Miracle-dz/UniFAR-FTUs huggingface dataset:
Three Cell Wall Mannoproteins Facilitate the Uptake of Iron in Saccharomyces cerevisiae *

Analysis of iron-regulated gene expression inSaccharomyces cerevisiae using cDNA microarrays has identified three putative cell wall proteins that are directly regulated by Aft1p, the major iron-dependent transcription factor in yeast. FIT1, FIT2, andFIT3 (for facilitator of irontransport) were more highly expressed in strains grown in low concentrations of iron and in strains in whichAFT1–1up , a constitutively active allele ofAFT1, was expressed. Northern blot analysis confirmed thatFIT1, FIT2, and FIT3 mRNA transcript levels were increased 60–230-fold in response to iron deprivation in an Aft1p-dependent manner. Fit1p was localized exclusively to the cell wall by indirect immunofluorescence. Deletion of the FIT genes, individually or in combination, resulted in diminished uptake of iron bound to the siderophores ferrioxamine B and ferrichrome, without diminishing the uptake of ferric iron salts, or the siderophores triacetylfusarinine C and enterobactin. FIT-deletion strains exhibited increased expression of Aft1p target genes as measured by a FET3-lacZreporter gene or by Arn1p Western blotting, indicating that cells respond to the absence of FIT genes by up-regulating systems of iron uptake. Aft1p activation in FIT-deleted strains occurred when either ferrichrome or ferric salts were used as sources of iron during growth, suggesting that the FITgenes enhance uptake of iron from both sources. Enzymatic digestion of the cell wall resulted in the release of significant amounts of iron from cells, and the relative quantity of iron released was reduced inFIT-deletion strains. Fit1p, Fit2p, and Fit3p may function by increasing the amount of iron associated with the cell wall and periplasmic space.
JCMT/SCUBA Submillimeter Wavelength Imaging of the Integral-shaped Filament in Orion

We present the first high dynamic range and sensitivity images of the submillimeter wavelength continuum emission at 450 and 850 μm of the "integral-shaped filament" in the northern portion of the Orion A cloud, which contains the nearest site of ongoing high-mass star formation. The images trace the morphology and spectral index of optically thin emission from interstellar dust, and they constrain the grain temperature and emissivity. The images reveal a remarkable chain of compact sources embedded in a narrow (<1' = 0.14 pc), high column density filament that extends over the 50' (7 pc) length of the map, with faint extended structure surrounding it. While many compact sources contain extremely young protostars, others may be pre-collapse phase cloud cores. The brightest region, associated with OMC-1, contains a remarkable group of dust filaments that radiate radially away from this high-luminosity core and that coincide with the filaments of NH3 emission. The spectral index is uniform between 450 and 850 μm, except for the ridge sources, the photoheated H II region edges including the Orion bar, and the location of molecular hydrogen shocks.
Approximate Matching of Curves to Point Sets

Let P be a polygonal curve in R of length n, and S be a point set of size k. The Curve/Point Set Matching problem consists of finding a polygonal curve Q on S such that the Frechet distance from P is less than a given e. We consider eight variations of the problem based on the distance metric used and the omittability and repeatability of the points. We provide closure to a recent series of complexity results for the case where S consists of precise points. We also formulate a more realistic version of the problem that takes into account measurement errors and attempts to match a given curve to a set of imprecise points. We show that all three variations of the problem that are in P when S consists of precise points become NP-complete when S consists of imprecise points. Finally, we present a 3-factor approximation algorithm for a version of the problem.
Applying fuzzy techniques to select suitable scenic spots for medical care

The artificial intelligence has been applied to the area of medical care in the last decade, in which a large number of expert systems were constructed to help medical diagnoses. With the increase of medical care and tourism, many information technologies have been integrated and employed in personal medical care and tourism. In this study, the mobile device was combined with the Global Positioning System (GPS) to analyze the user information, such as type of surgery, sunshine factor, temperature and humidity of scenic spots and so forth, to obtain the fitness about the scenic spots. Moreover, this study employs the fuzzy techniques to recommend the suitable travel to the postoperative for medical care. The result concerning this study can offer the service of personal medical tourism and postoperative medical care.
Practice patterns and outcomes of retrievable vena cava filters in trauma patients: an AAST multicenter study.

BACKGROUND The purpose of this study is to describe practice patterns and outcomes of posttraumatic retrievable inferior vena caval filters (R-IVCF). METHODS A retrospective review of R-IVCFs placed during 2004 at 21 participating centers with follow up to July 1, 2005 was performed. Primary outcomes included major complications (migration, pulmonary embolism [PE], and symptomatic caval occlusion) and reasons for failure to retrieve. RESULTS Of 446 patients (69% male, 92% blunt trauma) receiving R-IVCFs, 76% for prophylactic indications and 79% were placed by interventional radiology. Excluding 33 deaths, 152 were Gunter-Tulip (G-T), 224 Recovery (R), and 37 Optease (Opt). Placement occurred 6 +/- 8 days after admission and retrieval at 50 +/- 61 days. Follow up after discharge (5.7 +/- 4.3 months) was reported in 51%. Only 22% of R-IVCFs were retrieved. Of 115 patients in whom retrieval was attempted, retrieval failed as a result of technical issues in 15 patients (10% of G-T, 14% of R, 27% of Opt) and because of significant residual thrombus within the filter in 10 patients (6% of G-T, 4% of R, 46% Opt). The primary reason R-IVCFs were not removed was because of loss to follow up (31%), which was sixfold higher (6% to 44%, p = 0.001) when the service placing the R-IVCF was not directly responsible for follow up. Complications did not correlate with mechanism, injury severity, service placing the R-IVCF, trauma volume, use of anticoagulation, age, or sex. Three cases of migration were recorded (all among R, 1.3%), two breakthrough PE (G-T 0.6% and R 0.4%) and six symptomatic caval occlusions (G-T 0, R 1%, Opt 11%) (p < 0.05 Opt versus both G-T and R). CONCLUSION Most R-IVCFs are not retrieved. The service placing the R-IVCF should be responsible for follow up. The Optease was associated with the greatest incidence of residual thrombus and symptomatic caval occlusion. The practice patterns of R-IVCF placement and retrieval should be re-examined.
Genome-Wide Gene Expression Profiling of Nucleus Accumbens Neurons Projecting to Ventral Pallidum Using both Microarray and Transcriptome Sequencing

The cellular heterogeneity of brain poses a particularly thorny issue in genome-wide gene expression studies. Because laser capture microdissection (LCM) enables the precise extraction of a small area of tissue, we combined LCM with neuronal track tracing to collect nucleus accumbens shell neurons that project to ventral pallidum, which are of particular interest in the study of reward and addiction. Four independent biological samples of accumbens projection neurons were obtained. Approximately 500 pg of total RNA from each sample was then amplified linearly and subjected to Affymetrix microarray and Applied Biosystems sequencing by oligonucleotide ligation and detection (SOLiD) transcriptome sequencing (RNA-seq). A total of 375 million 50-bp reads were obtained from RNA-seq. Approximately 57% of these reads were mapped to the rat reference genome (Baylor 3.4/rn4). Approximately 11,000 unique RefSeq genes and 100,000 unique exons were identified from each sample. Of the unmapped reads, the quality scores were 4.74 ± 0.42 lower than the mapped reads. When RNA-seq and microarray data from the same samples were compared, Pearson correlations were between 0.764 and 0.798. The variances in data obtained for the four samples by microarray and RNA-seq were similar for medium to high abundance genes, but less among low abundance genes detected by microarray. Analysis of 34 genes by real-time polymerase chain reaction showed higher correlation with RNA-seq (0.66) than with microarray (0.46). Further analysis showed 20–30 million 50-bp reads are sufficient to provide estimates of gene expression levels comparable to those produced by microarray. In summary, this study showed that picogram quantities of total RNA obtained by LCM of ∼700 individual neurons is sufficient to take advantage of the benefits provided by the transcriptome sequencing technology, such as low background noise, high dynamic range, and high precision.
Rate of inpatient weight restoration predicts outcome in anorexia nervosa.

OBJECTIVE To examine weight restoration parameters during inpatient treatment as predictors of outcome in anorexia nervosa (AN). METHOD Adolescent and adult females admitted for inpatient eating disorder treatment were recruited for an ongoing longitudinal study. This analysis examined several weight restoration parameters as predictors of clinical deterioration after discharge among participants with AN. RESULTS Rate of weight gain was the only restoration parameter that predicted year 1 outcome. Clinical deterioration occurred significantly less often among participants who gained >or=0.8 kg/week (12/41, 29%) than those below this threshold (20/38, 53%) (chi(2) = 4.37, df = 1, p = . 037) and remained significant after adjustment for potential confounders. DISCUSSION Weight gain rate during inpatient treatment for AN was a significant predictor of short-term clinical outcome after discharge. It is unclear whether weight gain rate exerts a causal effect or is rather a marker for readiness to tolerate weight restoration and engage in the recovery process.
A Hermeneutic Phenomenological Exploration of Counsellors' Practice of Mindful Acceptance

This article presents a qualitative study employing hermeneutic phenomenology to explore the experience of 4 counsellors using mindfulness to practice acceptance in their therapeutic work with clients. Findings are presented as four themes that demonstrate counsellors’ practices of acceptance: recognizing, allowing, attending to the physical, and experiencing the self and accepting clients. The findings suggest that accepting clients involves the intrapersonal process of accepting our experiences of clients—a practice honed through the self-cultivation of particular qualities and attitudes. The findings have implications in counsellor training and highlight the importance of self-cultivation for counsellors.
New measure of fine tuning

The solution to fine tuning is one of the principal motivations for beyond the standard model (BSM) studies. However constraints on new physics indicate that many of these BSM models are also fine-tuned (although to a much lesser extent). To compare these BSM models it is essential that we have a reliable, quantitative measure of tuning. We review the measures of tuning used in the literature and propose an alternative measure. We apply this measure to several toy models and the minimal supersymmetric standard model.
CONTROL OF DISCRETE EVENT SYSTEMS IN TEMPORAL LOGIC

This paper presents two approaches to the control of a discrete event system (DES) - one semantic, the other syntactic - within the framework of Propositional Linear Temporal Logic (PLTL). Given the plant behavior and the desired behavior, both described in PLTL, a causal, nonblocking and fair controller is to be synthesized that restricts the system's closed loop behavior to a subset of the desired behavior. The syntactic procedure gives the maximal such controller; the semantic technique gives the synthesis of the controller.
Self-harm - an overview of the tools used to assess non-suicidal self-harming behaviors

Abstract Introduction: Non-Suicidal Self-Injury (NSSI) is the deliberate injury to one’s own body intended to cause mental or physical harm to oneself. In view of the growing scale of the NSSI, especially among young people without identifying any other psychiatric disorders, the disorder was included in both DSM-5 and ICD10 as independent diagnostic entity. Many etiopathogenetic hypotheses and research tools assessing various aspects of NSSI have been developed. The aim of the work is to present and discuss the most commonly used scales for NSSI assessment. Method: A review of available literature was made using the databases Medline / PubMed, using the key words: “self injury”, “self-mutilation”, “non-suicidal,”, “NSSI”, “self-harm” and time descriptors: 2005-2017 Results: Available tools were divided into three groups: I- scale of self-assessment made by the patient, II- assessment made by the clinician, and III- auxiliary scale. Conclusions: None of the available scales covers the complexity of the NSSI phenomenon. For the overall NSSI assessment, several NSSI assessment tools are suggested, taking into account both self-assessment scales and clinical evaluation.
The Physical Systems Behind Optimization Algorithms

We use differential equations based approaches to provide some {\it \textbf{physics}} insights into analyzing the dynamics of popular optimization algorithms in machine learning. In particular, we study gradient descent, proximal gradient descent, coordinate gradient descent, proximal coordinate gradient, and Newton's methods as well as their Nesterov's accelerated variants in a unified framework motivated by a natural connection of optimization algorithms to physical systems. Our analysis is applicable to more general algorithms and optimization problems {\it \textbf{beyond}} convexity and strong convexity, e.g. Polyak-Łojasiewicz and error bound conditions (possibly nonconvex).
Fixed Points for Strong and Weak Dominance ∗

In this note, we provide fixed-point characterizations for two solution concepts in finite games: bestresponse sets (BRS’s) and self-admissible sets (SAS’s). The BRS concept is due to Pearce [7, 1984]. The SAS concept is a weak-dominance analog to a BRS, and is due to BrandenburgerFriedenberg-Keisler [4, 2006]. BRS’s are important because they characterize the epistemic condition of rationality and common belief of rationality (RCBR) in a game. Similarly, SAS’s characterize the condition of rationality and common assumption of rationality (RCAR). (See [4, 2006] for the meanings of “rationality” in a weak-dominance setting and of “assumption.”) We imagine that the material here on BRS’s is well known to researchers in the area. In particular, Apt [1, 2006] is a lattice-theoretic treatment of strong dominance in general (infinite) games. The focus of most work is on a particular BRS—the iteratively undominated (IU) set, i.e., the set of strategies that survive iterated deletion of strongly dominated strategies. We cover all BRS’s in this note, to make clear the comparison with SAS’s. Here is a summary on BRS’s: BRS’s are the fixed points of a certain map defined on the complete lattice of rectangular subsets of the product of the players’ strategy sets. There is a greatest fixed point, which is the IU set. The map Φ is monotone increasing: If x ≤ y, then Φ(x) ≤ Φ(y). So, the existence of a greatest fixed point also follows from the Knaster-Tarski Theorem [5, 1928], [8, 1955]. (This map already appears in Apt [1, 2006].) SAS’s, too, are the fixed points of a map Ψ. Unlike Φ, the map Ψ need not be monotone increasing and so need not have a greatest fixed point. But Ψ does satisfy: Ψ( ) ≥ Ψ(Ψ( )) ≥ . , where is the top element of the lattice. So, induction gives a fixed point. The fixed point obtained this way is the iteratively admissible (IA) set, i.e., the set of strategies that survive
Hierarchical Agglomerative Clustering Based T-outlier Detection

Diversification is a technique to reduce portfolio volatility. In traditional financial domains, the correlation coefficient has been used as a basis for diversification. However, it is problematic in reality since it only captures a single dimension. This research introduces a unique similarity based framework to identify outliers among high dimensional time series objects in financial markets. As the similarity between two assets decreases in the portfolio, the benefits of diversification increase. The paper proposes an efficient hierarchical agglomerative clustering (HAC) algorithm based on vertical and horizontal dimension reduction algorithms. Finally, this paper proposes a unique similarity measurement definition/calculation based on the time-value function. This paper discloses a series of experiment results illustrating the effectiveness of the framework. The detected outliers can be used to monitor portfolio diversification and therefore mitigate risk
Wireless Video Surveillance Server Based on CDMA1x and H.264

As the increasing requirement for securing and the development of communication technology, network technology and computer technology, the video surveillance based on CDMA1x has developed quickly in this few years. In order to adapt the characteristic of CDMAlx wireless network environment which is low bandwidth and high bit error rates, what kind of video coding to choose should taken into account. In the paper, a video surveillance server based on CDMAlx and H.264 is put forward. The implementing of H.264 video coding for this server is also presented. Some video quality of service(QoS) control strategies, such as congestion control, rate control, error control and so on, are analyzed. The result when the QoS control strategies are used in the real CDMA1x wireless network environment is given too.
Critical component analyzer — A novel test prioritization framework for component based real time systems

Component based software development system is composed of many components and it uses the reusable components as the building blocks for constructing the complex software system. The major challenges in CBS are testing component dependency that is; it is a tricky task to test each and every component for each possible input data which will lead to exhaustive testing. To reduce the cost, the industries are following some stopping criteria and release the product to the customer side. These stopping criteria will at times lead to skipping up of some of the components from rigorous testing. This will lead to hazardous side effects such as loss in terms of revenue, human life and resources. This insight leads to the need to identify critical components which have the higher dependability measure in terms of functionality and receives higher priority in testing with rigorous test procedures. Hence, this paper proposes a novel method for identifying the critical components from the Software under Test (SUT) and prioritizes them for testing with at most care based on various dependency metrics and measures among the components with the help of Component Execution Sequence Graph (CESG).
Directory-based cache coherence protocol for power-aware chip-multiprocessors

Multi-core processor architectures, also known as chip-multiprocessors (CMPs), have become a predominant technology for applications demanding both the high bandwidth and the low power. A typical CMP architecture integrates multiple processor cores, one or more memory controllers, a multi-level cache hierarchy, and an interconnection network on a single chip. Sharing of large size cache among multi-cores poses a number of new challenges to be addressed in terms of cache-coherence and power management. This paper investigates the integration of a directory-based cache coherence protocols for the last level shared cache (L2/L3) for power-aware CMP architectures. We propose a scalable directory-based cache coherence protocol with minimal hardware overhead. The protocol supports the “sleep” mode for one or more cores without running into issues of data inconsistencies of shared data. The paper also presents the framework of an analytical model to evaluate the performance of the proposed protocol.
Exploring the Williams syndrome face-processing debate: the importance of building developmental trajectories.

BACKGROUND Face processing in Williams syndrome (WS) has been a topic of heated debate over the past decade. Initial claims about a normally developing ('intact') face-processing module were challenged by data suggesting that individuals with WS used a different balance of cognitive processes from controls, even when their behavioural scores fell within the normal range. Measurement of evoked brain potentials also point to atypical processes. However, two recent studies have claimed that people with WS process faces exactly like normal controls. METHOD In this paper, we examine the details of this continuing debate on the basis of three new face-processing experiments. In particular, for two of our experiments we built task-specific full developmental trajectories from childhood to adolescence/adulthood and plotted the WS data on these trajectories. RESULTS The first experiment used photos of real faces. While it revealed broadly equivalent accuracy across groups, the WS participants were worse at configural processing when faces were upright and less sensitive than controls to face inversion. In Experiment 2, measuring face processing in a storybook context, the face inversion effect emerged clearly in controls but only weakly in the WS developmental trajectory. Unlike the controls, the Benton Face Recognition Test and the Pattern Construction results were not correlated in WS, highlighting the different developmental patterns in the two groups. Again in contrast to the controls, Experiment 3 with schematic faces and non-face stimuli revealed a configural-processing deficit in WS both with respect to their chronological age (CA) and to their level of performance on the Benton. CONCLUSION These findings point to both delay and deviance in WS face processing and illustrate how vital it is to build developmental trajectories for each specific task.
A Rubberlike Stretchable Active Matrix Using Elastic Conductors

By using an ionic liquid of 1-butyl-3-methylimidazolium bis(trifluoromethanesulfonyl)imide, we uniformly dispersed single-walled carbon nanotubes (SWNTs) as chemically stable dopants in a vinylidene fluoride-hexafluoropropylene copolymer matrix to form a composite film. We found that the SWNT content can be increased up to 20 weight percent without reducing the mechanical flexibility or softness of the copolymer. The SWNT composite film was coated with dimethyl-siloxane–based rubber, which exhibited a conductivity of 57 siemens per centimeter and a stretchability of 134%. Further, the elastic conductor was integrated with printed organic transistors to fabricate a rubberlike active matrix with an effective area of 20 by 20 square centimeters. The active matrix sheet can be uniaxially and biaxially stretched by 70% without mechanical or electrical damage. The elastic conductor allows for the construction of electronic integrated circuits, which can be mounted anywhere, including arbitrary curved surfaces and movable parts, such as the joints of a robot's arm.
Electronic transport through single noble gas atoms

L.A. Z. and J.C. C. were funded by the EU through BIMORE (MRTN-CT-2006-035859) and by the Comunidad de Madrid through the program NANOBIOMAGNET S2009/MAT1726. M.B acknowledges funding through the Center for Functional Nanostructures and the DFG priority program 1243, and F.P. through the Young Investigator Group