Miracle-dz/UniFAR-FTUs huggingface dataset:
Pendidikan Ideal Menurut Ibnu Khaldun Dalam Muqaddimah

The educational activity had been going on since the existence of human being in the world. But in our country educational philosophy vecently is in seeking the form which is suitable to demands of human being; where those are in change and development. as an intellectual Muslim, Ibnu Khaldun had proposed his view about the educational philosophy which according to writer, it must get serious attention. Ibnu Khaldun demanded that educational activity is not only a consideration which is far from pragmatic aspect of life, but it's also a form of indication that burn from society form and it's development on the cultural segment. Therefore, he saw that the orientation of education is society. Because educational forms a continued process endless the human being are conscious that they catch, absorb, and experience with the full world pheno-menafor a long time. According to Ibnu Khaldun, knowledge is in a form of natural human being. Therefore, important angle of Ibnu Khaldun on educational objective is to prepare a person with his religion, ethic, social, work, idea and art.
Paradoxical down-regulation of p16INK4a mRNA with advancing age in Acute Myeloid Leukemia

Aging is generally considered to be the consequence of stem cell attrition caused by the activity of tumor suppressor pathways that censor potentially malignant clones by eliciting apoptosis or senescence. An important effector of aging is the cyclindependent kinase inhibitor p16INK4a, which is also a known suppressor of cancer. The expression of p16INK4a is very low or absent in young organisms but increases with advancing age. We recently showed that, unlike healthy cells, acute myeloid leukemia (AML) derived blasts show a down-regulation of p16INK4a mRNA with increasing age. Based on this observation we hypothesize that suppression of defense mechanisms which protect older cells against cellular and DNA damage might facilitate oncogenesis in older individuals.
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns

The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their runtime environments. The growing gap gets exacerbated by exploratory dataâ"intensive analytics, such as querying simulation data for regions of interest with multivariate, spatio-temporal constraints. Query-driven data exploration induces heterogeneous access patterns that further stress the performance of the underlying storage system. To partially alleviate the problem, data reduction via compression and multi-resolution data extraction are becoming an integral part of I/O systems. While addressing the data size issue, these techniques introduce yet another mix of access patterns to a heterogeneous set of possibilities. Moreover, how extreme-scale datasets are partitioned into multiple files and organized on a parallel file systems augments to an already combinatorial space of possible access patterns. To address this challenge, we present MLOC, a parallel Multilevel Layout Optimization framework for Compressed scientific spatio-temporal data at extreme scale. MLOC proposes multiple fine-grained data layout optimization kernels that form a generic core from which a broader constellation of such kernels can be organically consolidated to enable an effective data exploration with various combinations of access patterns. Specifically, the kernels are optimized for access patterns induced by (a) queryâ"driven multivariate, spatio-temporal constraints, (b) precisionâ"driven data analytics, (c) compressionâ"driven data reduction, (d) multi-resolution data sampling, and (e) multiâ"file data partitioning and organization on a parallel file system. MLOC organizes these optimization kernels within a multiâ"level architecture, on which all the levels can be flexibly re-ordered by userâ"defined priorities. When tested on queryâ"driven exploration of compressed data, MLOC demonstrates a superior performance compared to any state-of-the-art scientific database management technologies.
First optical identification of a supersoft X-ray source in M31

We propose the first association of an optical counterpart with a luminous supersoft X-ray source in M31, RX J0044.0+4118, observed with ROSAT in July 1991. The PSPC position is at 1.6" angular distance from a candidate nova in outburst in September of 1990. This is interesting because the incidence of classical novae among supersoft X-ray sources is an open question. The proposed optical counterpart was measured at R ≃ 17.7 in September of 1990, and it had faded to R > 19.2 when it was observed again after 70 days. The light curve was too sparsely monitored for definite conclusions on the speed class of the nova. No other variable objects with V < 23.5 were found in the ROSAT spatial error box. We evaluate that the probability that a classical or recurrent nova was in outburst in the ROSAT error box in the few years preceding the observation is very small, so the proposed identification is meaningful. We also show evidence that the associated supersoft X-ray source turned off in the third year after the outburst.
Methods for the Measurement and Characterization of Erosion in Enamel and Dentine

The advantages, limitations and potential applications of available methods for studying erosion of enamel and dentine are reviewed. Special emphasis is placed on the influence of histological differences between the dental hard tissue and the stage of the erosive lesion. No method is suitable for all stages of the lesion. Factors determining the applicability of the methods are: surface condition of the specimen, type of the experimental model, nature of the lesion, need for longitudinal measurements and type of outcome. The most suitable and most widely used methods are: chemical analyses of mineral release and enamel surface hardness for early erosion, and surface profilometry and microradiography for advanced erosion. Morphological changes in eroded dental tissue have usually been characterised by scanning electron microscopy. Novel methods have also been used, but little is known of their potential and limitations. Therefore, there is a need for their further development, evaluation, consolidation and, in particular, validation.
Graph Compression by BFS

The Web Graph is a large-scale graph that does not fit in main memory, so that lossless compression methods have been proposed for it. This paper introduces a compression scheme that combines efficient storage with fast retrieval for the information in a node. The scheme exploits the properties of the Web Graph without assuming an ordering of the URLs, so that it may be applied to more general graphs. Tests on some datasets of use achieve space savings of about 10% over existing methods.
Applying Emotional Intelligence Skills to Leadership and Decision Making in Non-Profit Organizations

Non-profit organizations and leaders may benefit from the utilization of behaviors attributed to emotional intelligence. The consideration of emotional intelligence skills becomes a strategy for the development of the non-profit organizational leader’s ability to assess the impact and consequences of decisions, while simultaneously improving the quality and effectiveness of the decision-making process. The purpose of this paper is to identify how emotional intelligence skills can be applied to enhance the leadership decision-making processes within the non-profit organization. Goleman’s (2001) and Boyatzis’ et al . (2000) four essential elements of emotional intelligence and their associated 20 behavioral competencies are utilized to develop a methodology for the practical application of emotional intelligence skills to leadership decision-making within the non-profit organization. A checklist of questions and observations is provided to assist non-profit leaders in the improvement of emotional intelligence awareness, as well as the application of emotional intelligence skills to decisions and decision-making processes.
Difficulties in Comparing Machine Learning Heuristics

One of the original goals of computational learning theory was that of formulating models that permit meaningful comparisons between the different machine learning heuristics that are used in practice [Kearns et aI. , 19871. Despite the other successes of computational learning theory, this goal has proven elusive. Empirically successful machine learning algorithms such as 64.5 and the backpropagation algorithm for neural networks have not met the criteria of the well-known Probably Approximately Correct (PAC) model [Valiant, 19841 and its variants, and thus such models are of little use in drawing distinctions among the heuristics used in applications. Conversely, the algorithms suggested by computational learning theory are usually too limited in various ways to find wide application.
Hey, NSA: Stay Away from my Market! Future Proofing App Markets against Powerful Attackers

Mobile devices are evolving as the dominant computing platform and consequently application repositories and app markets are becoming the prevalent paradigm for deploying software. Due to their central and trusted position in the software ecosystem, coerced, hacked or malicious app markets pose a serious threat to user security. Currently, there is little that hinders a nation state adversary (NSA) or other powerful attackers from using such central and trusted points of software distribution to deploy customized (malicious) versions of apps to specific users. Due to intransparencies in the current app installation paradigm, this kind of attack is extremely hard to detect. In this paper, we evaluate the risks and drawbacks of current app deployment in the face of powerful attackers. We assess the app signing practices of 97% of all free Google Play apps and find that the current practices make targeted attacks unnecessarily easy and almost impossible to detect for users and app developers alike. We show that high profile Android apps employ intransparent and unaccountable strategies when they publish apps to (multiple) alternative markets. We then present and evaluate Application Transparency (AT), a new framework that can defend against ``targeted-and-stealthy'' attacks, mount by malicious markets. We deployed AT in the wild and conducted an extensive field study in which we analyzed app installations on 253,819 real world Android devices that participate in a popular anti-virus app's telemetry program. We find that AT can effectively protect users against malicious targeted attack apps and furthermore adds transparency and accountability to the current intransparent signing and packaging strategies employed by many app developers.
Dose–response association of screen time-based sedentary behaviour in children and adolescents and depression: a meta-analysis of observational studies

Background Depression represents a growing public health burden. Understanding how screen time (ST) in juveniles may be associated with risk of depression is critical for the development of prevention and intervention strategies. Findings from studies addressing this question thus far have been inconsistent. Therefore, we conducted a comprehensive systematic review and meta-analysis of data related to this question. Methods The meta-analysis was conducted in accordance with the PRISMA guideline. We searched the electronic databases of PubMed, Web of Science and EBSCO systematically (up to 6 May 2015). OR was adopted as the pooled measurement of association between ST and depression risk. Dose–response was estimated by a generalised least squares trend estimation. Results Twelve cross-sectional studies and four longitudinal studies (including 1 cohort study) involving a total of 127 714 participants were included. Overall, higher ST in preadolescent children and adolescents was significantly associated with a higher risk of depression (OR=1.12; 95% CI 1.03 to 1.22). Screen type, age, population and reference category acted as significant moderators. Compared with the reference group who had no ST, there was a non-linear dose–response association of ST with a decreasing risk of depression at ST<2 h/day, with the lowest risk being observed for 1 h/day (OR=0.88; 95% CI 0.84 to 0.93). Conclusions Our meta-analysis suggests that ST in children and adolescents is associated with depression risk in a non-linear dose–response manner.
LiveWeb - Core Language for Web Applications

We present a typed core language for web applications that integrates interface definition, business logic and database manipulation. By expressing the interactions between dierent application layers in the same programming language, we gain the benefits of strongly typed lan- guages without loosing the programming flexibility of interpreted lan- guages which is frequently an argument in favor of unsafe programming languages. We describe a prototype of a programming environment and runtime support system for our language that allows a very dynamic style of web application development.
Exploring NoC Virtualization Alternatives in CMPs

Chip Multiprocessor systems (CMPs) contain more and more cores in every new generation. However, applications for these systems do not scale at the same pace. Thus, in order to obtain a good utilization several applications will need to coexist in the system and in those cases virtualization of the CMP system will become mandatory. In this paper we analyze two virtualization strategies at NoC-level aiming to isolate the traffic generated by each application to reduce or even eliminate interferences among messages belonging to different applications. The first model handles most interferences among messages with a virtual-channels (VCs) implementation minimizing both execution time and network latency. However, using VCs results in area and power overhead due to the cost of control and buffer implementation. In contrast, the second model is based on the resource partitioning which results in a space partitioning of the CMP chip in several regions. The paper shows a comparison of both models and identifies their main advantages and disadvantages.
Diffusing multi-aspects of local and global social trust for personalizing trust enhanced recommender system

Recommender systems are an effective solution to the information overload problem, especially in the World Wide Web where we gather vast information from anonymous people around the world. Trust enhanced recommender system to be promising to overcome the cold-start and sparsity challenges of traditional recommender system as well as improving the accuracy of the recommendations. This arise a research focus about blending of the trust information and trust level prediction to the recommendation framework. From the past decade, numerous researches were done to adapt online social network trust (simply social trust) for many web applications, including e-commerce, P2P networks, multi-agent systems, recommendation systems, and service-oriented computing. Usually, online social trust prediction can be based on two mechanisms to acquire trust value: evaluating trustee on basis of truster/truster's neighbor trust experience information (local trust), otherwise evaluating trustee on the basis of the whole social network trust experience information as reputation (global trust). Here, we leverage social science theories to develop the trust models that enable the study of online social trust evolution. In this paper, we propose a matrix factorization based trust enhanced recommendation system which properly incorporates both local trust and global trust with diffusion of the social trust multi-aspects to improve the quality of recommendations for mitigating the data sparsity and the cold-start issues. Through experiments on the Epinions data set, we show that our model outperforms its standard trust enhanced counterparts with respect to accuracy on recommender systems.
User satisfaction fairness based optimal charging algorithm for multiple devices

In this paper, we present an optimal charging algorithm for multiple devices in the perspective of user satisfaction fairness. The proposed algorithm can maximize the total sum of the increment of user satisfaction levels in a finite charging scheduling period. In order to develop the algorithm, we define an objective function that includes the characteristics of charging capacity behaviors for the associated devices and formulate the problem as a convex optimization problem. Therefore, the proposed algorithm can be efficiently implemented in a very low complexity. Simulation results confirm that the proposed algorithm can achieve the maximum sum of the increment of user satisfaction levels compared to existing conventional approaches (e.g., equal allocation), thereby leading to an improved performance.
A Stable Total Least Square Adaptive Algorithm for the Nonlinear Volterra Filter

Aiming at the nonlinear filtering problem that exists when the input and output observation data are both corrupted by noises, a stable total least square adaptive algorithm for the nonlinear Volterra filter is proposed in this paper. Taking the minimum Rayleigh Quotient of the augmented Volterra weight vectors and a constraint to the last element of the augmented Volterra weight vectors via a Lagrange multiplier as the overall cost function, the recursive formula of the Volterra weight vector is derived. The stability property of the algorithm is analyzed and the step-size parameter to guarantee the stability of the algorithm is educed. The proposed algorithm is implemented without requiring normalization. The simulation results have shown that, in addition to the fine convergence, the robust anti-noise performance and the stable convergence precision of the proposed algorithm are remarkably higher than other total least square algorithms for the nonlinear system.
Analysis of Gene Expression Data 2.1 Introduction 2.1.1 Sequencing by Hybridization 2.1.2 Sbh Technology

DNA Arrays or DNA Chips were proposed in the late 1980’s by several researchers independently for the purpose of DNA sequencing (for example [3], [10] and [11]), and the technology was named DNA Sequencing By Hybridization (SBH ). This method may also be referred to as ”sequencing by k-tuple composition”. The idea is to build a two-dimensional grid (or matrix) of all possible k-tuples (or ”k-mers”) for a given k. At each (i, j) entry a distinct k-tuple or probe is attached. The matrix of probes will be referred to as the ”k-chip”, C(k), or the ”sequencing chip”. The DNA probes are referred to as oligonucleotides, or oligos for short. Then, a sample of the single stranded DNA to be sequenced is presented to the matrix. This DNA is labelled with a radioactive or fluorescent material. Each k-tuple present in the sample hybridizes with its reverse complement in the matrix. After washing unhybridized DNA from the chip, the hybridized k-tuples can be determined by a device, which detects the labelled DNA. One can distinguish between two major formats of DNA arrays:
The role of promoter cis-element, mRNA capping, and ROS in the repression and salt-inducible expression of AtSOT12 in Arabidopsis

Inducible gene expression is a gene regulatory mechanism central to plant response to environmental cues. The inducible genes are often repressed under normal growth conditions while their expression levels are significantly elevated by conditions such as abiotic stresses. Induction of gene expression requires both cis-acting DNA elements and trans-acting proteins that are modulated through signal transduction pathways. Here we report several molecular events that affect salt induced expression of the Arabidopsis AtSOT12 gene. Promoter deletion analysis revealed that DNA elements residing in the 5′ UTR are required for the salt induced expression of AtSOT12. Cytosine methylation in the promoter was low and salt stress slightly increased the DNA methylation level, suggesting that DNA methylation may not contribute to AtSOT12 gene repression. Co-transcriptional processing of AtSOT12 mRNA including capping and polyadenylation site selection was also affected by salt stress. The percentage of capped mRNA increased by salt treatment, and the polyadenylation sites were significantly different before and after exposure to salt stress. The expression level of AtSOT12 under normal growth conditions was markedly higher in the oxi1 mutant defective of reactive oxygen species (ROS) signaling than in the wild type. Moreover, AtSOT12 transcript level was elevated by treatments with DPI and DMTU, two chemicals preventing ROS accumulation. These results suggest that repression of AtSOT12 expression may require physiological level of ROS and ROS signaling.
How it feels, not just how it looks : towards an understanding of kinaesthetic and proprioceptive experiences of interaction with technology

NO FULL TEXT AVAILABLE. This thesis contains 3rd party copyright material. – – Movements of the human body are involved in all our interaction with technology, and these movements have kinaesthetic and proprioceptive aspects to them. This thesis addresses kinaesthetic and proprioceptive experiences in technology interaction, and develops an empirical grounded concept, the feel dimension, an articulation of the different aspects of this experience. The thesis discusses why movement understandings should be a part of interaction design practice, and how to work with these understandings through a set of design questions for exploring kinaesthetic and proprioceptive experiences in a technology design situation. The questions in this thesis address how and what makes a technological system good to use from the perspective of the kinaesthetic and proprioceptive senses. These questions were explored in three studies in which I examined the use of technology enabled through movement of the body, the experience of moving, and movement as a material for design. Movement was analysed from three different points of view, as an object for investigation, as subjective experience and as a form of knowing. The outcome of the thesis suggests that what makes a system good to use, from the perspective of the kinaesthetic and proprioceptive senses, is an understanding of how the four concepts tangibility, proximity, dynamics and Merleau-Ponty's body schema (1962) influence our kinaesthetic and proprioceptive experiences. Synthesised, these four concepts form the foundation for the feel dimension, the main contribution of this thesis. The feel dimension attempts to define the role our kinaesthetic and proprioceptive senses play in experiencing technology interactions from the point of view of people moving and acting. Additional contributions include: • Three empirical studies exploring different aspects of movement, which highlight the use of technology enabled through movement of the body, the experience of moving and movement as a material for design. • Insights into and extension of the nature of user experience by introducing kinaesthetic and proprioceptive experiences as an experiential quality. • Alternative phenomenologically informed methodologies on how to collect and approach data about kinaesthetic and proprioceptive experience and the use of multiple perspectives in the analysis of this data. • Suggestions for how to understand movement as a part of interaction design practice. That is, how to be able to design technology interactions based in understandings of movement through performance and observation of movement. • A set of design questions following from the feel dimension that can be used to organise and support design decisions when designing for kinaesthetic and proprioceptive experiences.