Mapping Studies Research Articles

Genetic insights into hypoxia tolerance in silver sillago (Sillago sihama) through QTL mapping and SNP association analysis

Oxygen is vital for the survival, growth, development, and reproduction of organisms. This study investigates the genetic basis of hypoxia tolerance in the silver sillago (Sillago sihama), a species highly valued in aquaculture despite its traditional susceptibility to low oxygen environments. By employing quantitative trait locus (QTL) mapping and single nucleotide polymorphism (SNP) association studies, the study enhances our comprehension of the genetic factors involved in hypoxia tolerance. Six QTLs associated with hypoxia tolerance have been identified, spanning five distinct linkage groups. Enrichment analyses highlighted important biological processes and pathways, particularly those related to potassium ion transport and cytochrome P450-mediated drug metabolism, which play a critical role in responding to hypoxia stress. Seven candidate genes have been identified as relevant to hypoxia tolerance: cyp20a1, mgst3b, kcnh2, cluh, adk, xdh, and slc19a2. Notably, the SNP association analysis has identified 13 SNPs within the mgst3b gene, with five SNPs (g.583 T > C, g.611 A > G, g.629 T > A, g.633 T > A, g.937 A > G) showing a significant association with hypoxia tolerance. This study sheds light on the molecular mechanisms underlying hypoxia tolerance and suggests potential genetic markers that could be used to enhance S. sihama's ability to withstand hypoxic conditions through selective breeding, providing valuable insights for the improvement of sustainable aquaculture practices.

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

An electrocardiogram is a medical examination tool for measuring different patterns of heart blood flow circle either in the form of usual or non-invasive patterns. These patterns are useful for the identification of morbidity condition of the heart especially in certain conditions of heart abnormality and arrhythmia. Myocardial infarction (MI) is one of them that happened due to sudden blockage of blood by the cause of malfunction of heart. In electrocardiography (ECG) intensity of MI is highlighted on the basis of unusual patterns of T wave changes. Various studies have contributed for MI through T wave’s classification, but more to the point of T wave has always attracted the ECG researchers. Methodology. This Study is primarily designed for proposing the combination of latest methods that are worked for the solutions of pre-defined research questions. Such solutions are designed in the form of the systematic review process (SLR) by following the Kitchen ham guidance. The literature survey is a two phase’s process, at first phase collect the articles that were published in IEEE Xplore, Scopus, science direct and Springer from 2008 to 2023. It consist of steps; the first level is executed by filtrating the articles on the basis of keyword phase of title and abstract filter. Similarly, at two level the manuscripts are scanned through filter of eligibility criteria of articles selection. The last level belongs to the quality assessment of articles, in such level articles are rectified through evaluation of domain experts. Results. Finally, the selected articles are addressed with research questions and briefly discuss these selected state-of-the-art methods that are worked for the T wave classification. These address units behave as solutions to research problems that are highlighted in the form of research questions. Conclusion and future directions. During the survey process for these solutions, we got some critical observations in the form of gaps that reflected the other directions for researchers. In which feature engineering, different dependencies of ECG features and dimensional reduction of ECG for the better ECG analysis are reflection of future directions.

Mutual recognition of qualifications, health workforce migration, and graduate outcomes: a comparative mapping study of undergraduate dental education in Europe

BackgroundThe resource needs of health services are served by the recognition of qualifications across borders which allows professionals to migrate between countries. The movement of dentists across the European Union (EU), especially into the United Kingdom (UK), has provided a valuable boost to workforce supply. Recent changes to policy recognising overseas qualifications have brought attention to the equivalence of qualifications awarded in EU countries. Professional regulators need to be confident that dentists who qualified elsewhere have the appropriate knowledge, skills and experience to practise safely and effectively. The aim of this study was to compare UK and EU dental curricula, identify any differences, and compare the extent of pre-qualification clinical experience.MethodsThis was a mixed methods study comprising a questionnaire and website searches to identify information about curricula, competences, and quality assurance arrangements in each country. The questionnaire was sent to organisations responsible for regulating dental education or dental practice in EU member states. This was supplemented with information obtained from website searches of stakeholder organisations for each country including regulators, professional associations, ministries, and providers of dental education. A map of dental training across the EU was created.ResultsNational learning outcomes for dental education were identified for seven countries. No national outcomes were identified 13 countries; therefore, learning outcomes were mapped at institution level only. No information about learning outcomes was available for six countries. In one country, there is no basic dental training. Clinical skills and communication were generally well represented. Management and leadership were less represented. Only eight countries referenced a need for graduates to be aware of their own limitations. In most countries, quality assurance of dental education is not undertaken by dental organisations, but by national quality assurance agencies for higher education. In many cases, it was not possible to ascertain the extent of graduates’ direct clinical experience with patients.ConclusionsThe findings demonstrate considerable variation in learning outcomes for dental education between countries and institutions in Europe. This presents a challenge to decision-makers responsible for national recognition and accreditation of diverse qualifications across Europe to maintain a safe, capable, international workforce; but one that this comparison of programmes helps to address.

Mining architectural information: A systematic mapping study

Mining architectural information: A systematic mapping study

Study of maize endophytes worldwide-analyzing and mapping by bibliometric approach

Study of maize endophytes worldwide-analyzing and mapping by bibliometric approach

Multi-Class Imbalanced Data Classification: A Systematic Mapping Study

Multi-Class Imbalanced Data Classification: A Systematic Mapping Study

Experimental study on responsiveness of multi-spectrum infrared flame detectors to diffuse flames partially hidden by obstacles installed in oil and gas processing facilities

Multi-spectrum infrared flame detectors are commonly installed in many oil and gas processing facilities for an early fire detection. Since these facilities are filled with equipment and piping, the visibility of flames from infrared flame detector is a critical factor for reliable and early detection. However, conventional methodology of fire mapping study does not consider the three-dimensional spread of flames. Therefore, this paper focuses on the responsiveness of multi-spectrum infrared flame detectors under the condition that flame is partially hidden by such obstructions.A series of full-scale experiments was conducted to examine the responsiveness of infrared flame detectors to flames partially hidden by shielding objects. These experiments simulated various conditions seen in the oil and gas processing facilities.The experiments have confirmed the relationship between the intensity of infrared energy and the obstruction ratio. Specifically, the infrared energy at a wavelength of 4.504 μm emitted from a flame hidden by shielding objects can be quantified using the obstruction ratio, the ratio of visible area of partially hidden flame. By using these indices, it has been clarified that the infrared energy emitted from a partially hidden flame at the location of an infrared flame detector can be estimated. The responsiveness of detectors depends more on the intensity of the infrared energy near 4.5 μm than on flame pulsation. Multi-spectrum flame detectors, commercially available and employed in this study, exhibited performance equal to or even more sensitive than what is stated in their data sheets. Quantitative evaluation of the responsiveness of flame detectors to partially hidden flames revealed in this study can contribute to the improvement of the fire mapping study for the realistic design evaluation in the oil and gas processing facilities.

Non-Binary and Trans-Inclusive AI: A Catalogue of Best Practices for Developing Automatic Gender Recognition Solutions

Artificial intelligence (AI) has significantly optimized processes across various sectors, enhancing efficiency and transforming digital interactions. However, as AI becomes more integrated into daily life, concerns about its social impacts and inherent biases have emerged. This study explores how AI technologies, such as facial recognition and Automatic Gender Recognition (AGR), can perpetuate and amplify societal prejudices, especially against transgender and non-binary individuals. The 2018 case of Amazon's Rekognition technology, which exhibited high false positive rates for individuals with dark skin, highlights the risks of algorithmic bias and mass surveillance. Given these challenges, this research performed performed a systematic mapping study of the literature on AI to present an analysis of problems and respective causes brought by facial recognition and AGR applications to trans and non-binary people. In a second phase, we developed and empirically assessed a catalog of 19 best practices for an ethical AI development grounded in Justice, Equity, Diversity, and Inclusion principles. We aim to establish ethical standards that promote inclusivity to trans and non-binary people, mitigating algorithmic discrimination.

Maser Activity of Organic Molecules toward Sgr B2(N)

At centimeter wavelengths, single-dish observations have suggested that the Sagittarius (Sgr) B2 molecular cloud at the Galactic Center hosts weak maser emission from several organic molecules, including CH2NH, HNCNH, and HCOOCH3. However, the lack of spatial distribution information on these new maser species has prevented us from assessing the excitation conditions of the maser emission as well as their pumping mechanisms. Here, we present a mapping study toward Sgr B2 north (N) to locate the region where the complex maser emission originates. We report the first detection of the Class I methanol (CH3OH) maser at 84 GHz and the first interferometric map of the methanimine (CH2NH) maser at 5.29 GHz toward this region. In addition, we present a tool for modeling and fitting the unsaturated molecular maser signals with non-LTE radiative transfer models and Bayesian analysis using the Markov Chain Monte Carlo approach. These enable us to quantitatively assess the observed spectral profiles. The results suggest a two-chain-clump model for explaining the intense CH3OH Class I maser emission toward a region with low continuum background radiation. By comparing the spatial origin and extent of maser emission from several molecular species, we find that the 5.29 GHz CH2NH maser has a close spatial relationship with the 84 GHz CH3OH Class I masers. This relationship serves as observational evidence to suggest a similar collisional pumping mechanism for these maser transitions.

Expert opinions on improving coercion data collection across Europe: a concept mapping study.

Coercion is frequently used in mental health practice. Since it overrides some patients' fundamental human rights, adequate use of coercion requires legal and ethical justifications. Having internationally standardised datasets to benchmark and monitor coercion reduction programs is desirable. However, only a few countries have specific, open, publicly accessible registries for this issue. This study aims to assemble expert opinions regarding strategies that might be feasible for promoting, developing, and implementing an integrated and differentiated coercion data collection system in Europe at national and international levels. A concept mapping methodology was followed, involving 59 experts from 27 countries in generating, sorting and rating strategies regarding relevance and feasibility. The experts were all researchers and/or practitioner members of an EU-COST-Action focused on coercion reduction Fostering and Strengthening Approaches to Reducing Coercion in European Mental Health Services (FOSTREN). A hierarchical cluster analysis revealed a conceptual map of 41 strategies organized in seven clusters. These clusters fit into two higher-order domains: "Advancing Global Health Research: Collaboration, Accessibility, and Technological Innovations/Advancing International Research" and "Strategies for Comprehensive Healthcare Data Integration, Standardization, and Collaboration." Regarding the action with the higher priority, relevance was generally rated higher than feasibility. No differences could be found regarding the two domains regarding the relevance rating or feasibility of the respective strategies in those domains. The following strategies were rated as most relevant: "Collection of reliable data", "Implementation of nationwide register, including data on coercive measures", and "Equal understanding of different coercive measures". In analysing the differences in strategies between countries and their health prosperity, the overall rating did not differ substantially between the groups. The strategy rated as most relevant was the collection of reliable data in the nationwide health register, ensuring that countries share a standard understanding/definition of different coercive measures. Respondents did not consider the feasibility of establishing a shared European database for coercive measures to be high, nor did they envision the unification of mental health legislation in the future. There is some consensus on the most suitable strategies that can be adopted to enable international benchmarking of coercion in mental health settings.

Genome-wide association study and genomic selection of flax powdery mildew in Xinjiang Province.

Flax powdery mildew (PM), caused by Oidium lini, is a globally distributed fungal disease of flax, and seriously impairs its yield and quality. To data, only three resistance genes and a few putative quantitative trait loci (QTL) have been reported for flax PM resistance. To dissect the resistance mechanism against PM and identify resistant genetic regions, based on four years of phenotypic datasets (2017, 2019 to 2021), a genome-wide association study (GWAS) was performed on 200 flax core accessions using 674,074 SNPs and 7 models. A total of 434 unique quantitative trait nucleotides (QTNs) associated with 331 QTL were detected. Sixty-four loci shared in at least two datasets were found to be significant in haplotype analyses, and 20 of these sites were shared by multiple models. Simultaneously, a large-effect locus (qDI 11.2) was detected repeatedly, which was present in the mapping study of flax pasmo resistance loci. Oil flax had more QTL with positive-effect or favorable alleles (PQTL) and showed higher PM resistance than fiber flax, indicating that effects of these QTL were mainly additive. Furthermore, an excellent resistant variety C120 was identified and can be used to promote planting. Based on 331 QTLs identified through GWAS and the statistical model GBLUP, a genomic selection (GS) model related to flax PM resistance was constructed, and the prediction accuracy rate was 0.96. Our results provide valuable insights into the genetic basis of resistance and contribute to the advancement of breeding programs.

Enhancement of filtration performance and antifouling properties of polyethersulfone membranes using Fe3O4@walnut shell-derived activated carbon nanocomposite for heavy metal ions removal

Effective water treatment methods are required owing to heavy metal ion contamination. The phase inversion approach was employed in this work to prepare antifouling polyethersulfone (PES)/Fe3O4@activated walnut shell carbon (AWSC) nanofiltration membranes to reject heavy metal ions. Characterization techniques for Fe3O4@AWSC nanoparticle (NP) included FT-IR, DLS-ZP, XRD, SEM, EDS mapping, BET, and VSM analyses. Also, SEM, EDS mapping, XRD, AFM, Zeta potential, and water contact angle investigations were utilized to characterize the synthesized membranes. The modified membranes' hydrophilicity and porosity were observed to have improved. To affirm the presence of mesoporous Fe3O4@AWSC in the membrane matrix, EDS mapping, SEM, and AFM studies were used. It was also confirmed how the membrane's characteristics and performance were influenced by the existence of mesoporous Fe3O4@AWSC. The mixed matrix membrane made of a 0.5 wt% mesoporous Fe3O4@AWSC demonstrated a high pure water flow of 72.19 L/m2 h, a flux recovery ratio of 71.66%, and a desired rejection of over 98% against Cu2+, Pb2+, and Zn2+. The 0.5 wt% NP membrane had a noticeably improved surface hydrophilicity, which promoted successful antifouling performance. The results demonstrate that a mixed-matrix antifouling Fe3O4@AWSC membrane is highly effective in eliminating heavy metal ions.

College students' perceptions of electronic cigarette risks and benefits: a concept mapping study.

The use of electronic cigarettes (e-cigarettes) is on the rise among young adults, with higher public acceptance than traditional tobacco. A study in Taiwan employed concept mapping to explore risk and benefit perceptions of e-cigarette use among college students. The study involved 100 college students from 11 Taiwanese universities, with 50 being e-cigarette users and 50 non-users. Data collection and analysis were done with the GroupWisdom™ platform. Participants engaged in brainstorming, rating and sorting their perceptions, which were analyzed using multidimensional scaling and hierarchical cluster analyses. The participants' mean age was 19.24 years, and 55% were male. This process resulted in the identification of 10 clusters encompassing 64 statements, with 3 clusters focused on risk perceptions, 6 on benefit perceptions, and 1 dealing with e-cigarette regulations. Notably, risk perceptions were rated higher than benefit perceptions. Non-users held significantly higher risk perceptions and lower benefit perceptions across the nine clusters related to e-cigarette use. Concept mapping proved to be an effective tool for understanding college students' perceptions. These findings can assist health educators in comprehending college students' viewpoints on e-cigarette use and in developing targeted interventions. Additionally, exploring benefit perceptions may enhance students' critical thinking skills regarding e-cigarette advertising.

Embedding research within occupational therapy pre-registration training: A concept mapping study engaging staff and student voices

Introduction: Occupational therapists require research and evaluation skills to deliver evidence-based care, making research education integral to their training. We aimed to develop a student and staff-informed strategy to further embed research into the occupational therapy programmes and enhance the research culture at a United Kingdom Higher Education Institution. Method: We used group concept mapping to gather ideas from students and staff on how to embed research and improve research culture within the occupational therapy programmes at a United Kingdom Higher Education Institution. Participants generated, sorted and rated ideas for importance and success. We analysed the data to create a concept map and identified rating values for the themed clusters and their ideas. Results: The concept map contained four themed clusters of ideas: Wider research community, Integration of research into the core programme, Advanced research support and capacity building and Research awareness. Successes and improvement targets were identified within each cluster. Conclusion: Group concept mapping provided a structured and comprehensive method to develop a strategy for embedding research and fostering a research culture in occupational therapy programmes at a higher education institution. The four-themed concept map and identified priority targets serve as a foundation for implementing the strategy and improving research integration in occupational therapy education.

Genome-wide analyses reveals an association between invasive urothelial carcinoma in the Shetland sheepdog and NIPAL1.

Naturally occurring canine invasive urinary carcinoma (iUC) closely resembles human muscle invasive bladder cancer in terms of histopathology, metastases, response to therapy, and low survival rate. The heterogeneous nature of the disease has led to the association of large numbers of risk loci in humans, however most are of small effect. There exists a need for new and accurate animal models of invasive bladder cancer. In dogs, distinct breeds show markedly different rates of iUC, thus presenting an opportunity to identify additional risk factors and overcome the locus heterogeneity encountered in human mapping studies. In the association study presented here, inclusive of 100 Shetland sheepdogs and 58 dogs of other breeds, we identify a homozygous protein altering point mutation within the NIPAL1 gene which increases risk by eight-fold (OR = 8.42, CI = 3.12-22.71), accounting for nearly 30% of iUC risk in the Shetland sheepdog. Inclusion of six additional loci accounts for most of the disease risk in the breed and explains nearly 75% of the phenotypes in this study. When combined with sequence data from tumors, we show that variation in the MAPK signaling pathway is an overarching cause of iUC susceptibility in dogs.

A Prototype Software Framework for Transferable Computational Health Economic Models and Its Early Application in Youth Mental Health.

We are developing an economic model to explore multiple topics in Australian youth mental health policy. To help make that model more readily transferable to other jurisdictions, we developed a software framework for authoring modular computational health economic models (CHEMs) (the software files that implement health economic models). We specified framework user requirements for: a simple programming syntax; a template CHEM module; tools for authoring new CHEM modules; search tools for finding existing CHEM modules; tools for supplying CHEM modules with data; reproducible analysis and reporting tools; and tools to help maintain a CHEM project website. We implemented the framework as six development version code libraries in the programming language R that integrate with online services for software development and research data archiving. We used the framework to author five development version R libraries of CHEM modules focussed on utility mapping in youth mental health. These modules provide tools for variable validation, dataset description, multi-attribute instrument scoring, construction of mapping models, reporting of mapping studies and making out of sample predictions. We assessed these CHEM module libraries as mostly meeting transparency, reusability and updatability criteria that we have previously developed, but requiring more detailed documentation and unit testing of individual modules. Our software framework has potential value as a prototype for future tools to support the development of transferable CHEMs.Code: Visit https://www.ready4-dev.com for more information about how to find, install and apply the prototype software framework.

A feasibility study of Boree Salt body mapping in the Adavale Basin using passive seismic data

Hydrogen plays a pivotal role in the global energy transition and may require underground storage. So far salt cavern storage is the only proven technology for underground hydrogen storage. The Boree Salt in the Adavale Basin, mostly at depths from 1 to 2.5 km and up to 550 m thick, consists predominantly of halite and is deemed suitable for hydrogen storage. However, current maps are inadequate. Recently passive seismic data (ambient noise) have received much interest for subsurface imaging. The main signal from passive data is surface waves (usually below 2 Hz). The capability of surface waves for the Boree Salt body mapping is examined. Parameters of seismic sensor spacing, the dominant frequencies of the surface waves, and data noise levels are all considered. It is demonstrated that surface waves from ambient noise can map the Boree Salt bodies with a survey distance of ~40 km. Between frequencies of 0.12 and 0.25 Hz, results from the latter have better resolution because of a shorter wavelength. Moving to higher frequencies of 0.5 and 1 Hz, however, the resolution becomes worse, because the depth sensitivity of surface waves moves to the shallower part of the model with increasing frequencies, rendering them incapable of effectively probing the targeted depths. For signal/noise ratio above five, station spacing can be as large as 1 km without compromising quality. Therefore, cost-effective and environmentally friendly passive seismic data can be a good alternative to the traditional active-source data for deep salt body imaging.

Quadrilateral plate classification program of acetabular fractures based on three-column classification: a three-dimensional fracture mapping study

BackgroundA new classification system for acetabular fractures has been proposed in recent years, which is called the 3-column classification. However, this system does not provide information regarding quadrilateral plate fractures. To address this issue, we utilized three-dimensional (3D) fracture line mapping and heat map to analyze the link between the 3-column classification and quadrilateral plate fractures.MethodsWe collected CT scan data from 177 patients who had been diagnosed with acetabular fractures. Additionally, we utilized a CT scan of a healthy adult to generate a standard acetabular model. We utilized the collected CT data of the fracture to create a 3D model and subsequently reduced it. We then matched each acetabular fracture model with the standard acetabular model and mapped all of the fracture lines to the standard model. 3D fracture lines and heat maps were created by overlapping all fracture lines. Fracture characteristics were then summarized using these maps.ResultsThis study analyzed a total of 221 acetabular fractures. The most frequently observed fracture type, based on the three-column classification, was A1.2, which corresponds to fractures of the anterior column. In contrast, the least common type of fracture was A4, which represents fractures of the central wall. It was noted that quadrilateral plate fractures were frequently observed in fractures classified as type B and C according to the three-column classification.ConclusionsAmong the three-column classification, the QLP fractures are commonly observed in type B and C. It is important to carefully identify these fractures during the diagnostic process. Therefore, based on the three-column classification, we have amalgamated quadrilateral plate fractures and formulated a classification program for acetabular fractures.

A new perspective on regional structural architecture across the offshore Otway Basin

Geoscience Australia has undertaken a regional seismic mapping study of the offshore Otway Basin extending across the explored inner basin to the frontier deep-water region. Seismic interpretation covers over 18,000 line-km of new and reprocessed data acquired in the 2020 Otway Basin seismic program and over 40,000 line-km of legacy 2D seismic data. We present new basin-scale isochore maps that show the distribution of the Cretaceous depocentres. Maps for the Lower Cretaceous Crayfish and Eumeralla supersequences, together with those recently published for the Upper Cretaceous Shipwreck and Sherbrook supersequences, complete the set of isochore maps for the main tectonostratigraphic basin intervals. Mapping of basement-involved faults has revealed structural fabrics that have influenced depocentre development. The tectonostratigraphic development of depocentres and maps of deep crustal units delineate crustal thinning trends related to late Cretaceous extension phases. This work highlights the need to review and update structural elements. For example, the boundary between the Otway and Sorell basins is now geologically constrained. The refinements to the tectonostratigraphic evolution of the Otway Basin presented here have important implications for the distribution and potential maturity of petroleum systems, especially with regard to heat flow associated with crustal extension.

Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India

Landslides are a severe geological hazard in northeastern India, particularly in Mizoram’s Aizawl district. To assess this hazard, we conducted a landslide susceptibility mapping study using the frequency ratio (FR) and analytical hierarchy process (AHP) methods. Twelve factors, including slope, elevation, aspect, curvature, topographic wetness index, topographic ruggedness index, rainfall erosivity factor, geology, land use land cover, normalized difference vegetation index (NDVI), and distance to road, were considered. The final susceptibility maps were created by combining these factors, each weighted according to its importance. Since no standard classification guidelines existed, we compared different systems like GIS-based geometric interval (GIC), natural breaks (NBC), and quantile interval (QIC) with mean-standard deviation (MSC). The area was divided into five susceptibility zones: very high, high, moderate, low, and very low. We evaluated the accuracy of these systems using success rate curve (SRC) and quality sum ratio (Qs) techniques. SRC results showed similar performance for GIC, NBC, QIC, and MSC classifications. The AHP method also yielded comparable results. After analyzing the AUC under SRC and Qs, we selected the MSC classification system as the optimal approach for landslide susceptibility mapping. Notably, the distance to roads factor had the highest predictive value, highlighting its importance in identifying slope instability for effective management strategies. As landslides pose significant risks in northeastern India, and our study using FR and AHP methods, along with MSC classification, provides valuable insights for mitigating this geological hazard.