Miracle-dz/UniFAR-FTUs huggingface dataset:
LiDAR-based SLAM algorithm for indoor scenarios

— Simultaneous Localization and Mapping (SLAM) algorithms are one of the elements that have great relevance for autonomous driving in order to locate the vehicle, even in areas in which other methods have difficulties, or to improve the positioning given by these other systems. It also offers knowledge of the scenario in which the vehicle moves, information that can have multiple uses. There are several solutions to the SLAM problem using Light Detection and Ranging (LiDAR), but these algorithms require a high computational cost. However, certain environments with a specific structure allow the use of more simplified algorithms. Specifically, this paper shows a SLAM algorithm where only the LiDAR signal is used and vertical planes are taken as reference (perpendicular to the ground plane). This solution is quite effective in some scenarios, such as indoor parking areas. In addition, various alternatives are explored to increase the robustness of the results of positioning and mapping reconstruction. The algorithm has been tested in real scenarios with satisfactory results.
An Extension of the sl 2 Weight System to Graphs with n ≤ 8 Vertices

Chord diagrams and 4-term relations were introduced by Vassiliev in the late 1980. Various constructions of weight systems are known, and each of such constructions gives rise to a knot invariant. In particular, weight systems may be constructed from Lie algebras as well as from the so-called 4-invariants of graphs. A Chmutov–Lando theorem states that the value of the weight system constructed from the Lie algebra sl 2 on a chord diagram depends on the intersection graph of the diagram, rather than the diagram itself. This inspired a question due to Lando about whether it is possible to extend the weight system sl 2 to a graph invariant satisfying the four term relations for graphs. We show that for all graphs with up to 8 vertices such an extension exists and is unique, thus answering in afﬁrmative to Lando’s question for small graphs.
Advanced Stochastic Modeling of Railway Track Irregularities

As an important interference source of railway vibration, track irregularity is studied in this paper. It is presented that irregularities in the vertical profile and alignment can be modeled as a Gaussian random process. The power spectral density (PSD) of the irregularity is calculated and discussed. By analyzing the model, level-crossing properties as well as peak statistics are studied and compared with the observed data.
Non-Coding RNAs and Cancer

Non-coding RNAs (ncRNAs) are actively transcribed by regions of the mammalian transcriptome that do not encode proteins. ncRNAs are divided into several groups, the most studied members microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) are identified as important key players in the regulation of gene expression, and they are involved in various cellular processes and disease pathogenesis, including cancer. In recent years, increasing experimental evidence have shown that ncRNAs functions of great importance for cancer mechanisms since they are deeply associated with the oncogenes and tumor suppressor networks. Thus, ncRNAs are identified as potential diagnostic biomarkers and therapeutic targets for cancer diagnosis, prognosis and therapies. In this review, it is aimed to summarize the functional roles of ncRNAs on cancer mechanisms and highlight the promising applications of ncRNAs for cancer treatment.
Multi-modal Framework for Fetal Heart Rate Estimation: Fusion of Low-SNR ECG and Inertial Sensors

This study presents a novel multi-modal framework for fetal heart rate extraction, which incorporates wearable seismo-cardiography (SCG), gyro-cardiography (GCG), and electrocardiography (ECG) readings from ten pregnant women. Firstly, a signal refinement method based on empirical mode decomposition (EMD) is proposed to extract the desired signal components associated with fetal heart rate (FHR). Afterwards, two techniques are developed to fuse the information from different modalities. The first method, named early fusion, is intended to combine the refined signals of different modalities through intra-modality fusion, intermodality fusion, and FHR estimation. The other fusion approach, i.e., late fusion, includes FHR estimation and intermodality FHR fusion. FHR values are estimated and compared with readings from a simultaneously-recorded cardiotocography (CTG) sensor. It is demonstrated that the best performance belongs to the late-fusion approach with 87.00% of positive percent agreement (PPA), 6.30% of absolute percent error (APE), and 10.55 beats-per-minute (BPM) of root-meansquare-error (RMSE). Clinical Relevance— The proposed framework allows for the continuous monitoring of the health status of the fetus in expectant women. The approach is accurate and cost-effective due to the use of advanced signal processing techniques and lowcost wearable sensors, respectively.
The EGTC, transformative and innovative governance and national boundaries

The paper focuses on the power of the EGTC to provide participatory governance patterns, while considering the obstacles and (national) boundaries that define it. Besides diverse administrative and public actors on different layers, this legal instrument is also acting for and is stipulated by the local dimension and can act in the name of the local and regional citizenry. The EGTC, in this context, is considered as a cross-border supraregional institutional framework to implement a bottom-up, civil society and citizen-driven euroregional policy; to construct an everyday international cross-border living lab standing for solidarity and reconciliation and contributing to the fortification and establishment of a Europe of the cross-border regions. Within this paper an analytical model of participatory governance of cross-border regions in the EU will be presented and applied to analyze briefly four EGTC case studies: The EGTC GaliciaNorte de Portugal; EGTC South Tyrol-Tyrol-Trentino; the EGTC StrasbourgOrtenau; and the EGTC TransOderana (under construction).
Corn-Soybean Tillage Systems: Erosion Control, Effects on Crop Production, Costs

ABSTRACT SEVEN tillage systems for producing corn and soybeans were compared in terms of erosion control, effects on production, and cost. The systems were fall moldboard plow and six conservation tillage systems; spring moldboard plow, disk-chisel, coulter-chisel, chisel, disk, and plant. Conservation tillage systems greatly reduced soil loss caused by simulated rain. Yields tended to be lower with conservation tillage. Total costs for the different systems were equivalent. The lower soil loss resulting from conservation tillage is so important that a continued effort must be made to overcome the detriments so that the practice is acceptable to most farmers.
A Study on Measures to Improve Quality of Work Life

Quality of Work Life (QWL) can be defined as the satisfaction a person develops for his or her career, allowing them to enhance their personal lives through their work and work environment. One must have both love and work in one’s life to make it healthy. Gone are the days when the priority of employees used to be for physical and material needs. With the increasing shift of the economy towards knowledge economy, the meaning and quality of work life has undergone a drastic change. Quality of Work life naturally means the life of workers, physical and intellectual, in their work environment in office or factory or field-working. What is expected of the worker? What are the conditions of the work place? What is the compensation that the worker gets? What are the incentives offered to him? How about his contentment with the work environment and the compensation? These are the questions to be tackled by the Researcher in any study of work life. Quality of work Life is referred to as humanizing the working life and emphasizing the human factor. It mostly refers to favourableness’ or unfavourableness of a job environment for the people involved in it.
Simultaneous Quantification of Personalized Balance, Motion Class and Quality for Whole-body Exercise through Synergy Probe

Recently, emerging technologies are being used to solve state of the art problems in rehabilitation and physiotherapy. The increasing power of portable sensors is making a great choice for analysis of movements during daily activities. We previously developed a method to personalize the measure of balance only using kinematic data from Kinect. This paper presents the results of simultaneous quantification for the postural balance, motion classification and its quality with Synergy Probe. Previously, it was not possible to verify what happens when the motion balance is unstable. With motion quality index along with the stability, we can quantitatively evaluate the balance stability considering the motion class and its intensity during whole-body exercise.
The Effect of Aerobic Exercise with Nonlinear Pedagogy on Anxiety, Depression, Motor Proficiency and Cognitive Ability of Boys with Attention Deficit Hyperactivity Disorder

Background: This study investigated the effects of the aerobic exercise with music on anxiety, depression, motor proficiency, and cognitive ability of boys with Attention Deficit Hyperactivity Disorder (ADHD). Methods: This is a quasi-experimental study. Participant’s comprised a convenience sample of 36 boys with ADHD. The experimental group (N=18) practiced in non-linear pedagogy (M years=11.32, SD=1.00), whereas the control group (N=18) performed (M years=11.26, SD=0.92) usual school activities in the traditional method. Results: After participating in the 8-week aerobic training program, motor proficiency, anxiety, depression, working memory, perceptual reasoning, and processing speed were improved in the experimental group compared to the control group (P<0.001). Conclusion: Based on these findings, among the ADHD children, incorporating music into sports can affect children’s anxiety, depression, motor proficiency, and cognitive ability. Increasing participation by incorporating music into sports such as aerobics, can affect children’s anxiety, depression, motor proficiency, and cognitive ability. 2021© The Authors. Published by JRSR. All rights reserved. Journal of Rehabilitation Sciences and Research Journal Home Page: jrsr.sums. ac.ir Please cite this article as: Mohammadi Orangi B, Yaali R, Ghorbanzadeh B, Loprinzi P, Ebdalifar A. The Effect of Aerobic Exercise with Nonlinear Pedagogy on Anxiety, Depression, Motor Proficiency and Cognitive Ability of Boys with Attention Deficit Hyperactivity Disorder. JRSR. 2021;8(3):144-150.
Water Droplet Impingement on Airfoils and Aircraft Engine Inlets for Icing Analysis

This paper includes the results of a significant research program for verification of computer trajectory codes used in aircraft icing analysis. Experimental water droplet impingement data have been obtained in the NASA Lewis Research Center Icing Research Tunnel for a wide range of aircraft geometries and test conditions. The body whose impingement characteristics are required is covered at strategic locations by thin strips of moisture absorbing (blotter) paper and then exposed to an airstream containing a dyed-water spray cloud. Water droplet impingement data are extracted from the dyed blotter strips by measuring the optical reflectance of the dye deposit on the strips with an automated reflectometer. Impingement characteristics for all test geometries have also been calculated using two recently developed trajectory computer codes. Good agreement is obtained with experimental data. The experimental and analytical data show that maximum impingement efficiency and impingement limits increase with mean volumetric diameter for all geometries tested. For all inlet geometries tested, as the inlet mass flow is reduced, the maximum impingement efficiency is reduced and the location of the maximum impingement shifts toward the inlet inner cowl.
High gain 60 GHz antipodal fermi tapered slot antenna with sine corrugation

A millimeter‐wave antipodal Fermi tapered slot antenna configured with a new corrugation is presented. The corrugation has a sine wave profile for improved design flexibility and radiation performance. The effect of the sine‐corrugation parameters is presented in detail, and the optimized design is compared with the measured prototype. The antenna is fabricated using a low‐cost printed circuit board process. The measured bandwidth of the antenna covers a wide band (55–65 GHz) with a measured gain of 18.75 dB at 60 GHz. With these features, the antenna is suitable for short‐range wireless communications and imaging applications. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:6–9, 2015
Descriptive route choice analysis of cyclists in Zurich

This paper presents (preliminary) results of a descriptive route choice analysis of cyclists in Zurich. Raw GPS trajectories from the MOBIS-COVID dataset are matched to an enriched OSM network. Two diﬀerent map-matching algorithms are evaluated based on their sensitivity to hyper-parameters as well as diﬀerent network conﬁgurations. The results of this paper lay the ground work for future modelling of the data using discrete route choice frameworks.
Chapter 2-Impulsive behavior in drug addiction: Clinical, cognitive, and neural correlates

Our ability to exercise self-control and to adjust our behavior when evaluating potential negative consequences of our actions is essential for our overall quality of life, development of healthy habits and achievement of our goals. People who are high in impulsivity exhibit poor self-control and emotional instability, which manifest in behaviors that might be risky and inappropriate, and often lead to negative and undesirable consequences (Gay, Schmidt, & Van der Linden, 2011). Thus, these individuals often feel powerless, weak, and ashamed due to their lack of control over their impulsive behaviors (Grant & Kim, 2003). Furthermore, such individuals often experience heightened anxiety, depressive moods, low self-esteem and increased stress associated with their impulsive behaviors (Grant & Kim, 2003). Impulsivity has been shown to play a significant role in the onset, development, and maintenance of drug addiction (Argyriou, Um, Carron, & Cyders, 2018), the development and maintenance of binge eating problems and binge eating disorder, and a greater degree of gambling severity (Kim et al., 2018). It has been associated with hypersexuality (Bőthe et al., 2018), higher frequency of suicide attempts (Colborn et al., 2017), and higher aggression (Hecht & Latzman, 2015). Impulsivity is a complex aspect of human behavior. Despite numerous studies investigating the clinical and cognitive aspects of impulsivity, it has yet to be properly classified (Parry & Lindsay, 2003). Definitions describing this phenomenon incorporate “behaviours that are poorly conceived, premature, inappropriate and that frequently result in unwanted and deleterious outcomes” (Chamberlain & Sahakian, 2007). Impulsivity has been defined as a “predisposition towards rapid, unplanned reactions to internal and external stimuli Chapter 2
Low-loss plastic molded optical multifiber connector for ribbon-to-single fiber fan-out

This paper describes a newly developed low-loss demountable multifiber connector for ribbon-to-single optical fiber fan-out. The connector plugs contain special gathering parts that make a high-density arrangement for monocoated optical fibers. Using a multi-V-grooved mold, the optical fibers are accurately positioned and then a plastic formation process is adopted to form the plug. Plugs are precisely aligned by using two pins. An average connecting loss of 0.07 dB has been achieved in the stationary mode distribution with index matching. The change in connecting loss did not exceed ± 0.03 dB when the connector was subjected to heat cycles in a temperature range of -30-+60\deg C.
Study of the Possibility of Creating Autonomous Low-Power Thermal Power Plants Using Alternative Energy Sources

The areas of use of low - capacity power plants are very wide: industrial enterprises, medical institutions, residential cottages, business centers and other objects of large cities; main gas pipelines, gas distribution stations, oil pipelines that need energy supply for normal operation; enterprises for processing household waste; developing areas of the country where there are currently no energy sources and power lines; energy-deficient areas of the Far North, Far East, and some Non-Chernozem regions; small towns, cottage settlements and villages, in many of them the issue of centralized heat supply; large livestock farms, enterprises for processing agricultural products, enterprises of the logging industry, etc. In this study, an important problem for oil fields is considered - utilization of associated petroleum gas. Low-power power plants are considered as a combustion engine. It is important to note that high-quality fuel treatment is required for internal combustion engines or gas turbines. The proposed scheme of associated gas utilization based on a small power plant is not fuel-intensive. Studies of compressor and turbine matching are presented, resulting in an optimal range of operating areas. These results allow us to determine the limitations for the operation of the power plant.
Torque ripple minimization in switched reluctance motor drives by PWM current control

Higher torque ripple is one of the few drawbacks of switched reluctance motor (SRM) drives, which otherwise possess excellent characteristics for applications in many commercial drives. This paper begins with an extensive review of torque ripple reduction methods that appear in the literature and then presents a new strategy of PWM current control for smooth operation of the drive. This method includes a current control strategy during commutation when torque ripple minimization is of utmost importance. <<ETX>>
The no-gain property for networks containing three-terminal elements

Necessary and sufficient conditions are presented such that a three-terminal element is a "no-gain element," that is, such that any connected network containing that element, positive resistors, and independent sources, possesses the familiar no-voltage-gain and no-current-gain properties. The implications of the results are discussed, when applied to networks containing various three-terminal semiconductor devices such as bipolar transistors, field-effect transistors, and siliconcontrolled rectifiers. In particular, it is shown how one can establish that such elements are no-gain elements. Furthermore, it is shown that three-terminal elements are not no-gain elements as a consequence of their passivity, but rather, that the converse is in fact true. Finally, the nogain property is used to extend significantly an earlier result wherein the existence of solutions to the dc equations of certain classes of transistor circuits is proved.
Analysis of laser phase noise to intensity noise conversion by chromatic dispersion in intensity modulation and direct detection optical-fiber transmission

Laser phase noise conversion to intensity noise due to fiber chromatic dispersion is analyzed by deriving the noise power spectral density. Theory predicts that the phase-modulation-amplitude-modulation conversion noise is a principal limiting factor of the gigabit-per-second nonregenerative transmission using an external modulator when the linewidth of the laser transmitter is above several tens of megahertz and the total chromatic dispersion of fibers exceeds several thousand picoseconds per nanometer. This fact is confirmed by the 2.4-Gb/s transmission experiments using multiple inline Er-doped fiber amplifiers. The system penalty due to this noise in the intensity modulation and direct detection (IM-DD) optical transmission using an external modulator is evaluated. >
Trajectory Plotting Algorithm for a Self-Driving Road Grader

The deployment of self-driving technologies occurs in various industries and economic sectors. Self-driving taxi cabs can be found in city streets, in Russia as well as in other countries. The introduction of self-driving technologies in construction, namely, construction machinery, is a promising area that will develop rapidly in the nearest few years. A road grader is the construction machine whose control algorithms resemble those of selfdriving cars the most. One of the first development stages for the self-driving road grader is trajectory plotting. This article presents the developed trajectory plotting algorithm for the road grader taking into account its design features (minimum turn radius).
MODELING NONLINEAR IRREGULAR WAVES IN RELIABILITY STUDIES FOR OFFSHORE WIND TURBINES

While addressing different load cases according to the IEC guidelines for offshore wind turbines, designers are required to estimate long-term extreme and fatigue loads; this is usually done by carrying out time-domain stochastic turbine response simulations. This involves simulation of the stochastic inflow wind field on the rotor plane, of irregular (random) waves on the support structure, and of the turbine response. Obtaining realistic response of the turbine depends, among other factors, on appropriate modeling of the incident wind and waves. The current practice for modeling waves on offshore wind turbines is limited to the representation of linear irregular waves. While such models are appropriate for deep waters, they are not accurate representations of waves in shallow waters where offshore wind turbines are most commonly sited. In shallow waters, waves are generally nonlinear in nature. It is, therefore, of interest to assess the influence of alternative wave models on the behavior of wind turbines (e.g., on the tower response) as well as on extrapolated long-term turbine loads. The expectation is that nonlinear (second-order) irregular waves can better describe waves in shallow waters. In this study, we investigate differences in turbine response statistics and in long-term load predictions that arise from the use of alternative wave models. We compute loads on the monopile support structure of a 5MW offshore wind turbine model for several representative environmental states where we focus on differences in estimates of the extreme tower bending moment at the mudline due to linear and nonlinear waves. Finally, we compare long-term load predictions using inverse reliability procedures with both the linear and nonlinear wave models. We present convergence criteria that may be used to establish accurate 20-year loads and discuss comparative influences of wind versus waves in long-term load prediction.Copyright © 2009 by ASME
Combined principal component analysis and proportional hazard model for optimizing condition-based maintenance

Large companies are investing heavily in digitalization to be more competitive and economically viable. Hence, physical assets and maintenance operations have been digitally transformed to transmit a high volume of data, e.g., condition monitoring data. Such high-volume data can be useful to optimize maintenance operations and minimize maintenance and replacement costs. A tool to optimize maintenance using condition monitoring data is the Proportional hazard model (PHM). However, it is challenging to implement PHM for industrial complex systems that generate big data. Therefore, machine learning algorithms shall support PHM method to handle such a high volume of data. Thus, the purpose of this paper is to explore how to support PHM with Principal Component Analysis (PCA) to maintenance optimization of complex industrial systems. A case study of hydraulic power unit was purposefully selected to apply and validate the proposed analytical approach. The results show that PCA supported PHM optimizes and extends the preventive maintenance interval by 79.27% which might lead to maintenance cost reductions. This model enables PHM to handle complex systems where big data is collected.