Miracle-dz/UniFAR-FTUs huggingface dataset:
Massive Data Delivery in Unstructured Peer-to-Peer Networks with Network Coding

With more and more multimedia applications on the Internet, such as IPTV, bandwidth becomes a vital bottleneck for the booming of large scale Internet based multimedia applications. Network coding is recently proposed to take advantage to use network bandwidth efficiently. In this paper, we focus on massive multimedia data, e.g. IPTV programs, transportation in peer-to-peer networks with network coding. By through study of networking coding, we pointed out that the prerequisites of bandwidth saving of network coding are: I) one information source with a number of concurrent receivers, or 2) information pieces cached at intermediate nodes. We further proof that network coding can not gain bandwidth saving at immediate connections to a receiver end; As a result, we propose a novel model for IPTV data transportation in unstructured peer-to-peer networks with network coding. Our preliminary simulations show that the proposed architecture works very well.
An Occluded Face Recognition Approach using Feature Specific KPCA Approach

Facial Recognition is having many challenges along with the application. One of such challenge is facial expression recognition. In this work, feature analysis based hybrid architecture is defined to perform facial expression recognition. The work is divided in two main stags. First to recognize the face itself and later on the recognition of facial expression is performed. In this paper, the feature analysis is performed based on Gabor filter analysis. Once the featured dataset is generated, the recognition is performed using probabilistic neural network and the KPCA approach. The Weighted Eigen distance threshold based analysis is performed to recognize the face as well as the expression. The obtained result shows the accurate detection of face and the expression.
GENIUS II: a high-throughput database system for linking ORFs in complete genomes to known protein three-dimensional structures

GENIUS II is an automated database system in which open reading frames (ORFs) in complete genomes are assigned to known protein three-dimensional (3D) structures. The system uses the multiple intermediate sequence search method in which query and target sequences are linked by intermediate sequences gathered by PSI-BLAST search. By applying the system to 129 complete genomes, 43.8% on average of the ORFs in the genomes were assigned to known 3D structures and the results are available for free at GENIUS II web site.
Identification of Rare Variants in Metabolites of the Carnitine Pathway by Whole Genome Sequencing Analysis

We use whole genome sequence data and rare variant analysis methods to investigate a subset of the human serum metabolome, including 16 carnitine‐related metabolites that are important components of mammalian energy metabolism. Medium pass sequence data consisting of 12,820,347 rare variants and serum metabolomics data were available on 1,456 individuals. By applying a penalization method, we identified two genes FGF8 and MDGA2 with significant effects on lysine and cis‐4‐decenoylcarnitine, respectively, using Δ‐AIC and likelihood ratio test statistics. Single variant analyses in these regions did not identify a single low‐frequency variant (minor allele count > 3) responsible for the underlying signal. The results demonstrate the utility of whole genome sequence and innovative analyses for identifying candidate regions influencing complex phenotypes.
A survey of out-of-core algorithms in numerical linear algebra

This paper surveys algorithms that efficiently solve linear equations or compute eigenvalues even when the matrices involved are too large to fit in the main memory of the computer and must be stored on disks. The paper focuses on scheduling techniques that result in mostly sequential data accesses and in data reuse, and on techniques for transforming algorithms that cannot be effectively scheduled. The survey covers out-of-core algorithms for solving dense systems of linear equations, for the direct and iterative solution of sparse systems, for computing eigenvalues, for fast Fourier transforms, and for N-body computations. The paper also discusses reasonable assumptions on memory size, approaches for the analysis of out-of-core algorithms, and relationships between out-of-core, cache-aware, and parallel algorithms.
Global Epidemiology of Campylobacter Infection

SUMMARY Campylobacter jejuni infection is one of the most widespread infectious diseases of the last century. The incidence and prevalence of campylobacteriosis have increased in both developed and developing countries over the last 10 years. The dramatic increase in North America, Europe, and Australia is alarming, and data from parts of Africa, Asia, and the Middle East indicate that campylobacteriosis is endemic in these areas, especially in children. In addition to C. jejuni, there is increasing recognition of the clinical importance of emerging Campylobacter species, including Campylobacter concisus and Campylobacter ureolyticus. Poultry is a major reservoir and source of transmission of campylobacteriosis to humans. Other risk factors include consumption of animal products and water, contact with animals, and international travel. Strategic implementation of multifaceted biocontrol measures to reduce the transmission of this group of pathogens is paramount for public health. Overall, campylobacteriosis is still one of the most important infectious diseases that is likely to challenge global health in the years to come. This review provides a comprehensive overview of the global epidemiology, transmission, and clinical relevance of Campylobacter infection.
Proprioceptive perception of phase variability.

Previous work has established that judgments of relative phase variability of 2 visually presented oscillators covary with mean relative phase. Ninety degrees is judged to be more variable than 0 degrees or 180 degrees, independently of the actual level of phase variability. Judged levels of variability also increase at 180 degrees. This pattern of judgments matches the pattern of movement coordination results. Here, participants judged the phase variability of their own finger movements, which they generated by actively tracking a manipulandum moving at 0 degrees, 90 degrees, or 180 degrees, and with 1 of 4 levels of Phase Variability. Judgments covaried as an inverted U-shaped function of mean relative phase. With an increase in frequency, 180 degrees was judged more variable whereas 0 degrees was not. Higher frequency also reduced discrimination of the levels of Phase Variability. This matching of the proprioceptive and visual results, and of both to movement results, supports the hypothesized role of online perception in the coupling of limb movements. Differences in the 2 cases are discussed as due primarily to the different sensitivities of the systems to the information.
RECOVERING FACADE TEXTURE AND MICROSTRUCTURE FROM REAL-WORLD IMAGES

We present a set of algorithms that recovers detailed building surface structures from multiple images taken under normal urban conditions, where severe occlusions and lighting variations occur and are difficult to be modeled effectively. An iterative weighted-average algorithm is designed to recover high-quality consensus texture of the wall facades. A generic algorithm is developed to extract the 2D microstructures. Depth is estimated and combined with 2D structures to obtain 3D structures, facilitating urban site model refinement and visualization.
SNC

Mobility support is one of the most challenging issues in IEEE 802.11 networks. In the proactive neighbor caching (PNC) scheme, when a mobile host is connected to an access point (AP), its context (e.g. security association or QoS information) is propagated in advance to all of the AP's neighbors to reduce handoff processing time. In this paper, we propose a selective neighbor caching (SNC) scheme, which propagates a mobile host's context only to the selected neighbor APs considering handoff patterns. Therefore, the SNC scheme can reduce the message overhead on the links among APs. We evaluate the performance of the SNC and PNC schemes in terms of the cache hit probability and the signaling cost. Especially, we investigate the effect of mobility and cache size through extensive simulations. The results reveal that the SNC scheme provides a comparable cache hit probability while significantly reducing the signaling overhead in IEEE 802.11 networks. Moreover, although the SNC propagates relatively a small number of contexts to neighbor APs, the SNC scheme outperforms the PNC scheme when the cache size is small and the mobility is low.
Price, Quality and Reputation: Evidence from an Online Field Experiment

This paper examines the link between price, quality, seller claims and seller reputation in Internet auctions. To obtain a precise measure of quality, we purchased actual baseball cards and have them professionally graded. These cards were systematically purchased so half of the sample came from sellers making high quality claims and the other half from sellers making modest or no claim. We compare the quality data to the prices paid by online buyers for goods with similar claims. We find that some buyers in the online ungraded market are misled by non-credible claims of quality. They pay higher prices but do not receive better quality and in fact are defrauded more often. Online seller reputation is found to be effective for identifying good-faith sellers. But conditional on completed auctions, reputable sellers do not provide better quality. Evidence also suggests that high-claim sellers target less experienced buyers. We attribute these data patterns to misleading signals in the online ungraded market and two loopholes in the eBay rating system, namely universal ratings and costless switching of anonymous identities.
Pipeline of Successive Approximation Converters with Optimum Power Merit Factor

In this paper, we present a low power 12 bit 5 MSPS, successive approximation converter architecture using pipeline technique. The converter consumes 4 mW at the Nyquist rate input with 1.8 V power supply. By combination of pipeline and successive architecture, the entire circuit, simulated at the transistor level in a 0.18 μ CMOS process, achieves a FoM (Figure of Merit) of 0.19 pJ/conversion.
Hypercalcemia and osteolytic lesions as presenting symptoms of acute lymphoblastic leukemia in childhood. The use of zoledronic acid and review of the literature

Abstract Hypercalcemia is rare in children with etiology different from adults. We report an 11.5-year-old boy with developmental delay that presented with difficulty in walking and vomiting. Laboratory investigations revealed hypercalcemia (Ca 13.8 mg/dL) with low serum parathormone, normal full blood count and no circulating blasts. Osteolytic lesions were discovered on radiological survey. Bone marrow examination was consistent with the diagnosis of common B acute lymphoblastic leukemia (ALL). Hypercalcemia was successfully treated with zoledronic acid. Hypercalcemia is a rare but well-recognized complication of ALL, usually present at the time of initial diagnosis. We reviewed the literature and analyzed the clinical and laboratory data in 36 cases of childhood ALL presenting with hypercalcemia. In conclusion, hypercalcemia alone or combined with osteolytic lesions can be the only presenting symptom of ALL in children.
Weighted wrist cuffs for tremor reduction during eating in adults with static brain lesions.

OBJECTIVE This study examined whether weighting the forearm during feeding decreased tremors and increased functional feeding in adults with intention tremor caused by static brain lesions. METHOD Five individuals with various diagnoses, ages 30-81, were videotaped during 8 or 16 meal sessions, alternating treatment and control conditions within each meal. In this single-case design, treatment consisted of application of a weighted fabric wrist cuff and the baseline (control) condition employed an identical cuff with the weights removed. Dependent variables studied were time to acquire and deliver a bite, grams of food eaten, number of times food was spilled, number of times a compensatory technique was used, participant self-rating, and investigator rating of the severity of the tremor. RESULTS All five participants demonstrated improvement during treatment in one or more of the dependent variables. t Tests of the means of baseline and treatment half-sessions incorporating conservative control of Type I error revealed the following statistically significant improvements under the weighted condition: Participants 3, 4, and 5 took less time to acquire a bite; Participants 4 and 5 made fewer spills; Participants 3 and 5 showed a diminished tremor. There were no statistically significant decreases in function on any variable for any participants during the weighted condition. CONCLUSION The application of weight to the wrist of a person with upper-extremity tremor is accompanied by some functional improvement in self-feeding for some individuals. The size of benefit seems to be sensitive to the amount of weight used.
Konrad-zuse-zentrum F ¨ Ur Informationstechnik Berlin Models and Solution Techniques for Frequency Assignment Problems Models and Solution Techniques for Frequency Assignment Problems

Wireless communication is used in many different situations such as mobile telephony, radio and TV broadcasting, satellite communication, and military operations. In each of these situations a frequency assignment problem arises with application specific characteristics. Researchers have developed different modeling ideas for each of the features of the problem, such as the handling of interference among radio signals, the availability of frequencies, and the optimization criterion. This survey gives an overview of the models and methods that the literature provides on the topic. We present a broad description of the practical settings in which frequency assignment is applied. We also present a classification of the different models and formulations described in the literature, such that the common features of the models are emphasized. The solution methods are divided in two parts. Optimization and lower bounding techniques on the one hand, and heuristic search techniques on the other hand. The literature is classified according to the used methods. Again, we emphasize the common features, used in the different papers. The quality of the solution methods is compared, whenever possible, on publicly available benchmark instances. Research carried out with financial support of the project TMR-DONET nr. ERB FMRX-CT98-0202 of the European Community.
Refine Quantitative Precision of each Hypothesis Generate Children Hypotheses Evaluate Hypotheses using a Bayesian Filter Extract

A common approach to scene understanding generates a set of structural hypotheses and evaluates these hypotheses using visual features that are easy to detect. However, these features may not necessarily be the most informative features to discriminate among the hypotheses. This paper demonstrates that by focusing attention on regions where the hypotheses differ in how they explain the visual features, we can then evaluate those hypotheses more efficiently. We define the informativeness of each feature based on the expected information gain that the feature provides to the current set of hypotheses, and demonstrate how these informative features can be selected efficiently. We evaluate our attention focusing method on a Bayesian filter-based approach to scene understanding. Our experimental results demonstrate that by focusing attention on the most informative point features, the Bayesian filter converges to a single hypothesis more efficiently, with no loss of accuracy.
He-P2012: Architectural heterogeneity exploration on a scalable many-core platform

Architectural heterogeneity is a promising solution to overcome the utilization wall and provide Moore's Law-like performance scaling in future SoCs. However, heterogeneous architectures increase the size and complexity of the design space along several axes: granularity of the heterogeneous processors, coupling with the software cores, communication interfaces, etc. As a consequence, significant enhancements are required to tools and methodologies to explore the huge design space effectively. In this work, we provide three main contributions: first, we describe an extension to the STMicroelectronics P2012 platform to support tightly-coupled shared memory HW processing elements (HWPE), along with our changes to the P2012 simulation flow to integrate this extension. Second, we propose a novel methodology for the semi-automatic definition and instantiation of HWPEs from a C program based on a interface description language. Third, we explore several architectural variants on a set of benchmarks originally developed for the homogeneous version of P2012, achieving up to 123x speedup for the accelerated code region (~98% of the Amdahl limit for the whole application), thereby demonstrating the efficiency of tightly memory-coupled hardware acceleration.
BodyResT : a prototype using music responding to heart rate for stress reduction

The growing problem of stress in our society has provided greater motivation to seek stress solutions. This health threat demands a fresh thinking and exploration of new ways to find solutions. Music has in several studies been suggested to have a stress reducing effect. This report describes the development of a prototype that uses music to step by step help an individual to reduce stress. This is done by a combination of relaxing music and the biofeedback principle. The prototype estimates the individuals stress level by monitoring heart rate. On the basis of senor readings music is composed in real time to match the stress level. In that way a feedback loop is created where the individuals current stress level is reflected in the music. The music does not change from one song to the other; rather different parameters in the music are continuously changed such as tempo and instrumentation. The report also includes a literature study examining heart rate as a valid stress indicator. This literature study is also complemented with an experimental study. In this study 14 participants, 7 males and 7 females, age between 21 and 54, were exposed to three different mental stressors separated with three minutes of relaxation. A version of Stroop color word test, a mental arithmetic task and a talk preparation. Heart rate was measured and the subjective estimation of stress level was given by the subjects before the first stressor, after each stressor and after each period of relaxation. A significant increase of heart rate (~10 bpm in mean) was detected in the end of each stressor compared to the periods of relaxation. The important conclusion with the studies is that heart rate is a valid mental stress indicator, but the reliability is low since heart rate is influenced by many other factors than mental stress. In future development of BodyResT heart rate must be complemented with one or several other physiological parameters such as heart rate variability and skin conductance.
Glioma Association and Balancing Selection of ZFPM2

ZFPM2, encoding a zinc finger protein and abundantly expressed in the brain, uterus and smooth muscles, plays important roles in cardiac and gonadal development. Abnormal expression of ZFPM2 in ovarian tumors and neuroblastoma has been reported but hitherto its genetic association with cancer and effects on gliomas have not been studied. In the present study, the hexamer insertion-deletion polymorphism rs71305152, located within a large haplotype block spanning intron 1 to intron 3 of ZFPM2, was genotyped in Chinese cohorts of glioma (n = 350), non-glioma cancer (n = 354) and healthy control (n = 463) by direct sequencing and length polymorphism in gel electrophoresis, and ZFPM2 expression in glioma tissues (n = 69) of different grades was quantified by real-time RT-PCR. Moreover, potential natural selection pressure acting on the gene was investigated. Disease-association analysis showed that the overall genotype of rs71305152 was significantly associated with gliomas (P = 0.016), and the heterozygous genotype compared to the combined homozygous genotypes was less frequent in gliomas than in controls (P = 0.005) or non-glioma cancers (P = 0.020). ZFPM2 mRNA expression was negatively correlated with the grades of gliomas (P = 0.002), with higher expression levels in the low-grade gliomas. In the astrocytoma subtype, higher ZFPM2 expression was also correlated with the rs71305152 heterozygous genotype (P = 0.028). In addition, summary statistics tests gave highly positive values, demonstrating that the gene is under the influence of balancing selection. These findings suggest that ZFPM2 is a glioma susceptibility gene, its genotype and expression showing associations with incidence and severity, respectively. Moreover, the balancing selection acting on ZFPM2 may be related to the important roles it has to play in multiple organ development or associated disease etiology.
Providing database-like access to the Web using queries based on textual similarity

Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of heterogeneous databases has assumed that local name constants can be mapped into an appropriate global domain by normalization. Here we assume instead that the names are given in natural language text. We then propose a logic for database integration called WHIRL which reasons explicitly about the similarity of local names, as measured using the vector-space model commonly adopted in statistical information retrieval. An implemented data integration system based on WHIRL has been used to successfully integrate information from several dozen Web sites in two domains.
Fluconazole versus an echinocandin for Candida glabrata fungaemia: a retrospective cohort study.

OBJECTIVES We studied whether fluconazole or echinocandin treatment of Candida glabrata fungaemia results in superior outcomes. METHODS A multicentre, retrospective study was performed with 224 adult patients who received ≥ 5 days of therapy with either fluconazole or an echinocandin as their first antifungal treatment after collection of a blood culture that grew C. glabrata. The primary outcome was day 14 complete response. RESULTS Patients in the echinocandin group were generally more ill, both at baseline and at the time of the index culture. Day 14 complete response was obtained in 58/127 (46%) and 50/97 (52%) of the fluconazole and echinocandin patients, respectively (P=0.383). Logistic regression found intensive care unit admission to be associated with failure [OR 0.456 (0.217-0.957), P=0.038] and echinocandin therapy to be associated with day 14 complete response [OR 2.305 (1.124-4.727), P=0.023]. Twenty-eight day survival was similar between the fluconazole and echinocandin groups and logistic regression did not reveal antifungal therapy choice to be independently predictive of mortality. For patients treated with fluconazole, a dose:MIC ratio >12.5 (when compared with a ratio ≤ 12.5) was associated with a significantly higher day 14 complete response [4/20 (20%) ≤ 12.5 versus 50/102 (49%) >12.5, P=0.025]. CONCLUSIONS Severity of illness and choice of antifungal predict response in patients with C. glabrata fungaemia. Antifungal choice, however, does not influence mortality. In addition, new CLSI C. glabrata fluconazole susceptibility breakpoints are predictive of response when fluconazole is dosed appropriately.