Miracle-dz/UniFAR-FTUs huggingface dataset:
An ACO-based Algorithm for Efficient XACML Policy Evaluation

With the explosive growth of the internet, XACML policies have grown rapidly in size and complexity, and the efficiency of ABAC decision-making is unable to meet people’s increasing demands, so this paper serves to solve this problem by providing a model based on an ACO algorithm. The model first divides the XACML policy into different classifications by using an ACO algorithm, then searches for related policies by calculating the Euclidean Distance with the request attribute values and XACML policy center attribute values. This approach transforms the policy evaluation into a numerical calculation. To evaluate the efficiency and the effectiveness of these methods, the paper conducts two sets of tests. The first results shows that the classification effect of ACO algorithms is better than K-means; and the second results shows that the Euclidean Distance method is more efficient than the execution vectors used by Said Marouf, et al. to search for related policies. KeywordsXACML; efficient policy evaluation; ACO algorithm; euclidean distance method; ABAC
How professionals deal with clients’ explicit objections to their advice

Previous literature on advice-resistance in medicine and welfare has tended to focus on patients’ or callers’ inexplicit resistance (minimal responses, silence and so on). But clients also raise explicit objections, which put up a firmer barrier against the advisor’s efforts. In a novel look at resistance, we show that one important distinction among objections is their epistemic domain: whether the client’s objection is in their own world (e.g. experiencing pain), or in the world of the practitioner (e.g. difficulties in making appointments). We show that the practitioner may try to manoeuvre the objection onto grounds where their own expertise will win the day, in five ways: conceding the objection’s validity as a preface to moving on; proposing a ‘work-around’ that effectively repeats the original advice; selecting an aspect of it that could be remediated; correcting the client’s understanding of the challenges of the advice; and stressing the urgency of the original course of action. We discuss the distinction between objections to solicited and unsolicited advice, and the role of objections in revealing, and affirming, a service-user’s personal life-world contingencies.
An Android Malware Detection System using a Knowledge-based Permission Counting Method

As the number of cases of damage caused by malicious apps increases, accurate detection is required through various detection conditions, not just detection using simple techniques. In this paper, we propose a knowledge-based machine learning method using authority information and adding its usage counting features. This method is classifying training apps and malicious apps through machine learning using permission features in manifest.xml of Android apps. As a result of the experiment, accuracy, recall, precision, F1 score are 99.01%, 97.70%, 100.0%, 99.01%, respectively. Since Recall is higher than other indicators, it accurately predicts malicious apps as malicious. In other words, the proposed system is effective in preventing the distribution of malicious apps.
Towards Development of Software Testing Competency Framework to Empower Software Testers’ Profession

Separation of job functions between developers and testers due to enforcement of Software Quality Assurance (SQA) concept in software development has created worldwide demands for highly skillful software testers. This job function separation is to ensure that the systems or applications being developed are transparent at its testing activities. This will eventually lead to better quality of software products that will minimize impact or issues regarding software or system errors, bugs or faults. The aim of this article is to discuss on the current nature of software testing industry for identification of competencies issues or challenges related to software testers. This paper is intended to propose a software testing competency development framework as a job profiling, competencies assessment, training needs and professional career development for software testers. It is targeted that the proposed competency development framework will benefit software tester as individual, public or private agencies as organizations and education institutions as academia.
Observations of the millisecond pulsar J0437-4715 at 76 MHz

We report observations of the millisecond pulsar J0437-4715 at 76 and 90 MHz. These observations give a five-fold increase in the frequency range of measurements of this pulsar and provide the first record of the pulsed emission from any millisecond pulsar below 100 MHz. We find that the radio spectrum of the mean pulsed emission of J0437-4715 is similar to that of many other pulsars with a spectral turnover between 90 and 400 MHz. J0437-4715 differs from most other pulsars with respect to the variation of pulse width with radiation frequency and the relative spectra of pulse components.
Dynamic User Equilibrium of Mobility-on-Demand System with Linear Programming Rebalancing Strategy

Mobility-on-demand (MoD) services are provided by multiple competing companies. In their competition for travelers, they need to provide minimum travel costs, or travelers will switch to competitors. This study developed a dynamic traffic assignment of MoD systems. A static traffic assignment (STA) model is first defined. When demand is asymmetric, empty rebalancing trips are required to move vehicles to traveler origins, and the optimal rebalancing flows are found by a linear program. Because of the time-dependent nature of traveler demand, the model was converted to dynamic traffic assignment (DTA). The method of successive averages, which is provably convergent for STA, was used to find dynamic user equilibrium (DUE). The simulation was conducted on two networks. The MoD system was simulated with different fleet sizes and demands. The results showed that the average total delay and travel distance decreased with the increase in fleet size whereas the average on-road travel time increased with the fleet size. The result of traffic assignment of one network with MoD system was compared with a network where all travelers use private vehicles. The results showed that the network with MoD system created more trips but less traffic congestion.
The Biotappo: A New Tool For Food Safety And Consumers’ Protection

Among the plastics commonly used for bottled water and other non-alcoholic refreshment beverages, polyethylene terephthalate (PET) is the most favorable packaging material. Monitoring of the temperatures to which PET-bottled waters are exposed during transportation and/or storage may be crucial in predicting the migration of NIAS (non-intentionally added substances) from PET to water or other beverages. For PET-bottled water and other beverages the monitoring program of the temperature made up of a physical measurement is not easy to perform and sometimes it is even impossible. On the contrary, visual observations of the bottles could provide information in a time frame that allows the stakeholder to take action if an out of control situation occurs. A new tool specifically aimed at monitoring the critical limit for the temperature to which PET bottles are exposed is the BioTappo. The BioTappo is an acrylic, white cap. The top of the cap is covered with a special paint which, when exposed to high temperatures changes its color. The BioTappo could be useful to identify at what steps in the process – transportation and/or storage the controls should be applied to prevent or eliminate the hazards that have been identified.
Follow, follow, follow: analysing the motivations for attending small-scale events abroad

ABSTRACT Rationale/purpose: This research attempts to measure the motivation for football fans to travel abroad for short periods on multiple occasions to attend small-scale events. Design/methodology/approach: Fans of an English football team who travelled to away matches in the 2019/20 Europa League were surveyed (n = 235). A Sport Short Visit Tourism scale is developed through confirmatory factor analysis (CFA). Results and findings: The results found that there were 11 factors, measured by 31 variables, when considering the motivation to travel. Most notably, the results indicated that the experience of the trip was more important than the football match itself. Indeed, the fear of missing out was the most significant factor, particularly in those aged below 40. Research contribution: This study has expanded the current literature regarding sport tourism to cover a new context: fans of a club travelling for a short period to attend a specific small-scale event.
Effect of gallium arsenide laser versus pulsed electromagnetic field on healing of pressure ulcers patients

Purpose: to evaluate the effect of Gallium Arsenide laser versus pulsed electromagnetic field on healing of pressure ulcers. Methods of evaluation: - (Measurement of the ulcer surface area (USA), ulcer volume measurement (UVM) and the colony count (CC). Methods: 40 diabetic patients with pressure ulcers grade II, their ages ranged from 40 – 60 years, were divided randomly into two equal groups in number. Group (A) Gallium arsenide (Ga-As) laser group: This group was consisted of 20 patients who received the Gallium arsenide (Ga-As) laser therapy 3 times per week for 2 months in addition to the routine conventional treatment (dressing – manage bacterial contamination – relieve pressure, friction, and shear – remove necrotic debris – correct nutritional deficits). Group (B) PEMFT group: 20 patients who received the Pulsed electromagnetic field therapy (PEMFT) 3 times per week for 2 months in addition to the routine conventional treatment (dressing – manage bacterial contamination – relieve pressure, friction, and shear – remove necrotic debris – correct nutritional deficits). Results: Results showed that both the Ga-As laser and the PEMFT, were significantly effective in improving healing of pressure ulcers as manifested by the highly decreased USA, UVM and CC in both groups.
SISTEM AKUISISI DATA KADAR KEASAMAN (pH), SUHU, KADAROKSIGEN TERLARUT (DO) DAN KEDALAMAN LINGKUNGANPERAIRAN MENGGUNAKAN MINI VESSEL

Air merupakan salah satu sumber daya alam yang sangat penting bagi kehidupan manusia dan makhluk hidup lainnya. Pencemaran air dapat terjadi di laut, sungai, danau, situ, waduk, rawa, muara, maupun air tanah. Jumlah kandungan oksigen terlarut, pH, suhu dan kedalaman air dapat menjadi indikator yang dapat digunakan untuk menentukan kualitas perairan. Perancangan sistem akuisisi data dari nilai tersebut dapat memudahkan manusia dalam melakukan pengukuran kualitas air di perairan tenang. Dengan menggunakan mini vessel bertipe hull catamaran yang telah disematkan board Arduino Mega 2560 yang dilengkapi sensor pembacaan kadar oksigen terlarut, pH, suhu dan kedalaman sehingga dapat melakukan akuisisi data yang tersimpan dalam micro SD berformat xls. Kemudian pengujian dilakukan dengan pengambilan data sample pada beberapa titik lalu dilihat nilai hasil yang terbaca menggunakan Microsoft Excel. Dihasilkan sebuah sistem yang dapat memantau kualitas perairan dengan pembacaan kadar oksigen terlarut, pH, suhu dan kedalaman yang dapat digunakan untuk memantau kualitas air pada perairan tenang. Kata kunci: pH, DO, suhu, kedalaman, Arduino, kualitas air, mini vessel ABSTRACT Water is a natural resource that is essential for human life and other living creatures. Water pollution can occur in the sea, rivers, lakes, water, reservoirs, swamps, estuaries and groundwater. The amount of dissolved oxygen, pH, temperature and water depth could be an indicator that can be used to determine water quality. Data acquisition system design of these values can enable people to take measurements of water quality in the calm waters. By using mini-hull catamaran-type vessel that has been embedded board Arduino Mega 2560 include sensor readings of dissolved oxygen concentration, pH, temperature and depth so that it can carry out the acquisition of data stored in the micro SD format xls. Then the test is done by taking sample data at some point then seen the value of the result is read using Microsoft Excel. As the result is produced a system that can monitor water quality with the reading levels of dissolved oxygen, pH, temperature and depth that can be used to monitor water quality in the calm waters. Keywords: pH, DO, temperature, depth, Arduino, water quality, mini vessel
A Taxonomy of Privacy, Trust, and Security Breach Incidents of Internet-of-Things Linked to F(M).A.A.N.G. Corporations

Advancements in technology have brought with it widespread use and utilization of the lnternet-of-Things (IoT); a catch-all moniker identifying the collection of eclectic hardware and software mediums connecting people with small electronic computing and monitoring devices, such as SMART products: television, thermostat, speaker, refrigerator, etc. As personal IoT adaptation has grown in parallel with IoT home integration, so too have IoT concerns related to Privacy, Trust, and the Security risks associated with individual end-user protection, especially from IoT devices linked to Facebook (Meta) (F), Apple (A), Amazon (A), Netflix (N), and Google (G); conversationally identifiable as F(M). A.A. N.G. corporations. As a result, the list of IoT threats, security weaknesses, and vulnerabilities has grown exponentially. Nefarious actors have taken advantage of this growing technology, reaching into homes and offices far beyond established limits set by end-users. This research will use a multiple case study approach to analyze IoT security breach events to identify current Privacy, Trust, and Security risks to end-users associated with IoT devices. Furthermore, this research will also utilize security behavioral research by Anderson and Agarwal to introduce a Safe Computing Practices Model (SCPM) that can be implemented by end-users when integrating IoT devices.
Finite-Time Trajectory Tracking Control of Space Manipulator Under Actuator Saturation

This paper proposes a finite-time trajectory tracking controller for a space manipulator under model uncertainty, external disturbance, and actuator saturation. The dynamics of space manipulator is derived using Kane's method. Considering the model uncertainty that may exist when the manipulator captures an unknown payload, a radial basis function neural network (NN) is used to estimate the uncertain model of the space manipulator. An auxiliary system is designed to compensate the actuator saturation. Then a NN-based adaptive terminal sliding mode controller is proposed for trajectory tracking of a space manipulator. The stability of the proposed controller is analyzed using Lyapunov theory. Numerical simulations are conducted to verify the effectiveness of the proposed controller.
Pautas de intervención con alumnado con Trastorno de Déficit de Atención con Hiperactividad

El Trastorno por Déficit de Atención e Hiperactividad (TDAH) es una perturbación del neurodesarrollo muy heterogénea cuya sintomatología suele iniciarse en la infancia y permanece, aunque en menor grado y con características variables, durante la adolescencia y la edad adulta. Se estima que la prevalencia mundial está en torno al 7,2% con una presencia más elevada en hombres que en mujeres y que la edad media de diagnóstico es de 7 años. Por lo tanto, es muy probable que en cualquier aula podamos encontrar al menos dos alumnos con este tipo de trastorno. Además, el Trastorno por Déficit de Atención e Hiperactividad (TDAH) suele presentarse asociado a trastornos de aprendizaje, de la coordinación motora, de conducta, de ansiedad, de ánimo, de sueño o retrasos simples del lenguaje que tienen una gran repercusión en el ámbito académico. El objetivo de este artículo es favorecer la integración y el proceso educativo del alumnado con Trastorno por Déficit de Atención e Hiperactividad (TDAH). En primer lugar, se hace una revisión sobre la evolución histórica de este trastorno para llegar a comprender su conceptualización actual y determinar cuáles son las principales manifestaciones y las áreas más afectadas del alumnado en las aulas. Posteriormente se especifican una serie de pautas de intervención u orientaciones generales y específicas de tipo organizativo y metodológico que pretenden favorecer su proceso de enseñanza aprendizaje y su correcta inclusión.
Foundations of online learning: Challenges and opportunities

Abstract Online learning—learning that involves interactions that are mediated through using digital, typically internet-based, technology—is pervasive, multi-faceted, and evolving, creating opportunities and challenges for educational research in the wake of the COVID-19 pandemic. In this special issue, we advance an interdisciplinary agenda for online learning research at the intersection of educational technology, educational psychology, and the learning sciences. In this first article in the issue, we define online learning including its variants, review historical and current contexts, explore its multidimensionality, and assert key issues shaping contemporary online learning. We propose five important lenses: community, engagement, pedagogy, equity, and design-based research, through which scholarly communities are creating knowledge that influences research and practice in online learning contexts. These lenses highlight points of conceptual overlap between the online and psychological learning literatures. The special issue is organized around these lenses and includes an article representing each one, complemented by commentaries that offer critical appraisal and synthesis.
EBG and SRR Loaded Triple Band Notched UWB Antenna

characteristics in [16] and a resonating stub used to create band-notched characteristics in [17]. The integrated slot method is also used in [18-19] to produce triple band-notched features whereas along with slots on patch, open-ended stubs are used in [20]. A multilayered CSRR topology is implemented in [21] for multifunctional UWB features. The authors in [22] designed a MIMO configuration for slit and slot loaded UWB antenna for band-notched features. In [23-24] authors have etched alphabetic letters shaped slot to produce band-notched whereas in [25] folded resonator is used to produce band-notched as a resonating element as well as a slot on patch or ground. The concept of EBG is used to produce band filtering characteristics in UWB antenna by authors in [26]. In literature, it is proven that the split ring resonator Abstract A compact triple band-notched ultra-wideband (UWB) monopole antenna is presented in this paper. Split Ring Resonator (SRR) structure is exploited in various forms like Complementary Split Ring Resonator (CSRR), Split Ring Resonator Pair (SRRP) and CSRR on Electromagnetic Band Gap (EBG) structure to produce triple band-notched characteristics in UWB spectrum. The proposed antenna produces triple band-notched functions with the integration of all three types of SRR on the primary antenna. The parametric analysis of each form of SRR is presented along with their current distribution effects on the triple band-notched antenna. The proposed antenna prototype is fabricated and measured results are also compared with the simulated one to understand the discrepancies. The measured and simulated results are presented to investigate the band notching characteristics of the suggested antenna in terms of VSWR and radiation characteristics.
Predicting Option Prices and Volatility with High Frequency Data Using Neural Network

Neural network utilizes the huge amount of data for analysis and prediction. This paper predicts option prices and volatility using neutral network based on high frequency intraday data.We focus on short term prediction because option prices and volatility in fact are very volatile and almost impossible to predict. We ﬁnd that neural network is able to predict option prices and volatility by using predictors constructed from the prices of option and its underlining index, especially in short term which is what practitioners care about more in practice.
Illuminating associations between parenting and deleterious neighborhood characteristics via exhaustive modeling

Abstract Objective Our goal was to illuminate associations between specific characteristics of under‐resourced neighborhoods (i.e., socioeconomic deprivation, danger) and specific aspects of parenting (e.g., parental praise, parental nurturance, harsh parenting, and parental control). Background Prior work has highlighted associations between level of neighborhood disadvantage and the parenting of its residents. However, this work has yet to clarify the specific characteristics of the neighborhood or the types of parenting involved. Method Exhaustive modeling analyses were conducted in a sample of 1030 families of twins (average age 8 years; 51% male, 49% female; the racial composition was 82% White, 10% Black, 1% Asian, 1% Indigenous, 6% multiracial) from the Twin Study of Behavioral and Emotional Development in Children. Neighborhood and parenting were assessed using multiple informants and assessment strategies (neighborhood informants, family informants, administrative data, and videotaped parent–child interactions). Results Neighborhood socioeconomic deprivation (i.e., limited institutional and economic structural resources) demonstrated small but consistent negative associations with positive parenting behaviors and maternal control, but not with negative parenting behaviors. Neighborhood danger (i.e., recorded crime, fear of crime, exposure to community violence), by contrast, demonstrated weaker associations with parenting that dissipated once we controlled for overlap with socioeconomic deprivation. Conclusion Danger and socioeconomic deprivation do not function as interchangeable characteristics of under‐resourced neighborhoods, at least in terms of their association with positive parenting. Future studies should identify the specific mechanisms through which neighborhood socioeconomic deprivation is associated with less nurturing parenting.
Consulta de revocación de mandato México 2022: sin ley, sin presupuesto y sin participación ciudadana

El 10 de abril de 2022 se celebró en México el primer proceso de revocación de mandato en el cual se puso a consideración de la ciudadanía la permanencia en el cargo del presidente de los Estados Unidos Mexicanos electo para el periodo constitucional 2018 - 2024. Dicho proceso revocatorio se llevó a cabo en un escenario complejo, pues inició sin la aprobación de un marco normativo que otorgara certeza y con la negativa por parte del Congreso de la Unión de destinar recursos suficientes para que el Instituto Nacional Electoral pudiera cumplir con sus obligaciones legales. Asimismo, el proceso revocatorio se caracterizó por ser impulsado y promovido desde la Presidencia de la República y por el propio partido en el poder (Morena), lo que trajo como consecuencia actuaciones fuera de la legalidad, la apropiación del proceso por actores políticos y una baja participación ciudadana.