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Predator-prey interactions have been suggested as drivers of diversity in different lineages, and the presence of anti-predator defences in some clades is linked to higher rates of diversification. Warning signals are some of the most widespread defences in the animal world, and there is evidence of higher diversification rates in aposematic lineages. The mechanisms behind such species richness, however, are still unclear. Here, we test whether lineages that use aposematism as anti-predator defence exhibit higher levels of genetic differentiation between populations, leading to increased opportunities for divergence. We collated from the literature more than 3000 pairwise genetic differentiation values across more than 700 populations from over 60 amphibian species. We find evidence that over short geographical distances, populations of species of aposematic lineages exhibit greater genetic divergence relative to species that are not aposematic. Our results support a scenario where the use of warning signals could restrict gene flow, and suggest that anti-predator defences could impact divergence between populations and potentially have effects at a macro-evolutionary scale.

Establishing the genetic and geographic structure of populations is fundamental, both to understand their evolutionary past and preserve their future. Nevertheless, the patterns of genetic population structure are unknown for most endangered species. This is the case for bonobos (Pan paniscus), which, together with chimpanzees (Pan troglodytes), are humans' closest living relatives. Chimpanzees live across equatorial Africa and are classified into four subspecies, 1 with some genetic population substructure even within subspecies. Conversely, bonobos live exclusively in the Democratic Republic of Congo and are considered a homogeneous group with low genetic diversity, 2 despite some population structure inferred from mtDNA. Nevertheless, mtDNA aside, their genetic structure remains unknown, hampering our understanding of the species and conservation efforts. Mapping bonobo genetic diversity in space is, however, challenging because, being endangered, only non-invasive sampling is possible for wild individuals. Here, we jointly analyze the exomes and mtDNA from 20 wild-born bonobos, the whole genomes of 10 captive bonobos, and the mtDNA of 136 wild individuals. We identify three genetically distinct bonobo groups of inferred Central, Western, and Far-Western geographic origin within the bonobo range. We estimate the split time between the central and western populations to be ∼145,000 years ago and genetic differentiation to be in the order of that of the closest chimpanzee subspecies. Furthermore, our estimated long-term N e for Far-West (∼3,000) is among the lowest estimated for any great ape lineage. Our results highlight the need to attend to the bonobo substructure, both in terms of research and conservation. • We discover the presence of three genetically distinct bonobo populations • The deepest estimated split time is ∼145,000 years ago • Genetic divergence among bonobo populations is thus deeper than previously thought • The smallest effective population size is only ∼3,000, suggesting strong isolation Bonobos, an endangered primate, live exclusively in the Congo basin. Their population structure is poorly understood, despite its importance for conservation. Han et al. find evidence of substructure within the species, with substantial genetic differentiation and estimated divergence times as deep as those of the closest chimpanzee subspecies. [ABSTRACT FROM AUTHOR]

Summary Pummelo (Citrus maxima) is one of the most important citrus crops and have genetically contributed sweet orange, lemon and most citrus cultivars. It has been cultivated for c. 4000 years in China and is also distributed in many Southeast Asian countries. Nevertheless, the origin and dispersal of pummelo remain elusive. We conducted whole‐genome sequencing for 290 pummelo accessions from China and Southeast Asia (SEA). Our findings indicated that pummelo was originated in Yunnan province. The divergence of the China‐SEA accessions occurred c. 2000 years ago and the divergence was likely facilitated through the Maritime Silk Road. We detected the divergence of genomic regions associated with fruit flavor and color, indicating different selection by human activities in different regions. A gene encoding lycopene cyclase 2 (LCYB2) exhibited a high degree of divergence in expression and sequence between red‐flesh and white‐flesh pummelos. A SNP in the coding region of LCYB2 resulted in a reduction in lycopene β‐cyclizing enzyme activity, leading to the accumulation of lycopene and the development of the red‐flesh trait. This study reveals the origin and evolutionary history of pummelo and provides insights into the genomic basis for the divergence of fruit flavor and color. [ABSTRACT FROM AUTHOR]

Background: Echolocation was a key development in toothed whale evolution, enabling their adaptation and diversification across various environments. Previous bioacoustic and morphological studies suggest that environmental pressures have influenced the evolution of echolocation in toothed whales. This hypothesis demands further investigation, especially regarding the molecular mechanisms involved in the adaptive radiation of toothed whales across multiple habitats. Here we show that the coding sequences of four hearing genes involved in echolocation (CDH23, prestin, TMC1, and CLDN14) have different signatures of molecular evolution among riverine, coastal, and oceanic dolphins, suggesting that the evolutionary constraints of these habitats shaped the underlying genetic diversity of the toothed whale sonar. Results: Our comparative analysis across 37 odontocete species revealed patterns of accelerated evolution within coastal and riverine lineages, supporting the hypothesis that shallow habitats pose specific selective pressures to sonar propagation, which are not found in the deep ocean. All toothed whales with genes evolving under positive selection are shallow coastal species, including three species that have recently diverged from freshwater lineages (Cephalorhynchus commersonii, Sotalia guianensis, and Orcaella heinsohni - CDH23), and three species that operate specialized Narrow Band High Frequency (NBHF) Sonars (Phocoena sinus - prestin, Neophocaena phocaenoides - TMC1 and Cephalorhynchus commersonii - CDH23). For river dolphins and deep-diving toothed whales, we found signatures of positive selection and molecular convergence affecting specific sites on CDH23, TMC1, and prestin. Positively selected sites (PSS) were different in number, identity, and substitution rates (dN/dS) across riverine, coastal, and oceanic toothed whales. Conclusion: Here we shed light on potential molecular mechanisms underlying the diversification of toothed whale echolocation. Our results suggest that toothed whale hearing genes changed under different selective pressures in coastal, riverine, and oceanic environments. [ABSTRACT FROM AUTHOR]

Here, we report a strategy enabling triple switchable chemo‐, regio‐, and stereodivergence in newly developed palladium‐catalyzed cycloadditions of allenes. An asymmetric pseudo‐stereodivergent cycloaddition of allenes bearing a primary leaving group at the α‐position, where a dynamic kinetic asymmetric hydroalkoxylation of racemic unactivated allenes was the enantio‐determining step, is realized, providing four stereoisomers [(Z,R), (Z,S), (E,S), and (E,R)] containing a di‐substituted alkene scaffold and a stereogenic center. By tuning reaction conditions, a mechanistically distinctive cycloaddition is uncovered selectively with the same set of substrates. By switching the position of the leaving group of allenes, a cycloaddition involving an intermolecular O‐attack is disclosed. Diverse mechanisms of the cycloaddition reactions of allenes enable rapid access to structurally and stereochemically diverse 3,4‐dihydro‐2H‐1,4‐benzoxazines in high efficiency and selectivity. [ABSTRACT FROM AUTHOR]

Competition for mates can play a critical role in determining reproductive success, shaping phenotypic variation within populations, and influencing divergence. Yet, studies of the role of sexual selection in divergence and speciation have focused disproportionately on mate choice. Here, we synthesize the literature on how mate competition may contribute to speciation and integrate concepts from work on sexual selection within populations—mating systems, ecology, and mate choice. Using this synthesis, we generate testable predictions for how mate competition may contribute to divergence. Then, we identify the extent of existing support for these predictions in the literature with a systematic review of the consequences of mate competition for population divergence across a range of evolutionary, ecological, and geographic contexts. We broadly evaluate current evidence, identify gaps in available data and hypotheses that need testing, and outline promising directions for future work. A major finding is that mate competition may commonly facilitate further divergence after initial divergence has occurred, e.g. upon secondary contact and between allopatric populations. Importantly, current hypotheses for how mate competition contributes to divergence do not fully explain observed patterns. While results from many studies fit predictions of negative frequency-dependent selection, agonistic character displacement, and ecological selection, results from ~30% of studies did not fit existing conceptual models. This review identifies future research aims for scenarios in which mate competition is likely important but has been understudied, including how ecological context and interactions between mate choice and mate competition can facilitate or hinder divergence and speciation. [ABSTRACT FROM AUTHOR]

Aim: To date a vicariant event through the mutualistic relationship of a hylid frog and its bromeliad host found across two isolated mountain ranges as part of an island–continental split and to use this information to calibrate a molecular dating analysis of hylids. Location: South America. Time Period: Pliocene. Major Taxa Studied: Treefrogs, Arboranae. Methods: Pliocene tectonic movements sank a portion of a mountain range that connected present‐day Trinidad (island) and northern Venezuela, eventually isolating populations of the golden tree frog Phytotriades auratus and its host bromeliad Glomeropitcairnia erectiflora on both sides of a saltwater barrier. We estimated the submersion rate timing of the vicariant event, then employed ecological niche modelling to establish the distribution of the frog and its host to the Pliocene. We generated nucleotide sequence data for the hylid on each side of the marine barrier and proposed a biogeographic calibration for the split between populations. Using Bayesian phylogenetic analysis, we evaluated the impact of incorporating this biogeographic calibration on estimates of treefrog divergence times. Results: A relatively continuous, high‐elevation mountain range existed before the Pliocene and the opening of the Gulf of Paria (4.45 ± 0.85 Ma). Phytotriades auratus and G. erectiflora would have been distributed across the Paria and Northern Range mountains as a single population since the Pliocene. Divergence times among treefrogs (Arboranae) were older than those inferred using fossil calibrations alone, with mean age estimates for subfamilies and genera being ~2 and ~1.2 million years older, respectively. Main Conclusions: Our study presents a biogeographic calibration based on a vicariant model that connects the evolution of the populations of a hylid through geology and ecological data. The implementation of this date as a molecular clock calibration reduces the uncertainty in date estimates for the shallower nodes in the phylogeny of Arboranae. [ABSTRACT FROM AUTHOR]

An important consequence of the discontinuous distribution of insect populations within their geographic range is phenotypic divergence. Detection of this divergence can be challenging when it occurs through subtle shifts in morphological traits with complex geometries, such as insect wing venation. Here, we used landmark‐based wing geometric morphometrics to investigate the population‐level phenotypic variation of the two subspecies of Glossina morsitans, G. m. centralis Machado and G. m. morsitans Westwood that occur in Zambia. Twelve homologous landmarks digitised on the right wings of 720 specimens collected from four and five sites (80 per site with 1:1 sex ratio) within the G. m. centralis and G. m. morsitans range respectively, were subjected to generalised Procrustes analysis to obtain wing centroid size (CS) and wing shape variables. Linear permutation models and redundancy analysis were then used to compare CS and wing shape between male and female G. morsitans, the two subspecies G. m. centralis and G. m. morsitans, the sexes of each subspecies and between sample locations within each subspecies range, respectively. Significant differences in CS and wing shape were observed between G. morsitans sexes, subspecies and sample locations within each subspecies range. A neighbour‐joining cladogram derived from the analysis of Procrustes distances showed that tsetse within each subspecies range were highly divergent. We conclude that G. morsitans populations in Zambia exhibit significant population‐level variation in fly size and wing shape which suggests high levels of population structuring. The main drivers of this structuring could be random genetic drift in G. m. centralis demes and local adaptation to environmental conditions in G. m. morsitans populations. We therefore recommend molecular studies to estimate the levels of gene flow between these populations and identify possible barriers to genetic flow. [ABSTRACT FROM AUTHOR]

Glacial periods have been considered as inhospitable environments that consist of treeless vegetation at higher latitudes. The fossil record suggests many species survived the Last Glacial Maximum within refugia, usually at lower latitudes. However, phylogeographic studies have given support to the existence of previously unknown high-latitude refugia that were not detected in the fossil record. Here, we test the hypothesis that cold-tolerant trees of Patagonia survived cold periods in microclimatically favourable locales where hybridization occurred between sister taxa. To study local presence through glacial periods in multiple refugia, we used pollen records and genetic information (isozymes, microsatellites, and combined nuclear and chloroplast DNA sequences) of population pairs of Nothofagus antarctica and N. pumilio that belong to the ancient subgenus Nothofagus which can potentially hybridize in nature, along their entire latitudinal range in Patagonia. Studied species share the N. dombeyi type pollen, which was abundant at >20% in the northernmost latitudinal bands (35–43°S), even during the Last Glacial Maximum. Mid- and southern latitudinal records (44–55°S) yielded lower abundances of ~10% that increased after c. 15.0 cal. ka BP. Therefore, fossil pollen evidence suggests a long-lasting local presence of Nothofagus throughout glacial–interglacial cycles but mostly as small populations between 44°S and 51°S. We found species-specific and shared genetic variants, the latter of which attained relatively high frequencies, thus providing evidence of ancestral polymorphisms. Populations of each species were similarly diverse, suggesting survival throughout the latitudinal range. Estimates of coalescent divergence times were broadly synchronous across latitudes, suggesting that regional climates similarly affected populations and species that hybridized through climate cycles, fostering local persistence. Graphical Abstract [ABSTRACT FROM AUTHOR]

The aim of the study was to examine how students generate problems about the concept of series, and how they evaluate and solve these problems. The difficulties experienced by the students while posing problems and their perceptions of the posing-evaluating-solving approach were also explored. In the first stage, 46 second-year university students posed problems for four tasks. In the second stage, which occurred a week after the first stage, the students evaluated their self-generated problems in terms of appropriateness to the tasks. The students who thought that they did not pose problems suitable for the tasks revised or reposed the problems, and then solved them by specifying the convergence or divergence of the series in the problems. The students also considered the impact of problem-posing implementation on their knowledge of the series. Findings showed that students' difficulties led to unsuitable and unsolvable problems. The most prominent difficulties were using sequences instead of series and using convergent series instead of divergent series or vice versa. Moreover, providing the students with opportunities to evaluate and solve their self-generated problems at the end of the second stage was effective for the increase in the number of suitable and solvable problems. [ABSTRACT FROM AUTHOR]

Rapid growth and a vast transition of Chinese livestock industry driven by economic incentives make it become an important contributor on climate change over the last four decades. This study first analyzes the evolving lowcarbon livestock development policies and regulations, then an assessment and explanations of the achievements and non-achievements are provided. The findings reveal that China began to pay attention to low-carbon development policy starting in the early 1990s. However, only after the cyclic and green concept became the main sustainable development policy, China began to move seriously toward low-carbon livestock development. Several policy instruments were introduced, including moderate scale, feed optimization, manure resource utilization, facility and equipment allocation rate, energy conservation and substitution. Overall, achievements were made in introducing such policies. However, due to the large share of standard agriculture and regional resources, and environmental diversity, such policies may have little effect in practice. The divergence between the policies and actual practices are explained, and important policies applicable to all developing countries are also recommended. [ABSTRACT FROM AUTHOR]

Main conclusion: A genome-wide analysis had identified 642 ABA core component genes from 20 plant species, which were further categorized into three distinct subfamilies. The gene structures and evolutionary relationships of these genes had been characterized. PP2C_1, PP2C_2, and SnRK2_1 had emerged as key players in mediating the ABA signaling transduction pathway, specifically in rice, in response to abiotic stresses. The plant hormone abscisic acid (ABA) is essential for growth, development, and stress response, relying on its core components, pyrabactin resistance, pyrabactin resistance-like, and the regulatory component of ABA receptor (PYR/PYL/RCAR), 2C protein phosphatase (PP2C), sucrose non-fermenting-1-related protein kinase 2 (SnRK2). However, there’s a lack of research on their structural evolution and functional differentiation across plants. Our study analyzed the phylogenetic, gene structure, homology, and duplication evolution of this complex in 20 plant species. We found conserved patterns in copy number and homology across subfamilies. Segmental and tandem duplications drove the evolution of these genes, while whole-genome duplication (WGD) expanded PYR/PYL/RCAR and PP2C subfamilies, enhancing environmental adaptation. In rice and Arabidopsis, the PYR/PYL/RCAR, PP2C, and SnRK2 genes showed distinct tissue-specific expression and responded to various stresses. Notably, PP2C_1 and PP2C_2 interacted with SnRK2_1 and were crucial for ABA signaling in rice. These findings offered new insights into ABA signaling evolution, interactions, and integration in green plants, benefiting future research in agriculture, evolutionary biology, ecology, and environmental science. [ABSTRACT FROM AUTHOR]

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This paper analyses the regional economic impacts of COVID-19 in Ireland. The results show regional labour market impacts were related to pre-existing economic structures rather than infection rates. Drivers of the employment shock were found to be regional specialisms in tourism focused sectors. Cushions were provided by regional specialisms in agriculture, healthcare and the knowledge intensive service sectors. For more rural regions that appeared more resilient to the labour market shock, cushions were likely provided by employment in slower growth potential sectors. During the recovery phase, these cushions can become anchors contributing to regional divergence. Consequently, some regions less severely impacted by the pandemic shock may, in fact, face more difficult structural challenges in the longer term. The pandemic has thus exacerbated pre-existing structural issues that are likely related to the observed regional economic divergence and findings of regional development traps since the recovery from the previous recessionary period of the 2010s. The broad implication is that that the regional recovery from the pandemic will not be based purely on short term COVID-19 exposure. In general terms, regional policy should look beyond the initial pandemic shocks to the key underlying development issues. A central point here is that there are no quick transformational fixes rather long-term structural imbalances need to be met. The key policy challenge, in the Irish case, is to avoid the trend from the previous economic crisis of regional divergence during the recovery phase.

Pepino mosaic virus (PepMV, species Potexvirus pepini) is a potexvirus of economic significance. The pathogen has become a serious threat to tomato (Solanum lycopersicum) worldwide. To gain more insights into the molecular epidemiology and evolution of PepMV, recombination analysis was carried out. Nine chimeric sequences were identified, including one probably involving host‐to‐virus gene flow. Based on the coat protein (CP) gene, PepMV isolates were classified into six genotypes and the phylogeography was reconstructed. Bayesian coalescent analysis applied to the dated genomic sequences suggested that PepMV started to expand in the early 17th century and evolved at a moderate rate. Ancestral state reconstruction supported the South American origin of PepMV. Codon usage bias analysis showed that PepMV genes had influences in addition to compositional constraints. In codon usage, PepMV is fairly similar to S. lycopersicum. Moreover, PepMV recapitulates the host's remarkable suppression of CpG and UpA dinucleotides. [ABSTRACT FROM AUTHOR]

Abstract In this study, the complete plastome sequence of Nigella sativa (black seed), was analyzed for the first time. The plastome spans approximately 154,120 bp, comprising four sections: the Large Single-Copy (LSC) (85,538 bp), the Small Single-Copy (SSC) (17,984 bp), and two Inverted Repeat (IR) regions (25,299 bp). A comparative study of N. sativa’s plastome with ten other species from various genera in the Ranunculaceae family reveals substantial structural variations. The contraction of the inverted repeat region in N. sativa influences the boundaries of single-copy regions, resulting in a shorter plastome size than other species. When comparing the plastome of N. sativa with those of its related species, significant divergence is observed, particularly except for N. damascena. Among these, the plastome of A. glaucifolium displays the highest average pairwise sequence divergence (0.2851) with N. sativa, followed by A. raddeana (0.2290) and A. coerulea (0.1222). Furthermore, the study identified 12 distinct hotspot regions characterized by elevated Pi values (> 0.1). These regions include trnH-GUG-psbA, matK-trnQ-UUG, psbK-trnR-UCU, atpF-atpI, rpoB-psbD, ycf3-ndhJ, ndhC-cemA, petA-psaJ, trnN-GUU-ndhF, trnV-GAC-rps12, ycf2-trnI-CAU, and ndhA-ycf1. Approximately, 24 tandem and 48 palindromic and forward repeats were detected in N. sativa plastome. The analysis revealed 32 microsatellites with the majority being mononucleotide repeats. In the N. sativa plastome, phenylalanine had the highest number of codons (1982 codons), while alanine was the least common amino acid with 260 codons. A phylogenetic tree, constructed using protein-coding genes, revealed a distinct monophyletic clade comprising N. sativa and N. damascene, closely aligned with the Cimicifugeae tribe and exhibiting robust support. This plastome provides valuable genetic information for precise species identification, phylogenetic resolution, and evolutionary studies of N. sativa.

Abstract Background Lettuce (Lactuca sativa L.) is an economically important vegetable crop worldwide. Lettuce is believed to be domesticated from a single wild ancestor Lactuca serriola and subsequently diverged into two major morphologically distinct vegetable types: leafy lettuce and stem lettuce. However, the role of epigenetic variation in lettuce domestication and divergence remains largely unknown. Results To understand the genetic and epigenetic basis underlying lettuce domestication and divergence, we generate single-base resolution DNA methylomes from 52 Lactuca accessions, including major lettuce cultivars and wild relatives. We find a significant increase of DNA methylation during lettuce domestication and uncover abundant epigenetic variations associated with lettuce domestication and divergence. Interestingly, DNA methylation variations specifically associated with leafy and stem lettuce are related to regulation and metabolic processes, respectively, while those associated with both types are enriched in stress responses. Moreover, we reveal that domestication-induced DNA methylation changes could influence expression levels of nearby and distal genes possibly through affecting chromatin accessibility and chromatin loop. Conclusion Our study provides population epigenomic insights into crop domestication and divergence and valuable resources for further domestication for diversity and epigenetic breeding to boost crop improvement.

In some situations, square contingency tables with ordered categories are analyzed by considering collapsed tables where adjacent categories are combined. This study proposes measures to represent the degree of departure from symmetry using collapsed tables. The proposed measures are defined as the arithmetic mean of submeasures of each collapsed 3 × 3 table. Additionally, a theorem affirms that the value of the measure for symmetry is equal to the sum of the value of the proposed measures. Finally, examples are given. [ABSTRACT FROM AUTHOR]

This paper presents a first implementation of gradient, divergence, and particle tracing schemes for the EMC3 code, a stochastic 3D plasma fluid code widely employed for edge plasma and impurity transport modeling in tokamaks and stellarators. These schemes are essential to accommodate plasma drift computations, which are currently absent in the code. Plasma drifts have been recognized to significantly influence transport of particles and energy, and their inclusion in future code upgrades will substantially enhance the code's predictive capabilities. For gradient and divergence calculations, we introduce a second‐order least‐squares gradient scheme. We confirm the second‐order convergence properties and assess the accuracy of several analytical test cases in the presence of synthetic noise. In the second part of this paper, we employ the validated gradient scheme in a fourth‐order Runge–Kutta particle tracing scheme to trace a particle through a generic drift velocity field. The impact of synthetic noise on the scheme's performance is investigated by evaluating various error metrics. We find that the implemented schemes function as intended and exhibit sufficient accuracy to enable drift computations. [ABSTRACT FROM AUTHOR]

Parents have an essential role in shaping children's emotional responses, a process called emotional socialization. Typically, researchers measure parental socialization behaviors via self‐report and in‐laboratory observations. However, the extent to which there is convergence between parents' reported and enacted socialization practices is an open question. The aims of the current study were (1) to quantify the convergence/divergence in parents' reported and enacted emotional socialization practices and (2) to analyze how convergence/divergence in specific parent socialization practices relates to children's emotional responding across different contexts (alone and with a parent). Participants were a diverse sample of 181 parent‐child dyads (children ages 3–11). We analyzed emotion socialization strategies (problem‐focused reactions, emotion‐focused reactions, expressive encouragement, punishing reactions, minimizing reactions, and distress reactions) as they related to children's behavioral and physiological responding to an emotional challenge. We found an overall pattern of divergence for most socialization strategies, but convergence for problem‐focused reactions. For children's observed distress, a convergent pattern of reported and enacted minimizing specifically was related to more distress while alone. For children's physiological reactivity, enacted problem‐solving was related to greater parasympathetic decreases across social context (from being alone to being with parent). Taken together, our findings suggest that convergence and divergence in parental emotional socialization practices may capture unique variability in how parents contextually respond to children's feelings, and children's emotional responding. [ABSTRACT FROM AUTHOR]

In this work, optimization strategies employing a standard heuristic free-derivative algorithm combined with a first-order gradient approach are used to maximize the flutter or divergence airspeed, using the fibre material orientations as design variables. The aeroelastic stability analysis calculations are performed by a classical PK method. The finite element method is used to obtain the structural modes and frequencies and the unsteady aerodynamic influence coefficient matrices are obtained with a doublet-lattice model. Numerical studies are performed with a complex 3D model that includes curved surfaces and internal elements such as spars and ribs. The main goal of the article is to use the heuristic part with a small number of parameters, to reduce the design space and provide an efficient initial guess for the gradient search, so that the optimization complexity is substantially reduced. Results for constant and variable stiffness composite wings are presented for laminates with different numbers of plies. It is shown by several examples that the pres. [ABSTRACT FROM AUTHOR]

The concern of this paper is to provide a number of 'seeds' for a reclaiming of art in education by placing emphasis upon art's pedagogy or art's education. The notion of reclaiming does not infer a return to a utopian past or to a halcyon future, but it invokes a reaffirmation of the adventure of events of art practice that can take us beyond ourselves towards new creative assemblages and possibilities for becoming‐with. Such reclaiming requires a culture of trust, care and response‐ability. In relation to art's pedagogy the paper calls for opening up what is formally recognised as 'practice' in art education to a sensing towards what might be obscured by such recognition and in doing so reshape our ideas and modes of practice. [ABSTRACT FROM AUTHOR]

Interdisciplinarity is a polysemous concept with multiple, reasoned and intuitive, interpretations across scholars and policy-makers. Historically, quantifying the interdisciplinarity of research has been challenging due to the variety of methods used to identify metadata, taxonomies, and mathematical formulas. This has resulted in considerable uncertainty about the ability of quantitative models to provide clear insights for policy-making. This study proposes a systemic design, grounded in an advanced literature review, to demonstrate that the quantification of the interdisciplinarity of research can be treated as a process of decision-making in mathematical modelling, where alternatives choices are evaluated based on how closely their mathematical properties align with the theoretical objectives of the research design. The study addresses modeling choices regarding the stylisation of metadata into units of observation, and the operational definition of the conceptual dimensions of interdisciplinarity, presenting both established and novel methods and formulas. The final section discusses advanced topics in modelling the measurement, including a dedicated discussion on the difference in analysing the status of papers versus collective bodies of research; and distinguishing between reflective, formative, and inferential causal models of interdisciplinary research. [ABSTRACT FROM AUTHOR]

This paper investigates the production of numerically-quantified phrases (NQPs) by monolingual and bilingual speakers of Russian, with Hebrew as the dominant language for the latter group. Russian NQPs exhibit a complex system of noun forms, distinguishing between singular (odin gorod 'one city'), paucal (dva goroda 'two cities'), and plural (pjat' gorodov 'five cities'); the endings of paucal and plural nouns vary depending on nominal declension class, which in turn correlates with gender. Adult and child bilinguals dominant in Hebrew (n = 37 and n = 27, respectively) were compared to monolingual Russian-speaking controls (n = 21 and n = 20, respectively). Production data were collected using a numeral-noun elicitation task, which involved eliciting 24 numerical phrases manipulated for gender (masculine, feminine) and number (paucal, plural). Compared to the monolingual controls, the bilinguals showed lower accuracy, with oversuppliance of nominative plural endings and overtly marked genitive plural endings. These non-target responses indicate the reliance on default forms and phonetically salient inflections, confirming that these factors influence non-target attainment in bilingual (heritage) grammars. The amount of exposure to Russian (as measured by age of bilingualism onset and proficiency) influenced performance significantly, underscoring the role of input in shaping bilingual grammars. The production of NQPs by Hebrew-dominant Russian speakers was similar to that by English-dominant Russian speakers as reported in previous studies, which may appear surprising given that Hebrew is characterized by richer morphology than English, and that may play a role in the maintenance of morphology in the weaker language. We offer some considerations for this lack of effect. [ABSTRACT FROM AUTHOR]

Convective dynamics in a supercell thunderstorm, a volcanic eruption, and two pyrocumulonimbus (pyroCb) events are compared by computing cloud‐top divergence (CTD) with an optical flow technique called Deepflow. Visible 0.64‐μm imagery sequences from Geostationary Operational Environmental Satellites (GOES)‐R series Advanced Baseline Imager (ABI) are used as input into the optical flow algorithm. CTD is computed after post‐processing of the retrieved motions. Analysis is performed on specific image times, as well as the full time series of each case. Multiple CTD‐based parameters, such as the maximum and the two‐dimensional area exceeding a specified CTD threshold, are examined along with the optical flow‐retrieved wind speed. CTD is shown to accurately and quantitatively represent the behavior and magnitude of different deep convective phenomena, including distinguishing between convective pulses within each individual event. CTD captures updraft intensification as well as differences in convective activity between two pyroCb events and individual updraft pulses occurring within a single pyroCb event. Finally, the characteristics of high‐altitude smoke plumes injected by two separate pyroCb pulses are linked to CTD using ultraviolet aerosol index and satellite imagery. Optical flow‐derived parameters can therefore be applied to individual pyroCbs in real‐time, with potential to characterize pyroCb smoke source inputs for downstream smoke modeling applications and to facilitate future tools supporting air quality modeling and firefighting efforts. Plain Language Summary: Under certain weather conditions, wildfires can generate pyrocumulonimbus, which are deep, convective storms that inject smoke particles high into the atmosphere, resulting in significant aviation and climate impacts. This research tracks cloud‐top motion using computer vision algorithms and satellite data to compare the dynamics of pyrocumulonimbus with a volcanic eruption and supercell thunderstorm, which represent similar deep convective phenomena. The primary goal is to quantify updraft magnitude, duration, and evolution from space. Results show that cloud‐top motion accurately captures variations in updraft magnitude over time and distinguishes between different types of updrafts. Cloud‐top motion is likely more effective than traditional techniques at distinguishing individual, high‐altitude smoke injections from pyrocumulonimbus activity over specific fires. This research lays a foundation for improved smoke source inputs for downstream smoke modeling applications. Key Points: General dynamical characteristics for pyrocumulonimbus (pyroCb), volcano, and supercell cases are compared using satellite‐retrieved cloud‐top divergenceCloud‐top divergence time series analysis distinguishes individual convective pulses of pyroCb and volcano casesCloud‐top divergence is potentially related to the magnitude of pyroCb smoke plume injection height and mass [ABSTRACT FROM AUTHOR]

Aspergillus fumigatus is a deadly fungal pathogen, responsible for >400,000 infections/year and high mortality rates. A. fumigatus strains exhibit variation in infection-relevant traits, including in their virulence. However, most A. fumigatus protein-coding genes, including those that modulate its virulence, are shared between A. fumigatus strains and closely related nonpathogenic relatives. We hypothesized that A. fumigatus genes exhibit substantial genetic variation in the noncoding regions immediately upstream to the start codons of genes, which could reflect differences in gene regulation between strains. To begin testing this hypothesis, we identified 5,812 single-copy orthologs across the genomes of 263 A. fumigatus strains. In general, A. fumigatus noncoding regions showed higher levels of sequence variation compared with their corresponding protein-coding regions. Focusing on 2,482 genes whose protein-coding sequence identity scores ranged between 75 and 99%, we identified 478 total genes with signatures of positive selection only in their noncoding regions and 65 total genes with signatures only in their protein-coding regions. Twenty-eight of the 478 noncoding regions and 5 of the 65 protein-coding regions under selection are associated with genes known to modulate A. fumigatus virulence. Noncoding region variation between A. fumigatus strains included single-nucleotide polymorphisms and insertions or deletions of at least a few nucleotides. These results show that noncoding regions of A. fumigatus genes harbor greater sequence variation than protein-coding regions, raising the hypothesis that this variation may contribute to A. fumigatus phenotypic heterogeneity. [ABSTRACT FROM AUTHOR]

The Brillouin sphere is defined as the smallest sphere, centered at the origin of the geocentric coordinate system, that incorporates all the condensed matter composing the planet. The Brillouin sphere touches the Earth at a single point, and the radial line that begins at the origin and passes through that point is called the singular radial line. For about 60 years there has been a persistent anxiety about whether or not a spherical harmonic (SH) expansion of the external gravitational potential, V, will converge beneath the Brillouin sphere. Recently, it was proven that the probability of such convergence is zero. One of these proofs provided an asymptotic relation, called Costin's formula, for the upper bound, EN, on the absolute value of the prediction error, eN, of a SH series model, V N (θ , λ , r) , truncated at some maximum degree, N = n max . When the SH series is restricted to (or projected onto) a particular radial line, it reduces to a Taylor series (TS) in 1 / r . Costin's formula is E N ≃ B N − b (R / r) N , where R is the radius of the Brillouin sphere. This formula depends on two positive parameters: b, which controls the decay of error amplitude as a function of N when r is fixed, and a scale factor B. We show here that Costin's formula derives from a similar asymptotic relation for the upper bound, An on the absolute value of the TS coefficients, an, for the same radial line. This formula, A n ≃ K n − k , depends on degree, n, and two positive parameters, k and K, that are analogous to b and B. We use synthetic planets, for which we can compute the potential, V, and also the radial component of gravitational acceleration, g r = ∂ V / ∂ r , to hundreds of significant digits, to validate both of these asymptotic formulas. Let superscript V refer to asymptotic parameters associated with the coefficients and prediction errors for gravitational potential, and superscript g to the coefficients and predictions errors associated with gr. For polyhedral planets of uniform density we show that b V = k V = 7 / 2 and b g = k g = 5 / 2 almost everywhere. We show that the frequency of oscillation (around zero) of the TS coefficients and the series prediction errors, for a given radial line, is controlled by the geocentric angle, α, between that radial line and the singular radial line. We also derive useful identities connecting K V , B V , K g , and Bg. These identities are expressed in terms of quotients of the various scale factors. The only other quantities involved in these identities are α and R. The phenomenology of 'series divergence' and prediction error (when r < R) can be described as a function of the truncation degree, N, or the depth, d, beneath the Brillouin sphere. For a fixed r ⩽ R , as N increases from very low values, the upper error bound EN shrinks until it reaches its minimum (best) value when N reaches some particular or optimum value, N opt . When N > N opt , prediction error grows as N continues to increase. Eventually, when N ≫ N opt , prediction errors increase exponentially with rising N. If we fix the value of N and allow R / r to vary, then we find that prediction error in free space beneath the Brillouin sphere increases exponentially with depth, d, beneath the Brillouin sphere. Because b g = b V − 1 everywhere, divergence driven prediction error intensifies more rapidly for gr than for V, both in terms of its dependence on N and d. If we fix both N and d, and focus on the 'lateral' variations in prediction error, we observe that divergence and prediction error tend to increase (as does B) as we approach high-amplitude topography. [ABSTRACT FROM AUTHOR]

The investigation entitled "Characters Study of Selection Criteria and Genetic Variability in Forage Sorghum (Sorghum bicolor L. Moench) Genotype for Green Fodder Yield and Its Contributed Traits" were conducted at Crop Research Center, Modipuram, SVPUA and T, Meerut 250110 (UP) during kharif season 2019-20. Genetic variability studies were carried out for 33 sorghum genotypes during the years 2019-20. The analysis of variance revealed that there was significant amount of variation for all the ten characters. Days to 50% flowering, plant height, leaf length, leaf breadth, leaf area, stem girth, leaves per plant, leaf stem ratio, total soluble solids and green fodder yield per plant was shown to have been recognized as having high heritability value. High estimate of (phenotypic coefficient of variance and genotypic coefficient of variance) PCV and GCV were observed for plant height, leaf area and green fodder yield per plant. The genetic divergence by Tocher's method for seed yield and it's component traits in sorghum genotypes. On the basis of genetic divergence under study, it is suggested that the crosses between cluster IV and cluster III, cluster II and cluster V be used for an effective in hybridization breeding program. The percent contribution of ten characters towards total genetic divergence showed that green fodder yield per plant maximum contribution to divergence followed by leaf area, leaves per plant, plant height and leaf breadth and lower contribution was made by leaf length towards the divergence. [ABSTRACT FROM AUTHOR]

Societal biases encoded in real-world data can contaminate algorithmic decisions, perpetuating preexisting inequalities in domains such as employment and education. In the fair ranking literature, following the doctrine of affirmative action, fairness is enforced by means of a group-fairness constraint requiring "enough" individuals from protected groups in the top-k positions, for a ranking to be considered valid. However, which are the groups that need to be protected? And how much representation is "enough"? As the biases affecting the process may not always be directly observable nor measurable, these questions might be hard to answer in a principled way, especially when many different potentially discriminated subgroups exist. This paper addresses this issue by automatically identifying the disadvantaged groups in the data and mitigating their disparate representation in the final ranking. Our proposal leverages the notion of divergence to automatically identify which subgroups, defined as combination of sensitive attributes, show a statistically significant deviation, in terms of ranking utility, compared to the overall population. Subgroups with negative divergence experience a disadvantage. We formulate the problem of re-ranking instances to maximize the minimum subgroup divergence, while maintaining the new ranking as close as possible to the original one. We develop a method which is based on identifying the divergent subgroups and applying a re-ranking procedure which is monotonic w.r.t. the goal of maximizing the minimum divergence. Our experimental results show that our method effectively eliminates the existence of disadvantaged subgroups while producing rankings which are very close to the original ones. [ABSTRACT FROM AUTHOR]

Measurements of a single flow velocity component are still prevalent due to their reasonable costs and some difficulties in multiple-component measurements. If the transverse component can be obtained additionally by a numerical technique, qualitative features of the flow will be understood more effectively. In this context, methods based on the 2-dimensonal divergence-free assumption have been widely used for problems in which a single velocity component is measured over a planar domain. In this study, the authors proposed a method of approximating the second planar velocity component by minimising an objective function expressed with divergence and vorticity so that the mass transport in the out-of-plane direction could be taken into consideration. The present method was tested with numerically produced 3-dimensional flows in a hexahedral chamber and a flow around a bluff body measured by particle image velocimetry. There was a tendency that the present method calculated the second velocity component with smaller errors than existing divergence-free approaches. It was also shown that the present method had a high capability to locate strong suction and generation caused by the mass transport in the out-of-plane direction. The present method is deemed promising for many one-component flow measurements in engineering and medicine. [ABSTRACT FROM AUTHOR]

Nordic countries are similar when it comes to migratory trends. However, when the 'multicultural question' erupted in the 1970s, they opted for different policies. In the early 2000s, some scholars analysed a retreat from multiculturalism policies and a civic integrationist turn. Yet, our knowledge of the processes of convergence or divergence per se of these policies is still limited. Using the comparative method, this article shows that, during that period of time, the five Nordic countries were divided into two camps, with little mixing in terms of policy content: multiculturalist (Sweden and Norway) and assimilationist (Denmark and Iceland). Finland shifted its policy from assimilation to multiculturalism in the 1990s, when it became a country of immigration. It adopted the same range of multicultural policies as Sweden and Norway; Sweden was the leader on this and Denmark was the least multiculturalist. Negative feedback was the most recurrent mechanism of policy reproduction. [ABSTRACT FROM AUTHOR]

The impact of changes in global temperatures and precipitation on climate distribution remains unclear. Taking the annual global average temperatures and precipitation as the origin, this study determined the climate distribution with the distances of temperature and precipitation from their global averages as the X and Y axes. The results showed that during 1980–2019, the global temperature distribution converged toward the mean (convergence), while the precipitation distribution moved away from the mean (divergence). The combined effects of both led to a convergence in the global climate distribution. During 2025–2100, significant climate convergence is observed under two emission scenarios (SSP245 and SSP585). However, the climate convergence and the area of change in climate type remains insignificant only under SSP126, suggesting that the diversity of the global climate pattern can be maintained under a sustainable emission pathway (SSP126), whereas high emission pathways will lead to greater uniformity in global climate. Plain Language Summary: Global average temperatures and precipitation have increased significantly over recent decades. However, the distribution of affected areas remains unclear in comparison to the global mean. Taking annual temperature and precipitation averages as a reference point, this study measured temperature and precipitation anomalies from the global mean on the X and Y axes. The Euclidean distance of each grid cell represents its deviation (anomaly) from the global climate mean. These distances are termed the degree of deviation of temperature, precipitation, and climate from the global mean for each raster. The results reveal a discernible homogenization trend regarding the distribution of global climate. Among three distinct climate scenarios, climate diversity is effectively preserved under the low‐emission model (SSP126), whereas global climate distribution exhibits a substantial convergence toward the annual mean under the high‐emission models (SSP245 and SSP585). Key Points: Against the backdrop of global warming, the climate pattern is shifting toward convergenceTemperature is the primary driver behind climate convergence, while precipitation plays a central role in climate diversityLow‐level emissions are conducive to preserving the diversity of future global climate distribution [ABSTRACT FROM AUTHOR]

Low-level viremia (LLV) ranging from 50 to 1,000 copies/ml is common in most HIV-1-infected patients receiving antiretroviral therapy (ART). However, the source of LLV and the impact of LLV on the HIV-1 reservoir during ART remain uncertain. We hypothesized that LLV may arise from the HIV reservoir and its occurrence affect the composition of the reservoir after LLV episodes. Accordingly, we investigated the genetic linkage of sequences obtained from plasma at LLV and pre-ART time points and from peripheral blood mononuclear cells (PBMCs) at pre-ART, pre-LLV, LLV, and post-LLV time points. We found that LLV sequences were populated with a predominant viral quasispecies that accounted for 67.29%-100% of all sequences. Two episodes of LLV in subject 1, spaced 6 months apart, appeared to have originated from the stochastic reactivation of latently HIV-1-infected cells. Moreover, 3.77% of pre-ART plasma sequences were identical to 67.29% of LLV-3 plasma sequences in subject 1, suggesting that LLV may have arisen from a subset of cells that were infected before ART was initiated. No direct evidence of sequence linkage was found between LLV viruses and circulating cellular reservoirs in all subjects. The reservoir size, diversity, and divergence of the PBMC DNA did not differ significantly between the pre- and post-LLV sampling points (P > 0.05), but the composition of viral reservoir quasispecies shifted markedly before and after LLV episodes. Indeed, subjects with LLV had a higher total PBMC DNA level, greater viral diversity, a lower proportion of variants with identical sequences detected at two or more time points, and a shorter variant duration during ART compared with subjects without LLV. Overall, our findings suggested that LLV viruses may stem from an unidentified source other than circulating cellular reservoirs. LLV episodes may introduce great complexity into the HIV reservoir, which brings challenges to the development of treatment strategies. [ABSTRACT FROM AUTHOR]

The problem of infinities in quantum field theory (QFT) is a longstanding problem in particle physics. To solve this problem, different renormalization techniques have been suggested but the problem persists. Here we suggest another approach to the elimination of infinities in QFT, which is based on non-Diophantine arithmetics – a novel mathematical area that already found useful applications in physics, psychology, and other areas. To achieve this goal, new non-Diophantine arithmetics are constructed and their properties are studied. In addition, non-Diophantine integration is developed in these arithmetics. These constructions allow using constructed non-Diophantine arithmetics for computing integrals associated with Feynman diagrams. Although in the conventional QFT such integrals diverge, their non-Diophantine counterparts are convergent and rigorously defined. As the result, QFT becomes consistent with quantum experiments. [ABSTRACT FROM AUTHOR]

Throughout the globe morphological, biochemical and genetic variability exists in chilli and is harnessed to achieve specific breeding objectives. In this study, chilli germplasm was characterized based on horticultural traits, biochemical quantification and simple sequence repeat (SSR) polymorphism for diversity estimation. A total of 36 SSR primers were utilised to study the genetic divergence among 48 genotypes of chilli collected from nine states of India. Among the 36 primers, sixteen amplified null alleles. A total of 41 alleles were detected with average 2.05 alleles per locus. The largest number of alleles (5) were obtained with marker CAMS-234. The polymorphic information content ranged from 0.06 to 0.72 with an average of 0.50. On the basis of SSR analysis, the UPGMA cluster classified 48 genotypes into three groups. There was significant variability in germplasm for all morpho-biochemical traits. Kashi Anmol (100.50 q/ha) expressed the highest yield. Highest vitamin C content at green stage was recorded in IC-561635 (187 mg/100 g) and the greatest capsaicin content (9547.90 µg/g) equivalent to pungency of 171,862.2 Scoville heat units (SHU) was recorded in Bhut Jolokia. Principal component analysis indicates that the first five principal components explain 74.63% per cent of the total variation. Additionally, analysis of molecular variance (AMOVA) showed that 1% of the total genetic variation occurred among the population and 99% genetic variation within the populations, whereas the pairwise Fst specified the moderate genetic variation ranging from 0.002 to 0.020. The present investigation has strengthened the knowledge of genetic worth of this germplasm for application in various genetic improvement programmes. [ABSTRACT FROM AUTHOR]

Trustworthy federated learning typically leverages protection mechanisms to guarantee privacy. However, protection mechanisms inevitably introduce utility loss or efficiency reduction while protecting data privacy. Therefore, protection mechanisms and their parameters should be carefully chosen to strike an optimal tradeoff among privacy leakage, utility loss, and efficiency reduction. To this end, federated learning practitioners need tools to measure the three factors and optimize the tradeoff between them to choose the protection mechanism that is most appropriate to the application at hand. Motivated by this requirement, we propose a framework that (1) formulates trustworthy federated learning as a problem of finding a protection mechanism to optimize the tradeoff among privacy leakage, utility loss, and efficiency reduction and (2) formally defines bounded measurements of the three factors. We then propose a meta-learning algorithm to approximate this optimization problem and find optimal protection parameters for representative protection mechanisms, including randomization, homomorphic encryption, secret sharing, and compression. We further design estimation algorithms to quantify these found optimal protection parameters in a practical horizontal federated learning setting and provide a theoretical analysis of the estimation error. [ABSTRACT FROM AUTHOR]

In federated learning, benign participants aim to optimize a global model collaboratively. However, the risk of privacy leakage cannot be ignored in the presence of semi-honest adversaries. Existing research has focused either on designing protection mechanisms or on inventing attacking mechanisms. While the battle between defenders and attackers seems never-ending, we are concerned with one critical question: Is it possible to prevent potential attacks in advance? To address this, we propose the first game-theoretic framework that considers both FL defenders and attackers in terms of their respective payoffs, which include computational costs, FL model utilities, and privacy leakage risks. We name this game the federated learning privacy game (FLPG), in which neither defenders nor attackers are aware of all participants' payoffs. To handle the incomplete information inherent in this situation, we propose associating the FLPG with an oracle that has two primary responsibilities. First, the oracle provides lower and upper bounds of the payoffs for the players. Second, the oracle acts as a correlation device, privately providing suggested actions to each player. With this novel framework, we analyze the optimal strategies of defenders and attackers. Furthermore, we derive and demonstrate conditions under which the attacker, as a rational decision-maker, should always follow the oracle's suggestion not to attack. [ABSTRACT FROM AUTHOR]

Main conclusion: The investigation is the first report on genome-wide identification and characterization of NBLRR genes in pearl millet. We have shown the role of gene loss and purifying selection in the divergence of NBLRRs in Poaceae lineage and candidate CaNBLRR genes for resistance to Magnaporthe grisea infection. Plants have evolved multiple integral mechanisms to counteract the pathogens' infection, among which plant immunity through NBLRR (nucleotide-binding site, leucine-rich repeat) genes is at the forefront. The genome-wide mining in pearl millet (Cenchrus americanus (L.) Morrone) revealed 146 CaNBLRRs. The variation in the branch length of NBLRRs showed the dynamic nature of NBLRRs in response to evolving pathogen races. The orthology of NBLRRs showed a predominance of many-to-one orthologs, indicating the divergence of NBLRRs in the pearl millet lineage mainly through gene loss events followed by gene gain through single-copy duplications. Further, the purifying selection (Ka/Ks < 1) shaped the expansion of NBLRRs within the lineage of pear millet and other members of Poaceae. Presence of cis-acting elements, viz. TCA element, G-box, MYB, SARE, ABRE and conserved motifs annotated with P-loop, kinase 2, RNBS-A, RNBS-D, GLPL, MHD, Rx-CC and LRR suggests their putative role in disease resistance and stress regulation. The qRT-PCR analysis in pearl millet lines showing contrasting responses to Magnaporthe grisea infection identified CaNBLRR20, CaNBLRR33, CaNBLRR46 CaNBLRR51, CaNBLRR78 and CaNBLRR146 as putative candidates. Molecular docking showed the involvement of three and two amino acid residues of LRR domains forming hydrogen bonds (histidine, arginine and threonine) and salt bridges (arginine and lysine) with effectors. Whereas 14 and 20 amino acid residues of CaNBLRR78 and CaNBLRR20 showed hydrophobic interactions with 11 and 9 amino acid residues of effectors, Mg.00g064570.m01 and Mg.00g006570.m01, respectively. The present investigation gives a comprehensive overview of CaNBLRRs and paves the foundation for their utility in pearl millet resistance breeding through understanding of host–pathogen interactions. [ABSTRACT FROM AUTHOR]

This research aims to investigate the static aeroelastic characteristics of a slender straight 2D wing using aerodynamic strip theory. The finite element method is employed to determine the wing's divergence speed and aileron effectiveness, while Galerkin's method, based on the principle of virtual work is used to obtain the influence coefficient of the straight wing. The application of aerodynamic strip theory and finite span correction is utilized to establish a correlation between elastic twist and lift coefficient. Subsequently, a computational tool in MATLAB is formulated to derive an approximate solution for the static aeroelastic equilibrium equations concerning slender straight wings. An investigation is conducted into the impact of various elastic axis positions on the divergence speed and its implications for structural integrity are analyzed. It was observed in the study that the incorporation of finite span correction into the strip theory led to a 15% augmentation in the divergence speed of the slender wing. Validation of the mathematical model of the slender wing is performed through computational analyses conducted using ANSYS software. The flutter analysis examines parameters such as the distance between the elastic and aerodynamic axes, the sweep position, and the wing span. A MATLAB code is presented in the research article to explore the influence of these parameters on the flutter speed of a slender wing. Through an investigation of the interplay between these parameters and the flutter speed, the study strives to enhance comprehension of the fundamental mechanisms governing flutter occurrence in slender wings. The current research reveals that the flutter speed is notably affected by both the eccentricity and span of the wing. Specifically, a reduction in eccentricity leads to a 1.5% enhancement in flutter speed, while increasing the sweep angle from 15 to 30 degrees for a wing with a 15ft span results in a 2.54% increase in flutter speed. Moreover, wings spanning from 5ft to 15ft exhibit a 5% rise in flutter speed. These findings offer valuable insights for the design of more efficient and stable wings. [ABSTRACT FROM AUTHOR]

The author discovered S.L. Sobolev's spaces in the classes of potential and vortex fields introduced by H. Weyl. Let's call them Sobolev–Weyl spaces. The gradient from the divergence, the rotor and their powers are used in defining these spaces. The direct sums of these spaces form a two-parametric family (network) of Sobolev–Weyl spaces. In these spaces. we investigated boundary value problems for the gradient-of-divergence operator, rotor (curl) and their degrees with a parameter as well as the boundary value problem C for the Stokes operator. In the case when the parameter does not belong to the spectra of these operators, there are theorems for the existence and uniqueness of solutions to these problems. Otherwise, the problems are solvable according to Fredholm. Exacts a priori estimates have been obtained. [ABSTRACT FROM AUTHOR]

The primary aim of this work is to prognosticate and evaluate the trajectory pertaining to the realization of the 17 Sustainable Development Goals (SDGs) contingent upon the income levels prevalent within a diverse cohort of 349 countries. Employing Holt's forecast method, we classified SDGs in three bundles, namely higher needs, basic needs, and governance. Our analysis concludes that nations endowed with greater income levels exhibit a discernible amelioration in their SDGs indices, while countries with low and lower middle‐income strata manifest an alarming worsening of their trends. These empirical findings bear significant implications for policymakers ensconced within nations committed to the achievement of these goals, supranational institutions, non‐governmental organizations (NGOs), and scholars. The widening developmental gap urges for greater institutional attention from the international community before the situation further deteriorates. Tailored policies and strategic initiatives might effectively address the idiosyncratic challenges faced by these nations. Concurrently, fostering international cooperation and collaborative endeavors stand as potent prerequisites, substantively bolstering the concerted pursuit of sustainable development goals and enduring sustainability for the entirety of humanity. [ABSTRACT FROM AUTHOR]

The paper elaborates on methods of digital image compression. The focus is on the compression method that represents a raster image as a set of multiply thinned sub-images. Sub-images are processed consecutively to generate special reference images. The difference between the synthesized reference image and original sub-image forms a divergence array. The algorithm introduces a discrete error into the divergence array to provide the actual bit-depth reduction. However, the introduction of the error inevitably impairs the quality of the decompressed image. The aim is to make sure that the parametric smoothing of divergence arrays can lessen this quality impairment without changing the bit depth reduction originally provided by the method. Numerical experiments on real digital images are carried out to prove that the use of parametric smoothing improves noticeably the efficiency of the image compression method under discussion. [ABSTRACT FROM AUTHOR]

Abstract An important consequence of the discontinuous distribution of insect populations within their geographic range is phenotypic divergence. Detection of this divergence can be challenging when it occurs through subtle shifts in morphological traits with complex geometries, such as insect wing venation. Here, we used landmark‐based wing geometric morphometrics to investigate the population‐level phenotypic variation of the two subspecies of Glossina morsitans, G. m. centralis Machado and G. m. morsitans Westwood that occur in Zambia. Twelve homologous landmarks digitised on the right wings of 720 specimens collected from four and five sites (80 per site with 1:1 sex ratio) within the G. m. centralis and G. m. morsitans range respectively, were subjected to generalised Procrustes analysis to obtain wing centroid size (CS) and wing shape variables. Linear permutation models and redundancy analysis were then used to compare CS and wing shape between male and female G. morsitans, the two subspecies G. m. centralis and G. m. morsitans, the sexes of each subspecies and between sample locations within each subspecies range, respectively. Significant differences in CS and wing shape were observed between G. morsitans sexes, subspecies and sample locations within each subspecies range. A neighbour‐joining cladogram derived from the analysis of Procrustes distances showed that tsetse within each subspecies range were highly divergent. We conclude that G. morsitans populations in Zambia exhibit significant population‐level variation in fly size and wing shape which suggests high levels of population structuring. The main drivers of this structuring could be random genetic drift in G. m. centralis demes and local adaptation to environmental conditions in G. m. morsitans populations. We therefore recommend molecular studies to estimate the levels of gene flow between these populations and identify possible barriers to genetic flow.

Analysis of the challenges of cohesion at the country and regional levels becomes especially relevant due to EU expansion, the Great Recession, and uneven economic recovery after that. Recent global events, such as the COVID-19 pandemic and imposed lockdowns, have further intensified interest in this issue. This study aims to evaluate the disparities in the development of Baltic States' regions using the author's proposed methodology for calculating an aggregate cohesion index. Some important conclusions can be made from the data analysis. A common trend across all countries was the notable economic strength of capital regions, with GDP per capita significantly exceeding national averages. Despite the pandemic's limited impact in 2020, a clear divergence trend emerged in 2021. Additionally, the club convergence between less developed regions was observed, especially in Lithuania and Latvia. In addition, Lithuania uniquely exhibited three distinct groups of regions based on economic development, in comparison with only two groups in Estonia and Latvia.

To predict potential epidemic outbreaks, we tested our strategy, Epi-Clock, which applies the novel ZHU algorithm to different SARS-CoV-2 datasets before outbreaks to search for significant mutational accumulation patterns correlated with outbreak events. Surprisingly, some inter-species genetic distances in Coronaviridae may represent intermediate states of different species or subspecies in the evolutionary history of Coronaviridae. The insertions and deletions in whole-genome sequences between different hosts were separately associated with important roles in host transmission and shifts in Coronaviridae. Furthermore, we believe that non-nucleosomal DNA may play a dominant role in the divergence of different lineages of SARS-CoV-2 in different regions of the world owing to the lack of nucleosome protection. We suggest that strong selective variation among different lineages of SARS-CoV-2 is required to produce strong codon usage bias, which appears in B.1.640.2 and B.1.617.2 (Delta). Notably, we found that an increasing number of other types of substitutions, such as those resulting from the hitchhiking effect, accumulated, especially in the pre-breakout phase, although some of the previous substitutions were replaced by other dominant genotypes. From most validations, we could accurately predict the potential pre-phase of outbreaks with a median interval of 5 days.

Establishing recipiency, an indispensable ingredient and manifestation of sustaining intersubjectivity, constitutes the continuous monitoring of an ongoing turn in an interaction. The present study intended to describe how interactants attending a freshman common course in an Ethiopian university elicit and display recipiency in instances of Divergent L2 contexts exhibiting DIUs. Naturally occurring video-recorded classroom interactions of the purposively selected interactants have been analyzed in light of the Conversation Analytic framework to show how interactants elicit and display recipiency. By deploying reactive tokens, incipient speakers negotiate their rights to shape and reshape trajectories of an ongoing thereby displaying recipiency. This contributes to a better understanding of how interactures, in this case the establishment of intersubjectivity and L2 contexts, interplay and unfold in moments of DIUs. Also, viewing interactants as incipient speakers, and thereby articulating turns in view of recipients is a condition for sustaining intersubjectivity through active engagement. This requires upholding unwavering belief about recipients’ stake in an interactional exchange. Practically, being attentive to recipients' states in the different trajectories of interactional development, especially, in moments of divergent L2 contexts that exhibit DIUs, would be illuminating. This is because the use of resources to elicit and display recipiency and thereby consider incipient speakers' levels of recipiency, on the part of floor-holding speaker, would enhance possibilities for intersubjectivity.