Miracle-dz/UniFAR-FTUs huggingface dataset:
MobiShare : Sharing Context-Dependent Data and Services among Mobile Devices ♣

Initiative on Global Computing for the cooperation of autonomous and mobile entities in dynamic environments. Abstract Rapid advances in wireless and mobile communications and computing technologies have enabled handy personal mobile devices to be used in everyday life. Such small mobile devices can now become not only information browsers and service clients, but also information and service providers, complementing or replacing fixed hosts connected to the wireline network. Such mobile resources can be very important for other moving users and mobile devices, creating significant opportunities for many interesting and novel applications. The MobiShare architecture outlined in this paper provides a scalable infrastructure for ubiquitous mobile access to dynamic information and mechanisms for publishing, discovering and accessing heterogeneous mobile resources in a large area, taking into account the context of both providers and requestors. Any wireless communication technology could be employed between a device and the system. In addition, the use of XML-related languages and protocols for describing and exchanging metadata gives the system a uniform, easily adaptable and platform-independent interface, allowing a variety of devices to use it. The overall approach is data-centric and service-oriented, implying that all the devices are treated both as potential providers or requestors of data wrapped as information m-services.
The Non-Lemniscal Auditory Cortex in Ferrets: Convergence of Corticotectal Inputs in the Superior Colliculus

Descending cortical inputs to the superior colliculus (SC) contribute to the unisensory response properties of the neurons found there and are critical for multisensory integration. However, little is known about the relative contribution of different auditory cortical areas to this projection or the distribution of their terminals in the SC. We characterized this projection in the ferret by injecting tracers in the SC and auditory cortex. Large pyramidal neurons were labeled in layer V of different parts of the ectosylvian gyrus after tracer injections in the SC. Those cells were most numerous in the anterior ectosylvian gyrus (AEG), and particularly in the anterior ventral field, which receives both auditory and visual inputs. Labeling was also found in the posterior ectosylvian gyrus (PEG), predominantly in the tonotopically organized posterior suprasylvian field. Profuse anterograde labeling was present in the SC following tracer injections at the site of acoustically responsive neurons in the AEG or PEG, with terminal fields being both more prominent and clustered for inputs originating from the AEG. Terminals from both cortical areas were located throughout the intermediate and deep layers, but were most concentrated in the posterior half of the SC, where peripheral stimulus locations are represented. No inputs were identified from primary auditory cortical areas, although some labeling was found in the surrounding sulci. Our findings suggest that higher level auditory cortical areas, including those involved in multisensory processing, may modulate SC function via their projections into its deeper layers.
Automated model grouping

A tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. Thereby new software development projects cannot profit from existing knowledge. In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. We will research methods to group existing models according to their functionality.
IL-12p40 Homodimer Ameliorates Experimental Autoimmune Arthritis

IL-23 is the key cytokine that induces the expansion of Th17 cells. It is composed of p19 and p40 subunits of IL-12. The p40 subunit binds competitively to the receptor of IL-23 and blocks its activity. Our aim was to assess the preventive and therapeutic effect of the IL-12p40 homodimer (p40)2 subunit in autoimmune arthritis animal models. In the current study, using IL-1R antagonist–knockout mice and a collagen-induced arthritis model, we investigated the suppressive effect of (p40)2 on inflammatory arthritis. We demonstrated that the recombinant adenovirus-expressing mouse (p40)2 model prevented the development of arthritis when given before the onset of arthritis. It also decreased the arthritis index and joint erosions in the mouse model if transferred after arthritis was established. (p40)2 inhibited the production of inflammatory cytokines and Ag-specific T cell proliferation. It also induced CD4+CD25+Foxp3 regulatory T (Treg) cells in vitro and in vivo, whereas the generation of retinoic acid receptor–related organ receptor γt and Th17 cells was suppressed. The induction of Treg cells and the suppression of Th17 cells were mediated via activated STAT5 and suppressed STAT3. Our data suggest that (p40)2 suppressed inflammatory arthritis successfully. This could be a useful therapeutic approach in autoimmune arthritis to regulate the Th17/Treg balance and IL-23 signaling.
Dementia After Stroke Is a Predictor of Long‐term Survival

The aim of this study was to determine whether dementia after stroke adversely influences long-term survival. Methods Subjects were 251 patients ≥60 years of age with ischemic stroke who were given neurological, neuropsychological, and functional examinations 3 months after hospitalization and were followed up prospectively. Using criteria modified from the Diagnostic and Statistical Manual of Mental Disorders-III-R, dementia was found in 66 (26.3%) patients at the 3-month baseline examination. Life-table methods were used to estimate mortality rates in the groups with and without dementia after 1 to 5 years of follow-up, Kaplan-Meier curves to estimate the cumulative proportion surviving with and without dementia, and Cox proportional-hazards analysis to compute the relative risk of mortality associated with dementia at baseline, after adjusting for other potential predictors of stroke mortality. Results The mortality rate was 19.8 deaths per 100 personyears with dementia compared with 6.9 deaths per 100 personyears without dementia. The cumulative proportion surviving after a median follow-up of 58.6 months was 38.9±0.08% for those with dementia and 74.5 ±0.04% for those without dementia. The relative risk associated with dementia was 3.11 (95% confidence interval, 1.79 to 5.41) after adjusting for the effects of demographic factors, cardiac disease, severity of stroke (Barthel Index), stroke type (lacunar versus nonlacunar), and recurrent stroke (examined as a time-dependent variable). When the Mini-Mental State Examination score at baseline was examined instead of the diagnosis of dementia, the results of the model were similar. Conclusions Our study is the first to demonstrate that dementia or cognitive impairment adversely influences longterm survival after stroke, even after adjusting for other commonly accepted predictors of stroke mortality. Impairment in intellectual function after stroke, independent of physical disability, has a significant impact on prognosis. Both cognitive and physical functions should be assessed in clinical studies of stroke outcome.
Fine-grained fault tolerance using device checkpoints

Recovering faults in drivers is difficult compared to other code because their state is spread across both memory and a device. Existing driver fault-tolerance mechanisms either restart the driver and discard its state, which can break applications, or require an extensive logging mechanism to replay requests and recreate driver state. Even logging may be insufficient, though, if the semantics of requests are ambiguous. In addition, these systems either require large subsystems that must be kept up-to-date as the kernel changes, or require substantial rewriting of drivers. We present a new driver fault-tolerance mechanism that provides fine-grained control over the code protected. Fine-Grained Fault Tolerance (FGFT) isolates driver code at the granularity of a single entry point. It executes driver code as a transaction, allowing roll back if the driver fails. We develop a novel checkpointing mechanism to save and restore device state using existing power management code. Unlike past systems, FGFT can be incrementally deployed in a single driver without the need for a large kernel subsystem, but at the cost of small modifications to the driver. In the evaluation, we show that FGFT can have almost zero runtime cost in many cases, and that checkpoint-based recovery can reduce the duration of a failure by 79% compared to restarting the driver. Finally, we show that applying FGFT to a driver requires little effort, and the majority of drivers in common classes already contain the power-management code needed for checkpoint/restore.
Pharmacokinetic-Pharmacodynamic Analysis of Spiroindolone Analogs and KAE609 in a Murine Malaria Model

ABSTRACT Limited information is available on the pharmacokinetic (PK) and pharmacodynamic (PD) parameters driving the efficacy of antimalarial drugs. Our objective in this study was to determine dose-response relationships of a panel of related spiroindolone analogs and identify the PK-PD index that correlates best with the efficacy of KAE609, a selected class representative. The dose-response efficacy studies were conducted in the Plasmodium berghei murine malaria model, and the relationship between dose and efficacy (i.e., reduction in parasitemia) was examined. All spiroindolone analogs studied displayed a maximum reduction in parasitemia, with 90% effective dose (ED90) values ranging between 6 and 38 mg/kg of body weight. Further, dose fractionation studies were conducted for KAE609, and the relationship between PK-PD indices and efficacy was analyzed. The PK-PD indices were calculated using the in vitro potency against P. berghei (2× the 99% inhibitory concentration [IC99]) as a threshold (TRE). The percentage of the time in which KAE609 plasma concentrations remained at >2× the IC99 within 48 h (%T>TRE) and the area under the concentration-time curve from 0 to 48 h (AUC0–48)/TRE ratio correlated well with parasite reduction (R2 = 0.97 and 0.95, respectively) but less so for the maximum concentration of drug in serum (Cmax)/TRE ratio (R2 = 0.88). The present results suggest that for KAE609 and, supposedly, for its analogs, the dosing regimens covering a T>TRE of 100%, AUC0–48/TRE ratio of 587, and a Cmax/TRE ratio of 30 are likely to result in the maximum reduction in parasitemia in the P. berghei malaria mouse model. This information could be used to prioritize analogs within the same class of compounds and contribute to the design of efficacy studies, thereby facilitating early drug discovery and lead optimization programs.
Entropy Encoding EBCOT ( Embedded Block Coding with Optimized Truncation ) In JPEG 2000

JPEG2000 is the new standard for the compression of images, which succeeds to JPEG. It’s has a much higher algorithmic complexity. The complexity of the entropy encoder ( EBCOT) is the most significant in JPEG2000. Which alone constitutes about 70% of the overall processing time for compression of an image. This new standard has many features and characteristics (region of interest, several types of decompression). In this paper we are interested on studying the algorithm of JPEG2000 and the most complex in the JPEG2000 compression process, the EBCOT entropy encoder, and its performance are presented.
Accepted Manuscript Association Between Molecular Subtypes of Colorectal Cancer and Patient Survival

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Analyzing the Deformation of the Left Ventricle of the Heart with a Parametric Deformable Model

We present a new approach to analyze the deformation of the left ventricle of the heart, based on a parametric model that gives a compact representation of a set of points in a 3D image. We present four different approaches to tracking surfaces in a sequence of 3D cardiac images. Following tracking, we then infer quantitative parameters which are useful for the physician, such as the variation of volume and wall thickness during a cardiac cycle, the ejection fraction or the twist component in the deformation of the ventricle. We explicit the computation of these parameters using our model. Experimental results are shown in time sequences of two kinds of medical images, Nuclear Medicine and X-Ray Computed Tomography (CT).
Islanding partition of the distribution system with distributed generations based on Memetic algorithm

A new scheme for the islanding partition of the distribution system with distributed generations (DGs) is proposed in this paper. A bi-objective optimization model is built; the fixed weight approach, fuzzy membership function and Memetic algorithm are employed to solve the islanding problem. The simulations on the American PG&E 69-node distribution system show that the results obtained from the new model and Memetic algorithm can converge to an acceptable result rapidly, and the islands formed by the results possess better power quality than the single objective optimization case. The results of the case study demonstrate that an islanding scheme with good power quality can be obtained by the proposed model and algorithm after the fault occurred in the distribution system.
Interior-Point Gradient Methods with Diagonal-Scalings for Simple-Bound Constrained Optimization

In this paper, we study diagonally scaled gradient methods for simple-bound constrained optimization in a framework almost identical to that for unconstrained optimization, except that iterates are kept within the interior of the feasible region. We establish a satisfactory global convergence theory for such interior-point gradient methods applied to Lipschitz continuously differentiable functions without any further assumption. Moreover, a strong convergence result is obtained for a class of so-called L-nonlinear functions introduced in this paper which includes virtually all nonlinear functions that do not contain linear pieces.
Video Based Face Recognition: A Survey

University of Pune, Pune, India _________________________________________________________________________________________ Abstract: Face recognition is a widely studied topic of all the times. But there are lot many areas that are still to be improved. Video based face recognition is interesting but tough to achieve. There are many methods proposed in past to achieve good and accurate results in VFR’s but at the cost of time, money and lots of human efforts. Over here an effort is made to study all possible methods in the various fields of face recognition especially in Video based face recognition to know there advantages and disadvantages of each of them to know which one is better amongst them having greater accuracy and less complexity, time span and cost.
Effect of Methanolic Leaf Extract of Ocimum basilicum L. on Benzene-Induced Hematotoxicity in Mice

The aim of the present study was to investigate the protective role of methanolic leaf extract of Ocimum basilicum L. against benzene-induced hematotoxicity in Swiss albino mice. GC analysis and subacute toxicity level of the extract were tested. Mice were randomly divided into three groups among which II and III were exposed to benzene vapour at a dose 300 ppm × 6 hr/day × 5 days/week for 2 weeks and group I was control. Group III of this experiment was treated with the leaf methanolic extract at a dose of 100 mg/kg body weight, a dose in nontoxic range. Hematological parameters (Hb%, RBC and WBC counts), cell cycle regulatory proteins expression and DNA fragmentation analysis of bone marrow cells was performed. There was an upregulation of p53 and p21 and downregulation of levels of CDK2, CDK4, CDK6, and cyclins D1 and E in leaf extract-treated group. DNA was less fragmented in group III compared to group II (P < 0.05). The present study indicates that the secondary metabolites of O. basilicum L. methanolic leaf extract, comprising essential oil monoterpene geraniol and its oxidized form citral as major constituents, have modulatory effect in cell cycle deregulation and hematological abnormalities induced by benzene in mice.
Combination of interventional adenovirus-p53 introduction and ultrasonic irradiation in the treatment of liver cancer

The aim of the present study was to investigate the effect of the combination of interventional adenovirus-p53 (Ad-p53) introduction and ultrasonic irradiation (CIAIUI) treatment for liver cancer, including evaluating the Ad-p53 transfection efficiency and the impact of the p53 gene on vascular endothelial growth factor (VEGF) and matrix metalloprotein 2 (MMP2) protein expression levels. Ad-p53 was arterially infused into the hepatic carcinoma via the interventional introduction of the hepatic tumor-bearing artery (IIHTBA) or the CIAIUI. Serum VEGF levels were determined by performing an enzyme-linked immunosorbent assay; immunohistochemical analysis was used to identify the expression levels of intratumoral p53, MMP2 and VEGF; and western blot analysis was used to determine the impact of different Ad-p53 administration methods on the expression of wild-type p53. The wild-type p53 expression level was significantly higher in the p53-treated group compared with the control group, and the p53 expression level in the CIAIUI group was significantly higher compared with the non-irradiation group. The CIAIUI could significantly reduce the serum VEGF levels. The two delivery methods caused a reduction in the intratumoral VEGF and MMP2 expression levels, and the effects of CIAIUI were most obvious. Ad-p53 infusion via IIHTBA promoted the protein expression levels of p53, however, it inhibited the protein expression levels of MMP2 and VEGF, indirectly indicating that the gene may inhibit the growth of liver cancer. Therefore, CIAIUI therapy exhibited an overall improved therapeutic effect compared with the more simple IIHTBA therapy.
Population genetic structure of Bellamya aeruginosa (Mollusca: Gastropoda: Viviparidae) in China: weak divergence across large geographic distances

Abstract Bellamya aeruginosa is a widely distributed Chinese freshwater snail that is heavily harvested, and its natural habitats are under severe threat due to fragmentation and loss. We were interested whether the large geographic distances between populations and habitat fragmentation have led to population differentiation and reduced genetic diversity in the species. To estimate the genetic diversity and population structure of B. aeruginosa, 277 individuals from 12 populations throughout its distribution range across China were sampled: two populations were sampled from the Yellow River system, eight populations from the Yangtze River system, and two populations from isolated plateau lakes. We used seven microsatellite loci and mitochondrial cytochrome oxidase I sequences to estimate population genetic parameters and test for demographic fluctuations. Our results showed that (1) the genetic diversity of B. aeruginosa was high for both markers in most of the studied populations and effective population sizes appear to be large, (2) only very low and mostly nonsignificant levels of genetic differentiation existed among the 12 populations, gene flow was generally high, and (3) relatively weak geographic structure was detected despite large geographic distances between populations. Further, no isolation by linear or stream distance was found among populations within the Yangtze River system and no signs of population bottlenecks were detected. Gene flow occurred even between far distant populations, possibly as a result of passive dispersal during flooding events, zoochoric dispersal, and/or anthropogenic translocations explaining the lack of stronger differentiation across large geographic distances. The high genetic diversity of B. aeruginosa and the weak population differentiation are likely the results of strong gene flow facilitated by passive dispersal and large population sizes suggesting that the species currently is not of conservation concern.
CEMENT PLANT SIMULATION AND DYNAMIC DATA COMMUNICATION USING NI LABVIEW AND MATRIKON OPC

This paper presents a cement plant simulator design d o LabVIEW platform. It generates process data a nd electrical parameters for all the lines of workshop s in the cement industry. The simulated design is universal and applicable to all kinds of cement pla nts. Client-server architecture is established and the generated parameters are communicated to Matrikon O PC client. Single Line Diagram of the electrical distribution of cement plant has also been develope d using MS Visio. An exclusive user interface has b een designed to monitor and analyze the electrical para meters in detail. The KWh/tonne consumption and % energy consumed by the workshops have been observed and tabulated. Also, all the process and electrica l data are exported to NI Citadel Database. So, in a si gle design, all the relevant key performance ind icators (KPI’s) for the process are calculated and displaye d.
A compact DSP core with static floating-point unit & its microcode generation

The multimedia SoC usually integrates programmable digital signal processors (DSP) to accelerate data-intensive computations. But the DSP and the host processor (e.g. ARM) are both designed for standalone uses, and they must have overlapped functionalities and thus some redundant components. In this paper, we propose a compact DSP core for dual-core multimedia SoC and its complete software development tools. The DSP core contains a dataflow engine that is composed of off-the-shelf memory modules with limited ports, and we have investigated software techniques extensively to reduce the hardware complexity as the principles of VLIW processors. Moreover, the DSP is equipped with novel static floating-point units to emulate expensive floating-point DSP operations at low cost. In our experiments, this core has about thrice the performance (estimated in execution cycles) of Analog Devices ADSP-218x with similar computing resources. Our first prototype in the 0.35um CMOS technology operates at 100MHz and consumes 122mW power. The core size is 2.8mm2 including an embedded DMA controller and the AMBA AHB interface.
A Personalized Document Clustering Approach to Addressing Individual Categorization Preferences

As electronic commerce and knowledge economy environments proliferate, both individuals and organizations increasingly generate and consume large amounts of online information, typically available as textual documents. To manage this ever-increasing volume of documents, such individuals and organizations frequently organize their documents into categories that facilitate document management and subsequent information access and browsing. However, document clustering is an intentional act that reflects individual preferences with regard to the semantic coherency and relevant categorization of documents. Hence, effective document clustering must consider individual preferences and needs to support personalization in document categorization. In this paper, we present an automatic document clustering approach that incorporates an individual’s partial clustering as preferential information. Combining two document representation methods with two clustering processes, we establish four personalized document clustering techniques. Using a traditional content-based document clustering technique as a performance benchmark, we find that the proposed personalized document clustering techniques improve clustering effectiveness, as measured by cluster precision and cluster recall.