Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomic Computing – a method for automated systems management Systems management using distributed local control

Autonomic Computing is a long-term IBM initiative aiming for a unification of research on areas related to computer system self-management. Methods of automated systems management have been studied at SICS (the Swedish Institute of Computer Science), mostly from the decision method perspective. The idea is to unify the handling of system management issues such that system complexity decreases and system autonomy increases. In this thesis we study a control method for making automated distributed management decisions. We also study the consequences of externalised management on services and the system architecture. A simulation experiment is performed to evaluate the suggested control method. We assume a distributed, dynamic and unreliable environment. The automated manager’s goal is to compensate for service disturbance caused by the environment. The automated manager needs 1) a system view classifying the current system state based on local knowledge, 2) a learner providing an optimal decision policy, and 3) an adaptive service architecture with abilities to compensate disturbances. As result, we have found that one of the greatest challenges to automated systems management is the creation of an architecture allowing adaptation and configuration of services. The more issues managed externally, the more constraints on the internal structure of services. Autonomic Computing – en metod för automatisk systemhantering Systemhantering genom distribuerad lokal kontroll Sammanfattning Autonomic Computing är ett långsiktigt initiativ från IBM som syftar till att förena forskning inom området för självhanterande datasystem. Metoder för självhantering har studerats på SICS (the Swedish Institute of Computer Science), i huvudsak avseende beslutsmetoder. Tanken är att förena hanteringen av systemhanteringsfrågor så att systemets komplexitet minskar och autonomin ökar. I denna rapport studeras en kontrollmetod för automatiska distribuerade hanteringsbeslut. Vi studerar också konsekvensen av extern hantering för tjänster och systemarkitektur. Ett simuleringsexperiment genomförs för att utvärdera den föreslagna kontrollmetoden. Vi antar att systemmiljön är distribuerad, föränderlig och opålitlig. Den automatiska systemhanterarens mål är att kompensera för störningar i tjänsten som orsakas av förändringar i systemmiljön. Systemhanteraren behöver 1) en vy av systemet som klassificerar systemets tillstånd baserat på lokal kunskap, 2) en inlärningstjänst som tillhandahåller en optimal beslutspolicy, och 3) en adaptiv tjänstearkitektur med egenskaper för att kompensera störningarna. Som resultat har vi funnit att en av de största utmaningarna för automatisk systemhantering är skapandet av en arkitektur som möjliggör anpassning och konfigurering av tjänster. Desto fler egenskaper som hanteras externt, desto fler begränsningar krävs på tjänsternas interna struktur.
Complete Nucleotide Sequence of Klebsiella pneumoniae Bacteriophage vB_KpnM_KpV477

ABSTRACT The double-stranded DNA (dsDNA) bacteriophage vB_KpnM_KpV477, with a broad spectrum of lytic activity against Klebsiella pneumoniae, including strains of capsular serotypes K1, K2, and K57, was isolated from a clinical sample. The phage genome comprises 168,272 bp, with a G+C content of 39.3%, and it contains 275 putative coding sequences (CDSs) and 17 tRNAs.
Investigating Network Optimization Approaches in Wireless Sensor Networks

More and more wireless mobile sensor networks are employed by robotics to perform harsh tasks such as disaster rescue, emission sources localization or hazardous contaminants localization. There are a lot of network optimization problems to be solved in the protocol design of wireless mobile sensor networks (WMSN), such as rate control, flow control, congestion control, medium access control, queue management, power control and topology control etc. These issues involve several layers of the network protocol stack so that it's quite difficult to consider every single optimization problem of them in a holistic view. The majority of contemporary research works mainly deal with one or some of them in terms of certain applications or objectives. However, most of the proposed protocols are based on simulations or experiments which lack of sufficient mathematical or theoretical analysis to fully understand the convergence or stability. In order to study the theoretical basis of network algorithms, this paper briefly outlines the current methodologies exploited to design and optimize the performance of sensor networks. In addition, the paper investigates the theoretical aspects to make sense of the network optimization algorithms and give a survey mainly in terms of convex optimization, game theory and artificial intelligence
Web Scaling Frameworks for Web Services in the Cloud

Nowadays, web services have to accommodate a significant and ever-increasing number of requests due to high interactivity of current applications. Although the built-in elasticity offered by a cloud can mitigate this challenge, it is highly desirable that applications can be built in a scalable fashion. State-of-the-art Web Application Frameworks (WAFs) focus on the creation of application logic and do not offer integrated cloud scaling concepts. As the creation of such scaling systems is very complex, we proposed in our recent work the concept of Web Scaling Frameworks (WSFs) in order to offload scaling to another layer of abstraction. In this work, a detailed design for WSFs including necessary modules, interfaces and components is presented. A mathematical model used for performance rating is evaluated and enhanced on a computing cluster of 42 machines. Traffic traces from over 25 million real-world applications are analysed and evaluated on the cluster to compare the WSF performance with a traditional scaling approach. The results show that the application of WSFs can substantially reduce the number of total machines needed for three representative real-world applications-a social network, a trip planner and the FIFA World Cup 98 website-by 32, 63 and 92 percent, respectively.
Exploring the relationship between self- efficacy and coping amongst undergraduate students

This study investigates the relationship between self-efficacy and coping amongst first year sport studies students. The aims of the study are threefold. Firstly, to explore the relationship between self-efficacy and coping among first year undergraduate Sport students. Second, to investigate the influence of an intervention strategy to enhance coping skills, and thus raise self-efficacy. Thirdly, to investigate the extent to which academic self-efficacy and coping skills are associated with reduced dropout. The overarching objective is to encourage students to use effective coping strategies that bring about increased self-confidence to deliver the skills required to pass the year. Previous research has identified a link between the use of active coping strategies and self-confidence (Devonport, Lane, Milton, & Williams, 2003). Therefore, it is proposed that as students develop their use of active coping strategies (such as seeking advice and time management), there will be a resultant increase in academic self-efficacy. In order to complete an undergraduate degree a student must cope with many challenges and stressors. The learning experience of students could be enhanced by understanding the ways in which they appraise and cope with academic stressors (Dalaviras, 2001). Cognitive appraisal has been defined as ‘a process through which the person evaluates whether a particular encounter with the environment is relevant to his or her well being, and if so, in what ways’ (Folkman, Lazarus, Dunkel-Schetter, DeLongis, & Gruen, 1986, p 992). Lazarus and Folkman (1984) proposed that the cognitive appraisal of a stressor involves primary appraisal in which an individual determines the implications of a stressor for well-being, and secondary appraisal in which the capacity for minimising harm or maximising gains are considered. This involves an evaluation of coping options. Coping concerns the way in which an individual manages or regulates a person-environment or an inter-personal interaction. Recently, Devonport et al. (2003) found that active-coping efforts were associated with higher self-efficacy scores and good dissertation grades. Self-efficacy reflects a person’s realistic expectations and degree of certainty about the ability to achieve success (Anshel et al., 2001). The finding that active coping and self-efficacy appear to be predictive of each other is important because efficacy expectations are proposed to influence task selection and the effort expended in task completion. The implication of this may be that academics should encourage the appropriate selection of coping options. Doing so may enhance selfefficacy and consequently academic performance, which in turn could reduce dropout rates.
Maintains the Distribution of Synaptic and Vesicle Proteins in the Nerve Terminal and Indirectly Regulates the Efficacy of Ca 2-Triggered Exocytosis

Bao, Hong, Richard W. Daniels, Gregory T. Macleod, Milton P. Charlton, Harold L. Atwood, and Bing Zhang. AP180 maintains the distribution of synaptic and vesicle proteins in the nerve terminal and indirectly regulates the efficacy of Ca -triggered exocytosis. J Neurophysiol 94: 1888–1903, 2005. First published May 11, 2005; doi:10.1152/jn.00080. 2005. AP180 plays an important role in clathrin-mediated endocytosis of synaptic vesicles (SVs) and has also been implicated in retrieving SV proteins. In Drosophila, deletion of its homologue, Like-AP180 (LAP), has been shown to increase the size of SVs but decrease the number of SVs and transmitter release. However, it remains elusive whether a reduction in the total vesicle pool directly affects transmitter release. Further, it is unknown whether the lap mutation also affects vesicle protein retrieval and synaptic protein localization and, if so, how it might affect exocytosis. Using a combination of electrophysiology, optical imaging, electron microscopy, and immunocytochemistry, we have further characterized the lap mutant and hereby show that LAP plays additional roles in maintaining both normal synaptic transmission and protein distribution at synapses. While increasing the rate of spontaneous vesicle fusion, the lap mutation dramatically reduces impulse-evoked transmitter release at steps downstream of calcium entry and vesicle docking. Notably, lap mutations disrupt calcium coupling to exocytosis and reduce calcium cooperativity. These results suggest a primary defect in calcium sensors on the vesicles or on the release machinery. Consistent with this hypothesis, three vesicle proteins critical for calcium-mediated exocytosis, synaptotagmin I, cysteinestring protein, and neuronal synaptobrevin, are all mislocalized to the extrasynaptic axonal regions along with Dap160, an active zone marker (nc82), and glutamate receptors in the mutant. These results suggest that AP180 is required for either recycling vesicle proteins and/or maintaining the distribution of both vesicle and synaptic proteins in the nerve terminal.
Fine-mapping identi fi es two additional breast cancer susceptibility loci at 9 q 31 . 2

We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88–0.92]; P-value = 1.58 × 10). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08–1.17]; P-value = 7.89 × 10) and rs13294895 (OR = 1.09 [1.06–1.12]; P-value = 2.97 × 10). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06–1.18]; P-value = 2.77 × 10). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.
Ultra wide-band trajectory following for an omnidirectional factory automation vehicle

In this paper, an ultra wide-band (UWB) localization system is presented that is used in conjunction with on-board odometry sensors to precisely guide an autonomous factory vehicle along a specified path. A precise UWB-based system has many advantages over conventional automated path following technologies, but the most significant advantage is its reconfigurability. Paths are specified in software, and changing the path does not require any changes in factory infrastructure. Simulation and real-time experimental results demonstrate that by combining localization estimates with odometry data, it is feasible to achieve a very capable path following system in a practical factory environment.
The Comparison of Oprah Shows from the Theory of Conversational Styles and Preference Structure

This paper intends to compare the conversational styles and the preference structure between Oprah shows in FRIENDS which is in a group guest and J.K. Rowling in a single guest. The data were taken from two different videos of Oprah transcribed and analysed. In FRIENDS edition, the conversational style is high considerateness style and in J.K. Rowling edition is high involvement style. The conversation in FRIENDS edition is relatively slower than in J.K. Rowling edition. Oprah as the host uses high involvement style in both editions. In FRIENDS edition, the first part of pairs that mostly occurs is question which the second part is expected answer, while J.K. Rowling is assessment which the second part is agreement. It means that they prefer using positive response rather than negative response.
Effect of periodontal therapy with systemic antimicrobials on parameters of metabolic syndrome: A randomized clinical trial

Abstract Aim To investigate the effect of basic periodontal therapy (BPT) with antimicrobials (AM) on the parameters of metabolic syndrome (MetS) (waist circumference, systolic/diastolic blood pressure [BP], HDL‐cholesterol, triglycerides, glucose). Methods One hundred and ten periodontitis patients without known comorbidities and unaware of possible MetS were randomly assigned to BPT (n = 56) or BPT+AM (n = 54) and followed for 12 months post‐therapy. Number of patients with undiagnosed MetS was also determined. Results In all patients, the periodontal condition improved; however, the BTP+AM group showed greater pocket depth reduction than the BPT group. Post‐therapy, systolic BP (p < .05) and triglycerides (p < .05) reduced significantly during the follow‐up period. No significant differences could be assessed between the BPT+AM and BPT group. Despite the absence of self‐reported comorbidities, 27.2% (n = 30) periodontitis patients fulfilled the criteria of MetS at baseline. After therapy, this proportion changed to 14.5% at 3 months (p = .007), to 17.3% at 6 months (p = .017) and to 21.8% at 12‐month follow‐up (p = .383). Conclusion Although a reduction in systolic BP and triglycerides and a temporarily improvement in the whole metabolic status were observed, the use of antimicrobials in conjunction with BTP does not yield any additional improvement in the parameters of MetS.
Recognition model based on residual networks for cursive Hanja recognition

With the development of algorithms and computer skills, deep learning using CNN (convolutional neural network) has been applied to various fields, especially in image processing field. In this paper, we designed an improved model based on ResNet with CNN structure, and learned the database. The Chaucer Database used in the experiment consisted of 824 Chinese characters among the Chinese characters registered in the Dictionary of Old Document Type Usage Dictionary of the Korean Studies Data Portal and total of 240,000 data. The experiment used 10-fold cross-validation. The ResNet-based percussive network used in the experiments showed an average of 94.7% top-1 accuracy in the post hoc classification test.
Syntax score: The fallacies and remedies—A perspective

The syntax score devised as a tool to grade complexity of coronary artery disease with a view to its suitability for PCI or otherwise on deeper introspection is fraught with some inherent limitations and fallacies largely as a result of the variability in coronary anatomy and the fixed nomenclature of the devised scoring system. We, in this special report, bring out the limitations and fallacies in the same and possible remedies presented as a viewpoint which may be useful to the interventional community at large.
Aalborg Universitet Analysis on the Behavior of Undamped and Unstable High Frequency Resonance in DFIG System

As the wind power generation develops, the Doubly Fed Induction Generator (DFIG) based wind power system may suffer Sub Synchronous Resonance (SSR) and High Frequency Resonance (HFR) in the series and parallel compensated weak network. The principle and frequency of HFR have been discussed using the Bode diagram as an analysis tool. However, the HFR can be categorized into two different types: undamped HFR (which exists in steady state) and unstable HFR (which eventually results in complete instability and divergence), both of them are not investigated before. Since both the undamped HFR and unstable HFR are critical to the output wind power quality as well as the safe and reliable operation of the DFIG system, it is meaningful to discuss them using the Nyquist Criterion from two perspectives, 1) determining either the undamped HFR or the unstable HFR happens; 2) estimating the amplitude of the undamped HFR. The influence factors, including the weak network shunt capacitance, the current PI controller parameters are discussed when estimating the amplitude of the undamped HFR. The experimental and simulation results of a 7.5 kW down-scaled DFIG setup are provided to validate the analysis on the undamped HFR and unstable HFR. Index Terms — DFIG system impedance modeling; high frequency resonance (HFR); Nyquist Criterion; undamped HFR; unstable HFR.
Relaxation of the non-photochemical chlorophyll fluorescence quenching in diatoms: kinetics, components and mechanisms

Diatoms are especially important microorganisms because they constitute the larger group of microalgae. To survive the constant variations of the light environment, diatoms have developed mechanisms aiming at the dissipation of excess energy, such as the xanthophyll cycle and the non-photochemical chlorophyll (Chl) fluorescence quenching. This contribution is dedicated to the relaxation of the latter process when the adverse conditions cease. An original nonlinear regression analysis of the relaxation of non-photochemical Chl fluorescence quenching, qN, in diatoms is presented. It was used to obtain experimental evidence for the existence of three time-resolved components in the diatom Phaeodactylum tricornutum: qNf, qNi and qNs. qNf (s time-scale) and qNs (h time-scale) are exponential in shape. By contrast, qNi (min time-scale) is of sigmoidal nature and is dominant among the three components. The application of metabolic inhibitors (dithiothreitol, ammonium chloride, cadmium and diphenyleneiodonium chloride) allowed the identification of the mechanisms on which each component mostly relies. qNi is linked to the relaxation of the ΔpH gradient and the reversal of the xanthophyll cycle. qNs quantifies the stage of photoinhibition caused by the high light exposure, qNf seems to reflect fast conformational changes within thylakoid membranes in the vicinity of the photosystem II complexes.
Revisiting the Continuum Hypothesis: Toward an In-Depth Exploration of Executive Functions in Korsakoff Syndrome

Korsakoff syndrome (KS) is a neurological state mostly caused by alcohol-dependence and leading to disproportionate episodic memory deficits. KS patients present more severe anterograde amnesia than Alcohol-Dependent Subjects (ADS), which led to the continuum hypothesis postulating a progressive increase in brain and cognitive damages during the evolution from ADS to KS. This hypothesis has been extensively examined for memory but is still debated for other abilities, notably executive functions (EF). EF have up to now been explored by unspecific tasks in KS, and few studies explored their interactions with memory. Exploring EF in KS by specific tasks based on current EF models could thus renew the exploration of the continuum hypothesis. This paper will propose a research program aiming at: (1) clarifying the extent of executive dysfunctions in KS by tasks focusing on specific EF subcomponents; (2) determining the differential EF deficits in ADS and KS; (3) exploring EF-memory interactions in KS with innovative tasks. At the fundamental level, this exploration will test the continuum hypothesis beyond memory. At the clinical level, it will propose new rehabilitation tools focusing on the EF specifically impaired in KS.
Keeping the band together: evidence for false boundary disruptive coloration in a butterfly

There is a recent surge of evidence supporting disruptive coloration, in which patterns break up the animal's outline through false edges or boundaries, increasing survival in animals by reducing predator detection and/or preventing recognition. Although research has demonstrated that false edges are successful for reducing predation of prey, research into the role of internal false boundaries (i.e. stripes and bands) in reducing predation remains warranted. Many animals have stripes and bands that may function disruptively. Here, we test the possible disruptive function of wing band patterning in a butterfly, Anartia fatima, using artificial paper and plasticine models in Panama. We manipulated the band so that one model type had the band shifted to the wing margin (nondisruptive treatment) and another model had a discontinuous band located on the wing margin (discontinuous edge treatment). We kept the natural wing pattern to represent the false boundary treatment. Across all treatment groups, we standardized the area of colour and used avian visual models to confirm a match between manipulated and natural wing colours. False boundary models had higher survival than either the discontinuous edge model or the nondisruptive model. There was no survival difference between the discontinuous edge model and the nondisruptive model. Our results demonstrate the importance of wing bands in reducing predation on butterflies and show that markings set in from the wing margin can reduce predation more effectively than marginal bands and discontinuous marginal patterns. This study demonstrates an adaptive benefit of having stripes and bands.