Miracle-dz/UniFAR-FTUs huggingface dataset:
Mainstreaming Religious Moderation in the Digital Space: An Examination of Islami.co Web Portal in the Perspective of Jürgen Habermas’ Communicative Rationality

The development of popular Islamic media in the digital era, associated with an authority shift from traditional to popular religion, has enhanced peoples’ ways of thinking. Ironically, conservative and radical Islamic models have dominated the digital space. Therefore, in response to this phenomenon, this research examines how the mainstreaming strategy of religious moderation is carried out by moderate groups, specifically a non-affiliated Islamic portal called Islami.co, with the tagline “Enlightening and Friendly Islamic Media. ” This research also analyzed articles, concepts, and perspectives to determine whether they are in the moderate category using the Jürgen Habermas’ theory of communicative rationality. Furthermore, the essays in the islami.co were analyzed according to three kinds of validity claims, namely truth, accuracy, and honesty. This study concluded that mainstreaming religious moderation through this islami.co’s media significantly impacts the community as a filter from news content or thoughts that do not reflect the Islamic value of mercy to all mankind. Islami.co’s writers continuously endeavor to test conservative-radical Islamic narratives that develop in a society with logical (aqli) and religious (naqli) arguments presented with brief and uncomplicated explanations. The strategy of popular Islamic portals such as islami.co is quite acceptable to middle-class Muslims, as often preached by the fundamentalist groups. Therefore, it is very appropriate to direct islami.co’s target audience to readers from the general public. Keywords: Religious moderation, digital space, Islami.co, communicative rationality, religious authority.
Intertidal habitat complexity influences the density of the non-native crab Hemigrapsus sanguineus

Habitat structural complexity can provide protection from predators, potentially affecting population density of native and non-native prey. The invasive Asian shore crab, Hemigrapsus sanguineus, occurs in variable densities in the rocky intertidal zone of eastern North America and northern Europe, often in densities greater than in its native range. The present study examined the influence of habitat complexity on the density of H. sanguineus. Artificial shelters of concrete pavers with stones arranged in increasing complexity were deployed in the intertidal zone along a rocky shore in southeastern Massachusetts, USA, for 21 consecutive weekly intervals in 2020. Crabs consistently reached the highest densities in the most complex shelters despite their lower internal surface area. In addition, crabs exhibited shelter selectivity based on body size, with large crabs occupying artificial shelters in greater numbers than adjacent natural substrate. In a subsequent lab study, crab activity over 1 h was observed in the presence of the same artificial shelters, under simulated tidal conditions. Shelter complexity had little influence on the number of crabs under the pavers although crabs were more active when submerged in water than exposed to air. These results show that crab density increases as habitat complexity increases, and complexity may serve as a predictor of H. sanguineus density but not short-term behavior.
Kashuri Fundo Decomposition Method for Solving Michaelis-Menten Nonlinear Biochemical Reaction Model

In most of the real life problems, we encounter with nonlinear differential equations. Problems are made more understandable by modeling them with these equations. In this way, it becomes easier to interpret the problems and reach the results. In 1913, the basic enzymatic reaction model introduced by Michaelis and Menten to describe enzyme processes is an example of nonlinear differential equation. This model is the one of the simplest and best-known approaches of the mechanisms used to model enzyme-catalyzed reactions and is the most studied. For most nonlinear differential equations, it is very difficult to get an analytical solution. For this reason, various studies have been carried out to find approximate solutions to such equations. Among these studies, those in which two different methods are used by blending attract attention. In this study, a blended form of the Kashuri Fundo transform method and the Adomian decomposition method, so-called the Kashuri Fundo decomposition method, is used to find a solution to the Michaelis-Menten nonlinear biochemical reaction model in this way. This method has been applied to the biochemical reaction model and an approximate solution has been obtained for this model without complex calculations. This shows that the hybrid method is an effective, reliable, simpler and time-saving method in reaching the solutions of nonlinear differential equations.
Satellite Antenna Pointing Behavior with Laminated Shell Reflector Undergoing a Large Overall Motion

A dynamic modeling theory for satellite antenna is presented which is subjected to geometric nonlinearity and coupling deformation of flexible reflector undergoing a large overall motion. For the study of the characteristics of the reflector of the multilayer laminated structure, the displacement field description of a point in a three-node shell element is acquired in conjunction with the thickness, transverse bending, lateral bending, and torsional deformations. Therefore, a nonlinear dynamic model of satellite antenna is deduced based on Lagrange's equations. The complete expression of nonlinear terms of elastic deformation and coupling terms between the multilayer and large deflection are considered in the dynamic equations. Then, satellite antenna dynamics is analyzed between linear model and nonlinear model. The results show that the geometric nonlinear and coupling effects are ignored in the linear model at the initial period. However, as the rotational speed increases, the accuracy of present nonlinear model is suitable for dealing with large deformation problem with rigid-flexible coupling undergoing a large overall motion. Further, the satellite antenna pointing accuracy would be predicted based on the nonlinear model. The above conclusion would have important academic value and engineering significance.
A Neck-Thyroid Phantom with Small Sizes of Thyroid Remnants for Postsurgical I-123 and I-131 SPECT/CT Imaging

Post-surgical I-123 and I-131 SPECT/CT imaging can provide information on the presence and sizes of thyroid remnants and/or metastasis for an accurate re-staging of disease to apply an individualized radioiodine therapy. The purpose of this study was to develop and validate a neck–thyroid phantom with small sizes of thyroid remnants to be utilized for the optimization of post-surgical SPECT/CT imaging. 3D printing and molding techniques were used to develop the hollow human-shaped and -sized phantom which enclosed the trachea, esophagus, cervical spine, clavicle, and multiple detachable sections with different sizes of thyroid remnant in clinically relevant positions. CT images were acquired to evaluate the morphology of the phantom and the sizes of remnants. Triple-energy window scattered and attenuation corrected SPECT images were acquired for this phantom and for a modified RS-542 commercial solid neck–thyroid phantom. The response and sensitivity of the SPECT modality for different administered I-123 and I-131 activities within the equal-size remnants of both phantoms were calculated. When we compared the phantoms, using the same radiopharmaceutical and similar activities, we found that the measured sensitivities were comparable. In all cases, the I-123 counting rate was higher than the I-131 one. This phantom with capabilities to insert different small sizes of remnants and simulate different background-to-remnants activity ratios can be utilized to evaluate postsurgical thyroid SPECT/CT imaging procedures.
Emerging Bilinguals Future Teachers' Digital Behavior in Online Pre-Calculus Class: Mixed Methods Study

The educational landscape is becoming a digital learning environment. Students in today’s digital world draw from multiple sources of information; from hypertext, videos, social media, to video games and internet searches (Luke, 2005). Emerging bilinguals, individuals learning two languages at once, who use software written in English have a passive relationship with the computer when software is not in their native language. They feel that this educational software belongs to another culture. This paper will present findings from a study with emergent bilinguals’ engagement in a fully online pre-calculus course. The authors utilized the Cultural-Historical Activity Theory to describe how emergent bilinguals (perspective teachers) created authentic bilingual learning environments and improved their self-efficacy for mathematics. This study utilized Activity Theory to explicate the complex digital practices of emergent bilinguals while engaged in an online mathematics course. This mixed methods study was conducted over four semesters at a university on the U.S.-Mexico border. Data collected from demographic survey, class forum questions, daily logs with snapshots, self-efficacy surveys, and emails as well as face-to-face interviews, was analysed through a constant comparison method. Two tensions emerged from the findings, the importance of learning English and encountering unfamiliar Spanish dialects or translations. The results of this study demonstrated that emergent bilinguals mediated several forms of translators and culturally relevant videos for meaning making and to make cognitive connections with the topics in an online mathematics course. They further developed agency in creating an equitable educational digital space where they developed mathematical biliteracy. © 2019 Olga Kosheleva, Julian Viera, Vladik Kreinovich Published by Kazan federal university and peer-reviewed under responsibility of IFTE-2019 (V International Forum on Teacher Education)
Micro-tearing mode dominated electron heat transport in DIII-D H-mode pedestal

A new, comprehensive set of evidence reveals that Micro-Tearing Modes (MTMs) dominate pedestal electron heat transport in an H-mode experiment in the DIII-D tokamak. The experiment investigates the role of MTMs by scanning pedestal collisionality, a main drive of MTM instability, from 0.43 to 0.84 on the pedestal top. Broadband (150–800 kHz) magnetic and density fluctuations originating from the pedestal gradient region and highly consistent with MTMs are observed, with amplitude increasing during the scan. The higher magnetic fluctuation amplitude correlates with a lower pedestal electron temperature gradient, implying MTMs may regulate the pedestal electron heat transport. The collisionality scan results in profile and transport changes consistent with predicted transport capability of MTMs: (1) experimentally-determined electron heat diffusivity increases ∼40% at the location where the broadband density fluctuations peak; (2) ion heat diffusivity has less increase (<20%); and (3) a locally flattened region in the electron temperature pedestal is observed at high collisionality. A local, linear gyrokinetic simulation finds MTMs as the most unstable mode in the pedestal gradient region. In addition, local, nonlinear simulations suggest MTMs can dominate and drive experimentally-relevant, megawatt-level electron heat flux. This result establishes MTMs as an effective transport mechanism in the H-mode pedestal, in particular at high collisionality.
Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification

With the development of high-resolution satellites, more and more attention has been paid to remote sensing (RS) scene classification. Convolutional neural networks (CNNs), which replace the traditional handcrafted features with a learning-based feature extraction mechanism, are widely used in scene classification. But, CNNs are less effective in deriving long-range contextual relations, which limits further improvement. Visual transformer (VT), an emerging image processing method, provides a new perspective for RS scene classification by directly acquiring long-range features. Although there have been limited works combining CNN and VT through simple concatenation, the collaborations between them are insufficient. To address these issues, we propose a local and long-range collaborative framework (L2RCF). First, we design a dual-stream structure to extract the local and long-range features. Second, a cross-feature calibration (CFC) module is designed for them to improve the representation of the fusion features. Then, combining deep supervision (DS) and deep mutual learning (DML), a novel joint loss is proposed to enhance the dual-stream feature extractor and further improve the fused features. Finally, a two-stage semi-supervised training strategy is designed to improve performance with unlabeled samples. To demonstrate the effectiveness of L2RCF, we conducted experiments on three widely used RS scene classification datasets: RSSCN7, AID, and NWPU. The results show that the L2RCF performs significantly better compared with some state-of-the-art scene classification methods.
Determination of Key Components in the Bombyx mori p53 Apoptosis Regulation Network Using Y2H-Seq

Simple Summary Our study confirmed that Bmp53 can directly induce cell apoptosis and regulate the morphology and development of larvae during pupation. Y2H-Seq data led to the development of a model for apoptosis regulation with Bmp53 as a central node and the prediction that the silkworm Mdm2-like protein may be a key component of the apoptotic pathway. These results provide the initial molecular foundation for elucidating apoptosis regulation in silkworms and assessing the various biological processes regulated by the Bmp53 interactome. Abstract The apoptosis pathway is highly conserved between invertebrates and mammals. Although genes encoding the classical apoptosis pathway can be found in the silkworm genome, the regulatory pathway and other apoptotic network genes have yet to be confirmed. Consequently, characterizing these genes and their underlying mechanisms could provide critical insights into the molecular basis of organ apoptosis and remodeling. A homolog of p53, a key apoptosis regulator in vertebrates, has been identified and cloned from Bombyx mori (Bmp53). This study confirmed via gene knockdown and overexpression that Bmp53 directly induces cell apoptosis and regulates the morphology and development of individuals during the metamorphosis stage. Furthermore, yeast two-hybrid sequencing (Y2H-Seq) identified several potential apoptotic regulatory interacting proteins, including the MDM2-like ubiquitination regulatory protein, which may represent an apoptosis factor unique to Bmp53 and which differs from that in other Lepidoptera. These results provide a theoretical basis for analyzing the various biological processes regulated by Bmp53 interaction groups and thus provide insight into the regulation of apoptosis in silkworms. The global interaction set identified in this study also provides a basic framework for future studies on apoptosis-dependent pupation in Lepidoptera.
Contributions to the segmentation of e-commerce nonusers: clustering the reasons not to shop online

PurposeThe purpose is to investigate whether Brazilian e-commerce nonusers all have the same reasons not to purchase online or whether different behavior patterns might lead them to cluster in different groups.Design/methodology/approachThis study carried out cluster analyses on a large sample (N = 9,065) from a nationwide survey on the use of information and communication technology in Brazil.FindingsThree clusters of e-commerce nonusers were identified: the first cluster is quite reluctant; the second is characterized by disbelief in e-commerce; and the last cluster includes members who must see a product to believe it. Overall, nonusers have different reasons not to shop online, but they also share some similarities in this regard. Furthermore, socioeconomic factors do not seem to affect their behavior. The findings suggest that merchants’ failure to attract customers’ attention and tangibility are the major barriers to e-commerce use.Practical implicationsEven though nonusers have different reasons not to shop online, the key pattern that emerges is the value of tangibility for these individuals, which is a barrier present in all three clusters. This suggests that current marketing strategies and advertisements are ineffective to reach these consumers. Vendors should therefore try different approaches.Originality/valueThe findings contribute to the information systems (IS) literature by bringing a new perspective to the understanding of e-commerce rejection in addition to having managerial implications that involve strategies to attract potential users based on their specificities.
Floquet engineering with quantum optimal control theory

Floquet engineering consists in the modification of physical systems by the application of periodic time-dependent perturbations. The search for the shape of the periodic perturbation that best modifies the properties of a system in order to achieve some predefined metastable target behavior can be formulated as an optimal control problem. We discuss several ways to formulate and solve this problem. We present, as examples, some applications in the context of material science, although the methods discussed here are valid for any quantum system (from molecules and nanostructures to extended periodic and non periodic quantum materials). In particular, we show how one can achieve the manipulation of the Floquet pseudo-bandstructure of a transition metal dichalcogenide monolayer (MoS2).
Polymorphisms −374 T/A and −429 T/C of the Receptor for Advanced Glycation End-Products (RAGE) and Serum Levels of RAGE (sRAGE) Are Not Associated with Metabolic Syndrome

RAGE is a multi-ligand transmembrane glycoprotein that promotes biological signals associated with inflammatory responses and degenerative diseases. sRAGE is a soluble variant that has been proposed as an inhibitor of RAGE activity. The −374 T/A and −429 T/C polymorphisms of the advanced glycation end-product receptor AGER gene have been associated with the development of some diseases, such as types of cancer, cardiovascular disease, and micro- and macro-vascular disease in diabetes, among others, but their role in metabolic syndrome (MS) is still unknown. We studied 80 healthy males without MS, and 80 males with MS, according to the harmonized criteria. The −374 T/A and −429 T/C polymorphisms were genotyped by RT-PCR, and sRAGE was measured by ELISA. Allelic and genotypic frequencies did not differ between the non-MS and MS groups (−374 T/A p = 0.48, p = 0.57 and −429 T/C p = 0.36, p = 0.59, respectively). Significant differences were found in fasting glucose levels and diastolic blood pressure in the genotypes of the −374 T/A polymorphism in the non-MS group (p < 0.01 and p = 0.008). Glucose levels were different in the −429 T/C genotypes in the MS group (p = 0.02). The sRAGE levels were similar in both groups, but the non-MS group showed a significant difference between individuals with only 1 or 2 components of metabolic syndrome (p = 0.047). However, no associations of any SNP with MS were found (recessive model p = 0.48, dominant model p = 0.82 for −374 T/A; recessive model p = 0.48, dominant model p = 0.42 for −429 T/C). The −374 T/A and −429 T/C polymorphisms were not associated with MS in a Mexican population and had no influence on serum sRAGE levels.
Modelling of skew using the flux-MMF diagram

The flux-MMF diagram has recently been used effectively to predict electromagnetic and cogging torque ripple in different motor types. This paper describes a simple and elegant method, based on this technique, for predicting the effect of skew on torque ripple in permanent magnet motors. While the fact that skewing minimizes torque ripple is well established, the paper clearly brings out the difference in the extent of minimization in the case of electromagnetic as well as cogging torque ripple. Further, it shows that the effect of skew on these two types of torque ripple is quite independent of each other.
Unraveling the Magnetic Signal of Individual Grains in a Hawaiian Lava Using Micromagnetic Tomography

Micromagnetic Tomography (MMT) is a new technique that allows the determination of magnetic moments of individual grains in volcanic rocks. Current MMT studies either showed that it is possible to obtain magnetic moments of relatively small numbers of grains in ideal sample material or provided important theoretical advances in MMT inversion theory and/or its statistical framework. Here, we present a large‐scale application of MMT on a sample from the 1907‐flow from Hawaii's Kilauea volcano producing magnetic moments of 1,646 grains. We produced 261,305 magnetic moments in total for these 1,646 grains, an increase of three orders of magnitude compared to earlier studies to assess the robustness of the MMT results, and a major step toward the number of grains that is necessary for paleomagnetic applications of MMT. Furthermore, we show that the recently proposed signal strength ratio is a powerful tool to scrutinize and select MMT results. Despite this progress, still only relatively large iron‐oxide grains with diameters >1.5–2 μm can be reliably resolved, impeding a reliable paleomagnetic interpretation. To determine the magnetic moments of smaller (<1 μm) grains that may exhibit pseudo‐single domain behavior and are therefore better paleomagnetic recorders, the resolution of the microcomputed tomography and magnetic scans necessary for MMT must be improved. Therefore, it is necessary to reduce the sample size in future MMT studies. Nevertheless, our study is an important step toward making MMT a useful paleomagnetic and rock‐magnetic technique.
SLN-RED: Regularization by Simultaneous Local and Nonlocal Denoising for Image Restoration

Regularization by denoising (RED) framework has shown impressive performance for many imaging inverse problems, by leveraging the denoising method in defining an explicit regularization. In this letter, we propose a novel SLN-RED scheme for image restoration by exploiting the local and nonlocal denoisers simultaneously. Theoretically, we proves that for bounded denoisers, the SLN-RED under ADMM scheme with a continuation strategy converges to a fixed-point. Numerical experiments on deblurring and super-resolution tasks demonstrate promising performance of the proposed algorithm.