Miracle-dz/UniFAR-FTUs huggingface dataset:
Functioning and participation of young adults with ASD in higher education according to the ICF framework

Abstract Because of a better understanding of autism spectrum disorder (ASD) in all stages of life and the improvement of support of students with ASD in primary and secondary education, an increasing number of students with ASD are accessing higher education. Previous research suggests that these students have fewer opportunities in higher education due to a number of functioning and participation problems. However, literature regarding students with ASD in higher education is rather scarce. This article presents an overview of recent studies in a literature review describing the functioning and participation problems of young adults with ASD. This literature review is complemented by focus groups with student mentors and interviews with students with ASD to connect the insights from the literature review to the context of higher education and to check whether all functioning and participation problems are covered by the existing literature. The review showed that little is known about the functioning and participation problems of students with ASD in higher education. However, knowledge about the full spectrum of problems can be the first step towards a better match between the individual problems and the offered reasonable accommodations to increase the participation chances and success rate of these students in higher education.
Fine-structured object segmentation via edge-guided graph cut with interaction simplification

Fine-structured object segmentation is a challenging problem in object segmentation community. There are mainly two difficulties that can seriously degrade the segmentation quality: 1) insufficient interactions on fine structures due to the high demand of time and manual efforts, and 2) shrinking bias that discourages long object boundaries. To address these two issues, we develop a novel method within the graph cut framework. First, the commonly used operation of scribbling or dragging bounding boxes is replaced by loosely drawing a few rectangles, thus the interaction burden is largely reduced. Second, an edge-guided graph cut model is proposed to mitigate shrinking bias. This model enforces connectivity of fine structures by adjusting the weighting between neighboring pixels. Finally, the segmentation task is formulated as an optimization problem, which can be optimized effectively and efficiently. Comparative experimental results demonstrate the effectiveness of our method.
Numerical Simulation of Ultrafine Particle Dispersion in Urban Street Canyons with the Spalart-Allmaras Turbulence Model

The increased traffic emissions and reduced ventilation of urban street canyons lead to the formation of high particle concentrations as a function of the related flow field and geometry. In this context, the use of advanced modelling tools, able to evaluate particle concentration under different traffic and meteorological conditions, may be helpful. In this work, a numerical scheme based on the non-commercial fully explicit AC-CBS algorithm, and the one-equation Spalart-Allmaras turbulence model, was developed to perform numerical simulations of fluid flow and ultrafine particle dispersion in different street canyon configurations and under different wind speed and traffic conditions. The proposed non-commercial numerical tool was validated through a comparison with data drawn from the scientific literature. The results obtained from ultrafine particle concentration simulations show that as the building height increases the dispersion of particles in the canyon becomes weaker, due to the restricted interaction between the flow field in the street canyon and the undisturbed flow. Higher values of approaching wind speed facilitate the dispersion of the particles. The traffic effect has been evaluated by imposing different values of particles emission, depending on the vehicles type, with the lowest concentration values obtained for the Euro 6 vehicles, and the highest for High Duty Vehicles. A parametric analysis was also performed concerning the exposure to particles of pedestrians in different positions at the road level as a function of street canyon geometry, traffic mode, and wind speed. The worst exposure (1.25 × 10 6 part./cm 3 ) was found at the leeward side for an aspect ratio H/W = 1, wind speed of 5 m/s when High Duty Vehicles traffic was considered.
Genetically Modeled Mice with Mutations in Mitochondrial Metabolic Enzymes for the Study of Cancer

Mitochondrial dysfunction has long been implicated in progression of cancer. As a paradigm, the “Warburg effect,” which by means of a switch toward anaerobic metabolism enables cancer cells to proliferate in oxygen limiting conditions, is well established. Besides this metabolic transformation of tumors, it has been discovered that mutations in genes encoding mitochondrial proteins are the etiological factors in different types of cancer. This confers to mitochondrial dysfunction a causative role, rather than resultant, in tumor genesis beyond its role in tumor progression and development. Mitochondrial proteins encoded by tumor-suppressor genes are part of the succinate-dehydrogenase, the fumarate-hydratase, and the mitochondrial isocitrate-dehydrogenase enzymes, all of them participating in the Krebs cycle. The spectrum of tumors associated with mutations in these genes is becoming larger and varies between each enzyme. Several mechanisms of tumorigenesis have been proposed for the different enzymatic defects, most of them based on studies using cellular and animal models. Regarding the molecular pathways implicated in the oncogenic transformation, one of the first accepted theories was based on the constitutive expression of the hypoxia-inducible factor 1α (Hif1α) at normal oxygen tension, a theory referred to as “pseudo-hypoxic drive. ” This mechanism has been linked to the three types of mutations, thus suggesting a central role in cancer. However, other alternative molecular processes, such as oxidative stress or altered chromatin remodeling, have been also proposed to play an onco-pathogenic role. In the recent years, the role of oncometabolites, a new concept emerged from biochemical studies upon these tumors, has acquired relevance as responsible for tumor formation. Nevertheless, the actual contribution of each of these mechanisms has not been definitively established. In this review, we summarize the results obtained from mouse strains genetically modified in the three different enzymes.
Translation and Psychometric Properties of Persian Version of Independent Living Scale in Patients with Schizophrenia

Background: Independent living skills are major targets for rehabilitation in patients with schizophrenia. So, assessment of their performance is required to obtain valuable information for planning intervention. The independent living scale (ILS) is a useful assessment tool for this population. Objectives: The aims of this study were to translate the three of five subscales of ILS (“memory/orientation”, “health and safety” and “social adjustment”) into Persian language and evaluate their validity. The remaining two subscales of ILS (“money management”, “home management and transportation”) have already been translated to Persian language by other researchers in Iran. In addition, the reliability of whole Persian version of ILS subscales was evaluated to be used for patients with Schizophrenia. Methods: The three subscales of ILS were translated from English into Persian according to the international quality of life assessment (IQOLA) approach. The translation of the three subscales: memory/orientation, health and safety and social adjustment, were analyzed by experts to develop the final version of each subscale. After translation, face and content validity of scale were performed. In face validity evaluation, the scale was investigated by 6 occupational therapists in terms of simplicity, mastery, relationship and clarity or transparency for each of the items. To assess the validity of content, scale was examined by 15 occupational therapists and content validity ratio (CVR) and content validity index (CVI) of each item were calculated. To assess the reliability of the subscales, test-retest reliability techniques (intraclass correlation coefficient (ICC) and standard error of measure (SEM) were utilized. Results: The simplicity, relevance, clarity and necessity of the translated items were acceptable, according to the CVI and CVR scores. Face validity was also acceptable with respect to agreement rate (> 80%). Test-retest reliability was acceptable with respect to ICC and SEM scores. The values of the ICC were > 0.70 and the values of the SEM were ≤ 1 for the score of subscales and total score. Conclusions: The Persian version of the ILS has acceptable levels of face validity, content validity, and test-retest reliability to use for Iranian patients with Schizophrenia.
Transient distribution of voltages in induction machine stator windings resulting from switching of power electronics

The fields of application of adjustable speed drives fed by voltage source inverters is constantly increasing. For better exploitation of the system's capabilities all drive components are more and more operated near and even above their rated values. This leads to more strains for the drive. However, at the same time the demands for reliability are also increasing. To reach this requirement different strategies like fault tolerant design, fault detection and condition monitoring can be implemented. However, to implement such strategies a deep understanding of the effects that lead to problems or faults in the drive system is necessary. The fast switching of modern voltage source inverters leads to transient overvoltage stressing the machine's insulation system. A short literature study presenting the characteristic of and the parameters influencing the non-linear voltage distribution in the stator winding of inverter-fed machines will be presented. Furthermore the findings will be compared with experimental results on an induction machine with tapped windings.
AUTOMATIC BUILDING EXTRACTION FROM AERIAL IMAGES

This paper describes the initial steps of an ongoing project, which aims to analyze building extraction methods, and their approaches. Automatic building extraction from aerial images uses many approaches from the computer vision technology. The object recognition of man-made features has many difficulties that are discussed and to query. Many steps are involved in the approaches today that lead to loss of accuracy and data. Quality and integrity of data of a semiautomatic building extraction program are evaluated.
Radio detection of neutrinos from behind a mountain

We explore the sensitivity of a neutrino detector employing strongly directional high gain radio antennae to detect the conversion of neutrinos above $10^{16}$ eV in a mountain or the earth crust. The directionality of the antennae will allow both, the low threshold and the suppression of background. This technology would have the advantage that it does not require a suitable atmosphere as optical detectors do and could therefore be deployed at any promising place on the planet. In particular one could choose suitable topographies at latitudes that are matched to promising source candidates.
Supervised relation extraction for ontology learning from text based on a cognitively plausible mode

Most work on ontology learning from text relies on unsupervised methods for relation extraction inspired by Hearst’s work, and attempts to extract relations identified in work in formal linguistics and ontology. In this paper we present work aiming at extracting from text the set of concept attributes actually associated to concepts according to psychological research, and using state-of-the art supervised relation extraction techniques.
OSM-9, A Novel Protein with Structural Similarity to Channels, Is Required for Olfaction, Mechanosensation, and Olfactory Adaptation inCaenorhabditis elegans

Although cyclic nucleotide-gated channels mediate sensory transduction in olfaction and vision, other forms of sensory transduction are independent of these channels. Caenorhabditis elegans cyclic nucleotide-gated channel mutants respond normally to some olfactory stimuli and to osmotic stimuli, suggesting that these chemosensory responses use an alternative sensory transduction pathway. One gene that may act in this pathway isosm-9, which is required for each of these responses as well as a mechanosensory response to nose touch. osm-9encodes a protein with ankyrin repeats and multiple predicted transmembrane domains that has limited similarity to theDrosophila phototransduction channels transient receptor potential (TRP) and TRP-like (TRPL). The sequence of OSM-9 and other TRP-like genes reveals a previously unsuspected diversity of mammalian and invertebrate genes in this family. osm-9 is required for the activity of the predicted G-protein-coupled odorant receptor ODR-10, which acts in the AWA olfactory neurons; its similarity to other G-protein-regulated transduction channels suggests that OSM-9 is involved in AWA signaling. osm-9:: GFP fusion genes are expressed in a subset of chemosensory, mechanosensory, and osmosensory neurons. osm-9 also affects olfactory adaptation within neurons that require the cyclic nucleotide-gated channel for olfaction; in these neurons, the gene has a regulatory function and not a primary role in sensory transduction.
Formal Specification and Code Generation of Programable Logic Controllers

Programable logic controllers (PLCs) are complex cyber-physical systems which are widely used in industry. This paper presents a robust approach to design and implement PLC-based embedded systems. Timed automata are used to model the controller and its environment. We validate the design model with resort to model checking techniques. We propose an algorithm to generate PLC code from timed automata and implement this algorithm with a prototype tool. This method can condense the developing process and guarantee the correctness of PLC programs. A case study demonstrates the effectiveness of our method.
THE RELATIONSHIP BETWEEN SOCIAL AND ACADEMIC ADJUSTMENT AMONG SECONDARY FEMALE STUDENTS IN JORDAN

The investigation of the level of Social and Academic Adjustment and the relationship between both of them in Jordan is still inadequate due to lack of research and interest among scholars and researchers. This fact is occurring even though the increase of refugees during the last five years has affected other Jordanian students. Therefore, this study examines the relationship between Social Adjustment and Academic Adjustment among secondary female students in Jordan. A total of 100 students from one school were examined. The result from the analysis posited that there is a high level of Social Adjustment (60%) and Medium level of Academic Adjustment (66%). Additionally, there is a positive statistically significant correlation (0.552) among the total of Social Adjustment and the total of the Academic Adjustment. Pearson correlation was used to evaluate the overall relationship between social and academic adjustments. A strong positive correlation was found between the social and academic scores of students. The current study has also discussed the results, the limitations and the recommendations. Article visualizations:
Briveracetam and Seletracetam – two new third-generation antiepileptic drugs

STRESZCZENIE Jednym z najcześciej wystepujących zaburzen neurologicznych jest padaczka, charakteryzująca sie nawracającymi napadami drgawkowymi. Chorobą tą dotknietych jest ok. 50 mln. osob na calym świecie, co stanowi 1–3% populacji. Padaczka zaburza funkcjonowanie spoleczne oraz stwarza problemy natury psychologicznej u dotknietych nią osob. Pomimo duzego postepu w badaniach klinicznych i doświadczalnych terapia prowadząca do dlugotrwalych remisji jest nieskuteczna w 30% przypadkow. Mozliwymi przyczynami oporności na leki przeciwpadaczkowe mogą byc podloze genetyczne, choroby towarzyszące oraz substancje oslabiające dzialanie lekow przeciwpadaczkowych, np. kofeina i aminofilina. Obecnie dostepnych jest ok. 20 nowych, nalezących do trzeciej generacji, lekow przeciwpadaczkowych. Prawdopodobnie najlepszą opcją terapeutyczną dla osob cierpiących z powodu padaczki lekoopornej jest odpowiednia, uwzgledniająca interakcje pomiedzy lekami, kombinacja dwoch lub wiecej lekow przeciwpadaczkowych. Opracowanie dotyczy mechanizmow dzialania, profilu farmakokinetycznego oraz interakcji nowych lekow trzeciej generacji: briveracetamu (BRI) {(2S)-2-[(4R)-2-oxo-propylpyrrolidinyl]-butanamide} oraz seletracetamu (SEL) [pochodna (S)-_-etyl-2-oxo-pyrrolidonowego acetamidu]. Są one pochodnymi lewetiracetamu (LEV) posiadającymi 10-krotnie wieksze powinowactwo do bialka SV2A niz lewetiracetam. Slowa kluczowe: leki przeciwpadaczkowe, Briweracetam, Seletracetam, Lewetiracetam, padaczka ABSTRACT One of the most common neurological disorders is epilepsy characterised by recurrent spontaneous seizures. It is estimated that over 50 millions of people in the whole world have the disease, which means app. 1-3% population. Epilepsy not only affects the brain itself but also influences the social, vocational and psychological functioning. Despite much progress in understanding the pathophysiological processes underlying seizures, there are still about 30% of epilepsy patients that are not seizure free. There are many possible causes of this state: genetic, disease-related and drug related factors, applied substances which reduce anticonvulsant effect of antiepileptic drugs (AEDs), for example: caffeine and aminophylline. Currently there are about 20 novel AEDs which belong to the third-generation AEDs category. Probably the best therapeutic option for patients suffering from drug resistant epilepsy is the combined administration of two or more AEDs or the application of novel AEDs. This review summarizes the information on the mechanisms of action, pharmacokinetic profiles and drug interactions of novel, third-generation, antiepileptic drugs: briveracetam (BRI) {(2S)-2-[(4R)-2-oxo-propylpyrrolidinyl]-butanamide} and seletracetam (SEL) [derivative of (S)-_-ethyl-2-oxo-pyrrolidine acetamide]. They are derivatives of levetiracetam (LEV) and they have 10-fold greater affinity for SV2A protein than does levetiracetam.
A relative measurement based leader-follower formation control of mobile robots

This paper deals with leader-follower formations of nonholonomic mobile robots and introduces a new nonlinear control method for the robot motion in formation. Proposed approach enables to track the target position and is based on using a forced movement along the desired trajectory in the state space. Moreover, this approach requires only relative and local motion sensors data. Simulation results have demonstrated the effectiviness and robustness of the proposed control shemes.
Assessment of Diverse Quality Metrics for Medical Images Including Mammography

This paper presents the comparative analysis of various quality metrics for medical image processing. Measurement of image quality is vital for numerous image-processing applications. Image quality measurement is closely related to image resemblance assessment in which quality is based on the differences (or similarity) between a degraded image and the original, unmodified image chiefly in mammographic images. Simple verifiable techniques have been used for representing the image quality because we have employed automatic and mathematically defined procedure distinct detailed methods, which are costly, time consuming and observer dependent. In this paper images have been subjected to various degrees of blur, noise, compression and contrast levels and quality has been measured in terms of well known metrics such as Mean Squared Error (MSE), Structural Similarity Index Metrics (SSIM) Peak Signal-to-Noise Ratio (PSNR), Maximum difference (MD) including new measures of image qualities for low cost medical image analysis.
A reflectometer setup for spectral BTF measurement

In computer graphics, information about a material’s reflectance properties is needed to visualize it correctly in a virtual scene. A common representation of these properties is the BTF (Bidirectional Texture Function). Ideally, the BTFs should be available in a spectral form (more than 10 non-overlapping wavelength bands) to allow for correct color calculations. Currently, however, all BTF measurement methods rely on RGB cameras or similar tristimulusbased devices. Reasons for this are the large amounts of data generated by spectral measurements, which would have been too much to handle just a few years ago, the long measurement times and the enormous cost of specialized hardware needed for a spectral acquisition. Since RGB values are not sufficient for the correct reproduction of a material’s visual appearance under arbitrary lighting conditions, we now present a measurement setup for the acquisition of spectral BTFs.
Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)

The quality of radiation therapy delivered for treating cancer patients is related to set-up errors and organ motion. Due to the margins needed to ensure adequate target coverage, many breast cancer patients have been shown to develop late side effects such as pneumonitis and cardiac damage. Breathing-adapted radiation therapy offers the potential for precise radiation dose delivery to a moving target and thereby reduces the side effects substantially. However, the basic requirement for breathing-adapted radiation therapy is to track and predict the target as precisely as possible. Recent studies have addressed the problem of organ motion prediction by using different methods including artificial neural network and model based approaches. In this study, we propose to use a hybrid intelligent system called ANFIS (the adaptive neuro fuzzy inference system) for predicting respiratory motion in breast cancer patients. In ANFIS, we combine both the learning capabilities of a neural network and reasoning capabilities of fuzzy logic in order to give enhanced prediction capabilities, as compared to using a single methodology alone. After training ANFIS and checking for prediction accuracy on 11 breast cancer patients, it was found that the RMSE (root-mean-square error) can be reduced to sub-millimetre accuracy over a period of 20 s provided the patient is assisted with coaching. The average RMSE for the un-coached patients was 35% of the respiratory amplitude and for the coached patients 6% of the respiratory amplitude.