Miracle-dz/UniFAR-FTUs huggingface dataset:
Make: Lego and Arduino Projects

Make amazing robots and gadgets by combining two of the hottest DIY technologies: the venerable LEGO and the upstart Arduino. With this book, you'll learn how to take LEGO Mindstorms components - motors, sensors, and more - and interface them with the Arduino microcontroller, opening many exciting new options. You'll focus on six projects, each more challenging and informative than the next. In each project, you'll explore different ways that Arduino adds functionality to LEGO Mindstorms. In addition, the authors have created affordable companion kits designed specifically for the projects in this book. Perfect for students, teachers, hobbyists, makers, hackers, and kids. Build projects such as the Cuckoo Clock, Chocolate Milk Maker, DrawBot, Robot Arm, and more Learn the basics of Arduino and LEGO Mindstorms Gain an excellent resource for teaching technology to kids of all ages
Redefining Success

Two interconnected arguments are made: 1) that we eliminate standardized testing 2) that we oppose mainstream schooling. Schooling and education are two very different concepts, and do not necessarily coincide in practice. A case in point: our current schooling system is anti-educational. This paper makes the case for unschooling and learner-centred democratic alternatives.
Detection of Musical Pitch from Recorded Solo Performances

Thispreprinthasbeen reproducedfrom the author'sadvance manuscript,withoutediting,correctionsor considerationby theReview Board. TheAES takesno responsibi/ityfor the contents. A// rightsreserved.Reproductionof thispreprint,or any portion thereof,isnot permitted withoutdirect permission fromthe Jouma/of theAudio EngineeringSociety. Our frequency-domain-based pitch detector graphs musical pitch as the log of detected fundamental frequency on a Unix computer. Recorded virtuosic solo performances are difficult to track when they contain frequency-obscuring reverberation, or when they are dry, since extraneous noises can then interfere. We tested our detector on dry and reverberated performance versions of two musical passages and found it to work quite well on dry versions, but performance was degraded on the reverberated versions. Also, we used the spectral and fundamental frequency data to resynthesize the recordings, with the advantage that most extraneous noises and reverberation were eliminated. The theory of the detector and possibilities for improving its performance are discussed. 1 System Overview Our objective is to develop a tool for accurately detecting and graphing the fundamental frequency or musical pitch as a function of time for solo performance. Although this area has had a long history of activity [1-4], no circuit or computer algorithm has been shown to work in a coinpletely reliable fashion, particularly for rapid passages recorded in either a studio or reverberant environment. Two applications are automatic music transcription and resynthesis with altered timbre, tempo, and pitch range. Also of interest are musicological applications where the detected output can be used to study timing and intonation of performances. Rapid musical passages present peculiar problems since notes are often very short and not necessarily stable. In other words, a large proportion of each note may consist of attack and decay transients, where the pitch is moving towards or away from a stable value. With studio recordings, noises caused by various mechanical devices (such as violin bows and clarinet keys) and the performer (e.g., breath noises) can cause problems, whereas in a hall the predominant factor seems to be the echo of previous notes occurring simultaneously with the current one, causing a chord effect. Our current solution to the problem is a program, implemented on a NeXT computer, which attempts to find the best match to a harmonic series within a time-variant spectrum at each time frame. The spectrum is found using an algorithm originally developed by McAulay and Quatieri [5] to determine spectral peaks which exceed a certain threshold. Then the fundamental frequency is estimated by a harmonic search and …
Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease

The currently utilized neuroimaging and cerebrospinal fluid-based detection of Alzheimer’s disease (AD) suffer several limitations, including sensitivity, specificity, and cost. Therefore, the identification of AD by analyzing blood gene expression may ameliorate the early diagnosis of the AD. We aimed to identify common genes commonly deregulated in blood and brain in AD. Comprehensive analysis of blood and brain gene expression datasets of AD, eQTL, and epigenetics data was analyzed by the integrative bioinformatics approach. The integrative analysis showed nine differentially expressed genes common to blood cells and brain (CNBD1, SUCLG2-AS1, CCDC65, PDE4D, MTMR1, C3, SLC6A15, LINC01806, and FRG1JP). Analysis of SNP and cis-eQTL data showed 18 genes; namely, HSD17B1, GAS5, RPS5, VKORC1, GLE1, WDR1, RPL12, MORN1, RAD52, SDR39U1, NPHP4, MT1E, SORD, LINC00638, MCM3AP-AS1, GSDMD, RPS9, and GNL2 were observed deregulated AD blood and brain tissues. Functional gene set enrichment analysis demonstrated a significant association of these genes in neurodegeneration-associated molecular pathways. Integrative biomolecular networks revealed dysregulation of several hub transcription factors and microRNAs in AD. Moreover, hub genes were observed associated with significant histone modification. This study detected common molecular biomarkers and pathways in blood and brain tissues in AD that may be potential biomarkers and therapeutic targets in AD.
Pérdida de acreditación institucional y sus efectos sobre la retención de primer año: Universidad de Las Américas 2010-2014, Chile

The primary objective of the present study is to determine how much of the impact that the loss of accreditation ( 2013) has on first-year retention rate at the Universidad de Las Américas (Chile) is due to a worsening of financing conditions and how much is due to degradation of the perception about the institution’s quality. Using administrative data from the Universidad de Las Américas between the years 2010 and 2014, a non-linear decomposition econometric analysis technique for discrete models is applied. The results show that retention rate drop is mainly due to the loss of access to governmental financing credits, although changes in perception explain up to a third of retention rate drop. By comparing the 2013 and 2014 cohorts, it is concluded that perceptions most affect the educational institution in the year (2013) that accreditation is lost.
Development of embedded devices for automated acoustic resonance analysis in material quality classification.

In this report we investigate whether an embedded system can be used to determine materials quality by analysing the acoustic resonance frequencies.Through experiments the necessary specifications are established and suitable circuits constructed. Signal analysis is performed by a FFT-based algorithm.We have verified that the system is succesful in detecting the five strongest resonance frequencies and list these in order of amplitude. By using embedded devices, it's possible to lower the cost of purchase as well as power consumption dramatically compared to alternative solutions.
C-ITS Interoperability with Existing ITS Infrastructure

This report defines how emerging C-ITS will integrate with existing ITS currently being operated by Austroads member road agencies. The report is limited to investigating what is required to achieve interoperability between 5.9 ITS (a term used to describe a subset of C-ITS which utilises 5.9 GHz communications) and the selected existing ITS infrastructure of electronic speed limit signs, traveller data collection, traffic signals and traveller information systems. Interoperability was investigated for the four interoperability levels of technical, syntactical, semantic and organisational. From these investigations it was found that there are changes and elements required to make 5.9 ITS interoperable with the existing ITS infrastructure investigated with many common themes identified. Some of the key common themes include: 1. technical interoperability will require elements such as a 5.9 roadside ITS station and software within the unit to form a 5.9 ITS message; 2. syntactical interoperability will require converting the ITS infrastructure content into the syntax required for 5.9 ITS messages; 3. semantic interoperability will require forming a 5.9 ITS message that complies with the standardised content and meaning, making allowance for international terminology. ; 4. organisational interoperability requires road agencies to integrate 5.9 ITS with existing ITS infrastructure across all interoperability levels. While this report discusses the integration between ITS infrastructure and 5.9 ITS, it is acknowledged that some C-ITS functionality could be achieved through integrating C-ITS with existing ITS infrastructure using cellular communications. Additional issues associated with 5.9 ITS integration with ITS infrastructure include privacy, security, certification, liability, management of lbig datar, private-public partnerships, field operation tests/trials and location and extent of 5.9 roadside ITS station deployment.
Public Bikesharing in North America: Early Operator and User Understanding

Information technology (IT)-based bikesharing systems typically position bicycles throughout an urban environment, among a network of docking stations, for immediate access. Bikesharing can serve as both a first-and-last mile (connector to other modes) and a many-mile solution. As of January 2012, 15 IT-based, public bikesharing systems were operating in the United States and four in Canada. This study evaluates public bikesharing in North America, reviewing the advances in technology and major events during its rapid expansion. Notable developments during this period include the emergence of a close partnership between vendor and operator and technological advances, such as mobile bike-docking stations that can be moved to different locations and real-time bike/station tracking to facilitate system rebalancing and provide user information. Information on four early IT-based systems: BIXI in Montreal; BIXI in Toronto; Capital Bikeshare in Washington, D.C.; and Nice Ride Minnesota in the Twin Cities (Minneapolis and Saint Paul) was obtained via a user survey. The most common trip purpose for bikesharing is commuting to either work or school. Respondents in all cities overwhelmingly indicated that they drive less as a result of bikesharing, indicating that it reduces vehicle miles/kilometers traveled and vehicle emissions.
In Silico Guided Drug Repurposing to Combat SARS-CoV-2 by Targeting Mpro, the Key Virus Specific Protease

The reemergence of SARS-CoV named, as SARS-CoV-2 has been highly infectious and able to infect a large population around the globe. The World Health Organization (WHO) has declared this SARS-CoV-2 associated Coronavirus Disease 2019 (COVID-19) as pandemic. SARS-CoV-2 genome is translated into polyproteins and has been processed by its protease enzymes. 3CLprotease is named as main protease (Mpro) enzyme which cleaves nsp4-nsp16. This crucial role of Mpro makes this enzyme a prime and promising antiviral target. The drug repurposing is a fast alternative method than the discovery of novel antiviral molecules. We have used high-throughput virtual screening approach to examine FDA approved LOPAC1280 library against Mpro. Primary screening have identified few potential drug molecule for the target among which 10 molecules were studied further. Molecular docking of selected molecules was done to detailed study about their binding energy and binding modes. Positively, Etoposide, BMS_195614, KT185, Idarubicin and WIN_62577 were found interacting with substrate binding pocket of Mpro with higher binding energy. These molecules are being advanced by our group for in vitro and in vivo testing to study the efficacy of identified drugs. As per our understanding, these molecules have the potential to efficiently interrupt the viral life cycle and may reduce or eliminate the expeditious outspreading of SARS-CoV-2.
Double dipole antenna SIS receivers at 100 and 400 GHz

Antenna patterns were measured between 95 and 120 GHz for a double dipole antenna / ellipsoidal lens combination. The structure produces a non-astigmatic beam with low side lobe levels over that whole band. A heterodyne SIS receiver based on this concept gave a best noise temperature of 145 K DSB at 98 GHz. Measurements were also made with a 400 GHz heterodyne SIS receiver, using a double dipole antenna in conjunction with a hyperhemispherical lens. The best noise temperature was 220 K DSB at 402 GHz. On-chip stubs were used to tune out the SIS junction capacitance.
Design of a low-power and low-voltage UHF transceiver integrated in a CMOS process

These Ecole polytechnique federale de Lausanne EPFL, n° 2542 (2002)Section d'electriciteFaculte des sciences et techniques de l'ingenieurInstitut de microelectronique et microsystemesJury: Michel Pierre, Bixio Rimoldi, Philippe Robert, Michiel Steyaert Public defense: 2002-4-5 Reference doi:10.5075/epfl-thesis-2542Print copy in library catalog Record created on 2005-03-16, modified on 2016-08-08
Design and Implementation of Mesh-based Multimedia Transmission System at 400MHz

In order to solve fast networking in a complex environment and high quality transmission of video and audio signals emergency communication problem. A multimedia transmission system based on Mesh self-organizing network at 400MHz is proposed. Firstly, the advantages of the system compared with the existing multimedia transmission system in the 2.4GHz band are described. Then the 400MHz Mesh self-organizing network multimedia transmission system is described. Design principle and hardware and software composition, and finally test the actual application effect of the designed system. The test results show that the system can realize multi-node rapid networking in complex environments and achieve higher quality multimedia data transmission functions, which can be promoted in the field of emergency communication and video surveillance.
The Impact of Industrial Automation on Industrial Organisation: Implications for Developing Countries' Competitiveness

The paper examines profuse literature indicating the potential advantages of recent microelectronics-based industrial automation for developing countries in the light of present trends for the diffusion of industrial automation and their impact on industrial organisation in the mechanical engineering industry. It argues that industrial automation does not seem to be leading to the beneficial effects predicted in the literature. The paper points out that while diffusion of new technologies has proceeded at a rapid pace in developed countries, this has not been the case in developing countries, and suggests that industrial automation may lead to less production flexibility, higher optimal scales of output, increasing vertical integration and an ever-increasing research and development effort. These effects should make the process of industrial development for developing countries more difficult rather than easier. However, the paper also argues that developing countries have little choice but to adopt the new technologies if they are to have any chance of engaging in a sustained process of industrialisation and technical change.
Readings in the Field of Natural Resource & Environmental Economics

This is the latest version of a document periodically produced since the early 1980's. It combines an outline of the field of natural resource and environmental economics with a bibliography of 945 references. In the past, this reading list has been used in a variety of ways: as a guide to the literature for graduate students in departments of economics which do not offer a Ph.D.-level survey course of the field; as a resource for Ph.D. students who wish to develop a directed readings course in the field; and as an aid to students at the masters and undergraduate levels who wish to explore selected areas in greater depth.
A Study of Distribution of IT-work in Norwegian Organizations

The distribution of work in an organizations IT-department has been changing the last 20 years. More time is spent on maintenance than development. Maintenance has become a great expense towards cost and time, but are often not prioritized. What is the reason for this? And are there other factors in the organizations influencing the distribution of work? This thesis is part of a replication study performed every fifth year since 1993. A survey was conducted in 2013 with 68 Norwegian organizations, gathering data about and in relevance to distribution of work in the IT-departments. The thesis presents the results and compares different factors up against each other to find correlations. Results are also compared to the other surveys in this replication study, in order to find trends and reasons for change over time. This study has also had a focus on differences between private and public organizations The main results of this thesis, was that maintenance has continued its increasing trend. When comparing maintenance and development work isolated, 78% was spent on maintenance. This is a significant increase since last study in 2008 when it was 66%. Application portfolio upkeep has also continued to increase, and was at 68% (2008 - 63%). The conclusion for these results, are the major use of outsourcing. Organizations outsource a large part of the development, but keep the maintenance in-house. This may be why there has been a decrease in application portfolio evolution and an increase in upkeep. This study has had a majority of public organizations, which outsourced more than the rest of the population. It is recommended to do further investigation on the use of outsourcing and on differences between public and private organizations.
Silicon Photonics with Applications to Data Center Networks

In data center applications, fiber-based optical interconnects can be used to provide point-to-point links enabling high-bandwidth, inter-rack, data communications. In order to provide for future network scalability, which must be able to handle ultra-large data flows and bandwidth-intensive requests, optical technologies are increasingly introduced to different levels of the data center architecture to enable a variety of transparent network or all-optical networking schemes. However, the use of bulk optical components, which take up valuable rack-space real estate, can be extremely energy and cost prohibitive, especially when scaled up to the size of industrial warehouse-scale computing and considering that predictions of future data center networks are expected to contain millions of nodes. As such, we study chip-scale, silicon photonic, integrated circuits and their use as the optical hardware in future data center implementations. This work describes aspects of the design and integration of silicon photonic devices, which can be used for high-bandwidth, multi-channel, wavelength division multiplexed, optical communications. Examples of silicon photonic subsystems are discussed, including the realization of an on-chip channelized spectrum monitor and a network-node-on-a-chip. These optical integrated circuits are meant to replace bulk optical components with their functional equivalents on monolithic silicon. This work demonstrates that silicon photonics may be advantageous in meeting the urgent hardware-scaling demands of high-bandwidth, multi-user, communication networks.
DEVELOPMENT OF MITSUBISHI DRIVER SUPPORT SYSTEM

The Mitsubishi Driver Support System (MDSS) consists of three sub-systems, Lane Departure Warning System, Side-rear Monitor, and Preview Distance Control. The integrated function of MDSS can be interpreted as monitoring road and traffic conditions around the vehicle, easing the operational demands on the driver, and prompting the driver to take greater care to avoid a lapse of concentration or careless mistakes. This paper describes the support functions, the system configurations and the system benefits of the MDSS. (A*) For the covering abstract see ITRD E110327.
Managing Tag Collision in RFID Data Streams using Smart Tag Anti-Collision Techniques

Radio Frequency Identification (RFID) is considered an emerging technology for advancing a wide range of applications, such as supply chain management and distribution. However, despite the extensive development of the RFID technology in many areas, the RFID tags collision problems remain a serious issue. Collision problems occur due to the simultaneous presence of multiple numbers of tags within the reader zone. To solve collision problems, different anti-collision methods have been mentioned in literature. These methods are either insufficient or too complex, with a high overhead cost of implementation. In this chapter, the authors propose a novel deterministic anti-collision algorithm using combinations of Q-ary trees with the intended goal to minimise memory usage queried by the RFID reader. By reducing the size of queries, the RFID reader can preserve memories, and the identification time can be improved. In addition, the chapter introduces a novel probabilistic group-based anti-collision method to improve the overall performance of the tag recognition process.
Naturalistic Driving Study: Technical Coordination and Quality Control

This report describes the technical coordination and quality control carried out by the Virginia Tech Transportation Institute (VTTI) for the Strategic Highway Research Program 2 (SHRP 2) Naturalistic Driving Study (NDS). This project encompassed procurement of the data acquisition system (DAS) and all associated installation and driver assessment equipment; coordination of human subjects protections; participant recruitment; training and coordination of the six site contractors that carried out participant enrollment, instrumentation, and data retrieval; data management; data processing; and quality control. From October 2010 through November 2013, the study collected continuous driving information on more than 3,000 light-vehicle drivers, covering about 50 million miles of driving in the six study sites. In this report, potential users of the SHRP 2 NDS data or findings will find a summary of data collection methods and procedures, instrumentation, quality control, and project management.
Utilizing Water Treatment Residuals to Reduce Phosphorus Runoff from Biosolids

Approximately 40% of biosolids (sewage sludge) produced in the U.S. are incinerated or landfilled rather than land applied due to concern over non-point source P (phosphorus) runoff. The objective of this study was to determine the impact of chemical amendments on WEP (water-extractable phosphorus) in applied treatments and DRP (dissolved reactive phosphorus) in runoff from biosolids-amended soils. Rainfall simulations were conducted in 2006 on field plots fertilized with biosolids that had been treated with alum [(Al2SO4)3·14H2O], ferric chloride (FeCl3) or an alum-based WTR (water treatment residual) at a rate of 20% (wt/wt) to reduce DRP in runoff. In 2007, rainfall simulations were conducted using WTR/biosolid blends of 15% and 30% (wt/wt) that were allowed to incubate for three weeks prior to application. Cumulative DRP runoff load observed for the 20% WTR treatment was not significantly different from other chemical treatments and resulted in a 45% reduction in DRP runoff as compared to the untreated biosolids application. Cumulative DRP runoff load in 2007 for the 15% and 30% WTR treatments resulted in significantly lower DRP loads compared to untreated biosolids and led to DRP runoff load reductions of 78% and 85% (compared to the untreated biosolids application), respectively.