Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTIMICROBIAL EFFECTS OF PHYLLANTHUS EMBLICA EXTRACT AND MORINGA OLIEFERA EXTRACT ON SPECIFIC PERIODONTOPATHOGENS - AN IN VITRO STUDY

Context: Periodontitis is a multifactorial inflammatory disease characterized by progressive destruction of the tooth-supporting structures. Although conventional antimicrobial therapy using antibiotics is an established treatment mode, the emergence of microbial resistance and side effects, has made to look for new antimicrobial substances of alternate sources like herbal plants orign. Aim: The present study was undertaken to evaluate and compare the antimicrobial effects of Phyllanthus emblica and Moringa oliefera extract on periodontopathogens like Aggregatebacter actinomycetemcomitans (Aa), Porphyromonas gingivalis(Pg), Prevotella intermedia(Pi) and Fusobacterium nucleatum(Fn) Material and methods: Subgingival plaque samples were collected from patients with chronic periodontitis, cultivated, and incubated anaerobically as per the standard procedure. The subcultured strains of Aa, Pg, Pi and Fn are tested with the prepared extracts of Phyllanthus emblica and Moringa oliefera in 5 different concentrations (75µl, 50 µl, 25 µl, 10 µl and 5 µl) by disc diffusion method and Minimum inhibition concentration (MIC) of each extract is evaluated by using tube dilution test.
Remote estimation of target height using unmanned air vehicles (UAVs)

estimation of target height from videos is used for several applications, such as 9 monitoring agricultural plants growth or, within surveillance scenarios, supporting the 10 identification of persons of interest. Several studies have been conducted in this domain but, in 11 almost all the cases, only fixed cameras were considered. Nowadays, lightweight UAVs are often 12 employed for remote monitoring and surveillance activities due to their mobility capacity and 13 freedom for camera orientation. This paper focuses on how the height could be swiftly performed 14 with a gimballed camera installed into a UAV using a pinhole camera model after camera 15 calibration and image distortion compensation. The model is tailored for UAV applications 16 outdoor and generalized for any camera orientations defined by Euler angles. The procedure was 17 tested with real data collected with a regular-market lightweight quad-copter. The data collected 18 was also used to make an uncertainty analysis associated with the estimation. Finally, since the 19 height of a person who is not standing perfectly vertical can be derived by relationships between 20 body parts or human face features ratio, this paper proposes to retrieve the pixel spacing measured 21 along the vertical target, called here Vertical Sample Distance (VSD), to quickly measure vertical 22 sub-portions of the target. 23
Outcomes and complications of diaphyseal humeral fractures treated by plating

Lawrence Yoon Yaw Tee (lawrenceyytee at gmail dot com) #, Cameron Gosling, Melissa Hart, Belinda Gabbe, Martin Donald Richardson, Richard Page, Elton Edwards 1 Royal Melbourne Hospital, Victoria Australia. 2 Epidemiology and Preventative Medicine, The Alfred Hospital, Victoria Australia. 3 Royal Melbourne Hospital, University of Melbourne, Victoria Australia. 4 Barwon Health, Deakin University, Victoria Australia. 5 The Alfred Hospital, Victoria Australia # : corresponding author DOI http://dx.doi. org/10.13070/rs.en. 1.967 Date 2014-07-21 Cite as Research 2014;1:967 License CC-BY Abstract Background Plating is commonly used in surgical fixation of mid-shaft humeral fractures. The literature lacks detail regarding plating complications or screw-plate fixation factors that may impact upon plating outcomes. This study aims to evaluate the outcomes of humeral shaft fractures treated by plating in two major trauma centres and to examine screw-plate fixation factors that may impact upon clinical outcome. Materials and methods Patients enrolled in the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR) between 2003 and 2008 were identified. X-rays were reviewed independently by three orthopaedic surgeons to determine radiological union and fixation. Screw-plate implant details and post-operative clinical outcomes including loss of fixation and reoperation rate were evaluated. Health-related quality of life measures (SF-12) were assessed at 6 and 12-months post-injury. Results 103 patients (male n=72, female n=31; mean age 36.9 years) were identified. There were 25 complications in 22 patients with loss of fixation (n=7), superficial infection (n=5), deep infection (n=4) and non-union (n=4) being the most common. 13 patients required further surgical interventions. Screw placements on both sides of the fracture were evaluated; when at least 4 screws were placed on both sides of the fracture, there was no loss of fixation (p= 0.04). Median time to union was 22 weeks. At 12 months post injury, SF-12 scores were significantly below population norms. Conclusions There was a high incidence of post-operative complications following plating of humeral shaft fractures in this multi-trauma patient population. Our results indicate reduced rates of loss of fixation for having ≥4 screws on both sides of the fracture.
5-Fluoro-2-methyl-3-(3-methylphenylsulfonyl)-1-benzofuran

In the title compound, C16H13FO3S, the dihedral angle between the mean planes of the benzofuran ring system and the 3-methylphenyl ring is 80.96 (4)°. In the crystal, molecules are linked via pairs of π–π interactions between furan and benzene rings, with centroid–centroid distances of 3.758 (1) and 3.771 (1) Å. A similar interaction is found between furan rings, with a centroid–centroid distance of 3.661 (1) Å between neighbouring molecules. The molecules stack along the a-axis direction. In addition, C—H⋯O and C—H⋯π hydrogen bonds are observed between inversion-related dimers.
Adaptación al español y validez diagnóstica de la Yale Global Tics Severity Scale

Introduccion. El instrumento de medida habitualmente utilizado para valorar la gravedad clinica del sindrome de Tourette es la Yale Global Tics Severity Scale (YGTSS), originariamente escrita en ingles, y no existe una version validada en espanol que permita su aplicacion directa a los pacientes hispanohablantes. Objetivo. Analizar las propiedades psicometricas de la version de la YGTSS, traducida al espanol, y su sensibilidad para medir cambios, como instrumento para cuantificar la evolucion en pacientes con sindrome de Tourette. Pacientes y metodos. El analisis versa sobre la validez del concepto (analisis factorial de componentes principales), consistencia interna (alfa de Cronbach), fiabilidad intraobservadores (coeficiente de correlacion intraclase) y sensibilidad al cambio (test de rangos de Wilcoxon). Resultados. El analisis factorial confirmo la existencia de dos dimensiones en la escala, que explican el 76,3% de la variabilidad. La consistencia interna fue de 0,997 para la dimension tics motores, y de 0,996 para la dimension tics fonicos. La fiabilidad intraobservadores fue igual o superior a 0,95, tanto en los 10 items referidos a los tics (motores y fonicos) como en el item de discapacidad. En las puntuaciones globales de tics motores, tics fonicos y discapacidad, hubo diferencias estadisticamente significativas entre la media de puntuacion entre la primera entrevista (entrada en el estudio) y la segunda entrevista (a los 15 dias de tratamiento). Conclusiones. La adaptacion efectuada al espanol de la YGTSS cumple adecuadamente las tres propiedades psicometricas en nuestra poblacion de estudio. La validez y fiabilidad es mayor en las dimensiones de tics motores y fonicos que en la discapacidad.
Comparison Of Cellular Video Quality For Object Detection Using Neural Network Convolution

Abstract— The purpose of this study is to compare the video quality between the Samsung HP camera and the Xiaomi HP camera. The object of study was UNPRI students who walked through the front yard of the UNPRI SEKIP campus. Here we test how accurate the camera's HP capture capacity is used to take the video. The method used to test this research is the Convolution Neural Network method. Object detection and recognition aim to detect and classify objects that can be applied to various fields such as face, human, pedestrian, vehicle detection (Pedoeem & Huang, 2018), besides the ability to find, identify, track and stabilize objects in various poses and important backgrounds in many real-time video applications. Object detection, tracking, alignment and stabilization have become very interesting fields of research in the vision and recognition of computer patterns due to the challenging nature of several slightly different objects such as object detection, where the algorithm must be precise enough to identify, track and center an object from the others
PHASE II TRIAL OF RECOMBINANT INTERFERON-ALPHA 2B IN PATIENTS WITH ADVANCED INTRACTABLE MULTIDRUG-RESISTANT PULMONARY TUBERCULOSIS: LONG TERM FOLLOW-UP

CADRE : Tuberculose a germes multiresistants chez des patients seronegatifs pour le virus de l'immunodeficience humaine (VIH) et porteurs de Mycobacterium tuberculosis resistant a presque tous les medicaments disponibles. OBJECTIF : Essai limite de phase Il au moyen d'interferon-α2b recombinant chez 5 patients atteints d'une tuberculose incurable, chronique, a germes multiresistants. METHODES: Administration sous-cutanee hebdomadaire pendant 12 semaines de 3 000 000 unites de r-IFN-α2b. Examen clinique et radiologique avant et apres traitement, ainsi que pendant un suivi de 30 mois en association avec des tests de laboratoire en matiere bacteriologique, immunologique et de routine. RESULTATS: Chez deux des cinq patients, la bacilloscopie et la culture sont devenues negatives a long terme, apres le traitement a base de r-IFN-α2b. Chez un des patients, on a note une amelioration clinique et une bacilloscopie negative apres traitement, mais la culture est restee positive. Chez deux autres patients, aucun resultat n'a ete obtenu. CONCLUSION: Les resultats de cet essai suggerent qu'il y a lieu de poursuivre l'evaluation de r-IFN-α2b dans la tuberculose a germes multiresistants dans le cadre d'essais prospectifs controles.
The Effectiveness of Social Media and Multimedia-Based Pedagogy in Enhancing Creativity among Art, Design, and Digital Media Students

Rapidly growing technological advances in big data, cloud computing, social media, artificial intelligence, virtual reality and digital media have led many educators to embark upon the pursuit and deployment of various digital tools in the classroom. They started implementing a technology-centered educational system in order to expand their pedagogical approaches and increase the possibilities of creatively putting ideas together and innovatively conveying their knowledge to their students. In this paper, we explore the convergence of creativity, technology, with art and design education, and we advocate the use of digital tools and repurposing of social media applications to support creative thinking. We discuss existing multimedia-based classroom practices that might encourage student creativity and suggest new forms and applications of technology aimed at providing the reflective teacher with more effective and efficient strategies to cultivate creativity while teaching art, design, and digital media courses.
THE EFFECT OF INTERVENTION ON PATIENT'S SATISFACTION IN EMERGENCY DEPARTMENTS OF THE HOSPITALS AFFILIATED TO SHIRAZ UNIVERSITY OF MEDICAL SCIENCES

: Purpose: The status of providing medical services to patients in the emergency wards can be indicator of medical service delivery in every part of hospital. We determined the level of patient's satisfaction in emergency departments of the hospitals affiliated to Shiraz University of Medical Sciences and planned appropriate interventions for promotion of this level. Methods: This research was an interventional study in the hospitals affiliated to Shiraz University of Medical Sciences. We used a questionnaire with 18 items for data collection. In the first phase of our study, some interventions were implemented such as special attention to cleaning of emergency departments, more respect to patients, attending round supervision, and increased space of some emergency wards. After 6 months, the second phase of the study was done. The data were analyzed, using SPSS 11.5 software and appropriate tests. Results: questionnaire. The of patients' satisfaction improved in the post-intervention stage (P<0.05). of services, respectively. post-intervention stage, professional services the highest level. The results of this study showed that interventions were effective on improvement of patients' satisfaction. Promotion of the quality of services and continuous monitoring of them could improve patients' satisfaction in emergency wards.
(E)-4-Hydroxy-N′-(3-hydroxy-4-methoxybenzylidene)benzohydrazide

The molecule of the title benzohydrazide derivative, C15H14N2O4, exists in a trans conformation with respect to the C=N double bond and is twisted, the dihedral angle between the two benzene rings being 24.17 (6)°. The methoxy group is almost co-planar with respect to the attached benzene ring [Cm—O—C—C (m = methyl) = −1.45 (17)°]. In the crystal, the molecules are linked by N—H⋯O and O—H⋯O hydrogen bonds into sheets parallel to the bc plane. These sheets are further connected into a three-dimensional network by weak C—H⋯O and C—H⋯π interactions.
Intelligent Person Behaviour Analysis in Low Resolution Beach Video Imagery

Object detection in complex scenes plays an important role in many real world applications, such as scene analysis, security, traffic violation detection, and medical research. The Object Detection and Behaviour Classification (ODBC) system created from this PhD research, is ground-breaking and concentrates solely on the domain of people and behaviour detection in low resolution beach scene imagery. The video source for this research was obtained from Coastalwatch beach webcams, which are located throughout Australia. Current object detection systems, overall, utilise a similar methodology, following four main image processing procedures; 1) remove unwanted noise, 2) background extraction from an image scene, 3) segmentation of the objects from the scene, and 4) object classification into different class types. To my knowledge, there is no other past or current research studying behaviour detection in low resolution beach imagery, and therefore, my research leads the way in this domain. Information from beach imagery can provide important data for tourism promotions and beach safety. Analysis of people behaviour could assist in making decisions about promotions and beach amenities. Automated beach systems may provide constant monitoring of a beach, by detecting people entering the ocean in a flagged or non-flagged area of a beach. This may also provide an early warning system to assist lifeguards in protecting swimmers in a beach area. Beach scenes have their own challenges due to weather conditions, wave action, and varying numbers of people on the beach at any one time. Wave noise, in particular, can make detecting a person walking along the shoreline a challenging task. Regions of interest in a beach scene were classified into “person” and “other” categories. Detected people in the scene are then tracked as they move around the beach. This tracking information was then used to analyse a person’s behaviour type. To classify regions of interest it was proposed that a cascading classifier applying height, ratio, and mass parameters be used to initially filter out non-person objects before passing an object onto the more computationally expensive classifiers of a neural network. In addition to other classifiers, a feed-forward Multi-layer Perceptron (MLP) neural network was investigated for any improvement in identification and invariance performance. A large beach image database was collated from beach video segments. Its purpose was to generate a training and test set to investigate different feature vectors for neural network classification. A human operator categorised segmented regions into “person” and “other” categories. This resulted in a database consisting of 9,500 “other” and 9,370 “person” categories. A training set of 15,000 images and a test set of 3,870 images was then randomly generated for the image database. Firstly, the Modified Direction Feature (MDF) vector was examined to determine how well it could perform on low resolution beach imagery. Experiments were conducted where extra inputs specific to the beach domain were added to
A Comprehensive Study and Analysis of LEACH and HEED Routing Protocols for Wireless Sensor Networks – With Suggestion for Improvements

The main interesting aspect of the digital era is the widely spread ease of communication from one end of the world to the other end of the world. There is a revolution in communication, digitalization, globalization, video calling, wireless data transfer and this is possible due to networking. Initially computer networks is the data sharing where data such as documents, file, reports, presentation files, videos, images etc can be shared within a local network or remotely connected networks. Traditional data networking is to empower end-to-end information transfer. The data in such networks are carried across point-to-point links and the intermediate nodes just forward the packets, where the payload of the packets is not modified. Traditional LANs need wires, which may be difficult to set up in some situations. It is very much understandable and clearly visible that wired communication is being completely overtaken by wireless technologies in the recent past. Wireless LANs, by its very nature, empowers with increased mobility and flexibility. Wi-Fi devices get connected to the internet through WLAN and access points. 2.4 GHz and 5 GHz ISM bands are used by Wi-Fi. Also, it is to be understood that, a wireless adhoc network is distributed in its nature. It is also to be noted that, the adhoc nature makes these network to rely on any of the pre-existing infrastructure. The data forwarding shall happen from the nodes very much dynamically based on the connectivity and the routing algorithm used.
Genes involved in stress signals: the CBLs-CIPKs network in cold tolerant Solanum commersonii

Several studies revealed the important contribution of calcineurin B-like (CBLs) and CBL-interacting kinase (CIPKs) genes in transmitting stress signals in plants. Taking advantage from the genome sequences of the cultivated potato Solanum tuberosum and its wild relatives S. commersonii and S. chacoense, we identified for the first time 10 CBLs and 26 CIPKs genes in each species. The CBLs and CIPKs derived from tandem duplications indicate that these gene families in potato mainly arise through amplification mechanisms. Once annotated, we compared the par excellence model of Arabidopsis thaliana with S. commersonii, the potato model species for studying cold tolerance. We found that four ScCBL proteins (ScCBL1, ScCBL4a, ScCBL4b, and ScCBL9) started with a conserved N-myristoylation motif (MGXXXS/T), which might function in membrane targeting of the CBLs-CIPKs complex. Additionally, expression analyses of S. commersonii CBL and CIPK genes based on RNAseq revealed diverse expression patterns following various abiotic and biotic stresses and in the four tissues analyzed (flowers, leaf, roots, and tubers). Data also suggest that the ScCBLs-ScCIPKs complex may be more responsive to abiotic rather than biotic stimuli. Overall, the results described in the present work will be useful for future investigations and for functional characterization of individual CBLs and CIPKs in Solanum.
Lithium-ion Battery Capacity Estimation Based on a Adaptive Model Algorithm With Aging Test

The actual capacity of the battery is an important indicator for calculating the health state and the remaining power-driven mileage. In this paper, an adaptive model algorithm based on equivalent circuit model is used to estimate the capacity of battery. First, a reasonable and effective second-order resistancecapacitance (RC) network equivalent circuit model is established. Second, the adaptive model algorithm based on an equivalent circuit model is employed. The capacity is calculated by the ratio between the accumulated ampere hour (Ah) and state of charge (SOC) difference. The SOC is obtained accurately mainly by the adaptive extended Kalman filter (AEKF). Finally, a comprehensive experimental schedule is designed to acquire the test data and verify the proposed method. The results manifest that after the estimated results tend to be stable, and the absolute error of SOC and capacity estimation are less than 1% and 0.1 Ah, respectively.
Study of the performance of the 40 ^ counters with the 94 data

To improve the hermeticity of the DELPHI detector, a set of scintillator{lead counters has been installed in the region between the Barrel and Forward electromagnetic calorimeters on side C. The response of the counters has been studied with muons, electrons and hadronic jets. This work demonstrates the good performance of these counters and allows the identi cation of some problems still to be solved.
Building and Testing Yield Curve Generators for P&C Insurance

Interest-rate risk is a key factor for property-casualty insurer capital. P&C companies tend to be highly leveraged, with bond holdings much greater than capital. For GAAP capital, bonds are marked to market but liabilities are not, so shifts in the yield curve can have a significant impact on capital. Yield-curve scenario generators are one approach to quantifying this risk. They produce many future simulated evolutions of the yield curve, which can be used to quantify the probabilities of bond-value changes that would result from various maturity-mix strategies. Some of these generators are provided as black-box models where the user gets only the projected scenarios. One focus of this paper is to provide methods for testing generated scenarios from such models by comparing to known distributional properties of yield curves. P&C insurers hold bonds to maturity and manage cash-flow risk by matching asset and liability flows. Derivative pricing and stochastic volatility are of little concern over the relevant time frames. This requires different models and model testing than what is common in the broader financial markets. To complicate things further, interest rates for the last decade have not been following the patterns established in the sixty years following WWII. We are now coming out of the period of very low rates, yet are still not returning to what had been thought of as normal before that. Modeling and model testing are in an evolving state while new patterns emerge. Our analysis starts with a review of the literature on interest-rate model testing, with a P&C focus, and an update of the tests for current market behavior. We then discuss models, and use them to illustrate the fitting and testing methods. The testing discussion does not require the model-building section.