Miracle-dz/UniFAR-FTUs huggingface dataset:
Propulsion systems for micro-Autonomous Underwater Vehicles (μAUVs)

The development of small-scale sensor platforms for the internal monitoring of aqueous processes creates a range of challenges in terms of the provision of mobility. De-coupled x-y plane and z-axis movement, the need for low power consumption and a minimum of 4 degrees of freedom means that the suitability of conventional propulsion systems needs to be investigated. This paper presents a brief summary and comparison of the available propulsion options. Propellers have been chosen as the best means of propulsion and a novel approach to modeling and selection of both motors and propellers is given. The thruster configuration and initial mechanical designs for a μAUV are also outlined.
De Novo Transcriptome Assembly from Inflorescence of Orchis italica: Analysis of Coding and Non-Coding Transcripts

The floral transcriptome of Orchis italica, a wild orchid species, was obtained using Illumina RNA-seq technology and specific de novo assembly and analysis tools. More than 100 million raw reads were processed resulting in 132,565 assembled transcripts and 86,079 unigenes with an average length of 606 bp and N50 of 956 bp. Functional annotation assigned 38,984 of the unigenes to records present in the NCBI non-redundant protein database, 32,161 of them to Gene Ontology terms, 15,775 of them to Eukaryotic Orthologous Groups (KOG) and 7,143 of them to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The in silico expression analysis based on the Fragments Per Kilobase of transcript per Million mapped reads (FPKM) was confirmed by real-time RT-PCR experiments on 10 selected unigenes, which showed high and statistically significant positive correlation with the RNA-seq based expression data. The prediction of putative long non-coding RNAs was assessed using two different software packages, CPC and Portrait, resulting in 7,779 unannotated unigenes that matched the threshold values for both of the analyses. Among the predicted long non-coding RNAs, one is the homologue of TAS3, a long non-coding RNA precursor of trans-acting small interfering RNAs (ta-siRNAs). The differential expression pattern observed for the selected putative long non-coding RNAs suggests their possible functional role in different floral tissues.
Comparison of BRCA1 Expression between Triple-Negative and Luminal Breast Tumors

Background: Previous studies have suggested that BRCA1 dysregulation has been shown to have a role in triple-negative phenotypic manifestation. However, differences of BRCA1 expression, as a tumor suppressor gene, have rarely been investigated between luminal and triple-negative breast tumors. Therefore, the present study attempted to compare the BRCA1 expression in triple-negative with luminal breast tumors and its association with the clinicopathologic characteristics of patients. Methods: BRCA1 expression was evaluated by real-time PCR in 26 triple-negative and 27 luminal breast tumors. Results: The results revealed that there is a high frequency of BRCA1 underexpression in both triple-negative and luminal breast tumors. The BRCA1 underexpression was related to young age at diagnosis, lymph node involvement, and grade III tumors. Conclusion: The observations suggest that decreased BRCA1 expression, regardless of tumor subtype, has a general role in breast malignancy and associated with poor prognostic features in breast tumors.
On Statistical Machine Translation and Translation Theory

The translation process in statistical machine translation (SMT) is shaped by technical constraints and engineering considerations. SMT explicitly models translation as search for a target-language equivalent of the input text. This perspective on translation had wide currency in mid-20th century translation studies, but has since been superseded by approaches arguing for a more complex relation between source and target text. In this paper, we show how traditional assumptions of translational equivalence are embodied in SMT through the concepts of word alignment and domain and discuss some limitations arising from the word-level/corpus-level dichotomy inherent in these concepts.
Advance in Rehabilitation of Upper Limb Function in Hemiplegic Patients after Stroke (review)

The incidence of upper limb dysfunction of stroke patients was high,and the recovery was difficult,which seriously impacted their activities of daily living and quality of life.This article reviewed the new techniques and methods for hemiplegic patients after stroke.The main techniques and methods includeed bilateral isokine-matic training,mirror neuron system,gymnastics rods training,music therapy,motor imagery,upper limb rehabilitation robot,virtual reality,constraint induced movement therapy,functional electrostimulation,electromyographic biofeedback therapy,transcranial magnetic stimulation,neurophyisological therapy and so on.
Multimedia Communications ( WPMC 2008 ) APPROXIMATE CHANNEL CAPACITY OF MC-CDMA MIMO

Multi-carrier code division multiple access (MC-CDMA) is a promising multiple access scheme. An extremely high spectrum efficient transmission technique is required in future wireless communication systems. The use of multiple-input multiple-output (MIMO) space division multiplexing (SDM) is essential to achieve a very high speed data transmission with a limited bandwidth. In this paper, we derive a simple approximate capacity formula for MC-CDMA MIMO-SDM assuming perfect inter-code interference cancellation (ICIC).
Software-Based Self-Test of Set-Associative Cache Memories

Embedded microprocessor cache memories suffer from limited observability and controllability creating problems during in-system tests. This paper presents a procedure to transform traditional march tests into software-based self-test programs for set-associative cache memories with LRU replacement. Among all the different cache blocks in a microprocessor, testing instruction caches represents a major challenge due to limitations in two areas: 1) test patterns which must be composed of valid instruction opcodes and 2) test result observability: the results can only be observed through the results of executed instructions. For these reasons, the proposed methodology will concentrate on the implementation of test programs for instruction caches. The main contribution of this work lies in the possibility of applying state-of-the-art memory test algorithms to embedded cache memories without introducing any hardware or performance overheads and guaranteeing the detection of typical faults arising in nanometer CMOS technologies.
Autonomous Local Coordination Technology for Congestion Control in Wireless Sensor Networks

Most of the indoor wireless sensor networks need timely information from sensors during normal and specially emergency situation. Generally a sensor network is designed with sufficient capacity to meet the requirement in normal situation. The design consideration also includes the emergency situation to support up to certain level of emergency. But the emergency situation is unpredictable and difficult to predict the level of the emergency. On the other hand in emergency situation timely information is more important for the system. Moreover extra messages are necessary to transmit from sink node to emergency areas during the emergency situation to control the emergency fault. This article discusses about the timely message transmission in an indoor wireless sensor networks during normal operation and emergency situation. In this paper we adopt a Heterogeneous Sensor Network (HSN) model for the system. We propose a new technology to achieve the timeliness in message transmission in the network. The propose technology uses local coordination to switch connected sensors to control the congestion of the network for timeliness. The simulation results show that the proposed technology effectively solves the timeliness problem.
Juggler: a practical reordering resilient network stack for datacenters

We present Juggler, a practical reordering resilient network stack for datacenters that enables any packet to be sent on any path at any level of priority. Juggler adds functionality to the Generic Receive Offload layer at the entry of the network stack to put packets in order in a best-effort fashion. Juggler's design exploits the small packet delays in datacenter networks and the inherent burstiness of traffic to eliminate the negative effects of packet reordering almost entirely while keeping state for only a small number of flows at any given time. Extensive testbed experiments at 10Gb/s and 40Gb/s speeds show that Juggler is effective and lightweight: it prevents performance loss even with severe packet reordering while imposing low CPU overhead. We demonstrate the use of Juggler for per-packet multi-path load balancing and a novel system that provides bandwidth guarantees by dynamically prioritizing packets.
Post-Pandemic Seroprevalence of Pandemic Influenza A (H1N1) 2009 Infection (Swine Flu) among Children <18 Years in Germany

Background We determined antibodies to the pandemic influenza A (H1N1) 2009 virus in children to assess: the incidence of (H1N1) 2009 infections in the 2009/2010 season in Germany, the proportion of subclinical infections and to compare titers in vaccinated and infected children. Methodology/Principal Findings Eight pediatric hospitals distributed over Germany prospectively provided sera from in- or outpatients aged 1 to 17 years from April 1st to July 31st 2010. Vaccination history, recall of infections and sociodemographic factors were ascertained. Antibody titers were measured with a sensitive and specific in-house hemagglutination inhibition test (HIT) and compared to age-matched sera collected during 6 months before the onset of the pandemic in Germany. We analyzed 1420 post-pandemic and 300 pre-pandemic sera. Among unvaccinated children aged 1–4 and 5–17 years the prevalence of HI titers (≥1∶10) was 27.1% (95% CI: 23.5–31.3) and 53.5% (95% CI: 50.9–56.2) compared to 1.7% and 5.5%, respectively, for pre-pandemic sera, accounting for a serologically determined incidence of influenza A (H1N1) 2009 during the season 2009/2010 of 25,4% (95% CI : 19.3–30.5) in children aged 1–4 years and 48.0% (95% CI: 42.6–52.0) in 5–17 year old children. Of children with HI titers ≥1∶10, 25.5% (95% CI: 22.5–28.8) reported no history of any infectious disease since June 2009. Among vaccinated children, 92% (95%-CI: 87.0–96.6) of the 5–17 year old but only 47.8% (95%-CI: 33.5–66.5) of the 1–4 year old children exhibited HI titers against influenza A virus (H1N1) 2009. Conclusion Serologically determined incidence of influenza A (H1N1) 2009 infections in children indicates high infection rates with older children (5–17 years) infected twice as often as younger children. In about a quarter of the children with HI titers after the season 2009/2010 subclinical infections must be assumed. Low HI titers in young children after vaccination with the AS03B-adjuvanted split virion vaccine need further scrutiny.
The Performance and Reliability of PMOSFET ’ s with Ultrathin Silicon Nitride / Oxide Stacked Gate Dielectrics with Nitrided Si-SiO 2 Interfaces Prepared by Remote Plasma Enhanced CVD and Post-Deposition Rapid Thermal Annealing

Ultrathin ( 1.9 nm) nitride/oxide (N/O) dual layer gate dielectrics have been prepared by the remote plasma enhanced chemical vapor deposition (RPECVD) of Si3N4 onto oxides. Compared to PMOSFET’s with heavily doped p-poly-Si gates and oxide dielectrics, devices incorporating the RPECVD stacked nitrides display reduced tunneling current, effectively no boron penetration and improved interface characteristics. By preventing boron penetration into the bulk oxide and channel region, gate dielectric reliability and short channel effects are significantly improved. The hole mobility in devices with N/O dielectrics with equivalent oxide thickness between 1.8 nm and 3.0 nm is not significantly degraded. Because nitrogen is transported to the substrate/dielectric interface during post-deposition annealing, degradation of mobility during hot carrier stressing is significantly reduced for N/O devices. Compared with oxide, the tunneling current for N/O films with 1.9 nm equivalent oxide thickness is lower by about an order of magnitude due to the larger physical thickness. Suppression of boron transport in nitride layers is explained by a percolation model in which boron transport is blocked in sufficiently thick nitrides, and is proportional to the oxide fraction in oxynitride alloys.
Causes for causatives: the case of Dutch doen and laten

Throughout its recent history, mainstream linguistics has aspired to the uncontroversial legitimacy of the hard sciences: the Chomskyan statement that linguistics is a branch of theoretical biology is a claim to status just as much as it is a demarcation of a domain of enquiry. However, it is only in the last decades that linguistics has seriously begun to follow the most directly obvious way towards substantiating that claim: that of applying the scientific method. That is still far from being the dominant approach: in the context of Cognitive Linguistics for instance (the framework with which we are most familiar), meta-theoretical pleas for adopting the scientific method (Geeraerts 2006, Gibbs 2007, Gries 2006) contrast with nuanced but straightforward defenses of an introspective method, like Talmy (2007).
Proposal of LDA-Based Sentiment Visualization of Hotel Reviews

With the growth of user generated contents (UGC), it is important to know consumers' opinions about features or deficiencies of products quickly. Such information is important not only for companies, but also for consumers. Keyword-based visualization and clustering are effective methods to observe summary of opinions. In order to decrease users' effort in examining vast amount of UGC, we proposed an interactive visualization system that presents sentiment words with aspects based on natural language processing and sentiment lexicon. This paper also proposes to apply latent Dirichlet allocation (LDA) to cluster reviews into several topics in order to improve understandability of visualization. This paper explains the developed system with case studies.
Stochastic perceptual models of speech

We have developed a statistical model of speech (based on auditory perceptual criteria) that avoids a number of current constraining assumptions for statistical speech recognition systems, particularly the model of speech as a sequence of stationary segments consisting of uncorrelated acoustic vectors. We further wish to focus statistical modeling power on perceptually-dominant and information-rich portions of the speech signal, which may also be the parts of the speech signal with a better chance to withstand adverse acoustical conditions. We describe some of the theory, along with some preliminary experiments. These experiments suggest that the regions of acoustic signal containing significant spectral change are critical to the recognition of continuous speech.
Value-based management control processes to create value through integration: a literature review

In the last decades, management accounting faced increasing challenges to adopt new approaches, designed to fit the changes in the economic environment and to correct perceived inefficiencies in existing controlling structures. This paper focuses on one of those recent developments, viz. value-based management (VBM). Since VBM is claimed to be changing financial management at the highest level in some of the world's largest companies, this literature review compares the value-based management approaches of six consultants, viz. Stern Stewart & Co, Marakon Associates, McKinsey & Co, PriceWaterhouseCoopers, L.E. K. Consulting and HOLT Value Associates and tries to assess the potential of their management frameworks.Value-based management can be defined as an integrated management control system that measures, encourages and supports the creation of net worth. Although VBM is more than metrics, we first focused on a non-exhaustive number of value-based metrics, divided in two segments, the listed perspective-segment and the non-listed perspective. Since metrics are a means and not the goal of a VBM-program, we compared not only the metrics used by the six consultants, but also analysed their value-based management constructs as a whole. This analysis was based on the fundamental components of a holistic VBM-program, as defined by several researches on value-based management. This comparison revealed some clear similarities between the approaches, but also demonstrates distinctions and different accents. There is for instance a clear unanimity about the focus on maximizing shareholder value, about the conviction that the interests of all stakeholder groups are best served when putting the shareholder first and about the impact of value-based management on collaboration. Notwithstanding the similarities, they all six suggest using different types of measures, combine different systems and processes, have other views on strategy development and advocate their own training & education program.
2th International Symposium on Flow Visualization

1 ABSTRACT The two dimensional Molecular Tagging Velocimetry (2D-MTV) was used to measure velocity fields of the flow in a micro mixer. Instead of commonly used micro particles an optical tagging of the flow is performed by using a special dye. The flow induces a deformation of the optically written pattern that can be tracked by laser induced fluorescence. The series of raw images gained this way were analyzed and quantified by the " method of the optical flow ". Reference measurements have been carried out to allow conclusions about the accuracy of this procedure. In addition a quantitative visualization of concentration fields of different fluids that participate in the mixing process of a microfluidic system was enabled by Planar Spontaneous Raman Scattering (PSRS). It was utilized that different species of molecules are distinguishable from another by their characteristic " spectral fingerprints " (their Raman spectra). The Raman stray light of the relevant species was spectrally selected by a narrow bandpass filter and thus detected unaffectedly by the Raman stray light of other species. The successful operation of this measurement procedure in micro flows will be demonstrated exemplary for a mixing process of water and ethanol.
A System for Personality and Happiness Detection

This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), and classifying them into different personality categories. Although there is not a clear link between personality features and happiness, some correlations between them could be found in the future. In this work, we describe the platform developed, and as a proof of concept, we have used different sources of messages to see if common machine learning algorithms can be used for classifying different personality features and happiness.
Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation

An important aim of an analysis pipeline for magnetoencephalographic (MEG) data is that it allows for the researcher spending maximal effort on making the statistical comparisons that will answer his or her questions. The example question being answered here is whether the so-called beta rebound differs between novel and repeated stimulations. Two analyses are presented: going from individual sensor space representations to, respectively, an across-group sensor space representation and an across-group source space representation. The data analyzed are neural responses to tactile stimulations of the right index finger in a group of 20 healthy participants acquired from an Elekta Neuromag System. The processing steps covered for the first analysis are MaxFiltering the raw data, defining, preprocessing and epoching the data, cleaning the data, finding and removing independent components related to eye blinks, eye movements and heart beats, calculating participants' individual evoked responses by averaging over epoched data and subsequently removing the average response from single epochs, calculating a time-frequency representation and baselining it with non-stimulation trials and finally calculating a grand average, an across-group sensor space representation. The second analysis starts from the grand average sensor space representation and after identification of the beta rebound the neural origin is imaged using beamformer source reconstruction. This analysis covers reading in co-registered magnetic resonance images, segmenting the data, creating a volume conductor, creating a forward model, cutting out MEG data of interest in the time and frequency domains, getting Fourier transforms and estimating source activity with a beamformer model where power is expressed relative to MEG data measured during periods of non-stimulation. Finally, morphing the source estimates onto a common template and performing group-level statistics on the data are covered. Functions for saving relevant figures in an automated and structured manner are also included. The protocol presented here can be applied to any research protocol where the emphasis is on source reconstruction of induced responses where the underlying sources are not coherent.
The impact of L2 German on component processes of reading

Background In Germany, there is a substantial gap in reading literacy between monolingual children and their L2-speaking peers. Nevertheless, it is still unclear where these performance differences are rooted. Methods We investigated children of grades 5, 6 and 7 with comparable socio-economic status, who completed a battery of tests assessing their linguistic and executive functioning skills as well as their reading performance on the letter, word, sentence and text level. Results Whereas L1 speakers showed better linguistic skills, there was no difference between groups in executive functioning. After controlling for individual differences on each level of reading, groups only differed in text comprehension. This effect, however, disappeared when participants' linguistic skills were additionally controlled. Conclusions In sum, results show that reading problems in L2 speakers cannot be attributed to deficits on specific component processes of reading, but to a lack of linguistic skills, which negatively affects reading comprehension.
A Method of Capturing Product Data Semantics By Building Engineering Ontology

The primary objective of this paper is to conceptualize and develop an approach to capture product data semantics for the integration of engineering applications in a design/analysis domain by building engineering ontologies and metadata. In this paper, we introduce our method of building ontologies, and using metadata to link product data to the concepts in ontologies. We present a method of capturing product data semantics to be utilized in a CAD/CAE integration framework. An example is also given to show how product data semantics is captured from applications in different domains. This is work in progress