Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolution of correlated complexity in the radically different courtship signals of birds-of-paradise

Ornaments used in courtship often vary wildly among species, reflecting the evolutionary interplay between mate preference functions and the constraints imposed by natural selection. Consequently, understanding the evolutionary dynamics responsible for ornament diversification has been a longstanding challenge in evolutionary biology. However, comparing radically different ornaments across species, as well as different classes of ornaments within species, is a profound challenge to understanding diversification of sexual signals. Using novel methods and a unique natural history dataset, we explore evolutionary patterns of ornament evolution in a group - the birds-of-paradise - exhibiting dramatic phenotypic diversification widely assumed to be driven by sexual selection. Rather than the tradeoff between ornament types originally envisioned by Darwin and Wallace, we found positive correlations among cross-modal (visual/acoustic) signals indicating functional integration of ornamental traits into a composite unit - the courtship phenotype. Furthermore, given the broad theoretical and empirical support for the idea that systemic robustness - functional overlap and interdependency - promotes evolutionary innovation, we posit that birds-of-paradise have radiated extensively through ornamental phenotype space as a consequence of the robustness in the courtship phenotype that we document at a phylogenetic scale. We suggest that the degree of robustness in courtship phenotypes among taxa can provide new insights into the relative influence of sexual and natural selection on phenotypic radiations. Author Summary Animals frequently vary widely in ornamentation, even among closely related species. Understanding the patterns that underlie this variation is a significant challenge, requiring comparisons among drastically different traits - like comparing apples to oranges. Here, we use novel analytical approaches to quantify variation in ornamental diversity and richness across the wildly divergent birds-of-paradise, a textbook example of how sexual selection can profoundly shape organismal phenotypes. We find that color and acoustic complexity, along with behavior and acoustic complexity, are positively correlated across evolutionary time-scales. Positive covariation among ornament classes suggests that selection is acting on correlated suites of traits - a composite courtship phenotype - and that this integration may be partially responsible for the extreme variation we see in birds-of-paradise.
Family caregivers’ perspectives on medication adherence challenges in older people with dementia: a qualitative study

Abstract Objectives: To achieve a better understanding of medication non-adherence determinants in older people with dementia from caregivers’ perspectives and possible management solutions to improve medication adherence. Method: Semi-structured telephone interviews were conducted with 20 caregivers of older people with dementia living in the community. Data was analyzed using an inductive thematic analysis based on Braun and Clarke’s method. Findings: Four themes emerged: dementia symptoms influence medication adherence, medication increases caregiver burden, lack of self-efficacy, medication aids and technology to enhance medication adherence. Caregivers’ lack of knowledge reduces their self-efficacy in managing medications and increases their burden of care. The majority of caregivers used technology and welcomed its use to assist them with their role. Conclusion: Caregivers require knowledge and support such as a multifaceted technology based intervention to assist with medication adherence.
Bilingual Speech Sound Development During the Preschool Years: The Role of Language Proficiency and Cross-Linguistic Relatedness.

Purpose The purpose of this study was to investigate typical Spanish-English speech sound development longitudinally in a group of bilingual preschoolers enrolled in a Head Start Program and to examine the extent to which such development is linked to language proficiency. The study also aimed to identify whether speech development is related cross-linguistically and to improve our understanding of error patterns in this population. Method Thirty-five bilingual preschool children produced single-word speech samples in Spanish and English both at the beginning of their first and their second year in a Head Start Program. Conversational samples in both languages were also collected at these data points to calculate mean length of utterance in words (MLUw) and thus assess the children's linguistic proficiency. The phonetically transcribed speech samples were compared over time in terms of segmental accuracy measures and error pattern frequencies. Correlation analyses were run to examine the relation between segmental accuracy measures across languages and between speech sound production and MLUw. Results One-way within-subject analysis of variance revealed significant improvements in accuracy over time in both languages, but not always for cross-linguistically unshared segments, nor for all consonant manner classes. Overall error rates decreased over time in both languages; although, certain error types showed no change. Cross-linguistic interactions were low in both languages. The results also revealed significant cross-linguistic correlations in segmental accuracy between Spanish and English, as well as between MLUw and speech sound production in both languages on a range of measures, with language-specific differences in Year 2 of the Head Start Program, but not in Year 1. Conclusions This study is the first to document developmental changes in the speech patterns of Spanish-English bilingual preschool children over 1 year. Accuracy rates improved significantly in both languages, suggesting that enhanced exposure to the majority language at school may not impede phonological development in the home language. Bootstrapping effects were particularly pronounced on cross-linguistically shared sounds, which suggests that the same underlying skills are utilized in both languages, whereas language-specific singleton consonants and consonant clusters did not appear to benefit from exposure to the other language. The results also suggest an intricate link between phonological skills and morphosyntactic performance at the early stages of development, but a more complex pattern thereafter with differences that may be based on language-specific phonological properties.
DNA metabarcoding from sample fixative as a quick and voucher preserving biodiversity assessment method

Metabarcoding is a powerful tool for biodiversity assessment and has become increasingly popular in recent years. Although its reliability and applicability have been proven in numerous scientific studies, metabarcoding still suffers from some drawbacks. One is the usually mandatory destruction of specimens before DNA extraction, which is problematic because it does not allow a later taxonomic evaluation of the results. Additionally, metabarcoding often implements a time-consuming step, where specimens need to be separated from substrate or sorted in different size classes. A non-destructive protocol, excluding any sorting step, where the extraction of DNA is conducted from a samples fixative (ethanol) could serve as an alternative. We test an innovative protocol, where the sample preserving ethanol is filtered and DNA extracted from the filter for subsequent DNA metabarcoding. We first tested the general functionality of this approach on 15 mock communities comprising one individual of eight different macroinvertebrate taxa each and tried to increase DNA yield through different treatments (ultrasonic irradiation, shaking, freezing). Application of the method was successful for most of the samples and taxa, but showed weaknesses in detecting mollusc taxa. In a second step, the community composition detected in DNA from ethanol was compared to conventional bulk sample metabarcoding of complex environmental samples. We found that especially taxa with pronounced exoskeleton or shells (Coleoptera, Isopoda) and small taxa (Trombidiformes) were underrepresented in ethanol samples regarding taxa diversity and read numbers. However, read numbers of Diptera (mainly chironomids) and Haplotaxida were higher in ethanol derived DNA samples, which might indicate the detection of stomach content, which would be an additional advantage of this approach. Concerning EPT (Ephemeroptera, Plecoptera, Trichoptera) taxa which are decisive for the determination of ecological statuses, both methods had 46 OTUs in common with 4 unique to the ethanol samples and 10 to the bulk samples. Results indicate that fixative-based metabarcoding is a non-destructive, time-saving alternative for biodiversity assessments focussing on taxa used for ecological status determination. For a comprehensive picture on total biodiversity, the method might however not be sufficient and conventional bulk sample metabarcoding should be applied.
Silver and Copper Acute Effects on Membrane Proteins and Impact on Photosynthetic and Respiratory Complexes in Bacteria

The use of metal ions represents a serious threat to the environment and to all living organisms because of the acute toxicity of these ions. Nowadays, silver nanoparticles are one of the most widely used nanoparticles in various industrial and health applications. The antimicrobial effect of nanoparticles is in part related to the released Ag+ ions and their ability to interact with bacterial membranes. Here, we identify, both in vitro and in vivo, specific targets of Ag+ ions within the membrane of bacteria. This include complexes involved in photosynthesis, but also complexes involved in respiration. ABSTRACT Silver (Ag+) and copper (Cu+) ions have been used for centuries in industry, as well as antimicrobial agents in agriculture and health care. Nowadays, Ag+ is also widely used in the field of nanotechnology. Yet, the underlying mechanisms driving toxicity of Ag+ ions in vivo are poorly characterized. It is well known that exposure to excess metal impairs the photosynthetic apparatus of plants and algae. Here, we show that the light-harvesting complex II (LH2) is the primary target of Ag+ and Cu+ exposure in the purple bacterium Rubrivivax gelatinosus. Ag+ and Cu+ specifically inactivate the 800-nm absorbing bacteriochlorophyll a (B800), while Ni2+ or Cd2+ treatment had no effect. This was further supported by analyses of CuSO4- or AgNO3-treated membrane proteins. Indeed, this treatment induced changes in the LH2 absorption spectrum related to the disruption of the interaction of B800 molecules with the LH2 protein. This caused the release of B800 molecules and subsequently impacted the spectral properties of the carotenoids within the 850-nm absorbing LH2. Moreover, previous studies have suggested that Ag+ can affect the respiratory chain in mitochondria and bacteria. Our data demonstrated that exposure to Ag+, both in vivo and in vitro, caused a decrease of cytochrome c oxidase and succinate dehydrogenase activities. Ag+ inhibition of these respiratory complexes was also observed in Escherichia coli, but not in Bacillus subtilis. IMPORTANCE The use of metal ions represents a serious threat to the environment and to all living organisms because of the acute toxicity of these ions. Nowadays, silver nanoparticles are one of the most widely used nanoparticles in various industrial and health applications. The antimicrobial effect of nanoparticles is in part related to the released Ag+ ions and their ability to interact with bacterial membranes. Here, we identify, both in vitro and in vivo, specific targets of Ag+ ions within the membrane of bacteria. This include complexes involved in photosynthesis, but also complexes involved in respiration.
Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau

The Mongolian plateau is a hotspot of global desertification because it is heavily affected by climate change, and has a large diversity of vegetation cover across various regions and seasons. Within this arid region, it is difficult to distinguish desertified land from other land cover types using low-quality vegetation information. To address this, we analyze both the effects and the applicability of different feature space models for the extraction of desertification information with the goal of finding appropriate approaches to extract desertification data on the Mongolian plateau. First, we used Landsat 8 remote sensing images to invert NDVI (normalized difference vegetation index), MSAVI (modified soil adjusted vegetation index), TGSI (topsoil grain size index), and albedo (land surface albedo) data. Then, we constructed the feature space models of Albedo-NDVI, Albedo-MSAVI, and Albedo-TGSI, and compared their extraction accuracies. Our results show that the overall classification accuracies of the three models were 84.53%, 85.60%, and 88.27%, respectively, indicating that the three feature space models are feasible for extracting information relating to desertification on the Mongolian plateau. Further analysis indicates that the Albedo-NDVI model is suitable for areas with a high vegetation cover or a high forest ratio, whilst the Albedo-MSAVI model is suitable for areas with relatively low vegetation cover, and the Albedo-TGSI model is suitable for areas with extremely low vegetation cover, including the widely distributed Gobi Desert and other barren areas. This study provides a technical selection reference for the investigation of desertification of different zones on the Mongolian plateau.
A New Speech, Spatial, and Qualities of Hearing Scale Short-Form: Factor, Cluster, and Comparative Analyses.

OBJECTIVES The objective of this work was to build a 15-item short-form of the Speech Spatial and Qualities of Hearing Scale (SSQ) that maintains the three-factor structure of the full form, using a data-driven approach consistent with internationally recognized procedures for short-form building. This included the validation of the new short-form on an independent sample and an in-depth, comparative analysis of all existing, full and short SSQ forms. DESIGN Data from a previous study involving 98 normal-hearing (NH) individuals and 196 people with hearing impairments (HI), non hearing aid wearers, along with results from several other published SSQ studies, were used for developing the short-form. Data from a new and independent sample of 35 NH and 88 HI hearing aid wearers were used to validate the new short-form. Factor and hierarchical cluster analyses were used to check the factor structure and internal consistency of the new short-form. In addition, the new short-form was compared with all other SSQ forms, including the full SSQ, the German SSQ15, the SSQ12, and the SSQ5. Construct validity was further assessed by testing statistical relationships between scores and audiometric factors, including pure-tone threshold averages (PTAs) and left/right PTA asymmetry. Receiver-operating characteristic analyses were used to compare the ability of different SSQ forms to discriminate between NH and HI (HI non hearing aid wearers and HI hearing aid wearers) individuals. RESULTS Compared all other SSQ forms, including the full SSQ, the new short-form showed negligible cross-loading across the three main subscales and greater discriminatory power between NH and HI subjects (as indicated by a larger area under the receiver-operating characteristic curve), as well as between the main subscales (especially Speech and Qualities). Moreover, the new, 5-item Spatial subscale showed increased sensitivity to left/right PTA asymmetry. Very good internal consistency and homogeneity and high correlations with the SSQ were obtained for all short-forms. CONCLUSIONS While maintaining the three-factor structure of the full SSQ, and exceeding the latter in terms of construct validity and sensitivity to audiometric variables, the new 15-item SSQ affords a substantial reduction in the number of items and, thus, in test time. Based on overall scores, Speech subscores, or Spatial subscores, but not Qualities subscores, the 15-item SSQ appears to be more sensitive to differences in self-evaluated hearing abilities between NH and HI subjects than the full SSQ.
Laboratory Measurements of Subsurface Spatial Moisture Content by Ground-Penetrating Radar (GPR) Diffraction and Reflection Imaging of Agricultural Soils

Soil moisture content (SMC) down to the root zone is a major factor for the efficient cultivation of agricultural crops, especially in arid and semi-arid regions. Precise SMC can maximize crop yields (both quality and quantity), prevent crop damage, and decrease irrigation expenses and water waste, among other benefits. This study focuses on the subsurface spatial electromagnetic mapping of physical properties, mainly moisture content, using a ground-penetrating radar (GPR). In the laboratory, GPR measurements were carried out using an 800 MHz central-frequency antenna and conducted in soil boxes with loess soil type (calcic haploxeralf) from the northern Negev, hamra soil type (typic rhodoxeralf) from the Sharon coastal plain, and grumusol soil type (typic chromoxerets) from the Jezreel valley, Israel. These measurements enabled highly accurate, close-to-real-time evaluations of physical soil qualities (i.e., wave velocity and dielectric constant) connected to SMC. A mixture model based mainly on soil texture, porosity, and effective dielectric constant (permittivity) was developed to measure the subsurface spatial volumetric soil moisture content (VSMC) for a wide range of moisture contents. The analysis of the travel times for GPR reflection and diffraction waves enabled calculating electromagnetic velocities, effective dielectric constants, and spatial SMC under laboratory conditions, where the required penetration depth is low (root zone). The average VSMC was determined with an average accuracy of ±1.5% and was correlated to a standard oven-drying method, making this spatial method useful for agricultural practice and for the design of irrigation plans for different interfaces.
The Largest Subunit of DNA Polymerase Delta Is Required for Normal Formation of Meiotic Type I Crossovers1[OPEN]

The Arabidopsis DNA polymerase δ catalytic subunit is required for the normal formation of meiotic interference-sensitive crossovers. Meiotic recombination contributes to the maintenance of the association between homologous chromosomes (homologs) and ensures the accurate segregation of homologs during anaphase I, thus facilitating the redistribution of alleles among progeny. Meiotic recombination is initiated by the programmed formation of DNA double strand breaks, the repair of which requires DNA synthesis, but the role of DNA synthesis proteins during meiosis is largely unknown. Here, we hypothesized that the lagging strand-specific DNA Polymerase δ (POL δ) might be required for meiotic recombination, based on a previous analysis of DNA Replication Factor1 that suggested a role for lagging strand synthesis in meiotic recombination. In Arabidopsis (Arabidopsis thaliana), complete mutation of the catalytic subunit of POL δ, encoded by AtPOLD1, leads to embryo lethality. Therefore, we used a meiocyte-specific knockdown strategy to test this hypothesis. Reduced expression of AtPOLD1 in meiocytes caused decreased fertility and meiotic defects, including incomplete synapsis, the formation of multivalents, chromosome fragmentation, and improper segregation. Analysis of meiotic crossover (CO) frequencies showed that AtPOLD1RNAi plants had significantly fewer interference-sensitive COs than the wild type, indicating that AtPOL δ participates in type I CO formation. AtPOLD1RNAi atpol2a double mutant meiocytes displayed more severe meiotic phenotypes than those of either single mutant, suggesting that the function of AtPOLD1 and AtPOL2A is not identical in meiotic recombination. Given that POL δ is highly conserved among eukaryotes, we hypothesize that the described role of POL δ here in meiotic recombination likely exists widely in eukaryotes.
Stress and Coping Profiles and Cardiometabolic Risk in Low-Income African American Women.

Background: The complex interplay of psychological stress appraisal, biology, chronically stressful environments, and individual coping mechanisms can impact and tax physiological adaptive processes. This can result in increased cardiometabolic risk (CMR), type 2 diabetes, and cardiovascular disease. Underlying mechanisms are not entirely clear and appear to differ significantly based on age, sex, race, and ethnicity. This crosssectional descriptive study explored stress profiles of psychological and behavioral adjustment to determine the extent to which patterns of stressors, coping, and CMR differentiated these profiles. Materials and Methods: African American (AA) women (N = 110; M age = 38.61 years, SD = 6.94 years) were recruited from low-income communities and participated in two home visits to complete stress and coping and cardiovascular risk measures. Results: Three distinct stress and coping adjustment profiles were associated with differences in CMR. The "holding steady" profile had less insulin resistance (IR) and substance use compared to "high substance users" and "high internalizers" profiles. Women who were "holding steady" used less avoidant coping than "high internalizers. " Conclusions: Less favorable adjustment processes were associated with IR, as well as significantly higher levels of avoidant coping and substance use. In AA women, awareness of and attention to stress and coping patterns may help attenuate CMR.