Miracle-dz/UniFAR-FTUs huggingface dataset:
Potensi e-Modul dalam Pembelajaran Bahasa Arab pada Era Globalisasi

Computer-Assisted Language Learning and e-learning are among the features that characterize Arabic language learning in the 21st century and the era of the Fourth Industrial Revolution. The presence of e-modules that incorporate these features into the online Arabic language learning landscape has successfully ensured the continuity of teaching and learning processes amidst the COVID-19 pandemic. This study aims to explore the potential and effectiveness of e-modules in Arabic language teaching and learning. The study adopts a qualitative approach and utilizes a literature review methodology. Data collection involves reviewing past studies and relevant documents, which are then analyzed descriptively. The findings reveal five main potentials identified, namely, e-modules operating through various Internet of Things (IoT) based products, e-modules serving as a virtual learning alternative, e-modules that can be used anytime and anywhere, e-modules rich in multimedia elements, e-modules employing personalized learning approaches, and e-modules fostering responsible technology use. The study also suggests further in-depth research in the future regarding the trends in the development of Arabic language e-modules based on the insights gained from previous studies, in order to strengthen this field. Abstrak: Pembelajaran Bahasa Berbantukan Komputer dan e-pembelajaran adalah antara ciri-ciri yang mencorakkan pembelajaran bahasa Arab pada era Pembelajaran Abad ke-21 dan era Revolusi Industri 4.0. Kehadiran e-modul yang mengadunkan dua ciri tersebut ke dalam landskap pembelajaran bahasa Arab secara dalam talian berjaya memastikan kelangsungan proses pengajaran dan pembelajaran (PdP) di tengah penularan pandemik COVID-19. Kajian ini bertujuan untuk merungkai potensi e-modul dan keberkesanan dalam PdP bahasa Arab. Kajian ini adalah berbentuk kualitatif dan menggunakan pendekatan kajian kepustakaan. Pengumpulan data kajian melibatkan penelitian bahan literatur kajian lepas dan dokumen berkaitan yang seterusnya dianalisis secara deskriptif. Hasil kajian mendapati terdapat lima potensi utama yang dikenalpasti iaitu e-modul beroperasi melalui sebarang produk berasaskan Internet of Things (IoT), e-modul sebuah alternatif pembelajaran secara maya, e-modul boleh digunakan tanpa mengira waktu dan tempat, e-modul kaya dengan elemen multimedia, e-modul menggunakan pendekatan pembelajaran yang diperibadikan dan e-modul memupuk cara menggunakan teknologi dengan sewajarnya. Kajian turut mencadangkan agar penelitian lebih mendalam pada masa akan datang berhubung trend perkembangan e-modul bahasa Arab berdasarkan sorotan kajian lepas dijalankan agar bidang tersebut boleh diperkasakan.
AN OPTIMISED PHISHING EMAIL DETECTION AND PREVENTION USING CLASSIFICATION MODELS

The act of sending a fake e-mail to a user is known as phishing. It involves imitating a legitimate financial institution or organization in order to trick the recipient into providing their personal information. Due to the harmful effects of phishing emails, the development of classification models that can help identify and prevent fraudulent emails has been considered. Four of the most prominent models in the literature for analyzing phishing emails are K-Nearest Neighbor, Support Vector Machine, Random Forest and Nave Bayes. A model that combines three of the models with better performance metrics using 47 features was developed. It was tested against various existing models and performed well in comparison to them. Finally, the comparison analysis of the model is conducted to archive a realistic accuracy rate of 99 percent.
SAR Interferometry Infrastructure Deformation Monitoring by the Number of Redundant Observations Optimizes Phase Unwrapping Networks

This work employs synthetic aperture radar interferometry technology to investigate infrastructure deformation in which discontinuous and irregular interferometric fringes make phase unwrapping (PhU) challenging. This study aimed to improve the reliability and practicability of PhU through the number of redundant observations to optimize PhU networks. The proposed PhU networks optimization strategy can improve the efficiency of PhU and accuracy. In addition, we evaluated the reliability of selected networks based on two popular methods. Finally, we used the Edgelist PhU method to demonstrate the reliability of optimized networks. Experiments were carried out on the Nanjing Dashengguan Yangtze River high-speed railway bridge, China, and on buildings deformation in Xi'an, China, the results of which indicate that the proposed method can effectively balance the accuracy and efficiency of PhU.
A `constant Lagrangian' Fit of the Galaxy Rotation Curves of the Complete Sparc Database of 175 Galaxies.

In this paper I apply the `constant Lagrangian' model for galactic dynamics to the complete SPARC database of 175 galaxies. For twenty five percent, 43 out of 175, of the galaxies of the series, a single fit model already remains nicely within the error margins. Fifteen galaxies are more complicated and clearly need a threefold fit. One exceptional galaxy justified five fits. So 116 galaxies, 66 percent, have a dual fit. The multiple fit appears to follow the mass composition of galaxies as composed of a bulge, possibly a disk and mostly extended gas clouds. As in previous papers, I will first repeat a presentation of the `constant Lagrangian' approach. The original part of this paper is the fit of the complete set of the SPARC database and a first categorization of the result in single, dual, triple or multiple fit galaxies. Through the extensive database fit, the `constant Lagrangian' approach can be inverted from a deductive to an inductive result: huge stretches of all galaxies can be fitted on a constant Lagrangian curve, while remaining within the empirical margin of errors. This paper's galaxy fits prove this restricted claim beyond doubt. The issue then becomes to explain this empirical, inductive result.
CXCL5 Promotes Acetaminophen-Induced Hepatotoxicity by Activating Kupffer Cells

Kupffer cells (KCs) play a key part in the pathological process of acetaminophen (APAP)-induced acute liver injury (ALI), the leading cause of acute liver failure in the world. CXC motif chemokine ligand 5 (CXCL5) exerts proinflammatory effects in acute respiratory distress syndrome and arthritis. In the current study, we aim to reveal the effects of CXCL5 on the activation of KCs and the role of CXCL5 in the pathogenesis of APAP-induced hepatotoxicity. The in vivo study, conducted on mice intraperitoneally injected with APAP (300 mg/kg) to establish the ALI model and then treated with Anti-CXCL5 mAb at 30 min and 12 h after the APAP challenge, showed that CXCL5 expression significantly increased in injured livers, and Anti-CXCL5 mAb mitigated the degree of APAP-evoked ALI in mice which was proven through biochemicals and histological examination. Also, neutralization of CXCL5 had no significant effect on APAP metabolism in the liver but exhibited anti-inflammatory effects and ameliorated hepatocellular death in the injured liver. The in vitro data displayed that recombinant mouse CXCL5 treatment promoted APAP-induced cellular toxicity in primary hepatocytes co-cultured with KCs, compared with single-cultured hepatocytes. Consistent with the result, we found that the Anti-CXCL5 mAb gradient decreased LPS-induced expression of inflammatory cytokines in single-cultured KCs. Therefore, CXCL5 could stimulate KCs to produce inflammatory mediators, therefore damaging hepatocytes from APAP toxicity.
Quantum Spin Hall Effect in Two-Monolayer-Thick InN/InGaN Coupled Multiple Quantum Wells

In this study, we present a theoretical study of the quantum spin Hall effect in InN/InGaN coupled multiple quantum wells with the individual well widths equal to two atomic monolayers. We consider triple and quadruple quantum wells in which the In content in the interwell barriers is greater than or equal to the In content in the external barriers. To calculate the electronic subbands in these nanostructures, we use the eight-band k∙p Hamiltonian, assuming that the effective spin–orbit interaction in InN is negative, which represents the worst-case scenario for achieving a two-dimensional topological insulator. For triple quantum wells, we find that when the In contents of the external and interwell barriers are the same and the widths of the internal barriers are equal to two monolayers, a topological insulator with a bulk energy gap of 0.25 meV can appear. Increasing the In content in the interwell barriers leads to a significant increase in the bulk energy gap of the topological insulator, reaching about 0.8 meV. In these structures, the topological insulator can be achieved when the In content in the external barriers is about 0.64, causing relatively low strain in quantum wells and making the epitaxial growth of these structures within the range of current technology. Using the effective 2D Hamiltonian, we study the edge states in strip structures containing topological triple quantum wells. We demonstrate that the opening of the gap in the spectrum of the edge states caused by decreasing the width of the strip has an oscillatory character regardless of whether the pseudospin-mixing elements of the effective Hamiltonian are omitted or taken into account. The strength of the finite size effect in these structures is several times smaller than that in HgTe/HgCdTe and InAs/GaSb/AlSb topological insulators. Therefore, its influence on the quantum spin Hall effect is negligible in strips with a width larger than 150 nm, unless the temperature at which electron transport is measured is less than 1 mK. In the case of quadruple quantum wells, we find the topological insulator phase only when the In content in the interwell barriers is larger than in the external barriers. We show that in these structures, a topological insulator with a bulk energy gap of 0.038 meV can be achieved when the In content in the external barriers is about 0.75. Since this value of the bulk energy gap is very small, quadruple quantum wells are less useful for realizing a measurable quantum spin Hall system, but they are still attractive for achieving a topological phase transition and a nonlocal topological semimetal phase.
Concept Similarity Measure with Hierarchy Structure and Information

Calculating semantic similarity between concepts in ontology is an important issue in natural language processing and so on, so how to measure the similarity becomes a hot topic among many scholars. However, most existing methods cannot distinguish the similarity further. Confronting this problem, we propose a new semantic similarity method combining hierarchy structure of ontology and information content of two concepts based on domain ontology, which highlights the semantic information of leaves in the ontology structure. Our experiment demonstrates that, compared with other available methods, our proposal can improve the accuracy between two leaves and between leaf and non-leaf.
Number line estimation patterns and their relationship with mathematical performance

There is ongoing debate regarding what performance on the number line estimation task represents and its role in mathematics learning. The patterns followed by children’s estimates on the number line task could provide insight into this. This study investigates children’s estimation patterns on the number line task and assesses whether mathematics achievement is associated with these estimation patterns. Singaporean children (n = 324, Age M = 6.2 years, Age SD = 0.3 years) in their second year of kindergarten were assessed on the number line task (0-100) and their mathematical performance (Numerical Operations and Mathematical Reasoning subtests from WIAT II). The results show that most children’s number line estimation patterns can be explained by at least one mathematical model (i.e., linear, logarithmic, unbounded power model, one-cycle power model, two-cycle power model). But the findings also highlight the high percentage of participants for which more than one model shows similar support. Children’s mathematical achievement differed based on the models that best explained children’s estimation patterns. Children whose estimation patterns corresponded to a more advanced model tended to show higher mathematical achievement. Limitations of drawing conclusions regarding what performance on the number line task represents based on models that best explain the estimation patterns are discussed.
Photometric typing of normal and peculiar type Ia supernovae

Abstract We present a new photometric typing technique for normal type Ia supernovae (SNe~Ia) and peculiar SNe~Ia such as SN~1991bg-like, type Iax and super-Chandrasekhar SNe~Ia. This photometric classifier allows the identification of exclusively normal SNe~Ia (with a purity above 99% and an efficiency greater than 80%) in current and future large wide field surveys for cosmological studies.
Family Stressors Experienced by Adolescents in Secondary Schools in Nairobi City County

Purpose: The aim of this study was to determine the different sorts of family stressors among adolescents in secondary schools in Nairobi County have observed. Methodology: The study employed a parallel convergent mixed-method design with a target population of 38,641 adolescents in Nairobi County secondary schools. Quantitative Data was collected from 398 adolescents in forms 2 and 3 via simple random sampling. All school categories were represented through cling cluster sampling, while simple random sampling selected respondents within each school. Qualitative data was purposively obtained from 10 students, 10 parents, and 10 teachers. Proven psychometric tools like Assessment of identity Development in Adolescence, Strengths and Difficulties Questionnaire, Children’s Perception of Inter-Parental Conflict Scale, and Dhaka Stress Scale-Adolescent collected quantitative data. Pearson coefficient correlations were calculated using Statistical Package for Social Sciences (SPSS version 25) to explore relationships between variables. Findings: The study established the types of family stressors and confined itself to parental conflict and family changes. The findings of the study revealed that a slight majority of secondary students experienced less intense parental conflict. However, the study results also showed slight high rate of separation, followed by extramarital affairs and divorce among the families’ stressors. Additionally, the qualitative data analysis showed that parental conflict, separation, and divorce were among the few family stressors unanimously reported by all three respondent groups (parents, teachers and students). Furthermore, both the students and parents reported domestic violence as one of family stressors. Unique Contribution to Theory, Practice and Policy: The study was anchored on Family Systems Theory. The study recommended the involvement of a counsellor, a chaplain and the government. There should also be a wide spread training of parents and the wider community. These interventions should be implemented not only within schools but also within communities. Therefore, parents, teachers, Non-governmental Organizations, churches, the government and stakeholders in psychological counselling must collaborate and implement interventions. This can create a more robust and holistic support system by adopting a comprehensive approach encompassing educational institutions and community settings.
Assessing Agroecological Vocational Training Approach Through the Eyes of Farmers

Agroecology (AE) as a broad collection of good farming management practices, recognizes the impacts of agriculture on ecosystems and society. Even though AE does not have a specific certification method, its basic components can be identified at the farm level too. In the context of the trAEce project, research was conducted in order to investigate the concept of AE at the farm level. Furthermore, the topics that can be taught in the form of vocational training designed for farmers in connection with AE have also been identified. Accordingly, a 6-module training with 7 events was organized with the aim of testing the developed AE vocational training curriculum. The main target group of the training was conventional farmers who are committed to changing their farming methods and are open to agroecological solutions. The participants had opportunities to express their opinion about the training after each module day, and after completing the whole course. The analysis of the feedback questionnaires proved that the practice-oriented vocational training course that promotes well-established good practices combined with basic theoretical knowledge is considered an effective method to increase farmers’ knowledge about AE. The training helps conventional farmers in the transition towards AE contributing to the even more efficient use of EU subsidies.
SLUG and SNAIL as Potential Immunohistochemical Biomarkers for Renal Cancer Staging and Survival

Renal cell carcinoma (RCC) is the deadliest urological neoplasm. Up to date, no validated biomarkers are included in clinical guidelines for the screening and follow up of patients suffering from RCC. Slug (Snail2) and Snail (Snail1) belong to the Snail superfamily of zinc finger transcriptional factors that take part in the epithelial–mesenchymal transition, a process important during embryogenesis but also involved in tumor progression. We examined Slug and Snail immunohistochemical expression in patients with different stages of renal cell carcinomas with the aim to investigate their potential role as staging and prognostic factors. A total of 166 samples of malignant renal cell neoplasms were analyzed using tissue microarray and immunohistochemistry. Slug and Snail expressions were evaluated qualitatively (presence or absence), in nuclear and cytoplasmic cell compartments and compared in relation to clinical parameters. The Kaplan–Meier survival analysis showed the impact of the sarcomatoid component and Slug expression on the survival longevity. Cox regression analysis separated Slug as the only independent prognostic factor (p = 0.046). The expression of Snail was associated with higher stages of the disease (p = 0.004), especially observing nuclear Snail expression (p < 0.001). All of the tumors that had metastasized showed nuclear immunoreactivity (p < 0.001). In clear cell RCC, we showed a significant relationship between a high nuclear grade and nuclear Snail expression (p = 0.039). Our results suggest that Slug and Snail could be useful immunohistochemical markers for staging and prognosis in patients suffering from various RCCs, representing potential targets for further therapy strategies of renal cancer.
Supplementing branched-chain volatile fatty acids in dual flow cultures varying in dietary forage and corn oil concentrations. I: Digestibility, microbial protein, and prokaryotic community structure.

Branched-chain amino acids are deaminated by amylolytic bacteria to branched-chain volatile fatty acids (BCVFA), which are growth factors for cellulolytic bacteria. Our objective was to determine the dietary conditions that would increase the uptake of BCVFA by rumen bacteria. We hypothesized that increased forage would increase cellulolytic bacterial abundance and incorporation of BCVFA into their structure. Supplemental polyunsaturated fatty acids, supplied via corn oil (CO), should inhibit cellulolytic bacteria growth, but we hypothesized that additional BCVFA would alleviate that inhibition. Further, supplemental BCVFA should increase neutral detergent fiber degradation and efficiency of bacterial protein synthesis more with the high forage and low polyunsaturated fatty acid dietary combination. The study was an incomplete block design with 8 dual flow continuous cultures used in 4 periods with 8 treatments (n = 4 per treatment) arranged as a 2 × 2 × 2 factorial. The factors were: high forage (HF) or low forage (LF; 67 or 33%), without or with supplemental CO (3% dry matter), and without or with 2.15 mmol/d (which included 5 mg/d of 13C each of BCVFA isovalerate, isobutyrate, and 2-methylbutyrate). The isonitrogenous diets consisted of 33:67 alfalfa:orchardgrass pellet, and was replaced with a concentrate pellet that mainly consisted of ground corn, soybean meal, and soybean hulls for the LF diet. The main effect of supplementing BCVFA increased neutral detergent fiber (NDF) degradability by 7.6%, and CO increased NDF degradability only in LF diets. Supplemental BCVFA increased bacterial N by 1.5 g/kg organic matter truly degraded (6.6%) and 0.05 g/g truly degraded N (6.5%). The relative sequence abundance decreased with LF for Fibrobacter succinogenes, Ruminococcus flavefaciens, and genus Butyrivibrio compared with HF. Recovery of the total 13C dose in bacterial pellets decreased from 144 µg/ mg with HF to 98.9 µg/ mg with LF. Although isotope recovery in bacteria was greater with HF, BCVFA supplementation increased NDF degradability and efficiency of microbial protein synthesis under all dietary conditions. Therefore, supplemental BCVFA has potential to improve feed efficiency in dairy cows even with dietary conditions that might otherwise inhibit cellulolytic bacteria.
Selenium Nanoparticles as Potential Antioxidants to Improve Semen Quality in Boars

Simple Summary Duroc boars were supplemented by sodium selenite or selenium nanoparticles at the dose of 0.3 mg Se/kg/day for 126 days. Sampling was carried out at days 0, 42, 84 and 126. Sperm qualitative parameters and antioxidant activity were compared with those of the control group (without selenium supplementation). The findings indicate that SeNPs slightly improved GPx activity, and both SeNPs and sodium selenite influenced the antioxidant capacity of semen. This research also showed that both treatments did not affect semen qualitative parameters based on comparisons with the control group. Abstract Selenium is an essential compound which can influence the fertility of boars by a greater margin. In past decades, research was mainly focused on a bioavailability of various selenium forms and the effect on semen quality. Recently, nanotechnology has expanded the possibilities of selenium supplementation research. Twenty-one Duroc boars (three groups with seven boars each) were included in this experiment with the first group being a control group with no selenium supplementation, and the second group being supplemented with 0.3 mg Se/kg of selenium in inorganic form of Na2SeO3. The third group was supplemented with selenium nanoparticles (100 nm) at the same dose as that of the second group. The experiment lasted for 126 days (three spermatogenesis cycles of boars) and the antioxidant parameters of boar semen were analysed at 42, 84 and 126 days, respectively. The antioxidant parameters (DPPH, FRAP, DMPD, GSH, GSSG) were not influenced by both Se2NO3 and selenium nanoparticle supplementation during this experiment. At the end of the monitored period, significantly higher (p < 0.004) antioxidant readings were observed by using the ABTS method but not the DPPH, DMPD and FRAP methods on the supplemented groups compared to the control. Moreover, selenium-nanoparticle-supplemented groups showed elevated glutathione peroxidase activity in the seminal fluid (p < 0.008). However, the selenium nanoparticle supplementation has not shown an improving effect on sperm quality. This could be considered as a safe alternative to inorganic selenium as well as having a potential to enhance the antioxidant properties of the semen of boars.