Miracle-dz/UniFAR-FTUs huggingface dataset:
Chapter 1 Active Storage 1.1 Background

General-purpose computation capability is no longer localized at a single point (the CPU) of computer systems. Active storage describes a system that provides computation capability at the storage elements, in addition to dedicated compute entities. Active storage is the nexus for multiple avenues of research, discussed in the following sections. Several groups have investigated the addition of processing capability to storage elements (active disks, intelligent disks) A key assumption in the following related work is that the aggregate computation capabilities of the active disks will exceed the processing power available at the computation server. This implies the target application will be data intensive – that is, they will perform relatively small computation on large volumes of data. In fact, all the active disk work only considers a system with one host and multiple disks. Network attached secure disks (NASD) [Gibson et al. 1996; 1997]. are storage devices that allow direct client interaction. For example, they could reduce the load on file servers by letting data operations go directly to the device, while the file server handles the more complex metadata operations. These devices export an object interface to clients, with access controlled through the use of capabilities obtained from the file manager [Gibson et al. 1998]. Performing more general computation on disks is a natural extension of moving some file system functionality to the disks. The growing capabilities of disk drive ASICs, and the possibility of including a microprocessor core on each drive motivated active disks [Riedel and Gibson 1997]. Active disks are disk drives that can execute general-purpose (application) code locally. Applying simple operations (such as filters, collection of statistics) at the disk can improve the overall efficiency of the application's use of network and host resources. This paper briefly discusses the language model, safety issues, and resource management. The main focus is on remote execution of small parts of the computation as opposed to a general parallel 1
A quick view on current techniques and machine learning algorithms for big data analytics

Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine learning techniques. In the ICT sector, as in many other sectors of research and industry, platforms and tools are being served and developed in order to help professionals to treat their data and learn from it automatically; most of those platforms coming from big companies like Google or Microsoft, or from incubators at the Apache Foundation. This brief review explains the basics of machine learning with some ICT examples, and enumerates some (but not all) of the most used tools for analyzing and modelling big-data.
Regulation of tRNA Bidirectional Nuclear-Cytoplasmic Trafficking in Saccharomyces cerevisiae

tRNAs traffic between the nucleus and the cytoplasm in response to nutrient availability. Using a new assay to track tRNA within cells, we show that tRNA nuclear import is constitutive, whereas tRNA reexport to the cytoplasm is regulated. Msn5 functions only in tRNA re-export, whereas Los1 functions in both the primary and reexport steps.
Visualizing High‐Dimensional Structures by Dimension Ordering and Filtering using Subspace Analysis

High‐dimensional data visualization is receiving increasing interest because of the growing abundance of high‐dimensional datasets. To understand such datasets, visualization of the structures present in the data, such as clusters, can be an invaluable tool. Structures may be present in the full high‐dimensional space, as well as in its subspaces. Two widely used methods to visualize high‐dimensional data are the scatter plot matrix (SPM) and the parallel coordinate plot (PCP). SPM allows a quick overview of the structures present in pairwise combinations of dimensions. On the other hand, PCP has the potential to visualize not only bi‐dimensional structures but also higher dimensional ones. A problem with SPM is that it suffers from crowding and clutter which makes interpretation hard. Approaches to reduce clutter are available in the literature, based on changing the order of the dimensions. However, usually this reordering has a high computational complexity. For effective visualization of high‐dimensional structures, also PCP requires a proper ordering of the dimensions.
Center for Embedded Computer Systems University of California , Irvine System Level Modeling of an AMBA Bus

The System-On-Chip (SoC) design faces a gap between the production capabilities and time to market pressures. The design space, to be explored during the SoC design, grows with the improvements in the production capabilities and it takes an increasing amount of time to design a system that utilizes those capabilities. On the other hand shorter product life cycles are forcing an aggressive reduction of the time-to-market. Addressing this gap has been the aim of recent research work. As one approach abstract models have been introduced and a design flow was devised that guides the designer in the process from a most abstract model down to a synthesizable model. Throughout the design process computation and communication concerns are handled individually. The communication is mostly abstracted away from the designer, which allows the design focus to rest on the application specific computation. This separation requires the provider of an SoC design tool to supply fast and accurate communication models. Fast simulation capabilities are required for coping with the immense design space that is to be explored; these are especially needed during early stages of the design. This need has pushed the development of transaction level models, which are abstract models that execute dramatically faster than synthesizable models. The pressure for fast executing models extends especially to the frequently used and reused communication libraries. This document describes the system level modeling of the Advanced High-performance Bus (AHB) part of the Advanced Microprocessor Bus Architecture (AMBA). Throughout this work the design of three bus models, at different levels of abstraction, is described; their simulation speed and accuracy is evaluated. As a result guidelines for the developer are derived that support selecting the most appropriate model for a given stage in the design process.
European Conference on Information Systems ( ECIS ) 5-2-2012 DO FORMAL CONTROLS ENHANCE THE EFFECTS OF INFORMAL CONTROLS ON IS OFFSHORING PROJECT PERFORMANCE ?

While research on information systems (IS) project control has advanced considerably over the last decade, knowledge about the performance effects of particular combinations of control modes is still limited. In this study, we add an important piece to the puzzle of control effects and control mode interaction. We do so by examining the impact of informal control on project performance as well as whether formal controls moderate the effectiveness of informal control in IS offshoring projects. We conducted a quantitative study with data from 46 projects involving 16 client firms from a wide range of industries. Our results suggest that clan control in combination with outcome control positively influences project performance. In contrast, the exercise of clan control alone does not increase performance. Our study thus offers an important contribution towards uncovering the links between formal and informal control modes. It also highlights the importance of carefully tuning control portfolios in IS offshoring projects. Restrictions and requirements for how clan control can be leveraged in the offshore context are discussed.
Identifying Disputed Topics in the News

News articles often reflect an opinion or point of view, with certain topics evoking more diverse opinions than others. For analyzing and better understanding public discourses, identifying such contested topics constitutes an interesting research question. In this paper, we describe an approach that combines NLP techniques and background knowledge from DBpedia for finding disputed topics in news sites. To identify these topics, we annotate each article with DBpedia concepts, extract their categories, and compute a sentiment score in order to identify those categories revealing significant deviations in polarity across different media. We illustrate our approach in a qualitative evaluation on a sample of six popular British and American news sites.
A CLUSTERING HEURISTIC BY EFFECTIVE NEAREST NEIGHBOR SELECTION

We introduce a clustering heuristic based on an effective nearest neighbor search procedure by reducing the TSP (Traveling Saleman Problem) tour length. This technique contributes to the improvement of the TSP solutions and also provides a technique of finding cluster center in a large domain where finding the center point of data clusters is a difficult problem as the huge volume of data is not sorted in real time domain. In our approach, we find as the number of data points grows the our proposed heusristic reduces the tour length. Time and distance tradeoff has been analyzed also from the simulation result. We start with an approach that to find the group of data closed enough we need to calculate centroid. A good center point is that which contributes to both local and global optima. The TSP tour can get better result due to this issue. Therefore, “super point” idea emerges with the centroid calculation issue. By finding the suitable nearest neighbor of a “super point” contributes to the local optimal distance. To avoid foothills stuck , super points are recalculated or updated to obtain global optima.
Bringing together over- and under- represented languages: Linking WordNet to the SIL Semantic Domains

We have created an open-source mapping between the SIL’s semantic domains (used for rapid lexicon building and organization for under-resourced languages) and WordNet, the standard resource for lexical semantics in natural language processing. We show that the resources complement each other, and suggest ways in which the mapping can be improved even further. The semantic domains give more general domain and associative links, which wordnet still has few of, while wordnet gives explicit semantic relations between senses, which the domains lack.
Short-term meditation increases blood flow in anterior cingulate cortex and insula

Asymmetry in frontal electrical activity has been reported to be associated with positive mood. One form of mindfulness meditation, integrative body-mind training (IBMT) improves positive mood and neuroplasticity. The purpose of this study is to determine whether short-term IBMT improves mood and induces frontal asymmetry. This study showed that 5-days (30-min per day) IBMT significantly enhanced cerebral blood flow (CBF) in subgenual/adjacent ventral anterior cingulate cortex (ACC), medial prefrontal cortex and insula. The results showed that both IBMT and relaxation training increased left laterality of CBF, but only IBMT improved CBF in left ACC and insula, critical brain areas in self-regulation.
Evolutionary Psychology in the Modern World: Applications, Perspectives, and Strategies

An evolutionary approach is a powerful framework which can bring new perspectives on any aspect of human behavior, to inform and complement those from other disciplines, from psychology and anthropology to economics and politics. Here we argue that insights from evolutionary psychology may be increasingly applied to address practical issues and help alleviate social problems. We outline the promise of this endeavor, and some of the challenges it faces. In doing so, we draw parallels between an applied evolutionary psychology and recent developments in Darwinian medicine, which similarly has the potential to complement conventional approaches. Finally, we describe some promising new directions which are developed in the associated papers accompanying this article.
Reframing community boundaries: the erosive power of new media spaces in authoritarian societies

ABSTRACT This study examines the role of digital media within the Ultra-Orthodox Jewish community in Israel, a conservative closed community, whose leadership is unable or unwilling to control the effects of digital media on the rank-and-file. Over the past decade, digital media have played an important role for challenging authoritarian rule around the globe. Especially in ideological communities sustained by strict taboos, digital media hold the potential to subvert hegemonic discourses. In this study, we make use of an incident that forced Israel’s Ultra-Orthodox community to address its long-standing taboo and hateful attitudes toward LGBT and Queer issues. In July 2015, an Ultra-Orthodox community member attacked participants of the Jerusalem Gay Pride Parade, murdering one and wounding six. While traditional community media attempted to ignore the event, two major Ultra-Orthodox news websites fell outside the control exercised by the community leadership, and enabled subversive discussions within the Ultra-Orthodox community. Through a process of negotiating the meaning of the attack, these discussions resulted in a reframing of the boundaries of the community, breaking a path for further contestation and debate. Using grounded theory analysis, this article contributes to a better understanding of the role of digital media in enabling contestation and challenging established power structures within authoritarian closed communities.
Housing Investment, Housing Credit and Economic Growth in China

Using the dataset of 35 large and medium cities in China from 1996 through 2007, this paper examines the interaction relationship between housing investment, housing credit and economic growth in China. First of all, the results show that the economic growth has a greater impact on the housing investment than the housing investment. Second, the housing purchase has a greater influence on the economic growth than the housing development. Third, the economic growth has a greater impact on housing credit than that of housing credit on economic growth. Fourth, the housing investment has the greater impact on economic growth than the housing credit, while the economic growth has a greater impact on the housing credit than the housing investment. Finally, the housing price has a greater impact on the housing credit than the economic growth and interest rate.
An E-Government Platform for Improving Communication among Municipalities and Citizens in the North of Chile Aurora D . Sanchez Universidad Catolica del Norte asanchez @ ucn . cl

Government and its further development has been increasingly associated with the use of IT and communication. This interconnection is also happening in developing countries such as Chile. This study is designed to assess the e-government infrastructure and the use of IT and communication among some municipalities in Chile in order to implement a platform that allows government to government (G2G), government to employees and government to citizens (G2C) communication. The proposed platform will allow these municipalities to share information about citizens and corporations in the region. This study is conducted in second region of Chile and considered eight municipal governments. The findings suggest that while all the municipalities are highly interested in e-government initiatives, their infrastructure are different and in a very early stage of development. Thus, the study suggested e-government platform highly flexible to incorporate the differences in infrastructure among the municipalities, as secure as possible to allows government interactions, and implemented using an Application Service Provider (ASP) solution. As a result a distributed system using a Java system (J2EE) was the technology chosen e implemented for the ARM2 e-government platform.
A modified language modeling method for authorship attribution

This paper presents an approach to a closed-class authorship attribution (AA) problem. It is based on language modeling for classification and called modified language modeling. Modified language modeling aims to offer a solution for AA problem by Combinations of both bigram words weighting and Unigram words weighting. It makes the relation between unseen text and training documents clearer with giving extra reward of training documents; training document including bigram word as well as unigram words. Moreover, IDF value multiplied by related word probability has been used, instead of removing stop words which are provided by Stop words list. we evaluate Experimental results by four approaches; unigram, bigram, trigram and modified language modeling by using two Persian poem corpora as WMPR-AA2016-A Dataset and WMPR-AA2016-B Dataset. Results show that modified language modeling attributes authors better than other approaches. The result on WMPR-AA2016-B, which is bigger dataset, is much better than another dataset for all approaches. This may indicate that if adequate data is provided to train language modeling the modified language modeling can be a good solution to AA problem.
Situated crowdsourcing using a market model

Research is increasingly highlighting the potential for situated crowdsourcing to overcome some crucial limitations of online crowdsourcing. However, it remains unclear whether a situated crowdsourcing market can be sustained, and whether worker supply responds to price-setting in such a market. Our work is the first to systematically investigate workers' behaviour and response to economic incentives in a situated crowdsourcing market. We show that the market-based model is a sustainable approach to recruiting workers and obtaining situated crowdsourcing contributions. We also show that the price mechanism is a very effective tool for adjusting the supply of labour in a situated crowdsourcing market. Our work advances the body of work investigating situated crowdsourcing.
MIMO channel models

The objective of this diploma work is to investigate a set of Multiple Input Multiple Output (MIMO) channel models compatible with the emerging IEEE 802.11n standard. This diploma work validates also advanced, innovative tools and wireless technologies that are necessary to facilitate wireless applications while maximizing spectral efficiency and throughput. MIMO channel models can be used to evaluate new Wireless Local Area Network (WLAN) proposals based on multiple antenna technologies. The purpose of this thesis is to investigate means of channel models and their implementation in different environments such as: Matlab, C++ and Advanced Design Systems (ADS). The investigation considers also a comparison between the channel models based on theoretical data and parameter setup to the channel models based on statistical characteristics obtained from measured data. Investigation and comparison of a MIMO channel models consider steering channel matrix H, spatial correlation coefficients, power delay profiles, fading characteristics and Doppler power spectrum.
Simultaneous Supplementation of Bacillus subtilis and Antibiotic Growth Promoters by Stages Improved Intestinal Function of Pullets by Altering Gut Microbiota

Early nutrition of pullets could determine the overall development and the performance of laying hens. With the aim to reduce the use of antibiotic growth promoters (AGPs) and to maintain the growth and development of pullets, the effect of simultaneous short-termed supplementation of AGPs (bacitracin zinc 20 mg/kg and colistin sulfate 4 mg/kg) and Bacillus subtilis (B. subtilis) DSM17299 probiotic, as well as the effect of supplementation of AGPs (bacitracin zinc 20 mg/kg and colistin sulfate 4 mg/kg) during the whole period (0~16 weeks) on the overall growth and development, intestinal health, and caecal microbiota of pullets were evaluated. In the present study, a total of 630 one-day-old Hy-Line Brown layers were randomly distributed into five equal groups: including the AGPs group (supplemented with AGPs based on basal diets for 16 weeks), the BA3 group (supplemented with AGPs and B. subtilis based on basal diets for 3 weeks), the BA6 group (for 6 weeks), the BA12 group (for 12 weeks), and the BA16 group (for 16 weeks). When compared with the AGPs group, the supplementation of AGPs + B. subtilis for the first 3 weeks could maintain overall growth performance, including the average body weight, average feed intake, average daily weight gain, and feed conversion ratio of pullets at 3, 6, 12, and 16 weeks of age (P > 0.05). Meanwhile, the characteristic growth indexes in different periods were separately measured. At 3 weeks of age, the amylase activity in ileum was elevated (P = 0.028), and the length of tibia was up to the standard in the BA3 group. At 12 weeks of age, the increased villus height (P = 0.046) of jejunum, increased villus height (P = 0.023) and ratio of villus height to crypt depth (P = 0.012) of ileum, decreased crypt depth (P = 0.002) of ileum, and elevated mRNA levels of sucrase in jejunum (P < 0.05) were all identified in the BA3 group. At 16 weeks of age, the secreted immunoglobulin A (sIgA) content in the jejunum mucosa of the BA3 group was greater than the other groups (P < 0.001). Furthermore, altered intestinal microbiota was found in the BA3 group. Specifically, decreased amounts of Alistipes, Bacteroides, Odoribacter, Dehalobacterium, and Sutterella and increased amounts of Lactobacillus, Dorea, Ruminococcus, and Oscillospira were determined (P < 0.05) in the BA3 group at week 6. Meanwhile, decreased amounts of B. fragilis and C. leptum (P < 0.05) were identified in the BA3 group at week 12, which were found to be relevant for the improvement of intestinal morphology (P < 0.05) by Pearson analysis. In conclusion, simultaneous supplementation of AGP and B. subtilis for 0~3 weeks increased the relative abundance of beneficial microbiota in caecum in 0~6 weeks, then improved the intestinal morphology by elevating populations of B. fragilis and C. leptum in 7~16 weeks, and further upregulated sucrase expression and increased sIgA content in the intestinal mucosa in 13~16 weeks.
The Gfi-1 proto-oncoprotein contains a novel transcriptional repressor domain, SNAG, and inhibits G1 arrest induced by interleukin-2 withdrawal

The Gfi-1 proto-oncogene is activated by provirus insertion in T-cell lymphoma lines selected for interleukin-2 (IL-2) independence in culture and in primary retrovirus-induced thymomas and encodes a nuclear, sequence-specific DNA-binding protein. Here we show that Gfi-1 is a position- and orientation-independent active transcriptional repressor, whose activity depends on a 20-amino-acid N-terminal repressor domain, coincident with a nuclear localization motif. The sequence of the Gfi-1 repressor domain is related to the sequence of the repressor domain of Gfi-1B, a Gfi-1-related protein, and to sequences at the N termini of the insulinoma-associated protein, IA-1, the homeobox protein Gsh-1, and the vertebrate but not the Drosophila members of the Snail-Slug protein family (Snail/Gfi-1, SNAG domain). Although not functionally characterized, these SNAG-related sequences are also likely to mediate transcriptional repression. Therefore, the Gfi-1 SNAG domain may be the prototype of a novel family of evolutionarily conserved repressor domains that operate in multiple cell lineages. Gfi-1 overexpression in IL-2-dependent T-cell lines allows the cells to escape from the G1 arrest induced by IL-2 withdrawal. Since a single point mutation in the SNAG domain (P2A) inhibits both the Gfi-1-mediated transcriptional repression and the G1 arrest induced by IL-2 starvation, we conclude that the latter depends on the repressor activity of the SNAG domain. Induction of Gfi-1 may therefore contribute to T-cell activation and tumor progression by repressing the expression of genes that inhibit cellular proliferation.