Miracle-dz/UniFAR-FTUs huggingface dataset:
Structured support vector machine learning of conditional random fields

This research aims to improve the capability of semantic segmentation through data perspective. This research proposed a parameterized Conditional Random Fields model and learns the model by using Structured Support Vector Machine (SSVM). The SSVM utilizes Hamming loss function for optimizing 1-slack Margin Rescaling formulation. The joint feature vector is derived from energy potentials. Variation of image size produces some missing values in the joint feature vector. This research shows that a zero padding can resolve the missing values. The experiment result shows that prediction with parameterized CRF yields 75.867% global accuracy (GA) and 22.1410 % averaged class accuracy (CA).
A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data

Computing semantic relatedness is an essential operation for many natural language processing (NLP) tasks, such as Entity Linking (EL) and Question Answering (QA). It is still challenging to find a scalable approach to compute the semantic relatedness using Semantic Web data. Hence, we present for the first time an approach to pre-compute the semantic relatedness between the instances, relations, and classes of an ontology, such that they can be used in real-time applications.
The regulation of vacuolar pH in anthocyanin accumulating cells : a strategy conserved during evolution

The coloration of different plant parts is due to the accumulation of pigment molecules in specific cell compartments. Anthocyanins are plant pigments, responsible for red/purple colours in most fruits and flowers. The pH of the vacuole, where anthocyanin pigments accumulate, is crucial for the final colour of the tissue. Recent work in petunia revealed that cells that accumulate anthocyanins express a novel pathway for the acidification of the vacuole. In the petals of petunia flowers the P-ATPases PH5 and PH1 maintain a vacuolar pH value almost a unit lower that in leaf cells. Both proteins are localized on the tonoplast and belong to two different subfamilies of P-ATPase pumps. Database searches showed that only a few Angiosperm have this combination of pumps, while PH1 homologs are lacking from many angiosperms, mosses, and fungi do not have this system to regulate vacuolar pH. Here we show that PH1 and PH5 homologues from petunia, grape, Arabidopsis, carnation and rose are functionally identical as they are able to complement the respective petunia mutants. The high conservation of this mechanism among different organisms and its peculiar phylogenetic distribution, open several interesting questions about the function of these genes and the way in which they were acquired along evolution.
A contactless electrical energy transmission system for portable-telephone battery chargers

A high-performance contactless electrical energy transmission (CEET) technique which employs the inductive energy transmission principle is described. The proposed technique enables the implementation of high-efficiency, high-power-density, fully-regulated CEET systems suitable for applications with a wide input and load range. Specifically, the described CEET system is suitable for the use in universal-input battery chargers.
A modelling approach to the estimation of catch-at-age of commercial fish species

A Bayesian hierarchical model is developed to estimate catch-at-age from commercial fisheries data. Most common forms of data can be utilised: age and length, length-stratified ages and length only. There is no need to construct an age-length-key. Both landings and discards can be estimated, as can the effects of age reading errors. Estimates can be made for difficult to distinguish stocks where the stock can only be identified in some fish, eg from otoliths in fish with age readings. Uncertainty in the stock identification can be included. The Bayesian methodology means that the uncertainty in the estimates is fully captured in their posterior distributions. An important aspect is the inclusion in the model of random effects to account for positive correlation in fish size and age within the sampling units.
Scene and Heard : The Role of Music in Shaping Interpretations of Film

ISLAM AND FUNDAMENTALISM – On May 16, Professor Dustin Berna led a discussion which revealed that the death of Osama bin Laden does not have any significant impact on who is “winning” the war on terror. Real solutions require going to the sources of dissatisfaction. Many believe that America supports various Middle East leaders who suppress their peoples and turns a blind eye to the unequal distribution of justice and wealth.
CONSIDERING THE SECOND PEAK IN THE GCC FUNCTION FOR MULTI-SOURCE TDOA ESTIMATION WITH A MICROPHONE ARRAY

Time Difference Of Arrival (TDOA) estimates can be used for passive acoustic multiple sound source localization with microphone arrays. The TDOA estimation is based on the cross-correlation function of two signals of a microphone pair. Existing systems assume only one dominant sound source per analysis frame rejecting the localization information of other active sources present in the acoustic environment. In this publication the possibility of simultaneously considering the localization information of two sound sources per analysis frame is studied. To measure the reliability of the information for the second active sound source, two properties of the cross-correlation function can be used. Real data experiments are carried out for a stationary twospeaker scenario in a noisy and reverberant office room.
Self-Actuating Asymmetric Platinum Catalytic Mobile Nanorobot

This paper introduces a novel catalytic mobile micro/nanorobot made only of platinum that realizes nanometer locomotion in hydrogen peroxide solution. The innovative mechanism and principle of the nanorobot are presented. A simple and effective fabrication process by focused ion beam and a stable manipulation method of the nanorobot are demonstrated. The nanorobot can steer or navigate by its finely designed geometry, and keep a stable rotational motion rather than arbitrary and uncertain movement. This paper evaluates the influence of some critical factors on the movement of the nanorobot, such as the concentration and temperature of the hydrogen peroxide solution, and the geometry of a nanorobot. The control of the nanorobot's movement can be realized based on the result of this evaluation. Compared with previous studies, this catalytic platinum nanorobot realizes bidirectional rather than unidirectional movement. The Langevin equation is used to describe the dynamic model of the platinum nanorobot.
Exploiting assumption-based verification for the adaptation of service-based applications

Service-based applications (SBAs) need to operate in a highly dynamic world, in which their constituent services could fail or become unavailable. Monitoring is typically used to identify such failures and, if needed, to trigger an adaptation of the SBA to compensate for those failures. However, existing monitoring approaches exhibit several limitations: (1) Monitoring individual services can uncover failures of services. Yet, it remains open whether those individual failures lead to a violation of the SBA's requirements, which would necessitate an adaptation. (2) Monitoring the SBA can uncover requirements deviations. However, it will not provide information about the failures leading to this deviation, which constitutes important information needed for the adaptation activities. Even a combination of (1) and (2) is limited. For instance, a requirements deviation will only be identified after it has occurred, e. g. , after the execution of the whole SBA, which then in case of failures might require costly compensation actions. In this paper we introduce an approach that addresses those limitations by augmenting monitoring techniques for individual services with formal verification techniques. The approach explicitly encodes assumptions that the constituent services of an SBA will perform as expected. Based on those assumptions, formal verification is used to assess whether the SBA requirements are satisfied and whether a violation of those assumptions during run-time leads to a violation of the SBA requirements. Thereby, our approach allows for (a) pro-actively deciding whether the SBA requirements will be violated based on monitored failures, and (b) identifying the specific root cause for the violated requirements.
Americas Conference on Information Systems ( AMCIS ) 1-1-2005 Asymmetric Incentives in Peer-to-Peer Systems

In most application scenarios for Peer-to-Peer systems, in order to achieve an overall acceptable system performance an incentive scheme is required that motivates users to share as much as possible of their free resources Today most peers use connections of asymmetric links, such as A-DSL or cable modems. Therefore, users have significantly more download bandwidth than their available upload bandwidth. Applying this observation to incentive schemes suggests that one unit of upload bandwidth should be valued higher than one download unit. Using such an incentive scheme leads the economy of the system to inflation. The incentive scheme would finally collapse. However, by exhibiting the phenomenon of altruistic behavior altruistic peers would accumulate the waste amount of the incentive units. Thus, inflation might be avoided. Gathering the results of a detailed simulative approach, this paper shows how to balance asymmetric incentive schemes in order to avoid inflation.
Defects Detection in Imperative Language and C# Applications - Towards Evaluation Approach

An imperative language such as C++ is a familiar object oriented programming that is widely used for reusability and increased ability to enlighten with other languages. The objective of software testing is to uncover as many errors as possible with a minimum cost. Testing is not confined only to the detection of bugs, it also assists with the evaluation of the functional properties of the software. A piece of software can be tested to increase the confidence by exposing potential flaws or deviations from the user's requirements. Unit testing is to authenticate incorrectness and succeed when an error is detected. This work addresses the detection of defects in C# applications, which leads to logical error. Logical errors occur when the code does not perform the way it is intended to perform. The detection and elimination of the logical bug is one of the aims of testing. These errors are very difficult to track since the compiler does not provide assistance. One of the reasons for Errors is the presence of unintended characters. A missing or an incorrect piece of code is a defect and it remains undetected until an event activates it. When the code performs unit test, automatically each and individual line of code attempts the syntax checking. It helps to detect and remove all logical and syntactical defects from a given piece of code; unit testing is the most essential technique which can be used for executing the code with checking process. To catch all kinds of defects in the coding phase, the unit tests take a place on C++ and C# applications. This work includes the defects occur due to unintended characters, wrong usage of data member and formal parameter and a missing argument indicator in console-based applications of C#. In addition to that, the interface anomaly and inheritance anomaly are also detected. Because of enrichment, the comparison has been made on the object oriented source code such as C++ with C# applications. By this approach instantly, unit testing improves the quality of the code in terms of reducing the programmer's burden, time and effort.
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection are based on small-scale datasets which are not comprehensive enough when exploring emerging deep learning techniques. In this paper, we introduce "LOGO-Net", a large-scale logo image database for logo detection and brand recognition from real-world product images. To facilitate research, LOGO-Net has two datasets: (i)"logos-18" consists of 18 logo classes, 10 brands, and 16,043 logo objects, and (ii) "logos-160" consists of 160 logo classes, 100 brands, and 130,608 logo objects. We describe the ideas and challenges for constructing such a large-scale database. Another key contribution of this work is to apply emerging deep learning techniques for logo detection and brand recognition tasks, and conduct extensive experiments by exploring several state-of-the-art deep region-based convolutional networks techniques for object detection tasks. The LOGO-net will be released at this http URL
Is there a wage cost for employees in family‐friendly workplaces? The effect of different employer policies

This article assesses the wage impact of different family‐friendly employer policies: in‐kind or in‐cash child‐related benefits and flexible work schedule arrangements. We use French matched employee–employer data with a rich set of indicators of family‐friendly benefits, and we pay attention to the possible endogeneity of worker–employer matching. Our results show that the provision of in‐cash or in‐kind benefits is associated with higher wages for women, while flexible work schedules have no significant effect on wages. Our results lead us to reject the hypothesis of compensating wage differentials: women do not appear to face a trade‐off between wages and a better work–life balance. Our findings are more in line with the enhancing productivity theory: in‐kind benefits reduce the time devoted to household activities and alleviate conflict between professional life and family life, thereby improving women's work effort and productivity. This is not the case for flexible work arrangements, which may be perceived as negatively related to workers’ commitment to their job.
Threshold Proxy Re-Encryption Scheme and Decentralized Erasure Code in Cloud Storage With Secure Data Forwarding

A cloud storage system, used to store large number of data in storage server. Cloud system is used to provide large number storage servers, which provide long-term storage service over the Internet. Third party’s cloud system does not provide data confidentiality. Constructing centralized storage system for the cloud system makes hackers stole data easily. General encryption schemes protect data confidentiality. In the proposed system a secure distributed storage system is formulated by integrating a threshold proxy re-encryption scheme with a decentralized erasure code. The distributed storage system not only supports secure and robust data storage and retrieval, but also lets a user forward data from one user to another without retrieving the data back. The main technical involvement is that the proxy re-encryption scheme supports encoding operations over encrypted messages as well as forwarding operations over encoded and encrypted messages. The method fully integrates encrypting, encoding, and forwarding. The proposed system is applied for military and hospital applications, then other secret data transmission.
The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling

Reducing uncertainties in Earth System Model predictions requires carefully evaluating core model processes. Here we examined how canopy radiative transfer model (RTM) parameter uncertainties, in combination with canopy structure, affect terrestrial carbon and energy projections in a demographic land-surface model, the Ecosystem Demography model (ED2). Our analyses focused on temperate deciduous forests and tested canopies of varying structural complexity. The results showed a strong sensitivity of tree productivity, albedo, and energy balance projections to RTM parameters. Impacts of radiative parameter uncertainty on stand-level canopy net primary productivity ranged from ~2 to > 20% and was most sensitive to canopy clumping and leaf reflectance/transmittance in the visible spectrum (~400 – 750 nm). ED2 canopy albedo varied by ~1 to ~10% and was most sensitive to near-infrared reflectance (~800 – 1200 nm). Bowen ratio, in turn, was most sensitive to wood optical properties parameterization; this was much larger than expected based on literature, suggesting model instabilities. In vertically and spatially complex canopies the model response to RTM parameterization may show an apparent reduced sensitivity when compared to simpler canopies, masking much larger changes occurring within the canopy. Our findings highlight both the importance of constraining canopy RTM parameters in models and valuating how the canopy structure responds to those parameter values. Finally, we advocate for more model evaluation, similar to this study, to highlight possible issues with model behavior or process representations, particularly models with demographic representations, and identify potential ways to inform and constrain model predictions. Key points Uncertainties in vegetation radiative parameter affect carbon, water and energy balances in ecosystem models. Radiative properties can lead to significant changes in demography and canopy structure even if aggregate model responses appear unchanged
Distributed communication in ML

We present our experience in implementing a group communication toolkit in Objective Caml, a dialect of the ML family of programming languages. We compare the toolkit both quantitatively and qualitatively to a predecessor toolkit which was implemented in C. Our experience shows that using the high-level abstraction features of ML gives substantial advantages. Some of these features, such as automatic memory management and message marshalling, allowed us to concentrate on those pieces of the implementation which required careful attention in order to achieve good performance. We conclude with a set of suggested changes to ML implementations.
Children’s encounters with professionals – recognition and respect during collaboration

ABSTRACT In the context of Child Welfare, collaboration is used to ensure that families receive the best public services. In these working processes children have the legal right to participate. Research has demonstrated that children are sensitive to whether they feel they are treated with respect. The issue of partnership relations can be demanding. This article examines children’s experiences with recognition in the context of service collaboration. Based on a Norwegian qualitative research project about professional-child interactions in the context of public services and a narrative analysis of two accounts, we have identified key professional actions associated with recognition in collaborative processes with children. A dialogical form of communication, as well as the exploration of children’s troubles, abilities and skills, highlighted the children’s experiences of recognition and respect. Further research should concentrate on how to ensure that recognition occurs during communication with children in Child Welfare Services.
Paediatric oncology and intensive care treatments: changing trends

OBJECTIVES To review the outcome of patients with childhood malignancy requiring intensive care treatment and to assess whether there is any secular trend for improved outcome. DESIGN Retrospective chart reviews of 74 consecutive admissions to a paediatric intensive care unit from a regional paediatric oncology centre between 1990 and 1997. During the same period there were 6419 admissions to the oncology unit, 814 of whom were new cases. RESULTS The overall survival at discharge from the intensive care unit was 49 of 74. Patients with either systemic or respiratory infection requiring ventilation had the poorest survival (13 of 31) whereas postoperative patients had the best survival (15 of 15). However, patients with respiratory or systemic infection who required inotropic support with more than three agents all died compared with about one quarter of those needing no inotrope. All patients with systemic or respiratory infective illness were neutropenic and positive microbiological identification was possible in 13 of 21 and five of 18, respectively. Non-survivors had a higher mean acute physiology and chronic health evaluation system (APACHE-II) score than survivors (24.2v 15.94, respectively) but no patient with a score of > 27 survived. CONCLUSION Compared with previous series, there has been a great improvement in survival of oncology patients admitted to the intensive care unit especially those with either systemic or respiratory infection needing ventilation. Full intensive care treatment should be provided for these patients.
A conditional replication-competent adenoviral vector, Ad-OC-E1a, to cotarget prostate cancer and bone stroma in an experimental model of androgen-independent prostate cancer bone metastasis.

Prostate cancer has a high propensity to metastasize to bone, which often resists hormone, radiation, and chemotherapies. Because of the reciprocal nature of the prostate cancer and bone stroma interaction, we designed a cotargeting strategy using a conditional replication-competent adenovirus to target the growth of tumor cells and their associated osteoblasts. The recombinant Ad-OC-E1a was constructed using a noncollagenous bone matrix protein osteocalcin (OC) promoter to drive the viral early E1a gene with restricted replication in cells that express OC transcriptional activity. Unlike Ad-PSE-E1a, Ad-OC-E1a was highly efficient in inhibiting the growth of PSA-producing (LNCaP, C4-2, and ARCaP) and nonproducing (PC-3 and DU145) human prostate cancer cell lines. This virus was also found to effectively inhibit the growth of human osteoblasts and human prostate stromal cells in vitro. Athymic mice bearing s.c. androgen receptor-negative and PSA-negative PC-3 xenografts responded to a single intratumoral administration of 2 x 10(9) plaque-forming unit(s) of Ad-OC-E1a. In SCID/bg mice, intraosseous growth of androgen receptor-positive and PSA-producing C4-2 xenografts responded markedly to i.v. administrations of a single dose of Ad-OC-E1a. One hundred percent of the treated mice responded to this systemic Ad-OC-E1a therapy with a decline of serum PSA to an undetectable level, and 80% of the mice with PSA rebound responded to the second dose of systemic Ad-OC-E1a. Forty percent of the mice were found to be cured by systemic Ad-OC-E1a without subsequent PSA rebound or tumor cells found in the skeleton. This cotargeting strategy shows a broader spectrum and appears to be more effective than systemic Ad-PSE-E1a in preclinical models of human prostate cancer skeletal metastasis.
TECHNICAL TRANSLATION TRAINING. THE METHODOLOGICAL IMPLICATIONS OF NEW TECHNOLOGIES IN THE APPROACH OF SCIENTIFIC TERMINOLOGY Dr. Ioannis E. Saridakis Lecturer of Technical Translation EN-EL and IT Applications in Translation Department of Foreign Languages, Translation and Interpreting Ionian Unive

0. Summary The rapid evolution of computer systems is driving dramatic changes in the ways people perceive, interpret and communicate information. A communicative act per se, translation, could all but remain unaffected in this new information environment. However, in an academic setting, it still remains a challenge for the tutor of specialised translation, to prevent the students’ misinterpretation of these new technologies, particularly as regards their usefulness in supporting the process of translation. This can only be achieved through systematic approaches that integrate the evaluative access to electronically-distributed information in our traditional translator training pedagogies. The paper aims to present the methods and aims of this approach, together with some preliminary conclusions.