Miracle-dz/UniFAR-FTUs huggingface dataset:
A diagnosis algorithm for extreme space compaction

During volume testing, test application time, test data volume and high performance automatic test equipment (ATE) are the major cost factors. Embedded testing including built-in self-test (BIST) and multi-site testing are quite effective cost reduction techniques which may make diagnosis more complex. This paper presents a test response compaction scheme and a corresponding diagnosis algorithm which are especially suited for BIST and multi-site testing. The experimental results on industrial designs show, that test time and response data volume reduces significantly and the diagnostic resolution even improves with this scheme. A comparison with X-Compact indicates, that simple parity information provides higher diagnostic resolution per response data bit than more complex signatures.
Lipofuscin redistribution and loss accompanied by cytoskeletal stress in retinal pigment epithelium of eyes with age-related macular degeneration.

PURPOSE Lipofuscin (LF) and melanolipofuscin (MLF) of the retinal pigment epithelium (RPE) are the principal sources of autofluorescence (AF) signals in clinical fundus-AF imaging. Few details about the subcellular distribution of AF organelles in AMD are available. We describe the impact of aging and AMD on RPE morphology revealed by the distribution of AF LF/MLF granules and actin cytoskeleton in human tissues. METHODS Thirty-five RPE-Bruch's membrane flatmounts from 35 donors were prepared (postmortem: ≤4 hours). Ex vivo fundus examination at the time of accession revealed either absence of chorioretinal pathologies (10 tissues; mean age: 83.0 ± 2.6 years) or stages of AMD (25 tissues; 85.0 ± 5.8 years): early AMD, geographic atrophy, and late exudative AMD. Retinal pigment epithelium cytoskeleton was labeled with AlexaFluor647-Phalloidin. Tissues were imaged on a spinning-disk fluorescence microscope and a high-resolution structured illumination microscope. RESULTS Age-related macular degeneration impacts individual RPE cells by (1) lipofuscin redistribution by (i) degranulation (granule-by-granule loss) and/or (ii) aggregation and apparent shedding into the extracellular space; (2) enlarged RPE cell area and conversion from convex to irregular and sometimes concave polygons; and (3) cytoskeleton derangement including separations and breaks around subretinal deposits, thickening, and stress fibers. CONCLUSIONS We report an extensive and systematic en face analysis of LF/MLF-AF in AMD eyes. Redistribution and loss of AF granules are among the earliest AMD changes and could reduce fundus AF signal attributable to RPE at these locations. Data can enhance the interpretation of clinical fundus-AF and provide a basis for future quantitative studies.
Comparing Personal Image Collections with PICTuReVis

Digital image collections contain a wealth of information, which for instance can be used to trace illegal activities and investigate criminal networks. We present a method that enables analysts to reveal relations among people, based on the patterns in their collections. Similar temporal and spatial patterns can be found using a parameterized algorithm, visualization is used to choose the right parameters and to inspect the patterns found. The visualization shows relations between image properties: the person it belongs to, the concepts in the image, its time stamp and location. We demonstrate the method with image collections of 10, 000 people containing 460, 000 images in total.
On Limits and Possibilities of Automated Protocol Analysis

It is not likely that many traveling salesmen can be discouraged from their job by a lecture on its complexity [9]. Not surprisingly, writers of automated protocol analyzers are much the same. The problem of determining whether an arbitrary message passing system contains deadlocks is PSPACE-complete at best (for bounded queue lengths) [7-9]. Yet for any given formal analysis model it is easy to derive state space exploration routines that can find such errors with certainty – given a sufficient amount of time and space. In practice, therefore, one of the main problems is to optimize the speed and memory usage of an automated validator. To phrase it differently: it is not hard to validate protocols, it is hard to do it (sufficiently) fast. In reachability analyses, the limits of what can be analyzed in practice can be moved substantially if the traditional finite state machine model is abandoned. To illustrate this, we introduce a simple symbolic execution method based on vector addition. It is extended into a full protocol validator, carefully avoiding known performance bottlenecks. Compared with previous methods the performance of this validator is roughly two orders of magnitude in speed faster and allows validation of protocol systems up to 10 6 states in only minutes of CPU time on a medium size computer.
Frontal Theta Band Oscillations Predict Error Correction and Posterror Slowing in Typing

Performance errors are associated with robust behavioral and electroencephalography (EEG) effects. However, there is a debate about the nature of the relationship between these effects and implicit versus explicit error awareness. Our aim was to study the relationship between error related electrophysiological effects, such as spectral perturbations in fronto-medial theta band oscillations (FMT), and error awareness in typing. Typing has an advantage as an experimental paradigm in that detected errors are quickly and habitually signaled by the participant using backspace, allowing separation of detected from undetected errors without interruption in behavior. Typing is thought to be controlled hierarchically via inner and outer loops, which rely on different sources for error detection. Touch-typist participants were asked to copy-type 100 sentences as EEG was recorded in the absence of visual feedback. Continuous EEG data were analyzed using independent component analysis (ICA). Time-frequency and ERP analyses were applied to emergent independent components. The results show that single-trial FMT parameters and error related negativity (ERN) amplitude predict overt, adaptive posterror actions such as error correction via backspace; and, posterror slowing, reflecting implicit error awareness. In addition, we found that those uncorrected errors which were slowed down the most were also the ones associated with a high level of FMT activity. Our results as a whole show that FMT are related to neural mechanisms involved in explicit awareness of errors, and input from inner loop is sufficient for error correction in typing.
Activity classification using a smartphone

The physical monitorization using dedicated devices is becoming an everyday routine for an increasing number of people. The information provided by accelerometers enables the creation of a diary of the performed activities, and the determination of their intensity. The aim of this study is to evaluate the potentiality of the smartphone's accelerometer to perform such an activity. We developed an application to capture the signal from the smartphone's accelerometer, when it is positioned along the waist in the front pocket of an individual, in an attempt to create the most natural conditions possible. The study explored features extracted in both time and frequency domain, and parametric and non-parametric classifiers. Preliminary results demonstrate that the classification of activities can be done with remarkable accuracy (> 95%).
AIS Electronic Library (AISeL)

The success of the Enterprise 2.0 KMS (knowledge management systems) depends on the user’s continuous participation in the process of knowledge sharing. This study attempts to identify the determinants of the user’s intention to continuous knowledge sharing based on Expectation Confirmation Theory and Channel Expansion Theory. We also consider communication process modes (i
A new phenolic glycoside from Juglans mandshurica

A new phenolic glycoside, 6-O-(4′-hydroxy-3′,5′-dimethoxybenzoyl)-d-glucopyranose (4), and nine known compounds (1–3 and 5–10) were isolated from Juglans mandshurica Maxim. Compound structures were elucidated by NMR, HR-ESI-MS and acid hydrolysis. Compounds 5 and 6 are reported from this genus for the first time. Among compounds 1–10, only 1 exhibited cytotoxicity against MGC-803, A549, K562, JAR, HeLa, CaSKi and SiHa cell lines (IC50: 2.0, 5.3, 2.3, 6.9, 4.0, 6.6 and 2.7 μM, respectively).
Simultaneous Genome-Wide Inference of Physical, Genetic, Regulatory, and Functional Pathway Components

Biomolecular pathways are built from diverse types of pairwise interactions, ranging from physical protein-protein interactions and modifications to indirect regulatory relationships. One goal of systems biology is to bridge three aspects of this complexity: the growing body of high-throughput data assaying these interactions; the specific interactions in which individual genes participate; and the genome-wide patterns of interactions in a system of interest. Here, we describe methodology for simultaneously predicting specific types of biomolecular interactions using high-throughput genomic data. This results in a comprehensive compendium of whole-genome networks for yeast, derived from ∼3,500 experimental conditions and describing 30 interaction types, which range from general (e.g. physical or regulatory) to specific (e.g. phosphorylation or transcriptional regulation). We used these networks to investigate molecular pathways in carbon metabolism and cellular transport, proposing a novel connection between glycogen breakdown and glucose utilization supported by recent publications. Additionally, 14 specific predicted interactions in DNA topological change and protein biosynthesis were experimentally validated. We analyzed the systems-level network features within all interactomes, verifying the presence of small-world properties and enrichment for recurring network motifs. This compendium of physical, synthetic, regulatory, and functional interaction networks has been made publicly available through an interactive web interface for investigators to utilize in future research at http://function.princeton. edu/bioweaver/.
Performance Improvement of On-line Adaptive Feedback Canceller in Active Noise Control under Narrow Band Noise Case

This paper discusses acoustic feedback effects in active noise control (ANC) and proposes an improved performance online adaptive feedback canceller (AFC). The online AFC is ineffective if the noise input is narrowband. The proposed method uses the prewhitening filter in the weight adaptation path of both AFC and ANC. The computer simulations show that the proposed method of ANC with online AFC outperforms the conventional ANC structure under narrowband acoustic noise case.
Human critical power–oxygen uptake relationship at different pedalling frequencies

Critical power (CP) is lower at faster rather than slower pedalling frequencies and traditionally reported in watts (W). Faster pedalling frequencies also engender a greater metabolic rate at low work rates, but with progressive increases in power output, the initial difference in between fast and slower pedalling frequencies is reduced. We tested the hypothesis that CP represents a unique metabolic rate for any given individual which would be similar at different pedalling frequencies. Eleven collegiate athletes (five cross‐country runners, END; six sprinters, SPR), aged 18–23 years, performed exhaustive rides at either 60 or 100 r.p.m. on separate days for the determination of the pedal rate‐specific CP. The at CP (CP‐ ) was determined from an 8 min ride at the CP for each pedal frequency. The group mean CP was significantly lower at 100 r.p.m. (189 ± 50 W) compared to 60 r.p.m. (207 ± 53 W, P < 0.05). However, the group mean CP‐ values at 60 (2.53 ± 0.60 l min−1) and 100 r.p.m. (2.58 ± 0.53 l min−1) were not significantly different. Critical power was significantly higher in the END athletes (242 ± 50 W at 60 r.p.m.; 221 ± 56 W at 100 r.p.m.) compared to SPR athletes at both pedal frequencies (177 ± 38 W at 60 r.p.m.; 162 ± 27 W at 100 r.p.m., P < 0.05), but the CP‐ was not (P > 0.05). However, when the CP‐ was scaled to body weight, the END athletes had a significantly greater CP‐ (41.3 ± 4.1 ml min−1 kg−1 at 60 r.p.m.; 40.8 ± 5.5 ml min−1 kg−1 at 100 r.p.m.) compared to the SPR athletes at both pedal frequencies (27.7 ± 4.6 ml min−1 kg−1 at 60 r.p.m.; 29.4 ± 2.8 ml min−1 kg−1 at 100 r.p.m., P < 0.05). We conclude that CP represents a specific metabolic rate which can be achieved at different combinations of power outputs and pedalling frequencies.
Integrating Biological Research through Web Services

Web services might be a way to solve the integration problem because Web services technology provides a higher layer of abstraction that hides implementation details from applications. Using this technology, applications invoke other applications' functions through well-defined, easy-to-use interfaces. To test the potential of a Web services solution, we implemented a microarray data-mining system that uses Web services in drug discovery - a research process that attempts to identify new avenues for developing therapeutic drugs. Although our implementation focuses on a problem within the life sciences, we strongly believe that Web services could be a boon to any research field that requires analyzing volumes of data and conducting complex data mining.
Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon

This paper focuses on the task of disambiguating polarity-ambiguous words and the task is reduced to sentiment classification of aspects, which we refer to sentiment expectation instead of semantic orientation widely used in previous researches. Polarity-ambiguous words refer to words like" large, small, high, low ", which pose a challenging task on sentiment analysis. In order to disambiguate polarity-ambiguous words, this paper constructs the aspect and polarity-ambiguous lexicon using a mutual bootstrapping algorithm. So the sentiment of polarity-ambiguous words in context can be decided collaboratively by the sentiment expectation of the aspects and polarity-ambiguous words' prior polarity.At sentence level, experiments show that our method is effective in sentiment analysis. Keywords—polarity-ambiguous word; aspect; sentiment analysis
Biogeographical patterns of soil bacterial communities.

This study provides the first maps of variations in bacterial community structure on a broad scale based on genotyping of DNA extracts from 593 soils from four different regions of France (North, Brittany, South-East and Landes). Soils were obtained from the soil library of RMQS ('Réseau de Mesures de la Qualité des Sols' = French soil quality monitoring network). The relevance of a biogeographic approach for studying bacterial communities was demonstrated by the great variability in community structure and specific geographical patterns within and between the four regions. The data indicated that the distribution of bacterial community composition might be more related to local factors such as soil type and land cover than to more global factors such as climatic and geomorphologic characteristics. Furthermore, the regional pools of biodiversity could be ordered: South-East ≥ North > Brittany > Landes, according to the observed regional variability of the bacterial communities, which could be helpful for improving land use in accordance with soil biodiversity management.
Autoactivated KlPDR1 gene in the control of multidrug resistance in Kluyveromyces lactis.

The KlPDR1 gene encodes a zinc finger transcription factor that has recently been shown to be involved in the control of multidrug resistance of Kluyveromyces lactis . In this work, we provide evidence that the K. lactis KlPDR1 gene is under positive autoregulation by KlPdr1p, which plays a role in the activation of the main multidrug resistance transporter gene KlPDR5. Electrophoretic mobility shift assays, as well as the use of gusA reporter constructs, enabled us to identify the 5'-tataTCCGGGTAactt-3' sequence motif in the KlPDR1 promoter (in the position -326 to -319 bp) as the PDRE (pleiotropic drug responsive element) for the binding of KlPdr1p. The drug sensitivity of Klpdr1Δ mutant cells was complemented by introducing the plasmid-born KlPDR1 gene. The KlPdr1p activated the expression of the P(KlPDR1)-gusA fusion gene, and the expression of the KlPDR1 gene was induced by fluconazole. The PDRE was also found in the promoter of KlPDR5, a gene encoding the ATP-dependent efflux pump responsible for the drug resistance phenomenon in K. lactis.
A METHODOLOGY TO CHARACTERISE THE SOURCES OF UNCERTAINTIES IN ATMOSPHERIC TRANSPORT MODELLING

The atmospheric dispersion modelling of pollutants is based on models, but also on data and users, who lead to uncertainties, i.e. to differences between the results of the models and the physical reality to describe. The question of the uncertainty of dispersion models is a subject of increasing interest for primarily two reasons: • In spite of the significant number of research works on atmospheric dispersion in the last 30 years, results of simulations preserve an important level of uncertainty. Since the reduction of this uncertainty will be more and more difficult, it thus seems today necessary to characterize it and, if possible, to quantify it. • The development of computer performances allows today the use of models in real time for decision-making aid, e.g. for the control of an industrial facility or for the management of an accident. In this context, where important decisions must be made quickly, it becomes extremely important to provide to the results of models an information on the uncertainty associated with these results. For better characterising uncertainties associated with atmospheric dispersion models, we propose a methodology of analysis which led us to make an inventory of all the sources of uncertainties of a model, considering all kind of models (Gaussian, Lagrangian, Eulerian). This methodology is based on a decomposition of the modelling process in four steps: • The collection of input data (sources, meteorology, topography, land cover.), with uncertainties in the measurement of these data, in their treatment and in their representativeness. • The modelling of the meteorological field, with uncertainties associated with intrinsic nature of atmospheric phenomena and with the quality of the models/approaches used to describe these phenomena. • The modelling of dispersion processes and of the physicochemical transformations. • The statistical treatment of results: it is shown that the choice of the output parameters (average annual or hourly maximum, maximum ground value or position of this maximum, etc.) modify, in an important way, the uncertainty of the results and how to evaluate it. The methodology proposed in this work should make it possible to progress towards a more systematic quantification of uncertainties associated with modelling of atmospheric dispersion.
Commercial Nanoparticles for Stem Cell Labeling and Tracking

Stem cell therapy provides promising solutions for diseases and injuries that conventional medicines and therapies cannot effectively treat. To achieve its full therapeutic potentials, the homing process, survival, differentiation, and engraftment of stem cells post transplantation must be clearly understood. To address this need, non-invasive imaging technologies based on nanoparticles (NPs) have been developed to track transplanted stem cells. Here we summarize existing commercial NPs which can act as contrast agents of three commonly used imaging modalities, including fluorescence imaging, magnetic resonance imaging and photoacoustic imaging, for stem cell labeling and tracking. Specifically, we go through their technologies, industry distributors, applications and existing concerns in stem cell research. Finally, we provide an industry perspective on the potential challenges and future for the development of new NP products.
Power and Control in the Legal System

The purpose of this study was to examine the ways in which abuse that occurred during marriage/relationship continued within divorce and custody-related legal proceedings. Twenty-seven women participated in semistructured interviews. Interviews were analyzed utilizing a grounded theory approach in order to inductively arrive at a theory explaining how abuse dynamics may continue during legal proceedings. Participants identified child support litigation, custody and visitation battles, intimidation/harassment, deliberately prolonging the case, manipulating finances, and distortions of information as methods by which their exes sought to maintain power and control. Counseling implications are described.
Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images

Imaging modalities are widely used to explore and diagnose diseases. Feature extraction methods are used to quantitatively describe and identify objects of interest in acquired images, typically involving data compression. The extracted features are subject to clinical inference, whereby the compression ratio used for feature extraction can affect the inference performance. In this paper, a new method is introduced which allows for optimal data compression with respect to performance maximization of uncertain inference. The model introduced herein identifies objects of interest using selective data compression in the frequency domain. It quantifies the amount of information provided by the inference involving these objects, calculates the inference efficiency, and estimates its cost. By analyzing the effect of data compression on inference efficiency and cost, the method allows for the optimal selection of the compression ratio. The method is applied to prostate cancer diagnosis in ultrasound images.
An Entropy Dissipation-Entropy Estimate for a Thin Film Type Equation

We prove a lower bound on the rate of relaxation to equilibrium in the H 1 norm for a thin fllm equation. We flnd a two stage relaxation, with power law decay in an initial interval, followed by exponential decay, at an essentially optimal rate, for large times. The waiting time until the exponential decay sets in is explicitly estimated.
Role of the metastasis-promoting protein osteopontin in the tumour microenvironment

Osteopontin (OPN) is a secreted protein present in bodily fluids and tissues. It is subject to multiple post‐translational modifications, including phosphorylation, glycosylation, proteolytic cleavage and crosslinking by transglutamination. Binding of OPN to integrin and CD44 receptors regulates signalling cascades that affect processes such as adhesion, migration, invasion, chemotaxis and cell survival. A variety of cells and tissues express OPN, including bone, vasculature, kidney, inflammatory cells and numerous secretory epithelia. Normal physiological roles include regulation of immune functions, vascular remodelling, wound repair and developmental processes. OPN also is expressed in many cancers, and elevated levels in patients’ tumour tissue and blood are associated with poor prognosis. Tumour growth is regulated by interactions between tumour cells and their tissue microenvironment. Within a tumour mass, OPN can be expressed by both tumour cells and cellular components of the tumour microenvironment, and both tumour and normal cells may have receptors able to bind to OPN. OPN can also be found as a component of the extracellular matrix. The functional roles of OPN in a tumour are thus complex, with OPN secreted by both tumour cells and cells in the tumour microenvironment, both of which can in turn respond to OPN. Much remains to be learned about the cross‐talk between normal and tumour cells within a tumour, and the role of multiple forms of OPN in these interactions. Understanding OPN‐mediated interactions within a tumour will be important for the development of therapeutic strategies to target OPN.