Miracle-dz/UniFAR-FTUs huggingface dataset:
MG53 anchored by dysferlin to cell membrane reduces hepatocyte apoptosis which induced by ischaemia/reperfusion injury in vivo and in vitro

Hepatic ischaemia/reperfusion (HIR) induces severe damage on hepatocyte cell membrane, which leads to hepatocyte death and the subsequent HIR injury. In this study, we investigated the role and the mechanism of mitsugumin‐53 (MG53), a novel cell membrane repair protein, in protecting the liver against HIR injury. Rats were subjected to sham operation or 70% warm HIR with or without recombined MG53 (rhMG53), caudal vein‐injected 2 hrs before inducing HIR. In vitro, cultured hepatocyte AML12 cells were subjected to hypoxia/reoxygenation (H/R) in the presence of rhMG53 and/or dysferlin gene shRNAs or adenovirus transfection. HIR resulted in severe liver injury manifested as severe liver histological changes and increased AST and ALT release. Post‐ischaemic hepatic oxidative stress was significantly enhanced demonstrated by elevated dihydroethidium level, increased 4‐hydroxynonenal, enhanced 15‐F2t‐isoprostane and decreased SOD activity. rhMG53 administration attenuated post‐HIR liver injury, decreased liver oxidative stress and further enhanced dysferlin protein expression and its colocalization with MG53. Similarly, H/R induced AML12 cell injury and oxidative stress, which were abolished by either rhMG53 or dysferlin overexpression but were exacerbated by dysferlin gene knockdown. Dysferlin overexpression further increased H/R‐induced increased colocalization of MG53 and dysferlin. In conclusion, MG53 was anchored by dysferlin to reduce oxidative stress and cell death and attenuate HIR injury.
Is platelet concentrate advantageous for the surgical treatment of periodontal diseases? A systematic review and meta-analysis.

BACKGROUND The aim of the present review is to systematically evaluate the effects of autogenous platelet concentrates on clinical outcomes of the surgical treatment of periodontal diseases. METHODS MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched using a combination of specific search terms. Furthermore, a hand search of relevant journals and bibliographies of reviews was performed. Only randomized clinical trials were included. For periodontal intrabony defects, the primary outcome variable was the clinical attachment level. For gingival recession, outcome variables were root coverage and keratinized tissue increase. Data were adjusted for baseline values. The methodologic quality of the included studies was assessed. The results of studies in which the only difference between test and control groups was the adjunct of platelet concentrates were aggregated using a meta-analysis. For intrabony defects, the influences of guided tissue regeneration (GTR) and study type (split-mouth versus parallel studies) were also evaluated. RESULTS The initial search yielded 424 studies. Of the 29 eligible studies, 24 studies were included. There were 16 studies on the treatment of periodontal intrabony defects, all of which used platelet-rich plasma (PRP); six studies on gingival recession treatment; and two studies on the treatment of furcation defects. A significant positive effect of the adjunct of PRP was found for intrabony defects. Such an effect was magnified in studies in which GTR was not used, whereas in studies using GTR, the use of PRP had no adjunctive effect. No effect of the study type was found. No significant effect of platelet concentrates was found for gingival recession treatment in which only studies with a follow-up ≤6 months displayed positive results. No significant benefit of PRP could be demonstrated for furcation treatment. CONCLUSIONS PRP may exert a positive adjunctive effect when used in combination with graft materials, but not with GTR, for the treatment of intrabony defects. No significant benefit of platelet concentrates was found for the treatment of gingival recession.
Combining Distributed Classifies by Stacking

Many current mining tasks analyze data in environments with distributed computing nodes. Classification in such scenario needs to perform local mining task in each data site and then integrate local classifiers to a global model of the data. However, integration strategy can influence the performance and complexity of the final model. In this paper, based on the formalization of combining multiple classifiers by stacking in Distributed Data Mining, a new strategy to from meta-level training set is proposed, which can describe the vote made by each base-level classifiers. The experiment results show that our method achieve better performance for those datasets with highly skewed class distribution.
Frontex Perspectives on Biometrics for Border Checks

A console having annunciator lights and a cigar lighter receptacle compatible telescoping plug is mounted in the cigar lighter receptacle of an automobile. The plug is inserted in the receptacle using the console as a handle and telescopes within the console until the console abuts the dash board. Temperature sensing switch elements contained in an encapsulating capsule are connected by conductors to the lights and the receptacle power connections. The capsule is inserted in the transmission dip stick tube and the conductors pass through an existing opening in the fire wall.
Enhancing the Effectiveness of Career Counseling Interventions.

An attempt to integrate the career counseling outcome literature (Spokane & Oliver, 1983) indicated that career counseling was definitely beneficial overall. Subsequent updating and additional analyses of the literature confirmed the usefulness of career counseling and led to further findings. Intensity of treatment ("time on task") was, found to be a very important variable. Although individual career counseling was considered more effective per unit of time from the perspective of the Individual client, group approaches were found to be generally more economical. A lack of standardized measures for zany outcomes of interest was revealed, and a particular need for behavioral measures and cost-benefit and cost-effectiveneSs measures was foUnd. Practitioners are encouraged to assess the outcomes of their career counseling and to follow up clients who appear to haVe terminated prematurely. This paper reviews the results of this research integration effort and notes some implications of the findings for enhancing career counseling interventions in the areas of diagnosis, treatment, outcome assessment, and follow-up. (Author/NB) *****************************************************************:***** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
Flexible Software-Hardware Network Intrusion Detection System

Network intrusion detection system (NIDS) demands have been steadily increasing over the past few years. Current solutions using software become inefficient running on high speed high volume networks and will end up dropping packets. Hardware solutions are available and result in much higher efficiency but present problems such as flexibility and cost. Our proposed system uses a modified version of Snort, a robust widely deployed open-sourced NIDS. Snort spends a significant fraction of its processing time doing pattern matching. Our proposed system runs Snort in software until it gets to the pattern matching function and then off loads that processing to the field programmable gate array (FPGA). The hardware is able to process data at up to 1.7 GB/s on one Xilinx XC2VP100 FPGA. Our system is more flexible than other FPGA string matching designs in that the rules are not hard-coded. The design is scalable and allows FPGAs to be used in parallel to increase the processing speed even further.
High Performance Software Coherence for Current and Future Architectures

Shared memory provides an attractive and intuitive programming model for large-scale parallel computing, but requires a coherence mechanism to allow caching for performance while ensuring that processors do not use stale data in their computation. Implementation options range from distributed shared memory emulations on networks of workstations to tightly coupled fully cache-coherent distributed shared memory multiprocessors. Previous work indicates that performance varies dramatically from one end of this spectrum to the other. Hardware cache coherence is fast, but also costly and time-consuming to design and implement, while DSM systems provide acceptable performance on only a limit class of applications. We claim that an intermediate hardware option-memory-mapped network interfaces that support a global physical address space, without cache coherence-can provide most of the performance benefits of fully cache-coherent hardware, at a fraction of the cost. To support this claim we present a software coherence protocol that runs on this class of machines, and use simulation to conduct a performance study. We look at both programming and architectural issues in the context of software and hardware coherence protocols. Our results suggest that software coherence on NCC-NUMA machines in a more cost-effective approach to large-scale shared-memory multiprocessing than either pure distributed shared memory or hardware cache coherence.
Histone deacetylase inhibition regulates miR-449a levels in skeletal muscle cells

ABSTRACT microRNAs (miRNAs) are small non-coding RNAs that regulate cellular processes by fine-tuning the levels of their target mRNAs. However, the regulatory elements determining cellular miRNA levels are not well studied. Previously, we had described an altered miRNA signature in the skeletal muscle of db/db mice. Here, we sought to explore the role of epigenetic mechanisms in altering these miRNAs. We show that histone deacetylase (HDAC) protein levels and activity are upregulated in the skeletal muscle of diabetic mice. In C2C12 cells, HDAC inhibition using suberoylanilide hydroxamic acid (SAHA) altered the levels of 24 miRNAs: 15 were downregulated and 9 were upregulated. miR-449a, an intronic miRNA localized within the Cdc20b gene, while being downregulated in the skeletal muscle of diabetic mice, was the most highly upregulated during HDAC inhibition. The host gene, Cdc20b, was also significantly upregulated during HDAC inhibition. Bioinformatics analyses identified a common promoter for both Cdc20b and miR-449a that harbors significant histone acetylation marks, suggesting the possibility of regulation by histone acetylation-deacetylation. These observations suggest an inverse correlation between miR-449a levels and HDAC activity, in both SAHA-treated skeletal muscle cells and db/db mice skeletal muscle. Further, in SAHA-treated C2C12 cells, we observed augmented occupancy of acetylated histones on the Cdc20b/miR-449a promoter, which possibly promotes their upregulation. In vivo injection of SAHA to db/db mice significantly restored skeletal muscle miR-449a levels. Our results provide insights into the potential regulatory role of epigenetic histone acetylation of the miR-449a promoter that may regulate its expression in the diabetic skeletal muscle.
Boundary node selection algorithms in WSNs

Physical damage and/or node power exhaustion may lead to coverage holes in WSNs. Coverage holes can be directly detected by certain proximate nodes known as boundary nodes (B-nodes). Due to the sensor nodes' redundant deployment and autonomous fault detection, holes are surrounded by a margin of B-nodes (MB-nodes). If all B-nodes in the margin take part in the hole recovery processes, either by increasing their transmission power or by relocating towards region of interest (ROI), the probability of collision, interference, disconnection, and isolation may increase affecting the rest of the network's performance and QoS. Thus, distributed boundary node selection algorithms (BNS-Algorithms) are proposed to address these issues. BNS-algorithms allow B-nodes to self-select based on available 1-hop information extracted from nodes' simple geometrical and statistical features. Our results show that the performance of the proposed distributed BNS-algorithms approaches that of their centralized counterparts.
Species‐specific microRNA regulation influences phenotypic variability

Phenotypic divergence among animal species may be due in part to species‐specific (SS) regulation of gene expression by small, non‐coding regulatory RNAs termed “microRNAs”. This phenomenon can be modulated by several variables. First, microRNA genes vary by their level of conservation, many of them being SS, or unique to a particular evolutionary lineage. Second, microRNA expression levels vary spatially and temporally in different species. Lastly, while microRNAs bind the 3′UTR of target genes in order to silence their expression, the binding sites themselves are often non‐conserved. The variability of the miRNA‐target paradigm between different species is thus multifactorial, and this paradigm has only just started to gain attention from researchers in various fields. Here we present and discuss recent findings regarding the characteristics and implications of SS microRNA regulation.
Candidate pathway association study in cocaine dependence: The control of neurotransmitter release

Abstract Objectives. Cocaine is the second most used illegal drug in Europe. The transition from use to dependence involves both genetic and environmental factors. Genetic variation in neurotransmitter systems is involved in the susceptibility to cocaine dependence. We examined the possible contribution to cocaine dependence of 16 genes involved in the cellular machinery that controls neurotransmitter release: genes encoding proteins of the SNARE complex (STX1A, SNAP25, VAMP1 and VAMP2), fusion control elements (SYT1, SYT2, CPLX1, CPLX2, CPLX3 and CPLX4) and regulatory elements (STXBP1, SYP, SNPH, NSF, NAPA and RAB3A). Methods. We genotyped 121 SNPs, selected according to genetic coverage criteria, in 360 cocaine-dependent patients and 360 controls from Spain. Results. Single and multiple-marker analyses revealed a strong association between cocaine dependence and the NSF gene, encoding the N-ethylmaleimide-sensitive factor (P = 5.1e-04, OR = 2.44 (1.45–4.00) and P = 0.001, OR = 1.82 (1.28–2.59), respectively). The presence and absence of psychotic symptoms were also studied. Interestingly, when we considered the time between initial consumption and the onset of cocaine dependence, we observed that the association was mainly restricted to the group of patients that rapidly developed drug dependence (≤2 years; P = 2.98e-06, OR = 1.33 (1.20–1.47)). Conclusions. Our data show preliminary evidence that NSF may predispose not only to cocaine dependence, but also to an early onset of the dependence.
AmbiTalk: Enhancing Wireless Communication Services through the Automatic Adaptation of Mobile Communication

AmbiTalk is a ubiquitous system based on the session initiation protocol (SIP) and Bluetooth that allows a mobile device to automatically adapt the behavior of its communication services as its user moves from one location to another. The adaptation is policy-based and occurs both pre-call and mid-call. We present the AmbiTalk architecture and discuss how it allows a device to automatically adapt its communication properties to its current environment and other devices. We demonstrate the viability of the AmbiTalk approach with the implementation of a prototype
Stability analysis of an artificial biomolecular oscillator with non-cooperative regulatory interactions

ABSTRACT Oscillators are essential to fuel autonomous behaviours in molecular systems. Artificial oscillators built with programmable biological molecules such as DNA and RNA are generally easy to build and tune, and can serve as timers for biological computation and regulation. We describe a new artificial nucleic acid biochemical reaction network, and we demonstrate its capacity to exhibit oscillatory solutions. This network can be built in vitro using nucleic acids and three bacteriophage enzymes, and has the potential to be implemented in cells. Numerical simulations suggest that oscillations occur in a realistic range of reaction rates and concentrations.
A Comparative Analysis of Open Source Software Reliability

The purpose of this study is to compare the fitting (goodness-of-fit) and prediction capabilities of three reliability models using the failure data of five popular open source software (OSS) products. The failure data are modeled by Weibull and two other Non Homogenous Poisson Process (NHPP) models (Yamada S-Shaped and Schneidewind ). The OSS products considered are Eclipse , Apache HTTP Server 2 , Firefox , MPlayer OS X , and ClamWin Free Antivirus . Weibull is chosen due to its popularity in lifetime and its flexibility in modeling various distributions. On the other hand, among many software reliability models, the NHPP models are prevalent. The goodness-of-fit is based on the entire failure data collected. Prediction is accomplished by estimating the models parameters based on partial failure history and then applying the estimates to the entire time span for which failure data is collected. The outcomes show that a reliability model that fits the failure data well may not necessarily be a decent forecaster of future failure patterns.
Robust Fusion of Colour Appearance Models for Object Tracking

This paper reports on work which fuses three different appearance models to enable robust tracking of multiple objects on the basis of colour. Short-term variation in object colour is modelled non-parametrically using adaptive binning histograms. Appearance changes at intermediate time scales are represented by semi-parametric (Gaussian mixture) models while a parametric subspace method (Robust PCA) is employed to model long term stable appearance. Fusion of the three models is achieved through particle filtering and the Democratic integration method. It is shown how robust estimation and adaptation of the models both individually and in combination results in improved visual tracking accuracy.
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, WMT@ACL 2010, Uppsala, Sweden, July 15-16, 2010

The Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR (WMT10) took place on July 15 and 16 in Uppsala, Sweden, immediately following the 48th conference of the Association for Computational Linguistics (ACL). This is the sixth time this workshop has been held. The first time was in 2005 as part of the ACL 2005 Workshop on Building and Using Parallel Texts. In the following years the Workshop on Statistical Machine Translation was held at HLT-NAACL 2006 in New York City, USA, at ACL 2007 in Prague, Czech Republic, at ACL 2008 in Columbus, Ohio, USA, and at EACL 2009 in Athens, Greece. MetricsMATR was previously held in conjunction with AMTA 2008 in Honolulu, Hawaii, USA. The focus of our workshop was to evaluate the state of the art in machine translation for a variety of languages. Recent experimentation has shown that the performance of machine translation systems varies greatly with the source language. In this workshop we encouraged researchers to investigate ways to improve the performance of machine translation systems for diverse languages. Prior to the workshop, in addition to soliciting relevant papers for review and possible presentation we conducted a shared task that brought together machine translation systems for an evaluation on previously unseen data. The shared task also included a track for evaluation metrics and system combination methods. The results of the shared task were announced at the workshop, and these proceedings also include an overview paper that summarizes the results, as well as provides information about the data used and any procedures that were followed in conducting or scoring the task. In addition, there are short papers from each participating team that describe their underlying system in some detail. Like in previous years, we have received a far larger number of submission than we could accept for presentation. This year we have received 24 full paper submissions. 15 full papers were selected for oral presentation and one for poster presentation. We received 7 short paper submissions for the evaluation task, 9 short paper submissions for the system combination task, and 30 short paper submissions for the translation task. Due to the large number of high quality submission for the full paper track, shared task submissions were presented as posters. The poster session gave participants of the shared task the opportunity to present their approaches. The invited talk was given by Hermann Ney (RWTH Aachen).
Brain-Specific Knock-Out of Hypoxia-Inducible Factor-1α Reduces Rather Than Increases Hypoxic-Ischemic Damage

Hypoxia-inducible factor-1α (HIF-1α) plays an essential role in cellular and systemic O2 homeostasis by regulating the expression of genes important in glycolysis, erythropoiesis, angiogenesis, and catecholamine metabolism. It is also believed to be a key component of the cellular response to hypoxia and ischemia under pathophysiological conditions, such as stroke. To clarify the function of HIF-1α in the brain, we exposed adult mice with late-stage brain deletion of HIF-1α to hypoxic injuries. Contrary to expectations, the brains from the HIF-1α-deficient mice were protected from hypoxia-induced cell death. These surprising findings suggest that decreasing the level of HIF-1α can be neuroprotective. Gene chip expression analysis revealed that, contrary to expectations, the majority of hypoxia-dependent gene-expression changes were unaltered, whereas a specific downregulation of apoptotic genes was observed in the HIF-1α-deficient mice. Although the role of HIF-1α has been extensively characterized in vitro, in cancer models, and in chronic preconditioning paradigms, this is the first study to evaluate the role of HIF-1α in vivo in the brain in response to acute hypoxia/ischemia. Our data suggest, that in acute hypoxia, the neuroprotection found in the HIF-1α-deficient mice is mechanistically consistent with a predominant role of HIF-1α as proapoptotic and loss of function leads to neuroprotection. Furthermore, our data suggest that functional redundancy develops after excluding HIF-1α, leading to the preservation of gene expression regulating the majority of other previously characterized HIF-dependent genes.
Inhibition profiles of human tissue kallikreins by serine protease inhibitors

Abstract Accumulated evidence has shown that human tissue kallikreins (hKs), a group of 15 homologous secreted serine proteases, are novel cancer biomarkers. We report here the inhibition profiles of selected hKs, including hK5, hK7, hK8, hK11, hK12, hK13, and hK14, by several common serine protease inhibitors (serpins) found in plasma. The association constants for the binding of serpins to kallikreins were determined and compared. Protein C inhibitor was found to be the fastest-binding serpin for most of these hKs. α2-Antiplasmin, α1-antichymotrypsin, and α1-antitrypsin also showed rapid inhibition of certain hKs. Kallistatin exhibited fast inhibition only with hK7. Our data demonstrate that these hKs are specifically regulated by certain serpins and their distinct inhibition profiles will be valuable aids in various aspects of kallikrein research.