Miracle-dz/UniFAR-FTUs huggingface dataset:
Grounded politics: some thoughts on feminist process in the information age

Earlier versions of this paper were presented at the UK WomeNs Studies Network Conference (July 1999), the University of Bradford's 'Gendering the globalisation debate' seminar series (Nov. 1999), the University of Canterbury's sociology seminar series (April 2000), and seminar five ('Democratising ICTs: Community based initiatives for womeN) within the ESRC seminar series: Equal Opportunities On-Line: The Impact of Gender Relations on the Design and Use of Information and Communication Technologies, held at the University ofTeesside, 5th December 2000. Thanks to the participants at these events for their useful feedback. Thanks to Clare Beckett and Libby Wrighton for their helpful comments, and also to workshop participants at the 'Online for Change? ' and the Women Connect conferences.
Error analysis of background adaption

Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction techniques, researchers have developed techniques to update the background model and also developed probabilistic/statistical approaches for thresholding the difference. This paper presents an error analysis of this type of background modeling and pixel labeling, providing both theoretical analysis and experimental validation. Evaluation is centered around the tradeoff of probability of false alarm and probability of miss detection, and this paper shows how to efficiently compute these probabilities front simpler values that are more easily measured. It includes an analysis for both static and dynamic background modeling. The paper also examines the assumptions of Gaussian and mixture of Gaussian models for a pixel.
Analysis of Download Accelerator Plus (DAP) for Forensic Artefacts

Download Accelerator Plus (DAP) is one of the most popular download managers [1] due to its free availability, download speed and versatility. This software records download activities across multiple files which include history, registry, RAM, swap and temporary files. This paper analyzes a) the log files (with .DAT extension), b) windows registry entries, and c) RAM and swap files from forensic view point. We also look at tools and techniques for extracting evidence. This research work describes a number of traces left behind after the use of DAP such as install location, download path, downloaded files and menu extensions to name a few, enabling digital investigators to search and interpret download activities. Moreover the study is supported by a tool, DAP Forensic Artefact Colletor (DAPFAC), that assists forensic examiners by providing valuable information which is retrieved from the windows registry and history files on the basis of analysis performed. The widespread use of DAP makes this analysis, an attractive option, ranging from law enforcement agencies to employees monitoring manager.
ALGORITHM FOR IMAGE CONTENT RETRIEVAL BASED ON SHAPE AND TEXTURE FEATURES

A content-based image retrieval algorithm is propos ed after researching feature extraction of image te xtur , shape feature extraction and relevance feedback alg orithm. Fourier transform is used in the feature extraction of the texture. Boundary moments to dete ct the image boundaries is used in the feature extr action of the shape, similarity measuring function is used in image similarity match. And the introduction of relevance feedback algorithm in order to allow user s to interact with the query system for image retri eval system to increase the adaptability features.
Three Years of Evolution : Cryptanalysis with COPACOBANA

In this paper, we review three years of development and improvements on COPACOBANA, the probably most popular, reconfigurable cluster system dedicated to the task of cryptanalysis. Latest changes on the architecture involve modifications for larger and more powerful FPGA devices with dedicated 32 MB of external RAM and point-to-point communication links for improved data throughput. We outline how advanced cryptanalytic applications, such as Time-Memory Tradeoff (TMTO) attacks or attacks on asymmetric cryptosystems, can benefit from these new architectural improvements.
High-resolution panoramic movie generation from video streams acquired by an omnidirectional multi-camera system

Telepresence systems using an omnidirectional image sensor enable us to experience remote sites with rich sensation. An omnidirectional multi-camera system is more useful for acquiring high-resolution omnidirectional images of outdoor scenes than a monocular camera system. However, exact calibration of the camera system is necessary to generate a panoramic movie. In this paper, we describe a panoramic movie generation method based on geometric and photometric calibration of the omnidirectional multi-camera system. A prototype of a telepresence system is also shown as applications of generated panoramic movies. This high-resolution telepresence system has been proven to enable us to experience remote sites with rich presence.
A Hierarchical Bag-of-Words Model Based on Local Space-Time Features for Human Action Recognition

This paper presents an improved hierarchical bag-of-words model based on local space-time features to generate multi-level features, in which higher-level features are generated by lower-level feature neighborhoods. An improved method is developed to extract low-level local space-time features, in which the concept of video orthogonal planes is introduced, and interest points are detected on video orthogonal planes. A weighted function is utilized to integrate the descriptors in cuboids extracted around interest points to form the lowest level local features. Multi-level features generated by the hierarchical bag-of-words model are combined to represent actions in a video for action recognition. Experimental results carried on KTH and Weizmann datasets demonstrate that our method yield higher recognition rate.
Cognitive performance in recreational ecstasy polydrug users: a two-year follow-up study

There is important preclinical evidence of long lasting neurotoxic and selective effects of ecstasy MDMA on serotonin systems in non-human primates. In humans long-term recreational use of ecstasy has been mainly associated with learning and memory impairments. The aim of the present study was to investigate the neuropsychological profile associated with ecstasy use within recreational polydrug users, and describe the cognitive changes related to maintained or variable ecstasy use along a two years period. We administered cognitive measures of attention, executive functions, memory and learning to three groups of participants: 37 current polydrug users with regular consumption of ecstasy and cannabis, 23 current cannabis users and 34 non-users free of illicit drugs. Four cognitive assessments were conducted during two years. At baseline, ecstasy polydrug users showed significantly poorer performance than cannabis users and non-drug using controls in a measure of semantic word fluency. When ecstasy users were classified according to lifetime use of ecstasy, the more severe users (more than 100 tablets) showed additional deficits on episodic memory. After two years ecstasy users showed persistent deficits on verbal fluency, working memory and processing speed. These findings should be interpreted with caution, since the possibility of premorbid group differences cannot be entirely excluded. Our findings support that ecstasy use, or ecstasy/cannabis synergic effects, are responsible for the sub-clinical deficits observed in ecstasy polydrug users, and provides additional evidence for long-term cognitive impairment owing to ecstasy consumption in the context of polydrug use.
Experimentation and analysis of time series data from multi-path robotic environment

Autonomous mobile robots are increasingly used in many application areas. In most applications, they have to explore and gather knowledge about the environment they are deployed in. These robots transfer real time data about the environment continuously. This paper discusses a set of experiments that have been carried out to simulate various robotic environments. A robot attached with four sensors is used to collect information about the environment as the robot moves in multiple straight line paths. Time series data collected from these experiments are clustered using data mining techniques. Experimental results show clustering accuracies vary depending on the number of clusters formed.
SDGen: Mimicking Datasets for Content Generation in Storage Benchmarks

Storage system benchmarks either use samples of proprietary data or synthesize artificial data in simple ways (such as using zeros or random data). However, many storage systems behave completely differently on such artificial data than they do on real-world data. This is the case with systems that include data reduction techniques, such as compression and/or deduplication. To address this problem, we propose a benchmarking methodology called mimicking and apply it in the domain of data compression. Our methodology is based on characterizing the properties of real data that influence the performance of compressors. Then, we use these characterizations to generate new synthetic data that mimics the real one in many aspects of compression. Unlike current solutions that only address the compression ratio of data, mimicking is flexible enough to also emulate compression times and data heterogeneity. We show that these properties matter to the system's performance. In our implementation, called SDGen, characterizations take at most 2.5KB per data chunk (e.g., 64KB) and can be used to efficiently share benchmarking data in a highly anonymized fashion; sharing it carries few or no privacy concerns. We evaluated our data generator's accuracy on compressibility and compression times using real-world datasets and multiple compressors (lz4, zlib, bzip2 and lzma). As a proof-of-concept, we integrated SDGen as a content generation layer in two popular benchmarks (LinkBench and Impressions).
Cytoplasmic Inclusions of Htt Exon1 Containing an Expanded Polyglutamine Tract Suppress Execution of Apoptosis in Sympathetic Neurons

Proteins containing extended polyglutamine repeats cause at least nine neurodegenerative disorders, but the mechanisms of disease-related neuronal death remain uncertain. We show that sympathetic neurons containing cytoplasmic inclusions formed by 97 glutamines expressed within human huntingtin exon1–enhanced green fluorescent protein (Q97) undergo a protracted form of nonapoptotic death that is insensitive to Bax deletion or caspase inhibition but is characterized by mitochondrial dysfunction. By treating the neurons with combined cytosine arabinoside and NGF withdrawal, we demonstrate that Q97 confers a powerful resistance to apoptosis at multiple levels: despite normal proapoptotic signaling (elevation of P-ser15–p53 and BimEL), there is no increase of Puma mRNA or Bax activation, both necessary for apoptosis. Even restoration of Bax translocation with overexpressed Puma does not activate apoptosis. We demonstrate that this robust inhibition of apoptosis is caused by Q97-mediated accumulation of Hsp70, which occurs through inhibition of proteasomal activity. Thus, apoptosis is reinstated by short hairpin RNA-mediated knockdown of Hsp70. These findings explain the rarity of apoptotic death in Q97-expressing neurons. Given the proteasomal blockade, we test whether enhancing lysosomal-mediated degradation with rapamycin reduces Q97 accumulation. Rapamycin reduces the amount of nonpathological Q25 by 70% over 3 d, but Q97 accumulation is unaffected. Interestingly, Q47 inclusions form more slowly as a result of constitutive lysosomal degradation, but faster-forming Q97 inclusions escape lysosomal control. Thus, cytoplasmic Q97 inclusions are refractory to clearance by proteasomal and lysosomal systems, leading to a toxicity that dominates over neuroprotective Hsp70. Our findings may explain the rarity of apoptosis but the inevitable cell death associated with polyQ inclusion diseases.
Mathematical Models of Cognitive Space and Time

This paper explores reasoning about space and time, e.g., in metaphors of time as space; an important method is to find minimal assumptions needed to reach the same conclusions that humans reach. Some mathematical language, including the notion of triad, is introduced for this purpose, formalizing and generalizing the cognitive semantics approaches to conceptual spaces (in the senses of both Fauconnier & Turner and of Gärdenfors), blending, and metaphor; in particular, continuous mathematics is used to model space and time. A new explanation of emergent structure in blend spaces is also discussed, and proposed as a source of creativity. Four main examples illustrate the approach, and an appendix encapsulates the most difficult mathematics.
Anxiety vulnerability is associated with altered anterior cingulate response to an affective appraisal task

The anterior cingulate cortex (ACC) is critically involved not only in affective and anxiety processing, but also in error and conflict monitoring. To investigate how anxiety interacts with processing affective ambiguity, 15 anxious and 15 nonanxious individuals were scanned while performing a validated affective appraisal task, in which the fraction of faces of a particular affect or gender was parametrically controlled to provide various levels of ambiguity. The anxious group showed less ventral and greater dorsal ACC activation during ambiguous affective relative to ambiguous gender stimuli. For anxious individuals, dorsal ACC activation was related to a more biased response. Collectively, these data indicate that anxious individuals activate the dorsal and ventral components of the ACC differently during affective appraisal.
Genetic Testing, Including Chromosomal Microarray Analysis and Next-Generation Sequencing Panels, for Prenatal Evaluation and the Evaluation of Children with Developmental Delay/Intellectual Disability or Autism Spectrum Disorder

The following Protocol contains medical necessity criteria that apply for this service. It is applicable to Medicare Advantage products unless separate Medicare Advantage criteria are indicated. If the criteria are not met, reimbursement will be denied and the patient cannot be billed. Preauthorization is required. Please note that payment for covered services is subject to eligibility and the limitations noted in the patient’s contract at the time the services are rendered.
Learning long-term temporal features in LVCSR using neural networks

Incorporating long-term (500-1000 ms) temporal information using multi-layered perceptrons (MLPs) has improved performance on ASR tasks, especially when used to complement traditional short-term (25-100 ms) features. This paper further studies techniques for incorporating long-term temporal information in the acoustic model by presenting experiments showing: 1) that simply widening acoustic context by using more frames of full band speech energies as input to the MLP is suboptimal compared to a more constrained two-stage approach that first focuses on long-term temporal patterns in each critical band separately and then combines them, 2) that the best two-stage approach studied utilizes hidden activation values of MLPs trained on the log critical band energies (LCBEs) of 51 consecutive frames, and 3) that combining the best two-stage approach with conventional short-term features significantly reduces word error rates on the 2001 NIST Hub-5 conversational telephone speech (CTS) evaluation set with models trained using the Switchboard Corpus.
An Examination of Personality Traits Among Student Leaders and Nonleaders

Previous research has shown a relation between leadership and characteristics such as extroversion, conscientiousness, and agreeableness in many populations. This study attempted to extend these findings to a general college population. Ninetynine undergraduates (36 leaders and 63 nonleaders) participated in this study. Previous research suggested leaders would exhibit higher levels of extroversion, agreeableness, and conscientiousness than peer nonleaders. Results did not show significant relations between leadership and either extroversion or agreeableness. However; traders scored higher on a measure of conscientiousness than nonleaders. Conscientiousness appears to distinguish student leaders from nonleaders.
The use of small-sided games to assess skill proficiency in youth soccer players: a talent identification tool

ABSTRACT Purpose: This study adopted an exploratory approach to investigate the use of small-sided games as a talent identification tool to determine youth soccer players’ skill proficiency. Methods: A total of 73 male youth soccer players (age = 13.3 ± 1.2 years) were subdivided into two groups in accordance with their playing level (high-level: n = 36, low-level: n = 37). Within their levels, players completed 4 vs. 4 small-sided games on a 30 × 20 m playing surface under two conditions (condition 1: 5 × 3 min, condition 2: 3 × 5 min). Attempted and completed skill involvements were analysed using retrospective video analysis. Skill proficiency was determined as the total completed involvements relative to amount attempted. Results: Repeated measures multivariate analysis of variance identified that high-level players displayed a significantly greater number of attempted and completed passes, touches, and total skill involvements compared with low-level players. Only the number of attempted passes and total involvements differed between conditions for high-level players. High-level players’ total skill proficiency was significantly greater than their lower level counterparts. Conclusion: This study supports the use of small-sided games as a tool to assess soccer-specific skill proficiency, which coaches and sporting practitioners can apply in a talent identification setting.
Migrant Students’ Emergent Conscientization Through Critical, Socioculturally Responsive Literacy Pedagogy

This article analyzes data from a summer literacy program for intermediate and middle-level children of migrant farmworkers. The program was grounded in a sociocultural perspective on literacy, stressing the importance of interaction and collaboration within socioculturally responsive pedagogy, using enabling literature to empower students. Adaptations of readers’ and writers’ workshop methods, emphasizing the significance of valuing students’ individual responses, were used throughout. The students were presented with a documentary, young adult novels, and more than two dozen children’s picture storybooks representing the lives of migrant farmworkers. Then, using their own responses to these enabling mentor texts as scaffolding, the students collaborated to create illustrated narratives about growing up as migrants. The program provided a safe space that encouraged migrant students to express their experiences and concerns—normally silenced in classrooms—during literacy tasks and empowered them to ask for support. The program demonstrated the benefits of combining socioculturally responsive critical literacy pedagogy with enabling instructional materials in the development of emergent conscientization among the students. Finally, this article shows how the migrant students’ perspectives and experiences can inform and challenge teachers, citizens, and policy makers to address the systemic injustices in the lives of migrant children.
Anxiety Sensitivity and Disabling Chronic Health Conditions State of the Art and Future Directions

Anxiety sensitivity (AS) is a construct that denotes an individual difference in fear of anxiety. Most research into the AS construct has focused on its association with panic attacks, panic disorder and several other psychiatric disorders. There has been growing interest recently in AS as an important factor in the maintenance and exacerbation of morbidity associated with some disabling chronic health conditions (e.g. gastrointestinal dysfunction, asthma, vestibular dysfunction and chronic pain). The purposes of this paper are (a) to provide a brief overview of the theoretical framework within which the AS and chronic health condition literature can be synthesized, (b) to review the existing literature regarding AS and chronic health conditions and (c) to offer recommendations for assessment and treatment. Theoretically and practically relevant directions for future investigation are provided throughout the review.
Optimal efficiency of fuel cell/battery hybrid power management

This paper proposes an optimal efficiency of fuel cell/battery hybrid power management system. The research evaluated the characteristics of fuel cell and battery to predict the efficiency and state of charge. The optimization hybrid power management controls the percentage of each power according to the demand power and efficiency. The simulation results show the proposed strategy achieves the goal of promoting the efficiency of hybrid power management.
Attestation in Wireless Sensor Networks

Attestation is a mechanism used by a trusted entity to validate the software integrity of an untrusted platform. Over the past few years, several attestation techniques have been proposed. While they all use variants of a challenge-response protocol, they make different assumptions about what an attacker can and cannot do. Thus, they propose intrinsically divergent validation approaches. We survey in this article the different approaches to attestation, focusing in particular on those aimed at Wireless Sensor Networks. We discuss the motivations, challenges, assumptions, and attacks of each approach. We then organise them into a taxonomy and discuss the state of the art, carefully analysing the advantages and disadvantages of each proposal. We also point towards the open research problems and give directions on how to address them.
Tool support for clustering large meta-models

Ever-growing requirements, long-term evolution and modernization of software projects lead to meta-models of remarkable size, being difficult to comprehend and maintain. This paper presents a tool that supports the decomposition of a meta-model into clusters of model elements. Methods proposed in the research area of graph clustering, aiming at the desired properties of high cohesion and low coupling, have been integrated in the tool. The methods are customized not only to utilize the underlying graph structure, but also the semantic information given in meta-models. An evaluation of the tool is provided in terms of a case study.
2D MHD simulation of the magnetic dipole tilt and IMF influence on the magnetosphere

Global magnetohydrodynamic (MHD) models, developed to solve the magnetospheric configuration and provide a self-consistent picture of the solar windmagnetosphere interaction, has been successfully used for the past decades. Here, we modified a 2D MHD code to include a magnetic dipole tilt angle different from zero. Our goal is to investigate the formation of the earth’s magnetosphere for different magnetic dipole tilt and interplanetary magnetic field (IMF) configurations. Our results for the effects of the magnetic dipole inclination on the magnetosphere structure, considering null IMF and three different tilt angles, are consistent with previous works. The position of the magnetospheric current system is dependent on the magnetic dipole tilt. Introducing IMF into the system intensifies or decreases those current systems. The variation of the density current intensity ocurrs for opposite directions for northward and southward IMF condition. Those intensifications are coincident with regions predicted by the reconnection theory.