Variety Of Dimensions Research Articles

DEVELOPMENT OF RESEARCH COMPETENCE IN HIGH SCHOOL STUDENTS (GRADES 9-11) THROUGH LANGUAGE-CULTURAL EDUCATION

This research investigates the development of research competence among high school students in grades 9 to 11 through language-cultural education. The study aims to assess the efficacy of integrating language-cultural education to enhance students' research capabilities and cultural awareness. Central to this exploration is the recognition of language as a pivotal conduit for nurturing research skills and understanding diverse cultural contexts. Through an immersive approach to language-based cultural learning, the research seeks to evaluate its impact on student's critical engagement with diverse cultures, proficiency in language analysis, and adeptness in employing research methodologies. Employing a mixed-methods approach, this study will involve a sample of high school students engaged in language-cultural education programs. Quantitative assessments will measure improvements in research skills, language proficiency, and cultural understanding. Qualitative methods, including interviews and observations, will provide insights into students' perceptions, experiences, and the qualitative impact of language-cultural education on their research competence. The expected outcomes aim to elucidate the transformative potential of language-cultural education in augmenting students' research acumen and fostering a nuanced understanding of varied cultural dimensions. This research not only seeks to contribute to educational strategies fostering research competence but also aims to empower students as culturally aware researchers poised for the globalized landscape.

Developing Organization using HRM Practices on Employee's Performance: An Empirical Analysis among Private Bank Employees in Tiruchirappalli

For retaining the human resources within the organizations, the firms have to encompass their employee force, since the workforce is considered to be the important source for attaining the competitive gain. The aim of the study is to identify the factors related with employee performance that are affected by the practices of HRM through varied dimensions. Further, the study has attempted to propose a model regarding the practices of HR that can be utilized to test and improve the employee performance. Data was collected from the employees working in private banks of Tiruchirappalli. The sample size of the study is 131. Questionnaire is the tool used for collecting responses from the employees. Analysis of the collected responses have been done through SPSS. Respondents have been selected through simple random sampling and analysis has been done through regression. The results of analysis reveal that there exists a strong relationship of HRM practices with the employee performance, with reference to the employees of private banks in Tiruchirappalli.

Efficiency analysis of path-finding algorithms in a 2D grid environment

<p>This paper offers a focused overview of pathfinding algorithms, particularly emphasizing Greedy Best First Search (G-BFS) and Rapidly-Exploring Random Trees (RRT). Their performance is evaluated within a 2D grid setting tailored for Unmanned Aerial Vehicles (UAVs). Divided into two main sections, the study first expounds on the theoretical underpinnings of these algorithms, followed by empirical validation. A series of systematic experiments, involving varied 2D grid dimensions and traversal patterns, facilitates a comparative analysis between G-BFS and RRT. Importantly, the real-world implementation of these algorithms in UAV navigation underscores their practicality, illuminating their respective execution times and resource utilization. While G-BFS thrives in straightforward scenarios, RRT, especially RRT*, displays superior capability in navigating more intricate and expansive terrains, albeit with marginally extended execution durations attributed to its explorative nature.</p>

The varied dimensions of Character and Citizenship Education in the prism of values in grades 1-2 in Primary Education in Singapore

The article begins with a review and analysis of the literature on Character and Citizenship Education in Singapore in grades 1-2, with particular reference to values in education. The understanding of values in terms of Marwin Berkowitz, Fritz Oser and Wiel Veugelers is the theoretical basis of the article.The analysis of curriculum began with a review of the literature on values in education. The next stage was to analyse the curriculum along with its Core Values (Respect, Responsibility, Resilience, Integrity, Care and Harmony), embodied in the five domains, its three Big Ideas (Identity, Relationship, Choices) and its guiding principles in grades 1-2. Education here comes across as an interaction between various sets of teachers’ values and the ongoing construction of students’ values. The key part of the study is to analyse the Singaporean Character and Citizenship Education, principally its parts which involve the Core Values. Key Understandings and Key Questions make it possible for students to become involved in the variance of values in a constructive and critical manner. Documents concerning the subject of the analysis were studied by means of a problem method, which is based on an educational phenomenon examining various consistent factors related to time and society.

On the $\lambda$-invariant of Selmer Groups Arising from Certain Quadratic Twists of Gross Curves

Let $q$ be a prime with $q \equiv 7 \mod 8$, and let $K=\mathbb{Q}(\sqrt{-q})$. Then $2$ splits in $K$, and we write $\mathfrak{p}$ for either of the primes $K$ above $2$. Let $K_\infty$ be the unique $\mathbb{Z}_2$-extension of $K$ unramified outside $\mathfrak{p}$. For certain quadratic and biquadratic extensions $\mathfrak{F}/K$, we prove a simple exact formula for the $\lambda$-invariant of the Galois group of the maximal abelian 2-extension unramified outside $\mathfrak{p}$ of the field $\mathfrak{F}_\infty = \mathfrak{F} K_\infty$. Equivalently, our result determines the exact $\mathbb{Z}_2$-corank of certain Selmer groups over $\mathfrak{F}_\infty$ of a large family of quadratic twists of the higher dimensional abelian variety with complex multiplication, which is the restriction of scalars to $K$ of the Gross curve with complex multiplication defined over the Hilbert class field of $K$. We also exhibit computations of the associated Selmer groups over $K_n$ in the case when the $\lambda$-invariant is equal to $1$; here $K_n$ denotes the $n$-th layer of $K_\infty/K$.

2D semiconductor nanosheets for solar photocatalysis

AbstractIn the advancing world of graphene, highly anisotropic 2D semiconductor nanosheets, notable for their nanometer‐scale thickness, have emerged as a leading innovation, displaying immense potential in the exploration of renewable and clean energy production. These have garnered significant attention from researchers. The nanosheets are marked by their extraordinary electronic, optical, and chemical attributes, positioning them as attractive foundational components for heterogeneous photocatalysts. This review diligently summarizes both the seminal work and ongoing developments pertaining to 2D semiconductor nanosheets and their application to solar energy within the context of heterogeneous photocatalysis. We begin by detailing the distinctive properties of 2D semiconductor nanosheets, concentrating on their pivotal roles in augmenting photocatalytic efficiency, and explaining the intrinsic mechanisms that govern the migration rate of photogenerated carriers on the material's surface. Subsequently, we delineate the methods employed to synthesize typical 2D semiconductor nanosheets. In alignment with the overarching objective of expanding light absorption capacity and accelerating charge transfer, we also examine the current research on the hybridization techniques involving 2D materials of varied dimensions, as well as their deployment in diverse photocatalytic applications. We conclude by identifying promising avenues and potential challenges that await further exploration in this burgeoning field.

Analysis of the Literature on the Role of Physical Activity in Improving Wellbeing and Quality of Life

This study undertakes a thorough bibliometric analysis to investigate how the body of research on the benefits of physical activity for improving wellbeing and quality of life is changing. The study examines authorship patterns, citation networks, theme clusters, and keyword co-occurrences using data from well-known databases in order to offer a comprehensive picture of the area. Important writers including DER Warburton, CE Garber, and WL Haskell have produced seminal works that serve as a basis for international principles and recommendations. The impact of physical activity on overall health to the impact of adolescent and mental health are just a few of the varied dimensions covered by thematic clusters in the research. Recurring themes are found by keyword co-occurrence analysis, one of which being the general impact of physical activity on life and quality. Unexplored topics, such how exercise affects diseases like multiple sclerosis and the COVID-19 pandemic's effects, indicate areas that warrant more study. The amalgamation of results provides significant perspectives for scholars, professionals, and decision-makers seeking to propel understanding and guide evidence-based solutions concerning physical activity and wellness.

The Nature of Gender Difference in The Effectiveness of GeoGebra

GeoGebra is a type of Dynamic Geometric Software (DGS) that has been widely used to teach Mathematics. A substantial research study was done to investigate the effectiveness of GeoGebra to enhance students’ learning in mathematics from varied dimensions. In this research, a systematic review of the effectiveness of GeoGebra to enhance students’ learning in mathematics from varied dimensions was conducted using PRISMA’s procedure. The use of GeoGebra as one of STEM education instrument has yet to be discovered. Thus, the further study of its effectiveness is needed. 11 articles between 2011-2020 have been analysed. The distribution of the accessed articles over the years were up and down by heading to its declining trend from 2011 to 2020. The distribution of origin in the accessed articles by country of origin shows that Asia dominated this study with six articles (55%), while Africa with three articles (27%) and North America and Europe, respectively produced one paper (9%). All accessed articles conclusively stated that GeoGebra can improve students and pupils cognitive and affective dimensions. In terms of gender difference, the conclusive findings show no gender difference on the effectiveness of GeoGebra in the teaching and learning of mathematics.

Ceramic thin-film composite membranes with tunable subnanometer pores for molecular sieving

Ceramic membranes are a promising alternative to polymeric membranes for selective separations, given their ability to operate under harsh chemical conditions. However, current fabrication technologies fail to construct ceramic membranes suitable for selective molecular separations. Herein, we demonstrate a molecular-level design of ceramic thin-film composite membranes with tunable subnanometer pores for precise molecular sieving. Through burning off the distributed carbonaceous species of varied dimensions within hybrid aluminum oxide films, we created membranes with tunable molecular sieving. Specifically, the membranes created with methanol showed exceptional selectivity toward monovalent and divalent salts. We attribute this observed selectivity to the dehydration of the large divalent ions within the subnanometer pores. As a comparison, smaller monovalent ions can rapidly permeate with an intact hydration shell. Lastly, the flux of neutral solutes through each fabricated aluminum oxide membrane was measured for the demonstration of tunable separation capability. Overall, our work provides the scientific basis for the design of ceramic membranes with subnanometer pores for molecular sieving using atomic layer deposition.

Identifying the Factors of E-service Quality among Indian Millennial Streaming Service Users

This research sought to explore the preferences of Indian Millennial in the realm of streaming services, specifically focusing on music. The goal was to uncover the intricate connections between various quality dimensions within six services: web design, performance, personalization, trust, satisfaction, and repurchase intention. Employing an e-service quality measurement and a quantitative research methodology, the study distributed questionnaires to 400 Indian millennial known for their heavy usage of music streaming services, gathered from local private colleges and universities. Data analysis involved descriptive analysis and partial least squares for structural modeling. The study's findings indicated significant associations between web design, customization, and repurchase intention. Performance factors, such as reliability and responsiveness, played a crucial role in satisfaction, and a link between satisfaction and repurchase intention was established. Notably, trust did not show a significant influence on purchase intention. These findings contribute valuable insights that can be applied not only to streaming music services but also to other e-services, aiding in the development of quality metrics to assess customer-centric effectiveness. The suggestion for future research includes exploring different types of e-services with varied quality dimensions for a comprehensive and comparative analysis.Top of Form

Advancing perovskite solar cell performance: Enhanced efficiency and stability through superimposed PbS QDs

This study investigates enhancing efficiency in thin-film photovoltaic devices by incorporating varying-sized superimposed PbS colloidal quantum dots (CQDs). These CQDs offer tunable near-infrared absorption, multiple exciton generation effects, and solution processability, rendering them promising for improved performance. Superimposing QDs of different sizes extends the device's absorption spectrum beyond conventional limits, utilizing tailored absorption coefficients for broader sunlight wavelength utilization and increased solar energy conversion efficiency. Each QD group exhibits a unique absorption coefficient, with a peak at its central wavelength from the Schrödinger equation solution. Spectral analysis reveals strategic enhancement in light absorption across visible and near-infrared regions, broadening the perovskite absorption range beyond 800 nm. These QDs enhance both infrared and visible spectra, improving light harvesting. Summing the absorption of single QD groups creates a continuous spectrum, enhancing perovskite film stability and morphology. Rigorous optical analysis and comprehensive electrical modeling investigate charge carrier interactions within the photovoltaic framework. The study verifies around 24 % efficacy enhancement compared to QD-absent configurations, surpassing uniformly dispersed QDs by 11 %. Optical and electrical analyses yield a short-circuit current of 26.7 mA/cm2, open-circuit voltage of 1.13 V, fill factor of 0.88, and overall efficiency of 25.12 % in superimposed configurations. Results underscore the significance of varied QD dimensions and layered structures for enhanced absorption, offering a promising route for advancing thin-film solar technology. The study showcases the potential of PbS CQDs with varying radii in photovoltaics, contributing to improved efficiency and stability, with implications for the future of solar energy technology.

Defects of codes from higher dimensional algebraic varieties

Defects of codes from higher dimensional algebraic varieties

Microfluidic Design of Streamlined Alginate Hydrogel Micromotors with Run and Tumble Motion Patterns.

Autonomous micromotors demonstrate remarkable advancements in biomedical applications. A noteworthy example is streamlined motors, which display enhanced movement efficiency with low fluid-resistance. However, existing streamlined motors, primarily constructed from inorganic materials, present challenges due to their complex fabrication procedures and lack of a soft interface for interaction with biological systems. Herein, a novel design of biodegradable streamlined alginate hydrogel micromotors with a teardrop shape by microfluidics is introduced. The platform enables the high-throughput fabrication of monodisperse micromotors with varied dimensions. By incorporating Pt-coated Fe3 O4 nanoparticles, micromotors are equipped with dual capabilities of catalytic propulsion and accurate magnetic guidance. Through precisely tuning the localization regions of catalysts within the micromotors, the streamlined hydrogel micromotors not only exhibit enhanced propelling efficiency, but also accomplish distinct motion patterns of run and tumble. The design provides insights for developing advanced micromotors capable of executing intricate tasks across diverse application scenarios.

Drosophila CASK regulates brain size and neuronal morphogenesis, providing a genetic model of postnatal microcephaly suitable for drug discovery

BackgroundCASK-related neurodevelopmental disorders are untreatable. Affected children show variable severity, with microcephaly, intellectual disability (ID), and short stature as common features. X-linked human CASK shows dosage sensitivity with haploinsufficiency in females. CASK protein has multiple domains, binding partners, and proposed functions at synapses and in the nucleus. Human and Drosophila CASK show high amino-acid-sequence similarity in all functional domains. Flies homozygous for a hypomorphic CASK mutation (∆18) have motor and cognitive deficits. A Drosophila genetic model of CASK-related disorders could have great scientific and translational value.MethodsWe assessed the effects of CASK loss of function on morphological phenotypes in Drosophila using established genetic, histological, and primary neuronal culture approaches. NeuronMetrics software was used to quantify neurite-arbor morphology. Standard nonparametric statistics methods were supplemented by linear mixed effects modeling in some cases. Microfluidic devices of varied dimensions were fabricated and numerous fluid-flow parameters were used to induce oscillatory stress fields on CNS tissue. Dissociation into viable neurons and neurite outgrowth in vitro were assessed.ResultsWe demonstrated that ∆18 homozygous flies have small brains, small heads, and short bodies. When neurons from developing CASK-mutant CNS were cultured in vitro, they grew small neurite arbors with a distinctive, quantifiable “bushy” morphology that was significantly rescued by transgenic CASK+. As in humans, the bushy phenotype showed dosage-sensitive severity. To overcome the limitations of manual tissue trituration for neuronal culture, we optimized the design and operation of a microfluidic system for standardized, automated dissociation of CNS tissue into individual viable neurons. Neurons from CASK-mutant CNS dissociated in the microfluidic system recapitulate the bushy morphology. Moreover, for any given genotype, device-dissociated neurons grew larger arbors than did manually dissociated neurons. This automated dissociation method is also effective for rodent CNS.ConclusionsThese biological and engineering advances set the stage for drug discovery using the Drosophila model of CASK-related disorders. The bushy phenotype provides a cell-based assay for compound screening. Nearly a dozen genes encoding CASK-binding proteins or transcriptional targets also have brain-development mutant phenotypes, including ID. Hence, drugs that improve CASK phenotypes might also benefit children with disorders due to mutant CASK partners.

Differential codes on higher dimensional varieties via Grothendieck's residue symbol

We give a new construction of linear codes over finite fields on higher dimensional varieties using Grothendieck's theory of residues. This generalizes the construction of differential codes over curves to varieties of higher dimensions.

Latent heat thermal energy storage in a shell-tube design: Impact of metal foam inserts in the heat transfer fluid side

The improvement of heat transfer in latent heat thermal energy storage (LHTES) system is a crucial task. In the current study, the impact of diverse metal foam (MF) layer arrangements on heat transfer fluid (HTF) within a shell-tube LHTES is explored. Six distinct cases (A-F) with varied MF coverage percentages and layer dimensions were assessed. The local thermal non-equilibrium model was utilized to take into account the PCM and MF temperatures. The finite element method was used for solving the partial differential equations. The impact of MF configurations and inlet pressures (250 Pa, 500 Pa, and 750 Pa) on the thermal energy storage/release was addressed. Cases A-C, featuring a 50 % MF concentration, exhibit shorter melting times than Cases DF, with decreasing MF concentrations. A higher MF concentration improves the melting process due to increased thermal conductivity and lower thermal resistance on the HTF side. Cases DF, with a centralized MF layer and decreasing concentrations from 25 % to 6.25 %, display progressively shorter melting times, suggesting that a lower MF concentration leads to more efficient melting. Solidification times also decrease with increasing inlet pressures across all cases. Reynolds numbers, influenced by average HTF tube outlet velocity, vary substantially across cases and inlet pressure differences. Cases A-C demonstrate similar Reynolds numbers for each inlet pressure difference, while Cases DF show a more pronounced increase in Reynolds numbers as the MF layer is reduced and flow resistance drops. Cases A (50 % MF layer) and F (6.5 % MF layer) provide the quickest charging and discharging times due to their unique combination of MF layer properties and inlet pressures. The study highlights the need to consider MF layer composition and inlet pressure when designing optimal LHTES systems for efficient energy storage/release.

Farmer typologies integrating latent and observed characteristics: Insights for soil and water conservation outreach

One of the fundamental rules of effective communication is to “know your audience.” When engaging farmers in conservation in the U.S. and elsewhere where their participation is voluntary, communication should start with the fundamental recognition that farmers are heterogeneous in many ways; their attitudes, values, and motivations, as well as their farms’ biophysical and economic characteristics, can influence their behaviors. Previous typology research in Iowa, USA using data from a panel survey of farmers, revealed heterogeneity by identifying four types of farmers—Conservationists, Deliberative, Productivists, and Traditionalists—based on latent class analysis of variables measuring varied dimensions of awareness, attitudes, beliefs, perceived motivations, and barriers to practice adoption. The study presented in this article advances the typology by associating observable variables from the same survey (e.g., farmer demographics, farm enterprises, participation in conservation programs, adoption of conservation practices) with the four farmer types. The Conservationist type was the most educated and indicated a high intention of adopting cover crops. The Deliberative type tended not to have a conservation plan with the U.S. Department of Agriculture Natural Resources Conservation Service. The Productivist farmer farmed the most land, rented and owned, and had the highest no-till implementation in land size and percentage of the group. The Traditionalist type rented the least amount of land. We expect outreach professionals, watershed coordinators, and conservation practitioners can use observable characteristics to segment the farmer population and improve conservation messages by tailoring them to the specific farmer types, leading to a higher return on investment in terms of money, time, and goodwill.

Highly efficient B(OH)3 removal by single-layered graphene membrane with embedded crown nanopores

Trace boron in seawater, usually presented as boric acid (B(OH)3), should be firstly transformed into ionic state, in desalination plants, which represents high energy consumption and high cost. Therefore, direct removal of B(OH)3 is significant and energy-efficient for industrial boron removal, which is still a great challenge. A very recent work [Desalination, 533 (2022) 115755] provides strong theoretical guidance on making efficient boron removal devices utilizing 2D materials with hydrophilic pores. However, limited effort has devoted to explore other 2D porous membrane aiming at further improving the performance of boron acid removal. Herein, using molecular dynamics (MD) simulation, we investigated the effect of single-layered graphene nanosheet embedded with hydrophilic crown nanopores on the direct removal of boric acid. We construct six typical graphene crown pores with varied pore dimensions. Our MD results demonstrate that the utilized graphene crown pores show high water permeability, simultaneously accompanied by an outstanding B(OH)3 rejection (mostly over 90%). The water permeabilities through the crown pores achieve a highest value of 6.01 L cm−2 day−1 MPa−1. Remarkably, the water fluxes in each pore are evaluated to be 2.15 ∼ 20.1 × 1013 per day per MPa per pore, featuring 1–2 orders of magnitude improvement compared with the previous best report of 2-dimensional nanopores, with the comparable B(OH)3 rejection. Free energy calculations indicate that a water molecule is energetically more favorable to transport through graphene crown nanopore than B(OH)3. Our findings highlight that a porous graphene embedded with hydrophilic crown nanopores can be not only used for efficaciously removing B(OH)3 but also enable the fast water flow, which is desirable in desalination plants.

Axial compression behaviour of welded high-strength H-columns experimental tests and numerical simulations

High-strength steel has been produced and utilised in construction practice in recent years. Even though experimental studies and numerical simulations have been carried out on high-strength steel columns, design methods for columns have not been fully considered in national codes. This paper describes the overall buckling resistance of welded H-columns made of high-strength steel plates. Six steel columns with varied cross-sectional dimensions and slendernesses were compressed to failure in the experimental tests. The ultimate load and failure pattern of columns were determined and compared with values calculating per different national codes. Moreover, numerical simulations were also performed for high-strength steel columns, and residual stresses and initial bendings were considered in the model. The numerical model was verified using test data, and then parametric studies were conducted on the effects of height-to-width ratios of H-sections and slendernesses of columns on ultimate load. The numerical results of the buckling coefficient were also compared with design values following different design codes, and recommendations were made for the overall buckling design of high-strength steel H-columns in accordance with experimental results and numerical simulations.

Surjective morphisms from affine space to its Zariski open subsets

We prove constructively the existence of surjective morphisms from affine space onto certain open subvarieties of affine space of the same dimension. For any algebraic set [Formula: see text], we construct an endomorphism of [Formula: see text] with [Formula: see text] as its image. By Noether’s normalization lemma, these results extend to give surjective maps from any [Formula: see text]-dimensional affine variety [Formula: see text] to [Formula: see text].