Miracle-dz/UniFAR-FTUs huggingface dataset:
Promoting Academic Success and Social Inclusion in Non-Formal Education Contexts: The Case of a North-East Region of Portugal

The processes leading to school failure and early school leaving are complex and involve multidimensional factors. In Portugal, as in other European countries, in the last decade, several policies, programmes, and practices have been developed to address this issue. This article focuses on a socio-educational practice of the study support type developed within a national programme aimed at social inclusion and educational success located in the community. The data collected through a semi-structured interview and a focus group with socio-educational professionals allowed us to identify how the study support practice is characterised and perceived by these actors. Processes and factors of transformation that occurred in the practice regarding its mode of implementation, conceptual evolution, and specificities were also addressed. Results indicate that the practice promotes improvements in participants’ outcomes such as learning, social behaviour, integration, and autonomy; the construction of a strong and sustained relationship with significant adults from the learning point of view; and the completion of compulsory schooling and studies. Hence, the research findings highlight that participation in the practice leads to transformative processes in the academic pathways of children and young people involved in the practice concerning academic, individual, and social dimensions.
A Miniaturized Multiband FSS Director Using Double Layer With ICPW Technique Structure for Wireless Communication Systems

This paper presents a multiband director based on the frequency selective surface (FSS) unit cell structure using the double layer with interdigital CPW (ICPW) technique. The unit cell consists of the front and the back. The front part has been designed using an ICPW technique based on a coplanar waveguide structure to enhance the capacitance between the transmission line and the semi-ground. The overall structural dimension of the unit cell can be designed to be smaller than the conventional range of <inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula>/2 to <inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula>/8, due to the influence of the slow wave effect on the capacitance of the structure. The back part is the inverted layer of the front, which alternates between substrate and copper. It is composed of a square loop resonator with a double meandering line. The capacitance generated by a double meander line enhances the capacitance in the front part, which influences the control of all resonant frequencies and increases the slow wave on the double-layer unit cell structure, resulting in a significantly reduced dimension. The resonance frequencies for the designs are 1.8 GHz (LTE), 3.7 GHz (Wi-MAX) and 5.2 GHz (WLAN), respectively. According to simulation results, the FSS can transmit all resonant frequencies. It has an overall dimension of 10.93 mm <inline-formula> <tex-math notation="LaTeX">$\times11.48$ </tex-math></inline-formula> mm. In addition, the FSS unit cell has been arranged as a <inline-formula> <tex-math notation="LaTeX">$7\times 7$ </tex-math></inline-formula> array for use as a director. The dimensions are 73.48 mm <inline-formula> <tex-math notation="LaTeX">$\times77.38$ </tex-math></inline-formula> mm. The FSS director will be evaluated utilizing an omnidirectional dipole antenna at the same resonant frequency as the FSS unit cell. According to both the simulated and measured outcomes, the impedance matching value is below -10 dB at the three resonant frequencies. The FSS director equipped with a dipole antenna exhibits bidirectional propagation characteristics across all resonant frequencies. The antenna gains for simulation are 3.45 dBi, 3.05 dBi, and 3.72 dBi, while the antenna gains for measurement are 3.05 dBi, 2.98 dBi, and 3.12 dBi. The findings indicate a high level of concurrence.
Development of 2-colour and 3D SMLM data analysis methods for fibrous spatial point patterns

Single molecule localisation microscopy (SMLM), experimentally achieved over a decade ago, has become a routinely used analytical tool across the life sciences. A prevalent theme in the SMLM field is the need for quantitative analytical methods, owing to the point pattern nature of SMLM data. Whilst some forms of post processing analytics, for example cluster analysis, have been widely studied, others such as fibre analysis remain in their infancy. Here, we present two methods based on variants of Ripley’s K-function for the analysis of fibrous structures in 3D and for dual colour data with one fibrous and one clustered molecular species. We demonstrate the methods on both simulated and experimental data of the actin cytoskeleton at the T cell immunological synapse.
Study of the Combustion Mechanism of Zn/KMnO4 Pyrotechnic Composition

This work aims to investigate the combustion mechanism for a pyrotechnic delay composition (PDC), consisting of zinc powder as a fuel and KMnO4 as an oxidising agent. For this purpose, the compositions were thermally conditioned at several set temperatures, chosen based on our previous work. Tests were also performed for post-combustion residues obtained via combustion of the PDCs in a manometric bomb. The samples were examined by scanning electron microscopy (SEM), Raman spectroscopy and X-ray diffractometry (XRD). Furthermore, the obtained results were correlated with previous studies by the authors and compared with data available in the literature. On the basis of tests carried out for thermally conditioned samples, a combustion mechanism was determined for Zn/KMnO4 as a function of temperature. The results show that the combustion process dynamics are independent of equilibrium ratio and limited mainly by diffusion of liquid fuel into the solid oxidising agent. Moreover, it has been revealed that Raman spectroscopy can be effectively used to determine combustion mechanisms for pyrotechnic compositions.
Ionised jets associated with massive young stellar objects

This thesis focuses on the phenomena of ionised jets associated with massive young stellar objects. Firstly a study was conducted with the aim to establish a statistical sample of such objects. Radio observations towards a sample of 49 MYSOs resulted in the detection of 28 objects classified as ionised jets. The jets' radio luminosities scaled with their MYSOs' bolometric luminosities in the same way as for low-mass examples. This infers that the jet launching and collimation mechanisms of high-mass jets are very similar to that in their low-mass counterparts and they are ejected for the last <65000yr of the MYSO phase. Interestingly non-thermal emission was regularly detected towards spatially distinct radio lobes (associated with 50% of the jets), suggesting the presence of synchrotron emission and therefore, magnetic fields. With an average spectral index of -0.55 (indicative of the 1st order Fermi acceleration mechanism) it is concluded these lobes are the result of shocks in the jets' stream. My second science chapter is a study of radio variability, precession and proper motions towards a subset of objects from the first chapter. Over a two year time period, no significant variability and only one example of proper motion (1800+/-600 km/s) was detected. Precession was found to be commonplace however and if it arises as the result of binary interactions, we infer orbital radii between 30 and 1800 au for the binary companions. Lastly, high-resolution, VLA observations at C and Q-bands were analysed to extend the known sample of MYSOs harbouring ionised jets into the northern hemisphere. Only 3 radio sources were detected possessing jet-like characteristics towards the work's sub-sample of 8 IRDCs containing 44 mm-cores (in our field of view), highlighting the radio-quiet (>30 microJy) nature of this early phase in massive star formation. Towards the RMS survey derived sample of 48 MYSOs, a total of 38 radio sources with jet-like characteristics were detected, of which 14 were bona-fide jets (10 of which were associated with shock-ionised lobes). Comparing the analysis of the MYSO sample to statistical surveys of molecular outflows, it was inferred from their total momenta that the jets alone are mechanically capable of entraining the outflows. Measurement of the physical extent of the radio emission showed no evolution of the opening angle with bolometric luminosity, and that a trapped HII region alone was not enough to explain the radio emission. Most interestingly, jets associated with shock ionised lobes were found to occupy later evolutionary IR colours than those without, suggesting them to be an evolutionary stage in ionised jet, and MYSO, evolution.
A Timeline for Acquisition of Farsi Consonants: A First Language Acquisition Corpus-based Analysis

This study is one of the first endeavors in the realm of Farsi acquisition as the first language. The one-year utterances of five Iranian children were meticulously observed to determine the onset of steady perfect articulation of each consonant. The corpora were available from CHILDES which is the largest database for children’s corpus-based studies. Corpora analysis revealed that [w] and [ʒ] had been perfectly pronounced before the study initiated; [f] was accomplished before the 40th month; [m] and [x] were perfectly enunciated in the 42nd month while the pronunciation [v] was idealized in the 44th month along with [b], [d], [h] and [g]; [t], [n] and two approximants were perfectly produced in the 46th month and [s] got its steady idealized pronunciation in the 48th month; [r] in addition to affricates and [z] and [ʃ] were in the process of completion when the inquiry terminated. 8 consonants from a total of 23 found their idealized articulations between the 43rd and 46th months of age.
Novel Behavioral Test to make Changes in the response of neurotransmitters in the brain of Alzheimer’s (Auditory Stimulation)

Clinical medicines that act on neuro mediator-related locations are virtually always used to treat neurological illnesses. This suggests that intercellular chemical signaling has a significant impact on how brain networks function. Over the past 25 years, a range of micro-voltammetric sensors and methods have been created to examine neuro mediators in intact brains in vivo. Objective: A more comprehensive understanding of the rat’s brain and the response of neurotransmitters in the brain aid in future clinical studies Design: In this experiment, we will add a sound source with a frequency of 950 Hz to 1100 Hz to the Morris water maze to measure the auditory memory of the rat. The experiment was conducted on 6 rats (control) and 6 rats (induced by aluminum chloride) . It was observed that the rats' memory improved, and a change in their behavior and response was better. Can some diseases of the nervous system be treated with sound effects? Does sound affect the movement of neurotransmitters in the brain? We will discuss in this experiment the changes that have been observed in order to answer all these questions. Results: before modification Induced rats by aluminum chloride were placed on a quarter of the platform for seconds less than after modification (add a sound source). the control before modification Control rats were placed on the platform for fewer seconds than after modification. (Add a sound source).
A RESEARCH ON PSYCHOTECHNICAL TESTS USED IN HUMAN RESOURCES PRACTICES

Psychotechnical tests are used in many areas such as the recruitment of employees, their placement in the appropriate job, and the evaluation of their performance in human resources practices. And with the use of these tests, it helps organizations to employ the right people for the job and to increase the performance of their employees and therefore organizations. One of the most used methods in psychotechnical evaluation is the Vienna Test System (VTS). Determination Test (DT) and Cognitrone Test (COG), two of the most used tests in VTS, were used as measurement tools in this study. While the COG test fundamentally measures attention, DT measures the speed and quality of response to stimuli. The aim of this study is to determine the success of the employees in the COG and DT, according to their educational status and age, and to determine whether there is a difference between them. For this purpose, tests were applied to 3222 blue-collar employees working in Kocaeli and Istanbul in Türkiye. According to the results obtained, as the education level of the employees increases, their success in these tests increases, and as their age increases, their success decreases. In line with these results, some suggestions were presented to managers and researchers.
How can learning organizations support sustainability goals?

Introduction When discussing learning organizations (LOs), scholars and practitioners often focus on the LO system or, in other words, its internal operations, which has recently been criticized as limited (Becker, 2018). Although the LO philosophy is based on systems thinking (among other LO disciplines) and, therefore, seeks to establish harmonious and cooperative relationships with its environment, many practitioners (and scholars) see it as another tool to improve performance. For profit organizations, this means improving productivity and profitability, regardless of the interests of external stakeholders, especially society and its sustainability goals. Knowledge and learning, especially organizational learning, have therefore been studied for their contribution to financial performance. For example, Kim, Watkins, & Lu (2017) found that an organization that develops as a LO positively influences its knowledge performance, which in turn positively affects financial performance. P erez L opez, Manuel Montes Pe on, & Jos e Vazquez Ord as (2005) supported the idea that organizational learning positively affects innovation and competitiveness, which is reflected in financial performance. However, when considering the goal of sustainability, we should take a two-sided perspective and focus not only on organizational viability and sustainability but also on the sustainability of the environment in which organizations (and companies) are embedded. Here, collaboration is key to identifying mutual positions and interests and finding ways to balance them by developing inclusive solutions. In Volume 29, issue 5 guest edited by Jacky Hong Carla Curado and Paulo Lopes Henriques and titled Learning Organization, Human Resource Management and Sustainability: Leading the future of organizations, the focus was on developing sustainable human resource management (HRM) and workforce within sustainable LOs. In this regard, Subramanian & Suresh (2022) suggested a model of green human resource management. Goi, Hakeem, & Law (2022) showed how LOs could be transformed into LO 2.0 by implementing the multi-stakeholder perspective to improve their social responsibility and sustainability. Sun & Hong (2022) provide even more insight into the development of a sustainability-focused LO through the knowledge transfer of expatriates. Chan, Chan, & Chan (2022) discuss how LOs can become sustainable for their employees by developing a sustainable workplace that prevents burnout and improves job satisfaction. The paper by Mosquera, Soares, & Alvadia (2022) offers a perspective on developing a sustainable
Delivering Palliative and Supportive Care for Older Adults with Cancer: Interactions between Palliative Medicine and Geriatrics

Simple Summary Advanced cancer represents the most common reason for needing palliative care among older adults worldwide. Unfortunately, older adults face several barriers when trying to obtain high-quality palliative care partly due to a lack of data regarding the best way to treat them and to limited geriatric expertise among clinicians. Providing palliative care for older patients with cancer requires considering the physiological and functional changes related with aging to tailor therapy and provide individualized care. Furthermore, since geriatrics and palliative care share many common goals, there is a need to create models of care that successfully integrate both disciplines. In this review, we summarize the current evidence regarding the provision of palliative care and symptom control for older adults, as well as guidance regarding the use of geriatrics for decision-making in older patients with incurable diseases. Abstract The world’s population is aging rapidly, with projections indicating that by 2050 one in six people will be aged ≥65 years. As a result, the number of cancer cases in older people is expected to increase significantly. Palliative care is an essential component of cancer care with a direct impact on quality of life. However, older adults with cancer often suffer from multiple comorbidities, cognitive impairment, and frailty, posing unique challenges in the delivery of palliative care. The complex healthcare needs of older patients with cancer therefore require a comprehensive assessment, including a geriatric evaluation. Collaboration between geriatrics and palliative care can offer a solution to the challenges faced by older people with cancer, since this is a population with overlapping concerns for both disciplines. This review highlights the importance of palliative care for older adults with cancer and the benefits of a multidisciplinary approach. It also addresses the coordination of palliative care and geriatrics for specific symptom management and decision making.
Basin Entropy and Shearless Barrier Breakup in Open Non-Twist Hamiltonian Systems

We consider open non-twist Hamiltonian systems represented by an area-preserving two-dimensional map describing incompressible planar flows in the reference frame of a propagating wave, and possessing exits through which map orbits can escape. The corresponding escape basins have a fractal nature that can be revealed by the so-called basin entropy, a novel concept developed to quantify final-state uncertainty in dynamical systems. Since the map considered violates locally the twist condition, there is a shearless barrier that prevents global chaotic transport. In this paper, we show that it is possible to determine the shearless barrier breakup by considering the variation in the escape basin entropy with a tunable parameter.
Accurate Prediction of Sudden Cardiac Death Based on Heart Rate Variability Analysis Using Convolutional Neural Network

Sudden cardiac death (SCD) is a significant global health issue that affects individuals with and without a history of heart disease. Early identification of SCD risk factors is crucial in reducing mortality rates. This study aims to utilize electrocardiogram (ECG) tools, specifically focusing on heart rate variability (HRV), to detect early SCD risk factors. In this study, we expand the comparison group dataset to include five groups: Normal Sinus Rhythm (NSR), coronary artery disease (CAD), Congestive Heart Failure (CHF), Ventricular Tachycardia (VT), and SCD. ECG signals were recorded for 30 min and segmented into 5 min intervals, following the recommended HRV feature analysis guidelines. We introduce an innovative approach to HRV signal analysis by utilizing Convolutional Neural Networks (CNN). The CNN model was optimized by tuning hyperparameters such as the number of layers, learning rate, and batch size, significantly impacting the prediction accuracy. The findings demonstrate that the HRV approach, in conjunction with linear features and the DL method, achieved a higher accuracy rate, averaging 99.30%, reaching 97% sensitivity, 99.60% specificity, and 97.87% precision. Future research should focus on further exploring and refining DL methods in the context of HRV analysis to improve SCD prediction.
We Do Not Anthropomorphize a Robot Based Only on Its Cover: Context Matters too!

The increasing presence of robots in our society raises questions about how these objects are perceived by users. Individuals seem inclined to attribute human capabilities to robots, a phenomenon called anthropomorphism. Contrary to what intuition might suggest, these attributions vary according to different factors, not only robotic factors (related to the robot itself), but also situational factors (related to the interaction setting), and human factors (related to the user). The present review aims at synthesizing the results of the literature concerning the factors that influence anthropomorphism, in order to specify their impact on the perception of robots by individuals. A total of 134 experimental studies were included from 2002 to 2023. The mere appearance hypothesis and the SEEK (sociality, effectance, and elicited agent knowledge) theory are two theories attempting to explain anthropomorphism. According to the present review, which highlights the crucial role of contextual factors, the SEEK theory better explains the observations on the subject compared to the mere appearance hypothesis, although it does not explicitly explain all the factors involved (e.g., the autonomy of the robot). Moreover, the large methodological variability in the study of anthropomorphism makes the generalization of results complex. Recommendations are proposed for future studies.
Detecção de Defeitos de Software Através da Aplicação de uma Arquitetura de Rede Neural Profunda

O ciclo de vida de desenvolvimento de software abrange a etapa de teste de software, uma atividade rigorosa e custosa. Para obter sistemas de software confiáveis e de qualidade, adotar algoritmos de Redes Neurais para predição de possíveis defeitos tem se mostrado uma boa opção. Dessa forma, este artigo propõe uma estrutura de classificação, aplicada em 12 bases de dados da NASA para detectar defeitos de software. Avaliou-se ainda o efeito de duas técnicas de reamostragem híbridas, para tratar o problema de desbalanceamento das classes. Foram utilizadas as métricas acurácia, precisão, sensibilidade, pontuação F1, AUC e MCC, em que foram obtidos resultados competitivos ou superiores a outros estudos.
Web based mission statements in top Italian companies

In this article, the authors analyse the mission statements of 50 top Italian enterprises, which are published on the companies' web sites. The purpose of this study is to analyse, using the Nine Point Scale model given by Fred R. David, the contents of the web site mission statement referring to 50 top Italian operating companies. The findings of the study allow us to confirm that an important topic, as the company mission statement, is often misunderstood and not defined properly, according to the elements of the reference model. The statements are, for most of them, not built in order to give the right support and the useful guidelines for strategic management.
Point tracking: an a-contrario approach

In this work, we propose a new approach to recover trajectories from points previously detected in a sequence of images. In presence of spurious and missing detections, actual trajectories can be characterized by an a-contrario model, that estimates the probability of observing a similar trajectory in random data. This results in a single criterion combining trajectory characteristics (duration, number of points, smoothness) and data statistics (number of images and detected points), which can then be used to drive a dynamic programming algorithm able to extract sequentially the most meaningful trajectories. The performances obtained on synthetic and real-world data are studied in detail, and shown to compare favorably to the state-of-the-art ROADS algorithm.