Miracle-dz/UniFAR-FTUs huggingface dataset:
The clinicopathological significance of Bmi-1 expression in pathogenesis and progression of gastric carcinomas.

BACKGROUND Oncogenic Bmi-1 (B-lymphoma Moloney murine leukemia virus insertion region-1) belongs to the Polycomb-group (PcG) family of proteins and plays an important role in the regulation of proliferation, senescence, cell cycle and apoptosis, chromosome stability, activation of gene transcription. METHODS To clarify the roles of Bmi-1 in tumourigenesis and progression of gastric carcinomas, it was examined by immunohistochemistry (IHC) and real-time RT-PCR in gastric carcinomas, dysplasia, intestinal metaplasia (IM), and gastritis with a comparison of its expression with clinicopathological parameters of carcinomas. RESULTS There was gradually increased Bmi-1 protein expression from gastritis, IM, dyplasia to carcinoma (p<0.001). Bmi-1 expression was positively linked to tumor size, depth of invasion, lymph node metastasis and worse prognosis of carcinomas (p<0.001), but not to age or sex of carcinoma patients (p>0.05). There was higher Bmi-1 protein expression in intestinal-type carcinomas than diffuse-type ones (p<0.001). At mRNA level, Bmi-1 protein expression was increased from gastritis, IM, dysplasia and carcinoma (p<0.001). Bmi-1 overexpression was observed in gastric carcinoma with larger diameter, deeper invasion, lymph node metastasis, and intestinal-type carcinoma (p<0.05). CONCLUSION These findings indicate that up-regulated Bmi-1 expression is positively linked to pathogenesis, growth, invasion, metastasis and differentiation of gastric carcinomas. It was considered as a promising marker to indicate the aggressive behaviors and prognosis of gastric carcinomas.
The Importance of Social Cognition:The impact of age, gender and personality on Social Cognition

Icelandic Fyrri rannsóknir hafa sýnt fram á mikilvægi félagslegs skilnings þegar kemur að daglegum samskiptum fólks. Nýlegar rannsóknir á tengslum félagsskilnings og geðsjúkdóma hafa sýnt að einstaklingar sem greinst hafa með einhverfu og geðklofa hafi mjög slaka færni í félagsskilningi. Tilgangur þessarar rannsóknar var að skoða hvort að kynferði, aldur eða persónuleiki hefði einhver áhrif á félagsskilning. Þátttakendur rannsóknarinnar voru 100 talsins, 16 karlar og 82 konur. Allir þátttakendur rannsóknarinnar svöruðu tveimur prófum, The Facial Emotional Identifacation Task (FEIT) og SIPP Personality Test (SIPP), ásamt því að svara bakgrunnsupplýsingum um aldur, kyn og menntun. Niðurstöður rannsóknarinnar staðfestu niðurstöður fyrri rannsókna og sýndu marktækan mun á félagsskilningi milli kynja, þar sem karlar stóðu sig verr en konur. Ekki fannst marktækur munur á getu þátttakenda í félagsskilningi þegar horft var til aldurs en þó kom fram að yngri hópurinn hafði aðeins hærra meðaltal á réttum svörum heldur en eldri hópurinn. Þegar persónuleikapróf var skoðað í tengslum við félagsskilning sýndu niðurstöður ekki fram á nein tengsl milli persónuleika þátttakenda og getu þeirra í félagsskilningi. Niðurstöður rannsóknarinnar benda því til að persónuleiki hafi ekki marktæk áhrif á félagsskilning einstaklinga en að kyn spái fyrir um einstaklinga í félagsskilningi. Lykilorð: Félagsskilningur, kynferði, aldur, menntun, persónuleiki Abstract – English Previous studies of social cognition have demonstrated its importance in every day communication. Recent studies have examined the relationship between social cognition and mental illnesses and the results have indicated that individuals diagnosed with autism and schizophrenia lack abilities in social cognition. The purpose of this study is to examine whether gender, age or personality have any effect on social cognition abilities. Participants of the study were 100 individuals, 16 males and 82 females. All the participants in the study completed two tests, The Facial Emotional Identifacation Task (FEIT) and SIPP Personality Test (SIPP), along with answering background questions about their age, gender and education. The results confirmed previous research and presented significant difference in social understanding between genders, where males did worse than females. No significant difference was found between age of the participants, but the results showed that the younger group had a slightly higher average of correct answers than the older group. When personality was viewed in the context of social cognition, the results showed no evidence of any relationship between the two. The results of the study indicate that personality characterictis have no association with social cognition abilities, but gender can be a good predictor for the individual’s social cognition abilities.
CONFIRMATION OF X-RAY ABSORPTION BY WARM-HOT INTERGALACTIC MEDIUM IN THE SCULPTOR WALL

In a previous paper, we reported a 3σ detection of an absorption line from the warm-hot intergalactic medium (WHIM) using the Chandra and XMM X-ray grating spectra of the blazar H2356-309, the sight line of which intercepts the Sculptor Wall, a large-scale superstructure of galaxies at z ∼ 0.03. To verify our initial detection, we obtained a deep (500 ks), follow-up exposure of H2356-309 as part of the Cycle-10 Chandra Large Project Program. From a joint analysis of the Cycle-10 and previous (Cycle-8) Chandra grating data we detect the redshifted O vii WHIM line at a significance level of 3. 4σ, a substantial improvement over the 1. 7σ level reported previously when using only the Cycle-8 data. The significance increases to 4. 0σ when the existing XMM grating data are included in the analysis, thus confirming at higher significance the existence of the line at the redshift of the Sculptor Wall with an equivalent width of 28.5 ± 10.5 mÅ (90% confidence). We obtain a 90% lower limit on the O vii column density of 0.8 × 1016 cm−2 and a 90% upper limit on the Doppler b parameter of 460 km s−1. Assuming the absorber is uniformly distributed throughout the ∼15 Mpc portion of the blazar's sight line that intercepts the Sculptor Wall, that the O vii column density is ≈2 × 1016 cm−2 (corresponding to b ≳ 150 km −1 where the inferred column density is only weakly dependent on b), and that the oxygen abundance is 0.1 solar, we estimate a baryon over-density of ∼30 for the WHIM, which is consistent with the peak of the WHIM mass fraction predicted by cosmological simulations. The clear detection of O vii absorption in the Sculptor Wall demonstrates the viability of using current observatories to study WHIM in the X-ray absorption spectra of blazars behind known large-scale structures.
Antimalarial immunity in Saimiri monkeys. Immunization with surface components of asexual blood stages

Plasmodium falciparum polypeptides of 200 and 140 K mol wt exposed at the surface of merozoites and/or schizonts were purified by affinity chromatography and by electroelution from sodium dodecyl sulfate- polyacrylamide gel electrophoresis. Monkeys were separated into three groups of four and immunized either with one of the two polypeptides or with saline (control). After intravenous challenge with 2.5 X 10(7) P. falciparum asexual blood stages, two monkeys of the control group had to be treated and two recovered spontaneously after peak parasitemia of 9 and 11%. The four monkeys immunized with the 140 K polypeptide recovered without treatment after peak parasitemia between 1.5 and 4.5%. Monkeys immunized with the 200 K polypeptide had similar peak parasitemia except one monkey who suffered from a large skin excoriation and who recovered spontaneously after a peak parasitemia of 11%. Prechallenge sera of the immunized monkeys reacted only with the polypeptide used for immunization except for one serum of the 140 K group, which precipitated an additional polypeptide of 39 K, and a polypeptide of 31 K weakly precipitated by the four sera of monkeys immunized with the 200 K polypeptide. The relatedness between the 200 and 140 K polypeptides was investigated using tryptic digestion and reverse phase chromatography. No clear analogy was found between the two polypeptides, which suggests that immunization with either of two independent surface components of P. falciparum asexual blood stages is able to induce at least a partial protective immunity in immunized hosts.
Acupuncture for Visceral Pain: Neural Substrates and Potential Mechanisms

Visceral pain is the most common form of pain caused by varied diseases and a major reason for patients to seek medical consultation. Despite much advances, the pathophysiological mechanism is still poorly understood comparing with its somatic counterpart and, as a result, the therapeutic efficacy is usually unsatisfactory. Acupuncture has long been used for the management of numerous disorders in particular pain and visceral pain, characterized by the high therapeutic benefits and low adverse effects. Previous findings suggest that acupuncture depresses pain via activation of a number of neurotransmitters or modulators including opioid peptides, serotonin, norepinephrine, and adenosine centrally and peripherally. It endows us, by advancing the understanding of the role of ion channels and gut microbiota in pain process, with novel perspectives to probe the mechanisms underlying acupuncture analgesia. In this review, after describing the visceral innervation and the relevant afferent pathways, in particular the ion channels in visceral nociception, we propose three principal mechanisms responsible for acupuncture induced benefits on visceral pain. Finally, potential topics are highlighted regarding the future studies in this field.
Discrimination of Multiple Coronal Stop Contrasts in Wubuy (Australia): A Natural Referent Consonant Account

Native speech perception is generally assumed to be highly efficient and accurate. Very little research has, however, directly examined the limitations of native perception, especially for contrasts that are only minimally differentiated acoustically and articulatorily. Here, we demonstrate that native speech perception may indeed be more difficult than is often assumed, where phonemes are highly similar, and we address the nature and extremes of consonant perception. We present two studies of native and non-native (English) perception of the acoustically and articulatorily similar four-way coronal stop contrast /t ʈ t̪ ȶ/ (apico-alveolar, apico-retroflex, lamino-dental, lamino-alveopalatal) of Wubuy, an indigenous language of Australia. The results show that all listeners find contrasts involving /ȶ/ easy to discriminate, but that, for both groups, contrasts involving /t ʈ t̪/ are much harder. Where the two groups differ, the results largely reflect native language (Wubuy vs English) attunement as predicted by the Perceptual Assimilation Model [1, 2, 3]. We also observe striking perceptual asymmetries in the native listeners' perception of contrasts involving the latter three stops, likely due to the differences in input frequency. Such asymmetries have not previously been observed in adults, and we propose a novel Natural Referent Consonant Hypothesis to account for the results.
Using parallel approach in pre-processing to improve frequent pattern growth algorithm

Mining frequent itemset is an important step in association rule mining process. In this paper we are applying a parallel approach in the pre-processing step itself to make the dataset favorable for mining frequent itemsets and hence improve the speed and computation power. Due to data explosion, it is necessary to develop a system that can handle scalable data. Many efficient sequential and parallel algorithms were proposed in the recent years. We first explore some major algorithms proposed for mining frequent itemsets. Sorting the dataset in the pre-processing step parallely and pruning the infrequent itemsets improves the efficiency of our algorithm. Due to the drastic improvement in computer architectures and computer performance over the years, high performance computing is gaining importance and we are using one such technique in our implementation: CUDA.
Automatic Data Extraction from Lists and Tables in Web Sources

We describe a technique for extracting data from lists and tables and grouping it by rows and columns. This is done completely automatically, using only some very general assumptions about the structure of the list. We have developed a suite of unsupervised learning algorithms that induce the structure of lists by exploiting the regularities both in the format of the pages and the data contained in them. Among the tools used are AutoClass for automatic classification of data and grammar induction of regular languages. The approach was tested on 14 Web sources providing diverse data types, and we found that for 10 of these sources we were able to correctly find lists and partition the data into columns and rows.
Formation of bulges in very late-type galaxies from super star clusters

The dynamical evolution of super star clusters (SSCs) moving in the background of a dark matter halo has been investigated as a possible event responsible for the formation of bulges in late-type spirals. The underlying physical processes include sinking of SSCs due to the dynamical friction and stripping of SSCs on their way to the centre. Our model calculations show that only sinking of circumnuclear SSCs contributes to the formation of galactic bulges at the early stage. Based on the assumption of a universal density profile for the dark matter halo, and an isothermal model for the SSCs, our simulations have yielded bulges that are similar in many aspects to the observational ones. In particular, the derived surface density profiles can be well fitted by an exponential structure with nuclear cusps, which is consistent with Hubble Space Telescope observations.
Hat Computational Psychiatry Relevanz für die klinische Praxis der Psychiatrie

Zusammenfassung. Computational Psychiatry (CP) ist ein junges Wissenschaftsfeld an der Schnittstelle zwischen der klinischen Psychiatrie und den mathematischen Neurowissenschaften, das sich in den letzten Jahren zu entfalten begonnen hat. Dieser Artikel widmet sich den moglichen klinischen Implikationen dieser jungen Disziplin. Wir (i) beginnen mit einer kurzen Ubersicht uber die Geschichte, Ziele und Inhalte der CP, (ii) beschreiben die zentralen Themen, Modelle und Theorien der CP, (iii) untersuchen die Relevanz und das Potenzial modell-basierter diagnostischer Tests (computational assays) fur die Losung zentraler Probleme in der klinischen Psychiatrie, und (iv) stellen zukunftige Herausforderungen und Chancen der CP dar.
Is Reallocation Related to the Cycle? A Look at Permanent and Temporary Job Flows

How much of aggregate employment fluctuations is due to plants destroying and then recreating the same jobs over the cycle and how much is due to some plants permanently destroying jobs in a recession and other plants permanently creating jobs in an expansion? This paper decomposes plant level job flows into permanent and temporary components to answer this question, and finds that the permanent reallocation of jobs across plants accounts for approximately 30 percent of the cyclical fluctuations in aggregate employment.
Advanced Control Distributed Processing Architecture (ACDPA) using SDN and Hadoop for identifying the flow characteristics and setting the quality of service(QoS) in the network

Today the network is seemingly complex and vast and it is difficult to gauge its characteristics. Network administrators need information to check the network behavior for capacity planning, quality of service requirements and planning for the expansion of the network. Software defined networking (SDN) is an approach where we introduce abstraction to simplify the network into two layers, one used for controlling the traffic and other for forwarding the traffic. Hadoop is used for distributed processing. In this paper we combine the abstraction property of SDN and the processing power Hadoop to propose an architecture which we call as Advanced Control Distributed Processing Architecture (ACDPA), which is used to determine the flow characteristics and setting the priority of the flows i.e. essentially setting the quality of service(QoS). We provide experimental details with sample traffic to show how to setup this architecture. We also show the results of traffic classification and setting the priority of the hosts.
Blood Pressure Determination Using Analysis of Biosignals RADIM

The paper deals with an analysis of biosignals for the purpose of non-invasive blood pressure monitoring without the necessity of using a pneumatic cuff. The method of simultaneous recording of electrocardiogram (ECG) and photoplethysmogram (PPG) and evaluations of their mutual time shift, which corresponds to the pulse transit time (PTT), are described in the paper. Results of original and improved methods of blood pressure determination using calibration measurement and subsequent analysis of pulse transit time values are also presented. Key-Words: Biosignal Processing, Blood Pressure, Pulse Transit Time, Photoplethysmography, Electrocardiography
ActA Promotes Listeria monocytogenes Aggregation, Intestinal Colonization and Carriage

Listeria monocytogenes (Lm) is a ubiquitous bacterium able to survive and thrive within the environment and readily colonizes a wide range of substrates, often as a biofilm. It is also a facultative intracellular pathogen, which actively invades diverse hosts and induces listeriosis. So far, these two complementary facets of Lm biology have been studied independently. Here we demonstrate that the major Lm virulence determinant ActA, a PrfA-regulated gene product enabling actin polymerization and thereby promoting its intracellular motility and cell-to-cell spread, is critical for bacterial aggregation and biofilm formation. We show that ActA mediates Lm aggregation via direct ActA-ActA interactions and that the ActA C-terminal region, which is not involved in actin polymerization, is essential for aggregation in vitro. In mice permissive to orally-acquired listeriosis, ActA-mediated Lm aggregation is not observed in infected tissues but occurs in the gut lumen. Strikingly, ActA-dependent aggregating bacteria exhibit an increased ability to persist within the cecum and colon lumen of mice, and are shed in the feces three order of magnitude more efficiently and for twice as long than bacteria unable to aggregate. In conclusion, this study identifies a novel function for ActA and illustrates that in addition to contributing to its dissemination within the host, ActA plays a key role in Lm persistence within the host and in transmission from the host back to the environment.
Content-based tag generation to enable a tag-based collaborative tv-recommendation system.

With the application of the Web 2.0 philosophy to more and more online services and platforms, tagging has become a well established collaboration method. It is often used to simplify organization, navigation and discovery of information and resources in huge archives. In parallel, due to recent developments in digital television, audiences are confronted with a rising amount of available content and demand for better ways to discover programs of interest. In this paper, we propose a tagging-based solution to this problem. Using a content-based filtering approach, we present an individualized and flexible tag generation process. User specific as well as collaborative tag generation is enabled. Based on generated and user added tags, program recommendations are derived in a collaborative filtering step.
Structured Service Composition in IRS-III

Web services are currently one of the trends in the digital economy as means to support business interoperation and collaborative processes. Semantic Web Services facilitate activities including automatic discovery and composition of Web Services. Research initiatives such as WSMO have been developing specifications for this technology. However, a model for describing all aspects of service composition is ultimately required for WSMO. This paper describes our formal model for composition of Web services in a structured approach. The proposed model complements the WSMO orchestration in IRS-III, a framework for Semantic Web Services based on WSMO specification. We also present a tool based on the above model that supports a user-guided interactive composition approach, by recommending component Web services according to the composition context.
Rich and Poor Cities in Europe. An Urban Scaling Approach to Mapping the European Economic Transition

Recent advances in the urban science make broad use of the notion of scaling. We focus here on the important scaling relationship between the gross metropolitan product (GMP) of a city and its population (pop). It has been demonstrated that GMP ∝ Y Ypopβ with β always greater than 1 and close to 1.2. This fundamental finding highlights a universal rule that holds across countries and cultures and might explain the very nature of cities. However, in an increasingly connected world, the hypothesis that the economy of a city solely depends on its population might be questionable. Using data for 248 cities in the European Union between 2005 and 2010, we found a double GMP/pop scaling regime. For West EU cities, β = 1 over the whole the period, while for post-communist cities β > 1 and increases from ∼1.2 to ∼1.4. The evolution of the scaling exponent describes the convergence of post-communist European cities to open and liberal economies. We propose a simple model of economic convergence in which, under stable political conditions, a linear GMP/pop scaling is expected for all cities. The results suggest that the GMP/pop super-linear scaling represents a phase of economic growth rather than a steady, universal urban feature. The results also suggest that relationships between cities are embedded in their political and economic context and cannot be neglected in explanations of cities, urbanization and urban economics.
A PCM-based TCAM cell using NDR

This paper presents a new design of a ternary content addressable memory (TCAM) cell. This design exploits two emerging technology devices: a phase change memory (PCM) as storage element and a negative differential resistance (NDR) device as control element. The PCM stores a multi-value resistance to account for the ternary nature of the equality function to be performed in a TCAM. The CMOS-NDR device uses a macroscopic model made of three transistors to exhibit a very high peak-to-valley current ratio, a single symmetric peak and excellent switching speed. The CMOS-NDR device is embedded in the cell such that specific operational points are placed on the I-V curve for generating the match/mismatch outcome. A common-source amplifier with source degeneration is used for decoding the PCM. Extensive simulation results at nanoscale feature sizes (45, 32 and 22 nm) are presented. These results show that the proposed TCAM cell outperforms a previously presented non-volatile TCAM cell based on MTJ in terms of power dissipation and power delay product (PDP).
Semi-automatic Detection of Multiword Expressions in the Slovak Dependency Treebank

We describe a method for semi-automatic extraction of Slovak multiword expressions (MWEs) from a dependency treebank. The process uses an automatic conversion from dependency syntactic trees to deep syntax and automatic tagging of verbal argument nodes based on a valency dictionary. Both the valency dictionary and the treebank conversion were adapted from the corresponding Czech versions; the automatically translated valency dictionary has been manually proofread and corrected. There are two main achievements – a valency dictionary of Slovak MWEs with direct links to corresponding expressions in the Czech dictionary, PDT-Vallex, and a method of extraction of MWEs from the Slovak Dependency Treebank. The extraction reached very high precision but lower recall in a manual evaluation. This is a work in progress, the overall goal of which is twofold: to create a Slovak language valency dictionary paralleling the Czech one, with bilingual links; and to use the extracted verbal frames in a collocation dictionary of Slovak verbs.