Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring Software Quality Evolution by Analyzing Deviation Trends of Modularity Views

In the long-term evolution of software systems, various maintenance activities such as functionality extension, bug fixing, refactoring may positively or negatively affect the quality of design and implementation. The trend of quality degradation caused by negative affections may accumulate and cause serious difficulties for future maintenance of the software if they were not addressed properly in time. In this paper, we propose an approach for monitoring the degradation trends of software design in evolution and providing useful feedbacks for evolution decisions. The approach is based on the assumption that the deviations between different modularity views and their trends in evolution can be used to monitor the degradation trends of design. Currently, our approach considers three modularity views, namely package view, structural cluster view and semantic cluster view. Package view denotes the package structure reflecting the desired modularity view, Structural cluster view and semantic cluster view are the modularity views extracted from implementation by software clustering based on formal information and non-formal information, respectively. Then based on the three modularity views extracted from each version, our approach calculates the similarity between different views as the measurement of modularity deviations, and analyzes the deviation trends over a series of versions. We conduct an empirical study on three open-source systems, which confirms that continuous monitoring of deviation trends of modularity views can provide useful feedbacks for future evolution decisions.
Self-Repairing SRAM for Reducing Parametric Failures in Nanoscaled Memory

We present a self-repairing SRAM to reduce parametric failures using an on-chip leakage sensor and application of proper body bias. Simulations in a predictive 70nm technology show 5-40% (depending on inter-die Vt variation) improvement in SRAM yield. A test-chip is fabricated and measured in 0.13 mum CMOS to demonstrate operation of the self-repair system
Three dimensional displacement and function of the right ventricle using optical flow with tagged magnetic resonance imaging

A new technique to analyse the whole 3D motion and the local function of the right ventricle is presented. Using magnetic resonance images tagged with complementary spatial modulation of magnetization (CSPAMM), the displacement field is calculated using a 2D multi-scale optical flow algorithm applied on short-axis and radial long-axis slices. Coordinates and displacement over time of points on these orientations are computed, so that a finite element model can be built. This resulting 3D reconstruction illustrates full right ventricle motion. Ten healthy hearts have been reconstructed, and the resulting 3D view allowed visualisation of the whole systole and the beginning of the wave of diastolic release from base to apex. These results could serve as a basis for further studies on various pathologic right ventricle conditions
2016 Ieee International Conference on Big Data (big Data) Data Privacy for Iot Systems

—Data are today an asset more critical than ever for all organizations we may think of. Recent advances and trends, such as sensor systems, IoT, cloud computing, and data analytics, are making possible to pervasively, efficiently, and effectively collect data. However such pervasive data collection and the lack of security for IoT devices increase data privacy concerns. In this paper, we discuss relevant concepts and approaches for data privacy in IoT, and identify research challenges that must be addressed by comprehensive solutions to data privacy.
GeV-TeV and X-Ray Flares from Gamma-Ray Bursts

The recent detection of delayed X-ray flares during the afterglow phase of gamma-ray bursts suggests an inner engine origin, at radii inside the deceleration radius characterizing the beginning of the forward-shock afterglow emission. Given the observed temporal overlap between the flares and afterglows, there must be inverse Compton (IC) emission arising from such flare photons that are scattered by forward-shock afterglow electrons. We find that this IC emission produces GeV-TeV flares, which may be detected by GLAST and ground-based TeV telescopes. We speculate that this kind of emission may already have been detected by EGRET from a very strong burst—GRB 940217. The enhanced cooling of the forward-shock electrons by the X-ray flare photons may suppress the synchrotron emission of the afterglows during the flare period. The detection of GeV-TeV flares, combined with low-energy observations, may help to constrain the poorly known magnetic field in afterglow shocks. We also consider self-IC emission in the context of internal-shock and external-shock models for X-ray flares. The emission above GeV energies from internal shocks is low, while the external-shock model can also produce GeV-TeV flares, but with a different temporal behavior from that caused by IC scattering of flare photons by afterglow electrons. This suggests a useful approach for distinguishing whether X-ray flares originate from late central-engine activity or from external shocks.
Bag-of-Bags of Words : Irregular graph pyramids vs spatial pyramid matching for image retrieval

This paper presents a novel approach, named bag-of-bags of words (BBoW), to address the problem of Content-Based Image Retrieval (CBIR) from image databases. The proposed bag-of-bags of words model extends the classical bag-of-words (BoW) model. An image is represented as a connected graph of local features on a regular grid. Then irregular partitions (subgraphs) of images are further built via Normalized Cuts. Each subgraph in the partition is then represented by its own signature. Compared to existing me-thods for image retrieval, such as Spatial Pyramid Matching (SPM), the BBoW model does not assume that similar parts of a scene always appear at the same location in images of the same category. The extension of the proposed model to pyramid gives rise to a method we name irregular pyramid matching (IPM). The experiments demonstrate the strength of our method for image retrieval when the partitions are stable across an image category. The statistical analysis of subgraphs is discussed in the paper.
Improving Hybrid Flash-Disk Storage by Incorporating Sequential Pattern Mining into Fully-Associative Sector Translation

In this paper, we present a new way of improving hybrid flash-disk storage systems by intelligently prefetching file objects with sequential pattern mining technique. Our ultimate goal is to minimize overall file I/O processing time of hybrid storage systems with the fully associated sector translation (FAST) technique that is known to be the best mapping method in managing flash memory. The FAST assumes that the flash memory space consists of log blocks and data blocks. Since the FAST technique can effectively handle sequential accesses while highly utilizing log block space, it is very significant to further enhance the system performance of the hybrid storage when applying FAST to it. In our work, the hybrid storage uses the flash memory as a cache space. With this memory architecture, we focus on prefetching file objects onto sequential log blocks to be accessed in the near future through sequential pattern mining. Through intensive experiments using UCC data and synthetic data, we show that the proposed prefetching method contributes to improving the performance of the hybrid storage.
Cross- cultural Communication and Chinese Folk Culture

This paper aims to investigate the way for Chinese people to gain respect in cross- cultural communication and facilitate the appreciation and experience of the aesthetical spirit embedded in the splendid traditional Chinese culture. Via promoting our ethnic culture,Chinese culture can be properly developed and enriched,meanwhile,one can shape a self-personality characterized with an ethnic spirit. As has been commonly stated,Chinese culture is a sound base to win respect from foreign cultures. Therefore,folk culture plays a key role in the value system. It can directly shape an individual’s personality and influence his or her status in international exchanges,which is deeply related to the dignity of the nation or the ethnical group.
Changing a half-baked 3d navigational game

A number of research studies focus on the ways digital games can provide a rich context for students to experiment, explore and engage in meaningful formalism. These researches suggest that games can help students develop valuable skills in the transitional stage between intuitions (informal) and formal mathematics. This can be done either by playing, designing games, or reflecting on game’s rules (Kafai, 1996). In this paper we endeavour to combine these powerful approaches on learning with games, using half-baked games, an idea based on that of halfbaked microworlds (Kynigos, 2001). These are games that incorporate an interesting game idea, but they are incomplete by design. Students while playing the game reflect on rules and change them in order to create a new game of their own choice. Thus they engage both in the process of instrumentation while using the game and in the process of instrumentalisation while changing the game resulting in a variety of artefacts (Guin and Trouche, 1999). In present research study we used a half-baked game built on the Cruislet environment, a 3d digital medium that incorporates both GIS and Logo programming. It is designed for mathematically driven navigations in virtual 3d geographical spaces and thereby enables the user to explore navigation in 3d geographical space, spatial visualization and mathematical concepts embedded in a realistic context. Navigation with Cruislet is feasible by defining objects’ (airplanes) displacements, either by using an iconic interface or using Logo. The Logo editor provides opportunities to run and edit programs and thus create multiple behaviours of objects, or game rules. In this small scale research, two 17 year old students worked collaboratively and engaged in processes of playing the game, reflecting on its rules, de-coding the rule and intervening into the Logo code in order to change the game and create something of their own choice. Findings indicate that the half-baked game and the representations embedded in the Cruislet environment provided a meaningful context in which students engage in processes of mathematisation of geographical space.
Delirium in frail surgical oncology patients

Een delier is een veelvoorkomende en ernstige complicatie na een operatie bij oudere patienten. Deze acute verwardheidtoestand verhoogt het risico op complicaties en overlijden. In dit proefschrift werd aangetoond dat geheugenproblemen voorafgaand aan de operatie en de zwaarte van de operatie, het risico op het doormaken van een delier na de operatie verhogen bij kwetsbare ouderen met kanker. Om te onderzoeken hoe dit risico beperkt kan worden, werden verschillende studies vergeleken waarin enerzijds gebruik werd gemaakt van medicatie en anderzijds van verpleegkundige maatregelen (non-medicamenteus) ter voorkoming van een delier. Globaal bleken beide methodes effectief te zijn, waarbij meer effect werd gezien van interventies bij hoogrisico patienten. Een belangrijk onderdeel van dit proefschrift vormen de resultaten van de Liaison Intervention in Frail Elderly (LIFE) studie. Hierin werd begeleiding van een geriatrisch team rondom de operatie vergeleken met reguliere zorg bij kwetsbare ouderen die geopereerd werden in verband met kanker. We hebben ondervonden dat het doen van onderzoek bij kwetsbare ouderen een extra tijdsinvestering vergt, gepaard gaande met hogere personeelskosten. Bij 31 van de 260 patienten (11.9%) trad een delier op. Extra geriatrische zorg rondom de operatie bleek het aantal delieren niet te verminderen in vergelijking met reguliere zorg. Na drie maanden werd voor geen van de lange termijn uitkomsten een verschil aangetoond tussen de interventie groep en de controle groep. Een delier vergrootte het risico op functionele achteruitgang na de operatie. Mogelijk kunnen in de toekomst hoogrisicopatienten (grote operatie en/ of geheugenproblemen) wel profiteren van extra geriatrische zorg rondom de operatie.
The effects of Crocus sativus (saffron) and its constituents on nervous system: A review

Saffron or Crocus sativus L. (C. sativus) has been widely used as a medicinal plant to promote human health, especially in Asia. The main components of saffron are crocin, picrocrocin and safranal. The median lethal doses (LD50) of C. sativus are 200 mg/ml and 20.7 g/kg in vitro and in animal studies, respectively. Saffron has been suggested to be effective in the treatment of a wide range of disorders including coronary artery diseases, hypertension, stomach disorders, dysmenorrhea and learning and memory impairments. In addition, different studies have indicated that saffron has anti-inflammatory, anti-atherosclerotic, antigenotoxic and cytotoxic activities. Antitussive effects of stigmas and petals of C. sativus and its components, safranal and crocin have also been demonstrated. The anticonvulsant and anti-Alzheimer properties of saffron extract were shown in human and animal studies. The efﬁcacy of C. sativus in the treatment of mild to moderate depression was also reported in clinical trial. Administration of C. sativus and its constituents increased glutamate and dopamine levels in the brain in a dose-dependent manner. It also interacts with the opioid system to reduce withdrawal syndrome. Therefore, in the present article, the effects of C. sativus and its constituents on the nervous system and the possible underlying mechanisms are reviewed. Our literature review showed that C. sativus and its components can be considered as promising agents in the treatment of nervous system disorders.
Malaria Parasites Can Develop Stable Resistance to Artemisinin but Lack Mutations in Candidate Genes atp6 (Encoding the Sarcoplasmic and Endoplasmic Reticulum Ca2+ ATPase), tctp, mdr1, and cg10

ABSTRACT Resistance of Plasmodium falciparum to drugs such as chloroquine and sulfadoxine-pyrimethamine is a major problem in malaria control. Artemisinin (ART) derivatives, particularly in combination with other drugs, are thus increasingly used to treat malaria, reducing the probability that parasites resistant to the components will emerge. Although stable resistance to artemisinin has yet to be reported from laboratory or field studies, its emergence would be disastrous because of the lack of alternative treatments. Here, we report for the first time, to our knowledge, genetically stable and transmissible ART and artesunate (ATN)-resistant malaria parasites. Each of two lines of the rodent malaria parasite Plosmodium chabaudi chabaudi, grown in the presence of increasing concentrations of ART or ATN, showed 15-fold and 6-fold increased resistance to ART and ATN, respectively. Resistance remained stable after cloning, freeze-thawing, after passage in the absence of drug, and transmission through mosquitoes. The nucleotide sequences of the possible genetic modulators of ART resistance (mdr1, cg10, tctp, and atp6) of sensitive and resistant parasites were compared. No mutations in these genes were identified. In addition we investigated whether changes in the copy number of these genes could account for resistance but found that resistant parasites retained the same number of copies as their sensitive progenitors. We believe that this is the first report of a malaria parasite with genetically stable and transmissible resistance to artemisinin or its derivatives.
Thinking one step ahead: The use of conjectures in competitor analysis

An assessment of opponents' reactions to strategic and functional area policy decisions is shown to require knowledge concerning opponents' beliefs about the firm's behavior. This study introduces a methodology for incorporating such conjectures into the business planning process. It presents an analytical measure for these conjectural variations and discusses several illustrations. Examples of the application of the framework are provided by the Japanese flat glass industry and the U.S. domestic coffee roasting industry. The use of a broad range of conjectural variations in competitor analysis is discussed, and implications for business strategy formulation are highlighted.
Modelling Fuzzy Spatial Objects Using Design Patterns ( Extended Abstract )

Spatial Objects Models are the foundation stone of GIS. With increasing awareness and acceptance of spatial data uncertainty, how to model the fuzzy spatial objects is one of the important issues. This paper proposes a flexible fuzzy spatial objects model in practice in the eyes of design patterns. Also, as an instance, we will show how to use the model to predicate the topological relations between fuzzy spatial objects based on crisp objects algorithms.
Infection after Acute Ischemic Stroke: Risk Factors, Biomarkers, and Outcome

Background. The activation of inflammatory cascades triggered by ischemic stroke may play a key role in the development of infections. Methods. Patients admitted with ischemic stroke within 24 hours were prospectively enrolled. Biomarkers of infection were measured on days 1, 3, and 5. The patients were continuously monitored for predefined infections. Results. Patients with infection were older (OR 1.06 per year, 95% CI 1.01–1.11) and had a higher National Institute of Health Stroke Scale Score (NIHSS, OR 1.21, 95% CI 1.10–1.34), localization in the insula, and higher stroke volumes on diffusion-weighted imaging. The maximum temperature on days 1 and 3, leukocytes, interleukin-6, lipopolysaccharide-binding protein on days 1, 3, and 5, C-reactive protein on days 3 and 5, and procalcitonin on day 5 were higher and HLA-DR-expression on monocytes on days 1, 3, and 5 lower in patients with infection. Age and NIHSS predicted the development of infections. Infection was an independent predictor of poor functional outcome. Conclusions. Severe stroke and increasing age were shown to be early predictors for infections after stroke.
The role of proteomics in defining the human embryonic secretome

Non-invasive gamete and embryo assessment is considered an important focus in assisted reproductive technologies (ART). Currently, the selection of embryos for transfer is based on morphological indices. Though successful, the field of ART would benefit from a non-invasive quantitative method of viability determination. Omics technologies, including transcriptomics, proteomics and metabolomics, have already begun providing evidence that viable gametes and embryos possess unique molecular profiles with potential biomarkers that can be utilized for developmental and/or viability selection. Unlike the human genome that is relatively fixed and steady throughout the human body, the human proteome, estimated at over a million proteins, is more complex, diverse and dynamic. It is the proteins themselves that contribute to the physiological homeostasis in any cell or tissue. Of particular interest in ART is the secretome, those proteins that are produced within the embryo and secreted into the surrounding environment. Defining the human embryonic secretome has the potential to expand our knowledge of embryonic cellular processes, including the complex dialogue between the developing embryo and its maternal environment, and may also assist in identifying those embryos with the highest implantation potential. Advances in proteomic technologies have allowed the non-invasive profiling of the human embryonic secretome with ongoing research focused on correlation with outcome. From a clinical perspective, embryo selection based on morphological assessment and non-invasive analysis of the human embryonic secretome may improve IVF success and lead to routine single embryo transfers.
Recursive Monte Carlo filters

Recursive Monte Carlo filters, also called particle filters, are a powerful tool to perform the computations in general state space models. We discuss and compare the accept-reject version with the more common sampling importance resampling version of the algorithm. In particular, we show how auxiliary variable methods and stratification can be used in the accept-reject version, and we compare dierent resampling techniques. In a second part, we show laws of large numbers and a central limit theorem for these Monte Carlo filters by simple induction arguments that need only weak conditions. We also show that under stronger conditions the required sample size is independent of the length of the observed series. AMS 2000 subject classifications. Primary 62M09; secondary 60G35, 60J22, 65C05.
Resource Management in Service Chaining Draft-irtf-nfvrg-resource-management-service-chain-03

This document specifies problem definition and use cases of NFV resource management in service chaining for path optimization, traffic optimization, failover, load balancing, etc. It further describes design considerations and relevant framework for the resource management capability that dynamically creates and updates network forwarding paths (NFPs) considering resource constraints of NFV infrastructure. Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress. " in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
A Quality-Driven Approach to Enable Decision-Making in Self-Adaptive Software

Self-adaptive software is a closed-loop system aims at altering itself in response to changes at runtime. Such a system, normally, requires monitoring, detecting (analyzing), deciding (planning), and acting (effecting) processes to fulfill adaptation requirements. This research mainly focuses on developing a quality-driven framework to facilitate realizing the deciding process. The framework is required to capture goals of adaptation, utility information, and domain characteristics in a knowledge-base.
A Broken Circuit Ring

Given a matroid M represented by a linear subspace L in n-space (equivalently by an arrangement of n hyperplanes in L), we define a graded ring R(L) which degenerates to the Stanley-Reisner ring of the broken circuit complex for any choice of ordering of the ground set. In particular, R(L) is Cohen-Macaulay, and may be used to compute the h-vector of the broken circuit complex of M. We give a geometric interpretation of Spec R(L), as well as a stratification indexed by the flats of M.
A 3-D 160-Site Microelectrode Array for Cochlear Nucleus Mapping

A 3-D application-specific microelectrode array has been developed for physiological studies in guinea pig cochlear nucleus (CN). The batch-fabricated silicon probes contain integrated parylene cables and use a boron etch-stop to define 15μm-thick shanks and limit tissue displacement. Targeting the ventral (three probes) and dorsal (two probes) subnuclei, the custom four-shank 32-site probes are combined in a slotted block platform having a 1.18-mm2 footprint. The device has permitted, for the first time, high-density 3-D in vivo studies of ventral CN to dorsal CN connections, stimulating with 1000 μm2 sites in one subnucleus while recording with 177 μm 2 sites in the other. Through these experiments, it has demonstrated the efficacy of bimodal silicon arrays to better understand the central nervous system at the circuit level. The 160 electrode sites also provide a high-density neural interface, which is an essential aspect of auditory prosthesis prototypes.