Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of biomechanical behaviour of magnesium alloys for biomedical context

Magnesium alloys, which belong to the category of biodegradable metals, have a significant amount of potential to be utilized as implant materials, and as a result, they draw a lot of attention. This article is a review that summarizes the mechanical properties of magnesium alloys that are used in medical applications. This article illustrates the mechanical behaviors of magnesium alloys that are used in biomedical applications as well as the ways that may be used to improve the mechanical characteristics of biodegradable magnesium alloys. In conclusion, the difficulties that will need to be overcome in the creation of biodegradable magnesium alloys are discussed.
Bayesian approach for detecting dynamically triggered very low-frequency earthquakes in the Nankai subduction zone and application to the 2016 Mw 5.9 off-Kii Peninsula earthquake, Japan

surface and borehole sensors. A maximum-likelihood approach is used to estimate source parameters that best explain the surface observations predicted by the borehole observations and probable VLF signals. We found that six VLF events with magnitudes 3.4 ≤ M w ≤ 4.3 likely occurred in the seismogenic regions of ambient low-frequency earthquakes/tremors (LFEs), and were likely triggered by the arrivals of high-amplitude surface waves. The triggering stress changes are estimated from 0.4 to 1.5 kPa, similar to the values for triggered LFEs reported previously. Since there were no triggered LFEs in western Shikoku following the 2016 M w 5.9 earthquake, these VLF earthquakes are more sensitive to stress changes caused by surface waves from large earthquakes. This is the ﬁrst reported example of dynamic triggering of VLF earthquakes.
Big data clustering based on spark chaotic improved particle swarm optimization

In recent years, the surge in continuously accelerating data generation has given rise to the prominence of big data technology. The MapReduce architecture, situated at the core of this technology, provides a robust parallel environment. Spark, a leading framework in the big data landscape, extends the capabilities of the traditional MapReduce model. Coping with big data, especially in the realm of clustering, requires more efficient techniques. Meta-heuristic-based clustering, known for offering global solutions within reasonable time frames, emerges as a promising approach. This paper introduces a parallel-distributed clustering algorithm for big data within the Spark Framework, named Spark, chaotic improved PSO (S-CIPSO). Centered on particle swarm optimization (PSO), the proposed algorithm is enhanced with a chaotic map and an efficient procedure. Test results, conducted on both real and artificial datasets, establish the superior performance and quality of clustering results achieved by the proposed approach. Additionally, the scalability and robustness of S-CIPSO are validated, demonstrating its effectiveness in handling large-scale datasets.
Experimental investigation of acoustically enhanced solute transport in porous media

The effect of acoustic waves on the transport of a conservative tracer in a water saturated column packed with glass beads was investigated. It was observed from the experimental data that the addition of acoustic waves, in the frequency range between 60 to 245 Hz, to a steady background pressure gradient, enhances solute transport compared to the base case consisting of only a background pressure gradient. Furthermore, it was found that the effective velocity of the solute is approximately inversely proportional to the frequency of the acoustic wave.
Existence, uniqueness and continuity results of weak solutions for nonlocal nonlinear parabolic problems

This paper is concerned with the study of a nonlocal nonlinear parabolic problem associated with the equation u t − M ( R Ω φu d x )div ( A ( x, t, u ) ∇ u ) = g ( x, t, u ) in Ω × (0 , T ), where Ω is a bounded domain of R n ( n > 1), T > 0 is a positive number, A ( x, t, u ) is an n × n matrix of variable coeﬃcients depending on u and M : R → R , φ : Ω → R , g : Ω × (0 , T ) × R → R are given functions. We consider two diﬀerent assumptions on g . The existence of a weak solution for this problem is proved using the Schauder ﬁxed point theorem for each of these assumptions. Moreover, if A ( x, t, u ) = a ( x, t ) depends only on the variable ( x, t ), we investigate two uniqueness theorems and give a continuity result depending on the initial data.
Generating Digital City by Using Geo-spatial Data from Laser Measurements

In the field of urban design and landscape design, efficient and probable methods have been researched and developed to generate a digital city which is an urban model made by using three-dimensional computer graphics. This study tried to automatically generate three-dimensional building models with a roof shape and a facade shape in order to improve probability of landscape simulation in surroundings and an efficient urban modeling on computer graphics. The authors used DSM (Digital Surface Model) data, which is acquired by airborne LIDAR (Light Detection and Ranging), and MMS data, which is acquired by MMS (Mobile Mapping System) also known as mobile LIDAR. A building's roof shape was reproduced and interpreted by the DSM data, and a facade shape was reproduced by the MMS data. Finally, the authors proposed a method of performing these automatically.
Key Ecological Processes in Kimberley Benthic Communities: Herbivory

Communities: Herbivory Mat Vanderklift1,7, Richard Pillans1,7 , Lisa De Wever1,7, Gary Kendrick2,7, Andrea Zavala-Perez2,7, Adriana Verges3,7, Ruby Garthwin3,7, Grzegorz Skrzypek4,7, Katherine Cure5,7, Camilla Piggott2,7, Daniel Oades6,7, Phillip McCarthy6,7, Kevin George6,7, Trevor Sampi6,7, Dwayne George6,7, Chris Sampi6,7, Zac Edgar6,7, Kevin Dougal6,7, Azton Howard6,7 1CSIRO Marine and Atmosphere, Indian Ocean Marine Research Centre, Crawley, Western Australia 2School of Biological Sciences and Oceans Institute, The University of Western Australia, Crawley, Western Australia 3School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 4West Australian Biogeochemistry Centre, School of Biological Sciences, The University of Western Australia, Western Australia 5Australian Institute of Marine Science, Indian Ocean Marine Research Centre, Crawley, Western Australia 6Bardi Jawi Rangers, One Arm Point, Western Australia 7Western Australian Marine Science Institution, Perth, Western Australia
Study on a Modified CLLC Converter Paralleling a Resonant Branch With the Transformer for Wide Voltage Range Applications

In this paper, a modified bidirectional CLLC DC/DC converter is proposed to improve the efficiency in wide voltage range applications. The proposed converter adopts a LC series resonant branch parallel with the transformer, so that the equivalent inductance of the parallel branch and the equivalent transformer magnetizing inductor varies with the switching frequency. When the required gain is small and the operating frequency is high, the switch’s turn-off current and the circulating power can be reduced through the large impedance of the LC resonant circuit; When the required gain is large, the switching frequency decreases and the auxiliary branch impedance decreases to obtain a higher voltage conversion ratio. The steady state operation and characteristics of the presented converter are analyzed, a design flowchart and a design example of the modified CLLC are also presented. Furthermore, the model of modified CLLC is established and is reduced for simple analysis. A 48V/400V/800W prototype was built and the experimental results verified the correctness of the proposed converter and the feasibility of the modeling results. Compared with the traditional CLLC resonant converter, the efficiency under wide voltage range application is significantly improved.
Mush microphysics and the reactivation of crystal‐rich magma reservoirs

Reactivation and eruption of upper crustal crystal‐rich magma reservoirs (“crystal mushes”) following recharge has recently been invoked in numerous volcanic systems worldwide. Over the last few years, several models have been proposed for the reactivation of such mushes prior to or during eruptions. These models vary significantly in terms of predicted timescales associated with reactivation, because they assume that different physical mechanisms control the dynamics of this process. A common limitation of all the proposed models is that they parameterize the complex nonlinear multiphase dynamics that govern the evolution of these magmas in their open system reservoirs and rely on simple empirical laws. We argue that microscale physical models are a necessity if one wants to better constrain the evolution of these complex systems and the conditions that lead to eruption. As petrological observations of erupted mushes strongly support a thermal and fluid input from wet magma recharges, we have developed a pore‐scale multiphase heat and fluid transport model to understand the effect of a percolating fluid phase on the partial melting and reactivation of crystal mushes. Specifically, we use lattice Boltzmann calculations to reveal a counterintuitive feedback between volatile transport and melting in crystal‐rich environments. We find that partial melting, even at a low degree, can significantly reduce the efficiency of the buoyant migration of exsolved volatiles in the mush and therefore negatively impact the heat transfer upward during reactivation. This negative feedback between melting and volatile transport is expected to significantly affect the distribution of exsolved volatiles in the reservoirs, as well as the transport of trace species carried by the volatile phase (e.g., S, metals). The presence of a disperse magmatic volatile phase (unconnected bubbles) will also affect the thermomechanical properties of the mush during reactivation, making it more compressible and thermally less conductive.
Artificial Intelligence-Enhanced Learning: A New Paradigm in the “Business Data Analysis and Application” Course

This paper explores the transformative impact of generative artificial intelligence (AI) on the “Business DataAnalysis and Application” course in the post-2023 era, marking a significant paradigm shift in educational methodologies. It investigates how generative AI reshapes teaching and learning dynamics, enhancing the processing of complex data sets and nurturing critical thinking skills. The study highlights the role of AI in fostering dynamic, personalized, and adaptive learning experiences, addressing the evolving pedagogical needs of the business sector. Key challenges, including equitable access, academic integrity, and ethical considerations such as data privacy and algorithmic bias, are thoroughly examined. The research reveals that the integration of generative AI aligns with current professional demands, equipping students with cutting-edge AI tools, and tailoring learning to individual needs through real-time feedback mechanisms. The study concludes that the incorporation of generative AI into this course signifies a substantial evolution in educationalapproaches, offering profound implications for student learning and professional development.
Rubber Band Training Improves Athletic Performance 
in Young Female Handball Players

This study's objective was to investigate the impact of a 10-week in season contrast rubber band training program on athletic performance in young female handball players. Youth athletes (15.8 ± 0.2 years) were randomly assigned to an intervention (n = 16) or a control group (n = 14). The intervention group performed contrast rubber band training (20 sessions over two weeks), while the control group maintained regular in-season training. The modified T-test, squat jump, countermovement jump, standing long jump, repeated sprint ability, 1-RM bench press and half squat, along with upper and lower limb force-velocity tests were performed. The intervention group experienced significantly larger performance enhancements than the control group in the modified T-test [p < 0.001; d = 1.45 %∆ (intervention = −7.1, control = −0.8)], vertical jump [p ≤ 0.009; d ≥ 0.72; %∆ (8.4 < intervention < 19.8, 4.1 < control < 12.2)], 1-RM strength [p ≤ 0.04, d ≥ 0.80; %∆ (37.1 < intervention < 39.7, 7.2 < control < 11.2)], all force-velocity scores for the upper limbs [p ≤ 0.009; d ≥ 0.72; %∆ (21 < intervention < 82, 0.1 < control < 11.6)], three of four force-velocity scores for the lower limb performance [p ≤ 0.02; d ≥ 0.64; %∆ (6.4 < intervention < 31.3, 0.8 < control < 11.1)] and all repeated sprint times [p < 0.001; d ≥ 1.15; %∆ (−3.4 < intervention < −3.1, −1.9 < control < −0.5)]. It was concluded that ten weeks of contrast rubber band training positively affected most motor abilities in youth female handball athletes. Therefore, coaches and practitioners should consider utilizing contrast rubber band strength training as a time and resource-efficient means of improving physical fitness of youth handball players.
Simulation of Direct Extrusion Process of Aluminum Alloy Using the Finite Element Method

Due to the intricate die design, the metal flow and stress distribution in the metal extrusion process are quite complex. This study successfully used the commercial finite element code Deform-3D to simulate the stress distribution in the direct hot extrusion of Al-AA7075 rods. The outcomes demonstrate that the ideal die angle reduces the effective stress intensity. The best die angle for the least effective stress is angle 15°, and the best die angle for the least maximum stress is angle 30°. Moreover, the least load is found at an angle of 15°; the load decreases with an increase in the diameter. Further more, careful design of the extrusion dies profile can therefore control and reduce the stresses, which cause a main defect in product structure, supported that it can be used to minimize the amount of in-homogeneity imparted in to the product, and therefore control the product quality.
Cultivating Independent Character in Students at the Cendekia Berseri School in Makassar City

The world of education has three domains that students must master: cognitive, affective, and psychomotor. The cognitive domain is oriented toward mastery of science and technology, and the affective domain is related to attitude, morality, spirit, and character. In contrast, the psychomotor domain is linked to procedural skills and tends to be mechanical. However, in the reality of learning in schools, efforts are always made to balance these three domains, but in fact, the dominant domain is the cognitive and then psychomotor domains; the result is that students are rich in hard skills but lacking in soft skills because the affective domain is ignored. The speed of technology and the rapid development of the times require people with character who can adapt to their environment and keep up with technological growth. For this reason, character strengthening and education are essential. Researchers use this type of qualitative research because qualitative research requires data and information in the form of descriptions and narratives to reveal the meaning behind the informants' descriptions/descriptions. A child's character will be formed from the habits they get at school and home. Therefore, good cooperation between teachers and parents is needed so that interpretation can occur between the habits made by teachers and parents.
Dangdut Koplo as a Manifestation of Popular Culture In Indonesia

One of the original works of Indonesians is dangdut music, more specifically, dangdut koplo. Dangdut music continues to grow, and the coming of dangdut koplo is accompanied by the human invention of information and communication technology, namely social media. This technology has succeeded in having a positive impact on the work of the nation, namely spreading dangdut koplo to all corners of the islands and even to the corners of the world. The objective of this simple piece of writing is to highlight a popular culture that occurs in Indonesia. One of the results of human thought, especially that of the people of East Java, in terms of art, especially music, can be a type of music that is light, pleasing to the ear, favored by people of all ages, strata, and social statuses, is able to eliminate all kinds of barriers in society, and can be an alternative form of entertainment. The objective of the study is to describe a new culture which emerged from the grassroot but it attracts international attention. The method used is the observation of communication phenomena that occur in society and literature study, which are then linked into propositions that can be used as subjects for the development of the scientific repertoire of culture and communication. It can be concluded that the emergence of dangdut koplo is clear evidence that everyone can produce a work that can be enjoyed by many people and can become a new culture in society that does not discredit previous works but instead strengthens and perfects previous great works.
Synthesis and Characterization of Activated Carbon/Alginate-Fe Composites as Slow Release Fertilizer

Research on the slow release kinetics of Fe(III) ions from Activated Carbon/Alginate-Fe(III) composites or abbreviated as K/A-Fe(III) has been carried out. The aim of this research was to synthesize K/A-Fe(III) composite as a material that has the potential to become a slow release micronutrient fertilizer and to study the kinetics of slow release of Fe(III) ions from the composite. The K/A-Fe(III) composite was synthesized by mixing alginate suspension and activated carbon (alginate: activated carbon weight ratio = 1:3 and 3:1) until homogeneous. Composite grains were characterized using Fourier Transformed Infrared (FTIR) spectroscopy, the kinetics of Fe(III) release from the three composite variations found that KAlg31 composite showed more absorption and release of Fe ions than KAlg13.
Cannabis Use and Its Impact on Mental Health in Youth in Australia and the United States: A Scoping Review

Cannabis is a widely used substance among the youth population, with an estimated 2.8% currently smoking cannabis. Its popularity is growing due to the perception of its harmless nature and lack of dependence. However, this increase in use has been linked to mental health issues, especially since its partial decriminalisation in some part of the United States and Australia. The objective of this scoping review was to investigate the mental health impact of cannabis use among young people in Australia and the United States. A scoping review was conducted according to the Joanna Briggs Institute (JBI) protocol, and articles were searched from ProQuest Central and EBSCO Host (MEDLINE and CINAHL databases). A total of 24 articles were analysed, including systematic reviews, meta-analyses, and cohort, longitudinal, and cross-sectional studies. The findings indicate that cannabis use is associated with depression, psychosis, suicide, cannabis use disorder, dependence, decline in cognitive function, and the development of externalising behaviour, particularly attention deficit hyperactivity disorder. However, the relationship between cannabis use and anxiety is equivocal. Mental health issues were more prevalent with increased frequency, duration, intensity, and type of use. Female, minority, LGBTQI, African American, Aboriginal, and Torres Strait Islander youth and the age of onset of cannabis use were significant factors for the development of mental health problems. The increasing prevalence of cannabis use among high school and college students suggests the need for intervention by teachers, parents, and community health professionals to make them aware of its potential negative mental health outcomes. Moreover, policy-level interventions by the government are required to discourage young people from using cannabis.
New Forms of Neuroactive Phospholipids for DHA Enrichment in Brain

Low levels of docosahexaenoic acid (DHA) in the brain have been related to neurological disorders, like Alzheimer’s disease (AD). After ingestion, dietary DHA must cross the blood–brain barrier, where it is absorbed as lysophosphatidylcholine (LPC), due to its role as a preferential DHA carrier in the brain. This work aimed at the production of LPC-DHA extracts to be used in supplementation/food fortification intended neural enrichment in DHA. As it is rich in DHA, especially its phospholipids (PL), Atlantic mackerel (Scomber scombrus, caught in Spring/2022) was used as a raw material. The polar lipids fraction was separated and hydrolysed with Rhizomucor miehei lipase, to enzymatically convert phosphatidylcholine (PC) into LPC. The fish (muscle and by-products) lipids fraction was used for total lipids (TL) content, lipid classes (LC) and fatty acid (FA) profile evaluation, whilst polar lipids extracts were studied for LC production and FA analysis. Muscle TL ranged between 1.45 and 4.64 g/100 g (WW), while by-products accounted for 7.56-8.96 g/100 g, with the highest contents being found in March. However, PL were more abundant in muscle (22.46–32.20% of TL). For polar lipids extracts, PL represented 50.79% of TL, among which PC corresponded to 57.76% and phosphatidylethanolamine to 42.24%. After hydrolysis, nearly half of this PC was converted into LPC. When compared to the initial PC, DHA relative content (33.6% of total FA) was significantly higher after hydrolysis: 55.6% in PC and 73.6% in LPC. Such extract, obtained from this undervalued species, may represent a promising strategy to increase DHA uptake into brain cells while allowing this species to upgrade.
The role of self-regulation in the relationship between adaptability and engagement: A case of online mathematics learning for elementary school students

The dynamics of students' engagement in online mathematics learning during the pandemic have been completely distinctive from face-to-face learning. To further the investigation, the current study aims to examine the relationship between student adaptability and engagement and the mediating role of self-regulation and grade level, parental education level, student age, and student gender. A total of 339 students, with an average age of 11.16 years, from three public elementary schools in Yogyakarta, Indonesia, participated in this study. The findings demonstrated that: 1) adaptability has a positive and significant effect on student self-regulation, 2) self-regulation has a positive and significant effect on student engagement in online mathematics learning, and 3) adaptability has a significant positive influence on student engagement in both directly and through the mediation of student self-regulation. The study has a significant implication for the student learning environment, especially parental involvement. Recommendations to encourage parental involvement for online learning engagement are made.
Quantifying the Albumin Content of 14 Tropical Maize Varieties in Ghana

There are many maize varieties grown today after the crop was introduced by the Mexicans in pre-historic times. Selective breeding and other techniques has led to the emergence of many other varieties, some with improved qualities [1]. Common maize varieties in Ghana include Obatanpa, Dobidi, Safita-2, Aburotia, Okomasa, Abeleehi, Kawanzie, Dodzi, Dorke, Abontem, Golden crystal among others. Obatanpa and Abontem are examples of Quality Protein Maize (QPM). Most of these varieties were developed by Ghana Grain Development Program, GGDP. Maize has numerous advantages and uses which has an impact on the global food security [2].