Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyclin-Dependent Kinase 6 Phosphorylates NF-κB P65 at Serine 536 and Contributes to the Regulation of Inflammatory Gene Expression

Nuclear factor kappa-B (NF-κB) activates multiple genes with overlapping roles in cell proliferation, inflammation and cancer. Using an unbiased approach we identified human CDK6 as a novel kinase phosphorylating NF-κB p65 at serine 536. Purified and reconstituted CDK6/cyclin complexes phosphorylated p65 in vitro and in transfected cells. The physiological role of CDK6 for basal as well as cytokine-induced p65 phosphorylation or NF-κB activation was revealed upon RNAi-mediated suppression of CDK6. Inhibition of CDK6 catalytic activity by PD332991 suppressed activation of NF-κB and TNF-induced gene expression. In complex with a constitutively active viral cyclin CDK6 stimulated NF-κB p65-mediated transcription in a target gene specific manner and this effect was partially dependent on its ability to phosphorylate p65 at serine 536. Tumor formation in thymi and spleens of v-cyclin transgenic mice correlated with increased levels of p65 Ser536 phosphorylation, increased expression of CDK6 and upregulaton of the NF-κB target cyclin D3. These results suggest that aberrant CDK6 expression or activation that is frequently observed in human tumors can contribute through NF-κB to chronic inflammation and neoplasia.
267 Spanish Exomes Reveal Population-Specific Differences in Disease-Related Genetic Variation

Recent results from large-scale genomic projects suggest that allele frequencies, which are highly relevant for medical purposes, differ considerably across different populations. The need for a detailed catalog of local variability motivated the whole-exome sequencing of 267 unrelated individuals, representative of the healthy Spanish population. Like in other studies, a considerable number of rare variants were found (almost one-third of the described variants). There were also relevant differences in allelic frequencies in polymorphic variants, including ∼10,000 polymorphisms private to the Spanish population. The allelic frequencies of variants conferring susceptibility to complex diseases (including cancer, schizophrenia, Alzheimer disease, type 2 diabetes, and other pathologies) were overall similar to those of other populations. However, the trend is the opposite for variants linked to Mendelian and rare diseases (including several retinal degenerative dystrophies and cardiomyopathies) that show marked frequency differences between populations. Interestingly, a correspondence between differences in allelic frequencies and disease prevalence was found, highlighting the relevance of frequency differences in disease risk. These differences are also observed in variants that disrupt known drug binding sites, suggesting an important role for local variability in population-specific drug resistances or adverse effects. We have made the Spanish population variant server web page that contains population frequency information for the complete list of 170,888 variant positions we found publicly available (http://spv.babelomics.org/), We show that it if fundamental to determine population-specific variant frequencies to distinguish real disease associations from population-specific polymorphisms.
PERFORMANCE COMPARISON BETWEEN THE CLICK MODULAR Router and the NetFPGA Router

It is possible to forward minimum-sized packets at rates of hundreds of Mbps using commodity hardware and Linux. We had a preference for the Click Modular Router platform due its flexibility and the fact that it claimed to have equal or higher performance than native forwarding if used with its polling drivers. Moreover, the NetFPGA is an open networking platform accelerator that enables researchers and instructors to build working prototypes of high-speed, hardware-accelerated networking systems. NetFPGA reference designs comprised in the system include an IPv4 router, an Ethernet switch, a four- port NIC, and SCONE (Software Component of NetFPGA). Researchers have used the platform to build advanced network flow processing systems. We have followed the RFC1242 - Benchmarking Terminology for Network Interconnection Devices - and the RFC2544 - Benchmarking Methodology for Network Interconnection Devices - in order to define the specific set of tests to use to describe the performance characteristics of the two routers. We have also shown a test comparison between the NetFPGA and the Click router about a file transfer using the FTP and the HTTP protocol.Overall, the NetFPGA router performance outperforms the Click router performance.
Anonymous Vehicle Reidentification Using Heterogeneous Detection Systems

An innovative feature of this paper is the demonstration of the feasibility of real-time vehicle reidentification algorithm development at a signalized intersection, where different traffic detection technologies were employed at upstream and downstream locations. Previous research by the authors on vehicle reidentification has utilized the same traffic sensors (e.g., conventional square inductive loops) and detectors (e.g., high-speed scanning detector cards) at both locations. In this paper, an opportunity arose for the first time to collect a downstream data set from a temporary installation of a prototype innovative inductive loop sensor known as a ldquobladerdquo sensor in conjunction with conventional inductive loops upstream. At both locations, advanced high-speed scanning detector cards were used. Although the number of vehicles for which data could be collected was small, encouraging results were obtained for vehicle reidentification performance in this system of mixed traffic detection technologies. In future large-scale applications of vehicle reidentification approaches for real-time traffic performance measurement, management, and control, it would be most beneficial and practical if heterogeneous and homogeneous detection systems could be supported. This initial paper yielded many useful insights about this important issue and demonstrated on a small scale the feasibility of vehicle reidentification in a system with heterogeneous detection technologies.
Semantics preserved concept based mining model

Most of the text retrieval and mining methods are still based on the exact word matching and they use term frequency (word or phrases) as basic measure. It captures the importance of the term in the document but may not capture the original semantics of the term, resulting in poor retrieval performance. To overcome the lack of semantic consideration, a new framework has been introduced which relies on the concept based mining model and semantic based approach. The core part of our model is concept extraction, which perform functions such as document cleaning, parts-of-speech tagging, parsing, term and phrase extraction, feasibility analysis and relation miner. Semantic net and synonym dictionary preserve the semantic relationship in the text document. The dataset used here is ACM abstract articles collected from ACM digital library. Large sets of experiments using the proposed model were conducted and the results demonstrate the accuracy of mining model using semantics preserved concepts, feasibility analysis using singular value decomposition and semantic net representation.
Learning effects of repetitive administration of the Southampton Hand Assessment Procedure in novice prosthetic users.

OBJECTIVE The Southampton Hand Assessment Procedure (SHAP) evaluates the functionality of normal, injured or prosthetic hands. The aim was to evaluate the learning effects of SHAP tasks and the appropriateness of the time limits applied per task in novice prosthetic users. METHODS Right-handed unimpaired volunteers (n = 24, mean age 21.8 years) completed 8 SHAP sessions over 5 consecutive days using a prosthetic simulator. The execution times of SHAP tasks were transformed into 6 prehensile patterns, the functionality profile, and the index of function, a general functionality score. Learning effects in task times were analysed using multilevel analysis. RESULTS Learning effects occurred in all SHAP tasks. Tasks, sex, sessions, tasks-sessions interaction, and the first session of the day contributed (p < 0.01) to the execution times. Tasks were performed more slowly by females and more slowly on the first session of the day. In several tasks time limits were exceeded by > 25% of participants in at least the first 3 sessions, which affected the calculation of the functionality profile and index of function scores. CONCLUSION The learning effects of SHAP in novice prosthetic users require consideration when conducting a reliability study. SHAP scores in novice prosthetic-hand users are confounded by learning effects and exceeded time limits.
A Cohort Study to Evaluate the Feasibility of Low Load/High Repetition Elastic Band Resistance Training for People with Chronic Obstructive Pulmonary Disease

Background: Resistance training is an important component of pulmonary rehabilitation in people with Chronic Obstructive Pulmonary Disease (COPD). A vast majority or resistance training studies in COPD have focused on increasing muscular strength with use of weight machines and has been found to be a feasible approach in COPD. However, regarding feasibility of resistance training equipment other than weight machines, such as elastic resistance equipment, information is scarce. In addition, little is known regarding other trainable muscle characteristics, such as peripheral muscular endurance in COPD. We therefore aim to evaluate the feasibility of a low load/high repetition elastic band Resistance Training (RT) regimen in people with moderate to severe COPD. We also aim to evaluate if the RT regimen is feasible for the physiotherapists, conducting the intervention. Methods: Twenty-two participants with moderate to severe COPD (mean forced expiratory volume in one second, and progression of exercise intensity, adverse events, participant and compliance (participant and physiotherapist) were collected for assessment of feasibility. Results: The mean (95% confidence interval) attendance rate was 94% (91-97) and mean exercise intensity was 79% (74-83) of the predicted maximum intensity. Furthermore, the median (interquartile range) compliance was 96% (94-96) and 100% (94-100) for the people with COPD and the physiotherapists respectively. Exercise intensity increased on all exercises and any recorded adverse events were considered minor and temporary Conclusions: Low load/high repetition elastic band resistance training appears to be feasible for both people with COPD and the physiotherapists performing the intervention. These results indicate that elastic bands could be a feasible alternative to weight machines in resistance training for people with COPD
An Image Fusion Method Based on WNMF and Region Segmentation

This paper proposes a novel image fusion method based on weighted non-negative matrix factorization (WNMF) and region segmentation. Firstly, visible and infrared images are endowed different weight, and are taken as original data in WNMF analysis, by which the feature image can be extracted. Then the target regions in infrared image are segmented by region growing method and are extracted, then the pixels of the target regions replace the pixels of corresponding position in feature image. At last, the fusion image is obtained. The experimental results show that the method is better than previous ones, both in visual effect and objective evaluation criteria.
Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis

In lifetime analysis of electric transformers, the maximum likelihood estimation has been proposed with the EM algorithm. However, it is not clear whether the EM algorithm offers a better solution compared to the simpler Newton-Raphson (NR) algorithm. In this article, the first objective is a systematic comparison of the EM algorithm with the NR algorithm in terms of convergence performance. The second objective is to examine the performance of Akaike's information criterion (AIC) for selecting a suitable distribution among candidate models via simulations. These methods are illustrated through the electric power transformer dataset.
Wearable-based evaluation of human-robot interactions in robot path-planning

In robotics, many path-planning algorithms have been proposed but almost all are evaluated only by their path lengths in PC. However, the evaluation is completely independent of a human ability. Recently, a human intends to live with many robots. For this reason, we should experimentally evaluate many kinds of interactions between a human and robots in our living space, which are supervised by each path-planning algorithm. Unfortunately, it is impossible, expensive and dangerous for us to investigate such interactions in a real world. To overcome such drawbacks, we propose wearable-based system to evaluate a path-planning algorithm by a human being. A human avoids some neighbors of virtual robots by using two eyes (using his visual property) and two legs (using his movable ability). In our wearable system, we can quickly develop smart robots and sensors without considering many irrational technical limitations. Therefore, we can test a novel sensor-based path-planning algorithm in the virtual environment. Using this, their superiorities are checked by visual and movable abilities of a human being.
Novelty And Surprises In Complex Adaptive System (CAS) Dynamics: A Computational Theory of Actor Innovation

The work of John von Neumann in the 1940's on self-reproducing machines as models for biological systems and self-organized complexity provides the computational legacy for CAS. Following this, the major hypothesis emanating from Wolfram (1984), Langton (1992, 1994), Kaufmann (1993) and Casti (1994) is that the sine qua non of complex adaptive systems is their capacity to produce novelty or 'surprises' and the so called Type IV innovation based structure changing dynamics of the Wolfram-Chomsky schema. The Wolfram-Chomsky schema postulates that on varying the computational capabilities of agents, different system wide dynamics can be generated: finite automata produce Type I dynamics with unique limit points or homogeneity; push down automata produce Type II dynamics with limit cycles; linear bounded automata generate Type III chaotic trajectories with strange attractors. The significance of this schema is that it postulates that only agents with the full powers of Turing Machines capable of simulating other Turing Machines, which Wolfram calls computational universality can produce Type IV irregular innovation based structure changing dynamics associated with the three main natural exponents of CAS, evolutionary biology, immunology and capitalist growth. Langton (1990,1992) identifies the above complexity classes for dynamical systems with the halting problem of Turing machines and famously calls the phase transition or the domain on which novel objects emerge as 'life at the edge of chaos'. This paper develops the formal foundations for the emergence of novelty or innovation. Remarkably, following Binmore(1987) who first introduced to game theory the requisite dose of mechanism with players modelled as Turing Machines with the GA¶del (1931) logic involving the Liar or the pure logic of opposition, we will see that only agents qua universal Turing Machines which can make self-referential calculation of hostile objectives can bring about adaptive novelty or strategic innovation.
Different but the Same: Mental Representations of Negated Similes

ABSTRACT When people comprehend language, they mentally represent object shape. Previous research has shown that objects that are mentioned in a simile construction (X is like Y) are represented as similarly shaped. The present study examined object shape in mental representations of negated similes (X is NOT like Y). In our experiment participants read negated similes or control sentences without a comparison structure. After having read the sentence, they judged whether two presented objects, which were either similarly or dissimilarly shaped, were previously mentioned. Our findings showed that for the negated similes, verification latencies were shorter for similarly shaped than for dissimilarly shaped objects. This shows that the expected situation (without the negation marker), rather than the actual situation is represented. For the control sentences, we did not find such an effect of similarity in shape. We discuss our findings in the light of processing theories of negation and comparison.
Toll-Like Receptor 4 Mutant and Null Mice Retain Morphine-Induced Tolerance, Hyperalgesia, and Physical Dependence

The innate immune system modulates opioid-induced effects within the central nervous system and one target that has received considerable attention is the toll-like receptor 4 (TLR4). Here, we examined the contribution of TLR4 in the development of morphine tolerance, hyperalgesia, and physical dependence in two inbred mouse strains: C3H/HeJ mice which have a dominant negative point mutation in the Tlr4 gene rendering the receptor non-functional, and B10ScNJ mice which are TLR4 null mutants. We found that neither acute antinociceptive response to a single dose of morphine, nor the development of analgesic tolerance to repeated morphine treatment, was affected by TLR4 genotype. Likewise, opioid induced hyperalgesia and opioid physical dependence (assessed by naloxone precipitated withdrawal) were not altered in TLR4 mutant or null mice. We also examined the behavioural consequence of two stereoisomers of naloxone: (−) naloxone, an opioid receptor antagonist, and (+) naloxone, a purported antagonist of TLR4. Both stereoisomers of naloxone suppressed opioid induced hyperalgesia in wild-type control, TLR4 mutant, and TLR4 null mice. Collectively, our data suggest that TLR4 is not required for opioid-induced analgesic tolerance, hyperalgesia, or physical dependence.
A Framework: Secure Data Aggregation inWireless Sensor Networks

Wireless Sensor Networks (WSNs) are used in many applications in the area of tracking and monitoring. WSNs have many constraints like low computational power, small memory, and limited energy resources. Most of the energy consumption is due to data transmission. For that we apply Data aggregation approach on the sensed data by the deployed sensor nodes. This approach helps to reduce the number of transmissions and improves the life time of wireless sensor network with less energy usage of sensor nodes and also to protect Data Aggregation process from various kinds of attacks becomes extremely critical. So we give some general framework for Secure Data Aggregation.
Parametric logarithmic type image processing for contrast based auto-focus in extreme lighting conditions

Abstract While most of state-of-the-art image processing techniques were built under the so-called classical linear image processing, an alternative that presents superior behavior for specific applications comes in the form of Logarithmic Type Image Processing (LTIP). This refers to mathematical models constructed for the representation and processing of gray tones images. In this paper we describe a general mathematical framework that allows extensions of these models by various means while preserving their mathematical properties. We propose a parametric extension of LTIP models and discuss its similarities with the human visual system. The usability of the proposed extension model is verified for an application of contrast based auto-focus in extreme lighting conditions. The closing property of the named models facilitates superior behavior when compared with state-of-the-art methods.
Viral Agents Causing Acute Respiratory Infections in Children under Five: A Study from Eastern India

Background. Acute respiratory infections (ARIs) are important cause of mortality and morbidity in children under five in developing country. Methods. This observational study was conducted over two-year period in a tertiary care teaching hospital of Eastern India. Nasal and throat swabs were collected, transported to the laboratory at 2–8°C in viral transport media, and then processed for detection of viruses using mono/multiplex real-time polymerase chain reaction. Results. A total of 300 children aged 2–60 months with ARIs were included. The most common age group affected with LRI was 2–12 mo and with URI was >12–60 mo. Viruses were detected in 248 cases. In URI, 77 were positive for single virus and 19 were positive for more than one virus; in LRI, 113 were positive for single virus and 12 were positive for more than one virus. The most common viruses isolated from URI cases were rhinovirus and adenovirus. The most common viruses isolated from LRI cases were respiratory syncytial virus and influenza virus. Most cases occurred in the months of January, December, and August. Conclusion. Viruses constitute a significant cause of ARI in children under five. RSV, ADV, RV, and IFV were the most prevalent viruses isolated.
Scalable Link-based Personalization for Ranking in Entity-Relationship Graphs

Authority flow techniques like PageRank and ObjectRank can provide personalized ranking of typed entity-relationship graphs. There are two main ways to personalize authority flow ranking: Nodebased personalization, where authority originates from a set of userspecific nodes; Edge-based personalization, where the importance of different edge types is user-specific. We propose for the first time an approach to achieve efficient edge-based personization using a combination of precomputation and runtime algorithms. In particular, we apply our method to the personalized authority flow bounds of ObjectRank, i.e., a weight assignment vector (WAV) assigns different weights to each edge type or relationship type. Our approach includes a repository of rankings for various WAVs. We consider the following two classes of approximation: (a) SchemaApprox is formulated as a distance minimization problem at the schema level; (b) DataApprox is a distance minimization problem at the data graph level. SchemaApprox is not robust since it does not distinguish between important and trivial edge types based on the edge distribution in the data graph. Both SchemaApprox and DataApprox are expensive so we develop efficient heuristic implementations. ScaleRank is an efficient linear programming solution to DataApprox. PickOne is a greedy heuristic for SchemaApprox. Extensive experiments on the DBLP data graph show that ScaleRank provides a fast and accurate personalized authority flow ranking.
COMPARING TRADITIONAL AND AGILE DEVELOPMENT APPROACHES: THE CASE OF EXTREME PROGRAMMING

Some adherents of agile development feel their approach goes against the predominant tenets of existing traditional approaches to software development, and thus can invoke fear and anxiety in practitioners. One way to understand if and how agile methods differ from existing approaches is to explore one agile approach in depth and, if possible, its philosophical underpinnings to see in what way it presents a new and different view of the software development process. This paper works to understand some of the philosophical underpinnings of Extreme Programming (XP), an agile software development approach. The study uses a qualitative data analysis approach to address the following research questions: 1) what philosophy underlies XP, and 2) does XP's philosophy differ from the dominant software development paradigm? The paper finds that Extreme Programming reflects many pragmatic philosophical viewpoints and that many of its tenets conflict with the rationalistic approach that underlies traditional software development discourse.