Miracle-dz/UniFAR-FTUs huggingface dataset:
Endothelial function and risk of hypertension and blood pressure progression: the prospective investigation of the vasculature in Uppsala seniors

Objectives: Impaired endothelial function is associated with risk of cardiovascular events, possibly via increased blood pressure. We aimed to investigate if impaired endothelial function is associated with risk of hypertension and blood pressure progression in a large community-based sample. Methods: In the population-based Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study, endothelium-dependent vasodilation (EDV) was measured in resistance arteries using the invasive forearm technique and in conduit arteries using the flow-mediated vasodilation technique (FMD) at age 70, and participants were re-examined after 5 years. We investigated risk of developing hypertension or blood pressure progression in multivariable-adjusted logistic regression models. Results: In 201 out of 506 untreated persons, blood pressure progressed to a higher stage, and among 197 normotensive persons, 87 developed hypertension. Endothelial function, measured with the invasive forearm technique and the brachial ultrasound technique, did not predict either the development of hypertension [EDV: odds ratio (OR) per SD 1.16, 95% confidence interval (CI) 0.84–1.59; FMD: OR per SD 1.00, 95% CI 0.76–1.33) or blood pressure progression (EDV: OR per SD 0.90, 95% CI 0.73–1.11; FMD: OR per SD 1.01, 95% CI 0.84–1.21). Conclusion: In this large community-based sample of elderly, impaired endothelial function measured with the invasive forearm technique did not play a major role in the development of hypertension or blood pressure progression. Observed associations between endothelial dysfunction and risk of cardiovascular events are likely mediated through other pathways than hypertension.
Pengaruh intensitas mengikuti bimbingan agama Islam terhadap kesehatan mental para lanjut usia di Panti Wredha Harapan Ibu Semarang

Keberadaan lanjut usia (lansia) dipanti Wredha membuat mereka menjadi terasingkan dan dikucilkan,sehingga mereka merasa kesepian dan bosan. Kondisi ini, seringkali menimbulkan depresi, takut menjalani kehidupan. Ada banyak hal yang bisa dilakukan dalam memberikan motivasi untuk mengurangi tingkat depresi dan kecemasan yang dihadapinya, salah satunya yaitu membiasakan lansia secara intensif untuk mengikuti bimbingan agama Islam, karena bimbingan yang dilakukan memberikan bimbingan tentang tuntunan-tuntunan agama dan bisa mendekatkan diri kepada Allah SWT. Rumusan masalah dalam penelitian ini adalah adakah pengaruh intensitas bimbingan agama Islam terhadap kesehatn mental para lanjut usia di Panti Wredha Harapan Ibu. manfaat dari penelitian ini diharapkan mampu menambah khasanah keilmuan, dan dapat dijadikan bahan masukan bagi peneliti selanjutnya. Penelitian ini merupakan penelitian kuantitatif yang bertujuan untuk mengukur secara empirik pengaruh intensitas bimbingan agama Islam terhadap kesehatan mental para lansia di panti Wredha Harapan Ibu. Pada populasi penelitian ini adalah seluruh lansia yang berada di panti Wredha Harapan Ibu Semarang yang berjumlah 38 orang. Kriteria lansia yang dijadikan responden adalah sebagai berikut: (1) lansia yang beragama Islam danmendapatkan bimbingan agama Islam (2) lansia yang bisa diajak berkomunikasi (3) lansia yang sehat rohani. Pengukuran data penelitian menggunakan skala psikologi yang terdiridari skala kesehatan mental dan intensitas bimbingan agama Islam.Teknik analisis dalam penelitian ini menggunakan teknik regresi sederhana dengan memanfaatkan program SPSS 16.00. Hasil temuan dalam penelitian ini adalah tidak Ada pengaruh intensitas bimbingan agama Islam terhadap kesehatan mental para lansia.
Web Content Recommendation Methods Based on Reinforcement Learning

Information overload is no longer news; the explosive growth of the Internet has made this issue increasingly serious for Web users. Recommender systems aim at directing users through this information space, toward the resources that best meet their needs and interests. In this chapter we introduce our novel machine learning perspective toward the web recommendation problem, based on reinforcement learning. Our recommendation method makes use of the web usage and content data to learn a predictive model of users’ behavior on the web and exploits the learned model to make web page recommendations. Unlike other recommender systems, our system does not use the static patterns discovered from web usage data, instead it learns to make recommendations as the actions it performs in each situation. In the proposed method we combined the conceptual and usage information in order to gain a more general model of user behavior and improve the quality of web recommendations. A hybrid web recommendation method is proposed by making use of the conceptual relationships among web resources to derive a novel model of the problem, enriched with semantic knowledge about the usage behavior. The method is evaluated under different settings and it is shown how this method can improve the overall quality of recommendations. Chapter 8.5 Web Content Recommendation Methods Based on Reinforcement Learning
The Three K's A model for knowledge that supports ontology and epistemology

The predominant taxonomy of knowledge models depict a hierarchical prescriptive structure that emphasizes discrete categorisation of knowledge. Whilst benefiting cataloguing of knowledge, by favouring an ontological over epistemological approach these taxonomies do not comfortably facilitate codification under situations of ambiguity, intangibility or duality. By incorporating the circumstances of knowledge into the knowledge itself, the 3K model supports more accurate capture, storage and utilisation than purely ontological mechanisms. Apart from improving the ability to capture more elusive implicit knowledge, conditions of dualism where the same knowledge is known in different ways by different people or under different contexts by the same person may now be better accommodated.
Modeling of a Continuous Review Supply Chain in an Uncertain Environment

Although supply chain (SC) has gained increasing attention in the last two decades and numerous SC problems have been identified and solved, there is a lack of systematic approach to solve SC problems in an uncertain environment. Since past data are not always available or reliable due to market durbulance, the sources of uncertainty (e.g. lead time, demand rate, inventory costs and backorder costs) are modeled by fuzzy numbers rather than by probabilistic distributions. In this paper, a realistic supply chain model with imprecise demand, lead-time and inventory costs have been formulated and an optimal policy is proposed to minimize the cost using man-machine interaction. Here we consider a two-level supply chain with single warehouse at the upper echelon and many retailers at the lower-echelon. The unsatisfied customer demands at the retailers are partially backordered using the control parameter b. The replenishment policy at all installations is continuous review policy. The imprecise parameters of lead-time, inventory costs and demand are expressed through linear/non-linear membership functions. These are represented by different types of membership functions, linear or quadratic, depending upon the prevailing supply condition and marketing environment. The imprecise parameters are transformed into corresponding interval numbers and then following the interval analysis, the objective function for average cost is changed into respective multi-objective functions. These functions are minimized and solved for a Pareto-optimum solution by interactive fuzzy decision-making procedure. This process leads to man-machine interaction for optimum and appropriate decision acceptable to the decision makers firm. The model is illustrated numerically and the results are presented in tabular forms.
On the unfolding of α‐lytic protease and the role of the pro region

Molecular dynamics simulations of α‐lytic protease (αLP) alone and complexed with its pro region (PRO) are performed to understand the origin of its high unfolding (and folding) barrier when it is alone and how the pro region lowers this barrier. At room temperature, αLP exhibits lower dynamic fluctuations than α‐chymotrypsin. Simulation of PRO alone led to reorientation of its N terminal helix and collapse to a more compact state. A model for the uncleaved proenzyme was built and found to be stable in the time scale of the simulations. Energetic analysis suggests that the origin of strain in the uncleaved proenzyme compared with the cleaved complex is in the intramolecular backbone electrostatic interactions of the cleaved strand. In high temperature simulations, the interaction of the long beta hairpin of the enzyme with the C terminal beta sheet of PRO is among the most stable in the complex and a likely “nucleation site” for folding. In the course of unfolding, the C terminal tail of PRO is sometimes observed to intervene between the long hairpin and the aspartate loop of the enzyme, perhaps thereby lowering the energy barrier for separation of the two hairpins. Tighter interactions at the interface between the enzyme and its pro region are also occasionally observed, providing an additional mechanism for unfolding catalysis. Simulations of a mutant enzyme where the buried ion pair residues R102 and D142 were replaced by W and L, respectively, did not display any distinguishable behavior compared with the wild type. Proteins 2000;41:21–32. © 2000 Wiley‐Liss, Inc.
Creativity, intelligence and cognitive controls.

This study was concerned with a) the individual's encounter with his environment and b) the dimensions by which the individual organizes this encounter. The theoretical perspective adopted was Piaget's conception of intelligence as involving adaptation and organization. The modes of the individual's adaptation considered were intell­ igence and creativity, while the dimensions organizing this encounter were the cognitive controls of field dependenceindependence, constricted-flexible, focusing-scanning, tolerance for ambiguity, equivalence range and levelingsharpening. It was hypothesized that a) high creative ,Ss would be characterized, in the extreme, by the following cognitive controls: field independence, tolerance for ambiguity, and scanning; b) no distinction would be demon­ strated between high and low creative _Ss on the following cognitive controls: constricted-flexible, equivalence range and level ing-sharpening. The sample consisted of 60 boys from the fifth grade of elementary school. They were administered three measures of intelligence and three of creativity, and eight tests for cognitive controls: Embedded Figures Test, Stroop Colour-Word Test, Object Sorting Test, Category Width Test, Schematizing Test and two tests designed by the author for focusing-scanning and tolerance for ambiguity. The S£ were Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. divided into groups of 15 Ss. in regard to whether they were high and/or low on creativity and intelligence; the relation ship of each control to each group of Ss_ was then considered The hypotheses were confirmed in regard to the controls of focusing, constricted-flexible, and equivalence range. However, contrary to expectation, field independence and tolerance for ambiguity did not distinguish the high creative from the low creative S£. The results for levelin g-sharpen i n g were conflicting, but there was indications that the high creative Sts, tended to be sharpeners and the low creative Ss, levelers. The results were discussed in the light of Piaget's theoretical conceptions. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. TABLE OF CONTENTS PREFACE . LIST OF TABLES . Chap ter I
Filtered‐top‐k association discovery

Association mining has been one of the most intensively researched areas of data mining. However, direct uptake of the resulting technologies has been relatively low. This paper examines some of the reasons why the dominant paradigms in association mining have not lived up to their promise, and argues that a powerful alternative is provided by top‐k techniques coupled with appropriate statistical and other filtering. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 183–192 DOI: 10.1002/widm.28
Model-driven performance engineering of self-adaptive systems: a survey

To meet quality-of-service requirements in changing environments, modern software systems adapt themselves. The structure, and correspondingly the behavior, of these systems undergoes continuous change. Model-driven performance engineering, however, assumes static system structures, behavior, and deployment. Hence, self-adaptive systems pose new challenges to model-driven performance engineering. There are a few surveys on self-adaptive systems, performance engineering, and the combination of both in the literature. In contrast to existing work, here we focus on model-driven performance analysis approaches. Based on a systematic literature review, we present a classification, identify open issues, and outline further research.
SEDA: Scalable Embedded Device Attestation

Today, large numbers of smart interconnected devices provide safety and security critical services for energy grids, industrial control systems, gas and oil search robots, home/office automation, transportation, and critical infrastructure. These devices often operate in swarms -- large, dynamic, and self-organizing networks. Software integrity verification of device swarms is necessary to ensure their correct and safe operation as well as to protect them against attacks. However, current device attestation schemes assume a single prover device and do not scale to swarms. We present SEDA, the first attestation scheme for device swarms. We introduce a formal security model for swarm attestation and show security of our approach in this model. We demonstrate two proof-of-concept implementations based on two recent (remote) attestation architectures for embedded systems, including an Intel research platform. We assess performance of SEDA based on these implementations and simulations of large swarms. SEDA can efficiently attest swarms with dynamic and static topologies common in automotive, avionic, industrial control and critical infrastructures settings.
Markov models of social dynamics: Theory and applications

This article shows how agent-based models of social dynamics can be treated rigorously and analytically as finite Markov processes, and their long-run properties are then given by an expanded version of the ergodic theorem for Markov processes. A Markov process model of a simplified market economy shows the fruitfulness of this approach.
Structural analysis of the interior PM rotor considering both static and fatigue loading

Interior permanent magnet synchronous machines result to be a valid motor topology in case of both high efficiency and high flux-weakening range. These interesting peculiarities can be profitably achieved adopting a salient rotor structure. However, the design of an anisotropic rotor equipped with a multi flux-barrier structure is a very challenging task due to two conflicting requirements: (i) torque performance and (ii) structural integrity. The necessary iron bridges between the multiple rotor cavities, in which the permanent magnets are inset, represent a magnetic short circuit reducing the overall air gap flux. The structural strength assessments under static and fatigue loading of a radially laminated interior permanent magnet rotor are presented. The static resistance is assessed by using a classical approach in mechanical structural design, while the fatigue assessment required careful considerations due to the reduced values of the tip radius of the cavities, which induce severe stress concentration effects. Then the fatigue assessments are carried out using both the classical notch sensitivity theory and a more recent approach based on a non-conventional extension of the Fracture Mechanics discipline. As a result, both static and fatigue strengths are assessed successfully.
XtremWeb: a generic global computing system

Global computing achieves high throughput computing by harvesting a very large number of unused computing resources connected to the Internet. This parallel computing model targets a parallel architecture defined by a very high number of nodes, poor communication performance and continuously varying resources. The unprecedented scale of the global computing architecture paradigm requires us to revisit many basic issues related to parallel architecture programming models, performance models, and class of applications or algorithms suitable for this architecture. XtremWeb is an experimental global computing platform dedicated to provide a tool for such studies. The paper presents the design of XtremWeb. Two essential features of this design are multi-applications and high-performance. Accepting multiple applications allows institutions or enterprises to set up their own global computing applications or experiments. High-performance is ensured by scalability, fault tolerance, efficient scheduling and a large base of volunteer PCs. We also present an implementation of the first global application running on XtremWeb.
Composite sensor model and security agent to improve privacy of ubiquitous computing

With the development of electronic and networking technologies, ubiquitous computing is now an exploring focused area. Due to characteristics of ubiquitous computing, privacy and security issues are always quite challenging for application development. This paper presents a novel paradigm to enhance the privacy and security in ubiquitous environments. Unlike previous context model, the proposed composite sensor-based context model (ComSensor) captures both complicated context entities and security requirements. Security agent governs security and privacy by privacy rules defined in ComSensor. One security agent is responsible for privacy management for one context objects. Sensitive context raw data and information are kept only in distributed security agents, from which context queries are processed and context information is disclosed in different accurate levels according to privacy rules. Based on ComSensor and security agent, decentralized trust management architecture is proposed, which is appropriate for different kinds of ubiquitous applications. Examining results on a prototype show that this paradigm is scalable and runs in real-time mode.
Extracting Hyponymy of Ontology Concepts from Patent Documents

Automatic extraction of hyponymy relations between concepts in an ontology is significant for ontology learning and knowledge organization. In this paper, we propose a fusion approach of hyponymy relation extraction in patent domain, using Relative Decoration Degree (RDEG) to extract high precision relations, and then Association Rule (AR) to enrich those relations. We use Cilin to extend a word to a set to improve the recall, and we consider the position of core words in Chinese to improve the precision. Different to classical studies, we use a simplified method to select parameters to fuse approaches and merge extraction relations together as the final result. The results comparing with the baseline show that this approach can obtain better performance on the hyponymy relation extraction task.
Intelligent and environment-independent Peg-In-Hole search strategies

Cylindrical Peg-In-Hole assembly has been the benchmark force-controlled robotic assembly. It involves two main stages. The first one aims at placing the peg center within the clearance region of the hole center, known as the search phase. The next step is to correct the orientational misalignment, known as the insertion phase. The insertion has been widely researched as compared to the search phase. Search is generally done by locating the hole center using a vision-sensor or by using blind search techniques. An intelligent search in which a neural network is trained with the moment-profile over the hole surface and then tries to infer the hole center based on the current moment values, works for a parallel peg only and also requires the moment profile over the complete hole and hence is not general. This paper generalizes this approach for the tilted peg case. Another intelligent strategy is precession-based hole search, but again, it requires the tilt of the peg and peg's center to be known to perform precession. We need a general-purpose intelligent search strategy that can work without any knowledge of the environment (like hole diameter, peg tilt, etc.). In this paper, we suggest search strategies using mathematical optimization techniques. These strategies do not require any a priori information about the working environment. Simulation results are presented.
IMPLEMENTASI DETEKSI TEPI BERBASIS ALGORITMA SOBEL

Operasi pengolahan citra adalah operasi yang dilakukan untuk mentransformasikan suatu citra menjadi citra lain.Berdasarkan tujuan transformasi operasi pengolahan citra dikategorikan sebagai berikut: Peningkatan Kualitas Citra (Image Enhancement) dan Pemulihan Citra (Image Restoration), Pada proses Image Enhancement ,kualitas citra dari derau/noise diperbaiki sehingga mudah di intrepertasikan oleh manusia ataupun mesin.Salah satu contoh dari noise adalah citra kabur (blur). Algoritma Sobel yaitu konversi citra true color ke grayscale, Sobel, lalu perhitungan MSE dan PSNR Dari perhitungan MSE dan PSNR dapat kita simpulkan bahwa algoritma Sobel menghasilkan MSE dan PSNR yang berbeda beda untuk setiap kasus, dimana tingkat MSE dan PSNR digunakan untuk mengukur kualitas citra. Sedangkan untuk Sobel menghasilkan MSE dan PSNR yang sama untuk setiap kasus, dimana tingkat MSE dan PSNR digunakan untuk mengukur kualitas citra.
Diminished Reality Via Multiple Hand-Held CAMERAS

This paper proposes a novel method for calibrating multiple hand-held cameras target for diminished reality application. Our method does not require any special markers or information about camera parameters. projective grid space (PGS) which is 3D space defined by epipolar geometry of two basis cameras is used for dynamic cameras calibration. Geometrical relations among cameras in PGS are obtained from 2D-2D corresponding points between views. We utilize scale invariant feature transform (SIFT) for finding corresponding points in natural scene for registering cameras to PGS. Moving object is segmented via graph cut optimization. Finally, the reconstructed visual hull is used to synthesize free viewpoint video in which unwanted or occluding object is deliberately removed. In the experimental results, free viewpoint video without unwanted object which is captured by handheld cameras is successfully synthesized using the proposed method.
Composite events for xml

Recently, active behavior has received attention in the XML field to automatically react to occurred events. Aside from proprietary approaches for enriching XML with active behavior, the W3C standardized the Document Object Model (DOM) Event Module for the detection of events in XML documents. When using any of these approaches, however, it is often impossible to decide which event to react upon because not a single event but a combination of multiple events, i.e., a composite event determines a situation to react upon. The paper presents the first approach for detecting composite events in XML documents by addressing the peculiarities of XML events which are caused by their hierarchical order in addition to their temporal order. It also provides for the detection of satisfied multiplicity constraints defined by XML schemas. Thereby the approach enables applications operating on XML documents to react to composite events which have richer semantics.