Miracle-dz/UniFAR-FTUs huggingface dataset:
Lateralization of Receptive Language Function Using near Infrared Spectroscopy

In recent decades, functional magnetic resonance imaging (fMRI) has proven to be more effective than the Wada test in the evaluation of language lateralization in special populations such as epileptic patients and children. However, fMRI requires that subjects remain motionless during data acquisition, making the assessment of receptive and expressive language difficult in young children and population with special needs. Near-Infrared spectroscopy (NIRS) is a non- invasive technique that has proven to be more tolerant to motion artifacts. The aim of the present study was to investigate the use of NIRS to assess receptive language patterns using a story listening paradigm. Four native French-speakers listened to stories read aloud by a bilingual speaker in both French and Arabic. To determine if the signal recorded was affected by episodic memory processes, a familiar story and an unknown story were presented. Results showed that listening to stories in French elicited a significantly higher left lateralized response than listening to stories in Arabic, independently of the familiarity of the story. These results confirm that NIRS is a useful non-invasive technique to assess receptive language in adults and can be used to investigate language lateralization among children and epileptic patients slated for epilepsy surgery.
The effects of a model-eliciting activity on high school student design performance

Huffman, Tanner J. Ph.D., Purdue University, May 2015. The Effects of a Modeleliciting Activity on High School Student Design Performance. Professor: Dr. Nathan J. Mentzer. Modeling allows students to become more effective designers. High school technology and engineering students engage in engineering design challenges as part of traditional instructional practices. Model-eliciting activities (MEA) present students with opportunities to elicit mathematically thinking that facilitates modeling. Students (n=266) from four schools completed a model-eliciting activity (MEA) and design challenge procedure. The research design utilized a quasi-experimental method, post-test only, with homogenous matching comparison groups based on possible confounding variables. A rubric was used to measure student design performance. Students in the comparison group (n=124) completed a traditional design challenge and were assessed on their design performance. Students in the treatment group (n=142) completed a MEA, a traditional design challenge and were assessed on their design performance. An analysis of covariance (ANCOVA) was used in order to discover if the difference in average design challenge rubric score from comparison group (42.56) to the treatment group (45.18) was statistically significant. A one-way multiple analysis of covariance (MANCOVA) was used to indicate if the differences in student average scores in each rubric category were significant. The ANCOVA did not reveal statistically significant evidence supporting the research question with regard to overall design performance. The Pillai’s Trace
A Goal-Oriented Approach to Software Obfuscation

Summary Various software obfuscation techniques have been proposed. However, there are few discussions on proper use of these obfuscations against imaginable threats. An ad-hoc use of obfuscations cannot guarantee that a program is sufficiently protected. For a systematic use of obfuscations and the verification of the result, this paper proposes a goal oriented approach to obfuscation. Specifically, we (1) define the capability of an imaginary cracker, (2) identify the cracker’s goal, (3) conduct a goaloriented analysis, (4) select obfuscations to disrupt all subgoals, and (5) apply selected obfuscations to the program. As a case study, we define a security goal and a threat model for a Java implementation of a cryptomeria cipher (C2) program, and then, based on the model, we demonstrate how the goal oriented analysis is conducted and obfuscation techniques are applied to places where they are needed.
Keyword-Based Browsing and Analysis of Large Document Sets

Abstract Knowledge Discovery in Databases (KDD)focuses on the computerized exploration oflarge amounts of data and on the discovery ofinteresting patterns within them. While mostwork on KDD has been concerned withstructured databases, there has been littlework on handling the huge amount ofinformation that is available only inunstructured textual form. This paperdescribes the KDT system for KnowledgeDiscovery in Texts. It is built on top of atext-categorization paradigm where textarticles are annotated with keywordsorganized in a hierarchical structure.Knowledge discovery is performed byanalyzing the co-occurrence frequencies ofkeywords from this hierarchy in the variousdocuments. We show how this term-frequency approach supports a range ofKDD operations, providing a generalframework for knowledge discovery andexploration in collections of unstructuredtext. Introduction Traditional databases store large collectionsof information in the form of structuredrecords, and provide methods for queryingthe database to obtain all records whosecontent satisfies the user's query. Morerecently, however, researchers in KnowledgeDiscovery in Databases (KDD) haveprovided a new family of tools for accessinginformation in databases (e.g. Brachman etal, 1993; Frawley et al, 1991; Kloesgen,1992; Kloesgen, 1995b; Ezawa and Norton,1995). The goal of KDD has been defined as"the nontrivial extraction of implicit,previously unknown, and potentially usefulinformation from given data" (Piatetsky-Shapiro and Frawley 1991). Work in thisarea includes applying machine-learning andstatistical-analysis techniques towards theautomatic discovery of patterns in databases,as well as providing user-guidedenvironments for exploration of data.In Proceedings of the International Symposium on Document Analysis and Information Retrieval, 1996
Managerial style as a function of adult development stage.

MANAGERIAL STYLE AS A FUNCTION OF ADULT DEVELOPMENT STAGE FEBRUARY 1995 RONALD P. CORBETT, JR., A.B. , HARVARD UNIVERSITY M.S., NORTHEASTERN UNIVERSITY ED.D. , UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Maurianne Adams Contemporary assessments of management training efforts have generally found such efforts to be wanting, in failing to inculcate enduring changes in skills and capacities. Simultaneously, a variety of management theorists have pointed in the direction of cognitive complexity, sometimes described as "complicated understanding", as the key quality for successful managers. This study is concerned with the contribution that an explicitly developmental perspective can make to a better understanding of the dynamics of managing in an organizational setting. It draws on research conducted over the last two decades by a small group of researchers interested in the nexus of developmental psychology and management and aims to lend additional empirical support to
Genetic and Epigenetic Factors in Etiology of Diabetes Mellitus Type 1

Diabetes mellitus type 1 (T1D) is a complex disease resulting from the interplay of genetic, epigenetic, and environmental factors. Recent progress in understanding the genetic basis of T1D has resulted in an increased recognition of childhood diabetes heterogeneity. After the initial success of family-based linkage analyses, which uncovered the strong linkage and association between HLA gene variants and T1D, genome-wide association studies performed with high-density single-nucleotide polymorphism genotyping platforms provided evidence for a number of novel loci, although fine mapping and characterization of these new regions remains to be performed. T1D is one of the most heritable common diseases, and among autoimmune diseases it has the largest range of concordance rates in monozygotic twins. This fact, coupled with evidence of various epigenetic modifications of gene expression, provides convincing proof of the complex interplay between genetic and environmental factors. In T1D, epigenetic phenomena, such as DNA methylation, histone modifications, and microRNA dysregulation, have been associated with altered gene expression. Increasing epidemiologic and experimental evidence supports the role of genetic and epigenetic alterations in the etiopathology of diabetes. We discuss recent results related to the role of genetic and epigenetic factors involved in development of T1D.
A new method of gain stabilization and its fuzzy-PID control algorithm for ring laser gyro

The gain stability is an important factor to influence the performance of ring laser gyro (RLG). Traditional method is stabilizing the discharging current which has been proved to be incorrect by experiment. Based on the analysis of the physics essence of laser gain, this paper puts forward a new method for gain stabilization using fuzzy-PID control algorithm. Through adjusting the discharging current by optimized control algorithm in real time, the laser gain can be stabilized to a fixed value. The mathematic model of the control process is set up, and the concrete steps of the fuzzy-PID algorithm are given in detail. Simulation and experiments are carried out to test the performance of the system. The results show the RMS precision of laser gain and gyro drift can reach 2.6×10−5 and 4.47×10−3 respectively, indicating that the new method and its control algorithm are effective for gain stabilization, which can enhance the performance of RLG in application.
Soil Survey in Sweden

However, they played an important role in the understanding of soil properties and land use planning, and came later to provide a useful basis for national soil mapping. The geological surveys gave rise to the so called Quaternary and Petrological Maps, the first one being published 1857. The maps show mineralogy and texture and genesis of the parent material, e.g. texture of glacial till and water or wind deposited sediments, and occurrence of peat and gyttja.
Trie-based Observations on the Routing Tables

Trie is a data structure that is widely used in the algorithms for routing table lookup. Usually, the structure and characteristics of the routing table are first examined, and then the efficient and effective trie-based algorithms are designed to speed up the time-critical path of packet processing in routers. This paper, on the contrary, uses a binary trie to make observations on the backbone BGP routing tables of both IPv4 and IPv6. Following some new terms and definitions, we use the statistical features of the trie to reveal the characteristics of the routing tables, such as route redundancy, route hierarchy etc. Particularly, some of the most significant evaluation metrics of the routing table lookup algorithms, such as worst case and average case memory access times per lookup for both successful and unsuccessful lookups, are concluded using different types of nodes in the trie
Multi-Authority Attribute Based Encryption Scheme with Revocation

Attribute Based Encryption (ABE) scheme can achieve information sharing of one-to-many users, without considering the number of users and the users identity. But, the traditional single Attribute Authority (AA) ABE scheme can hardly meet requirements of different agencies in distributed application environment and it is easy to form the system performance bottlenecks. Based on ciphertext-policy ABE scheme, this paper proposes a multi-authority revocable ABE scheme, where the classification manages user attributes, effectively relieving the management burden of single organization. In addition, it can achieve fine grained access control of shared information by adopting tree access strategy and secret sharing scheme, and support system attribute revocation. Finally, we show that the scheme is secure against chosen plaintext attack under the Decisional Bilinear Diffie-Hellman (DBDH) assumption.
X-Ray Induced Electron Emission.

Abstract : The development and use of a magnetic spectrograph for the measurement of X-ray induced electron emission is described. Results are presented for metal and dielectric targets ranging in atomic number from Z=6 to Z-82. Materials studied were lead, tantalum, copper, aluminum, magnesium, solar cell cover glass, silica cloth, thermal control paint, Kevlar, Mylar, and conducting/nonconducting epoxy. Direct measurement was made of the quantum yield and energy distribution of electrons emitted at angles of 0 deg, 30 deg, 45 deg and 60 deg with respect to the surface normal of targets exposed to normal incidence filtered and unfiltered 50kV bremsstrah lung X-rays. Experimental results are compared with previous measurements where possible, and with computer code predictions where predictive capability matches the measurement range. The experimental results corroborates the cos theta angular dependence predicted by simple theoretical models, particularly for medium and high Z materials. A trend toward isotropic emission distribution is noted for the lower Z materials. Compared to the measured results, the emission yields predicted by a commonly used analytical model are low by approximately a factor of 2 for the unfiltered X-ray spectrum.
Pokey: Interaction through covert structured light

In this paper we describe a method to support interaction with a cellphone-based projector-camera system. We describe a novel approach that uses a technique known in computer vision as ldquostructured lightrdquo. It is based on projecting some special pattern of light onto a scene while imaging it with a camera. The distortions of the known pattern in the resulting image are due to the scene geometry which can be readily estimated. The main contribution of this paper is that the structure is created as consequence of the way raster-scan, laser-based micro-projectors operate, and is in fact invisible to the user. The structure of the projected light is sensed through careful synchronization within the camera-projector system and is imperceptible to the user. In this paper we describe the technique, and test it with a cellphone based application that exploits this method while providing a natural interactive environment with no additional special equipment. The system enables manual interaction with a projected user interface using only the rasterizing projector and camera that will be part of next generation cellphones.
Safety and Efficacy of Endoscopic Submucosal Dissection for Non-Ampullary Duodenal Neoplasms: A Case Series

Sixteen non-ampullary duodenal neoplasms in 16 patients were treated with endoscopic submucosal dissection (ESD) performed by an endoscopist and an instrument assistant between February 2011 and November 2014. En bloc resection was performed in 15 cases (94%); lateral and vertical margins were pathologically free in 13 cases. Perforation occurred during submucosal dissection using a flex knife, but no perforations occurred in 15 cases using the hook knife only. No postoperative bleeding nor recurrence has been reported in any patient during the median 17-month follow-up period. Use of the hook knife as the main instrument and targeted training of the endoscopist and instrument assistant contributed to safe and effective duodenal ESD for non-ampullary duodenal neoplasms.
Texture image retrieval based on contourlet-2.3 and generalized Gaussian density model

In order to improve the retrieval rate of the original contourlet transform based texture image retrieval system, a contourlet-2.3 transform based texture image retrieval system was proposed. Generalized Gaussian Density (GGD) model parameters were cascaded to form feature vectors and Kullback-Leibler distance (KLD) function was used for similarity measure. Experimental results on 640 texture images from Vistex texture image database indicate that contourlet-2.3 transform based image retrieval system is superior to that of the original contourlet transform under the same system structure with almost same length of feature vectors, retrieval time and memory needed. Furthermore, GGD combined with KLD method has higher retrieval rates than energy based features combined with Euclidean distance under comparable levels of computational complexity, decomposition parameters including the number of scale and directional subband on each scale selected in both contourlet transforms can make retrieval results quite different.
Transformational Leadership and the Proliferation of Community College Leadership Frameworks: A Systematic Review of the Literature

ABSTRACT Due to a significant turnover of community college presidents, considerable research has emerged on the topic of community college leadership in recent years. What competencies, skills, knowledge, behaviors, and traits do community college presidents need to possess – especially when they face an unprecedented number of challenges including increased accountability, changing government funding models, and pressure to adopt significant curriculum reform to improve student completion and success rates? An unintended result of the expansion of the literature may be the emergence of a research phenomenon called construct proliferation. Construct proliferation occurs when multiple, competing theories and frameworks are developed to explain a similar phenomenon, which can impede research. One solution to this problem may be to use transformational leadership theory and the five-factor model as theories to help synthesize these multiple constructs. This article reviews the literature on community college leadership published since 2005 to demonstrate how transformational leadership and the five-factor model can inform community college leadership frameworks like AACC’s Competencies for Community College Leaders and the major themes that have emerged in the literature on community college leadership over the past two decades. Findings indicate that both theories may be useful in addressing the issue of construct proliferation in the community college leadership literature.
Archiving Self-Access : Methodological considerations

This study has illustrated how a long-term ethnographic approach of archiving data and profiling its key participants represents an effective means of revealing Asian EFL Journal Volume 13 Issue 2 12 perceptions of a new Self-Access Learning Center (SALC) within a university in Japan. This on-going process of conducting qualitative interviews and conversational narratives with center staff, accompanied by student questionnaires, has required methodological reduction of the large amount of ensuing data. Such a process is achieved by a combination of crystallization of themes emerging from dialogues, and analysis of questionnaire data from various perspectives. This methodology reflects the researchers’ wishes to investigate the self-access center where they work in a manner more locally situated, co-constructive and, importantly, in one which accords voice and agency to peripheral SALC stakeholders. As a study for the purpose of the continuous improvement of practice, the triangulated methodology employed to gather and analyze data can be adopted by other self-access centers seeking a rich, diverse body of evidence and an analytical framework to respond to the pedagogical and institutional environment where they operate.
Discovering Urban Social Functional Regions Using Taxi Trajectories

Social function refers to the recognized human use of urban land. Detailed urban land social function identification is an integral part of urban planning. This paper focuses on discovering the social functions of urban hot areas by using taxi trajectory data. The dataset is collected in Shanghai, China, over 1.5 years. Firstly, we propose a new method to find the urban hot areas. Secondly, we classify these areas into our predefined 10 kinds of social function by depicting the characteristics of them explicitly. Thirdly, we analyze the various temporal features of ten classes in detail.
INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words

We present the INESC-ID system for the 2016 edition of SemEval Twitter Sentiment Analysis shared task (subtask 4-A). The system was based on the Non-Linear Sub-space Embed-ding (NLSE) model developed for last year’s competition. This model trains a projection of pre-trained embeddings into a small sub-space using the supervised data available. Despite its simplicity, the system attained performances comparable to the best systems of last edition with no need for feature engineering. One limitation of this model was the assumption that a pre-trained embedding was available for every word. In this paper, we investigated different strategies to overcome this limitation by exploiting character-level embed-dings and learning representations for out-of-embedding vocabulary words. The resulting approach outperforms our previous model by a relatively small margin, while still attaining strong results and a consistent good performance across all the evaluation datasets.
Online discussion boards for focus group interviews: an exploratory study

Certain attributes of information and communication technology have many potentially useful applications for qualitative research. With reference to an exploratory study, in this paper we consider how online discussion boards can facilitate the collection of qualitative data from focus group interviews. We also evaluate the advantages and limitations of conducting these interviews through online discussion. The increasing usage of information and communication technologies (ICTs) in educational institutions has a significant impact on qualitative research in education (Burgess 1995). ICTs have been used to help record, sort, retrieve and analyse qualitative data. The applications of ICTs in qualitative research range from simple word processing to sophisticated data sorting, retrieval and analysis (eg using QUALPRO, ETHNOGRAPH and NUD • IST). The contexts, experiences, potentials and limitations of using these ICT packages have been well documented (Armstrong 1995; Tallerico 1991; Weaver & Atkinson 1995). However, most of these research studies only look at the methodological features of qualitative data analysis to consider how, how much, and how well it can be computerised (Richards & Richards 1998). In this paper, we consider how ICT can be used to facilitate the collection of qualitative data, relating the experiences of one author in using an online discussion board to conduct a focus group interview for an exploratory study. We also evaluate the advantages and limitations of using ICT in such interviews.
Low Expectations, Low Demand: When Should the Government Intervene?

This paper studies the impact of different interventions that aim to mitigate coordination failures in a macroeconomic environment. We address questions concerning the timing of economic stimulus. When should the government start stimulating the economy? Should it spend more on preventing crisis or on taking the economy out of it when fundamentals are worth? How the economic stimulus should play with the strategic complementarity? To answer those questions we build a dynamic macroeconomic model with monopolistic competition and staggered investment decisions. Applying theoretical results of dynamic games with timing frictions, we are able to characterize an unique equilibrium in this model, providing a tractable framework for policy analysis. Our results suggest that the government should not bias the incentives towards trying hard to avoid crisis or trying hard to rescue the economy, it should do neither.