Miracle-dz/UniFAR-FTUs huggingface dataset:
The Heterogeneous Nature of Number–Space Interactions

It is generally accepted that the mental representation of numerical magnitude consists of a spatial “mental number line” (MNL) with smaller quantities on the left and larger quantities on the right. However, the amount of dissociations between tasks that were believed to tap onto this representational medium is accumulating, questioning the universality of this model. The aim of the present study was to unravel the functional relationship between the different tasks and effects that are typically used as evidence for the MNL. For this purpose, a group of right brain damaged patients (with and without neglect) and healthy controls were subjected to physical line bisection, number interval bisection, parity judgment, and magnitude comparison. Using principal component analysis, different orthogonal components were extracted. We discuss how this component structure captures the dissociations reported in the literature and how it can be considered as a first step toward a new unitary framework for understanding the relation between numbers and space.
Clostridioides difficile 630Δerm in silico and in vivo – quantitative growth and extensive polysaccharide secretion

Antibiotic‐associated infections with Clostridioides difficile are a severe and often lethal risk for hospitalized patients, and can also affect populations without these classical risk factors. For a rational design of therapeutical concepts, a better knowledge of the metabolism of the pathogen is crucial. Metabolic modeling can provide a simulation of quantitative growth and usage of metabolic pathways, leading to a deeper understanding of the organism. Here, we present an elaborate genome‐scale metabolic model of C. difficile 630Δerm. The model iHD992 includes experimentally determined product and substrate uptake rates and is able to simulate the energy metabolism and quantitative growth of C. difficile. Dynamic flux balance analysis was used for time‐resolved simulations of the quantitative growth in two different media. The model predicts oxidative Stickland reactions and glucose degradation as main sources of energy, while the resulting reduction potential is mostly used for acetogenesis via the Wood–Ljungdahl pathway. Initial modeling experiments did not reproduce the observed growth behavior before the production of large quantities of a previously unknown polysaccharide was detected. Combined genome analysis and laboratory experiments indicated that the polysaccharide is an acetylated glucose polymer. Time‐resolved simulations showed that polysaccharide secretion was coupled to growth even during unstable glucose uptake in minimal medium. This is accomplished by metabolic shifts between active glycolysis and gluconeogenesis which were also observed in laboratory experiments.
Robust and Efficient Locality Sensitive Hashing for Nearest Neighbor Search in Large Data Sets

Locality sensitive hashing (LSH) has been used extensively as a basis for many data retrieval applications. However, previous approache s, such as random projection and multi-probe hashing, may exhibit high query comple xity of up toΘ(n) when the underlying data distribution is highly skewed. Thi s is due to the imbalance in the number of data stored per each bucket, which leads to slow query time in large data sets. In this paper, we introduce a distributio n-free LSH algorithm that addresses this problem by maintaining nearly uniform n u ber of points per bucket. As a consequence, our algorithm allows one to reduce the number of hash tables, and is hence memory-efficient, while achieving high accuracy. Through extensive experiments, we show that our algorithm accurate ly retrieves nearest neighbors faster than other standard LSH algorithms do in la rge data sets, and maintains nearly uniform number of per-bucket points.
Atrial Natriuretic Peptide in Young and Elderly Children with Mild Gastroenteritis

Objective. Atrial Natriuretic Peptide (ANP) has natriuretic and diuretic effects, synthesized and stored in the atrial cells, released in response to stretch of the atrial muscle during increase venous return. Acute gastroenteritis (AGE) causes dehydration. We intend to determine whether the decrease in venous return due to dehydration would lead to a decrease in ANP levels. Patients and Methods. This is a prospective observational controlled study. Blood collected from 30 children with AGE and ANP's levels were compared with 25 controls. ANP levels were determined by radioimmunoassay. Results. The study group was in mild dehydration. As a significant difference was found in ANP levels between children in the 3mo–3y group and older children 3y–14y. We analyzed the results according to age. No difference was found between children with AGE and control, in the 3mo–3y, ANP was 12.1 ± 11 pg/ml versus 13.4 ± 12 pg/ml respectively, and 3 ± 2 versus 3.8 ± 3 pg/ml in the 3y–14y groups, respectively. Conclusion. Dehydration due to AGE does not change the ANP's plasma levels. A weak positive correlation between sodium levels and ANP was found r = 0.29. The significant finding of our study is the difference in ANP levels related to age, in the control as well as the GE group.
AVAILABLE MEASUREMENTS IN CURRENT WiMAX NETWORKS AND POSITIONING OPPORTUNITIES

In this paper, we consider the practical issues related to positioning in WiMAX networks depending on the available measurements. The network under study is the Clearwire network deployed in Brus- sels capitol city. The focus lies on making the available terminal-based measurements, study the possibility of using these measurements in positioning and provide a comparison between these measurements depending on the accuracy achieved and the diculty to obtain them.
Endometrial receptivity after oocyte donation in recipients with a history of chemotherapy and/or radiotherapy.

INTRODUCTION Information is scarce regarding the outcome of oocyte donation (OD) in patients with a history of cancer treatment. Therefore, we conducted a matched controlled analysis on the outcome of OD in these recipients. METHODS Between January 2000 and November 2005, 33 patients with a history of chemotherapy and/or radiotherapy had an OD cycle. Matching was performed to the chronologically closest patient without a history of cancer therapy by number of days of hormonal stimulation before embryo replacement, number of replaced embryos, day of embryo transfer and origin of sperm. RESULTS The primary diseases of the patients were Hodgkin's lymphoma (n = 12), non-Hodgkin's lymphoma (n = 3), leukaemia (n = 7), ovarian cancer (n = 6), Ewing's sarcoma (n = 2), breast cancer (n = 1), sympathoblastoma (n = 1) and histiocytosis X (n = 1). Twenty-three patients had undergone chemotherapy and radiotherapy, nine patients chemotherapy only and one radiotherapy only. The mean age of the recipients was 33.1 years [95% confidence interval (CI) 30.9-35.3] and 39.6 (95% CI 37.1-42.1) in the study and control groups, respectively. The average number of received oocytes and transferred embryos, was similar in both groups. Nineteen (57.6%) versus 13 (39.4%) pregnancies resulting in an ongoing pregnancy (i.e. viable at 12 weeks) in 15 (45.4%) versus 9 cycles (27.3%) (NS) were obtained in study and control groups, respectively. Implantation rate in study and control groups was 35.8 versus 17.9%, respectively (P = 0.02). CONCLUSIONS The results suggest that patients with a history of cancer treatment have a pregnancy rate after OD similar to that in the general population of oocyte recipients.
The evolution of sex‐determining mechanisms: lessons from temperature‐sensitive mutations in sex determination genes in Caenorhabditis elegans

Sexual reproduction is one of the most taxonomically conserved traits, yet sex‐determining mechanisms (SDMs) are quite diverse. For instance, there are numerous forms of environmental sex determination (ESD), in which an organism’s sex is determined not by genotype, but by environmental factors during development. Important questions remain regarding transitions between SDMs, in part because the organisms exhibiting unique mechanisms often make difficult study organisms. One potential solution is to utilize mutant strains in model organisms better suited to answering these questions. We have characterized two such strains of the model nematode Caenorhabditis elegans. These strains harbour temperature‐sensitive mutations in key sex‐determining genes. We show that they display a sex ratio reaction norm in response to rearing temperature similar to other organisms with ESD. Next, we show that these mutations also cause deleterious pleiotropic effects on overall fitness. Finally, we show that these mutations are fundamentally different at the genetic sequence level. These strains will be a useful complement to naturally occurring taxa with ESD in future research examining the molecular basis of and the selective forces driving evolutionary transitions between sex determination mechanisms.
Hand and body association in crowded environments for human-robot interaction

For mobile robot navigation in crowded environments, hand and body tracking to enable seamless human-robot interaction is a challenging problem. Many existing methods simplify the task with static camera assumptions, initial calibration stages, or ad hoc pose constraints, making them difficult to be applied to assistive robots used for healthcare applications. This paper introduces a method of hand-body association suitable for crowded environments, by incorporating depth cameras. A robust human hand and body detector, optimized for crowded environments, is first introduced. This is followed by a probabilistic framework for associating hands and bodies. Geodesic distances, based on depth information, are employed to isolate points local to a hand, regardless of their Euclidean proximity to points in other regions. This facilitates subsequent hand-body association based on a Bayesian framework with increased association robustness. The accuracy of the proposed method is evaluated using a range of parameters against an existing approach. A public dataset has been created to assess the method's practical value in crowded environments.
Identification of Swirling Flow in 3-D Vector Fields

An algorithm for identifying the center of swirling flow in 3-D discretized vector fields has been developed. The algorithm is based on critical point theory and has been implemented as a visualization tool within pV3, a package for visualizing 3-D transient data. The scheme works with gridding supported by pV3: structured meshes as well as unstructured grids composed of tetrahedra, polytetrahedral strips, hexahedra, pyramids, and/or prism cells. The results have been validated using artificially-generated vector fields and 3-D CFD data.
RoutePlanner Model - Support for Financial Brokers Using Visualization to Enhance Insight into Information

This paper considers the needs of financial brokers seeking to use information visualization to transform raw data in a data warehouse into enhanced insight, so as to identify marketing opportunities and better inform their clients. We introduce a model of the visualization process, called RoutePlanner, which was developed from a theoretical perspective. RoutePlanner comprises guidelines and stages for the identification of the data to be visualized, the selection of appropriate visualization methods, and the evaluation of the visualizations. In a collaborative process with a data expert and a visualization expert, the domain experts (brokers) were oriented in the use of RoutePlanner. They evaluated each stage of RoutePlanner positively, as well as the visualization process as a whole. The selected visualizations were successful in terms of the enhanced insight they provided, and the brokers who participated in the study were able to better inform and advise their clients in financial planning sessions. Key terms: Domain analysis, evaluation, guidelines, identification, selection, visualization methods, information visualization.
Heavy hexaquarks in a chiral constituent quark model

We discuss the stability of hexaquark systems of type uuddsQ (Q=c or b) within a chiral constituent quark model which successfully describes the baryon spectra including the charmed ones. We find these systems highly unstable against strong decays and give a comparison with some of the previous literature.
Mass data storage system for campus network based on cloud computing

With network developed quickly and used widely, how to store mass data has become a problem we have to face. Traditional methods usually add more servers into to increase computing speed and storage ability, while the hardware cost is very expensive and the storage efficiency is low. Through deep study of MapReduce programming model and Hadoop framework, this paper presented a mass data storage model based on Hadoop framework, then we designed and implemented a mass data storage system for campus network based on cloud computing. This system can effectively solved issues in mass data storage management in teaching and study. This system is cheap, easily operated, fast dealing and stable.
CONTEXT-AWARE THREAT MODELING AND HISTORY MANAGEMENT IN PERVASIVE ENVIRONMENT

Context-awareness is the ability of computing systems to acquire and reason about the situational context and adapt application accordingly. Context-aware system start with gathering of raw, low-level contextual data, interpret the raw contextual data into high-level interpreted context, reason the interpreted context to derive implications and adapt the application behavior on the basis of the implications. The paper identifies the components of contextaware computing and elaborates the context-aware process with the issues in each stage. In pervasive computing, a user might be part of various security domains at any particular instant of time having various authentication mechanisms and different privileges in different security domains. The paper presents a threat modeling approach for pervasive computing and presents the model for threat modeling and risk analysis in pervasive environment. A history module using modular approach is presented in conjunction with existing context-aware systems to provide user preference on the basis of usage history.
Indole Acts as an Extracellular Cue Regulating Gene Expression in Vibrio cholerae

ABSTRACT Indole has been proposed to act as an extracellular signal molecule influencing biofilm formation in a range of bacteria. For this study, the role of indole in Vibrio cholerae biofilm formation was examined. It was shown that indole activates genes involved in vibrio polysaccharide (VPS) production, which is essential for V. cholerae biofilm formation. In addition to activating these genes, it was determined using microarrays that indole influences the expression of many other genes, including those involved in motility, protozoan grazing resistance, iron utilization, and ion transport. A transposon mutagenesis screen revealed additional components of the indole-VPS regulatory circuitry. The indole signaling cascade includes the DksA protein along with known regulators of VPS production, VpsR and CdgA. A working model is presented in which global control of gene expression by indole is coordinated through σ54 and associated transcriptional regulators.
Using RASTA-PLP for discriminating between different Neurological diseases

The aim of this study is to discriminate between patients with Parkinson's disease and patients who suffer from other Neurological disorders by analyzing voice recordings in cepstral domain. The technique used in this study is to extract cepstral coefficient of ReAlitive SpecTrAl PLP (RASTA-PLP). The extracted RASTA-PLP cepstral coefficients were compressed by calculating their average value in order to get the Voiceprint from each voice recording. For classification, we used Leave one subject out validation scheme along with SVM supervised learning classifier. The best obtained accuracy was 85%.
Uncovering access control weaknesses and flaws with security-discordant software clones

Software clone detection techniques identify fragments of code that share some level of syntactic similarity. In this study, we investigate security-sensitive clone clusters: clusters of syntactically similar fragments of code that are protected by some privileges. From a security perspective, security-sensitive clone clusters can help reason about the implemented security model: given syntactically similar fragments of code, it is expected that they are protected by similar privileges. We hypothesize that clones that violate this assumption, defined as security-discordant clones, are likely to reveal weaknesses and flaws in access control models. In order to characterize security-discordant clones, we investigated two of the largest and most popular open-source PHP applications: Joomla! and Moodle, with sizes ranging from hundred thousands to more than a million lines of code. Investigation of security-discordant clone clusters in these systems revealed several previously undocumented, recurring, and application-independent security weaknesses. Moreover, security-discordant clones also revealed four, previously unreported, security flaws. Results also show how these flaws were revealed through the investigation of as little as 2% of the code base. Distribution of weaknesses and flaws between the two systems is investigated and discussed. Potential extensions to this exploratory work are also presented.
Network System Survivability: A Survey

Key sectors of our society are becoming increasingly dependent upon highly distributed network systems, whose survivability is an unsolved science problem. This paper surveys and discusses research results in recent years, including definition and development of survivability system, survivability analysis and architecture. At the end, this paper points out the key problems of survivability research from view of theory and technology.
Docker based overlay network performance evaluation in large scale streaming system

Docker, the most popular container technique today, has accepted by more and more people and companies. It achieves agility and controls for Development and IT Operations teams to build, ship, and run any app, anywhere. Taking Docker's advantages, enterprises are able to leverage big data analytics more efficiently. In this paper, we use two network modes in Docker when building one Spark based streaming application. To get better achievement we design one experimental system to investigate performance between host and overlay network mode from different aspects. Through our working, we find host mode is faster overlay mode around 8%. At the same time, the overlay mode is more stable. We introduce coefficient of variation to see the difference of transfer latency among every package and overlay mode is better than host mode more than 50%. Therefore, overlay network mode is more suitable for the business with high quality requirement of network jitter like video conference. On the other hand, when need to get higher transfer latency, host mode is better choice.
Improving the Quality and Efficiency of 3 D Immersive Interactive Cloud Based Services by Providing an Adaptive Application Framework for Better Service Provisioning

Cloudifying 3D interactive multimedia applications is a promising way to provide flexible and cost efficient online high bandwidth immersive services to a large population of end users. One main reason cloud systems are popular among users is the fact that it relaxes the hardware requirements for high-end interactive visual applications. As most of the computational tasks are done on cloud servers, users no longer need to upgrade their hardware frequently to keep up with the ever increasing high end computing requirements of the latest applications. Moreover, cloud systems make it easier for a user to enjoy applications on different platforms, including mobile devices that are usually not powerful enough to run high-end, memory intensive services. In short, cloudifying high end immersive applications has advantages in cost efficiency and flexibility both for the end users and the service providers. There are two main drawbacks to cloudifying 3D interactive multimedia services: 1) latency and 2) high bandwidth utilization. We address these two problems in this paper.
Change and continuity in the 2000 and 2002 elections

The Republicans once dominated the presidency, the Democrats, Congress - what happened? And what lies in wait for these parties and any others that join the fray? In Change and Continuity, Abramson, Aldrich, and Rohde add clarity on voting choices, evaluations of past performance, the role of partisan loyalties, patterns of alignment and party dominance. With their unsurpassed analysis of elections data, the authors put the controversial 2000 presidential election in historical context and examine in-depth the most recent congressional elections. The eleventh and twelfth books in the series, these intensely researched volumes bring current election analysis into the classroom without the intimidating statistics. Using data from National Election Studies, Gallup polls, exit polls, and official election returns, the authors present a clear and robust picture of American political behavior.
The New Vulnerability of Service Set Identifier (SSID) Using QR Code in Android Phone

Wireless network is one of the 2010s most important security issues. As smartphone(android) is popularize, the number of Wireless Internet users is really growing and wireless AP spring up everywhere. But most wireless AP have not being managed properly in terms of security, Wireless Internet users also dont recognize important of security. This situation causes grave security threats. This paper design and analyze a new cyber attack whose it circulates malware via QR code and activates Mobile AP to induce service charge. The new vulnerability we suggest forces to activate Mobile AP of smartphone based on Android and responds to all probe request are generated around, and brings induction of service charge and communication problems in its train.
Single-Cell Electric Lysis on an Electroosmotic-Driven Microfluidic Chip with Arrays of Microwells

Accurate analysis at the single-cell level has become a highly attractive tool for investigating cellular content. An electroosmotic-driven microfluidic chip with arrays of 30-μm-diameter microwells was developed for single-cell electric lysis in the present study. The cellular occupancy in the microwells when the applied voltage was 5 V (82.4%) was slightly higher than that at an applied voltage of 10 V (81.8%). When the applied voltage was increased to 15 V, the cellular occupancy in the microwells dropped to 64.3%. More than 50% of the occupied microwells contain individual cells. The results of electric lysis experiments at the single-cell level indicate that the cells were gradually lysed as the DC voltage of 30 V was applied; the cell was fully lysed after 25 s. Single-cell electric lysis was demonstrated in the proposed microfluidic chip, which is suitable for high-throughput cell lysis.