Miracle-dz/UniFAR-FTUs huggingface dataset:
Assistant Teacher and His Role in Inclusive Classes in Lower Secondary Education

The role of the assistant teacher in inclusive classrooms is essential in supporting children with special needs. This necessity should mean adapting teaching based on the skills and needs that different children have in learning. For this adaptation to have a scientific basis, it must first and foremost aim at the adaptation of teaching, which is inseparable from the use of IEP in teaching, and the need for teacher-assisted assistance to students with special needs. This responsibility is compounded by the global situation in which we are all involved, such as the pandemic period we are going through. Teaching and special care for some children is not done only through campaigns nor only on the international day dedicated to them. Teaching and care for them should happen on daily basis, they do not accept "conditions" or "protocols" as the skills and needs that some children have do not accept the fulfillment of some of these protocol "rules". Therefore, adaptive teaching and the role of the assistant teacher is essential and a necessity. The findings of the study were realized by processing qualitative data using as instruments: interviews, observations and Focus group with lower secondary school teachers (SET). Received: 13 January 2022 / Accepted: 24 March 2022 / Published: 30 March 2022
Numerical evaluation of soft inter‐slab joint in concrete‐faced rockfill dam with dual mortar finite element method

Recently constructed concrete‐faced rockfill dams (CFRDs) often use soft inter‐slab joints to prevent axial compression‐induced extrusion damage in the concrete face. Due to the complexity of the multibody contact and the lack of information on the actual behavior of soft joints, it is highly challenging to numerically assess the effect of soft joints in CFRDs. In this paper, we present a numerical approach for the three‐dimensional modeling of CFRDs with hard and soft joints. A dual mortar finite element method with Lagrange multiplier is developed to treat the multibody contact in hard joints with impenetrability condition. The soft joint slab‐filler‐slab contact system is modeled using an equivalent contact interface approach, where the soft contact constraints are imposed using a perturbed Lagrange formulation. Through a series of laboratory tests, the mechanical behavior of soft joint is investigated. An extrusion model for the soft joint is presented and implemented in the dual mortar finite element method. The proposed numerical method is applied to the three‐dimensional analysis of Tianshengqiao‐1 CFRD. Despite the complex multibody contact and strong material and geometry nonlinearities in the CFRD, the proposed method is stable and capable of capturing salient characteristics of the CFRD. Numerical results show that in Tianshengqiao‐1, the employment of soft joints can effectively reduce the axial compression stress, thus greatly alleviating the risk of extrusion damage in the concrete face.
Electromechanical Modeling and Simulation of Thin Cardiac Tissue Constructs

In dieser Arbeit wird ein Aufblasversuch fur in vitro Herzgewebe im Rahmen der Finite Elemente Methode (FEM) modelliert und simuliert. Ziel ist dabei insbesondere die Simulation von Medikamentenwirkung auf auto-kontraktile Herzgewebe bestehend aus von human-induzierten pluripotenten Stammzellen abgeleiteten Kardiomyozyten und der Abgleich mit hausinternen experimentellen Resultaten und mit Literaturdaten. Fur das sehr dunne Kompositmaterial wird ein Schalenmodell aufgestellt und mit Hodgkin-Huxley basierten Differentialgleichungssystemen gekoppelt, die die zellulare Elektrophysiologie beschreiben. Zusatzlich wird die kanten-basiert geglattete FEM auf ihre Anwendbarkeit auf biomechanische Schalenprobleme hin untersucht. Diese Methode glattet die elementweise konstanten, kompatiblen Dehnungen uber Elementgrenzen hinweg und erreicht so eine hohere Genauigkeit, als die Standard FEM. Daruberhinaus eignet sie sich in besonderem Mase fur die Berechnung auf stark verzerrten Elementen, die bei automatischer Netzgenerierung fur anatomische Strukturen haufig entstehen. Zunachst werden die verwendeten Schalen- und FE-Theorien, die elektromechanischen Grundlagen von Herzgeweben, sowie von Medikamentenwirkung und einschlagige Modelle vorgestellt. Im Anschlus wird das Modell auf den Aufblasversuch angewandt, an dem die Qualitat und die Fahigkeit des Modellsdikamentenwirkung auf Herzgewebe vorherzusagen, validiert und beurteilt werden.
Stochastic Analysis of a Nonlocal Fractional Viscoelastic Bar Forced by Gaussian White Noise

Recently, a displacement-based non-local bar model has been developed. The model is based on the assumption that non-local forces can be modeled as viscoelastic long-range interactions mutually exerted by non-adjacent bar segments due to their relative motion; the classical local stress resultants are also present in the model. A ﬁnite element (FE) formulation with closed-form expressions of the elastic and viscoelastic matrices has also been obtained. Speciﬁcally, Caputo’s fractional derivative has been used in order to model viscoelastic long-range interaction. The static and quasi-static response has been already investigated. This work in-vestigates the stochastic response of the non-local fractional viscoelastic bar introduced in previous papers, discretized with the FEM, forced by a Gaussian white noise. Since the bar is forced by a Gaussian white noise, dynamical effects cannot be neglected. The system of coupled fractional differential equations ruling the bar motion can be decoupled only by means of the fractional order state variable expansion. It is shown that following this approach Monte Carlo simulation can be performed very efﬁciently. For simplic-ity, here the work is limited to the axial response,
Multistate multiscale docking study of the hydrolysis of toxic nerve agents by phosphotriesterase

The G- and V-type nerve agents are among the most toxic compounds known, where inhalation of a few mg could cause potential death. Over the years wild-type phosphotriesterase (PTE) has gained much attention due to its capability of detoxifying these deadly compounds. The underlying mechanism proceeds via a hydroxyl attack on the P or C centers of the organophosphate nerve agents followed by the departure of the leaving group. Two Zn2+ cations present in the active site center of PTE indirectly assist the hydrolysis. Apart from the wild-type PTE, several designer enzyme variants reportedly catalyze the hydrolysis process much more efficiently. Herein, we studied the hydrolysis of eight toxic compounds with one of the enzyme variants (PTE_27) that show higher efficiency than the wild type as reported in a recent article. We docked both the high energy intermediate state and substrate for all the eight ligands using a consensus docking scheme as implemented in the docking program EnzyDock. Additionally, we investigated the hydrolytic reaction mechanism for all eight ligands employing density functional theory in implicit chloroform solvent and found that hydrolysis for these ligands follows three different possible mechanisms. Finally, EnzyDock successfully predicted correct enantiomeric poses and also score these as low energy docked structures.
Depression and Suicide Risk Prediction Based on Machine Learning Models

Nowadays depression is one of the most series diseases in the world. According to incomplete statistics, depression patients in the world are up to tens of millions of people. About 800,000 people committed suicide because of depression, most of them young people aged 15-29. In other words, on average, every 40 seconds someone commits suicide because of depression. In addition, most depressed patients have suicidal tendencies. Research of World Health Organization show that in the 10 years from 2005 to 2015, the total number of people suffering from depression increased by 18.4 percent. Anxiety and stress will be with human over the next 10 years and will become the most common mental illness, according to the World Health Organization. Therefore, pay more attention mental health. Addressing depression can alleviate problems such as healthcare costs that exceed national and corporate budgets. Using machine learning models to predict patients with depression is a key challenge in the field of clinical data analysis and is one of the prevalent techniques for predicting disease. In this paper, a deep network model for anonymous predictive analysis of the data sets provided by "Suicide Watch" and "Depression" on the Reddit platform and finally ensured that the accuracy of each model result reached 95%. Finally, the causative factors of depression were analyzed to help patients and medical staff to prevent depression in time. So that mental health and safety issues are paid attention to reduce the health and safety problems caused by depression.
InGaP-based InP quantum dot solar cells with extended optical absorption range

In the quest for an efficient optical absorption of broad-band solar irradiation, intermediate-band solar cells composed of wide-bandgap semiconductors have attracted attention. In the present study, we developed and investigated the performance of wide-bandgap InGaP-based InP quantum dot (QD) solar cells. The solar cells were fabricated by solid-source molecular beam epitaxy, and their optical absorption range was found to be up to ∼850 nm, which is larger than the ∼680 nm optical absorption range of the host InGaP solar cells. Through the measurements of the voltage-dependent quantum efficiency, the photocarriers generated in the InGaP host were determined to be captured into the InP QDs, rather than expelled from the solar cells. The findings of this study highlight the need for the development of an optimized structure of intermediate-band solar cells to mitigate the capture of the photocarriers.
COGNIZING NON-TOXIC PRACTICES IN THE PRINT PROCESSES: A STUDY OF VARANASI

Ecology, which is one of the essential practices of sustainable practice, is the talk of the town these days, and professionals from every domain are involved in such practices. This has also been observed in the print medium, where some artists and printmakers take prints using non-toxic materials. Since the ecological aspects of printing have been addressed in many research commentaries, most practitioners still use conventional printing methods and techniques, including materials (toxic), which derive from this research to investigate the significant reasons and construct the practicable framework for the non-practicing professionals and artists. It is well known that Varanasi is a city older than History; as Mark Twain said, thus on other cities can be a better option for conducting a comparative analysis of traditional and ecological print practices. After the argument, this paper reviews the advancements in printing processes used in Varanasi, focusing on toxic and non-toxic methods. It attempts to answer whether traditional printing practices are ecologically friendly. The first part of the paper briefly examines the spread of print media, the different trends and prevalent practices, and their impact on ecology in Varanasi. This part of the research and discussion is based on descriptive analysis. The second section of the paper focuses on current issues in ecology under three broad headings: theory and ecology, practice issues, and ecological effectiveness using discourse analysis to obtain responses from printmakers, and later it would be used to construct the research argument. An important thread running through the second part of the paper is related to discussions about the theory of ecology that is common in print practices and how these practices affect the various areas of ecology and their evaluation.
Optimizing multimedia communication in internet of thing network for improving quality of service

The internet of things (IoT) has revolutionized the way we interact with technology, with the proliferation of interconnected devices leading to an increase in the volume of data transmitted over the network. One of the key applications of IoT is in multimedia communication, where real-time audio and video data is transmitted over the network. However, the diverse nature of applications and the sheer volume of data in IoT networks can lead to network congestion, latency, and variable quality of service (QoS) at the internet side, resulting in a degradation of the overall QoS for multimedia traffic. In this paper, we propose a cross-layer multimedia optimization solution for multi-point to point IoT networks that incorporates service differentiation and bandwidth reservation techniques to improve the QoS of multimedia traffic. We evaluate the performance of our proposed solution using simulations and compare it with existing solutions. Our results show that our proposed solution can significantly improve the QoS of multimedia traffic in IoT networks, even during periods of high network congestion or variable QoS at the internet side.
Searching for the 'Muslims' in Czech Islamophobia and the Effects of Intergroup Contact in Challenging the 'Fear of the Unknown'

: Since at least 2014, cross-national surveys have measured the most negative attitudes towards ‘Muslims’ in the EU among Czech respondents. These attitudes have often been attributed to few contact opportunities with actual Muslims in the country and, thus, public overreliance on the highly negative representations of ‘Muslims’ in public discourse. However, empirical qualitative assessments of the stereotypes which guide many Czechs’ anti-Muslim prejudice and the effects of intergroup contact have been neglected. In an epistemological shortcoming, the survey category ‘Muslim’ has often been treated as one of analysis rather than of practice. Contrarily, I argue that Czech participants’ contingent understandings and racialisation of the category need to be reclaimed as the ontological basis of prejudice. In this study, I relied on the results of a larger constructionist thematic analysis of 31 semi-structured interviews with non-Muslim Czechs and, regardless of citizenship or ethnicity, Muslims living in Czechia conducted in 2020 and 2021. The re-sults show that, in line with public discourse dynamics, ‘Muslims’ in Czechia are commonly understood as immigrants racialised through their perceived Arabness, Middle Easternness and non-Whiteness. Furthermore, perceptions of Western European ‘Muslims’ as highly conflictual are juxtaposed with the fragility of Czechia in the face of immigration. Against this backdrop, I examine the mechanisms through which intergroup contact enriches participants’ social cognitions of ‘Muslims’ – namely, subgrouping, positive stereotyping
Broadband Planar Aperture‐Coupled Antenna Array for WLAN and ITS Beam‐Steering Applications

A broadband multilayer beam‐steering antenna array with a modified mushroom‐like radiating element is introduced. The two‐layer aperture‐coupled array consists of four equal sets of mushroom‐like elements, each of which is made of 16 unit cells in a 4 × 4 configuration. The feeding network is a modified quasi‐Butler matrix, which benefits from improved double‐box branch line couplers. The network has an isolation bandwidth between 4 and 7.9 GHz (65%) and a transmission bandwidth from 4.8 to 7.1 GHz (39%), which operates acceptably in most of the C‐band, especially at wireless local area network and Intelligent Transport Systems (ITS). A broadband Butler matrix uses broadband 3 dB couplers and a middle network. The geometry of the element and feeding network is utilized in array form to enhance the impedance bandwidth and radiation efficiency of the antenna. The results show that the antenna impedance bandwidth covers 3.82 to 8.2 GHz (port 1) and 3.8 to 8.28 GHz (port 2) for Snn ≤ −10 dB, which covers the C‐band fully (4–8 GHz). Moreover, it has a 3 dB gain‐bandwidth of 2.25 GHz that extends from 4.65 to 6.9 GHz with a peak value of 13.65 dBi. The antenna array has a 3 dB axial ratio bandwidth of 1.65 GHz that extends from 4.9 to 6.55 GHz and involves wireless local area network (5.15–5.825 GHz) and ITS (5.795–6.400 GHz). The radiation efficiency of the array for both port excitations is in excess of 75% when circular polarization is achieved. Two firing beams at elevation angles of 20° and −35° are obtained for ports 1 and 2 upon excitation, respectively.
Annual changes in water quality and sportfish community structure following commercial harvest of common carp and bigmouth buffalo

Abstract Martin A. Simonson, Michael J. Weber, Grace M. Wilkinson and Andrew R. Annear. 2023. Annual changes in water quality and sportfish community structure following commercial harvest of common carp and bigmouth buffalo. Lake Reserv Manage. 39:174–189. Commercial harvest of common carp (Cyprinus carpio; hereafter carp) and bigmouth buffalo (Ictiobus cyprinellus; hereafter buffalo) populations had little detectable effect on shallow lake ecosystems. We tested whether carp and buffalo biomass removal affects limnological variables and fish community metrics across 6 shallow, natural lakes of northwestern Iowa using mixed effects models. Annual commercial harvest of carp ranged from 0 to 71 kg/ha; annual harvest of buffalo ranged from 0 to 356 kg/ha. Biomanipulation (i.e., commercial harvest) of carp was associated with decreases in soluble phosphorus and nitrogen concentrations, but not total phosphorus or nitrogen. Buffalo harvest was unrelated to annual changes in nutrient concentrations but was associated with reductions in chlorophyll a and phycocyanin concentrations. Secchi disk transparency and total suspended solids were unrelated to carp and buffalo harvest. Carp harvest was associated with reduced biomass of large cladocerans but no other zooplankton biomass densities; buffalo harvest was unrelated to zooplankton biomass. Species richness and rake density of aquatic macrophytes were unrelated to carp and buffalo harvest. Carp and buffalo harvest was unrelated to changes in most indices of sportfish abundance, condition, and size distribution. Our results suggest harvest of carp and buffalo <71 kg/ha has little effect on abiotic and biotic ecosystem components on short time scales and highlights the challenges associated with shallow lake restoration.
DIAPHRAGMATIC MOBILITY, DISEASE SEVERITY, AND EXERCISE TOLERANCE IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE

Airflow obstruction in patients with Chronic Obstructive Pulmonary Disease represents the main disabling factor, in a progressive and irreversible manner. Respiratory muscle dysfunction correlates with disease mortality and morbidity and reduces the patient's tolerance to exercise and quality of life. Thus, this study aimed to evaluate diaphragmatic mobility, disease severity, and exercise tolerance in patients with COPD. Methods: The study included clinically stable patients diagnosed with COPD according to the GOLD 2019 guidelines. We excluded patients who had disease exacerbation during the study or in the last two months preceding the study those who were unable to perform any of the study assessments due to lack of understanding or cooperation, and those who had clinical intercurrences of cardiorespiratory and, or musculoskeletal nature during the assessments. The diaphragmatic mobility was measured by ultrasound, curvilinear transducer (1-5Mhz). The 6-minute walk test (6MWT) was performed according to the guidelines suggested by the American Thoracic Society. We used the COPD Assessment Test (CAT) and the modified Borg scale to assess the patient's quality of life and the degree of dyspnea, respectively. Results: Sixty-six patients were included and classified into three groups: mild COPD (n=16), moderate COPD (n=30), and severe/very severe COPD (n=20). The mean age of the patients was 63.7 ± 9.4 years, 53% were female, and the mean BMI was 27.6 ± 5.5 kg/m². Diaphragmatic mobility did not correlate with the distance walked on the 6MWT (p=0.8), CAT scores (p=0.2), and disease severity (p=0.9). It also did not correlate with other clinical and functional variables such as heart and respiratory rate, blood pressure peripheral oxygen saturation (SpO2), and Borg scores. Conclusion: In our study, diaphragmatic mobility measurements seem unable to identify disease severity and to correlate with other clinical and functional parameters.
A recombination information process method of missing data in WSN

ABSTRACT With reference to reducing dimensionality or predicting data missing mechanism, this paper approaches the function between distribution of missing data and topology of wireless sensor networks, and presents a recombination information missing data process method. As the missing data normally come from communication especially media accessing mechanism of carrier sense multiple access (CSMA) or time division multiple access (TDMA), the paper shows that the packets loss process is normally Poisson stochastic process. And the paper studies maximum missing data rates of some different topology networks (for example, the topology of star, hierarchical cluster tree, and mesh). In the end, the paper estimates the recombination information missing data processes method by simulations and experiments.
Interval valued fuzzy ideals of pseudo-MV algebras

In this paper, we first introduce the concept of quasi-coincidence of a fuzzy interval value with an interval valued fuzzy set. By using this new idea, we consider the interval valued (, fuzzy (implicative) ideals of pseudo-MV algebras and investigate some of their related properties. Some characterization theorems of these generalized fuzzy (implicative) ideals are derived. ) q ∈∈∨ − fuzzy (implicative) ideal. (, ) q ∈∈∨ −
Multispectral images for discrimination of sources and doses of fertilizer in coffee plants

Remote monitoring of the management of coffee crops is necessary as the demand in decision-making, where the aim is to rise production based on sustainable management is in a constant growth. In this work, it was evaluated the potential of images obtained by low-cost sensors in the discrimination of sources and doses of mineral and organomineral fertilizers in coffee. The experimental design was in randomized blocks, with five blocks and six treatments, as follows: (T1) - 100% of the organomineral treatment; (T2) - 70% of the organomineral treatment; (T3) - 50% of the organomineral treatment; (T4) - 100% of mineral fertilization; (T5) - standard treatment of the farm and (T6) - 70% of mineral fertilization. After management, we used the Mapir 3 Survey3W camera coupled to an ARP drone – Phantom4 to take images of the experiment over a 12-month vegetative period. Combined with image taking, it was collected agronomic parameters of coffee growth and productivity for two crops and concluded that different fertilization doses did not significantly affect the analyzed parameters. Based on the supervised classification of multispectral images, it was possible to discriminate treatments with a higher degree of accuracy (86.66% accuracy) than when analyzing coffee growth parameters.