Miracle-dz/UniFAR-FTUs huggingface dataset:
Using the Model of Markets with Intermediaries as an Incentive Scheme for Opportunistic Social Networks

The popularity of smart phones and other intelligent devices has made it possible for us to organize social activities by means of opportunistic social networks. However, message dissemination performance in opportunistic social networks is highly dependent on the cooperation between different users. In this paper, we put forward the model of markets with intermediaries as an incentive mechanism. In this model, users can overcome their selfishness in order to get profits, thus cooperation can be strengthened. Based on this incentive mechanism, we propose a broker selection algorithm: the Ranger Algorithm. Rangers are those users who not only have met with users in other communities for multiple times, but also have a high probability of meeting these users. Experiments are implemented using the MIT Reality Mining Dataset. Results show that the model of markets with intermediaries can serve as an incentive mechanism to stimulate collaboration, and Ranger Algorithm outperforms other baseline algorithms in improving message dissemination performance. On the basis of the above work, a prototype system is built to help organize offline social activities.
A Choice of the Path to the Development of Chinese Rural Civil Society

Traditionally, Chinese rural society is a provincial society, but in the historical transformation of contemporary Chinese society, it displays a definite new trend of changing to a modern civil society. Based on the reality of the development of the rural society, this article analyses the growth and further development of Chinese rural civil society from the perspectives of social autonomy, governmental function and the order of rule of law.
Comparative Analysis of Support Vector Machine: Employing Various Optimization Algorithms

Support Vector Machines (SVMs) have proved to be good alternative compared to other machine learning techniques specifically for classification problems. The use of optimization methodologies plays a central role in finding solutions of SVMs. In this paper, we present a comparative analysis of study of standard SVM implementing Quadratic Programming (QP) in comparison with SVM employing Evolutionary Algorithm (EvoSVM) and Particle Swam Optimization (PSOSVM) to solve the quadratic optimization problem of SVM. Two class classification problems pertaining to Wisconson Breast Cancer and Bankruptcy prediction using Spanish Banks, Turkish Banks and US Banks data have been analyzed in this study. Based on the datasets used in this study and the results yielded, it is observed that standard SVM outperform other variants of SVM.
Production of Ibuprofen Acyl Glucosides by Human UGT2B7

UDP-glycosyltransferases (UGTs) are an important group of enzymes that participate in phase II metabolism of xenobiotics and use the cofactor UDP-glucuronic acid for the production of glucuronides. When acting on molecules bearing a carboxylic acid they can form acyl glucuronides, a group of metabolites that has gained significant interest in recent years because of concerns about their potential role in drug toxicity. In contrast, reports about the production of drug acyl glucosides (which might also display high reactivity) have been scarce. In this study, we discovered the formation of acyl glycoside metabolites of R- and S-ibuprofen (Ibu) by human liver microsomes supplied with the cofactor UDP-glucose. Subsequently, human UGT2B7*1 and UGT2B7*2 recombinantly expressed in fission yeast Schizosaccharomyces pombe could be shown to catalyze these reactions. Moreover, we could enhance the glucoside production rate in fission yeast by overexpressing the fission yeast gene SPCC1322.04, a potential UDP-glucose pyrophosphorylase (UGPase), but not by overexpression of SPCC794.10, and therefore suggest to name this gene fyu1 for fission yeast UGPase1. It was interesting to note that pronounced differences between the two polymorphic UGT2B7 variants were observed with respect to acyl glucoside production. Finally, using the metabolic precursor [13C6]glucose, we demonstrated the production of stable isotope-labeled reference standards of Ibu acyl glucoside and Ibu acyl glucuronide by whole-cell biotransformation in fission yeast.
AKAP79 Selectively Enhances Protein Kinase C Regulation of GluR1 at a Ca2+-Calmodulin-dependent Protein Kinase II/Protein Kinase C Site*

Enhancement of AMPA receptor activity in response to synaptic plasticity inducing stimuli may arise, in part, through phosphorylation of the GluR1 AMPA receptor subunit at Ser-831. This site is a substrate for both Ca2+-calmodulin-dependent protein kinase II (CaMKII) and protein kinase C (PKC). However, neuronal protein levels of CaMKII may exceed those of PKC by an order of magnitude. Thus, it is unclear how PKC could effectively regulate this common target site. The multivalent neuronal scaffold A-kinase-anchoring protein 79 (AKAP79) is known to bind PKC and is linked to GluR1 by synapse-associated protein 97 (SAP97). Here, biochemical studies demonstrate that AKAP79 localizes PKC activity near the receptor, thus accelerating Ser-831 phosphorylation. Complementary electrophysiological studies indicate that AKAP79 selectively shifts the dose-dependence for PKC modulation of GluR1 receptor currents ∼20-fold, such that low concentrations of PKC are as effective as much higher CaMKII concentrations. By boosting PKC activity near a target substrate, AKAP79 provides a mechanism to overcome limitations in kinase abundance thereby ensuring faithful signal propagation and efficient modification of AMPA receptor-mediated responses.
Registro de la actividad eléctrica cerebral de la atención implicada en la conducción bajo el efecto del alcohol usando un instrumento bci (brain control interface)

The ingestion of alcohol has been linked to characteristic changes in EEG activity, and these changes depend on several factors. Previous research has been conducted with a variety of experimental designed, but most have focused on reporting the effect of alcohol consumption in subjects with a history of alcohol abuse, and a few have reported the effects of lower doses of alcohol. This project recorded brain activity related to attention in a driving situation with an emotiv EPOC brain control interface (BCI) device after ingestion of 0,300 g of alcohol (0,02 % bac) or none in a preexperiemental pre-test and post-test design with 30 college students aged 18-45. Results suggest that lower doses of alcohol change wave dynamics, reducing the amplitude of fast alpha (9-13Hz) and beta (14-30Hz) waves in frontal lobe zones involved in sustained attention in driving.
Towards a Training-Oriented Adaptive Decision Guidance and Support System

Information systems today have become incredibly complex and span multiple organizational networks, database and applications servers and on to the external Internet cloud resources. Consequently strategic approaches are needed to troubleshoot system failures by first identifying the component causing the failure, and thereby, further investigating the cause of the failure to solve the problem. Information regarding past troubleshooting strategies can be used to provide guidance for solving similar problems. We present a framework, DSDAware (Decision Support for Database Administrators using Warehouse-as-a-service) for developing a Decision Guidance and Support System (DGSS). The framework dynamically extracts knowledge from various correlated data sources containing systems related data and from the problem solving procedures of the human experts. The knowledge is used in a strategic problem solving approach to train new administrators by guiding them through the troubleshooting process using an interactive interface, and to offer a decision support service to the Web community. Our work specifically focuses on z/OS Mainframe DB2 database (DB) problems where the inherent complexity of the system makes troubleshooting a challenging task. The diminishing population of mainframe DB administrators (DBA) asserts the need for a DGSS for the new DBAs. The research applies text and data mining techniques for knowledge extraction, a rule-based system for knowledge representation and problem categorization, and a case-based system for providing decision support.
Unconventional Splicing of HAC1/ERN4 mRNA Required for the Unfolded Protein Response

Accumulation of unfolded proteins in the endoplasmic reticulum (ER) activates an intracellular signaling pathway from the ER to the nucleus, termed the unfolded protein response. We and others recently identified transcription factor Hac1p/Ern4p responsible for the response in Saccharomyces cerevisiaeand found that Hac1p expression is controlled by the regulated splicing of HAC1 mRNA. Walter and co-workers (Sidrauski, C., Cox, J. S., and Walter, P. (1996) Cell, 87, 405–413) further showed that the splicing requires tRNA ligase but not spliceosome. In this report, we carried out mutational analysis ofHAC1 mRNA and revealed several unique features of the splicing. First, a mutation or deletion of the branchpoint-like sequence present in HAC1 intron did not affect the splicing. Second, cleavage of the splice sites was sequence-specific and thus completely blocked by some point mutations introduced at the 5′ or 3′ splice site. Third, cleavage of the 5′ and 3′ splice sites could occur independently as judged by the nature of splicing intermediates accumulated. Fourth, swapping the nucleotide sequences of the 5′ and 3′ splice sites inhibited the ligation but not the cleavage step. We conclude that signaling from the ER activates putative endonucleases that can carry out sequence-specific cleavage of the splice sites in a random order.
Everyday life sounds and speech analysis for a medical telemonitoring system

In order to improve patients’ life conditions and to reduce the costs of the long hospitalization, the medicine is more and more interested in the telemonitoring techniques. These will allow the old people or the high risk patients to stay at home, and to benefit from a remotely and automated medical supervision. We develop in collaboration with TIMC-IMAG laboratory, a system of telemonitoring in a habitat equipped with physiological sensors, position encoders of the person, and microphones. The originality of our approach consists in replacing the video camera monitoring, hardly accepted by the patients by microphones recording the sounds (speech or noises) in the apartment. The microphones carry out a multichannel sound acquisition system which, thanks to the sound information coupled with physical information, will enable us to identify a situation of distress. We describe the practical solutions chosen for the acquisition system and the recorded corpus of situations.
Semi-Optimal Edge Detector based on Simple Standard Deviation with Adjusted Thresholding

This paper proposes a novel method which combines both median filter and simple standard deviation to accomplish an excellent edge detector for image processing. First of all, a denoising process must be applied on the grey scale image using median filter to identify pixels which are likely to be contaminated by noise. The benefit of this step is to smooth the image and get rid of the noisy pixels. After that, the simple statistical standard deviation could be computed for each 2X2 window size. If the value of the standard deviation inside the 2X2 window size is greater than a predefined threshold, then the upper left pixel in the 2? 2 window represents an edge. The visual differences between the proposed edge detector and the standard known edge detectors have been shown to support the contribution in this paper.
ON THE CAYLEY TRANSFORM OF POSITIVITY CLASSES OF MATRICES

The Cayley transform of A, F =( I + A)−1 (I − A), is studied when A is a P -matrix, an M -matrix, an inverse M-matrix, a positive definite matrix, or a totally nonnegative matrix. Given am atrixA in each of these positivity classes and using the fact that the Cayley transform is an involution, properties of the ensuing factorization A =( I + F ) −1 (I − F ) are examined. Specifically, it is investigated whether these factors belong to the same positivity class as A and, conversely, under what conditions on these factors does A belong to one of the above positivity classes.
Classification and reassembly of archaeological fragments

Large number of archaeological fragments are mixed up when they are excavated, which brings difficulties for their reassembly. Computer aided restoration technologies have developed greatly in recent years, and approaches nowadays assist experts in a large scale. However, there still exist large number of fragments which are not reassembled and repaired. The current approaches have some disadvantages which affect the reassembly in large scale. This is because of the particular characteristics of archaeological fragments which affect the effectiveness of the current approaches. On the one hand, the archaeological fragments are piled up when they are excavated in archaeological sites. On the other hand, the fragments are changed during the long time because of abrasion and erosion. Therefore, innovative methods for the classification and reassembly of archaeological fragments are needed urgently. In this paper, the relate work on the classification and reassembly of archaeological fragments are first presented. Then, the problems when applying current approaches are summarized. At last, a feasible plan is given in order to classify and reassemble the fragments efficiently. By intact surface segmentation and partial matching with a complete model using discriminative feature descriptors, large number of fragments can be positioned with respect to a template model. The matching results provide the classification information and can assist the reassembly of fragments.
Exon Exchange Approach to Repair Duchenne Dystrophin Transcripts

Background Trans-splicing strategies for mRNA repair involve engineered transcripts designed to anneal target mRNAs in order to interfere with their natural splicing, giving rise to mRNA chimeras where endogenous mutated exons have been replaced by exogenous replacement sequences. A number of trans-splicing molecules have already been proposed for replacing either the 5′ or the 3′ part of transcripts to be repaired. Here, we show the feasibility of RNA surgery by using a double trans-splicing approach allowing the specific substitution of a given mutated exon. Methodology/Principal Findings As a target we used a minigene encoding a fragment of the mdx dystrophin gene enclosing the mutated exon (exon 23). This minigene was cotransfected with a variety of exon exchange constructions, differing in their annealing domains. We obtained accurate and efficient replacement of exon 23 in the mRNA target. Adding up a downstream intronic splice enhancer DISE in the exon exchange molecule enhanced drastically its efficiency up to 25–45% of repair depending on the construction in use. Conclusions/Significance These results demonstrate the possibility to fix up mutated exons, refurbish deleted exons and introduce protein motifs, while keeping natural untranslated sequences, which are essential for mRNA stability and translation regulation. Conversely to the well-known exon skipping, exon exchange has the advantage to be compatible with almost any type of mutations and more generally to a wide range of genetic conditions. In particular, it allows addressing disorders caused by dominant mutations.
Markov chain models for GP and variable-length GAs with homologous crossover

In this paper we present a Markov chain model for GP and variable-length GAs with homologous crossover: a set of GP operators where the offspring are created preserving the position of the genetic material taken from the parents. We obtain this result by using the core of Vose's model for GAs in conjunction with a specialisation of recent GP schema theory for such operators. The model is then specialised for the case of GP operating on 0/1 trees: a tree-like generalisation of the concept of binary string. For these symmetries exist that can be exploited to obtain further simplifications. In the absence of mutation, the theory presented here generalises Vose's GA model to GP and variable-length GAs.
A Novel Stent Coated with Antibodies to Endoglin Inhibits Neointimal Formation of Porcine Coronary Arteries

Endoglin/CD105 is an accessory protein of the transforming growth factor-β receptor system that plays a critical role in proliferation of endothelial cells and neovasculature. Here, we aimed to assess the effect of novel stents coated with antibodies to endoglin (ENDs) on coronary neointima formation. Thirty ENDs, thirty sirolimus-eluting stents (SESs), and thirty bare metal stents (BMSs) were randomly assigned and placed in the coronary arteries in 30 juvenile pigs. Histomorphometric analysis and scanning electron microscopy were performed after stent implantation. Our results showed that after 7 days, there was no difference in the neointimal area and percent area stenosis in ENDs compared with SMSs or BMSs. After 14 days, the neointima area and percent area stenosis in ENDs were markedly decreased than those in BMSs or SESs (P < 0.05). Moreover, the percentage of reendothelialization was significantly higher in ENDs than that in SESs or BMSs (P < 0.01) at 7 and 14 days. The artery injury and the inflammation scores were similar in all groups at 7 and 14 days. In conclusion, our results demonstrated for the first time to our knowledge that endoglin antibody-coated stents can markedly reduce restenosis by enhancing reendothelialization in the porcine model and potentially offer a new approach to prevent restenosis.
Logical Reconstruction of Normative RDF

In this sketchy paper we introduce a logical reconstruction of the RDF family of languages and the OWL-DL family of languages. We prove that our logical framework is equivalent to the normative W3C definitions of RDF/RDFS and OWL-DL/Lite. The main aim is to have a unified model theoretic semantics for both worlds. As a consequence we get various complexity results and a model theoretic semantics for basic SPARQL.
Prognostic Effect of Pretreatment Serum Carcinoembryonic Antigen Level

Abstract Many studies have reported the prognostic value of pretreatment serum carcinoembryonic antigen (pre-CEA) levels on colorectal cancer outcomes. However, controversy remains concerning the significance of pre-CEA levels in patients with rectal cancer treated with neoadjuvant chemoradiotherapy (CRT). Our aim in this study was to investigate the prognostic role of the pre-CEA level in patients with locally advanced rectal cancer undergoing neoadjuvant CRT followed by total mesorectal excision (TME). A total of 419 patients with stages II and III rectal cancer treated with neoadjuvant CRT followed by TME with available pre-CEA data were included. The outcomes studied were 5-year local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and disease-free survival (DFS). Optimal pre-CEA cutoff values to predict DMFS were determined based on current smoking history. The median pre-CEA level of smokers was 3.8 ng/mL, and that of nonsmokers was 2.8 ng/mL (P < 0.01). Pre-CEA levels of 6.6 ng/mL for nonsmokers and 11.4 ng/mL for smokers were determined to best separate patients on the basis of time to distant metastasis by using log-rank statistics. The pre-CEA level was associated with DMFS (hazard ratio = 1.743, 95% confidence interval = 1.129–2.690, P = 0.01). The pre-CEA level was not associated with LRFS or DFS.The pre-CEA level appears to be a significant preoperative prognostic factor. Moreover, it is as valuable as any known pathologic factor. Future studies evaluating oncologic outcomes should take into consideration the pre-CEA level.
MACHO Parallaxes from a Single Satellite

Massive Compact Objects (Machos) are currently being discovered at substantially higher rates than would be expected from standard models of known stellar populations. To determine whether they are due to non-standard distri- butions of known populations or to a heretofore unknown (`dark') population, one must acquire more information about the individual events. Space-based parallaxes are potentially the best tool for extracting additional information. To leading order, parallax measurements by a single satellite result in a four- fold degeneracy: two possible values of $\tilde v$ and two possible signs for the component of motion perpendicular to the projected satellite-Earth vector. It had been believed that a second satellite would be required to break this degeneracy. I show that the velocity difference between the satellite and the Earth allows one to partially or totally break the degeneracy using a single satellite. For most Macho events it is possible to measure $\tilde v$ and $\tilde r_e$. For some it is also possible to measure $\Phi$. The proposed Space Infrared Telescope could measure $\sim 100$ parallaxes per year by applying $\sim 400\,$hr of telescope time.
Age-Dependent Responses of Brain Myelin Integrity and Behavioral Performance to Radiation in Mice

Radiation therapy is widely used to treat primary and metastatic brain tumors, but it may also lead to delayed neurological complications. Oligodendrocytes in the central nervous system produce myelin, and myelin integrity becomes highly vulnerable after brain irradiation. In this study, mice at different developmental stages were used to test the age-dependent sensitivity of myelin formation and maintenance, as well as behavioral performance after whole-brain irradiation (WBI). Mice at postnatal days 21 and 28 and at 2 months received a single dose of 25 Gy WBI. Behavioral tests for general locomotor activity and motor coordination revealed an age-dependent response after WBI. Quantitative observation revealed a sharp decrease in the number of oligodendrocytes beginning at day 1 after WBI, which recovered during different observation intervals in white matter and gray matter in mice of different ages. Myelin basic protein (MBP) staining revealed disparate quantities in an age- and brain-region-dependent pattern between groups after WBI, which was confirmed using Black-Gold staining. In summary, the response to radiation in mice of different ages provided insight into the potential of oligogenesis in microenvironments at respective stages of myelin regeneration, which may reduce central nervous system impairment and optimize the prognosis after radiation treatment.
Genome-Wide Identification of Early-Firing Human Replication Origins by Optical Replication Mapping

The timing of DNA replication is largely regulated by the location and timing of replication origin firing. Therefore, much effort has been invested in identifying and analyzing human replication origins. However, the heterogeneous nature of eukaryotic replication kinetics and the low efficiency of individual origins in metazoans has made mapping the location and timing of replication initiation in human cells difficult. We have mapped early-firing origins in HeLa cells using Optical Replication Mapping, a high-throughput single-molecule approach based on Bionano Genomics genomic mapping technology. The single-molecule nature and 290-fold coverage of our dataset allowed us to identify origins that fire with as little as 1% efficiency. We find sites of human replication initiation in early S phase are not confined to well-defined efficient replication origins, but are instead distributed across broad initiation zones consisting of many inefficient origins. These early-firing initiation zones co-localize with initiation zones inferred from Okazaki-fragment-mapping analysis and are enriched in ORC1 binding sites. Although most early-firing origins fire in early-replication regions of the genome, a significant number fire in late-replicating regions, suggesting that the major difference between origins in early and late replicating regions is their probability of firing in early S-phase, as opposed to qualitative differences in their firing-time distributions. This observation is consistent with stochastic models of origin timing regulation, which explain the regulation of replication timing in yeast.