Materials Science Research Articles

Development of E-Worksheet Inquiry-Flipped Classroom on Chemical Equilibrium Material To Improve Students' Analytical Thinking Skills

One of the skills that students must have in the 21st century is analytical thinking skills. Learning media that can support this is needed to facilitate learning and practice analytical thinking skills. One learning media that can be used is an electronic student activity sheet (e-worksheet). This research aims to produce a product in the form of an e-worksheet suitable for use to improve students' analytical thinking skills on chemical equilibrium material. The feasibility of the e-worksheet is reviewed on its validity, effectiveness, and practicality. The method used is the research and development of 4D models consisting of definition, design, development, and deployment. This research was limited to the development stage by conducting a limited trial on students in grades XI-8 of SMAN 7 Surabaya who had studied chemical equilibrium material. The data collection technique of this research uses questionnaire, observation, and test methods. The research instruments used in this study include study sheets, validation sheets, student response questionnaire sheets, observation sheets, and test sheets. This study was analyzed using the N-gain test and the Wilcoxon test. The results of the validation of the e-worksheet from the aspects of content validity and construct validity obtained a mode of 4 so that it can be declared very valid for use. The results of the student response questionnaire reached an average of 98% positive responses in the very practical category. The results of the analysis of pretest and post-test data were obtained to improve analytical thinking skills, which was shown by 80% of students receiving an N-gain score of ≥ 0.7 with a high category and based on the Wilcoxon test, a P-Value value of 0.000 (< 0.05) was obtained which stated that there was a significant difference between the pretest and posttest scores Learners. From the results of the N-Gain analysis and the Wilcoxon Test, the e-worksheet was declared effective. It was concluded that the flipped classroom inquiry e-worksheet on chemical equilibrium material is suitable for training students' analytical thinking skills.

Comparative Effects of Water Scarcity on the Growth and Development of Two Common Bean (Phaseolus vulgaris L.) Genotypes with Different Geographic Origin (Mesoamerica/Andean)

Drought stress is widely recognized as a highly detrimental abiotic stress factor that significantly impacts crop growth, development, and agricultural productivity. In response to external stimuli, plants activate various mechanisms to enhance their resistance or tolerance to abiotic stress. The common bean, a most important legume according to the FAO, serves as a staple food for millions of people worldwide, due to its rich protein, carbohydrate, and fiber content, concurrently, and water scarcity is the main factor limiting common bean production. The process of domestication and on-farm conservation has facilitated the development of genotypes with varying degrees of drought stress resistance. Consequently, using landraces as biological material in research can lead to the identification of variants with superior resistance qualities to abiotic stress factors, which can be effectively integrated into breeding programs. The central scope of this research was to find out if different geographic origins of common bean genotypes can determine distinct responses at various levels. Hence, several analyses were carried out to investigate responses to water scarcity in three common bean genotypes, M-2087 (from the Mesoamerican gene pool), A-1988 (from the Andean gene pool) and Lechinta, known for its high drought stress resistance. Plants were subjected to different water regimes, followed by optical assessment of the anatomical structure of the hypocotyl and epicotyl in each group; furthermore, the morphological, physiological, and biochemical parameters and molecular data (quantification of the relative expression of the thirteen genes) were assessed. The three experimental variants displayed distinct responses when subjected to 12 days of water stress. In general, the Lechinta genotype demonstrated the highest adaptability and drought resistance. The M-2087 landrace, originating from the Mesoamerican geographic basin, showed a lower resistance to water stress, compared to the A-1988 landrace, from the Andean basin. The achieved results can be used to scale up future research about the drought resistance of plants, analyzing more common bean landraces with distinct geographic origins (Mesoamerican/Andean), which can then be used in breeding programs.

2‐Azetine Derivatives as a Class of New Monomers for Controlled Ring‐Opening Metathesis Polymerization towards Polyenamides†

Comprehensive SummaryNitrogen‐containing polymers have found a wide myriad of applications in materials science and other different areas, and have attracted much attention towards the development of new synthetic methods. Ring‐opening metathesis polymerization represents an area of great versatility and potential for the synthesis of highly functionalized polymers with low dispersity and control over molecular weight and architecture complexity. Expanding the scope of monomers through the incorporation of nitrogen atoms would further expand their utilities. In this work, a controlled synthesis of polymers with in‐chain enamide moiety through ring‐opening metathesis polymerization was developed by utilizing azetine derivatives as the monomers. Relatively short synthetic routes were designed and generated a panel of five monomers. The polymerization exhibited living characteristics, as linear relationship between molecular weights and degrees of polymerization and relatively narrow molar mass distributions were observed, which was further confirmed by successful diblock copolymers formation through sequential addition of two monomers. The resulting polymers that contain the enamide moiety within the backbone exhibited good stability and underwent facile degradation under acidic conditions.

The Journey for the Synthesis of Large Acenes.

Acenes, the group of polycyclic aromatic hydrocarbons (PAHs) with linearly fused benzene rings, possess distinctive electronic properties with potential applicability in material science. Hexacene was the largest acene obtained and characterized in the last century, followed by heptacene in 2006. Since then, a race for obtaining the largest acene resulted in the development of several members of this family as well as diverse innovative synthetic strategies, from solid-state chemistry to the promising on-surface chemistry. This last technique allows the obtention of higher acenes, up to tridecacene, the largest acene so far. This review presents the different methodologies employed for the synthesis of acenes, highlighting the newest studies, to provide a much more thorough understanding of the essence of the electronic structure of this captivating group of organic compounds.

High accuracy solutions for the Pochhammer–Chree equation in elastic media

This study investigates the nonlinear Pochhammer–Chree equation, a model crucial for understanding wave propagation in elastic rods, through the application of the Khater III method. The research aims to derive precise analytical solutions and validate them using He’s variational iteration method (VIM). The Pochhammer–Chree equation’s relationship to other nonlinear evolution equations, such as the Korteweg-de Vries and nonlinear Schrödinger equations, underscores its significance in the field of nonlinear wave dynamics. The methodology employs the Khater III method for deriving analytical solutions, while He’s VIM serves as a numerical validation tool, ensuring the accuracy and stability of the obtained results. This dual approach not only yields novel solutions but also provides a robust framework for analyzing complex wave phenomena in elastic media. The findings of this study have significant implications for material science and engineering applications, offering new insights into the behavior of waves in elastic rods. By bridging the gap between theoretical models and practical applications, this research contributes to the advancement of both mathematical theory and physical understanding of nonlinear wave dynamics. Situated within the domain of applied mathematics, with a focus on nonlinear wave equations, this work exemplifies the interdisciplinary nature of contemporary research in mathematical physics. The results presented herein open new avenues for future investigations in related fields and highlight the potential for innovative applications in material science and engineering.

A review on development of enzymatic biosensors for industrial applications

Enzymatic biosensors are vital tools across various industries due to their high specificity, sensitivity, and rapid response times. They are extensively used in medical diagnostics for monitoring biomarkers like glucose and lactate, environmental monitoring to detect pollutants, food safety and quality assurance, bioprocess control in industrial fermentation, pharmaceutical drug development and quality control, soil health and agrochemical detection in agriculture, and for identifying biological warfare agents. However, several challenges limit their broader adoption and effectiveness in industrial settings. Key challenges include enzyme stability, as enzymes can denature under extreme environmental conditions, reducing sensor lifespan and performance. Variability in enzyme activity and immobilization techniques also leads to inconsistencies, affecting sensor reproducibility and reliability. Complex sample matrices, such as those in environmental and food samples, introduce interference that can affect sensor accuracy. Integrating biosensors into existing industrial processes is another significant challenge, requiring compatibility with automated systems and real-time data processing capabilities. Additionally, high production costs and scalability issues hinder widespread adoption. Regulatory and standardization barriers further complicate the development and deployment of enzymatic biosensors. Despite these limitations, advancements in materials science, nanotechnology, and bioengineering are paving the way for more robust and reliable biosensors. Innovations such as nanomaterial-based enzyme immobilization, synthetic biology for enzyme engineering, and advanced data analytics integration hold promise for overcoming current limitations. Collaborative efforts among researchers, industry stakeholders, and regulatory bodies are essential to accelerate the development and application of enzymatic biosensors in industrial settings. While enzymatic biosensors offer significant potential, addressing these challenges through ongoing research and technological advancements is crucial for their widespread implementation and optimization.

Mechanically Triggered Bright Chemiluminescence from Polymers by Exploiting a Synergy between Masked 2-Furylcarbinol Mechanophores and 1,2-Dioxetane Chemiluminophores.

Mechanoluminescence, or the generation of light from materials under external force, is a powerful tool for biology and materials science. However, direct mechanoluminescence from polymers remains limited. Here, we report a novel design strategy for mechanoluminescent polymers that leverages the synergy between a masked 2-furylcarbinol mechanophore for mechanically triggered release and an adamantylidene-phenoxy-1,2-dioxetane chemiluminophore payload. Ultrasound-induced mechanochemical activation of polymers, in both organic and aqueous solutions, triggers a cascade reaction that ultimately results in bright green light emission. This novel strategy capitalizes on the modularity of the masked 2-furylcarbinol mechanophore system in combination with advances in the design of exceptionally bright and highly tunable adamantylidene-1,2-dioxetane chemiluminophores. We anticipate that this chemistry will enable diverse applications in optoelectronics, sensing, bioimaging, optogenetics, and many other areas.

Extrusion-Based Bioprinting in a Cost-Effective Bioprinter

Three-dimensional (3D) bioprinting has emerged as a revolutionary approach in the life sciences, combining multiple disciplines such as computer engineering, materials science, robotics, and biomedical engineering. This innovative technology enables the production of cellular constructs using bio-inks, and differs from conventional 3D printing by incorporating living cells. The present work addresses the conversion of a commercial thermoplastic 3D printer into a low-cost bioprinter. The modification addresses the challenges of the high cost of commercial bioprinters, limited adaptability, and specialized personnel requirements. This modification uses an extrusion-based bioprinting method that is particularly popular in research due to its viscosity tolerance and versatility. The individual steps, including replacing the extruder with a syringe pump, rebuilding the electronic motherboard, and configuring the firmware, are explained in detail. The work aims at providing access to bioprinting technology so that laboratories with modest resources can take advantage of the immense potential of this technology. This modification resulted in improved resolution, allowing submicron movements, which is comparable to some of the commercially available bioprinters. The accuracy of the modified printer was validated using hydrogel bioprinting tests, suggesting that it is suitable for broader applications in regenerative medicine.

Molecular Dynamics Simulations of Effects of Geometric Parameters and Temperature on Mechanical Properties of Single-Walled Carbon Nanotubes

Carbon nanotubes (CNTs) are considered an advanced form of carbon. They have superior characteristics in terms of mechanical and thermal properties compared to other available fibers and can be used in various applications, such as supercapacitors, sensors, and artificial muscles. The properties of single-walled carbon nanotubes (SWNTs) are significantly affected by geometric parameters such as chirality and aspect ratio, and testing conditions such as temperature and strain rate. In this study, the effects of geometric parameters and temperature on the mechanical properties of SWNTs were studied by molecular dynamics (MD) simulations using the Large-scaled Atomic/Molecular Massively Parallel Simulator (LAMMPS). Based on the second-generation reactive empirical bond order (REBO) potential, SWNTs of different diameters were tested in tension and compression under different strain rates and temperatures to understand their effects on the mechanical behavior of SWNTs. It was observed that the Young’s modulus and the tensile strength decreases with increasing SWNT tube diameter. As the chiral angle increases, the tensile strength increases, while the Young’s modulus decreases. The simulations were repeated at different temperatures of 300 K, 900 K, 1500 K, 2100 K and different strain rates of 1 × 10−3/ps, 0.75 × 10−3/ps, 0.5 × 10−3/ps, and 0.25 × 10−3/ps to investigate the effects of temperature and strain rate, respectively. The results show that the ultimate tensile strength of SWNTs increases with increasing strain rate. It is also seen that when SWNTs were stretched at higher temperatures, they failed at lower stresses and strains. The compressive behavior results indicate that SWNTs tend to buckle under lower stresses and strains than those under tensile stress. The simulation results were validated by and consistent with previous studies. The presented approach can be applied to investigate the properties of other advanced materials.

Controlled Chemical‐Patterning of Textile to Accelerate Anti‐Gravity Water Flow

AbstractBio‐inspired unidirectional flow of tiny aqueous droplets across the fibrous substrate paved the way for the emergence of various advanced materials. In the past, textiles decorated with noncontact‐based wettability‐patterns enabled unidirectional water flow—without flooding the top surface by the transferred water. However, such approaches mostly suffer from a low (≈0.176 µL mm−2 s−1) flow rate and are likely to delay the overall liquid ejection process. Here, a chemically reactive coating capable of tailoring water wettability (121.3° ± 2.4° to 153.3° ± 1.8°) is introduced on commercially available textiles to develop chemically modulated wettability‐pattern for achieving a rapid (2.57 ± 0.28 µL mm−2 s−1) flow rate of water against the gravity with an ability to roll the accumulated liquids on the top surface. The spatially selected and controlled chemical modification with hydrophilic and hydrophobic small molecules through a 1, 4‐conjugate addition reaction yielded a 3D channel with a customized wettability gradient. The pinning and depinning of invaded water through such chemically decorated channels enabled unidirectional and fast penetration of liquid, where the water penetration resistance largely depends on the water penetration direction and dimension of the chemically modulated channels.

The importance of interlaboratory studies for robust measurements of graphene and other 2D materials

Abstract This perspective article presents the current state of interlaboratory studies in graphene and other 2D materials. These interlaboratory studies are mostly coordinated via the Versailles Project on Advanced Materials and Standards (VAMAS) and are crucial in establishing robust and validated protocols for measuring key properties of these materials. These protocols can then be included in international documentary standards. We summarise the key findings of completed studies and outline the approach of those that are currently underway. An outline of future needs is also presented, highlighting gaps in the current scope of activities and therefore where the focus of future studies should be.

Dentofacial deformities and their management in prosthodontic practice

Dentofacial deformities encompass a wide range of skeletal and dental discrepancies that can significantly impact a patient's oral function, aesthetics, and overall quality of life. These deformities can arise from congenital, developmental, or acquired factors, each contributing to the complexity of diagnosis and treatment. Congenital conditions, such as cleft lip and palate and genetic syndromes, often result in significant craniofacial anomalies. Developmental disturbances, including hormonal imbalances and nutritional deficiencies, can further exacerbate these conditions. Additionally, trauma, infections, and neoplasms play a critical role in the etiology of acquired dentofacial deformities. Effective management of dentofacial deformities in prosthodontics requires a multidisciplinary approach, integrating orthodontics, oral and maxillofacial surgery, and advanced prosthodontic techniques. Diagnostic advancements, including 3D imaging and digital workflows, facilitate precise planning and customization of prosthetic solutions. Orthodontic treatment and orthognathic surgery are pivotal in correcting skeletal discrepancies and establishing a stable foundation for prosthodontic rehabilitation. Post-surgical prosthodontic interventions involve the use of high-strength ceramics, zirconia, and biocompatible implant materials to restore dental function and aesthetics. Technological advancements have revolutionized prosthodontic practice. computer-aided design and computer-aided manufacturing (CAD/CAM) technology allows for the accurate design and fabrication of prosthetic components, enhancing treatment predictability and efficiency. The development of minimally invasive techniques, such as guided implant surgery and laser applications, has reduced procedural invasiveness and improved patient outcomes. The integration of digital tools and advanced materials has significantly enhanced the precision, durability, and aesthetic quality of prosthetic restorations. Overall, the advances in prosthodontic techniques and materials have greatly improved the management of dentofacial deformities, offering patients better functional and aesthetic results. Continued innovation and research are essential to address the complex challenges associated with these deformities, ultimately enhancing patient care and outcomes in prosthodontic practice.

Experimental evaluation on in-soil water migration reducing performance of restraining moisture geotextile (RMG)

Engineering materials such as geosynthetics clay liners (GCL) and gravel layers are effective to cut off the in-soil water migration and have been widely employed to stabilize the moisture content of subgrades. However, the moisture stabilizing performance of GCL or gravel layer is usually compromised due to the complexity of service condition. This paper introduces an engineering material named restraining moisture geotextiles (RMG), which is expected to show low permeability as GCL. With characterization of basic properties of RMG, moisture migration column test of silty soil and test cases with employments of RMG, GCL, and gravel layer are performed, respectively. The temperature and moisture fields of soil columns subjected to a freezing-thawing process are measured, and the capillarity and in-soil water migrating behavior are analyzed. Carbon footprints of GCL and RMG are compared and discussed. Test results show that RMG, GCL and gravel layer are effective to cut off the capillarity, but the gravel layer can result in higher moisture content in silty soil due to the vapor migration and capillary isolation. In conclusion, RMG can be an alternative method with low permeability on reducing the in-soil water migration, and is much lighter and more engery-efficient than GCL.

Manganite memristive devices: recent progress and emerging opportunities

Manganite-based memristive devices have emerged as promising candidates for next-generation non-volatile memory and neuromorphic computing applications, owing to their unique resistive switching behavior and tunable electronic properties. This review explores recent innovations in manganite-based memristive devices, with a focus on materials engineering, device architectures, and fabrication techniques. We delve into the underlying mechanisms governing resistive switching in manganite thin films, elucidating the intricate interplay of oxygen vacancies, charge carriers, and structural modifications. This review underscores breakthroughs in harnessing manganite memristors for a range of applications, from high-density memory storage to neuromorphic computing platforms that mimic synaptic and neuronal functionalities. Additionally, we discuss the role of characterization techniques and the need for a unified benchmark for these devices. We provide insights into the challenges and opportunities associated with the co-integration of manganite-based memristive devices with more mature technologies, offering a roadmap for future research directions.

Recent Progress in Artificial Neurons for Neuromodulation

Driven by the rapid advancement and practical implementation of biomaterials, fabrication technologies, and artificial intelligence, artificial neuron devices and systems have emerged as a promising technology for interpreting and transmitting neurological signals. These systems are equipped with multi-modal bio-integrable sensing capabilities, and can facilitate the benefits of neurological monitoring and modulation through accurate physiological recognition. In this article, we provide an overview of recent progress in artificial neuron technology, with a particular focus on the high-tech applications made possible by innovations in material engineering, new designs and technologies, and potential application areas. As a rapidly expanding field, these advancements have a promising potential to revolutionize personalized healthcare, human enhancement, and a wide range of other applications, making artificial neuron devices the future of brain-machine interfaces.

Ion Dynamics in Nanocrystalline Li2S‐LiI – on the Influence of Local Disorder on Short‐Range Hopping and Long‐Range Ion Transport

The enormous interest in developing powerful Li‐based batteries leads to a boost in materials research. Though Li–sulfur batteries offer very high energy densities, the nature of Li‐ion dynamics in the final discharge product has not been fully understood yet. While nanocrystalline shows enhanced ion dynamics compared to its coarse‐grained counterpart, the interaction of with another binary such as LiI seems to be rather unexplored. Herein, an equimolar mixture of and LiI is treated in a high‐energy ball mill, and both the overall and local structural changes are studied by X‐ray powder diffraction and nuclear magnetic resonance (NMR), respectively . Besides the formation of amorphous regions, evidences are found for the generation of anion‐mixed sites that give rise to facile Li exchange on the 2D exchange NMR timescale. Compared to a coarse‐grained reference sample, the overall (bulk) ionic conductivity of nanocrystalline ‐LiI increases by two orders of magnitude. Besides the anion‐mixing effect, this increase benefits from nanosize effects that include the formation of defect‐rich interfacial regions. NMR relaxation measurements fully support this result and reveal heterogeneous dynamics with lower activation energies for both the localized hopping processes and long‐range ion transport in nm‐sized ‐LiI.

Development of a prototype to evaluate and monitor energy efficiency aiming at power quality 4.0

In research and development projects, the need to implement prototypes to speed up the development and delivery process is paramount, offering tools to validate scenarios and anticipate challenges. The aim of this research is to experimentally develop a prototype for monitoring electrical power systems using a gateway that converts MODBUS-RTU communication protocols to TCP, providing useful information for technicians and managers of a company in the Manaus Industrial Estate (PIM) in the field of reflective tapes. To achieve this goal, it was necessary to specify the technical requirements for panel assembly and communication via MODBUS, acquire and research materials in accordance with the technical specifications and technological requirements, implement the monitoring system with an IMS Controller for reactive power compensation, and configure and parameterise the MODBUS protocol via the RTU to TCP converter. The prototype is expected to be able to take accurate measurements and, in the data acquisition process, obtain readings of electrical quantities such as: voltage per phase; current per phase; power factor per phase; active power per phase; reactive power per phase; apparent power per phase; frequency; voltage THD and voltage harmonics. The prototype must act intelligently to drive the capacitor bank to control and monitor reactive power. The development of the prototype included crucial stages such as the specification of technical requirements, the acquisition of suitable materials, and the implementation and configuration of the system. The specification ensured that the components were aligned with the project objectives, while the procurement of materials ensured the quality and efficiency of the system. The implementation of the Automatic Reactive Power Compensation Controller was vital for reactive power compensation and the configuration of the MODBUS protocol ensured precise communication between the components. To summarise, this project demonstrates the importance of prototypes in technological advancement, offering practical and efficient solutions for industry. The prototype developed to monitor electrical power systems through a MODBUS-RTU to TCP protocol converter gateway represents a significant advance, providing essential data and contributing to informed decision-making, improving the performance and management of the company's energy resources.

COVID-19 pandemic and lung cancer rates in Kazakhstan: a comparative study of pre-pandemic and pandemic periods

Aim of the study. To assess the impact of the COVID-19 pandemic on the incidence of lung cancer by component analysis.Materials and methods. The research material was the data of the Ministry of Health of the Republic of Kazakhstan concerning LC (Form 7). To analyze the dynamics of incidence based on the number of cases from 2011 to 2020, a component method was used.Results and discussion. Analyzing 2011 and 2020, we found a tendency to decrease the incidence of lung cancer (p=0.000). However, comparing 2019 and 2020, we found a sharp decline in the incidence. The overall decrease was −2,220/0000 and depended on changes in the age structure of the population (∑ΔA=+0,340/0000), the risk of getting illness (∑ΔR=−2,520/0000) and the combined effect of the age structure and the risk of getting illness (∑ΔAR=−0,040/0000). The decrease was mainly due to the impact of the risk of getting illness. According to the calculations of the component analysis, 3,856 patients were expected in 2020, but instead the number of patients decreased to 3,375 and this is characterized by a decrease in the number of cases as a result of changes in the risk of getting illness.Conclusions. The COVID-19 pandemic has significantly reduced the incidence rate of lung cancer in Kazakhstan. Additional analysis and research are needed to understand the full impact and take appropriate measures to combat cancer in a pandemic.

Information And Communication Technology Mediates The Competence And Workers And Its Impact On The Productivity Of Corn Farming In Tojo Una - Una Regency

The aim of this research is to analyze The influence of instructor competency and work motivation on mastery of information and communication technology and instructor performance and its impact on corn farming productivity in Tojo Una- Una Regency . Causality research method using the SEM-PLS approach. The research sample was 151 extension workers in Tojo Una-Una Regency. The research results show that of the 9 (nine ) research hypotheses there is 1 (one) hypothesis that is not significant, namely the motivation variable The work of extension workers has an effect but is not significant on the performance of agricultural extension workers in Tojo Una-Una Regency. Furthermore, the research results show that Information and Communication Technology mediates the influence of competency and Work Motivation, and the performance of instructors mediates the application of information technology on farming productivity.

Biological material for biomarker research in spondyloarthritis: Mapping the availability in European rheumatology registries.

Biological material for biomarker research in spondyloarthritis: Mapping the availability in European rheumatology registries.