Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotional Intelligence And Personal Demographic Profile Of Students In Kosovo

Emotion is an essential element of one’s personality and also of life. Both in personal and professional survival, emotional intelligence plays an important role. In recent years, the concept of Emotional Intelligence (EI) has become a very popular parameter of knowledge, skills and abilities of a person in the office, profession, school, personal life and overall success. Purpose: The present research study focused to analyze the differences among demographic variables namely gender, age, locality (urban-rural), level of education and field of study on emotional intelligence. Methods: The research was conducted in Prishtine- Kosovo, the sample in our case consists of students at ‘’Hasan Prishtina’’ University. The questionnaire for measuring emotional intelligence is the self-report emotional intelligence test Schutte et al., (1998) (SSEIT) and demographic variables. A random representative sample was taken from all faculties selecting 193 persons as participants 129(66.8%) female and 64(33.2%) male. Results: The data were analyzed using the SPSS statistical package. Kruskal-Wallis H test shows that there is a statistically significant difference in the result, χ2 (2) = 18.174, p = . 001, thus sending to the highest category of emotional intelligence in the category of 22-25 years old. It has also been seen that there are gender differences in the level of emotional intelligence. As for the field of study, it can be seen that there are significant differences in the level of EI where the data from the social sciences showed a higher average compared to the directions of natural sciences and the difference was (z = -3.256, p = 0.01). Conclusion: From the results of the research we conclude that emotional intelligence differs in terms of gender, age and field of study among students in Kosovo. In the future it would be good to review other influential variables, such as personality, the average of academic grade, and for samples to be more comprehensive, from all public and private universities in Kosovo
Development of new configurations of BAW composite filter structures

A simple matrix approach to the calculation of multilayered BAW resonators and filters has been developed. Expressions for matrix elements connecting electrical and mechanical characteristics of piezoelectric layers have been obtained. A special case of piezoelectric semiconductor layer has been considered. The possibility of electronic gain in a filter structure has been shown.
Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network

In this study, we present a systematic scheme to identify the material parameters in constitutive model of hyperelastic materials such as rubber. This approach is proposed based on the combined use of general regression neural network, experimental data and finite element analysis. In detail, the finite element analysis is carried out to provide the learning samples of GRNN model, while the results observed from the uniaxial tensile test is set as the target value of GRNN model. A problem involving parameters identification of silicone rubber material is described for validation. The results show that the proposed GRNN-based approach has the characteristics of high universality and good precision, and can be extended to parameters identification of complex rubber-like hyperelastic material constitutive.
SOCRATES-progress towards commercial implementation

During the DRIVE 1 and DRIVE 2 programmes, the SOCRATES research projects developed the concept of using cellular radio for providing digital data into on-board computers to provide a range of applications, including dynamic route guidance and emergency call. The major achievements during DRIVE 2 provided the foundations upon which commercial services can be established. They include; the formulation of a commercial framework for SOCRATES services and an analysis of the SOCRATES business case; the promotion of the General Packet Radio Service in the GSM specification to include SOCRATES requirements; the publishing of the SOCRATES Application Data Protocol and its acceptance as the basis for a draft standard by CEN Technical Committee 278 Working Group 4.3. This paper presents a review of the DRIVE II SOCRATES projects, identifies some of the research topics which are still being addressed in the development of SOCRATES systems and services, and describes the way in which these topics are being included in the European Union Fourth Framework Programme. It also describes plans for the commercial implementation of SOCRATES services, the way in which these are integrated with other transport telematics applications, and the prospects for widespread implementation of advanced transport telematics (ATT) services based on cellular radio.
High-power single-chip GaN-based white LED with 3058 lm

A high-power phosphor-converted white LED with 3058 lm is reported. The high-power white LED was manufactured by utilising a single-blue LED chip with a cerium-doped yttrium aluminium garnet phosphor crystal film, and the LED chip consists of 16 LED cells that are connected in series, the chip dimensions are of 4.5 x 4.5 mm(2). The electrical and optical characteristics of the LED were measured up to a 500 mA injection current under direct operation conditions. Results show that the luminous flux and luminous efficacy at 500 mA reach to 3058 lm and 128 lm/W, respectively.
Natural Regeneration of Scots Pine Requires the Application of Silvicultural Treatments such as Overstorey Density Regulation and Soil Preparation

Current management strategies for European Scots pine (Pinus sylvestris L.) forests are oriented towards the use of natural regeneration processes. They aim to maintain continuity of stand structure by preserving seed-producing and shelter trees at varying densities. Soil scarification techniques may be employed to support the natural regeneration of pine. Our study is based on data from seven study sites in the German lowlands, where the basal areas of the overstorey pine trees varied between 4 and 21 m2/ha. The soil scarification methods ranged from full surface ploughing by tractor or horse through small-scale scarification by cultivators to sites without soil scarification. Differences in the densities, spatial distributions, age structures, and above-ground development of pine seedlings were evaluated. We analysed the spatial interactions between overstorey pine trees and the densities of naturally regenerated pine seedlings as a function of the microsite types using the multitype Strauss hard-core process (MSH) method. The results show a significant decrease in height growth with increasing stand density after a period of 5 years, with seedling density and spatial patterns strongly influenced by soil scarification. The MSH pairwise interaction analyses revealed significant negative effects on seedling densities based on combinations of microsites and overstorey trees.
Beyond the BMI: Validity and Practicality of Postpartum Body Composition Assessment Methods during Lactation: A Scoping Review

The assessment of body composition during lactation is an important indicator of maternal nutritional status, which is central to the overall health of the mother and child. The lactating woman’s nutritional status potentially impacts on breastmilk composition and the process of lactation itself. The purpose of this scoping review was to synthesize comparative studies that sought to validate various body composition assessment techniques for use in lactating women in the postpartum period. Using the PRISMA-ScR guidelines, a comprehensive, systematic literature search was conducted using Scopus, Web of Science, and PubMed. Eight comparative studies were included in the review, with data from 320 postpartum women. The design methodologies varied substantially across studies, and included a range of simple techniques to advanced multi-compartment models for assessing body composition. The validity and reliability of measurement tools must be considered alongside issues of safety, practicality, and appropriateness to guide the research design when applied to lactating women.
Board Heterogeneity, Corporate Diversification and Firm Performance

While board heterogeneity would lead to higher decision quality due to the interaction of multiple perspectives, experiences, and behaviors, heterogeneity can also result in inefficiencies in board's strategic decision-making processes. Our empirical investigation using a sample of 313 Fortune 1000 firms reveals that task-related heterogeneity in board tenure and functional experience contribute to firm performance as corporations are engaged in higher levels of unrelated diversification. Other nontask-related heterogeneity dimensions such as age and educational background have little impact on firm performance in the strategic context of unrelated diversification. The results emphasize the importance of fit between board heterogeneity and strategic context of the corporation.
Evaluation of Th17 and Treg cytokines in patients with unexplained recurrent pregnancy loss

Background and Aim: The Th17/Treg balance in peripheral blood and reproductive tissues may have a role in the etiology of unexplained recurrent pregnancy loss (URPL). In this study, we evaluated the major cytokine of Treg cells transforming growth factor-beta (TGF-β), and their specific transcription factor Forkhead box P3 (FOXP3), as well as the most highlighted cytokine of Th17 cells (interleukin [IL]-17A) in both URPL patients and healthy women. Methods: Samples were extracted from the peripheral blood, endocervix, endometrium, and vagina of 14 patients with URPL and 12 normal non-pregnant women as a control (normal) group. Quantitative reverse transcription polymerase chain reaction was used to determine gene expression. Enzyme-linked immunosorbent assay was used to determine the levels of cytokines in the serum and cervicovaginal fluid. Results: We found that in the URPL group, FOXP3 gene expression was considerably higher in peripheral blood than in the normal group (P=0.043). TGF-β levels in the cervicovaginal fluid were different in the URPL and normal groups (P=0.015). In comparison to the control group, women with URPL had significantly greater IL-17 gene expression in the peripheral blood (P=0.01). Conclusion: Lower TGF-β levels in the cervicovaginal fluid of patients compared to controls may be related with increased IL-17 and FOXP3 mRNA levels in patients with URPL. Dysregulation of local immune responses in reproductive tissues may represent dysregulation of systemic regulatory immunological responses in the pathogenesis of URPL. Relevance for Patients: Dysregulation of immune responses may play a role in the pathogenesis of URPL at least in some patients with URPL. We conclude that the breakdown of tolerance in the local immune responses is more critical than the breakdown of tolerance in systemic tolerance in the pathogenesis of URPL. Therefore, modulating immune responses in the endometrium and decidua may be the focus of future therapeutic approaches in URPL. The impact of seminal plasma on the expansion of Tregs may provide a novel therapeutic intervention that has already been used in assisted reproductive technologies. Therefore, we suggest that transvaginal TGF-β in women with URPL may induce maternal tolerance which leads to the successful pregnancy.
Enhancing Student Employability in Collaboration with the Industry: Case Study of a Partnership with Amazon Web Services Academy

The continuous increase in tuition fees in high education in many countries requires justification by the university authorities of what students receive from them in return. One of the key factors of student recruitment is values for money and quality learning experiences including hands-on industry training that can guarantee immediate employment for the graduates. This article describes redesigning the curriculum of a cloud computing undergraduate module in collaboration with Amazon Web Services (AWS) Academy. Industry-based practical hands-on labs were incorporated into this module for engineering students to improve their practical knowledge and skills related to the Internet of Things. Through an innovative approach, this practitioner research introduces industry best practices and hands-on labs in cloud computing. In this approach, academic theories were incorporated in cloud computing with their applications through industry attachment. It enables students to have both the theoretical and practical knowledge and skills for ensuring their careers in the field of cloud computing. The study finds that students tend to be more engaged and learn better when theoretical knowledge and understanding are combined with real-world applications through the attachment with the industry.
An efficient multilevel security architecture for blockchain-based IoT networks using principles of cellular automata

The tremendous increase in the use of Internet of Things (IoT) has made an impact worldwide by changing the mode of day-to-day life. Like any other application, IoT based networks also have to be protected since the data produced consist of sensitive information. Existing algorithms for providing security in such networks do not consider all the security objectives. Starting from the sensing of data from IoT environment, the data have to be protected from several types of attacks. Also, the authentication of involved entities, integrity of data, access control and confidentiality are to be achieved. This work proposes a novel security architecture for IoT based distributed applications. The architecture uses the best known lightweight cipher ChaCha20. Principles of cellular automata are applied for random number generation to attain more security and randomness. Double encryption ensures multilevel protection of data during the data uploading and storing phases. Providing encryption based on dynamic session keys guarantees the security of the method. It also ensures secure data sharing, mutual authentication between communicating entities, fast execution, user authentication and message integrity. The IoT device connected to a gateway node has to complete registration phase successfully. Subsequently, each time a data transfer between the device and gateway node takes place, mutual authentication phase is executed. Blockchain network used at the edge level ensures authentication of participating nodes and hence, unintended modification of data is prevented. The proposed architecture proves to be efficient in terms of throughput, execution time and resistance to various security attacks.
Single-Feed Multibeam Conformal Transmitarrays With Phase and Amplitude Modulations

Single-feed multibeam conformal transmitarrays using a superposition method are presented in this letter. The arrays consist of ultrathin Huygens elements with independent amplitude and phase manipulations. Three cylindrical conformal transmitarrays with dual-beam radiation patterns are designed at 10 GHz, producing dual beams at ±30°, +30°, and −20°, +30° and −10°, respectively. As an experimental validation, the prototype with symmetrical dual beams is fabricated and measured. Two beams at +29° and −28° along the H-plane are achieved with a measured 18.29 dBi peak gain. The gain difference between the two beams is 0.13 dB. Good agreement between simulation and measurement is observed.
The politics of the internet and social media in Africa: three bases of knowledge for advancing research

ABSTRACT Researchers are studying a range of questions relating to the impact of social media in Africa, particularly in light of the rise of fake news, internet and social media shutdowns, and violence against activists posting critical content online. Other researchers, however, argue that some more fundamental issues need to be examined, such as who is using social media and how this influences politics. This research note examines the evolution of research on the politics of internet and social media in Africa and argues that three bases of knowledge must be prioritized in future research. These are the physical character of the internet networks, the meaning of internet and social media access, and the characteristics of users and their engagement or disengagement. These arguments are supported by primary and secondary data collected through field research in Uganda and Tanzania.
A Partnership-Based Approach to Operationalizing Learning Behaviours Using Event Data

This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6–12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and summative assessments. To develop various indicators, the collaboration gathered school practitioners’ perspectives on desirable and undesirable student actions within and across playlists, jointly explored and made sense of LMS data, and examined the relationships between behavioural indicators and outcomes that were important to practitioners. The approach described in this paper is intended to provide an example for future researcher–practitioner collaborations to build upon when seeking to jointly analyze data from digital learning environments. The widespread use of playlists and LMSs in K–12 schools throughout the United States means that the collaborative process described in this paper may have broad applicability to large numbers of digital environments, schools, and collaborations.
Neutrophil extracellular traps mediate m6A modification and regulates sepsis-associated acute lung injury by activating ferroptosis in alveolar epithelial cells

Neutrophil extracellular traps (NETs) production is a major strategy employed by polymorphonuclear neutrophils (PMNs) to fight against microbes. NETs have been implicated in the pathogenesis of various lung injuries, although few studies have explored NETs in sepsis-associated acute lung injury (SI-ALI). Here, we demonstrate a major contribution of NETs to the pathology of sepsis-associated ALI by inducing ferroptosis of alveolar epithelial cells. Using both in vitro and in vivo studies, our findings show enhanced NETs accumulation in sepsis-associated ALI patients and mice, as well as the closely related upregulation of ferroptosis, the induction of which depends on METTL3-induced m6A modification of GPX4. Using a CLP-induced sepsis-associated ALI mouse model established with METTL3-/- versus WT mice, in addition to METTL3 knockout and overexpression in vitro, we elucidated and confirmed the critical role of ferroptosis in NETs-induced ALI. These findings support a role for NETs-induced METTL3 modification and the subsequent induction of ferroptosis in the pathogenesis of sepsis-associated ALI.
Legal Actions of Terrorism Case in Central Sulawesi

This study focused on the legal action of terrorism cases in Poso, Central Sulawesi. The focus of the analysis is to accentuate the contents of the legislation related to the legal handling of terrorism cases in Central Sulawesi. Thus, the study was carried out through statute, comparative law and conceptual approach, as well as using qualitative data analysis method. Data were processed by first describing all the legal materials that had been collected through inventory, identification, classification and systematization according to the problems in this study. Material reconstruction was next, including rearranging legal materials sequentially and logically. The last step was analyzing legal materials systematically based on the sequence of problems. National and global scale terrorism groups have well understood the consequences and legal actions of terror acts. The maximum, multiple layers of punishment have been stated in Law No. 15 of 2003 concerning the Eradication of Criminal Acts of Terrorism as an effort by the Indonesian government to suppress the movement of terrorism groups. The legal action process, especially in the Santoso’ Group, is based on Law no. 15 of 2003 with a sentence of 6 to 15 years in prison and a 6 (six) months subsidiary confinement with reference to the Theory of Retribution and Prevention.
Assessing the impact of special economic zones on regional growth through a comparison among EU countries

ABSTRACT The establishment of incentive zones represents a cluster policy approach that a country can implement to boost economic growth. Being influenced by regional characteristics, the success of specific incentive types (special economic zones, free-trade zones, free zones) may vary considerably. By using a new composite indicator, differently designed according to each type of development plan, this study analyses 51 European incentive zones so as to identify best practices. Moreover, propensity score matching allows the net impact of the industrial policy to be assessed. The findings show significant positive results achieved by the various industrial policy instruments with differing levels of success.
Vector control of an open-ended winding induction machine based on a two-output indirect matrix converter

Abstract The open-ended winding induction machine fed from a standard two-level Voltage Source Inverter (VSI) arrangement is an attractive solution for AC drives. An alternative power converter approach is to use an Indirect Matrix Converter (IMC) consisting of a matrix converter AC–DC input stage and two VSI output stages. This latter topology provides fully bidirectional power flow operation and requires only a small input filter. In this paper, a vector control strategy for an open-ended winding cage induction machine fed by a two-output IMC is presented. The modulation scheme for the input power converter stage aims to modify the virtual DC link voltage depending on the load voltage requirement. Additionally, the modulation strategy for the dual-inverter output aims to eliminate the zero sequence voltage applied to the load. A vector control scheme is used and the full system is modelled using a PSIM and MATLAB/Simulink platform. Experimental results from a 7.5 kW prototype are presented, demonstrating the feasibility of the topology and control strategy.
Implementation on Secure Storage for Cloud with Duplication Checking

– Cloud computing provides computer resources to consumers as a utility on demand over the Internet, and it now plays a large role in the commercial domain. Cloud storage has become one of the most popular services provided by cloud computing. Customers profit the most from cloud storage since they may save money on storage equipment purchases and maintenance by just paying for the quantity of storage they use, which can be scaled up and down based on demand. With the growing quantity of data in cloud computing, a reduction in data volumes could help providers save money by cutting the expenses of running large storage systems and conserving energy. As a result, in order to improve storage efficiency, data DE duplication techniques have been employed in cloud storage. Data usage in the cloud fluctuates over time due to the dynamic nature of data in cloud storage. Some data pieces, for example, may be retrieved often one time but not the next. Some datasets are often seen or modified by multiple people at the same time, while others require a high level of redundancy to maintain stability. As a result, having this dynamic functionality in cloud storage is crucial. On the other hand, current solutions are primarily focused on a static scheme, limiting their full applicability in the dynamic nature of data in cloud storage. For cloud storage, we offer a dynamic DE duplication approach. in this research, with the goal of increasing storage economy while maintaining redundancy for fault tolerance