Miracle-dz/UniFAR-FTUs huggingface dataset:
Inclusive Multicultural Videos: An Engaging Approach in Teaching Higher Educational Levels of English

Students studying different levels of English require special attention in a higher educational classroom, especially when such levels are part of a university requirement and are not treated with the same focus as specialty courses. Hence, the aim of this study is to implement a teaching method that uses multicultural videos throughout an English level course to enhance student learning. This paper uses a survey approach given to students of different majors registered in two English levels at the German Jordanian University. In total, 53 students have responded. Ordinal scales are used through descriptive statistics analysis with a frequency check of the demographic data. Cronbach’s alpha is calculated for each section of the survey, proving a valid consistency of three dependent variables. DV1 α = 0.935, DV2 α = 0.930, and DV3 α = 0.921. A one-way ANOVA test was then used in order to interpret the relationship between the independent variable: multicultural videos, and the three dependent variables. The results of this study confirm the hypothesis that there is a positive relationship between multicultural videos and their dependent variables, reflecting on how this particular method promotes inclusive teaching in a higher educational classroom, and can help students from different cultural and educational backgrounds participate and engage fruitfully. Through this study, the Universal Design for Learning is tested on higher educational students without disabilities but have debility of different educational and cultural backgrounds, making the need for a material source, such as multicultural videos, used to promote inclusive education, which is an important factor when teaching English as a foreign language.
Effects of Geometric Stress Concentration in the Design of Thick Compound Cylinders- A Review

This paper reviews some of the critical considerations that are important during the design of high-pressure vessels. These critical considerations include Stress Concentration Factors (SCF), measurement of stress distribution, and geometric design parameters affecting stress concentration in the design of pressure vessels with a specific focus on thick compound cylinders. Further, the motivation of this study is to analyze stress concentration that occurs after the provision of cross bores in pressure vessels. Stress analysis can be performed using experimental, analytical, and numerical techniques. Hence, the study concluded that there is no known analysis carried out on the effects of cross bores on thick compound cylinders using Finite Element Analysis (FEA). Thus, there is need for understanding the effects of optimization of geometric parameters of cross bore size, shape, location, obliquity and thickness ratio, in the design of thick compound cylinders.
The Canaanean Blades from Tel Yarmuth, Israel: A technological analysis

Technological analyses of material recovered from the excavations at Tel Yarmuth offer new insights into the nature of Canaanean blade technology, the structure of manufacture, and the place of this sophisticated production system in Early Bronze Age society. Detailed study of the entire range of Canaanean production waste, debitage, and tools shows clearly the use of the lever pressure technique for blade removals. The presence of evidence for all stages of reduction on the site, including collection and reduction of nodules, production of blades, and conversion of blades into tools, indicates on-site production. Nevertheless, the absence of any evidence for a proper workshop suggests that blades were both brought in as trade items from off-site workshops, most likely by the knappers themselves, and manufactured specially on demand, by those same knappers. Reconstructing the specialized production and exchange system, considering the skills required for the manufacture of these blades, the number of blades that can be produced by a specialist, and the general distribution of waste both at Tel Yarmuth and in general, it is likely that only a relatively few specialists were actually required for the Canaanean production system any time.
Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

Based on a data set comprising 2879 animals and 17 nuclear microsatellite DNA markers, we propose the most comprehensive in-depth study mapping the genetic structure and specifying the assignment success rates in horse breeds at the Czech population scale. The STRUCTURE program was used to perform systematic Bayesian clustering via the Markov chain Monte Carlo estimation, enabling us to explain the population stratification and to identify genetic structure patterns within breeds worldwide. In total, 182 different alleles were found over all the populations and markers, with the mean number of 10.7 alleles per locus. The expected heterozygosity ranged from 0.459 (Friesian) to 0.775 (Welsh Part Bred), and the average level reached 0.721. The average observed heterozygosity corresponded to 0.709, with the highest value detected in the Czech Sport Pony (0.775). The largest number of private alleles was found in Equus przewalskii. The population inbreeding coefficient FIS ranged from –0.08 in the Merens to 0.14 in the Belgian Warmblood. The total within-population inbreeding coefficient was estimated to be moderate. As expected, very large genetic differentiation and small gene flow were established between the Friesian and Equus przewalskii (FST = 0.37, Nm = 0.43). Zero FST values indicated no differences between the Czech Warmblood–Slovak Warmblood and the Czech Warmblood–Bavarian Warmblood. A high level of breeding and connectivity was revealed between the Slovak Warmblood–Bavarian Warmblood, Dutch Warmblood–Oldenburg Horse, Bavarian Warmblood–Dutch Warmblood, and Bavarian Warmblood–Oldenburg Horse. The breeds’ contribution equalled about 6% of the total genetic variability. The overall proportion of individuals correctly assigned to a population corresponded to 82.4%. The posterior Bayesian approach revealed a hierarchical dynamic genetic structure in four clusters (hot-blooded, warm-blooded, cold-blooded, and pony). While most of the populations were genetically distinct from each other and well-arranged with solid breed structures, some of the entire sets showed signs of admixture and/or fragmentation.
An Analysis of the Use of Smartphone in Students’ Interaction at Senior High School

– This study aims to analyze the use of smartphones towards students’ interaction at senior high school. This descriptive qualitative research was carried out at one of the senior high schools in Pangalengan, Bandung with observation and interview techniques. It shows that smartphones can change the interaction pattern in associative and dissociative processes. In the associative proses, students create social media groups to communicate, interact, and socialize in order to make it easier for students to distribute information. Meanwhile, the dissociative process occur friction due to misunderstanding in interpreting information when communicating. Another finding in this research shows that the use of smartphones can facilitate teachers and students in the learning process and evaluation. However, the impact on the use of smartphone is that the students lack focus in the teaching and learning process. Smartphones are used as a means of cheating, bullying and shifting values and norms.
Patterns of mtDNA variation reveal complex evolutionary history of relict and endangered peat bog pine (Pinus uliginosa)

Abstract Estimates of genetic differentiation at intra- and interspecific level are often hindered by the lack of suitable molecular markers. Low phylogeographic resolution limits development of appropriate conservation strategies especially in case of endangered forest tree species with small and disjunct distribution. In this study, we assessed fine-scale genetic structure of relict and endangered peat bog pine (Pinus uliginosa) and two other closely related European pine species (Pinus mugo and Pinus uncinata) using a set of 15 newly developed maternally inherited and seed-mediated mitochondrial DNA (mtDNA) markers and two previously known polymorphic mtDNA regions (nad1, nad7). Three main groups, corresponding in general to three investigated species were revealed in the haplotype network analysis. However, only P. uncinata was clearly distinct at all levels of analysis, whereas great genetic similarity and haplotype sharing was observed between P. uliginosa and P. mugo. Strong phylogeographic structure was found in P. uliginosa that showed high differentiation at relatively short geographical distance among populations and the existence of mitochondrial lineages of different evolutionary history. Hybridization with other pine species has likely contributed to genetic differentiation of P. uliginosa as indicated by contemporary distribution of mtDNA haplotypes. The research emphasizes the importance of accurate assessments of genetic structure of endangered species with complex evolutionary history for development of efficient conservation strategies.
Integration of Income and Estate Tax Planning

The preservation and transfer of wealth to future generations are among the central financial goals for most high-net-worth families. Using a stylized theoretical model and Monte Carlo simulations, this article quantifies the benefits of income and estate tax planning for growing wealth over generations. The article shows that a family that invests with income and estate tax efficiency in mind can achieve substantially higher wealth levels than a family oblivious to taxes. More important, the article demonstrates that a significant value accrues from integrating income tax efficiency and estate tax planning: Becoming efficient with respect to one tax should make the family even more eager to become efficient with respect to the other. TOPICS: Wealth management, simulations, portfolio management/multi-asset allocation, performance measurement Key Findings ▪ Using a stylized theoretical model and Monte Carlo simulations, this article quantifies the benefits of income and estate tax planning for growing wealth over generations. The article shows that a family that invests with income and estate tax efficiency in mind can achieve substantially higher wealth levels than a family oblivious to taxes. ▪ The article demonstrates that a significant value accrues from integrating income tax efficiency and estate tax planning: Becoming efficient with respect to one tax should make the family even more eager to become efficient with respect to the other. ▪ Our conclusions are robust to moderate declines in pre-tax returns, which might occur in pursuit of tax-efficient investing, and to significant increases in statutory annuity rates involved in estate tax planning techniques.
Recent global changes have decoupled species richness from specialization patterns in North American birds

Aim Theory suggests that increasing productivity and climate stability toward the tropics can explain the latitudinal richness gradient by favouring specialization. A positive relationship between species richness and specialization should thus emerge as a fundamental biogeographic pattern. However, land use and climate change disproportionally increase the local extirpation risk for specialists, potentially impacting this pattern. Here, we empirically quantify the richness-specialization prediction and test how 50 years of climate and land use change has affected the richness-specialization relationship. Location USA Time period 1966-2015 Major taxa studied Birds Methods We used the North American breeding bird survey to quantify bird community richness and specialization to habitat and climate. We assess i) temporal change in the slope of the richness-specialization relationship, using a Generalized Mixed Model; ii) temporal change in spatial covariation of richness and specialization as driven by local environmental conditions, using Generalized Additive Models; and iii) land use, climate and topographic drivers of the spatio-temporal changes in the relationship, using a multivariate method. Results We found evidence for a positive richness-specialization relationship in bird communities. However, the slope of the relationship declined strongly over time. Richness spatially covaried with specialization following a unimodal pattern. The peak of the unimodal pattern shifted toward less specialized communities over time. These temporal changes were associated with precipitation change, decreasing temperature stability and land use. Main conclusions Recent climate and land use changes induced two antagonist types of community responses. In human-dominated areas, the decoupling of richness and specialization drove a general biotic homogenization trend. In human-preserved areas under increasing climate harshness, specialization increased while richness decreased in a “specialization” trend. Our results offer new support for specialization as a key driver of macroecological diversity patterns, and show that global changes are erasing this fundamental macroecological pattern. Biosketch Anne Mimet is a postdoctoral researcher interested in the understanding of human impacts on biodiversity through land use and climate changes, at various spatio-temporal scales. She is interested in embracing the complexity of socio-ecological systems, and in the understanding of biodiversity trends in a human-dominated world in the context of the general theories of ecology.
Influence of Factorial Design Analysis on the Performance of Bisphenol A Molecular Imprinted Polymer

The main issue in the synthesis of molecular imprinted polymer nanoparticles is the identification and optimization of the key factors affecting the material structure and molecular recognition properties. This paper focus on the application of experimental design approach to synthesis bisphenol A molecular imprinted polymers (BPA-MIPs) aimed at the effect on polymerisation temperature, agitation rate, cross-linker to solvent ratio, and percentage of initiator; and determine the influence on hydrolysis breakage to remove template molecule, discussed by FTIR spectra results. The polymers were prepared under thermal suspension polymerization and their functional group stretching and degradation was evaluated. The results presented demonstrate the importance of keeping the right balance between the four parameters conditions which are approximately 55Â°C, 100rpm, 65% solvent ratio and 1% initiator, respectively. The FTIR results shows that the particle sizes variation affects the performance of MIP where particles with 4 #m size reached 84% removal within time constrain rather than particles with 514 #m size only manage 40% of template removal. Generally, it could be concluded that smaller MIPs achieve removal better than the bigger ones and is expected to perform better in further investigations.
Linguistic intuitions

Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by relating them to error signals of the sort posited by accounts of online monitoring of speech production and comprehension. The suggestion is framed as a novel reply to Michael Devitt’s claim that linguistic intuitions are theory-laden “central systems” responses rather than endorsed outputs of a modularized language faculty (the “Voice of Competence”). Along the way, it is argued that linguistic intuitions may not constitute a natural kind with a common etiology and that, for a range of cases, the process by which the intuitions used in linguistics are generated amounts to little more than comprehension.
Board Composition and Family Firms’ Profitability. Do Generational Stage and Performance Level Matter?

International Journal of Economic Behavior, vol. 10, n. 1, 2020, 3-13 This article examines the relationship between board composition and family firms’ performance. Namely, by adopting the theoretical framework of socio-emotional wealth and analyzing a sample of Italian medium-sized family firms, we investigate how the presence of non-family directors affects their financial performance, considering the generational stage as a moderating variable. Findings suggest that a higher presence of non-family directors has a less positive effect on first-generation family firms than in later generations of family firms. Furthermore, by adopting a quantile regression, results show that this effect is more striking in low-performing family businesses than in high. Keywords : Family Businesses; Board of directors; Firm performance; Non-family directors; Corporate governance; Generational stage; First-generation family firms; Quantile regression
The complete mitochondrial genome of a jumping spider, Cheliceroides longipalpis Zabka (Araneae: Salticidae)

Abstract The complete mitochondrial genome of Cheliceroides longipalpis Zabka (Araneae: Salticidae) is a circular DNA molecule of 14,334 bp in length (GenBank accession number MH891570), and contains a standard set of 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, 22 transfer RNA (tRNA) genes, and an A + T-rich region. The gene orientation of C. longipalpis was similar to those found in other spider mitogenomes. The overall nucleotide composition is 36.5% A, 8.1% C, 12.9% G, and 42.5% T. Twenty reading frame overlaps and seven intergenic regions were found in the mitogenome of C. longipalpis. Thirteen tRNAs lack the potential to form the cloverleaf-shaped secondary structure. Ten PCGs start with ATN codons, two genes (cox2 and cox3) begin with TTG, and cox1 use AGA as initiation codon. Nine PCGs use usual termination codon of TAA or TAG, whereas the remaining four had an incomplete termination codon (T). The phylogenetic relationships of 14 spider mitogenomes based on the concatenated amino acid sequences of 13 PCGs showed that C. longipalpis is closely related to Plexippus paykulli, which is consistent with the traditional taxonomy.
Giant descendant trees, matchings, and independent sets in age-biased attachment graphs

Abstract We study two models of an age-biased graph process: the $\delta$ -version of the preferential attachment graph model (PAM) and the uniform attachment graph model (UAM), with m attachments for each of the incoming vertices. We show that almost surely the scaled size of a breadth-first (descendant) tree rooted at a fixed vertex converges, for $m=1$ , to a limit whose distribution is a mixture of two beta distributions and a single beta distribution respectively, and that for $m>1$ the limit is 1. We also analyze the likely performance of two greedy (online) algorithms, for a large matching set and a large independent set, and determine – for each model and each greedy algorithm – both a limiting fraction of vertices involved and an almost sure convergence rate.
Global Attention Improves Graph Networks Generalization.

This paper advocates incorporating a Low-Rank Global Attention (LRGA) module, a computation and memory efficient variant of the dot-product attention (Vaswani et al., 2017), to Graph Neural Networks (GNNs) for improving their generalization power. To theoretically quantify the generalization properties granted by adding the LRGA module to GNNs, we focus on a specific family of expressive GNNs and show that augmenting it with LRGA provides algorithmic alignment to a powerful graph isomorphism test, namely the 2-Folklore Weisfeiler-Lehman (2-FWL) algorithm. In more detail we: (i) consider the recent Random Graph Neural Network (RGNN) (Sato et al., 2020) framework and prove that it is universal in probability; (ii) show that RGNN augmented with LRGA aligns with 2-FWL update step via polynomial kernels; and (iii) bound the sample complexity of the kernel's feature map when learned with a randomly initialized two-layer MLP. From a practical point of view, augmenting existing GNN layers with LRGA produces state of the art results in current GNN benchmarks. Lastly, we observe that augmenting various GNN architectures with LRGA often closes the performance gap between different models.
The Effect of Marketing Mix on Purchase Decisions

This research is essential to contribute to the minimarket with campus brands, which live and thrive in the campus environment to better understand the marketing mix factors that influence purchasing decisions. The campus is expected to provide a special image for consumers. This research discusses the marketing mix factors on consumer purchasing decisions in minimarkets with campus brands in the Banyumas Regency, namely Boersa Kampus (Unsoed), Top Campus (Unsoed, UMP), Kopkun Swalayan (Unsoed), Indo Kampus (STAIN), and UeMPe Mart (UMP). The factors used were the product, price, promotion, service, and place/location. The sample used amounted to 100 respondents who were consumers with more than 17 years of age. The sampling employed non-probability with a purposive sampling technique, and data analysis utilized multiple linear regression. The adjusted R-square value indicates that the dependent variable was influenced by the independent variable by 54.3%. The results showed that the product, price, promotion, service, and place/location variables simultaneously determined purchase decision. Partially, product and place/location variables determined positively and significantly towards purchasing decisions, while price, promotion, and service variables did not affect purchase decisions. Future research can be carried out using the campus brand as a mediating variable.
Climate change cumulative impacts on deep-sea ecosystems

Climate models report that the environmental changes resulting from excess CO2 and heat absorption by the ocean already reach many deep-ocean margins, basins, and seas. Decadal monitoring programmes have confirmed significant warming and deoxygenation trends down to the abyss, which combine with CO2-enriched, more corrosive conditions. Although the resolution of current models does not account for the typical mesoscale seafloor heterogeneity, cumulative impacts on biodiversity and productivity hotpots are anticipated. The growing interest in deep-sea resource exploitation has shed light on the lack of knowledge about current climate-driven disturbance and potential cumulative threats at great depth. Assessing the sensitivity of deep-sea ecosystems to temperature increase combined with oxygen and resource decline is emerging as a growing challenge. The natural patchiness of deep-seafloor habitats and associated deep-sea diversity patterns inform about environmental constraints over space, but the temporal dynamics of these systems is not well known. Experimental studies are required to assess the physiological limits and explore the adaptation and acclimation potential of foundation species exposed to various forms of abiotic stress. The case of cold-water corals is particularly illustrative of the potential synergistic effects of climate stressors, including warming, acidification, deoxygation, and reduced food availability. Addressing ecosystem vulnerability also requires dedicated monitoring efforts to identify the current and future drivers of climate-change impacts on deep-sea habitats. United Nations policy objectives for protected high-sea biodiversity and healthy oceans and seas drive the momentum towards better climate-change forecasting over the ocean-depth range and related integrated observing strategies.