Miracle-dz/UniFAR-FTUs huggingface dataset:
A Versatile Searchable File System for HPC Analytics

Emerging HPC analytics applications urgently demand filesearch services to drastically reduce the scale of the input data in real-time, so that the speed of computation and data analytics can be greatly accelerated. Unfortunately, the existing file-search solutions are either poorly scalable for large-scale systems, or lack a well-integrated interface to allow applications to easily use them for critical tasks. We believe that the time is ripe for the design of a searchable file system capable of accurate and scalable system-level filesearch functionality. In this paper, we propose a Versatile Searchable File System, VSFS, which provides a transparent, accurate and real-time file-search service through a POSIX-compatible file system namespace that can be integrated into any HPC/Big Data legacy code without modifications. Additionally, to support real-time file search, VSFS uses a DRAM-based distributed architecture to perform real-time file indexing. Moreover, a versatile index scheme is designed to adapt to the various forms of HPC datasets. The results of our VSFS prototype evaluation show that VSFS is scalable in a typical HPC environment. It achieves significantly better file-indexing and file-search performance than the popular SQL/NoSQL solutions, while it only introduces negligible I/O overhead. Finally, we integrate VSFS to a scientific analytics application to show its benefits in terms of performance and ease of use.
OpenEHR-based pervasive health information system for primary care: First Brazilian experience for public care

Introduction: The Brazilian Ministry of Health declared openEHR as the reference model for the definition of electronic health records (EHR). Aims: To unveil the issues related to the development and implementation of an openEHR-based pervasive HIS in a Brazilian public health primary care unit. Methods and preliminary results: They are divided into five subsections (analysis of physical infrastructure and computational resources, Modelling the Problem, Software Design and Information Security). Expected Results: We expect to implement a HIS based on an open source architecture, validated and aligned with evolving clinical content, economically viable and scalable considering future plans of physical structure's expansion. Conclusions: This pionner project can be a reference to further implementations and scientic studies.
The new ext 4 filesystem : current status and future plans

Ext3 has been the most widely used general Linux R © filesystem for many years. In keeping with increasing disk capacities and state-of-the-art feature requirements, the next generation of the ext3 filesystem, ext4, was created last year. This new filesystem incorporates scalability and performance enhancements for supporting large filesystems, while maintaining reliability and stability. Ext4 will be suitable for a larger variety of workloads and is expected to replace ext3 as the “Linux filesystem. ” In this paper we will first discuss the reasons for starting the ext4 filesystem, then explore the enhanced capabilities currently available and planned for ext4, discuss methods for migrating between ext3 and ext4, and finally compare ext4 and other filesystem performance on three classic filesystem benchmarks.
Towards a Better SCM :

Large projects need scalable, performant, and robust software configuration management systems. If common revision control operations are not cheap, they present a large barrier to proper software engineering practice. This paper will investigate the theoretical limits on SCM performance, and examines how existing systems fall short of those ideals. I then describe the Revlog data storage scheme created for the Mercurial SCM. The Revlog scheme allows all common SCM operations to be performed in near-optimal time, while providing excellent compression and robustness. Finally, I look at how a full distributed SCM (Mercurial) is built on top of the Revlog scheme, some of the pitfalls we’ve surmounted in on-disk layout and I/O performance and the protocols used to efficiently communicate between repositories.
Camptomeris albiziae on Albizia lebbeck: first record for North Western Himalayas and its distribution extension in India

Camptomeris albiziae (Petch) E.W. Mason collected from leaves of Albizia lebek (Linn.) Willd. , from Bilaspur, Himachal Pradesh, India, is described and illustrated. A literature survey revealed that this fungus has not been so far reported from North Western Himalaya and thus represents an extension of distribution of the fungus in India. Details on symptoms on host plant leaves, taxonomic descriptions and illustrations are provided here.
A task scheduling strategy based on weighted round robin for distributed crawler

With the rapid development of the network, stand‐alone crawlers are finding hard to find and gather information. Distributed crawlers are gradually accepted to solve this problem. This paper proposes a task scheduling strategy based on weighted round robin for small‐scale distributed crawler with formula weights for the current node based on crawling efficiency, implements a distributed crawler system with multithreading support and deduplication which takes the algorithm as core, and discusses some possible extensions and details. The design of the error recovery mechanism and the node table allows crawling nodes have flexible scalability and fault tolerance. Finally, we conducted some experiments to prove the good load balancing performance of the system. Concurrency and Computation: Practice and Experience, 2015. © 2015 Wiley Periodicals, Inc. Copyright © 2015 John Wiley & Sons, Ltd.
Influence of salinity and adaptive compounds on growth parameters, carbohydrates, amino acids and nucleic acids in two cultivars of 'Vicia faba' contrasting in salt tolerance

Salinization of two cultivars of broad beans with 50 and 300 mM NaCl, in general, induced significant reductions in all growth parameters, as compared with control values determined in seedlings after 14 days from being set to germinate. The magnitude of reduction was more pronounced in the salt-sensitive than in the salt-tolerant cultivar, especially with 300 mM NaCl. Thus, the calculated relative growth rate (RGR) in response to treatment with the high level of NaCl, in the salt-sensitive cultivar, was lower than that in the salt-tolerant one. Furthermore, significant increases in the contents of glucose, proline (Pro) and glycine associated with significant decreases in the contents of sucrose, polysaccharides, total saccharides, DNA and RNA, as compared with control levels, were obtained. The use of the optimum concentration of each of the adaptive compounds, either alone or in combination with each of the salinity levels, induced significant varied increases (in glucose, Pro, glycine, DNA and RNA) or decreases (in sucrose, polysaccharide and total saccharides), in relation to the contents of untreated- or salinized-controls; thus the magnitude of counteraction of the salinity adverse effects in broad bean seedlings being most pronounced with SA.
Ambivalencias de la migración y el retorno en contextos rurales de Chiapas: Entre las multas y el bien común

Becoming an international migrant in the context of an indigenous community in Chiapas creates tension with the normative systems that on behalf of the common good demand the participation of its members. Refusal to participate in civil duties can be accepted through the migrant paying a fine. This explains the existence of a community body regulating migration. In his or her return, the migrant and family engage in a complicated negotiation of the terms of reintegration. Besides, returning migrants are limited as far as the initiatives they may set forth. All the above occurs in communities in which community membership entails a bond of cultural identification.
Communication and Devices: Face to Face Communication versus Communication with Mobile Technologies

 Abstract — With the rapid changes occurring in the last twenty five years, mobile phone technology has influenced every aspect of life. Technological developments within the Internet and mobile phone areas have not only changed communication practices; it has also changed the everyday life practices of individuals. This article has focused on understanding how people’s communication practices and everyday life practices have changed with the smartphone usage. The study was conducted by using in-depth interview method and the research was conducted on twenty Turkish Cypriots who live in Northern Cyprus. According to the research results, communicating via Internet has rapidly replaced face to face communication in recent years. However, results have changed according to generations. Younger generations can easily adapt themselves to technological changes because they are already gaining everyday life practices right now. However, the older generations practices are already present in their everyday life.
Nuran Öze Communication and Devices : Face to Face Communication versus Communication with Mobile Technologies

With the rapid changes occurring in the last twenty five years, mobile phone technology has influenced every aspect of life. Technological developments within the Internet and mobile phone areas have not only changed communication practices; it has also changed the everyday life practices of individuals. This article has focused on understanding how people’s communication practices and everyday life practices have changed with the smartphone usage. The study was conducted by using in-depth interview method and the research was conducted on twenty Turkish Cypriots who live in Northern Cyprus. According to the research results, communicating via Internet has rapidly replaced face to face communication in recent years. However, results have changed according to generations. Younger generations can easily adapt themselves to technological changes because they are already gaining everyday life practices right now. However, the older generations practices are already present in their everyday life. Keywords—Face to face communication, internet, mobile technologies, North Cyprus.
and - A Case Study of Semantic Presence in CISCO's Unified

XSPARQL is a transformation and querying language that provides an integrated access over heterogeneous data sources on the ﬂy. It is an extension of XQuery which supports a subset of SPARQL and SQL to provide uniﬁed access over XML, RDF and RDB formats. In practical applications, data integration does not only require the integrated access over distributed heterogeneous data sources, but also the update of underlying data. XSPARQL in its present state is only a querying and transformation language, hence lacking the update facility. In this paper, we propose an extension of the XSPARQL language with update facility. We present the syntax and semantics for this extension, and we use the real world scenario of semantic presence in CISCO’s Uniﬁed Presence Systems to demonstrate the requirement of update facility. Preliminary evaluation of the XSPARQL Update Facility is also presented.
Minimum Spanning Trees

Suppose you have a business with several branch offices and you want to lease phone lines to connect them with each other. Your goal is to connect all your offices with the minimum total cost. The resulting connection should be a spanning tree since if it is not a tree, you can always remove some edges without losing the connectivity to save money. A minimum spanning tree (MST) of a weighted graph G is a spanning tree of G whose edges sum to minimum weight. In other words, a minimum spanning tree is a tree formed from a subset of the edges in a given undirected graph, with two properties: (1) it spans the graph, i.e., it includes every vertex in the graph, and (2) it is a minimum, i.e., the total weight of all the edges is as low as possible. The minimum spanning tree problem is always included in algorithm textbooks since (1) it arises in many applications, (2) it is an important example where greedy algorithms always deliver an optimal solution, and (3) clever data structures are necessary to make it work efficiently. What is a minimum spanning tree for the weighted graph in Figure 1? Notice that a minimum spanning tree is not necessarily unique. 4 3 4 11 5 2 1 1 2 a b c d e f g h 2
Migration of Workers' Knowledge into Information Systems : Managerial Issues from the Case of e-Procurement Service Company

With the emergence of indirect procurement, it has become a global trend for companies to outsource their maintenance, repair, and operating (MRO) supplies to procurement service providers (PSPs). Due to the variety of MRO items, evaluation of numerous suppliers in various industries is a particularly complex task for PSPs. Due to this complexity, many PSPs still evaluate and select suppliers based on the sourcing managers` subjective knowledge. Through the case of adopting a supplier evaluation system, this research is to find the managerial issues organizations should consider when they transform sourcing managers` knowledge into the system. We interpret the issues based on the Technology-Organization-Environment (TOE) framework. This case conclusively shows the importance of positive feedback loop between the users and the information system for the performance improvement of the system.
Approximating Multidimensional Subset Sum and the Minkowski Decomposition of Polygons ∗

We consider the approximation of two NP-hard problems: Minkowski Decomposition (MinkDecomp) of integral lattice polygons, and the related Multidimensional Subset Sum (kD-SS). We prove, through a gap-preserving reduction, that, for general dimension k, kD-SS does not have an FPTAS. For 2D-SS, we present an O(n/ ) approximation algorithm, where n is the set cardinality and bounds the approximation, and use it to approximate MinkDecomp.
Blade Optimization Approach for a Vertical Wind Turbine

Harvesting electrical power from wind energy is a feasible solution for the issue of abundance energy. Blade is the wind turbines performance key. The research considered the design and optimization issue of blade’s structure made from composite material. Genetic algorithm used as an optimization tool for defining different parameters in the blade fibre and matrix materials, fibre orientations, layer thickness, and number of layers for blade cross-section. Building an efficient genetic algorithm requires a good representation to the phenomenon through an appropriate definition of the fitness function. The presented approach aim to optimize the blade deign against different loads such as aerodynamic, inertia, and operating couples. Material model predicate all properties in principal directions. Force model analyze all external force-couple system. Stress and failure model evaluate all stress condition then check their values against material strength. Failure criterion determines whether the proposed model is safe or not. All these parameters embedded into single fitness function to decide whether this model would replace one of the preceding generation or not. New design parameters produced through crossover, mutation, and replacement processes until the algorithm converges. The results form presented approach is a design benchmark for blade material design and selection process.
Simple Near-Optimal Scheduling for the M/G/1

We consider the problem of preemptively scheduling jobs to minimize mean response time of an M/G/1 queue. When we know each job's size, the shortest remaining processing time (SRPT) policy is optimal. Unfortunately, in many settings we do not have access to each job's size. Instead, we know only the job size distribution. In this setting the Gittins policy is known to minimize mean response time, but its complex priority structure can be computationally intractable. A much simpler alternative to Gittins is the shortest expected remaining processing time (SERPT) policy. While SERPT is a natural extension of SRPT to unknown job sizes, it is unknown whether or not SERPT is close to optimal for mean response time. We present a new variant of SERPT called monotonic SERPT (M-SERPT) which is as simple as SERPT but has provably near-optimal mean response time at all loads for any job size distribution. Specifically, we prove the mean response time ratio between M-SERPT and Gittins is at most 3 for load ρ łeq 8/9$ and at most 5 for any load. This makes M-SERPT the only non-Gittins scheduling policy known to have a constant-factor approximation ratio for mean response time.
New ground motion data and concepts in seismic hazard analysis

The strong motion data from the Izmit, Turkey and Chi-Chi, Taiwan earthquakes have pointed out uncertainties in current strong motion attenuation curves for large earthquakes. Although the near-source strong motion data from these two well-recorded large earthquakes were well below the estimated values by the ground motion models, they were consistent with constraints estimated from precarious rock methodology. This discrepancy could be a result of inadequate ground motion data for large earthquakes and possible flaws with a number of statisti cal parameter assumptions that were necessary for extrapolation from existing database, which is dominated by small earthquake data. This review article discusses several important issues that have the potential to cause major impact on seismic hazard analysis. They are: (i) partitioning of uncertainties into aleatory and epi stemic contributions, (ii) quantification of precarious rock observations and use of the data to constrain and improve ground motion models, (iii) continuing to deploy strong motion instruments near major faults since only more strong motion data will definitively resolve the issues of what is normal behaviour, and (iv) understanding through modelling and observations, the physical phenomena that affect strong motion, including the effect of total fault offset, su rface rupture and type of faulting.
An investigation of phishing awareness and education over time: When and how to best remind users

Security awareness and education programmes are rolled out in more and more organisations. However, their e ﬀ ective-ness over time and, correspondingly, appropriate intervals to remind users’ awareness and knowledge are an open question. In an attempt to address this open question, we present a ﬁeld investigation in a German organisation from the public administration sector. With overall 409 employees, we evaluated (a) the e ﬀ ectiveness of their newly deployed security awareness and education programme in the phishing context over time and (b) the e ﬀ ectiveness of four di ﬀ erent reminder measures – administered after the initial e ﬀ ect had worn o ﬀ to a degree that no signiﬁcant improvement to before its deployment was detected anymore. We ﬁnd a signiﬁcantly improved performance of correctly identifying phishing and legitimate emails directly after and four months after the programme’s deployment. This was not the case anymore after six months, indicating that reminding users after half a year is recommended. The investigation of the reminder measures indicates that measures based on videos and interactive examples perform best, lasting for at least another six months.
An adaptive scale estimating method of multiscale image segmentation based on vector edge and spectral statistics information

ABSTRACT Scale computation for multiscale image segmentation has become one of the key scientific problems in urgent need to be solved in the field of geographic object-based image analysis (GEOBIA). Due to the complexity of High Spatial Resolution Remote-Sensing Imagery (HSRRSI) data itself and the scale distribution differences among geographic features, it is difficult to effectively design a global scale parameter model to guide parameters setting in large scale regions and automatically produce an acceptable segmentation result simultaneously. Utilizing the vector edge and spectral statistics information, an adaptively global scale computation method named Global Scale Computation with Vector Edge (GSCVE) has been developed for multiscale segmentation, which is firstly proposed and implemented on mean-shift segmentation algorithm as an example. The highlight of the GSCVE algorithm is that it can calculate global scale parameters for multiscale image segmentation adaptively. The validity of GSCVE algorithm was verified directly by taking GeoEye and QuickBird images as segmentation experiments sample data, respectively. In addition, comparing with the renowned eCognition® multiscale segmentation algorithm, the relative advantages of GSCVE algorithm with adaptive property and the concurrence segmentation results of large and small scale geographic features are illustrated by the visual evaluation experiments simultaneously.
Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures

We propose and demonstrate an approach for the often attempted problem of market prediction. We restrict our study to a widely purchased and well recognized commodity, crude oil, which experiences significant volatility. Robust debate exists over the applicability of the weak and semi-strong versions of the Efficient Market Hypothesis (EMH) to financial markets. In this paper we train nine learners using features extracted from monthly International Energy Agency (IEA) reports to predict undervalued, overvalued, and accurate valuation of the oil futures. Investor decisions are driven by both market and external forces such as geopolitical or natural events, which are discussed in IEA reports. Our results show, when considering F-measure and G-measure, the addition of text features significantly improves performance compared to only using price history from the oil futures data. Top learners using both feature spaces performed statistically better than random at the 95% confidence level, challenging the validity of the weak and semi-strong versions of the EMH in the crude oil market.
Cloud Service Selection from Earth Science Domain

The promise of the cloud computing paradigm is to deliver computing as a utility available to anyone having an access to the Internet. Users can request on-demand software services hosted inside clouds. For a given application, many similar services that are developed independently will be hosted in a cloud. Hence, automatically selecting an appropriate service from these available choices to fulfill a particular requirement is a challenge. This selection function could be made available as a feature of a cloud-based middleware. The prevalent cloud related service selection methods employ simple attributebased matching which may not yield the most relevant alternatives for complex domains such as Earth Sciences. proURDS [1] is a hierarchical, proactive discovery and selection service that provides multi-level matching which is more comprehensive than the typical attribute-based matching. This paper indicates a case study from the domain of Earth Sciences in which the proURDS is used to select relevant services from the available choices thereby, reducing the complexity involved in choosing a subset of services from a large space made up of service permutations. General Terms Service Discovery and Selection, Service Matching Operators