Miracle-dz/UniFAR-FTUs huggingface dataset:
Involvement in LGBQ Activism is Related to Pathological Narcissistic Grandiosity and Virtue Signaling

The dark-ego-vehicle principle (DEVP) states that individuals with dark personalities (e.g., narcissistic individuals) are attracted to types of political activism that they can repurpose for satisfying their ego-focused needs (e.g., being perceived as virtuously outstanding). In the current pre-registered study, we investigated whether the DEVP is valid for lesbian, gay, bisexual, and queer (LGBQ) activism. A diverse US sample ( N = 446) completed measures of involvement in LGBQ activism, pathological narcissism, altruism, virtue signaling, dominance, and the Dark Tetrad. In support of the DEVP, we found that higher pathological narcissistic grandiosity and more pronounced virtue signaling were related to greater involvement in LGBQ activism. Through exploratory analyses, we also found that even psychopathy may play a role with regard to involvement in LGBQ activism. Responding to feedback on our study, we supplemented the original data collection with a pre-registered follow-up measurement of involvement in LGBQ activism 14–15 weeks later. Repeating the analyses using this new data did not change the findings.
WAGE RETURNS TO EDUCATION BY GENDER: A COMPARATIVE ANALYSIS BY EDUCATIONAL LEVEL IN SENEGAL RENDEMENT SALARIAL DE L'ÉDUCATION SELON LE GENRE : UNE ANALYSE COMPARATIVE PAR NIVEAU D'ÉDUCATION AU SÉNÉGAL Mamaye THIONGANE

The purpose of this paper is to assess the return to education of different levels by gender in Senegal. In order to correct the potential existence of selection bias, Heckman's two-step approach will be used. Data from the 2015 ENES are used for econometric estimation. The first stage of Heckman shows that education levels play a key role in gender-specific labour market participation. For the second stage of Heckman, the results show that the return of education is higher at the higher level. This paper shows that when selection bias is corrected, the return of the higher level exceeds 20% for both men and women. The policy recommendation from this paper are the need to keep girls up to the university level and initiatives to fight against stereotypes about people with disabilities.
Study of Barium Adsorption from Aqueous Solutions Using Copper Ferrite and Copper Ferrite/rGO Magnetic Adsorbents

The development of advanced materials for the removal of heavy metal ions is a never-ending quest of environmental remediation. In this study, a facile and cost-effective approach was employed to synthesize copper ferrite (CF) and copper ferrite/reduced graphene oxide (CG) by microwave assisted combustion method for potential removal of barium ions from aqueous medium. The physiochemical characterizations indicated the formation of magnetic nanocomposite with an average crystallite size of CF and CG is 32.4 and 30.3 nm and with specific surface area of 0.66 and 5.74 m2/g. The magnetic results possess multidomain microstructures with saturation magnetization of 37.11 and 33.84 emu/g for CF and CG. The adsorption studies prove that upon addition of rGO on the spherical spinel ferrite, the adsorption performance was greatly improved for CG nanocomposite when compared with the bare CF nanoparticles. The proposed magnetic adsorbent demonstrated a relatively high Ba2+ adsorption capacity of 161.6 mg·g-1 for CG nanocomposite when compared to 86.6 mg·g-1 for CF nanoparticles under optimum conditions ( pH = 7 ; T = 25 ° C ). The pseudo-first-order (PFO), pseudo-second-order (PSO), and Elovich models were fitted to the kinetic data, the yielded R 2 value of 0.9993 (PSO) for CF and 0.9994 (PSO) for CG which is greater than the other two models, which signify that the adsorption process is chemisorption. Thermodynamic studies show that barium adsorption using CF and CG adsorbents is endothermic. The as-fabricated CuFe2O4/rGO nanocomposite represents a propitious candidate for the removal of heavy metal ions from aqueous solutions.
Exploring Impact of Quality Accreditation on Studentsâ€™ Interests in Islamic Higher Education

This study aims to map and analyze studentsâ€™ interests before and after study program accreditation, the effect of accreditation grade, and attempt to increase the value of accreditation. This study employed a mixed-methods approach with a sample of 218 participants for quantitative data and ten informants for qualitative data. The data were collected by using interviews, focus group discussion, observation, and questionnaires. To analyze the data, triangulation is performed to display the frequency distribution, and simple regression analysis is also carried out to find the data related to the effect of the accreditation. Study results expose that firstly, there was a significant improvement in the studentsâ€™ interest after study program accreditation with an average of 87.5%. Secondly, the accreditation grade gave a positive and significant effect on studentsâ€™ interest in choosing study programs at a public Islamic university in West Papua, Indonesia. Lastly, there were several endeavors taken into account to increase accreditation score, i.e. synergizing an integrated internal quality assurance system, having an acceleration program for studentsâ€™ length of study, digitizing studentsâ€™ admission system, enhancing digital-based learning models, and increasing lecturersâ€™ competence in academic writing, community service, and publication. The present study suggests that the quality of study program accreditation should be a pivotal concern in organizing Islamic higher education.
Eco-friendly Hospitality in Himalayas: An Investigation on Homestay Services in India

The hospitality sector has been considered as an equal contributor to tourism impacts. As far as the sustainable destination development is concerned, there requires a balanced approach by the authorities for economic benefits and the benefits to the environment. Where the concept of homestays is attaining is popularity among tourists, the realization for its contribution to economic development to the local population is also important along with keeping in view that these hospitality services are aligned with eco-friendly practices, thereby reflecting upon the sustained life of the Himalayan tourism. Hence, the present study was conducted to inspect the part of home stay practices in local socio-economic growth of people and to examine if these practices are aligned with environmental safety. The study has been conducted in various regions of Uttarakhand, Himachal Pradesh and Sikkim. The study revealed a requirement for the awareness and increase in knowledge among the homestay authorities for adopting the sustainable hospitality practices in regular service operations along with considering its benefits for local economic development.
Nonsmooth trust-region algorithm with applications to robust stability of uncertain systems

We propose a bundle trust-region algorithm to minimize locally Lipschitz functions which are potentially nonsmooth and nonconvex. We prove global convergence of our method and show by way of an example that the classical convergence argument in trust-region methods based on the Cauchy point fails in the nonsmooth setting. Our method is tested experimentally on three problems in automatic control.
The geometric sieve and the density of squarefree values of invariant polynomials

We develop a method for determining the density of squarefree values taken by certain multivariate integer polynomials that are invariants for the action of an algebraic group on a vector space. The method is shown to apply to the discriminant polynomials of various prehomogeneous and coregular representations where generic stabilizers are finite. This has applications to a number of arithmetic distribution questions, e.g., to the density of small degree number fields having squarefree discriminant, and the density of certain unramified nonabelian extensions of quadratic fields. In separate works, the method forms an important ingredient in establishing lower bounds on the average orders of Selmer groups of elliptic curves.
Systematic Evaluation and Meta-Analysis of Randomized Controlled Trials of Fire Needle Combined Phototherapy for the Treatment of Vitiligo

This study investigated the fire needle and phototherapy combination for treating vitiligo through a meta-analysis of the published literature. Indeed, vitiligo is a common chronic skin condition characterized by the appearance of white patches. It is the most prevalent disorder, affecting approximately 1% of the global population. There is no known cure or clinical recommendation for treating vitiligo. The majority of medical guidelines suggest vitiligo treatment with the use of fire needles. Here, vitiligo was treated with a novel mechanism combining a fire needle with phototherapy. The handheld phototherapy devices include a fire needle option for disease treatment. Miniature lesions that could be used to detect and treat vitiligo at an early stage could be managed by hybrid-capable devices. The real-time study included more than 3,435 patients. The dosages were altered to control the adverse effects. Following treatment, granulation tissues developed on the injured skin, diminishing the shallow area and wound surface. The case studies demonstrate that combining phototherapy and fire needle therapy is more practical than the other methods.
DETERMINANTS OF GOOGLE MEET ADOPTION DURING THE CORONAVIRUS PANDEMIC IN VIETNAMESE UNIVERSITIES

The Covid-19 epidemic and its derivatives have had a major impact on many parts of social life, including higher education, general education, and primary education. Institutions and universities must sustain remote operations using digital technologies in order to swiftly adjust to the "new normal," which is regarded one of the generally applicable alternatives. The adoption of Google Meet, Zoom, and Microsoft Teams is extensively used in colleges and universities and is considered a significant milestone in communication. Although the use of online methods is projected to have a beneficial impact, there are still obstacles and hurdles in terms of infrastructure, acceptable new regulations, content, digital content, supporting devices, supporting capabilities, and deployment capabilities in digital environments. The study's aim is to discover the factors that influence the use of Google Meet in the educational process and user satisfaction. The tool's validity and reliability were examined using SPSS analysis for exploratory factor analysis (EFA). Factor-based testing using the Varimax rotation, 39 items remained in the questionnaire. Based on the analysis 378 responses, there are 5 factors affecting the use of the Google Meet tool, with the KMO index measuring the appropriateness of the sampling being 0.967; Bartlett's test shows that the Chi-Square Sig index is 0.000 < 0.05. These findings are guidelines for teachers and educators in identifying the factors driving the more effective use of Google Meet in schools.
Brief tutorial on the Kalman filter

Abstract : A derivation of the Kalman filter equations is presented which should provide a concise introduction to Kalman filter theory for scientists, engineers, and mathematicians alike. An elementary derivation of the basic Kalman filter, the 1-step Kalman predictor, is given first in 1-dimension and then in n-dimension. The well known prediction-correction formulation of the Kalman filter equations are derived for the filtered estimate, or current state estimate. Then, the state prediction is obtained from the filtered estimate. It is assumed that the reader has a background in probability theory and some exposure to stochastic processes.
Chern Simons Theory and the volume of 3-manifolds

We give some applications of the Chern Simons gauge theory to the study of the set ${\rm vol}(N,G)$ of volumes of all representations $\rho\co\pi_1N\to G$, where $N$ is a closed oriented three-manifold and $G$ is either ${\rm Iso}_e\t{\rm SL_2(\R)}$, the isometry group of the Seifert geometry, or ${\rm Iso}_+{\Hi}^3$, the orientation preserving isometry group of the hyperbolic 3-space. We focus on three natural questions: (1) How to find non-zero values in ${\rm vol}(N, G)$? or weakly how to find non-zero elements in ${\rm vol}(\t N, G)$ for some finite cover $\t N$ of $N$? (2) Do these volumes satisfy the covering property in the sense of Thurston? (3) What kind of topological information is enclosed in the elements of ${\rm vol}(N, G)$? We determine ${\rm vol}(N, G)$ when $N$ supports the Seifert geometry, and we find some non-zero values in ${\rm vol}(N,G)$ for certain 3-manifolds with non-trivial geometric decomposition for either $G={\rm Iso}_+{\Hi}^3$ or ${\rm Iso}_e\t{\rm SL_2(\R)}$. Moreover we will show that unlike the Gromov simplicial volume, these non-zero elements carry the gluing information between the geometric pieces of $N$. For a large class 3-manifolds $N$, including all rational homology 3-spheres, we prove that $N$ has a positive Gromov simplicial volume iff it admits a finite covering $\t N$ with ${\rm vol}(\t N,{\rm Iso}_+{\Hi}^3)\ne \{0\}$. On the other hand, among such class, there are some $N$ with positive simplicial volume but ${\rm vol}(N,{\rm Iso}_+{\Hi}^3)=\{0\}$, yielding a negative answer to question (2) for hyperbolic volume.
Justice and risk assessment: the subjectivity of pre-emptive screening of radicalisation processes

ABSTRACT In recent years, the fight against (violent) extremism has focused more on anticipating the threats that they pose. Therefore, early detection of undemocratic ideas by local professionals has become an important part of the preventive approach in counter terrorism radicalisation. Frontline workers who operate in the arteries of society are encouraged to identify processes toward violent behaviour at an early stage. To date, however, little is known about how these professionals take on this screening task at their own discretion. The analysis of 55 interviews with youth workers, municipality civil servants, and community police officers, show that they tended to be insufficiently equipped in general to detect radicalisation towards (violent) extremism at the local level in the Netherlands. Firstly, this is due to varying contents and qualities of training courses which are not suited to building up solid expertise. Secondly, and most importantly, the recognising of deviant behaviour is presumably carried out with a one-sided focus on personal norms and values rather than structured judgements about pathways towards risky behaviour. Various value systems seem to influence the norm for early detection, which means that there is, in practice, a lack of clear indicators.
On Cosmic-ray Spectral Studies

Cleaning underlying surfaces, especially irregular surfaces, such as shake roofs, grooved pavements or ramps, and the like. Mobile apparatus under the guidance of an operator brushes the underlying surface and sprays water or other cleaning liquid onto it in a rotating pattern as the operator traverses the apparatus and, thus, the cleaning locus relative to the supporting surface. A "compass point" wheel arrangement enables the apparatus to be positioned with one wheel off the edge of the supporting surface to clean over the edge while maintaining three-point stability, whereas temporary removal of a wheel enables close approach to clean an intersection of the underlying supporting surface and an adjoining wall or other adjacent upright surface.
Radial Basis Functions and Kriging Metamodels for Aerodynamic Optimization

Population-based optimization methods like genetic algorithms and particle swarm optimization are very general and robust but can be costly since they require large number of function evaluations. The costly function evaluations can be replaced by cheaper models which are refered to as surrogate or meta models. Here we consider data-fitting models, particularly radial basis functions and kriging. We study the performance of these interpolation models on some analytical functions and aerodynamic data. Both the models have parameters which must be selected carefully to ensure good accuracy. For RBF, we implement a leave-one-out validation technique and for kriging, the parameters are determined by maximizing the probability density of the available data using a particle swarm optimization. The metamodels are then implemented in the shape optimization platform FAMOSA.
UgChDial: A Uyghur Chat-based Dialogue Corpus for Response Space Classification

In this paper, we introduce a carefully designed and collected language resource: UgChDial – a Uyghur dialogue corpus based on a chatroom environment. The Uyghur Chat-based Dialogue Corpus (UgChDial) is divided into two parts: (1). Two-party dialogues and (2). Multi-party dialogues. We ran a series of 25, 120-minutes each, two-party chat sessions, totaling 7323 turns and 1581 question-response pairs. We created 16 different scenarios and topics to gather these two-party conversations. The multi-party conversations were compiled from chitchats in general channels as well as free chats in topic-oriented public channels, yielding 5588 unique turns and 838 question-response pairs. The initial purpose of this corpus is to study query-response pairs in Uyghur, building on an existing fine-grained response space taxonomy for English. We provide here initial annotation results on the Uyghur response space classification task using UgChDial.
Murottal Sura Al-Fatiha during pregnancy increased the number of neuron cells in the cerebrum and cerebellum of the newborn Rattus Norvegicus

Al-Qur'an verses that are read with correct recitation and tartil have frequencies and wavelengths that can affect the brain with the aim of analyzing differences in the number of neurons in the cerebrum and cerebellum of Rattus norvegicus newborns between exposure to Surah Al-Fatiha and the control group. The experimental study used a pure experimental design (Posttest Only Control Group Design), the treatment was carried out in a soundproof box for 1 hour at night on the 9th day of pregnancy with an intensity of 65 dB. The cerebrum and cerebellum were prepared, stained by HE, calculated by 400x magnification, and then analyzed using appropriate statistics. Number of neurons average in the cerebrum was 167.75 and for the control group was 126.62. In cerebellum was 80.50 and 63.00 in the control group. There were a statistically higher number of neurons in the Al Fatiha group, with p=0.046 in the cerebrum and p=0.030 in the cerebellum. Conclusion: Sura Al Fatiha, during pregnancy, gave a higher number of newborn brain neurons compared with the control group.
Epigonism Vis A Vis Authentic Islam: Authority Claim And Novelty Production

This study focuses on acute epigenetic phenomena still inherent in modern civilization today. Epigonism is also more severe in academic research results, which tend to experience repetition of research. This is marked by a sharp decline in interest in Islamic studies, which then tends to copy the classical legacy, considered a novelty in research. On the other hand, Epigonism and claims of Islamic authentication have not yet encountered a meeting point against the most valid claim of Islamic orthodoxy by blaming other groups who are not in line. Another phenomenon that is not inferior is also blaming each other for the results of research in each science discipline, one of which is the common ground for Covid-19. This study recommends that one should harmonize textualism and contextualism to align with any civilization and culture to achieve a complete understanding of Islam. In addition, there must also be an appreciative attitude towards research results that are not in line with the disciplines that are the focus and dialogue between sciences, namely multidisciplinary research is more focused than monodisciplinary research, which tends to be repetitive even though the place and object under study changes.
A Reinforcement of Religious Understanding of High School Students on Radicalism During Pandemic

Terrorism as a manifestation of radicalism seems to arise and sink. Its existence is silent, but one day it can appear targeting all segments. The segment of radicalism thinking is the teenagers at the high school level. This because they are the transition from childhood to adulthood. The positive thinking mindset is seen with clarity of thought and brings the pandemic phenomenon as resilience to counteract radical thought patterns. The purpose of this study is to make the pandemic period a momentum for strengthening students' religious understanding as a counter to radicalism. This study is qualitative research with a content analysis approach to social media content. The results show that there are 5 (five) ways to strengthen religious understanding as an effort to de-radicalize high school students, namely: (1) Fostering logical thinking patterns wrapped in religion (science spiritualism), (2) Presentation of neutral readings so that their direction of reasoning is organized, balanced between thoughts state and religion, (3) Cultivating tawazzun and moderate attitudes, (4) Modeling attitudes and behaviors that are easy to imitate from teachers and education leaders, (5) optimizing the role of parents to assist students in distance learning patterns, learning from home, or online learning.
A Comparative Study of Some Point Process Models for Dynamic Networks

Modeling dynamic networks has attracted much interest in recent years, which helps understand networks’ behavior. Many works have been dedicated to modeling discrete-time networks, but less work is done for continuous-time networks. Point processes as powerful tools for modeling discrete events in continuous time have been widely used for modeling events over networks and their dynamics. These models have solid mathematical assumptions, making them interpretable but decreasing their generalizability for different datasets. Hence, neural point processes were introduced that don’t have strong assumptions on generative functions. However, these models can be impractical in the case of a large number of event types. This research presents a comparative study of different point process (Hawkes) models for continuous-time networks. Furthermore, a previously introduced neural point process (neural Hawkes) model is applied for modeling network interactions. In this work, network clustering is used for specifying interaction types. These methods are compared using different synthetic and real-world datasets, and their efficiency is evaluated on these datasets. The experiments represent that each model is appropriate for a group of datasets. In addition, the effect of clustering on results is discussed, and experiments for different clusters are presented.
Investigating Independence vs. Control: Agenda-Setting in Russian News Coverage on Social Media

Agenda-setting is a widely explored phenomenon in political science: powerful stakeholders (governments or their financial supporters) have control over the media and set their agenda: political and economical powers determine which news should be salient. This is a clear case of targeted manipulation to divert the public attention from serious issues affecting internal politics (such as economic downturns and scandals) by flooding the media with potentially distracting information. We investigate agenda-setting in the Russian social media landscape, exploring the relation between economic indicators and mentions of foreign geopolitical entities, as well as of Russia itself. Our contributions are at three levels: at the level of the domain of the investigation, our study is the first to substructure the Russian media landscape in state-controlled vs. independent outlets in the context of strategic distraction from negative economic trends; at the level of the scope of the investigation, we involve a large set of geopolitical entities (while previous work has focused on the U.S.); at the qualitative level, our analysis of posts on Ukraine, whose relationship with Russia is of high geopolitical relevance, provides further insights into the contrast between state-controlled and independent outlets.