Miracle-dz/UniFAR-FTUs huggingface dataset:
Error Probability Analysis for Rectangular Differential OFDM With Index Modulation Over Dispersive Channels

In this letter, a novel forgetting factor aided rectangular differential (RD) orthogonal frequency division multiplexing (OFDM) with index modulation (IM) is proposed for dispersive channels, which amalgamates the concept of RD coding for exploiting the benefits of OFDM-IM with the absence of channel state information (CSI). To be more specific, <inline-formula> <tex-math notation="LaTeX">${N}$ </tex-math></inline-formula> subcarriers are partitioned into <inline-formula> <tex-math notation="LaTeX">${G}$ </tex-math></inline-formula> subblocks for IM mapping. By employing RD coding during two adjacent subblocks, non-coherent detection without CSI can be carried out at the receiver. To further improve the performance, a novel forgetting factor is exploited at the receiver, which can be optimized via a closed form without extra complexity. Based on the derived forgetting factor, the upper bound of the average bit error probability (ABEP) of the proposed RD-OFDM-IM scheme is derived and is validated by the simulation results. Both the theoretical and simulation results indicate that the proposed RD-OFDM-IM scheme is capable of providing a considerable performance gain over its conventional differential OFDM (D-OFDM) counterpart.
SIRT3-Dependent Mitochondrial Dynamics Remodeling Contributes to Oxidative Stress-Induced Melanocyte Degeneration in Vitiligo

Mitochondrial dysregulation has been implicated in oxidative stress-induced melanocyte destruction in vitiligo. However, the molecular mechanism underlying this process is merely investigated. Given the prominent role of nicotinamide adenine dinucleotide (NAD+)-dependent deacetylase Sirtuin3 (SIRT3) in sustaining mitochondrial dynamics and homeostasis and that SIRT3 expression and activity can be influenced by oxidative stress-related signaling, we wondered whether SIRT3 could play an important role in vitiligo melanocyte degeneration by regulating mitochondrial dynamics. Methods: We initially testified SIRT3 expression and activity in normal and vitiligo melanocytes via PCR, immunoblotting and immunofluorescence assays. Then, cell apoptosis, mitochondrial function and mitochondrial dynamics after SIRT3 intervention were analyzed by flow cytometry, immunoblotting, confocal laser microscopy, transmission electron microscopy and oxphos activity assays. Chromatin immunoprecipitation (ChIP), co-immunoprecipitation (Co-IP), immunoblotting and immunofluorescence assays were performed to clarify the upstream regulatory mechanism of SIRT3. Finally, the effect of honokiol on protecting melanocytes and the underlying mechanism were investigated via flow cytometry and immunoblotting analysis. Results: We first found that the expression and the activity of SIRT3 were significantly impaired in vitiligo melanocytes both in vitro and in vivo. Then, SIRT3 deficiency led to more melanocyte apoptosis by inducing severe mitochondrial dysfunction and cytochrome c release to cytoplasm, with Optic atrophy 1 (OPA1)-mediated mitochondrial dynamics remodeling involved in. Moreover, potentiated carbonylation and dampened peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) activation accounted for SIRT3 dysregulation in vitiligo melanocytes. Finally, we proved that honokiol could prevent melanocyte apoptosis under oxidative stress by activating SIRT3-OPA1 axis. Conclusions: Overall, we demonstrate that SIRT3-dependent mitochondrial dynamics remodeling contributes to oxidative stress-induced melanocyte degeneration in vitiligo, and honokiol is promising in preventing oxidative stress-induced vitiligo melanocyte apoptosis.
Electric machine dynamics

Boldea and Nasar present a treatment of electric machine dynamics pertaining to modern static-power electric drives and electric power generators. They introduce a mathematical approach (such as that based on the orthogonal axis machine model), and include numerous examples that illustrate the analysis methods discussed. CONTENTS: Fundamentals of Electromechanical Energy Conversion. Electric Machine Models. DC Commutator Machines. Synchronous Machines. Induction Machines.
Measuring Technological Pedagogical Content Knowledge in Preservice Teacher Education

Abstract Many research efforts are underway that focus on developing the Technological Pedagogical Content Knowledge (TPACK) framework (Koehler & Mishra, 2007; Mishra & Koehler, 2006) as a lens through which to observe the role of technology in teacher knowledge. This review of literature examines the development of the TPACK framework with a particular focus on assessing TPACK in the context of preservice teacher preparation programs. In an effort to highlight the emerging instruments and methods currently available for use with this specific group, this study provides an overview of instruments and methods as well as a discussion of the challenges, purposes, and potential uses of these tools for TPACK-based evaluation of preservice teacher preparation experiences.
The true motives behind ISO 9000 certification: Their effect on the overall certification benefits and long term contribution towards TQM

This paper tests and proves empirically the dramatic effect that an organisation’s true motives towards ISO 9000 certification may have on its future effectiveness and value to the certified companies. The paper reveals the true motives behind ISO 9000 certification for 85 large Greek companies and statistically tests their relationship with: after‐ISO performance and performance improvement in eight basic TQM categories; and the overall benefits gained from certification. The paper also reveals the real quantitative and qualitative “results” that these companies had from the standards implementation, addressing one main deficiency of the standards, which is the absence of requirements related to real “results” in the organisations. Finally, factor analysis is applied in both certification motives and benefits, revealing the main factors/categories of both, and their in‐between relationship.
DEVELOPING A PARALLEL CLASSIFIER FOR MINING IN BIG DATA SETS

Data mining is the extraction of information and its roles from a vast amount of data. This topic is one of the most important topics these days. Nowadays, massive amounts of data are generated and stored each day. This data has useful information in different fields that attract programmers’ and engineers’ attention. One of the primary data mining classifying algorithms is the decision tree. Decision tree techniques have several advantages but also present drawbacks. One of its main drawbacks is its need to reside its data in the main memory. SPRINT is one of the decision tree builder classifiers that has proposed a fix for this problem. In this paper, our research developed a new parallel decision tree classifier by working on SPRINT results. Our experimental results show considerable improvements in terms of the runtime and memory requirements compared to the SPRINT classifier. Our proposed classifier algorithm could be implemented in serial and parallel environments and can deal with big data. ABSTRAK: Perlombongan data adalah pengekstrakan maklumat dan peranannya dari sejumlah besar data. Topik ini adalah salah satu topik yang paling penting pada masa ini. Pada masa ini, data yang banyak dihasilkan dan disimpan setiap hari. Data ini mempunyai maklumat berguna dalam pelbagai bidang yang menarik perhatian pengaturcara dan jurutera. Salah satu algoritma pengkelasan perlombongan data utama adalah pokok keputusan. Teknik pokok keputusan mempunyai beberapa kelebihan tetapi kekurangan. Salah satu kelemahan utamanya adalah keperluan menyimpan datanya dalam memori utama. SPRINT adalah salah satu pengelasan pembangun pokok keputusan yang telah mengemukakan untuk masalah ini. Dalam makalah ini, penyelidikan kami sedang mengembangkan pengkelasan pokok keputusan selari baru dengan mengusahakan hasil SPRINT. Hasil percubaan kami menunjukkan peningkatan yang besar dari segi jangka masa dan keperluan memori berbanding dengan pengelasan SPRINT. Algoritma pengklasifikasi yang dicadangkan kami dapat dilaksanakan dalam persekitaran bersiri dan selari dan dapat menangani data besar.
Real-Coded Genetic Algorithm Based Design and Analysis of an Auto-Tuning Fuzzy Logic PSS

One important issue in power systems is dynamic instability due to loosing balance relation between electrical generation and a varying load demand that justifies the necessity of stabilization. Moreover, Power System Stabilizer (PSS) must have capability of producing appropriate stabilizing signals over a wide range of operating conditions and disturbances. To overcome these drawbacks, this paper proposes a new method for robust design of PSS by using an auto-tuning fuzzy control in combination with Real-Coded Genetic Algorithm (RCGA). This method includes two fuzzy controllers; internal fuzzy controller and supervisor fuzzy controller. The supervisor controller tunes the internal one by on-line applying of nonlinear scaling factors to inputs and outputs. The RCGA￢based method is used for off-line training of this supervisor controller. The proposed PSS is tested in three operational conditions; nominal load, heavy load, and in the case of fault occurrence in transmission line. The simulation results are provided to compare the proposed PSS with conventional fuzzy PSS and conventional PSS. By evaluating the simulation results, it is shown that the performance and robustness of proposed PSS in different operating conditions is more acceptable.
Heat release rate and engine vibration correlation to investigate combustion propensity of an IDI engine run with biodiesel (MME) and methanol additive as an alternative to diesel fuel

An experimental investigation was carried out to study the combustion pressure, heat release rate and cylinder vibration of an Indirect Diesel Injection (IDI) engine fueled with Mahua methyl ester (MME) along with methanol additive blends. A four-stroke single-cylinder IDI engine was used for this investigation. A comparative study was conducted using diesel, MME and methanol additive blends of MME on an IDI engine. Substantial improvement can be observed from the net heat and cumulative heat release rate plots in which 3% additive blend reached the performance of diesel fuel and the corresponding cylinder vibration plots indicated smoother combustion for the above blend. This envisages that above blend reduces the heterogeneity of combustion to greater extent and ensures judicious sharing of combustion within the chambers leading to better torque conversion and lesser possibility of leakage of biodiesel into the crank case at higher loads of the engine. Five additive blends of methanol in MME were tested, the blending ratios of 1/99%, 2/98%, 3/97%, 4/96% and 5/95% additive methanol is added to MME, and five discrete part load conditions viz. No Load, 0.77 kW, 1.54 kW, 2.31 kW and 2.70 kW loads without gear box and clutch assembly ensuring stable engine operation.
Finite element techniques for calculations of wave modes in one‐dimensional structural waveguides

This work presents a comparison of two semi‐analytical techniques that may be used for dynamics and wave propagation analysis of one‐dimensional structural waveguide: semi‐analytical finite element (SAFE), which describes the wave motion in the propagation direction by orthogonal harmonics, and wave finite element (WFE), which is similar but based on the existing finite element procedures. The relationship of two techniques is examined, with some elements explicitly provided. Some technical issues and the efficiency of the elements with or without incompatible modes are discussed. Examples are presented to illustrate the efficiency and accuracy of both techniques for wave mode calculations, including plane waves in plates, axially guided waves in cylindrical pipes, waves in solid waveguides with complex cross sections and waves in rib‐stiffened panel. Numerical studies have found that the WFE solutions approach the SAFE solutions with the elimination of axial model size‐induced dispersion by decreasing the element aspect ratio if the same grid and interpolation is used for waveguide cross section; if the element aspect ratio is properly chosen, the errors caused by axial discretisation in WFE model is insignificant in contrast to the cross‐sectional discretisation errors, especially for the wave mode solutions. Copyright © 2011 John Wiley & Sons, Ltd.
The Gary schools

The reader may discover in this book an innovative school system that embodies the concepts of a relevant education, a community school, an educational park, and team teaching. Originally published in 1916, "The Gary Schools" is a forthright account of the public school system of Gary, Indiana, under the superintendency of William Wirt. At a time when Gary was being developed by United States Steel Corporation, Wirt initiated a novel educational program to meet the problems of urban life and demands of a modern vocation. From nursery school to the first years of college, the Gary plan was to educate the whole child in an integrated and continuous fashion. Courses in the industrial and technical arts were taught along with conventional academic subjects, and the truly "public" school meshed classrooms and shops with municipal playgrounds, parks and gardens, libraries and museums. Wirt also introduced the "platoon" system, which efficiently utilized a relatively small number of teachers and facilities to take care of a maximum number of students. Bourne thus describes a modern school system that grew in recognition of a social need. It was different in curriculum, method, and organization from other schools of the time and was immensely popular with progressive educators everywhere.In a long introduction the editors attempt to bring the Gary system and the style of Bourne's account into the context of the period. They provide a biographical sketch of Randolph Bourne, social reformer and radical, and examine the social and political forces his sponsorship represented. In itself a lively essay, the introduction covers Bourne's career with the "New Republic, " the struggles with his publisher, and the attempted introduction of the Gary plan into the New York City schools--a political endeavor that resulted in large demonstrations and riots.In an epilogue to Bourne's enthusiastic account, the book also includes an annotated and abridged version of the summary volume of the 1918 critique of the Gary system by Abraham Flexner, an educator of the day, and Frank P. Bachman, a school administrator. "The Gary Schools" thus provides a unique opportunity for those concerned with schools and society to peruse both positively described material on innovative methods and a careful critique that seriously considers the limitations of the Gary plan and the problems of implementing change in a major cultural institution.
Biologically Inspired Sensing and MIMO Radar Array Processing

OF THE DISSERTATION Biologically Inspired Sensing and MIMO Radar Array Processing by Murat Akcakaya Doctor of Philosophy in Electrical Engineering Washington University in St. Louis, December 2010 Research Advisor: Dr. Arye Nehorai The contributions of this dissertation are in the fields of biologically inspired sensing and multi-input multi-output (MIMO) radar array processing. In our research on biologically inspired sensing, we focus on the mechanically coupled ears of the female Ormia ochracea. Despite the small distance between its ears, the Ormia has a remarkable localization ability. We statistically analyze the localization accuracy of the Ormia’s coupled ears, and illustrate the improvement in the localization performance due to the mechanical coupling. Inspired by the Ormia’s ears, we analytically design coupled small-sized antenna arrays with high localization accuracy and radiation performance. Such arrays are essential for sensing systems in military and civil applications, which are confined to small spaces. We quantitatively demonstrate the improvement in the antenna array’s radiation and localization performance due to the biologically inspired coupling. On MIMO radar, we first propose a statistical target detection method in the presence of realistic clutter. We use a compound-Gaussian distribution to model the heavy ii tailed characteristics of sea and foliage clutter. We show that MIMO radars are useful to discriminate a target from clutter using the spatial diversity of the illuminated area, and hence MIMO radar outperforms conventional phased-array radar in terms of target-detection capability. Next, we develop a robust target detector for MIMO radar in the presence of a phase synchronization mismatch between transmitter and receiver pairs. Such mismatch often occurs due to imperfect knowledge of the locations as well as local oscillator characteristics of the antennas, but this fact has been ignored by most researchers. Considering such errors, we demonstrate the degradation in detection performance. Finally, we analyze the sensitivity of MIMO radar target detection to changes in the cross-correlation levels (CCLs) of the received signals. Prior research about MIMO radar assumes orthogonality among the received signals for all delay and Doppler pairs. However, due to the use of antennas which are widely separated in space, it is impossible to maintain this orthogonality in practice. We develop a target-detection method considering the non-orthogonality of the received data. In contrast to the common assumption, we observe that the effect of non-orthogonality is significant on detection performance.
Pulsatile electrical stimulation of auditory nerve fibres : a modelling approach

A stochastic leaky integrate-and-fire nerve model with a dynamical threshold (LIFDT) has been derived for the neural response to sinusoidal electrical stimulation. The LIFDT model incorporates both the refractory effects and the accommodation effects in the interpulse interactions. In this thesis, this phenomenological nerve model is extended for the neural response to pulsatile electrical stimulation, which is widely used in cochlear implants as it reduces inter channel interference. Neurophysiological data from adult guinea pigs were fitted to the LIFDT model. First, the parameters were constrained by the Input/output (I/O) curve analysis. Analysis of the data showed strong accommodation effects. The figures of I/O function for each pulse were plotted according to the physiological data. Fitting the I/O function of the data constrained the value of four variables of LIFDT model. The other five parameters were “optimised by eye”. Although the LIFDT is built with stimulus-dependent threshold, the response of short duration biphasic pulsatile stimuli exhibits weak accommodation effects. Then, in order to avoid the complication of full optimization, analytical approximation of the LIFDT model was derived for pulsatile electrical stimulation. It improves computational efficiency and provides information on how the parameters of the LIFDT model affect the accommodation effects. Theoretical predictions indicate that the LIFDT model could not capture the strong accommodation effects in the neurophysiological data due to structural problems. Alternatively, a Markov renewal process model was utilized to track the pulsetrain response. The stationary and non-stationary Markov renewal process models were fitted to the neurophysiological data. Both models can interpret the conventional PST histograms into conditional probabilities, which are directly related to the interpulse intervals. The consistent results from those two models provide a qualitative analysis of the accommodation characteristics.
Advanced Systems Theory Applied to AMB Systems

In this thesis we look at the application of advanced systems theoretic algorithms for an experimental Active Magnetic Bearing System (AMB). These systems are inherently unstable and therefore require a feedback controller. Accurate modeling of these systems with input-output data is hindered due to the strong correlation between the inputs and noise. Recently a predictor based subspace identification algorithm has been developed specially catered to data from closed-loop experiments. We use this algorithm to build models for a flexible AMB spindle. In order to improve the accuracy of the model, we use frequency domain method which leads to a nonlinear optimization problem. We consider a variety of problem scenarios for designing controllers for rejecting disturbances that are caused due to mass imbalances. For ensuring performance against an uncertainty in the rotational speed we use a robust synthesis algorithm that is known to be convex. We synthesize H-infinity controllers and observe that for a model with flexible dynamics the resulting controllers are unstable. To realize the performance benefits of an unstable controller, we use a switching method based on the Youla parameters of the stabilizing controllers. We also design and implement LPV controllers for rejecting disturbances over a range of rotational speeds.
Performance analysis of noncoherent Binary Frequency Shift Keying using Equal Gain Combining and Post Detection Selection Combining over a Nakagami fading channel

Abstract : In this thesis, the performance of a noncoherent Binary Frequency Shift Keying (BFSK) receiver using Equal Gain Combining (EGC) and Post Detection Selection Combining (PDSC) techniques over a frequency nonselective and slowly Nakagami fading channel is investigated. Analytical and numerical results obtained for EGC are compared to those obtained for first order PDSC (PDSC-1), second order PDSC (PDSC-2) and third order PDSC (PDSC-3).
Design And Development Of Mould For Wire Manager: A Review

It is tedious to pass number of wires of different sizes through the slot provided in existing wire manager so, it is required to design the mould for wire manager and improvement in existing design is a must. An effort is made in this paper to review various existing techniques of designing the mould for wire manager. This will provides new direction to design and analysis of mould for multi slot on wire
Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning

Nmap Network Scanning is the official guide to the Nmap Security Scanner, a free and open source utility used by millions of people for network discovery, administration, and security auditing. From explaining port scanning basics for novices to detailing low-level packet crafting methods used by advanced hackers, this book suits all levels of security and networking professionals. A 42-page reference guide documents every Nmap feature and option, while the rest of the book demonstrates how to apply those features to quickly solve real-world tasks. Examples and diagrams show actual communication on the wire. Topics include subverting firewalls and intrusion detection systems, optimizing Nmap performance, and automating common networking tasks with the Nmap Scripting Engine. Hints and instructions are provided for common uses such as taking network inventory, penetration testing, detecting rogue wireless access points, and quashing network worm outbreaks. Nmap runs on Windows, Linux, and Mac OS X. Nmap's original author, Gordon "Fyodor" Lyon, wrote this book to share everything he has learned about network scanning during more than 11 years of Nmap development. Visit http://nmap.org/book for more information and sample chapters.