Miracle-dz/UniFAR-FTUs huggingface dataset:
“I Had My Way of Doing Things and It Worked for Me”: Lived Employment Experiences of Adults with Psychiatric Disabilities

Adults with psychiatric disabilities have a higher rate of unemployment and underemployment and have often suffered some form of job discrimination and poor employment accommodations due to the nature of their disabilities. However, there are few empirical investigations related to how these individuals undertake and/or perceive their employment experiences and the meaning of those experiences. This study aims to explore the lived experiences of adults with psychiatric disabilities who have received their employment-related postsecondary training in a southwestern city of the United States. Using a transcendental phenomenological approach, semi-structured interviews for were conducted with six participants; each participant was interviewed twice. Based on the data analysis, six core themes emerged: subtle discrimination, work and familial support, disability awareness, accommodation, fear of embarrassment / strength limitation, and disclosure/self-advocacy. These findings advance the understanding of the core requirements and relevant accommodations needed for adults with psychiatric disabilities to help them gain and retain employment in a competitive labor market. Based on these findings, we conclude this article with a discussion of practical implications and suggestions for future research.
Exchange rate determination in Indonesia

This thesis examines the options for adopting normative and prescriptive models of exchange rate determination suitable for developed and developing countries. It also develops a new modeling approach for the determination of the exchange rate, which is suitable especially for developing countries, with the Indonesian case study. To achieve these objectives, this thesis (1) examines the exchange rate issues in a typical developing country - Indonesia, (2) develops and tests market based and shadow price of exchange rate models for Indonesia, (3) discusses the issues and mechanism for choosing an exchange rate regime for a country, and (4) suggests an approach which is based on the consideration of all these three types of models and the choice of an appropriate exchange rate regime suitable for developing economy such as Indonesia.
Do stereotypes strike twice? Giftedness and gender stereotypes in pre-service teachers’ beliefs about student characteristics in Australia

ABSTRACT Stereotypes influence teachers’ perception of and behaviour towards students, thus shaping students’ learning opportunities. The present study investigated how 315 Australian pre-service teachers’ stereotypes about giftedness and gender are related to their perception of students’ intellectual ability, adjustment, and social-emotional ability, using an experimental vignette approach and controlling for social desirability in pre-service teachers’ responses. Repeated-measures ANOVA showed that pre-service teachers associated giftedness with higher intellectual ability, but with less adjustment compared to average-ability students. Furthermore, pre-service teachers perceived male students as less socially and emotionally competent and less adjusted than female students. Additionally, pre-service teachers seemed to perceive female average-ability students’ adjustment as most favourable compared to male average-ability students and gifted students. Findings point to discrepancies between actual characteristics of gifted female and male students and stereotypes in teachers’ beliefs. Consequences of stereotyping and implications for teacher education are discussed.
Geometric BIC

SUMMARY The “geometric AIC” and the “geometric MDL” have been proposed as model selection criteria for geometric ﬁtting problems. These correspond to Akaike’s “AIC” and Rissanen’s “BIC” well known in the statistical estimation framework. Another well known criterion is Schwarz’ “BIC”, but its counterpart for geometric ﬁtting has not been known. This paper introduces the corresponding criterion, which we call the “geometric BIC”, and shows that it is of the same form as the geomet- ric MDL. Our result gives a justiﬁcation to the geometric MDL from the Bayesian principle.
Caspase-3-like activity determines the type of cell death following ionizing radiation in MOLT-4 human leukaemia cells

Caspases, a family of cysteine proteases, play a central role in the pathways leading to apoptosis. Recently, it has been reported that a broad spectrum inhibitor of caspases, the tripeptide Z-VAD-fmk, induced a switch from apoptosis to necrosis in dexamethasone-treated B lymphocytes and thymocytes. As such a cell death conversion could increase the efficiency of radiation therapy and in order to identify the caspases involved in this cell death transition, we investigated the effects of caspase-3-related proteases inhibition in irradiated MOLT-4 cells. Cells were pretreated with Ac-DEVD-CHO, an inhibitor of caspase-3-like activity, and submitted to X-rays at doses ranging from 1 to 4 Gy. Our results show that the inhibition of caspase-3-like activity prevents completely the appearance of the classical hallmarks of apoptosis such as internucleosomal DNA fragmentation or hypodiploid particles formation and partially the externalization of phosphatidylserine. However, this was not accompanied by any persistent increase in cell survival. Instead, irradiated cells treated by this inhibitor exhibited characteristics of a necrotic cell death. Therefore, functional caspase-3-subfamily not only appears as key proteases in the execution of the apoptotic process, but their activity may also influence the type of cell death following an exposure to ionizing radiation. © 2000 Cancer Research Campaign
The Doppelgänger Bot Attack: Exploring Identity Impersonation in Online Social Networks

People have long been aware of malicious users that impersonate celebrities or launch identity theft attacks in social networks. However, beyond anecdotal evidence, there have been no in-depth studies of impersonation attacks in today's social networks. One reason for the lack of studies in this space is the absence of datasets about impersonation attacks. To this end, we propose a technique to build extensive datasets of impersonation attacks in current social networks and we gather 16,572 cases of impersonation attacks in the Twitter social network. Our analysis reveals that most identity impersonation attacks are not targeting celebrities or identity theft. Instead, we uncover a new class of impersonation attacks that clone the profiles of ordinary people on Twitter to create real-looking fake identities and use them in malicious activities such as follower fraud. We refer to these as the doppelgänger bot attacks. Our findings show (i) that identity impersonation attacks are much broader than believed and can impact any user, not just celebrities and (ii) that attackers are evolving and create real-looking accounts that are harder to detect by current systems. We also propose and evaluate methods to automatically detect impersonation attacks sooner than they are being detected in today's Twitter social network.
A Guideline for Selecting Live Migration Policies and Implementations in Clouds

Live migration of virtual machines (VMs) is widely used for managing cloud computing platforms. However, live migration causes performance interference on cloud services running on migrated VMs or other VMs collocating with the services during or after migration. Although migration time and downtime are mainly for measuring live migration performance, cloud administrators must take live migration-performance interference into consideration. Since many live migration policies and implementations have been proposed recently, cloud administrators are required to choose an appropriate migration policy and/or implementation. For this study, we conducted several experiments and compared several migration methods quantitatively. According to our experimental results, we reveal the trade-offs of each migration policy and implementation that are not just related to downtime and migration time and present guidelines for selecting appropriate policies and implementations.
Music Paste: Concatenating Music Clips based on Chroma and Rhythm Features

In this paper, we provide a tool for automatically choosing appropriate music clips from a given audio collection and properly combining the chosen clips. To seamlessly concatenate two different music clips without causing any audible defect is really a hard nut to crack. Borrowing the idea from the musical dice game and the DJ’s strategy and considering psychoacoustics, we employ the currently available audio analysis and editing techniques to paste music sounded as pleasant as possible. Besides, we conduct subjective evaluations on the correlation between pasting methods and the auditory quality of combined clips. The experimental results show that the automatically generated music pastes are acceptable to most of the evaluators. The proposed system can be used to generate lengthened or shortened background music and dancing suite, which is useful for some audio-assisted multimedia applications.
Hamiltonians for Reduced Gravity

A generalised canonical formulation of gravity is devised for foliations of spacetime with codimension $n\ge1$. The new formalism retains n-dimensional covariance and is especially suited to 2+2 decompositions of spacetime. It is also possible to use the generalised formalism to obtain boundary contributions to the 3+1 Hamiltonian.
A Transgenic Tri-Modality Reporter Mouse

Transgenic mouse with a stably integrated reporter gene(s) can be a valuable resource for obtaining uniformly labeled stem cells, tissues, and organs for various applications. We have generated a transgenic mouse model that ubiquitously expresses a tri-fusion reporter gene (fluc2-tdTomato-ttk) driven by a constitutive chicken β-actin promoter. This “Tri-Modality Reporter Mouse” system allows one to isolate most cells from this donor mouse and image them for bioluminescent (fluc2), fluorescent (tdTomato), and positron emission tomography (PET) (ttk) modalities. Transgenic colonies with different levels of tri-fusion reporter gene expression showed a linear correlation between all three-reporter proteins (R2=0.89 for TdTomato vs Fluc, R2=0.94 for Fluc vs TTK, R2=0.89 for TdTomato vs TTK) in vitro from tissue lysates and in vivo by optical and PET imaging. Mesenchymal stem cells (MSCs) isolated from this transgenics showed high level of reporter gene expression, which linearly correlated with the cell numbers (R2=0.99 for bioluminescence imaging (BLI)). Both BLI (R2=0.93) and micro-PET (R2=0.94) imaging of the subcutaneous implants of Tri-Modality Reporter Mouse derived MSCs in nude mice showed linear correlation with the cell numbers and across different imaging modalities (R2=0.97). Serial imaging of MSCs transplanted to mice with acute myocardial infarction (MI) by intramyocardial injection exhibited significantly higher signals in MI heart at days 2, 3, 4, and 7 (p<0.01). MSCs transplanted to the ischemic hindlimb of nude mice showed significantly higher BLI and PET signals in the first 2 weeks that dropped by 4th week due to poor cell survival. However, laser Doppler perfusion imaging revealed that blood circulation in the ischemic limb was significantly improved in the MSCs transplantation group compared with the control group. In summary, this mouse can be used as a source of donor cells and organs in various research areas such as stem cell research, tissue engineering research, and organ transplantation.
A DTN mode for reliable internet telephony

IP telephony suffers from the well-known fact that the Internet does only provide a best-effort service. Thus, minimum transmission quality cannot be guaranteed and, especially during times of network congestion or occasional link failures, UDP-based VoIP becomes unusable. To overcome these limitations, we have developed a rate-adaptive transmission system for highly scalable speech and audio codecs that uses the Delay Tolerant Networking (DTN) approach for very low bit rates. In this way, as soon as the available transmission capacity falls below the minimum coding rate, our system switches to a Push-To-Talk (PTT) like conversational mode. Subjective conversational quality tests have shown that the algorithm allows for a good and effective conversation (MOS-CQS is 3.5) even in cases where traditional UDP based VoIP telephony fails (MOS-CQS is 1).
How strategy maps frame an organization's objectives: in an excerpt from their new book, two noted authors on corporate management outline how organizations can mobilize and sustain their intangible assets for value-creating internal processes

The strategy literature is uncommonly diverse. Scholars and practitioners have very different frameworks for strategy and don't even agree on its definition. While "strategy maps"--to be discussed in this article--and Balanced Scorecards can be developed for any strategic approach, we base our approach on the general framework articulated by Michael Porter, a founder and outstanding leader in the strategy field. Porter argues that strategy is about selecting the set of activities in which an organization will excel to create a sustainable difference in the marketplace. The sustainable difference can be to deliver greater value to customers than competitors, or to provide comparable value, but at lower costs than competitors. He states, "Differentiation arises from both the choice of activities and how they are performed. "
Automatic Generation of Listening Comprehension Learning Material in European Portuguese

The goal of this work is the automatic selection of materials for a listening comprehension game. We would like to select automatically transcribed sentences from recent broadcast news corpora, in order to gather material for the games with little human effort. The recognized words are used as the ground solution of the exercises, thus sentences with misrecognitions need to be filtered out. Our experiments confirmed the feasibility of the filter chain that automatically selects sentences, although harder confidence thresholds may be needed. Together with the correct words, wrong candidates, namely distractors, are also needed to build the exercises. Two techniques of distractor generation are presented, either based on the confusion networks produced by the recognizer, or on phonetic distances. The experiments confirmed the complementarity of both approaches. Index Terms: CALL, Listening Comprehension, European Portuguese, ASR, distractors
Continuous User Authentication using Video-based Face Recognition

In order to ensure that a verified user is indeed the individual accessing a secured system over a period of time, it is necessary to constantly monitor the individual. Typical biometric systems recognize an individual at one particular time (e.g. login) and commonly require interaction with a device (e.g. using the keyboard). In this paper, we address the issue of continuous biometric verification using the face. We propose a system that will passively monitor an individual (does not require user interaction) and will provide an estimate of certainty at any point in time about the identity of the verified user using the system. Specifically, we address the scenario of a user in front of a workstation. The system uses 3D face models of the enrolled users to track and recognize subjects with large degrees of intra-class variability. The information obtained from tracking and recognition is incorporated into a probabilistic framework to provide a confidence measure regarding the identity of the current user. We evaluate our method on a database of 10 probe videos of different users, along with 60 gallery subjects (3D models). The system is able to reject an impostor in 2 frames on average (time to correct reject) and grants access to a genuine user 85% of the time (usability). If the system rejects access, accurate verification with a frontal face image is required from the user.
Epidemiology of Trauma Patients and Analysis of 268 Mortality Cases: Trends of a Single Center in Korea

Purpose There is an increasing incidence of mortality among trauma patients; therefore, it is important to analyze the trauma epidemiology in order to prevent trauma death. The authors reviewed the trauma epidemiology retrospectively at a regional emergency center of Korea and evaluated the main factors that led to trauma-related deaths. Materials and Methods A total of 17007 trauma patients were registered to the trauma registry of the regional emergency center at Wonju Severance Christian Hospital in Korea from January 2010 to December 2012. Results The mean age of patients was 35.2 years old. The most frequent trauma mechanism was blunt injury (90.8%), as well as slip-and-fall down injury, motor vehicle accidents, and others. Aside from 142 early trauma deaths, a total of 4673 patients were admitted for further treatment. The most common major trauma sites of admitted patients were on the extremities (38.4%), followed by craniocerebral, abdominopelvis, and thorax. With deaths of 126 patients during in-hospital treatment, the overall mortality (142 early and 126 late deaths) was 5.6% for admitted patients. Ages ≥55, injury severity score ≥16, major craniocerebral injury, cardiopulmonary resuscitation at arrival, probability of survival <25% calculated from the trauma and injury severity score were independent predictors of trauma mortality in multivariate analysis. Conclusion The epidemiology of the trauma patients studied was found to be mainly blunt trauma. This finding is similar to previous papers in terms of demographics and mechanism. Trauma patients who have risk factors of mortality require careful management in order to prevent trauma-related deaths.
How do digits emerge? - mathematical models of limb development.

The mechanism that controls digit formation has long intrigued developmental and theoretical biologists, and many different models and mechanisms have been proposed. Here we review models of limb development with a specific focus on digit and long bone formation. Decades of experiments have revealed the basic signaling circuits that control limb development, and recent advances in imaging and molecular technologies provide us with unprecedented spatial detail and a broader view of the regulatory networks. Computational approaches are important to integrate the available information into a consistent framework that will allow us to achieve a deeper level of understanding, and that will help with the future planning and interpretation of complex experiments, paving the way to in silico genetics. Previous models of development had to be focused on very few, simple regulatory interactions. Algorithmic developments and increasing computing power now enable the generation and validation of increasingly realistic models that can be used to test old theories and uncover new mechanisms.
AN ANALYSIS OF TECHNICAL EFFICIENCY AND PRODUCTIVITY CHANGES IN SPANISH AIRPORTS USING THE MALMQUIST INDEX

This paper analyzes efficiency and productivity changes in Spanish airports for the period 1992-94 using Malmquist indices (a quantitative ratio index of distance functions to an optimal production function). This index allowed the authors to decompose the total productivity changes into 2 different sources of variation, efficiency and technical change. The production function is estimated using Data Envelopment Analysis techniques. A scale index is worked out assuming technologies with constant, variable, and decreasing returns. The conclusions are limited, as the analyzed period of time was too short. The disaggregation of the productivity change in 2 components shows tendencies with different signs for each sub-period and for each component. The average results obtained exhibit a considerable decrease in total productivity over the airport sector during the period.
Phenotypes of Myopathy-Related Beta-Tropomyosin Mutants in Human and Mouse Tissue Cultures

Mutations in TPM2 result in a variety of myopathies characterised by variable clinical and morphological features. We used human and mouse cultured cells to study the effects of β-TM mutants. The mutants induced a range of phenotypes in human myoblasts, which generally changed upon differentiation to myotubes. Human myotubes transfected with the E41K-β-TMEGFP mutant showed perinuclear aggregates. The G53ins-β-TMEGFP mutant tended to accumulate in myoblasts but was incorporated into filamentous structures of myotubes. The K49del-β-TMEGFP and E122K-β-TMEGFP mutants induced the formation of rod-like structures in human cells. The N202K-β-TMEGFP mutant failed to integrate into thin filaments and formed accumulations in myotubes. The accumulation of mutant β-TMEGFP in the perinuclear and peripheral areas of the cells was the striking feature in C2C12. We demonstrated that human tissue culture is a suitable system for studying the early stages of altered myofibrilogenesis and morphological changes linked to myopathy-related β-TM mutants. In addition, the histopathological phenotype associated with expression of the various mutant proteins depends on the cell type and varies with the maturation of the muscle cell. Further, the phenotype is a combinatorial effect of the specific amino acid change and the temporal expression of the mutant protein.
Physics-Based Design and Optimization of Schottky Diode Frequency Multipliers for Terahertz Applications

Planar Schottky diode frequency multipliers are by far the most employed devices for local oscillator (LO) power generation at terahertz frequencies. In order to push up to the limit the available LO power at terahertz frequencies, the use of accurate physics-based simulation tools is highly necessary to develop multiplier circuits with the highest performance. This paper investigates the potential capabilities of Schottky multipliers for LO power generation up to 2.4 THz by means of an in-house computer-aided design tool that combines harmonic balance techniques with an accurate physics-based numerical model of the semiconductor device. According to numerical simulation results, a 32-μW LO power could be theoretically achieved with a 2.4-THz LO chain at room temperature from a 150-mW W-band solid-state LO source. This demonstrates that there is still a broad margin for the improvement of state-of-the-art terahertz LO power sources.
Using Ternary Trees in Logic Synthesis

We introduce a new efficient minimization method fo r functions described by many (up to millions) product terms. The algorithm is ba sed on processing a newly proposed efficient representation of a set of product terms ‐ a ternary tree. The minimization procedure is based on a fast application of basic Boolean ope rations upon the ternary tree, combined with algorithms used in the Espresso minimizer. Min imization of incompletely specified functions is supported as well. The minimization me thod was tested on randomly generated large sums-of-products and collapsed ISCAS benchmar k circuits. The performance of the proposed algorithm was compared with Espresso.