Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Deadline Based Dependent Job Scheduling algorithm in cloud computing

Cloud computing is a platform for hosting an immense number of applications and computing services that will continuously change due to a large number of jobs randomly submitted by the end user. Thus, scheduling becomes strenuous in cloud computing because of an immense number of jobs submitted randomly. The ultimate intention of the proposed work is to minimize the makespan of the job, to improve the processor utilization irrespective with the cloud environment. Hence, this paper posits a novel approach called Adaptive Deadline Based Dependent Job Scheduling (A2DJS) algorithm in cloud computing that comprises of three major components as job manager, data center and VM creation. Here, the job manager embeds with dependency resolver and task-prioritizer. The dependency resolver will determine the dependency among the tasks and task-prioritizer will prioritize the tasks to avoid starvation. Moreover, the data center embeds with job scheduler and host creation with VM allocation. The job scheduler schedules the job with the VM existing. The host creation with VM allocation allocates the jobs to the VM in a two-tier VM architecture. This contribution will mitigate the makespan of the job, evade starvation and improve the processor utilization. The results are simulated using cloudsim that shows the performance of the proposed A2DJS algorithm better when compared to the existing algorithms.
Towards an adapted MHP strategic capabilities model for moderating challenges to quality music festival management

Purpose The music festival industry is challenged by intense competition and financial exigency. As a result, many festivals have either folded or are currently struggling. Therefore, the purpose of this paper is to show that motivator-hygiene-professional (MHP) strategic capabilities (SCs) are positively associated with quality music festival management thereby providing a playbook for potentially mitigating these challenges. Design/methodology/approach The mixed methods research design comprised a case study of a leading event management company as well as nation-wide in-depth interviews and questionnaire survey. The authors initially confirmed the nature of the challenges to the industry from the case study and the in-depth interviews. The authors then developed an MHP Model of 15 SCs that were identified from the literature and the qualitative research. The relationship of the MHP SCs model to quality music festival management was tested in the questionnaire survey. Findings The respondents suggested that all the SCs were related to quality music festival management. However, Professional SCs were considered comparatively less important than motivator and hygiene SCs. Across all three groups, interviewees highlighted the significance of artists, site and operational planning, financial and stakeholder management and ticket pricing. In addition, careful planning, delegation and quality focus, problem solving, resolve and flexibility, leadership and vision, communication and innovation were considered conducive to the quality management of music festival organisations. Practical implications The MHP SCs model and dimensions of quality management offer music festival event managers a detailed practical playbook for moderating challenges to music festival management. In essence the authors provide the specific drivers that festival managers should best focus their attention upon. Visionary leadership, artist differentiation, innovation, customer service and flexible management have priority. Originality/value The findings add to the festival management literature by demonstrating the importance of motivator, hygiene and additional professional SCs for moderating challenges to the music festival industry. To the best of authors’ knowledge, no previous studies have directly investigated specific SCs critical for quality event and festival management. In particular, the academic significance of this paper is that the authors have combined Herzberg’s motivator and hygiene factors with SCs, which are in essence success drivers, to create a novel holistic MHP SCs model for quality music festival management. Further explanatory insight is gained by the addition of a third factor of professional SCs.
Modeling for Synthetic Fingerprint Generation

The development of biometric recognition technologies often requires large sets of biometric data for training and evaluation purposes. The use of synthetically generated biometric samples has been explored as a means of avoiding the challenges of large scale data collection. Our paper builds on previous work in synthetic fingerprint generation research through the modeling and synthesis of texture characteristics for synthetic fingerprint generation. The proposed texture characterizing features can be modeled from real fingerprint images to generate synthetic fingerprint texture statistically representative of a particular real fingerprint database. The texture characterizing features include ridge intensity along the ridge center-lines with seven frequency components, ridge width, ridge cross-sectional slope, ridge noise, and valley noise. A comparison of these feature densities from real and synthetic fingerprints is shown, which demonstrates the effectiveness of this method of modeling and generating synthetic fingerprint textures.
Contextual Congruency Effect in Natural Scene Categorization: Different Strategies in Humans and Monkeys (Macaca mulatta)

Rapid visual categorization is a crucial ability for survival of many animal species, including monkeys and humans. In real conditions, objects (either animate or inanimate) are never isolated but embedded in a complex background made of multiple elements. It has been shown in humans and monkeys that the contextual background can either enhance or impair object categorization, depending on context/object congruency (for example, an animal in a natural vs. man-made environment). Moreover, a scene is not only a collection of objects; it also has global physical features (i.e phase and amplitude of Fourier spatial frequencies) which help define its gist. In our experiment, we aimed to explore and compare the contribution of the amplitude spectrum of scenes in the context-object congruency effect in monkeys and humans. We designed a rapid visual categorization task, Animal versus Non-Animal, using as contexts both real scenes photographs and noisy backgrounds built from the amplitude spectrum of real scenes but with randomized phase spectrum. We showed that even if the contextual congruency effect was comparable in both species when the context was a real scene, it differed when the foreground object was surrounded by a noisy background: in monkeys we found a similar congruency effect in both conditions, but in humans the congruency effect was absent (or even reversed) when the context was a noisy background.
Enhancing Facial Action Recognition Using Multikernel- Review

Multi-media technology especially image processing is going through a rapid development, the requirement to study how human beings reflect to environments. In effective computing, facial expression extraction and synthesis has become an important technological and research issue. Emotion extraction systems have been proposed to extract emotions from a human face. These systems play an important and effective role in Human-Computer Interaction and also find their applications in customer services, game and entertainment industries, security systems, animations, etc. This paper emotion extraction is proposes using three different approach. we get more accurate recognition rates and to achieve higher performance. The idea behind this paper is to extract emotions from eyes and lips along with the classification of different facial expressions into one of the five basic human emotions, viz. Smile, Angry, Sad, Neutral and Surprise. Keywords—Emotion Extraction, Facial Action, LGBP, AAM, Feature Extraction , Binary image.
Dyadic effects of gratitude on burden, conflict, and contribution in the family caregiver and sibling relationship

ABSTRACT Family caregivers are a quickly growing population in American society and are potentially vulnerable to a number of risks to well-being. High stress and little support can combine to cause difficulties in health and personal relationships. Siblings are, however, a possible source of protection for the at-risk caregiver. This study examines the relationships between caregiver burden, relational conflict, individual contribution, and gratitude exchange between caregivers and their siblings as they attend to the issue of caring for aging parents. Dyadic data were collected through an online survey and were analyzed using a series of actor–partner interdependence models. Dimensions of gratitude related to reduced caregiver burden, improved care-related conflict, and promotion of greater contribution to caregiving.
Corticosteroid Treatment Ameliorates Acute Lung Injury Induced by 2009 Swine Origin Influenza A (H1N1) Virus in Mice

Background The 2009 influenza pandemic affected people in almost all countries in the world, especially in younger age groups. During this time, the debate over whether to use corticosteroid treatment in severe influenza H1N1 infections patients resurfaced and was disputed by clinicians. There is an urgent need for a susceptible animal model of 2009 H1N1 infection that can be used to evaluate the pathogenesis and the therapeutic effect of corticosteroid treatment during infection. Methodology/Principal Findings We intranasally inoculated two groups of C57BL/6 and BALB/c mice (using 4- or 6-to 8-week-old mice) to compare the pathogenesis of several different H1N1 strains in mice of different ages. Based on the results, a very susceptible 4-week-old C57BL/6 mouse model of Beijing 501 strain of 2009 H1N1 virus infection was established, showing significantly elevated lung edema and cytokine levels compared to controls. Using our established animal model, the cytokine production profile and lung histology were assessed at different times post-infection, revealing increased lung lesions in a time-dependent manner. In additional,the mice were also treated with dexamethasone, which significantly improved survival rate and lung lesions in infected mice compared to those in control mice. Our data showed that corticosteroid treatment ameliorated acute lung injury induced by the 2009 A/H1N1 virus in mice and suggested that corticosteroids are valid drugs for treating 2009 A/H1N1 infection. Conclusions/Significance Using the established, very susceptible 2009 Pandemic Influenza A (H1N1) mouse model, our studies indicate that corticosteroids are a potential therapeutic remedy that may address the increasing concerns over future 2009 A/H1N1pandemics.
Simulations of aerosol-cloud-dynamical feedbacks resulting from entrainment of aerosol into the marine boundary layer during the Atlantic Stratocumulus Transition Experiment

dynamics, and radiative properties. The initial CCN concentration is 100 cm � 3 in one simulation, while in the second simulation it varies from 100 cm � 3 below the cloud top to a peak of 1200 cm � 3 at the inversion. In the clean case, cooling from evaporating drizzle destabilizes the layer just below cloud base (not the entire subcloud layer) with respect to the surface, and promotes stronger penetrating cumulus. In the case with the elevated pollution layer, reduced drizzle at the cloud base results in weaker penetrating cumulus and a less effective supply of surface moisture to the cloud. This results in a much lower liquid water path (LWP) relative to the clean case that offsets the cloud albedo enhancement due to higher drop concentrations. Thus, although entrained CCN enhance the droplet concentration, the net effect on the cloud albedo is small. Additional simulations were performed to study the sensitivity of the MBL to varying levels of largescale subsidence. The change in large-scale subsidence has a large effect on boundary layer dynamics, cloud microphysics, and the radiative budget. The simulations are used to separate the effects of enhanced albedo due to enhanced drop concentrations at constant LWP and those where LWP is modified due to dynamical feedbacks. For this case study, weaker subsidence results in a cloud with higher LWP and a cloud albedo that is enhanced over and above that due to enhanced droplet concentration. The simulations point to the complex dynamical-microphysical-radiative feedbacks in the MBL and how elevated polluted layers can change cloud radiative forcing in ways that would not be easily predicted by large-scale models. INDEX TERMS: 0305 Atmospheric Composition and Structure: Aerosols and particles (0345, 4801); 0320 Atmospheric Composition and Structure: Cloud physics and chemistry; 3307 Meteorology and Atmospheric Dynamics: Boundary layer processes; 3337 Meteorology and Atmospheric Dynamics: Numerical modeling and data assimilation; KEYWORDS: aerosol-cloud-dynamic feedbacks, entrainment, ASTEX, marine boundary layer, LES Citation: Jiang, H. , G. Feingold, and W. R. Cotton, Simulations of aerosol-cloud-dynamical feedbacks resulting from entrainment of aerosol into the marine boundary layer during the Atlantic Stratocumulus Transition Experiment, J. Geophys. Res., 107(D24), 4813, doi:10.1029/2001JD001502, 2002.
Sound wave propagation in strongly elongated fermion clouds at finite collisionality

We evaluate the transition from zero-sound to first-sound behaviour with increasing collisionality in the propagation of density waves through an ultracold gaseous mixture of fermionic atoms in the normal state confined inside a cigar-shaped harmonic trap. We study for this purpose the evolution of the one-body distribution functions associated with a density perturbation generated in the central region of the cloud, as obtained by numerical solution of the Vlasov–Landau equations. We examine a variety of trap anisotropies and of repulsive or attractive interaction strengths between the components of the mixture. The speed of propagation of the density disturbance is found to decrease in both cases as the magnitude of the coupling strength is increased. The results are compared with the values of the speed of zero sound and of first sound, as obtained analytically from the limit of vanishing collisionality and from linearized hydrodynamics. The main effects of the quasi-one-dimensional confinement are the stabilization of zero-sound excitations in the attractive regime before collapse and the lowering of the hydrodynamic sound velocity by a factor relative to three-dimensional behaviour.
Quantifying Substrate Uptake by Individual Cells of Marine Bacterioplankton by Catalyzed Reporter Deposition Fluorescence In Situ Hybridization Combined with Microautoradiography

ABSTRACT Catalyzed reporter deposition fluorescence in situ hybridization combined with microautoradiography (MICRO-CARD-FISH) is increasingly being used to obtain qualitative information on substrate uptake by individual members of specific prokaryotic communities. Here we evaluated the potential for using this approach quantitatively by relating the measured silver grain area around cells taking up 3H-labeled leucine to bulk leucine uptake measurements. The increase in the silver grain area over time around leucine-assimilating cells of coastal bacterial assemblages was linear during 4 to 6 h of incubation. By establishing standardized conditions for specific activity levels and concomitantly performing uptake measurements with the bulk community, MICRO-CARD-FISH can be used quantitatively to determine uptake rates on a single-cell level. Therefore, this approach allows comparisons of single-cell activities for bacterial communities obtained from different sites or growing under different ecological conditions.
Harmonic analysis with probabilistic graphical models

A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, dominant, etc. The analysis is performed with a hidden Markov model and, as such, is automatically trainable from generic MIDI files and capable of finding the globally optimal harmonic labeling. Experiments are presented highlighting our current state of the art. An extension to a more complex probabilistic graphical model is outlined in which music is modeled as a collection of voices that evolve independently given the harmonic progression.
35nm InP HEMT LNAs at E/W-Band Frequencies

This paper presents the design and performance of two millimeter-wave LNAs using 35nm InP HEMT device technology. First, a single-ended 3-stage LNA, operating over the 81-86 GHz band, is reported with a noise figure (NF) of 1.6-1.9 dB and a gain of 28 ±1 dB. This is the lowest reported noise figure for LNAs at this frequency. Secondly, a balanced LNA, operating over the 56- 110 GHz band, is reported with a NF of typically 2.7 dB and a gain of greater than 20 dB. This amplifier represents an unprecedented combination of low noise, good input/output match, and broad bandwidth.
A methodology for knowledge acquisition from the web

Accessing up-to-date information in a fast and easy way implies the necessity of information management tools to explore and analyse the huge number of available electronic resources. The Web offers a large amount of valuable information for every possible domain, but its human-oriented representation and its size makes difficult and extremely time consuming any kind of centralised computer-based processing. In this paper, a combination of distributed AI and knowledge acquisition techniques is proposed to tackle this problem. In particular, we have designed an incremental and domain independent learning methodology modelled over a multi-agent system that crawls the Web composing knowledge structures (ontologies) from the interrelation of several automatically obtained taxonomies of terms according to the user’s interests. Moreover, the obtained ontologies are used to represent, in a structured way, the currently available web resources for the corresponding domain. The paper also presents examples of the potential results over medical and technological domains and compares the results, whenever it is possible, against publicly available taxonomic web search engines obtaining, in all cases, a considerable improvement.
Submillimeter water and ammonia absorption by the peculiar z ≈ 0.89 interstellar medium in the gravitational lens of the PKS 1830−211 system

Using the Atacama Pathfinder Experiment (APEX) telescope, we have detected the rotational ground-state transitions of ortho-ammonia and ortho-water toward the redshift ≈ 0.89 absorbing galaxy in the PKS 1830-211 gravitational lens system. We discuss our observations in the context of recent space-borne data obtained for these lines with the SWAS and Odin satellites toward Galactic sources. We find commonalities, but also significant differences between the interstellar media in a galaxy at intermediate redshift and in the Milky Way. Future high-quality observations of the ground-state ammonia transition in PKS 1830-211, together with inversion line data, will lead to strong constraints on the variation in the proton to electron mass ratio over the past 7.2 Gyr.
Choosing splitting parameters and summation limits in the numerical evaluation of 1‐D and 2‐D periodic Green's functions using the Ewald method

Accurate and efficient computation of periodic free‐space Green's functions using the Ewald method is considered for three cases: a 1‐D array of line sources, a 1‐D array of point sources, and a 2‐D array of point sources. A limitation on the numerical accuracy when using the “optimum” E parameter (which gives optimum asymptotic convergence) at high frequency is discussed. A “best” E parameter is then derived to overcome these limitations. This choice allows for the fastest convergence while maintaining a specific level of accuracy (loss of significant figures) in the final result. Formulas for the number of terms needed for convergence are also derived for both the spectral and the spatial series that appear in the Ewald method, and these are found to be accurate in almost all cases.
InGaAs MOSFETs for CMOS: Recent advances in process technology

InGaAs has recently emerged as the most attractive non-Si n-channel material for future nano-scale CMOS. InGaAs n-channel MOSFETs promise to advance Moore's Law by allowing continued scaling through a reduction in footprint and operating voltage without compromising performance. This paper reviews recent advances in some of the key enabling process technology of InGaAs MOSFETs. It also outlines some of the challenges that need to be overcome before this new device family can become a reality.
Personality assessment and feline–keepers relationship in lions (Panthera leo)

Animal personality is a growing research area due to the increasing evidence of the impact that it has on welfare, health and management of animals in captivity (Freeman and Gosling, 2010). Testing and improving existent methodologies, as well as develop new ones, to outline animal personality is an important step towards welfare, health and longevity of captive animals (Phillips, 2007; Whitham and Wielebnowski, 2013). Lions (Panthera leo) were chosen for this study because the species is understudied compared to other felidae species in personality matters and because it displays a vast, diverse and well known behaviour repertoire (Schaller, 1973). Behavioural observations were conducted on the seven African lions housed in ZSL Whipsnade zoo. Keeper-animal interactions were recorded and a personality questionnaire was given to the keepers in order to rate 28 personality traits (Chadwick, 2014). Sociogram, composite sociality index (CSI) and spread of participation index (SPI) were also used to assess personality traits (Stanton 2015). Data gathered in this pilot study was successfully used to produce ID like personality traits profiles for all animals, to delineate personality traits, outline the unique characteristics of each subject. A sociogram consent to access and validate the dyad solitary/social and a SPI to understand each animal enclosure usage and relate it to the trait triad affiliate/fearful/aggressive towards humans. We believe this approach is promising and could be applied to investigate keeper-animal interactions also in other species. The limitation of this study is the sample size of the animal considered; in future research we hope to test other animals in order to validate the methodologies.
Characterizing the Personality of Twitter Users based on their Timeline Information

Personality is a set of characteristics that differentiate a person from others. It can be identified by the words that people use in conversations or in publications that they do in social networks. Most existing work focuses on personality prediction analyzing English texts. In this study we analyzed publications of the Portuguese users of the social network Twitter. Taking into account the difficulties in sentiment classification that can be caused by the 140 character limit imposed on tweets, we decided to use different features and methods such as the quantity of followers, friends, locations, publication times, etc. to get a more precise picture of a personality. In this paper, we present methods by which the personality of a user can be predicted without any effort from the Twitter users. The personality can be accurately predicted through the publicly available information on Twitter profiles.