Miracle-dz/UniFAR-FTUs huggingface dataset:
The Maximum Transient Resonance Response of Rotating Blades With Regard to Centrifugal Force and Non-Linear Damping Effects

During the operation process in many types of fluid flow machines the rotating blades pass through various resonances e.g. during run-up or run-down or other transient conditions. Therefore, for the high cycle fatigue problem of the blades it might be important to consider the transient vibratory response of the blades during these passages through resonance and to get knowledge about the occuring maximum vibratory stresses.In the paper, approximate formulas are presented which allow the estimation of the maximum transient response of the blades. Thereby, the influence of the change of the natural frequencies due to the increasing or decreasing centrifugal force field during the run-up or run-down, respectively, is taken into consideration. Basically, the approximate formulas are based on a linear change of the natural frequencies versus time and on a linear viscous type of damping. Extensions to account for parabolic changes which are more realistic for centrifugal effects and for non-linear damping models e.g. friction damping or turbulence damping are discussed.Copyright © 1997 by ASME
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes

Management of type 1 diabetes (T1D) requires affected individuals to perform multiple daily actions to keep their blood glucose levels within the safe rage and avoid adverse hypo-/hyperglycemic episodes. Decision support systems (DSS) for T1D are composite tools that implement multiple software modules aiming to ease such a burden and to improve glucose control. At the University of Padova, we are developing a new DSS that currently integrate a smart insulin bolus calculator for optimal insulin dosing and a rescue carbohydrate intake advisor to tackle hypoglycemia. However, a module specifically targeting hyperglycemia, that suggests the administration of corrective insulin boluses (CIB), is still missing. For such a scope, this work aims to assess a recent literature methodology, proposed by Aleppo et al., which provides a simple strategy for dealing with hyperglycemia. The methodology is tested retrospectively on clinical data of individuals with T1D. In particular, here we leveraged a novel in silico tool that first identifies a non-linear model of glucose-insulin dynamics on data, then uses such model to simulate and compare the glucose trace obtained by "replaying" the recorded scenario and the glucose trace obtained using the CIB delivery strategy under evaluation. Results show that the CIB delivery strategy significantly reduce the percentage of time spent in hyperglycemia (-15.63%) without inducing any hypoglycemic episode, demonstrating both safety and efficacy of its use. These preliminary results suggest that the CIB delivery strategy proposed by Aleppo et al. is a promising candidate to be included in our system to counteract hyperglycemia. Future work will extensively evaluate the methodology and will compare it against other competing approaches.
Control of a parametrically excited crane

Abstract In the last years the study of periodic linear systems has been considered of fundamental interest because periodic variations happen in a great range of physical systems; an example of this kind of system is the ship-mounted crane. In a ship-mounted crane, due to the sea oscillations, the phenomenon of parametric resonance is presented. The principal contribution of this note is to avoid the parametric resonance and attenuate the load oscillations in a crane with parametric excitation. We present a simplified model for a ship-mounted crane and based in the model we design a second order sliding mode controller. The control objective is tracking trajectories and oscillation attenuation. We present simulations and experiments.
Detection model modeling and application for batch scans of cone-beam computed tomography

Aiming at the artifact corrections for batch scans in Cone-Beam Computed Tomography (CBCT) system, the concept of detection model is proposed. Expressing the prior knowledge of CT system and scanned object properties by the detection model, the rapid artifact corrections are achieved based on the object knowledge, which can save the machine consumption, enhance the detection efficiency and improve the correction effect. Based on the Digital Radiography (DR) imaging conditions remained basically unchanged in the batch scans, the modeling method of detection model is established by getting the relevant information through the detected scanning for one of a batch of parts. Finally, the processing flow of CBCT scans and artifact corrections of a batch of parts based on the detection model is given, and some key problems in the flow are discussed to improve the practical operability of the method. The experimental result shows that the modeling method of detection model is feasible, and the rapid CBCT scans and effective artifact corrections can be realized based on the obtained detection model.
Age estimation using 2 nd molar development: An efficient indicator of adolescent age

: Background and objectives. Assessment of stage of Tooth development is a reliable method for age estimation. Most of the studies emphasize the use of stages of eruption of third molar in forensics and very little is known about the efficacy of the second molar. Thus, our present study we evaluated the efficacy of developmental staging of second and third molars to predict the age of ≤ 14 year old individual. Material and Methods. Digital radiographs of 404 individuals aged between 7-20 years were retrieved. 10 stages of tooth development advocated by Kohler et al. was used to assess the developmental stages of second and third molars. Regression equations were derived to estimate age using second and third molar development stages. Results. When compared to third molars, the formula derived using second molars, was seen to provide better results in identifying the adolescence status (98.4 %) when compared to childhood (63.01%). Also the estimation was better seen females than in males in distinguishing the age of >14 years. Conclusion. Thus, dental age estimation by using second molar could be a valuable indicator of age in young adults. Also, in medicolegal cases, second molars could be useful to identify children ≤14 years, could be used with other adjuvant measures. Key Words: Adolescence, legal issues, second molar, Demerijians
Improvements to a five-phase ABS algorithm for experimental validation

The anti-lock braking system (ABS) is the most important active safety system for passenger cars. Unfortunately, the literature is not really precise about its description, stability and performance. This research improves a five-phase hybrid ABS control algorithm based on wheel deceleration [W. Pasillas-Lépine, Hybrid modeling and limit cycle analysis for a class of five-phase anti-lock brake algorithms, Veh. Syst. Dyn. 44 (2006), pp. 173–188] and validates it on a tyre-in-the-loop laboratory facility. Five relevant effects are modelled so that the simulation matches the reality: oscillations in measurements, wheel acceleration reconstruction, brake pressure dynamics, brake efficiency changes and tyre relaxation. The time delays in measurement and actuation have been identified as the main difficulty for the initial algorithm to work in practice. Three methods are proposed in order to deal with these delays. It is verified that the ABS limit cycles encircle the optimal braking point, without assuming any tyre parameter being a priori known. The ABS algorithm is compared with the commercial algorithm developed by Bosch.
Competency-based models of learning for engineers: a comparison

One of the goals of higher professional education is to develop generic student competencies across a variety of disciplines that play a crucial role in education and that provide wider opportunities for graduates in finding good jobs and more chance of promotion. In this article a list of generic competencies developed in Russian universities is compared with a similar list developed by a consortium of Russian and European universities (project TUNING-RUSSIA). Then there is a second comparison with a list of competencies taken from the CDIO Syllabus. This comparison indicates the degree of similarity among the lists and the possible convergence among universities all over the world. The results are taken from a survey carried out among Russian employers, academics, and graduates. The survey asked to rate each listed competence by its importance and the degree of achieving goals in the process of the education.
Some Simulations of Gear–Journal Bearing Interactions

This article deals with the static and dynamic interactions between journal bearings and gears in mechanical transmissions. The proposed approach combines classic lumped parameter and shaft elements, a specific wide-faced spur or helical gear model and external bearing forces. Bearing reactions are determined based on the linearized and non-linear solution to the Reynolds equation for short bearings. The corresponding parametrically excited non-linear state equations are solved by inserting a Newton-Raphson’s method and a unilateral normal contact algorithm into a Newmark’s time-step integration schema. Finally, the influence of bearing non-linearity, external and internal forcing terms is analyzed on several single stage reduction units with spur and helical gears.Copyright © 2011 by ASME
Numerical Simulation of Filling Process in Large Steel-Ingot

A three dimensional incompressible gas-liquid two-phase flow model is proposed to accurately simulate the fluid flow of casting's mould filling process. The gas entrapment during mould filling is studied under different initial velocity and pressure conditions. The simulation results show that the velocity of change has a larger effect on gas entrapment, Initial velocity affects the distribution of temperature field,meanwhile gas entrapment parts specialized sampling is proceeded for qualitative detection at the scene. The simulated result is consistent with the experimental result, which can be reference for the process parameters selection and mold design of filling process in large steel-ingot. Keywords: gas entrapment, the filling process , the numerical simulation
A combined piezoresistive/capacitive pressure sensor with self-test function based on thermal actuation

A new pressure sensor combining a piezoresistive and a capacitive measurement principle is described. Both the mechanical stress in a thin silicon diaphragm as well as the deflection are measured. The sensor has the additional feature that its operation can be checked by means of a thermal actuator, integrated in the device. Applying electrical power to a heater results in an internal pressure rise, allowing the sensor output to be checked and eventually adjusted. Experimental results on sensor operation and self-test actuation are presented and discussed.
Microwave loaded cylindrical cavity modeling using knowledge‐based neural networks

A knowledge‐based neural (KBN) model of a microwave‐loaded cylindrical metallic cavity is presented in this paper. The considered cavity is loaded with a homogeneous dielectric layer located on the cavity bottom. Unlike the model based on a classical multilayer perceptron (MLP) network, the proposed KBN model includes an existing partial knowledge about the resonant frequency behavior of the cavity, yielding more accurate determination of the resonant frequencies. A comparison of MLP and KBN models, as well as an advantage of using the KBN model, is given through an example referring to the experimental cylindrical metallic cavity with a circular cross section. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 46: 580–585, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21057
Major ion chemistry and hydrochemical processes controlling water composition of Teesta River catchment, Sikkim Himalaya, India

ABSTRACT The study determines the major ion chemistry of the Teesta River catchment in the Eastern Himalayan region and evaluates hydrochemical processes controlling water composition of the catchment area. Water of the Teesta River basin was in neutral to alkaline condition. HCO3−, Ca2+, Na+, Mg2+ and SO42- were identified as the dominant ionic species in the Teesta catchment water composition and Ca-Mg-HCO3 as the dominant hydrochemical facies. Higher contribution of (Ca2++Mg2+) and HCO3− towards the TZ+ and TZ−, high ionic ratios of (Ca2++Mg2+)/(Na++K+), HCO3−/(Cl−+SO42-) and low (Na++K+)/TZ+ ratio suggest carbonate weathering as a major contributor of dissolved ions in the Teesta basin water. Under-saturation with respect to both carbonate and sulphate phase minerals suggests that water can dissolve these minerals during water-rock interaction. Concentration of the analysed water quality parameters were well below the specified drinking and irrigation water limits.
Joint application of autocalibration, superresolution and blind multipath estimation with an experimental array

Many sophisticated high-resolution methods have been proposed. The study describes the practical experience in the combined application of superresolution and autocalibration methods for the resolution of multipath signals. An experimental linear array antenna has been used to perform superresolution after applying autocalibration to signals from one or several radiating sources, for example base stations for mobile communication. In case of multipath propagation, the line-of-sight signals are extracted by space-time processing. These line-of-sight signals are then used as a reference for blind channel estimation and are applied to obtain superresolution of sources and reflectors in azimuth and in differential delay. The suggested methods are tested with the real data.
Geometric Modeling and Meshing Characteristics of the Toroidal Drive

This paper investigates the geometric properties of the toroidal drive, reveals the meshing characteristics, and develops analytical models of both axial section and normal section of the toroidal tooth profile. Based on coordinate transformation, the meshing function is obtained and leads to the necessary condition of existence of the enveloping surface. The helix and helix lead angle are then proposed for meshing between the sun-worm and planet worm-gears and both undercutting curve and meshing limit curve are introduced. This further leads to the induced normal curvature for evaluating gearing properties and the selection of the best suitable meshing parameters. The geometric analysis and analytical modeling present a tool for design, leading to three tables of numerical results and design parameters. This is then demonstrated in a three-dimensional modeling of both helical sun-worm and stationary internal gear of the toroidal drive.
Semi-automatic coupling of an agricultural tractor and a trailer

Abstract In this research a system assisting the operator of an agricultural tractor in coupling a trailer was developed. The system utilized knowledge of the dimensions of the trailer, width and drawbar length, in calculating the towing eyelet location from laser range finder measurements using iterative end-point fit. The tractors speed and curvature are then automatically controlled to align the draw hook with the towing eyelet. Curvature is controlled using pure pursuit algorithm and speed with Smith-predictor and P-controller. In final field tests the system provided 10 successful connections out of 10 attempts. Further research is required to make the system more general and robust to environmental anomalies. Overall performance was satisfactory.
Large-Scale Agent-Based Transport Simulation in Shanghai, China

The activity-based model system is being coined as the next-generation demand-forecasting model. The agent-based transport simulation toolkit MATSIM is a fully integrated system that models decisions from the long term to the short term, and these decisions in MATSIM are activity-based models. This paper describes the application of MATSIM in a large-scale multiagent-based transport simulation for Shanghai, China. First, algorithms for integrating new data in Shanghai with MATSIM inputs such as synthetic population, facilities, and network are separately designed according to data characteristics. Then activity-based modeling is introduced to generate population plans, and activity replanning is employed to learn the better travel plans; a utility-based approach is used to model scoring for a plan. Finally, a full MATSIM-based simulation platform for the Shanghai scenario is built in detail. The scenario contains 200,000 synthetic persons simulated on a network with 50,000 links. The relaxed state of the simulation system is reached after 100 iterations of replanning procedures, and the mode choice, route choice, and activity time allocation modules are used to optimize agents’ activity plans. The feasibility of transport simulation in Shanghai by MATSIM is validated against the mode split and the observed counts. Extensive simulation results for the designed Shanghai simulation scenarios indicate that most of the observed counts match quite well with the traffic simulation volumes and demonstrate the potential of MATSIM for large-scale dynamic transport simulation.
Real-Time Moire Holography

Interferometric techniques including hologrametry, both classical and electronic, present high sensitivity making difficult its practical use in real-time. The introduction of the differencial concept as moire evaluation techniques permits to use with advantage an arbitrary reference pattern within the correlation range. The carrier spatial spectrum can be directly the interferogram fringe pattern instead of the original interference pattern of wavelength dimensional scale. A moire techniques is in itself an optical processing method reducing evaluation time which is advantageous when real-time response is desired from hybrid metrological systems. The moire evaluation is performed via a dynamical digital memory that executes arithmetic operations on two frames temporally in sequence, at TV rate. These characteristics of the moire evaluation techniques can be implemented on a real-time holographic (or speckle based) hybrid system with great practical advantage for dynamical studies.
Toll Like Receptors Signaling in Inflammatory Bowel Disease-Are They New Targets of the Future?

*Corresponding author: P Vinod Kumar, Department of Pharmacology, Amala Institute of Medical Sciences, Thrissur, Kerala, India. Abstract Inflammatory bowel disorder is related to situations ulcerative colitis and Crohn’s disorder; however, its motive is unknown and the infection may be because of changing of intestine homeostasis with innate immunity performs a crucial position in spotting pathogens, hence keeping intestinal homeostasis. In 1985, Christiane Nüsslein-Volhard and Eric Wieschaus named it toll-like receptors because of the toll gene recognized in Drosophila. Toll-like receptors are known for their homeostasis of the immune system. The toll-like receptors from one to thirteen are expressed in humans and mice. Toll-like receptors signalling pathways are the myeloid differentiation factor 88-dependent pathway and TIR-domaincontaining adapter-inducing interferon-β-dependent pathway, ends in the induction or suppression of inflammatory response. It is important to keep homeostasis in the intestine and targeting toll-like receptor signalling has been a challenge, in treating many diseases. With new emerging nano-inhibitors, small molecule inhibitors, oligonucleotide, lipidanalogs, microRNAs that inhibits TLR signalling, to control excessive inflammation can we expect a new ray of hope emerging in the future?
Computational Prediction of lncRNA-Protein Interactions using Machine learning

Long non-coding RNAs have generated much scientific interest because of their functional significance in regulating various biological processes and also their dysfunction has been implicated in disease progression. LncRNAs usually bind with proteins to perform their function. The experimental approaches for identifying these interactions are time taking and expensive. Lately, numerous method on predicting lncRNA-protein interactions have been reported yet, they all have some prevalent drawbacks that limit their prediction performance. In this research, we proposed a computational method based on a similarity scheme that integrates features derived from sequence and structure similarities. When compared with the state of the art, the proposed method has achieved highest performance with accuracy and F1 measure of 98.6% and 98.7% using XGBoost as classifier. Our results showed that by combining sequence and structure based features the lncRNA protein interactions can be better predicted and can also complement the experimental techniques for this task.Clinical Relevance— The lncRNA-protein interactions play significant role in regulating various biological processes. This can help in providing early diagnosis and better treatment for cancer related diseases
Effectiveness SchemaTherapy on the Sexual and Familial Function of Woman sexless in Isfahan

اروفص یدسا ییاجاج ،یمومع یسانشناور یارتکد یوجشناد دازآ هاگشناد لیبدرا دحاو ،یسانشناور هورگ ناریا ،لیبدرا ،یملاسا . رتکد سابع یمساقلاوبا )لوئسم هدنسیون( ،نلایگ هاگشناد ،یناسنا مولع و تایبدا هدکشناد ،یسانشناور هورگ داتسا ،تشر ناریا . رتکد ارذع یرافغ دازآ هاگشناد ،لیبدرا دحاو ،یسانشناور هورگ داتسا ناریا ،لیبدرا ،یملاسا . رتکد دمحم ینامیرن ناریا ،لیبدرا ،یملاسا دازآ هاگشناد ،لیبدرا دحاو ،یسانشناور هورگ داتسا . Safoura Asadi Jajaei PhD Student, Department OF Psychology , Ardabil Branch , Islamic Azad University , Ardabil , Iran. Dr. Abbas Abolghasemi* Professor Department of Psychology , University of Guilan, Rasht, Iran. abolghasemi1344@Guilan.ac. ir Dr. Azra Ghaffari Professor Department OF Psychology , Ardabil Branch , Islamic. Azad University , Ardabil , Iran. Dr. Mohamad Narimani Professor Department OF Psychology , Ardabil Branch , Islamic Azad University , Ardabil , Iran.
Bottle-Feeding Intervention Detection in the NICU

Video-based monitoring of patients in the neonatal intensive care unit (NICU) has great potential for improving patient care. Video-based detection of clinical events, such as bottle feeding, would represent a step towards semi-automated charting of clinical events. Recording such events contemporaneously would address the limitations associated with retrospective charting. Such a system could also support oral feeding assessment tools, as the patient’s feeding skills and nutrition are pivotal in monitoring their growth. We therefore leverage transfer learning using a pretrained VGG-16 model to classify images obtained during an intervention, to determine if a bottle-feeding event is occurring. Additionally, we explore a data expansion technique by extracting similar-feature images from publicly available sources to supplement our dataset of real NICU patients to address data scarcity. This work also visualizes and quantifies the gap between the source domain (ImageNet data subset) and target domain (NICU dataset), thereby illustrating the impact of expanding our training set for knowledge transfer proficiency. Results show an increase of over 18% in sensitivity after data expansion. Analysis of network activation maps indicates that data expansion is able to reduce the distance between the source and target domains.