Miracle-dz/UniFAR-FTUs huggingface dataset:
Target Surveillance in Adversarial Environments Using POMDPs

This paper introduces an extension of the target surveillance problem in which the surveillance agent is exposed to an adversarial ballistic threat. The problem is formulated as a mixed observability Markov decision process (MOMDP), which is a factored variant of the partially observable Markov decision process, to account for state and dynamic uncertainties. The control policy resulting from solving the MOMDP aims to optimize the frequency of target observations and minimize exposure to the ballistic threat. The adversary’s behavior is modeled with a level-k policy, which is used to construct the state transition of the MOMDP. The approach is empirically evaluated against a MOMDP adversary and against a human opponent in a target surveillance computer game. The empirical results demonstrate that, on average, level 3 MOMDP policies outperform lower level reasoning policies as well as human players.
Mouse ghrelin‐O‐acyltransferase (GOAT) plays a critical role in bile acid reabsorption

Ghrelin is a unique peptide gut hormone that requires post‐translational modification to stimulate both feeding and growth hormone release. Ghrelin O‐acyltransferase (GOAT) was identified as a specific acyl‐transferase for ghrelin, and recent genetic deletion studies of the Goat gene (Goat−/−) uncovered the role of ghrelin in the regulation of glucose homeostasis. To further understand the physiological functions of the GOAT/ghrelin system, we have conducted a metabolomic and microarray profile of Goat‐null mice, as well as determined Goat expression in different tissues using the lacZ reporter gene. Serum metabolite profile analysis revealed that Goat−/− mice exhibited increased secondary bile acids >2.5‐fold. This was attributed to increased mRNA and protein expression of the ileal sodium‐dependent bile acid transporter (ISBT) in the intestinal and biliary tract. Increased expression of additional solute carrier proteins, including Slc5a12 (>10‐fold) were also detected in the small intestine and bile duct. Goat staining was consistently observed in the pituitary glands, stomach, and intestines, and to a lesser extent in the gallbladder and pancreatic duct. This is the first report that the GOAT/ghrelin system regulates bile acid metabolism, and these findings suggest a novel function of GOAT in the regulation of intestinal bile acid reabsorption. —Kang, K. , Schmahl, J., Lee, J. ‐M. , Garcia, K. , Patil, K. , Chen, A. , Keene, M. , Murphy, A. , Sleeman, M. W. Mouse ghrelin‐O‐acyltransferase (GOAT) plays a critical role in bile acid reabsorption. FASEB J. 26, 259–271 (2012). www.fasebj. org
Serological markers for prediction of response to anti-tumor necrosis factor treatment in Crohn's disease

OBJECTIVES:The use of monoclonal anti-tumor necrosis factor (TNF) antibodies (infliximab, Remicade) is a new therapeutic approach for severe refractory luminal or fistulizing, Crohn's disease (CD). However, up to 30% of patients do not respond to this treatment. So far, no parameters predictive of response to anti-TNF have been identified. Our aim was to determine whether serological markers ASCA (anti-Saccharomyces cerevisiae antibodies) or pANCA (perinuclear antineutrophil cytoplasmic antibodies) could identify Crohn's patients likely to benefit from anti-TNF therapy.METHODS:Serum samples of 279 CD patients were analyzed for ASCA and pANCA before anti-TNF therapy. A blinded physician determined clinical response at week 4 (refractory luminal CD) or week 10 (fistulizing CD) after the first infusion of infliximab (5 mg/kg). RESULTS:Overall, there was no relationship between ASCA or pANCA and response to therapy. However, lower response rates were observed for patients with refractory intestinal disease carrying the pANCA+/ASCA− combination, although this lacked significance (p = 0.067). CONCLUSIONS:In this cohort of infliximab-treated patients, neither ASCA nor pANCA could predict response to treatment. However, the combination pANCA+/ASCA− might warrant further investigation for its value in predicting nonresponse in patients with refractory luminal disease.
Kinetic Equations

Mit Hilfe informationstheoretischer Argumente wird der Anfangszustand zur Zeit t0 bei der Ableitung kinetischer Gleichungen eliminiert, indem man ihn auf Grund der JAYNESschen Methode aus der vorausgesetzten Kenntnis des Zustandes zur Zeit t bestimmt. Damit kann eine abgeschlossene allgemeine Bewegungsgleichung der Form iñ1,t= Tni, t erhalten werden.
USTB at INEX2014: Social Book Search Track

In this paper, we describe our participation in the INEX 2014 Social Book Search(SBS) Track Suggestion Task. We investigate the contribution of user-generated data and construct a social book search system based on several important techniques. We perform re-ranking on Galago searching results on enriched XML index by 11 dierent s- trategies and combine the results with learning to rank. We nd that 1) enriched index improves the eectiveness, 2) tag is the best-performed social feature on re-ranking and 3) Random Forest shows the best per- formance on combining in this case.
Production of active film based on potato starch containing Zedo gum and essential oil of Salvia officinalis and study of physical, mechanical, and antioxidant properties

In this study, biodegradable/antioxidant active film based on potato starch was provided. Composite films of potato starch/Zedo gum/Salvia officinalis essential oil were provided in different percents of Zedo gum (0.5–1.5%) and S. officinalis essential oil (0–500 µl). The characters of composite film, including physical, mechanical, and antioxidant properties were studied. The results showed that adding different amounts of Zedo gum and essential oil to starch film causes a significant decrease (p < 0.05) in moisture content, solubility, and film water vapor permeability (WVP). The film containing 1.5% gum and 500 µl of essential oil had minimum moisture content, solubility, and WVP. Results showed that the addition of Zedo gum significantly increased the thickness and opacity of the films and reduced the transparency of the films. Increasing the essential oil is significant on the film opacity and leads to a decrease in the passage of light from the films. By adding different amounts of gum, the antioxidant content of the films was significantly increased compared to the control film (pure starch film). Also, increasing the concentration of essential oil in the film composition caused a significant increase in the antioxidant activity of the films (p < 0.05). Modified starch films containing 1.5% gum (without essential oil) with 62.64% antioxidant activity and film with 1.5% gum and 500 µl essential oils with 68.35% antioxidant activity had the highest antioxidant activity. The addition of salvia essential oil and Zedo gum significantly decreased the elongation and tensile strength of the potato starch film (p < 0.05). Finally, the potato starch composite film containing Zedo gum and salvia essential oil showed excellent physical and antioxidant properties and had an excellent ability to be used in the food packaging industry.
Dynamic similarity: a processing perspective on similarity

Traditionally, the computation of similarity has been treated as a process acting over parts of static representations (e.g., Tversky's contrast model). In this paper, we argue for a more processing-oriented perspective, which maintains that "the whole processing context -past, present, and maybe even prospective -can contribute to the perceived similarity of things". This perspective leads one to a variety of hypotheses, which are not normally considered, from a static perspective. Three instances of this sort of hypothesis are outlined. First, in the area of people's judgements of the similarity of event descriptions. Second, in the judgement of the similarity of perceptual patterns that have previously been manipulated in a swapping task. Third, in considering the how the future adaptability of a problem can influence the assessment of a precedent in case-based reasoning. Address for Correspondence & Reprints: Prof. Mark Keane, Department of Computer Science, University College Dublin, NUI Dublin, Belfield, Dublin 4, Ireland [ mark.keane@ucd.ie, www.cs. ucd.ie, +353-1-7062470] Keane et. al. 2 Dynamic Similarity
RACK: RApid clustering using K-means algorithm

The k-means algorithm is an extremely popular technique for clustering data. One of the major limitations of the k-means is that the time to cluster a given dataset D is linear in the number of clusters, k. In this paper, we employ height balanced trees to address this issue. Specifically, we make two major contributions, (a) we propose an algorithm, RACK (acronym for RApid Clustering using k-means), which takes time favorably comparable with the fastest known existing techniques, and (b) we prove an expected bound on the quality of clustering achieved using RACK. Our experimental results on large datasets strongly suggest that RACK is competitive with the k-means algorithm in terms of quality of clustering, while taking significantly less time.
Genomic Investigation of Balanced Chromosomal Rearrangements in Patients with Abnormal Phenotypes

Balanced chromosomal rearrangements (BCR) are associated with abnormal phenotypes in approximately 6% of balanced translocations and 9.4% of balanced inversions. Abnormal phenotypes can be caused by disruption of genes at the breakpoints, deletions, or positional effects. Conventional cytogenetic techniques have a limited resolution and do not enable a thorough genetic investigation. Molecular techniques applied to BCR carriers can contribute to the characterization of this type of chromosomal rearrangement and to the phenotype-genotype correlation. Fifteen individuals among 35 with abnormal phenotypes and BCR were selected for further investigation by molecular techniques. Chromosomal rearrangements involved 11 reciprocal translocations, 3 inversions, and 1 balanced insertion. Array genomic hybridization (AGH) was performed and genomic imbalances were detected in 20% of the cases, 1 at a rearrangement breakpoint and 2 further breakpoints in other chromosomes. Alterations were further confirmed by FISH and associated with the phenotype of the carriers. In the analyzed cases not showing genomic imbalances by AGH, next-generation sequencing (NGS), using whole genome libraries, prepared following the Illumina TruSeq DNA PCR-Free protocol (Illumina®) and then sequenced on an Illumina HiSEQ 2000 as 150-bp paired-end reads, was done. The NGS results suggested breakpoints in 7 cases that were similar or near those estimated by karyotyping. The genes overlapping 6 breakpoint regions were analyzed. Follow-up of BCR carriers would improve the knowledge about these chromosomal rearrangements and their consequences.
Unsupervised Learning from Linked Documents

Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the unsupervised learning, the link information is either totally ignored or treated as a feature similar to content. We believe that neither approach is capable of accurately capturing the relations represented by links. To address the limitation of traditional topic models, in this paper we propose a citation-topic (CT) model that explicitly considers the document relations represented by links. In the CT model, instead of being treated as yet another feature, links are used to form the structure of the generative model. As a result, in the CT model a given document is modeled as a mixture of a set of topic distributions, each of which is borrowed (cited) from a document that is related to the given document. We apply the CT model to several document collections and the experimental comparisons against state-of-the-art approaches demonstrate very promising performances.
Video Coding With Low-Complexity Directional Adaptive Interpolation Filters

A novel adaptive interpolation filter structure for video coding with motion-compensated prediction is presented in this letter. The proposed scheme uses an independent directional adaptive interpolation filter for each sub-pixel location. The Wiener interpolation filter coefficients are computed analytically for each inter-coded frame at the encoder side and transmitted to the decoder. Experimental results show that the proposed method achieves up to 1.1 dB coding gain and a 15% average bit-rate reduction for high-resolution video materials compared to the standard nonadaptive interpolation scheme of H.264/AVC, while requiring 36% fewer arithmetic operations for interpolation. The proposed interpolation can be implemented in exactly 16-bit arithmetic, thus it can have important use-cases in mobile multimedia environments where the computational resources are severely constrained.
Prediction of Software Maintenance Effort of Object Oriented Metrics Based Commercial Systems

The software systems really advanced and seize with problems on their maintenance. The software maintenance work is presently one in every one of the foremost tough, time-consuming, expensive and costly tasks in the software development life cycle. It’s invariably been a vital issue for software project developers. Therefore, it is worthwhile to develop an object oriented system with easy maintenance at design phases. This analysis concentrates the development of a method based on the data mining techniques as K-means and Hierarchical clustering are implemented in MATLAB package on two commercial systems are UIMS (User Interface Management System) QUES (Quality Evaluation System). The maintenance effort is measured by the number of lines changed (addition or a deletion) per class which are already pre defined classes of UIMS and QUES. It is ascertained that the algorithms will be able to decide the cluster with Easy, Medium, and High conditions of maintainable classes of similarity based on object oriented metrics. This paper is most beneficial for the software maker and maintainers to take the necessary steps at design level to design of maintainable object oriented software. KeywordsSoftware Metrics; Clustering; K-mean clustering algorithm; Hierarchical clustering African Journal of Computing & ICT Reference Format: V.K. Yadav, S. Kumar & M. Mittal. (2015 Prediction of Software Maintenance Effort of Object Oriented Metrics Based Commercial Systems. Afr J. of Comp & ICTs. Vol 8, No. 1. Pp 163-. 172.
A Survey of Advanced Marine Communication and Navigation Technologies: Developments and Strategies

Marine communication and navigation technologies go hand-in-hand in order to provide a safe and secure marine travel on those who are on board a vessel or a ship. These tools are used together to establish rapport between sea ports and nearby vessels, as well as determining a sea or ocean’s characteristics and weather patterns. Unmanned Surface Vehicle (USV) for maritime salvage is designed to mitigate the menaces associated with marine navigation. The technique involves intelligent navigation and communication, intelligent collision avoidance and intelligent rheostat systems. This paper seeks to explore the technological advancements in marine communication and navigation used in the maritime environment, with veneration to both hardware and software. This review would invariable serve as a source of information pool for further studies. We also present some current technological challenges the marine industry is antagonized with.
Bacterial Diversity Dynamics Associated with Different Diets and Different Primer Pairs in the Rumen of Kankrej Cattle

The ruminal microbiome in herbivores plays a dominant role in the digestion of lignocellulose and has potential to improve animal productivity. Kankrej cattle, a popular native breed of the Indian subcontinent, were used to investigate the effect of different dietary treatments on the bacterial diversity in ruminal fractions using different primer pairs. Two groups of four cows were assigned to two primary diets of either dry or green forages. Each group was fed one of three dietary treatments for six weeks each. Dietary treatments were; K1 (50% dry/green roughage: 50% concentrate), K2 (75% dry/green roughage: 25% concentrate) and K3 (100% dry/green roughage). Rumen samples were collected using stomach tube at the end of each dietary period and separated into solid and liquid fractions. The DNA was extracted and amplified for V1–V3, V4–V5 and V6–V8 hypervariable regions using P1, P2 and P3 primer pairs, sequenced on a 454 Roche platform and analyzed using QIIME. Community compositions and the abundance of most bacterial lineages were driven by interactions between primer pair, dietary treatment and fraction. The most abundant bacterial phyla identified were Bacteroidetes and Firmicutes however, the abundance of these phyla varied between different primer pairs; in each primer pair the abundance was dependent on the dietary treatment and fraction. The abundance of Bacteroidetes in cattle receiving K1 treatment indicate their diverse functional capabilities in the digestion of both carbohydrate and protein while the predominance of Firmicutes in the K2 and K3 treatments signifies their metabolic role in fibre digestion. It is apparent that both liquid and solid fractions had distinct bacterial community patterns (P<0.001) congruent to changes in the dietary treatments. It can be concluded that the P1 primer pair flanking the V1–V3 hyper-variable region provided greater species richness and diversity of bacterial populations in the rumen of Kankrej cattle.
Correlation between ICAM1 and VCAM1 gene polymorphisms and histopathological changes in kidney allograft biopsies

Introduction The immunoglobulin-like molecules intercellular adhesion molecule-1 (ICAM-1) and vascular adhesion molecule-1 (VCAM-1) are responsible for endothelial cell-leukocyte adhesion followed by transmigration of leukocytes through the endothelial cell lining. The aim of this study was to examine the correlation between polymorphisms in ICAM1 and VCAM1 genes and histopathological changes in transplanted kidney biopsies. Material and methods The study enrolled 82 Caucasian renal transplant recipients (48 males, 34 females). Genotyping of the rs5498 ICAM1 and the rs1041163 and rs3170794 VCAM1 gene polymorphisms was performed using real-time polymerase chain reaction (PCR). Biopsies were performed in 82 patients and were reviewed by a renal pathologist and the Banff working classification criteria were used. Results There were no significant associations between VCAM gene polymorphisms and histopathological changes in kidney allograft biopsies. ICAM1 gene polymorphism was associated with the grade of interstitial fibrosis. Interstitial fibrosis was more severe among individuals with the G allele than those with the A allele (AA vs. GG+AG, p = 0.017). There were no statistically significant associations between ICAM1 gene polymorphism and other histopathological changes in kidney allograft biopsies. Conclusions The results of our study suggest that rs5498 ICAM1 gene polymorphism is associated with the grade of interstitial fibrosis in kidney recipients and the changes are more severe in patients with the G allele.
New crossroads for potential therapeutic intervention in cancer - intersections between CDCP1, EGFR family members and downstream signaling pathways

Signaling pathways regulated by the receptor CDCP1 play central roles in promoting cancer and in mediating resistance to chemo- and targeted-therapies. In this perspective we briefly summarize these findings as well as data demonstrating poorer outcomes for several malignancies that exhibit elevated CDCP1 expression. Promising data from preclinical studies suggest that CDCP1 targeted agents, including therapeutic antibodies, could be useful in the treatment of cancer patients selected on the basis of activation of CDCP1 and its signaling partners including EGFR, HER2, Met and Src.
Fast torque control of wound field synchronous machines for start-stop systems

This paper presents fast torque control of wound field synchronous machines (WFSMs) at start up via single step optimization. Transient torque response of WFSMs is affected by both of armature current and field current. Since dynamic responses (or time constant) of armature and field current are different due to winding turn ratio between armature and field, optimization of fast transient torque response of WFSMs is not simple. In certain circumstance, such as start-up operation, fast torque response is required. In this paper, a single-step optimization method is proposed to achieve simple real time implementation and fast and stable transient dynamics of WFSM drives. Simulation results for the single- step optimization method for WFSM drive are presented.
Scheduling of mixed-criticality applications on resource-sharing multicore systems

A common trend in real-time safety-critical embedded systems is to integrate multiple applications on a single platform. Such systems are known as mixed-criticality (MC) systems as the applications are usually characterized by different criticality levels (CLs). Nowadays, multicore platforms are promoted due to cost and performance benefits. However, certification of multicore MC systems is challenging because concurrently executed applications with different CLs may block each other when accessing shared platform resources. Most of the existing research on multicore MC scheduling ignores the effects of resource sharing on the execution times of applications. This paper proposes a MC scheduling strategy which explicitly accounts for these effects. Applications are executed by a flexible time-triggered criticality-monotonic scheduling scheme. Schedulers on different cores are dynamically synchronized such that only a statically known subset of applications of the same CL can interfere on shared resources, e. g. ,memories, buses. Therefore, the timing effects of resource sharing are bounded and we quantify them at design time. We combine this scheduling strategy with a mapping optimization technique for achieving better resource utilization. The efficiency of the approach is demonstrated through extensive simulations as well as comparisons with traditional temporal partitioning and state-of-the-art scheduling algorithms. It is also validated on a real-world avionics system.
Physical design aware system level synthesis of hardware

In spite of decades of research, only a small percentage of hardware is designed using high-level synthesis because of the large gap between the abstraction levels of standard cells and algorithmic level. We propose a grid-based regular physical design platform composed of large grain hardened building blocks called SiLago blocks. This platform is divided into regions which are specialized for different functionalities like computation, storage, system control, etc. The characterized micro-architectural operations of the SiLago platform serve as the interface to meet-in-the-middle high-level and system-level syntheses framework. This framework was used to generate three hardware macro instances, derived from SiLago platform for three applications from signal processing domain. Results show two orders of magnitude improvements in efficiency of the system-level design space exploration and synthesis time, with average loss in design quality of 18% for energy and 54% for area compared to the commercial SOC flow.