Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovative Theoretical Approaches Used for RF Power Amplifiers in Modern HDTV Systems

The essential purpose of this chapter is to introduce theoretical and numerical approaches that can be used for modeling nonlinear effects that appear intrinsically in the design of power amplifiers that have been used widely in many modern high-density television (HDTV) architectures. Important effects like the pre-distortion using adaptive techniques, with distinct characteristics like amplitude, phase, and frequen‐ cy, as well as, their specific nature such as AM/AM , AM/PM , PM/AM, and PM/PM , and constitute one of the main directions of this research. All theoretical and technological approaches have been supported by a consistent set of numerical data performed with one of the most important platform of simulations used in the great area of Radio Frequency (RF) and Microwave structures. As a direct application, we are introducing some efficient processes that can be used for the characterization of RF systems with a set of consistent laboratorial measures that permit us to visualize the effective cost and a complete architecture for the characterization of high-power amplifiers. With the continuous and innovative technological demand that is imposed by the international marketing has a great importance to find versatile systems that are capable of measuring several amplifier characteristics, as gain, output power, inter-modulation distortion of different signals, efficiency, current, and temperature that constitute another direction of research that has been demanded strongly for news advanced technologies used widely in modern HDTV systems.
Privacy risks of whole-slide image sharing in digital pathology

Access to Whole-Slide Images has become a cornerstone of the development of AI methods in pathology, for diagnostic use and research. Authors have developed model for privacy risks analysis and propose guidelines for safe sharing of WSI data. Access to large volumes of so-called whole-slide images—high-resolution scans of complete pathological slides—has become a cornerstone of the development of novel artificial intelligence methods in pathology for diagnostic use, education/training of pathologists, and research. Nevertheless, a methodology based on risk analysis for evaluating the privacy risks associated with sharing such imaging data and applying the principle “as open as possible and as closed as necessary” is still lacking. In this article, we develop a model for privacy risk analysis for whole-slide images which focuses primarily on identity disclosure attacks, as these are the most important from a regulatory perspective. We introduce a taxonomy of whole-slide images with respect to privacy risks and mathematical model for risk assessment and design . Based on this risk assessment model and the taxonomy, we conduct a series of experiments to demonstrate the risks using real-world imaging data. Finally, we develop guidelines for risk assessment and recommendations for low-risk sharing of whole-slide image data.
Neurodevelopmental, cognitive, behavioural and mental health impairments following childhood malnutrition: a systematic review

Background Severe childhood malnutrition impairs growth and development short-term, but current understanding of long-term outcomes is limited. We aimed to identify studies assessing neurodevelopmental, cognitive, behavioural and mental health outcomes following childhood malnutrition. Methods We systematically searched MEDLINE, EMBASE, Global Health and PsycINFO for studies assessing these outcomes in those exposed to childhood malnutrition in low-income and middle-income settings. We included studies assessing undernutrition measured by low mid-upper arm circumference, weight-for-height, weight-for-age or nutritional oedema. We used guidelines for synthesis of results without meta-analysis to analyse three outcome areas: neurodevelopment, cognition/academic achievement, behaviour/mental health. Results We identified 30 studies, including some long-term cohorts reporting outcomes through to adulthood. There is strong evidence that malnutrition in childhood negatively impacts neurodevelopment based on high-quality studies using validated neurodevelopmental assessment tools. There is also strong evidence that malnutrition impairs academic achievement with agreement across seven studies investigating this outcome. Eight of 11 studies showed an association between childhood malnutrition and impaired cognition. This moderate evidence is limited by some studies failing to measure important confounders such as socioeconomic status. Five of 7 studies found a difference in behavioural assessment scores in those exposed to childhood malnutrition compared with controls but this moderate evidence is similarly limited by unmeasured confounders. Mental health impacts were difficult to ascertain due to few studies with mixed results. Conclusions Childhood malnutrition is associated with impaired neurodevelopment, academic achievement, cognition and behavioural problems but evidence regarding possible mental health impacts is inconclusive. Future research should explore the interplay of childhood and later-life adversities on these outcomes. While evidence on improving nutritional and clinical therapies to reduce long-term risks is also needed, preventing and eliminating child malnutrition is likely to be the best way of preventing long-term neurocognitive harms. PROSPERO registration number CRD42021260498.
Thermal Modeling and Characterization of Nanoscale Metallic Interconnects

ACKNOWLEDGEMENTS I would like to thank my committee members Drs. I couldn't have finished my work without the help of my lab members, in par-thoroughly enjoyed my stay at Georgia Tech with other lab members. I would like to thank my parents and sister who made so many sacrifices to help me achieve my goals. Without their support I could not dream to reach this juncture in my life. I would also like to thank my dear friends Sasi and Reddy for their personal support.
Reconstructing electrical conductivity profiles from variable-frequency eddy current measurements

A method for reconstructing radially varying conductivity profiles in cylindrical conductors is described. Solenoidal driving and sensing coils surround the cylindrical sample and an AC magnetic field applied by the driving solenoid induces axisymmetric eddy currents in the sample. It is shown how a radially varying conductivity profile can be recovered from measurements of the complex impedance recorded as a function of frequency, where impedance here is defined as the ratio of the induced electromotive force (EMF) in the sensing coil to the current in the driving coil. An iterative nonlinear least-squares algorithm is employed to reconstruct the profiles. Demonstrations of the reconstruction method are presented based on both simulated and experimentally recorded impedance data.
Smart Grid Handbook

Comprehensive, cross-disciplinary coverage of Smart Grid issues from global expert researchers and practitioners. This definitive reference meets the need for a large scale, high quality work reference in Smart Grid engineering which is pivotal in the development of a low-carbon energy infrastructure. Including a total of 83 articles across 3 volumes. The Smart Grid Handbook is organized in to 6 sections: Vision and Drivers, Transmission, Distribution, Smart Meters and Customers, Information and Communications Technology, and Socio-Economic Issues.
Multisensor Segmentation-based Noise Suppression for Intelligibility Improvement in MELP Coders

ACKNOWLEDGEMENTS I would like to thank God for making this dissertation exist. The graduate study has been a long journey with many academic and mostly nonacademic challenges. Each time I found myself in trouble, I felt his hand reaching out and holding me really tight. Without his help and support, this dissertation could only be a dream for me. One of the turning points in my graduate studies, as well as my life, is when I started working with my advisor Dr David V. Anderson. I knew he was a great guy from the very beginning, but I was not expecting the wonderful years I spent in his lab. I believe that it was God's blessing to meet somebody like David. I still remember the days I was working with him in his office. One day he looked at the sky and said " Sky is the limit. " I thought he was kidding me. He was not. His strong support, friendliness, scientific and spiritual inspiration made me throw away the phd blues and start a breakthrough period in my life. He gave me the opportunity to discover and improve my intellectual abilities with a patience I probably would not have if I was in his place. He is undoubtedly one of the most influential people in my life in many ways, and I am thankful to him for everything he did for me. If there is one person besides David that I cannot forget in this acknowledgement section, it is Dr Mark A. Clements. I even paid attention to putting the " A. " in his name because of dedication to details that I became aware of, cannot really say learned, thanks to Mark. His pattern recognition class was the most inspiring class I ever took. I asked him hundreds of questions, and I do not remember a single time that he was tired of sharing his knowledge with me in the most inspiring and energetic ways. Early in my phd study, I remember one of the CSIP parties where I saw his energy, his caring, and positive attitude towards all the students he was talking to. I thought life would be much better if I am around him more often. He did not prove me wrong. Thanks to God's mercy, I got the opportunity to work with him and learned many things from this rare type of professor …
Sensor node acceleration signatures and electromyography in synchronisation and sequencing analysis in sports: A rowing perspective

Following a review of the key determinants of successful rowing, a wireless body sensor network was developed to monitor boat and body segment acceleration and surface electromyography in major muscles recruited during the rowing stroke cycle. Its design was optimised to yield maximum information about the rowing stroke cycle from fewest sensors and minimise the power consumption of the nodes. The system was validated against the Qualisys motion capture and high-speed camera system with most Pearson correlation coefficients in excess of r = 0.8. On-land ergometer experimentation allowed muscle recruitment over the stroke cycle to be studied, with data from multiple experiments combined using correlation of the acceleration signatures of back and thigh nodes (r = 0.95). It was demonstrated that it was possible to identify one of the common rowing errors of ‘shooting-the-slide’ from the data collected, and that a marked decrease in correlation of good-to-bad technique over the drive phase of the stroke (0.95 reducing to 0.34 in the experiment undertaken) could be used to indicate the presence of this error. Extension of the wireless body sensor network to encompass boat and two oarsmen was demonstrated, allowing correlation of their rowing signatures to be studied, indicating their cohesion as a crew.
Adaptação de um wiki para a informatização da documentação do Sistema de Gestão da Qualidade Adaptation of a wiki to computerize Quality Management System documentation

The ISO 9001 compliant Quality Management System documentation often creates bureaucracy in organizations. This paper describes the WikiQMS as an alternative for computerizing the documentation of this system. The scientific method was applied to develop the system. The prototype was developed using the Wiki software based on the ISO 9001 requirements found in the literature review and on an Expert Panel evaluation. The field experiment in a junior enterprise enabled to validate the system in a real setting of implementation of Quality Management System documentation. The prototype complies with the minimum requirements for implementation and management of ISO 9001 Quality Management System. Furthermore, The WikiQMS offers some advantages of Web 2.0 such as collaborative editing, collective authorship, accessibility, and usability.
Diet, fibers, and probiotics for irritable bowel syndrome

Many aspects make irritable bowel syndrome (IBS) challenging for both patients and physicians. The unclear pathogenesis with many pathways to be explored, bothering symptoms that affect the quality of life, and many subtypes of the condition are only a few reasons that make IBS difficult to control and obtain satisfactory results. Treatment options start with general advice for lifestyle, continue with non-pharmaceutical treatments, and finally touch classic treatments. In this review, pharmaceutical treatment options are not accounted for. Consensus groups and meta-analyses have concluded guidelines that overall are the same, with variations in the strength of recommendations and some cultural and geographical particularities. Dietary interventions, probiotics, and fibers can be seen as non-pharmaceutical treatments that coexist in various protocols because of the relevant evidence regarding their efficacy in treating IBS symptoms.
Wind-induced vibration characteristics and parametric analysis of large hyperbolic cooling towers with different feature sizes

For a systematic study on wind-induced vibration characteristics of large hyperbolic cooling towers with different feature sizes, the pressure measurement tests are finished on the rigid body models of three representative cooling towers with the height of 155 m, 177 m and 215 m respectively. Combining the refined frequency-domain algorithm of wind-induced responses, the wind-induced average response, resonant response, background response, coupling response and wind vibration coefficients of large cooling towers with different feature sizes are obtained. Based on the calculating results, the parametric analysis on wind-induced vibration of cooling towers is carried out, e.g. the feature sizes, damping ratio and the interference effect of surrounding buildings. The discussion shows that the increase of feature sizes makes wind-induced average response and fluctuating response larger correspondingly, and the proportion of resonant response also gradually increased, but it has little effect on the wind vibration coefficient. The increase of damping ratio makes resonant response and the wind vibration coefficient decreases obviously, which brings about no effect on average response and background response. The interference effect of surrounding buildings makes the fluctuating response and wind vibration coefficient increased significantly, furthermore, the increase ranges of resonant response is greater than background response.
An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation

The event related P300 potentials, positive waveforms in electroencephalography (EEG) signals, are often utilized in brain computer interfaces (BCI). Many studies have been carried out to improve the performance of P300 speller systems either by developing signal processing algorithms and classifiers with different architectures or by designing new paradigms. In this study, a new paradigm is proposed for this purpose. The proposed paradigm combines two remarkable properties of being a 3D animation and utilizing column-only flashings as opposed to classical paradigms which are based on row-column flashings in 2D manner. The new paradigm is utilized in a traditional two-layer artificial neural networks model with a single output neuron, and numerous experiments are conducted to evaluate and compare the performance of the proposed paradigm with that of the classical approach. The experimental results, including statistical significance tests, are presented for single and multiple EEG electrode usage combinations in 1, 3 and 15 flashing repetitions to detect P300 waves as well as to recognize target characters. Using the proposed paradigm, the best average classification accuracy rates on the test data are improved from 89.97% to 93.90% (an improvement of 4.36%) for 1 flashing, from 97.11% to 98.10% (an improvement of 1.01%) for 3 flashings and from 99.70% to 99.81% (an improvement of 0.11%) for 15 flashings when all electrodes, included in the study, are utilized. On the other hand, the accuracy rates are improved by 9.69% for 1 flashing, 4.72% for 3 flashings and 1.73% for 15 flashings when the proposed paradigm is utilized with a single EEG electrode (P8). It is observed that the proposed speller paradigm is especially useful in BCI systems designed for few EEG electrodes usage, and hence, it is more suitable for practical implementations. Moreover, all participants, given a subjective test, declared that the proposed paradigm is more user-friendly than classical ones.
Depression and stress regarding future career among university students during COVID-19 pandemic

Introduction Students generally struggle to build a good career after their graduation in developing countries like Bangladesh. Due to the COVID-19 pandemic, such struggle increased and faced with stress and depression. We aimed to inquire about the amplitude of depression and stress among university students during the COVID-19 pandemic regarding their future careers and to identify the factors associated with this depression and stress. Methods A total of 516 students at various universities participated in this cross-sectional survey. From October 2020 to February 2021, data was collected through an online survey. An e-questionnaire with socio-demographic, Patient Health Questionnaire (PHQ-9) and Perceived Stress Scale (PSS-10) questions was created using Google Forms and distributed via Facebook, WhatsApp, and other social media platforms. The universities included into the sample were selected randomly from eight divisions of Bangladesh. Descriptive statistics and Pearson chi-square tests were carried out and the association between the risk factors and the outcome (e.g. depression and stress) was assessed by the odds ratio (OR) including 95% confidence interval (CI) obtained from the binary logistic regression model. Results Among 516 participants, 380 (73.6%) were male and 136 (26.4%) were female. Around 414 (80.2%) participants had mild to severe depression and 399 (77.3%) reported having low to moderately perceived stress. Female students were 2.1 (95% CI: 1.21–3.76) times more depressed and 3.6 (95% CI: 1.87–6.76) times more stressed than the counterpart. Students, who think delaying graduation due to COVID-19 will reduce the chance of getting a job, were 1.72 (95% CI: 1.07–2.76) times more depressed. Respondents, whose department offers any internship were 36% less depressed (p = 0.053), while skilled students were 46% less stressed though it was not statistically significant (p = 0.43). Conclusion According to our findings, there is an increasing prevalence of depression and stress among students, particularly among female students and those who do not receive job-related facilities from their institutions or who are unskilled. Universities can provide mental health programs and strive to have enough space for students to participate in internships. In addition, the government and educational institutions should work together to address the growing challenge.
From Creativity to Team Innovation: Building the Bridge in Organizations

The outcome of this project is a new model for team innovation. It was created as a result of the need for teams to be better prepared to innovate. The approach of this project was to investigate, clarify, combine, synthesize and finally propose useful ways to accelerate team innovation in organizations. It started with a diagram and evolved into an articulation of each step of the model. This prototype model is called Model for Purposeful Team Innovation. The model is divided in seven steps that include identity, mission, quality, targets for improvement, roadmap, execution, monitoring to assess the maturity and readiness of teams to innovate. The purpose of this model is to help teams in organizations to reflect on their readiness to innovate, and to implement ideas that are both novel, useful and valuable for both teams and their organization. __________________________ Signature
LTR_retriever: a highly accurate and sensitive program for identification of LTR retrotransposons

Long terminal-repeat retrotransposons (LTR-RTs) are prevalent in plant genomes. Identification of LTR-RTs is critical for achieving high-quality gene annotation. Based on the well-conserved structure, multiple programs were developed for de novo identification of LTR-RTs; however, these programs are associated with low specificity and high false discovery rate (FDR). Here we report LTR_retriever, a multithreading empowered Perl program that identifies LTR-RTs and generates high-quality LTR libraries from genomic sequences. LTR_retriever demonstrated significant improvements by achieving high levels of sensitivity (91.8%), specificity (94.7%), accuracy (94.3%), and precision (90.6%) in model plants. LTR_retriever is also compatible with long sequencing reads. With 40k self-corrected PacBio reads equivalent to 4.5X genome coverage in Arabidopsis, the constructed LTR library showed excellent sensitivity and specificity. In addition to canonical LTR-RTs with 5'-TG.CA-3' termini, LTR_retriever also identifies non-canonical LTR-RTs (non-TGCA), which have been largely ignored in genome-wide studies. We identified seven types of non-canonical LTRs from 42 out of 50 plant genomes. The majority of non-canonical LTRs are Copia elements, with which the LTR is four times shorter than that of other Copia elements, which may be a result of their target specificity. Strikingly, non-TGCA Copia elements are often located in genic regions and preferentially insert nearby or within genes, indicating their impact on the evolution of genes and potential as mutagenesis tools.
Perancangan dan Pengujian Piranti Pemantauan Visual untuk Menentukan Volume Lalu Lintas

Intelligent Transportation System (ITS) applies information and communication technologies for transportation management. The problem in the study is the importance of computer vision tools to determine the volume of traffic on the highway. The design of computer vision device is performed using a static camera and the bounding box method for determining the traffic volume based on vehicle type, namely light vehicles, heavy vehicles (trucks) and motorcycles that are applied on the Gaussian Mixture Models (GMM). The classification is based on the pixel area of vehicle objects. The tests were carried out at Jalan T. Nyak Arief, Jambotape, Banda Aceh. The test results of the system achieved an accuracy of 79.32%.
Graphitic-phase C3N4 nanosheets combined with MnO2 nanosheets for sensitive fluorescence quenching detection of organophosphorus pesticides

Abstract In this study, we have developed a sensitive approach to measure organophosphorus pesticides (OPs) using graphitic-phase C3N4 nanosheets (g-C3N4) combined with a nanomaterial-based quencher, MnO2 nanosheets (MnO2 NS). Since MnO2 NS can quench the fluorescence of g-C3N4 via the inner-filter effect (IFE), enzymatic hydrolysate (thiocholine, TCh) can efficiently trigger the decomposition of MnO2 nanosheets in the presence of acetylcholinesterase (AChE) and acetylthiocholine (ATCh), resulting in the fluorescence recovery of g-C3N4. OPs, as inhibitors to AChE activity, can prevent the generation of TCh and decomposition of MnO2 nanosheets while exhibiting fluorescence quenching. Therefore, the AChE-ATCh-MnO2-g-C3N4 system can be utilized to quantitatively detect OPs based on g-C3N4 fluorescence. Under optimal conditions, the linear ranges for the determination of parathion-methyl (PM) and 2,2-dichlorovinyl dimethyl phosphate (DDVP) were found to be 0.1–2.1 ng/mL and 0.5–16 ng/mL, respectively, with limits of detection of 0.069 ng/mL and 0.20 ng/mL, respectively. The advantages of this assay are user-friendliness, ease of use, and cost effectiveness compared to other more sophisticated analytical instruments.