Miracle-dz/UniFAR-FTUs huggingface dataset:
Ising spin-grass error correction for unreliable nanoelectronic logic circuits

This paper presents a fault and defect tolerance technique based on Ising spin-grass (ISG) for nanoelectronic logic circuits. An equivalent fault and defect-tolerant circuit of a logic circuit is constructed by cascading an input transformation circuit, a redundant circuit, and an ISG which corrects errors caused in the redundant circuit. We built combinatorial and sequential circuits of this structure and evaluated the error correction performance of their internal ISGs. The ISG exhibits high performance on correcting both permanent defect and transient errors in combinatorial circuits. The ISG has error correction capability also in sequential circuits when the rate of errors in the ISG itself is low.
Evidence for Differential Assortative Female Preference in Association with Refugial Isolation of Rainbow Skinks in Australia's Tropical Rainforests

Background Divergence driven by female preference can give rise to pre-mating isolation more rapidly than post-mating isolation can evolve through the accumulation of allelic incompatibilities. Moreover pre-mating isolation may be more effective at maintaining morphological differentiation between divergent populations. In the context of Australian rainforest endemic skinks that were historically subjected to refugial isolation, this study examined the following predictions: 1) that assortative female preference is associated with more recent divergence of southern C. rubrigularis (S-RED) and C. rhomboidalis (BLUE), but not with deeply divergent S-RED and northern C. rubrigularis (N-RED); and 2) that upon secondary contact, morphological differentiation is maintained between S-RED and BLUE, whereas N-RED and S-RED remain morphogically indistinguishable. Principal Findings Female preference trials found no evidence for assortative female preference between N-RED and S-RED, supporting a previous genetic hybrid zone study which inferred post-mating but no pre-mating isolation. In contrast there is evidence for assortative female preference between S-RED and BLUE, with BLUE females preferring to associate with BLUE males, but S-RED females showing no preference. Multi-locus coalescent analyses, used to estimate post-divergence gene-flow between proximally located S-RED and BLUE populations, rejected zero gene-flow from BLUE to S-RED and thus RED and BLUE have maintained morphological differentiation despite secondary contact. Morphometric analyses confirmed a lack of morphological divergence between N-RED and S-RED and established that BLUE is morphologically divergent from RED in traits other than throat colour. Conclusions/Significance Long-term isolation has been sufficient to generate post-mating isolation but no morphological divergence between N-RED and S-RED. In contrast, greater morphological differentiation is associated with evidence for assortative female preference between more recently diverged S-RED and BLUE. Combined with previous estimates of lineage-wide gene flow, these results are consistent with the suggestion that assortative female preference is more effective than post-mating isolation in maintaining morphological differentiation between divergent populations.
Design and Development of Energy Measurement System based on the Android Platform

In late years, smart-devices became very popular. This paper presents an application of power monitoring system using android application, which is convenient and efficient to achieve visualization of real time signals that are received from smart meters via GSM module. This application can be used by the consumer for measurement of electrical usage in the house and control their power usages accordingly. In this the analog data is converted to digital data with the help of inbuilt ADC and passes it to the Microcontroller This application, built with wireless signals to mobile via GSM technology on the Android platform. Android base cell phones itself go about as a transmitter and receiver using ATmega16 microcontroller, power supply and GSM SIM300.
Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors

Within-die process variation causes individual cores in a chip multiprocessor (CMP) to differ substantially in both static power consumed and maximum frequency supported. In this environment, ignoring variation effects when scheduling applications or when managing power with dynamic voltage and frequency scaling (DVFS) is suboptimal. This paper proposes variation-aware algorithms for application scheduling and power management. One such power management algorithm, called LinOpt, uses linear programming to find the best voltage and frequency levels for each of the cores in the CMP - maximizing throughput at a given power budget. In a 20-core CMP, the combination of variation-aware application scheduling and LinOpt increases the average throughput by 12-17% and reduces the average ED2 by 30-38% - all relative to using variation-aware scheduling together with a simple extension to Intel's Foxton power management algorithm.
Mixed Bundling in Two-Sided Markets in the Presence of Installed Base Effects

We analyze mixed bundling in two-sided markets where installed base effects are present and find that the pricing structure deviates from traditional bundling as well as the standard two-sided markets literature---we determine prices on both sides fall with bundling. Mixed bundling acts as a price discrimination tool segmenting the market more efficiently. Consequently, as a by-product of this price discrimination, the two sides are better coordinated, and social welfare is enhanced. We show unambiguously that platform participations increase on both sides of the market. After theoretically evaluating the impact mixed bundling has on prices and welfare, we take the model predictions to data from the portable video game console market. We find empirical support for all theoretical predictions. This paper was accepted by J. Miguel Villas-Boas, marketing.
CogniMouse: On Detecting Users' Task Completion Difficulty through Computer Mouse Interaction

This paper presents a method for analyzing users' computer mouse interaction data with the aim to implicitly identify task completion difficulty while interacting with a system. Computer mouse motion streams and users' skin conductance signals, acquired via an in-house developed computer mouse, and users' feedback were investigated as reactions to task difficulty raising events. A classification algorithm was developed, producing real-time user models of user hesitation states. Preliminary results of a study in progress with seven older adults at work (age 56+) provide initial indications about links between mouse triggering states of user hesitation and task completion difficulty.
Information Retrieval by Document Re-ranking using Term Association Graph

Most of the Information Retrieval techniques are based on representing the documents using the traditional vector space model i.e. bag-of-words model. In this paper, associations among words in the documents are assessed and it is expressed in term graph model to represent the document content and the relationship among the keywords. Most modern web search engines typically employ two-level ranking strategy. Firstly, an initial list of documents is prepared using a low-quality ranking function with consumes less computation. Secondly, initial list is then re-ranked by machine learning algorithms which involve expensive computation. This paper experiments the second level of ranking strategy which exploits term graph data structure to assess the importance of a document for the user query and thus documents are re-ranked according to the association and similarity exists among the documents. The proposed algorithms achieve promising results within the top 10 search results.
Measurement of the Staff Resilience of the Technological Institute Lázaro Cárdenas

The objective of this chapter is to show the importance and measurement of the resilience of the personnel of the Technological Institute of Lázaro Cárdenas Michoacán in scale of Resilience Mexican (RESI-M). An analytical review is made about resilience, with emphasis on central aspects such as its origin, definition, and the factors that determine the application of resilience, indicators, and disruptive situations. The models that establish different authors, classified in size and factors of resilience, follow different patterns according to sex, age, and schooling. A group of 100 top-level teachers was evaluated. The authors conclude that the level of resilience in women and men is significant.
Identiﬁcation and Characterization of Newsworthy Verbs in World News

We present a data-driven technique for acquiring domain-level importance of verbs from the analysis of abstract/article pairs of world news articles. We show that existing lexical resources capture some the semantic characteristics for important words in the domain. We develop a novel characterization of the association between verbs and personal story narratives, which is descriptive of verbs avoided in summaries for this domain.
Combinatorial and Geometrical Aspects of Hyperbolic 3-manifolds

This is the edited and revised form of handwritten notes that were distributed with the lectures that I gave at the workshop on Kleinian Groups and Hyperbolic 3-Manifolds in Warwick on September 11-15 of 2001. 1 The goal of the lectures was to expose some recent work [Min] on the structure of ends of hyperbolic 3-manifolds, which is part of a program to solve Thurston's Ending Lamination Conjecture (the conclusion of the program, which is joint work with J. Brock and R. Canary, will appear in [BCM]). In the interests of simplicity and the ability to get to the heart of the matter, the notes are quite informal in their treatment of background material, and the main results are often stated in special cases, with detailed examples taking the place of proofs. Thus it is hoped that the reader will be able to extract the main ideas with a minimal investment of effort, and in the event he or she is still interested, can obtain the details in [Min], which will appear later on. I would like to thank the organizers of the conference for inviting me and giving me the opportunity to talk for what must have seemed like a very long time. If the interior N of a compact 3-manifold N admits a complete infinite-volume hyperbolic structure, then there is a multidimensional deformation space of such structures. The study of this space goes back to Poincaré and Klein, but the modern theory began with Ahlfors-Bers in the 1960's and received the perspective that we will focus on from Thurston and others in the late 70's. The deformation theory depends deeply on an understanding of the geometry of the ends of N (in the sense of Freudenthal [Fre42]), which one can think of as small neighborhoods of the boundary components of N. 1 The terrible events in New York that coincided with the beginning of this conference overshadow its subject matter in significance, and yet those same events demand of us to continue with our ordinary work. 1 2 YAIR N. MINSKY – that is, by choosing a " conformal structure at infinity " for each (non-toroidal) boundary component of N. (See also [KS93] and [BO01] for other approaches to the study of the interior). The boundary contains manifolds with parabolic cusps [Mas70, McM91], and more generally, with geometrically infinite ends [Ber70a, Gre66, Thu82a]. The Teichmüller parameter is replaced …
Multilayer Based Technology to Build RTD Fluxgate Magnetometer

In this paper we discuss the main features of the Residence Times Difference Fluxgate Magnetometer. A low-cost technology, negligible onboard power requirements and the intrinsic digital form of the readout signal are the main advantages of the proposed strategy. Results obtained show the possibility to realise low-cost devices exploiting Printed Circuit Board (PCB) technology for applications requiring resolution in the nanotesla range as the ferrous object (or particles) detection, being the performance obtained suitable to detect the presence or the transit of ferrous materials via their interaction with the geomagnetic field.
Participation of a novel 88-kD protein in the biogenesis of murine class I histocompatibility molecules

Chemical cross-linking and gel permeation chromatography were used to examine early events in the biogenesis of class I histocompatibility molecules. We show that newly synthesized class I heavy chains associate rapidly and quantitatively with an 88-kD protein in three murine tumor cell lines. This protein (p88) does not appear to possess Asn-linked glycans and it is not the abundant ER protein, GRP94. The class I-p88 complex exists transiently (t1/2 = 20-45 min depending on the specific class I heavy chain) and several lines of evidence suggest that p88 dissociates from the complex while still in the ER. Dissociation is not triggered upon binding of beta 2-microglobulin to the heavy chain (t1/2 = 2-5 min). However, the rate of dissociation does correlate with the characteristic rate of ER to Golgi transport for the particular class I molecule studied. Consequently, dissociation of p88 may be rate limiting for ER to Golgi transport. Class I molecules bind antigenic peptides, apparently in the ER, for subsequent presentation to cytotoxic T lymphocytes at the cell surface. p88 could promote peptide binding or it may retain class I molecules in the ER during formation of the ternary complex of heavy chain, beta 2- microglobulin, and peptide.
Features and Model Adaptation Techniques for Robust Speech Recognition: A Review

In this paper, major speech features used in state-of-the-art technology in speech recognition research are reviewed. Also a brief review of major technological advancements during last few decades and a trend towards development of robust speech recognition system in terms of feature and model adaptation techniques is given. It has been the dream of researchers to develop a machine that recognizes speech and understands natural language like human but the reality is that the performance of the speech recognition system drastically degrades due to various adverse conditions like noise, variability in speaker, channel, device and mismatches in training and testing. This paper may be useful as a tutorial and review on state-of-the-art techniques for feature selection, feature normalization and model adaptation techniques for development of robust speech recognition system.
A STUDY OF TWO-/ONE-FORM SUPERFIELDS

We study two supersymmetric toy models of a k-form superfield, k=2,1 separately. By "solving" Jacobi identities, we show that each model is completely solvable, possesses a severely constrained kinematics, and gives a rigid representation of the supersymmetry algebra. This study of the toy models is motivated by our reanalysis on supersymmetry algebras in gauge theories where we discuss internal symmetry generators carrying space–time/spinor indices.
Immunoglobulin E plays an immunoregulatory role in lupus

Dema et al. show evidence that deficiency of IgE delays lupuslike disease development and severity, as demonstrated by reduced autoantibody production and amelioration of organ pathologies. Loss of IgE causes a striking decrease in innate immune cell infiltration in secondary lymphoid organs and decreased activation of T cells and basophils.
Simultaneous Measurement and Integrated Analysis of Analgesia and Respiration after an Intravenous Morphine Infusion

Background:To study the influence of morphine on chemical control of breathing relative to the analgesic properties of morphine, the authors quantified morphine-induced analgesia and respiratory depression in a single group of healthy volunteers. Both respiratory and pain measurements were performed over single 24-h time spans. Methods:Eight subjects (four men, four women) received a 90-s intravenous morphine infusion; eight others (four men, four women) received a 90-s placebo infusion. At regular time intervals, respiratory variables (breathing at a fixed end-tidal partial pressure of carbon dioxide of 50 mmHg and the isocapnic acute hypoxic response), pain tolerance (derived from a transcutaneous electrical acute pain model), and arterial blood samples were obtained. Data acquisition continued for 24 h. Population pharmacokinetic (sigmoid Emax)–pharmacodynamic models were applied to the respiratory and pain data. The models are characterized by potency parameters, shape parameters (&ggr;), and blood–effect site equilibration half-lives. All collected data were analyzed simultaneously using the statistical program NONMEM. Results:Placebo had no systematic effect on analgesic or respiratory variables. Morphine potency parameter and blood–effect site equilibration half-life did not differ significantly among the three measured effect parameters (P > 0.01). The integrated NONMEM analysis yielded a potency parameter of 32 ± 1.4 nm (typical value ± SE) and a blood–effect site equilibration half-life of 4.4 ± 0.3 h. Parameter &ggr; was 1 for hypercapnic and hypoxic breathing but 2.4 ± 0.7 for analgesia (P < 0.01). Conclusions:Our data indicate that systems involved in morphine-induced analgesia and respiratory depression share important pharmacodynamic characteristics. This suggests similarities in central &mgr;-opioid analgesic and respiratory pathways (e.g., similarities in &mgr;-opioid receptors and G proteins). The clinical implication of this study is that after morphine administration, despite lack of good pain relief, moderate to severe respiratory depression remains possible.
Resiliency Training in Portuguese Army Basic Instruction: The Role of Military Cohesion, Self-Esteem and Anxiety

The present study aims to explore the impact of military training on the psychological resilience of army Treino da resistência psicológica na recruta militar em Portugal: o papel da coesão militar, da autoestima e da ansiedade na resiliência* Resiliency Training in Portuguese Army Basic Instruction: The Role of Military Cohesion, Self-Esteem and Anxiety Entrenamiento de la Resistencia Psicológica en el Reclutamiento Militar en Portugal: el Papel de la Cohesión Militar, de la Autoestima y de la ansiedad en la resiliencia Célia M. D. Sales**, Alexandra Saraiva***, Luís Faísca**** Doi: http://dx.doi. org/10.12804/revistas.urosario. edu.co/apl/a.3626 * O estudo apresentado neste artigo foi conduzido durante a realização da Monografia da Licenciatura Pré-Bolonha em Psicologia Clínica (Universidade Autónoma de Lisboa), elaborada em 2008 sob a orientação de Célia Sales e a coorientação de José da Silva Pinto. Especial agradecimento à Instituição Militar por proporcionar a hipótese de efetuar este estudo nas suas unidades, disponibilizando todo o auxílio necessário. Este estudo foi parcialmente financiado pela Fundação para a Ciência e a Tecnologia (fct uid/psi/00050/2013 e uid/bim/04773/2013) e pelos programas eu feder e compete (poci-01-0145-feder-007294). ** Faculdade de Psicologia e de Ciências da Educação da Universidade do Porto (fpceup), Centro de Psicologia da Universidade do Porto (cpup), Portugal. Correio electrônico: celiasales@fpce.up. pt *** Departamento de Psicologia e Sociologia, Universidade Autónoma de Lisboa, Portugal. Correio electrônico: alexandrasaraiva@ gmail.com **** Centro de Investigação em Biomedicina (cbmr) e Departamento de Psicologia e Ciências da Educação da Universidade do Algarve, Portugal. Correio electrônico: lfaisca@ualg.pt Cómo citar este artículo: Sales, C. M. D. , Saraiva, A. , & Faísca, L. (2017). Treino da resistência psicológica na recruta militar em Portugal: o papel da coesão militar, da autoestima e da ansiedade na resiliência. Avances en Psicología Latinoamericana, 35(2), 317-337. doi: http://dx.doi. org/10.12804/revistas.urosario. edu.co/apl/a.3626
What are the learning affordances of 3-D virtual environments?

Barney Dalgarno is a research fellow with the Centre for Research in Complex Systems (CRiCS), Charles Sturt University, and an associate professor with the School of Education at the same university. His research interests lie in desktop virtual reality learning environments, as well as constructivist computerassisted learning theories, techniques and tools. Dalgarno’s PhD work examined the characteristics of 3-D environments and their potential contributions to spatial learning, and he is now studying the application of brain imaging though Functional Magnetic Resonance Imaging (fMRI) to interactive multimedia research. Mark J. W. Lee is an adjunct senior lecturer with the School of Education, Charles Sturt University. Previously, he worked in a variety of teaching, instructional design, and managerial roles within the private vocational education and higher education sectors. He has published approximately 50 refereed book chapters, journal articles, and conference papers in the areas of educational technology, e-learning, and innovative pedagogy in tertiary education. Lee is the Chair of the New South Wales Chapter of the IEEE Education Society and serves as founding Editor-in-Chief of Impact:Journal of Applied Research in Workplace E-learning, in addition to being on the editorial boards of a number of international journals. Address for correspondence: Mark J. W. Lee, School of Education, Charles Sturt University, Locked Bag 588, Wagga Wagga, NSW 2678, Australia. Email: malee@csu.edu. au
Analysis of the Internal Representations in Neural Networks for Machine Intelligence

The internal representation of the training patterns of multi-layer perceptrons was examined and we demonstrated that the connection weights between layers are effectively transforming the representation format of the information from one layer to another one in a meaningful way. The internal code, which can be in analog or binary form, is found to be dependent on a number of factors, including the choice of an appropriate representation of the training patterns, the similarities between the patterns as well as the network structure; i.e. the number of hidden layers and the number of hidden units in each layer.
DeepSAGE—digital transcriptomics with high sensitivity, simple experimental protocol and multiplexing of samples

Digital transcriptomics with pyrophosphatase based ultra-high throughput DNA sequencing of di-tags provides high sensitivity and cost-effective gene expression profiling. Sample preparation and handling are greatly simplified compared to Serial Analysis of Gene Expression (SAGE). We compare DeepSAGE and LongSAGE data and demonstrate greater power of detection and multiplexing of samples derived from potato. The transcript analysis revealed a great abundance of up-regulated potato transcripts associated with stress in dormant potatoes compared to harvest. Importantly, many transcripts were detected that cannot be matched to known genes, but is likely to be part of the abiotic stress-response in potato.
Speech Processing in the Time Domain Using Sparse Autoencoders for Unsupervised Feature Learning And An Additive Model of the Peripheral Auditory System

Human neural perception is unsurpassed in terms of its ability to process complex neural inputs, particularly in vision and audio processing. The brain processes information at a relatively slow rate, on the order of 10’s of Hz, but it does so with a massively parallel structure. Today, convincing evidence exists [1-4, 28] that the brain stores sparse overcomplete “basis vector” representations of input stimuli. The basis vectors are overcomplete as the number of basis vectors is larger than the effective dimensionality of the input space. The “essence of information”, is captured by a linear superposition of these basis vectors.