Miracle-dz/UniFAR-FTUs huggingface dataset:
Entropy of Malayalam language and text compression using Huffman coding

Entropy is a statistical parameter which measures how much information is produced on the average for each letter of a text in the language. Every language normally has certain hidden statistically significant features and certain redundancy. These features can be utilized to form a suitable text compression tool for the optimum use of resources. Being motivated by the language studies of English and other languages based on Shannon theory, an informational analysis of Malayalam language text is done in this paper. Entropy of Malayalam language is calculated and is obtained as 4.8 bits per character. The Malayalam text compressor discussed in this paper, follows Huffman coding technique which takes both Malayalam and English alphabets along with arithmetic numbers and most probable character is represented by less number of bits. It is found that the Huffman compression algorithm achieves a compression ratio of 66 percentage for a standard Malayalam database taken. A comparison is made on compression ratio for different databases taken.
“Clusters” or “communities”? Analysing the spatial agglomeration of video game companies in Australia

In this paper, I question whether agglomerations of video game companies in Australia function as clusters (spatially bound) or rather as communities (not spatially bound). The two case studies included in the analysis are the main agglomerations of video companies in Australia—Brisbane and Melbourne. The data have been collected through 21 semi-structured interviews performed between 2012 and 2014. The main findings are as follows: (1) the primary reason that video game companies come together is to share tacit knowledge and skilled labour; (2) these agglomerations do not have the attributes of “creative clusters”; and (3) new technologies enable experienced game developers to operate at the geographic periphery of the main agglomeration of developers. Therefore, to paint a more accurate picture of why some video game companies are successful—beyond simply positive externalities associated with co-localization—I propose the term “networked communities. ” This recognizes that social networks at varying scales (local, national, international) are being developed by video game firms in order to thrive and reach a global audience.
Time‐domain whole‐field fluorescence lifetime imaging with optical sectioning

A whole‐field time‐domain fluorescence lifetime imaging (FLIM) microscope with the capability to perform optical sectioning is described. The excitation source is a mode‐locked Ti:Sapphire laser that is regeneratively amplified and frequency doubled to 415 nm. Time‐gated fluorescence intensity images at increasing delays after excitation are acquired using a gated microchannel plate image intensifier combined with an intensified CCD camera. By fitting a single or multiple exponential decay to each pixel in the field of view of the time‐gated images, 2‐D FLIM maps are obtained for each component of the fluorescence lifetime. This FLIM instrument was demonstrated to exhibit a temporal discrimination of better than 10 ps. It has been applied to chemically specific imaging, quantitative imaging of concentration ratios of mixed fluorophores and quantitative imaging of perturbations to fluorophore environment. Initially, standard fluorescent dyes were studied and then this FLIM microscope was applied to the imaging of biological tissue, successfully contrasting different tissues and different states of tissue using autofluorescence. To demonstrate the potential for real‐world applications, the FLIM microscope has been configured using potentially compact, portable and low cost all‐solid‐state diode‐pumped laser technology. Whole‐field FLIM with optical sectioning (3D FLIM) has been realized using a structured illumination technique.
Developmental Regulation of Lck Targeting to the CD8 Coreceptor Controls Signaling in Naive and Memory T Cells

The question of whether enhanced memory T cell responses are simply due to an increased frequency of specific cells or also to an improved response at the single cell level is widely debated. In this study, we analyzed T cell receptor (TCR) transgenic memory T cells and bona fide memory T cells isolated from virally infected normal mice using the tetramer technology. We found that memory T cells are qualitatively different from naive T cells due to a developmentally regulated rearrangement of the topology of the signaling machinery. In naive cytotoxic T cells, only a few CD8 molecules are associated with Lck and the kinase is homogeneously distributed inside the cell. However, in vivo priming of naive T cells induces the targeting of Lck to the CD8 coreceptor in the cell membrane and the consequent organization of a more efficient TCR signaling machinery in effector and memory cells.
Thermodynamic control of anvil cloud amount

Significance Assessing the response of clouds to global warming remains a challenge of climate science. Past research has elucidated what controls the height and temperature of high-level anvil clouds, but the factors that control their horizontal extent remained uncertain. We show that the anvil cloud amount is expected to shrink as the climate warms or when convection becomes more clustered, due to a mechanism rooted in basic energetic and thermodynamic properties of the atmosphere. It is supported by three climate models and consistent with results from a cloud-resolving model and observations. We thus believe that this mechanism is robust and that it adds a new piece to understanding how clouds respond to climate warming. General circulation models show that as the surface temperature increases, the convective anvil clouds shrink. By analyzing radiative–convective equilibrium simulations, we show that this behavior is rooted in basic energetic and thermodynamic properties of the atmosphere: As the climate warms, the clouds rise and remain at nearly the same temperature, but find themselves in a more stable atmosphere; this enhanced stability reduces the convective outflow in the upper troposphere and decreases the anvil cloud fraction. By warming the troposphere and increasing the upper-tropospheric stability, the clustering of deep convection also reduces the convective outflow and the anvil cloud fraction. When clouds are radiatively active, this robust coupling between temperature, high clouds, and circulation exerts a positive feedback on convective aggregation and favors the maintenance of strongly aggregated atmospheric states at high temperatures. This stability iris mechanism likely contributes to the narrowing of rainy areas as the climate warms. Whether or not it influences climate sensitivity requires further investigation.
SWI/SNF Subunits SMARCA4, SMARCD2 and DPF2 Collaborate in MLL-Rearranged Leukaemia Maintenance

Alterations in chromatin structure caused by deregulated epigenetic mechanisms collaborate with underlying genetic lesions to promote cancer. SMARCA4/BRG1, a core component of the SWI/SNF ATP-dependent chromatin-remodelling complex, has been implicated by its mutational spectrum as exerting a tumour-suppressor function in many solid tumours; recently however, it has been reported to sustain leukaemogenic transformation in MLL-rearranged leukaemia in mice. Here we further explore the role of SMARCA4 and the two SWI/SNF subunits SMARCD2/BAF60B and DPF2/BAF45D in leukaemia. We observed the selective requirement for these proteins for leukaemic cell expansion and self-renewal in-vitro as well as in leukaemia. Gene expression profiling in human cells of each of these three factors suggests that they have overlapping functions in leukaemia. The gene expression changes induced by loss of the three proteins demonstrate that they are required for the expression of haematopoietic stem cell associated genes but in contrast to previous results obtained in mouse cells, the three proteins are not required for the expression of c-MYC regulated genes.
Leader emergence and effectiveness in virtual workgroups: Dispositional and social identity perspectives.

In today's global competitive environment, many organizations utilize virtual workgroups to overcome geographic and organizational boundaries. Research into their dynamics has received the attention of scholars within multiple disciplines, and the potential for an integrative approach to the study of virtual workgroups exists. This dissertation is a first step towards such an approach. The primary aim of this research is to examine antecedent and contextual factors that affect the emergence and effectiveness of leaders in virtual workgroups. To achieve this aim, an integrative model assembled from theory and empirical findings in leadership, management, social identity, and communications research is posited. Hypothesized relationships depicted in the model identify key dispositional and contextual variables linked to leader emergence, member behavior, and leader effectiveness within virtual workgroups. This study employed a nonexperimental research design, in which leader emergence and social identity manifest as naturally occurring phenomena. Data collection occurred via two web-based surveys administered at different points in time. Hypothesized relationships were tested utilizing correlational and hierarchical moderated multiple regression analyses. The findings of this dissertation suggest that traits, such as personality and cognitive ability, are not associated with leader emergence in virtual workgroups. In addition, the results indicate that the exhibition of relationship-oriented leader behaviors enhances group identity. In turn, identification is associated with increases in perceptions of leader effectiveness and decreases in counterproductive behavior exhibited by group members. This dissertation exposes an important limitation to the application of trait leadership theory. It also demonstrates the importance of relationship-oriented behavior and social identity in virtual contexts. Further, it advances an integrative theoretical model for the study of virtual workgroup phenomena. These contributions should assist and inform other researchers, as well as practitioners, interested in leadership and group member behavior in virtual workgroups.
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks

In this paper, we propose a deep neural network architecture for object recognition based on recurrent neural networks. The proposed network, called ReNet, replaces the ubiquitous convolution+pooling layer of the deep convolutional neural network with four recurrent neural networks that sweep horizontally and vertically in both directions across the image. We evaluate the proposed ReNet on three widely-used benchmark datasets; MNIST, CIFAR-10 and SVHN. The result suggests that ReNet is a viable alternative to the deep convolutional neural network, and that further investigation is needed.
Effects of High Glucose on Insulin Secretion by Isolated Rat Islets and Purified β-Cells and Possible Role of Glycosylation

We investigated the effect of 24 h of exposure to various glucose concentrations on insulin secretion by isolated rat pancreatic islets and purified rat β-cells. Compared with islets cultured with standard medium (5.5 mM glucose), islets cultured with 16.7 mM glucose showed a higher basal insulin release (means ± SE, 3.0 ± 0.5 vs. 0.7 ± 0.2%, n = 8, P < .005) and reduced glucose-stimulated insulin secretion (2.4 ± 0.3 vs. 5.8 ± 0.4%, n = 8, P < .005). Similar results were also obtained with purified β-cells. The effect of high glucose was time dependent (present after 12 h, maximal after 24 h) and reversible: when islets cultured with high glucose were transferred to standard medium, normal responsiveness to glucose was restored within 8 h and normal basal release within 24 h. Mannitol, 3-O-methylglucose, and 2-deoxyglucose were not able to mimic the effects of glucose. Islets or purified β-cells cultured in the presence of high glucose had a normal response when stimulated with glyburide, dibutyryl cyclic AMP, and isobutylmethylxanthine. Tunicamycin, an inhibitor of N-terminal glycosylation, prevented glucose-induced desensitization when added during 24 h of islet culture with 16.7 mM glucose. Swainsonine, another agent that influences glycosylation, had a similar effect. Our study indicates 1) that 24 h of exposure to high glucose induces a specific and reversible impairment of insulin secretion in response to glucose, 2) that this is a direct effect of glucose on β-cells, and 3) that islet glucose metabolism and glycosylation processes may play a critical role in determining glucose desensitization.
A calculus for cryptographic protocols: the spi calculus

We introduce the spi calculus, an extension of the pi calculus designed for describing and analyzing cryptographic protocols. We show how to use the spi calculus, particularly for studying authentication protocols. The pi calculus (without extension) suffices for some abstract protocols; the spi calculus enables us to consider cryptographic issues in more detail. We represent protocols as processes in the spi calculus and state their security properties in terms of coarse-grained notions of protocol equivalence. ] 1999 Academic Press
Learning to Select Negotiation Strategies with Strategic Experts

In many multiagent systems, agents need to negotiate amongst themselves in order to reach agreements. In such systems, agents (or the users they represent) often have private preferences about the negotiation. For instance, agents may have strong preferences for some outcomes over others, and preferences about how the negotiation is conducted. In a multiagent system, without a centralized control, it is possible for agents to use a wide range of negotiation strategies. The effectiveness of an agent’s choice of strategy is heavily dependent on (i) the preferences of the other participants in the negotiation, and (ii) the strategies used by these participants. As such, in order to negotiate effectively, agents need to learn how to choose appropriate negotiation strategies. In this paper, we describe an approach, based on the Strategic Experts Algorithm [7], to learning how to select negotiation strategies in a multiagent setting. We demonstrate the usefulness of this approach in the domain of multiagent meeting scheduling.
Comparison of the discriminative-stimulus effects of SKF 38393 with those of other dopamine receptor agonists

The dopamine D1-like receptor agonists have traditionally been defined molecularly by their efficacy in stimulating adenylyl cyclase. However, evidence correlating the effectiveness of these drugs in behavioral assays and their effectiveness biochemically has not been forthcoming. The present study compared the discriminative-stimulus effects of the D1-like partial agonist SKF 38393 with several other D1-like agonists, an indirect agonist, cocaine, and a D2-like agonist, quinpirole. Rats were trained under a fixed-ratio 30-response schedule to discriminate SKF 38393 (5.6 mg/kg) from vehicle. Under this schedule, 30 consecutive responses on one of two keys were reinforced with food presentation after a pre-session injection of 5.6 mg/kg SKF 38393, and 30 consecutive responses on the alternative key were reinforced after saline injection. When daily performances were stable, substitution patterns for several compounds were assessed during test sessions in which 30 consecutive responses on either key were reinforced. Quinpirole and cocaine each produced saline-appropriate responding. In contrast, the D1-like agonists, SKF 75670 and SKF 77434, fully substituted for SKF 38393. Curiously, SKF 82958, which is considered a full agonist based on adenylyl cyclase assays, was less effective in substituting for SKF 38393 (maximum drug-appropriate responding 66%) than was the partial agonist SKF 75670. The present results suggest that second messenger effects other than stimulation of adenylyl cyclase may play an important role in the behavioral effects of dopamine D1-like agonists.
Development and Characterization of a Wake-Controlled Exterior Hood

A wake-controlled exterior hood was developed to overcome the negative influence of cross draft on an exterior hood and avoid the operation inconvenience caused by the enclosure of an airflow capture booth. This new type of local exterior hood used the hood suction flow to stabilize the dynamic vortex shedding that was induced when a crossflow passed over a blockage plate, and therefore formed a hydrodynamics-stabilized local isolation area for efficient removing of the contaminant. The development process was performed in a test section of an open-circuit wind tunnel. The blockage plate and the exterior hood model were placed in a wind-tunnel test section so that the crossflow could be freely supplied by the airstream of the wind tunnel. The laser light sheet flow visualization method and the laser Doppler velocimeter were employed to reveal the characteristics of the flow field. Primary influential parameters were factored out of the measured velocity results so that a design procedure was proposed. Experiments using hot-wire type alcohol sensors to measure the toluene vapor concentration distributions showed that the capture efficiency of this type of actively controlled hood was remarkably higher than that of an uncontrolled hood.
Temperature and moisture dependence of soil H2 uptake measured in the laboratory

The soil sink of molecular hydrogen is the largest and most uncertain term in the global atmospheric H2 budget. Lack of information about the mechanisms regulating this sink limits our ability to predict how atmospheric H2 may respond to future changes in climate or anthropogenic emissions. Here we present the results from a series of laboratory experiments designed to systematically evaluate and describe the temperature and soil moisture dependence of H2 uptake by soils from boreal forest and desert ecosystems. We observed substantial H2 uptake between −4°C and 0°C, a broad temperature optimum between 20°C and 30°C, a soil moisture optimum at approximately 20% saturation, and inhibition of uptake at both low and high soil moisture. A sigmoidal function described the temperature response of H2 uptake by soils between −15°C and 40°C. Based on our results, we present a framework for a model of the soil H2 sink.
Reconstruction and sampling constraints for spiral data [image processing]

The author addresses the problem of reconstructing a circularly bandlimited two-dimensional function from its samples on a general spiral contour. The spiral data are represented in terms of evenly spaced samples from a nonlinear two-dimensional transformation of the Cartesian coordinates. This transformation makes it possible to use unified Fourier reconstruction sampling principles to obtain accurate reconstruction based on a set of constraints imposed on the spiral parameters. The results are then utilized to develop efficient sampling strategies for the linear class of spirals, the spiral of Archimedes. Sampling efficiency for spiral data, analogous to the sampling efficiencies of hexagonally and rectangularly sampled data, is defined. A sampling scheme on a spiral is introduced that possesses a uniform sampling efficiency comparable to the sampling efficiency of rectangularly sampled data. >
Prototype/topic based clustering method for weblogs

The work of the third author was carried out in the framework of the WIQ-EI IRSES project (Grant No. 269180) within the FP7 Marie Curie, the DIANA APPLICATIONS Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems.
On passive quadrupedal bounding with translational spinal joint

This paper studies the effect of a flexible linear torso on the dynamics of passive quadruped bounding. A reduced-order passive and conservative model with translational spinal joint and springy legs is introduced. Numerical return map studies reveal the existence of a confined area of fixed points generating high-speed cyclic bounding motions by exploiting the natural dynamics of the model. The corresponding motion features extensive bidirectional spine deformation. The model displays interesting techniques that result in high-speed locomotion, such as increased flight phase duration and stride length. The obtained results show that the corresponding robot gaits and the associated performance resemble those of its natural counterparts even though the spinal joint lies beyond the bioinspired regime.
On consistent updates in software defined networks

We argue for the development of efficient methods to update the data plane state of an SDN, while maintaining desired consistency properties (e.g., no packet should be dropped). We highlight the inherent trade-off between the strength of the consistency property and dependencies it imposes among rules at different switches; these dependencies fundamentally limit how quickly data plane can be updated. For one basic consistency property---no packet should loop---we develop an update algorithm that has provably minimal dependency structure. We also sketch a general architecture for consistent updates that separates the twin concerns of consistency and efficiency.
Continuing Psychosocial Care Needs in Children With New-Onset Epilepsy and Their Parents

Children with new-onset epilepsy and their parents have many psychosocial care needs, including concerns and fears and needs for information and support. No prospective studies address psychosocial care needs at 12 and 24 months after seizure onset. It is unknown if psychosocial care needs are associated with children's attitudes toward having epilepsy or with parental responses to their child's epilepsy. Our study addresses this knowledge gap. Members of 143 families took part in the study. Children were 8 to 14 years old and had at least two seizures. Parents and children completed Psychosocial Care Need Scales at 3, 6, 12, and 24 months after the first seizure. Children also completed the Child Attitude Toward Illness Scale, and parents completed the Parent Response to Child Illness scale. Data were analyzed using descriptive statistics and correlations. Although psychosocial care needs were highest at the 3-month data collection for both parents and children, some worries and concerns and needs for information and support persisted for 24 months. In children, more psychosocial care needs were associated with more negative attitudes toward having epilepsy. In parents, high psychosocial care needs were associated with a more negative impact on family life. A substantial number of parents and children have unmet psychosocial care needs that are associated with more negative child attitudes and a negative impact on family life, even 24 months after the onset of seizures. Nurses should assess both children and parents for these needs at every encounter with the healthcare system to address their needs.