Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated refinement of sustainability-oriented policies for a sustainable network management

Sustainable networks management represents a significant opportunity for reducing energy consumption among Information and Communication Technologies. Policy Based Network Management (PBNM) is one of the key approaches to bring sustainability to networks. However, despite its poten-tial, PBNM is not yet widely commercially used. The widespread use depends on an automated policies refinement process in order to translate high-level policies into machine-readable policies able to put the business strategies into practice. This work aims at proposing an automated sustainability-oriented policies refinement method, as well as an architecture and a prototype to a sustainable network management.
A HIGH EQUIPPED FACIAL EXPRESSION RECOGNITION RATE FRAME WORK BASED ON PERCEPTUAL COLOR SPACE

 This paper proposes facial expression recognition in perceptual color space. Tensor perceptual color framework is introduced in this paper for facial expression recognition (FER), which is based on information contained in color facial images. TPCF enables multi linear image analysis in different color space, and demonstrate the color components give the additional information for the robust FER. Using this framework, the components ( in either RGB, CIELab or CIELuv, YCbCr space) of color images are unfolded to 2-D tensors based on multi linear algebra and tensors concepts, from which the feature are extracted by Log-Gabor filters. The mutual information quotients method is employed for the feature selection. Features are classified using multiclass linear discriminate analysis classifiers. Experimental result shows that color information has significant potential to improve emotions recognition performance due to the complementary characteristics of the image textures. The perceptual color spaces (CIELab and CIELuv) are better and overall for FER than color space, by providing more efficient and robust performance for FER using facial images with illumination variation. Index Terms CIELab, CIELuv, Facial expression recognition (FER), Log-Gabor filters, multilinear image analysis, perceptual color space.
The complexity of rooted phylogeny problems

Several computational problems in phylogenetic reconstruction can be formulated as restrictions of the following general problem: given a formula in conjunctive normal form where the atomic formulas are rooted triples, is there a rooted binary tree that satisfies the formula? If the formulas do not contain disjunctions and negations, the problem becomes the famous rooted triple consistency problem, which can be solved in polynomial time by an algorithm of Aho, Sagiv, Szymanski, and Ullman. If the clauses in the formulas are restricted to disjunctions of negated triples, Ng, Steel, and Wormald showed that the problem remains NP-complete. We systematically study the computational complexity of the problem for all such restrictions of the clauses in the input formula. For certain restricted disjunctions of triples we present an algorithm that has sub-quadratic running time and is asymptotically as fast as the fastest known algorithm for the rooted triple consistency problem. We also show that any restriction of the general rooted phylogeny problem that does not fall into our tractable class is NP-complete, using known results about the complexity of Boolean constraint satisfaction problems. Finally, we present a pebble game argument that shows that the rooted triple consistency problem (and also all generalizations studied in this paper) cannot be solved by Datalog.
KBGen - Text Generation for Knowledge Bases as a New Shared Task

In this paper we propose a new shared task where the aim is to produce coherent descriptions of concepts and relationships in a frame-based knowledge base (KB). We propose to use AURA, a freely available KB, for the shared task and illustrate an application context for NLG. We show that the same application context and the need for language generation tools can be generalized to other biology knowledge bases. We argue that the easy availability of input data and a larger research community -- both domain experts and knowledge representation experts -- which actively uses these knowledge bases, along with regular evaluation experiments, creates an ideal scenario for a shared task.
Optical parameters of thin silica films on silicon substrates

Metoda zolel jest chemicznym sposobem produkcji szk a i ceramiki z fazy ciek ej. Mo e by ona stosowana do produkcji materia ow o ro nych strukturach, ktorych w a ciwo ci zyczne mo na przekszta ca w szerokim zakresie [1], co jest podstawow zalet tej technologii. W zale no ci od zastosowanego procesu technologicznego, wytwarzany materia mo e by zwarty lub porowaty. Istnieje mo liwo produkowania materia ow krzemionkowych zarowno o duej obj to ci, jak i cienkich warstw na ro nych pod o ach [1]. Porowate warstwy krzemionkowe znajduj szerokie zastosowanie w optoelektronice [2-4]. Ze wzgl du na niski wspo czynnik za amania mog one by stosowane w systemach optycznych do zmniejszenia wspo czynnika odbicia wiat a. Artyku po wi cony jest w a ciwo ciom optycznym cienkich warstw krzemionki porowatej wytwarzanych metod zolel. Warstwy zosta y naniesione na pod o a krzemowe metod zanurzeniow . W procesie produkcji warstw jako prekursora u yto tetraetoksysilanu (TEOS), ktory zosta poddany reakcjom hydrolizy oraz kondensacji. Zastosowanym katalizatorem by kwas solny. Wysoki stopie porowato ci warstw zosta osi gni ty poprzez dodanie do wyj ciowego roztwoParametry optyczne cienkich warstw krzemionkowych na pod o ach krzemowych
Parallel job scheduling on multicluster computing system

Cluster computing has come to prominence as a cost-effective parallel processing tool for solving many complex computational problems. The key to making cluster computing work well is the middleware technologies that can manage the policies, protocols, networks, and job scheduling across the interconnected set of computing resources. The research question addressed in this paper is the on-line job scheduling problem for multi-cluster systems. To this end, we propose an on-line dynamic scheduling policy that manages multiple job streams across both single and multiple cluster computing systems with the objectives of improving the mean response time and system utilization. The performance of the proposed scheduling policy is compared against a space-sharing policy and a time-sharing policy. The results of the experiments show that the proposed policy produces significantly better response times than the other two policies.
Deinococcus radiodurans pprI expression enhances the radioresistance of eukaryotes

PprI accelerates radiation-induced DNA damage repair via regulating the expression of DNA repair genes and enhances antioxidative enzyme activity in Deinococcus radiodurans after radiation. The main aim of our study was to determine whether the expression of pprI gene could fulfil its DNA repair function in eukaryotes and enhance the radioresistance of eukaryotic organism or not. In this study, we constructed pEGFP-c1-pprI eukaryotic expression vector and established a human lung epithelial cell line BEAS-2B with stable integration of pprI gene. We found that pprIexpression enhanced radioresistance of BEAS-2B cells, decreased γ-H2AX foci formation and apoptosis in irradiated BEAS-2B cells and alleviated radiation induced G2/M arrest of BEAS-2B cells. Moreover, we transferred pEGFP-c1-pprI vector into muscle of BALB/c mice by in vivo electroporation and studied the protective effect of prokaryotic pprI gene in irradiated mice. We found that pprI expression alleviated acute radiation induced hematopoietic system, lung, small intestine and testis damage and increased survival rate of irradiated mice via regulating Rad51 expression in different organs. These findings suggest that prokaryotic pprI gene expression in mammalian cells could enhance radioresistance in vitro and in vivo.
THE NTU-ADSC SYSTEMS FOR REVERBERATION CHALLENGE 2014

This paper describes our speech enhancement and recognition systems developed for the Reverberation Challenge 2014. To enhance the noisy and reverberant speech for human listening, besides using conventional methods such as delay and sum beamformer and late reverberation reduction by spectral subtraction, we also studied a novel learning-based speech enhancement. Specifically, we train deep neural networks (DNN) to map reverberant spectrogram to the corresponding clean spectrogram by using parallel data of clean and reverberant speech. Results show that the trained DNN is able to reduce reverberation significantly for unseen test data. For the speech recognition task, when parallel data is available, we train a DNN tomap reverberant features to clean features, following the same spirit as the DNN-based speech enhancement. Results show that the DNN-based feature compensation improves speech recognition performance even when a DNN acoustic model is already used, showing the benefit of explicitly cleansing the features. When parallel data is not available in the clean condition training scheme, we focus on reducing the training-test mismatch by using our proposed cross transform feature adaptation that uses both temporal and spectral information. The cross transform works complementarily with traditional model adaptation.
Interference Management for Multiple Multicasts with Joint Distributed Source/Channel/Network Coding

This paper focuses on the QoS-constrained jointly optimal adaptive distributed source coding, channel coding, network coding and power control for Co-Channel Interference (CCI)-limited wireless multiple class multicast networks, such as, for example, Wireless Sensor Networks (WSNs). The goal is to allocate the available system-wide resources by jointly performing Loss-Less Distributed Source Coding (LLDSC) and Intra-Session Network Coding (ISNC), while leveraging channel coding and power control for CCI-mitigation. Due to the presence of CCI, the resulting cross-layer optimization problem is inherently nonconvex. Hence, we develop a distributed, iterative and asynchronous algorithm for the optimal adaptive QoS management of the available bandwidth/power/flow resources. Actual performance and adaptive capability of the proposed resource management algorithm in the presence of: i) abrupt changes of the statistics of the source flows; ii) failures of the interior network nodes; and, iii) fast fading, are numerically tested.
Joint linear processing design for distributed two-way Amplify-and-Forward MIMO relaying networks

Linear transceiver designs are investigated for distributed two-way relaying networks, which aim at minimising the Weighted Mean Square Error (WMSE) of data detections. The forwarding matrices at relays and equalization matrices at destinations are jointly optimised. To overcome the challenging limitations introduced by individual power constraints, a Semi-Definite Relaxation (SDR) called element-wise relaxation is proposed, which can transform the original optimization problem into a standard convex optimization problem. In this research, two-way relaying is understood from a pure signal processing perspective which can potentially simplify the theoretical analysis. Finally, simulation results are used for assessing the performance advantage of the proposed algorithm.
Supporting Differentiated ServicesWith Configurable Business Processes

Service oriented computing (SOC) allows resources on a network to be made available as services. For a business service, differentiated services can be provided based on the usage context, i.e., location, age, purpose and user profiles. In differentiated services, service outcomes depend on context. Currently there is no efficient technical solution for supporting differentiated service development. In this paper we present an approach to deliver differentiated services realized by configurable business processes so that service flexibility, manageability and reusability can be achieved.
Protein Phosphorylation Is Induced in Tobacco Cells by the Elicitor Cryptogein

Changes in plasmalemma ion fluxes were observed when tobacco (Nicotiana tabacum) cells were treated with cryptogein, a proteinaceous elicitor from Phytophthora cryptogea. A strong alkalization of the culture medium, accompanied by a leakage of potassium, was induced within a few minutes of treatment. These effects reached a maximum after 30 to 40 min and lasted for several hours. This treatment also resulted in a rapid, but transient, production of activated oxygen species. All these physiological responses were fully sensitive to staurosporine, a known protein kinase inhibitor. Furthermore, a study of protein phosphorylation showed that cryptogein induced a staurosporine-sensitive phosphorylation of several polypeptides. These data suggest that phosphorylated proteins may be essential for the transduction of elicitor signals.
Online Chinese Character Recognition Based on Force Vector

Force sensitive tablet (F-Tablet) is a novel handwriting input device, it can capture two dimension torque and three dimension force information directly. With the force and torque information, handwriting recognition and signature verification will be more efficient. This paper discusses a handwriting recognition process which firstly utilizes the novel force data to extract strokes of Chinese characters and then builds HMM to recognize each stroke. So the basic notion is stroke-HMM which is widely used in the online Chinese character recognition (OCCR). To recognize the whole character, the Chinese Character library based on strokes is built. Hence, once the strokes of a character is given, the character could be found quickly throughout the library. At the same time, some experiment result is given either
Study on the components of luobuma with peroxynitrite-scavenging activity.

The origin of the antioxidant activity of Luobuma aqueous extract was examined by measuring the peroxynitrite (ONOO-)-eliminating activities of fractions of this extract obtained by Sephadex LH-20 column chromatography. Three of the four fractions obtained, i.e., those excluding the H2O-eluted fraction, were found to possess (ONOO-)-eliminating activity. These three fractions were combined and fractionated again by Sephadex LH-20 column chromatography, which yielded five fractions. Seven different compounds were isolated from two of these five fractions with high activity. Epigallocatechin-(4beta-8)-epicatechin showed the highest (ONOO-)-eliminating activity.
A Complexity measure based on Requirement Engineering Document

Research shows, that the major issue in development of quality software is precise estimation. Further this estimation depends upon the degree of intricacy inherent in the software i.e. complexity. This paper attempts to empirically demonstrate the proposed complexity which is based on IEEE Requirement Engineering document. It is said that a high quality SRS is pre requisite for high quality software. Requirement Engineering document (SRS) is a specification for a particular software product, program or set of program that performs some certain functions for a specific environment. The various complexity measure given so far are based on Code and Cognitive metrics value of software, which are code based. So these metrics provide no leverage to the developer of the code. Considering the shortcoming of code based approaches, the proposed approach identifies complexity of software immediately after freezing the requirement in SDLC process. The proposed complexity measure compares well with established complexity measures. Finally the trend can be validated with the result of proposed measure. Ultimately, Requirement based complexity measure can be used to understand the complexity of proposed software much before the actual implementation of design thus saving on cost and manpower wastage.
Purinergic P2Y12 Receptor Activation in Eosinophils and the Schistosomal Host Response

Identifying new target molecules through which eosinophils secrete their stored proteins may reveal new therapeutic approaches for the control of eosinophilic disorders such as host immune responses to parasites. We have recently reported the expression of the purinergic P2Y12 receptor (P2Y12R) in human eosinophils; however, its functional role in this cell type and its involvement in eosinophilic inflammation remain unknown. Here, we investigated functional roles of P2Y12R in isolated human eosinophils and in a murine model of eosinophilic inflammation induced by Schistosoma mansoni (S. mansoni) infection. We found that adenosine 5’-diphosphate (ADP) induced human eosinophils to secrete eosinophil peroxidase (EPO) in a P2Y12R dependent manner. However, ADP did not interfere with human eosinophil apoptosis or chemotaxis in vitro. In vivo, C57Bl/6 mice were infected with cercariae of the Belo Horizonte strain of S. mansoni. Analyses performed 55 days post infection revealed that P2Y12R blockade reduced the granulomatous hepatic area and the eosinophilic infiltrate, collagen deposition and IL-13/IL-4 production in the liver without affecting the parasite oviposition. As found for humans, murine eosinophils also express the P2Y12R. P2Y12R inhibition increased blood eosinophilia, whereas it decreased the bone marrow eosinophil count. Our results suggest that P2Y12R has an important role in eosinophil EPO secretion and in establishing the inflammatory response in the course of a S. mansoni infection.
Analysis of Florida MSW Landfill Leachate Quality July 1998

Current databases for landfill leachates are not geographically specific; rarely acknowledge the impact of site specific parameters such as age, water balance, type of waste, landfill operation, etc.; and cover such large concentration ranges that they are often of little use. Analysis of data from lined landfills in Florida was needed to provide useful information for the design and management of landfill leachates. The specific objectives of this research, therefore, were to acquire leachate data from Florida municipal solid waste (MSW) lined landfills and analyze these data in an effort to characterize Florida landfill leachate. Leachate quality data were acquired for Florida MSW lined landfills from Florida Department of Environmental Protection (FDEP) files. Data analysis was performed using the Microsoft Excel Analysis ToolPak, KURV+, and SYSTAT. Various graphical and statistical techniques such as chronological analysis, hypothesis testing, analysis of variance, and cluster analysis were used to characterize leachate from Florida landfills. Analyses were designed to identify trends in the data and to determine the effects of climate, region or location, age of the fill, and waste characteristics on leachate quality. In general, the Florida climate (e.g. heavy rainfall and warm temperatures) appears to produce dilute leachate, maintaining leachate concentrations at relatively low levels compared to literature values and Browning-Ferris Industries (BFI) landfill data. Leachate from shredded waste fills has significantly higher concentrations of organic pollutants than leachate from unshredded landfills. Also, this research suggested that codisposal of ash with MSW does not appear to adversely impact leachate quality. Analysis of Florida MSW Landfill Leachate Quality Data Debra R. Reinhart and Caroline J. Grosh Civil and Environmental Engineering Department University of Central Florida Phone Number: (407) 823-2156
The Cloned Locus of Enterocyte Effacement from EnterohemorrhagicEscherichia coli O157:H7 Is Unable To Confer the Attaching and Effacing Phenotype upon E. coliK-12

ABSTRACT The locus of enterocyte effacement (LEE) pathogenicity island of enterohemorrhagic Escherichia coli (EHEC) O157:H7 possesses the same genes in identical order and orientation as the LEE of enteropathogenic E. coli (EPEC) O127:H6 but is unable to form attaching and effacing (A/E) lesions or to secrete Esp proteins when it is cloned in an E. coli K-12 background. The A/E phenotype could not be restored by trans complementation with a variety of cloned EPEC LEE fragments, suggesting functional and/or regulatory differences between the LEE pathogenicity islands of EPEC O127:H6 and EHEC O157:H7.
Coevolution and the adaptive value of autumn tree colours: colour preference and growth rates of a southern beech aphid

The evolutionary explanation for the change in leaf colour during autumn is still debated. Autumn colours could be a signal of defensive commitment towards insects (coevolution) or an adaptation against physical damage because of light at low temperatures (photoprotection). These two hypotheses have different predictions: (1) under the coevolution hypothesis, insects should not prefer red leaves in autumn and grow better in spring on trees with green autumn leaves; and (2) under the photoprotection hypothesis, insects should prefer and grow better on trees with red leaves because they provide better nutrition. Studying colour preference in autumn and growth rates in spring of a southern beech aphid species (Neuquenaphis staryi) on Nothofagus alessandrii, we found preference for green leaves in autumn but no differential performance of aphids in spring. We suggest that aphid preference for green might have evolved to exploit better their host during the autumn rather than to improve their performance in spring.
Evaluating on Performance of Single-source Single- relay Sr-carq protocol in Tdma Networks with Raleigh Fading

This paper analyzes the performance of single-source and single-relay SR-CARQ protocol in TDMA wireless communication system. We establish its M/G/1 queuing model with vacations, and provide the expressions of its system time delay and saturation throughput. Then the analysis of theory and simulation results under the slow Raleigh fading channel show that under what conditions the SR-CARQ protocol is superior to its noncooperative counterpart.
ROBUST AND PRIVACY PROTECTION AUTHENTICATION IN CLOUD COMPUTING

In the cloud environments, the cloud user can use low computing devices to connect to the clouds. For checking the identities of the user and the cloud server, they must do mutual user authentication before using the cloud services. Also, the trans- mitted messages between them must be protected. These environments are different with traditional client-server environments since a cloud user may use many various devices to connect to the cloud server to do authentication. It will face the following problems. Therst problem is that some devices only have low computing and memory ability. The second problem is that the cloud user may have many various devices for storing secret sensitive information. If some devices are lost, it is hard to recover the sensitive information stored in these devices. In order to solve all the above problems, we propose a lightweight robust and privacy protection authentication scheme for cloud computing. Our proposed authentication scheme can prevent the insider attack even if the secret in- formation stored in a cloud database is compromised and the offline dictionary attack even if the secret information stored in a user's device is compromised. Also, the cloud user can freely choose his password to use our proposed authentication scheme.
Mass measurements of stored exotic nuclei

Knowledge of atomic masses is indispensable in nuclear structure and nuclear astrophysics. In the last two decades, majority of experimental data on nuclear masses stems from measurements of stored ions. The ions can be stored at low energies in a Penning trap or at significantly higher energies in a storage ring. In both cases revolution frequencies of ions trapped in a confining magnetic field are determined which enables high-precision mass measurements. In this contribution we sketch the experimental techniques and recent results. Future perspectives at the new generation radioactive beam facilities are outlined.