Miracle-dz/UniFAR-FTUs huggingface dataset:
Sparse Array Antenna Signal Reconstruction using Compressive Sensing for Direction of Arrival Estimation

Direction of Arrival (DOA) estimation in radar applications depends on both the pattern quality and signal to noise ratio of a radar echo. To avoid inaccuracies in the DOA estimation precise knowledge is required for the main beam, and pattern sidelobes should be sufficiently small to suppress signals from other directions. In a sparse array the antenna beam pattern is degraded due to a broadened main beam with increased side lobes and the presence of grating lobes. Hence more energy is radiated into unwanted directions. It can be said that a dense array with defective elements is some sort of sparse array because the same disadvantages (high sidelobes, degraded antenna patterns) also occur when sparse arrays with element spacings > λ/2 are used. lt is however favorable to use sparse arrays since this can increase the resolution as the same amount of elements can be distributed over a larger antenna aperture. A literature study accompanied with Matlab simulations shows that compressive sensing techniques are able to reconstruct the antenna pattern of λ/2 spaced line array with failed elements. The signal of the M-element sparse line array which is reconstructed contains only 25% of the elements of its equivalent fully dense N-element λ/2 spaced array
Impact of a domestic wastewater treatment plant on groundwater pollution, north Jordan

An assessment of groundwater pollution in the area surrounding a domestic wastewater treatment plant in northern Jordan has been carried out. Groundwater in the study area is classified as alkaline earth water with increased portions of alkalis and prevailing chloride, tending to shift to alkaline water with the dominance of chloride. This trend indicates mixing between the two end members of fresh Ca 2+ -HCO3 – water and saline Na + -Cl – water. Spatially, the highest concentrations of the hydrochemical parameters were found in close proximity of the Al Ramtha Wastewater Treatment Plant (RWWTP). Nitrate, which is the most common human-introduced pollutant into groundwater resources, was used to evaluate pollution of phreatic groundwater in the study area. Its concentration (as NO3 – ) ranges between 1 mg/L and 366 mg/L, with an average of 79 mg/L. A total of 71% of the samples present nitrate concentrations exceeding the threshold value for anthropogenic sources (20 mg/L), and more than 50% in excess of World Health Organization (WHO) standards for drinking water (50 mg/L). The most important factors affecting the magnitude of groundwater pollution are depth to groundwater table, aquifer transmissivity (hydraulic conductivity), lineaments density, and distance from treatment plant with calculated correlation coefficients of -0.51, 0.65, 0.70, and -0.75 to nitrate concentration, r espectively.
Improving Energy Supply & Demand in Rural Thai Villages

ii Executive Summary . iii Background . iii Results . iv Recommendations and Conclusions . v Acknowledgments . vi Authorship Page . viii Table of Figures . xii List of Tables . xiv List of Acronyms . xv Chapter 1: Introduction . 1 Chapter 2: Literature Review . 3 2.1 Thailand . 3 2.2 Site Description: Nakhon Ratchasima . 3 2.2.1 Energy Usage in Nakhon Ratchasima. 4 2.3 Population and Community Development Association. 8 2.4 Energy Consumption and Production in Thailand . 9 2.5 The Thai Government and Renewable Energy. 13 2.6 Renewable Energy . 14 2.6. 1 Biomass . 15 2.6. 2 Geothermal . 17 2.6. 3 Hydropower . 17 2.6. 4 Wind . 18 2.6. 5 Biodiesel . 19 2.6. 6 Photovoltaic Hybrid Systems . 19 2.6. 7 Solar Energy. 20 2.6. 8 Solar Powered Water System. 22 2.7 Case Studies . 24
Extension orientée objet d'un SGBD relationnel

L'objectif de ce travail est la conception et la realisation d'un Systeme de Gestion de Base de Donnees Relationnel (SGBDR) integrant les concepts et la technologie "objets". Le principe de notre approche est d'etendre les domaines relationnels aux types abstraits (ADT) et revient a coupler de facon relativement faible les concepts et mecanismes objets au modele et a un systeme relationnels. Cela introduit des problemes de modelisation et d'optimisation nouveaux qui restent a etudier. Dans un premier temps, le modele de donnees et les caracteristiques de l'extension sont definis. La notion de type abstrait est introduite pour exprimer de nouveaux domaines : un ADT definit une structure de donnees et un ensemble de methodes (fonctions) qui constituent son unique interface de manipulation. Un mecanisme d'heritage simple est offert. Des constructeurs sont disponibles pour definir la structure de donnees d'un type ; on introduit ainsi la notion d'objet complexe. Le concept de partage, associe a l'identite d'objet, est un apport important de ce travail. Le langage associe au modele est une extension de SQL appelee ESQL ; le langage d'ecriture des methodes actuellement disponible est une extension de C. La mise en oeuvre d'un tel systeme consiste a developper les composants necessaires au support d'objets et a les integrer a un noyau de SGBDR existant. Elle permet de mettre en evidence trois modules principaux. Le gestionnaire de types est un complement du gestionnaire de catalogue relationnel qui gere les definitions d'ADT. Le gestionnaire de methodes regroupe un ensemble de fonctions allant de la compilation a l'execution. Le gestionnaire d'objets assure le stockage et la manipulation des objets complexes (instances d'ADT) ; cette partie a notamment permis d'etudier des techniques evoluees de stockage d'objets.
Power spectral analysis of heart rate and blood pressure: markers for autonomic balance or indicators of baroreflex control?

In this issue of Clinical Science (see pp. 103-109) Sleight et al. raise the question of whether power spectral analysis of heart rate and blood pressure offers useful markers for sympathetic and parasympathetic tone, or whether they are largely an index of baroreflex gain. When power spectral analysis of cardiovascular parameters was introduced to haemodynamic investigations [l], broad enthusiasm for this method developed. It was considered a promising tool to assess autonomic nerve activity by non-invasive techniques. This is of particular clinical interest, since diagnosis, therapy and prognosis of many cardiovascular diseases may rely on the sympatho-vagal balance [a]. Based on experimental and clinical studies employing pharmacological receptor blockades [3], various stressors [4] or several pathophysiological states [5], the general concept was that low-frequency oscillations (0.1 Hz in humans) reflect sympathetic (and perhaps also parasympathetic) nerve activity, whereas respirationrelated, high-frequency oscillations (0.25 Hz in humans) mirror parasympathetic tone [6, 71. However, serious concern about this concept was raised by DeBoer et al. [S]. They introduced a beat-tobeat model of the cardiovascular system that could explain low-frequency oscillations in heart rate and blood pressure as a resonance phenomenon due to the delay in the sympathetic control loop of the baroreflex. This point of view is supported by a number of studies in sinoaortic denervated animals
Deregulates Apoptosis in Malignant Melanoma

Malignant melanoma is the most invasive and deadly form of skin cancer with no effective therapy to treat advanced disease, leading to poor survival rates. Akt3 signaling plays an important role in deregulating apoptosis in f70% of melanomas. Thus, targeting Akt3 signaling in melanoma patients has significant therapeutic potential for inhibiting melanomas, but no Akt3-specific chemotherapeutic agent exists. Unfortunately, nonspecific Akt inhibitors can cause systemic toxicity or increase metastasis. Identifying and targeting the Akt3 substrate that deregulates apoptosis might circumvent these complications but would require demonstration of its functional importance in disrupting normal apoptosis. In this study, PRAS40 was identified as an Akt3 substrate that deregulated apoptosis to promote melanoma tumorigenesis. Levels of phosphorylated PRAS40 (pPRAS40) increased during melanoma tumor progression paralleling increasing Akt3 activity. Majority of melanomas from patients with elevated Akt activity also had correspondingly higher levels of pPRAS40. Targeting PRAS40 or upstream Akt3 similarly reduced anchorage-independent growth in culture and inhibited tumor development in mice. Mechanistically, decreased pPRAS40 increased tumor cell apoptosis as well as sensitivity of melanoma cells to apoptosis-inducing agents, thereby decreasing chemoresistance. Collectively, these studies provide a solid mechanistic basis for targeting PRAS40 to inhibit the Akt3 signaling cascade and thereby retard melanoma development. [Cancer Res 2007;67(8):3626–36]
International Classification of Reliability for Implanted Cochlear Implant Receiver Stimulators

Objective: To design an international standard to be used when reporting reliability of the implanted components of cochlear implant systems to appropriate governmental authorities, cochlear implant (CI) centers, and for journal editors in evaluating manuscripts involving cochlear implant reliability. Study Design: The International Consensus Group for Cochlear Implant Reliability Reporting was assembled to unify ongoing efforts in the United States, Europe, Asia, and Australia to create a consistent and comprehensive classification system for the implanted components of CI systems across manufacturers. Setting: All members of the consensus group are from tertiary referral cochlear implant centers. Interventions: None. Main Outcome Measure: A clinically relevant classification scheme adapted from principles of ISO standard 5841-2:2000 (1) originally designed for reporting reliability of cardiac pacemakers, pulse generators, or leads. Results: Standard definitions for device failure, survival time, clinical benefit, reduced clinical benefit, and specification were generated. Time intervals for reporting back to implant centers for devices tested to be "out of specification," categorization of explanted devices, the method of cumulative survival reporting, and content of reliability reports to be issued by manufacturers was agreed upon by all members. The methodology for calculating Cumulative survival was adapted from ISO standard 5841-2:2000 (1). Conclusion: The International Consensus Group on Cochlear Implant Device Reliability Reporting recommends compliance to this new standard in reporting reliability of implanted CI components by all manufacturers of CIs and the adoption of this standard as a minimal reporting guideline for editors of journals publishing cochlear implant research results.
Causes and consequences of variation in offspring body mass: meta‐analyses in birds and mammals

Early survival is highly variable and strongly influences observed population growth rates in most vertebrate populations. One of the major potential drivers of survival variation among juveniles is body mass. Heavy juveniles are better fed and have greater body reserves, and are thus assumed to survive better than light individuals. In spite of this, some studies have failed to detect an influence of body mass on offspring survival, questioning whether offspring body mass does indeed consistently influence juvenile survival, or whether this occurs in particular species/environments. Furthermore, the causes for variation in offspring mass are poorly understood, although maternal mass has often been reported to play a crucial role. To understand why offspring differ in body mass, and how this influences juvenile survival, we performed phylogenetically corrected meta‐analyses of both the relationship between offspring body mass and offspring survival in birds and mammals and the relationship between maternal mass and offspring mass in mammals. We found strong support for an overall positive effect of offspring body mass on survival, with a more pronounced influence in mammals than in birds. An increase of one standard deviation of body mass increased the odds of offspring survival by 71% in mammals and by 44% in birds. A cost of being too fat in birds in terms of flight performance might explain why body mass is a less reliable predictor of offspring survival in birds. We then looked for moderators explaining the among‐study differences reported in the intensity of this relationship. Surprisingly, sex did not influence the intensity of the offspring mass–survival relationship and phylogeny only accounted for a small proportion of observed variation in the intensity of that relationship. Among the potential factors that might affect the relationship between mass and survival in juveniles, only environmental conditions was influential in mammals. Offspring survival was most strongly influenced by body mass in captive populations and wild populations in the absence of predation. We also found support for the expected positive effect of maternal mass on offspring mass in mammals (rpearson = 0.387). As body mass is a strong predictor of early survival, we expected heavier mothers to allocate more to their offspring, leading them to be heavier and so to have a higher survival. However, none of the potential factors we tested for variation in the maternal mass–offspring mass relationship had a detectable influence. Further studies should focus on linking these two relationships to determine whether a strong effect of offspring size on early survival is associated with a high correlation coefficient between maternal mass and offspring mass.
Local DNA sequence determinants of FUT2 copy number variation

Blood 2003;101:2426-33. 3. Snyder E, McCullough J, Slichter SJ, Strauss RG, LopezPlaza I, Lin JS, Corash L, Conlan MG; SPRINT Study Group. Clinical safety of platelets photochemically-treated with amotosalen HCl and ultraviolet A light for pathogen inactivation: the SPRINT trial. Transfusion 2005;45:1864-75. 4. Janetzko K, Cazenave JP, Kluter H, Kientz D, Michel M, Beris P, Lioure B, Hastka J, Marblie S, Mayaudon V, Lin L, Lin JS, Conlan MG, Flament J. Therapeutic efficacy and safety of photochemically-treated apheresis platelets processed with an optimized integrated set. Transfusion 2005; 45:1443-52. 5. Kerkhoffs JL, van Putten WL, Novotny VM, Te Boekhorst PA, Schipperus MR, Zwaginga JJ, van Pampus LC, de Greef GE, Luten M, Huijgens PC, Brand A, van Rhenen DJ; Dutch—Belgian HOVON Cooperative Group. Clinical effectiveness of leukoreduced, pooled donor platelet concentrates, stored in plasma or additive solution with and without pathogen reduction. Br J Haem 2010;150: 209-17. 6. The Mirasol Clinical Evaluation Study Group. A randomized controlled clinical trial evaluating the performance and safety of platelets treated with MIRASOL pathogen reduction technology. Transfusion 2010;50:2362-75. 7. McCullough J, Vesole DH, Benjamin RJ, Slichter SJ, Pineda A, Snyder E, Stadtmauer EA, Lopez-Plaza I, Coutre S, Strauss RG, Goodnough LT, Fridey JL, Raife T, Cable R, Murphy S, Howard F 4th, Davis K, Lin JS, Metzel P, Corash L, Koutsoukos A, Lin L, Buchholz DH, Conlan MG. Therapeutic efficacy and safety of platelets treated with a photochemical process for pathogen inactivation: the SPRINT trial. Blood 2004;104:1534-41. 8. Corash L. The hemostatic efficacy of platelet components prepared with pathogen inactivation. Transfusion 2011;51: 1355-6. 9. Heddle NM. Optimal timing and dosing of platelet transfusions. ISBT Sci Ser 2010;5:88-94. 10. AuBuchon JP. Current status of pathogen inactivation methods. ISBT Sci Ser 2010;5:125-33.
A 5-GHz 108-Mb/s 2 $\times$2 MIMO Transceiver RFIC With Fully Integrated 20.5-dBm ${\rm P}_{\rm 1dB}$ Power Amplifiers in 90-nm CMOS

Multiple antenna transceivers combined with MIMO signal processing offer the potential for increased data rates and/or range in wireless systems. This paper presents a fully integrated 5-GHz 2times2 MIMO WLAN transceiver RFIC implemented in 90-nm CMOS. The paper identifies the key MIMO integration issues and proposes techniques to optimize MIMO performance. It is shown that crosstalk between the multiple transceivers residing on the same die can degrade MIMO performance and has to be carefully minimized, especially when power amplifiers are integrated on-die. A shared LO generation and distribution network is designed to maximize MIMO phase noise immunity without introducing undesired crosstalk. The fabricated MIMO receiver achieves a sensitivity of -63 dBm while receiving 108Mb/s in MIMO spatial multiplexing mode in the presence of a 25-ns Rayleigh fading channel. The sensitivity of a single receiver in the presence of AWGN noise is -76 dBm. Linearized 3.3-V 5-GHz power amplifiers with P1dB=20.5<! -- Character "\" changed to \ -->\ dBm deliver an average power of +13/+16 dBm each, in MIMO/SISO modes respectively (EVM=-27/-25 dB). The measured performance demonstrates the effectiveness of the isolation techniques employed. The system in a package includes an 18 mm2 die and microstrip front-end matching networks implemented on a flip-chip package
A new data science framework for analysing and mining geospatial big data

Geospatial Big Data analytics are changing the way that businesses operate in many industries. Although a good number of research works have reported in the literature on geospatial data analytics and real-time data processing of large spatial data streams, only a few have addressed the full geospatial big data analytics project lifecycle and geospatial data science project lifecycle. Big data analysis differs from traditional data analysis primarily due to the volume, velocity and variety characteristics of the data being processed. One of a motivation of introducing new framework is to address these big data analysis challenges. Geospatial data science projects differ from most traditional data analysis projects because they could be complex and in need of advanced technologies in comparison to the traditional data analysis projects. For this reason, it is essential to have a process to govern the project and ensure that the project participants are competent enough to carry on the process. To this end, this paper presents, new geospatial big data mining and machine learning framework for geospatial data acquisition, data fusion, data storing, managing, processing, analysing, visualising and modelling and evaluation. Having a good process for data analysis and clear guidelines for comprehensive analysis is always a plus point for any data science project. It also helps to predict required time and resources early in the process to get a clear idea of the business problem to be solved.
A Novel Parallel Auto-Encoder Framework for Multi-Scale Data in Civil Structural Health Monitoring

In this paper, damage detection/identification for a seven-storey steel structure is investigated via using the vibration signals and deep learning techniques. Vibration characteristics, such as natural frequencies and mode shapes are captured and utilized as input for a deep learning network while the output vector represents the structural damage associated with locations. The deep auto-encoder with sparsity constraint is used for effective feature extraction for different types of signals and another deep auto-encoder is used to learn the relationship of different signals for final regression. The existing SAF model in a recent research study for the same problem processed all signals in one serial auto-encoder model. That kind of models have the following difficulties: (1) the natural frequencies and mode shapes are in different magnitude scales and it is not logical to normalize them in the same scale in building the models with training samples; (2) some frequencies and mode shapes may not be related to each other and it is not fair to use them for dimension reduction together. To tackle the above-mentioned problems for the multi-scale dataset in SHM, a novel parallel auto-encoder framework (Para-AF) is proposed in this paper. It processes the frequency signals and mode shapes separately for feature selection via dimension reduction and then combine these features together in relationship learning for regression. Furthermore, we introduce sparsity constraint in model reduction stage for performance improvement. Two experiments are conducted on performance evaluation and our results show the significant advantages of the proposed model in comparison with the existing approaches.
Enhancing PV Hosting Capacity of Distribution Feeders using Voltage Profile Design

ACADEMIC) Distribution feeders form the last leg of the bulk power system, and have the responsibility of providing reliable power to the customers. These feeders experience voltage drops due to a combination of feeder length, load distribution, and other factors. Traditionally, voltage drop was the major concern. Now, due to an ever increasing PV penetration, overvoltage has also become a major concern. This limits the amount of solar PV that may be integrated. Few solutions exist to improve the voltage profile, where the most common is the use of voltage control devices like shunt capacitors and voltage regulators. Due to a large number of design parameters to be considered, the determination of the numbers and locations of these devices is a challenging problem. Significant research has been done to address this problem, utilizing a wide array of optimization techniques. However, many utilities still determine these locations and numbers manually. This is because most algorithms have not been adequately validated. The validation of a voltage profile design (VPD) algorithm has been presented here. The validation of this algorithm was carried out on a set of statistically relevant feeders. These feeders were chosen based on the results obtained from a feeder taxonomy study using clustering analysis. The algorithm was found to be effective in enhancing the amount of solar PV a feeder may host, while still maintaining all the voltages within the ANSI standard limits. Furthermore, the methodology adopted here may also be used for the validation of other algorithms. Enhancing PV Hosting Capacity of Distribution Feeders using Voltage Profile Design
Temporal mining for distributed systems

OF THE DISSERTATION TEMPORAL MINING FOR DISTRIBUTED SYSTEMS by Yexi Jiang Florida International University, 2015 Miami, Florida Professor Tao Li, Major Professor Many systems and applications are continuously producing events. These events are used to record the status of the system and trace the behaviors of the systems. By examining these events, system administrators can check the potential problems of these systems. If the temporal dynamics of the systems are further investigated, the underlying patterns can be discovered. The uncovered knowledge can be leveraged to predict the future system behaviors or to mitigate the potential risks of the systems. Moreover, the system administrators can utilize the temporal patterns to set up event management rules to make the system more intelligent. With the popularity of data mining techniques in recent years, these events gradually become more and more useful. Despite the recent advances of the data mining techniques, the application to system event mining is still in a rudimentary stage. Most of works are still focusing on episodes mining or frequent pattern discovering. These methods are unable to provide a brief yet comprehensible summary to reveal the valuable information from the high level perspective. Moreover, these methods provide little actionable knowledge to help the system administrators to better manage the systems. To better make use of the recorded events, more practical techniques are required. From the perspective of data mining, three correlated directions are considered to be helpful for system management: (1) Provide concise yet comprehensive summaries about the running status of the systems; (2) Make the systems more intelligence and