Miracle-dz/UniFAR-FTUs huggingface dataset:
Violent Radicalization in Europe: What We Know and What We Do Not Know

When, why, and how do people living in a democracy become radicalized to the point of being willing to use or directly support the use of terrorist violence against fellow citizens? This question has been at the center of academic and public debate over the past years as terrorist attacks and foiled plots inspired by militant Islamism have grabbed European and American headlines. This article identifies and discusses empirical studies of radicalization and points to the strengths as well as the weaknesses characterizing these studies. The aim is to take stock of the current state of research within this field and to answer the question: From an empirical point of view, what is known and what is not known about radicalization connected to militant Islamism in Europe?
Predictive monitoring of production line efficiency

The paper deals with analysis of production line performance efficiency and builds a prediction model that enables a short-term prediction of the expected performance based on the scheduled product mix. The model was built on the basis of production line structure and domain expert knowledge about the production process. The actual schedule can be used as the model input to assist the production operators at the online production management. An additional analysis of historical data was performed to obtain an insight into performance limiting factors. Besides the online operational management support the model can be used to experimentally evaluate the effect of different scheduling strategies by linking the performance model to a discrete event simulator.
Identification and Analysis of Genes Involved in Double Fertilization in Rice

Double fertilization is a key determinant of grain yield, and the failure of fertilization during hybridization is one important reason for reproductive isolation. Therefore, fertilization has a very important role in the production of high-yield and well-quality hybrid of rice. Here, we used RNA sequencing technology to study the change of the transcriptome during double fertilization with the help of the mutant fertilization barrier (feb) that failed to finish fertilization process and led to seed abortion. The results showed that 1669 genes were related to the guided growth of pollen tubes, 332 genes were involved in the recognition and fusion of the male–female gametes, and 430 genes were associated with zygote formation and early free endosperm nuclear division. Among them, the genes related to carbohydrate metabolism; signal transduction pathways were enriched in the guided growth of pollen tubes, the genes involved in the photosynthesis; fatty acid synthesis pathways were activated by the recognition and fusion of the male–female gametes; and the cell cycle-related genes might play an essential role in zygote formation and early endosperm nuclear division. Furthermore, among the 1669 pollen tube-related genes, it was found that 7 arabinogalactan proteins (AGPs), 1 cysteine-rich peptide (CRP), and 15 receptor-like kinases (RLKs) were specifically expressed in anther, while 2 AGPs, 7 CRPs, and 5 RLKs in pistil, showing obvious unequal distribution which implied they might play different roles in anther and pistil during fertilization. These studies laid a solid foundation for revealing double fertilization mechanism of rice and for the follow-up investigation.
Anthropometric Parameters and Mediterranean Diet Adherence in Preschool Children in Split-Dalmatia County, Croatia—Are They Related?

Obesity is a rapidly growing problem in European countries, Croatia being among them. According to the latest CroCOSI data, every third child in Croatia aged 8.0–8.9 years is overweight or obese. The Mediterranean diet (MeDi) and its impact on nutritional status and health has been the focus of recent research. Therefore, the aim of this cross-sectional, observational study was to determine the nutritional status and adherence to the MeDi of preschool children in Split, Croatia. We included 598 preschool children aged 3 to 7 years and, for each child, parents completed a lifestyle questionnaire and the Mediterranean Diet Quality Index (KIDMED) in order to assess adherence to the MeDi. The anthropometric assessment included the measurement of weight, height, mid-upper arm circumference (MUAC), waist circumference (WC) and the z-score was calculated. According to the z-score, 420 (70.2%) children had a healthy body weight with 54 (9%) underweight and 124 (20.8%) overweight or obese children. Almost half (49%) of the study participants had a low KIDMED index score, indicating a low MeDi adherence, 37% had an average score, while only 14% had high MeDi compliance. Statistically significant negative correlations between MUAC and WC and the consumption of a second daily serving of fruit (p = 0.04) as well as a daily serving of vegetables (p = 0.03) were found. In conclusion, low compliance to the MeDi principles in preschool children is concerning. Considering the beneficial effects of the MeDi on overall health, further education, and the adoption of healthy eating habits in preschool children in this Mediterranean region are required.
Travel time prediction for urban arterial road

Based on the relative relationship of the traffic volume of segments on the urban road network, we studied the optimal space distribution of detectors with statistic analysis techniques. Then we proposed the criteria of installing detectors on the urban roads, on the other hand, we predicted and checked out the non-detectors segment travel time using neural network technique of mix-structure algorithm with the data of the road network of Changchun City, China. The research gives a way to solve the optimal space distribution of detectors on urban arterial road and non-detected segment travel time prediction with detected segment traffic information.
A Review on the Types, Risk Factors, Diagnosis, and Treatment of Cerebral Palsy

Introduction: Aim and objective: The purpose of this review is to inform the persons who are working on rehabilitation services, doctors, and well-wishers of disabled children to reduce their problems by diagnosing the type of CP and by using suitable bioactive molecules, antioxidants, chemicals, and different therapies. Materials and methods: Eligible articles of various journals which are obtained from the Internet were studied very carefully to establish the results of types, risk factors, diagnosis, and the management of CP. Results: Total 76 reviews or research-based journal articles were reviewed. Among them, 28 were correlated with diagnosis, 7 were related with risk factors, 6 were associated with diagnosis, 20 were linked with the prevention, and the rest 15 articles were connected with the introductory part of CP. Conclusion: The findings of this article emphasize describing the types, risk factors, types, correct diagnosis methods, and treatment processes of CP.
Continuous Variable Transmission With an Inertia-Regulating System

This article describes a power transmission system applicable to vehicles. It consists of an oscillating, ratcheting-type, continuously variable transmission (CVT) system governed by an inertia mechanism. The inertia-regulating mechanism adds an additional degree of freedom and gives the system a dynamic character. The transmission consists of three different subsystems. The first of these converts the rotation of the engine or motor into an oscillating angular velocity movement and regulates the amplitude of this movement. The oscillating rotation from the first subsystem is used to drive a second subsystem, which acts as a regulating device by means of an inertial mechanism. The oscillating movement at the output of the second subsystem is rectified in the third, resulting in a unidirectional angular velocity. As a result, a unidirectional torque is generated at the output of the CVT, commensurate with the operating condition of the transmission, and this is capable of overcoming a torque resistance. A prototype of this transmission was built and tested to check the experimental results against those predicted by a series of computational simulations. As a result, the experimental graphs that characterize the operation of this type of transmission system were obtained, demonstrating its ability to function in an efficient manner.
Voltage and current harmonic content of a utility system-a summary of 1120 test measurements

The results of a two-phase project regarding measurements of both voltage and current harmonics at numerous locations within a utility system are summarized. The voltage and current harmonics were measured, stored, and plotted at various substations during each phase of the project using a dynamic signal analyzer, a multipen plotter, and other data acquisition systems. This resulted in a total of 1120 measurements. Also, 24 h measurements were made at some locations to obtain time-of-day variations of the harmonic pattern. Various tables are presented to facilitate analysis of data and comparison of the voltage and current harmonics for multigrounded and unigrounded distribution systems and associated transmission lines. >
PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability

Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes a piecewise-linearly-approximated and unbiased floating-point approximate multiplier with run-time configurability. We provide a theoretically sound formulation that turns multiplication approximation to an optimization problem. With the formulation and findings, a multi-level architecture is proposed to easily incorporate run-time configurability and module execution parallelism. Finally, the proposed multiplier is further optimized to reduce the circuit implementation complexity, making the multiplier linearly dependent on the precision requirement, instead of quadratically or exponentially as in prior work. When compared to the prior state-of-the-art approximate floating-point multiplier, ApproxLP M. Imani et al, “ApproxLP: Approximate multiplication with linearization and iterative error control,” in Proc. ACM/IEEE Des. Autom. Conf. , 2019, pp. 1–6. , the proposed multiplier outperforms in all the aspects including accuracy, area, and delay. By replacing a full-precision floating-point multiplier in GPU, the proposed design can improve the energy efficiency for various edge computing tasks. Even with Level 1 approximation, the proposed multiplier improves energy efficiency up to 20× for machine learning on CIFAR-10, with almost negligible accuracy loss.
Selfish node Detection Based on Fuzzy Logic and Harris Hawks Optimization Algorithm in IoT Networks

The Internet of things describes a network of physical things for example, “things” that are connected with the sensors, software, and other technologies to connect and exchange data with other devices and systems via the Internet. In this type of network, the nodes communicate with each other because of the low radio range by step by step with the help of each other until they reach their destination, but there are nodes in the network that do not cooperate with other nodes in the network, which are called “selfish nodes”. In this paper, we try to detect selfish nodes based on a hybrid approach to increase the performance of our network. The proposed method consists of three stages: in the first stage, with the help of the Harris hawk operation, we try to set up the cluster and select head cluster; in the second stage, the sink investigates the existence or nonexistence of selfish nodes in the network by considering the general parameters of the network; and in the event of a selfish node in the network, it informs the head clusters to check the cluster members and recognize the selfish node. In the third stage, with the help of fuzzy logic, the amount of reputation of each of the nodes has been realized, and finally, with the help of fusion of head clusters and fuzzy logic, each node is decided to be cooperate or selfish nodes, and in case of head clusters and fuzzy logic in some cases, the opportunity node will be reestablished to participate in network activities otherwise the node will be isolated. The results show that the accuracy of selfish node detection has increased by an average of 12% and the false positive rate is 8% in comparison to existing methods.
Preparation of fat substitute based on the high-methoxyl pectin of citrus and application in moon-cake skin

The high-methoxyl pectin of citrus was used to prepare a fat substitute and applied to the processing technology of moon-cake skin. The physical, chemical, and sensory properties of fat substitutes and prepared moon-cake skins were studied by selecting texture properties, rheological properties, water distribution, and water-holding capacity. Results showed that the gel hardness of glucan–sucrose (G-SG) (glucan/sucrose = 4:6) as synergistic gel was 6.23 ± 0.10 N, the elasticity was 3.97 ± 0.03 mm, the adhesive viscosity was 4.87 ± 0.20 N, the chewiness was 16.87 ± 0.51 mj, the water-holding capacity was 98.33%, and the gel obtained from sucrose (SG) as gelation agent had no significant difference (P > 0.05). The consistency coefficient and thixotropic circle area of G-SG was larger than that of SG. Through dynamic viscoelastic scanning, we found that the tanδ of G-SG was smaller, and it had stronger hydrophobic interaction and stronger fluid properties after high-speed shear. It also more easily maintained a flow state similar to oil. G-SG was further applied to the processing technology of low-fat moon-cake skin. The color of the prepared low-fat moon-cake skin darkened, the water-holding capacity was enhanced, the fat content decreased from 22.21% ± 0.54% to 14.07% ± 0.57%, the oil droplets enlarged, and flocculation strengthened. Results of texture-characteristic and sensory-score analyses showed no significant difference (P > 0.05) from the control group when the oil substitution amount was 40%. At this time, the total sensory score was 41.71 ± 2.02.
General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs

Using field-programmable gate arrays (FPGAs) for software and hardware verification and development is a standard step in the digital application-specific integrated circuits (ASICs) design flow. However, asynchronous FPGAs are not available on the market and commercially available FPGAs provide support only for synchronous circuits. Although a lot of research effort has been undertaken in order to use synchronous FPGA to map asynchronous circuits, proposed solutions are typically lacking automation and target-specific circuit style and sometimes specific FPGA vendor. In this work, we present an automated solution for asynchronous circuits mapping onto the synchronous FPGAs. We build a synchronous model of the original asynchronous circuit based on the event-driven simulation concepts. The proposed approach supports a wide range of circuit styles, including those with various timing assumptions and complex circuitry structures incompatible with the standard synchronous flow. We avoid using vendor-specific features so that the model we generate can be implemented on any commercially available FPGA. We provide an extensive evaluation of our solution and demonstrate that our approach results in a speedup factor of $1.3\times 10^{5}$ against an asynchronous circuit simulator, $2.8\times 10^{4}$ against commercial digital simulators, and is 16.5 times slower than the expected performance of the original asynchronous circuit implemented as an ASIC.
DFIG-Based Wind Farms and Their Performance with Thermal Connected Grid

The increasing wide spread use of wind generation on the power networks imposes the requirement that the wind farms should be able to contribute to the network support and operation as do conventional thermal generation stations based on synchronous generators. In this connection, this paper proposed a test system consisting of 120 KV grid connected to a thermal plant and three Doubly-Fed Induction Generator (DFIG) - based wind farms. The modeling of the system is implemented on MATLAB/SIMULINK platform. An efficient pi controller scheme is used for the DFIG system for maintaining the desired active power and reactive power. The responses of the total system under healthy and faulty conditions are addressed. The obtained results are presented to exhibit the effectiveness of the controller and validate the performance of the grid interconnected test system.
Genome-Wide Identification and Functional Characterization of GATA Transcription Factor Gene Family in Alternaria alternata

In the present study, we identified six GATA transcription factors (AaAreA, AaAreB, AaLreA, AaLreB, AaNsdD, and AaSreA) and characterized their functions in response to environmental stress and virulence in the tangerine pathotype of Alternaria alternata. The targeted gene knockout of each of the GATA-coding genes decreased the growth to varying degrees. The mutation of AaAreA, AaAreB, AaLreB, or AaNsdD decreased the conidiation. All the GATA transcription factors were found to be required for tolerance to cumyl hydroperoxide and tert-butyl-hydroperoxide (oxidants) and Congo red (a cell-wall-destructing agent). Pathogenicity assays assessed on detached citrus leaves revealed that mutations of AaAreA, AaLreA, AaLreB, or AaNsdD significantly decreased the fungal virulence. A comparative transcriptome analysis between the ∆AreA mutant and the wild-type strain revealed that the inactivation of AaAreA led to alterations in the expression of genes involved in a number of biological processes, including oxidoreductase activity, amino acid metabolism, and secondary metabolite biogenesis. Taken together, our findings revealed that GATA-coding genes play diverse roles in response to environmental stress and are important regulators involved in fungal development, conidiation, ROS detoxification, as well as pathogenesis. This study, for the first time, systemically underlines the critical role of GATA transcription factors in response to environmental stress and virulence in A. alternata.
Role of Receptors in Relation to Plaques and Tangles in Alzheimer’s Disease Pathology

Despite the identification of Aβ plaques and NFTs as biomarkers for Alzheimer’s disease (AD) pathology, therapeutic interventions remain elusive, with neither an absolute prophylactic nor a curative medication available to impede the progression of AD presently available. Current approaches focus on symptomatic treatments to maintain AD patients’ mental stability and behavioral symptoms by decreasing neuronal degeneration; however, the complexity of AD pathology requires a wide range of therapeutic approaches for both preventive and curative treatments. In this regard, this review summarizes the role of receptors as a potential target for treating AD and focuses on the path of major receptors which are responsible for AD progression. This review gives an overall idea centering on major receptors, their agonist and antagonist and future prospects of viral mimicry in AD pathology. This article aims to provide researchers and developers a comprehensive idea about the different receptors involved in AD pathogenesis that may lead to finding a new therapeutic strategy to treat AD.
Risk Analysis in Mobile Application Development

With constantly evolving mobile platforms & associated opportunities, numerous developers have entered the domain of mobile application development, leading to spaghetti code and various defects. This paper focuses on evolving area of risk analysis w.r. t. software engineering, provides insight in development of applications for mobile devices, and deals with issues related to associated risks. The paper also describes the different environments in which a mobile application operates, factors which affect its performance and best practices for mobile application development.
Multiobjective Optimum Design of a Symmetric Parallel Schönflies-Motion Generator

The multiobjective optimization of a four-degree-of-freedom symmetric parallel manipulator for Schonflies-motion generation is the subject of this paper. First, the inverse positioning problem is discussed, along with its velocity analysis. The workspace is then analyzed, thereby deriving a closed-form expression of the workspace volume, which depends on the orientation of the moving platform. Next, the isotropic design of the manipulator is obtained. Then, the dexterity analysis of the manipulator is conducted, which is one objective of the optimum design of the manipulator, a second objective being a normalized workspace volume. Finally, the results of the optimization process are reported in terms of a set of Pareto-optimum pairs of the design parameters.
High Resolution Ultrasound of Fillers and Their Implications in Aesthetic Medicine: A Study in Human Cadavers

The use of fillers for cosmetic or therapeutic purposes is very common and it’s increasing daily. Although it’s true that in most cases the results are as expected, the use of these substances is not free from the development of complications, even when it’s performed by highly trained medical physicians. On the other hand, these substances can be used indiscriminately by untrained personnel leading to a serious public health complication known as iatrogenic allogenosis, which leads to problems related to malpractice. Most of the time, professionals are consulted for a second opinion regarding the use of these substances, because use of these substances might be unknown due to the patients denying or forgetting the use of these. The presence of a previous unknown filler in aesthetic areas that require treatment may trigger severe or irreversible reactions, especially if non-absorbable fillers were injected. High resolution ultrasound is an extremely useful diagnostic tool for the identification of fillers. In this paper we will describe the ultrasound appearance of hyaluronic acid, calcium hydroxyapatite, liquid silicone, silicone oil, biopolymers, and Polymethylmethacrylate (PPMA) and then we compare it with it’s reported appearance in previous studies. The injection of the substances was carried out in human cadavers with the intention of gathering ultrasound images as similar to the imaging behavior of these substances in vivo. The obtained images can be used as precise references in the ultrasound evaluation, diagnosis, follow-up and behavior of the filler materials in the benefit of a comprehensive approach in the management of patients.