Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk of diffuse large B‐cell lymphoma after solid organ transplantation in the United States

Non‐Hodgkin lymphoma arising in the context of immunosuppression is an important adverse outcome after solid organ transplantation. Diffuse large B‐cell lymphoma (DLBCL) is the most commonly diagnosed subtype of post‐transplantation non‐Hodgkin lymphoma, but few studies of transplant recipients have examined subtype‐specific risks. Therefore, we examined DLBCL risk in the Transplant Cancer Match Study, including registry‐based cancer ascertainment among 96,615 solid organ transplants performed from 2000 to 2008. We determined standardized incidence ratios (SIRs) and 95% confidence intervals comparing DLBCL risk in transplant recipients with that in the general population, and used multivariable Poisson regression models to assess the impact of potential risk factors. We identified 321 incident cases of DLBCL, over 12 times more than expected based on general population rates (SIR = 12.6, 95% confidence interval = 11.2–14.0). SIRs were highest in young recipients and those receiving a lung or pancreas/kidney–pancreas transplant, and were greatly elevated for extranodal DLBCLs at the site of the transplantation compared with other sites. DLBCL risk was highest in the first year following transplantation, and SIRs for early‐onset DLBCL risk were elevated in association with Epstein‐Barr virus‐negative serostatus and use of polyclonal antibody induction therapy. In conclusion, associations between recipient and transplant factors and post‐transplantation DLBCL risk suggest a complicated interrelationship among multiple risk factors and timing of disease. Am. J. Hematol. 89:714–720, 2014. © 2014 Wiley Periodicals, Inc.
Bearings-Only Target Motion Analysis via Instrumental Variable Estimation

This paper deals with the instrumental variable (IV) estimation for the problem of target motion analysis from bearing-only measurements (BO-TMA). By taking asymptotical analysis of the IV estimation, a systematic method for developing consistent IV estimate and the sufficient condition for its asymptotical normality are proposed. The asymptotical covariance of IV estimate is also derived explicitly which can be used to evaluate its performance. These results generalize the previous studies and enhance the application of the IV estimation in target tracking. Numerical examples are shown to verify the theoretical results.
Webis at TREC 2015: Tasks and Total Recall Tracks

In this paper we give a brief overview of the Webis group’s participation in the TREC 2015 Tasks and Total Recall tracks. Inthe task understanding subtask of the Tasks track, we use di � erent data sources (AOL query log, Freebase, etc.) and APIs (Google, Bing, etc.) to retrieve topics related to a given query. All sources are combined in our SQuare system. The task completion subtask is based on combining the re-sults of our ChatNoir 2 for the di � erent topics identiﬁed in the task understanding subtask. Finally, for the ad-hoc sub-task (similar to the previous years’ Web tracks), we use an axiomatic re-ranking approach of the search results obtained from ChatNoir 2. In the Total Recall track, we employ a simple SVM base-line with variable batch sizes equipped with a keyqueries step to identify potentially relevant documents.
Global assessment of the potential effect of large sand replenishment on fresh groundwater resources

Sand replenishments, or nourishments, have been the prevalent strategy of the Netherlands for coastal protection since 1990. In consideration of the expected sea level rise and potential increases of storm surges as a result of climate change, an innovative pilot project known as the ‘Sand Engine’ has been implemented. In contrast with traditional replenishments that are repeated with 3 to 5 year intervals, this local mega-nourishment is expected to protect the coastline for a period of at least 20 years. As sand replenishments are a widely applied technique, the concept of the Sand Engine, if proven successful, could be an effective solution for other areas of the world as well. This study looks into the potential effects of a large-scale sand replenishment on fresh groundwater resources, on four coastal areas in different parts of the world where such a project could be applied. These effects were quantified using 2-D variable density groundwater flow and coupled salt transfer models, by simulating the fresh-saline water interface before and after the replenishment, and comparing the results based on the current sea level and weather conditions with those based on scenarios of climate change. The results show that a large sand replenishment can lead to a considerable increase in the fresh groundwater volume, offering an opportunity to combine coastal protection with an increase of freshwater availability for areas with limited water resources.
WSD based on mutual information and syntactic patterns

This paper describes a hybrid system for WSD, presented to the English all-words and lexical-sample tasks, that relies on two different unsupervised approaches. The first one selects the senses according to mutual information proximity between a context word a variant of the sense. The second heuristic analyzes the examples of use in the glosses of the senses so that simple syntactic patterns are inferred. This patterns are matched against the disambiguation contexts. We show that the first heuristic obtains a precision and recall of . 58 and . 35 respectively in the all words task while the second obtains . 80 and . 25. The high precision obtained recommends deeper research of the techniques. Results for the lexical sample task are also provided.
The Transcriptional Innate Immune Response to flg22. Interplay and Overlap with Avr Gene-Dependent Defense Responses and Bacterial Pathogenesis1[w]

Animals and plants carry recognition systems to sense bacterial flagellin. Flagellin perception in Arabidopsis involves FLS2, a Leu-rich-repeat receptor kinase. We surveyed the early transcriptional response of Arabidopsis cell cultures and seedlings within 60 min of treatment with flg22, a peptide corresponding to the most conserved domain of flagellin. Using Affymetrix microarrays, approximately 3.0% of 8,200 genes displayed transcript level changes in flg22 elicited suspension cultures and seedlings. FLARE (Flagellin Rapidly Elicited) genes mostly encode signaling components, such as transcription factors, protein kinases/phosphatases, and proteins that regulate protein turnover. Approximately 80% of flg22-induced genes were also up-regulated in Arabidopsis seedlings treated with cycloheximide. This suggests that many FLARE genes are negatively regulated by rapidly turned-over repressor proteins. Twenty-one tobacco Avr9/Cf-9 rapidly elicited (ACRE) cDNA full-length sequences were used to search for their Arabidopsis orthologs (AtACRE). We identified either single or multiple putative orthologs for 17 ACRE genes. For 13 of these ACRE genes, at least one Arabidopsis ortholog was induced in flg22-elicited Arabidopsis suspension cells and seedlings. This result revealed a substantial overlap between the Arabidopsis flg22 response and the tobacco Avr9 race-specific defense response. We also compared FLARE gene sets and genes induced in basal or gene-for-gene interactions upon different Pseudomonas syringae treatments, and infer that Pseudomonas syringae pv tomato represses the flagellin-initiated defense response.
A BLE RSSI ranking based indoor positioning system for generic smartphones

Indoor navigation in physical retail type spaces aids the navigation of users to find physical items at known destinations. WiFi Fingerprinting using a mobile phone is perhaps the most widely used method. However, this is power-hungry, and its typical positioning accuracy (2.0 to 3.0 meters) is not enough to differentiate between adjacent narrow aisles to locate items. In this paper, we present a novel (Bluetooth Low Energy) BLE Received Signal Strength Indication (RSSI) ranking based fingerprinting method that uses Kendall Tau Correlation Coefficient (KTCC) to correlate a new signal position with the signal strength ranking of multiple low-power iBeacon devices situated in a retail space. This offers a higher positioning accuracy and is supported in recent smartphones. An important source of error is the RSSI, which varies depending on the model and orientation of the phone. We present a novel way to mitigate this. We validated our method in a retail-like indoor space of Queen Mary Library. We achieved an average positioning error of 0.87 meters which was sufficient to differentiate between physical space aisles.
ViVoLab and CVLab - MediaEval 2014: Violent Scenes Detection Affect Task

This paper describes the ViVoLab/CVLab system to provide segments of violent scenes from Hollywood movies and “wild-user” videos from the internet. We propose a system based on a fusion of acoustic features, audio concepts and video features. Our joint audio-visual approach achieves MAP2014 values of 17.81% and 43.03%, for the main task and the generalization task, respectively.
Control-flow speculation through value prediction for superscalar processors

In this paper, we introduce a new branch predictor that predicts the outcomes of branches by predicting the value of their inputs and performing an early computation of their results according to the predicted values. The design of a hybrid predictor comprising our branch predictor and a correlating branch predictor is presented. We also propose a new selector that chooses the most reliable prediction for each branch. This selector is based on the path followed to reach the branch. Results for immediate updates show a significant improvement with respect to a conventional hybrid predictor for different size configurations. In addition, the proposed hybrid predictor with a size of 8 KB achieves the same miss ratio as a conventional one of 64 KB. Performance evaluation for a dynamically-scheduled superscalar processor, with realistic updates, shows a speed-up of 11% despite its higher latency (up to 4 cycles).
Comparitive Study on Cold Formed Light Gauge Steel AngleSections and Channel Sections of Compression Members

The comparative study on cold formed light gauge steel angle sections and channel sections of compression members using the finite element software by using ABAQUS CAE version 6.14 was used to model the angle & channel specimens. The present study focuses mainly on the investigation of inelastic behavior of a fixed end and the other end is pin-terminated cold-formed lightgauge steel angles and channel sections of compression members using the technique Modern. For finite element analysis general purpose ABAQUS CAE Version 6.14 software has been used three different nominal section sizes are tested. The cold formed light gauge steel angle sections and channel sections of specimens should be studied for the same b/t ratio such as 25, 25 and 25. The length is varied and the thickness (2 mm) remains constant for angled sections and channel specimens. These specimens are analyzed for different lengths such as 400 mm, 500 mm, and 600 mm. For the same relation b/t that increases the length, the load capacity of the section decreases due to the slenderness effect. The length of a compression member increases then it reduces the load carrying capacity of a member.
History-Dependent Attractor Neural Networks

We present a methodological framework enabling a detailed description of the performance of Hopfield-like attractor neural networks (ANN) in the first two iterations. Using the Bayesian approach, we find that performance is improved when a history-based term is included in the neuron's dynamics. A further enhancement of the network's performance is achieved by judiciously choosing the censored neurons (those which become active in a given iteration) on the basis of the magnitude of their post-synaptic potentials. The contribution of biologically plausible, censored, history-dependent dynamics is especially marked in conditions of low firing activity and sparse connectivity, two important characteristics of the mammalian cortex. In such networks, the performance attained is higher than the performance of two 'independent' iterations, which represents an upper bound on the performance of history-independent networks.
An Unsupervised System for Identifying English Inclusions in German Text

We present an unsupervised system that exploits linguistic knowledge resources, namely English and German lexical databases and the World Wide Web, to identify English inclusions in German text. We describe experiments with this system and the corpus which was developed for this task. We report the classification results of our system and compare them to the performance of a trained machine learner in a series of in- and cross-domain experiments.
Acm Sigsoft Software Engineering Notes Vol 17 No 4 Foundations for the Study of Software Architecture

The purpose of this paper is to build the foundation for software architecture. We first develop an intuition for software architecture by appealing to several well-established architectural disciplines. On the basis of this intuition, we present a model of software architecture that consists of three components: elements, form, and rationale. Elements are either processing, data, or connecting elements. Form is defined in terms of the properties of, and the relationships among, the elements-that is, the constraints on the elements. The rationale provides the underlying basis for the architecture in terms of the system constraints, which most often derive from the system :requirements. We discuss the components of the model in the context of both architectures and architectural styles and present an extended example to illustrate some important architecture and style considerations. We conclude by presenting some of the benefits of our approach to software architecture, summarizing our contributions, and relating our approach to other current work.
Improving Integer Security for Systems with KINT

Integer errors have emerged as an important threat to systems security, because they allow exploits such as buffer overflow and privilege escalation. This paper presents KINT, a tool that uses scalable static analysis to detect integer errors in C programs. KINT generates constraints from source code and user annotations, and feeds them into a constraint solver for deciding whether an integer error can occur. KINT introduces a number of techniques to reduce the number of false error reports. KINT identified more than 100 integer errors in the Linux kernel, the lighttpd web server, and OpenSSH, which were confirmed and fixed by the developers. Based on the experience with KINT, the paper further proposes a new integer family with NaN semantics to help developers avoid integer errors in C programs.
Extracting Food Substitutes From Food Diary via Distributional Similarity

In this paper, we explore the problem of identifying substitute relationship between food pairs from real-world food consumption data as the first step towards the healthier food recommendation. Our method is inspired by the distributional hypothesis in linguistics. Specifically, we assume that foods that are consumed in similar contexts are more likely to be similar dietarily. For example, a turkey sandwich can be considered a suitable substitute for a chicken sandwich if both tend to be consumed with french fries and salad. To evaluate our method, we constructed a real-world food consumption dataset from MyFitnessPal's public food diary entries and obtained ground-truth human judgements of food substitutes from a crowdsourcing service. The experiment results suggest the effectiveness of the method in identifying suitable substitutes.
COMPARATIVE ANALYSIS OF FINANCIAL INCLUSION IN DEVELOPING REGIONS AROUND THE WORLD

Financial inclusion is perceived as an enabler of poverty reduction around the world and today is in agenda of all policy makers in both developed and developing countries. In order to emphasize the importance of financial inclusion and provide an insight to the level of financial inclusion around the world, this paper investigates the extent of financial inclusion in different developing regions around the world. The paper investigates developing regions (Eastern, South and Central Asia, Latin America, Sub-Saharan Africa, and the Western Balkans) because population of these regions is at the highest risk of financial exclusion. Using secondary data from existing the Global Findex data base, this paper shows low levels of financial inclusion in developing regions.
The Peasant Family and Rural Development in the Yangzi Delta, 1350-1988

1. Introduction Part I. To 1949: 2. The Yangzi Delta ecosystem 3. Commercialization and family production 4. Commercialization and managerial agriculture 5. Commercialization and involutionary growth 6. Peasants and markets 7. Imperialism, urban development, and rural involution 8. Two kinds of village communities Part II. After 1949: 9. restructuring the old political economy 10. Collective, family, and sideline production 11. Growth versus development in agriculture 12. Rural industrialization 13. Capitalism versus socialism in rural development 14. Peasant-worker villages Part III. Conclusion: 15. A summing up 16. Some speculations Appendixes References Character list Index.
Land Cover Map 2015 (vector, GB)

This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is the latest in a series of land cover maps, which began with Land Cover Map of Great Britain (LCMGB) in 1990 (LCMGB is now often referred to as LCM1990), and was followed by Land Cover Maps for 2000 and 2007 (LCM2000 and LCM2007 respectively), both of which covered the entire UK. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.
A Transit Signal Priority Algorithm under Connected Vehicle Environment

Transit signal priority is a cost-effective way to improve transit operations and reliability. Connected vehicles provide more precise and detailed information on vehicle movements, thus can be beneficial for transit signal priority. This paper proposes a transit signal priority algorithm using connected vehicle information. Simulation is conducted for different total flow, bus arrivals, bus occupancy and penetration rates. Results show that this algorithm successfully reduces the total passenger delay. It is also shown that this algorithm is not sensitive to the assumed occupancy, hence does not require accurate information on bus occupancy. Additionally, this algorithm significantly reduces the delay of buses with minimal increase to the delay of cars in the conflicting approach.
On the ergodic capacity of cooperative spatial multiplexing systems in composite channels

The ergodic capacity of cooperative spatial multiplexing systems over composite channels is presented. Specifically, we derive the exact closed-form expressions for ergodic capacity of cooperative spatial multiplexing systems with linear receiver in the composite channel of log-normal shadowing and Rayleigh fading. Using the Gauss-Hermite quadrature integration, the final analytical result of ergodic capacity is described in a closed-form expression. We also perform Monte-Carlo simulations to validate our analysis. Subsequently, we apply the obtained analytical expression to evaluate some representative scenarios regarding to spatial multiplexing gain in relay composite channels.
Clathrin Mediates Endocytosis and Polar Distribution of PIN Auxin Transporters in Arabidopsis[W]

This work demonstrates that clathrin-dependent endocytosis exists in plants. Moreover, it shows that clathrin function is required for polarity of PIN auxin transporters, auxin distribution, and associated developmental processes. Endocytosis is a crucial mechanism by which eukaryotic cells internalize extracellular and plasma membrane material, and it is required for a multitude of cellular and developmental processes in unicellular and multicellular organisms. In animals and yeast, the best characterized pathway for endocytosis depends on the function of the vesicle coat protein clathrin. Clathrin-mediated endocytosis has recently been demonstrated also in plant cells, but its physiological and developmental roles remain unclear. Here, we assessed the roles of the clathrin-mediated mechanism of endocytosis in plants by genetic means. We interfered with clathrin heavy chain (CHC) function through mutants and dominant-negative approaches in Arabidopsis thaliana and established tools to manipulate clathrin function in a cell type–specific manner. The chc2 single mutants and dominant-negative CHC1 (HUB) transgenic lines were defective in bulk endocytosis as well as in internalization of prominent plasma membrane proteins. Interference with clathrin-mediated endocytosis led to defects in constitutive endocytic recycling of PIN auxin transporters and their polar distribution in embryos and roots. Consistent with this, these lines had altered auxin distribution patterns and associated auxin transport-related phenotypes, such as aberrant embryo patterning, imperfect cotyledon specification, agravitropic growth, and impaired lateral root organogenesis. Together, these data demonstrate a fundamental role for clathrin function in cell polarity, growth, patterning, and organogenesis in plants.
An ISSR-based genetic diversity analysis of Malus sieversii in Tienshan Mountains in Xinjiang, China and Kyrgyzstan

Malus sieversii constitute a valuable genetic resource in wild apple ecosystems. The aim of this study was to use inter-simple sequence repeat (ISSR) primers as an accessible tool to investigate the genetic diversity in Malus sieversii species. The experimental materials include 34 samples from Kyrgyzstan and Xinjiang of China. A total of 125 bands and 98 polymorphic bands were amplified using 47 ISSR primers. The polymorphism rate was 78.4%. The genetic similarity coefficient of Kyrgyzstan and Xinjiang of China population was 0.68; the genetic similarity coefficient of various populations in Xinjiang was 0.72~0.94. The samples in same population got into a category, but some samples in faraway geographic locations have cross clustering. Geographical isolation hindered the gene exchange of Malus sieversii in different populations for a long time, and Malus sieversii developed along the natural selection environment direction and generate genetic differentiation after that.
Fuzzy Logic Tracking Control for Unicycle Mobile Robots

This paper addresses the problem of trajectory tracking control in an autonomous, wheeled, mobile robot of unicycle type using Fuzzy Logic. The Fuzzy Logic Control (FLC) is based on a backstepping approach to ensure asymptotic stabilization of the robot's position and orientation arou nd the desired trajectory, taking into account the kinematics and dynamics of the vehicle. We use the Mamdani inference system to construct a controller, with nine IF-THEN rules and the centroid of area method as our deffuzification strategy where the inpu t torques and velocities are considered as linguistic variab les. The performance of this FLC are illustrated in a simulation study.