Miracle-dz/UniFAR-FTUs huggingface dataset:
Morning and Afternoon Response to Exercise Using Two Test Protocols

The purpose was to investigate time of day on responses to two types of exhaustive cycle ergometer tests. Sixteen males performed six exercise tests: three - constant power protocol and three - incremental protocol. The first test was a learning trial; the other tests were performed one in the morning and one in the afternoon. ANOVA revealed that O2 deficit and lactate were higher in the afternoon than the morning. Regardless of test type, time to exhaustion tended to be higher in the afternoon. VO2max was unaffected by the time of day and test type. These results confirmprevious reports of a time of day effect on anaerobic capacity, and support the contention that V02max is stable about a day.
Hybrid Text Summarization: Combining External Relevance Measures with Structural Analysis

In this paper, a novel linguistically advanced text summarization system is described for reducing the minimum size of highly readable variable-sized summaries of digitized text documents produced by text summarization methods that use discourse analysis to rank sentences for inclusion in the final summary. The basic algorithm used in FXPAL’s PALSUMM text summarization sys-tem combines text structure methods that preserve readability and correct reference resolution with statistical methods to reduce overall sum-mary length while promoting the inclusion of important material.
A Service-oriented Measurement Infrastructure for Cloud Computing Environments

With an ever-increasing number of services being moved to cloud computing platforms, it is essential for data centre operators to quickly identify any problems in their network in order to ensure optimal performance and provide guidance for when actions such as migration of computing instances are required. This paper introduces a distributed measurement infrastructure using low-cost in-line link measurements to reveal the true traffic-perceived service quality in short timescales. In-line measurement is highly relevant for data centres as it allows an accurate measure of important network services without the problem of injecting artificial traffic into a network with high contention for resources. The infrastructure presented allows real-time monitoring and visualisation of the state of the network, which can be used to inform virtual machine migration/instantiation events. We show that the in-line measurements used by the infrastructure have negligible impact on network traffic and the hosts conducting the measurements. The low overhead of in-line measurements potentially enables the infrastructure to function as an always-on measurement and management platform.
On the design of reliable 3D-ICs considering charged device model ESD events during die stacking

This paper studies charged device model electrostatic discharge (CDM-ESD) events in die stacking process of 3D-ICs and investigates CDM-ESD protection circuits for individual TSVs to prevent high voltage stress on transistor connected to TSV. The models for power, area, delay, and signal integrity of TSVs considering ESD protection are presented. The models are used to drive a methodology to design reliable 3D-ICs considering CDM-ESD while minimizing the overheads. We study the impact of ESD protection on die-to-die asynchronous interface circuit.
Fusing MODIS , MISR and CERES Satellite Data for Aerosol Research

Fusing MODIS, MISR and CERES Satellite Data for Aerosol Research Sundar A. Christopher, Pawan Gupta and Falguni Patadia The University of Alabama in Huntsville Huntsville, AL 35805 sundar@nsstc.uah. edu Abstract Combining data sets from multiple satellite sensors is a powerful method for studying earth-atmosphere problems. By fusing data, we can utilize the strengths of the individual instruments that may not be otherwise possible. In this paper we provide the framework for combining level 2 data products from three sensors on board NASA’s Terra satellite. The goal of this paper is to demonstrate the merging of top of atmosphere reflected solar radiative energy fluxes (from the Clouds and the Earth’s Energy Radiant Energy System, CERES) with multi-spectral (from the Moderate Resolution Imaging SpectroRadiometer, MODIS) and multi-spectral, multi-angle (Multi-angle imaging Spectroradiometer, MISR) data sets. We specifically focus upon combining the pixel level CERES TOA fluxes with the Level 2 MODIS and MISR aerosol products. Although this project was undertaken specifically to address aerosol research, the methods employed for fusing data can be used for other problems requiring synergistic data sets. We present selected examples over different aerosol regimes and provide recommendations for further research on data fusion. AbstractCombining data sets from multiple satellite sensors is a powerful method for studying earth-atmosphere problems. By fusing data, we can utilize the strengths of the individual instruments that may not be otherwise possible. In this paper we provide the framework for combining level 2 data products from three sensors on board NASA’s Terra satellite. The goal of this paper is to demonstrate the merging of top of atmosphere reflected solar radiative energy fluxes (from the Clouds and the Earth’s Energy Radiant Energy System, CERES) with multi-spectral (from the Moderate Resolution Imaging SpectroRadiometer, MODIS) and multi-spectral, multi-angle (Multi-angle imaging Spectroradiometer, MISR) data sets. We specifically focus upon combining the pixel level CERES TOA fluxes with the Level 2 MODIS and MISR aerosol products. Although this project was undertaken specifically to address aerosol research, the methods employed for fusing data can be used for other problems requiring synergistic data sets. We present selected examples over different aerosol regimes and provide recommendations for further research on data fusion. Abstract
Synthesis, Spectroscopic, and Anticancerous Properties of Mixed Ligand Palladium(II) and Silver(I) Complexes with 4,6-Diamino-5-hydroxy-2-mercaptopyrimidine and 2,2′-Bipyridyl

Synthesis of two new water-soluble mixed ligand [Pd(bpy)(dahmp)]Cl and [Ag(bpy)(Hdahmp)]NO3 complexes (dahmp and Hdahmp are the deprotonated monoanion and the protonated neutral 4,6-diamino-5-hydroxy-2-mercaptopyrimidine, resp.) is reported. The composition of the reported complexes was discussed on the bases of IR, 1H NMR, and mass spectra, as well as conductivity and thermal measurements. The reported complexes display a significant anticancer activity against Ehrlich ascites tumor cells (EACs). The higher activity of these complexes with their higher conductivity values corresponds to their complete ionization in aqueous solution.
Genetic variants of JNK and p38α pathways and risk of non‐small cell lung cancer in an Eastern Chinese population

The JNK and p38α pathways play an important role in carcinogenesis. Therefore, we hypothesize that single nucleotide polymorphisms (SNPs) of genes involved in these pathways are associated with risk of lung cancer. We first selected and genotyped 11 independent SNPs of the JNK and p38α pathway‐related genes in a discovery set of 1,002 non‐small cell lung cancer (NSCLC) cases and 1,025 cancer‐free controls of Eastern Chinese. Then, we validated those significant SNPs in a replication set of 1,333 NSCLC cases and 1,339 cancer‐free controls of Eastern Chinese. Multifactor dimensionality reduction (MDR) and classification and regression tree (CART) analyses were used to identify interactions between significant SNPs and other covariates. In both discovery and replication as well as their pooled analysis, carriers of GADD45G rs8252T variant genotypes had a significantly lower risk of NSCLC (adjusted OR = 0.81 and 0.79, 95% CI = 0.72–0.92 and 0.64–0.99 and p = 0.001 and 0.040 for dominant and recessive genetic models, respectively) and carriers of MAP2K7 rs3679T variant genotypes had an increased risk of NSCLC (adjusted OR = 1.19 and 1.29, 95% CI = 1.05–1.34 and 1.09–1.54 and p = 0.005 and 0.004 for dominant and recessive genetic models, respectively). Furthermore, rs8252 variant CT/TT carriers showed significantly higher levels of GADD45G mRNA expression than CC carriers in the target tissues. We observed some evidence of interactions between rs8252 genotypes and sex in NSCLC risk. These results indicate that GADD45G rs8252 and MAP2K7 rs3679 SNPs may be susceptibility biomarkers for NSCLC in Eastern Chinese populations.
Various Spatiotemporal Expression Profiles of Anther-Expressed Genes in Rice

The male gametophyte and tapetum play different roles during anther development although they are differentiated from the same cell lineage, the L2 layer. Until now, it has not been possible to delineate their transcriptomes due to technical difficulties in separating the two cell types. In the present study, we characterized the separated transcriptomes of the rice microspore/pollen and tapetum using laser microdissection (LM)-mediated microarray. Spatiotemporal expression patterns of 28,141 anther-expressed genes were classified into 20 clusters, which contained 3,468 (12.3%) anther-enriched genes. In some clusters, synchronous gene expression in the microspore and tapetum at the same developmental stage was observed as a novel characteristic of the anther transcriptome. Noteworthy expression patterns are discussed in connection with gene ontology (GO) categories and gene annotations, which are related to important biological events in anther development, such as pollen maturation, pollen germination, pollen tube elongation and pollen wall formation.
Stock Price Prediction Using the ARIMA Model

Stock price prediction is an important topic in finance and economics which has spurred the interest of researchers over the years to develop better predictive models. The autoregressive integrated moving average (ARIMA) models have been explored in literature for time series prediction. This paper presents extensive process of building stock price predictive model using the ARIMA model. Published stock data obtained from New York Stock Exchange (NYSE) and Nigeria Stock Exchange (NSE) are used with stock price predictive model developed. Results obtained revealed that the ARIMA model has a strong potential for short-term prediction and can compete favourably with existing techniques for stock price prediction.
Current State of Art Research Issues and Challenges in Wireless Mesh Networks

Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking, due to independency of backbone networks. However, to make a WMN be all it can be, considerable research efforts are still needed. As the available MAC and routing protocols applied to WMNs do not have enough scalability as throughput drops significantly as the number of nodes or hops increases. Existing security schemes may be effective for certain types of attacks, but they lack a comprehensive mechanism to prevent attacks from different protocol layers. Similar problems exist in other networking protocols. Thus, existing communication protocols, ranging from routing, MAC, and physical layers, need to be revisited and enhanced. In some circumstances, new protocols need to be invented. Researchers have started to revisit the protocol design of existing wireless networks. This paper presents a detailed investigation of current research issues and challenges in wireless mesh networks
Swadloon: Direction Finding and Indoor Localization Using Acoustic Signal by Shaking Smartphones

We propose an accurate acoustic direction finding scheme, Swadloon, according to the arbitrary pattern of phone shaking in a rough horizontal plane. Swadloon leverages sensors of the smartphone without the requirement of any specialized devices. Our Swadloon design exploits a key observation: the relative displacement and velocity of the phone-shaking movement corresponds to the subtle phase and frequency shift of the Doppler effects experienced in the received acoustic signal by the phone. Swadloon tracks the displacement of smartphone relative to the acoustic direction with the resolution less than 1 millimeter. The direction is then obtained by combining the velocity from the displacement with the one from the inertial sensors. Major challenges in implementing Swadloon are to measure the displacement precisely and to estimate the shaking velocity accurately when the speed of phone-shaking is low and changes arbitrarily. We propose rigorous methods to address these challenges, and apply Swadloon to several case studies: Phone-to-Phone direction finding, indoor localization and tracking. Our extensive experiments show that the mean error of direction finding is around 2.1 degree within the range of 32 m. For indoor localization, the 90-percentile errors are under 0.92 m. For real-time tracking, the errors are within 0.4 m for walks of 51 m.
The role of a project-based capstone course

A project-based capstone course aims at using software development skills while performing a project in the course domain. One of our main challenges is to simulate a real world environment so to provide our students with the experience they need. Planning this experience we should consider academic constraints as well as the students' schedule and skills. In this paper, we describe how we implement an agile software development method in a project-based capstone course in the domain of operating systems. We elaborate on how we simulate a real world environment and present a role scheme that is used by the students to manage the process. We suggest a discussion on how to use the role scheme as an assessment tool to measure the development process in general and students' contribution in particular. We expect to extend and refine the comprehension regarding process measurement in students' teams at the academia.
Spatial organization of transcription by RNA polymerase III

RNA polymerase III (pol III) transcribes many essential, small, noncoding RNAs, including the 5S rRNAs and tRNAs. While most pol III-transcribed genes are found scattered throughout the linear chromosome maps or in multiple linear clusters, there is increasing evidence that many of these genes prefer to be spatially clustered, often at or near the nucleolus. This association could create an environment that fosters the coregulation of transcription by pol III with transcription of the large ribosomal RNA repeats by RNA polymerase I (pol I) within the nucleolus. Given the high number of pol III-transcribed genes in all eukaryotic genomes, the spatial organization of these genes is likely to affect a large portion of the other genes in a genome. In this Survey and Summary we analyze the reports regarding the spatial organization of pol III genes and address the potential influence of this organization on transcriptional regulation.
A simulation platform of active distribution network based on co-simulation of GridLAB-D and Matlab

With increasing integrations of distributed generations, technologies of active distribution network (ADN) have been widely discussed. However, there is still lack of tools which are suitable for simulating control actions of ADN until now. For example, different types of software usually have different requirements for control algorithms implementations, which highly increase development and testing costs of ADN controllers. Based on this background, this paper aims at constructing a simulation platform for ADN control schemes based on co-simulation of GridLAB-D and Matlab. GridLAB-D, developed by the U.S. Department of Energy, is a simulation software for distribution networks. It supports power flow-based sequence simulations with no limitation for simulation duration. Matlab, which has been widely considered as a standard tool for numerical algorithms implementations, can be a great help to reduce the algorithm development cost. In this way, with co-simulation of GridLAB-D and Matlab, the simulation requirements of control schemes can be satisfied by the platform introduced by this paper, which has been verified by several typical ADN cases considering various control schemes. As a standard simulation and test platform, it can be a great help for further researches in ADN field.
An Analysis of Fuzzy Clustering and a Hybrid Model for the Auditor's Going Concern Assessment

This study provides a description and testing of fuzzy clustering and a hybrid model that can support the decision an auditor makes when completing the going concern evaluation. Fuzzy clustering is based on fuzzy logic, and the hybrid system is designed to address the going concern decision through the combined use of a statistical model and an expert system. These models have the capability of identifying categories of firms with particular characteristics that may indicate whether or not the audit report of the firms requires a going concern modification. A prediction of whether or not a firm may go bankrupt is included as one of the components of the going concern decision. As a result, if a firm is placed in a particular bankrupt category by a decision model, it may help in the determination of the auditor's opinion regarding the continuity of the business.
Live Cell Imaging of the Nascent Inactive X Chromosome during the Early Differentiation Process of Naive ES Cells towards Epiblast Stem Cells

Random X-chromosome inactivation ensures dosage compensation in mammals through the transcriptional silencing of one of the two X chromosomes present in each female cell. Silencing is initiated in the differentiating epiblast of the mouse female embryos through coating of the nascent inactive X chromosome by the non-coding RNA Xist, which subsequently recruits the Polycomb Complex PRC2 leading to histone H3-K27 methylation. Here we examined in mouse ES cells the early steps of the transition from naive ES cells towards epiblast stem cells as a model for inducing X chromosome inactivation in vitro. We show that these conditions efficiently induce random XCI. Importantly, in a transient phase of this differentiation pathway, both X chromosomes are coated with Xist RNA in up to 15% of the XX cells. In an attempt to determine the dynamics of this process, we designed a strategy aimed at visualizing the nascent inactive X-chromosome in live cells. We generated transgenic female XX ES cells expressing the PRC2 component Ezh2 fused to the fluorescent protein Venus. The fluorescent fusion protein was expressed at sub-physiological levels and located in nuclei of ES cells. Upon differentiation of ES cell towards epiblast stem cell fate, Venus-fluorescent territories appearing in interphase nuclei were identified as nascent inactive X chromosomes by their association with Xist RNA. Imaging of Ezh2-Venus for up to 24 hours during the differentiation process showed survival of some cells with two fluorescent domains and a surprising dynamics of the fluorescent territories across cell division and in the course of the differentiation process. Our data reveal a strategy for visualizing the nascent inactive X chromosome and suggests the possibility for a large plasticity of the nascent inactive X chromosome.
OLLIE: On-Line Learning for Information Extraction

This paper reports work aimed at developing an open, distributed learning environment, OLLIE, where researchers can experiment with different Machine Learning (ML) methods for Information Extraction. Once the required level of performance is reached, the ML algorithms can be used to speed up the manual annotation process. OLLIE uses a browser client while data storage and ML training is performed on servers. The different ML algorithms use a unified programming interface; the integration of new ones is straightforward.
Two Challenges of Stealthy Hypervisors Detection: Time Cheating and Data Fluctuations

Hardware virtualization technologies play a significant role in cyber security. On the one hand these technologies enhance security levels, by designing a trusted operating system. On the other hand these technologies can be taken up into modern malware which is rather hard to detect. None of the existing methods is able to efficiently detect a hypervisor in the face of countermeasures such as time cheating, temporary self uninstalling, memory hiding etc. New hypervisor detection methods which will be described in this paper can detect a hypervisor under these countermeasures and even count several nested ones. These novel approaches rely on the new statistical analysis of time discrepancies by examination of a set of instructions, which are unconditionally intercepted by a hypervisor. Reliability was achieved through the comprehensive analysis of the collected data despite its fluctuation. These offered methods were comprehensively assessed in both Intel and AMD CPUs.
Line-End Shortening is Not Always a Failure

Line-end shortening (LES) has always been considered a catastrophic failure in circuits. However, we find that a device with some LES can continue to function correctly. Such devices have large drive current and reduced capacitance at the expense of much higher leakage current. In this paper, we investigate the power and performance characteristics of devices with LES. Our simulations show that LES does not always cause catastrophic failure of device functionality. However, in this regime LES can lead to parametric failures, aspects of which we investigate .
Molecular properties of fibrin-based matrices for promotion of angiogenesis in vitro.

The molecular properties of fibrin-based matrices, such as fibrillar structure and covalent modifications with adhesion domains, influence the angiogenic behavior of human umbilical vein endothelial cells (HUVECs) in vitro. The fibrillar structure of fibrin-based matrices was influenced by pH but not by covalent incorporation of exogenous adhesion domains. Native fibrin-based matrices polymerized at pH 10 formed organized and longitudinally oriented fibrin fibrils, which provided a good angiogenic substrate for endothelial cells. Furthermore, upon covalent incorporation of the model ligand L1Ig6, which binds to the integrin most prominently expressed on the surface of angiogenic endothelial cells, alpha(v)beta3, these matrices became angiogenesis-promoting when polymerized at physiological pH. The amount of incorporation of L1Ig6 into the matrices depended on the fibrinogen concentration on all three fibrin chains. Soluble forms of L1Ig6 diffused rapidly out of the matrix. Most important, L1Ig6-modified matrices were very specific in inducing the angiogenic phenotype of HUVECs, whereas control cells did not differentiate on these matrices. Our results indicate that artificial extracellular matrices can influence cell behavior in two ways. One way is based on the three-dimensional fibril structure of the matrix molecules themselves, and the other is due to providing specific binding sites for direct cell-matrix interactions that lead to the activation of second-messenger cascades and thus promoting angiogenic differentiation.