Miracle-dz/UniFAR-FTUs huggingface dataset:
OSCAR: Open Source Cluster Application Resources

Open Source Cluster Application Resources (OSCAR) is the packaging of current ”best known practices” for Beowulf cluster computing into a fully integrated, easy to install software suite. Everything needed to install, build, maintain, and use a modest sized Linux cluster is included in the package. Thus, it is unnecessary to search for, download, or even install individual cluster components. OSCAR consists of RPM’s, Perl scripts, libraries, and various cluster tools. OSCAR, and every component included in OSCAR, is available under one of the well known open source licenses or is freely redistributable. OSCAR may be found at http://www.csm. ornl.gov/oscar.
Investigating the e ectiveness of web adblockers

We investigate adblocking lters and the extent to which websites and advertisers react when their content is impacted by these lters. We collected data daily from the Alexa Top5000 web sites for 120 days, and from speci c sites that newly appeared in lter lists for 140 days. By evaluating how long a lter rule triggers on a website, we can gauge how long it remains e ective. We matched websites with both a regular adblocking lter list (EasyList) and with a specialized lter list that targets anti-adblocking logic (Nano Defender). From our data, we observe that the e ectiveness of the EasyList adblocking lter decays a modest 0.13% per day, and after around 80 days seems to stabilize. We found no evidence for any signi cant decay in e ectiveness of the more specialized, but less widely used, anti-adblocking removal lters.
Android App Dissection on the Wandboard – Evolving the Platform Into One-Button Solution

How can Android applications be examined for malicious behavior in a quick and easy manner? Is the process of analysis automatable? Can the results be categorized in an easy way? The growing number of mobile malware for Android and their increasingly complex structures and intelligent concealment techniques are bringing investigative agencies to their limits in regards to personnel and finances. In this paper, we present an innovative approach to an automated, platform overarching and parallelizable investigation of Android applications. In the Introduction, we give an overview of the analysis system and the implemented hybrid analysis methods, which ensure the holistic research of Android apps. The basis of the real device analysis infrastructure is a Preboot Execution Environment (PXE). The developed client-server environment is scalable, extensible and makes it possible to automate and process a large number of apps in parallel. Afterwards, we describe the components, structure and individual configuration of the system. In the next step, we show the functionality of the process flow within the scope of a test data record. Furthermore, we evaluate the developed PXEbased Android analysis infrastructure. The focus hereby lies on criteria like performance, scalability and flexibility.
Covering action on Conley index theory

Abstract In this paper we apply Conley index theory in a covering space of an invariant set S, possibly not isolated, in order to describe the dynamics in S. More specifically, we consider the action of the covering translation group in order to define a topological separation of S which distinguishes the connections between the Morse sets within a Morse decomposition of S. The theory developed herein generalizes the classical connection matrix theory, since one obtains enriched information on the connection maps for non-isolated invariant sets, as well as for isolated invariant sets. Moreover, in the case of an infinite cyclic covering induced by a circle-valued Morse function, one proves that the Novikov differential of f is a particular case of the p-connection matrix defined herein.
Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids

The integration of renewable generation in electricity networks is one of the most widespread strategies to improve sustainability and to deal with the energy supply problem. Typically, the reinforcement of the generation fleet of an existing network requires the assessment and minimization of the installation and operating costs of all the energy resources in the network. Such analyses are usually conducted using peak demand and generation data. This paper proposes a method to optimize the location and size of different types of generation resources in a network, taking into account the typical evolution of demand and generation. The importance of considering this evolution is analyzed and the methodology is applied to two standard networks, namely the Institute of Electrical and Electronics Engineers (IEEE) 30-bus and the IEEE 118-bus. The proposed algorithm is based on the use of particle swarm optimization (PSO). In addition, the use of an initialization process based on the cross entropy (CE) method to accelerate convergence in problems of high computational cost is explored. The results of the case studies highlight the importance of considering dynamic demand and generation profiles to reach an effective integration of renewable resources (RRs) towards a sustainable development of electric systems.
A NUMERICAL APPROACH FOR EFFICIENT CALCULATION OF HUMAN

For the computation of the exposure of workers to radiated fields of base station antennas a procedure which combines the Finite-Difference Time-Domain (FDTD) method and the Hybrid-method has been developed. The HybridMethod is used for the calculation of the antenna currents and fields and the FDTD-method for the calculation of the fields and SAR inside a human body model. Both methods are combined by a discrete formulation of the equivalence principle inside the Yee-mesh of the FDTD-method. Thus, the problem is separated into two sub-problems, the antenna and the human body, and both sub-problems are solved by the most efficient numerical method available. The procedure was applied to compute the electromagnetic field and SAR distribution inside human body models with various body masses of 110 kg and 42 kg in front of commercially available base station antennas. It turns out that the whole body SAR of the 42 kg body model is the limiting factor for the compliance distance. Furthermore, horizontal focusing of the antennas main-beam increases the whole body SAR, whereas vertical focusing has almost no influence on the whole body SAR. Anatomical details of tissue layers located close to the bodys surface can have a significant influence on the whole body SAR.
In vitro anti-HSV-1 activity of a chemically sulfated galactomannan from Leucaena leucocephala seeds

A galactomannan extracted from the seeds of Leucaena leucocephala was sulfated chemically, yielding a polymer (LLS-2) with 15.2% sulfate by weight (degree of sulfation 0.60), and its effect on the replication of Herpes simplex virus 1 (HSV-1) in Vero cells was investigated. When added during infection and early replication, LLS-2 showed 93.7% inhibition of HSV-1 replication at a concentration of 2.5 μg/mL, according to the reduction in the number of viral plaques, and a selectivity index higher than 1,000, suggesting that it inhibits HSV-1 binding to the host cell.
Comparing the Grain Yields of Direct-Seeded and Transplanted Rice: A Meta-Analysis

Conventional transplanted rice (TPR) has been increasingly replaced by direct-seeded rice (DSR) because of its low water and labour requirements. Whether and how DSR can be as productive as TPR has received widespread attention. Here, a comprehensive meta-analysis was performed to quantify the effects of direct seeding on rice yield and identify the management and environmental factors that contribute to the yield gap between DSR and TPR. The results showed that, overall, the yield of DSR was 12% lower than that of TPR. However, the yield loss of DSR relative to TPR was highly variable depending on management practices, soil type, and climate conditions, ranging from −2% to −42%. Weed and water management and climatic stress had the largest impact on yield performance, resulting in over 15% yield variation. With respect to soil properties, the yield gap can be significantly reduced by planting in areas with high organic carbon content, such as clayed and acidic soils. Furthermore, the DSR yield penalty was only 4% in a high-yielding condition compared to 14% in a low-yielding condition. All these factors indicate that optimizing management practices is necessary to improve DSR yield performance and narrow the yield gap between DSR and TPR. In conclusion, DSR could produce comparable yields to TPR but is more prone to yield losses due to inappropriate management practices, unsuitable soil properties, and climatic stresses.
Biogas Production from Vegetable and Fruit Markets Waste—Compositional and Batch Characterizations

This study presents a complete characterization of the residual materials found in fruit and vegetable markets and their adaptability to be treated by anaerobic digestion with the aim of generating biogas as a new and renewable energy source. It has been determined that these substrates are perfectly suitable to be treated by anaerobic digestion, being rich in simple carbohydrates, with a high content of moisture and solids (total and volatile), which makes it a substrate of easy solubilization and with a great amount of matter directly accessible to the microorganisms responsible for anaerobic degradation. The process develops smoothly, with a slight release of acidic elements, but without impact by the development of the buffer effect by ammonia. In addition, a phenomenon of digestion is observed in two phases, indicating that despite the particulateing of the substrate, it manages to digest the organic matter directly accessible and the inaccessible. In numerical terms, 100 g of residue V produce 913.282 NmL of biogas, of which 289.333 NmL correspond to methane. The disintegration constant is 0.200 days −1 , with 16,045% of the substrate degraded. As an innovation, the hydrogen generated in the process has been used as an indicator of the stability and development of the process. Accompanied by a statistical analysis and mathematical adjustments, it is possible to characterize in depth the process and its evolution, determining that the degradation is fast, with a rapid and stable hydrolysis.
Evaluation of New CORDEX Simulations Using an Updated Köppen–Trewartha Climate Classification

A new ensemble of climate and climate change simulations covering all major inhabited regions with a spatial resolution of about 25 km, from the WCRP CORDEX COmmon Regional Experiment (CORE) Framework, has been established in support of the growing demands for climate services. The main objective of this study is to assess the quality of the simulated climate and its fitness for climate change projections by REMO (REMO2015), a regional climate model of Climate Service Center Germany (GERICS) and one of the RCMs used in the CORDEX-CORE Framework. The CORDEX-CORE REMO2015 simulations were driven by the ECMWF ERA-Interim reanalysis and the simulations were evaluated in terms of biases and skill scores over ten CORDEX Domains against the Climatic Research Unit (CRU) TS version 4.02, from 1981 to 2010, according to the regions defined by the Koppen–Trewartha (K–T) Climate Classification types. The REMO simulations have a relatively low mean annual temperature bias (about ± 0.5 K) with low spatial standard deviation (about ± 1.5 K) in the European, African, North and Central American, and Southeast Asian domains. The relative mean annual precipitation biases of REMO are below ± 50 % in most domains; however, spatial standard deviation varies from ± 30 % to ± 200 %. The REMO results simulated most climate types relatively well with lowest biases and highest skill score found in the boreal, temperate, and subtropical regions. In dry and polar regions, the REMO results simulated a relatively high annual biases of precipitation and temperature and low skill. Biases were traced to: missing or misrepresented processes, observational uncertainty, and uncertainties due to input boundary forcing.
PJMCC: A Java Library for Efficient and Easier Computation Offloading Mechanism in Mobile Cloud Computing

Mobile cloud computing is the easiest way to offload computationally intensive tasks from mobile devices to cloud servers in order to achieve an enhanced computational capability and efficient energy utilization in mobile devices. In this paper, we propose a parallel java library for mobile cloud computing (PJMCC). PJMCC provides an easy to implement mobile cloud computing interface. PJMCC uses reflection and annotation paradigms of java to provide fine grained code offloading. PJMCC handles the cluster creation and failure management transparent to the end user and the developer which helps developers to concentrate on their primary applications. This paper also introduces a caching and logging mechanism in PJMCC to handle the network failure and the resumption of an interrupted computation.
Explaining genome-wide association study results using concept profile analysis and the Kyoto Encyclopedia of Genes and Genomes pathway database

Annotations of genes and gene products in model-organism databases with Gene Ontology (GO) terms have become an important knowledge resource in biomedical research, which has spurred many efforts at automating this labor-intensive manual curatorial activity, including many text-mining approaches. In an effort to provide some guidance on these text-mining efforts, we have used a gold-standard manually annotated corpus to conduct an evaluation of the occurrence of three types of fundamental GO-annotation concepts in 34 journal articles that were the evidential bases of approximately 220 GO annotations largely created by the Mouse Genome Informatics (MGI) group. In addition to an analysis of the occurrence of the GO concepts of the curated GO annotations associated with these articles in the corpus, we have analyzed the occurrence of NCBI Taxonomy (NCBITAXON) and Protein Ontology (PRO) concepts corresponding to the species-specific genes/gene products of these curated GO annotations. The GO, NCBITAXON, and PRO concepts corresponding to the curated GO annotations were analyzed both in the full-text versions of these articles as well as in only those sentences of the articles providing the strongest evidence for the GO annotations, as specified by an official MGI GO curator. Though this sample set may not necessarily be representative of all GO annotations, our analysis suggests that full-text articles mention substantial fractions of the GO concepts at least once; however, the mentions of these GO concepts constitute very low percentages of the mentions of all GO concepts in these articles. Nearly all PRO concepts corresponding to GO annotations are mentioned at least once in the full articles, and these PRO mentions constitute a substantial fraction of the mentions of all PRO concepts in these articles. Mus musculus is seldom mentioned, though mice (strictly corresponding to the genus Mus) are mentioned at least once in the full articles, and these Mus mentions also constitute a substantial fraction of the mentions of all NCBITAXON concepts in these articles. For all of the ontol* To whom correspondence should be addressed. ogies, counts of annotated concepts corresponding to the curated GO annotations in only the strongly evidential sentences are comparatively very low, amounting to several mentions or fewer per article. However, for most of the ontologies, concepts corresponding to the curated GO annotations appear overrepresented, though this must be viewed cautiously given that this is based on very low counts. Thus, it remains to be further examined whether this overrepresentation overrides the very low mention frequency and thus whether it would be beneficial for automatic GO-annotation systems to focus on these evidential sentences.
A Conceptual Feedback Model of Performance Dynamics

Human behavior is extremely complex and influenced by a large variety of factors. Psychologists are given the challenge of constructing models that do justice to this complexity. In this study, we constructed a conceptual model of performance dynamics. We specifically focused on how the GPA of a student changes over time. In constructing the model, we utilized the existing theories in psychology and feedback perspective of systems thinking/system dynamics. As most psychologists still lack the language they need to accurately portray human behavior, this model serves the purpose of promoting the use of systems thinking/system dynamics within psychology. This is done by combining several theories concerning motivation and goal directed behavior into a conceptual model of performance dynamics. The model variables are explained and the feedback loops were discussed in detail. In future studies, we plan to use this conceptual model in explaining different modes of behavior observed in performance dynamics.
Misuse Intrusion Detection Using Machine Learning for Gas Pipeline SCADA Networks

Integration of Supervisory Control and Data Acquisition (SCADA) systems with internet and recent highprofile attacks has exposed critical vulnerabilities and led to significant increase for research on the security of such systems. In this paper, we employed machine learning algorithms using WEKA to develop a misuse intrusion detection system which is designed to identify attacks on the SCADA system network of a gas pipeline infrastructure. We used naïve Bayes, rule-based and tree-based classifiers in supervised learning mode for classifying the attacks. A set of new features were formulated using the original features from the dataset to help in the classification task. This feature extraction technique resulted in improvements for a number of performance metric values when compared to using original features in the dataset. Simulation results indicated that random forest classifier performance is superior in general.
Title: A multidimensional profile model of ambidexterity and innovation – an empirical case study

Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University’s research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria. ac.uk/policies.html
Unified Visualizations of Structural Equation Models

Structural Equation Modeling (SEM) has a long history of representing models graphically as path diagrams. This chapter presents the freely available semPlot package for R, which fills the gap between advanced, but time-consuming, graphical software and the limited graphics produced automatically by SEM software. In addition, semPlot o↵ers more functionality than drawing path diagrams: it can act as a common ground for importing SEM results into R. Any result useable as input to semPlot can be also represented in any of the three popular SEM frameworks, as well as translated to input syntax for the R packages sem (Fox, 2006) and lavaan (Rosseel, 2012). Special considerations are made in the package for the automatic placement of variables, using three novel algorithms that extend earlier work of Boker, McArdle, and Neale (2002). The chapter concludes with detailed instructions on these node-placement algorithms. 11.
Long Term Outcome of CT-Based Image-Guided Brachytherapy for Cervix Cancer Using the Tandem-Ring Applicator

Objectives: To evaluate the long term outcome of CT-based image-guided brachytherapy (IGBT) for cervix cancer using the tandem-ring applicator. Methods: Between February 2005 and December 2008, 40 patients were treated with chemo-radiotherapy and high dose rate CT-based IGBT. A manually optimized dosimetry plan was created for each fraction. The planning aims were to deliver a point A dose ≥ 74 Gy10, D90 of the high-risk clinical target volume (HR-CTV) ≥ 74 Gy10, V100 HR-CTV ≥ 95%, D2cc rectum/sigmoid ≤ 75 Gy3 and D2cc bladder ≤ 95 Gy3. Results: Median follow-up was 61 months. The 3-year and 5-year cancer-specific survival was 80% (tumors 2-5 cm=87%, >5 cm=59%) and 74% (tumors 2-5 cm=87%, >5 cm=52%). The 3-year and 5-year local control was 89% (tumors 2-5 cm=96%, >5 cm=76%). The mean D90 for patients with and without local recurrence was 70.8 Gy10 and 85.2 Gy10 respectively. The 3-year and 5-year rate of G3 complications was 10% and 15%. Manual optimization could not improve the dosimetry in 96 (85%) fractions. Conclusions: CT-based IGBT improves local control compared to conventional BT, particularly for small tumors.
Mesenchymal Stem/Stromal Cell Production Compliant with Good Manufacturing Practice: Comparison between Bone Marrow, the Gold Standard Adult Source, and Wharton’s Jelly, an Extraembryonic Source

Many clinical trials report mesenchymal stem/stromal cells (MSCs) efficacy in various indications. Therefore, standardization of MSC production becomes necessary. MSC properties are impacted by tissue origin, especially if they are from extraembryonic tissue or adult sources. For this reason, we evaluated the impact of MSC tissue origin on production. Methods: Three productions of MSC from Wharton’s Jelly (WJ) or from bone marrow (BM) were performed according to good manufacturing practice. The identity (phenotype, differentiation, and clonogenic capacities), safety (karyotype, telomerase activity, sterility, and donor qualification), and functionality (viability, mixed lymphocyte reaction) of each cell batch were analyzed. Results: Slight differences between MSC sources were observed for phenotype, telomerase activity, and clonogenic capacities. Conclusion: Both sources have made it possible to quickly and easily obtain clinical grade MSC. However, as availability of the source is thought to be essential, WJ seems more advantageous than BM.
Serum Levels of IL-17, IL-6, TNF-α and Disease Activity in Patients with Rheumatoid Arthritis Serumspiegel von IL-17, IL-6 und TNF-α und Krankheitsaktivität bei Patienten mit rheumatoider Arthritis

Affiliations 1 Department of Physical Medicine and Rehabilitation, Recep Tayyip Erdoğan University, Rize, Turkey 2 Physical Medicine and Rehabilitation, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey 3 Department of Biochemistry, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey 4 Department of Physical Medicine and Rehabilitation, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey 5 Department of Physical Medicine and Rehabilitation, Karadeniz Technical University, Trabzon, Turkey 6 Department of Physical Medicine and Rehabilitation, School of Medicine, Karadeniz Technical University, Trabzon, Turkey