Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Shaping of Non-Conventional Permanent Magnet Geometries for Synchronous Motors via Surrogate Modeling and Multi-Objective Optimization Approach

A methodology is proposed for optimal shaping of permanent magnets with nonconventional and complex geometries, used in synchronous motors. The algorithm includes artificial neural network-based surrogate model and multi-objective search based optimization method that will lead to Pareto front solutions. An interior permanent magnet topology with crescent-shaped magnets is also introduced as the case study, on which the proposed optimal shaping methodology is applied. Produced torque per magnets mass and percentage torque ripple are considered as the objectives, in order to take both performance and cost into account. Multi-layer perceptron architecture used to create the approximated model is trained to fit the samples collected via time-stepping finite element simulations. The methodology can be easily generalized to offer a fast and accurate method to optimally define arbitrary permanent magnet shape parameters in various synchronous motors.
Sequences in Metabolic Rates and Elemental Composition (C, N, P) During the Development of Euphausia Superba Dana and Estimated Food Requirements During Its Life Span

ABSTRACT Some general trends over the life history of Euphausia superba in the rates of metabolic activities (O2 uptake, ammonia excretion, phosphate excretion) and in the elemental composition (C, N, P) are presented. The O2 uptake rate of the eggs is low (about 0.1 μl O2 mg dry wt–1 h–1), rising to a maximum in the calyptopis stage (1-2 μl O2 mg dry wt–1 h–1), then decreasing gradually as development proceeds towards mature adults. Phosphate excretion rates tend to decrease from the calyptopes to the mature adults, while ammonia excretion rates are rather constant throughout these developmental stages. Although no excretion measurements were made on the eggs and nauplii, the rates are thought to be low since these stages do not feed. The high C content of the eggs (55% of dry weight) has dropped markedly by the calyptopis (33%) but then rises gradually with development towards the mature adult (48%). The N content is rather stable throughout the development from eggs to mature adults (9–11%). The eggs contain a low content of P (0.5%), but P reaches its maximum value at the calyptopis stage (1.4%). The P content declines in the development from calyptopes to mature adults (0.7%). The total food requirement of E. superba during its life in the Southern Ocean is estimated by combining the metabolic data with the growth scheme proposed by Mauchline (1980) ("M-scheme"). With the M-scheme, E. superba having annual growth periods of 180, 150, and 120 days require 2,259 mg C, 2,102 mg C, and 2,848 mg C, respectively. This M-scheme assumes continued feeding during the Antarctic winter, with little growth and no moulting. An alternative scheme is proposed with regular moulting occurring over winter (despite the complete cessation of feeding) leading to a gradual shrinkage of body size ("MS-scheme"). In this scheme, the food requirements of E. superba with annual growth periods of 180, 150, and 120 days are reduced to 1,554 mg C, 1,532 mg C, and 1,703 mg C, respectively. The overall gross growth efficiency is 9–12% in the M-scheme and 15-17% in the MS-scheme.
BIOECOLOGIA DE Chrysoperla externa (Hagen, 1861) (NEUROPTERA: CHRYSOPIDAE) E ANÁLISE FAUNÍSTICA DA ARTROPODOFAUNA ASSOCIADA A PLANTAS DA FAMÍLIA APIACEAE

Tese apresentada a Universidade Federal de Lavras, como parte das exigencias do Programa de Pos Graduacao em Agronomia/Entomologia, area de concentracao em Entomologia Agricola, para a obtencao do titulo de Doutor.
New Monitoring Architectures for underwater oil/Gas Pipeline using Hyper sensors

In this paper we propose new real time architectures for monitoring underwater oil and gas pipelines by using underwater wireless sensor network (UWSN). New monitoring architectures for underwater oil/gas pipeline inspection system combine a real time UWSN with nondestructive In Line Inspection (ILI) technology. These architecture will help in reducing or detecting the pipeline’s defects such as cracks, corrosions, welds, pipeline’s wall thickness . etc by improving data transfer from the pipeline to the processor to extract useful information and deliver it to the onshore main station. Hence, decreasing delays in default detection.
Recent developments of metallic implants for biomedical applications

Medical implants have undoubtedly made an indelible mark on our world during the last century. More than 100 million humans carry at least one major internal medical device. The prosthesis industry has topped 50 billion US$ in annual sales, with approximately 150 universities throughout the world proposing an undergraduate program in bioengineering or biomedical engineering. Despite that, however, most medical devices have been constructed using a significantly restricted number of conventional metallic, ceramic, polymeric, and composite biomaterials. In this study, recent developments of metallic implants are summarized for biomedical applications. To do this, first desired properties for biomaterials are defined. Then, types of metallic biomaterials are classified as stainless steel, Mg, Co, Ti, nobble and biodegradable ones. After that, surface modifications are defined for corrugation, topographies and chemical modification. Finally, future perspective is outlined for the sake of development new materials as well as production point of view.
Impact de la microsporidie Nosema ceranae et d'insecticides neurotoxiques sur la santé de l'abeille domestique (Apis mellifera)

Apis mellifera est un insecte pollinisateur jouant un role economique et ecologique majeur. Depuis plus d’une vingtaine d’annees, d’importantes pertes de colonies d’abeilles ont ete recensees a l’echelle mondiale. L’origine de ce phenomene impliquerait de nombreux facteurs de stress qui pourraient en outre interagir entre eux. Ce travail de these a eu pour but d’evaluer l’impact sur la sante de l’abeille de l’association entre un facteur biotique, le parasite microsporidien Nosema ceranae, et un facteur abiotique, des insecticides neurotoxiques a faibles doses. Des etudes en laboratoire ont montre que l’association N. ceranae-insecticide entraine une surmortalite significative, et plus precisement un effet synergique sur la mortalite des abeilles. Cet effet synergique semble independant de l’ordre d’exposition des abeilles aux deux facteurs de stress. De plus, lorsqu’ils ont ete appliques des l’emergence des abeilles, ces facteurs ont eu un impact plus fort sur la mortalite. La reponse de l’abeille a N. ceranae et aux insecticides a ensuite ete analysee a l’echelle transcriptomique. L’analyse du transcriptome de l’intestin a ete realisee en combinant une approche globale de sequencage a haut debit (RNA-Seq) et un suivi de l’expression d’une selection de genes par qRT-PCR. L’exposition a N. ceranae et aux insecticides a entraine des modifications de l’expression de genes impliques dans les defenses de l’abeille (immunite, detoxication) et dans les metabolismes du trehalose et de la chitine. De nombreuses perspectives a ce travail sont envisageables dans le but de mieux apprehender la reponse de l’abeille a differents facteurs de stress, notamment en combinant des experimentations en laboratoire avec des etudes de terrain.
A Method to Determine the Electret Charge Potential of MEMS Vibrational Energy Harvester Using Pure-White Noise

A high-speed measurement method has been developed to electrically determine the potential voltage of the permanent charge or electret formed in a MEMS (microelectromechanical systems) vibrational energy harvester. While the conventional admittance method requires long time to observe the waveforms of the output power in time domain that diminishes when the built-in electret potential is compensated by an external voltage, this work proposes a new method to uniquely and promptly determine the electret potential by using the FFT (fast Fourier transform) analysis on the vibrational energy harvester excited by the white-noise voltage; the resonant peak in the frequency domain diminishes when the electret potential is compensated by the applied external bias voltage. White noise has been used in conventional method to measure the frequency response of devices of linear characteristics. However, due to the randomness of the input signal, random noise is inherently introduced to the measurement result, which urges us to repeat the measurement and to perform time-averaging to smooth out the noise. Therefore we used a newly developed white noise so-called “pure” white noise, which has a totally flat power spectrum, as it is synthesized from waveforms of a constant magnitude and random phases. We compute the inverse Fourier transform of such pure-white noises to instantly obtain the power spectrum without using mathematical averaging, and thus the throughput of measurement is enhanced ten-times faster.
Electromagnetic Field Based WPT Technologies for UAVs: A Comprehensive Survey

Wireless power transfer (WPT) techniques are important in a variety of applications in both civilian and military fields. Unmanned aerial vehicles (UAVs) are being used for many practical purposes, such as monitoring or delivering payloads. There is a trade-off between the weight of the UAVs or their batteries and their flying time. Their working time is expected to be as long as possible. In order to support the UAVs to work effectively, WPT techniques are applied with UAVs to charge secondary energy supply sources in order to increase their working time. This paper reviews common techniques of WPT deployed with UAVs to support them while working for different purposes. Numerous approaches have been considered to illustrate techniques to exploit WPT techniques. The charging distances, energy harvesting techniques, electronic device improvements, transmitting issues, etc., are considered to provide an overview of common problems in utilizing and charging UAVs. Moreover, specific problems are addressed to support suitable solutions with either techniques or applications for UAVs.
Drivers for international construction joint ventures adoption: a systematic literature review

Abstract Recognizing that there exist discrete sets of factors driving the adoption of international construction joint ventures (ICJVs) for different countries, organizations, and stakeholders, this study aims to identify the driving factors, and integrate them into a classification framework for better understanding. The Virtual Libraries (VLs) of respective journals were accessed directly to retrieve the related papers for the study. Popular search engines such as Google Scholar, the Web of Science, and Engineering Village were also used to complement the search process. From the review, universal drivers that promote the adoption of ICJV have been identified for policymakers and stakeholders’ realization. The UK, Australia, Singapore, Turkey, and China have been the top countries noted for pioneering ICJV drivers’ research. While the bulk of studies has come from developed countries, developing countries have also made a significant contribution. A conceptual framework has been developed to guide, determine, and assess the success of ICJVs based on 47 identified drivers. The framework consists of five major constructs of ICJV drivers: legal and market-driven drivers, strategic vision drivers, organizational and personal goal drivers, relationship building and operational success drivers, and capacity building drivers. These drivers act as a blueprint for the parties to the venture and could be used to determine the success and failure dynamics of ICJVs. The developed framework serves as a guide for all industry practitioners and decision-makers interested in adopting an ICJV. Further, it can facilitate the development of appropriate and effective policies by government agencies to promote the adoption of ICJVs. Moreover, the checklist and framework provide a strong foundation for researchers to conduct a further empirical investigation on the topic.
Wound Repair, Regeneration and Artificial Tissues

This book is about the cellular and molecular mechanisms of vertebrate wound repair, tissue regeneration, and appendage regeneration. Each of these processes is described, and similarities and differences among them are discussed. Among others there are chapters on wound repair and tissue regeneration, urodele limb regeneration, the stimulation of regeneration, and the creation of artificial tissues and organs. Finally, the book aims to bring together topics of interest to basic biomedical and clinical scientists, and to stimulate research collaborations between these two groups.
Multi-Label Classification of Historical Documents by Using Hierarchical Attention Networks

The quantitative analysis of digitized historical documents has begun in earnest in recent years. Text classification is of particular importance for quantitative historical analysis because it helps to search literature efficiently and to determine the important subjects of a particular age. While numerous historians have joined together to classify large-scale historical documents, consistent classification among individual researchers has not been achieved. In this study, we present a classification method for large-scale historical data that uses a recently developed supervised learning algorithm called the Hierarchical Attention Network (HAN). By applying various classification methods to the Annals of the Joseon Dynasty (AJD), we show that HAN is more accurate than conventional techniques with word-frequency-based features. HAN provides the extent that a particular sentence or word contributes to the classification process through a quantitative value called ’attention’. We extract the representative keywords from various categories by using the attention mechanism and show the evolution of the keywords over the 472-year span of the AJD. Our results reveal that largely two groups of event categories are found in the AJD. In one group, the representative keywords of the categories were stable over long periods while the keywords in the other group varied rapidly, exhibiting repeatedly changing characteristics of the categories. Observing such macroscopic changes of representative words may provide insight into how a particular topic changes over a historical period.
The Female and the Male Professional: Gender, Career and Expatriation Interfaces in Trajectory for Female Expatriates

While the organizational world has been experiencing the phenomenon of expatriation, the availability of mobile and international careers stand out. The differences in the expatriate experience are gendered, and few studies focus primarily on the experiences of women. This research aims to analyze the construction of the career trajectories of 19 Brazilian expatriate women, using as conceptual bases the interfaces of gender, career, and expatriation. The experiences of the participants come near to each other but compose unique trajectories, including in their personal life and professional field. The study highlights a way of being and acting in the work environment, understood as “the” model of a professional woman expatriate, who intercalates elements perceived as masculine and/or feminine. The construction of this trajectory is anchored by elements that build and influence it: personal characteristics, support and family influence, affective relationships, motherhood, professional plans and organizations in which they work, and countries of destination. With the results, possible paths are envisioned for other women seeking this experience, considering the foregrounded implications shown by this study.
Quantitative Evaluation of Channel Micro-Doppler Capacity for MIMO UWB Radar Human Activity Signals Based on Time–Frequency Signatures

A novel quantitative method to evaluate channel micro-Doppler capacity of multiple-input and multiple-output (MIMO) system is proposed here. The method is valid for ultrawideband (UWB) MIMO radar human activity systems based on time–frequency signatures, and the quality measure will be noted as a relative signal to noise ratio (RSNR). The method quantifies these signatures and evaluates the relative superiority or inferiority of these MIMO channels. Examples of micro-Doppler signature (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>Ds) characteristics of human activities in a channel will be considered and compared to that of all other channels. First, the MIMO UWB radar human activity signal is modeled, and its corresponding time–frequency (<inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$F$ </tex-math></inline-formula>) characteristics are analyzed to justify the rationality of using the new RSNR metric. Second, the method is evaluated using experimental data and the capability of distinguishing the <inline-formula> <tex-math notation="LaTeX">$\mu \text{D}$ </tex-math></inline-formula> capacity differences among channels is demonstrated. This new method clearly and accurately shows much better visible <inline-formula> <tex-math notation="LaTeX">$\mu \text{D}$ </tex-math></inline-formula> evaluation performance than that of the conventional signal to noise ratio in time domain (<inline-formula> <tex-math notation="LaTeX">${\mathrm {SNR}}_{t}$ </tex-math></inline-formula>). Moreover, this evaluation method can still work well, even for signals with low signal to noise ratio (SNR) down to −4-dB level. Therefore, it can be successfully used to select the superior channels and eliminate any inferior channels or provide confidence coefficients for the collected multiple channel data of human activities. This method should lead to a significant reduction of the inferior channels’ influence on further MIMO-based classification or imaging of human activities.
High port isolation of a dual polarized microstrip antenna array using DGS

ABSTRACT In this paper, high port isolation in dual feed orthogonally polarized square patch antenna array is achieved by the use of Defected Ground Structure (DGS). A simple rectangular-headed cross DGS is implanted in the ground plane underneath the square patch in order to achieve high port isolation between two orthogonal ports at 2.95 GHz. The proposed design offers 58.55 dB port isolation between ports of single element patch and 45 dB that for two-element arrays. The port isolation of microstrip antenna with and without DGS has been studied and the result indicates better port isolation of the array with high cross polarization for two orthogonal polarizations owing to the effect of DGS. Finally, the two-element array is considered for MIMO application and mutual coupling between them is investigated. The simulated results of the proposed antennas are found to be in close agreement with the experimentally measured ones.
Effects of cross-functional integration on NPD success: mediating roles of customer and supplier involvement

The purpose of this study is to explore how cross-functional integration (CFI) influences external partner involvement and subsequently promotes new product development (NPD) project success. On the basis of survey data collected from 297 manufacturers around the world, structural equation modelling and bootstrapping approaches are used to test the proposed research model. The findings of this study reveal that CFI not only directly promotes NPD success but also does so indirectly by enhancing external partner involvement (i.e. customer and supplier involvement). The results provide a theoretical contribution to the study of CFI and also extend our practical understanding of the underlying mechanisms that CFI improves NPD performance via involving external supply chain partners in NPD projects more efficiently.
PARANASAL SINUS ANATOMICAL DIFFERENCES IN ELDERLY PATIENTS

Introduction: Endonasal endoscopic sinus surgeries performed on elderly patients can be challenging due to anatomical variations, and can be studied using preoperative computed tomography. The aim of the present study was to evaluate paranasal sinus anatomical differences in elderly patients compared to a younger control group. Materials and Methods: We retrospectively evaluated paranasal computed tomography scans of 47 elderly patients (>65 years old) (Elderly group) and 47 younger patients (Control group) for midfacial skeletal size (interzygomatic buttress distance, nasion-basion distance), anatomical variations, dimensions, and paranasal sinus volumes. Results: The mean age of the Elderly group was 69.89 years (65-81 years) and the mean age of the Control group was 33.15 years (20-49 years). There was no significant difference in midfacial size between the two groups. The prevalence of Keros Type III olfactory fossa was significantly higher in the Elderly group than in the Control group (p<0.05). The Elderly group had a significantly lower mean maxillary sinus volume (p<0.01) and mean anteroposterior diameter of the sphenoid sinus (p<0.01) compared to the Control group. Furthermore, there was no significant difference in the maxillary sinus volume between the elderly edentulous and dentulous patients(p>0.05). Conclusion: Elderly patients have more Keros Type III olfactory fossa, which confers a higher risk of iatrogenic cerebrospinal fluid leakage during endoscopic sinus surgery. The preoperative detailed evaluation of computed tomography scans of elderly patients should include, but not be limited to, the ethmoid roof for deep olfactory fossa, and the sphenoid sinus for its narrow anterioposterior dimention.
Knee orientation detection in MR scout scans using 3D U-net

Purpose: Detecting knee orientation automatically from scout scans with high speed and accuracy is essential to a successful workflow of MR knee imaging. Although traditional methods of image processing such as rigid image registration and object detection are potentially available solutions, they are sensitive to image noise such as missing features due to the metal implants and anatomical variability in knee size and tissue composition. Method: In this study, a segmentation-based approach was proposed to calculate a 3-D transformation matrix that defined 3-D knee orientation using low-res MR scout scans. Specifically, 3-D U-net was used to segment a plane that was parallel to the knee meniscus plane and reconstruct the plane norm as one of the vectors (v1) needed for a 3d transformation matrix. A separate model of 3-D U-net was then trained to segment another plane that was perpendicular to the meniscus and reconstruct the plane norm as v2. A linear 3-D transformation matrix was then obtained for each patient case in 14 testing subjects that were initially manually rotated in small (group S) and large (group L) degrees for training. Angle corrected images were also visually compared against their corresponding ground truth. Results: The average of v1 and v2 error in group S were 5.62° and 5.12° , respectively, whereas the error average of these two vectors were 6.65° and 8.25° , respectively for group L. The standard deviation for v1 and v2 in group S and L were 2.51° , 2.84° , 5.65° , and 7.65° , respectively. The Dice similarity coefficient (DSC) of reconstructed v1 and v2 planes were 0.78, 0.70, 0.71, and 0.65 for group S and L. The qualitative assessment further showed consistent knee representation after correction for knees with heavy distortion and fatty tissue. Conclusion: Initial results suggest that our approach has the potential to automatically correct for small knee rotations commonly seen in clinical setting and is robust even under stress test for knees with anatomical structures (e.g. fatty tissue) that were even absent in the training data set and that appear heavily distorted.