Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Deep Learning to Fast Radio Burst Classification

Upcoming fast radio burst (FRB) surveys will search ∼103 beams on the sky with a very high duty cycle, generating large numbers of single-pulse candidates. The abundance of false positives presents an intractable problem if candidates are to be inspected by eye, making it a good application for artificial intelligence (AI). We apply deep learning to single-pulse classification and develop a hierarchical framework for ranking events by their probability of being astrophysical transients. We construct a treelike deep neural network that takes multiple or individual data products as input (e.g., dynamic spectra and multibeam information) and trains on them simultaneously. We have built training and test sets using false-positive triggers from real telescopes, simulated FRBs, and pulsar single pulses. Training the network was independently done for both the CHIME Pathfinder and Apertif. High accuracy and recall can be achieved with a labeled training set of a few thousand events. Even with high triggering rates, classification can be done very quickly on graphical processing units, which is essential for selective voltage dumps or real-time VOEvents. We investigate whether dedispersion back ends could be replaced by a real-time DNN classifier. It is shown that a single forward propagation through a moderate convolutional network could be faster than brute-force dedispersion, but the low signal-to-noise per pixel makes such a classifier suboptimal for this problem. Real-time automated classification will prove useful for bright, unexpected signals, both now and when searchable parameter spaces outgrow our ability to manually inspect data, such as for the SKA and ngVLA.
TRADITIONAL GOVERNANCE IN THE GAMBIA: CHIEFTAINCY ROLE IN MODERN PARTY POLITICS

This paper examined traditional governance in pre-independence Gambia and discussed chieftaincy structures of traditional governance and their role in modern political decision making processes within the framework of party politics. The paper sought answers to key research questions of: what were the traditional roles of chieftaincy in governance. Do chieftaincy structures, which exist outside democratic governance structures in post independence Gambia, promote or retard democratization process of the country? What elements of traditional governance could be incorporated into modern democratic rule in the Gambia?
Using In-Process Metrics to Predict Defect Density in Haskell Programs

In late-stage phases of development, action to correct defects can be cost prohibitive. Effective, efficient, and expressive measures of reliability during the development cycle could aid developers by providing early warning signs of where the system might require modification or further testing. To this end, this paper presents a method for estimating defect density in a system using a suite of internal metrics for Haskell programs. A feasibility study of this method was conducted by analyzing the source code of seven released versions of the Glasgow Haskell Compiler. Further studies are being conducted to refine the metric suite and to examine the potential of the method.
The KBMT project : a case study in knowledge-based machine translation

1 Introduction 2 World Knowledge and Text Meaning 3 Syntactic Theory and Processing 4 Grammars in Analysis and Generation 5 Analysis Lexicons 6 Generation Lexicons 7 Source Text Analysis 8 Automatic and Interactive Augmentation 9 Target Text Generation A Annotated English-Japanese Trace B Annotated Japanese-English Trace C Running the Translation System
Coding and Aligning the English-Norwegian Parallel Corpus

The aim of the English-Norwegian Parallel Corpus (ENPC) project is to produce a computer corpus for use in contrastive analysis and translation studies. There will be a core corpus consisting of original texts and translations (Norwegian to English and English to Norwegian), and a supplementary corpus consisting of English and Norwegian texts matched by genre. As regards the structure of the corpus and the projected uses of the material, see Johansson and Hofland (1994). At present, we are at the stage of building up the core corpus. This paper will focus on the encoding of texts and on the development of our method of automatically aligning original and translated texts. These are both critical steps in building a corpus of this kind. The purpose of text encoding is to prepare the texts in such a way that they adequately reflect the source texts and are maximally useful for computational studies. The aim of the alignment program is to specify equivalent points in the original and the translation, so that corresponding sections of the texts can be easily retrieved. Alignment and encoding are closely connected, in that decisions at the encoding stage have important consequences for alignment.
EFFECT OF ANTI-BROWNING AGENTS ON QUALITY CHANGES OF LOQUAT (ERIOBOTRYA JAPONICA (THUNB.) LINDLEY) FRUIT AFTER HARVEST

In loquat fruit, browning is a major problem that reduces the shelf life. Study was conducted to evaluate the potential of citric acid (CA) and ascorbic acid (AA) as anti- browning agents during storage of loquat fruit. Loquat fruit was immersed for 2 min in solutions of 250 mg/l, 500 mg/l, 750 mg/l ascorbic acid (AA) and citric acid (CA) then placed in corrugated soft board cartons and stored at 4°C for a period of 10 weeks. Changes in browning index (BI), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), total phenolic content (TP), polyphenoloxidase (PPO) and free radical scavenging activity (FRSA) as affected by different treatments were studied. Ascorbic acid at higher concentrations was useful in maintaining the fruit quality than citric acid, while AA and CA at higher concentrations significantly reduced the browning.
Performance of coded OFDM with higher modulation schemes

Coded orthogonal frequency division multiplexing (COFDM) is a robust technique in fading environments. In this paper, higher modulation schemes are considered with OFDM for a Rician fading channel. Here, convolutional coding (CC) and trellis coded modulation (TCM) are combined with OFDM. Bit error rate (BER) performances are analyzed with L and Ka frequency bands. Trellis coded OFDM (TCM-OFDM) gives a better performance compared to convolutional coded OFDM (CC-OFDM) with a lower trellis complexity. And also the performance does not depend significantly on the frequency band.
Bayesian Object Identification : Variants

We present a Bayesian theory of object identification. Here, identifying an object means selecting a particular observation from a group of observations (variants), this observation (the regular variant) being characterized by a distributional model. In this sense, object identification means assigning a given model to one of several observations. Often, it is the statistical model of the regular variant, only, that is known. We study an estimator which relies essentially on this model and not on the characteristics of the ‘‘irregular’’ variants. In particular, we investigate under what conditions this variant selector is optimal. It turns out that there is a close relationship with exchangeability and Markovian reversibility. We finally apply our theory to the case of irregular variants generated from the regular variant by a Gaussian linear model. © 2001 Elsevier Science AMS 1991 Subject Classifications: 62C10; 62H30.
AC 2011-2058: EXPERIENTIAL LEARNING TO SUPPORT AN INNOVA- TION DISPOSITION WITHIN ENGINEERING EDUCATION

Amy C. Bradshaw is an Associate Professor of Instructional Psychology & Technology at the University of Oklahoma. Her scholarly interests include visuals and visual communication for learning and instruction; complex problem solving; social and cultural implications of technologies; critical pedagogy; and educational philosophy. Current projects explore the overlaps (and gaps) between mental imagery, higher order thinking, and complex problem solving.
Population management for automatic design of algorithms through evolution

Describes a population-based search in the ADATE (Automatic Design of Algorithms Through Evolution) system, which maintains chains of gradually bigger and better programs. The main challenge is to avoid missing links that lead to entrapment in local optima. To avoid entrapment, the ADATE system employs iterative re-expansion of programs, population maintenance using a syntactic complexity/evaluation value-ordering scheme and three different diversification methods that strive to avoid too similar programs. When combined with general program transformations, these techniques enable ADATE to synthesize recursive programs with automatic construction of recursive help functions. We also briefly present experimental results supporting the proposition that the automatic synthesis of complex programs from "first principles" is indeed possible, but only if vast computational resources are employed effectively.
Waves in ferromagnetic media

Ferromagnetic media are inherently nonlinear and thus present many interesting features when studying wave propagation. Compared to “usual” dielectric media, effects such as nonreciprocity, hysteresis, and possibility of biasing the material by an external field appear. In very small specimens, such as nanosized particles, the typical self-ordering effects promote such things as spontaneously uniform magnetization and spin waves. In this contribution, we give a brief presentation of magnetic phenomena in the GHz range, and their application to electromagnetic waves, particularly absorbers.
Josquin's Rome: Hearing and Composing in the Sistine Chapel

Table of Contents Introduction Part I. Toward Josquin's Style Chapter 1. Methodological Minefields Chapter 2. An Obsessive Compositional Personality Part II. Surveying the Soundscape. The Cappella Sistina, ca. 1480-ca. 1500 Chapter 3. The Repertory Chapter 4. The Lingua Franca Chapter 5. A Maximalist Musical Mind: Marbrianus de Orto Part III. Josquin's Roman Music in Context Chapter 6. Super voces musicales and the L'homme arme Tradition Chapter 7. Intersections and Borrowings Appendix A. Music Copied into Cappella Sistina Manuscripts before ca. 1500 Appendix B. Contents of VatS 14 and 51 Appendix C. Related Repertories: VerBC 761, BarcOC 5, and VatSP B80 Appendix D. Three Anonymous Da pacem Motets Appendix E. Five Canonic Hymn Settings
Robust edge states induced by electron-phonon interaction in graphene nanoribbons

Fil: Calvo, Hernan Laureano. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Fisica Enrique Gaviola. Universidad Nacional de Cordoba. Instituto de Fisica Enrique Gaviola; Argentina. Universidad Nacional de Cordoba. Facultad de Matematica, Astronomia y Fisica; Argentina. Universidad Nacional de Rio Cuarto; Argentina
Profilo mutazionale degli oncogeni EGFR e KRAS in cellule di carcinoma broncogeno non-a-piccole cellule ottenute da Fine needle aspiration cytology (FNAC)

Cancer is a genetic disease and this concept has now been widely exploited by both biologists and clinicians to design new targeted therapeutical approaches. Indeed many data have already allowed us to ameliorate not only our knowledge about cancer onset, but also about patient treatment. Correlation between mutations in cancer alleles and drug response is a crucial point to identify drugs or drug combinations that match the genetic profile of individual tumors. On the other hand, experiences derived from receptor tyrosine kinases (RTKs) inhibition have pointed out that targeted treatment is really successful only in a small subset of tumors. The latter are eventually addicted to the genetic alterations responsible for receptors activation and continued expression of their signaling pathways. Therefore, switching off the oncogenic activity by specific inhibitors will trigger an “oncogenic shock” which eventually will lead tumor cell to die. Overall these observations provide a strong rationale for molecular-based diagnosis and cancer patients selection for targeted treatment. Understanding how the mutational status of oncogenic alleles affects sensibility or resistance to drugs represents the most potential strategy in identifying patients for effective personalized therapies. In consideration of the high incidence and the poor prognosis of affected patients, lung carcinoma has been considered and still identify major objective of the targeted therapeutic approach. Experiences derived from this disease, and mainly from non-small cell lung cancer (NSCLC), represent fundamental achievement of translational research. From this perspective, members of the EGFR signal transduction pathway play a key role in lung carcinogenesis and act as genetic markers predictive of response to anti-EGFR therapy. In unselected NSCLCs EGFR activating mutations are rarely present (10%); mutation frequency increases to over 50% in a restricted subset of NSCLC patients: East-Asian, women, non smokers, affected by ADC (mainly BAC variant). Moreover the incidence of EGFR mutations in NSCLCs increases up to 77% among EGFR TKIs responders, while it is 7% in unsensitive cases. This project aims to evaluate in a cohort of NSCLC patients the prevalence of activating mutations in EGFR and KRAS genes by analyzing tumor cells obtained through transthoracic biopsy by FNAC, which actually represents the most appropriate diagnostic tool for peripheral lesions, such as ADKs that actually account for 40% of NSCLC diagnosis. Validation of sequencing technology on tumor samples constituted by only few cells has two relevant implications. First it might allows routinary tumor molecular profiling as powerful integration of conventional histo-pathological diagnosis. Besides the clinical management of NSCLC will take advantages from the characterization of EGFR-KRAS mutational status in order to develop personalized and effective treatment strategies.
Mise au point Antibiothérapie et exacerbation des bronchopneumopathies chroniques obstructives Antibiotic therapy in acute exacerbations of chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is common and has an increasing worldwide prevalence. Patients with COPD may experience several acute exacerbations of their disease. These are usually treated by general practitioners, although severe exacerbations must lead to intensive care. The most commonly used definition of an acute exacerbation of COPD is a subjective increase of dyspnea, sputum volume and/or purulence, according to Anthonisen’s criteria. Although the role of infection in exacerbation of COPD remains controversial and incompletely understood, there is an increasing evidence that patients with severe episodes such as those requiring mechanical ventilation and those with at least two of the three cardinal symptoms of exacerbation should undergo antibiotic therapy. Stratification of patients into risk categories can identify high-risk patients and allow targeted antimicrobial therapy, particularly at resistant organisms. Haemophilus influenzae, Streptococcus pneumoniae, and Moraxella catarrhalis are the predominant organisms in patients with mild to moderate comorbidity and impairment of lung function. In this group of patients resistance to ß-lactams antibiotics such as ampicillin is high and treatment with antibiotics such as amoxicillin-clavulanic acid, or second generation macrolide, or new quinolones are expected to be cost-effective. In older patients with severe comorbidity and poor underlying lung function, beside the usual respiratory organisms, other Gram-negative organisms, including Enterobacteriaceae and Pseudomoans species, are frequent. For this group, quinolones such as * Auteur correspondant. Adresse e-mail : Semir.nouira@rns.tn (S. Nouira). Réanimation 12 (2003) 46–52 www.elsevier. com/locate/reaurg © 2003 Éditions scientifiques et médicales Elsevier SAS. Tous droits réservés. PII: S 1 6 2 4 0 6 9 3 ( 0 2 ) 0 0 0 0 8 7 cirpofloxacin are probably the most suitable agents. In the future, we will need more prospective studies to corroborate and validate the current guidelines, in order to select patients who will really benefit from antibiotherapy and to determine if new antibiotics have significant clinical and economic advantages over standard ones. © 2003 Éditions scientifiques et médicales Elsevier SAS. All rights reserved. Mots clés : Bronchopneumopathie chronique obstructive ; Exacerbation ; Antibiotiques
Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects

We propose a quasi-likelihood nonlinear model with random effects, which is a hybrid extension of quasi-likelihood nonlinear models and generalized linear mixed models. It includes a wide class of existing models as examples. A novel penalized quasi-likelihood estimation method is introduced. Based on the Laplace approximation and a penalized quasi-likelihood displacement, local influence of minor perturbations on the data set is investigated for the proposed model. Four concrete perturbation schemes are considered in the local influence analysis. The effectiveness of the proposed methodology is illustrated by some numerical examinations on a pharmacokinetics dataset.
Provision of streaming media services over mobile networks

The 3G family of mobile communication standards specifications describe a streaming media service class designed for the provision of non-delay critical multimedia services. This paper describes the performance of streaming audio and video services over EGPRS (Enhanced General Packet Radio Service) networks under different network and channel conditions. Enhancements to the EGPRS radio link control mechanisms are proposed, and the resulting quality improvements of the received media streams are examined.
Comparison of Mangalica and Hungarian Large White pigs at identical bodyweight: 2. Fatty acid regiodistribution analysis of the triacylglycerols

Abstract. At identical bodyweight values (130 kg) Mangalica and Hungarian Large White tissue (liver, kidney, heart and skeletal muscle, adipose tissue, spleen and lung) triacylglycerol (TAG) fatty acid distribution analysis was performed, to describe tissue types and possible genotype-associated differences. Tissue TAG was partially hydrolyzed with hog pancreatic lipase, and the fatty acid profile of 2-monoacylglycerols (2MAG) and TAGs was analyzed by gas-chromatography. All extrahepatic tissues provided marked central (sn-2) saturated fatty acid (SFA) (mostly palmitate) recruitment, while liver 2MAGs were mainly aclylated by unsaturated fatty acids (UFA). Inter-genotype differences were minor: in adipose tissue in Mangalica the total palmitate moiety was found in the 2MAGs, while in the liver docosapentaenoic and docosahexaenoic acids were only found in the Mangalica 2MAGs. In conclusion, the direct analysis results of the 2MAGs in six extrahepatic organs and in the liver provided evidence that the building-up of the characteristic porcine TAG structure is located at a post-hepatic site, being true for most of the organs in the pig body.
Modeling the relationships between customer participation and customer loyalty: The role of relationship benefits

Customers are playing an increasingly active role in the service industry and the importance of their participation is gradually been recognized. This study aims to develop and test a model for investigating, how customer participation enhances relationship benefits that help in winning customer loyalty. Using a self-administered questionnaire survey, 400 respondents from personal training industry were used for this study. The results show that customer participation has an indirect effect on custom loyalty via relationship benefits. In addition, customer participation also has direct influence and indirect influence via customer-employee relationships and customer-firm relationships respectively on relationship benefits. The results also reveal that loyalty to employee has significant and positive effect on loyalty to firm as well. These findings help firms to have a better understanding of customer participation, develop competitive strategies that differentiate them from competitors and win customer loyalty in an aggressive market. Key words: Customer participation, customer-employee relationships, customer-firm relationships, relationship benefits, customer loyalty.
The effect of mind tools in mathematic infusion web-enhanced project-based learning

Web-enhanced Project-Based Learning (WPBL) that emphasized on reality, diversification, comprehension, and technology-integration is a new learning trend conforming to mathematic education revolution. The purpose of this study was to discuss benefits of using Mindtools in project-based learning, including dynamic geometry (Geometer Sketchpad, GSP) and concept mapping. Sixty-two sixth-grade students of elementary schools in Tainan and Kaohsiung were selected for experimental instruction. The samples participated in infusion web-enhanced project-based learning to learn the symmetrical unit of space graph. This paper describes the dynamic progress of students learning and appraises the achievement of each group on concept mapping and dynamic geometry (GSP) in quantification. In a word, each group could present their ideas clear by using concept mapping in project plans drafted by themselves. They could also show their designs specifically in GSP. Study assignments of eight groups in concept mapping and GSP during the primary stage, middle stage and later stage all had obvious improvements following projects progression. It showed that the suitable system anchored instruction plan could help and develop students in using Mindtools to assist learning mathematic concepts, and then showed conspicuous progresses in project results. Pre-project learning experiences of students also affected the intermediary effect of two Mindtools. Approximately, groups with abundant experiences could present concepts clearer and be more plentiful in using concept mapping. Their presents were more mathematical, accurate, rich, creative, and adventurous than those of new learner groups. Exceeding researchers' expectancy, students had more active attitude and originality in products. It showed that Mindtools had positive potential in project-based learning application. This study also addressed difficulties of teachers and proposed practical suggestions for infusion WPBL.
The Human Resources Business Partner

o To work closely with the HR business partners to ensure an excellent HR service is delivered throughout, business partnering is working effectively and a consistent approach is taken o Provide high level employee relations advice, support and guidance to line managers o To work closely with business segments to ensure consultation processes are carried out correctly and in a timely manner o To work strategically and operationally with business segments in a business partnering capacity to ensure HR support is provided to enable them to meet their aims and objectives o Ensure implementation of HR initiatives within the business groups and provide proactive support and advice o To ensure business groups and the HR team fully utilise the E-HR system and it is implemented and delivered in a timely manner o Contribute to providing timely TUPE advice/information and other associated TUPE activities o Contribute to the business by providing timely support and information for tender processes o Contribute to the development and maintenance of policies and procedures o To undertake project work as specified by the Director of HR in line with the HR strategy and Business Plan o Take the lead in areas of HR specialisms as specified by the Director of HR o Contribute to the monthly, quarterly and ad-hoc HR and business reporting processes Line manage the HR Advisor for the region and provide overall support, guidance and direction for them in delivering an effective, efficient, proactive, HR service within the region and as part of the HR Business Partner team as a whole.