Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability Model Based Dynamic Multi-Level Trust Analysis

Trust assessment is of great significance to related issues such as privacy protection and rumor transmission in online social networks. At present, there are mainly two types of trust models: discrete type and continuous, type. Little work has been done on considering distrust and trust at the same time, especially on the propagation mechanism of distrust. To this end, this paper proposes a multilevel trust model and a corresponding trust evaluation method based on a reliability model called multivalued decision diagrams (MDDs). The proposed trust model combines characteristics of both discrete and continuous trust and considers the dynamic changing mechanism of the multilevel trust. The propagation of distrust and conflicts of opinions are also handled. Experimental results show that the proposed method outperforms other existing methods.
Multi-Winner Election Control via Social Influence: Hardness and Algorithms for Restricted Cases

Nowadays, many political campaigns are using social influence in order to convince voters to support/oppose a specific candidate/party. In election control via social influence problem, an attacker tries to find a set of limited influencers to start disseminating a political message in a social network of voters. A voter will change his opinion when he receives and accepts the message. In constructive case, the goal is to maximize the number of votes/winners of a target candidate/party, while in destructive case, the attacker tries to minimize them. Recent works considered the problem in different models and presented some hardness and approximation results. In this work, we consider multi-winner election control through social influence on different graph structures and diffusion models, and our goal is to maximize/minimize the number of winners in our target party. We show that the problem is hard to approximate when voters’ connections form a graph, and the diffusion model is the linear threshold model. We also prove the same result considering an arborescence under independent cascade model. Moreover, we present a dynamic programming algorithm for the cases that the voting system is a variation of straight-party voting, and voters form a tree.
Knowledge as Embodied, Imaginative and Foolish Enactment: Exploring Dementia Experiences through Theater

In this article, we provide an example of a performance-research project to advance understandings of the ways artistic and scientific processes work in conversation. Drawing on the research-informed play Cracked: New Light on Dementia , we consider the interrelationship among cultural narratives (including the perpetuation of oppressive narratives of marginalized people), aesthetic and artistic exploration (sensory and emotional exploration together with dramaturgy and theatricality), and social critique for the purposes of broader social change. By explicating three interrelated "acts" of our process, including preparation , execution and exhibition (THOMPSON, 2015), we share the ways artistic practices were flexibly used to generate new cultural knowledge about the ways we think, feel, and sense about dementia to mobilize social good. With our work we criticize institutional and research structures that deny arts processes the status of "research," as well as challenge traditional modes of knowledge and knowledge production.
Asynchronous hatching in a nonavian species: a test of the hurry-up hypothesis

Lay Summary The hurry-up hypothesis suggests parents should complete reproduction as soon as possible when the quantity or quality of resources declines over time. However, this would come at a cost if it leads to asynchronous hatching that reduces offspring fitness. Here, we present the first test of this hypothesis in a nonavian system. In contrast to what was predicted, we find no evidence that parents complete reproduction sooner under conditions where this would be favorable.
A fully integrated machine learning scan of selection in the chimpanzee genome

Abstract After diverging, each chimpanzee subspecies has been the target of unique selective pressures. Here, we employ a machine learning approach to classify regions as under positive selection or neutrality genome-wide. The regions determined to be under selection reflect the unique demographic and adaptive history of each subspecies. The results indicate that effective population size is important for determining the proportion of the genome under positive selection. The chimpanzee subspecies share signals of selection in genes associated with immunity and gene regulation. With these results, we have created a selection map for each population that can be displayed in a genome browser (www.hsb.upf.edu/chimp_browser). This study is the first to use a detailed demographic history and machine learning to map selection genome-wide in chimpanzee. The chimpanzee selection map will improve our understanding of the impact of selection on closely related subspecies and will empower future studies of chimpanzee.
Fully planar frequency independent square Archimedean spiral antenna with impedance transformer for ground penetrating radars

An ultra‐wideband unidirectional circularly polarized planar self‐complementary and compact Archimedean square spiral antenna is proposed in this paper. Compared to the conventional center‐fed or vertically‐connected coaxial line spiral antennas, the proposed antenna has a completely planar feed structure. The traditional impedance transformer (balun) in the third dimension is moved to the planar plane based on a wideband microstrip line to coplanar stripline transition to realize a completely planar spiral antenna. This impedance transformer is integrated with the spiral antenna to achieve a planar structure and to adapt the impedance into a conventional 50 Ω coaxial cable. The performance of the proposed antenna is simulated and measured. The proposed antenna has a compact size of 90 × 90 × 1.6 mm3 on an FR4 substrate and can yield a large −10 dB impedance bandwidth ranging from 2.14 to 9.8 GHz which is equivalent to a fractional bandwidth of 102.13% with unidirectional radiation patterns. The VSWR is less than two in the operating bandwidth and the axial ratio (AR) is less than 3 dB in the frequency range of 1‐8 GHz. The simulated radiation efficiency ranges between 20% and 80%. The characteristics of the proposed antenna make it suitable for ground‐penetrating radar applications and many others.
Targeting on transitions: Employment Services in the Netherlands

This article provides insight into the shifts and the reorganization of the Dutch regulatory framework of employment services in a bid to promote dynamism in the labor market. The targeting of employment services toward transitions has brought about changes in the regulations for employment agencies and in the rights of their employees. Section II sketches the background and run-up to this process of transformation for employment services like temporary agency work and (public) job placement services. Section III examines the current regulatory framework. The section also touches upon the impact of the regulatory framework on the market for labor market intermediaries and on the chances to reintegrate into the labor market, and contains a report of views held by various actors in the field. Finally, section IV puts forward some conclusions by the author regarding the pioneer role of the Dutch in easing labor market transitions by re-regulating employment services.
An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

Crime analysis represents a great challenge to law enforcement considering that the sources to use for generating intelligence are diverse in content and/or structure. However, in recent years, techniques such as natural language processing, a field of computing, artificial intelligence and linguistics have been developed that allow to study the interactions between computers and human language, and that in turn can be used effectively in the analysis of large amounts of texts and in the subsequent derivation of interesting analytical results. This paper presents a model for analysis of criminal events from online newspapers, identifying the areas with the highest crime rates through the detection and geographical mapping of critical points and the analysis of the nature of the criminal event. The evaluation of the proposed model to estimate the perception of crime in the domain of the proposed communes indicates that it is efficient in categorizing the news and the nature of these (validated by the performance indicators).
Balancing the Varied Needs of Master of Music Education Students: Perceptions From Program Directors and Alumni

The purpose of this study was to examine the perceptions of master of music education degree program directors and alumni from selected schools regarding the ways in which their music education master’s programs balance the varied needs of program participants. Findings are presented in the two broad categories of improvement in P–12 teacher learning and preparation for future scholarly work, and the discussion examines the qualitative comparisons between participant responses. Suggestions for graduate programs and future researchers are included.
Outcomes of surgery for giant cell tumors of the tendon sheath within the hand.

Introduction: Giant cell tumor of the tendon sheath is the most common benign proliferative lesion involving the upper limb, characterized by relatively high recurrence rate after surgery. Aim: The objective of the study was a retrospective analysis of outcomes of the operative treatment of these tumors, in a longterm (a mean of 4,2 year) follow-up. Material and methods: Preoperative examination was performed in 58 patients, 36 females (62%) and 22 males (38%), in a mean age of 41 years, and treatment outcomes were assessed in 47 persons (81% of the operated patients), at a mean of 4.2-year follow-up. The final assessment was performed in a form of phone interview. Results: The most common site of the tumors was the fingers - 42 cases (72%). In 31 patients (53%) the lesion had a well-defined capsule, and in 11 (19%) a satellite nodule was found around the main tumor. A total of 9 relapses (21%) occurred, all within the first 2 years following surgery. Two patients had a next episode of recurrence after the second operation. In 8 out of the 9 patients with a recurrence, the primary lesion did not have a well-defined capsule. In 38 patients who had no relapse, 31 were completely symptom-free, whereas 7 complained of mild pain of the scar and/or numbness of a part of the involved finger. Conclusions: The main factor that impacted the high rate of recurrence was incomplete tumor excision, which resulted from inadequately accurate surgery and the tumor morphology (having no well-defend capsule). The role of operating with the use of magnifying devices and keeping a greater surgical margin at resection of the non-capsulated lesions was emphasized, as it could translate into reducing the recurrence rate.
A new non-negative matrix factorization method to build a recommender system

The main aim of this paper is to apply non-negative matrix factorization to build a recommender system. In a recommender system there are a group of users that rate to a set of items. These ratings can be represented by a rating matrix. The main problem is to estimate the unknown ratings and then predict the interests of the users to the items which haven’t rated. The main innovation of this paper is to propose a new algorithm to compute matrix factorization in a way that the factorized matrixes would be a good approximation for the initial rating matrix and moreover would be a good source to predict the unknown ratings of the items precisely. The results show that the proposed matrix factorization improves the estimated ratings considerably.
Infection of Nicotiana benthamiana Plants with Potato Virus X (PVX)

[Abstract] Potato Virus X (PVX) is the type member of Potexvirus genus, a group of plant viruses with a positive-strand RNA genome (~6.4 kb). PVX is able to establish compatible infections in Nicotiana benthamiana, a commonly used host in plant virology, leading to mild symptoms, such as chlorotic mosaic and mottling. PVX has been widely used as a viral vector for more than two decades (Chapman et al., 1992; Baulcombe et al., 1995; Aguilar et al., 2015). It provides a feasible means for the systemic expression in plants of heterologous proteins, such as avirulence factors, proteins with pharmacological properties, etc., (Hammond-Kosack et al., 1995; Gleba et al., 2014), and also as a tool to help decipher the function of genes in plants by virus-induced gene silencing (VIGS) (Lacomme and Chapman, 2008). Two different protocols, i.e., rubbing (A) and agroinfiltration (B), that allow efficient multiplication and propagation of PVX in N. benthamiana are described here in detail. The rubbing method requires previous infected sap, and infection is achieved by inducing mechanical damages to leaf tissue, allowing viral particles to penetrate the plant surface. Agroinfiltration needs previously modified agrobacterium to carry and deliver T-DNA with PVX sequences into the plant cell. Agrobacterium is grown until saturation and infection is established by infiltrating it into plant tissue with a syringe. Any of these two methods can be successfully applied, and the choice should be based mainly on the availability of material and time, but it is recommended to use agroinfiltration when chimeric viruses are being used.
Design and evaluation of an incoherent feed-forward loop for an arsenic biosensor based on standard iGEM parts

Abstract The diversity and flexibility of life offers a wide variety of molecules and systems useful for biosensing. A biosensor device should be robust, specific and reliable. Inorganic arsenic is a highly toxic water contaminant with worldwide distribution that poses a threat to public health. With the goal of developing an arsenic biosensor, we designed an incoherent feed-forward loop (I-FFL) genetic circuit to correlate its output pulse with the input signal in a relatively time-independent manner. The system was conceived exclusively based on the available BioBricks in the iGEM Registry of Standard Biological Parts. The expected behavior in silico was achieved; upon arsenic addition, the system generates a short-delayed reporter protein pulse that is dose dependent to the contaminant levels. This work is an example of the power and variety of the iGEM Registry of Standard Biological Parts, which can be reused in different sophisticated system designs like I-FFLs. Besides the scientific results, one of the main impacts of this synthetic biology project is the influence it had on team’s members training and career choices which are summarized at the end of this article.
PERFORMANCE ANALYSIS OF FRUIT CROP FOR MULTICLASS SVM CLASSIFICATION

The research study aim to improve the performance of fruit quality by two approaches, first by applying kernel technique combined with specific classification method support vector machine (SVM) with error-correcting output codes for fruit categorization and then by cross validation . It is measured by analyzing the different mention kernel selection on color and shape features. Two coding design method such as one-vs.-one and one-vs.- all are examined with three commonly used kernel function linear, polynomial (cubic) and Radial Basis Function (Gaussian). The Experiment was conducted on fruit dataset created from fruit 360 dataset with six categories such as Apples, Avacados, Bananas, Cherrys, Grapes and lemons. The accuracy obtained for the fruit category with 98% accuracy was enhanced by the proposed method by the use of kernel technique selection resulted to 99%. However kernel choice highly depends on the parameter used for fruit categorization is introduced and discussed. The Experiments was carried out to find the best SVM kernel among linear, cubic and Gaussian for fruit categorization. The Experiment also focuses on evaluation process using cross validation methods kfold and hold out which resulted in a better accuracy for the classification model. The results show that the proposed method provides very stable and successful fruit classification performance over six categories of fruits. The coding design one-vs. - one performed better when compared to one-vs. - all with respect to accuracy and training speed.
Development of a real-time security management system for restricted access areas using computer vision and deep learning

Abstract The safety of railways, the nation's main transportation network, is currently drawing attention. This is mainly because of recent terrorist attacks aimed at private multipurpose facilities in a number of foreign countries. This article proposes a system for real-time monitoring of railway facilities and secure areas. Access control will be obtained using Raspberry Pi, an inexpensive micro-controller connected to the cloud via Amazon Web Service. Real-time surveillance is demonstrated by implementing computer vision and deep learning, and Twilio API. Intruders in restricted areas (such as tracks and electrical installations) can be detected with high precision and notifications can be sent to the safety and security managers in real time via short message service through cloud applications. The proposed system will assist the safety and security managers in responding swiftly and effectively to prevent or minimize risks that arise due to intruders.
Phylogenetic relationships and the maternal donor of Roegneria (Triticeae: Poaceae) based on three nuclear DNA sequences (ITS, Acc1, and Pgk1) and one chloroplast region (trnL‐F)

Roegneria is a polyploid perennial genus in the tribe Triticeae. Some species of Roegneria are morphologically similar to genus Elymus and have been classified in Elymus. To investigate the delimitation and phylogenetic relationships of Roegneria, nuclear (ITS, Acc1, and Pgk1) and chloroplast (trnL–trnF) DNA regions were sequenced for 38 allopolyploid species and 32 diploid species of Triticeae. Phylogenetic analyses of nuclear DNA revealed that all Roegneria species were included in the St and Y genome clades, and that the Y genome was closely related to the V and Xp genomes. The chloroplast DNA dataset showed that Roegneria species were grouped with Pseudoroegneria species. The Pseudoroegneria species from the Middle East (P. libanotica and P. tauri) and Central Asia (P. strigosa) were more closely related to Roegneria species. The results suggested that: (i) the species containing the St and Y genomes should be segregated from Elymus and treated as a distinct genus, Roegneria, based on the genomic constitution; (ii) P. libanotica, P. tauri, and/or P. strigosa potentially served as the maternal donor of the St genome in Roegneria; (iii) The Y genome of Roegneria originated from a diploid Y genome species, and the V and Xp genomes may have contributed to Y genome formation; (iv) among Roegneria species of previously uncertain genomic constitution, R. seriotina was tetraploid and possessed the StY genomes, E. calcicolus was hexaploid with the StYH genomic constitution and should be classified in Campeiostachys, R. glaucifolia possessed the StStY genomes, and R. tschimganica had the genomic constitution St1St2Y.
Study on Fast Cold Start-Up Method of Proton Exchange Membrane Fuel Cell Based on Electric Heating Technology

In order to realize the low temperature and rapid cold start-up of a proton exchange membrane fuel cell stack, a dynamic model containing 40 single proton exchange membrane fuel cells is established to estimate the melting time of the proton exchange membrane fuel cell stack as well as to analyze the melting process of the ice by using the obtained liquid–solid boundary. The methods of proton exchange membrane electric heating and electrothermal film heating are utilized to achieve cold start-up of the proton exchange membrane fuel cell (PEMFC). The fluid simulation software fluent is used to simulate and analyze the process of melting ice. The solidification and melting model and multi-phase flow model are introduced. The pressure-implicit with splitting of operators algorithm is also adopted. The results show that both the proton exchange membrane electric heating technology and the electrothermal film heating method can achieve rapid cold start-up. The interior ice of the proton exchange membrane fuel cell stack melts first, while the first and 40th pieces melt afterwards. The ice melting time of the proton exchange membrane fuel cell stack is 32.5 s and 36.5 s with the two methods, respectively. In the end, the effect of different electrothermal film structures on cold start-up performance is studied, and three types of pore diameter electrothermal films are established. It is found that the electrothermal film with small holes melts completely first, and the electrothermal film with large holes melts completely last.
A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques.
Impact of common carp, Cyprinus carpio (L.) and Nile tilapia, Oreochromis niloticus (L.) on arthropods population, zoobenthos and weeds in rice-fish culture

An experiment was carried out in the fields of the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh, Bangladesh to determine the impact of common carp (Cyprinus carpio) and tilapia (Oreochromis niloticus) culture on arthropod population, zoobenthos and weeds of rice field. The treatments were: (1) rice combined with mono sex tilapia, (2) rice combined with common carp, (3) rice combined with a mixed culture of mono sex tilapia and common carp and (4) rice alone. It was observed that tilapia significantly reduced the number of arthropods, green leafhoppers and white leafhoppers in the rice-fish production systems. Benthos analysis revealed significant effects of fish culture on the abundance of molluscs, oligochaete worms and chironomid larvae. Lowest number of benthos was obtained in the treatments with common carp and significant reduction of the weed biomass was observed, especially in the tilapia containing plots. Based on the results of the study it can be suggested that common carp may play an important role in controlling of benthic organisms, while tilapia might be more effective to control terrestrial arthropods and weeds.