Miracle-dz/UniFAR-FTUs huggingface dataset:
Sub-Sampling PLL For Millimeter Wave Applications: An Overview

The sub-sampling PLL utilizes a PD that subsamples the high frequency VCO output with the reference clock. The PD and CP noise in this PLL is greatly attenuated by the high phase detection gain due to the high VCO dv/dt slew rate. It is now a proven PLL architecture and widely used for achieving low phase noise or integrated jitter yet with low power consumption. This article reviews the development of the sub-sampling PLL techniques and their usage in the millimeter wave applications.
Discovering and Transforming Exhaust Data to Realize Managerial Value

“Exhaust data” is “extra data” or “left over” data from “core data” digital transactions, collected, either intentionally or unintentionally, but for which there is no initial, specific purpose for its collection. This article differentiates core data from exhaust data, defines and describes exhaust data, and proposes how to turn it into core data to provide value for firms. We present a framework for discovering and transforming exhaust data and apply it to four case studies involving Internet search data, accounting entries and data security, social media disclosures and Edgar use logs. From the cases, we extract five managerial challenges and generate five recommendations to help managers identify exhaust data applications for realizing potential value.
Simple and Efficient Double-Talk-Detector for Acoustic Echo Cancellation

Received: 10 May 2020 Accepted: 28 July 2020 Acoustic Echo Cancellation (AEC) is a topic that has received a great interest in recent years. However, a significant challenge remains with the problem of double-talk especially when the adaptive filter has a fast convergence rate. In this case, the double-talk detector (DTD) must reply in early stage and halt updating of the adaptive filter in order to avoid filter coefficients divergence. Indeed, a complex and inappropriate DTD can seriously affect the convergence rate of the adaptive filter and global performances of the AEC system. In this paper, an implementation of a simple and efficient DTD based on a recursive estimation of the decision variable which is resulting from the level comparison between far-end and microphone signals is proposed. The presented algorithm is then compared with the normalized cross-correlation (NCC) method which is taken as a reference in this work. In the simulation tests, the recursive least squares (RLS) algorithm is used to update the adaptive filter coefficients. The speech signals used in the tests are taken from the TIMIT database.
The Audio-Visual Aesthetics of Music and Dance

Dance and music appear to belong together: Conventional definitions of dance often conceive it as a rhythmical activity in which a series of steps is performed to musical accompaniment. Indeed, dance and music share many similarities such as rhythm and may have co-evolved as a form of nonverbal communication between groups of people. Despite a rich history of composers and choreographers exploring the aesthetic relationship between dance and music, only a few scientific studies have systematically explored how the visual aesthetics of dance interact with the auditory aesthetics of sound and music. In this chapter we will focus on such interactions; we will explore the common evolutionary origins of dance and music and review existing research on how dance and music influence each other to produce an audio-visual aesthetics of sound and movement. The chapter will explore interactions in both directions: music influences dance perception by altering movement expressiveness, orienting visual attention, and by modulating memory. At the same time music perception strongly depends on groove and danceability and is shaped by the listener’s dance experience. The chapter closes with a review of methodological challenges to studying the audio-visual aesthetics of dance and music and suggestions for future research in this field.
Effect of modified chitooligosacharides on the physicochemical and microbiological characteristics of a probiotic fermented beverage

O efeito da adição de quito-oligossacarídeos modificados com glucose (COS-Glc), com potencial atividade prebiótica em uma bebida smoothie foi avaliado durante a estocagem. Duas formulações de bebida probiótica foram elaboradas com iogurte probiótico (60%) e polpa de manga (40%), sendo a formulação F1 adicionada de 2,0% de COS-Glc e a formulação F2 (controle) sem COS-Glc. Uma cultura probiótica comercial (Bifidobacterium lactis ssp.) foi utilizada em ambas as formulações. Os produtos foram avaliados quanto à qualidade higiênico-sanitária, composição físico-química, acidez titulável, sinérese e viabilidade dos micro-organismos (contagem seletiva de Lactobacillus delbrueckii subsp. bulgaricus, Streptococcus thermophilus e Bifidobacterium spp.) após 1 dia de fabricação. Verificou-se a viabilidade dos microrganismos, a qualidade higiênico-sanitária e as características físico-químicas (acidez titulável e sinérese) das bebidas ao longo de 30 dias mantidas à 8 ± 1 °C. A qualidade higiênico-sanitária foi satisfatória e as bebidas se mostraram aptas para o consumo. A adição de quito-oligossacarídeos modificados na bebida probiótica favoreceu o aumento da acidez titulável e da sinérese. A formulação F1 apresentou valores significativamente superiores de sólidos totais, fibras totais e carboidratos quando comparados à F2. A adição de COS-Glc não afetou a viabilidade dos micro-organismos probióticos na bebida ao longo da estocagem, os quais permaneceram em doses recomendadas para exercer o efeito terapêutico. A combinação de COS-Glc e probióticos podem ser utilizados juntos para a produção de bebidas lácteas tipo smoothie sem afetar as caraterísticas do produto, conferindo ainda valor adicional ao produto devido a incorporação de um ingrediente com potencial atividade prebiótica.
Selection criteria of public hospital managers in Iran health system

Introduction: The importance of management's role in any organization is obvious. Selection and appointment of competent managers in healthcare organizations -given the importance of their serviceswill also have a significant impact on health systems and communities. Therefore, it is necessary to identify and validate key management skills and competencies to design educational programs and identify and employ the best managers. Methods: This descriptive study consisted of two phases. First, a literature review was performed to identify the required competencies and skills for healthcare management and leadership based on which a five point likert-scale qestionnaire was developed. In the second phase, a Delphi technique was used to collect 20 experts' opinions about the extracted criteria in the questionnaire. Results: Based on the experts' opinions, eight key criteria including: personality traits, values, basic management knowledge, hospital management knowledge, planning skills, organizing skill and resource allocation, leadership skills, monitoring and supervision skills, and 46 sub-criteria were approved. Conclusion: Management knowledge is one of most important skills for managers; therefore, it is necessary to revise approaches for selecting managers and change the attitude of hospital managers form autocratic management to leadership and Intra-organizational collaboration and coordination.
Link Prediction on Dynamic Attributed Knowledge Graphs for Maritime Situational Awareness

Currently, maritime surveillance operators have to monitor by hand the massive amount of data at their disposal to spot the events of interest, thus limiting their capabilities. Maritime data comes from various and heterogeneous sources, that can be merged into a dynamic attributed knowledge graph which represents an evolving maritime situation. Using this graph, the automation of alert rising comes through a link prediction task: given some labels from expert knowledge, are there similar situations of interest elsewhere in the graph? In this article, we review link prediction techniques for situation awareness in a maritime context, and draw conclusions on how the addition of attributes in a dynamic graph model could improve results on this task.
Advanced heart failure and transplant in congenital heart disease

### Learning objectives Due to advances in medical and surgical palliations, >90% of children born with congenital heart disease (CHD) are expected to survive into adulthood.1 2 Recent studies estimate a prevalence of CHD in the adult population of approximately 3000 per million individuals in developed countries.2 Although survival has improved significantly, patients with adult congenital heart disease (ACHD) often suffer from heart failure (HF) due to residual haemodynamic or anatomic abnormalities and sequelae of their defects or surgeries. HF is unfortunately the leading cause of death in patients with ACHD and accounts for approximately 20% of deaths in this population.3 Congenital heart defects vary widely in their complexity and prognosis. For example, patients with an isolated ventricular septal defect (VSD) may not require any intervention if the defect closes spontaneously or is very small, may develop HF and require catheter-based or surgical closure in early infancy if the defect is moderate or large, or may develop severe pulmonary hypertension and Eisenmenger syndrome if the defect is large and uncorrected. Care of the patient with ACHD thus requires knowledge of the spectrum of congenital diagnoses, interventions and both natural and postintervention histories of the diagnoses. Patients with ACHD with HF often evade early detection and care. Some patients may have gaps in knowledge about their conditions,4 and many have …
Characterization of Fusarium Head Blight Resistance in Wheat

ND2710 is a hard red spring wheat line with a very high level of resistance to Fusarium head blight (FHB). It was selected from the progeny of a cross between ND2603 (an advanced breeding line derived from the Sumai 3/Wheaton cross) and Grandin (a spring wheat cultivar). The FHB resistance of ND2710 is presumably derived from Sumai 3 since the other parents Grandin and Wheaton are very susceptible to FHB. To identify and map the quantitative trait loci (QTL) for FHB resistance in ND2710, we developed a mapping population consisting of 233 recombinant inbred lines (RILs) from the cross between ND2710 and the spring wheat cultivar ‘Bobwhite’. These RILs along with their parents and checks were evaluated for reactions to FHB in three greenhouse experiments and one field experiment during 2013 to 2014. The population was also genotyped with the wheat 90K SNP iSelect assay, and a genetic linkage map was developed with 1373 non-co-segregating SNP markers, which were distributed on 19 of the 21 wheat chromosomes spanning 914.98 cM of genetic distance. Genetic analyses using both phenotype and genotype data identified one major QTL (Qfhb.ndwp-3B) on chromosome 3BS, explaining up to 20% of the phenotypic variation in all experiments, and minor QTL (Qfhb.ndwp-6B, Qfhb.ndwp-2A, and Qfhb.ndwp-6A) on 6B, 2A, and 6A, respectively, explaining 5 to 12% phenotypic variation in at least two experiments, except for Qfhb.ndwp-2A, which was only detected in the field experiment. Qfhb.ndwp-3B and Qfhb.ndwp-6B were mapped to the genomic regions containing Fhb1 and Fhb2, respectively, confirming that they were originated from Sumai 3. The additive effect of the major and minor QTL may contribute to the high level
Multi-source Intermodulation in a Loaded-line Phase Shifter

This paper reports on multi-source intermodulation (IM) in a tunable loaded-line true-time delay phase shifter. It is demonstrated that IM products in the distributed structure sum up constructively or destructively to form IM maxima or minima. In particular, it is demonstrated that backward IM products can be minimized with an odd number of unit cells. The reported results are useful both for understanding how to minimize backward IM in a phased-array antenna system and to understand distributed passive intermodulation (PIM) in guided wave structures.
Adaptive Market Hypothesis and Artificial Neural Networks: Evidence from Pakistan

The debate covering stock return predictability is now shifted towards the investigation of changing patterns of return predictability as suggested by the adaptive market hypothesis (AMH). The present article inspects the varying return predictability pertaining to the equity market in Pakistan under AMH framework. A nonlinear autoregressive neural network (NARNN) model is employed to investigate the nonlinear dependency of returns over a period of eighteen years. NARNN is a robust and flexible technique that is free from any restrictive assumptions. Under a rolling window framework, the repeating patterns of predictability and unpredictability are observed. This finding confirms the idea of AMH.
High-Accuracy 3D SAW RFID Tag Localization Using a Multi-Antenna Mobile Robot Based Synthetic Aperture Approach

Asset localization for inventory and management applications can benefit from the characteristics of surface acoustic wave (SAW) radio frequency identification (RFID), adding valuable information in Industrial Internet of Things (IIoT) ecosystems. An innovative approach using this technology combined with a multi-channel interrogation hardware integrated on a mobile robot platform under indoor conditions is studied in this work. With this novel system advance, SAW RFID tags can be localized in three dimensions within centimeter accuracy. The system concept and algorithms are described in detail in this paper. Furthermore, the performance in terms of localization accuracy is evaluated theoretically and experimentally and a root mean square error of 1.6 cm is achieved.
QUALITY OF SPORTING EVENTS: VALIDATION OF THE EVENTQUAL SCALE

Ferran CalabuigMoreno Department of Physical Education and Sports University of Valencia Gascó Oliag, 3 46010, Valencia Spain Tel. : +34 963 983 707 E-mail: ferran.calabuig@uv.es Josep Crespo-Hervas Department of Physical Education and Sports University of Valencia Gascó Oliag, 3 46010, Valencia Spain Tel. : +34 963 864 361 E-mail: josep.crespo@uv.es Vicente Prado-Gasco Faculty of Psychology European University of Valencia Edificio E Aragón, Av. , 30 46021 Valencia Spain Tel. : +34 902 930 937 E-mail: vicentejavier.prado@uem.es
Financial Managerial Skills of Head and Accelerated Secondary Schools Performance in District Sahiwal

Financial management is preparing, directing and managing the monetary activities of an institution and it has become necessary for the educational managers to have good financial management skills. The objectives of the study were; 1) To explore the heads financial managerial skills at secondary school level 2) To find out the effect of heads financial managerial skills in accelerating secondary school performance. The study was descriptive in nature. All the heads of secondary schools comprised the population in district Sahiwal. Researchers selected 110 headteachers from secondary schools through a simple random sampling technique. A questionnaire was used as a research tool for the study and researchers visited the respondents personally and the target of 100% data collection successfully achieved. The study concluded that due to heads teachers financial management skills the overall performance of school has been improved including students attendance, teachers attendance, results of different classes and drop out of the students.
Automated recognition of construction workers’ activities for productivity measurement using wearable insole pressure system

Continuous monitoring and automated recognition of activities performed by construction workers can help improve productivity measurements. However, manual methods are time-consuming and prone to errors; as such, they usually provide unreliable and inaccurate analyses. Therefore, an automated method can expedite the process of data collection and provide accurate analyses of activity recognition and productivity measurements. In this paper, a novel methodology is introduced to automatically recognize workers’ activities for evaluating productivity measurement based on foot plantar pressure distribution data measured by a wearable insole pressure system. Four supervised machine learning classifiers (i.e., artificial neural network (ANN), decision tree (DT), K-nearest neighbor (KNN), and support vector machine (SVM)) were used for classification performance using a 0.32s window size. Cross-validation results showed that the SVM classifier (i.e., the best classifier) obtained a classification performance with an accuracy of more than 94% and sensitivity of each category of activities was above 95% using a sliding window size of 0.32s. The findings from this preliminary study have shown great potentials to use a wearable insole pressure system to collect foot plantar pressure distribution data for automated recognition of workers’ activities and extract activity durations for evaluating productivity.
Tiempos necesarios para el establecimiento de equilibrio térmico en el procesamiento de castaña: Una Aplicación de Análisis de Fourier y Problemas de Contorno

Resumen: El tratamiento industrial de castaña requiere de una forma práctica y rápida de poder determinar el tiempo requerido para que el centro de la castaña alcance la temperatura de la superficie, es decir el tiempo requerido para el establecimiento del equilibrio térmico en el procesamiento. A este efecto se realiza la simulación del proceso de calentamiento adoptando una simetría esférica y radios equivalentes. Las soluciones de las ecuaciones diferenciales en derivadas parciales (EDP) que describen el proceso son evaluadas en el centro de la castaña e impuesta la condición correspondiente al equilibrio térmico. Las ecuaciones trascendentes resultantes son evaluadas mediante técnicas numéricas obteniéndose valores del grupo adimensional (Foeq) que cumplen las condiciones impuestas y permiten determinar el tiempo requerido para el establecimiento del equilibrio para diferentes tamaños de castaña.
Analysis of Long Period Gratings Inscribed by CO2 Laser Irradiation and Estimation of the Refractive Index Modulation

Long period gratings (LPGs) inscribed in single mode fibers (SMFs) using CO2 laser irradiation were modelled numerically using the coupled mode method. The model considers the specifications of the inscription technique, such as the shape of the refractive index modulation that mimics the circularly symmetric point-to-point laser irradiation profile. A simple expression for predicting the resonant wavelength was obtained assuming a two-mode coupling model. However, to explain the spectra of the experimental LPGs, it was necessary to assume a reasonably high refractive index change and a multimode coupling model. Furthermore, using the developed model and a genetic algorithm to fit experimental resonances to simulated ones, we were able to estimate the maximum refractive index change, obtaining a value of 2.2 × 10−3, confirming the high refractive index change. The proposed model also predicts a second order resonance for this high value of refractive index change that was confirmed experimentally. Hence, with this model, we found some significant differences in the LPGs behavior when compared with conventional ones, namely, the emergence of coupling between different cladding modes and the competition of first and second order resonances which change the LPG transmission spectrum.
Method of Stopband Expansion for Pseudocombline Bandpass Filters

This report proposes a new method for expanding the stopband of pseudocombline bandpass filters (BPF). This BPF contains resonators from segments of half-wave transmission lines, both ends of which are open. Half-wave (λ/2) resonators are parallel to each other without mutual offset. This BPF design is compact enough, and the absence of short-circuited ends provides some advantage. The disadvantage of such BPF is a lot of spurious passbands and not wide enough stopband located between the main bandpass and first spurious bandpass. The proposed method is based on the features of the input functions of half-wave resonators for various coordinates of connection to these resonators. To obtain a wide stopband, spurious passbands associated with higher (parasitic) resonant frequencies 2f0, 3f0, 4f0, etc. are consistently eliminated. To do this, the resonators are connected to each other at special points located at a certain distance from the open ends of the resonators. Using the suggested method it is possible to suppress a considerable number of parasitic passbands in a pseudocombline BPF with half-wave resonators, and to make the stopband wide enough. In the report the pseudocombline filter with capacitive couplings between resonators, and also between end resonators and load is designed. However, the proposed method allows using other couplings between resonators. Computer simulation of frequency response from the Microwave Office is provided. It is established that the ratio R of the resonant frequency of the first unsuppressed (parasitic) passband to the resonant frequency of the main passband increases with an increase in the order n of symmetric BPF. The method is quite simply implemented in microstrip filters.
A Dual-band Filtering Dielectric Resonator Antenna

In this paper, a novel dual-band filtering dielectric resonator antenna (FDRA) is proposed. It is fed by a microstripcoupled slot from bottom, with an open stub of the microstrip feedline elaborately designed to provide a radiation null, and two pairs of the "┥" shaped slotlines are introduced on the coupling slot to generate two radiation nulls at band edges and obtain filtering characteristic. In this design, two resonant modes are excited to provide two operating bands at 3.5 and 5.06 GHz, respectively. Lower operating band is caused by dielectric resonator (DR), while higher operating band is achieved by the slotlines. Consequently, a dual-band FDRA without involving extra filtering circuits is obtained and simulated. The simulated results show that the peak gains are 5.5 and 6.75 dBi, and the out-of-band suppression level is about 20 dB.
Rational Pricing of Fruit-Harvesting Robots

A methodology for evaluating the economic efficiency of fruit harvesting robots and rational pricing for such robots, so that they would be in demand by horticulturists, is presented. It is shown that the main obstacle to the broad implementation of robotic technology for fruit crop harvesting is the overpricing of existing fruit-picking robot prototypes.
Heart Rate Variability for Predicting Coronary Heart Disease using Photoplethysmography

Today, Coronary heart diseases (CHD) are discovered to be one of the main sources of death around the world. In that context, doctors and wellbeing experts urge on early identification and diagnosis of likely manifestations to guarantee the equivocation of an all-out heart-related illness. Photoplethysmography (PPG) is a discrete, ocular method that screens the peripheral blood vessels at various locations and identifies the fluctuations in blood volume. It is a most requisite technique as it can be embedded into wearable devices unlike ECG and other traditional techniques it helps us keep track of health through this method is beneficial for continuous monitoring and recording of BPM the major hurdle is to denoise the signal acquainted as all the studies and researches are done on PPG assume the signal to be ideal. Hence preprocessing is creating a great hindrance for further research and improvement of PPG in the field of medical science. This paper presents a novel technique with a ruff preprocessing method (8 filters) and diverge at a conclusion that Chebyshev type-2 nullifies and filters the PPG signal collected in a conventional environment.