Miracle-dz/UniFAR-FTUs huggingface dataset:
SemDAV: A File Exchange Protocol for the Semantic Desktop

The traditional file system is an integral part of how users interact with their desktop computers: To a great extent, user content (e.g. business documents, holiday pictures, project plans, etc.) is stored in a more or less unstructured manner. In the file system, this content is organized only using hierarchical directories and file names, which lack advanced expressivity in comparison to ontology-based classification schemes. As a result, traditional file systems do not provide sufficient means for organizing and annotating such content, especially when multiple users access the same file inventory. In this position paper, we introduce the SemDAV project1, in which we aim to research technologies that are able to semantically enrich storage of such unstructured content. We give an outline of the SemDAV project, explain the motivation behind it, and discuss how SemDAV can contribute to the Semantic Desktop movement.
Southern ( SAIS ) 5-18-2013 A REALIST EXAMINATION OF BUSINESS ANALYTICS

Business analytics has become the latest fad in management practice. Carried out by largely positivist statistical analysis, anecdotal evidence claims great success for these practices. This paper takes a critical realist approach to a philosophical analysis of these practices. Reviewing CR ontology and epistemology, it applies those to the practice of business analytics, showing that where BA success occurs it is because the analysis has encountered relatively unimpeded actions by relatively enduring structures of causal mechanisms. It may fail in those areas undergoing rapid structural change, or where there exists a confusing welter of mechanisms. The danger in this approach from a CR perspective is that other causal mechanisms may intrude, or the structure of the mechanisms may change causing the models built to fail. This paper argues that the practice of BA may be improved by performing retroductive analysis to identify these structures so that anticipatory action can be taken to avoid failure of the models.
Decomposition Optimization Algorithms for Distributed Radar Systems

Distributed radar systems are capable of enhancing the detection performance by using multiple widely spaced distributed antennas. With prior statistic information of targets, resource allocation is of critical importance for further improving the system's achievable performance. In this paper, the total transmitted power is minimized at a given mean-square target-estimation error. We derive two iterative decomposition algorithms for solving this nonconvex constrained optimization problem, namely, the optimality condition decomposition (OCD)-based and the alternating direction method of multipliers (ADMM)-based algorithms. Both the convergence performance and the computational complexity of our algorithms are analyzed theoretically, which are then confirmed by our simulation results. The OCD method imposes a much lower computational burden per iteration, while the ADMM method exhibits a higher per-iteration complexity, but as a benefit of its significantly faster convergence speed, it requires less iterations. Therefore, the ADMM imposes a lower total complexity than the OCD. The results also show that both of our schemes outperform the state-of-the-art benchmark scheme for the multiple-target case, in terms of the total power allocated, at the cost of some degradation in localization accuracy. For the single-target case, all the three algorithms achieve similar performance. Our ADMM algorithm has similar total computational complexity per iteration and convergence speed to those of the benchmark.
Clipping noise mitigation for OFDM by decision-aided reconstruction

Clipping is often used to reduce the large peak-to-mean envelope power ratio of orthogonal frequency-division multiplexing (OFDM) signals. However, it introduces additional noise that degrades the system performance. A technique called decision-aided reconstruction (DAR) is proposed for mitigating the clipping noise. The performance of the proposed technique is evaluated for additive white Gaussian noise and static intersymbol interference channels. The effect of using a realistic channel estimate is also examined. Results show that the DAR technique can mitigate the clipping noise significantly for OFDM systems that have large block sizes.
A miniaturized rectangular microstrip patch antenna using SSRR for WLAN applications

This paper presents a simple rectangular microstrip patch antenna that has a resonant frequency of 5.2 GHz (WLAN) which is then miniaturized to the resonant frequency of 2.44 GHz (WLAN). The size reduction is carried out by inserting a square slot in the center of the rectangular patch and using Defected Ground Structure (DGS). Finally, a Square Split Ring Resonator (SSRR) is inserted in the slot to increase the gain, reflection coefficient and for impedance matching.
Nutrient-Rich Microhabitats within Biofilms Are Synchronized with the External Environment

The nutrient ion concentrations in the interstitial waters of biofilms (BFs) formed on reed and stone surfaces were investigated in the northern and southern basins of Lake Biwa over several years. The following were observed for both types of BF: 1) Concentrations of ammonium, nitrate, nitrite, and phosphate ions were much (hundreds to thousands of times) higher in the BFs than in the surrounding lake water; 2) the concentration of ions, especially nitrate ions, in the BFs changed seasonally, being higher from winter to spring and lower from summer to autumn, synchronizing with the changes in the lake water; 3) dissolved-form N:P ratios were higher in the lake water than BFs; and 4) the bacterial flora of the BFs differed from that of the lake water, with smaller seasonal variations. The present study reveals for the first time that the inside of BFs in a natural environment is rich in nutrient ions and shows similar seasonal changes as the lake water. The BFs in an aquatic environment provide a microenvironment capable of sustaining a specific bacterial flora different from that in the surrounding lake water.
A Review of Environmental Interpretation Research in the West in the Past Decade

Playing a vital role in sustainable tourism, environmental interpretation is an effective tool for visitor management and tourism resource protection. The present study selected some famous academic journals in the field of tourism and reviewed the studies of environmental interpretation research. Findings indicated that in the past decade, environmental interpretation research mainly focused on characteristics of effective personal interpretation and interpretive programs as well as interpretation outcomes. Most studies adopted quantitative methods and data were collected via questionnaire surveys and interviews. Countries like America, Australia, Canada, New Zealand etc. attached importance to interpretation research and the settings involved in the research were mainly national parks, outdoor recreation and entertainment settings, wild life reserves and nature-based settings etc. It was found that interpretation studies gradually shift to visitors' affective outcomes. The author of this study holds that future interpretation research should base empirical studies on appropriate theories and scientific measurement tools. In addition, interpretation at cultural heritage settings should be taken into consideration. Keywords—environmental interpretation; interpretation outcome; interpretive program; knowledge gain; behavioral intention
Aggregates That Promotes Their Attachment to Protein-covered ' ' Cap ' ' on Their Surface-Granule α Procoagulant Platelets Form an Cell Biology :

10.1074/jbc.M113.474163 Access the most updated version of this article at doi: . JBC Affinity Sites Find articles, minireviews, Reflections and Classics on similar topics on the Alerts: When a correction for this article is posted • When this article is cited • to choose from all of JBC's e-mail alerts Click here Supplemental material: http://www.jbc. org/content/suppl/2013/08/30/M113.474163. DC1.html
Anthropoid versus strepsirhine status of the African Eocene primates Algeripithecus and Azibius: craniodental evidence

Recent fossil discoveries have demonstrated that Africa and Asia were epicentres for the origin and/or early diversification of the major living primate lineages, including both anthropoids (monkeys, apes and humans) and crown strepsirhine primates (lemurs, lorises and galagos). Competing hypotheses favouring either an African or Asian origin for anthropoids rank among the most hotly contested issues in paleoprimatology. The Afrocentric model for anthropoid origins rests heavily on the >45 Myr old fossil Algeripithecus minutus from Algeria, which is widely acknowledged to be one of the oldest known anthropoids. However, the phylogenetic position of Algeripithecus with respect to other primates has been tenuous because of the highly fragmentary fossils that have documented this primate until now. Recently recovered and more nearly complete fossils of Algeripithecus and contemporaneous relatives reveal that they are not anthropoids. New data support the idea that Algeripithecus and its sister genus Azibius are the earliest offshoots of an Afro–Arabian strepsirhine clade that embraces extant toothcombed primates and their fossil relatives. Azibius exhibits anatomical evidence for nocturnality. Algeripithecus has a long, thin and forwardly inclined lower canine alveolus, a feature that is entirely compatible with the long and procumbent lower canine included in the toothcomb of crown strepsirhines. These results strengthen an ancient African origin for crown strepsirhines and, in turn, strongly challenge the role of Africa as the ancestral homeland for anthropoids.
Allergenicity Assessment of a Genetically Modified Protein-Recombinant Human Lactoferrin

Background: Recombinant human lactoferrin (rhLF) has previously suggested serving as food additive due to the natural iron binding properties that provide anti-microbial activity. Recombinant cows have been produced that express hLf in milk. However, the potential allergenicity of hLf has not been previously assessed. This research is conducted to evaluate the potential allergenicity of rhLF as a prerequisite for food use. Methods: A comparison was made of the bioactivity, physicochemical properties and glycosylation profile between rhLF and natural hLF. The amino acid sequence of hLf was compared to known allergens. Additionally, the stability of hLf in pepsin and a human serum IgE test was conducted. Results: The amino acid identity between rhLF and the minor allergen bovine lactoferrin was 71.4%. However, every human is exposed to hLf constantly without demonstrated allergies. The rhLF was digested rapidly by pepsin and was not specifically bound by IgE using serum from patients who are allergic to egg and milk. Conclusion: Based on these results, the potential allergenicity of rhLF as produced in bovine milk is quite low. It may be added into formula powder or food to improve nutrition composition.
Generative Malware Outbreak Detection

Recently several deep learning approaches have been attempted to detect malware binaries using convolutional neural networks and stacked deep autoencoders. Although they have shown respectable performance on a large corpus of dataset, practical defense systems require precise detection during the malware outbreaks where only a handful of samples are available. This paper demonstrates the effectiveness of the latent representations obtained through the adversarial autoencoder for malware outbreak detection. Using instruction sequence distribution mapped to a semantic latent vector, the model provides a highly effective neural signature that helps detecting variants of a previously identified malware within a campaign mutated with minor functional upgrade, function shuffling, or slightly modified obfuscations. The method demonstrates how adversarial autoencoder can turn a multiclass classification task into a clustering problem when the sample set size is limited and the distribution is biased. The model performance is evaluated on OS X malware dataset against traditional machine learning models.
Sublinear Algorithms for Optimization and Machine Learning

2 Preliminaries and the Perceptron 2 2.1 The Linear Classification Problem . 2 2.2 Algorithm: Sublinear Perceptron . 3 2.3 Technical Lemmas . 3 2.4 Main Theorem . 8
Report n Promotes the Evolution of Cooperation in an Experimental Prisoner ’ s Dilemma

Cooperation is ubiquitous in nature, but explaining its existence remains a central interdisciplinary challenge [1–3]. Cooperation is most difficult to explain in the Prisoner’s Dilemma game, where cooperators always lose in direct competition with defectors despite increasing mean fitness [1, 4, 5]. Here we demonstrate how spatial population expansion, a widespread natural phenomenon [6–11], promotes the evolution of cooperation. We engineer an experimental Prisoner’s Dilemma game in the budding yeast Saccharomyces cerevisiae to show that, despite losing to defectors in nonexpanding conditions, cooperators increase in frequency in spatially expanding populations. Fluorescently labeled colonies show genetic demixing [8] of cooperators and defectors, followed by increase in cooperator frequency as cooperator sectors overtake neighboring defector sectors. Together with lattice-based spatial simulations, our results suggest that spatial population expansion drives the evolution of cooperation by (1) increasing positive genetic assortment at population frontiers and (2) selecting for phenotypes maximizing local deme productivity. Spatial expansion thus creates a selective force whereby cooperator-enriched demes overtake neighboring defector-enriched demes in a ‘‘survival of the fastest. ’’ We conclude that colony growth alone can promote cooperation and prevent defection in microbes. Our results extend to other species with spatially restricted dispersal undergoing range expansion, including pathogens, invasive species, and humans.
Topographic map model feature recognition

This project is a part of the research project proposed by Ordnance Survey in order to develop a system that recognizes topographic objects from the imagery. An ultimate goal would be to extract the topographic objects from the imagery, vectorise those objects and store them in the database – all in a fully automated manner. Due to the complexity of aerial imagery, it is going to be some time before this goal is likely to be achieved. The aim of this project is to refine the methodology for feature extraction, one of the initial steps in such a system. Two primitive objects, rectangles and parallel lines, are focused.
EHP-independent repression of endogenous mRNAs by the RNA-binding protein GIGYF 2

Initially identified as a factor involved in tyrosine kinase receptor signaling, Grb10-interacting GYF protein 2 (GIGYF2) has later been shown to interact with the 5′ cap-binding protein 4EHP as part of a translation repression complex, and to mediate posttranscriptional repression of tethered reporter mRNAs. A current model proposes that GIGYF2 is indirectly recruited to mRNAs by specific RNA-binding proteins (RBPs) leading to translation repression through its association with 4EHP. Accordingly, we recently observed that GIGYF2 also interacts with the miRNA-induced silencing complex and probably modulates its translation repression activity. Here we have further investigated how GIGYF2 represses mRNA function. In a tethering reporter assay, we identify three independent domains of GIGYF2 with repressive activity. In this assay, GIGYF2-mediated repression is independent of 4EHP but largely dependent on the CCR4/NOT complex that GIGYF2 recruits through multiple interfaces. Importantly, we show that GIGYF2 is an RBP and identify for the first time endogenous mRNA targets that recapitulate 4EHPindependent repression. Altogether, we propose that GIGYF2 has two distinct mechanisms of repression: one depends on 4EHP binding and mainly affects translation; the other is 4EHP-independent and involves the CCR4/NOT complex and its deadenylation
DSN: A Knowledge-Based Scholar Networking Practice Towards Research Community

In this paper, we carry out a knowledge-based scholar network practice towards Research community, named Research Social Networking, shortly DSN, by setting up a large knowledge base of scientists. We discuss key technologies in the paper, including scholar disambiguation and relationship extraction with the better performance evaluation than traditional methods. The DSN system has been implemented and integrated with Duckling cloud service, known as Research Online, with more than 60 thousand scientists and 100 thousand papers.
3D mapping and characterization of sistema zacatón from DEPTHX (DĒep P̄hreatic TH̄ermal eX̄plorer)

Underwater exploration at Sistema Zacaton reached human limits when Jim Bowden descended to a depth of 289 meters April 6, 1994. In order to understand this karst system, unmanned robotic exploration is required to document the immense geometry of the underwater caves. The DEPTHX (DEep Phreatic THermal eXplorer) vehicle was developed with support from NASA to approach this problem, with the additional impetus to address robotic exploration in outer space. During the winter and spring of 2007, DEPTHX conducted three-dimensional (3D) underwater mapping missions of 4 cenotes in Sistema Zacaton: El Zacaton, Caracol, Poza Verde, and La Pilita. The detailed maps discovered no lateral tunnels connecting the cenotes, which are only 100-200 meters apart from each other. The deepest cenote, El Zacaton was bottomed out at a depth of 319 meters (339 m including above water cliff), making it the deepest underwater vertical shaft and second deepest underwater cave in the world. No side tunnels were discovered. However, the 3D data revealed geomorphic features of the cenotes to document how the karst system may have evolved through time. Spatial geochemical data collected contemporaneously during mapping missions indicate that water in the three warmest cenotes is extremely homogeneous, and the cooler cenote displays chemoclines similar to lacustrine type settings. The data collected by DEPTHX are being used with other types of geologic information to investigate the specific nature of hypogenic karstification that formed the cave system.
Assessing the Role of Relationship Conflict in Sexual Dysfunction

Relationship conflict has long been thought to cause, maintain, and influence the therapeutic outcome of sexual problems in the absence of a physical cause. The results of conflict can influence partners' relationship satisfaction, and relationship satisfaction can influence sexual satisfaction. General relationship deficiencies, such as unresolved conflict, undermine the mutual acceptance that is important to healthy sexual functioning. The purpose of this article is to summarize some of the basic empirical findings of studies of conflict patterns in relationships and their role in sex dysfunction and to suggest a model for assessing relationship conflict as a feature of sexual dysfunction. Results from several studies indicate that couples with sexual problems may have conflict-management issues and employ distinct conflict-resolution styles compared to satisfied couples. Dysfunctional conflict resolution may be a cause or result of some sexual problems, whereas constructive interaction concerning conflict can add to emotional and sexual intimacy in a couple's relationship. These patterns warrant systematic attention in assessment and intervention in sex therapy.
Preoperative Steroid Use and Risk of Postoperative Complications in Patients With Inflammatory Bowel Disease Undergoing Abdominal Surgery

CONTEXT: Corticosteroids are the mainstay of medical therapies to induce remission in acute episodes of inflammatory bowel disease (IBD). However, evidence suggests that this may increase the risk of postoperative complications among patients with IBD who go on to have abdominal surgery.OBJECTIVE:To estimate the risk of postoperative complications following abdominal surgery in patients with IBD on steroids at the time of abdominal surgery.DESIGN: Meta-analysis of observational studies.METHODS:We searched medical electronic databases for full journal articles published after 1965 reporting on postoperative complications in patients with IBD undergoing abdominal surgery provided they compared patients treated with steroids with those not on steroids. We hand searched the reference lists of all retrieved articles. Two independent reviewers extracted data from studies meeting the inclusion criteria and any discrepancies were resolved by discussion. We carried out fixed effects meta-analysis, funnel plot and sensitivity analyses.RESULTS:A total of seven observational studies involving 1,532 patients met the inclusion criteria for risk of total complications, and five observational studies involving 1,714 patients met the inclusion criteria for risk of infectious complications. Pooled analysis showed an increased risk of all postoperative complications (OR 1.41, 95% confidence interval 1.07–1.87), as well as an increased risk of postoperative infectious complications (OR 1.68, 95% confidence interval 1.24–2.28) among patients on steroids. Patients who received higher doses of perioperative oral steroids (>40 mg) had a higher risk of total complications (OR 2.04 (95% CI 1.28–3.26). CONCLUSIONS:There is an increased risk of total as well as infectious complications following the use of steroids in patients with IBD.
AN EMPIRICAL ANALYSIS OF COFFEE PRICE TRANSMISSION IN VIETNAM

This paper examines the price links between the world price of Robusta and the producer price in Vietnam. A vector error correction model is employed to measure the price transmission between producer and world prices. The empirical results show that a long-run relationship exists between the producer and the world prices in Vietnam. Moreover, the short-run price transmission is asymmetric for Robusta. We conclude that the quality and the government intervention affect the results of the price link.
Personal and social proximity empowering collaborations: the glue of knowledge networks

ABSTRACT The proximity framework serves to analyse and understand how collaborations form and develop over time, and how these affect innovation and learning. The framework has inspired and informed empirical studies in several contexts, contributing to our understanding of the dynamics of dyadic collaborations, industrial clusters and districts, and regional innovation systems, to name but a few. Recent conceptual and empirical advances have called attention to the role of personal proximity and social proximity in such collaborations. In addition to other forms of proximity, these two dimensions could make up the glue that holds knowledge networks together. In the introduction to this special issue, we elaborate upon this proposition, setting out a point-of-departure for the three empirical studies collected in this issue. We summarize the findings of these papers, and develop a research agenda from those findings that may guide proximity researchers to novel research problems and useful research designs.