Miracle-dz/UniFAR-FTUs huggingface dataset:
Native American Identity Formation in Relation to Educational Experiences

Previous research in the fields of Critical Race Theory, Tribal Critical Race Theory, education, and identity formation suggests that one’s educational experiences influence the construction and formation of a Native American identity. An examination of this literature leads to the question: how do educational experiences influence the construction and formation of Native American Identity? I propose that scholastic influences of peers, teachers and curriculum can have positive and negative influences on one’s identity formation. Using snowball sampling I conducted seven semi-structured qualitative interviews with individuals aged 18-65 to examine the relationship between educational experiences and identity formation. Preliminary analyses indicate that familial socialization has a strong effect on identity formation. Individuals who attended nonreservation public schools, reservation schools and off-reservation boarding schools all explain that the interplay between family and education is a primary factor in enabling their positive attitudes towards Native American identity formation. Those who expressed negative feelings towards their identity developed this perspective through negative interactions within the classroom setting. Participants spoke of the negative light that Native American history is cast under in a scholastic setting, and ignorant or rude comments made by their peers. The results support the theory that the interplay between educational experiences and familial influence shape the construction and formation of Native American identity. Document Type Capstone Project Degree Name Bachelor of Arts Department Sociology, Anthropology, Social Work and Public Health First Advisor Daniel B. Eisen Second Advisor John Reid-Hresko Subject Categories Social and Behavioral Sciences Rights Terms of use for work posted in CommonKnowledge. This capstone project is available at CommonKnowledge: http://commons.pacificu. edu/cassoc/28 Comments Honorable Mention, 2014 CommonKnowledge Senior Project Writing Award This capstone project is available at CommonKnowledge: http://commons.pacificu. edu/cassoc/28 NATIVE AMERICAN IDENTITY FORMATION IN RELATION TO EDUCATIONAL EXPERIENCES A THESIS SUBMITTED TO THE SOCIOLOGY DEPARTMENT OF PACIFIC UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF BACHELOR OF ARTS IN SOCIOLOGY
Determining Single Connectivity in Directed Graphs

In this paper, we consider the problem of determining whether or not a directed graph contains a pair of vertices connected by two distinct simple paths; if it does not, we say it is singly connected. A straightforward implementation using n depth rst searches requires O(nm) time on an n-vertex, m-arc digraph; we obtain an O(n) time algorithm by using contraction wherever possible. Supported by a Fannie and John Hertz Foundation fellowship, National Science Foundation Grant No. CCR-8920505, and the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) under NSF-STC88-09648. 2Supported by a National Science Foundation Graduate Fellowship and the Fannie and John Hertz Foundation.
Wheelchair Motion Control Guide Using Eye Gaze and Blinks Based on PointBug Algorithm

In this paper, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair; eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the microcontroller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. PoingBug algorithm is used to navigate the wheelchair in Auto controlling method. Simulated results are similar to Tangent Bug algorithm results, but experimental tests are slightly improved in some cases where the surroundings have sharp edges.
Formation and Constitution of Effectual Networks: A Systematic Review and Synthesis

The co&#8208;creational processes of effectuation represent an important development in understanding of entrepreneurial action. They also manifest in networks that are themselves important artefactual outcomes of effectual processes. To synthesize research connecting effectuation to the networks involved, this paper offers a systematic literature review. Following recent theorizing, the authors organize the literature around two general themes: (1) why and how network development occurs; and (2) what network develops. The resultant thematic model offers a comprehensive perspective on network development under effectuation logic. The analysis identifies that understanding of effectual networking and effectual networks is fragmented, incomplete and constrained by a lack of construct and contextual clarity. The authors present alternative perspectives on constructs and assumptions surrounding networks in effectuation, integrate network theory into effectuation, and generate important trajectories for future research.
Liquid-ChromatographicDeterminationof Serotoninin Serum and Plasma Suielman Sasa , 1 ’ 2

Using high-performance liquid chromatography with electrochemical detection, we determined serotonin in plasma from parkinsonian patients being treated with L3,4-dihydroxyphenylalanine or N-(DL-seryl)-N’(2,3,4trihydroxybenzyl)hydrazine hydrochloride plus L-3,4-dihydroxyphenylalanine (“Sinemet”) and in serum from a blood bank, from “normal” persons, and a pooled specimen from a hospital clinical laboratory. The values obtained for the two groups of Parkinson’s disease patients showed no significant difference. Long-term storage on solid CO2 was shown to be an adequate technique for preserving samples. The mean (±SEM) normal value obtained for serotonin in serum was 146 ± 46 tg/liter (n = 23), a result in harmony with that previously obtained [C/in. Chem. 20, 812 (1974)J by fluorometry. In comparison to other methods for measurement of serotonin in serum or plasma, we believe that the present scheme offers greater selectivity, sensitivity, and precision.
Using ICTs to boost students’ motivation in the EFL classroom

At present, new technologies are very popular especially among young people and tools such as mobile phones and computers are a big influence in their everyday lives. Therefore, language teachers have begun to use Information and Communication Technologies (ICTs) during their lessons in order to motivate students and get them involved actively in the classroom. The aim of this project is to find out if ITCs boost secondary school students’ motivation in the English as a Foreign Language (EFL) classroom. With that purpose, (1) learners will use their mobile phones, laptops, and/or tablets in order to complete two online tasks (i.e. ‘WebQuest’ and ‘Kahoot’); and (2) students will also complete a ‘Self-Assessment Questionnaire’. Expected results show that students involve actively during the sessions and learn faster with the use of these online resources. Finally, these expected results may make evident that the students who participated in this study might become more motivated because they enjoy working in a digital context with the aim of learning English.
MODELING HUMAN PERFORMANCE IN USING A SPATIAL SEGMENTATION CHINESE HANDWRITING RECOGNIZER

To predict and improve human performance in spatial segmentation Chinese handwriting recognizer, a mathematic performance model was developed based on Fitts’ law and probability theory of discrete random variables. The model was verified by a behavioral experiment and it can predict subjects’ task completion time well after the subjects experienced 2 stages of practice (R square > 0.9). The mathematic model including its variants might be very helpful for designers of the user interface to select optimal parameters in layout of elements on the user interface and focus on relatively important and cost-effective factor(s) in the system to optimize the human performance. Further developments of the model in modeling human performance in using other input advices, and its value in developing proactive ergonomic design and analysis tools for input interface design are discussed.
The Body in Pain

Part philosophical meditation, part cultural critique, this profoundly original work explores the nature of physical suffering. Elaine Scarry bases her study on a wide range of sources: literature and art, medical case histories, documents on torture compiled by Amnesty International, legal transcripts of personal injury trials, and military and strategic writings by such figures as Clausewitz, Churchill, Liddell Hart, and Henry Kissinger. Scarry begins with the fact of pain's inexpressibility. Not only is physical pain difficult to describe in words, it also actively destroys language, reducing sufferers in the most extreme cases to an inarticulate state of cries and moans. Scarry goes on to analyse the political ramifications of deliberately inflicted pain, specifically in the cases of warfare and torture, and she demonstrates how political regimes use the power of physical pain to attack and break down the sufferer's sense of self. Finally she turns to examples of artistic and cultural activity; actions achieved in the face of pain and difficulty.
Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle

This paper proposes a soft, inflatable manipulator that is antagonistically actuated by tendons and pneumatics. The combination of the two actuation mechanisms in this antagonistic robot structure is inspired by the octopus which uses its longitudinal and transversal muscles to steer, elongate, shrink and also stiffen its continuum arms. By “activating” its antagonistic muscle groups at the same time, the octopus can achieve multiple motion patterns as well as stiffen their arms. Being organized in a similar fashion, our robot manipulator uses, on the one hand, pneumatic actuation and, on the other hand, tendon-based actuation - one opposing the other, achieving an overall antagonistic actuation framework. Controlling the pressure inside the robot while at the same time controlling the tendons' displacements, the robot can be moved into a wide range of configurations while simultaneously controlling the arm's stiffness. This paper builds on earlier work by the authors: Here, we present a new conic-shaped manipulator structure and the control architecture. Using a constant curvature model, we have derived an approach suitable for controlling the robot manipulator. The manipulator's reachable workspace is analyzed and proof-of-concept experiments were conducted to show the robot's stiffness control and motion abilities.
AN ARGENTINEAN ISOLATE OF LEEK YELLOW STRIPE VIRUS FROM LEEK CAN BE TRANSMITTED TO GARLIC

SUMMARY Leek yellow stripe virus (LYSV) causes mosaic in garlic and leek, together with other potyviruses, carlaviruses and allexiviruses. An isolate of LYSV from leek plants presenting typical yellow stripes, near Cordoba, Argentina, was mechanically transmitted and caused chlorotic local lesions in Chenopodium amaranticolor and C. quinoa. Only two out of 40 onion plants mechanically inoculated were infected. The isolate was easily transmitted to garlic mechanically (14 out of 20 plants) and by aphids (2 out of 10 plants), especially to young plants. Myzus persicae, Rhopalosiphum maidis, R. padi, Schizaphis graminum, Aphis gossypii, A. nerii, Uroleucon sonchi and Hyperomyzus carduellinus were able to transmit the virus. Abundant inclusion bodies were observed in thin sections. The modal length of the virion was 825 nm, and the capsid protein was 34 kDa in size, as determined by SDS-PAGE. LYSV from leek and Onion yellow dwarf virus were compared using several antisera, including one prepared against our isolate and their serological relatedness confirmed. The 3´-nontranslated region (3´-NTR) of our isolate (accession no. AY007693) showed 94% identity with that of LYSV (accession no. X89711) and the deduced amino acid sequence for the coat protein had 97% homology.
Perception of Justice Mediates Relationship between Pay Dispersion and Job Involvement

Injustice is a common phenomenon which has a negative impact on not only the employees’ job involvement, but also their career success, and ultimately has an undesirable impact on the organization. Furthermore, managers and employees mostly are concerned about pay situation among many factors that cause the perception of unfairness. Nowadays, the majority of studies empirically verified how pay dispersion between subordinate relationship affects employees’ behavior. Few scholars explained the relationship between perception of justice affected by pay dispersion and job involvement based on equity theory. Thus, this study helps enterprises to understand the employees’ psychological perception of pay dispersion, so that managers can balance the internal salary gap and ameliorate the employees’ justice perception, and motivate employees to involve into work.
Cantor spectra of magnetic chain graphs

We demonstrate a one-dimensional magnetic system can exhibit a Cantor-type spectrum using an example of a chain graph with δ coupling at the vertices exposed to a magnetic field perpendicular to the graph plane and varying along the chain. If the field grows linearly with an irrational slope, measured in terms of the flux through the loops of the chain, we demonstrate the character of the spectrum relating it to the almost Mathieu operator.
Computational Complexity Reduction of the Support Vector Machine Classifiers for Image Analysis Tasks Through the Use of the Discrete Cosine Transform

Support vector machines (SVMs) are powerful classifiers, with very good recognition rates in image analysis tasks. However their computational time in the object recognition phase is often large due to the number of classifications per scene and to the feature vector size, especially when the feature space is formed from raw image data. Several methods are reported in the literature to make the classification faster, as selecting only the most significant support vectors or reducing the feature vector length by image transforms (wavelets, PCA) prior to SVM training and classification. The method we propose is different in principle. Instead of applying the transform prior to training and thus changing the representation space, we only perform a unitary orthogonal real transform in the classification phase on the resulting support vectors and on the pattern to be classified. As the inverse matrices of these transforms are exactly the transposed of the transform matrices, we mathematically prove that the dot product of any two vectors has the same expression in the original and the transformed space. This, combined with the energy compaction property of a suitable transform, leads to a faster computation of the dot products, if the transform has a fast implementation algorithm. We use the discrete cosine transform (DCT) due to its good energy compaction on digital images. Our first experiments on a face recognition application are promising: at the same recognition rate, our algorithm leads to an average 30% reduction in the number of elementary operations per classification
Fast Algorithms for Markov Modulated PoissonProcesses and Their Applications to ManufacturingSystemsWai

Markov-modulated Poisson process (MMPP) is a generalization of Poisson process and is commonly used in modeling the input process of communication systems such as data traac systems and ATM networks. In this paper, we give fast algorithms for solving queueing systems and manufacturing systems with MMPP inputs. We consider queueing systems where the input of the queues is a superposition of MMPP which is still an MMPP. The generator matrices of these processes are tridiagonal block matrices with each diagonal block being a sum of tensor product of matrices. We are interested in nding the steady state probability distributions of these processes which are the normalized null-vectors of their generator matrices. Classical iterative methods, such as the block Gauss-Seidel method are usually employed to solve for the steady state probability distributions. They are easy to implement, but their convergence rates are slow in general. The number of iterations required for convergence increases like O(m) where m is the size of the waiting spaces. Here, we propose to use the preconditioned conjugate gradient method. We construct our preconditioners by taking circulant approximations of the tensor blocks of the generator matrices. We show that the number of iterations required for convergence increases at most like O(log m) for large m. Numerical results are given to illustrate the fast convergence. As an application, we apply the MMPP to model unreliable manufacturing systems. The production process consists of multiple parallel machines which produce one type of product. Each machine has exponentially distributed up time, down time and processing time for one unit of product. The inter-arrival of a demand is exponentially distributed and nite backlog is allowed. We consider hedging point policy as the production control. The average running cost of the system can be written in terms of the steady state probability distribution. Our 1 numerical algorithm developed for the queueing systems can be applied to obtain the steady state distribution for the system and hence the optimal hedging point. Furthermore, our method can be generalized to handle the case when the machines have more general type of repairing process distribution such as the Erlangian distribution.
Miniature multispectral camera and its application in machine vision

This paper presents a miniature multispectral camera and its application in machine vision. Differ to conventional camera, the multispectral camera can capture image with high spectral resolution. First, the design of the multispectral camera is introduced. It consists of a Digital Micro-mirror Device (DMD) sandwiched by two optic gratings. Then, optical analysis is carried out, which demonstrates the spectral decomposition of an image. Next, two simulation examples are presented. The first example compares the difference among four clays with close colors. The second example compares two sets of similar food: one set is real while the other set is fake. The simulation examples demonstrate that the multispectral camera is capable of identifying detailed spectral information that conventional camera cannot. It is therefore believed that the multispectral camera will find some practical applications soon.
Intégrer la bonne Écurie ou comment devient-on associé d’audit ? Le fonctionnement des réseaux informels de promotion dans les cabinets Big 4 en France

So far, literature has sought to describe and explain the advancement of auditors as a progression to the top of the pyramid, the climax in an auditor's career: co-option as a partner. By adopting an interactionist perspective, the longitudinal and micro-sociological concept of career enables us to consider promotion-to-partnership as a process that began the very first working day, and continues throughout the individual's career inside the firm. We demonstrate that invisible promotion networks, compared to "racing stables" informally organize the top-down structure of hierarchy inside Big 4 Firms, and play a critical but overlooked role before, during and after co-option as a partner.
Exploring antecedents of organisational adoption of ERP and their effect on performance of firms

The research aims to address the existing theoretical gap in knowledge on antecedents to organisational adoption stage of the Enterprise Resource Planning (ERP) innovation process, and their relationship to performance of the firms. The predominant focus on investigating the implementation stage and its related issues has resulted in relatively limited understanding of the other stages of ERP innovation process. Additionally, little is known on how important critical success factors (CSFs) are to performance improvements of the firms. Grounded in innovation diffusion & IS Success theories, this study attempts to identify the antecedents critical to the success of the adoption stage of ERP innovation process and then examine their effect on organisational performance . Employing a mixed method research design for data collection and Structural Equation Modelling for analysis, the study empirically test a research model in order to develop an integrated, holistic framework for success of ERP innovation process. This research expects to contribute to the development of theory on innovation process by testing new antecedents to ERP adoption stage context as well as enhancing the understanding of CSFs’ role. The study will also provide recommendations for both the potential adopters and the vendors on successful uptake of ERP system.
Learning a Semantic Space by Deep Network for Cross-media Retrieval

With the growth of multimedia data, the prob- lem of cross-media (or cross-modal) retrieval has attracted considerable interest in the cross-media retrieval community. One of the solutions is to learn a common representation for multimedia data. In this paper, we propose a simple but effective deep learning method to address the cross-media retrieval problem between images and text documents for samples either with single or multiple labels. Specifically, two independent deep networks are learned to project the input feature vectors of images and text into an common (isomorphic) semantic space with high level abstraction (semantics). With the same dimensional feature representation in the learned common semantic space, the similarity between images and text documents can be directly measured. The correlation between two modalities is built according to their shared ground truth probability vector. To better bridge the gap between the images and the corresponding semantic concepts, an open-source CNN implementation called Deep Convolutional Activation Feature (DeCAF) is employed to extract input visual features for the proposed deep network. Extensive experiments on two publicly available multi-label datasets, NUS-WIDE and PASCAL VOC 2007, show that the proposed method achieves better results in cross-media retrieval compared with other state of the art methods.
Eye tracking and pupil size variation as response to affective stimuli: A preliminary study

Eye Gaze Trackers (EGTs) and pupil size variation are generally developed for scientific investigation in controlled environments or laboratories and data are used in several fields of application such as ophthalmology, neurology, or psychology, with the aim of studying oculomotor characteristics and abnormalities. Very often, the focus of these studies is the identification of cognitive and mental states. This preliminary work aims at investigating if eye tracking and pupil size variation can provide useful cues to discriminate emotional states induced by viewing images at different arousal content. Here we propose a new wearable and wireless EGT, hereinafter called HATCAM, able to robustly enable eye tracking and pupil area detection. Although very preliminary, results are very promising for affective computing applications.
Hydraulic screwdown control system for mandrel mill

A process for producing small-diameter seamless steel tubes using a mandrel mill line is described. The general concept of end-thinning control and the configuration of a hydraulic screwdown control system, including the application of an expert system are discussed. To improve cylinder response and stabilization of the servo control in the system, the velocity, feedforward, compensation, cylinder position offset compensation, and hydraulic pressure feedback compensation functions were applied. The static adaptive function and dynamic adaptive function of screwdown start time were also applied to the system, since screwdown start timing control is important in precisely forming the thin tapered tube ends. <<ETX>>