Miracle-dz/UniFAR-FTUs huggingface dataset:
Design And Implementation Of Terminal Redirection For Multi-Forth Processors On Chip

Multi-Forth processor on chip is an important idea to solve the practical requirements of processor computing performance and power consumption in current multi-processor system applications. Efficient use of UART serial port resources on chip is the key to improve port reusability, enhance system flexibility and reduce resource occupancy. Based on the inherent characteristics of Forth system and the research of stack processor and the design of on-chip multiprocessor architecture, this paper proposes a method of terminal redirection of on-chip multi-Forth processor by means of terminal interactive input redirection Forth definition, multiplexer and arbiter module, which adopts Forth system and multi-Forth processor architecture technology. Experiments on Xilinx xc6slx9 FPGA show that this method can achieve and meet the requirements of efficient use of on-chip terminal resources by multi-Forth processors.
Speech Enhancement: A Survey of Approaches and Applications

The paper provides a comprehensive overview of speech enhancement techniques and their applications. It discusses challenges in non-stationary noise, reverberation, and overlapping speech. Approaches like comb filtering, LPC-based filtering, and adaptive filtering, HMM filtering, Wiener filtering, ML estimation, Bayesian estimation, MMSE estimation, and transform domain methods, AI-based approaches are explored. The effectiveness and challenges of each approach are discussed. Applications in telecommunications, voice-controlled systems, hearing aids, speech recognition, and audio restoration are highlighted. The paper presents outcomes and advancements in speech enhancement. Valuable insights are provided for researchers, engineers, and practitioners in the field. The findings aid in selecting suitable techniques for improved speech quality and intelligibility.
Secrecy Energy Efficiency Maximization for UAV Relay Communication System under Artificial Noise

In this paper, we investigate the secrecy energy efficiency (SEE) maximization problem for UAV relay communication system with artificial noise. In the presence of eavesdroppers, artificial noise is added to degrade the eavesdropping channel. Through system modeling and problem description, we formulate a secrecy energy efficiency maximization problem with constraints concerning UAV communication scheduling, transmission power allocation and UAV trajectory. The proposed problem is a complex mixed integer non-convex fractional problem. In order to solve this problem, we propose a joint optimization algorithm leveraging well-established Successive Convex Approximation(SCA) and Dinkelbach methods. Subsequently the problem is decomposed into three sub-problems, and each sub-problem is optimized and solved iteratively until convergence. To verify the effectiveness of the scheme, we compare the scheme with the dual-cycle scheme with optimal resource allocation and the scheme of maximal energy efficiency. Numerical results show that compared with benchmark schemes, our proposed algorithm significantly improves the secrecy energy efficiency of the UAV relay system.
Empirical Analysis of Prediction of Crime and Forecasting With IGWO-SVM Approach

In order to understand the nuances of the crime data from recent years, in-depth analysis is necessary. Involved parties in law enforcement will benefit from this procedure in terms of making arrests and guiding efforts to reduce crime. Strategically or tactically, it benefits from having a better understanding of where, when, and how crimes will occur in the future. However, given the rising incidence of crime in the modern world, developing an effective method for predicting future criminal behavior is a difficult issue. As a result, it is crucial to develop a strategy for predicting criminal activity in order to prevent further crimes and lower crime rates. Researchers are currently attempting to predict criminal behavior based on a variety of factors. SVM, CNN and ANN are just few of the prediction approaches that can be used to assess a model's accuracy. Although their studies have yielded encouraging findings, there are still major blind spots that preclude an accurate prediction of crime hubs. There have been many earlier publications of academic papers on this subject. So, the results are compiled and conducted a comprehensive assessment of all of them in this report. Proposed goal is to catalog the various forms the crime prediction method has taken and the ways in which it might be improved in the future. Preprocessing, feature extraction, and model training are the three main components of the proposed method. Preprocessing includes activities including data cleansing, integration, transformation, reduction, and discretization. It uses principal component analysis to glean features. The model is trained with IGWO-SVM. When compared to two existing models, the proposed model performs exceptionally well.
Does “story-making” have the potential to engage prosumers around a higher education institution’s brand? : The case of Aveiro’ University

The transformations in the online environment have raised new challenges to the relationship between brands and their audiences, so it is necessary to explore new communication strategies. One of them is story-making, a technique that has been recently explored by several studies developed in the marketing and communication fields to engage customers around brands. This study draws on some related topics, such as transmedia storytelling, transmedia branding, prosumerism, and engagement, to design a communication campaign using the story-making technique. The objective was to test its applicability to achieve prosumer engagement for the University of Aveiro (UA) brand. The Scientific Design Research (DSR) methodology was followed to create and implement the campaign, which was then validated with experts in the field. The results show that the tested approach was appropriate to the technique and fulfilled the necessary requirements to be considered as a story-making communication campaign. It is also possible to conclude the applicability of the campaign model to the case under study, and its effectiveness as an audience-oriented strategy for the brand, valuing people’s contributions to the process, and getting prosumers involved around the UA brand. An increase in the UA’s use of the story-making strategy on its social media platforms can now be observed and, based on an interview with the University’s manager, it was possible to identify the main benefits that this strategy brings to the brand’s consumer engagement.
PHY Security in MIMOME Keyhole Channels

Physical layer security (PLS) is investigated in a multiple-input multiple-output multiple-antenna eavesdropper keyhole channel over Rayleigh fading. Specifically, the secrecy performance is evaluated by two secrecy performance metrics including the secrecy outage probability (SOP) and average secrecy rate (ASR). By assuming that the transmitter has full channel state information of the main channel, the SOP and ASR are analyzed. To glean further insights, asymptotic analyses are performed to the SOP and ASR by considering an infinite amount of transmit power. It is found that the asymptotic SOP and ASR converge to some constant and the corresponding rate of convergence is determined by the diversity order and array gain.
A new cryptic species of Tylototriton (Amphibia, Caudata, Salamandridae) from mysterious mountain lakes in Manipur, north-eastern India

An integrative taxonomic analysis combining molecular and morphological lines of evidence revealed a new cryptic species in the Tylototriton verrucosus species group from Manipur, north-eastern India. The new species was previously confused with T. hima-layanus and T. verrucosus . Tylototriton zaimeng sp. nov. can be distinguished from its congeners by medium body size, head massive and wide with rounded snout and very wide and protruding supratemporal bony ridges and a well-developed sagittal ridge, short limbs not overlapping when adpressed along body, wide and not segmented vertebral ridge distinct, 13–14 pairs of rib nodules, brown colouration with dull orange to yellowish-brown markings on head, vertebral ridge, rib nodules, palms, soles, vent and ventral tail ridge and by vomerine teeth organised in two distinctly curved bell-shaped series. Phylogenetic analysis of the ND2 and 16S rRNA mtDNA genes confirmed the placement of the new species to the Clade I of the subgenus Tylototriton and suggested it is a sister species of T. panwaensis and T. houi ( p -distance 3.0% in ND2 gene). The range of the new species is restricted to the Khongtheng Mountain Range and is isolated from the range of T. panwaensis and T. houi in northern Myanmar and southern China, respectively. We suggest the new species to be considered as Vulnerable (VU) in the IUCN Red List.
Cost-Effectiveness of Prefusion F Protein-Based Vaccines Against Respiratory Syncytial Virus Disease for Older Adults in the United States

Background. Two prefusion F protein-based vaccines, Arexvy and Abrysvo, have been authorized by the US Food and Drug Administration for protecting older adults against Respiratory Syncytial Virus (RSV)-associated lower respiratory tract illness. We evaluated the health benefits and cost-effectiveness of these vaccines. Methods. We developed a discrete-event simulation model, parameterized with the burden of RSV disease including outpatient care, hospitalization, and death for adults aged 60 years or older in the US. Taking into account the costs associated with these RSV-related outcomes, we calculated the net monetary benefit using quality-adjusted life-years (QALY) gained as a measure of effectiveness, and determined the range of price-per-dose (PPD) for Arexvy and Abrysvo vaccination programs to be cost-effective from a societal perspective. Results. Using a willingness-to-pay of $95,000 per QALY gained, we found that vaccination programs could be cost-effective for a PPD under $120 with Arexvy and $111 with Abrysvo over the first RSV season. Achieving an influenza-like vaccination coverage of 66% for the population of older adults in the US, the budget impact of these programs at the maximum PPD ranged from $5.74 to $6.10 billion. If the benefits of vaccination extend to a second RSV season as reported in clinical trials, we estimated a maximum PPD of $250 for Arexvy and $233 for Abrysvo, with two-year budget impacts of $11.59 and $10.89 billion, respectively. Conclusions. Vaccination of older adults would provide substantial direct health benefits by reducing outcomes associated with RSV-related illness in this population.
Robot Penetration and Task Changes

This paper gauges the impacts of robots on task changes, in particular, identifying which tasks increased or decreased as robot penetration was promoted in Japan between 1980 and 2018 by using three unique datasets: the “Production and Shipments of Manipulators and Robots” produced by the Japan Robot Association; the administrative data of the “Basic Survey on Wage Structure” produced by the Ministry of Health, Labour and Welfare; and numerical indicators of occupational characteristics in the Japanese version of O-net by the Japan Institute of Labour Policy and Training. We first construct an index in which tasks have increased or decreased for each industry by using the Japanese version of five-category task scores a la Acemoglu and Autor (2011), computed from numerical indicators of occupational characteristics and the Basic Survey on Wage Structure. Then, we clarify how this index has been affected by robot stocks by industry, which is calculated from the Production and Shipments of Manipulators and Robots. The estimation result shows that as robot penetration increases, routine-manual tasks decrease while cognitive tasks relatively increase. A rise in robot penetration leads to a relative increase in employment in occupations requiring more different tasks to the occupations where tasks were lost, indicating that the process of robotization in Japan has caused the displacement effect .
Electrical Properties of Double-Gate Field-Effect Transistor Based on MA2N4 (M = Ti, Zr, and Hf; A = Si, Ge, and Sn) Monolayers

The electrical characteristics of a double-gate field-effect transistor (DGFET) based on the MA2N4 family of 2-D monolayers as channel materials are studied. The materials’ key electronic parameters, including effective mass, bandgap, and work function are investigated using density functional theory. Assessment of band structures suggests that MSi2N4 and TiGe2N4 are indirect semiconductors, whereas other compounds demonstrate direct bandgap. The projected density of state is obtained to explore the contribution of M and Z elements to both conduction and valence bands. The quantum transport characteristics of the double gate FET with MA2N4 monolayers have been studied using non-equilibrium Green function (NEGF) formalism. The current–voltage characteristics are obtained, and several essential device parameters of the FET including ON-current, OFF-current, <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio, and sub-threshold swing (SS) are extracted. Few monolayers of this family demonstrated better short channel device characteristics when used as channel materials, including <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}/{I}_{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio <inline-formula> <tex-math notation="LaTeX">$\ge 10^{{8}}$ </tex-math></inline-formula> and a SS of about 60 mV/dec for the channel length down to 5 nm.
Fabry–Perot Interferometric Fiber-Optic Sensor for Rapid and Accurate Thrombus Detection

We present a fiber-optic sensor based on the principles of a Fabry–Perot interferometer (FPI), which promptly, sensitively, and precisely detects blood clot formation. This sensor has two types of sensor tips; the first was crafted by splicing a tapered fiber into a single-mode fiber (SMF), where fine-tuning was achieved by adjusting the tapered diameter and length. The second type is an ultra-compact blood FPI situated on the core of a single-mode fiber. The sensor performance was evaluated via clot-formation-indicating spectrum shifts induced by the varied quantities of a thrombin reagent introduced into the blood. The most remarkable spectral sensitivity of the micro-tip fiber type was approximately 7 nm/μL, with a power sensitivity of 4.1 dB/μL, obtained with a taper fiber diameter and length of 55 and 300 μm, respectively. For the SMF type, spectral sensitivity was observed to be 8.7 nm/μL, with an optical power sensitivity of 0.4 dB/μL. This pioneering fiber-optic thrombosis sensor has the potential for in situ applications, healthcare, medical monitoring, harsh environments, and chemical and biological sensing. The study underscores the scope of optical technology in thrombus detection, establishing a platform for future medical research and application.
Prevalence of fatigue in adolescents and adults with cerebral palsy: a systematic review and meta-analysis

ABSTRACT Background Fatigue is a common problem for adults with cerebral palsy (CP) and may be related to the decline in physical function, including the loss of the ability to walk. Objective To estimate the overall prevalence of fatigue in adolescents and adults with cerebral palsy. Methods MEDLINE (OVID), EMBASE (OVID), CINAHL, PsycINFO, and Web of Science electronic databases were searched in September 2021. The review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO), registration CRD42021275596. Two authors independently screened studies according to Preferred Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the methodological quality of included studies was assessed using the Joanna Briggs Institute (JBI) Prevalence Critical Appraisal Checklist. Results Of the 1022 studies identified, fifteen met the inclusion criteria. Study quality assessment was performed using the Joanna Briggs Institute (JBI) Prevalence Critical Appraisal Checklist, with scores ranging from 4 out of 10 to 10 out of 10. Pooled prevalence estimates for twelve studies were 52.9% (95% confidence interval [CI]40.9–64.6). Fatigue was higher in people with bilateral CP than unilateral CP, and higher in people classified as Gross Motor Function Classification System (GMFCS) levels III-V. Conclusion More than half of the adults with CP (52.9%) reported living with fatigue. Adults with CP frequently reported fatigue that may lead to activity limitations and/or restrictions. Fatigue was strongly correlated with pain, depression, and reduced quality of life. Assessment and appropriate fatigue management techniques are necessary to enhance capacity for everyday functioning and quality of life.
Flavor Physics and Charged Particle

We have new charged particles in many scenarios of physics beyond the Standard Model where these particles are sometimes motivated to explain experimental anomalies. Furthermore, such new charged particles are important target at the collider experiments such as the Large Hadron Collider in searching for a signature of new physics. If these new particles interact with known particles in the Standard Model, they would induce interesting phenomenology of flavor physics in both lepton and quark sectors. Then, we review some candidate of new charged particles and its applications to flavor physics. In particular, vector-like lepton and leptoquarks are discussed for lepton flavor physics and B -meson physics.
Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm

Clustering is a grouping of data used in data mining processing. K-means is one of the popular clustering algorithms, easy to use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid randomly as a reference for processing. Careless selection of centroids can result in poor clustering processes and local optima. One of the improvements in determining the initial centroid on the k-means method is to use the optimization method for determining the initial centroid. The modified Antlion Optimizer (ALO) method is used to improve poor clustering in the initial centroid determination and as an alternative to determining the initial centroid in the k-means method for better clustering results. The results of the research on the use of the proposed method for determining the initial centroid provide an increase in clustering compared to the usual k-means and k-means++ methods. This is evidenced by the evaluation of the Sum of Intra-Cluster distance (SICD) with UCI datasets, namely iris, wine, glass, ecoli and cancer in each method, the best SICD value was obtained in the proposed method. Then measuring the best SICD value for each method and datasets is measured by providing a ranking proving that the proposed method on the iris, wine, cancer datasets gets the first rank and on the ecoli and glass datasets the proposed method and the k-means++ method both get the first rank. From the average ranking value, the proposed method is ranked first which provides evidence that the proposed method can improve clustering results and can be an alternative method for determining the initial center of a cluster using the k-means method.
The Statistical Analysis of the Earthquake Hazard for Turkey by Generalized Linear Models

In this paper, 4863 earthquake data of magnitude 4.0 and greater from 1900 to 2014 are statistically analyzed for the earthquake hazardin Turkey. The magnitude-frequency relationship in earthquake risk analysis is often performed by Gutenberg-Richter (GR) model. With the use of this model, information about earthquake potential of any region can be obtained by previous data and by estimating parameters such as return periods and possibilities of their occurrence. In this study, t he relationship between earthquake numbers and magnitudes is modelled with the Generalized Linear Models (GLMs) as an alternative to Gutenberg-Richter (GR) Model. Generalized Poisson Regression Model (GPR) and Generalized Negative Binomial Regression Models (GNBR) as GLMs are utilized in the study. GPR is found as the best model when considering the dispersion parameters and model selection criteria. Exceeding probabilities and return periods are calculated for the selected years depending on yearly average occurrence number of earthquakes estimated with the GR and GPR models. According to the results, GPR model can be employed for seismic risk modelling in Turkey.
Time evolution of discrete fourth‐order elliptic operators

The evolution equation ∂∂tu=−∂∂x4u+Ax∂∂x2u+A′x∂∂xu−Bxu+f,x∈Ω=0,1,t≥0, is considered. A discrete parabolic methodology is developed, based on a discrete elliptic (fourth‐order) calculus. The main ingredient of this calculus is a discrete biharmonic operator (DBO). In the general case, it is shown that the approximate solutions converge to the continuous one. An “almost optimal” convergence result (O(h4 − ϵ)) is established in the case of constant coefficients, in particular in the pure biharmonic case. Several numerical test cases are presented that not only corroborate the theoretical accuracy result, but also demonstrate high‐order accuracy of the method in nonlinear cases. The nonlinear equations include the well‐studied Kuramoto–Sivashinsky equation. Numerical solutions for this equation are shown to approximate remarkably well the exact solutions. The numerical examples demonstrate the great improvement achieved by using the DBO instead of the standard (five‐point) discrete bilaplacian.
L’hivernage des Tortues Caouannes Caretta caretta (L.) dans le sud Tunisien

Les auteurs ont etudie les niveaux de perturbation demographique de la population mediterraneenne de Caretta caretta par la peche hivernale au chalut de fond dans le Sud tunisien, ainsi que le comportement hivernal jusqu'a present inconnu de cette espece en Mediterranee orientale. A la difference du bassin occidental de la Mediterranee, les echantillons de caouannes capturees en Tunisie en hiver comportent un fort pourcentage d'individus de grande taille (≥ 70 cm SCCL), probablement adultes. Cette technique de peche entraine un taux de mortalite halieutique pratiquement nul. Le TED n'y est donc pas du tout necessaire
Color Conversion of Wide-Color-Gamut Cameras Using Optimal Training Groups

The colorimetric conversion of wide-color-gamut cameras plays an important role in the field of wide-color-gamut displays. However, it is rather difficult for us to establish the conversion models with desired approximation accuracy in the case of wide color gamut. In this paper, we propose using an optimal method to establish the color conversion models that change the RGB space of cameras to the XYZ space of a CIEXYZ system. The method makes use of the Pearson correlation coefficient to evaluate the linear correlation between the RGB values and the XYZ values in a training group so that a training group with optimal linear correlation can be obtained. By using the training group with optimal linear correlation, the color conversion models can be established, and the desired color conversion accuracy can be obtained in the whole color space. In the experiments, the wide-color-gamut sample groups were designed and then divided into different groups according to their hue angles and chromas in the CIE1976L*a*b* space, with the Pearson correlation coefficient being used to evaluate the linearity between RGB and XYZ space. Particularly, two kinds of color conversion models employing polynomial formulas with different terms and a BP artificial neural network (BP-ANN) were trained and tested with the same sample groups. The experimental results show that the color conversion errors (CIE1976L*a*b* color difference) of the polynomial transforms with the training groups divided by hue angles can be decreased efficiently.