Fermion sign problem. A strong-coupling approach shows that spin-flip driven local pair hopping leads to part of this enhancement, especially effects of the magnetic field. We propose physical settings suitable for verifying the present calculations, one-atom-layer system on Si(111) and ionic-liquid based electric double-layer transistors (EDLTs).
A general approach to multiprocessor scheduling

As a variety of general-purpose multiprocessor systems have been recently designed and built, multiprocessor scheduling is becoming increasingly important. Multiprocessor scheduling is a technique to exploit the underlying hardware in a multiprocessor system so that parallelism existing in an application program can be fully utilized and interprocessor communication time can be minimized. Traditionally, most research on multiprocessor scheduling has focused on the development of specific scheduling strategies to take advantage of unique characteristics of a specific multiprocessor system or application program. In this thesis, we define and characterize scheduling techniques and related heuristic mapping algorithms which are applicable to a spectrum of multiprocessor systems and a broad class of application programs. The fundamental idea we use is that multiprocessor scheduling can be regarded as a series of mappings from a computation graph (representing an application program) to a virtual architecture graph (representing an optimal architecture for the program) and eventually to a physical architecture graph (representing a target multiprocessor system). We propose linear clustering and linear cluster merging as effectual heuristics. After linear clustering and merging, the computation graph is transformed into a virtual architecture graph. This graph represents an optimal architecture which compromises between two conflicting goals, minimization of interprocessor communication and maximization of potential parallelism, and satisfies the other goals, throughput enhancement and workload balance, relatively well. Then we develop two efficient scheduling algorithms which map the optimal architecture graph onto a physical architecture graph which may represent either a homogeneous or a heterogeneous multiprocessor system. These algorithms rely not only on local information but also on limited global information. Finally, we present the result of performance evaluation of the mapping algorithms on an Intel iPSC with 32 processors and a Sequent Balance with 10 processors.
The design and evaluation of distributed virtual environment to support learning in global operations management

The primary goal of this research is to design and develop an education technology to support learning in global operations management. The research implements a series of studies to determine the right balance among user requirements, learning methods and applied technologies, on a view of student-centred learning. This research is multidisciplinary by nature, involving topics from various disciplines such as global operations management, curriculum and contemporary learning theory, and computer aided learning. Innovative learning models that emphasise on technological implementation are employed and discussed throughout this research.
Impedance mismatch of business process modeling and object-oriented implementation

Many new software development environments are a mixture of complex object based graphical user interfaces sitting on top of traditional RDBMSs. Software engineers and students need to understand both the traditional relational techniques and the object-oriented paradigms. This paper discusses the techniques used to model business processes in both paradigms and indicates a problem that has been observed when implementing these in an object-oriented environment.
An Systematic Overview On Cloud Computing and Load Balancing in the Cloud

Cloud Computing (or cloud for short) is a compelling technology. Cloud computing is emerging as a new paradigm of large-scale distributed computing. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. This paper consists the concepts of cloud computing and some of the methods of load balancing in large scale Cloud systems. Our aim is to provide an evaluation and comparative study of these approaches, demonstrating different algorithms for load balancing and to improve the different performance parameters like throughput,response time,latency etc. for the clouds.
Approximation of 3D Face Model

The approximation of a 3D face model is considered very promising in the recognition of individuals. However, the challenges are open today: the robustness of these 3D approaches to change facial expressions and optimization of computation time required in the scenarios identified. In this paper, we present a complete solution for the extraction of a 3D model of face and its 3D position from a small number of pairs of landmarks 2D-2D and 2D-3D matching. This extraction step is considered as an initialization method for face tracking based on the 3D model. The solution is divided in two steps. The first step recovers an approximation of the 3D face model, the second step deals with the improvement of this 3D face model and the pose extraction. Our solution is robust, fast and sufficiently descriptive.
The role of clinical guidelines for chronic fatigue syndrome/myalgic encephalomyelitis in research settings

Background: Chronic fatigue syndrome, also known as myalgic encephalomyelitis (CFS/ME) is a particularly difficult illness to identify. To aid in classifying patients for research as well as clinical care, potential cases may be evaluated according to clinical guidelines. Purpose: The purpose of this paper is to provide an overview of three sets of guidelines currently available: the Centers for Disease Control and Prevention (CDC) Toolkit; the International Association for Chronic Fatigue Syndrome/Myalgic Encephalomyelitis (IACFS/ME) Primer; and the International Consensus Primer. Methods: These guidelines were examined and compared with respect to required symptoms, laboratory and investigative protocols, and exclusionary and comorbid conditions. The comparisons were also intended to evaluate the guidelines in light of new research that advances the clinical understanding of CFS/ME and assists in identifying patients. Results: Guidelines vary significantly in the symptoms and comorbidities considered in light of the differing symptom requirements of three case definitions. There is also no specification on how symptoms should be measured, contributing to the significant heterogeneity found in CFS/ME. Conclusions: Further revision of clinical guidelines, preferably based on a definition that is well-informed by current empirical studies, is recommended to ensure that guidelines are applied with consistency and understanding in both research and clinical settings.
Investigating post-completion errors with the Alloy Analyzer

Post-completion errors are a particular kind of error found in interactive systems. This type of error occurs through the incorrect sequencing of goals and sub-goals, when the primary goal is achieved before all of the prequisite sub-goals have been satisfied. This paper shows how we can check for this property in a formal model of an interactive system. Specifically, we suggest that lightweight formal methods, such as the Alloy structural modelling language, are particulary well suited for this task. As a case study we develop two example interactiv e systems. The first is the ubiquitous chocolate machine, where both the chocolate and change must be delivered to the customer. The second model is of a typical cash machine and explores the problems of returning the cash and the cash card in the correct order. Both of these models are developed in the Alloy language.
Schema Pointer plus Tag Model and Interior Design

The present study was a test of two theoretical models which attempt to explain memory for interior designs. One model proposed by Brewer and Treyens predicted better memory performance for typical items while a Schema Pointer Plus Tag model predicted better memory performance for atypical. Ten scenarios or verbal descriptions of specific rooms and commercial establishments were presented to 40 subjects. These scenarios contained items generated and then rated on typicality to the scenario by two previous groups of subjects. Recognition ratings were then performed by the group which was presented with the scenarios immediately after presentation. Hit and false alarm rates were computed along with d' scores as a measure memory retention. ANOVAs were computed with typicality of the items as the independent variable with hit rates, false alarm rates and d' scores as the dependent measures for each. The data confirmed the Schema Pointer Plus Tag model proposed by Graesser (1981). Further research and implications for interior design are discussed.
Museum Review: Around the Temple: The New Galleries of the Capitoline Museum

A series of important renovations in the Capitoline Museum in Rome was designed to improve the viewer's appreciation of the museum's extraordinary collections and the Capitoline Temple of the Tarquins, a major monument that lies under the building. New exhibition spaces and the refurbishment of older ones follow the reopening of the Tabularium and the gallery behind it in 2000. This review traces the recommended percorso of the new areas, starting with the rooms on the south side of the Palazzo dei Conservatori that
An Analytic Model of SMC Performance

Memory bandwidth is becoming the limiting performance factor for many applications, particularly scientific computations.Access ordering is one technique that can help bridge the processor-memory performance gap. We are part of a team developing a combined hardware/software scheme for implementing access ordering dynamically at run-time. The hardware part of this solution is the Stream Memory Controller, or SMC. In order to validate the SMC concept, we have conducted numerous simulation experiments, the results of which are presented elsewhere. Here we develop an analytical model to bound SMC performance, and demonstrate that the simulation behavior of our dynamic access-ordering heuristics approaches that bound. An Analytic Model of SMC Performance Sally A. McKee Department of Computer Science University of Virginia Charlottesville, VA 22903 mckee@cs.virginia. edu An Analytic Model of SMC Performance 1 An Analytic Model of SMC Performance
Photometric observations and preliminary modeling of type IIb supernova 2011dh

CCD UBVRI photometry is presented for type IIb SN 2011dh for about 300 days. The main photometric parameters are derived and the comparison with SNe of similar types is reported. The light curves are similar to those for SN IIb 2008ax, but the initial flash is stronger and very short, and there are humps on the light curves in U and B at the onset of linear decline. Preliminary modeling is carried out, and the results are compared to the quasi-bolometric light curve and to the light curves in UBVRI bands.
Expert system development in nursing: implications for critical care nursing practice.

OBJECTIVE To obtain information about how highly experienced critical care nurses reason to plan care and make decisions about a critically ill unstable patient, and to determine the usefulness of this information for expert system development. DESIGN Descriptive, using think-aloud technique and protocol analysis. SETTING Laboratory. PATIENT A simulated patient case whose condition deteriorated over a 12-hour shift. The case depicted an elderly female with congestive heart failure and atrial fibrillation with rapid ventricular response. RESULTS Protocol analysis revealed the information (data) that subjects used and how they structured that information to plan care and make decisions. Examination of subjects' reasoning processes allowed the investigators to identify "if-then" rules that could be used in expert system design. CONCLUSIONS The reasoning processes identified would assist in expert system development. An expert system designed to represent experienced critical care nurses' knowledge and reasoning processes would preserve that expertise in a computer system that could then be used to assist less experienced nurses to improve their reasoning skills and strategies.
A novel downlink beamforming scheme for FDD/SDMA systems

When beamforming is employed in the uplink without feedback channel, the beam pattern for the downlink can be generated using the weight used for uplink beamforming. However, this scheme may result in significantly performance degradation in the frequency division duplex (FDD) because of carrier frequency offset between the uplink and downlink. In this paper we propose a novel downlink beamforming algorithm based on least square method with some constraint points which have same gain in the up/downlink beam pattern. From the constraint points, we generate downlink weight and also propose how to choose the constraint points in order to satisfy the desired signal-to-interference power ratio. Simulation results show that the proposed method can sufficiently reduce the interference from other space division multiple access (SDMA) signals, providing interference-free spatial channel.
Fundamentals of Media Effects

"Fundamentals of Media Effects" is a readable scholarly text geared to undergraduate students in the media effects course. The book is divided into three sections. Section 1, "Overview and History", provides historical evidence for media effects and for societal concern about media effects. Section 2, "Theory and Concepts", includes the concepts and theories that serve as the basis for different types of media effects research. The final section, Section 3, "Key Areas of Research", delves into the specific areas of inquiry.
SrTiO3 on piezoelectric PMN-PT(001) for application of variable strain

SrTiO3 (STO) is the most frequently used substrate material for complex oxide films. In this work, STO is explored as a buffer layer on piezoelectric pseudocubic Pb(Mg1/3Nb2/3)0.72Ti0.28O3(001) (PMN-PT) substrates which serve to reversibly strain thin films. The STO buffer layer reduces the in-plane lattice parameter and allows for better lattice matching to broader range of thin film materials. STO films (30 nm) have been grown with epitaxial orientation on PMN-PT with an in-plane lattice parameter close to that of bulk STO. The substrate`s rhombohedral domain structure has been imaged by Atomic Force Microscopy (AFM). The related ferroelectric domain structure has been investigated by Piezoresponse Force Microscopy (PFM). Within a domain, STO grows with rather low roughness (rms < 0.2 nm). The transfer of the piezoelectric substrate strain to the STO film and its variation with an applied electric field is studied by x-ray diffraction. The strain dependence of the electrical resistance is measured for a ferromagnetic manganite film grown on top of the STO. Both experiments confirm qualitatively that the STO buffer transfers the substrate strain into a functional film deposited on top.
LSSVM-Based Social Spam Detection Model

To Resolve the garbage tag issue in Folksonomy, Lssvm algorithm for social spam detection model (least Squares support vector machine classifiers) was proposed. The method of inequality change the constraints in the traditional support vector machine into equality constraints, and take the empirical function of the squared error loss function as the Experience function in training set. so that the quadratic programming problem convert QP into solving linear equations, it was improving solution the speed of solution and accuracy of convergence.The experimental results show that we have got higher classification accuracyand less predict time than traditional svm detection methods based on least squares support vector machine algorithm garbage tag detection model.
Weld Defect Detection of X-ray Images Based on Support Vector Machine

ABSTRACT Support vector machines (SVM) have received widespread attention for their excellent ability to learn, and have been applied in many fields. The application of SVM in weld defect defection of X-ray images is receiving more and more attention, which has led to the rapid development of weld defect detection automation. In this paper, a method of weld defect detection based on SVM is proposed. First, all potential defects are detected by a novel method based on grey-level profile analysis. Then three feature vectors are extracted from potential weld defects and used to train the SVM. Lastly, the trained SVM is used to distinguish real defects from potential defects. Results show that the proposed method can achieve a high correct defection rate.
Performance of a novel base station sub-system in a high-density traffic environment

One of the key issues of the mobile communication systems is to serve a large number of mobile users in a highly dense traffic environment while maintaining an acceptable quality of service (QoS). The existing systems are unable to fulfil such traffic requirements with acceptable QoS. In this paper we present the architecture of a novel base station sub-system (BSS). The proposed BSS is based on a distributed architecture. This enables the use of very efficient radio resource management (RRM) techniques. The system is evaluated in terms of traffic and carrier to interference ratio (CIR) and proves to provide high traffic figures with required QoS. Consequently, the proposed architecture is a possible solution for very high traffic density outdoor/indoor environments.
Simulating Spatial Market Share Patterns for Impacts Analysis of Large-Scale Shopping Centers on Downtown Revitalization

The decline of the downtown has been observed in many cities across the world. In response, many small cities in Japan, for example, have been making regeneration efforts including development controls on large-scale shopping centers. It is extremely useful to analyze the potential effects of relevant planning policies before implementation. We developed an urban planning support tool, a multiagent simulation (MAS) model called Shopsim-MAS, to investigate the impacts of some downtown revitalization policies through consequent spatial dynamics of shop market shares. We discuss methods to model household behavior and to understand the market area dynamics of shops. The Shopsim-MAS model developed in this project has proven to be a useful means to analyze the impact of downtown revitalization policies in Japan. It is also expected to be further expanded for impact analysis of similar or more sophisticated urban policies in other parts of the world.