Miracle-dz/UniFAR-FTUs huggingface dataset:
An Overview of the Eye in Diabetes

because the National Service Framework for Diabetes calls for a high-quality retinal screening programme. After a review of the various ophthalmic conditions likely to be encountered in diabetic patients (A Negi, S A Vernon) we proceed to the most important, diabetic retinopathy, with a discussion of screening methods (D M Squirrell, J F Talbot) and an account of laser treatments (J G F Dowler). Colour versions of the clinical photographs are available online [www.jrsm. org]. Publication was coordinated by Professor Susan Lightman, of Moorfields Eye Hospital, London, UK.
Identification of Cis-DNA Regions Controlling Bmp4 Expression during Tooth Morphogenesis in vivo

Epithelial-mesenchymal interactions are required for tooth formation. Bone morphogenetic protein 4 (Bmp4) is a crucial signaling molecule during this process. For better understanding of the role of the Bmp4 gene during tooth development, we studied the mechanisms that control its temporal and spatial expression during development. Using a transgenic approach, we determined that the domains which controlled Bmp4 expression in epithelium-derived ameloblasts were located in the region between 0.26 kb and 1.1 kb of the murine Bmp4 promoter. In contrast, the domains controlling Bmp4 expression in mesenchymederived odontoblasts and pulp cells existed in other regions of the Bmp4 gene. We have also demonstrated that the domains controlling Bmp4 expression in primordial tooth cells differ from those controlling Bmp4 expression in mature tooth tissues. The determination of unique domains by controlling the expression of the Bmp4 gene suggests that di fferent transcriptional factors regulate the Bmp4 level at different stages during tooth morphogenesis.
Detection of Likelihood Topics Trends on Internet

Discovery of likelihood topics becomes more interested in the rapid growth of social networking sites. The information exchanged in the social networking site’s post involve not only the text contents, but also images, URL’s and video hence conventional-termfrequency-based approaches may not be appropriate in this context. Emergence of topics is mainly focused by the social aspects of these networks. In this paper we propose a novel method where the user tweets are analyzed by the probabilistic function. We propose joint probabilistic based probability calculation of user tweets, re-tweets and mentions. The proposed algorithm outperforms the traditional key based method in terms of start and end time calculation of tweets with particular hashtag. Keywords— Topic detection, Social Networks, Anomaly detection, Burst Detection.
A Study on Tube and Flange Joint of Car Propeller Shaft Made of Carbon Composite Fiber

In this study, a method is proposed which processes the flange and the flange which connects the carbon fiber tube to a concave-convex structure, and carbon composite tube is inserted into the concave-convex portion of the flange to bond it with an adhesive. To test the bonding strength of the safety of the proposed propeller shaft, a carbon fiber propeller shaft that is attached with the existing two types of flange was manufactured. The stress analysis was executed using finite element method and the result shows the carbon fiber propeller shaft that uses proposed flanges had the minimum stress value to the adhesive part. Also by comparing the torsion strength test results, the proposed carbon fiber propeller shaft shows superior value to the value of the existing types of carbon fiber propeller shaft. Plus, the maximum transmission torque of the proposed carbon fiber propeller shaft is 88 greater than the maximum power transmission torque design value of 350 for steel propeller shafts applied to automobiles. In conclusion, the method proposed in this study will contribute to the manufacture and junction of carbon fiber propeller shaft flange and tube by meeting the standard values of the conventional steel propeller shaft’s maximum power transmission torque
A Method to Separate Musical Percussive Sounds using Chroma Spectral Flatness

This paper presents an unsupervised Non-Negative Matrix Factorization (NMF) approach to extract percussive sounds from monaural music signals. Due to unconstrained NMF cannot discriminate between percussive, harmonic or singing-voice components in the decomposition process, we propose a novel method to extract percussive sounds based on the anisotropic smoothness of percussive chroma. Thus, percussive sounds can be discriminate because chroma from percussive sounds clearly draws lines along the chroma. Under a NMF framework, a timedomain signal related to a component is labelled as percussive is the energy distribution of its chroma is approximately flat. This proposal does not require information about the number of active sound sources neither prior knowledge about the instruments nor supervised training to classify the bases. Real-world audio mixtures composed of Harmonic/Percussive and Harmonic/Percussive/Singing-voice sounds were evaluated. Experimental results showed that the proposal was effective compared to state-of-the-art methods. An interesting advantage of the proposal is that it can remove most of the singing-voice components from the extracted percussive signals. Keywords–Non-negative matrix factorization; Sound source separation; monaural; percussive; chroma; spectral flatness; distortion;
Precision measurement of the top-quark mass from dilepton events at CDF II

We report a measurement of the top quark mass, M{sub t}, in the dilepton decay channel of t{bar t} {yields} b{ell}{prime}{sup +} {nu}{sub {ell}}, {bar b}{ell}{sup -}{bar {nu}}{sub {ell}} using an integrated luminosity of 1.0 fb{sup -1} of p{bar p} collisions collected with the CDF II detector. We apply a method that convolutes a leading-order matrix element with detector resolution functions to form event-by-event likelihoods; we have enhanced the leading-order description to describe the effects of initial-state radiation. The joint likelihood is the product of the likelihoods from 78 candidate events in this sample, which yields a measurement of M{sub t} = 164.5 {+-} 3.9(stat.) {+-} 3.9(syst.) GeV/c{sup 2}, the most precise measurement of M{sub t} in the dilepton channel.
COUPLING N SINGLE-PHOTON EMITTERS TO A SINGLE CAVITY MODE

A system of two-level atoms in a cavity is discussed. First, the Jaynes-Cummings model is discussed of which the concepts are then ported to a system of multiple two-level atoms. Especially the case of two level atoms is studied in more detail. This model of two atoms is then considered in a leaking cavity to see how it behaves in an open system. This open system is simulated in different ways. Finally the coherent evolution of the cavity and emitted photon is discussed. This is done to examine if the distance of an observing detector to the cavity has an effect on the evolution of the cavity itself.
Support Tensor Machine Image Classification Algorithm Based on Tensor Principal Component Analysis

To allow rapidly and accurately support tensor machine (STM) image classi-ﬁcation, we developed an algorithm based on tensor principal component analysis (TPCA). This STM image classiﬁcation algorithm based on TPCA was speciﬁcally developed for gait recognition. In our system, the STM processes the gait image as a data cube and then identiﬁes the information classes in tensor space. TPCA is used for preprocessing to reduce the tensorial data redundancy and to maintain the tensorial structure information in high-order subspace. The algorithm steps are as follows: Firstly, third-order tensor image features are constructed based on the structural information of the data. Second, TPCA is used for feature extraction. Finally, STM classiﬁer is used to directly classify the image. The experiments show that the proposed algorithm can not only improve the accuracy of image classiﬁcation but also reduce the required computational time of the STM.
A Novel Modeling Method of “Jyoruri” Doll by Using Industrial CT Image Device and 3D Printer

In this paper, we propose a novel method that generates a precise replica model, which can be built by using an ordinary 3D printer. We utilize an industry CT (Computed Tomography) image device in order to measure the inside/outside of the doll, and model the doll shape and mechanism by using iso-surface and offset-surface generation techniques from CT images. Our approach has applied for reconstruction of “Jyoruri” doll, which is an old doll at the age of “Edo” period, and we have performed a revival concert of Japanese puppet show by using the replica dolls.
Monash University’s Submissions to the WNGT 2019 Document Translation Task

We describe the work of Monash University for the shared task of Rotowire document translation organised by the 3rd Workshop on Neural Generation and Translation (WNGT 2019). We submitted systems for both directions of the English-German language pair. Our main focus is on employing an established document-level neural machine translation model for this task. We achieve a BLEU score of 39.83 (41.46 BLEU per WNGT evaluation) for En-De and 45.06 (47.39 BLEU per WNGT evaluation) for De-En translation directions on the Rotowire test set. All experiments conducted in the process are also described.
Applicability of Apriori Based Association Rules on Medical Data

With the growing demand of medical data processing and predictive analysis, finding the frequent itemset and association rules are becoming the major focus of the research. The association rule based analysis helps the researchers and analysts to identify the relations and dependencies between various parameters in the dataset. This knowledge can be useful in identifying the cause of the disease for the patient. Voluminous amount of researches are been conducted in order to establish the best association rule mining algorithm similar to Apriori algorithm. Nevertheless, the improvements can be demonstrated. Hence, this work proposes an Apriori association rule discovery based technique and demonstrate the improvements over the existing research methods. Another significant outcome of this work is to establish the relationships between the healthcare parameters with the heart disease symptoms. The work is targeted to improve the precaution measures for the patients in order to save the precious human life.
Detonation Propagation in a Linear Representation of a Rotating Detonation Engine

In recent years, there has been a dramatic increase in research interest concerning Rotating Detonation Engines (RDEs). The detonation mode of combustion offers the potential for high thermal efficiency and power-to-weight ratio [1]. In a RDE, the fuel and oxidizer are injected into an annular combustion chamber through the baseplate. A detonation wave is initiated in a pre-detonator and then transmitted into the combustion chamber where it propagates continuously around the base of the annulus. The high pressure behind the detonation front is significantly larger than the intake pressure, and as a result, the fuel and oxidizer mass flow is arrested. As the products expand behind the detonation wave, the local pressure across the base-plate is reversed and fresh reactants flow into the annulus is re-established just ahead of the detonation wave. Many research groups have constructed RDE prototypes to investigate the effect of fuel and oxidizer injector configuration and combustion chamber parameters on the cycle frequency and detonation wave structure [2], [3], [4].
Thermo-responsive Fluorescent Nanoparticles for Multimodal Imaging and Treatment of Cancers

Theranostic systems capable of delivering imaging and therapeutic agents at a specific target are the focus of intense research efforts in drug delivery. To overcome non-degradability and toxicity concerns of conventional theranostic systems, we formulated a novel thermo-responsive fluorescent polymer (TFP) and conjugated it on the surface of iron oxide magnetic nanoparticles (MNPs) for imaging and therapeutic applications in solid tumors. Methods: TFP-MNPs were synthesized by copolymerizing poly(N-isopropylacrylamide), allylamine and a biodegradable photoluminescent polymer, and conjugating it on MNPs via a free radical polymerization reaction. Physicochemical properties of the nanoparticles were characterized using Fourier transform infrared spectroscopy, dynamic light scattering, and vibrational sample magnetometry. Nanoparticle cytocompatibility, cellular uptake and cytotoxicity were evaluated using in vitro cell assays. Finally, in vivo imaging and therapeutic efficacy studies were performed in subcutaneous tumor xenograft mouse models. Results: TFP-MNPs of ~135 nm diameter and -31 mV ζ potential maintained colloidal stability and superparamagnetic properties. The TFP shell was thermo-responsive, fluorescent, degradable, and released doxorubicin in response to temperature changes. In vitro cell studies showed that TFP-MNPs were compatible to human dermal fibroblasts and prostate epithelial cells. These nanoparticles were also taken up by prostate and skin cancer cells in a dose-dependent manner and exhibited enhanced killing of tumor cells at 41°C. Preliminary in vivo studies showed theranostic capabilities of the nanoparticles with bright fluorescence, MRI signal, and therapeutic efficacy under magnetic targeting after systemic administration in tumor bearing mice. Conclusion: These results indicate the potential of TFP-MNPs as multifunctional theranostic nanoparticles for various biological applications, including solid cancer management.
The Potential of utilizing Near Infrared Spectrum for fire detection

Traditional fire detection in buildings usually uses heat detectors, smoke detectors, carbon monoxide or combined multi-sensor detectors. Those types of fire detection notoriously suffer from very slow response and high rate of false alarm. The advancement of machine learning in recent years has offered a new promising approach to develop fire detection systems. However, most vision-based fire detection algorithms are developed with features extracted from visible spectrum, which can be easily tricked by artificial fire, art work, advertising posters, etc. With IR cameras operating within selected NIR spectrum (850 to 1100nm), only real fire is observed because of high temperature IR emission. Moreover, based on experimental observations, the use of NIR imager greatly simplifies region-of-interest extraction, which is notedly a challenge for objection detection algorithms. This paper presents the potential use of NIR spectrum for fire detection regarding these two aspects.
Traitements précoces et tardifs des douleurs neuropathiques et β2-agonistes : études thérapeutiques précliniques et cliniques

Les douleurs neuropathiques sont secondaires a une maladie ou a une lesion affectant le systeme nerveux somatosensoriel et sont mal soulagees par les antalgiques usuels. Dans notre travail preclinique, nous avons etudie l’effet de differentes molecules, dont des antidepresseurs et antiepileptiques recommandes dans le traitement des douleurs neuropathiques. Dans un modele murin de neuropathie traumatique, nous avons etudie l’influence de la periode de traitement, precoce ou tardif, sur l’allodynie mecanique. Un traitement precoce par gabapentine ou par carbamazepine permet d’observer un effet preventif sur la chronicisation de l’allodynie. Dans un modele murin de neuropathie diabetique, nous avons caracterise l’action anti-allodynique d’un traitement par nortriptyline et par terbutaline. En clinique, nous avons realise un travail d’enquete retrospective sur des patients operes par thoracotomie. L’analyse des resultats montre une diminution significative du risque de presenter des douleurs chroniques avec des caracteristiques neuropathiques chez les patients traites par β2-agonistes au long cours.
A Proactive Component for a Fast Emergency Paths Schema to Bypass Failures in IP Networks

The increase of the Internet dependency to support general services and real time services has generated a need for a more reliable IP network. In case of transient failures, the routing protocols are not as effective in obtaining a new route, since they take several seconds to converge. During this time, instability occurs of wrong packet forwarding process, causing high packet loss rates and thus compromising the quality of network reliability. This study proposes a proactive calculation approach for emergency paths to be available in case of transient failures, which would generate few changes in the functioning of the IP routing algorithm. Such an approach makes these paths available directly on the router’s forwarding information base to be promptly utilized as soon as a failure is detected, allowing for reduction of packet losses.
Memory-based Probabilistic Amplification of Coherent states

We analytically show that probabilistic amplification of a weak coherent state stored inside an atomic medium can be achieved via detection of coherently scattered photons. We show that this is because of collective excitations created among atoms in the ensemble. We describe the physics of the amplification and identify the failure events, which occur during the amplification process. The amplification is realized by coherently mapping a weak coherent state in an ensemble of Λ-level atoms followed by detection of multiple Raman scattered photons, conditionally projecting the coherent state into an amplified state upon retrieval. © 2019 Optical Society of America
A Steganography Telecom System using a Chua Circuit Chaotic Noise Generator for data cryptography

This paper models an image steganography telecom system based on a Chua circuit chaotic noise generator. An unpredictable chaotic system based on a Master – Slave Chua circuit has been used as a random number generator. The whole system is modeled and simulated in Simulink. A continuous linear controller has been used to synchronize the two Chua circuits, with the same parameters at both the transmitter and the receiver. On the receiver side, usage of the same parameters with the Master circuit produce a similar chaotic signal via the Slave Chua circuit, synchronized to the Master by an analog controller, in order to produce the same noise (random sequence) as that of the Master circuit. After removing the noise from the received ciphertext, the original message is revealed. The proposed system presents advanced security features.
CANADIAN FOREST GENETICS ASSOCIATION ASSOCIATION CANADIENNE DE GÉNÉTIQUE FORESTIÈRE Tree Seed Working Group

Working Group News Bulletin. From its humble beginnings in 1983 (referred to as the ‘fledgling TSWG’ in Newsbulletin #1) there certainly has been growth as the News Bulletin now reaches over 250 people worldwide. What is probably more amazing is that this group has persisted that long. This can partly be attributed to the importance of our subject, but mostly reflects on the dedication of the chairpersons, editors, and contributors to the topic of tree seed. Thank you to everyone who has contributed to our working group and its Newsbulletin. It seems like I’ve been under a deluge of 50 celebrations with the BC th
Experiments with ad hoc ambiguous abbreviation expansion

The paper addresses experiments to expand ad hoc ambiguous abbreviations in medical notes on the basis of morphologically annotated texts, without using additional domain resources. We work on Polish data but the described approaches can be used for other languages too. We test two methods to select candidates for word abbreviation expansions. The first one automatically selects all words in text which might be an expansion of an abbreviation according to the language rules. The second method uses clustering of abbreviation occurrences to select representative elements which are manually annotated to determine lists of potential expansions. We then train a classifier to assign expansions to abbreviations based on three training sets: automatically obtained, consisting of manual annotation, and concatenation of the two previous ones. The results obtained for the manually annotated training data significantly outperform automatically obtained training data. Adding the automatically obtained training data to the manually annotated data improves the results, in particular for less frequent abbreviations. In this context the proposed a priori data driven selection of possible extensions turned out to be crucial.
Agrobacterium Mediated Transfer of Bacillus thuringiensis Strain 6e Cry Gene to Ixora odorata var. Vulcan: A Comparison of Tissues

Ixora species are popular among landscape architects and gardeners as hedge plants and potted ornamentals. However, infestations by pests such as Ixora leaf webber, flower webber, green horned caterpillar and looper caterpillar have become a problem to the commercial exporters. Most chemical pest control methods adopted have hazardous effects on the environment and other beneficial insects and therefore, are unpopular among the buyers. As an alternative, Ixora odorata var. Vulcan was transformed with the cry gene of Bacillus thuringiensis (Bt) strain 6e by Agrobacterium mediated gene transfer. Leaf discs, four month old calli and in vitro grown I. odorata shoot tips (2 cm) were co-cultivated with LBA4404, harboring the Bt 6e cry cloned binary vector pLG121Hm. Co-cultivated shoot tips were transferred to the shoot multiplication medium (1⁄2 MS with 2 mg/L Benzyl Aminopurine (BAP) and 500 mg/L cefotaxime) and incubated at 2500 lux with a 16 hrs photoperiod. After four weeks, the axillary shoots were screened on 1⁄2 MS supplemented with 200 mg/L hygromycin. Hygromycin positive plants were used for the Polymerase Chain Reaction (PCR) analysis and Southern blot analysis. PCR analysis of the putative transformants, carried out with Gus specific primers, produced the expected 1.68 kb fragment in all the hygromycin positive transformants. Southern blot analysis of these with the Dig labeled Bt 6e cry probe produced positive results. The positive results obtained from the PCR analysis and the Southern blot confirmed genomic integration of the Bt 6e cry gene. The transformation efficiency of shoot tips was 10% whereas it was 25% and 20% respectively for callus and leaf disks transformation.
Analog modeling of detonation in a periodic medium

Wave propagation in heterogeneous media is associated with a number of complex phenomena that have received considerable attention in the past. Most of the existing research is concerned with linear waves, and that already poses substantial theoretical and numerical challenges. Understanding shock and detonation waves in heterogeneous media is also of interest [4, 5]. The heterogenous medium in prior studies usually consisted of layers or random packings of discrete components. For the sake of simplicity, in this work we consider a medium with properties varying smoothly in a spatially periodic fashion, and analyze detonation in such a medium employing an analog model. Our main question is: How are intrinsic instabilities of detonation, that exist even in the absence of heterogeneity, influenced by the periodic variations of properties of the reactive medium?