Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiofrequência pulsada para flacidez periorbitária : estudo comparativo Pulsed radiofrequency for periorbital sagging : a comparative study

Introduction: Wrinkles, sagging, changes in texture and skin pigmentation in the periorbital region are common complaints in dermatologic practices. Several treatment options, including fractional radiofrequency, which has been shown safe and effective, have been described. Objective: To compare outcomes and side effects after the use of two types of electrodes coupled to a radiofrequency device, used for rejuvenating the eyelid region. Methods: A comparative, randomized and blind clinical trial was carried out with patients bearing aging in the periorbital region. The patients were treated with two different electrodes (called standard tip and Lima 8 tip), which can be coupled to the same radioelectrosurgery device. The variables investigated were sagging, wrinkles, texture and firmness of the treated skin, in addition to the presence of adverse effects. Thirty days after the last session, patients answered to a satisfaction questionnaire, having been photographed for clinical assessment. Results: The patients treated with both tips experienced considerable satisfaction with the improvement of sagging and wrinkles. The variable firmness presented worse satisfaction indices, with a disadvantage for the standard tip. Important edemas emerged after the use of both tips; nevertheless ecchymosis occurred most frequently and lasted longer with the Lima 8 tip. Hyperpigmentation was more frequent and longer lasting with the standard tip, however without statistically significant difference. Conclusions: The two tips were equally effective for the treatment of sagginess, wrinkles and skin texture in the periorbital region. The patients treated with the Lima 8 tip had higher satisfaction indices regarding the skin’s firmness, experiencing a higher incidence of ecchymosis, as well as a longer duration of that side effect.
’ s repository of research publications and other research outputs Using historical data to enhance rank aggregation Conference or Workshop Item

Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningless deviations consistently occurring in the input score distributions, which distort the combined result when the individual biases differ from each other. We propose a score-based rank aggregation model where the source scores are normalized to a common distribution before being combined. Early experiments on available data from several TREC collections are shown to support our proposal.
Estilo de vida y riesgo de padecer demencia

In spite of the few randomized studies to date, evidence coming from naturalistic studies allows us to define the existence of habits in style of life acting as risk factors or protective factors for developing dementia. Mediterranean diet, frequent physical activity, regular sleep timing, cognitive stimulation and an active social life are habits protecting against the risk of developing dementia. These conclusions should be carried as general recommendations into policies of health protection by public institutions. Randomized studies are needed to gain knowledge into mechanisms of action and define specific recommendations for preventing the development of dementia through a healthy style of life.
JPE-12-3-1 Implementation of an Interleaved AC / DC Converter with a High Power Factor

An interleaved bridgeless buck-boost AC/DC converter is presented in this paper to achieve the characteristics of low conduction loss, a high power factor and low harmonic and ripple currents. There are only two power semiconductors in the line current path instead of the three power semiconductors in a conventional boost AC/DC converter. A buck-boost converter operated in the boundary conduction mode (BCM) is adopted to control the active switches to achieve the following characteristics: no diode reverse recovery problem, zero current switching (ZCS) turn-off of the rectifier diodes, ZCS turn-on of the power switches, and a low DC bus voltage to reduce the voltage stress of the MOSFETs in the second DC/DC converter. Interleaved pulse-width modulation (PWM) is used to control the switches such that the input and output ripple currents are reduced such that the output capacitance can be reduced. The voltage doubler topology is adopted to double the output voltage in order to extend the useable energy of the capacitor when the line voltage is off. The circuit configuration, principle operation, system analysis, and a design example are discussed and presented in detail. Finally, experiments on a 500W prototype are provided to demonstrate the performance of the proposed converter.
A COMPARATIVE STUDY ON THE PHYSICOCHEMICAL CHARACTERISTICS , ORGANIC ACID PROFILES , MINERAL COMPOSITIONS AND SENSORY PROPERTIES OF ICE CREAMS PRODUCED WITH DIFFERENT TYPES OF NUTS

Article history: Received: 18 April 2017 Accepted: 8 September 2017 ABSTRACT The aim of this study was to evaluate the selected physicochemical properties, organic acid profiles, mineral compositions and sensory properties of ice creams produced with hazelnut (HIC), almond (AIC), walnut (WIC) and pistachio (PIC). Obtained results showed that all physicochemical properties, and organic acid profiles of the ice creams affected by the addition of different types of nuts at the level of p<0.01. Ca, Cu, Mg, K, Zn and Na were determined in all ice cream samples, while Al was not found in any of the samples. However, Fe was determined in the WIC and PIC. Observing the sensory evaluations, colour and appearance (p<0.05), flavour (p<0.05) and overall acceptability (p<0.01) scores of the samples showed statistically significant differences from each other. The highest overall acceptability score belonged to HIC and it was followed by WIC, AIC, control and PIC samples, respectively.
VOL 22 , NO . 2 , 1996 Monitoring and Care of 2 Young People at Incipient Risk of Psychosis

This article describes the theoretical background, origins, and development of a new clinical service for intervention in the putatively prodromal phase of schizophrenia and other psychotic disorders. Establishing such a service required examination of conceptual issues such as the meaning of the prodrome in psychosis and its association with risk of subsequent psychosis, and of practical issues related to identifying prodromal patients in the community and engaging them in monitoring and treatment Patients' needs, timing, and mode of treatment had to be considered. Preliminary data from the service's 20month pilot phase are presented to help inform these issues. Schizophrenia Bulletin, 22(2): 283-303, 1996.
Tobacco dependence and respiratory disease P 1053 Acute effect of e-cigarette on pulmonary function in healthy subjects and smokers

printing supported by . Visit Chiesi at Stand B2.10 SUNDAY, SEPTEMBER 2ND 2012 similar to nonsmokers. These results suggest that quitting smoking, even in people who developed COPD, may lead to MC’s reversibility. P1057 Survival of patients with severe chronic obstructive pulmonary disease in relation to smoking habits Krisztina Tóth Vörös1, Nevena Secen2, Djordje Povazan2, Jelena Zvekic-Svorcan3. 1Pulmology, Health Center, Novi Becej, Vojvodina, Serbia; 2Department for Chemotherapy, Department for Acute Pneumopathies, The Institute For Pulmonary Diseases of Vojvodina, Novi Sad, Vojvodina, Serbia; 3Rheumtology, Special Hospital for Rheumatic Diseases, Novi Sad, Vojvodina,
Effect Of Iliotibial Band Stretching Versus Hamstrings And Abdominal Muscle Activation On A Positive Ober's Test In Subjects With Lumbopelvic Pain: A Randomized Clinical Trial

In the presence RCT, two groups of patients with lumbopelvic pain were treated. One group received ITB stretching for hot moist pack for 20min over low back ache and stretching of ITB, 3times with one minute hold each. Other group received hot moist pack for 20 minutes and Exercises by the postural research institute. If there was unilateral affection, 90/90 hemibridge with balloon and those with bilateral affection, 90/90 Hip lift with balloon was used.outcome measures used were 1) Hip ROM using Smart Phone Inclinometer 2) Pain-Visual Analogue Scale (VAS) 3)Modified Oswestry Low Back Pain Disability Questionnaire. Results concluded that the experimental group which had exercises which include abdominal and hamstrings activation with HMP showed greater reduction in pain ,increase in hip adduction as compared to that of control group. Hence the above protocol prescribed to patients with lumbopelvic pain.
Speaker Adaptation for Lip-Reading Using Visual Identity Vectors

Visual speech recognition or lip-reading suffers from high word error rate (WER) as lip-reading is based solely on articulators that are visible to the camera. Recent works mitigated this problem using complex architectures of deep neural networks. Ivector based speaker adaptation is a well known technique in ASR systems used to reduce WER on unseen speakers. In this work, we explore speaker adaptation of lip-reading models using latent identity vectors (visual i-vectors) obtained by factor analysis on visual features. In order to estimate the visual i-vectors, we employ two ways to collect sufficient statistics: first using GMM based universal background model (UBM) and second using RNN-HMM based UBM. The speaker-specific visual i-vector is given as an additional input to the hidden layers of the lip-reading model during train and test phases. On GRID corpus, use of visual i-vectors results in 15% and 10% relative improvements over current state of the art lip-reading architectures on unseen speakers using RNN-HMM and GMM based methods respectively. Furthermore, we explore the variation of WER with dimension of visual i-vectors, and with the amount of unseen speaker data required for visual i-vector estimation. We also report the results on Korean visual corpus that we created.
Comparison of Levenberg-Marquardt and Extended Kalman Filter based Parameter Estimation of Artificial Neural Networks in Modelling Deformation Processes

In monitoring various deformation models are well-established. Considering deformations as a dynamic reaction of the object structure to influencing parameters describes the monitoring task in its entirety. However, if the structure and the response characteristics of the object are unknown or too complex to be modelled, a behavioural approach is formulated. Estimating parameters of an unknown input-output dependency from observed data considering available a priori information is the aim of learning. In general, a learning algorithm consists of a set of approximating functions and an optimisation method. In this contribution the well-known Kalman filter is applied as an optimisation method in combination with artificial neural networks as a set of approximating functions. This approach will be compared with the prevailing optimisation method of Levenberg-Marquardt. It is shown that the Levenberg-Marquardt is a particular case of the extended Kalman filter, which results under simplifying assumptions. Morover, the covariances included in the Kalman filter can be chosen reasonable and exhibit the same functionality as e.g. the step size in optimisation. The results obtained by the two optimisation methods are compared at a theoretical level as well as based on synthetic data.
One-pass single-channel noisy speech recognition using a combination of noisy and enhanced features

This paper introduces a method of noise-robust automatic speech recognition (ASR) that remains effective under one-pass single-channel processing. Under these constraints, the use of single-channel speech enhancement seems to be a reasonable noise-robust approach to ASR, because complicated techniques requiring multi-pass processing cannot be used. However, in many cases, single-channel speech enhancement seriously deteriorates the accuracy of ASR because of speech distortion. In addition, the advanced acoustic modeling framework (joint training) is relatively ineffective in the case of single-channel processing. To overcome these problems, we propose a noiserobust acoustic modeling framework based on a feature-level combination of noisy speech and enhanced speech. To obtain further improvements, we also adopt a sub-network-level combination of noisy and enhanced speech, and a gating mechanism that can dynamically select appropriate speech features. Through comparative evaluations, we confirm that the proposed method successfully improves the accuracy of ASR in noisy environments under strong constraints.
th Global Conference on Artificial Intelligence Weighted Description Logic for Classification Problems ∗

We summarise the definitions and some technical aspects of a familiy of description logics that introduce concept constructors (so-called tooth-operators) which, under various constraints, accumulate weights of concepts. We demonstrate how these operators can be fruitfully and elegantly applied to a number of cognitively motivated classification problems which are difficult to handle with the standard expressive means of description logics.
Growth Hormone Upregulates Melanocyte-Inducing Transcription Factor Expression and Activity via JAK2-STAT5 and SRC Signaling in GH Receptor-Positive Human Melanoma

Growth hormone (GH) facilitates therapy resistance in the cancers of breast, colon, endometrium, and melanoma. The GH-stimulated pathways responsible for this resistance were identified as suppression of apoptosis, induction of epithelial-to-mesenchymal transition (EMT), and upregulated drug efflux by increased expression of ATP-binding cassette containing multidrug efflux pumps (ABC-transporters). In extremely drug-resistant melanoma, ABC-transporters have also been reported to mediate drug sequestration in intracellular melanosomes, thereby reducing drug efficacy. Melanocyte-inducing transcription factor (MITF) is the master regulator of melanocyte and melanoma cell fate as well as the melanosomal machinery. MITF targets such as the oncogene MET, as well as MITF-mediated processes such as resistance to radiation therapy, are both known to be upregulated by GH. Therefore, we chose to query the direct effects of GH on MITF expression and activity towards conferring chemoresistance in melanoma. Here, we demonstrate that GH significantly upregulates MITF as well as the MITF target genes following treatment with multiple anticancer drug treatments such as chemotherapy, BRAF-inhibitors, as well as tyrosine-kinase inhibitors. GH action also upregulated MITF-regulated processes such as melanogenesis and tyrosinase activity. Significant elevation in MITF and MITF target gene expression was also observed in mouse B16F10 melanoma cells and xenografts in bovine GH transgenic (bGH) mice compared to wild-type littermates. Through pathway inhibitor analysis we identified that both the JAK2-STAT5 and SRC activities were critical for the observed effects. Additionally, a retrospective analysis of gene expression data from GTEx, NCI60, CCLE, and TCGA databases corroborated our observed correlation of MITF function and GH action. Therefore, we present in vitro, in vivo, and in silico evidence which strongly implicates the GH–GHR axis in inducing chemoresistance in human melanoma by driving MITF-regulated and ABC-transporter-mediated drug clearance pathways.
The Impact of Facebook & Twitter on College Students and spending Pattern

The purpose of this research study is to examines the effect of social media, particularly Facebook and Twitter, on the purchasing habits of college students by testing for correlations between recommendations on social media and spending patterns. Moreover, the research also examines the role of gender and social media usage frequency on consumption patterns Social media is a popular trend today, especially among college students. Businesses are always looking for new ways to reach customers, especially ones readying to enter the work force. This study examines the impact of social media on the buying habits of college students. The simple random sampling technique was used to select a sample of 275 students. In this study, a quantitative research survey was created to analyse the effect of social media on the consumption patterns of students at collegiate institution. The survey instrument focused on Facebook and Twitter. The research study’s purpose was to discover the impact of word-of-mouthrecommendations, gender, and usage frequency of Facebook and Twitter on the purchasing habits of students Based on the findings of the study, several additional studies could be developed. First, the study could be replicated at several different institutions to determine whether the results at the present testing site were typical or were atypical of the general population of college students. Though it was beyond the scope of this study, further analysis could be performed to test for differences between
Performance Evaluation of Automated Guided Vehicles: Use Case of using OMNeT++ in a Master's Thesis

OMNeT++ as a discrete event simulator is widely used in combination with the INET framework to simulate communication networks. For students, the limited time frame designated for their master’s thesis is usually a challenge. In particular, because not only an implementation but a scientific contribution is expected as well. Within this paper we present an approach on how OMNeT++ can be used to solve the research question given in the context of a thesis. The exemplary application scenario under consideration here is based on Automated guided vehicles (AGV) which use a WLAN network to exchange information about new obstacles and their localization as such with a central server. As the performance indicators of communication networks are not yet considered while planning such setups, the effect of the network on the operation of the AGVs has to be evaluated. Especially in scenarios with a large number of AGVs the scalability of the WLAN is of interest. We show how the simulation model is parametrized based on a field analysis. With the aid of the experimental data, the different types of traffic are distinguished and modelled according to probability distributions. Based on the scenario under consideration and the envisioned large scale setups, a simulation model is implemented. In the evaluation we present exemplary results. We conclude with an explanation of the grading scheme of master’s theses to highlight how the scientific approach presented is taken into account here.
Risk , Financial Modeling and Cloud Computing : A New Approach

Cloud Computing (CC) has been on the rise. Its pervasiveness has tremendous effects on both CC users and CC providers as well as on governments. The latter purports to regulate the industry to increase its security and users’ confidence. Recent theoretical advances such as Shannon’s channel and “rational inattention” may explain the remarkable rise of this industry. But the switch from a CAPEX to an OPEX model that CC entails has significant impacts on firm valuation and wealth creation. Contrary to previous claims in the literature, it is argued here that this shift in management strategy may increase firms’ risks rather than reduce them. To effectively reduce risks, firms should use more sophisticated pricing mechanisms such as decoupling which breaks the link between valuation and risk for both CC users and CC providers.
Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts

The detection of different levels of physical load from speech has many applications: Besides telemedicine, non-contact detection of certain heart rate ranges can be useful for sports and other leisure time devices. Available approaches mainly use a high number of spectral and prosodic features. In this setting of typically small data sets, such as the Talk & Run data set and the Munich Biovoice Corpus, the high-dimensional feature spaces are only sparsely populated. Therefore, we aim at a reduction of the feature number using modern neural net inspired features: Bottleneck layer features, obtained from standard low-level descriptors via a feed-forward neural network, and activation map features, obtained from spectrograms via a convolutional neural network. We use these features for an SVM classification of high and low physical load and compare their performance. We also discuss the possibility of hyperparameter transfer of the extracting networks between different data sets. We show that even for limited amounts of data, deep learning based methods can bring a substantial improvement over “conventional” features.
Kinetics of C and N mineralization, N immobilization and N volatilization of organic inputs in soil

C and N mineralization data for 17 different added organic materials (AOM) in a sandy soil were collected from an incubation experiment conducted under controlled laboratory conditions. The AOM originated from plants, animal wastes, manures, composts, and organic fertilizers. The C-to-NAOM ratios (hAOM) ranged from 1.1 to 27.1. Sequential fibre analyses gave C-to-N ratios of soluble (hSol), holocellulosic (hHol) and ligneous compounds (hLig) ranging from 1.1 to 57.2, 0.8 to 65.2, and 3.5 to 25.3, respectively. Very different patterns of net AOM-N mineralization were observed: (i) immobilization for four plant AOM; (ii) moderate mineralization (4–15% AOMN) for composts; (iii) marked mineralization (11–27% AOM-N) for 1 animal AOM, 1 manure and 2 organic fertilizers; and (iv) high rates of transformations with possible gaseous losses for some N-rich AOM. The Transformation of Added Organics (TAO) model proposed here, described AOM-C mineralization (28 8C, 75% WHC) from three labile (L0), resistant (R) and stable (S) compartments with the sole parameters PL and PS 1⁄4 fractions of very labile and stable compounds of AOM, respectively. Dividing the C-compartments by their C-to-N estimates supplied the remaining NAOM fraction (RAONF). A Pim parameter split the TAO nitrogen fraction (TAONF 1⁄4 added N-RAONF) into two compartments, immobilized (imN) and inorganic (inorgN) N. A Pim . 0 value meant that all the TAONF plus a fraction (Pim 2 1) of native soil inorganic N was immobilized. Additional N mineralization was predicted when necessary from imN by first order kinetics (constant kremin). The TAO version with two parameters Pim and kremin allowed us to predict very different patterns of N mineralization and N immobilization. In a few cases, a further first order kinetic law (constant kv) was added to predict N volatilization from inorgN. Two hypotheses were tested: (i) hL0, hR, hS (C-to-N of L 0, R and S) 1⁄4 hSol, hHol, hLig, respectively, (ii) hL0 1⁄4 hR 1⁄4 hS 1⁄4 hAOM. The first hypothesis was validated by these data, and the second was a good approximation of the former one. In all the cases, predictions were in good agreement with measured values. q 2003 Elsevier Science Ltd. All rights reserved.
Anti-glycation and improvement microbiota by Geranium dielsianum extract: Relation to health problems in athletes

ペルーでは Geranium dielsianum(GD)が古くから糖尿病や種々の炎症への薬効が伝承され、主に GD 茶と して親しまれている。 我々が行ってきた GD 抽出物(GDE;商品名 MISKAMISKA)の効能をまとめ、抗 糖化作用、アスリートの健康障害との関連について解説する。 In vitro 実験では GDE の抗酸化活性(ORAC = 5.1×10 μmolTE/g)、α-グルコシダーゼ阻害作用、グルコース/ 1 型コラーゲン反応系にてアミノグアニジン と同等以上の糖化最終生成物(advanced glycation end products; AGEs)生成抑制作用を確認した。 動物実験 では Sprague Dawley(SD)ラットおよび 2 型糖尿病モデル Otsuka Long-Evans Tokushima Fatty(OLETF) ラットを用いて腸内細菌叢への作用を評価した結果、GDE 摂取によりラット盲腸内容物や糞中における乳酸桿 菌(Lactobacilli)、ビフィズス菌(Bifidobacteria)の菌量増加を認めた。 ヒト臨床試験成績(無対照オープン
Analysis of hip strength and mobility as injury risk factors in amateur women ’ s football : a pilot study

Antonio Maestro1, Joaquín Lago2, Gonzalo Revuelta3, Pablo del Fueyo4, Lorenzo del Pozo5, Carlos Ayán6, Vicente Martín7 1Servicios Médicos del Real Sporting de Gijón S.A.D. 2Facultad de Ciencias de la Educación y del Deporte. Universidad de Vigo. 3Real Sporting de Gijón S.A.D. 4Real Sporting de Gijón S.A.D. 5Real Sporting de Gijón S.A.D. 6Facultad de Ciencias de la Educación y del Deporte. Universidad de Vigo. 7Departamento de Ciencias Biomédicas. Universidad de León.