Miracle-dz/UniFAR-FTUs huggingface dataset:
Acclimation to different depths by the marine angiosperm Posidonia oceanica: transcriptomic and proteomic profiles

For seagrasses, seasonal and daily variations in light and temperature represent the mains factors driving their distribution along the bathymetric cline. Changes in these environmental factors, due to climatic and anthropogenic effects, can compromise their survival. In a framework of conservation and restoration, it becomes crucial to improve our knowledge about the physiological plasticity of seagrass species along environmental gradients. Here, we aimed to identify differences in transcriptomic and proteomic profiles, involved in the acclimation along the depth gradient in the seagrass Posidonia oceanica, and to improve the available molecular resources in this species, which is an important requisite for the application of eco-genomic approaches. To do that, from plant growing in shallow (−5 m) and deep (−25 m) portions of a single meadow, (i) we generated two reciprocal Expressed Sequences Tags (EST) libraries using a Suppressive Subtractive Hybridization (SSH) approach, to obtain depth/specific transcriptional profiles, and (ii) we identified proteins differentially expressed, using the highly innovative USIS mass spectrometry methodology, coupled with 1D-SDS electrophoresis and labeling free approach. Mass spectra were searched in the open source Global Proteome Machine (GPM) engine against plant databases and with the X! Tandem algorithm against a local database. Transcriptional analysis showed both quantitative and qualitative differences between depths. EST libraries had only the 3% of transcripts in common. A total of 315 peptides belonging to 64 proteins were identified by mass spectrometry. ATP synthase subunits were among the most abundant proteins in both conditions. Both approaches identified genes and proteins in pathways related to energy metabolism, transport and genetic information processing, that appear to be the most involved in depth acclimation in P. oceanica. Their putative rules in acclimation to depth were discussed.
Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition

Abstract It is argued that the principles needed to explain linguistic behavior are domain-general and based on the impact that specific experiences have on the mental organization and representation of language. This organization must be sensitive to both specific information and generalized patterns. In addition, knowledge of language is highly sensitive to frequency of use: frequently-used linguistic sequences become more frequent, more accessible and better integrated. The evidence adduced is mainly from phonology and morphology and addresses the issue of gradience and specificity found in postulated units, categories, and dichotomies such as regular and irregular, but the points apply to all levels of linguistic analysis including the syntactic, semantic, and discourse levels. Appropriate models for representing such phenomena are considered, including exemplar models and connectionist models, which are evolving to achieve a better fit with linguistic data. The major criticism of connectionist models often raised from within the combinatorial paradigm of much existing linguistic theory – that they do not capture ‘free combination’ to the extent that rule-based systems do, is regarded as a strength rather than a weakness. Recent connectionist models exhibit greater productivity and systematicity than earlier variants, but still show less uniformity of generalization than combinatorial models do. The remaining non-uniformity that the connectionist models show is appropriate, given that such non-uniformity is the rule in language structure and language behavior.
Modeling and Analysis of Bifurcation in a Delayed Worm Propagation Model

A delayed worm propagation model with birth and death rates is formulated. The stability of the positive equilibrium is studied. Through theoretical analysis, a critical value of Hopf bifurcation is derived. The worm propagation system is locally asymptotically stable when time delay is less than . However, Hopf bifurcation appears when time delay passes the threshold , which means that the worm propagation system is unstable and out of control. Consequently, time delay should be adjusted to be less than to ensure the stability of the system stable and better prediction of the scale and speed of Internet worm spreading. Finally, numerical and simulation experiments are presented to simulate the system, which fully support our analysis.
Strengthening EPC tags against cloning

The EPC (Electronic Product Code) tag is a form of RFID (Radio-Frequency IDentification) device that is emerging as a successor to the printed barcode. Like barcodes, EPC tags emit static codes that serve to identify and track shipping containers and individual objects. EPC tags, though, have a powerful benefit: they communicate in an automated, wireless manner.Some commercial segments, like the pharmaceutical industry, are coming to view EPC tags as a tool to combat counterfeiting. EPC tags are a potent mechanism for object identification, and can facilitate the compilation of detailed object histories and pedigrees. They are poor authenticators, though. EPC tags are vulnerable to elementary cloning and counterfeiting attacks.In this paper, we present simple techniques to strengthen the resistance of EPC tags against elementary cloning attacks. Our proposals are compliant with the EPCglobal Class-1 Generation-2 UHF standard for EPC tags, which is likely to predominate in supply chains. Such EPC tags contain PIN-based access-control and privacy enhancement mechanisms that are meant to enable tag authentication of readers during the transmission of sensitive commands (like the "kill" command). We show how to leverage such PINs to achieve the opposite goal, namely reader authentication of tags. We describe what may be viewed as crude challenge-response authentication protocols. These protocols do not defend against a full range of attacks, but still have significant practical application. Our techniques can strengthen EPC tags against cloning even in environments with untrusted reading devices.
Correlation of Fc-γ RIIA polymorphisms with latent Epstein–Barr virus infection and latent membrane protein 1 expression in patients with low grade B-cell lymphomas

Abstract Fc-γ RIIA (CD32), a member of the family of Fc-γ receptors, participates in the phagocytosis of bound to antibody antigens. The effectiveness of this function varies for its several haplotypes, and it participates in the pathogenesis of viral infections, according to recent studies. The genetic locus of Fc-γ RIIA consists of two allelic genes: 131-Arg (R131) and 131-His (H131). Our aim was to correlate Fc-γ RIIA polymorphisms, by studying the prevalence of each allele using PCR-RFLPs (polymerase chain reaction-restriction fragment length polymorphisms), with latent Epstein–Barr virus (EBV) infection and the expression of latent membrane protein 1 (LMP1) in 40 patients with leukemic low grade B-cell lymphomas. R131 was found in 84.2% of EBV-positive patients, but only in 28.5% of EBV-negative patients (p = 0.001). A similar correlation was found for R131 and LMP1 expression (84.6% vs. 28.5%) (p = 0.002). Our results support the hypothesis that Fc-γ RIIA polymorphisms are a genetic risk factor for latent EBV infection and the expression of its oncogenic latency proteins.
HLA-DP4, the Most Frequent HLA II Molecule, Defines a New Supertype of Peptide-Binding Specificity1

Among HLA-DP specificities, HLA-DP4 specificity involves at least two molecules, HLA-DPA1*0103/DPB1*0401 (DP401) and HLA-DPA1*0103/DPB1*0402 (DP402), which differ from each other by only three residues. Together, they are present worldwide at an allelic frequency of 20–60% and are the most abundant human HLA II alleles. Strikingly, the peptide-binding specificities of these molecules have never been investigated. Hence, in this study, we report the peptide-binding motifs of both molecules. We first set up a binding assay specific for the immunopurified HLA-DP4 molecules. Using multiple sets of synthetic peptides, we successfully defined the amino acid preferences of the anchor residues. With these assays, we were also able to identify new peptide ligands from allergens and viral and tumor Ags. DP401 and DP402 exhibit very similar patterns of recognition in agreement with molecular modeling of the complexes. Pockets P1 and P6 accommodate the main anchor residues and interestingly contain only two polymorphic residues, β86 and β11, respectively. Both positions are almost dimorphic and thus produce a limited number of pocket combinations. Taken together, our results support the existence of three main binding supertypes among HLA-DP molecules and should significantly contribute to the identification of universal epitopes to be used in peptide-based vaccines for cancer, as well as for allergic or infectious diseases.
Study of Detecting Defect System for the Images of Medical Aluminum-Plastic Cap

This paper introduces the current situation of the development of medical aluminum- plastic caps and the importance of developing a set of recognizing system to measure their defects. For the defects on the inner side of the cap, a kind of identification method by extracting the image characteristic values is put forward, which include Area, Compact degree and six moment invariant parameters. Comparing the values of the caps to be detected with those of qualified ones, we then use the removing device to remove the failed caps.
Hydroxyapatite Coating of Titanium Implants Using Hydroprocessing and Evaluation of Their Osteoconductivity

Many techniques for the surface modification of titanium and its alloys have been proposed from the viewpoint of improving bioactivity. This paper contains an overview of surface treatment methods, including coating with hydroxyapatite (HAp), an osteoconductive compound. There are two types of coating methods: pyroprocessing and hydroprocessing. In this paper, hydroprocessing for coating on the titanium substrate with HAp, carbonate apatite (CO3–Ap), a CO3–Ap/CaCO3 composite, HAp/collagen, and a HAp/gelatin composite is outlined. Moreover, evaluation by implantation of surface-modified samples in rat tibiae is described.
A Simulation of Cache Sub-banking and Block Buffering as Power Reduction Techniques for Multiprocessor Cache Design

Researches show that the bulk of the power consumption of a processor system goes to the cache memory of the processor. Cache sub-banking and block buffering are the two most common techniques in reducing the power consumption of the cache memory. However, these techniques have only been applied to a single processor. This research study introduces these two techniques to multiprocessor systems. Parallel execution will be the biggest issue that will affect the behavior of the cache sub-banking and block buffering technique. Previous research claimed that the execution of a program spread between more than one processor tends to decrease its locality of reference compared to the same program executing on one processor which will also be studied. This research work created RTL models of cache architectures that implements the cache sub-banking and the block buffering technique. Memory traces were gathered from the M5 simulator which will serve as the stimulus and test bench for the RTL models. The data results showed that inserting a block buffer between level one cache and level two cache in a multiprocessor environment will prove useless because the size of the block buffer will never be enough to sustain the demands of the level one cache. The setup with 1024 set and 8 way which uses 1MB of cache memory is the best architecture to use for a cache architecture with cache sub-banking technique. It produce a miss rate of 12.31% which is an average miss rates from 16 different test bench.
Effects of Prior Antiplatelet Therapy on the Prognosis of Primary Intracerebral Hemorrhage: A Meta-analysis

Background: Antiplatelet therapy (APT) was prevalently being used in the prevention of vascular disease, but the influence of prior APT on the prognosis of patients with intracerebral hemorrhage (ICH) remains controversial. This meta-analysis was to explore the effects of prior APT on the prognosis of patients with primary ICH. Methods: PubMed and Embase were searched to identify the eligible studies. The studies comparing the mortality of ICH patients with or without prior APT were included. The quality of these studies was evaluated by the Newcastle–Ottawa quality assessment scale. The adjusted or unadjusted odds ratio (OR) for mortality between ICH patients with and without prior APT were pooled with 95% confidence interval (95% CI) as the effect of this meta-analysis. Results: Twenty-two studies fulfilled the inclusion criteria and exhibited high qualities. The pooled OR was 1.37 (95% CI: 1.13–1.66, P = 0.001) for univariate analysis and 1.41 (95% CI: 1.05–1.90, P = 0.024) for multivariate analysis. The meta-regression indicated that for each 1-day increase in the time of assessment, the adjusted OR for the mortality of APT patients decreased by 0.0049 (95% CI: 0.0006–0.0091, P = 0.026) as compared to non-APT patients. Conclusion: Prior APT was associated with high mortality in patients with ICH that might be attributed primarily to its strong effect on early time.
Role of soft computing techniques in predicting stock market direction

The stock market is a complex and dynamic system with noisy, non-stationary and chaotic data series. Prediction of a financial market is more challenging due to chaos and uncertainty of the system. Soft computing techniques are progressively gaining presence in the financial world. Compared to traditional techniques to predict the market direction, soft computing is gaining the advantage of accuracy and speed. However the input data selection is the major issue in soft computing. The aim of this paper is to explain the potential day by day research contribution of soft computing to solve complex problem such as stock market direction prediction. This study paper synthesizes five reference papers and explains how soft computing is gaining the popularity in the field of financial market. The selection of papers are based on various models wich are processing different input parameters for predicting the direction of stock market.
Autotomy reduces immune function and antioxidant defence

Costs of autotomy, an antipredator defence, are typically explained by impaired mobility; yet physiologically mediated costs may also play a role. Given the resemblance to wounding, a decreased immune function and an associated reduction in antioxidant defence is expected after autotomy. In line with this, after lamellae autotomy, larvae of the damselfly Lestes viridis showed lower levels of innate immunity (i.e. phenoloxidase, PO) and antioxidant defence (superoxide dismutase, SOD). Levels of catalase (CAT) remained, however, unaffected. In line with its cytotoxicity, PO covaried positively with CAT, yet negatively with SOD. We identified a novel cost of autotomy in terms of a reduced innate immunity, which may provide an alternative explanation for the often observed costs of autotomy and which may generate indirect interactions between predators and parasites.
Orexins and the regulation of the hypothalamic‐pituitary‐testicular axis

Orexins (OX), OX‐A and OX‐B, were initially identified as hypothalamic neuropeptides primarily involved in the control of food intake and states of arousal. Thereafter, orexins have been substantiated as putative pleiotropic regulators of a wide diversity of biological systems, including different neuroendocrine axes. Among the latter, compelling experimental evidence has recently been documented that orexins, mainly OX‐A, may act at different levels of the hypothalamic‐pituitary‐gonadal (HPG) axis to modulate reproductive function. These actions are likely to include regulatory effects on the hypothalamic centres governing the HPG axis, as well as direct actions at the gonadal level. We review herein the experimental evidence, gathered in recent years, supporting a reproductive ‘facet’ of orexins, with special emphasis on our current knowledge of their patterns of expression and potential functional roles in the testis. Overall, the available data strongly suggest that, by acting at different levels of the HPG axis, orexins may operate as putative neuroendocrine and autocrine/paracrine regulators of gonadal function.
A Novel Registration Approach Based on Curve Fitting Technique for Iris Images

Iris registration aims at processing many iris images which collected from the same person, these images are different in pupil size, texture and so on. The study in this research field is very valuable. In this paper we have proposed that apply curve fitting technology in iris registration. First, the Harris corner detection has been employed to check the feature of iris images, followed we have combined the local jet and LBP approach to obtain some potential matching points between iris images, then according to the ratio of the Euclidean-distance from the matched points to the center of each pupil we have drawn the plot. Finally we have done the curve fitting, using the curves to estimate transform model and acquired the iris registration images. The experimental results have shown that our method is more accurate and more close to source image than traditional method which found in current literature.
Treatment of Gustatory Sweating with Botulinum Toxin: Special Aspects

Botulinum toxin treatment is an efficient, well-tolerated technique for patients suffering from gustatory sweating, first described by our group. With the experience gained in recent years we were able to improve on some of our skills in the diagnosis and treatment of gustatory sweating and here we wish to focus on some interesting aspects: (1) the necessity for an exact anamnesis before treatment with botulinum toxin to ensure correct treatment; (2) the advantages of Minor`s test in special situations, for example, when sweating occurs in regions of hairy skin, retroauricular, at the back of the auricle and in areas distant from the site of salivary gland surgery; (3) the reduction of pain during treatment using an anesthetic ointment containing lidocaine and prilocaine as active substances; (4) intracutaneous injections in areas anterior to the fascia-protected skin of the lateral face-covering mimetic muscles, and (5) the occasional necessity for short-time reinjection in small areas of persistent sweating.
Video Mosaicing using Manifold Projection

Video mosaicing is commonly used to increase the visual eld of view by pasting together many video frames. Existing mosaicing methods are eeective only in very limited cases where the image motion is almost a uniform translation or the camera performs a pure pan. Forward camera motion or camera zoom are very problematic for traditional mosaicing. A mosaicing methodology to allow image mosaicing in the most general cases is presented, where frames in the video sequence are transformed such that the optical ow becomes parallel. This transformation is modelled by a projection of the scene into some manifold. Manifold projection enables to deene high-quality mosaicing even for the most challenging cases of forward motion and of zoom. In addition, view interpolation, generating dense intermediate views, is used to overcome parallax eeects.
Occupation and Workplace Policies Predict Smoking Behaviors: Analysis of National Data From the Current Population Survey

Objective:Describe differences in smoking behaviors associated with occupation, workplace rules against smoking, and workplace smoking cessation programs. Methods:We analyzed data from the Current Population Survey—Tobacco Use Supplement surveys from 1992 through 2007. Results:After adjusting for demographic factors, blue-collar workers were at higher risk than white-collar workers for ever smoking, current smoking, and persistent smoking (current smoking among ever smokers). Construction workers were more likely to be current daily smokers than other blue-collar workers. Among ever smokers, current daily smoking was more common in the absence of both workplace rules against smoking and workplace smoking cessation programs. Conclusions:Social or cultural effects related to occupation are important determinants of smoking. More aggressive promotion of smoking cessation programs and workplace rules prohibiting smoking could have a significant public health impact.
Lanthanide–Organic Framework Nanothermometers Prepared by Spray‐Drying

Accurate, noninvasive, and self‐referenced temperature measurements at the submicrometer scale are of great interest, prompted by the ever‐growing demands in the fields of nanotechnology and nanomedicine. The thermal dependence of the phosphor's luminescence provides high detection sensitivity and spatial resolution with short acquisition times in, e.g., biological fluids, strong electromagnetic fields, and fast‐moving objects. Here, it is shown that nanoparticles of [(Tb0.914Eu0.086)2(PDA)3(H2O)]·2H2O (PDA = 1,4‐phenylenediacetic acid), the first lanthanide–organic framework prepared by the spray‐drying method, are excellent nanothermometers operating in the solid state in the 10–325 K range (quantum yield of 0.25 at 370 nm, at room temperature). Intriguingly, this system is the most sensitive cryogenic nanothermometer reported so far, combining high sensitivity (up to 5.96 ± 0.04% K−1 at 25 K), reproducibility (in excess of 99%), and low‐temperature uncertainty (0.02 K at 25 K).
A Newer User Authentication, File encryption and Distributed Server Based Cloud Computing Security Architecture

The cloud computing platform gives people the opportunity for sharing resources, services and information among the people of the whole world. In private cloud system, information is shared among the persons who are in that cloud. For this, security or personal information hiding process hampers. In this paper we have proposed new security architecture for cloud computing platform. This ensures secure communication system and hiding information from others. AES based file encryption system and asynchronous key system for exchanging information or data is included in this model. This structure can be easily applied with main cloud computing features, e.g. PaaS, SaaS and IaaS. This model also includes onetime password system for user authentication process. Our work mainly deals with the security system of the whole cloud computing platform.
Managing Variable and Cooperative Time Behavior

This paper is about the requirements and architectural considerations that provide a SORT system with processes for observing, modeling, simulating, predicting, deciding, and acting in an external environment. For our purposes, ``real time'' (RT) means coordinated with an external source of time or with sequences of events over which the system has no direct control. It is this unpredictability in the timing of responses that is the hardest constraint on a real-time system design, especially when it is known a priori that the system cannot keep up with all important events, and that ``as fast as possible'' is not appropriate for some external interactions. We will describe a testbed that we are developing as a student team project at California State Polytechnic University, Pomona (Cal Poly Pomona) to experiment with SORT strategies, and a set of games that we will use to benchmark performance. Then we will describe some useful technical background from several areas: reasoning and representation processes, situation theory, levels of meaningfulness in knowledge, and activity loops. Finally, we show how these concepts apply to SORT agent knowledge and coordination. Our contribution here is to outline a set of problems (in the form of cooperative games) that we hope others in the community will adopt as one method for benchmarking models, methods, strategies, and other processes used in SORT systems.