Analysis Methodology Research Articles

Towards designing a comprehensive composite index for social vulnerability to natural hazards in the big data era: potential challenges and partial solutions

AbstractThis study provides a practical definition and framework to measure social vulnerability to natural hazards, addressing gaps in the literature after three decades of Susan Cutter's Place-Based Model. The current social vulnerability index, designed based on available data such as census data, is limited in capturing all aspects of social vulnerability and spatial inequalities. This research explored and proposed a new theoretical perspective and methodological framework for designing a comprehensive index for social vulnerability to natural disasters using emerging big data, which is practical and feasible and can be applied to social vulnerability studies in general and social vulnerability to natural hazards in particular. This research first defines constructs of social vulnerability to natural hazards, including (1) socioeconomic status or conditions, (2) physical infrastructure or accessibility to facilities and services, (3) ecological-environmental conditions, (4) access to security facilities and crime rate, (5) technological inequalities, (6) health conditions of the citizens, and (7) susceptibility. Then, it proposes potential solutions for developing a comprehensive composite index under ideal conditions without (big) data limitations, using the US and the UK as case examples. These solutions are not just theoretical but also practical and feasible, instilling confidence in their implementation. This research offers valuable insights for researchers and policymakers in diverse sectors, supporting the design of effective disaster risk reduction strategies and intervention programs.

Unveiling Genetic Diversity Among Bacterial Isolates Using SCoT Markers.

This study aimed to unveil the genetic diversity among 47 bacterial isolates from various species using start codon targeted (SCoT) markers. Six SCoT primers yielded 219 reproducible bands, with 89.04% exhibiting polymorphism. The amplification process generated 28 to 50 fragments per primer, with an average of 36.50. Genetic diversity was quantified using polymorphic information content (PIC) values ranging from 0.11 to 0.14, with SCoT32 showing the highest PIC (0.14) and SCoT23 the lowest (0.11). The resolving power (RP) index, used to assess primer discriminatory power, varied significantly, with SCoT23 demonstrating the highest RP (6.00) and SCoT29 the lowest (4.51). Comparative analysis with conventional markers like M13 and (GTG)5 revealed that certain SCoT primers exhibited superior PIC values, which indicates enhanced utility for interspecies differentiation. The high discrimination level achieved by SCoT primers underscores their effectiveness in genetic differentiation and biodiversity assessment within bacterial populations. This research highlights SCoT markers as powerful tools for microbial genetic studies, which offers valuable insights into bacterial diversity and provides a robust methodological framework for future investigations aimed at elucidating genetic variation and improving species identification. The application of SCoT markers represents a significant advancement in molecular techniques for bacterial characterization and phylogenetic analysis, demonstrating their potential to enhance our understanding of microbial genetics and evolution.

Identification of Spatial Patterns of Soil Erosion Based on the Combination of RUSLE and MCDA in the Ahferom District, Northern Ethiopia

Soil erosion is a widespread concern that is indeed considered to be a significant environmental issue, and it has particularly severe consequences in less developed countries like Ethiopia. An effective watershed management procedure for establishing priority is supported by the identification of erosion-susceptible areas. Therefore, the main objective of the study was to assess soil erosion dynamics and its spatial pattern using a novel methodological framework combining the RUSLE and MCDA. The study used data on land use and cover, topography, soil, and climatic data. The analytical hierarchy process (AHP) were used to identify soil erosion-susceptible areas and the factors were weighted using a pairwise comparison matrix, and weights were combined using weighted overlay in GIS. Our results indicated that the mean annual soil loss rate was 27.10 t ha−1 yr−1, while the total soil loss from the entire study area was 3.11 Mt. The highest soil loss was observed in bare land (30.54 t ha−1 yr−1) and farmland (23.65 t ha−1 yr−1), which were considered as the most susceptible land types to erosion. Likewise, 10.3% of the study area is very highly susceptible; 20.2% is highly susceptible, 24.2% of the area is moderately susceptible, 27.1% is low, and 18.2% has very low susceptibility. The district’s most significant erosion-susceptible areas are characterized by steep slopes that are composed of farmland and bare land. This suggests the majority of the area is susceptible to erosion, requiring interventions to reverse the alarming degradation level. The presented framework has a board application to estimate regional soil erosion and to identify spatial patterns of soil erosion.

Lyotropic liquid crystal and self-emulsifying drug delivery systems nanoparticles as artesunic acid and praziquantel carriers: An innovative approach for formulation of anti-malaria and schistosomicidal drugs

Praziquantel (PZQ) is the drug of choice for treating cestode and trematode infections, and it is currently the only option against schistosomiasis. Artesunic acid (AcART) is effective against several parasites and has emerged as an alternative for schistosomiasis treatment. However, AcART and PZQ have limited bioavailability due to poor water solubility, low permeability, and rapid cell clearance. To address these challenges, this study aimed to develop self-emulsifying drug delivery systems to develop SEDDS and NPs-LLC to overcome the low water solubility affecting AcART and PZQ bioavailability. The study involved validating the HPLC analytical methodology for AcART, SEDDS, and NPs-LLC formulations, and conducting physicochemical characterization and ex-vivo intestinal permeation assays. The composition of formulations was determined by the solubility balance of AcART and PZQ. The drug content ranged between 83 and 90 %. The anionic zeta potential was attributed to Myverol®, and the particle diameter increased slightly after the drug incorporation, while the polydispersity index indicated the relatively narrow particle size distribution. Additionally, the DSC thermogram confirmed that PZQ and AcART are in solution within SEDDS and NPs-LLC. The FTIR analysis suggests that components of SEDDS and NPs-LLC and drugs do not react to form new chemical species. The selection of specific compound formulations was based on achieving the best solubility balance. The nanostructures were stable and exhibited a surface charge favorable to mucosal permeation, with slightly superior performance for SEDDS. The innovative formulations, SEDDS and NPs-LLC, are suitable and effective carriers for AcART and PZQ.

The Financial Challenges of Developing Countries for Climate Change Mitigation and Sustainable Development Under UN Agenda 2030

The study seeks to analyze the financial obstacles confronting poor nations in mitigating the effects of climate change and shifting towards sustainable development trajectories, as outlined in the 2030 Agenda. The paper examines Iraq to highlight difficulties and possibilities pertinent to its context, while the analysis and policy implications extend to several other nations in other areas with analogous concerns. The study employs a quantitative analytical methodology using secondary data on sustainable development indicators, emissions, mortality rates, and finance sources for a sample of 18 developing nations from 2010 to 2020, together with projected data for specific economic indicators extending to 2050. The findings indicate that emerging nations, particularly impoverished ones, would encounter the most significant dangers from climate change while not being accountable for its causation. Developing nations are experiencing escalating environmental concerns due to climate change, including floods, droughts, pollution, desertification, and declining water levels. Consequently, these nations must intensify their efforts to address these difficulties and develop measures to safeguard the environment and natural resources. Numerous developing nations depend significantly on the agricultural sector for revenue and employment, confronting emerging difficulties from climate change that result in diminished agricultural output and land degradation, impacting food security and the local economy. Climate change may adversely affect emerging nations' economies, leading to agricultural land degradation and heightened expenses for infrastructure reconstruction.

Tri-axial magnetic alignment and magnetic anisotropies in misfit-layered calcium-based cobaltites doped with rare-earth ions

In this study, we introduce an original method for quantifying tri-axial magnetic anisotropy in [Ca2CoO3-δ]0.62CoO2, and its rare earth (RE)-doped variants, [(Ca1-xREx)2CoO3-δ]0.62CoO2, utilizing a modulated rotating magnetic field of 10 T. Our findings reveal a significant correlation between the magnetic anisotropy and local structure of RE ions, particularly bond lengths and coordination numbers, which influence the magnetization axes of these magnetically aligned powders. We introduce an analytical methodology employing linear equations to calculate the magnetic susceptibilities along distinct crystallographic axes, enabling the prediction of tri-axial magnetic anisotropies at elevated concentrations of Er ions. This research not only advances our understanding of magnetic anisotropy control but also paves the way for the successful fabrication of triaxially-aligned ceramics using magneto-science techniques.

Exploring the Relationship between Hygiene Factors and Job Satisfaction in Workplace

The purpose of this research is to investigate the relationship that exists between hygiene factors and job satisfaction (JS) among the Royal Malaysian Navy (RMN) personnel in the workplace. The focus shall be directed toward the diligent personnel on board at Lumut Naval Base. The present study adopts a quantitative analysis methodology, employing a straightforward descriptive approach and correlation analysis through SPSS 23, wherein a sample of 220 employees was randomly selected for analysis. The empirical evidence suggests that there exist notable associations between job satisfaction (JS) and various factors, namely company policy, salary and benefits, and interpersonal relationships. The variables of job security and working conditions do not exhibit a statistically significant correlation with job satisfaction. The findings of this study suggest that there exists a noteworthy correlation between variables towards Job Satisfaction (JS). Therefore, there is no significant correlation between Job Security and Working Conditions in JS. The study's impact extends beyond the organization, encompassing the broader field, as it adds to the body of literature about the research elements. The utilization of models and theoretical frameworks in prospective investigations presents a distinct point for comprehending and interpreting phenomena that represents a noteworthy innovation within the context study.

Decoding Anti-Blackness in Children’s Literature

This dissertation critically examines the representation of Black authors and themes within the John Newbery Medal canon from its inception in 1922 to 2023. It explores how this literary award has mirrored or challenged societal perceptions of race, particularly in children’s literature. Utilizing a thematic content analysis methodology, the study investigates the works of the six Black authors who have won the Newbery Medal, using a priori coding to critically examine the racial narratives, themes, and authorial diversity presented in these titles. Despite the noted increase in diversity within children’s literature, this research identifies a persistent underrepresentation of Black authors and Black cultural themes in Newbery Medal recipients. The study highlights a significant gap in racial inclusivity, with a mere six Black authors receiving the Newbery Medal in over a century. This underrepresentation is not only a marker of racial disparity but also reflects broader systemic biases within the literary and publishing industries. This dissertation engages with theories from critical race theory and critical librarianship to interrogate the structural barriers that sustain this racial homogeneity. In examining the implications of these findings, the research advocates for a more equitable literary landscape, emphasizing the need for librarians, educators, and publishers to foster inclusivity in children’s literature. The ultimate aim is to ensure that young readers encounter a more representative spectrum of narratives that celebrate racial diversity and promote inclusiveness.

Breath Analysis Using Quartz Tuning Forks for Predicting Blood Glucose Levels Using Artificial Neural Networks.

Diabetes Mellitus (DM), a widespread metabolic disorder, poses lifelong health implications, demanding timely diagnosis and cautious monitoring for effective disease management. Traditional blood glucose tests are invasive and require medical expertise for intermittent checking, motivating the investigation of alternative, noninvasive methods. This study introduces an approach employing breath analysis through a set of 12 quartz tuning fork-based sensors enhanced using nanomaterials and dedicated artificial neural network (ANN) algorithms for data interpretation. The breath analysis methodology involves capturing unique breath signatures using the frequency-based sensor array. The accompanying neural network classification algorithm, customized for the sensor data, enables precise classification of data from 245 individuals as diabetic, prediabetic, or healthy. A neural network regression algorithm predicted blood glucose values and was compared with the actual values obtained from medical blood glucose measurement. The clinical relevance of the predicted blood glucose has been examined using error grids. The sensor array coupled with the ANN algorithm can identify diabetic, prediabetic, and control samples with 97% test accuracy. Blood glucose was predicted using neural network regression with a correlation coefficient of 0.89 and a mean square error of 0.13.

Bridging gaps in the demand and supply for circular economy: Empirical insights into the symbiotic roles of consumers and manufacturing companies

Given the systemic nature of the circular economy (CE), its successful implementation necessitates a holistic approach involving all the relevant stakeholders across the production and consumption processes. This study focuses on the gap between the demand and supply of circularity by investigating transitioning profiles of consumers and manufacturing companies and examining their symbiotic roles in shaping a systemic circular transition. Using two extensive surveys involving 1000 consumers and 1443 manufacturing companies in Italy, and employing a cluster analysis methodology, we examined pro-environmental purchasing profiles among consumers and varying levels of circular practice integration among companies. The cluster analysis reveals four different consumer cluster based on their attitudes towards CE during the purchasing and post-purchasing phases. While the majority focused only on a single purchasing aspect, approximately one-third consistently optimized, preserved, and enhanced product value throughout the purchase phase and post-purchase use. Conversely, companies were grouped into five clusters according to their varying levels of circularity integration across the product life cycle. Only a small subset of companies fully embraced circularity throughout their entire product life cycle, with most concentrating their efforts on specific phases of the value chain. The findings highlight a significant gap between circular demand and supply: while the biggest cluster of companies comprises linear manufacturers, linear consumers represent the smallest segments. This underscores the need for comprehensive engagement from both manufacturers and consumers in shaping circular production and consumption. Based on a stakeholder perspective, the study opens up a discussion on how to bridge this gap, emphasizing the role of consumers with pro-circular behaviors in pushing companies to integrate circularity principles more thoroughly, and the role of companies in raising the awareness of linear consumers about the impact of their purchasing choices. By profiling circular companies and consumers and unveiling their behavioral tendencies, this research provides actionable insights for policymakers and managers navigating the circular transition.

AFROCENTRIC PEDAGOGY APPROACH IN THE CURRICULUM OF EDUCATIONAL SYSTEM RENEWAL IN AFRICA: A CASE OF SOUTH AFRICA

The purpose of this paper is to conceptualize in greater detail the educational system approach that is being imposed into African countries, South Africa as a case in point. Over the past years, Sub-Saharan countries have and still experience indoctrinated educational system in which the content is mimicked from purported hegemonic states such UK, USA and other western counties inter alia. The problem of education retrogrades from the prior independence of African countries in the early 1960s wherein, the colonial masters organized and silently played a crucial role in shaping the formation of education in Africa; and not much has changed in terms of education since then. A particular concern is that the system of education might have designed to impoverish African people and perpetuate dependency to the western nations. Hence, at the core center of the educational system is the curriculum which seem to be inevitable and requires an alteration, particularly in South Africa. Therefore, the outlook of this paper is to critique and interrogate the system of education in South Africa looking at the socio-economic development and a continuous alteration in respect of the curriculum. The paper shows that for the realization of African renaissance, ideals of Africa Agenda 2063 and accelerated development, the system of education must be transformed and be Africanized to benefit the people of Africa. The paper uses literature-based approach as a methodological framework in order to analyze the status quo of education in South Africa. The paper concludes and recommends that the transformation of current educational system requires an alteration to the inclusive of indigenous knowledge to vigorously respond to socio-economic woes in Africa. Furthermore, the paper advocates for indigenous knowledge consideration in the incessant curriculum renewal.

Transformative Learning Among Organ Procurement Organization Donor Family Volunteers.

Introduction: Some family members who previously made the decision to donate a family member's organs support the organ procurement organization (OPO) through volunteer work. Volunteers were asked to describe their family's organ donation story to educate the general and medical communities about organ donation. This study explored the transformative learning experienced by volunteers during and following the organ donation consent process and throughout their volunteer work. Methods/Approach: A narrative inquiry research methodology and transformative learning theoretical framework was used and 6 volunteers were recruited to participate. Two semistructured virtual interviews were conducted. Interviews were transcribed, radically reduced, and subjected to holistic-content and holistic-form narrative analysis. Findings: Participants experienced strong emotional responses during and after the loss of their family member, characterized as a period of disorientation, which lasted for an extended period preventing transformative learning. After the OPO contacted participants regarding the opportunity to volunteer, participants experienced a period of self-examination when they reengaged with the topic of organ donation. Critical reflection occurred through the act of storytelling about their family's organ donation story during their volunteer work. Storytelling to the community facilitated making meaning of their loss and transformations. Conclusion: Volunteering for an OPO played an important role by initiating self-examination and critical reflection of their prior assumptions. Through storytelling, participants reflected on their roles and made meaning of their organ donation experiences. The act of inviting donor families to reengage with the topic of organ donation through volunteer work fostered positive permanent meaningful transformations.

Value orientations of youth and the formation of cultural memory in the region (On the example of the Chechen republic)

The article analyzes the characteristics of the Chechen youth, their value attitudes and roles in the formation of cultural memory. The methodological framework covers theoretical and methodological areas of research of two social phenomena that are important signs of the changing world at the beginning of this millennium: cultural memory and the attitude of the younger generation towards it. The analysis of these phenomena is studied on the example of a specific region as a social space at a certain stage of socio-public transformation, where the foundations of traditional society with the prevalence of vertical connections continue to play an important role. At the same time, young people have a special place in the perception and transformation of values, experiencing at the same time a great influence of globalization and information technologies. The empirical basis of the study was socio-demographic data on the Chechen Republic, quantitative and qualitative methods of surveying the youth of the republic: an online survey was conducted among students (N = 92) aged 19-24 years and in-depth interviews among young people (N = 21), whose average age was 30 years. Additional materials were data from the database of surveys and focus groups collected in recent years. The results of the study showed that the transformation of cultural memory in the region is influenced by both structural factors, primarily demographic, migration dynamics, socio-economic living conditions of the population, etc., and cultural and institutional factors that determine the value attitudes of various segments of the population, the discourses prevailing in the society, attitudes to history, politics, etc. The value landmarks of young people play an important role in the formation of the cultural memory of the Chechen society and act as means of stabilizing and renewing the society. A key feature of the Chechen society is a respect towards elders. The succession of values is under threat of breaking intergenerational ties and subject to an unprecedented information aggression. The issues of an objective attitude to history, developing a position on the modernization of the society are acute.

Exploring Online Education for Circular Economy: Content Analysis and Didactical Approaches in Plastic Waste Management Courses

Purpose: The increasing emphasis on sustainable practices in managing plastic waste underscores the importance of education and training in fostering a circular economy. This article aims to elucidate the critical role of awareness-raising and capacity-building initiatives, which have become pivotal as societies transition towards more sustainable economic models, particularly concerning plastic management. Study design/methodology/approach: This article investigates online courses' availability, content, and methodological frameworks dedicated to the circular economy and plastic-related issues. The primary objective is to develop a comprehensive theoretical framework that elucidates how these courses are designed to enhance awareness of plastic-related challenges, disseminate relevant knowledge, and educate the public about potential solutions. Findings: The analysis focuses on these courses' structure, content, and pedagogical methodologies to evaluate their effectiveness in informing and engaging learners. It assesses how effectively these courses enhance learners' capacities to tackle plastic-related challenges and equip them with the skills necessary for fostering innovation within the plastic value chain. Originality/value: While awareness-raising and capacity-building are essential for advancing a circular economy, systemic changes in production and consumption patterns are equally critical. The integration of advanced recycling methods, renewable energy solutions, and carbon capture technologies can significantly mitigate the plastic industry's carbon footprint. A holistic approach that comprehensively addresses the lifecycle of plastics—from design to disposal—is essential for achieving a genuinely circular and climate-neutral economy.

A Design Study on Commercial Cleaning Robots Based on Kano–QFD

In the post-pandemic era, public space safety has emerged as a central public concern. As global public health awareness rose, traditional manual cleaning methods were increasingly inadequate for large-scale and high-standard cleaning requirements. Therefore, the design of a commercial cleaning robot that combined cleaning efficiency, environmental performance, and sustainability was essential to meet evolving societal demands. This paper systematically gathered and analyzed commercial cleaning robot functional requirements through a comprehensive investigation. According to the Kano model, functional requirements were categorized by attributes and their importance was quantified. Subsequently, using the QFD model, the design requirements for commercial cleaning robots were determined, and their significance weights were established. This identified the key design requirements. The results of this study indicated that the integration of the Kano and QFD models provided a novel perspective for the design of functional integration in commercial cleaning robots. Furthermore, it provided a practical methodological framework for addressing similar issues in the future.

Progresses on Some Open Problems Related to Infinitely Many Symmetries

The quest to reveal the physical essence of the infinitely many symmetries and/or conservation laws that are intrinsic to integrable systems has historically posed a significant challenge at the confluence of physics and mathematics. This scholarly investigation delves into five open problems related to these boundless symmetries within integrable systems by scrutinizing their multi-wave solutions, employing a fresh analytical methodology. For a specified integrable system, there exist various categories of n-wave solutions, such as the n-soliton solutions, multiple breathers, complexitons, and the n-periodic wave solutions (the algebro-geometric solutions with genus n), wherein n denotes an arbitrary integer that can potentially approach infinity. Each subwave comprising the n-wave solution may possess free parameters, including center parameters ci, width parameters (wave number) ki, and periodic parameters (the Riemann parameters) mi. It is evident that these solutions are translation invariant with respect to all these free parameters. We postulate that the entirety of the recognized infinitely many symmetries merely constitute linear combinations of these finite wave parameter translation symmetries. This conjecture appears to hold true for all integrable systems with n-wave solutions. The conjecture intimates that the currently known infinitely many symmetries is not exhaustive, and an indeterminate number of symmetries remain to be discovered. This conjecture further indicates that by imposing an infinite array of symmetry constraints, it becomes feasible to derive exact multi-wave solutions. By considering the renowned Korteweg–de Vries (KdV) equation and the Burgers equation as simple examples, the conjecture is substantiated for the n-soliton solutions. It is unequivocal that any linear combination of the wave parameter translation symmetries retains its status as a symmetry associated with the particular solution. This observation suggests that by introducing a ren-variable and a ren-symmetric derivative, which serve as generalizations of the Grassmann variable and the super derivative, it may be feasible to unify classical integrable systems, supersymmetric integrable systems, and ren-symmetric integrable systems within a cohesive hierarchical framework. Notably, a ren-symmetric integrable Burgers hierarchy is explicitly derived. Both the supersymmetric and the classical integrable hierarchies are encompassed within the ren-symmetric integrable hierarchy. The results of this paper will make further progresses in nonlinear science: to find more infinitely many symmetries, to establish novel methods to solve nonlinear systems via symmetries, to find more novel exact solutions and new physics, and to open novel integrable theories such as the ren-symmetric integrable systems and the possible relations to fractional integrable systems.

A contemporary study: Molecular approach to histological analysis of meat products by reverse-transcriptase PCR

Meat and meat products constitute an important part of human diet. Yet, in order to meet consumers' increasing demand for meat products and manufacturers’ demand to lower the expenses, usage of offal tissues in meat products are prevalent as food adulteration. Industrial food processing techniques enable producers hide the tissue texture; therefore, histological analysis methodology often fails to detect the fraud. Here, we present a contemporary and unbiased, molecular approach to traditional histological analysis of meat products by real-time reverse transcriptase polymerase chain reaction (RT-PCR). Our study includes the bioinformatic approach to select relevant transcripts that are expressed only in offal tissues but not in muscle and adipose tissues. The selected transcripts were particularly paid attention to have high expression levels for a higher possibility of being detected in processed meat products. The developed qualitative RT-PCR method was also validated by specificity, sensitivity, repeatability and reproducibility parameters.

Self-regulated learning in secondary school: Students’ self-feedback in a peer observation programme

Self-regulated learning (SRL) is crucial for fostering learner autonomy and lifelong learning skills. The article focuses on observation as a trigger of student self-feedback and self-reflection towards the development of SRL. A student peer observation programme, co-designed and piloted by teachers and researchers in two Portuguese public secondary schools is introduced, including its theoretical and methodological framework, observation scheme, and supporting observation guides. A qualitative study of self-reported effects by participating students was performed with the objectives of identifying strong aspects and possible improvements to the programme but also to gain a deeper understanding of how observation and self-feedback mediate between the performance and self-reflection phases of SRL. The results reveal an increased appreciation for feedback from various sources, and of the reflection it enables, with students emphasizing seeking help from teachers and peers. Implications for designing collaborative and student-centred learning environments with observational strategies to promote SRL are included.

Towards high throughput analysis using 96-well plate solid phase extraction to determine sedatives and β-blocker residues in food control monitoring

BackgroundVeterinary drugs are widely used in animal production to prevent infections and treat diseases but, this may cause a risk to consumers. Due to the high number of food samples required to monitor yearly, simple, fast, sensitive and selective analytical methods are needed in control laboratories to ensure consumers safety. Nevertheless, many analytical methodologies available in these laboratories include multiple steps and therefore are time-consuming and hinder the analysis throughput requiring significant amounts of solvents and reagents. ResultsThis work developed a 96-well plate solid phase extraction (SPE) method for the extraction of seven sedatives and a β-blocker in animal kidney by ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC−MS/MS). The developed method was validated based on Implementing Regulation (EU) 2021/808 in kidney, meat and fish. The performance characteristics of the validation (1–5 μg kg−1) showed good linearity (R2 > 0.998) while decision limits (CCα) were between 1 and 1.2 μg kg−1. Trueness and precision were determined at three levels (n = 7) and the results showed values ranging from 85 to 103 % and from 1 to 9 %, respectively. The feasibility of the method was demonstrated for the residue control requirement established by EU. Method was applied to 201 samples of kidney, meat and fish. SignificanceThis study is the first to present an optimized and validated holistic method for sedatives and β-blocker using 96-well plate SPE and UHPLC−MS/MS. The method showed good performance in kidney, meat and fish samples being an universal method for any species along the same type of sample. The fast, easy, efficient, reliable and universal method showed high throughput and so reduced the analysis time by nine-fold and the required solvent amount by four times fulfilling the green chemistry principals.

Slope stability/instability analysis of advanced nanocomposite reinforced column structure under mechanical loading via coupled Carrera unified formulation, layer-wise and Laplace transform approaches

This study presents a comprehensive investigation into the slope stability and instability of column structures made of Triply Periodic Minimal Surfaces (TPMS) under mechanical loading. TPMS structures, known for their high strength-to-weight ratio, are increasingly used in engineering applications, particularly in lightweight structures. However, their stability behavior under complex loading conditions remains largely unexplored. To address this gap, we employ a coupled approach integrating the Carrera Unified Formulation (CUF), the Layer-Wise (LW) theory, and Laplace Transform techniques. The CUF framework, known for its versatility in modeling structural behavior across different geometrical and loading configurations, is utilized to capture the mechanical response of the TPMS-based columns. The LW theory further enhances the model by accurately representing the through-thickness behavior, particularly crucial for layered or composite TPMS structures. Finally, the Laplace Transform approach is applied to efficiently solve the governing differential equations, reducing the computational complexity of time-dependent mechanical analyses. A parametric study investigates the influence of various geometrical parameters, material properties, and loading conditions on the stability of the structures. The results highlight the critical factors influencing slope stability, including the interplay between the TPMS geometry and material distribution. Moreover, the findings offer insights into failure mechanisms, providing a basis for optimizing the design of TPMS-based columns for enhanced mechanical performance. This work contributes to advancing the theoretical understanding of TPMS structures, offering novel methodologies for slope stability analysis in complex mechanical systems.