Multiple Methodologies Research Articles

Glucose increases proliferation and chemoresistance in chronic myeloid leukemia via decreasing antioxidant Properties of ω-3 polyunsaturated fatty acids in the presence of Iron.

There is a strong association between hyperglycemia, oxidative stress, inflammation and the onset and progression of diabetes which causes a higher risk of cancer. This study investigated, the effect of concomitant use of omega-3 polyunsaturated fatty acids (ω-3 PUFAs) with iron supplements in hyper-glucose conditions on the K-562 cell line. The effects of iron, ω-3 PUFAs, and a combination of both on K-562 cells were investigated under normal and high glucose conditions. The impact of these treatments was evaluated using multiple methodologies, including the MTT assay for cell viability, quantification of oxidative stress markers [total antioxidant capacity (TAC) and malondialdehyde (MDA)], and analysis of the cell cycle. Furthermore, the expression levels of TNFα and p53 mRNA were measured using Real-time PCR. The co-treatment of ω-3 PUFAs and iron in the presence of high glucose had notable effects, as evidenced by an increase in cell survival, resistance to imatinib chemotherapy, TNFαmRNA expression levels, MDA levels, and percentage of cells in the G2/S phase. Additionally, there was a decrease in the mRNA expression of p53 and TAC levels compared to treatment in the normal-glucose condition. Hyperglycemic conditions in conjunction with the combined treatment of theω-3 PUFAs and iron, led to reduced anticancer capacity, chemosensitivity, anti-inflammatory and antioxidant properties of the K-562 cells. These effects were found to be mediated by oxidative stress.

Methodology for Determination of the Total Amount of Phenolic Substances, Flavonoids and Antioxidant Capacity of Plant Samples using Combined Extraction

Although multiple methodologies are used to determine antioxidant parameters in plants, most studies use separate extractions for each type of the determination. The aim of this work was to specify detailed methodology able to analyse the total amount of phenolic and flavonoid compounds and total antioxidant capacity from one sample using a microtitration plate format to minimize the sample consumption. In addition to that, the described extraction procedure and the decreased sample consumption enable one to make complementary analyses and a closer characterization of the composition of plant samples. The extract can be used for subsequent targeted analyses, which was demonstrated by the determination of selected flavonoids using GC-MS analysis, which confirmed the results of spectrophotometry. The described combined extraction of plant samples facilitates complex analyses, reduces the amount of starting material and enables the subsequent analysis of biomolecules.

Evaluation of Reference Genes for Normalizing RT-qPCR and Analysis of the Expression Patterns of WRKY1 Transcription Factor and Rhynchophylline Biosynthesis-Related Genes in Uncaria rhynchophylla.

Uncaria rhynchophylla (Miq.) Miq. ex Havil, a traditional medicinal herb, is enriched with several pharmacologically active terpenoid indole alkaloids (TIAs). At present, no method has been reported that can comprehensively select and evaluate the appropriate reference genes for gene expression analysis, especially the transcription factors and key enzyme genes involved in the biosynthesis pathway of TIAs in U. rhynchophylla. Reverse transcription quantitative PCR (RT-qPCR) is currently the most common method for detecting gene expression levels due to its high sensitivity, specificity, reproducibility, and ease of use. However, this methodology is dependent on selecting an optimal reference gene to accurately normalize the RT-qPCR results. Ten candidate reference genes, which are homologues of genes used in other plant species and are common reference genes, were used to evaluate the expression stability under three stress-related experimental treatments (methyl jasmonate, ethylene, and low temperature) using multiple stability analysis methodologies. The results showed that, among the candidate reference genes, S-adenosylmethionine decarboxylase (SAM) exhibited a higher expression stability under the experimental conditions tested. Using SAM as a reference gene, the expression profiles of 14 genes for key TIA enzymes and a WRKY1 transcription factor were examined under three experimental stress treatments that affect the accumulation of TIAs in U. rhynchophylla. The expression pattern of WRKY1 was similar to that of tryptophan decarboxylase (TDC) under ETH treatment. This research is the first to report the stability of reference genes in U. rhynchophylla and provides an important foundation for future gene expression analyses in U. rhynchophylla. The RT-qPCR results indicate that the expression of WRKY1 is similar to that of TDC under ETH treatment. It may coordinate the expression of TDC, providing a possible method to enhance alkaloid production in the future through synthetic biology.

Nonfucosylation of an anti-TIGIT antibody enhances FcγR engagement, driving innate immune activation and antitumor activity.

TIGIT is an immune checkpoint receptor expressed on activated and memory T cells, immunosuppressive T regulatory cells, and natural killer (NK) cells. TIGIT has emerged as an attractive target for antitumor therapies, due to its proposed immunosuppressive effects on lymphocyte function and T cell activation. We generated an anti-TIGIT monoclonal antibody (mAb) that binds with high affinity to human, non-human primate, and murine TIGIT and through multiple experimental methodologies demonstrated that checkpoint blockade alone is insufficient for antitumor activity. Generating anti-TIGIT mAbs with various Fc backbones we show that muting the Fc-Fcγ receptor (FcγR) interaction failed to drive antitumor activity, while mAbs with Fc functional backbones demonstrate substantial antitumor activity, mediated through activation of antigen-presenting cells (APCs), T cell priming, and NK-mediated depletion of suppressive Tregs and exhausted T cells. Further, nonfucosylation of the Fc backbone resulted in enhanced immune responses and antitumor activity relative to the intact IgG1 backbone. The improved activity correlated with the biased FcγR interaction profile of the nonfucosylated anti-TIGIT mAb, which supports that FcγRIIIa binding with decreased FcγRIIb binding favorably activates APCs and enhances tumor-specific CD8+ T cell responses. The anti-TIGIT mAbs with intact FcγR interacting backbones also demonstrated synergistic enhancement of other standard antitumor treatments, including anti-PD-1 treatment and a model monomethyl auristatin E antibody-drug conjugate. These findings highlight the importance of the anti-TIGIT mAb's Fc backbone to its antitumor activity and the extent to which this activity can be enhanced through nonfucosylation of the backbone.

Assessing the diet and seed dispersal ability of non-native sambar deer (Rusa unicolor) in native ecosystems of south-eastern Australia.

Understanding the influence of non-native herbivores on ecosystems by means of dietary foraging and seed dispersal is important for understanding how non-native species can alter an invaded landscape, yet requires multiple methodologies. In south-eastern Australia, introduced sambar deer (Rusa unicolor) are rapidly expanding in range and placing native ecosystems at risk through browsing and as vectors for seed dispersal. We simultaneously investigated sambar deer dietary composition and seed dispersal using DNA sequencing and germination trials, from faecal pellets collected in alpine and wet forest ecosystems. This allowed us to contrast the dietary impacts of introduced sambar deer in different environments, and to explore the potential for habitat-specific variation in diet. DNA sequencing of the trnL, ITS2 and rbcL gene regions revealed a diverse plant species dietary composition comprising 1003 operational taxonomic units (OTUs). Sambar deer exhibited intermediate feeder behaviours dominated by forbs in alpine and shrubs in wet forest ecosystems. A large proportion of plant OTUs were considered likely to be native, however, the proportion of exotic species in the diet in both ecosystems was greater than would be expected based on the proportion of exotic species in each of the two landscapes. Seed germination trials indicated that sambar deer can disperse a substantial number of native and exotic species in both alpine and wet forest ecosystems. In alpine ecosystems, an individual sambar deer was estimated to disperse on average 816 (±193) seeds per day during the study period, of which 652 (±176) were exotic. Synthesis and applications. Our results suggest that native plant species comprise the majority of sambar deer diets in Australian ecosystems and that the introduced species is dispersing both native and exotic plant species via endozoochory. However, exotic species seedling germination numbers were significantly higher in alpine ecosystems, and given the large daily movements of sambar deer, represents a significant vector for the spread of exotic plant species. Management of native plant species and vegetation communities of conservation significance, or at risk to sambar deer browsing is of high priority, through either the removal of sambar deer or implementation of exclusion-based methods.

The Mood, Mother and Child Study: Protocol for a Prospective Longitudinal Study and Randomized Controlled Trial.

Perinatal depression affects >400,000 mother-child dyads in the United States every year and is associated with numerous adverse maternal and child developmental outcomes. Previous research implicates the dysregulation of oxytocin and the hypothalamic-pituitary-adrenal (HPA) axis functioning in mothers and children as potential mechanisms mediating or moderating the transmission of risk associated with maternal depression. The Mood, Mother and Child study will examine the psychobiological sources of risk and resilience within mother-child dyads affected by maternal depression. This manuscript describes (1) the study rationale and aims, (2) the research design and procedures and how they were altered in response to the COVID-19 pandemic, and (3) the data analysis plan to test the study hypotheses. This is a prospective longitudinal study with an embedded randomized controlled trial that examines (1) correlations among postpartum depression and anxiety symptoms, maternal and child oxytocin and HPA axis functioning, and child developmental outcomes and (2) the causal relationship between exogenous oxytocin and HPA reactivity. This study is funded by the National Institute of Child Health and Human Development with institutional review board approval. Recruitment and data collection have commenced, and the expected results will be available in 2024. Analyses are presented for testing the proposed hypotheses. The unique combination of a prospective longitudinal research design with an embedded randomized controlled trial will allow the Mood, Mother and Child study to apply a developmental lens to the study of maternal depression and anxiety symptoms from birth to middle childhood and the psychobiological mechanisms promoting risk and resiliency for both mother and child outcomes. This will be the first study that simultaneously evaluates (1) the role of oxytocin using multiple methodologies, (2) the causal relationships between exogenous oxytocin and HPA axis functioning among mothers with differing levels of depression and anxiety symptoms, and (3) the multiple mediating and moderating roles of parenting behaviors and maternal and child psychobiological characteristics. The goals of these aims are to provide insights into the psychobiological effects of oxytocin in women and inform future clinical trials to treat perinatal mood disorders. ClinicalTrials.gov NCT03593473; https://classic.clinicaltrials.gov/ct2/show/NCT03593473. DERR1-10.2196/51132.

Congenital myasthenic syndrome type 2C in a neonate: Redefining the phenotype of CHRNB1‐related myasthenic syndromes

AbstractObjectiveWe present a neonate with generalized weakness due to autosomal recessive congenital myasthenic syndrome type 2C (CMS2C) resulting from a compound heterozygous mutation in the CHRNB1 gene.Patient descriptionOur patient was determined by multiple methodologies to have a diagnosis of CMS2C (OMIM #616314). Whole‐genome sequencing revealed two distinct variants in the CHRNB1 gene (OMIM *100710): a maternally inherited 2 kb pathogenic microdeletion on chromosome 17p13.1 and a paternally inherited intronic deletion (c.1218‐9_1218‐7) that was reported by the laboratory as a variant of unknown significance.ConclusionsCMS2C is a rare autosomal recessive genetic condition associated with early‐onset muscle weakness. Our patient had a paternally inherited deletion in CHRNB1 (c.1218‐9_1218‐7) that was initially described as a variant of unknown significance. We suggest this finding is “likely pathogenic,” as this aberration has not been commonly described. He also had a partial deletion of CHRNB1 in the maternally inherited allele, which provides further evidence that partial gene deletions may be a more common molecular mechanism than previously known for this condition. The combination of the clinical presentation and electrophysiologic data allowed us to understand the molecular findings and ultimately diagnose CMS2C in our patient.

Anti-Viral Activity of Bioactive Molecules of Silymarin against COVID-19 via In Silico Studies.

The severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection drove the global coronavirus disease 2019 (COVID-19) pandemic, causing a huge loss of human life and a negative impact on economic development. It is an urgent necessity to explore potential drugs against viruses, such as SARS-CoV-2. Silymarin, a mixture of herb-derived polyphenolic flavonoids extracted from the milk thistle, possesses potent antioxidative, anti-apoptotic, and anti-inflammatory properties. Accumulating research studies have demonstrated the killing activity of silymarin against viruses, such as dengue virus, chikungunya virus, and hepatitis C virus. However, the anti-COVID-19 mechanisms of silymarin remain unclear. In this study, multiple disciplinary approaches and methodologies were applied to evaluate the potential mechanisms of silymarin as an anti-viral agent against SARS-CoV-2 infection. In silico approaches such as molecular docking, network pharmacology, and bioinformatic methods were incorporated to assess the ligand-protein binding properties and analyze the protein-protein interaction network. The DAVID database was used to analyze gene functions, such as the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment. TCMSP and GeneCards were used to identify drug target genes and COVID-19-related genes. Our results revealed that silymarin compounds, such as silybin A/B and silymonin, displayed triplicate functions against SARS-CoV-2 infection, including directly binding with human angiotensin-converting enzyme 2 (ACE2) to inhibit SARS-CoV-2 entry into the host cells, directly binding with viral proteins RdRp and helicase to inhibit viral replication and proliferation, and regulating host immune response to indirectly inhibit viral infection. Specifically, the targets of silymarin molecules in immune regulation were screened out, such as proinflammatory cytokines TNF and IL-6 and cell growth factors VEGFA and EGF. In addition, the molecular mechanism of drug-target protein interaction was investigated, including the binding pockets of drug molecules in human ACE2 and viral proteins, the formation of hydrogen bonds, hydrophobic interactions, and other drug-protein ligand interactions. Finally, the drug-likeness results of candidate molecules passed the criteria for drug screening. Overall, this study demonstrates the molecular mechanism of silymarin molecules against SARS-CoV-2 infection.

Integration of phenotypic, qPCR and genome sequencing methodologies for the detection of antimicrobial resistance and virulence in clinical isolates of a tertiary hospital, India.

The emergence of antimicrobial resistance (AMR) and virulence in clinical isolates is a significant public health concern. The rapid and accurate detection of these traits in clinical isolates is essential for effective infection control and treatment. We demonstrated the integration of multiple detection methodologies, including phenotypic testing, quantitative polymerase chain reaction (qPCR), and genome sequencing, to detect AMR and virulence in clinical isolates. One hundred sixty-two gram-negative bacterial clinical isolates were selected for this study from the Shri Vinoba Bhave Civil Hospital, Silvassa, a tertiary government hospital. Antimicrobial susceptibility was detected by determining the Minimum Inhibitory Concentration (MIC) using Vitek-2, whereas the combined disk (CD) method was used for phenotypic detection of carbapenemase activity. The highest sensitivity rates were obtained for antibiotics colistin 87.93%, amikacin 67.52%, tigecycline 63.39%, nitrofurantoin 60.87%, and gentamycin 56.08%. The most resistant antibiotics were ceftazidime (71.93%), ciprofloxacin (67.95%) and trimethoprim/sulfamethoxazole (65.56%). Approximately 46.91% (76) of all the isolates were MBL isolates. The qPCR results confirmed the presence of blaNDM-1 in 29.01% of the isolates. The blaNDM-1 harbouring isolates in descending order, were Acinetobacter, Enterobacter cloacae, and Klebsiella pneumoniae. Klebsiella and Acinetobacter isolates were extensively drug-resistant. Whole genome sequencing performed on one of the Klebsiella pneumoniae isolates revealed the presence of many virulence factors, which increased the pathogenicity of the clinical isolates. The results showed that antimicrobial resistance, including carbapenem resistance, blaNDM-1, and virulence factors, was highly prevalent among isolates from tertiary clinical hospitals. The integration of multiple detection methodologies can potentially improve the detection of AMR and virulence in clinical isolates, leading to better patient outcomes and a reduced spread of these essential traits.

Engineered Microbial Nanohybrids for Tumor-Mediated NIR II Photothermal Enhanced Ferroptosis/Cuproptosis and Immunotherapy.

The colon tumor microenvironment has a high concentration of H2 S and glutathione, which is highly immunosuppressive and adverse to multiple therapeutic methodologies such as ferroptosis. Here, an engineered microbial nanohybrid based on Escherichia coli (E. coli) and Cu2 O nanoparticles to specific colon tumor therapy and immunosuppression reversion is reported. The as-prepared E. coli@Cu2 O hybrid can accumulate in tumor sites upon intravenous injection, and Cu2 O nanoparticles convert to Cux S by consuming the endogenous H2 S, which exhibits strong photothermal conversion at near-infrared II (NIR II) biological window. Furthermore, E. coli@Cu2 O is able to induce cellular ferroptosis and cuproptosis through inactivation of glutathione peroxidase 4 and aggregation of dihydrolipoamide S-acetyltransferase, respectively. Photothermal-enhanced ferroptosis/cuproptosis achieved by E. coli@Cu2 O reverses the immunosuppression of colon tumors by triggering dendritic cell maturation (about 30%) and T cell activation (about 50% CD8+ T cells). Concerted with immune checkpoint blockade, the engineered microbial nanohybrid can inhibit the growth of abscopal tumors upon NIR illumination. Overall, the designed microbial nanohybrid can achieve tumor-specific photothermal-enhanced ferroptosis/cuproptosis and immunosuppression reversion, showing promise in precise tumor therapy in future clinical translation.

Introduction

This introduction to Studies in Comics (SiC) 14.2 signposts the themes covered by the articles, interviews and reviews therein. It summarizes how our first trio of articles address the politics and consequences of conflict, with a particular focus on depictions of space and place and how these speak to – or can challenge – existing hierarchies. It then discusses our second grouping of articles, highlighting the ways that these represent the potential of academic study to bring fresh eyes to old questions, as our contributors use comics to revisit or rearticulate key debates, such as defining metalepsis, exploring the Derridean archive, or teaching literacy. It stresses the wide breadth of both texts and approaches that appear within this issue, which covers many types of comics (graphic novel, small press, educational); multiple methodologies (applied analysis, theoretical discussion, empirical study); and represents contributors and content from diverse locations (including Austria, Belgium, France, India, Indonesia, Japan, Spain, United Kingdom and United States).

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview.

Prognostic and health management (PHM) plays a vital role in ensuring the safety and reliability of aircraft systems. The process entails the proactive surveillance and evaluation of the state and functional effectiveness of crucial subsystems. The principal aim of PHM is to predict the remaining useful life (RUL) of subsystems and proactively mitigate future breakdowns in order to minimize consequences. The achievement of this objective is helped by employing predictive modeling techniques and doing real-time data analysis. The incorporation of prognostic methodologies is of utmost importance in the execution of condition-based maintenance (CBM), a strategic approach that emphasizes the prioritization of repairing components that have experienced quantifiable damage. Multiple methodologies are employed to support the advancement of prognostics for aviation systems, encompassing physics-based modeling, data-driven techniques, and hybrid prognosis. These methodologies enable the prediction and mitigation of failures by identifying relevant health indicators. Despite the promising outcomes in the aviation sector pertaining to the implementation of PHM, there exists a deficiency in the research concerning the efficient integration of hybrid PHM applications. The primary aim of this paper is to provide a thorough analysis of the current state of research advancements in prognostics for aircraft systems, with a specific focus on prominent algorithms and their practical applications and challenges. The paper concludes by providing a detailed analysis of prospective directions for future research within the field.

Major aviation accident investigation methodologies used by ITSA members

The International Civil Aviation Organization (ICAO) Annex 13 framework for aviation investigation is longstanding and well developed but does not require or audit use of methodologies for investigation analysis, including research literature safety/accident models (SAMs). Government Safety Investigation Authority (SIA) websites rarely mention methodologies. Limited published research engages directly with SIAs. A research/practice gap has been suggested.To address ICAO, SIA and research gaps, this qualitative multi-case study examines SIA use and documentation of methodologies for accident analysis. Nine of seventeen SIA members of the International Transportation Safety Association (ITSA) that investigate aviation accidents agreed to participate and provided written answers to our research questions, relevant internal documentation, and exemplar investigation reports.Our key findings are that participant SIAs have augmented ICAO requirements internally by their use of methodologies but that this usage was generally not obvious in published investigation reports and other SIA website material. It also varied significantly among the participants. All participant SIAs reported use of multiple methodologies, sometimes in the same investigation. Explicitly reported SIA methodology usage included: six Reason-based, six Rasmussen-based, three ‘recent systemic’, five ‘BowTie’, five ‘bespoke’, and seven using various other methodologies like ‘SHELL’.The industry impact of this qualitative research is hoped to be significant by being shared with participant SIAs unaware of each other’s practice, enabling consideration of different options. It can inform additional aviation SIAs, ICAO, air safety investigators, and other high-risk industry regulators and investigators. Safety researchers may be better placed to develop SAMs with greater practical industry relevance.

Acute and long-term psychosocial consequences in grandparents when a grandchild is diagnosed with cancer – the GROKids Project: a population-based mixed-methods study protocol

BackgroundGrandparents play a crucial role in providing their families with love, support, and wisdom, often also supporting them in practical and financial ways. The psychosocial effects experienced by grandparents when a grandchild is diagnosed with an illness can be significant, including increased stress, anxiety, grief, and disruptions in their own lives. Yet, the experience of grandparents is often overlooked in the literature.Methods/designThe GROKids Project aims to investigate how grandparents are affected by a grandchild's cancer diagnosis. It employs a mixed-methods approach and consists of three studies: a longitudinal cohort study (Study 1) and a qualitative study (Study 2) involving grandparents of children with a recent cancer diagnosis, and a cross-sectional study (Study 3) of grandparents of childhood cancer survivors. Study 1 covers four time points over two years after the cancer diagnosis, while Study 2 explores the lived experiences of a subsample of these grandparents. Study 3 collects data from grandparents of childhood cancer survivors diagnosed 3 to 10 years ago. Participants are recruited across eight pediatric oncology centers in Switzerland, and through patient advocacy and support groups. Eligibility criteria include having a grandchild diagnosed with cancer and being fluent in German, French, or Italian.Study procedures involve requesting grandparents’ contacts from eligible families, and later contacting grandparents, providing study information, obtaining informed consent, and sending out questionnaires by post or online. Reminder calls and mails are used to improve response rates. Data analysis includes multilevel regression (Study 1), thematic analysis (Study 2), and regression analyses (Study 3). Various validated questionnaires are used to assess physical health and overall well-being, psychological health, internal, and external factors.DiscussionThis project addresses the gaps in understanding the psychosocial effects on grandparents having a grandchild diagnosed with cancer. It utilizes a comprehensive approach, including multiple methodologies and considering the broader family context. The project’s strengths lie in its mixed-methods design, longitudinal approach, and inclusion of the perspectives of the sick children, siblings, and parents, besides grandparents. By gaining a more profound understanding of grandparents' experiences, researchers and healthcare professionals can develop targeted interventions and support services to address grandparents’ unique needs.

Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China

This study aims to explore the complex dynamic relationship between carbon emission intensity (CEI) and high-quality economic development (HQED) in the Yellow River Basin (YRB), with the goal of fostering ecological protection and high-quality development strategies. However, there is limited knowledge on the comprehensive development level, evolutionary trends, and driving factors of these two systems in the YRB. To address this, the study uses multiple methodologies, including nighttime light data, the entropy-topsis method, the coupling coordination degree model (CCDM), exploratory spatial data analysis (ESDA), and the geodetector model, to examine the coupling coordination relationship and driving factors between CEI and HQED across sixty cities in the YRB from 2010 to 2019. The results reveal a decreasing trend in CEI and a “U”-shaped development trend for HQED, characterized by low coordination and significant spatial imbalance. Moreover, per capita GDP, population density, urbanization level, industrial structure, and energy intensity are found to have significant driving effects on the CCD. Based on the results, the study suggests policies to boost the CCD between CEI and HQED. These involve promoting green transitions, endorsing spatially tailored development strategies, and implementing interventions on major CCD drivers for balanced growth. It also proposes refining regional governance and establishing an innovation fund for green technologies, particularly beneficial for underdeveloped regions. These policy implications could guide economic development and emission reduction strategies in ecologically fragile and economically underdeveloped regions.

Minimal Required Resolution to Capture the 3D Shape of the Human Back-A Practical Approach.

Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal disorder that causes abnormal spinal deformities. The early screening of children and adolescents is crucial to identify and prevent the further progression of AIS. In clinical examinations, scoliometers are often used to noninvasively estimate the primary Cobb angle, and optical 3D scanning systems have also emerged as alternative noninvasive approaches for this purpose. The recent advances in low-cost 3D scanners have led to their use in several studies to estimate the primary Cobb angle or even internal spinal alignment. However, none of these studies demonstrate whether such a low-cost scanner satisfies the minimal requirements for capturing the relevant deformities of the human back. To practically quantify the minimal required spatial resolution and camera resolution to capture the geometry and shape of the deformities of the human back, we used multiple 3D scanning methodologies and systems. The results from an evaluation of 30 captures of AIS patients and 76 captures of healthy subjects showed that the minimal required spatial resolution is between 2 mm and 5 mm, depending on the chosen error tolerance. Therefore, a minimal camera resolution of 640 × 480 pixels is recommended for use in future studies.

Applying two methodologies of an integrated coastal vulnerability index (ICVI) to future sea-level rise

Climate change is an issue of concern and is expected to cause various adverse impacts on human societies in the near and long-term future. Sea-level rise, which is caused by global warming and melting continental ice sheets, in combination with the rising global population and evolution of human activities in coastal areas, tends to make coastal societies more prone to coastal hazards. The Gulf of Corinth in Greece with its diverse coastal landforms and tectonic complexity makes the region unique when considering an assessment of coastal vulnerability. In this study we apply an Integrated Coastal Vulnerability Index (ICVI) to a potential sea-level rise for the southern coastline of the Gulf of Corinth (Greece) consisting of physical and socio-economic parameters. Among multiple different methodologies that have been developed over the recent years, we decided to apply two of the mathematical approaches we believe are best suited for the protection of human activities in our study area. The first one, ICVI_1, is based on the Coastal Vulnerability Index (CVI) by Thieler and Hammar-Klose (1999) with variables of equal relative importance, whereas the second one, ICVI_2, uses the Analytic Hierarchic Process (AHP) with the assignment of relative weight values to each parameter. The parameters were identified and ranked into a vulnerability index with a scale from 1 to 5. The results reveal that both approaches depict more or less the same coastal sections of high or very high vulnerability, but differ in the distribution of extreme values. ICVI_1 shows that 18.3% of the total coastline features very high vulnerability (score 5), while ICVI_2 shows 9.1%. The coastal sections with the highest scores of vulnerability are mostly represented in the eastern part of the studied coastline with low-lying regions of gentle slope and concentrated human activity.

Evaluating a Secondary Education Urban Ecology Project within the Framework of a Problem-Based Learning Methodology

As a reaction to the current situation of local and global environmental deterioration, recent decades have seen the emergence of multiple educational strategies and methodologies within Environmental Education (EE) with the aim of promoting pro-environmental attitudes among young people. One of these strategies is Problem-Based Learning (PBL), and it is necessary to analyze the didactic implications of this methodology in the field of EE in order to maximize its effectiveness. This study evaluates the implementation and didactic implications of an environmental project designed under the PBL methodology. The project was carried out over consecutive years of compulsory secondary education (Grades 9 and 10) in two secondary schools in the province of Granada, Spain. The data collection instruments used included the researcher’s diary, self-assessment and reflection questionnaires for the participating students, and questionnaires and rubrics completed by the audience during the presentation of the final product. The study employed a qualitative interpretative approach, using response categorization and SWOT analyses, the results of which revealed multiple conclusions, highlighting the high level of motivation, work and participation of the students, as well as the didactic benefits of the enriching socialization of the project. Difficulties, such as time management and cooperative group work, lack of practice in the methodology used and challenges related to the use of information and communication technologies (ICT), were also identified. Finally, recommendations are provided for the application of this methodology in other educational contexts.

Evaluation of emission reduction and other societal and environmental outcomes: Structured decision making for the Louisiana climate action plan

Climate action planning continues to accelerate rapidly across the globe as communities seek to prepare to thrive in an uncertain future. Climate action planning is a particularly contentious and complex topic in the southern United States, however, because of significant economic reliance on industries that contribute substantially to greenhouse gas emissions, and due to a complicated relationship between industry and persistent racial and economic inequities that contribute to distrust between communities, businesses, and state governments. Within the last decade, research efforts have begun to evaluate approaches used to develop city, state, and national-level climate action plans, finding that planning efforts are often as diverse as the localities they represent. Climate action planning processes that evaluate the potential implications of climate action on greenhouse gas emissions and societal values are often driven by either qualitative stakeholder engagement or by the results of numerical models. While both approaches are valuable, they also have limitations that can result in climate action plans that are unrealistic or unimplementable. Limited research is available that assesses planning efforts that integrate multiple evaluation methodologies. In this study, we evaluate the strengths and limitations of integrating qualitative and quantitative climate action evaluation methodologies in a planning process grounded in structured decision making using Louisiana as a case study. This mixed method planning approach applied both quantitative numerical models and qualitative expert elicitation to evaluate potential implications of climate action for Louisiana. We found that integration of approaches through a transparent, structured, and objectives-orientated process allowed for robust analysis of potential climate actions while engendering process buy-in across diverse stakeholder interests. This process ultimately resulted in the unanimous adoption of Louisiana's climate action plan, characterized by a wholistic and implementable set of climate actions balanced against the values of Louisianians. The process outlined in this study represents a replicable approach for other climate action planning efforts.

Evaluation of thallium ion as an effective ion in human health using an electrochemical sensor

Exposure to thallium (Tl), a noxious heavy metal, poses significant health risks to both humans and animals upon ingestion. Therefore, monitoring Tl levels in the environment is crucial to prevent human exposure and reduce the risk of developing severe health problems. This paper presents the development of a highly sensitive Tl ions sensor through surface modification of a glassy carbon electrode with a nanocomposite comprising MnO2 magnetic sepiolite and multi-walled carbon nanotubes (MnO2@Fe3O4/Sep/MWCNT/GCE). Multiple methodologies were employed to assess the performance of the newly developed sensor. By employing square wave anodic stripping voltammetry (SWASV) to optimize the measurement conditions, notable enhancements were observed in the stripping peak currents of Tl (I) on the MnO2@Fe3O4/Sep/MWCNT/GCE surface. The effectiveness of the nanocomposite in facilitating electron transfer between the Tl (I) ions (guest) and the electrode (host) was demonstrated from the enhanced signals observed at the different modified electrode surfaces under optimal conditions. The developed sensor displayed a wide linear range of 0.1–1500 ppb for Tl (I) and a low detection limit of 0.03 ppb for Tl (I). It was found to be selective for Tl (I) ions while remaining unaffected by interfering non-target ions in the presence of the target ions. Despite its simple preparation procedure, the modified electrode exhibited high stability and excellent reproducibility for measuring Tl (I). The outstanding electroanalytical performances of the MnO2@Fe3O4/Sep/MWCNT/GCE electrode enabled its successful use as an ultrasensitive sensor for determining trace amounts of Tl in environmental samples.