Miracle-dz/UniFAR-FTUs huggingface dataset:
Chapter 12 Knowledge integration and power relations: Pathways to sustainability in Madrid

Purpose – The aim of this chapter is to find pathways for a better stakeholder involvement in land planning issues at regional level. The case study is the Madrid region (Spain). Methodology/approach – The work presented in this chapter follows a methodological strategy called integrative research, as a combination of qualitative and quantitative methods. Research implications – This kind of research seems to be the most appropriate to deal with the conflicts we have in large urban regions with “rural landscapes”, and conflicts between antagonized stakeholders. Findings – The region of Madrid has gone through irreversible, territorial changes during the last decade. Urban growth, tourist development and abandonment of agricultural land are some of the principal causes of these land-use changes. 80 per cent of the population live in the urban area of the region. In contrast, only 5 per cent of the population live in rural areas, i.e., municipalities that have less than 1.000 inhabitants. Nevertheless, rural areas in Madrid are of great importance due to their tourism value. Practical implications – A participatory policy tool is developed on the basis of several analyses (spatial–temporal analysis and political–-institutional analysis) to formulate policy recommendations and scenarios for sustainability. Originality – Integrative research, combining discursive and analytical phases of work, seems a good way to improve the sustainable configuration of the region of Madrid.
Fast algorithms for constructing t-spanners and paths with stretch t

The distance between two vertices in a weighted graph is the weight of a minimum-weight path between them. A path has stretch t if its weight is at most t times the distance between its end points. We consider a weighted undirected graph G=(V, E) and present algorithms that compute paths with stretch 2/spl les/t/spl les/log n. We present a O/spl tilde/((m+k)n/sup (2+/spl epsiv///t)) time randomized algorithm that finds paths between k specified pairs of vertices and a O/spl tilde/((m+ns)n/sup 2(1+log(n)/ /sup m+/spl epsiv/)/t/) deterministic algorithm that finds paths from s specified sources to all other vertices (for any fixed /spl epsiv/>0), where n=|V| and m=|E|. This improves significantly over the slower O/spl tilde/(min{k, n}m) exact shortest paths algorithms and a previous O/spl tilde/(mn/sup 64/t/+kn/sup 32/t/) time algorithm by Awerbuch et al. A t-spanner of a graph G is a set of weighted edges on the vertices of G such that distances in the spanner are not smaller and within a factor of t from the corresponding distances in G. Previous work was concerned with bounding the size and efficiently constructing t-spanners. We construct t-spanners of size O/spl tilde/(n/sup 1+(2+/spl epsiv///t)) in O/spl tilde/(mn/sup (2+/spl epsiv///t)) expected time (for any fixed /spl epsiv/>0), what constitutes a faster construction (by a factor of n/sup (3+2//t)) of sparser spanners than was previously attainable. We also provide efficient parallel constructions. Our algorithms are based on new structures called pairwise-covers and a novel approach to construct them efficiently. <<ETX>>
Study of Morphological, Optical and Electrical Properties of Graphene Oxide Thin Film Relative to the Reaction Time of Synthesis

In this work, graphene oxide (GO) was synthesized by treating graphite powder with potassium permanganate (KMnO4) and a mixture of concentrated sulphuric acid (H2SO4)/ phosphoric acid (H3PO4) at various reaction time. The GO thin film is coated on a glass substrate by using drop casting method. The morphological, optical and electrical properties of GO thin film were carried out by using scanning electron microscopy (SEM), UV-Vis spectroscopy (UV-Vis), Fourier Transform Infrared Spectroscopy (FTIR), and current-voltage (I-V) characteristic. The morphological study of GO shows that more oxygen functional groups were observed as the reaction time increases from 24h to 96h and is justified from the optical properties of GO thin films. The optical and morphological properties of GO thin film affects the electrical properties as the resistivity increase from 9.33 x 106Ω. cm to 26.15 x 106Ω. cm. Morphological and optical data confirms that 48h is the optimized reaction time having a resistivity of 12.30 x 106Ω. cm.
GAL4 system in drosophila: A fly geneticist's swiss army knife

The last decade has seen an enormous expansion in the genetic toolbox of model organisms. This has been particularly apparent in the fruitfly, Drosophila melanogaster, in which the development of these tools and their ongoing extension, along with the completion of the genome sequence has allowed for the analysis of most any process. One particularly elegant example of tool development was the creation of the GAL4/UAS system for targeted gene expression in Drosophila. In addition to helping make Drosophila one of the most genetically tractable metazoans, this system has also helped Drosophila attract attention from the biotechnology industry as a viable means to investigate the function of genes implicated in a wide variety of medically and economically important processes. In this article, we review the GAL4/UAS system in Drosophila and the numerous extensions that have morphed it into a veritable Swiss army knife for the analysis of gene function.
Medication and finance management among HIV-infected adults: The impact of age and cognition

This study examined the effects of aging and cognitive impairment on medication and finance management in an HIV sample. We observed main effects of age (older < younger) and neuropsychological impairment on functional task performance. Interactions between age and cognition demonstrated that older impaired individuals performed significantly more poorly than all other comparison groups. There were no relationships between laboratory performance and self-reported medication and finance management. The interaction of advancing age and cognitive impairment may confer significant functional limitations for HIV individuals that may be better detected by performance-based measures of functional abilities rather than patient self-report.
Performance comparison of different vector control approaches for a synchronous reluctance motor drive

In this paper, a comprehensive performance comparison has been made for different vector control methods in Synchronous Reluctance Motor (SynRM). The vector control methods investigated are constant direct axis current control and constant current angle control. Different methods of constant current angle vector control included in this paper are MTPA (Maximum torque per ampere), MPFC (Maximum power factor control) and MTPF (Maximum torque per flux). The SynRM is driven by a current controlled PWM voltage source inverter controlled by a PI speed controller. All these methods have been modelled and simulated in Simulink/MATLAB environment, by keeping the PI controller parameters the same and a thorough comparison has been brought out. A very good performance is achieved for the above mentioned vector control methods and their performance parameters such as response time, torque ripple and peak stator current are being compared. The results obtained from the analysis will help in deciding which of the above vector control techniques can be employed in high performance drive applications such as electric vehicles, ship propulsion, traction, etc., when and under what conditions.
Experiences with XQuery Processing for Data and Service Federation

In this paper, we describe our experiences in building and evolving an XQuery engine with a focus on data and service federation use cases. The engine that we discuss is a core component of the BEA AquaLogic Data Services Platform product (recently re-released under the name Oracle Data Service Integrator). This XQuery engine was designed to provide efficient query and update capabilities over various classes of enterprise data sources, serving as the data access layer in a service-oriented architecture (SOA). The goal of this paper is to give an architectural overview of the engine, discussing some of the key implementation techniques that were employed as well as several XQuery language extensions that were introduced to address common data and service integration problems and challenges.
Implicit Fixed Point Iterations

Let K be a compact convex subset of a real Hilbert space H; T : K → K a continuous hemicontractive map. Let {αn} be a real sequence in [0, 1] satisfying appropriate conditions, then for arbitrary x0 ∈ K and {vn} in K, the sequence {xn} defined iteratively by xn = αnxn−1 + (1− αn)Tvn, n ≥ 1 converges strongly to a fixed point of T . We also establish a strong convergence of an implicit iteration process to a common fixed point for a finite family of ψ−uniformly pseudocontractive and ψ−uniformly accretive mappings in real Banach spaces. The results presented in this paper extend and improve the corresponding results of Refs. [4, 9, 19, 20, 22, 25, 44].
Milk fat globule epidermal growth factor 8 inhibits periodontitis in non‐human primates and its gingival crevicular fluid levels can differentiate periodontal health from disease in humans

AIM We have previously shown that the secreted glycoprotein milk fat globule epidermal growth factor 8 (MFG-E8) has anti-inflammatory and anti-osteoclastogenic properties. Our objective was to investigate the potential of MFG-E8 as a diagnostic or therapeutic agent in periodontitis. MATERIALS AND METHODS Periodontitis was induced in non-human primates (NHPs) by placing ligatures around posterior teeth on both halves of the mandible for a split-mouth design: one side was treated with MFG-E8-Fc and the other with Fc control. Disease was assessed by clinical periodontal examinations, radiographic analysis of bone loss, and analysis of cytokine mRNA expression in gingival biopsy samples. Gingival crevicular fluid (GCF) was collected from human healthy volunteers or subjects with gingivitis, chronic moderate periodontitis, or chronic severe periodontitis. Additionally, GCF was collected from a subset of severe periodontitis patients following scaling and root planing (SRP) and after pocket reduction surgery. GCF was analysed to quantify MFG-E8 and periodontitis-relevant cytokines using multiplex assays. RESULTS In NHPs, sites treated with MFG-E8-Fc exhibited significantly less ligature-induced periodontal inflammation and bone loss than Fc control-treated sites. In humans, the GCF levels of MFG-E8 were significantly higher in health than in periodontitis, whereas the reverse was true for the proinflammatory cytokines tested. Consistently, MFG-E8 was elevated in GCF after both non-surgical (SRP) and surgical periodontal treatment of periodontitis patients. CONCLUSION MFG-E8 is, in principle, a novel therapeutic agent and biomarker of periodontitis.
CODDULM: An approach for detecting C&C domains of DGA on passive DNS traffic

Domain plays an important role as one of the components on the Internet, so more and more malicious behavior has been conducted by using domains, such as spam, botnet, phishing and the like. DGA (Domain Generation Algorithm), one kind of DNS technology, has been used by domain-flux commonly in botnets. In this paper, we propose a method called CODDULM (C&c domains Of Dga Detection Using Lexical feature and sparse Matrix). Firstly, it finds the NXDomains (Non-existent domains) on the passive DNS traffic to locate the suspicious infected hosts. Secondly, it selects DGA domains by lexical features according to suspicious infected hosts. Lastly, it discovers DGA C&C (Command and Control) domains through SVM (Support Vector Machine algorithm) classifier. At the end of this paper, we conduct the experiment to verify the effect of the method and the high accuracy of it.
Delay-Insensitive Cell Matrix

This paper describes the design of a delay-insensitive (DI) Cell Matrix. This architecture allows for massively parallel, self-determined operation and can be used to implement regular digital circuits or new types of circuits for nanocomputing systems. One advantage of this cell matrix compared to its synchronous counterpart is the delay-insensitive asynchronous nature. This architecture does not need a global clock, which would be infeasible for nanocomputing systems due to the enormous number of clocked nodes. Instead, a hand-shaking protocol for inter-component communication is implemented. Keywords-parallel processing; asynchronous; delay-insensitive; clockless; NCL
Reliability of Near Infrared Body Composition Analysis

&NA; Results concerning the validity and reliability of Near Infrared (NIR) body composition analysis have been equivocal. Limited information is available on the reliability of NIR. The purpose of this study was to evaluate the intratester, intertester and interunit reliability of NIR percent body fat (%BF) and optical density (OD) measurements. Eighty healthy adults (29 men, 51 women), ranging in age from 18 to 36 years (&OV0335; = 23.6, SD = 3.1), participated. Percent body fat and OD measurements were recorded by four investigators using one Futrex 5000 and three Futrex 5000A NIR units. Three of the investigators completed two trials on each subject using one Futrex 5000A unit. The fourth investigator completed one trial on the remaining 3 units. Analysis of intratester and intertester % BF determinations revealed negligible mean differences (< 0.6%), and high ICC (≥ 0.95). Interunit analysis for %BF predictions also revealed very high ICC (0.99). The ANOVA and Bonferonni follow‐up tests revealed a small (< 0.4 %BF) but statistically significant difference for one 5000A unit when compared to the other units. Similarly high correlations were found for OD measurements completed between units and within two of the three testers. This study demonstrated excellent reliability for %BF and OD measurements. Although some mean differences did achieve statistical significance, the magnitude of these differences were well within the accepted error range for indirect determinations of body composition. Based on the excellent reliability, this non‐invasive technique is attractive for routine clinical assessment. Further work is necessary to evaluate the validity of this device.
Metabolic pathway monitoring of phenalinolactone biosynthesis from Streptomyces sp. Tü6071 by liquid chromatography/mass spectrometry coupling.

RATIONALE A rapid and precise analytical method for the investigation of natural products is required for pathway monitoring of the biosynthesis of secondary metabolites. Phenalinolactones, used in antibiotic research, are produced by Streptomyces sp. Tü6071. For the analysis of those compounds, prior to mass spectrometric analysis, an efficient separation technique is required. METHODS For the identification of phenalinolactones from liquid cultures of Streptomyces sp. Tü6071, a new method comprising the combination of solid-phase extraction (SPE) prior to liquid chromatography/electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) was established. MS/MS product ion scans were applied for phenalinolactone detection and structure elucidation, performed in negative mode and optimized for sensitivity and specificity. For the discovery of new intermediates, a MS/MS precursor ion scan was applied. RESULTS Analysis of the extracts revealed that the Oasis® MAX cartridge, containing a quaternary amine functionality, is the most efficient SPE material for purification of phenalinolactones, since it allowed sufficient enrichment and detection of intermediates from the biosynthetic pathway by LC/ESI-MS/MS. Using the precursor ion scan technique, two new secondary metabolites, PL IM1 with m/z 672.6 and PL IM2 with m/z 433.3, have been detected. The structures of the new intermediates are postulated and arranged into the biosynthetic pathway of phenalinolactones. CONCLUSIONS A precise analytical method was established for the identification of phenalinolactones by combining purification from Streptomyces using SPE prior to LC/ESI-MS/MS. By optimising LC/ESI-MS/MS settings, this method has been successfully applied for pathway monitoring of secondary metabolites. Application of a precursor ion scan allowed for the identification of unknown intermediates in biosynthetic pathways.
Scene Video Text Tracking With Graph Matching

Video has become one of the dominant data resources with the development of the Internet. As a result, the structured sorting of videos, which can be used for storage and extraction, represents a growing concern in the community. In particular, the text within videos can carry rich semantic information, leading to many novel studies wherein text tracking and recognition are performed. One essential step in text tracking involves template matching. In general, the adjacent matrices are modeled to represent the extracted tracking object features. Then, often, the Hungarian algorithm is applied to find the correspondence pairs between consecutive frames. In many works, text features are extracted based on morphological features such as color histograms and aspect ratios. However, under those features, similar text objects are not sufficiently distinguishable to make a distinction between them. To address this issue, we regard the template matching task as a graph matching problem. The main novelty involves a graph matching approach that utilizes the relationship between two trajectories or two objects, whereby a graph matching solver can be readily used in our tracking system. By utilizing the content information, the mismatch between the same object among different frames is effectively reduced. The experimental results demonstrate that the tracker with the graph matching method tends to increase the valid correspondence of trajectories and candidate objects.
Real-time object detection towards high power efficiency

In recent years, Convolutional Neural Network (CNN) has been widely applied in computer vision tasks and has achieved significant improvement in image object detection. The CNN methods consume more computation as well as storage, so GPU is introduced for real-time object detection. However, due to the high power consumption of GPU, it is difficult to adopt GPU in mobile applications like automatic driving. The previous work proposes some optimizing techniques to lower the power consumption of object detection on mobile GPU or FPGA. In the first Low-Power Image Recognition Challenge (LPIRC), our system achieved the best result with mAP/Energy on mobile GPU platforms. We further research the acceleration of detection algorithms and implement two more systems for real-time detection on FPGA with higher energy efficiency. In this paper, we will introduce the object detection algorithms and summarize the optimizing techniques in three of our previous energy efficient detection systems on different hardware platforms for object detection.
Cause and Mechanisms of Intracranial Atherosclerosis

Intracranial atherosclerosis, one of the leading causes of ischemic stroke, is associated with an increased risk for recurrent stroke and dementia.1,2 Individuals of Asian, Hispanic, and African American ancestry are especially affected. Recent European studies revealed a much higher prevalence of intracranial lesions than commonly presumed, suggesting that intracranial atherosclerotic disease is potentially the most common cause of ischemic stroke worldwide.1,3 Ischemic strokes are clinically categorized into 5 subtypes based on their underlying cause: large-artery atherosclerotic stenosis, small-artery disease (lacunes), cryptogenic, major-risk-source cardiogenic embolism, and unusual (eg, dissections, arteritis). Most nonlacunar ischemic strokes are thought to be thromboembolic, which presumably also accounts for most cryptogenic strokes. Embolic sources include minor-risk or covert cardiac sources, veins via paradoxical embolism, and nonocclusive atherosclerotic plaques in the aortic arch or cervical or cerebral arteries.4 Besides embolic strokes, 2 other mechanisms have been associated with intracranial atherosclerosis-related strokes, namely hypoperfusion through a stenotic artery causing watershed or border-zone stroke and plaque overgrowth of perforator artery ostia, which is associated with penetrating artery disease and lacunar infarcts and has been related to cryptogenic strokes.5–7 Even mild stenosis of intracranial atherosclerotic arteries (<50%) may therefore be clinically relevant, and high-resolution magnetic resonance imaging studies are needed to identify and determine the degree and location of stenosis in this patient group.5,8 The possibly causal role of nonstenotic plaques in ischemic stroke highlights the need for more insight into the mechanisms and occurrence of intracranial atherosclerosis. In the 1960s and 1970s, large, descriptive autopsy studies were conducted, providing classic morphological features of intracranial arteries. Despite the importance of intracranial atherosclerosis to stroke and dementia, there is a lack of more recent mechanistic studies. Therefore, we intend to draw attention to this neglected research field by …
Modeling the Spread of Influence on the Blogosphere

Blogs have become a means by which new ideas and information spreads rapidly on the web. They often discuss the latest trends and echo with reactions on different events in the world. The collective wisdom present on the blogosphere is invaluable for market researchers and companies launching new products. In this paper, we validate the effectiveness of some of the influence models on the blogosphere. We validate the robustness of different heuristics in presence of splogs or spam blogs on the web. Experiments also show how PageRank based heuristics could be used to select an influential set of bloggers such that we could maximize the spread of information on the blogosphere.
Double-stator PM-assisted modular variable reluctance motor for EV applications

Variable reluctance machines (VRMs) have been proved to be a promising candidate for electric vehicle (EV) applications. This paper presents a novel double-stator, 12/14/12 pole, three-phase PM-assisted modular-stator variable reluctance machine for EV applications. The flux lines are plotted for the aligned and unaligned positions for a single-phase excitation. In order to prove the superiority of the proposed structure, the static torque characteristics and dynamic performance of this novel machine are compared with two other VR machines with the same dimensions and parameters. Then, the normal dynamic performance of the proposed model with single pulse control (SPC) for two operational speeds is obtained. In addition, the cogging torque curve of the machine is derived. The simulation results show that the proposed structure has a higher average torque in comparison with two other machines in the same operational speeds with a negligible cogging torque.