Miracle-dz/UniFAR-FTUs huggingface dataset:
C‐terminal Src kinase‐mediated EPIYA phosphorylation of Pragmin creates a feed‐forward C‐terminal Src kinase activation loop that promotes cell motility

Pragmin is one of the few mammalian proteins containing the Glu‐Pro‐Ile‐Tyr‐Ala (EPIYA) tyrosine‐phosphorylation motif that was originally discovered in the Helicobacter pylori CagA oncoprotein. Following delivery into gastric epithelial cells by type IV secretion and subsequent tyrosine phosphorylation at the EPIYA motifs, CagA serves as an oncogenic scaffold/adaptor that promiscuously interacts with SH2 domain‐containing mammalian proteins such as the Src homology 2 (SH2) domain‐containing protein tyrosine phosphatase‐2 (SHP2) and the C‐terminal Src kinase (Csk), a negative regulator of Src family kinases. Like CagA, Pragmin also forms a physical complex with Csk. In the present study, we found that Pragmin directly binds to Csk by the tyrosine‐phosphorylated EPIYA motif. The complex formation potentiates kinase activity of Csk, which in turn phosphorylates Pragmin on tyrosine‐238 (Y238), Y343, and Y391. As Y391 of Pragmin comprises the EPIYA motif, Pragmin–Csk interaction creates a feed‐forward regulatory loop of Csk activation. Together with the finding that Pragmin and Csk are colocalized to focal adhesions, these observations indicate that the Pragmin–Csk interaction, triggered by Pragmin EPIYA phosphorylation, robustly stimulates the kinase activity of Csk at focal adhesions, which direct cell‐matrix adhesion that regulates cell morphology and cell motility. As a consequence, expression of Pragmin and/or Csk in epithelial cells induces an elongated cell shape with elevated cell scattering in a manner that is mutually dependent on Pragmin and Csk. Deregulation of the Pragmin–Csk axis may therefore induce aberrant cell migration that contributes to tumor invasion and metastasis.
Industrial adoption of agent-based technologies

We developed new class of approaches to manufacturing and supply chain decision making. These approaches employ multiagent systems, which consist of a set of intelligent agents hosted on an appropriate software platform. Agent-based technology can potentially solve complex, dynamic decision processes that are distributed. By enabling networks of autonomous yet interacting reasoning elements, this technology provides an alternative to the centralized systems prevailing in industry.
Computer Aided Diagnosis for Traditional Chinese Medicine Based on Information Retrieval Techniques

Traditional expert systems for medical diagnosis have a major pitfall, in that it is difficult to adopt new knowledge, particularly from descriptive, incomplete and unstructured information. Information retrieval sounds a natural answer to these problems. This paper presents an information retrieval based approach to computer aided diagnosis in order to tackle this problem. Preliminary experimental results with traditional Chinese medicine expertise show that it can effectively help to diagnose based on the descriptive symptoms provided.
A Framework for Interactive Realtime Image Editing

We present a complete framework for interactive image editing with a focus on quickly obtaining results based on user input via brushstrokes. The goal is to show feedback to changing input in realtime while maintaining high quality output. We achieve this by extracting vital information in the form of local color clusters and a corresponding locally linear structure from the input image. With this information the problem of propagating any sort of features provided by user input can be executed conveniently and very efficiently. One of the major merits of our approach is that the locally linear structure does not impose any restrictions on the cluster structure. The fully automatically created structure essentially allows for a flexible scaling of the overall computational cost for propagating user edits. If needed, a more detailed output can be obtained by enforcing the creation of smaller clusters.
BIPOLAR DISORDER AND OTHER ASSOCIATED FACTORS IN POSTNATAL DEPRESSION

Postnatal depression is common and affects 10-15% of postpartum women. While there are many studies on the depressive episode in the postnatal period, its association with the bipolar spectrum disorder is often go unrecognized and undiagnosed. Objective: To study the rate of bipolar spectrum disorder in mothers presented with postpartum depression and its associated factors. Method: This is a cross sectional study on the women who visited the postnatal clinic in University Malaya Medical Centre. Subjects who consented were asked to complete a short questionnaire looking at the socio-demographic details and asked to answer the Multidimensional Scale of Perceived Social Support (MSPSS), Mood Disorder questionnaire (MDQ) and Edinburgh Postnatal Depression Scale (EPDS) whish assess the perceived social support and mood disorder. Result: A total of 93 women were recruited into the study. Independent t-test and stepwise regression analysis identified that unemployment and baby with health problem were the only associated factors for postnatal depression. 28.6% of the mother with possible postnatal depression (EPDS ≥ 12) might have bipolar spectrum disorder (MDQ ≥ 7). Conclusion: Postnatal depression as part of bipolar spectrum disorder needed additional attention. Postnatal check with screening tools may help to identify mood disturbance in postpartum women.
Motivational Factors in Multilingual Students' Learning Additional Languages: The Case of English and Turkish

The current study examined the relationships among motivational factors (i.e., motivation types and motivational strength, and language anxiety) in the simultaneous learning process of additional languages. A mixed-methods design was conducted with 86 multilingual learners learning both English and Turkish. The data were collected using a survey and follow-up open-ended questions about the motivational factors. There were three major findings of the study. First, the motivational factors in one language were positively correlated with the same factors in another. Second, although the learners' motivation (i.e., intrinsic, extrinsic and integrative) and motivational strength to continue their education showed no differences in both languages, their L2 anxiety towards learning additional languages was statistically different, in that learners were less anxious when learning English language than learning Turkish language. Third, multilingual learners' interest in learning other languages and willingness to integrate in the target language culture, the status quo of the target language in the global world and the level of unfamiliarity of the target language seem to play a role in the learners' beliefs of motivation, feeling in learning additional languages and intention to study languages. Overall, the study highlighted the role of multilingualism in learning English and Turkish. It also shed light on understanding L2 affective factors learning distinct L2s.
Registration of Microscopic Range Images Obtained by Shape from Focus

We present a shape from focus algorithm to reconstruct range images of microscopic objects from different directions using a hardware setup with a rotatable imaging tube and show how the orientation between the range images can be calculated using a variant of the iterative closest point algorithm. We first describe the special imaging geometry of our setup and the changes that have to be made to algorithms where the imaging tube is perpendicular to the object stage. Then we describe how the range images are distorted if the orientation of the imaging tube is not known exactly and propose that proper registration can be achieved if we do not use the metric coordinates of the points but the sensor coordinates after projection into the image stacks. Our method allows to obtain sharp stereoscopic images that can be used for shape from stereo and to obtain range images from multiple directions that can be fused to a refined 3D model. The importance of proper modelling of the imaging geometry and the distortion effects is evaluated on synthetic and real image stacks.
Operational Testing of Hydrological Simulation Models

A hierarchical scheme for the systematic testing of hydrological simulation models is proposed which ties the nature of the test to the difficulty of the modelling task. The testing is referred to as operational, since its aim is merely to assess the performance of a model in situations as close as possible to those in which it is supposed to be used in practice; in other words, to assess its operational adequacy. The measure of the quality of performance is the degree of agreement of the simulation result with observation. Hence, the power of the tests being proposed is rather modest, and even a fully successful result can be seen only as a necessary, rather than a sufficient, condition for model adequacy vis-à-vis the specific modelling objective. The scheme contains no new and original ideas; it is merely an attempt to present an organized methodology based on standard techniques, a methodology that can be viewed as a generalization of the routine split-sample test. Its main aim is to accommodate the possibility of testing model transposability, both of the simple geographical kind and of more complex kinds, such as transposability between different types of land use, climate, and other types of environmental changes. Vérification, en conditions réelles, des modèles de simulation hydrologique RESUME L'auteur propose un plan hiérarchique pour la vérification systématique des modèles de simulation hydrologique, la nature du test étant liée à la difficulté de la modélisation. Les vérifications sont dites en conditions réelles puisque leur but est simple-ment d'évaluer la fidélité d'un modèle dans des situations les plus rapprochées possible de celles dans lesquelles il est censé servir; en d'autres termes, il s'agit d'évaluer s'il est opérationnel. La fidélité est le degré de concordance entre les résultats de la simulation et les observations. Il s'ensuit que la puissance des tests proposés est plutôt modeste, et même un résultat complètement positif peut seulement être considéré comme la condition nécessaire plutôt que suffisante de la fidélité du modèle. Le plan peut paraître une tentative pour généraliser le test répétitif â échantillons sub-divisés en vue de prendre en charge la possibilité de vérifier 13 14 V. Klemes l'adaptabilite des modèles, qu'elle soit du simple type géographique ou de types plus complexes tels que l'adaptabilite à différents types d'utilisation des terres de climat ou d'autres types de modifications de l'environ-nement .
SimSoC-CERT : a Certified Simulator for Systems on Chip

The design and debugging of Systems-on-Chip using a hardware implementation is difficult and requires heavy material. Simulation is an interesting alternative approach, which is both more flexible and less expensive. SimSoC [1] is a fast instruction set simulator for various ARM, PowerPC, and RISC-based architectures. However, speed involves tricky shortcomings and design decisions, resulting in a complex software product. This makes the accuracy of the simulator a non-trivial question: there is a strong need to strengthen the confidence that simulations results match the expected accuracy. We therefore decided to certify SimSoC, that is, to formally prove in Coq the correctness of a significant part of this software. The present paper reports our first efforts in this direction, targeting the ARMv6 architecture.
novel homogeneous Fenton-like system with Fe ( III ) – phosphotungstate for xidation of organic compounds at neutral pH values

Ferric ion (Fe[III]) catalyzes the decomposition of hydrogen peroxide (H2O2) into strong oxidants such as hydroxyl radical (•OH) and ferryl ion (Fe[IV]) through the redox cycling of the iron couple (Fe[II]/Fe[III]). The use of these reactions for the catalytic oxidation of organic compounds is usually limited to the acidic pH region due to the low solubility of Fe(III) and the low efficiency of oxidant production at neutral pH 3−
SXPath - Extending XPath towards Spatial Querying on Web Documents

Querying data from presentation formats like HTML, for purposes such as information extraction, requires the consideration of tree structures as well as the consideration of spatial relationships between laid out elements. The underlying rationale is that frequently the rendering of tree structures is very involved and undergoing more frequent updates than the resulting layout structure. Therefore, in this paper, we present Spatial XPath (SXPath), an extension of XPath 1.0 that allows for inclusion of spatial navigation primitives into the language resulting in conceptually simpler queries on Web documents. The SXPath language is based on a combination of a spatial algebra with formal descriptions of XPath navigation, and maintains polynomial time combined complexity. Practical experiments demonstrate the usability of SXPath.
FLIP as an Anti-Cancer Therapeutic Target

Suppression of apoptosis is one of the hallmarks of carcinogenesis. Tumor cells endure apoptotic pressure by overexpressing several antiapoptotic proteins, and FLICE inhibitory protein (FLIP) is one of the important antiapoptotic proteins that have been shown to be overexpressed in various primary tumor cells. FLIP has two death-effector domains in tandem, mimicking the prodomain of procaspase-8. It is recruited to Fadd in death-inducing signaling complex, thereby preventing the activation of procaspase-8. To date, three isoforms of human cytosolic FLIP (c-FLIP) and six viral homologs (v-FLIP) have been identified. Recently, the crystal structure of v-FLIP MC159 was determined for the first time as an atomic-detail FLIP structure, which revealed that two death effector domains are packed tightly against each other mainly through conserved hydrophobic interactions. The overexpression of c-FLIP in tumor cells has been shown to be the determinant of the tumor's resistance to death ligands such as FasL and TRAIL. It has also been shown that the down-regulation of c-FLIP results in sensitizing resistant tumor cells. Therefore, the agents directly targeting c-FLIP at mRNA and protein levels are expected to be developed in near future and tested for the potential as a new class of anti-cancer drugs.
Correlation of qEEG with PET in Schizophrenia

PET relative metabolism was correlated with quantitative EEG in 9 schizophrenic patients. The PET metabolic regions of interest were the frontal lobes, thalamus and basal ganglia, and right and left temporal lobes. Significant positive correlations were seen for the frontal lobes and delta EEG power, and alpha power with subcortical metabolism. The physiologic plausibility of those correlations is discussed with reference to the possible effect of neuroleptic medication.
Phase Change Memory: Scaling and applications

Phase Change Memory (PCM) technology is a promising candidate for the future non-volatile memory applications. Scaling of PCM into the sub-10 nm regime has been demonstrated using novel applications of nanofabrication techniques. PCM devices using solution-processed GeTe nanoparticles of diameter range 1.8-3.4nm has been demonstrated. Highly scaled (<;2nm) PCM cross-point device using carbon nanotube as the electrode is fabricated proving the scalability of PCM to ultra small dimensions. The use of PCM as a nanoelectronic synapse for neuromorphic computation is also demonstrated as an illustration of PCM application beyond digital memory.
H2A.Z Demarcates Intergenic Regions of the Plasmodium falciparum Epigenome That Are Dynamically Marked by H3K9ac and H3K4me3

Epigenetic regulatory mechanisms and their enzymes are promising targets for malaria therapeutic intervention; however, the epigenetic component of gene expression in P. falciparum is poorly understood. Dynamic or stable association of epigenetic marks with genomic features provides important clues about their function and helps to understand how histone variants/modifications are used for indexing the Plasmodium epigenome. We describe a novel, linear amplification method for next-generation sequencing (NGS) that allows unbiased analysis of the extremely AT-rich Plasmodium genome. We used this method for high resolution, genome-wide analysis of a histone H2A variant, H2A.Z and two histone H3 marks throughout parasite intraerythrocytic development. Unlike in other organisms, H2A.Z is a constant, ubiquitous feature of euchromatic intergenic regions throughout the intraerythrocytic cycle. The almost perfect colocalisation of H2A.Z with H3K9ac and H3K4me3 suggests that these marks are preferentially deposited on H2A.Z-containing nucleosomes. By performing RNA-seq on 8 time-points, we show that acetylation of H3K9 at promoter regions correlates very well with the transcriptional status whereas H3K4me3 appears to have stage-specific regulation, being low at early stages, peaking at trophozoite stage, but does not closely follow changes in gene expression. Our improved NGS library preparation procedure provides a foundation to exploit the malaria epigenome in detail. Furthermore, our findings place H2A.Z at the cradle of P. falciparum epigenetic regulation by stably defining intergenic regions and providing a platform for dynamic assembly of epigenetic and other transcription related complexes.
Effectiveness of fractal dimension for ASR in low resource language

We propose to use multiscale fractal dimension (MFD) as components of feature vectors for automatic speech recognition (ASR) especially in low resource languages. Speech, which is known to be a nonlinear process, can be efficiently represented by extracting some nonlinear properties, such as fractal dimension, from the speech segment. During speech production, vortices (generated due to presence of separated airflow) may travel along the vocal tract and excite vocal tract resonators at the epiglottis, velum, palate, teeth, lips, etc. By Kolmogorov's law, the gradient in energy levels between these vortices produces turbulence. This ruggedness, and in effect, the embedded features of different phoneme classes, can be captured by invariant property of FD. Furthermore, speech is a multifractal, which justifies the use of multiscale fractal dimension as feature components for speech. In this paper, we describe the multifractal nature of speech signal and use this property for automatic phonetic segmentation task. The results show a significant decrease in % EER (≈ 4.2 % from traditional MFCC base features and ≈ 2.5 % from MFCC appended with 1-D fractal dimension). The DET curves clearly show improvement in the performance with the new multiscale fractal dimension-based features for low resource language under consideration.
An efficient middleware architecture supporting time-triggered message-triggered objects and an NT-based implementation

The time-triggered message-triggered object (TMO) structuring scheme has been established to remove the limitation of conventional object structuring techniques in developing applications containing real time (RT) distributed computing components. It is a natural and syntactically small but semantically powerful extension of the object oriented design and implementation techniques which allows the system designer to abstractly and yet accurately specify timing characteristics of data and function components of high level distributed computing objects. It is a unified approach for design and implementation of both RT and non-RT distributed applications. A cost-effective way to support TMO-structured distributed RT programming is to build a TMO execution engine as a middleware running on well established commercial software/hardware platforms. We present an efficient middleware architecture named TMO Support Middleware (TMOSM) which can be easily adapted to many commercial-off-the-shelf (COTS) platforms. The performance of a prototype implementation of TMOSM running on Windows NT platforms is also discussed.
The Pragma-Stylistics of Internet Memes

Image macros are a particular kind of internet meme which consist of patterned combinations of image and text which, through widespread (re-)production, have become an established sub-genre, cohering around a certain fixed set of features, called ‘cohesive quiddities’ (Segev et al, 2015). The stylistic features of these incredibly popular online texts have not been described until now, despite the fact that memes operate under very strict stylistic rules and are subject to great user creativity. This study provides a pragma-stylistic analysis of five of the most popular image macro families, as well as their most liked and disliked iterations. An existing framework for the analysis of internet memes (Shifman, 2014) is adopted and refined and applied in a qualitative analysis of the data. In order to account for the reasons behind their (dis)approval in the meme community, this study incorporates into the model additional concepts from humour studies and from Goffman, including ‘keying’ (1979/1981) and the distinction between ‘author’ and ‘animator’ (1974/1986). In providing a pragma-stylistic account of image macros, this chapter advances the analytical toolkit available to stylisticians dealing with digital texts and contexts. […] The whole process normally involves language with all its variability and subtlety. In short, the transmission of ideas through imitation is totally unlike the transmission of genes through reproduction, so the analogy between genes and memes is misleading from the start.
Continuous subcutaneous glucose monitoring in diabetic patients: a multicenter analysis.

OBJECTIVE To evaluate the accuracy of a new subcutaneous glucose sensor (Glucoday; A. Menarini Diagnostics) compared with venous blood glucose measurement in type 1 and type 2 diabetic patients. RESEARCH DESIGN A multicenter study was performed in 70 diabetic patients. A microdialysis fiber was inserted subcutaneously into the periumbelical region and perfused with a buffer solution. Glucose concentrations in the dialysate were then measured every 3 min by the glucose sensor over a 24-h period, during which nine venous blood samples were also collected throughout the day. RESULTS Both the insertion of the fiber and the wearing of the device were well tolerated by the patients. Subcutaneous glucose levels were well correlated with venous glucose measurements (r = 0.9, P < 0.001) over a wide range (40-400 mg/dl) for up to 24 h, with a single-point calibration. An analysis of 381 data pairs showed a linear relationship between the GlucoDay and serial venous blood glucose levels, and 97% of the data fell in the A and B regions of the error grid analysis. Percentage bias between the GlucoDay and the blood venous levels was -2.0% in the hypoglycemic range (<70 mg/dl), 6.9% in the euglycemic range (70-180 mg/dl), and 11.2% in the hyperglycemic range (>180 mg/dl). CONCLUSIONS The GlucoDay system demonstrated high reliability and reported values that closely agreed with venous blood glucose measurements. The system was well tolerated and thus constitutes a relatively easy method to monitor glucose excursions in diabetic patients.
Ranking Financial Institutions Based on of Trust in online banking Using ARAS and ANP Method

Various models have been developed by scientists about e-trust that are not comprehensive and only refer to some components. In this study, initially the works of other scientists and their models were analyzed and then a new conceptual model is presented. This conceptual model contains seven different antecedents which affect the customer’s e-trust in online banking. In order to determine and prioritize the relationship between model components and identify their effects on customer’s trust in online e-banking, we have used the ARAS method, which ranks the financial institutions on the basis of proposed criteria affecting customers’ trust in e-banking.