Aspects Of Application Research Articles

Analysis of Summative Evaluation Questions for Life Science I based on the Understanding Aspects of Wiggins & McTighe

The purpose of this study is to analyze the Life Science Ⅰ summative evaluation questions in aspects of Wiggins & McTighe's understanding. For this purpose, we collected evaluation questions for Life Science I conducted regularly from 2019 to 2022 in 12 high schools in Metropolitan D. There were a total of 4,289 collected summative evaluation questions. Based on the understanding aspect analysis framework, the summative evaluation questions were classified into frequencies by year and unit, and the statistical differences in the understanding aspect frequency by year and unit were analyzed. The results of this study are as follows. First, the Life Science I summative evaluation questions are focused only on some aspects of understanding. Second, there was no change in the evaluation strategy for Life Science I. Based on this, it will expected that the evaluation of life sciences conducted in the 2022 revised science curriculum will be evaluated on more diverse aspects rather than focusing only on the aspects of explanation and application. In addition, it will expected that not only the basic concepts will be acquired, but also an evaluation that is appropriate for the characteristics of the unit and changes over time.

Public Perspectives on Investigative Genetic Genealogy: Findings from a National Focus Group Study

Background Investigative genetic genealogy (IGG) is a technique that involves uploading genotypes developed from perpetrator DNA left at a crime scene, or DNA from unidentified remains, to public genetic genealogy databases to identify genetic relatives and, through the creation of a family tree, the individual who was the source of the DNA. As policymakers demonstrate interest in regulating IGG, it is important to understand public perspectives on IGG to determine whether proposed policies are aligned with public attitudes. Methods We conducted eight focus groups with members of the public (N = 72), sampled from four geographically diverse US regions, to explore general attitudes and perspectives regarding aspects of IGG practices, applications, and policies. Five major topics were explored in each focus group: when IGG should be used; who should perform IGG; how to approach consent for genetic database users; what systems of oversight should govern IGG practitioners; and whether to notify database users if their data are involved in law enforcement (LE) matching. Results Participants were supportive of IGG in most scenarios, especially for cold and violent cases. The favorable attitudes toward IGG were, however, tempered by distrust of law enforcement among some participants. All participants agreed that databases must inform users if IGG is allowed, but they did not agree on how individual database users should be allowed to opt out or whether to notify them if their data are involved in specific investigations. All participants agreed that IGG should be subject to some prescriptive guidelines, regulations, or accountability mechanisms. Conclusions These findings suggest broad public support for IGG, and interest in developing systems of accountability for its practice. Our study provides useful insight for policy makers, genomic database stewards, law enforcement, and other stakeholders in IGG’s practice, and suggests multiple directions for future research.

Construction of a rough surface in EPDM/CB composite through peroxide curing: A mechanism for optimizing physico‐mechanical properties in automotive paint‐compatible applications

AbstractThis study investigates the profound impact of vulcanization methods on ethylene–propylene–diene monomer (EPDM) composites, with a particular focus on elucidating significant findings and achievements. Exploring eight composites, including sulfur and peroxide‐cured variations, we conducted an in‐depth evaluation of the crucial physico‐mechanical properties of the composites. The study extends to encompass the effects of vulcanization on heat aging parameters, providing a comprehensive understanding of the materials' resilience. Utilizing thermogravimetric analysis, differential scanning calorimetry, and Fourier transform infrared spectroscopy, our research delves into the processes, revealing critical insights into the thermal behavior and composition of the composites. Paint compatibility, a pivotal aspect in automotive applications, was rigorously examined through four different test methods. Surface morphology, investigated through scanning electron microscopy and atomic force microscopy, yielded valuable findings on the role of vulcanization in shaping surface roughness and enhancing paint compatibility. Additionally, the quantitative measurement of surface energy using the sessile drop method provided a deeper understanding of the adhesion properties. The findings distinctly underscore the superiority of peroxide‐cured composites, marking a significant stride toward their potential to revolutionize automotive applications. This research not only contributes to the knowledge base but also sets a foundation for advancements in EPDM composite materials, positioning them as key players in driving innovation within the automotive industry.Highlights Developed a peroxide‐cured EPDM rubber composite with a rough surface. A rough surface is more paint‐compatible than a smooth surface. The roughness of peroxide‐cured EPDM is greater than that of sulfur‐cured one. Peroxide curing introduces more polar functional groups and cross‐links. Peroxide‐cured EPDM has higher thermal stability than sulfur‐cured EPDM.

Modern aspects of external application and prospects of using the secretome of mesenchymal stem cells (review)

Introduction. The secretome of mesenchymal stem cells (SMSC) is widely used in medicine. It is most often used due to its immune-modulating and regenerative properties in the treatment of autoimmune, immuno-mediated and other diseases due to its anti-inflammatory, neuroprotective and regenerating action. In many studies, exosomes isolated from SMSC are used as a therapeutic agent. In recent years, the interest in the development of products containing SMSC for external use has increased. Similar drugs are planned to be used in the treatment of diabetic wounds, for skin regeneration, the treatment of inflammatory diseases, as well as alopecia. There are multiple studies on increasing collagen secretion and reducing skin photosensitivity in preclinical studies, which confirms the significant potential for the use of SMSC in dermatology and cosmetology. The purpose of this review was to study the potential of using conditioned medium in medicines for external use, approaches to standardization of SMSC as a pharmaceutical substance and methods of increasing percutaneous delivery.Text. SMSC as an active pharmaceutical ingredient is a transparent liquid from yellow to orange in color with a characteristic odor. The pH of the ready-to-use SMSC composition ranges from 7.0 to 7.5, which allows it to be used in topical and external applications without the addition of stabilizers or pH correctors. Problems of delivery of SMSC through the epidermis are most often solved by placing the secretome in hydrogels, using exosomes or technology using microneedles. Since 2022, after legislative changes, measures have been taken to register and introduce into clinical practice domestic drugs based on cellular products. However, as the analysis showed, it will take some time before the appearance of original medicines based on SMSC, and today in the Russian Federation only products related to cosmetics and veterinary drugs, as well as zoocosmetics, are produced so far.Conclusion. SMSC may also prove to be a safer and more effective substance for the potential treatment of a wide range of acute and chronic diseases. But despite the large number of positive results of using SMSC for wound healing in animals, as well as clinical studies on skin regeneration, there are no studies of its safety and effectiveness, as well as standardization of the production process.

Building Higher-Order Abstractions from the Components of Recommender Systems

We present a modular recommender system framework that tightly integrates yet maintains the independence of individual components, thus satisfying two of the most critical aspects of industrial applications, generality and specificity. On the one hand, we ensure that each component remains self-contained and is ready to serve in other applications beyond recommender systems. On the other hand, when these components are combined, a unified theme emerges for recommender systems. We present the details of each component in the context of recommender systems and other applications. We release each component as an open-source library, and most importantly, we release their integration under MAB2REC, an industry-strength open-source software for building bandit-based recommender systems. By bringing standalone components together, Mab2Rec realizes a powerful and scalable toolchain to build and deploy business-relevant personalization applications. Finally, we share our experience and best practices for user training, adoption, performance evaluation, deployment, and model governance within the enterprise and the broader community.

Program Directors' Perspectives on Residency Applications in the Post‒United States Medical Licensing Examination Step 1 Era: A Case for Standardized Letters of Recommendation?

The United States Medical Licensing Examination (USMLE) Step 1 test evolved into a key metric utilized by program directors (PDs) in assessing candidates for residency. The transition to a USMLE Step 1 binary pass/fail scoring system has resulted in a loss of an important objective assessment. With national movements toward pass/fail systems for clerkship grading and trends toward abandonment of class ranking, assessing residency applications has become increasingly challenging. The Society of Academic Urologists convened a task force to, in part, assess the perspectives of urology PDs regarding the importance of various aspects of a residency application for predicting clinical performance. An anonymous survey was disseminated to all urology PDs in the US. Perspectives on 11 potential application predictors of clinical performance and demographics were recorded. Descriptive statistics characterized PD responses. Friedman test and pairwise Wilcoxon tests were used to evaluate the relative ranks assigned to application elements by PDs. There was a 60.5% response rate (89/147). Letters of recommendation (LORs) were ranked as the most important predictor, with a mean rank of 2.39, median of 2 (IQR 1-3). Clerkship grades and USMLE Step 1 were comparable and ranked second. Medical school reputation ranked the lowest. There was significant subjective heterogeneity among categories; however, this was less so for LORs, which predominated as the most important factor among application elements (P < .001). To our knowledge, this is the largest sample size assessing PD perspectives on application factors that predict clinical performance. The second (clerkship grades) and third (USLME Step 1) most important factors moving toward binary pass/fail systems create an opportunity for actionable change to improve assessment objectivity. Our data demonstrate LORs to be the most important factor of residency applications, making a compelling argument for moving toward a standardized LOR to maximize this tool, mitigate bias, and improve interreviewer reliability.

Applications of digital twin technology in construction safety risk management: a literature review

PurposeWith increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management.Design/methodology/approachThis study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends.FindingsThe research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges.Originality/valueThis study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.

Developing biobased and degradable polyazomethines from hemin

The development of biobased polymers is emerging as a critical issue for researchers in this era, especially for conjugated or semiconducting polymers, due to the lack of natural conjugated building blocks. In addition, it is of urgent importance to develop degradable polymers to diminish the increasing amount of plastic waste. Therefore, we aim to utilize hemin-based materials as a building block to develop semi-conjugated, degradable, and biobased polymers in this study. Accordingly, hemin derived from bovine is modified to remove the ferric ion and functionalize with amine or aldehyde groups. The aldehyde-functionalized protoporphyrin is copolymerized with p-phenylenediamine, 2,7-fluorenediamine, and amine-functionalized protoporphyrin to form a series of polyazomethines of PDA, FDA, and PPIX. The semi-conjugated polyazomethines exhibit varied electrostatic potential distributions and frontier energy levels based on their compositions; in addition, all the polyazomethines present high biobased contents spanning the range of 60–80%. Notably, PPIX can be rapidly depolymerized by acid hydrolysis with 0.01 mol L−1 of HCl within several hours, guaranteed by the evolutions of optical absorption and size-exclusion chromatography, which show that the polyazomethines degrade to monomers to short-chain oligomers. In the aspect of the optoelectronic device application, the semi-conjugated characteristics of the hemin-based polyazomethines give rise to their high performance as a photoresponsive polymer electret in photonic transistor memory. By fine-tuning the molecular structure and energy levels, the developed polyazomethine of FDA achieves decent data discernibility and long-termed cyclic operation as a component of memory electronics, thereby rendering green electronics exceptionally economical and environmentally feasible.

Complex Use of the Main Marine Diesel Engine High- and Low-Temperature Waste Heat in the Organic Rankine Cycle

The decarbonization problem of maritime transport and new restrictions on CO2 emissions (MARPOL Annex VI Chapter 4, COM (2021)562) have prompted the development and practical implementation of new decarbonization solutions. One of them, along with the use of renewable fuels, is the waste heat recovery of secondary heat sources from a ship’s main engine, whose energy potential reaches 45–55%. The organic Rankine cycle (ORC), which uses low-boiling organic working fluids, is considered one of the most promising and energy-efficient solutions for ship conditions. However, there remains uncertainty when choosing a rational cycle configuration, taking into account the energy consumption efficiency indicators of various low-temperature (cylinder cooling jacket and scavenging air cooling) and high-temperature (exhaust gas) secondary heat source combinations while the engine operates within the operational load range. It is also rational, especially at the initial stage, to evaluate possible constraints of ship technological systems for ORC implementation on the ship. The numerical investigation of these practical aspects of ORC applicability was conducted with widely used marine medium-speed diesel engines, such as the Wartsila 12V46F. Comprehensive waste heat recovery of all secondary heat sources in ORC provides a potential increase in the energy efficiency of the main engine by 13.5% to 21% in the engine load range of 100% to 25% of nominal power, while individual heat sources only achieve 3% to 8%. The average increase in energy efficiency over the operating cycle according to test cycles for the type approval engines ranges from 8% to 15% compared to 3% to 6.5%. From a practical implementation perspective, the most attractive potential for energy recovery is from the scavenging air cooling system, which, both separately (5% compared to 6.5% during the engine’s operating cycle) and in conjunction with other WHR sources, approaches the highest level of exhaust gas potential. The choice of a rational ORC structure for WHR composition allowed for achieving a waste heat recovery system energy efficiency coefficient of 15%. Based on the studied experimental and analytical relationships between the ORC (generated mechanical energy) energy performance (Pturb) and the technological constraints of shipboard systems (Gw), ranges for the use of secondary heat sources in diesel operational characteristic modes have been identified according to technological limits.

Special Issue on Cutting Edge of Reinforcement Learning and its Hybrid Methods

Since deep Q-networks and AlphaGO by Google DeepMind were proposed, not only a reinforcement learning integrated with deep learning but also its applications have attracted much attention on. ChatGPT, which learns by Proximal Policy Optimization as one of reinforcement learning mechanisms, is an excellent example. With this background, we propose the special issue titled “Cutting Edge of Reinforcement Learning and its Hybrid Methods,” which is the same of the special issue in 2017, to cover the latest progress and trends in reinforcement learning and its hybrid methods (combined with machine learning, neural networks, and evolutionary computation). We received 28 submissions, out of which 12 submissions were peer-reviewed and 16 submissions that were outside the scope of the special issue were excluded. After a thorough review process including comments and suggestions by reviewers, seven submissions were accepted. These included four theory and three application papers, indicating nearly equal contributions in theory and application aspects. The content of the first three papers is related to inverse reinforcement learning, while the fourth one is not directly related to reinforcement learning but it would be related to reinforcement learning in the future. All papers address issues surrounding cutting-edge technology in reinforcement learning. We would like to end by expressing that we hope and believe that this special issue can largely contribute to the development in the field of reinforcement learning while holding a wide international appeal.

Technology-enabled great leap in deciphering plant genomes.

Plant genomes provide essential and vital basic resources for studying many aspects of plant biology and applications (for example, breeding). From 2000 to 2020, 1,144 genomes of 782 plant species were sequenced. In the past three years (2021-2023), 2,373 genomes of 1,031 plant species, including 793 newly sequenced species, have been assembled, representing a great leap. The 2,373 newly assembled genomes, of which 63 are telomere-to-telomere assemblies and 921 have been generated in pan-genome projects, cover the major phylogenetic clades. Substantial advances in read length, throughput, accuracy and cost-effectiveness have notably simplified the achievement of high-quality assemblies. Moreover, the development of multiple software tools using different algorithms offers the opportunity to generate more complete and complex assemblies. A database named N3: plants, genomes, technologies has been developed to accommodate the metadata associated with the 3,517 genomes that have been sequenced from 1,575 plant species since 2000. We also provide an outlook for emerging opportunities in plant genome sequencing.

Two-Way Sign Language Translator for Visually Impaired People

Hearing disabilities affect people all over the world. Nearly 360 million people have a disabling hearing loss. In the recent years, there has been a rapid increase in the number of deaf and dumb victims due to birth defects, accidents and oral diseases. Since deaf and dumb people cannot communicate with a hearing person, they have to depend on some sort of visual communication. Sign Language is not understood by the majority of hearing people. The objective of our project is to form a bridge between the hearing-impaired community and the hearing community; to further commence a two-way communication. We propose a two-way sign language translator that converts Voice to sign language and vice versa in real time. We process the video frame by frame using the OpenCV Library in Python. Furthermore, we use background subtraction method called Gaussian Mixture-based Background/Foreground Segmentation Algorithm on each frame to subtract the background. Contours of this processed image are then passed into a Deep Neural Net (DNN) to classify the frame to the corresponding written language equivalent words. For conversion from sign language to voice, we use basic Natural Language Processing and gtts to accurately conserve the grammar in the sign language. The enrolment rate and literacy among the hearing-impaired children is far below the average for the population at large. This technology will then help the normal schools better integrate the hearing-impaired community thus making education more accessible and cheaper for them. Speech Emotion Recognition (SER) is a vital aspect of human-computer interaction and emotional intelligence applications. This SER that employs Mel- frequency cepstral coefficients (MFCC) as the basis for feature extraction, followed by a Convolutional Neural Network (CNN) with a customized architecture for emotion classification. The methodology 2 involves transforming audio samples into MFCC images, enabling the application of CNNs typically used in computer vision tasks. This fusion of traditional audio analysis with deep learning techniques harnesses the power of MFCC's spectral representation and CNN's spatial pattern recognition. By modifying the CNN architecture, the model can better discern emotional cues in the MFCC images, enhancing SER performance. This strategy offers SER a viable path forward, with the ability to identify complex emotional expressions. In order to increase the accuracy of emotion recognition, it tackles the requirement for feature-rich representations and sophisticated modelling techniques. KEYWORDS: OpenCV, DNN, SER, CNN, MFCC

Precision Engineering of Chondrocyte Microenvironments: Investigating the Optimal Reaction Conditions for Type B Gelatin Methacrylate Hydrogel Matrix for TC28a2 Cells.

Gelatin methacrylate (GelMA) is a photocrosslinkable biomaterial that has gained widespread use in tissue engineering due to its favorable biological attributes and customizable physical and mechanical traits. While GelMA is compatible with various cell types, distinct cellular responses are observed within GelMA hydrogels. As such, tailoring hydrogels for specific applications has become imperative. Thus, our objective was to develop GelMA hydrogels tailored to enhance cell viability specifically for TC28a2 chondrocytes in a three-dimensional (3D) cell culture setting. We investigated GelMA synthesis using PBS and 0.25M CB buffer, analyzed the mechanical and physical traits of GelMA hydrogels, and evaluated how varying GelMA crosslinking conditions (GelMA concentration, photoinitiator concentration, and UV exposure time) affected the viability of TC28a2 chondrocytes. The results revealed that GelMA synthesis using 0.25M CB buffer led to a greater degree of methacrylation compared to PBS buffer, and the LAP photoinitiator demonstrated superior efficacy for GelMA gelation compared to Irgacure 2959. Additionally, the stiffness, porosity, and swelling degree of GelMA hydrogels were predominantly affected by GelMA concentration, while cell viability was impacted by all crosslinking conditions, decreasing notably with increasing GelMA concentration, photoinitiator concentration, and UV exposure time. This study facilitated the optimization of crosslinking conditions to enhance cell viability within GelMA hydrogels, a critical aspect for diverse biomedical applications.

Psychometric evaluation of the modified quality of recovery score for the postanaesthesia care unit (QoR-PACU2)—A prospective validation study

BackgroundTo date, there is no instrument to adequately assess self-reported quality of recovery (QoR) in the post-anesthesia care unit (PACU). We previously developed the QoR-PACU, a 13-item questionnaire specifically applicable to the PACU. The feasibility, acceptance, and validity of the QoR-PACU were promising. However, measures of reliability were slightly lower than expected. MethodsWe modified the QoR-PACU and evaluated its psychometric properties in a cohort of adult patients scheduled for non-cardiac surgery with general anesthesia. The modified QoR-PACU (termed QoR-PACU2) was administered before surgery and postoperatively in the PACU at the time of the decision to discharge. ResultsA total of 307 patients were included in the final analysis. Postoperative QoR-PACU2 sum scores differed across categories of sex, perioperative and surgical risk, and modes of airway management. The duration of anesthesia and surgery, maximum pain intensity and analgesic requirement in the PACU, and length of PACU stay were all inversely correlated with QoR in the PACU. Cronbach’s alpha was 0.70 (95%CI: 0.66–0.75). The intra-class correlation coefficient was 0.86 (95%CI: 0.70–0.94, p < 0.001) for intra-rater reliability (n = 24) and 0.94 (95%CI 0.90 to 0.97, p < 0.001) for inter-rater reliability (n = 31). Cohen’s effect size was 0.68 and the standardized response mean was 0.57. ConclusionThe QoR-PACU2 assesses self-reported QoR after surgery in the PACU. Measures of feasibility, validity, and reliability were consistently high. Measures of responsiveness were moderate, which might be attributable to the heterogeneity of the study population. Future studies should include aspects of ethnicity and cross-cultural applicability.

Fundamental research on the condensation heat transfer of the hydrocarbon-mixture energy in a spiral tube described by a universal model using flow pattern based and general modes

The transportation of liquefied natural gas (LNG) is a crucial aspect of global energy application and security. However, there are still some challenges in liquefaction. This study establishes systematic experiments to investigate the condensation two-phase flow and heat transfer process of hydrocarbon-mixture energy (methane/ethane/propane/isobutane) in a spiral tube. The main influencing parameters, including mass flux (200–560 kg/(m2·s)), operating pressure (2–4 MPa), and vapor quality (0–1) on the heat transfer intensity and frictional pressure drop were analyzed. Different two-phase flow patterns were observed and categorized them as bubble flow, intermittent flow, stratified-wavy flow, and annular flow. For bubble flow and intermittent flow, vapor quality is found to remarkably affect the heat transfer; regarding stratified-wavy flow and annular flow, gravitational force and inertia force are found to prominently influence the heat transfer, respectively. Additionally, a newly universal model includes split flow patterns mode (SFPM) and the general mode (GM) has been proposed, which is with high-precision for describing the condensation heat transfer coefficients of different flow patterns. Furthermore, the analytical results show the SFPM's root mean square error and mean absolute relative deviation are 97.35 W/(m2·K) and 0.036.

The cell cultures in virology: from the past to the future

The aim of the review is to give a brief characteristic of cell cultures obtained from mammalian tissues and to consider the current possibilities and prospects for their use in virology.&#x0D; The analysis of the literature data presented in the main databases, such as Web of Science, PubMed, Scopus, Elsevier, Google Scholar and RSCI (as of July 2023), indicates that various types of cell cultures are currently used in virological studies. The use of cell culture has a number of advantages over other in vitro and in vivo methods of virological research. The review provides numerous examples on the development of new methods of obtaining cell cultures for the cultivation of viruses. Among them are sensitive and reporter cell systems, the design of which can be a promising tool for diagnostics of existing and new unknown viral infections. Cell cultures are characterized as potential in vitro models in virology for developing new diagnostic test-systems and antiviral drugs. An important area of cell cultures application is their use as a substrate for the production of culture-derived vaccines. Another aspect of the cell cultures application is also highlighted, such as the study of the effect of the viruses on the host immune system or the mechanisms of immunopathogenesis of viral infections. It is concluded that the use of cell cultures remains currently and in the near future one of the most important methods in practical virology and in scientific research.

Microbial Composition Dynamics in Peloids Used for Spa Procedures in Lithuania: Pilot Study.

Despite peloids' acknowledged therapeutic and cosmetic potential, there remains a limited understanding of their microbial diversity and dynamics, especially concerning beneficial and non-beneficial microorganisms under different heating conditions. Our study employs both cultivation and metagenomic methods to assess the microbiota of peloids, focusing on lake sapropel and peat under heating conditions recommended for external application and safety assurance. By applying microbial indicators specified in national regulatory documents, we found that all peloids reached thresholds for sulphite-reducing clostridia and colony-forming units. Each peloid exhibited a distinctive bacterial composition based on metagenomic analysis, and temperature-induced changes were observed in microbial diversity. We identified beneficial bacteria potentially contributing to the therapeutic properties of peloids. However, the same peloids indicated the presence of bacteria of human faecal origin, with a notably higher abundance of Escherichia coli, pointing to a potential source of contamination. Unfortunately, it remains unclear at which stage this contamination entered the peloids. The findings underscore the importance of monitoring and controlling microbial aspects in peloid applications, emphasising the need for measures to prevent and address contamination during their preparation and application processes.

Microplastics: Classification, Sources, Characterisation, Fate, and Control Measures

Plastic use has now permeated all aspects of life and new applications are developed every year, and the substitution of other materials with plastic is still expanding in many sectors. They are currently used in single-use packaging, consumer goods, construction materials, automotive, electrical and agriculture applications. Several decades of plastic release into the environment have brought about a wide range of associated problems. Microplastics encompass a wide range of materials composed of different substances, with different densities, chemical compositions, shapes and sizes. They are ubiquitous in the environment and have been detected in a broad range of concentrations in marine water, wastewater, fresh water, food, air and drinking water, both bottled and tap water. Key sources of microplastic pollution are terrestrial run-off and wastewater effluent. Present paper deals with recent approaches on ‘microplastics’ with respect to: definition, common examples, classification, sources by usage sectors, key sources, characterisation, methods for analysis, fate in the aquatic environment, control measures, and research gaps is critically evaluated.

Lead-free Cs₂NaInCl₆:Bi³⁺/Mn2⁺ double perovskite nanocrystals to nanosheets with improved photoluminescence quantum yield for anti-counterfeit marks and LED applications

Lead-free double perovskites (DPs) in the form of two-dimensional (2D) nanosheets (NSs) have emerged as exceptional candidates compared to zero-dimensional (0D) nanocrystals (NCs). This preference is attributed to their intriguing fundamental properties and promising applications in optoelectronics. Notably, NSs offer superior performance due to their enhanced surface passivation capabilities, facilitating more efficient treatment of surface defects and thereby enhancing optoelectronic properties. However, the realization of Cs2NaInCl6 as lead-free DPs NSs is yet to be achieved. In this study, we successfully synthesized Cs2NaInCl6 co-doped with Bi3+/Mn2+ NSs. The two-step solution process synthesis enables us to achieve dimensionality control, progressing from 0D NCs to 2D NSs. Comprehensive optical spectroscopy analyses reveal that the NSs exhibit a suppressed non-radiative decay rate (Knr) of 5.03 × 10−3 ns−1 in contrast to NCs with a Knr of 3.21 × 10−2 ns−1. This observation is indicative of a well-passivated surface in NSs. In contrast, NSs with identical composition and surface morphology significantly enhance the photoluminescence quantum yields (PLQYs) up to 73%, which represents the highest PLQYs recorded in Cs2NaInCl6 DPs to the best of our knowledge. Beyond fundamental investigations, the study explores the practical applications of these NSs as anti-counterfeit marks created on a flexible substrate, demonstrating robust emission under UV light. Additionally, the fabrication and testing of a light-emitting diode (LED) showcase the versatility of these NSs in optoelectronic devices. This comprehensive exploration of the optical, morphological, and application aspects of Cs₂NaInCl₆ doped with Bi³⁺/Mn2⁺ NSs contributes valuable insights to the evolving landscape of lead-free perovskite materials, highlighting their potential for diverse technological applications.

An Effective Algorithm using Moth Flame Optimization (MFO) for Numerical Expression Solutions.

The Moth Flame Optimization (MFO) algorithm is a member of the swarm intelligence family that is utilized to tackle complex optimization problems in various real-world domains. MFO, along with its different variations, offers simplicity in understanding and ease of operation. These algorithms have exhibited great success in solving optimization problems across diverse fields such as power and energy systems, engineering design, economic dispatch, image processing, and medical applications. This comprehensive review explores the different variants of MFO, encompassing the classic version, binary types, modified versions, hybrid versions, multi-objective versions, and the application aspect of the MFO algorithm in different sectors. Furthermore, the evaluation of the MFO algorithm is presented to assess its performance relative to other algorithms. The primary focus of this literature is to provide a survey and analysis of MFO and its applications. Additionally, the concluding remarks section delves into potential future research directions for the MFO algorithm and its variants.