Miracle-dz/UniFAR-FTUs huggingface dataset:
Teachers’ well-being and job satisfaction: the important role of positive emotions in the workplace

ABSTRACT With teacher shortages around the world and high attrition rates in some countries, teachers who experience high job satisfaction offer solid support for school systems as they are healthier, more productive and more likely to retain their job in the long term. This study sheds light on the relationship between job-related well-being and job satisfaction. It investigates the extent to which the well-being domains of (P) positive emotions, (E) engagement, (R) relationships, (M) meaning and (A) achievement are linked to job satisfaction. To do so, it analyses data from 511 German schoolteachers. Results show that higher PERMA profiles were linked to higher job satisfaction rates. Analyses further specified that, of the five factors, positive emotions provided the strongest contribution in predicting job satisfaction. The results suggest that the job-related well-being of teachers, especially positive emotions in the workplace, play an important role in teachers’ job satisfaction and their subsequent retention.
Are the SARS-CoV-2 Variants Greater Threats? - An In Silico Analysis of the Spike Protein

March 2020 marked the beginning of a global pandemic caused by SARSCoV- 2. With the development, production and distribution of several vaccines there are hopes to an end in sight. However, with the emergence of several mutated viral strains concerns are mounting as to the effectiveness of the current treatments and preventative measures against the new strains. Herein we analyzed and compared the interaction of the SARS-CoV-2 Spike (S) protein and its variants with human Angiotensin Converting Enzyme (ACE-2) and the binding affinities of several possible S-protein inhibitors with these variants via in silico molecular docking studies. The binding affinities of all the variants to ACE- 2 are less than that of SARS-CoV-2, indicating they are less potent than SARSCoV- 2. The inhibitors, however, showed decreased binding affinity to most of the mutant S-proteins than SARS-CoV-2, indicating it is more difficult to treat COVID using the therapeutic approach targeting the S-protein.
Synthesis and Optical Properties of Colloidal M3Bi2I9 (M = Cs, Rb) Perovskite Nanocrystals

Bulk Cs3Bi2I9 exhibits zero-dimensional (0-D) perovskite crystal structure at the molecular level, providing scopes for novel optical properties compared to three-dimensional perovskite structures. Here, 0-D refers to the crystal structure irrespective of the size of the crystal. We have prepared colloidal Cs3Bi2I9 nanocrystals and elucidated the unique optical properties arising from their 0-D crystal structure. Absorption spectrum at 10 K confirms that the electronic band gap of Cs3Bi2I9 nanocrystals is at 2.86 eV, along with a sharp excitonic peak at 2.56 eV, resulting in a very high excitonic binding energy, EbX = 300 meV. Interestingly, we observe two peaks in the photoluminescence spectra at room temperature on both sides of the excitonic absorption energy. Because EbX (300 meV) ≫ effective phonon energy (36 meV), the phonon-mediated relaxation of carriers from conduction band minimum to the excitonic state is suppressed to an extent. Consequently, two photoluminescence peaks related to both the bul.
Leymann Inventory of Psychological Terror Scale: Development and Validation for Portuguese Accounting Professionals

This research aims to adapt the Leymann Inventory of Psychological Terror and its use on Portuguese Accounting Professionals. Leymann scale was applied in a final sample of 478 accountants aged between 28 and 68, of which 47.5% were men and 52.5% women. We used a quantitative methodology by applying a questionnaire survey whose results were, in the following research phase, analyzed using the statistical packages SPSS 26 and AMOS 27. We used SPSS 26 for the Descriptive Statistical Analysis and AMOS 27 to estimate the structural equation model that validated the scale. After the scale had been adapted and changed, it was validated in psychometric terms to be applied to and used in studies involving this type of professionals. The Accountants Leymann Inventory of Psychological Terror that resulted from adapting the original model was tested using structural equation modelling. Thus, the new scale produced significant results similar to those of the original scale, which means that it is valid and can be applied to other contexts. The validity and statistical reliability of the new scale made it possible to measure mobbing problems among accounting professionals reliably and robustly. The present research is an important contribution to the literature. Although it has been applied in several contexts, it is the first time it is being developed, adapted, and validated for accounting professionals who work in this area of management.
Modern Mathematics Applications: Solutions to Challenges Encountered in Teaching Spiral Progression in Mathematics 7

The purpose of this research is to investigate the modern math applications that can address the challenges encountered by 21 seasoned teachers in teaching Spiral Progression in Mathematics 7. Basic qualitative research was used in this study. The interview was done during the one-week seminar training in the application of different math applications to the classroom setting. The teacher participants mentioned that they found difficulty in making power-point presentations in basic constructions in Geometry. They said that set and union set are their difficulties since they find complications in looking for figures, and illustrations that needed to present in the class. They added that it’s hard for them to use modern technologies on sets because of the excessive board work. As to Patterns and Algebra, all 21 teacher participants mentioned that the topics that hard to be applied with modern technologies were irrational numbers, solving problems in linear equations, operation on polynomials and inequalities, and fundamental operations on algebraic expressions. In addition, the teachers mentioned that they find difficulty integrating technologies on topics in Algebra especially word problems. The master teacher participants advised the seasoned teachers to use platforms such as Desmos and Khan Academy to address their challenges. These are web-based graphing calculators that include basic construction in Geometry. In Patterns and Algebra, the master teachers instructed the seasoned teachers to venture on using my script calculator, lecture notes, and photomath. According to them, these math apps can aid the teachers and students in solving linear equations, inequations, etc.
Multimodality and translanguaging in negotiation of meaning

Given the wide ‐ spread use of video calls and the affordances the medium provides for foreign language learning and, specifically, for oral interaction, how do learners manage the use of multimodal and multilingual elements in oral interactive tasks? Do multimodality and linguistic repertoires aid comprehension and enhance the meaning negotiation process? Abstract The present study examines the role that multimodality and translanguaging play in scaffolding oral interactions during language ‐ related episodes (LREs) involving meaning negotiation. The oral tasks carried out using synchronous video ‐ based computer ‐ mediated communication were part of a tandem virtual exchange (Spain, Canada). The participants, 18 dyads of English and Spanish college ‐ level learners, conducted three oral interaction tasks in pairs online. LREs were identified and transcribed and data were analyzed quantitatively and qualitatively, including all instances of translanguaging and uses of multiple modes of meaning ‐ making. Quantitative data revealed that translanguaging involved not only English and Spanish, but also other shared languages and occurred mostly during meaning negotiation. Additionally, the use of multimodal elements, including gestures, postures, gaze, multiple digital and physical devices (mobile devices, computers, props, notes) was examined. Qualitative data analyses revealed the interplay between multimodality and learners ’ multilingual repertoires which reinforced and complemented meaning ‐ making during these episodes.
Penerapan Model Unified Theory Of Acceptence And Use Of Technology (UTAUT 2) Terhadap Perilaku Pelanggan E-Commerce Shopee Indonesia Di Kota Palembang

The developing of marketplace makes many changes in commerce. Start from conventional way and now become online shopping. One of the biggest marketplace in Indonesia is Shopee. Due to the massive electronic commerce activity, this study aimed to know the factor that influenced behavioral intention and use behavior of shopee’s user. This study adopted UTAUT 2 model which has seven variables; performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivations, price value and habit also moderated by age, gender and experience. The analysis of the model was conducted by using SEM-PLS method and analysed with SmartPLS 3. The data of this study was collected by using questionnaire and designed only for Shopee user who stayed in Palembang. The result show if behavioral intention influenced by social influence with T value is 1.985, P value is 0.048 and F square is 0.105 and also influenced by habit with T value is 4.755, P value is 0,000 and F square is 0,512 which achieved the standart value in this study. In other side, this study show if use behavioral influenced by facilitating condition with 2.762 T value , 0,006 P value and 0,140 F square.
Triple-Band Uniform Circular Array Antenna for a Multi-Functional Radar System

A phased array radar has been developed toward an effective means for integrating multiple functionalities into one radar platform. The radar system necessitates the ability to operate at multiple frequencies simultaneously. In this paper, a triple-band uniform radial sub-array using a shared aperture antenna is proposed for a multi-functional radar system. An efficient placement of different radiating elements is realized based on the radial displacement of the circular array. In addition, multi-layer feed networks are used to reduce the intricacy of integrating several feed networks into one antenna. The reasonable matching characteristics and far-field gain are acquired at the S-band, C-band, and X-band. The measured results of the prototype are presented, and the results are compared to the simulation, which showed a good agreement.
Survey of Traffic Classification Solution in IoT Networks

The Internet of Things (IoT) is creating a new evolution in the present and future Internet. The idea of IoT is to establish transmission capacities using a ubiquitous, distributed and diverse gadgets network. The rapid growth of the IoT makes the incorporation and connection of several devices a predominant procedure. The increasing numbers of IoT devices and diverse IoT traffic patterns has created the need for traffic classification methods to provide solutions for IoT applications’issues. Although it has been presented in many papers and surveys, network traffic classification is still undeveloped well in IoT because of the variations in traffic classifications in IoT and NonIoT gadgets. This paper discusses the arising patterns of IoT network traffic classifications and putting them in practical use. It also presents an overview of traditional traffic classification methods, as well as a discussion with a categorization.This paper evaluated the performance metrics such as accuracy, recall, precision and F1 score for these Machine Learning algorithms: Decision Tree (DT), K-Nearest Neighbors (K-NN), Naïve Bayes (NB) and Gradient Boosting (GRB) classifiers. The analysis of normal and attack traffic is done by using WEKA software tools and by utilizing the BoT-IoT dataset [1].
VehicleEIDS: A Novel External Intrusion Detection System Based on Vehicle Voltage Signals

Intelligent and connected vehicles (ICVs) have become the mainstream in the development of automobile industry. Many emerging technologies have been proposed to provide users with comfortable and convenient driving experience. However, even though these technologies significantly improve the quality of service, some of the communication interfaces they used are vulnerable and easily attacked. Note that although many malicious attacks can be carried out in various ways, their final step must be in the in-vehicle network, i.e., the controller area network (CAN) bus. In order to protect the security of the CAN bus, it is of great importance to design an intrusion detection system (IDS), which can monitor the message transmission in real time. In this article, we design a novel external IDS based on vehicle voltage signals, named VehicleEIDS. It does not occupy the bandwidth or computing resources of the CAN bus and maintains the original CAN bus protocol as well. The system can be directly installed in the automobile gateway to monitor the external intrusion, and can be connected to the CAN bus as an independent external device to protect the automobile security. In addition, VehicleEIDS is robust against the factors of vehicle status, the number of attacking electronic control units (ECUs), and the sending frequency of attack data. It is only related to the voltage signals of external intrusion device. Once external intrusion devices send attack data to the CAN bus, VehicleEIDS can quickly identify its abnormal voltage signals, with the accuracy of more than 97%.
Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

It is a well–known fact that heavy metal pollution in sediments causes serious problems not only in the Danube basin, but also in the large and small adjacent river streams. A suitable method for assessing the level of heavy metals and their toxicity in sediments is the calculation of pollution indices. The present research aims to assess heavy metal pollution in the Lower Danube surface sediments collected along the Danube course (between 180 and 60 km) up to the point where the Danube River flows into the Danube Delta Biosphere Reserve (a United Nations Educational, Scientific and Cultural Organization—UNESCO, protected area). In addition, this monitored area is one of the largest European hydrographic basins. Five heavy metals (Cd, Ni, Zn, Pb, Cu) were analyzed in two different seasons, i.e., the autumn of 2018 and the spring of 2019, using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Our assessment of heavy metal pollution revealed two correlated aspects: 1. a determination of the potential risks of heavy metals in sediments by calculating the Potential Ecological Risk Index (RI), and 2. an evaluation of the influence of anthropogenic activities on the level of heavy metal contamination in the surface sediments, using three specific pollution indices, namely, the Geo–Accumulation Index (Igeo), the Contamination Factor (CF), and the Pollution Load Index (PLI). The results of this pioneering research activity in the region highlighted the presence of moderate metal (Ni and Cd) pollution and a low potential ecological risk for the aquatic environment.
Interactions between Tandem Cylinders in an Open Channel: Impact on Mean and Turbulent Flow Characteristics

The flow hydrodynamics around a single cylinder differ significantly from the flow fields around two cylinders in a tandem or side-by-side arrangement. In this study, the experimental results on the mean and turbulence characteristics of flow generated by a pair of cylinders placed in tandem in an open-channel flume are presented. An acoustic Doppler velocimeter (ADV) was used to measure the instantaneous three-dimensional velocity components. This study investigated the effect of cylinder spacing at 3D, 6D, and 9D (center to center) distances on the mean and turbulent flow profiles and the distribution of near-bed shear stress behind the tandem cylinders in the plane of symmetry, where D is the cylinder diameter. The results revealed that the downstream cylinder influenced the flow development between cylinders (i.e., midstream) with 3D, 6D, and 9D spacing. However, the downstream cylinder controlled the flow recirculation length midstream for the 3D distance and showed zero interruption in the 6D and 9D distances. The peak of the turbulent metrics generally occurred near the end of the recirculation zone in all scenarios.
PSCSC-Net: A Deep Coupled Convolutional Sparse Coding Network for Pansharpening

Given a low-resolution multispectral (MS) image and a high-resolution panchromatic image, the task of pansharpening is to generate a high-resolution MS image. Deep learning (DL)-based methods receive extensive attention recently. Different from the existing DL-based methods, this article proposes a novel deep neural network for pansharpening inspired by the learned iterative soft thresholding algorithm. First, a coupled convolutional sparse coding-based pansharpening (PSCSC) model and related traditional optimization algorithm are proposed. Then, following the procedures of traditional algorithm for solving PSCSC, an interpretable end-to-end deep pansharpening network is developed using a deep unfolding strategy. The designed deep architecture can also be understood in the view of details injection (DI)-based scheme. This work offers a solution that integrates the DL-, DI-, and variational optimization-based schemes into a framework. The experimental results on the reduced- and full-scale datasets demonstrate that the proposed deep pansharpening network outperforms popular traditional methods and some current DL-based methods.
Numerical modeling of the contact effect on the parameters of cracking in a 2D Fatigue Fretting Model

The objective of this work is to study the effects of contact parameters on the cracking parameters of a specimen and a pad assembly. These parameters have been studied and evaluated by the finite element method analysis in two dimensions fretting fatigue model through the Abaqus calculation code. Different values ​​of the coefficient of friction of 0.1, 0.3 and 0.6 were applied on the various lengths in contact for a = 0.1, 0.5 and 1mm. Thus, on the various values ​​of angle of orientation of the crack equal to 15 °, 30 ° and 45 °. In addition, elements of the type (CPE4R) and the criterion of maximum tangential stress were applied. The curves of the crack parameters such as the SIF coefficients and the integral J were obtained and discussed.
Digital behavioral technology, vulnerability and justice: towards an integrated approach

ABSTRACT The paper introduces the notion of ‘digital behavioral technologies’ and discusses them from the perspectives of vulnerability and justice, thereby integrating perspectives from bioethics or public health ethics and political philosophy. Digital behavioral technologies have seen a massive uptake in recent years, but the market for them is hardly regulated. We argue that understanding the impact of digital behavioral technologies requires understanding individuals not as abstract, atomized agents, but rather to take their embeddedness into social structures into account. This also allows extending the focus to groups, relationships and whole societies, which are often structurally unjust. This perspective provides a corrective to an overly individualistic consideration of digital behavioral technologies, which may suggest itself because of their focus on individual bodies. We point out some implications of this integrated approach with regard to the regulation of digital behavioral technologies. We conclude by describing some implications both for those who work on digital behavioral technologies and for those who work on questions of vulnerability and justice.
Clinical pathological analysis of newly diagnosed malignant pelvic tumors during pregnancy

Background This study sought to investigate the pathological and clinical characteristics of newly developed malignant pelvic tumors during pregnancy. Methods A retrospective analysis was conducted of 20 patients with newly developed malignant pelvic tumors during pregnancy who were admitted to hospital from January 1, 2012 to March 31, 2020. The patients were grouped according to the histological tumor source, evaluated using a chi-square test and Kaplan-Meier analysis, and their clinical and pathological characteristics were examined. Results Of the 20 patients, 14 had primary tumors and 6 had metastatic tumors. The average age of the patients in the metastatic tumor group was higher than that of patients in the primary tumor group (P=0.038). Notably, patients in both groups were at an advanced tumor stage when they were diagnosed. A significant difference between the 2 groups (P<0.001) was found in the clinical presents and the outcomes. The survival rates of the 2 groups differed significantly (P<0.001). Patients in the primary tumor group all survived without tumors. Conversely, only 1 patient in the metastatic tumor group survived without a tumor during the follow-up period, and 5 patients in this group did not survive. The metastatic rates of the examined placentas were 1/6 and 3/5 for the primary and metastatic tumor groups, respectively (P=0.545). The histological distribution of the newly developed malignant pelvic tumors during pregnancy was diverse, and different to those in the non-pregnancy period. Additionally, 6 patients had metastatic tumors, and the proportion of metastatic tumors was significantly higher than that of non-pregnancy patients (P<0.001; 3.53% vs. 30%). Of the 8 patients with primary ovarian tumors, 5 had borderline tumors (62.5%), and the proportion of borderline tumors was significantly higher than that of non-pregnant patients (9.61% vs. 5/8) in the same period. Conclusions Newly diagnosed malignant pelvic tumors during pregnancy were different from the non-pregnant in the tissue origin, pathological grade, clinical presenting, and outcomes. The metastatic tumors pose a serious threat to the lives and health of pregnant women
Design and Optimization of a Curved-Crease-Folding Process Applied to a Light Metallic Structure

Presently, the realization of complex, unconventional designs using efficient modalities is possible due to an increasing interest in interdisciplinary approaches: materials science, mathematics, IT, architecture, etc. Computerized techniques, among which the algorithmic/generative design is the most advanced one, that are associated with the individualized production methods are used for finding solutions for modern spatial forms with an unconventional spatial geometric shape, which are generically called “free-forms”. This work presents the design, realization and testing of a thin-walled metallic structure proposed as a light structural unit. An integrated research approach was proposed that utilized an algorithmic/digital design applied to the curved-crease-folding method with the study (at different length scales) of the metallic material behaviour after folding. An original method was proposed for the digital design and simulations. The specific mechanical behaviour of the metallic material in the elastic–plastic regime was used in this case to improve the structural performances; mechanical and structural tests were realized to analyse the behaviour of the entire structure. The results are useful for enhancing the accuracy of the digital design, the structural simulation programs and the fabrication methods.