Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of C/N-nutrient and multiple environmental signals into the ABA signaling cascade

Due to their immobility, plants have developed sophisticated mechanisms to robustly monitor and appropriately respond to dynamic changes in nutrient availability. Carbon (C) and nitrogen (N) are especially important in regulating plant metabolism and development, thereby affecting crop productivity. In addition to their independent utilization, the ratio of C to N metabolites in the cell, referred to as the “C/N balance”, is important for the regulation of plant growth, although molecular mechanisms mediating C/N signaling remain unclear. Recently ABI1, a protein phosphatase type 2C (PP2C), was shown to be a regulator of C/N response in Arabidopsis plants. ABI1 functions as a negative regulator of abscisic acid (ABA) signal transduction. ABA is versatile phytohormone that regulates multiple aspects of plant growth and adaptation to environmental stress. This review highlights the regulation of the C/N response mediated by a non-canonical ABA signaling pathway that is independent of ABA biosynthesis, as well as recent findings on the direct crosstalk between multiple cellular signals and the ABA signaling cascade.
NoisyKey: Tolerating Keyloggers via Keystrokes Hiding

Keyloggers are a prominent class of malicious software that surreptitiously logs all the user activity. Traditional approaches aim to eradicate this threat by either preventing or detecting their deployment. In this paper, we take a new perspective to this problem: we explore the possibility of tolerating the presence of a keylogger, while making no assumption on the keylogger internals or the system state. The key idea is to confine the user keystrokes in a noisy event channel flooded with artificially generated activity. Our technique allows legitimate applications to transparently recover the original user keystrokes, while any deployed keylogger is exposed to a stream of data statistically indistinguishable from random noise. We evaluate our solution in realistic settings and prove the soundness of our noise model. We also verify that the overhead introduced is acceptable and has no significant impact on the user experience.
Predictive value of the EphA2 receptor tyrosine kinase in lung cancer recurrence and survival.

PURPOSE Underestimation of disease severity is a major problem confronting the successful clinical management of non-small cell lung cancer. Recent advances in molecular biological substaging may provide an opportunity to identify those patients with the most aggressive forms of the disease, but there is a continuing need for accurate markers of disease relapse and survival. EXPERIMENTAL DESIGN In our present study, immunohistochemical analyses of a retrospective database of pathologic specimens were used to demonstrate that the EphA2 receptor kinase is frequently overexpressed in NSCLC. RESULTS Initial presentation with high levels of EphA2 predicts subsequent survival, overall relapse, and site of relapse. Specifically, high levels of EphA2 in the primary tumor predict brain metastases, whereas low levels of EphA2 relate to disease-free survival or contralateral lung metastasis. CONCLUSIONS These data suggest that EphA2 may provide a molecular marker to identify and predict patients who have isolated brain metastases. Moreover, the high levels of EphA2 in lung cancer may provide an opportunity for therapeutic targeting.
Distributional term representations: an experimental comparison

A number of content management tasks, including term categorization, term clustering, and automated thesaurus generation, view natural language <i>terms</i> (e.g. words, noun phrases) as first-class objects, i.e. as objects endowed with an internal representation which makes them suitable for explicit manipulation by the corresponding algorithms. The information retrieval (IR) literature has traditionally used an extensional (aka <i>distributional</i>) representation for terms according to which a term is represented by the "bag of documents" in which the term occurs. The computational linguistics (CL) literature has independently developed an alternative distributional representation for terms, according to which a term is represented by the "bag of terms" that co-occur with it in some document. This paper aims at discovering which of the two representations is most effective, i.e. brings about higher effectiveness once used in tasks that require terms to be explicitly represented and manipulated. We carry out experiments on (i) a term categorization task, and (ii) a term clustering task; this allows us to compare the two different representations in closely controlled experimental conditions. We report the results of experiments in which we categorize/cluster under 42 different classes the terms extracted from a corpus of more than 65,000 documents. Our results show a substantial difference in effectiveness between the two representation styles; we give both an intuitive explanation and an information-theoretic justification for these different behaviours.
Fuzzy logic based reduction in the response time of Active filter

A new control strategy is proposed for power quality enhancement in the three phase three wire system. A fuzzy logic controller is integrated in Synchronous Reference Frame (SRF) topology to minimize the transient time of Active filter. The proposed algorithm evaluates energy of capacitor rather than voltage and analyzes a fast response. A comparison has been made to analyze the performance in transient time using conventional and proposed controller when there is abrupt fall in load. The model is developed using MATLAB / “SimPower Systems” Block library.
Dysregulated flow-mediated vasodilatation in the human placenta in fetal growth restriction

A correlation was found between in vivo umbilical artery Doppler velocimetry and resistance to fetal‐side flow in the human ex vivo dually perfused placenta, highlighting that the fetoplacental vascular bed is a key site of resistance to umbilico‐placental flow in pregnancy. We discovered high resistance and poor flow‐mediated vasodilatory responses in placentas from pregnancies associated with fetal growth restriction (FGR). Endothelial cells isolated from the FGR placentas and grown in static and flow culture showed a dysregulated phenotype, with biochemical signalling demonstrating a failed compensatory response to high blood‐flow resistance.
ESPÉCIES ARBÓREAS NATIVAS PIONEIRAS EM SISTEMAS AGROFLORESTAIS BIODIVERSOS

Objetivou-se avaliar a composicao floristica e a performance da vegetacao arborea por meio de parâmetros fitossociologicos em sistemas agroflorestais biodiversos (SAFs) no Estado de MS. Foram avaliados quatros SAFs nos biomas Cerrado e Mata Atlântica, bem como no ecotono de transicao entre Mata Atlântica e Cerrado. Os parâmetros avaliados foram: identificacao das especies arboreas, densidade, frequencia, dominância, valor de importância e altura media das arvores. Amostrou-se 90 especies arboreas, dentre elas, seis (6) especies implantadas no ecotono de transicao entre Cerrado e Mata Atlântica apresentaram melhor performance, oito (8) no bioma Cerrado e treze (13) no bioma Mata Atlântica.
Metabolic and Clinical Consequences of Hyperthyroidism on Bone Density

In 1891, Von Recklinghausen first established the association between the development of osteoporosis in the presence of overt hyperthyroidism. Subsequent reports have demonstrated that BMD loss is common in frank hyperthyroidism, and, to a lesser extent, in subclinical presentations. With the introduction of antithyroid medication in the 1940s to control biochemical hyperthyroidism, the accompanying bone disease became less clinically apparent as hyperthyroidism was more successfully treated medically. Consequently, the impact of the above normal thyroid hormones in the pathogenesis of osteoporosis may be presently underrecognized due to the widespread effective treatments. This review aims to present the current knowledge of the consequences of hyperthyroidism on bone metabolism. The vast number of recent papers touching on this topic highlights the recognized impact of this common medical condition on bone health. Our focus in this review was to search for answers to the following questions. What is the mechanisms of action of thyroid hormones on bone metabolism? What are the clinical consequences of hyperthyroidism on BMD and fracture risk? What differences are there between men and women with thyroid disease and how does menopause change the clinical outcomes? Lastly, we report how different treatments for hyperthyroidism benefit thyroid hormone-induced osteoporosis.
Gradations in digital inclusion: children, young people and the digital divide

Little academic and policy attention has addressed the `digital divide' among children and young people. This article analyses findings from a national survey of UK 9—19-year-olds that reveal inequalities by age, gender and socioeconomic status in relation to their quality of access to and use of the internet. Since both the extent of use and the reasons for low- and non-use of the internet vary by age, a different explanation for the digital divide is required for children compared with adults. Looking beyond the idea of a binary divide, we propose instead a continuum of digital inclusion. Gradations in frequency of internet use (from non and low users through to weekly and daily users) are found to map onto a progression in the take-up of online opportunities among young people (from basic through moderate to broad and then all-round users), thus beginning to explain why differences in internet use matter, contributing to inclusion and exclusion. Demographic, use and expertise variables are all shown to play a role in accounting for variations in the breadth and depth of internet use.
Comparison of Total Self-Stigma Between Schizophrenia and Alcohol Dependence Patients

Background: Self-stigma severely aﬀects individuals suﬀering from psychiatric disorders such as schizophrenia and alcohol dependence syndrome (ADS) as well as act as a barrier to recovery process. Objectives: This study attempted to measure and compare self stigma among schizophrenia and alcohol dependence syndrome patients. PatientsandMethods: Across-sectionalstudyperformedon100patients,50patientswithADSand50patientswithschizophrenia. A semi-structured data and internalized stigma of mental illness Scale (ISMIS) to assess self-stigma were administered. Results: Prevalence of self-stigma was more in ADS (66%) than that in schizophrenia (50%). The stigma in schizophrenia was signiﬁcantly associated with unmarried and divorced; education above 12th standard; those who belonged to joint family, and urban region (P < 0.05) while in ADS, it was associated with education above 12th standard (P < 0.05). Only gender among the socio-demographiccorrelateswassigniﬁcantlydiﬀerentbetweenschizophreniaandADSpatientswithself stigma(P< 0.05). Thelocality and education status were found to be strong predictors of stigma. Conclusions: Self stigma is more prevalent in ADS as compared to schizophrenia and it is a signiﬁcant problem in both. Therefore, there is a need to take speciﬁc interventions to improve overall quality of life and reduce stigma.
Direct haptic rendering for large data sets with high gradients

This paper addresses haptic rendering for large data sets resulting from CFD (Computational Fluid Dynamics) applications. We present a new haptic interaction technique for volume rendering of isosurfaces. This method is based on an existing process [1]. This contribution makes it possible to take into account 3D regions presenting high frequency data. In addition, with this technique we can explore and understand complex data fields without having any intermediate geometrical representation (such as the polyhedral mesh provided by Marching Cubes [14]), thus having a very fast haptic rendering loop. Lastly, we led several psychophysical studies to assess the interest of this method for isosurface haptization.
Exploring video descriptions for handwashing activities as part of an obsessive-compulsive disorder study

Analysis of behavior using video is a promising approach for identifying risk markers for psychopathology that can be applied in a wide range of populations. As part of a study on the environmental factors that relate to obsessive-compulsive disorder (OCD) behaviors, videos were recorded of everyday tasks being performed by two groups of children: a control group and a group diagnosed with OCD. One of the activities involved handwashing, since handwashing compulsions are frequent amongst those who suffer from OCD. Being able to classify these handwashing videos as showing behaviors associated with OCD or not is a step towards helping to automate important aspects of this psychiatric study. This paper explores using various feature descriptors sampled from dense motion trajectories to determine which combination of features and encodings would be best for video classification. Dense motion trajectories are computed for the videos from the OCD study and the points in these trajectories are described using several methods, including histograms of oriented gradient, histograms of optical flow, and motion boundary histograms. Various encoding techniques for these descriptors are also explored, including bag of words, pyramid bag of words, and sparse coding. To determine which feature/encoding techniques would perform the best, several dimensionality reduction techniques are used and the methods are ranked based on separability in the low dimensional space. This separability is measured by classifying using a linear discriminant and also by using kNN.
Performance and stability testing of MSMQ in the .NET environment

We need to communicate with other applications using various methods and when communicating, we need to guarantee delivery. In the . NET environment, we generally use and develop MSMQ which creates outgoing queues for messages waiting to be sent and incoming queues for messages waiting to be received. MSMQ is message-oriented middleware whose queues, according to the developer, are very reliable, simple and more efficient than other skills. However, when developing a huge system, we found out that some problems occur when operating various queues (private/public). This paper shows the results of various tests using MSMQ, such as the status of mqsvc, CPU or memory usage, and whether or not the messages are sent and received. Also, we learned how to use MSMQ in order to develop Message Queuing-based applications.
Testis and Antler Dysgenesis in Sitka Black-Tailed Deer on Kodiak Island, Alaska: Sequela of Environmental Endocrine Disruption?

It had been observed that many male Sitka black-tailed deer (Odocoileus hemionus sitkensis) on Kodiak Island, Alaska, had abnormal antlers, were cryptorchid, and presented no evidence of hypospadias. We sought to better understand the problem and investigated 171 male deer for phenotypic aberrations and 12 for detailed testicular histopathology. For the low-lying Aliulik Peninsula (AP), 61 of 94 deer were bilateral cryptorchids (BCOs); 70% of these had abnormal antlers. Elsewhere on the Kodiak Archipelago, only 5 of 65 deer were BCOs. All 11 abdominal testes examined had no spermatogenesis but contained abnormalities including carcinoma in situ–like cells, possible precursors of seminoma; Sertoli cell, Leydig cell, and stromal cell tumors; carcinoma and adenoma of rete testis; and microlithiasis or calcifications. Cysts also were evident within the excurrent ducts. Two of 10 scrotal testes contained similar abnormalities, although spermatogenesis was ongoing. We cannot rule out that these abnormalities are linked sequelae of a mutation(s) in a founder animal, followed by transmission over many years and causing high prevalence only on the AP. However, based on lesions observed, we hypothesize that it is more likely that this testis–antler dysgenesis resulted from continuing exposure of pregnant females to an estrogenic environmental agent(s), thereby transforming testicular cells, affecting development of primordial antler pedicles, and blocking transabdominal descent of fetal testes. A browse (e.g., kelp) favored by deer in this locale might carry the putative estrogenic agent(s).
International Journal of Production Research Focused Factories: a Bayesian Framework for Estimating Non-product Related Investment Focused Factories: a Bayesian Framework for Estimating Non-product Related Investment

Taylor & Francis makes every effort to ensure the accuracy of all the information (the " Content ") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. Focused factories are one of the new manufacturing trends for automotive suppliers. A key requirement for these suppliers is the ability to accurately estimate both product and non-product related investment in these facilities to quote profitable business. We propose a systematic Bayesian framework to estimate non-product related investment in focused factories. Our approach incorporates uncertainty in the activity-based costing method and applies Monte Carlo simulation process to generate distributions of investment for the cost centres, and for the different project phases in setting up a facility. A Bayesian-updating procedure is introduced to improve parameter estimations as new information becomes available with experience in setting up these facilities. Our approach is deployed at a leading global automotive tier-one supplier, Visteon Corporation. The efficacy of the Visteon-focused factory cost model is validated using subject matter experts as well as by comparing the model results with estimates from the typical current process. 1. Introduction Globalisation and the rise of Asian automakers have intensified competition in the automotive industry for Western markets , with stagnant or limited growth in demand over the past decade. Customers are demanding more choices and vehicles tailored to their individual needs with steadily rising expectations in terms of quality and cost. To stay competitive, original equipment manufacturers (OEMs) are being forced to offer more vehicle models with lower planned volumes, more model configuration choices in terms of features (e.g. number of available power-trains and body styles) and optional/accessory content (e.g. availability of moon-roof, heated seats, lane departure and side collision warning systems, rear-view camera systems, …
Geolocation databases for white space devices in the UHF TV bands: Specification of maximum permitted emission levels

In this paper we present the detailed calculations which a geolocation database would need to perform in order to derive location-specific maximum permitted emission levels for white space devices (WSDs) operating in digital terrestrial TV (DTT) bands. We introduce a novel methodology for the calculation of such emission levels, whereby the extent of protection afforded to the DTT service is specified in terms of a maximum permitted degradation in the DTT service location probability. We illustrate how national DTT network planning models can be used to provide the necessary parameters for a geolocation database to perform the necessary calculations. We explain how the calculated emission levels need to be post-processed in order to derive consistent WSD regulatory emission limits for the simultaneous protection of multiple DTT channels. We finally use numerical examples to show that the resulting WSD regulatory emission limits can be quite high in areas where the DTT coverage quality is good and the DTT service is therefore relatively immune to interference from WSDs.
Network Coding-Aware Compressive Data Gathering for Energy-Efficient Wireless Sensor Networks

This article investigates the joint application of compressive sensing (CS) and network coding (NC) to the problem of energy-efficient data gathering in wireless sensor networks. We consider the problem of optimally constructing forwarding trees to carry compressed data to projection nodes. Each compressed dataset refers to a weighted aggregation (or sum) of sensed measurements from network sensors collected at one projection node. Projection nodes then forward their received compressed data to the sink, which subsequently recovers the original measurements. This aggregation technique, based on CS, is shown to reduce significantly the number of transmissions in the network. We observe that the presence of multiple forwarding trees gives rise to many-to-many communication patterns in sensor networks that, in turn, can be exploited to perform NC on the compressed data being forwarded on these trees. Such a technique will further reduce the number of transmissions required to gather the measurements, resulting in a better network-wide energy efficiency. This article addresses the problem of NC--aware construction of forwarding/aggregation trees. We present a mathematical model to optimally construct such forwarding trees, which encourage NC operations on the compressed data. Owing to its complexity, we further develop algorithmic methods (both centralized and distributed) for solving the problem and analyze their complexities. We show that our algorithmic methods are scalable and accurate, with worst-case optimality gap not exceeding 3.96% in the studied scenarios. We also show that, when bothNC and compressive data gathering are considered jointly, performance gains (reduction in number of transmissions) of up to 30% may be attained. Finally, we show that the proposed methods distribute the workload of data gathering throughout the network nodes uniformly, resulting in extended network life times.
Patterns for Orchestration Environments

Service oriented architecture (SOA) is an emerging architectural style. SOA builds on insights gained from previous attempts at building systems out of distributed components, using the pull of the Web to succeed where these failed. Service orientation revolves around orchestration. Orchestration deals with the coordination of services comprising SOAs. It provides the means for aggregating services into applications. Orchestration is not a panacea. It involves tradeoffs. As it typically happens, orchestration solves some problems while adding its own problems. Although the fundamental ideas of orchestration are several decades old, orchestration represents uncharted territory for many people. This collection of patterns aims at shedding light over the problems you have to deal with when you use orchestration in your enterprise architecture. The patterns target people who would like to learn about orchestration, people who are evaluating orchestration-related products, and people who are building orchestration-related middleware. In effect, the patterns aim at educating users, helping them make decisions, and communicating with others.
Church Related Continuum of Care Retirement Centers in Oklahoma: Life Satisfaction of Residents

; . : . 53 Introduction . 54 Theoretical Foundation . 56 Life Satisfaction Research . , . , . 58 Research Questions and Hypotheses . 59 Method . : . · . 59 Sample . · . 59 Variables· . · . ; . · . · . 60 Qualitative Methods . ·. 63 Results · . 63 Discussion . 65 Conclusions . ; . , . 69 Implications . 70 Implications for Retirement Centers . 70 Implications for Residents and Families . 71