Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple procedure to evaluate singularity free expressions for radiation patterns of an antenna with rectilinear symmetry

Abstract An efficient, simple technique is demonstrated here to find a singularity free analytic solution for the far-field radiation patterns of an antenna with rectilinear symmetry. Closed form singularity free expressions are given for the rectangular slot antenna, rectangular microstrip antenna, rectangular dielectric resonator antenna, equilateral triangular microstrip antenna (ETMA) and TMAs. Theoretical results are verified with measured data as found in the published literature. It is found that one can easily avoid singularities and complex mathematical calculations for the far-field radiation patterns by applying this novel technique. This procedure is also applied here to evaluate certain types of complex integrals which are essential to evaluate conductor loss and stored energy within a cavity, waveguide and antenna. Typical results are shown for ETMA where 18 numbers of integrals are replaced by a single integration. Theoretical results are verified by numerical integration using the inbuilt function of MATLAB®. Therefore, it is concluded that this novel technique can efficiently be utilized (i) to give singularity free expressions for the far-field radiation patterns (ii) to reduce unnecessary, time consuming mathematical processing (iii) to provide a much more efficient analysis than these offered by the commercial numerical simulator.
Towards Zero-Shot Multi-Speaker Multi-Accent Text-to-Speech Synthesis

This letter presents a framework towards multi-accent neural text-to-speech synthesis for zero-shot multi-speaker, which employs an encoder-decoder architecture and an accent classifier to control the pronunciation variation from the encoder. The encoder and decoder are pre-trained on a large-scale multi-speaker corpus. The accent-informed encoder outputs are taken by the attention-based decoder to generate accented prosody. This framework allows for fine-tuning with limited training data from multiple accents, and is able to generate accented speech for unseen speakers. Both objective and subjective evaluations confirm the effectiveness of the proposed framework.
An online game-based intervention using quizzes to improve nutrition and physical activity outcomes among university students

Background: Adopting healthy weight-related behaviours in emerging adulthood has long-term health benefits. Digital interventions using game-elements have the potential to improve diet and physical activity outcomes. Universities are influential settings in shifting emerging adults’ behaviour and can deliver health-promoting interventions to young adults. Objectives: To investigate the effect of an online intervention using quiz-games on nutrition knowledge, diet quality, physical activity and sitting time in a sample of university students. Design: Randomised, single-blind, controlled trial. Setting: Two UK Universities including a total of 88 students from different faculties. Method: The intervention group (n = 50) had access to 10 quiz-games and a website for 10 weeks. The control group (n = 38) received no such resources. Main outcomes were nutrition knowledge, diet quality, physical activity and sitting time assessed by self-administered questionnaires. Frequency and performance of the quiz-games played, and the effect of time (days) on performance after playing a quiz-game for the second time, were also investigated. Results: No significant differences were found between groups over time in any of the outcomes. The outcomes remained non-significant when engagement rates with the quiz-games were considered. Among the 35 game-players (n = 15 did not play any game), 15 played at least one quiz-game. Frequency of playing a quiz-game by all students ranged from 43 to 17 times, and mean scores (% of correct answers) ranged from 55% to 82%. When repeating a quiz-game within 8 days, the performance (score) was improved while after that point, performance remained the same or decreased. Conclusion: Online game-based interventions can be easily implemented in university settings. However, further research is needed on their design to enhance engagement and identify key factors affecting students’ behaviour to increase their effectiveness.
Outcome of Post Induction Therapy for Acute Myeloid Leukemia in Nanakaly Hospital-Erbil

Background: Acute myeloid leukaemia in adult constitutes 80% of whole acute leukaemia cases; its frequency progressively increases with age. Objective: To evaluation the parameters of AML patients clinically and haematologically in Erbil City. Patients and Methods: A particular analysis of hospital records retrospective study of 29 patients with AML was taken on. The cases were analyzed and achieved at Nanakaly hospital in Erbil city during the years 20021-2022. Diagnosis was established on peripheral blood and bone marrow reports. The myeloid origin confirmation was concerned by cytochemistry, morphological subtyping was concerned according to the (FAB) criteria, biochemical tests, and cluster CDs was done by flowcytometery. Microsoft excel version 2010 and (GraphPad Prism 9.0.) was in employment for carrying out statistical analysis. Results: This study included 18 males and 11 females. Their ages ranged from 5 and 80 years with a mean age of 38.4 years. CD13 and CD33 are most expressed CD markers (75% and 70% respectively). CD22 and TdT lowest expressed CDs (10% and 5% respectively). Depending on the complete remission/Partial remission association, the p-value of platelets was significant (0.0207), CD64 and CD117 showed greater significant (<0.0001, <0.0001 respectively), BM hypercellularity fragments (P=0.0068), trials (P<0.0001), and blast percentage (P=0.0365). Conclusion: CDs and BM results are essential tools in the identification of AML. CD13 and CD33 are the most frequent CDs in this study. Morphologic valuation of BM was statistically significant, cellularity of BM and blast percentage was significantly correlated with post induction response in patients with AML.
Robotic Process Automation ( RPA) in Healthcare

Robotic process automation (RPA), a forthcoming technology revolution, intends to reduce people’s daily workloads by getting rid of tedious and repetitive tasks. The scientiﬁc community is now able to conduct a wide range of new types of study in this area, which opens up a whole new universe of possibilities. Compared to robotics, it is a very different kind of technology. RPA is a rela-tively new and quickly growing sub-ﬁeld of robotics. The healthcare and phar-maceutical industries produce a large amount of data, or what we may refer to as ”medical big data,” making it all the more important to analyse and assess this data when it comes from different sources. The main features would include managing appointments, patient scheduling, managing claims and automating medical claims, Invoice Processing, Healthcare Inventory Management, personalized healthcare, Automation in the contact centre and Management of the Treatment Cycle. The extra feature proposed in this model is the mental
Early vision using distributions

For over thirty years computer vision researchers have been proposing methods for “early vision” tasks such as detecting edges and corners. One key assumption shared by most previous methods is that image neighborhoods are constant in color or intensity, with deviations modeled as noise. Due to computational considerations that encourage the use of small neighborhoods where this assumption holds, these methods remain popular. This research models a neighborhood as a distribution of colors. Our goal is to show that the increase in accuracy of this representation translates into higher-quality results for early vision tasks on difficult, natural images, especially as neighborhood size increases. We emphasize large neighborhoods because small ones often do not contain enough information. We emphasize color because it subsumes greyscale as an image range and because it limits the number of valid models we should consider; using only greyscale images allows assumptions that do not hold for color. We start by developing the compass operator, a color edge detector that computes the orientation of the diameter of a circle that maximizes the distance between two color distributions. This distance is computed by using the earth mover's distance, which finds the minimal amount of work needed to transform one distribution into another. We continue with color corner detection, a generalization of color edge detection in which the two sides no longer have the same size. Extracting corners is more involved than extracting edges because multiple responses to the same corner are not allowed. We show that corners are dependent on edge evidence and, therefore, an edge model is required to confirm the existence of a corner. Finally, we extend blue screen matting, a technique that extracts an object from a constant color background, to backgrounds that are almost arbitrary. Given coarse knowledge of the boundary between two objects, we compute the color distributions on either side of a potential boundary pixel and estimate alpha, the proportion in which a color from each side mixed to form that pixel's color. As a result, a user can more easily move objects from one image to another while maintaining photorealism.
Considerations on the Lift Force

Many authors at criticizing the conventional explanation of aerodynamic lift based on Bernoulli's law commit the same mistake laying within the scope of mechanics and ignoring the effects of viscosity in the generation of forces. Because it is an irreversible process, we affirm that it is not possible to generate lift without increasing entropy. And for an increase of entropy it must be considered the viscosity and vorticity.
Kramers’ turnover phenomenon in the spatial diffusion region

In this paper we have presented the dynamics of a Brownian particle with time-delayed feedback. It clearly suggests that the delayed feedback may introduce a dissipation-like effect. As a result of this a breakdown of the fluctuation–dissipation relation occurs and the system behaves like an open one. Therefore, the stationary distribution deviates from the Boltzmann type. It depends on the damping strength. The probability at the barrier top increases with the enhancement of the damping strength. This is a sharp contrast to closed systems (which obey the fluctuation–dissipation relation) and the usual open systems, where the noise strength does not depend on the damping strength. This special feature motivated us to calculate Kramers’ rate in the presence of the delayed feedback. Our calculation shows that the activation energy decreases with an increase in the damping strength. This peculiarity introduces a noticeable observation. Kramers’ turnover behaviour appears even in the spatial diffusive regime. Thus its origin is quite different from the known Kramers’ turnover, which is a result of an interplay of energy and spatial diffusive regimes. It should be mentioned here that all our theoretical results are well justified by the numerical experiments.
Fractionated Stereotactic Radiotherapy with Helical Tomotherapy for Brain Metastases: A Mono-Institutional Experience

Background: The present study reports on the outcomes of our mono-institutional experience of Helical Tomotherapy (HT)-based SRT for brain metastases. The use of this linac is less frequently reported for this kind of treatment. Methods: This retrospective study displays a series of patients treated with HT-SRT. The eligibility of using SRT for brain metastases was defined by a Karnofsky performance status of >70, a life expectancy of >6 months, and controlled extra-cranial disease; no SRT was allowed in the case of a number of brain metastases larger than 10. All the cases were discussed by a multidisciplinary board. Toxicity assessments were performed based on CTCAE v5.0. Survival endpoints were assessed using the Kaplan–Meier method, and univariate and multivariate analyses were carried out to identify any potential predictive factor for an improved outcome. Results: Sixty-four lesions in 37 patients were treated using HT-SRT with a median total dose of 30 Gy in five fractions. The median follow-up was 7 months, and the 1- and 2-year LC rates were both 92.5%. The IPFS rates were and 56.75% and 51.35%. The OS rates were 54% and 40%. The UA showed better IPFS rates significantly related to male sex (p = 0.049), a BED12 of ≥42 Gy (p = 0.006), and controlled extracranial disease (p = 0.03); in the MA, a favorable trend towards LC (p = 0.11) and higher BED (p = 0.11) schedules maintained a correlation with improved IPFS rates, although statistical significance was not reached. Conclusions: HT-based SRT for brain metastases showed safety and efficacy in our monoinstiutional experience. Higher RT doses showed statistical significance for improved outcomes of LC and OS.
DATA-DRIVEN SCORE TEST OF FIT FOR CLASS OF GARCH MODELS

A data-driven score test of fit for testing the conditional distribution within the class of stationary GARCH(p,q) models is presented. In this paper extension of the complete results obtained by Inglot and Stawiarski in [7], as well as in Stawiarski [15] for the parsimonious GARCH(1,1) case is proposed. The null (composite) hypothesis subject to testing asserts that the innovations distribution, determining the GARCH conditional distribution, belongs to the specified parametric family. Generalized Error Distribution (called also Exponential Power) seems of special practical value.
A Realtime Adaptive Trust Model Based on Artificial Neural Networks for Wireless Sensor Networks

Wireless sensor networks (WSNs) are vulnerable to security attacks due to the unbounded nature of the wireless medium, restricted node resources, and cooperative routing. Standard cryptography and authentication mechanisms help protect against external attacks, but a compromised node can easily bypass them. This work aims to protect WSNs against internal attacks, which are mostly launched from compromised nodes to disrupt the network’s operation and/or reduce its performance. The trust and reputation management framework provides a routing cost function for selecting the best secure next hop. Tuning the trust weights is essential to cope with the constant changes in the network environment, such as the sensor nodes’ behaviours and locations. To allow real-time operation, the proposed framework introduces an artificial neural network (ANN) in each sensor node that automatically adjusts the weights of the considered trust metrics according to the WSN state. A large dataset is generated to train and test the ANN using a multitude of simulated cases. A prototype is developed and tested using the J-Sim simulator to show the performance gain resulting from applying the adaptive trust model. The experimental results showed that the adaptive model has robust performance and has achieved an improved packet delivery ratio with reduced power consumption and reduced average packet loss. The results showed that when sensor nodes were static and malicious nodes were present, the average accuracy was 99.6%, while when they were in motion, it was 88.1%.
Quantum state transfer control based on the optimal measurement

This paper explores the optimal control of quantum state transfer in a two‐dimensional quantum system by a sequence of non‐selective projection measurements. We show that for a given initial state, one can always find the corresponding projection operator that can effectively drive the given initial state to any arbitrary target pure state. An external control field is proposed to compensate the effect of the free evolution of system. Numerical simulations and characteristics analysis are given in three cases: without considering free evolution, considering free evolution, and with the action of external control field. The simulating experimental results show that the optimal measurement control is more effective by using proposed external control field. Copyright © 2016 John Wiley & Sons, Ltd.
Creation of Structured Formatted Database for Alumni Project

: An Alumni club, made up of former students, has been working at several prestig-ious Faculties of the University of Belgrade for a long time. Thanks to the contacts through this organization, as well as the help of former students of these Faculties, a large number of newly graduated students received useful advice first-hand, as well as the possibility of employment in successful companies in the country and abroad. The Academy of Applied Technical Studies Belgrade followed this example and formed Alumni Clubs in its departments and sections. In this way, the Alumni Club started working in the Computer-Mechanical Engineering Section. It took time for students who had graduated a long time ago to sign up for the club, but the response of students is getting bigger and bigger, so the need to create a database and appropriate applications emerged. A database in SQL server is created, after which advanced and automated queries for obtaining relevant data are developed in form of stored procedures. This paper presents two approaches to creating a formatted database in XML language, in order to enable better connection with the most popular programming languages such as Java, ASP.NET, C#, ColdFusion and others. In the first approach, selecting the appropriate button creates an XML document, and in the second approach filling in the text fields in the application, which is developed in the C# programming language, leads to its creation.
Meaning change in a petri dish: constructions, semantic vector spaces, and motion charts

Abstract This paper explores how the visualization tool of motion charts can be used for the analysis of meaning change in linguistic constructions. In previous work, linguistic motion charts have been used to represent diachronic frequency trends and changes in the morphosyntactic behavior of linguistic units. The present paper builds on that work, but it shifts the focus to the study of semantic change. How can motion charts be used to visualize semantic change over time? In order to answer this question, we draw on semantic vector space modeling to visualize aspects of linguistic meaning. As an analogy to this approach, the title of this paper alludes to a petri dish in which the growth and development of biological microorganisms can be observed. On the basis of diachronic corpus data, we monitor developments in the semantic ecology of a construction. This allows us to observe processes such as semantic broadening, semantic narrowing, or semantic shift. We illustrate our approach on the basis of a case study that investigates the diachrony of an English construction that we call the ‘many a NOUN’ construction.
Thin Slices of Initial Group Rapport Predict Social Bonding

Rapport plays a key role in small group interaction, yet there remain gaps in understanding the construct. The current study examined whether initial group rapport among triads of strangers could predict later social bonding and group emotion. Results indicated that initial group rapport reliably predicted subsequent social bonding and emotional experience across multiple measures. These findings support use of global thin slice rapport measures in small groups. Further, they suggest that rapport can be assessed reliably within the first minute of meeting and that ratings of group experience in just this first minute offer valuable insight into subsequent group formation.
When Cannabis sativa L. Turns Purple: Biosynthesis and Accumulation of Anthocyanins

Environmental cues elicit anthocyanin synthesis in plant vegetative and reproductive tissues. Their accumulation in different organs accounts for their diverse biological functions, mainly related to their antioxidant properties, and it depends on a temporally and spatially regulated mechanism controlled by the action of a well-known multi-transcription factor complex. Despite the highly recognizable value of Cannabis sativa L. as a natural biorefinery of phytochemicals, very little information is known on anthocyanin pigmentation in this species. In this work, a targeted quantification of anthocyanins via HPLC-MS/MS, combined with the transcriptional profile via RT-qPCR of genes encoding for structural and decorating enzymes and regulatory transcription factors in different C. sativa tissues, help gain insights into the anthocyanin pathway in this species. To the best of our knowledge, this is the first report on the identification of cyanidin-3-rutinoside (keracyanin) as the major anthocyanin in C. sativa vegetative and floral tissues. Keracyanin amounts were higher than in small berries, suggesting that Cannabis biomass is a valuable source of colored antioxidants to be exploited in diverse applications. Furthermore, a gene putatively encoding for an anthocyanin DTX35 type transporter and CsTTG1 were identified in silico and their transcriptional levels were assessed via RT-qPCR. The results allow us to provide the first model of anthocyanin regulation in C. sativa, opening a new research scenario in this species for both breeding purposes and phytochemical exploitation.
Modelling and stability analysis in human population genetics with selection and mutation

Population genetics is a scientific discipline that has extensively benefitted from mathematical modelling; since the Hardy‐Weinberg law (1908) to date, many mathematical models have been designed to describe the genotype frequencies evolution in a population. Existing models differ in adopted hypothesis on evolutionary forces (such as, for example, mutation, selection, and migration) acting in the population. Mathematical analysis of population genetics models help to understand if the genetic population admits an equilibrium, ie, genotype frequencies that will not change over time. Nevertheless, the existence of an equilibrium is only an aspect of a more complex issue concerning the conditions that would allow or prevent populations to reach the equilibrium. This latter matter, much more complex, has been only partially investigated in population genetics studies. We here propose a new mathematical model to analyse the genotype frequencies distribution in a population over time and under two major evolutionary forces, namely, mutation and selection; the model allows for both infinite and finite populations. In this paper, we present our model and we analyse its convergence properties to the equilibrium genotype frequency; we also derive conditions allowing convergence. Moreover, we show that our model is a generalisation of the Hardy‐Weinberg law and of subsequent models that allow for selection or mutation. Some examples of applications are reported at the end of the paper, and the code that simulates our model is available online at https://www.ding. unisannio.it/persone/docenti/del-vecchio for free use and testing.