Miracle-dz/UniFAR-FTUs huggingface dataset:
High Impact Papers in Power Engineering (1900-1999)

was reduced to 39 nominations. The list of 39 papers and books identified were circulated to colleagues, members of the Power Globe, and some students. An informal vote was taken to identify the three papers that seemed to have the highest impact on power engineering practice. Based on the informal vote, recommendation by colleagues, areas of interest, and the opinion of the organizers, four papers were identified as having the greatest impact on the growth of electrical power engineering. Though the process used in identifying these papers is not very scientific, the general consensus seems to be that these papers represent milestone achievements that stimulated great advances that lead to the widespread electrification of the world. Additional details of the “vote” appear in [2].
The Monitoring System for Aircraft and Veficles of Public Order Services Based on GNSS

Presently a lot of countries carry out aviation tests of Automatic Dependent Surveillance — Broadcast (ADB-S). The on-board GPS receiver is used as a basic source of information on position and time for that system. According to the CNS/ATM plan, traditional radars using by ATC will be replaced for ADB-S in the near future. One the vital element of the system is Global Navigational Satellite System (GNSS). According to the project a research team is going to work out an aviation tracking system for control an air traffic and ground movement in the border area. Moreover, the team will examine the system in the areas of accuracy, range of tracking and reliability as well. The proposed system consists of three basic components: the positioning, airborne GNSS receivers, the transmission of data and the ground station. The research plan is carried out taking into account a variety of air operations, such as a takeoff, a route on a low height, approaching and landing. The idea of monitoring system for aircraft using satellite navigation systems is in line with the concept of the use of GNSS in aviation, both in Europe and worldwide.
Living and Working in Space

This document is a presentation about some of the challenges of living and working in space. The presentation shows slides of the Apollo 11 liftoff, Skylab in orbit, a Space Shuttle launch, and a slide of the International Space Station. It reviews the needs and effluents of the astronauts per day, and the Environmental Control and Life Support (ECLS) systems. It shows a flow diagram of the Space Station Regenerative ECLS, which shows the various systems, and how they interact to control the environment and recycle the air, and water. There are other slides some of which show astronauts eating, brushing teeth, shaving, and sipping from a sip bottle while exercising.
Sistem Kontrol Altitude Pada UAV Model Quadcopter Dengan Metode PID

Penelitian Unmanned Aerial Vehicle atau biasa disebut Pesawat tanpa awak dengan menggunakan model pesawat multirotor empat properler (quadcopter) sudah banyak digunakan. Akan tetapi penelitian sistem kontrol quadrotor terhadap referensi altitude masih menemui kendala terhadap stabilitas quadcopter. Pada paper ini menawarkan stabilitas quadrotor yang lebih baik dengan menggunakan metode PID. Input dari PID berupa sensor-sensor yang terpasang seperti accelerometer,gyro dan sonar, juga kecepatan masing-masing rotor akan dikirimkan ke ground station untuk keperluan analisa. Dari hasil pengujian yang telah dilakukan menunjukkan bahwa sistem kontrol PID telah bekerja dengan baik, dengan parameter Kp = 0.4500,Kd=0.025 dan Ki=0.001. Quadcopter dapat menjaga stabilitas altitude sesuai dengan yang diharapkan.
A Run-Time Control Architecture for the JPL Telerobt

The u c h i t u t u r e proposd for the JPL telerobot decomposer the function8lity of ryrtrl oprrrtionm into three hier8rchicrl l eve lm. For the autonowum component of the 8rChiteCtIUe. t h e w levelm conmimt of the 18-k Plannina L & 8t the top of the hier8rchy. followed by the Procew-la we& at the intrrrrdi8te lrvel. and the Actu8tion 8nd Sensor Level 8t the bottom of the hierarchy. trch of theme l e v e l m is demigned to oprrate robumtly by uming l 0 ~ 8 l fdb.clr t o detect urd recover from local errorm.
BIOPHYSICALLY DETAILED MODELLING OF THE FUNCTIONAL IMPACT OF GENE MUTATIONS ASSOCIATED WITH THE ?SHORT QT SYNDROME?

The recently identified genetic short QT syndrome is characterised by abbreviated QT intervals on the electrocardiogram, an increased risk of atrial and ventricular arrhythmias, and an increased risk of sudden death. Although the short QT syndrome has been suggested to provide a paradigm for increasing understanding of the role of potassium channels in ventricular fibrillation, the basis for arrhythmogenesis in the short QT syndrome is incompletely understood. There are no animal models that accurately reproduce a short QT phenotype, and whilst in vitro electrophysiology of short QT mutant channels provides a route to greater understanding of the effects of short QT mutants on action potential repolarisation, on its own, this approach is insufficient to explain how arrhythmias arise and are maintained at the tissue level. Consequently, this thesis is concerned with the use of the viable alternative; in silico (computational) modelling to elucidate how the short QT syndrome facilitates the genesis and maintenance of ventricular arrhythmias and its effects on ventricular contraction. Using extant biophysical data on changes induced by the short QT mutations and data from BHF-funded in vitro electrophysiology, three novel mathematical models of the first three variants of the short QT syndrome were developed; a Markov chain model for short QT variant 1, a Markov chain model for short QT variant 2 and a Hodgkin-Huxley model for short QT variant 3. These models were incorporated into single cell and anatomically detailed tissue and organ computer models to elucidate how these variants lead to ventricular arrhythmias. The developed short QT models were then incorporated into electromechanically coupled single cell and tissue models to investigate the effects of the short QT mutants on ventricular contraction. It was found that each short QT variant uniquely increased the transmural dispersion of action potential duration across the ventricular wall, increased the temporal window of tissue vulnerability to premature excitation stimulus, leading to increased susceptibility to re-entrant arrhythmia.
Modification of risk assessment value to test industry reliability

This paper is in a form of a technical note, in which modified method of industry reliability analysis is reviewed. This paper introduces a multi-expert approach group decision making analysis for Risk Assessment Value (RAV), which directly tests the reliability of the system (industry). A case of construction industry has been studied for verification of the method. Reviewed RAV modified technique helps to assess the value of industry reliability; and brings contribution to the body of risk management knowledge.
Depiction of Priority Light-Vehicle Pre-Crash Scenarios for Safety Applications Based on Vehicle-to-Vehicle Communications

A template of pre-crash scenarios is presented to depict national crash statistics and kinematic information of time-to-collision for the design of appropriate crash countermeasures based on vehicle-to-vehicle (V2V) communications. This template serves the development of functional requirements, performance specifications, test procedures, and benefits estimation for potential light-vehicle V2V safety applications. A set of ten pre-crash scenarios is suggested as a priority list to be addressed by V2V technology for light vehicles (i.e., passenger cars, vans and minivans, sport utility vehicles, and light pickup trucks with gross vehicle weight ratings of 10,000 pounds or less). This report presents the time-to-collision equations as well as the crash statistics for each of the ten priority scenarios based on data available in the General Estimates System, National Motor Vehicle Crash Causation Survey, and Event Data Recorder databases.
Una revisión bibliográfica sobre las cualidades de liderazgo entre los Gerentes de Proyectos de rehabilitación de edificios

This research provides a review of potential leadership qualities among building refurbishment project managers. The scope of work in rehabilitation projects is very different from that of new buildings projects. The key features associated with remodeling projects are unique, risky, highly complex and intrinsically full of uncertainties that are constant throughout the life cycle of the project. In addition, these projects have always been identified with the poor performance of the project that covers aspects of time, cost and quality. The objective of this study is to identify potential leadership qualities among managers of buildings refurbishment projects. In addition, the relationships between the factors of uncertainty and the performance of refurbishment projects will also be determined according to leadership qualities. To achieve this goal, a comprehensive bibliographic search was carried out, wherefrom this review, a research model was proposed. This model serves as a basis for broader research on leadership qualities among project managers to better manage uncertainties in refurbishment projects.
Minor revisions are needed

We thank the recommender and the three reviewers for this quick evaluation and the helpful comments and suggestions on our manuscript. We have answered all the comments below and made the corresponding revisions in the main text, associated figures and supplementary material. We specify in our response the lines where those changes have been made in the revised version with tracked changes (Smadja_et_al_2022_biorxiv_v2_tracked_changes.docx). We have uploaded on biorxiv the revised version of our manuscript (Smadja_et_al_2022_biorxiv_v2.docx).
Plasma Extraction of Metals in Space

Extraction of purified metals from extraterrestrial materials can be accomplished in several ways, such as beneficiation, hydrogen reduction, recovery of spent rockets, direct melting of iron meteorites, and plasma isotope separation. Presented here is a method for multiple simultaneous extraction of multiple metals and metalloids from regolith. Two patented approaches are described which can operate on a planetary surface, or in the microgravity environment of orbit. This approach to isotope separation applies to regolith fines but is advantageously applied to the effluent of a patented oxygen extraction method. In this way, a plurality of valuable raw materials can be obtained with a single system, suitable for operation on the Moon or at the surface of an asteroid. Silicon is of interest for studies of purity due to its importance in photovoltaics. A silicon-aluminum aerospace alloy can be produced directly, called Silumin, which has value in construction of habitats and space craft in space. Silicon can also be combined with carbon to form the wide-bandgap semiconductor SiC from which high-power and radiation-tolerant power transistors can be fabricated. Furthermore, this method lends itself to additive manufacturing whereby specific shapes of purified metals can be formed directly from the plasma extraction process.
Characterization of cyclin-dependent kinases and their expression in developing maize endosperm

During maize endosperm development, cells switch from mitotic into endoreduplication cell cycles, concomitant with the differentiation of starchy endosperm cells. The identity and role of cyclins and cyclin-dependent kinases (CDKs) that control these cell cycles are poorly understood. I identified and characterized maize cyclins of the D(CYCD2;1 and CYCD5;1) and A1-types (CYCA1;3) that are expressed in endosperm. CYCA1;3 RNA decreased sharply as the endosperm transitioned from the mitotic to the endoreduplication stage, whereas CYCD2;1 and CYCD5;1 transcripts declined gradually. Polyclonal antibodies against CYCA1;3, CYCD5;1, and CYCD2;1 and a B-type homologue, CYCB1;3, were used to characterize cyclin protein accumulation, the associated CDK activity, and spatial localization of cyclins in endosperm. Except for CYCA1;3, cyclin protein levels were nearly constant or decreased slightly throughout development. CDK activity associated with CYCA1;3 was most abundant 7 days after pollination (DAP), while that associated with CYCB1;3, CYCD2;1 and CYCD5;1 peaked at 11 DAP. CYCA1;3 appeared to be most abundant in the cytoplasm of non-endoreduplicating cells. CYCB1;3 and CYCD2;1 were found throughout the endosperm, while CYCD5;1 was mostly
Use of Bi-plane Mode of Transesophageal Echocardiography for Real Time Visualization and Cannulation of the Internal Jugular Vein: A Safe and effective Alternative

Background: To check feasibility and efficacy of biplane mode of the transesophageal echocardiography (TEE) probe for use of visualization and cannulation of internal jugular vein (IJV). Subjects and Methods: This is Prospective, randomized, controlled pilot study done at tertiary care hospital. Fifty adult cardiac surgery patients in current study received right IJV catheterization using the TEE probe. Another fifty patient undergone same IJV cannulation with use of linear probe. The puncture time, success rate in first attempt, quality of the imaging with needle tip positioning and wire positioning were recorded. The occurrence of complication or any adverse event was also observed. Results: There was statistical difference in puncture time between two groups. Puncture time was less in TEE group. One failed puncture attempt with linear probe was there. There was no statistical difference in image quality with needle tip positioning and wire positioning between groups. No complications or adverse events were observed in either group. Conclusion: The Bi-plane mode of TEE probe can be used for visualization and cannulation of IJV to achieve higher success rate and decrease chance of complication with favorable feasibility and safety.
PEARL: Prototype Learning via Rule Learning

Deep neural networks have demonstrated promising prediction performance on many health analytics tasks. However, the interpretability of the deep models is often lacking. In comparison, classical interpretable models such as decision rule learning do not lead to the same level of accuracy as deep neural networks (DNN) and can also be too complex to interpret (e.g., due to large tree depths). In this work, we propose Prototype LeArNing via Rule Learning (PEARL), which iteratively constructs a decision rule list to guide a neural network to learn representative prototypes that can be explained by the associated rules. The resulting prototype neural network inherits both the prediction power of DNNs and interpretability associated with rules, thus can provide accurate and interpretable predictions. Evaluated on real world health datasets, PEARL demonstrates state-of-the-art accuracy to various DNN baselines and interpretable results that are simpler than standard decision trees can provide.
Separation characteristics of generic stores from lee side of an inclined flat plate at Mach 6

An experimental investigation was conducted to determine the aerodynamic characteristics of a store as it was separated from the lee side of a flat plate inclined at 15 deg to the free-stream flow at Mach 6. Two store models were tested: a cone cylinder and a roof delta. Force and moment data were obtained for both stores as they were moved in 0.5-in. increments away from the flat plate lee-side separated flow region into the free-stream flow while the store angle of attack was held constant at either 0 deg or 15 deg. The results indicate that both stores had adverse separation characteristics (i.e., negative normal force and pitching moment) at an angle of attack of 0 deg, and the cone cylinder had favorable separation characteristics (i.e., positive normal force and pitching moment) at an angle of attack of 15 deg. At an angle of attack of 15 deg, the separation characteristics of the roof delta are indeterminate at small separation distances and favorable at greater separation distances. These characteristics are the result of the local flow inclination relative to the stores as they traversed through the flat plate lee-side flow field. In addition to plotted data, force and moment data are tabulated and schlieren photographs of the stores and flat plate are presented.
A survey of clustering methods via optimization methodology

Clustering is one of fundamental tasks in unsupervised learning and plays a very important role in various application areas. This paper aims to present a survey of ﬁve types of clustering meth-ods in the perspective of optimization methodology, including center-based methods, convex clustering, spectral clustering, subspace clustering, and optimal transport based clustering. The connection between optimization methodology and clustering algorithms is not only helpful to advance the understanding of the principle and theory of existing clustering algorithms, but also useful to inspire new ideas of efﬁcient clustering algorithms. Preliminary numerical experiments of various clustering algorithms for datasets of various shapes are provided to show the preference and speciﬁcity of each algorithm.
Extracting Bioactive Compounds for Food Products: Theory and Applications

Extraction and Purification of Bioactive Compounds, M. Angela A. Meireles Steam Distillation Applied to the Food Industry, M. Angela A. Meireles Distillation Applied to the Processing of Spirits and Aromas, Antonio J. A. Meirelles, Eduardo A. C. Batista, Helena F. A. Scanavini, Fabio R. M. Batista, Roberta Ceriani, and Luiz F. L. Lima, Jr. Low-Pressure Solvent Extraction (Solid-Liquid Extraction, Microwave Assisted and Ultrasound Assisted) from Condimentary Plants, Thais M. Takeuchi, Camila G. Pereira, Mara E. M. Braga, Mario R. Marostica, Jr., Patricia F. Leal, and M. Angela A. Meireles Liquid-Liquid Extraction Applied to the Processing of Vegetable Oil, Eduardo A. C. Batista, Antonio J. A. Meirelles, Christianne E. C. Rodrigues, and Cintia B. Goncalves Supercritical and Pressurized Fluid Extraction Applied to the food industry, M. Angela A. Meireles Concentration of Bioactive Compounds by Adsorption/Desorption, Lourdes Calvo and Maria Jose Cocero
The Biodiesel Handbook

The second edition of this invaluable handbook covers converting vegetable oils, animal fats, and used oils into biodiesel fuel. The Biodiesel Handbook delivers solutions to issues associated with biodiesel feedstocks, production issues, quality control, viscosity, stability, applications, emissions, and other environmental impacts, as well as the status of the biodiesel industry worldwide. * Incorporates the major research and other developments in the world of biodiesel in a comprehensive and practical format* Includes reference materials and tables on biodiesel standards, unit conversions, and technical details in four appendices* Presents details on other uses of biodiesel and other alternative diesel fuels from oils and fats
EVALUATION OF AUTOMATIC VEHICLE LOCATION SYSTEMS IN PUBLIC TRANSIT

This report examines the use of Automatic Vehicle Location (AVL) systems by transit agencies throughout the country and analyzes the various benefits that may be realized from the application of AVL systems. The implementation and current use of AVL systems by transit agencies in Texas is highlighted, including the development of the AVLS system in San Antonio. The report further examines the benefits provided by the use of AVL technologies, including the potential for energy savings and reductions in fuel consumption. The report also identifies possible demonstration projects and other innovative applications of AVL systems with different types of transit services in the state and additional uses of information generated from existing AVL systems.
Understanding and communicating intentions in human-robot interaction

This thesis is about the collaboration and interaction between a robot and a human agent. The goal is to use the robot as a coworker, by implementing the premises of an interaction system that would make the interaction as natural as possible. This involves that the robot has a vision system that allows understanding of the intentions of the human. This thesis work is intended to be part of a larger project aimed at extending the competences of the programmable industrial robot, Baxter, made by Rethink Robotics. Due to the limited vision abilities of this robot, a Kinect camera is added on the top of its head. This thesis covers human gestures recognition through the Kinect data and robot reactions to these gestures through visual feedback and actions.
green solvents

Prolonged exposure to solvents has a harmful impact on all living organisms, damaging most organs. Reducing the use of solvents or replacing them with less toxic ones, are two of the most important ambitions of green chemistry. Water, supercritical fluids, ionic liquids, nontoxic liquid polymers and their varied combinations are part of the class of green solvents. They are characterized by low toxicity, convenient accessibility and possibility of reuse as well as great efficiency.
Investigation of Electrophysiological Interactions in the Human Heart

Ventricular fibrillation (VF) is the leading heart rhythm for causing sudden death worldwide, claiming 70,000 deaths per year in the UK alone. Understanding the mechanism for initiating fibrillation is crucial in progressing future therapies and risk stratification for implantable cardioverter-defibrillator therapy. Experimental studies and computerized simulations of cardiac activity have significantly contributed to the understanding of cardiac electrophysiology. Although these studies have been very successful at bridging the gap between basic research findings and understanding of arrhythmia, few studies have been made on the construction of an accurate simulation based on patient-acquired data. There remain some distances between computational modeling and clinical appreciation of arrhythmia generation. The primary objective of this project was to develop new numerical procedures to carry out simulation studies based on patient-acquired data referring to the existing computational models. To achieve this objective, the research was divided into three parts: the first part is to create models for electrical restitution of cardiac tissue and conduction model of activation signal, which can be fitted with experimental data to obtain electrical restitution properties; the second approach is to validate the computational models on extra-stimuli demonstrating that accurate prediction can be made on complex interactions of the time dynamics of sequential premature beats; the last part is to carry out simulation studies focusing on initiation of functional block based on patient-specific computational models. The main contribution of this work is that it provided a platform by which patient-specific experimental data can be incorporated into computerized simulation studies and served as a method by which the gap between fundamental cardiac simulation and clinical science can be bridged.