Miracle-dz/UniFAR-FTUs huggingface dataset:
Forensic Facial Reconstruction under Test

Forensic facial reconstruction - rebuilding the face of an individual from skeletal remains for the purpose of identification is, of course, the most unscientific of all the vast array of forensic techniques now available to aid the identification of an individual, but sometimes, especially concerning skeletal remains buried for long periods, a facial reconstruction can still be helpful. I do not intend this paper to be a technical overview on the methodology of facial reconstruction, it centres on the interesting proposition: if several people carried out a facial reconstruction of the same person, would the end products look like each other and, would they be identifiable as the person in life whose face they were attempting to reconstruct? I came to facial reconstruction through my background in archaeology and so my reconstructions were of archaeological remains before I became interested in facial reconstruction techniques for forensic use. Having been asked by the University of Cambridge, UK if I would run a series of training courses at their Institute for Continuing Education at Madingley, I decided the courses would be a great way to test and refine reconstruction techniques. On each course 15 students were given an identical skull cast, tissue depth data set, tool kit, clay and step by step instructions. The big question was, if the course participants failed to produce reconstructions that were identifiable as the same person, what could be improved in terms of methodology to make the system of working more reliable?
LOD +: augmenting LOD with skeletons

Until now computer graphic researchers have tried to solve visualization problems introduced by the size of meshes. Modern tools produce large models and hardware is not able to render them in full resolution. For example, the digital Michelangelo project extracted a model with more than one billion polygons. One can notice hardware has become more and more powerful but meshes have also become more and more complex. To solve this issue, people have worked on many solutions. We can find solutions based on space subdivision, or based on visibility of objects like the use of a Z-buffer. But in 1976, Clark [Clark 1976] introduces the level of detail concept (LOD). The principle of LOD is the construction of several versions of the same 3D model at different resolutions. This is achieved by removing some object features. Luebke provides in [Luebke 1997] a very complete survey of LOD algorithms. The main issue with the simplification is that the mesh does not preserve appearance of the original mesh. Indeed, important features tend to disappear. For example, with the Quadric Error Metrics (QEM) algorithms and the cow mesh, the tail, horn and other characteristic points merge with the mesh at a low resolution. Our approach allows the simplified mesh to preserve important details.
Readmission After Ileostomy Creation mmon and Significant Event Retrospective Review of a Co

Objective: To evaluate causes and predictors of readmission after new ileostomy creation. Background: New ileostomates have been reported to have higher readmission rates compared with other surgical patients, but data on predictors are limited. Methods: A total of 1114 records at 2 associated hospitals were reviewed to identify adults undergoing their first ileostomy. Primary outcome was readmission within 60 days of surgery. Multiple logistic regression was used to identify independent predictors; area under the receiver-operator characteristic curves (AUC) were used to evaluate age-stratified models in secondary analysis. Results: In all, 407 patients underwent new ileostomy; 58% had cancer, 31% IBD; 49% underwent LAR, 27% colectomy, and 14% proctocolectomy. Median length of stay was 8 days. Among the patients, 39% returned to hospital, and 28% were readmitted (n 1⁄4 113) at a median of 12 days postdischarge. The most common causes of readmission were dehydration (42%), intraperitoneal infections (33%), and extraperitoneal infections (29%). Dehydration was associated with later, longer, and repeated readmission. Independent significant predictors of readmission were Clavien-Dindo complication grade 3 to 4 [odds ratio (OR) 6.7], Charlson comorbidity index (OR 1.4 per point), and loop stoma (OR 2.2); longer length of stay (OR 0.5) and age 65 years or older (OR 0.4) were protective. Cohort stratification above or below age 65 revealed that older patient readmissions were more predictable (AUC 0.84) with more preventable causes, whereas younger patient readmissions were difficult to predict or prevent (AUC 0.65). Conclusions: Readmissions are most commonly caused by dehydration, and are predicted by serious complications, comorbidity burden, loop stoma, shorter length of stay, and age. Readmissions in older patients are easier to predict, representing an important target for improvement.
Thermal profiling of residential energy consumption

Demand Response (DR) programs aim to dynamically match consumption on the grid with available supply in real-time. Understanding the patterns in demand of individuals is now being facilitated by granular consumption data collected via smart meter sensors that power utility companies have rolled out at scale. In this paper we propose a dynamic model that uses hourly electricity and weather readings to characterize residential users’ thermally-sensitive consumption. From this model we extract useful benchmarks to build profiles of individual users for use with DR programs that focus on temperature-dependent consumption such as air conditioning or heating. We present example profiles generated using our model on real consumers, and show its performance on a large sample of residential users. We then compute metrics that allow us to segment the population dynamically for the purpose of a thermally-motivated DR program. We show that such segmentation and targeting of users may offer savings exceeding 100% of the current performance of such programs.
Investigation of the OpenCL SYCL Programming Model

OpenCL SYCL is a new heterogeneous and parallel programming framework created by the Khronos Group that tries to bring OpenCL programming into C++. In particular, it enables C++ developers to create OpenCL kernels, using all the popular C++ features, such as classes, inheritance and templates. What is more, it dramatically reduces programming effort and complexity, by letting the runtime system handle system resources and data transfers. In this project we investigate Syclone, a prototype SYCL implementation that we acquired from Codeplay Ltd. To do that we compare SYCL in terms of both programmability and performance with another two established parallel programming models, OpenCL and OpenMP. In particular, we have chosen six scientific applications and ported them in all three models. Then we run benchmarking experiments to assess their performance on an Intel Xeon Phi based platform. The results have shown that SYCL does great from a programmability perspective. However, its performance still does not match that of OpenCL or OpenMP.
A MapReduce Framework for Mining Maximal Contiguous Frequent Patterns in Large DNA Sequence Datasets

Abstract Current DNA sequence datasets have become extremely large, making it a great challenge for single-processor and main-memory-based computing systems to mine interesting patterns. Such limited hardware resources make the performance of most Apriori-like algorithms inefficient. However, recent implementation of a MapReduce framework has overcome these limitations. Furthermore, mining with maximal contiguous frequent patterns to express the function and structure of DNA sequences is a useful technique, capable of capturing the common data characteristics among related sequences. In this paper, we proposed an efficient approach for mining maximal contiguous frequent patterns in large DNA sequence data using MapReduce framework which can handle a massive DNA sequence datasets with a large number of nodes on a Hadoop platform. Our extensive experimental results show that the proposed approach can mine the complete set of maximal contiguous frequent patterns very efficiently.
UNDERGRADUATE STUDENTS ATTITUDES ON THE USE OF COMPUTERS IN EDUCATION

The first aim of this study was to determine undergraduate students’ attitudes on the use of computers in education. A questionnaire as survey was administered to 156 undergraduate students in two departments - the Department of Educational Sciences, and the Computer and Educational Technologies - at Canakkale Onsekiz Mart University during the fall 2003 semester. A second aim of the study was to determine whether there were differences in attitude between the two groups on the use of computers in education. Of the 156 students, 90 were from the Department of Educational Sciences and 66 were from the Department of Computer and Educational Technologies. According to the top 5 attributions ranked by students, computers: 1-Individualize learning, 2-Are self-paced, 3Allow students to work privately, 4-Are fun and entertaining, and, 5-Are excellent for drill and practice. These attributions were the reasons of using the computers in education. We found 9 attributions in which there was a
Using background knowledge to improve text classification

Automatic text categorizers use a corpus of labeled textual strings or documents to assign the correct label to previously unseen strings or documents. Often the given set of labeled examples, or “training set”, is insufficient to solve this problem. Our approach to this problem has been to incorporate readily available information into the learning process to allow for the creation of more accurate classifiers. We term this additional information “background knowledge. ” We provide a framework for the incorporation of background knowledge into three distinct text classification learners. In the first approach we show that background knowledge can be used as a set of unlabeled examples in a generative model for text classification. Using the methodology of other researchers that treat the classes of unlabeled examples as missing values, we show that although this background knowledge may be of a different form and type than the training and test sets, it can still be quite useful. Secondly, we view the text classification task as one of information integration using WHIRL, a tool that combines database functionalities with techniques from the information-retrieval literature. We treat the labeled data, test set and background knowledge as three separate databases and use the background knowledge as a bridge to connect elements from the training set to the test set. In this way, training examples are related to a test example in the context of the background knowledge. Lastly, we use Latent Semantic Indexing in conjunction with background knowledge. In this case background knowledge is used with the labeled examples to create a new space in which the training and test examples are redescribed. This allows the system to incorporate information from the background knowledge in the similarity comparisons between training and test examples.
IMPORTANCE OF THE CONNECTING PLATES IN A WELD CONNECTED SYSTEM AND THEIR DESIGN BY CATIA

This study is related with the design of connecting plates in a weld connected construction and the impact of such added connecting plates onto the resistance of the construction. Design has been accomplished through observing and ensuring that the weld joining lines and plates are integrated with the construction. Utilization of the plates as the auxiliary installation element has been also targeted. Design of the connecting plates has been realized under a true and perfect engineering application. Compiling of a task list, its preference on the construction of standard profiles, welding process, choice of welding method, weld-end opening and unopened condition on the welding process, design in conformity with the production facility, computerized stress analyses are the basic phases of the present application. The engineering application by which the study has been realized; It is an operation that an industrial type electrical chamber cooling unit is included in the existing process by means of a carrier construction. The construction which carries the cooler/refrigerator has been designed in strict compliance with the layout plan. The present construction has been designed, modeled and manufactured by CATIA; and it has been already used.
Preventing the diffusion of negative information based on local influence tree

In the social network, competitive influence spread is the problem of finding positive seed vertices that propagate information so as to minimize the influence spread of negative vertices. However, the existing heuristic methods need to be further improved. Therefore, we devote to prevent the diffusion of negative information under the competitive independent cascade (CIC) model. In this paper, we propose a new way to tackle the competitive influence problem, referred to as local influence tree (LIT). We carry out experiments on the real-world datasets, the experiments have verified the effectiveness of the proposed methods compared to the baseline methods.
MODELS OF SPEECH PRODUCTION MECHANISMS

Human speech production involves successive actions of biological and physical mecha nisms,and they generate linguistic,neurophysiological,biomecanical,and acoustic phenomena. Aspects of the complex system have been crystalized into a variety of models in search of better understanding of speech communication processes.This review reports the existing computational and conceptual models by meany researchers,that are selected from a physiologi cal point of view.They include peripheral components,integrated articulatory systems,motor control schemas,and models of higher brain organization.
Landing technique affects knee loading and position during the stop phase of run-to-stop maneuvers

Many non-contact Anterior Cruciate Ligament (ACL) injuries in female basketball athletes occur during Run-To-Stop (RTS) maneuvers. However, no study has quantified the effect of landing technique on lower extremity biomechanics in RTS tasks frequently utilized during basketball events. The objective of this study was to evaluate the effects that the landing techniques have on lower extremity biomechanics during stop phase of RTS maneuvers. Twenty (20) healthy female collegiate basketball athletes used either a forefoot or rearfoot landing technique to perform RTS maneuvers. Biomechanical variables of the non-dominant leg were measured and analyzed during the stop phases of RTS maneuvers. Subjects presented increased peak knee flexion angle (P =0.047) and peak knee extension moment (P =0.029) during the stop phase of RTS maneuvers using rearfoot landing technique as compared to forefoot landing technique. The rearfoot landing technique increased knee extension moment, which can potentially place a higher strain on the ACL. Forefoot landing technique may be targeted in ACL injury prevention programs.
FLAC 3 D mesh and zone quality

Mesh quality is crucial for the stability, accuracy, and fast convergence of numerical simulations. However, given the geometrical complexity of some models and the tools available for mesh creation, it is often necessary to accept meshes that deviate significantly from the known ideal shape. Since mesh generation can be a very time-consuming process, it is also necessary to be able to judge if a given mesh will perform well enough for a given model or if more effort needs to be made to improve its quality. There are many well-understood rules of thumb for judging mesh quality in Finite-Element applications, but these rules do not apply to the Lagrangian finite-volume with mixed-discretization approach used by FLAC 3D zones. The goal of this study is to determine simple metrics that allow a user to judge how deformed the initial shape of FLAC 3D zones can be before they begin to significantly affect the quality of the solution. Continuum and Distinct Element Numerical Modeling in Geomechanics -2013 -Zhu, Detournay, Hart & Nelson (eds.) Paper: 11-02 ©2013 Itasca International Inc., Minneapolis, ISBN 978-0-9767577-3-3
COMPARATIVE PLACENTATION , EPITHELIAL PLASTICITY AND THE ‘ EFFICIENT BARRIER HYPOTHESIS ’

—This short review was presented as part of the symposium: “Reproduction in reptiles: from genes to ecology” at the 6 International Congress of Herpetology and its purpose was to provide a broader, including mammalian, perspective on viviparity in reptiles. The types of placentas found in mammals are much more varied in terms of foetal penetration into uterine tissue than those seen in any other taxon, including squamates. Viviparity and complex placentas have evolved multiple times in squamates, but only once in mammals. Notwithstanding this difference in placental types, many changes in uterine epithelial cells are quite similar during early placentation in mammals and squamates and moreover, the mechanisms of change in the plasma membranes of these groups are particularly similar. This remarkable ‘epithelial plasticity’ suggests a new explanation for placental diversity, or lack of it, in different lineages and is termed the “Efficient Barrier Hypothesis”.
On the Ontological Status of Visual Mental Images

There has long been considerable controversy over the ontological status of mental images. Most recently, members of the A.I. community have argued for the sufficiency of "propositional representation" and have resisted the notion that other sorts of representations are functional in the human mind. The purpose of this paper is to review what I take to be the best evidence that images are distinct functional representations in human memory. Before reviewing these data, however, I offer a preliminary definition of what I mean by a "visual mental image. " This definition arises out of the "cathode ray tube" metaphor originally introduced in Kosslyn (1974, 1975, 1976) and later implemented in a computer simulation by Kosslyn & Shwartz (1977a, in press). On this view, images are spatial representations in active memory generated from more abstract representations in Long-term memory; these spatial representations are able to be interpreted ("inspected") by procedures that classify them into various semantic categories. 1.0 A preliminar 7 definition of a visual mental image I wish to define a "visual mental image" in terms of five basic kinds of properties. Images are often distinguished from more discrete, propositional or linguistic representations because they supposedly have "analogue" properties. Thus, the first two properties noted below describe analogue representations as a class. Goodman (1968), Palmer (in press), Shepard (1975), Sloman (1975), and others have provided informative and detailed discussions of relevance here, and I will draw freely on these sources in the present discussion. 1) Images can capture continuous variations in shape. This continuity
Optimal Monetary Policy Shifts in Brazil : Lessons From a Markov-switching DSGE Structure

This paper first explores possible structural changes that may have occurred in the Brazilian economy. We find evidences in favour of shifts in the monetary policy stance, moving from a Dove to a Hawk regime in 2003, as well as evidences of more volatile external shocks during uncertainty periods. We further derive optimal monetary policy rules under distinct model specifications with Markov-switching elements. It is possible to find an optimal rule that is successful in stabilizing inflation, output and exchange rates, whilst keeping interest rates stable. We also discuss the standard deviation dynamics of important target variables and illustrate a number of macroeconomic trade-offs in the Brazilian economy. JEL codes: E31, E58, C11, C51
Spatial Channel Sounder for MU-MIMO Emulation

This paper presents a versatile spatial Vector Network Analyzer (VNA) channel sounder exploiting a four axis positioner and optical transposition devices which allows a large separation between Tx and Rx antennas. To illustrate its versatility, the channel sounder can be used over several frequency bands of interest for the development of future multi antenna systems. This channel sounder allows to acquire a large number of static channel matrices through a properly sampled region of space in order to retrieve the time-varying behavior of the MIMO and MU-MIMO channel. An indoor LOS 4×8 MIMO channel measurement data acquired in a small room along a 0.7m translation is presented to illustrate the capabilities of the sounder.
DESIGN AND FABRICATION OF A SELF-POWERED SOLAR TRACKER

To get the maximum energy from sunlight, we need to track down the sunlight. This paper represents detail information and design about a sunlight tracker. This system is fully mechanical and adapts a selfpowered mechanism. Due to the immobile nature of solar panels the amount of energy produced by most photovoltaic (solar) panels is low. However, when photovoltaic panels track the movement of the sun their efficiency increases significantly. The aim of this research is to design and build a device that adapts a mechanism to continually turn its face toward the Sun. The total system works with fluid pressure. Fluid such as methyl spirit which has low boiling temperature is used to create the fluid pressure. This pressure works as a lifting force for pistons that helps to rotate the whole arrangement towards the sun. Since the fluid pressure is created by the sun light itself, we say it a self-powered mechanism. The experimental result shows that the physical setup can move from East to West following the Sun as the day progresses, which suggest the usefulness of the methos proposed in this paper.
Diverse learning abilities and challenges

It is important for educators and education planners at all levels to understand students’ diverse cognitive abilities and challenges. Teachers need to be competent in addressing particular types of learning challenges while encouraging the growth of high ability learners. It is also important to consider the learning impacts of mainstreaming and grouping students based on abilities, and the implications that theories of learning have for assessment.
Session VIII-1 Li-and Na-Intercalation into Graphite studied by in-situ EC-STM

In these days, various types of scanning probe microscopes (SPM), including atomic force microscopes, have become essential instruments for nanotechnology research. These SPMs consist essentially of a nano-stage for precision positioning, with the exception of heads that measure most of the properties. However, the high price of a precision positioner causes the increasing of the price of the entire device and hinders the popular spread of SPM. Therefore, we tried to develop a platform in which researchers could produce various types of SPM, and as a result, we made nano-stage in laboratory using 3d printing technology and piezo buzzers. And we fabricated the atomic force microscope (AFM) by applying the AFM head made by using the optical pickup unit to the developed platform, and successfully obtained the image of the standard specimen. The developed platform is expected to provide the opportunity for researchers to fabricate various types of their own SPMs, and it will be a good educational tool for students to fabricate and understand SPMs.