Assessment Of Diversity Research Articles

Improving the Kepler optimization algorithm with chaotic maps: comprehensive performance evaluation and engineering applications

The Kepler Optimisation Algorithm (KOA) is a recently proposed algorithm that is inspired by Kepler’s laws to predict the positions and velocities of planets at a given time. However, although promising, KOA can encounter challenges such as convergence to sub-optimal solutions or slow convergence speed. This paper proposes an improvement to KOA by integrating chaotic maps to solve complex engineering problems. The improved algorithm, named Chaotic Kepler Optimization Algorithm (CKOA), is characterized by a better ability to avoid local minima and to reach globally optimal solutions thanks to a dynamic diversification strategy based on chaotic maps. To confirm the effectiveness of the suggested approach, in-depth statistical analyses were carried out using the CEC2020 and CEC2022 benchmarks. These analyses included mean and standard deviation of fitness, convergence curves, Wilcoxon tests, as well as population diversity assessments. The experimental results, which compare CKOA not only to the original KOA but also to eight other recent optimizers, show that the proposed algorithm performs better in terms of convergence speed and solution quality. In addition, CKOA has been successfully tested on three complex engineering problems, confirming its robustness and practical effectiveness. These results make CKOA a powerful optimisation tool in a variety of complex real-world contexts. After final acceptance, the source code will be uploaded to the Github account: nawal.elghouate@usmba.ac.ma.

Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA

AbstractQuestionsAn essential aspect of variation in natural systems is that species respond to complex environmental gradients. Recognizing plant composition gradients associated with abiotic factors (ecoclines) can be foundational for defining habitat types, which, in turn, helps map natural variation. Typically, ecoclinal structures are assessed through visual evaluation of above‐ground vegetation and analysis of covarying abiotic factors. However, the correlation between ecological structures detected by soil eDNA plant assessments and those identified by visual assessment remains largely unexplored.LocationHvaler archipelago, southern Norway.MethodsPlant diversity assessments were conducted using metabarcoding of the trnL (UUA) intron p6 loop and ITS2 from 31 soil samples collected across six forest types. These forest types span gradients related to drought risk and calcium richness.ResultsThe barcode amplicons identified 70 plant taxa, primarily vascular plants (67), with most assigned to the species level (59), representing common forest taxa across the sites. Comparisons between soil eDNA compositions and theoretical forest‐type compositions showed a low to medium correspondence (26% to 76%) between the two. Ordinations of soil eDNA compositions revealed two axes without clear ecological interpretation and correlated poorly with the calcium–richness gradient previously identified by visual assessments.ConclusionsOverall, our results emphasize the necessity for comprehensive sequence reference libraries to conduct thorough plant biodiversity assessments. They also highlight the potential of soil eDNA to assess plant composition, which can aid in ecosystem mapping.

Patent mining and diversity assessment of nuclear power technologies

Nuclear power technology is one of the pivotal avenues for ensuring a clean global energy transition. Bolstering technological diversity is critical for the sustainable advancement of nuclear power worldwide. However, a gap exists in investigating the trends and diversification of nuclear power technology over the past decade. This study proposes a data-driven integrated approach, leveraging descriptive statistics, co-occurrence analysis, network analysis, and multi-criteria decision-making methods to delve into the patent development, research and development (R&D) landscapes, and international layouts of nuclear power technology. Furthermore, the diversity of nuclear power technology globally and specifically within China is assessed. The findings unveil a substantial surge in nuclear power technology patents since 2020, with China, Japan, and Korea emerging as prominent R&D hubs. The R&D efforts in nuclear power technology predominantly concentrate on the design of nuclear reactor structures and cooling systems. Europe and the United States occupy significant positions within the nuclear power technology patent network. While China's nuclear power technology diversity slightly lags the global average, it has demonstrated a marginal lead since 2021. This study offers a comprehensive decision-support tool for trend analysis and diversity assessment in nuclear power technology.

Microscale thermal variations in a walkable urban area during hot days: Analysis through mobile measurements and Day PET Signatures

This article analyzes the thermal variations of a small urban area recently transformed in the city center of Nantes, France, which has been designed to promote walkability and make it comfortable in summer. A measurement method based on mobile climate metrology, which offers high spatial resolution, was developed. Four measurements were conducted per day over five days between June and September 2023. The data was analyzed using the concept of the Day PET Signature (DPS), which reflects the dynamics of a point in space over the course of the day through variations in the Physiological Equivalent Temperature (PET) index. Four clusters of DPS were identified in the dataset, enabling the accurate assessment of the thermal diversity existing in the study area at different times of the day in summer. The results demonstrate that the observed differences between clusters are solely attributable to the radiative conditions at the distinct positions analyzed. The concept of a Radiative Portrait is introduced in order to characterize the thermal diversity of the study area. In contrast to the TMRT synthetic index, the Radiative Portrait provides a detailed breakdown of the fluxes, revealing the intensity of short- and long-wave radiation in top, bottom and lateral orientations. The combination of the Radiative Portrait and the PET class qualification provides a comprehensive understanding of the local climatescapes in summer.

Of Clams and Clades: Genetic Diversity and Connectivity of Small Giant Clams (Tridacna maxima) in the Southern Pacific Ocean.

Giant clams (Tridacna and Hippopus) are large marine bivalves occupying tropical and subtropical reefs in the Indo-Pacific. Giant clam populations have declined in many areas of the Indo-Pacific and continue to be threatened by harvesting and environmental change. The small giant clam (Tridacna maxima) occurs throughout the Indo-Pacific and has been subject to several phylogeographic studies across its range. However, given its broad range, there are several areas where the genetic diversity and connectivity of T. maxima populations has not been characterised. Here, we analyse the mitochondrial marker cytochrome oxidase 1 (CO1) to examine the genetic diversity and connectivity of T. maxima in two regions: Australia's Coral Sea Marine Park and the Cook Islands. Samples were collected from 13 reefs within the Coral Sea Marine Park and ten islands within the Cook Islands archipelago. Tridacna maxima across the sampled region of the Coral Sea did not display any population structure, whereas significant population structure was detected for T. maxima within the Cook Islands. For the Cook Islands, most pairwise comparisons involving an island in the northern group (Manihiki) were significant, as were comparisons for Palmerston (a more centrally located island) and the southern islands, Rarotonga and Mangaia. Both regions displayed high haplotype diversities (> 0.90), indicating that they are important repositories of genetic diversity. Additional CO1 data from throughout T. maxima's distribution showed that the Coral Sea clams belonged to the clade occurring in the South-Western Pacific Ocean, whilst those from the Cook Islands belonged to a unique clade found in the Central Pacific Ocean. This clade extended from Fiji in the west to French Polynesia in the east and the atolls of Palmyra and Tarawa (Kiribati) in the north. Our assessment of genetic diversity and population structure in these regions will assist with management decisions for the species.

ASSESSMENT OF ENGLISH SPEAKING AS A PEDAGOGICAL PROCESS

The main purpose of this research is to study and evaluate the assessment of English speaking skills as a basic pedagogical process of language education. The research uses a mixed method approach using qualitative and quantitative research methods. A literature review, classroom observations, and interviews with language teachers were conducted to gather insights into current assessment practices. The study showed that formative and summative assessment are important for proper assessment of students' English speaking skills. However, challenges such as subjectivity, time constraints, and environmental factors may affect the results. Assessment of English speaking skills is an important but complex pedagogical process that requires careful consideration of both methodology and criteria. The study highlights the importance of adopting diverse and flexible assessment strategies to ensure fairness and accuracy in assessment.

Fish diversity assessment through conventional morphological identification and recent advances in Saudi Arabia: A review

Fish identification in the Red Sea, particularly in Saudi Arabia, has a long history. Because of the vast fish diversity in Saudi Arabia, proper species identification is required. Indeed, identifying fish species is critical for biodiversity conservation, food and drug safety, and sustainable fishery management. Numerous approaches have been used to identify fish species, including conventional morphological identification, next-generation sequencing (NGS), nanopore sequencing, DNA barcoding, and environmental DNA analysis. In this review, we collected as much scientific information as possible on species identification in Saudi Arabia. Our findings suggest that the identification process has advanced and spread rapidly and broadly, as evidenced by the discovery of new fish species in Saudi Arabia. The advantages and disadvantages of each method were discussed as part of a comprehensive comparison. This study aimed to provide further scientific knowledge to promote the growth of fish diversity worldwide. Keywords: fish diversity, identification process, Saudi Arabia.

Ampelographic Diversity Assessment of Local Grape Genotype Grown in India

Grapevine is well adapted to the agro climatic conditions of India, which makes it one of the major element of the Indian horticulture. However, there has been limited focus on assessing grapevine germplasm, and genetic resources have previously remained underutilized despite their potential for adapting to environmental changes. This study aims to evaluate the diversity of local (developed in India) grapevine accessions growing in different regions in India. A total of 20 local varieties were evaluated using 14 fruit traits previously developed by DUS. An important variability was revealed among the local varieties studied based on fruit characteristics. The most discriminant traits were bunch weight, berry diameter, bunch length, berry weight, berry shape, seed number per berry. Hierarchical clustering analysis showed three main clusters, each regrouping accessions of different named varieties. Mean values of cluster for various yield parameters revealed that cluster I possessed maximum value for yield related attributes. Maximum bunch weight was observed in Manjari Medika (270.0g) followed by Pusa Seedless (243.1 g), Arka Shyam (213.5 g) while higher 50 berry weight (201.0 g) and berry diameter (20.30 mm) in Arka Majestic genotype. Arka Majestic and Manjari Medika showed better quality traits. Our results indicate a potential of morphological diversity within the local genotypes that should be further investigated in order to understand their performance and to evaluate them in selection programs.

Implementation of Technical Communication Pedagogy in Higher Education Institutions: A Systematic Literature Review

One of the most significant needs in technical communication is to teach students how to communicate complex technical information. This paper systematically reviews the literature to map technical communication (TC) pedagogical strategies and theoretically underpinned approaches. The overall purpose is to illuminate patterns and trends in research that describe TC pedagogy, specifically learning objectives, method of delivery, content, assessment strategies, and theoretical frameworks. Following PRISMA guidelines, the study conducted detailed content analysis on 39 publications from 2017 to 2023 based on specific inclusion criteria.. Results show increasing trends in interdisciplinary, inclusive, and technology-driven approaches and recurrent themes of student-centered objectives, technology-based delivery, and diverse assessments, with Rhetorical Theory being the dominant theoretical framework in TC pedagogy research. Based on the findings, it is recommended that future research and practice in TC pedagogy prioritize the integration of comprehensive theoretical frameworks, such as social constructivism, genre theory, and rhetorical theory, to enhance the effectiveness of teaching strategies and better prepare students for the evolving demands of the modern workforce.

Assessment of genetic diversity among Ixora genotypes through morphological and RAPD molecular marker analysis

Ixora a genus in the Rubiaceae family commonly known as jungle geranium, was the focus of the study. However, classifying Ixora species has been challenging due to environmental influences on phenotypic traits. This study explores the genetic diversity and morphological traits of 11 Ixora genotypes from various regions in India using 15 RAPD markers and morphological assessments. A total of 210 bands were generated, Unweighted Pair Group Method for Arithmetic Average (UPGMA) Cluster analysis revealed significant genetic relationships among the genotypes. Notably, Genotypes 9, 10 and 11 shared similar banding patterns with marker OPF 02, while Genotypes 4 and 7, despite differing growth habits, showed close genetic ties and shared RAPD markers OPA03 and OPE04. A unique marker (OPA03 - 340 bp) was identified exclusively in Genotype 4. Principal Component Analysis (PCA) indicated that 2 principal components explained 77.074 % of the total variance, highlighting plant height and leaf number as significant traits. Heat map clustering further illustrated phenotypic variability, grouping genotypes based on morphological similarities. This study demonstrates the utility of RAPD markers in distinguishing Ixora genotypes and provides valuable insights into morphological traits, guiding future breeding programs and genetic research.

Assessment of plankton diversity and physico-chemical characteristics for sustainable fish production in a tropical reservoir in South India

Plankton forms an important component of the aquatic ecosystem and act as indicators of fish diversity, pollution levels and environmental disturbances. They form an important natural fish food resource and play a vital role in the trophic structure of the ecosystem. In the present study a systematic assessment of the community distribution and diversity of plankton was conducted in the Karapuzha Reservoir in South India. Thirty six genera of phytoplankton belonging to 4 classes viz, Chlorophyceae, Bacillariophyceae, Dinophyceae and Myxophyceae were identified. Eleven genera of zooplankton belonging to four classes; Protozoa, Rotifera, Cladocera and Copepoda were also recorded. The Jaccard index of similarity showed that pre-monsoon and monsoon seasons shared a similar plankton composition. Diversity indices revealed the highest values during monsoon, while the Dominance index indicated the highest species dominance during post-monsoon (0.199) followed by pre-monsoon (0.1445) and monsoon (0.1417). Water quality parameters were found to have a significant correlation with plankton abundance in the reservoir. ShannonWeiner index indicated that the Karapuzha Reservoir ecosystem is moderately polluted. Seasonal variations in plankton composition showed the highest species abundance during the pre-monsoon followed by post-monsoon and monsoon seasons. Keywords: Diversity index, Plankton abundance, Planktivorous fish, Reservoir ecosystem, Seasonal variation

Herpetofauna Diversity and Habitat Use Assessment in Two Remnant Forests of Western Ecuador

Herpetofauna Diversity and Habitat Use Assessment in Two Remnant Forests of Western Ecuador

Challenges and Innovations in Teaching The Arabic Grammar to Non-Native Speakers

This study explores the challenges associated with teaching the Arabic grammar to non-native speakers and highlights educational and technological innovations aimed at improving teaching quality. The first chapter addresses the complexity of the Arabic morphological and syntactic system, the flexibility of syntactic order, and phonetic and orthographic challenges, alongside educational challenges such as curriculum design, teacher training, and assessment difficulties. The study aims to provide practical solutions to enhance the effectiveness of teaching the Arabic grammar through the development of flexible curricula, training teachers in modern methods, and adopting diverse assessment approaches. Additionally, the article discusses recent innovations in teaching the Arabic grammar, focusing on the role of technology and artificial intelligence in improving grammar instruction methods. It examines modern pedagogical approaches, such as task-based learning, communicative teaching, and the flipped classroom model, as well as integrated programs that enhance grammar learning through real-life and cultural contexts. Moreover, the role of edutainment in enhancing students' grammar learning experience and increasing engagement in an enjoyable and effective educational environment is also highlighted.

Significant implications of diversity and stability for ecosystem sustainability necessitate differentiated management strategies: A case study of the urban agglomeration around Hangzhou Bay, China

Ecosystems are crucial for providing essential services, supporting ecological conservation, and promoting sustainable development on both regional and global scales. However, robust methodologies and comprehensive frameworks for assessing ecosystem sustainability are still lacking. This study presents an integrated framework that incorporates both diversity and stability in evaluating ecosystem sustainability. Our methodology involves a multi-step process: first, we select and integrate landscape metrics to quantify ecosystem diversity; second, we establish an ecological network and apply a robustness model to assess ecosystem stability; finally, we delineate zones of ecosystem sustainability based on the combined assessments of diversity and stability. Our findings reveal that (1) from 1995 to 2020, ecosystem diversity significantly increased within the urban agglomeration around Hangzhou Bay (UAHB), with notable regional patterns, particularly in Huzhou, Jiaxing, and Ningbo. (2) The structure and connectivity of the ecological network have markedly improved, with network robustness in 2020 surpassing that of 1995, indicating enhanced ecosystem stability. (3) Five distinct ecological zones were identified—high sustainability protected areas, ecosystem stability improving areas, low sustainability fragile areas, ecosystem diversity improving areas, and moderate sustainability transition areas—each accompanied by specific management strategies. This research offers theoretical insights and practical guidance for ecological protection and restoration, advancing sustainable ecosystem development.

Assessment of genetic diversity, inbreeding and collection completeness of Jersey bulls in the US National Animal Germplasm Program

Genomic selection and extensive use of a few elite bulls through artificial insemination are leading to reduced genetic diversity in Jersey cattle. Conservation of genetic diversity through gene banks can protect a breed's genetic diversity and genetic gain, ensuring continued genetic advancement in the future. The availability of genomic information in the US National Animal Germplasm Program (NAGP) facilitates characterization of Jersey bulls in the germplasm collection. Therefore, in this study, we compared the genetic diversity and inbreeding between Jersey bulls in the NAGP and the national cooperator database (NCD). The NCD is maintained and curated by the Council on Dairy Cattle Breeding (CDCB). We found the genetic diversity to be marginally higher in NAGP (Ho = 0.34 ± 0.17) relative to the NCD population (Ho = 0.33 ± 0.16). The average pedigree and genomic inbreeding (FPED, FGRM, FROH > 2Mb) were similar between the groups, with estimates of 7.6% with FPED, 11.07% with FGRM and 20.13% with FROH > 2Mb. An increasing trend in inbreeding was detected, and a significantly higher level of inbreeding was estimated among the older bulls in the NAGP collection, suggesting an overrepresentation of the genetics from elite bulls. Results from principal component analyses (PCA) provided evidence that the NAGP collection is representative of the genetic variation found in the NCD population and a broad majority of the loci segregating (98.2%) in the NCD population were also segregating in the NAGP. Ward's clustering was used to assess collection completeness of Jerseys in the NAGP by comparison with top 1000 sires of bulls, top 1000 sires of cow, and bulls with high Lifetime Net Merit (NM$). All the clusters were represented in the NAGP suggesting that most of the genetic diversity in the US Jersey population is represented in the NAGP and confirmed the PCA results. The decade of birth was the major driver grouping bulls into clusters, suggesting the importance of selection over time. Selection signature analysis between the historic bulls in the NAGP with the newer bulls, born in the decade after implementation of genomic selection, identified selection for milk production, fat and protein yield, fertility, health, and reproductive traits. Cluster analysis revealed that the NAGP has captured allele frequency changes over time associated with selection, validating the strategy of repeated sampling and suggests that the continuation of a repeated sampling policy is essential for the germplasm collection to maintain its future utility. While NAGP should continue to collect bulls that have large influence on the population due to selection, care should be taken to include the entire breadth of bulls, including low merit bulls.

Environmental DNA reveals spatial and temporal variation in fish communities before the 10-year fishing ban in the Poyang Lake Basin

Poyang Lake is the largest freshwater lake in China, and its unique ecosystem is an important biodiversity reservoir. Fish play an important role in the aquatic ecosystem of Poyang Lake. Accurate assessment of fish species diversity and community composition is essential for studies of fish ecology and conservation management. In this study, environmental DNA metabarcoding was used to analyze fish diversity and community structure in different habitats and seasons in the Poyang Lake Basin. A total of 52 fish species were identified, and limnicolous fish were the most abundant; most fish were omnivorous and small. The fish diversity index was highest in the spring and in the main lake area of Poyang Lake. Cluster analysis and non-metric multidimensional scaling analysis revealed significant differences in fish community structure among habitats. Water temperature and pH were the main environmental factors affecting fish community structure in the Poyang Lake Basin. Non-invasive environmental DNA monitoring methods could provide an important auxiliary method for monitoring fishery resources during the 10-year fishing ban period. This study provides basic information on the fish resources in the Poyang Lake Basin and has implications for fishery management and the development of ecological protection policies.

Assessment of genetic diversity in a locally endangered tern species suggests population connection instead of isolation

AbstractMany bird populations are declining globally, with migratory sea- and waterbirds among the most threatened groups. Increased isolation between populations, due to habitat loss leading to limited connectivity and reduced gene flow, may accelerate population declines or even cause local extinctions. To address this threat and inform conservation efforts, assessment of the genetic diversity of endangered populations is required. In Central Europe, gull-billed terns (Gelochelidon nilotica) have experienced a severe population decline in the past century, with only one last population of c. 40 breeding pairs remaining. Here, we aimed to characterise the genetic diversity of this population, and to compare it to that of two separate Mediterranean colonies to assess potential population connectivity. To achieve this, we developed a PCR protocol to amplify and sequence the complete mitochondrial genome (mtDNA). We found high genetic diversity in all three populations, and no population structure based on breeding location, as well as moderate population differentiation between Germany and Italy, and low differentiation between Germany and Spain, and between Italy and Spain. The German population, however, showed signs of population restriction, while both Mediterranean colonies showed evidence for population expansion. These results indicate that the last population of gull-billed terns in Central Europe is not acutely threatened by loss of genetic diversity, but instead shows signs of connectivity with other European colonies, which in turn suggests that conservation efforts should best focus on habitat and predation management.

An assessment of the species diversity and disease potential of Pythium communities in Europe

Pythium sensu lato (s.l.) is a genus of parasitic oomycetes that poses a serious threat to agricultural production worldwide, but their severity is often neglected because little knowledge about them is available. Using an internal transcribed spacer (ITS) amplicon-based-metagenomics approach, we investigate the occurrence, abundance, and diversity of Pythium spp. s.l. in 127 corn fields of 11 European countries from the years 2019 to 2021. We also identify 73 species, with up to 20 species in a single soil sample, and the prevalent species, which show high species diversity, varying disease potential, and are widespread in most countries. Further, we show species-species co-occurrence patterns considering all detected species and link species abundance to soil parameter using the LUCAS topsoil dataset. Infection experiments with recovered isolates show that Pythium s.l. differ in disease potential, and that effective interference with plant hormone networks suppressing JA (jasmonate)-mediated defenses is an essential component of the virulence mechanism of Pythium s.l. species. This study provides a valuable dataset that enables deep insights into the structure and species diversity of Pythium s.l. communities in European corn fields and knowledge for better understanding plant-Pythium interactions, facilitating the development of an effective strategy to cope with this pathogen.

The Genetic Diversity Assessment of Broomcorn Millet (Panicum miliaceum) and the Construction of a Mini-Core Collection

The Genetic Diversity Assessment of Broomcorn Millet (Panicum miliaceum) and the Construction of a Mini-Core Collection

Association between Land Use and Urban Vitality in the Guangdong–Hong Kong–Macao Greater Bay Area: A Multiscale Study

Urban vitality, which indicates the development level of a city and the quality of life of its residents, is a complex subject in urban research due to its diverse assessment methods and intricate impact mechanisms. This study uses multisource data to evaluate the urban vitality of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) across social, economic, cultural, and environmental dimensions. It analyzes the spatial distribution characteristics of urban vitality and examines the relationships between urban vitality and land use at both regional and city scales. The results indicate that the urban vitality in the GBA generally exhibits a spatial distribution pattern of a high central density and a low peripheral spread, where built-up areas and cropland emerge as key influencing factors. Cities with different developmental backgrounds have unique relationships between land use and urban vitality. In high-vitality cities, the role of the built-up area diminishes, and natural ecosystems, such as wetlands, enhance vitality. In contrast, in low-vitality cities, built-up areas boost urban vitality, and agriculture-related land types exert a lower negative or even positive effect. This research contributes to the understanding of the spatial structures of urban vitality related to land use at different scales and offers insights for urban planners, builders, and development managers in formulating targeted urban vitality enhancement strategies at the regional collaborative and city levels.