Miracle-dz/UniFAR-FTUs huggingface dataset:
Zygospores as evidence of sexual reproduction in the genus Orphella

The presence of zygospores in the genus Orphella is newly described. We found zygospores in three species of the genus, O. catalaunica, O. coronata and O. helicospora, which are all the species of the genus known from the Iberian territory. Zygospores are associated with a heterothallic conjugating sexual process in O. coronata, whereas in O. catalaunica and O. helicospora, they form homothallically. In all instances, zygospores are consistently associated with an organized pattern of sterile cells, forming structures comparable to those present with asexual trichospores. We compare the ontogeny of Orphella zygospores with that found in the harpellid Genistellospora homothallica and discuss the possible close relationship of Orphella with Kickxellales (Zygomycetes). We report O. coronata in Spain for the first time, replacing all previous records of O. haysii. Results are supported with line drawings and photographs.
Toward a scalable modular robotic system

In this article, we propose a simple docking method using an onboard camera module. It has two key ideas: one is image processing using a camera module and LEDs equipped on the modules, and the other is a special modular configuration designed for docking, which absorbs positional errors. We also designed a self-reconfiguration sequence to integrate a docked robot into a periodic structure. The effectiveness of the proposed method is examined by docking/integration experiments using 18 modules.
A HEURISTIC APPROACH FOR GRAPH BASED MACHINE TRANSLATION

Background: Due to the drastic increase in electronic gadgets and widespread use of the computers two-third of the world population is using one or another type of software’s. So this insists software industry develop software's based on linguistic approach. This makes machine translation as one of the most important key research topics in the current era. Many automatic machine translation methodologies exist like linear String matching, Pre context matching and much more. But every system has one or more exceptions that may yield some wrong outputs on some selected occasions. So as a tiny step towards this, Methods: this paper deals with the machine translation technique using the graph based approach where for the given phrases in English as respective Hindi phrases are identified. This technique explicitly uses the matrix space translation method for word identification which is catalyzed by the process of similarity index of Jaccard distance. The relevant phrases are formed for the given phrases in English based on the sub-graph matching and correlation technique. Results: Hence when the English phrases are given to the system as input, the output is Hindi phrase sentences. Conclusions: So, The proposed system using graph based approach having an advantage of poly-directional traversing ability to identify larger semantics between the two vocabularies. This is an added advantage to increase the performance of the system to give best results.
Policy-agile encrypted networks via secure function computation

Recent developments in cryptography in the areas of secure multi-party function computation and homomorphic encryption enable new policy-agile encrypted networking capabilities. By applying algorithms that can securely perform encrypted operations on encrypted data without decryption of either, context- and content-aware decisions can be performed (or policy rules applied) within a new advanced “black core” network while preserving confidentiality of the mission context and content. We discuss three application areas—with applicability to defense, law enforcement, intelligence community, and commercial networks, especially when resource sharing and collaboration across multiple organizations must occur over out-sourced third party infrastructures—that are enabled.
Social emotion recognition, social functioning, and attempted suicide in late-life depression.

OBJECTIVES : Lack of feeling connected and poor social problem solving have been described in suicide attempters. However, cognitive substrates of this apparent social impairment in suicide attempters remain unknown. One possible deficit, the inability to recognize others' complex emotional states has been observed not only in disorders characterized by prominent social deficits (autism-spectrum disorders and frontotemporal dementia) but also in depression and normal aging. This study assessed the relationship between social emotion recognition, problem solving, social functioning, and attempted suicide in late-life depression. DESIGN, PARTICIPANTS, MEASUREMENTS : There were 90 participants: 24 older depressed suicide attempters, 38 nonsuicidal depressed elders, and 28 comparison subjects with no psychiatric history. We compared performance on the Reading the Mind in the Eyes test and measures of social networks, social support, social problem solving, and chronic interpersonal difficulties in these three groups. RESULTS : Suicide attempters committed significantly more errors in social emotion recognition and showed poorer global cognitive performance than elders with no psychiatric history. Attempters had restricted social networks: they were less likely to talk to their children, had fewer close friends, and did not engage in volunteer activities, compared to nonsuicidal depressed elders and those with no psychiatric history. They also reported a pattern of struggle against others and hostility in relationships, felt a lack of social support, perceived social problems as impossible to resolve, and displayed a careless/impulsive approach to problems. CONCLUSIONS : Suicide attempts in depressed elders were associated with poor social problem solving, constricted social networks, and disruptive interpersonal relationships. Impaired social emotion recognition in the suicide attempter group was related.
Government Expenditure and Economic Growth in Malaysia

This paper studies the relationship between GDP and government expenditure in Malaysia using Penn World Table annual data for 1950-92. Two types of analyses are performed. First, we study the long run relationship between GDP and government expenditure in their various forms. We find the existence of long run relationship between GDP and government expenditure. Second, we perform augmented Granger causality tests between the growth rates of two sets of the variables. Here, we do not find any evidence that the growth of government expenditure contributes to the growth of GDP. There is no evidence of any reverse causality either.
Improvement of efficiency for red resonantcavity light-emitting diodes using periodic gain medium with modified electron stopped layers

The analysis of electro-optical properties of 635 nm InGaP/InGaAlP resonant-cavity light-emitting diodes (RCLED) with AlGaAs mirrors is presented. We show that including the periodic gain medium with slightly p-doped electron stop layer in both side of active layer improves the efficiency of such device due to increasing the electron capture efficiency in the quantum wells and decreasing the electrical field across the active layer.
Heparin fails to inhibit the leukocyte recruitment for an extended time following inflammatory stimulus

Abstract Context: Several studies have shown that heparin is able to inhibit leukocyte recruitment during an early acute inflammatory response. However, considering the pharmacokinetic aspects of heparin and the dynamics of inflammation our objective was to determine if heparin is able to retain its antimigratory property during a prolonged inflammatory response. Objective: Compare the effect of heparin on leukocyte recruitment to the peritoneal cavity during early acute inflammatory response and for a longer time post-inflammatory stimulus. Materials and methods: Wistar rats pre-treated with subcutaneous heparin in doses of 1, 5, and 15 µg/kg were challenged with 2 mL intraperitoneal thioglycollate. After 3 or 8 h, the animals were killed. The cells in the peritoneal cavity were collected and counted. For differential counting, cells from peritoneal lavage and from blood were distended over a glass slide, stained, and counted. Results: After 3 h, heparin inhibited cell influx to the injury site at all tested dosages. The largest effect was achieved at a 5 µg/kg dose (83% of reduction, p < 0.001). After 8 h, heparin at a 1 µg/kg dose reduced 63% of cellular infiltration (p < 0.001); the group treated with a 15 µg/kg dose presented an pro-inflammatory effect observed by the higher proportions, when compared with the thioglycollate group, of neutrophils on whole blood (60.9%, p < 0.001) and peritoneal fluid (27.3%, p < 0.05), and whole blood monocytes (117.8%, p < 0.01). Conclusion: These findings show that the heparin effect on leukocyte recruitment varies depending on its dosage and the duration of the inflammation.
Evaluación del e-learning en la formación para el empleo: estructura factorial y fiabilidad

El articulo evalua el efecto del e-learning en la formacion para el empleo en personas principalmente desocupadas. Mediante un cuestionario a 5.265 personas que participaron en un programa de formacion virtual para la mejora de la empleabilidad del Servicio de Ocupacion de Cataluna y la Universidad Oberta de Cataluna en 2009, la investigacion realiza dos principales aportaciones. En primer lugar, se disena una escala con 18 items, que hemos denominado COM-AP-SAT-18. En segundo lugar, se analiza la estructura factorial y las propiedades psicometricas de la escala disenada. Los resultados obtenidos en el analisis factorial exploratorio nos proponen la existencia de tres factores: competencias desarrolladas; aplicabilidad sobre el empleo; y satisfaccion con el diseno pedagogico del programa de formacion. Estos factores explican el 71,5% de la varianza acumulada. Los coeficientes de fiabilidad obtenidos para los tres factores son elevados (a1 = ,93; .a2 = ,92; y .a3 = ,90). La fiabilidad total de la escala es de ,94. Los estadisticos obtenidos para el analisis factorial confirmatorio (CFI = 0,94; NNFI = 0,94; RMSEA = 0,08) nos indican un ajuste aceptable del modelo de tres factores propuesto (Chi2 = 2,416; p = 0,000). Los coeficientes de las estimaciones realizadas, todos ellos con valores entre ,85 y 1,66, son significativos a p < ,001. En conclusion, la estructura y las propiedades psicometricas de los factores de la escala COM-AP-SAT-18 presentan una validez y una fiabilidad adecuadas para identificar y evaluar el efecto del e-learning en la formacion para el empleo. Las tres dimensiones encontradas estan en sintonia con la evidencia clasica que evalua el efecto de la formacion y con las investigaciones realizadas en el ambito de la formacion para el empleo. Adicionalmente, se aporta nueva evidencia en el ambito especifico de la formacion virtual para el empleo en personas principalmente desocupadas, asi como en nuevas dimensiones como la estructura y el diseno pedagogico del programa.
Moving targets detection and localization in passive infrared sensor networks

This paper presents the method for the detection and localization of moving targets in passive infrared (PIR) sensor networks in both indoor and outdoor settings. It reports our design and implementation of PIR sensor network, especially, we proposed a detection algorithm, which uses adaptive threshold with constant false alarm rate; and developed a localization algorithm using direction search in the grid space of the network. The experimental results have shown that our PIR sensor network can detect and locate the moving targets with reasonable accuracy.
A Framework for Classifier Adaptation for Large-Scale Multimedia Data

Machine learning techniques have been used extensively to build models for the analysis and retrieval of multimedia data. The explosion of multimedia data on the Web poses a great challenge to such techniques not simply because of the sheer data volume, but also because of the heterogeneity of the data. With data from a wide variety of domains, models trained from one domain do not generalize well to other domains, while at the same time it is prohibitively expensive to build new models for each and every domain due to the high cost for labeling training examples. In this paper, we tackle the heterogeneity challenge in large-scale multimedia data using cross-domain model adaptation for better performance and reduced human cost. Specifically, we investigate the problem of adapting supervised classifiers trained from one or more source domains to a new classifier for a target domain that has only limited labeled examples. The foundation of our work is a general framework for function-level classifier adaptation based on the regularized loss minimization principle, which adapts a classifier by directly modifying its decision function. Under this framework, one can derive concrete adaptation algorithms by plugging in any loss and regularization functions, among which we elaborate on adaptive support vector machines (a-SVM). We further extend this framework for multiclassifier adaptation, namely adapting multiple existing classifiers into a classifier for the target domain, in a way that the contributions of these existing classifiers are automatically determined. We evaluate the proposed approaches in cross-domain semantic concept detection based on TRECVID corpora. The results show that our approaches outperform existing (adaptation and nonadaptation) methods in terms of accuracy and/or efficiency, and adaptation from multiple classifiers offers further benefits.
Mathematical models for forecast of geometrical parameters of assembly units

The article describes two mathematical models for forecast of the geometric parameters of assembly units: the model of surface fitting and the combinatorial search model. The objects of modeling are a pair of mating cone rings. The first cone ring is characterized by the form deviation of the mating surface. The second cone is characterized by the runout of the outer and inner surfaces. Approval of the developed models was carried out through experimental studies of the assembly of two tailored and certified cone rings. A comparison of results of theoretical and experimental studies has shown that the developed models allow forecasting the geometric parameters of assembly units. Kea words: mathematical model; form deviation; filtration; assembly; geometric parameter; coordinate measurements
A ug 2 01 7 Magneto-optical conductivity of double-Weyl semimetals

We have investigated the magneto-optical response of double Weyl semimetals whose energy dispersion is intrinsically anisotropic. We find that in the presence of a magnetic field, the most salient feature of the optical conductivity is a series of resonant peaks with the corresponding frequencies scaling linearly with the strength of the magnetic field. Besides, the optical conductivity is also found to be anisotropic, with two of the three longitudinal components residing at a linear background and the rest one at a constant background. The effects of chemical potential, temperature, impurity scattering and particle-hole symmetry breaking to the optical conductivity are also studied.
Carrots and Rainbows: Motivation and Social Practice in Open Source Software Development

Open source software (OSS) is a social and economic phenomenon that raises fundamental questions about the motivations of contributors to information systems development. Some developers are unpaid volunteers who seek to solve their own technical problems, while others create OSS as part of their employment contract. For the past 10 years, a substantial amount of academic work has theorized about and empirically examined developer motivations. We review this work and suggest considering motivation in terms of the values of the social practice in which developers participate. Based on the social philosophy of Alasdair MacIntyre, we construct a theoretical framework that expands our assumptions about individual motivation to include the idea of a long-term, value-informed quest beyond short-term rewards. This motivation-practice framework depicts how the social practice and its supporting institutions mediate between individual motivation and outcome. The framework contains three theoretical conjectures that seek to explain how collectively elaborated standards of excellence prompt developers to produce high-quality software, change institutions, and sustain OSS development. From the framework, we derive six concrete propositions and suggest a new research agenda on motivation in OSS.
DNA Methylation Changes Following 5-azacitidine Treatment in Patients with Myelodysplastic Syndrome

DNA methyltransferase inhibitor, 5-azacitidine (AC) is effective in myelodysplastic syndromes (MDS) and can induce re-expression in cancer. We analyzed the methylation of 25 tumor suppressor genes in AC-treated MDS. Hypermethylation of CDKN2B, FHIT, ESR1, and IGSF4 gene was detected in 9/44 patients. In concordance with the clinical response, a lack of or decreased methylation in 4 patients with hematologic improvements and persistent methylation in 4 others with no response was observed. The mRNA expression of CDKN2B, IGSF4, and ESR1 was significantly reduced in MDS. Our results suggest that methylation changes contribute to disease pathogenesis and may serve as marker to monitor the efficacy of treatments.
Maintenance of Leukemia-Initiating Cells Is Regulated by the CDK Inhibitor Inca1

Functional differences between healthy progenitor and cancer initiating cells may provide unique opportunities for targeted therapy approaches. Hematopoietic stem cells are tightly controlled by a network of CDK inhibitors that govern proliferation and prevent stem cell exhaustion. Loss of Inca1 led to an increased number of short-term hematopoietic stem cells in older mice, but Inca1 seems largely dispensable for normal hematopoiesis. On the other hand, Inca1-deficiency enhanced cell cycling upon cytotoxic stress and accelerated bone marrow exhaustion. Moreover, AML1-ETO9a-induced proliferation was not sustained in Inca1-deficient cells in vivo. As a consequence, leukemia induction and leukemia maintenance were severely impaired in Inca1−/− bone marrow cells. The re-initiation of leukemia was also significantly inhibited in absence of Inca1−/− in MLL—AF9- and c-myc/BCL2-positive leukemia mouse models. These findings indicate distinct functional properties of Inca1 in normal hematopoietic cells compared to leukemia initiating cells. Such functional differences might be used to design specific therapy approaches in leukemia.
La diffusion d'informations financieres par les societes francaises et britanniques

Cette recherche consiste a identifier les principales differences qui existent en matiere de diffusion d'informations financieres entre les societes francaises et britanniques et a en justifier les raisons. Pour ce faire, au plan theorique, nous proposons une approche institutionnelle de la diffusion d'informations comptables : c'est le rapport de force entre l'etat, le marche financier et la profession comptable qui explique la difference entre les modes de regulation des deux pays ; et l'internationalisation economique, a son tour, conduit a une convergence de leurs systemes comptables. On montre que, d'une part, les societes francaises ont beaucoup ameliore leurs performances informationnelles, et qu'il y a effectivement un rapprochement des scores d'indice entre les societes des deux pays ; et d'autre part, que contraintes par le marche financier, les societes anglaises diffusent davantage d'informations liees a la comptabilite de gestion et sont aussi plus performantes s'agissant de la diffusion volontaire. Par contre, pour les societes francaises, la reglementation comptable est toujours le principal moteur qui les pousse a ameliorer leur niveau de diffusion d'informations financieres. Mais les facteurs refletant les evolutions du rapport etat-marche et de l'internationalisation economique sont devenus de plus en plus importants pour expliquer le rapprochement des performances informationnelles des societes des deux pays. Les societes francaises ont tendance a se conformer aux pratiques comptables internationales et tentent d'accroitre leur niveau d'harmonisation comptable.
Enterococcus faecalis Bearing Aggregation Substance Is Resistant to Killing by Human Neutrophils despite Phagocytosis and Neutrophil Activation

ABSTRACT Enterococcus faecalis aggregation substance (AS) mediates efficient bacterium-bacterium contact to facilitate plasmid exchange as part of a bacterial sex pheromone system. We have previously determined that AS promotes direct, opsonin-independent binding of E. faecalis to human neutrophils (PMNs) via complement receptor type 3 and other receptors on the PMN surface. We have now examined the functional consequences of this bacterium-host cell interaction. AS-bearing E. faecalis was phagocytosed and internalized by PMNs, as determined by deconvolution fluorescence microscopy. However, these bacteria were not killed by PMNs, and internalized bacteria excluded propidium iodide, indicating intact bacterial membranes. Resistance to killing occurred despite activation of PMNs, as indicated by an increase in both functional and total surface Mac-1 expression, shedding of l-selectin, and an increase in PMN extracellular superoxide and phagosomal oxidant production. Deconvolution fluorescence microscopy also revealed that phagosomes containing AS-bearing bacteria were markedly larger than phagosomes containing opsonized E. faecalis, suggesting that some modification of phagosomal maturation may be involved in AS-induced resistance to killing. PMN phagosomal pH was significantly higher after ingestion of nonopsonized AS-bearing E. faecalis than after that of opsonized bacteria. The novel ability of AS to promote intracellular survival of E. faecalisinside PMNs suggests that AS may be a virulence factor used by strains of E. faecalis.
Morphological Tagging Based on Averaged Perceptron

Czech (like other Slavic languages) is well known for its complex morphology. Text processing (e.g., automatic translation, syntactic analysis.) usually requires unambiguous selection of grammatical categories (so called morphological tag) for every word in a text. Morphological tagging consists of two parts – assigning all possible tags to every word in a text and selecting the right tag in a given context. Project Morce attempts to solve the second part, usually called disambiguation. Using a statistical method based on the combination of a Hidden Markov Model and the AveragedAveraged Perceptron algorithm, a number of experiments have been made exploring different parameter settings of the algorithm in order to obtain the best success rate possible. Final accuracy of Morce on data from PDT 2.0 was 95.431% (results of March 2006). So far, it is the best result for a standalone tagger.
Review of PODC 2012

The 31st Annual ACM Symposium on Principles of Distributed Computing (PODC) took place on July 16 18, 2012 in Madeira, Portugal, an archipelago in the Atlantic Ocean about 1,000 km off the European continent. This makes it arguably the most exotic location in PODC’s 31-year history! When the view from your hotel and a stroll with your colleagues look like the pictures below, the conference transforms into a rejuvenating retreat, the kind that fosters great ideas and makes you forget (for a while) that you have to give that talk on the third day.