Miracle-dz/UniFAR-FTUs huggingface dataset:
3-DIMENSIONAL ANALYTICAL SOLUTION FOR LUNAR DESCENT SCHEME

Lunar and Mars landing is a crucial part of any exploration mission. Its importance is manifested by the considerable interest in the past couple of decades. Solution of lunar descent can be either numerical or analytical. Numerical solutions are iterative and computationally demanding and some of them might not be suitable for on-board implementation. On the other hand, analytical solutions are not complex and are much more attractive for the same purposes. All the present analytical solutions schemes are two dimensional considering only altitude and down range to describe the reference trajectories of a lunar descent. The main contribution of this paper is the development of 3-dimensional analytical solution for the reference trajectory which is crucial for a precise landing of a lunar spacecraft. In this investigation cross range distance is incorporated for complete representation. Comparisons are made by simulated responses between numerical and analytical solutions. Detailed mathematical derivations are presented in this paper as well.
A Side-Edge Frame Printed Eight-Element Antenna Array for Quad-Band MIMO Operations in the 5G Smartphone

In this article, an eight-element antenna array operating in the 2.6/3.5/4.9/5.2-GHz quad-band for 8×8 multi- input multi-output (MIMO) operation in the 5G (fifth-generation) smartphone is presented. The proposed antenna array is formed by eight identical antenna elements printed on the inner surface of the side-edge frame of the smartphone casing. Simulated results show that the impedance bandwidth of each antenna element can fully cover quad-band of 2496-2690/3400-3600/4800- 5000/5150-5350 MHz for reflection coefficient less than -6 dB (3:1 VSWR). Besides, desired gain, 3-D radiation patterns, total efficiency (more than 40%) are simulated and presented. In addition, good ECC (Envelope Correlation Coefficient) of less than 0.2 for any two antenna elements and acceptable isolation (better than 10.8-dB) are also obtained.
Synchronized Swimming and Formation Control for Fish-inspired Underwater Vehicles

Title of Thesis: SYNCHRONIZED SWIMMING AND FORMATION CONTROL FOR FISH-INSPIRED UNDERWATER VEHICLES Paul Ghanem Master of Science in Systems Engineering 2019 Thesis directed by: Professor Derek A. Paley Department of Aerospace Engineering Multi-vehicle underwater control has different applications in oceanographic sampling and water pollution monitoring. Previous work in this field generated control laws that stabilizes parallel and circular formations of self-propelled particles in addition to consensus control laws in Euclidean space and nonlinear spaces. This thesis presents second order distributed control systems that generate velocity and phase consensus, parallel motion and circular motion for a number of nonlinear agents on the tangent bundle of the N -torus. The nonlinear agents considered in this work are underwater fish inspired vehicles modeled by Chaplygin sleigh dynamics. This work uses the Laplacian matrix of a connected interaction graph to achieve phase and velocity consensus on a periodic orbit and to generate average circular motion of all the agents on the same circle. Second, a phase potential is used to generate average parallel motion. Results are illustrated using numerical simulations. SYNCHRONIZED SWIMMING AND FORMATION CONTROL FOR FISH-INSPIRED UNDERWATER VEHICLES by Paul Ghanem Thesis submitted to the Faculty of Engineering of the Graduate School of the University of Maryland, College Park in partial fulfillment of the requirements for the degree of Master of Science 2019 Advisory Committee: Professor Advisor Derek Paley, Chair Professor Nikhil Chopra Professor Mumu Xu c © Copyright by Paul Ghanem 2019
Fragmentation, Negotiation and Ethnicity in Barbara Nadel’s Inspector kmen Series

Artikkelissa tarkastellaan väkivallan, rikollisuuden ja monikulttuurisuuden kytköksiä neljässä brittiläisen dekkaristin Barbara Nadelin Istanbuliin sijoitetussa rikosromaanissa. Ne ovat Beshazzar’s Daughter (1999), Arabesk (2001), Deep Waters (2002) ja Dead of Night (2012). Väkivaltaa tarkastellaan suhteessa historiaan, paikkaan ja tilaan, sekä materiaalisiin käytäntöihin, jotka toimivat identiteettien rakennusaineina monikulttuurisessa tilanteessa. Representaatio ja hybridiys ovat keskeisiä käsitteitä, joiden avulla eri ihmisryhmien kollektiivisten ja yksilöllisten identiteettien rakentumista tarkastellaan suhteessa kussakin romaanissa muodostuvaan yhtenäisen identiteetin normiin. Artikkelin mukaan romaanit korostavat ajatusta siitä, että normiin sitoutuminen ja kulttuurisen hybridiyden torjuminen tuottaa väkivaltaa monikulttuurisessa tilanteessa. Kertoessaan tarinoita väkivallan syistä ja seurauksista eri etnisten ryhmien sisällä ja välillä, romaanit tuovat esiin paitsi monikulttuurisuuteen liittyviä ongelmia, myös sen tuottamia mahdollisuuksia. Niiden yhteiskunnallinen viesti korostaa dialogia keinona konfliktien välttämiseen.
Are Exporters More Likely to Introduce Product Innovations?

A firm\'s export status may improve its capacity of introducing product innovations. We explore this idea using very rich firm-level data on Italian A firm\'s export status may improve its capacity of introducing product innovations. We explore this idea using very rich firm-level data on Italian Manufacturing, and sector-province specific measures of firms\' distance from export markets and of their export market potential as instruments for differences in export activities. We find that exporting significantly increases the likelihood of introducing product innovations and that this effect is not fully captured by the channels commonly stressed by the theoretical literature, such as larger market (and accordingly firm) size or higher investments in R&D. We argue that heterogeneity in foreign customers\' tastes and needs may explain our findings.
New Teachers with Life Experiences: How Different Are They?.

Little empirical research has documented the impressionistic reports that mature-age students bring a unique and highly desirable set of personal qualities to the teaching profession. To help fill the gap, this study gathered empirical data from both mature-age and college-age students (N=74) on the following: (1) personality characteristics; (2) dominant personality tynes of these two groups; (3) levels of self-realization and ilicegration; (4) reasons for becoming teache3rs; and (5) personal and professional goals. All the participants 4-ook the 1986 revised form of the California Psychological Inventory (CPI) and completed a brief information form. The CPI measures 20 folk concepts or personality characteristics that are called into play in daily interactions. Data analysis showed similarities among the set of scales that measure more interactional, socially observable qualities, such as dominance, sociability, and social presence. The 12 scales on which the mature-age students L-ored significantly higher were those assessing the more internal values and control mechanisms. Both groups had s:Tilar proportions of personality types, but their self-realization scores were significantly different; the mature-age students showed higher levels. The fact that the mature-age students scored higher on 12 of the 20 concepts suggests questions relative to educational policy and practice. Four tables displaying the data are attached. (AMH) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** PAPER PRESENTED AT THE ANNUAL MEETING OF THE ASSOCIATION OF TEACHER EDUCATORS, LAS VEGAS, NEVADA, FEBRUARY 71 1990 U.S. DEPARTMENT OF EDUCATION Office ol Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) cl This document has been reproduced as received from the person or organization originating it r Minor changes have been made to improve reproduction quality Points of view or opinions slated in this docu ment do not necessarily represent official OERI position or policy
Role Of Robot-Assisted Partial Nephrectomy For Renal Cell Carcinomas In The Purpose Of Nephron Sparing

Introduction: Surgery remains the standard treatment for localized renal cell carcinomas, and partial nephrectomy is considered before radical nephrectomy with the aim of preserving renal function. This study aimed to compare robot-assisted and open partial nephrectomy for the purpose of nephron sparing. Materials and methods: We retrospectively enrolled consecutive patients who received partial nephrectomy at a single tertiary medical center from January 2008 to January 2015. Medical records and radiographic images were reviewed. We analyzed the patients ’ general characteristics, underlying disease, complications, length of hospital stay, renal tumor complexity, surgery type, renal function, and specimen and tumor size. A comparison between open and robot-assisted nephrectomy groups was performed. Results: A total of 136 patients were enrolled, with a male to female ratio of 2:3 and a mean age of 57.8 years. Of these, 71 and 65 patients received open and robot-assisted surgery, respectively. Compared with the open group, patients who underwent robot-assisted surgery were signi ﬁ cantly younger (56.0 versus 60.1 years old), had a longer operative time (303 versus 224 min), and a lower kidney ischemic time (33.4 versus 46.9 min). Given similar tumor sizes, the tumor-to-excision ratio was signi ﬁ cantly higher in the robot-assisted group (51.7% versus 39.8%), and the excisional volume loss (EVL) was smaller (12.7 versus 19.6 mL). Preoperative glomerular ﬁ ltration rate and EVL were signi ﬁ cant predictors of long-term renal function preservation in the multivariate analysis. Conclusion: When performing partial nephrectomy, a robot-assisted procedure could increase the accuracy of excision without increasing the risk of positive surgical margin. Lower EVL could assist in better long-term postoperative renal function preservation.
Nonvolatile Spin-Based Radiation Hardened Retention Latch and Flip-Flop

Reduction of leakage power and vulnerability to radiation are of critical challenges in modern nanometer CMOS technologies because of scaling down requirement. Spintronic logic has been progressed to realize these demands based on magnetic-based elements properties especially magnetic tunnel junction (MTJ) such as radiation-hardened, non-volatility, and CMOS process compatibility. A novel soft-error tolerant and highly reliable latch circuit is proposed in this paper which is a promising choice for reliable and low-power architectures. Furthermore, employing the proposed shadow latch based on MTJ cells as a backup structure along with the rad-hard main latch is aimed to the realization of a nonvolatile and SEU-immune flip-flop which is applicable in next-generation CMOS circuits. Simulations of proposed circuits have been performed by SPICE tool and a 45 nm CMOS technology model to evaluate the effectiveness of topologies.
STUDY OF IMAGE SEGMENTATION USING ARTIFICIAL INTELLIGENCE

Segmenting an image to meaningful parts is a fundamental operation in image processing. Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation partitions an image into distinct regions containing each pixels with similar attributes. To be meaningful and useful for image analysis and interpretation, the regions should strongly relate to depicted objects or features of interest. Meaningful segmentation is the first step from low-level image processing transforming a grey scale or color image into one or more other images to high-level image description in terms of features, objects, and scenes. The success of image analysis depends on reliability of segmentation, but an accurate partitioning of an image is generally a very challenging problem. In this paper, various image segmentation methods using artificial intelligence are explained.
Hybrid Classifier for Predicting Financial Distress

The challenges and competition in the investment world recently became a great focus to be studied as it is greatly linked to profitability. Business sustainability has become a great issue to ensure the profit generated and keep the operation going, reducing the risk of financial distress of a firm. Model to predict the financially distressed firm has been developed over decades, using conventional statistical and recent data mining methods. A combination of clustering and classification methods called hybrid classifier, used in this paper. Cluster analysis, using k-means, conduct as the pre-classification. The clustering result used to construct the classification model into two clusters. From the cluster analysis, 17% of overall data clustered into cluster 1, meanwhile, 83% into cluster 2. The clustering results later used as the output label to the classification phase. The result shows a great overall accuracy of 98.6111% from the logistic regression and C4.5 decision tree completed with boosting, with an AUC value of 0.996 and 0.990 classified as excellent classification.
Scaling law analysis of electrohydrodynamics and dielectrophoresis for isomotive dielectrophoresis microfluidic devices

Isomotive dielectrophoresis (isoDEP) is a unique DEP geometrical configuration where the gradient of the field‐squared ( ∇Erms2 ) is constant. IsoDEP analyzes polarizable particles based on their magnitude and direction of translation. Particle translation is a function of the polarizability of both the particles and suspending medium, the particles’ size and shape, and the frequency of the electric field. However, other electrokinetics act on the particles simultaneously, including electrothermal hydrodynamics. Hence, to maximize the DEP force relative to over electrokinetic forces, design parameters such as microchannel geometry, fabrication materials, and applied electric field must be properly tuned. In this work, scaling law analyses were developed to derive design rules, relative to particle diameter, to reduce unwanted electrothermal hydrodynamics relative to DEP‐induced particle translation. For a particle suspended in 10 mS/m media, if the channel width and height are below ten particle diameters, the electrothermal‐driven flow is reduced by ∼500 times compared to a channel that is 250 particles diameters in width and height. Replacing glass with silicon as the device's underlying substrate for an insulative‐based isoDEP reduces the electrothermal induced flow approximately 20 times less.
Learner Perceptions of Chinese EFL College Classroom Environments

This study, carried out at a major technological university in China and based on a convenience sample of 116 students, is designed to identify which aspects of their classroom environments had the greatest effect on the students. Students completed a 26-item questionnaire which elicited general as well as specific views on the EFL classroom environments. The students were divided into English majors (n=64) and non-English majors (n=52). The results showed that, among the items rated as less satisfactory, eight items were similar for both groups, but that the items with lowest satisfaction for each group were significantly different. For English majors textbook selection, learning atmosphere, and teachers’ chalkboard presentation are least satisfactory; for non-English majors interest in target culture, teachers’ chalkboard presentation, and internal motivation are the least satisfactory. The paper concludes that English-language education should be treated differently for majors and non-majors. For English majors, to improve the learning atmosphere, textbook selection and teaching methods need be considered as priorities. English-language education for non-majors should be redesigned with a focus on functional use of the language rather than in-depth study of the target culture.
Patrons, Clients and Policies: Patterns of Democratic Accountability and Political Competition

1. Citizen-politician linkages: an introduction Herbert Kitschelt and Steven I. Wilkinson 2. Meet the new boss, same as the old boss? The evolution of political clientelism in Africa Nicolas Van de Walle 3. Monopoly and monitoring: an approach to political clientelism Luis Fernando Medina and Susan C. Stokes 4. Counting heads: a theory of voter and elite behavior in patronage democracies Kanchan Chandra 5. Explaining changing patterns of party-voter linkages in India Steven I. Wilkinson 6. Politics in the middle: mediating relationships between the citizens and the state in rural North India Anirudh Krishna 7. Rethinking economics and institutions: the voter's dilemma and democratic accountability Mona M. Lyne 8. Clientelism and portfolio diversification: a model of electoral investment with applications to Mexico Beatriz Magaloni, Alberto Diaz-Cayeros and Federico Estevez 9. From populism to clientelism? The transformation of labor-based party linkages in Latin America Steven Levitsky 10. Correlates of clientelism: political economy, politicized ethnicity, and postcommunist transition Henry Hale 11. Political institutions and linkage strategies Wolfgang C. Muller 12. Clientelism in Japan: the importance and limits of institutional explanations Ethan Scheiner 13. The demise of clientelism in affluent capitalist democracies Herbert Kitschelt 14. A research agenda for the study of citizen-politician linkages and democratic accountability Herbert Kitschelt and Steven I. Wilkinson.
Error Prediction in Electromagnetic Simulations Using Machine Learning

We present a novel approach of using deep convolutional neural networks (CNN) to predict electromagnetic scattering errors in iterative solutions of electrically large three-dimensional objects. Deep CNN models are constructed and trained by using surface current images to predict far-zone scattering errors. Numerical experiments demonstrate successful predictions with more than 95% accuracy. The constructed models can be useful to quickly assess the accuracy of candidate solutions of current distributions via their images.
Compact Microstrip Patch Antenna Utilizing Low Cost Solution Cast Nanomagnetic Thin Film

A compact integrated microstrip patch antenna with low cost magnetic nanoparticle thin film loaded in the air substrate has been designed, fabricated and characterized. First, a microstrip patch antenna patterned on a thin Liquid Crystal Polymer was mounted on a partially 3D printed air substrate through a lego-like process to have the measured resonance at 8.3 GHz and 6.5 dBi of realized gain. To achieve the compactness, MnFe2O4 magnetic nanoparticles were deposited within the air substrate to have a magnetic film thickness of 30 µm, which shifted the measured resonant frequency down to 7.8 GHz while the realized gain was increased to 7.0 dBi. Detailed comparison of the simulation and measurement results are provided. This work demonstrates a low cost and compact microstrip patch antenna utilizing the magnetic nanoparticle film which could find many applications in the RF and microwave circuits and devices.
The Impact of Financial Development Elements on Economic Growth on Gulf Cooperation Council (GCC)

This study evaluates the effects of financial development factors and other important factors based on Solow's model over the economic growth in the Gulf Cooperation Council (GCC) countries. The panel data from 1986-2009 is used in this research. For analyzing the data, pooled OLS model, random effect model and fixed effect model are used by using E-views software. To distinguish between pooled OLS model and random effect model, LM test is run and to differentiate between random effect model and fixed effect model, the Hausman test is run. The results reveal that financial development which is measured by PRIVY is not significant in all the models that have been suggested. Nevertheless, the financial development, which is measured by the LLY, has a positive and significant sign in some of the models that have been offered.
Localisation de sources par le propagateur monocoup à diversité d ' espace Source localization by means of the space diversity snapshot propagator

De nombreux algorithmes à haute résolution ont été développés ces dernières années dans le but d'identifier des fronts d'onde multiples à partir des signaux reçus sur un réseau de capteurs . Généralement, ils nécessitent l'estimation de la matrice interspectrale de ces signaux, ce qui suppose un temps d'observation assez long et une stationnarité temporelle suffisante . La plupart d'entre recherches
An Optimization-Based Impedance Approach for Robot Force Regulation with Prescribed Force Limits

An optimization based approach for the regulation of excessive or insufficient forces at the end-effector level is introduced. The objective is to minimize the interaction force error at the robot end effector, while constraining undesired interaction forces. To that end, a dynamic optimization problem (DOP) is formulated considering a dynamic robot impedance model. Penalty functions are considered in the DOP to handle the constraints on the interaction force. The optimization problem is online solved through the gradient flow approach. Convergence properties are presented and the stability is drawn when the force limits are considered in the analysis. The effectiveness of our proposal is validated via experimental results for a robotic grasping task.
The Effect of Instruction on Children’s Knowledge of Marine Ecology, Attitudes Toward the Ocean, and Stances Toward Marine Resource Issues

This study examined grade 4 students’ knowledge of marine ecology, their attitude towards the seashore and ocean, and their stances (preservationist, conservationist, exploitive) towards marine resource issues before and after a classroom instructional unit. Students’ pre-instructional and post-instructional questionnaires, drawings and writing were collected and analyzed. Prior to instruction, the students’ knowledge level was low, however their ocean attitudes were positive and they were predominately preservationist and conservationist in their stances. The instructional unit was developed using a constructivist perspective with an emphasis on experiential learning and included field trips to the seashore and the investigation of a local marine resource issue (Pacific salmon stock depletion). After instruction, a significant increase in knowledge and positive attitude was evident. As well, students’ stances toward marine resource issues were less polarized. The results have implications for environmental education in general and marine ecology and resource management studies in particular.
Analysis of corporate twitter usage types and Influence Visualization on Key Players

This research aims to analyze Twitter marketing strategies by focusing on tweets posted by four corporate Twitter accounts. We classified the posts by the four accounts into six types: daily life, general public relation (PR), event, professional information, customer service and retweet. We aimed to identify key players using an influence formula and gave a clear sense by visualization. According to the study results, retweet type is the most common among usage types, in terms of corporate tweeters; the event-type tweet was responded and retweeted most often by followers. It is expected that, based on the results of the study, a company can use the Twitter as an effective marketing tool by understanding the situation of each company and developing a customized strategy accordingly.
Gain Optimization of a Yagi-Uda Antenna using the Genetic Algorithm

A 5.8–GHz Yagi antenna consisting of a reflector and one director is optimized for high gain using the classic method and then optimized even more using the Genetic Algorithms. The approach was to divide the director into pixels and then to cut away a random number of randomly placed pixels, then to find the best antenna performances in terms of gain and return loss. The proposed configuration achieved a 0.33 dB improvement in realized gain and is suitable for wireless communication systems.