Miracle-dz/UniFAR-FTUs huggingface dataset:
A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes

Background Mobile technology has an impact on the health care sector, also within dietetics. Mobile health (mHealth) apps may be used for dietary assessment and self-monitoring, allowing for real-time reporting of food intakes. Changing eating behaviors is quite challenging, and patients undergoing hemodialysis, particularly, struggle to meet the target intakes set by dietary guidelines. Usage of mobile apps that are developed in a person-centered approach and in line with recommendations may support both patients and health care practitioners. Objective This study is a pilot that aims at estimating the potential efficacy of a dietary intervention using a theory-based, person-centered smartphone app. Results will be used to improve both the app and a planned large-scale trial intended to assess app efficacy thoroughly. Methods A prospective pilot study was performed at the hemodialysis unit of Al Qassimi Hospital (The Emirate of Sharjah). All patients that fulfilled the study inclusion criteria were considered eligible to be enrolled in the pilot study. Upon successful installation of the app, users met with a dietitian once a week. Outcomes were measured at baseline (T0) and 2 weeks post app usage (T1). This pilot is reported as per guidelines for nonrandomized pilot and feasibility studies and in line with the CONSORT 2010 checklist for reporting pilot or feasibility trials. Results A total of 23 patients completed the pilot intervention. Mean energy intakes increased from 24.4 kcal/kg/day (SD 8.0) to 29.1 kcal/kg/day (SD 7.8) with a medium effect size (d=0.6, 95% CI 0.0-1.2). Mean protein intakes increased from 0.9 g/kg/day (SD 0.3) to 1.3 g/kg/day (SD 0.5) with a large effect size (d=1.0, 95% CI 0.4-1.6); mean intake of high biological value (%HBV) proteins also increased from 58.6% (SD 10.1) to 70.1% (SD 10.7) with a large effect size (d=1.1, 95% CI 0.5-1.7). Dietary intakes of minerals did not change, apart from sodium which decreased from a mean intake of 2218.8 mg/day (SD 631.6) to 1895.3 mg/day (SD 581.0) with a medium effect size (d=0.5, 95% CI 0.1-1.1). Mean serum phosphorus, potassium, and albumin levels did not change relevantly. Mean serum iron increased from 7.9 mg/dL (SD 2.8) to 11.5 mg/dL (SD 7.9) postintervention with a medium effect size (d=0.6, 95% CI 0.0-1.2). Conclusions This pilot study showed that the KELA.AE app has the potential to improve dietary intakes. Processes related to procedure, resources, tools, and app improvement for a future trial were assessed. A more extended intervention using a randomized controlled trial is required to estimate parameters concerning app efficacy accurately.
COMPARATIVE INVESTIGATIONS ON BEHAVIOUR OF WILD AND DOMESTIC RABBITS IN THE NESTBOX

Infrared video observations were used to study behaviour in the nestboxes of both adult wild and domestic rabbits. A total of 1080 hours of observations of wild rabbits and 1008 hours of observations of domestic rabbits kept in two enclosures with free access to two nestboxes and some other hiding-places were analysed. Both wild and domestic adult rabbits spent a considerable part of their time (54.9 % in wild and 30.6 % in domestic rabbits) in pairs or in groups of three and voluntarily were in body contact between 65.3 % (domestic rabbits) and 80.4 % (wild rabbits) of the time. While crouching together, both wild and domestic rabbits used only a very small nestbox space: 0.08 to 0.125 m2/animal in wild and 0.14 to 0.21 m2/animal in domestic rabbits. Between 7 a.m. and 4 p.m. , an average of 2.9 animals from a maximum of 3 wild rabbits stayed in the nestboxes. Domestic rabbits used nestboxes less: an average of 0.9 adults were in the nestbox between 7 a.m. and 4 p.m. Adult domestic rabbits spent much more time than wild rabbits resting outside the nestbox including a wooden tube leading to the nestbox. The use of a small area for resting is a species-specific behaviour both in wild and domestic rabbits.
Karyotype and sex expression in Trichosanthes dioica

Cytological and immunochemical studies were carried out on dioecious Trichosanthes dioica to understand the genetic control of sex expression. The karyotype shows high homogenity and the absence of heteromorphic pair of chromosome in diploid males negates the possibility of XY mechanism. Soluble protein profile from the tuberous roots of the male and female plants of T. dioica did not show any marked distinction; only a variation in the staining pattern was observed. However, in the immunoblot assay the cross reactivity of anti-p-22 (antibody raised against a female biased 22 kD protein of Momordica dioica) at 29 kD and 32 kD regions of the protein profiles in both sex forms establishes p-22 as a sex linked marker. The ratio of the intensity of 29/32 kD polypeptide is also an indicator of sex expression and the data has been analysed as well.
A Nonlinear Regression Model for Growth

Abstract Prasad, S. , Singh, R.K. and Singh, R. 2008. A nonlinear regression model for growth. J. Appl. Anim. Res., 33: 165–167. The polynomial regressions are not suitable to describe the growth in which the dependent variable approaches to an asymptotic value as independent variable passes through infinity. The Stevens model is, generally, used to model the asymptotic growth. A nonlinear regression model that is an extension of this model is proposed in this study and empirically has been shown that the proposed model performs better than Stevens model for estimation of growth curves.
MODEL REDUCTION OF DISTRIBUTION NETWORKS WITH DISPERSED GENERATION

This deregulation of electricity market and new energy politics give the opportunity to connect more and more dispersed generators to the distribution network. These new actors constitute new energy sources. The DG integration in the network presents several effects on the system operation. Electric networks were designed for an energy transfer from the centralised power plants to the customers through the transmission and distribution networks in an unidirectional flow. Today, DG can change this flow direction and impact on the whole system operation. During the past years much attention has been given to the impacts of dispersed generation (DG) installed on the grid [1] and [2]. Thus, amongst the impacts, one can mention:
Study of an ultrasonic inspection system by a long waveguide surrounding a pipe in the circumferential direction as an ultrasonic source

An ultrasonic sensor is usually used under 50 °C because the structure is damaged by high temperature. Therefore, a sensing system, which can transmit and receive a Lamb wave, and an SH-plate wave alternately using an EMAT and a long waveguide, has been developed. Actually, the other end of the waveguide was wound in the circumferential direction around the pipe surface using any type of fixtures. It has been confirmed that the T(0,1)and L(0,2)-mode guided wave could be generated and received in the case when the ultrasonic source is a Lamb wave or an SH0-plate wave.
Macroprudential and Monetary Policy Rules in a Model with Collateral Constraints

We compare welfare and macroeconomic effects of monetary policy and macroprudential policy, in particular targeting loan-to-value (LTV) ratios. We develop a DSGE model with collateral constraints and two types of agents. In this setup, we study seven potential policy rules responding to credit growth and fluctuations in prices of collateral. We show that monetary policy responding to deviations of collateral prices from their steady state value results in the highest level of social welfare. It is also useful in stabilizing output and inflation. Macroprudential policy using LTV ratio as the instrument is dominated in terms of output and inflation stability by the interest rate rules. If interest rate rules are not available, the LTV ratio can be used to improve welfare, but gains are small.
First Evidence of Tethytragus Azanza and Morales, 1994 (Ruminantia, Bovidae), in the Miocene of the Vallès-Penedès Basin (Spain)

DANIEL DEMIGUEL,*,1 ISRAEL M. SÁNCHEZ,2 DAVID M. ALBA,1 JORDI GALINDO,1 JOSEP M. ROBLES,1,3 and SALVADOR MOYÀ-SOLÀ4; 1Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICP, Campus de la UAB s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain, daniel.demiguel@icp.cat; david.alba@icp.cat; jordi.galindo@icp.cat; 2Departamento de Paleobiologı́a, Museo Nacional de Ciencias Naturales–CSIC, C/ José Gutiérrez Abascal 2 28006, Madrid, Spain, israelms@mncn.csic. es; 3FOSSILIA Serveis Paleontològics i Geològics, S.L. C/ Jaume I 87 08470, Sant Celoni, Barcelona, Spain, josep.robles@fossilia.com; 4ICREA at Institut Català de Paleontologia Miquel Crusafont and Unitat d’Antropologia Biològica (Dept. BABVE), Universitat Autònoma de Barcelona, Edifici ICP, Campus de la UAB s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain, salvador.moya@icp.cat
The effects of norepinephrine on lactoperoxidase enzyme (LPO)

Norepinephrine, a hormone and a neurotransmitter, was known as catecholamine. In the present study, we examined the inhibitory effect of norepinephrine on lactoperoxidase enzyme purified from bovine milk. Lactoperoxidase (LPO; E.C.1.11.1.7) was purified from bovine milk with three purification steps: Amberlite CG-50 resin, CM-Sephadex C-50 ion-exchange chromatography and Sephadex G-100 gel filtration chromatography, respectively. LPO was purified with a yield of 31.5%, a specific activity of 30.33 EU/mg proteins and 20.77 purification fold. To determine enzyme purity, SDS-PAGE was performed and single band was observed. The Rz (A412/A280) value for LPO was 0.9. The effect of norepinephrine on lactoperoxidase was determined using ABTS as a chromogenic substrate. The half maximal inhibitory concentration (IC50) value norepinephrine was found to be 67.2 µM. Also, inhibition constant (Ki) for norepinephrine was found to be 62.0 µM. Norepinephrine was found as non-competitive inhibitor. Key words: Noradrenaline, norepinephrine, lactoperoxidase, LPO, enzyme purification, inhibition.
Aino virus, a new member of Simbu group of arbovirus from mosquitoes in Japan.

Three strains of non-Japanese encephalitis virus were isolated from mosquitoes caught in mid-September, 1964, in Aino town, Nagasaki prefecture, Japan. Two of them were recovered from pools of Culex tritaeniorhynchus and one from a mixed pool of Culex pipiens and Culex pseudovishnui. All of these viruses were shown to be fatal to the adult mouse by intracerebral inoculation, ether sensitive, inactivated by desoxycholate and not precipitated with protamine sulfate. These characteristics of the viruses, therefore, are in good accord with those of arbovirus. Since viral hemagglutinin could not be detected by sucrose-aceton extraction of the infected suckling mouse brain, immunological identification of the viruses was achieved by the complement fixation test. As a result, these viruses were antigenically alike and furthermore turned out to be a new member of Simbu group of arbovirus. It is proposed to name this new virus Aino. Later, in 1965 and 1966 attempts to reisolate the virus from mosquitoes collected in Nagasaki area were unsuccessful.
Extraction of DistanceFrom an Eddy-Current Sensor Responseby a SourceSeparation Technique: Blind Context or A Prior i Knowledge ?

Eddy-current displacemen t sensor s are very sensit ive to many environmental factors and especially to temperatur e variations. We deal here with a real world problem that is, distance measuremen t between an eddy-current sensor and a metallic target (an aluminun sheet ) which temperatur e varies during displacement . We show, that source separation techniques applied to the experimental pre-processe d data set issued from the sensor respons e permit to obtain thesensor-target distance aswell as the target temperatur e profile, although disturbed by an additive noise due to the instrumentation. IMACS/IEEE CSCC'99 Proceedings, Pages:4441-4446 Key-Words: eddy-current sensor, source separation , independen t component analysis, linear filtering 1 Int roduction An eddy-current sensor is a contactles device which consist s in a coil of wire excited by a high frequency current . The working principle can be resumed as follows: when thecoil isexcited by asinusoidal current , a magneti c field isgenerate d around it. The introduction of a nonmagneti c conducting object (target) into this field induces eddy current son itssurface, creating then another magneti c field which tends to oppose thecoil’s one (Lenz’s law). It follows from there a reduction in the coil inductance, while its resistanc e increases. The mutual inductance between the coil and the target varies then with thegap probe-target, and thisvariation is exploited by a signal conditioner in order to provide a measuremen t of this distance. This can be done in different manners , and particularl y, by introducing the coil in an oscillator, which central frequency changes with the mutual. A real problem to deal with in the use of eddycurrent sensor s is to obtain accurat e measurement s in spiteof avarying environment . In particular, if they are very robust to fluidsor dust contamination, it isnot the samewith temperatur evariations [1]. Weareinterested here in theeffect that can have temperatur e changes on a distance measuremen t provided by an eddy-current sensor made in our laborator y. First, without making any assumption s about the temperatur eand thedistance measuremen t evolution, a Blind SourceSeparation (BSS) algorithm isused to extract the effect of the temperatur e from the sensor output. Secondl y, useof apriori knowledgeand itseffects on separation performance s arestudied. Thisapproach is justified by comparing results with a standar d filtering. 2 Problem Formulation The above problem wil l be formulated with an instantaneous source separation model , that can be stated as follows: x(t) = A(t)s(t) + (t) (1) wherex isanm 1 vector of obser vations,s isann 1 vector with statisticall y independen t component s corresponding to the different phenomen a that are mixed together with A, anm n invertiblematrix called mixing matrix. Here, is an additive noise vector independent with s, often considered to beGaussian . From this model , it is suppose d that vectors has stationary or slowly varying over time component s and that the
PCR-RFLP ANALYSIS OF BETA-LACTOGLOBULIN GENE IN MURRAH BUFFALOES

PCR-RFLP analysis of beta-lactoglobulin gene locus was carried out on 110 DNA samples of Murrah buffaloes in the present study. A 262 bp fragment enclosing from exon IV to intron IV in b-lg gene was amplified with specific primers. All the 110 DNA samples resulted in 262 bp product on amplification. The PCR products were subjected for digestion with Pst1,EcoRI, HindIII and Hae III enzyme. PCR products were not digested by PstI, EcoRI and HindIII. PCR products when digested with HaeIII enzyme resulted in monomorphic banding pattern in all the samples. Sequencing of PCR products also revealed no polymorphism ( Gen Bank DQ340204 ) The DNA typing results of this study agreed completely with the milk protein typing of same buffalo milk samples for beta-lactoglobulin by PAGE, which revealed no polymorphism. PCR amplification and RFLP analysis presented in this study was found to be rapid and could be used as a valuable tool to investigate polymorphism at -lg locus directly at the DNA level without the milk samples of lactating females. One hundred and ten DNA samples of Murrah buffaloes examined in the present study revealed no polymorphism at b-lg gene locus.
The Application and Innovation of Flipped Classroom in The Teaching Management of Colleges and Universities under The Background of "MOOC"

: Without scientific and reasonable teaching management, we can not guarantee the teaching order and quality of the school. The purpose of this paper is to study the application and innovation of flipped classroom in the teaching management of colleges and Universities(CAU) under the background of "MOOC". This paper summarizes the teaching of MOOC, the teaching management of flipped classroom and the significance of flipped classroom teaching management combined with MOOC education in CAU. Based on this, this paper studies the innovative methods of teaching management. The experiment was carried out in class 1 and class 10, grade 4 of a City University. The results showed that the average score of high number in the experimental class was 91.523, the average score of high number in the control class was 87.477, and the difference of the average score was 4.0455. It shows that the flipped classroom teaching management model is helpful to improve students' academic performance. The results of the two classes are relatively good and meet the experimental conditions.
How Good is the VIX as a Predictor of Market Risk?

Volatility is a metric widely used to estimate financial risk. The VIX is an index derived from S&P 500 options prices designed to estimate the market’s expected 30-day volatility. Robert Whaley, the creator of the VIX, argued that it provided a cost-effective way to hedge risk but we question Whaley’s underlying assumption in this paper. We examine the VIX and implied volatility as a proxy for risk. Our studies show that the VIX consistently over-estimates actual volatility in normal times but it underestimates volatility in times of market crashes and crises making it unsuitable for many risk-management applications.
Performance Assessment of Spectrum Sharing Systems : with Service Differentiation

2 TABLE OF CONTENTS . 4 ACKNOWLEGEMENT . 6 PREFACE . 7 PART 1 . 7 PART 2 . 7 INTRODUCTION . 8 1.1 SPECTRUM SHARING SYSTEMS . 8 1.1.1 Cognitive radio networks . 8 1.1.2 Primary Users and Secondary Users . 8 1.1.3 Quality of Service . 9 1.2 TYPES OF SERVICES AND THEIR IMPACT ON PERFORMANCE . 9 1.3 TRAFFIC SCHEDULING MECHANISMS . 9 1.3. 1 DropTail Queuing . 9 1.3. 2 Stochastic Fair Queuing . 9 1.3. 3 Random Early Detection . 9 1.3. 4 Priority Queuing . 10 1.3. 5 First-in First-out . 10 1.4 UNDERLAY APPROACH . 10 1.5 OVERLAY APPROACH . 10 1.6 INTERWEAVE APPROACH . 10 1.7 NETWORK SIMULATOR . 10 1.7. 1 NS-1 . 11 1.7. 2 NS-2 . 11 1.7. 3 NS-3 . 11 1.7. 4 Languages used in ns2 . 11 1.7. 5 Components of NS2 . 11 1.7. 6 NS2 directory structure . 11 1.8 INSTALLATION OF NS2 . 12 1.8. 1 Validation . 12 1.9 SIMULATION OF NETWORK . 12 1.9. 1 Connections between nodes . 12 1.9. 2 Generation of traffic . 12 1.10 NETWORK ANIMATOR . 13 1.10. 1 Role of nam output . 13 1.10. 2 Xwd files. 13 1.10. 3 Role of awk script . 13 1.11 TRACE ANALYSIS UTILITIES . 14 2 THESIS OUTLINE, OBJECTIVES AND RESEARCH QUESTIONS . 15 2.1 OUTLINE OF THE THESIS WORK . 15 2.1.1 Part 1A . 15 2.1.2 Part 1B . 15 2.1.3 Part 2. 15 2.2 OBJECTIVES . 15 2.3 RESEARCH QUESTIONS AND MOTIVATION . 15 3 RELATED WORK . 17 4 METHODOLOGY . 18 4.1 LITERATURE STUDY . 18
Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions

To reduce the occurrence of ship collisions, immediate danger, and close-quarters situations in narrow inland waterways, a step-by-step early warning system for ship collision-avoidance actions was developed, along with an early warning method and model of collision risk based on coordinated collision-avoidance actions. This study first analyzed the importance of coordinated collision-avoidance actions in inland waterways, and the process and key components of coordinated collision-avoidance actions were studied. Then, the early warning method of inland ship collision risk based on coordinated collision-avoidance actions was introduced; the effectiveness of the early warning method was comparatively analyzed via experimental observations. A framework of early warning model of inland ship collision risk was created based on the early warning method; a collision risk early warning model for inland ships based on coordinated collision-avoidance actions was proposed according to the relationship between the distance/time to the closest point of approach (DCPA, TCPA), coordination degree of collision-avoidance actions of the two considered ships and collision risk; moreover, the early warning model of inland ship collision risk was further considered for quantitative calculation. Finally, the application of the early warning method and model was demonstrated using a case study. The results indicate that the early warning method of inland ship collision risk based on coordinated collision-avoidance actions could effectively reduce the emergence of close-quarters situations and immediate danger, and the early warning model could quantitatively show the evolution of collision risk of two ships along with the process of coordinated collision-avoidance actions.
Geomatics Techniques for Submerged Heritage: a Mobile App for Tourism

The tourism sector is one of the major industries in Italy that has a high impact on local communities in terms of employment and economy. To show the results of a research project highlighting the use of new technology in the tourism sector, the Geomatics Laboratory of the Mediterranea University of Reggio Calabria has developed a mobile application for tourism. The case study is "Calarcheo Park", a nonaccessible underwater archaeological park located in Reggio Calabria, near the remains of the old walls of the ancient city of Reggio Calabria (Reghion, dating back to about the VIII B.C.). The main aim of this paper is to describe the process to relive and re-propose the experience of a real immersion through a journey in virtual reality. Particular attention was given to the research part concerning the simplification processes of the models inserted within an app for tourism sector. The concept app includes scenarios (seabed) and objects (Castle and artefact) obtained from three-dimensional models realized through photogrammetric techniques, therefore "heavy" models in terms of space necessary to store them, recall them and possibly process them. Considering the visualization purpose, and the metric precision needed, the 3d models were reconstructed using a rapid method. To minimize the difficulties during the direct underwater survey carried out by a human operator (e.g. limited time available during the survey, accentuated inaccuracy due to human errors), the operations were carried out using an experimental ROV (Remote Operated Vehicles), widely used to explore underwater environments, equipped with cameras to perform photogrammetric acquisition in a single dive. To enhance the results and quality of the 3d model, a procedure to improve the image quality, and optimizing the processing is also described. This work therefore illustrates the possibilities of using 3D models created by geomatics techniques within virtual environments for apps for tourism purposes
Performance of Assessment Tool for Preoperative Planning of Brain Tumor Resection

A patient precise finite constituent biphasic brain model has be making use of to codify a surgeon's experience by establishing quantifiable biomechanical measures to achieve orientations for optimal preparation of brain tumor resection. When faced by means of evaluating more than a few potential approaches to tumor removal during preoperative planning, the objective of this exertion is to make easy the surgeon’s selection of a patient head orientation such that tumor presentation and resection is help by means of positive brain shift conditions rather than trying to allay confounding ones. Displacement-based procedures consisting of region classification of the brain surface shifting in the craniotomy region and lateral displacement of the tumor center relative to an approach vector distinct by the surgeon were calculated over a variety of orientations and second-hand to form an objective function. For a frontal lobe tumor presentation, the reproduction predicts an perfect orientation that point to s the patient should be positioned in a on the side deceits place on the side contra lateral to the tumor in arrange to minimize unfavorable brain shift.