Miracle-dz/UniFAR-FTUs huggingface dataset:
Pericardial Adipose Tissue Determined by Dual Source CT Is a Risk Factor for Coronary Atherosclerosis

Objectives—Pericardial fat as a visceral fat depot may be involved in the pathogenesis of coronary atherosclerosis. To gain evidence for that concept we sought to investigate the relation of pericardial fat volumes to risk factors, serum adiponectin levels, inflammatory biomarkers, and the quantity and morphology of coronary atherosclerosis. Methods and Results—Using Dual source CT angiography pericardial fat volume and coronary atherosclerosis were assessed simultaneously. Plaques were classified as calcified, mixed, and noncalcified, and the number of affected segments served as quantitative score. Patients with atherosclerotic lesions had significant larger PAT volumes (226 cm3±92 cm3) than patients without atherosclerosis (134 cm3±56 cm3; P>0.001). No association was found between BMI and coronary atherosclerosis. PAT volumes >300 cm3 were the strongest independent risk factor for coronary atherosclerosis (odds ratio 4.1; CI 3.63 to 4.33) also significantly stronger compared to the Framingham score. We furthermore demonstrated that elevated PAT volumes are significantly associated with low adiponectin levels, low HDL levels, elevated TNF-&agr; levels, and hsCRP. Conclusion—In the present study we demonstrated that elevated PAT volumes are associated with coronary atherosclerosis, hypoadiponectinemia, and inflammation and represent the strongest risk factor for the presence of atherosclerosis and may be important for risk stratification and monitoring.
Memoise: A tool for memoized symbolic execution

This tool paper presents a tool for performing memoized symbolic execution (Memoise), an approach we developed in previous work for more efficient application of symbolic execution. The key idea in Memoise is to allow re-use of symbolic execution results across different runs of symbolic execution without having to re-compute previously computed results as done in earlier approaches. Specifically, Memoise builds a trie-based data structure to record path exploration information during a run of symbolic execution, optimizes the trie for the next run, and re-uses the resulting trie during the next run. Our tool optimizes symbolic execution in three standard scenarios where it is commonly applied: iterative deepening, regression analysis, and heuristic search. Our tool Memoise builds on the Symbolic PathFinder framework to provide more efficient symbolic execution of Java programs and is available online for download. The tool demonstration video is available at http://www.youtube. com/watch? v=ppfYOB0Z2vY.
Universal compression of memoryless sources over unknown alphabets

It has long been known that the compression redundancy of independent and identically distributed (i.i.d.) strings increases to infinity as the alphabet size grows. It is also apparent that any string can be described by separately conveying its symbols, and its pattern-the order in which the symbols appear. Concentrating on the latter, we show that the patterns of i.i. d. strings over all, including infinite and even unknown, alphabets, can be compressed with diminishing redundancy, both in block and sequentially, and that the compression can be performed in linear time. To establish these results, we show that the number of patterns is the Bell number, that the number of patterns with a given number of symbols is the Stirling number of the second kind, and that the redundancy of patterns can be bounded using results of Hardy and Ramanujan on the number of integer partitions. The results also imply an asymptotically optimal solution for the Good-Turing probability-estimation problem.
Myostatin: Expanding horizons

Myostatin is a secreted growth and differentiation factor that belongs to the TGF‐β superfamily. Myostatin is predominantly synthesized and expressed in skeletal muscle and thus exerts a huge impact on muscle growth and function. In keeping with its negative role in myogenesis, myostatin expression is tightly regulated at several levels including epigenetic, transcriptional, post‐transcriptional, and post‐translational. New revelations regarding myostatin regulation also offer mechanisms that could be exploited for developing myostatin antagonists. Increasingly, it is becoming clearer that besides its conventional role in muscle, myostatin plays a critical role in metabolism. Hence, molecular mechanisms by which myostatin regulates several key metabolic processes need to be further explored. © 2015 IUBMB Life, 67(8):589–600, 2015
Epithelial polarity requires septin coupling of vesicle transport to polyglutamylated microtubules

In epithelial cells, polarized growth and maintenance of apical and basolateral plasma membrane domains depend on protein sorting from the trans-Golgi network (TGN) and vesicle delivery to the plasma membrane. Septins are filamentous GTPases required for polarized membrane growth in budding yeast, but whether they function in epithelial polarity is unknown. Here, we show that in epithelial cells septin 2 (SEPT2) fibers colocalize with a subset of microtubule tracks composed of polyglutamylated (polyGlu) tubulin, and that vesicles containing apical or basolateral proteins exit the TGN along these SEPT2/polyGlu microtubule tracks. Tubulin-associated SEPT2 facilitates vesicle transport by maintaining polyGlu microtubule tracks and impeding tubulin binding of microtubule-associated protein 4 (MAP4). Significantly, this regulatory step is required for polarized, columnar-shaped epithelia biogenesis; upon SEPT2 depletion, cells become short and fibroblast-shaped due to intracellular accumulation of apical and basolateral membrane proteins, and loss of vertically oriented polyGlu microtubules. We suggest that septin coupling of the microtubule cytoskeleton to post-Golgi vesicle transport is required for the morphogenesis of polarized epithelia.
Structural and functional connectivity in healthy aging: Associations for cognition and motor behavior

Age‐related behavioral declines may be the result of deterioration of white matter tracts, affecting brain structural (SC) and functional connectivity (FC) during resting state. To date, it is not clear if the combination of SC and FC data could better predict cognitive/motor performance than each measure separately. We probed these relationships in the cingulum bundle, a major white matter pathway of the default mode network. We aimed to attain deeper knowledge about: (a) the relationship between age and the cingulum's SC and FC strength, (b) the association between SC and FC, and particularly (c) how the cingulum's SC and FC are related to cognitive/motor performance separately and combined. We examined these associations in a healthy and well‐educated sample of 165 older participants (aged 64‐85). SC and FC were acquired using probabilistic tractography to derive measures to capture white matter integrity within the cingulum bundle (fractional anisotropy, mean, axial and radial diffusivity) and a seed‐based resting‐state functional MRI correlation approach, respectively. Participants performed cognitive tests measuring processing speed, memory and executive functions, and motor tests measuring motor speed and grip force. Our data revealed that only SC but not resting state FC was significantly associated with age. Further, the cingulum's SC and FC showed no relation. Different relationships between cognitive/motor performance and SC/FC separately were found, but no additive effect of the combined analysis of cingulum's SC and FC for predicting cognitive/motor performance was apparent. Hum Brain Mapp 37:855–867, 2016. © 2015 Wiley Periodicals, Inc.
Discursive Scholarship in Anti-Racist/Cross-Cultural Social Work Education

Multiculturalism has become a critical debate in social work education with contemporary scholars arguing that this issue poses social work with one of its greatest challenges in the 21st century (Powell 2001; Dominelli, Lorenz and Soyden 2001; Razack 2002). Whether we agree that anti-racist/cross-cultural education is the major issue or not, social work scholars cannot ignore the fact that the rapidly changing social, political and cultural landscape in Australian society during the last half of the 20th century has unsettled the dominant monocultural discourse characteristic of the first half, consequently, demanding social work academe foster a culturally aware program that prepares students and practitioners for the realities of practice in an increasingly multicultural community.
Longitudinal consistency of adult personality: self-reported psychological characteristics across 45 years.

The longitudinal consistency of personality characteristics over a period of 45 years is examined. The data are drawn from the Kelly Longitudinal Study, a panel involving an original group of 300 men and 300 women. Measures of emotional disturbance (from the Bell and Bernreuter inventories) during the 1930s and the 1950s had significant correlations in the . 25-. 40 range with measures of psychiatric symptoms (from the Cornell Medical Index) taken in 1979-1981. Revised inventory scales with content related to neuroticism and social introversion-extraversion had moderate longitudinal consistency across several decades of adult life and demonstrated convergent and discriminant validity. This study demonstrates the utility of personality measurements in predicting significant psychological outcomes over the full interval of the normal adult lifespan.
Predictions for voluntary dry matter intake in dairy cows

The objective of this thesis was to compare and evaluate five different dry matter intake (DMI) models and to find factors important for DMI prediction based on data from studies conducted in Sweden, Norway, Denmark and Finland. Differences between intake models and the input factors used for calculation of dry matter intake for lactating dairy cows are described. Five different systems for calculation of the dry matter intake (DMI) for dairy cows were evaluated. The systems described and evaluated are LFU (Lantmannen feed division), CNCPS (Cornell Net Carbohydrate and Protein System), NRC (National Research Council), DFFS (Danish Fill Factor System) and NAAT (Norwegian AAT). The data used in the evaluation part originated from Sweden, Denmark, Finland and Norway. The data used in the meta-analysis was compiled for use in the development process of the new common Nordic feed evaluation system named NorFor. The DMI prediction systems were compared using linear regression between DMI observed and DMI predicted by the different systems. Correlation analysis was used to select the factors' relationships. The most important factors for DMI prediction, based on correlation analysis, are milk yield, week of lactation, concentrate proportion of feed and Neutral Detergent Fibre (NDF) content of feed. A conclusion from this work is a recommendation to the NorFor project group to choose the DFFS system as a basis to further develop their feed evaluation system, NorFor Plan.
On the Quantification of SSVEP Frequency Responses in Human EEG in Realistic BCI Conditions

This article concerns one of the most important problems of brain-computer interfaces (BCI) based on Steady State Visual Evoked Potentials (SSVEP), that is the selection of the a-priori most suitable frequencies for stimulation. Previous works related to this problem were done either with measuring systems that have little in common with actual BCI systems (e.g., single flashing LED) or were presented on a small number of subjects, or the tested frequency range did not cover a broad spectrum. Their results indicate a strong SSVEP response around 10 Hz, in the range 13–25 Hz, and at high frequencies in the band of 40–60 Hz. In the case of BCI interfaces, stimulation with frequencies from various ranges are used. The frequencies are often adapted for each user separately. The selection of these frequencies, however, was not yet justified in quantitative group-level study with proper statistical account for inter-subject variability. The aim of this study is to determine the SSVEP response curve, that is, the magnitude of the evoked signal as a function of frequency. The SSVEP response was induced in conditions as close as possible to the actual BCI system, using a wide range of frequencies (5–30 Hz, in step of 1 Hz). The data were obtained for 10 subjects. SSVEP curves for individual subjects and the population curve was determined. Statistical analysis were conducted both on the level of individual subjects and for the group. The main result of the study is the identification of the optimal range of frequencies, which is 12–18 Hz, for the registration of SSVEP phenomena. The applied criterion of optimality was: to find the largest contiguous range of frequencies yielding the strong and constant-level SSVEP response.
Growing models of vertebrate limb development

The developing limb has been a very influential system for studying pattern formation in vertebrates. In the past, classical embryological models have explained how patterned structures are generated along the two principal axes of the limb: the proximodistal (shoulder to finger) and anteroposterior (thumb to little finger) axes. Over time, the genetic and molecular attributes of these patterning models have been discovered, while the role of growth in the patterning process has been only recently highlighted. In this review, we discuss these recent findings and propose how the various models of limb patterning can be reconciled.
The CASE approach for pupils with learning difficulties

Using Thinking Science with mixed-ability classes can be challenging, as there is a need to find ways of engaging pupils who have different needs and abilities. Identifying appropriate levels of challenge to stimulate pupils' thinking and including strategies that encourage social interactions and reflection can help to facilitate the process of construction. Scenarios from two Thinking Science lessons provide examples of how cognitive conflict and social space learning were facilitated for pupils with different needs, including some pupils with learning difficulties.
Smartphone Enabled Intelligent Surveillance System

Surveillance plays a crucial role in day-to-day life. A typical surveillance system continuously monitors its vicinity and stores the surveillance data locally. This may end up in lots of memory and energy wastage. Moreover, the surveillance records are under security threat, when the surveillance system is seized or damaged by the intruders. In this paper, a new design for surveillance using smartphone along with the passive infrared (PIR) sensor and the microcontroller unit (MCU) is proposed. The PIR sensor is attached to the smartphone through the MCU to detect motion. The video is captured only when the motion is detected and the short message services alert is sent to the user straight away. To overcome the memory restrictions of smartphone and to ensure the safe storage of surveillance records, it is uploaded in cloud, and the link is sent to the user through email. The proposed intelligent surveillance system offers cost effective, storage effective, energy efficient, and secured solution as it uses the computation and communication capabilities of the smartphone and the storage capabilities of cloud.
Effect of temperature shifts on gliding motility, adhesion, and fatty acid composition of Cytophaga sp. strain U67

Gliding motility and flipping of 25 degrees C-adapted Cytophaga sp. strain U67 were inhibited when the bacteria were shifted to a less than or equal to 12 degrees C environment; motility was not blocked by a shift to 13 degrees C. Bacteria adapted to 4 degrees C were motile over the entire 4 to 25 degrees C temperature range tested. U67 adhesion to the substratum appeared to be unaffected by temperature shifts. Bacteria adapted to 4 degrees C had higher proportions of unsaturated and branched-chain fatty acids than did those grown at 25 degrees C. When 25 degrees C-adapted bacteria were subjected to a gradual temperature decline, the time of reappearance of gliding competence at 4 to 5 degrees C was correlated with these changes in fatty acid composition.
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

Hyperparameter selection generally relies on running multiple full training trials, with selection based on validation set performance. We propose a gradient-based approach for locally adjusting hyperparameters during training of the model. Hyperparameters are adjusted so as to make the model parameter gradients, and hence updates, more advantageous for the validation cost. We explore the approach for tuning regularization hyperparameters and find that in experiments on MNIST, SVHN and CIFAR-10, the resulting regularization levels are within the optimal regions. The additional computational cost depends on how frequently the hyperparameters are trained, but the tested scheme adds only 30% computational overhead regardless of the model size. Since the method is significantly less computationally demanding compared to similar gradient-based approaches to hyperparameter optimization, and consistently finds good hyperparameter values, it can be a useful tool for training neural network models.
WSMXDiscoCast: a P2P approach for a better automation of the discovery mechanism for web service execution environment

Semantic web services aim to automate the use of web services by adding some annotations to these services in order to improve semantic expression of their functionalities. With the evolution of organisations web services and their widespread use, searching for them based on a distributed context has become a real challenge. A functionality-based web service discovery mechanism is then necessary since the functionalities are the most important thing partners look for. In this paper, we present an automatic, scalable, and distributed discovery mechanism for web service execution environments. Our solution is based on P2P technologies that proved their efficiency and robustness as distributed systems.
Automatic Computerized Endotracheal Tube Position Verification: An Animal Model Evaluation

BACKGROUND: Improper endotracheal tube positioning carries a high risk for morbidity and mortality; verification and confirmation of correct placement is necessary. We propose a computer-automated identification of endotracheal tube positioning using image analysis. The end product will not retain a monitor; rather, the acquired image will be automatically analyzed by a mini electronic processor. METHODS: An algorithm that automatically analyzes images has been developed: it classifies images into esophagus, trachea, and carina. Image processing includes converting the image to grayscale and extracting and classifying into 1 class, on the basis of similarity to pretrained patterns. A prototypical video sensor mounted on an intubating stylet has also been assembled. This stylet was introduced into 10 bovine throats, and video images were gathered. Videos were analyzed and classified as carina, trachea, or esophagus. The videos were then introduced to the new algorithm. In each test cycle, 9 videos were used to train the algorithm, and the 10th was used as a benchmark. This procedure was repeated 10 times so that each video was used 9 times for teaching and 1 time for testing. RESULTS: Ten videos were recorded, of which 1600 images were extracted (trachea: 490 images; carina: 550 images; and esophagus: 560 images). Only 1 esophageal image was classified as trachea (false positive 0.001%). Two carinal images and 22 tracheal images were recognized as esophagus (false negative 0.041%), sensitivity 0.98 and specificity 0.99. Twenty images of the carina were identified as trachea, and 25 images of the trachea were identified as the carina (false positive 0.045%, false negative 0.041%, sensitivity 0.96 and specificity 0.95). CONCLUSION: A potential tube position verification system was assessed. High accuracy of the analysis algorithm was shown using nonperfused biological tissue, justifying further research.
ZNF703 Overexpression may act as an oncogene in non‐small cell lung cancer

Despite therapeutic advances, lung cancer remains one of the most common causes of cancer‐related deaths worldwide. The ZNF703 gene has been identified as the driver of the 8p11‐12 region and its amplification or overexpression has been associated with several types of cancers. It has also been shown that ZNF703 overexpression can activate the Akt/mTOR signaling pathway. The aim of our study was to investigate the role of the ZNF703 gene in association with Akt/mTOR activation in non‐small cell lung cancer (NSCLC). Expression levels in tumors and matched noncancerous tissue samples from 47 patients were analyzed by qRT‐PCR and the Akt phosphorylation levels were investigated by Western blotting. Our results show that ZNF703 is up‐regulated in 63.4% of NSCLC tumor samples. Althogh the correlation did not reach a statistically significant level Akt phosphorylation was increased in tumor tissues expressing high levels of ZNF703. The role of the ZNF703 gene has not been investigated in NSCLC. Our data show that ZNF703 may contribute to tumor development in NSCLC by activating the Akt/mTOR pathway.
Priority based Fuzzy Decision Packet Scheduling Algorithm for QOS in Wireless Sensor Network

As the WSN getting involved in multi-objective system it needs to cope up with different types of data and to properly transfer them according to their requirements. Since the different kind of data have different delay and bandwidth requirements constrains which needed to be fulfilled without exceeding the node internal constrains such as queue buffer overflow. Previous studies shown that the packet scheduling algorithm for WSN does not perform effectively and efficiently which result in degraded QoS. There are different ways to packet scheduling such as to allocate overall bandwidth and time slot on request by following strict priority to adaptive priority basis. Because complexity of task some of these scheduling algorithms require complex mathematical approach to solve the issue. This paper present a fuzzy based algorithm to overcome all related problems which are explained earlier other advantage of using fuzzy logic is that it does not require complex mathematical calculations, finally the simulation of the proposed algorithm is performed using NS2 and the results shows that the proposed algorithm satisfactorily fulfill the system requirements. General Terms Packet scheduling Algorithm.