Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-Aware Profit Maximizing Scheduling Algorithm for Heterogeneous Computing Systems

With the advent of energy-aware scheduling algorithms, it is now possible to find solutions that trade-off performance for decreased energy usage. There are now efficient algorithms to find high quality Pareto fronts that can be used to select the desired balance between make span and energy consumption. One drawback of this approach is that it still requires a system administrator to select the desired operating point. In this paper, a market-oriented technique for scheduling is presented where the high performance computing system administrator is trying to maximize the return on investment. A model is developed where the users pay a given price to have a bag-of-tasks processed. The cost to the system administrator for processing this bag-of-tasks is strongly related to the energy consumption for executing these tasks. A novel algorithm is designed that efficiently finds the maximum profit resource allocation and tightly bounds the optimal solution. In addition, this algorithm has very desirable runtime and solution quality properties as the number of tasks and machines become large.
Cross-Lingual Image Search on the Web

Most people locate images on the Web by querying image search engines such as Google’s. The images are tagged by the words in their “vicinity”, which limits the ability of a searcher to retrieve them. Although images are universal, an English searcher will fail to find images tagged in Chinese, and a Spanish searcher will fail to find images tagged in English. Cross-lingual homonyms cause problems as well. For example, the Hungarian word for tooth is ‘fog’, which makes it challenging for Hungarian searchers to find images of teeth on the Web. To solve these and related problems we introduce the PANIMAGES cross-lingual image search engine.1 PANIMAGES enables searchers to translate and disambiguate their queries before sending them to Google. PANIMAGES utilizes several machine-readable dictionaries composed into a graph that records relationships between words and word senses across different languages. The graph enables PANIMAGES to infer translations by composing information garnered from multiple dictionaries. PANIMAGES can translate over 437,000 words and supports queries in 50 languages. Our experiments show that for queries in languages with a limited Web presence (ranging from Dutch or Norwegian to Lithuanian or Telugu), PANIMAGES increases the number of correct images by 75% in the first 15 pages (270 results), while increasing precision by 27%.
A retrospective analysis of intraocular pressure changes after cataract surgery with the use of prednisolone acetate 1% versus difluprednate 0.05%

Purpose To compare the effect of topical prednisolone acetate 1% (PA) used after routine cataract surgery to the effect of difluprednate 0.05% (DFBA) used for the same indication on intraocular pressure (IOP). Methods An electronic query was created to gather information from all cataract surgeries between January 2010 and January 2015 within the electronic health record database at Barnet Dulaney Perkins, a multicenter, multiphysician private practice in Phoenix, Arizona. Information collected included age, sex, diabetes status, glaucoma history, medication regimen (use of PA or DFBA), and IOP before surgery, 5–10 days postoperatively (TP1) and 3–6 weeks postoperatively (TP2). Postoperative IOP measurements were compared to baseline IOP measurement in each patient. Results Regardless of steroid used, all patients in this study experienced an increase in IOP within TP1 and returned to baseline IOP (±2.0 mmHg) by TP2. Patients who received DFBA showed a statistically significant increase in IOP at TP1 compared to those on PA (P<0.001) with the mean IOP an average 0.60 mmHg higher (95% CI =0.3, 0.9). The odds ratio of a clinically significantly increased IOP at TP1 (defined as overall IOP ≥21 mmHg and an increase of ≥10 mmHg) in DFBA-treated patients was 1.84 (95% CI =1.4, 2.6). In patients treated with PA, 3% reached a significantly increased IOP, compared to 4.4% of patients in the DFBA group (P<0.05). Risk factors for increased IOP were identified, and include advanced age (>75) (P<0.005) and a history of glaucoma (P<0.001). Conclusion In postoperative cataract patients, use of DFBA increased the risk of a clinically significant IOP increase.
MICA-129 Dimorphism and Soluble MICA Are Associated With the Progression of Multiple Myeloma

Natural killer (NK) cells are immune innate effectors playing a pivotal role in the immunosurveillance of multiple myeloma (MM) since they are able to directly recognize and kill MM cells. In this regard, among activating receptors expressed by NK cells, NKG2D represents an important receptor for the recognition of MM cells, being its ligands expressed by tumor cells, and being able to trigger NK cell cytotoxicity. The MHC class I-related molecule A (MICA) is one of the NKG2D ligands; it is encoded by highly polymorphic genes and exists as membrane-bound and soluble isoforms. Soluble MICA (sMICA) is overexpressed in the serum of MM patients, and its levels correlate with tumor progression. Interestingly, a methionine (Met) to valine (Val) substitution at position 129 of the α2 heavy chain domain classifies the MICA alleles into strong (MICA-129Met) and weak (MICA-129Val) binders to NKG2D receptor. We addressed whether the genetic polymorphisms in the MICA-129 alleles could affect MICA release during MM progression. The frequencies of Val/Val, Val/Met, and Met/Met MICA-129 genotypes in a cohort of 137 MM patients were 36, 43, and 22%, respectively. Interestingly, patients characterized by a Val/Val genotype exhibited the highest levels of sMICA in the sera. In addition, analysis of the frequencies of MICA-129 genotypes among different MM disease states revealed that Val/Val patients had a significant higher frequency of relapse. Interestingly, NKG2D was downmodulated in NK cells derived from MICA-129Met/Met MM patients. Results obtained by structural modeling analysis suggested that the Met to Val dimorphism could affect the capacity of MICA to form an optimal template for NKG2D recognition. In conclusion, our findings indicate that the MICA-129Val/Val variant is associated with significantly higher levels of sMICA and the progression of MM, strongly suggesting that the usage of soluble MICA as prognostic marker has to be definitely combined with the patient MICA genotype.
Generalised array manifold model for wireless communication channels with local scat-tering

The authors propose the use of a generalised array manifold for parameterised spatial signature estimation in wireless communication channels with local scattering. The array manifold commonly used for point sources is generalised to include linear combinations of the nominal array response vectors and their derivatives. The motivation behind this idea is to obtain better estimates of the spatial signatures for direction of arrival (DOA) based signal waveform estimation. The estimators proposed exploit the orthogonality between the so-called noise and signal subspaces, leading to a separable solution for the derivative coefficients. As a result, a search is required for the DOAs only. For uniform linear arrays, the spatial signatures are shown to be approximately Vandermonde vectors with damped modes, and a closed-form estimator such as ESPRIT may be used in this case. Simulation examples are included to compare the signal estimation performance obtained using the proposed generalised manifold and the conventional array manifold.
A New Performance Benchmark for Content-Based 3D Model Retrieval

At first, the paper introduces the most prevailing 3D model benchmark, the Princeton shape benchmark. Deficiencies emerged in the benchmark are then discussed in depth, which are concluded as: 1) models belonging to the same category are not exactly similar according to their shapes, and 2) category similarity is totally ignored. To overcome those shortcomings, the paper proposes a new model classification method, based on which a novel retrieval performance metric, GSSS (get score from similarity sequence), is designed and discussed. Experimental results have shown that GSSS is better than the precision-recall benchmark on most occasions.
Multi-task fused sparse learning for mild cognitive impairment identification

BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis. OBJECTIVE: Building a biologically meaningful brain network is a crucial work in these applications. For this task, sparse learning has been widely applied for the network construction. If multiple time-point data is added to the brain imaging application, the disease progression pattern in the longitudinal analysis can be better revealed. METHODS: A novel longitudinal analysis for MCI classification is devised based on resting-state functional magnetic resonating imaging (rs-fMRI). Specifically, this paper proposes a novel multi-task learning method to integrate fused penalty by regularization. In addition, a novel objective function is developed for fused sparse learning via smoothness constraint. RESULTS: The proposed method achieves the best classification performance with an accuracy of 95.74% for baseline and 93.64% for year 1 data. CONCLUSIONS: The experimental results show that our proposed method achieves quite promising classification performance.
Scene Integration for Online VR Advertising Clouds

This paper presents a scene composition approach that allows the combinational use of standard three dimensional objects, called models, in order to create X3D scenes. The module is an integral part of a broader design aiming to construct large scale online advertising infrastructures that rely on virtual reality technologies. The architecture addresses a number of problems regarding remote rendering for low end devices and last but not least, the provision of scene composition and integration. Since viewers do not keep information regarding individual input models or scenes, composition requires the consideration of mechanisms that add state to viewing technologies. In terms of this work we extended a well-known, open source X3D authoring tool.
Cooperative remote attestation for IoT swarms

Prior remote attestation may not be suitable to scale to the proliferation of IoT device swarms. To this end, we propose a cooperative remote attestation scheme, which validates the security state and verifies the system integrity with the cooperation of neighbor devices. The efficiency of the proposed mechanism is analyzed as a cryptographic protocol and then discussed in terms of security and scalability.
CLASSIFICATION USING A COMBINATION OF SPECTRAL , TIMBRAL , RHYTHMIC , TEMPORAL AND SYMBOLIC FEATURES

The novel approach of combining audio and symbolic features for music classification from audio enhanced previous audio-only based results in MIREX 2007. We extended the approach by including temporal audio features, enhancing the polyphonic audio to MIDI transcription system and including an extended set of symbolic features. Recent research in music genre classification hints at a glass ceiling being reached using timbral audio features.
Revision of the Early Adolescent Temperament Questionnaire

Abstract The Early Adolescent Temperament Questionnaire (EATQ; Capaldi & Rothbart, 1992) was revised and updated to better assess aspects of temperament related to selfregulation in adolescents. Scales measuring aggression and depressive mood were included to examine relationships between temperament and traits relevant to socialization.177 adolescents, aged 10-16, and 62 parent participants completed questionnaires. Analyses were conducted to determine reliability of scales. Exploratory factor analysis revealed four factors: Effortful Control, Surgency, Affiliativeness, and Negative Affect. Low Effortful Control and high Negative Affect scores were predictive of both aggression and depressive mood. However, aggression was associated with low scores on Affiliativeness, while depressive mood was associated with high levels of Affiliativeness, even when controlling for differences in gender.
Why are estimates of global isoprene emissions so similar (and why is this not so for monoterpenes)

Emissions of biogenic volatile organic compounds (BVOC) are a chief uncertainty in calculating the burdens of important atmospheric compounds like tropospheric ozone or secondary organic aerosol, reﬂecting either imperfect chemical oxidation mechanisms or unreliable emission estimates, or both. To provide a starting point for a more 5 systematic discussion we review here global isoprene and monoterpene emission estimates to-date. We note a surprisingly small variation in the predictions of global iso-prene emission rate that is in stark contrast with our lack of process understanding and the small number of observations for model parameterisation and evaluation. Most of the models are based on similar emission algorithms, using ﬁxed values for the emis-10 sion capacity of various plant functional types. In some studies these values are very similar, but they di ﬀ er substantially in others. The models di ﬀ er also broadly with regard to their representation of net primary productivity, method of biome coverage determination and climate data. Their similarities with regard to the global isoprene emission rate would suggest that the dominant parameters driving the ultimate global estimate, 15 and thus the dominant determinant of model sensitivity, are the speciﬁc emission algo-rithm and isoprene emission capacity. Contrary to isoprene, monoterpene estimates show signiﬁcantly larger model-to-model variation although variation in terms of leaf algorithm, emission capacities, the way of model upscaling, vegetation cover or cli-matology used in terpene models are comparable to those used for isoprene. From 20 our summary of published studies there appears to be no evidence that the terrestrial modelling community has been any more successful in “resolving unknowns” in the mechanisms that control global isoprene emissions, compared to global monoterpene emissions. Rather, the proliferation of common parameterization schemes within a large variety of model platforms lends the illusion of convergence towards a
On the econometrics of the Koyck model

The geometric distributed lag model, after application of the so-called Koyck transformation, is often used to establish the dynamic link between sales and advertising. This year, the Koyck model celebrates its 50th anniversary.In this paper we focus on the econometrics of this popular model,and we show that this seemingly simple model is a little more complicated than we always tend to think. First, the Koyck transformation entails a parameter restriction, which should not be overlooked for efficiency reasons. Second, the t-statistic for the parameter for direct advertising effects has a non-standard distribution. We provide solutions to these two issues. For the monthly Lydia Pinkham data, it is shown that various practical decisions lead to very different conclusions.
Ventilation with Negative Airway Pressure Induces a Cytokine Response in Isolated Mouse Lung

We tested the hypothesis that, under relatively low tidal volume (Vt) mechanical ventilation, continuing lung decruitment induced by negative end-expiratory pressure (NEEP) would increase the lung cytokine response, potentially contributing to lung injury. Mouse lungs were excised and randomly assigned to one of 3 different ventilatory strategies: 1) the zero end-expiratory pressure group served as a control, 2) the NEEP7 group received a NEEP of −7.5 cm H2O, and 3) the NEEP15 group received a NEEP of −15 cm H2O. In all 3 groups, a Vt of 7 mL/kg was used. After 2 h of ventilation, lung lavage fluid was collected for measurements of tumor necrosis factor-&agr;, monocyte chemoattractant protein-1, and lactate dehydrogenase. Increases in plateau pressure before and after mechanical ventilation were significantly greater in the NEEP15 group compared with the zero end-expiratory pressure group or NEEP7 group. Lung compliance was decreased in the NEEP15 compared with the other two groups. Concentrations of tumor necrosis factor-&agr;, monocyte chemoattractant protein-1, and lactate dehydrogenase in lung lavage were larger in the NEEP15 group than in the other groups. Atelectatic lung during repeated collapse and reopening of lung units accentuates the lung cytokine response that may contribute to lung injury even during relatively low Vt mechanical ventilation.
Effect of MRAI timers and routing policies on BGP convergence times

The Minimal Route Advertisement Interval (MRAI) plays a prominent role in convergence of the Border Gateway Protocol (BGP). Previous studies have suggested using adaptive MRAI and reusable timers to reduce the BGP convergence time. The adaptive MRAI timers perform well under the normal load of BGP updates. However, a large number of BGP updates may flood Internet routers. We propose a new algorithm, MRAI with Flexible Load Dispersing (FLD-MRAI), which reduces the router's overhead by dispersing the load in case of a large number of BGP updates. We also examine the MRAI timers under the normal load of BGP updates. Since BGP routing policies play a significant role in preserving the Internet routing stability, we evaluate their impact on BGP convergence time and Route Flap Damping (RFD) algorithms. The proposed algorithms are evaluated using the ns-BGP network simulator.
Engaging Youth through Photovoice

The photovoice process aims to use photographic images taken by persons with little money, power, or status to enhance community needs assessments, empower participants, and induce change by informing policy makers of community assets and deficits. This article describes a youth photovoice project implemented in an after-school program that attempted to adapt the photovoice method to youth participants, test the effectiveness of the method with youth, and develop and refine a curriculum for replication. A process such as photovoice provides youth the opportunity to develop their personal and social identities and can be instrumental in building social competency. Youth should and need to be given the opportunity to build and confirm their abilities, to comment on their experiences and insights, and to develop a social morality for becoming a positive agent within their communities and society. For more examples of photos taken by the youth during this project, visit http://www.jhsph. edu/youthphotovoice.
Ontology-Based Translation of Business Process Models

Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services -- i.e., the application of ontology-based modelling and reasoning to Web Services -- to Business Process Management, which is these days often realised using Service-Oriented Architectures. One important task for Semantic Business Process Management is the addition of corresponding semantic annotations to the business-oriented view on processes. Since, however, the Semantic Web approach, realised using ontologies, is not simply to represent conceptualisations in the style of a data model, but to embody relationships and inferences over such conceptualisations, an equally important task to realise Semantic Business Process Management is hence to relate business-oriented and IT/service-oriented views of processes ontologically. Previous work has shown how an ontology language rich enough to encode rules can provide a relationship between an abstract ontology for business processes and a low-level ontological representation of process behaviour providing behavioural semantics for these business processes. In this paper we show how business-oriented and execution-oriented ontological representations of business processes can similarly be related.
Single-phase power factor correction circuit with Proportional-Resonant control

This paper propose the use of “Proportional-Resonant” (PR) controllers for Power Factor Correction (PFC) circuits used in front-end converters for grid-connected applications. The performance of the PFC converter with PR control is analyzed using simulations and the advantages and disadvantages of this kind of control are discussed. The classical PI controllers and the PR controllers are evaluated on the same operating conditions, under severe distorted grid voltages.
Synchrotron-Based in Situ Characterization of the Scaffold Mass Loss from Erosion Degradation

The mass loss behavior of degradable tissue scaffolds is critical to their lifespan and other degradation-related properties including mechanical strength and mass transport characteristics. This paper presents a novel method based on synchrotron imaging to characterize the scaffold mass loss from erosion degradation in situ, or without the need of extracting scaffolds once implanted. Specifically, the surface-eroding degradation of scaffolds in a degrading medium was monitored in situ by synchrotron-based imaging; and the time-dependent geometry of scaffolds captured by images was then employed to estimate their mass loss with time, based on the mathematical model that was adopted from the literature of surface erosion with the experimentally-identified model parameters. Acceptable agreement between experimental results and model predictions was observed for scaffolds in a cylindrical shape, made from poly(lactic-co-glycolic) acid (PLGA) and polycaprolactone (PCL). This study illustrates that geometry evaluation by synchrotron-based imaging is an effective means to in situ characterize the scaffold mass loss as well as possibly other degradation-related properties.
Passenger Compartment Violation Detection in HOV/HOT Lanes

Due to the high volume of traffic on modern roadways, transportation agencies have proposed high occupancy vehicle (HOV) and high occupancy tolling (HOT) lanes to promote carpooling. Enforcement of the rules of these lanes is currently performed by roadside enforcement officers using visual observation. Officer-based enforcement is, however, known to be inefficient, costly, potentially dangerous, and ultimately ineffective. Violation rates up to 50%-80% have been reported, whereas manual enforcement rates of less than 10% are typical. Near-infrared (NIR) camera systems have been recently proposed to monitor HOV/HOT lanes and enforce the regulations. These camera systems bring an opportunity to automatically determine vehicle occupancy from captured HOV/HOT NIR images. Due to their ability to see through windshields of vehicles, these cameras also enable enforcement of other passenger compartment violations such as seatbelt violation and driver cell phone usage, in addition to determining vehicle occupancy. In this paper, we propose computer vision methods for detecting vehicle occupancy, seatbelt violation, and driver cell phone usage from NIR images captured from HOV/HOT lanes. Our methods consist of two stages. First, we localize the vehicle's front windshield and side window from captured HOV/HOT images using the deformable part model (DPM). Next, we define a region of interest in the localized images for each violation type and perform image classification using one of the local aggregation-based image features, i.e., bag-of-visual-words (BOW), vector of locally aggregated descriptors (VLAD), and Fisher vectors (FV), and compare their performances for each case. We also compare the performance of DPM-based detection with the image classification methods for vehicle occupancy and seatbelt violation detection. A data set over 4000 images including front/side view vehicle images with seatbelt and cell phone violations was collected on a public roadway and is used to perform the experiments.