Growth Pattern Research Articles

Endoscopic surgical management of juvenile nasopharyngeal angiofibroma: Correlating tumour characteristics, risk of hemorrhage, and recurrence

ObjectivesJuvenile nasopharyngeal angiofibroma is an uncommon tumour primarily seen in young males. It is characterized by its vascular nature and aggressive growth pattern, presenting a significant surgical challenge. Endoscopic sinonasal surgery has become the treatment of choice, reducing both morbidity and blood loss, as well as recurrence rates. This study aims to present the clinical characteristics and surgical outcomes of patients with juvenile nasopharyngeal angiofibroma treated exclusively with endoscopic surgery at our centre. MethodsA retrospective cohort study was conducted on cases of juvenile nasopharyngeal angiofibroma treated with endoscopic surgery at a single centre between 2013 and 2023. ResultsA total of 21 patients were included in the study, with a mean age of 17.7 years. 57.14 % of the patients presented with an advanced stage (Stage ≥ IIc Radkowsky). The median volume was 79.2 cm3. Pre-surgical embolization was performed in all cases. 7 patients (33.3 %) required blood transfusion. The need for blood transfusion was associated with greater tumour volume (p = 0.0028), intracranial extension (p = 0.025), extension to the infratemporal fossa (p = 0.024), and orbital extension (p = 0.026). There were 2 cases (9.5 %) of tumour recurrence/persistence, both classified as stage IIIb. Tumour persistence/recurrence was more common in patients with intracranial extension (p = 0.045). ConclusionExclusive endoscopic resection of these tumours, regardless of volume and extension, does not increase the risk of blood loss or recurrence. Advanced-stage tumours, especially those with intracranial extension, present a higher risk of bleeding and tumour persistence. In these cases, the low morbidity of the endoscopic approach becomes more evident.

Robust organ size in Arabidopsis is primarily governed by cell growth rather than cell division patterns.

Organ sizes and shapes are highly reproducible, or robust, within a species and individuals. Arabidopsis thaliana sepals, which are the leaf-like organs that enclose flower buds, have consistent size and shape, indicating robust development. Cell growth is locally heterogeneous due to intrinsic and extrinsic noise. To achieve robust organ shape, fluctuations in cell growth must average to an even growth rate which requires that fluctuations are uncorrelated or anti-correlated in time and space. Here, we live image and quantify the development of sepals with increased or decreased number of cell divisions (lgo mutant and LGO overexpression, respectively), a mutant with altered cell growth variability (ftsh4), and double mutants combining these. Changes in the number of cell divisions do not change the overall growth pattern. By contrast, in ftsh4 mutants, cell growth accumulates in patches of over- and under-growth due to correlations that impair averaging, resulting in increased organ shape variability. Thus, we demonstrate in vivo the number of cell divisions does not affect averaging of cell growth, preserving robust organ morphogenesis, while correlated growth fluctuations impair averaging.

A growth curve model to estimate longitudinal effects of parental BMI on Indonesian children's growth patterns.

The global surge in childhood obesity is also evident in Indonesia. Parental body mass index (BMI) values were found to be one of the major determinants of the increasing prevalence of childhood obesity. It is uncertain if parental BMI during their offspring's childhood significantly affects their children's BMI trajectories into adulthood. We aimed to investigate the influence of parental BMI Z-scores on BMI trajectories of Indonesian school-aged children, with a focus on sex-specific effects. This study utilized data from the Indonesian Family Life Survey and tracked the same respondents over four time points, from wave 2 (1997-1998) to wave 5 (2014-2015). The sample of this study consisted of children aged 5-12 years in wave 2 for whom height and weight data were available. We utilized a two-level growth curve model to account for the hierarchical structure of the data, with time nested within individual children. Fathers' BMI Z-scores in wave 2 had a pronounced influence (β = 0.31) on female children's BMI Z-scores compared to the influence of mothers' BMI Z-scores (β = 0.17). Mothers' BMI Z-scores in wave 2 showed a stronger positive association with male children's BMI Z-scores (β = 0.22) than did the father's BMI Z-scores (β = 0.19). A significant interaction of fathers' BMI Z-scores and years of follow-up was found for male children. As male children's BMI Z-scores increased by year, this effect was stronger in those whose fathers' BMI Z-scores were at a higher level. In conclusion, we found that parental BMI values profoundly influenced their children's BMI trajectories.

Reference data for body composition parameters in normal-weight Polish adolescents: results from the population-based ADOPOLNOR study.

This study provides reference data for body composition in normal (healthy) weight Polish adolescents, providing a contextualised framework that takes into account the unique physiological and environmental factors of the region. These reference data may also be useful for other Central European adolescents. • Adolescence is a period of significant physical growth and increased susceptibility to nutritional problems due to factors such as suboptimal nutrition, unhealthy dietary choices, inadequate physical activity and psychosocial stressors related to body image concerns. • Body composition (BC) parameters, rather than BMI alone, are more effective in identifying nutritional abnormalities and health risks such as eating disorders, obesity and chronic diseases. Existing studies provide reference data for BC parameters, but often do not cover all relevant measures or specific regional populations. • This study provides new age- and sex-specific reference values for a comprehensive range of body composition parameters, including body cell mass (BCM), total body water (TBW) and muscle mass (MM), in addition to fat-free mass (FFM) and fat mass (FM), in a large, ethnically homogeneous, normal-weight population of Polish adolescents aged 10-18years. • These reference values for the normalweight cohort reflect healthy adolescent growth and body composition patterns, minimising bias from abnormal weight status.In addition, they can be applied to other Central European adolescent populations.

Single-cell RNA sequencing reveals heterogeneity of ALI model and epithelial cell alterations after exposure to electronic cigarette aerosol

Electronic cigarettes (e-cigarettes) have been advertised as a healthier alternative to traditional cigarettes; however, their exact effects on the bronchial epithelium are poorly understood. Air-liquid interface culture human bronchial epithelium (ALI-HBE) contains various cell types, including basal cell, ciliated cell and secretory cell, providing an in vitro model that simulates the biological characteristics of normal bronchial epithelium. Multiplex single-cell RNA sequencing of ALI-HBE was used to reveal previously unrecognized transcriptional heterogeneity within the human bronchial epithelium and cell type–specific responses to acute exposure to e-cigarette aerosol (e-aerosol) containing distinct components (nicotine and/or flavoring). The findings of our study show that nicotine-containing e-aerosol affected gene expression related to transformed basal cells into secretory cells after acute exposure; inhibition of secretory cell function by down-regulating genes related to epithelial cell differentiation, calcium ion binding, extracellular exosomes, and secreted proteins; and enhanced interaction between secretory cells and other cells. On the other hand, flavoring may alter the growth pattern of epithelial cells and make basal cells more susceptible to SARS-CoV infection. Besides, the data also indicate factors that may promote SARS-CoV-2 infection and suggest therapeutic targets for restoring normal bronchial epithelium function after e-cigarette use. In summary, the current study offered fresh perspectives on alterations in the cellular landscape and cell type–specific responses in human bronchial epithelium that are brought about by e-cigarette use.

Rodent models of tumours of the central nervous system.

Modelling of human diseases is an essential component of biomedical research, to understand their pathogenesis and ultimately, develop therapeutic approaches. Here, we will describe models of tumours of the central nervous system, with focus on intrinsic CNS tumours. Model systems for brain tumours were established as early as the 1920s, using chemical carcinogenesis, and a systematic analysis of different carcinogens, with a more refined histological analysis followed in the 1950s and 1960s. Alternative approaches at the time used retroviral carcinogenesis, allowing a more topical, organ-centred delivery. Most of the neoplasms arising from this approach were high-grade gliomas. Whilst these experimental approaches did not directly demonstrate a cell of origin, the localisation and growth pattern of the tumours already pointed to an origin in the neurogenic zones of the brain. In the 1980s, expression of oncogenes in transgenic models allowed a more targeted approach by expressing the transgene under tissue-specific promoters, whilst the constitutive inactivation of tumour suppressor genes ('knock out')-often resulted in embryonic lethality. This limitation was elegantly solved by engineering the Cre-lox system, allowing for a promoter-specific, and often also time-controlled gene inactivation. More recently, the use of the CRISPR Cas9 technology has significantly increased experimental flexibility of gene expression or gene inactivation and thus added increased value of rodent models for the study of pathogenesis and establishing preclinical models.

Gendered parenting and gender role attitude among children

In a society rife with gender stereotypes and discrimination, children frequently learn to accept gender roles that are not necessarily equitable to all genders. Many factors during childhood and adolescence impact children’s beliefs and actions about gender roles. These attitudes and behaviors are typically acquired and reinforced at home. Most research on gender socialization place greater emphasis on typical growth and average patterns across children. The present study investigated how gendered ideas and actions of parents influence their children’s attitudes about gender roles. The study examined gender stereotypes held by children about different concepts like occupation, appearance, play, and responsibilities, and how family contributed to their development. Data was collected from ten participants (of age between 4 and 6 years) from Kozhikode district, Kerala, India, using a semi-structured interview. The data was transcribed, and thematic analysis was performed. The study found that children had a solid gender-stereotyped viewpoint on all of the factors examined and that children make gender-stereotyped decisions, attitudes, and perceptions from a very young age. Role modeling and promoting distinct gendered behaviors are found to be the two ways through which parents and families impact children’s gender development. The present study has demonstrated that certain types of exposures from the family influence children’s learning of conventional gender roles. Society must establish a more gender-equitable context that will preserve the future psychological, social, and professional development of children.

Exploring the Uncommon: A Series on Dermatofibrosarcoma Protuberans with Rare Locations, Unusual Sites of Metastasis, and Their Close Mimics

Abstract Dermatofibrosarcoma protuberans (DFSP) is an uncommon, slowly growing soft-tissue tumor that involves the dermis, subcutaneous fat and very rarely involves, muscle and deep fascia. It is locally aggressive and an intermediate-grade fibroblastic neoplasm that rarely metastasizes. It is important to know about this entity as it is locally aggressive and has a higher rate of transformation into fibrosarcoma which has an aggressive growth pattern and frequently metastasizes. Apart from this, there are diagnostic challenges, especially in small biopsies, where they resemble other spindle cell neoplasms. This article reviews the clinical and histological features of DFSP as well as possible pitfalls in their diagnosis and how to resolve them. Diagnosed cases of DFSP were retrieved from pathology archives. Their locations and histopathological features along with Immunohistochemistry (IHC) features were reviewed. Our study identified 26 cases of DFSP for 5 years from January 2019 to January 2024 in a tertiary care hospital. The age of study subjects was in the range of 11–70 years. Male:female ratio was 1.30:1. The most common site was shoulder (n = 5). Immunohistochemistry (HC) was performed in cases with diagnostic dilemmas and cases of high-grade transformation. The aim of this study was to perform a retrospective analysis of histopathological features of DFSP to distinguish it from other mimics and emphasize its local aggressiveness, reoccurrence, and rare site of metastasis, especially in cases with fibrosarcomatous transformation. The careful histomorphological examination particularly in smaller biopsies can be challenging, especially in peripheral laboratories and in resource-limited settings.

Non-communicable diseases: Opportunities to promote future health during the first 1000 day of life

The Developmental Origins of Health and Disease (DOHaD) framework now underlies the evolution and epigenetics of many non-communicable diseases that develop in adult life. Type 2 diabetes, obesity, hypertension, heart disease and stroke in particular have links back to events during the first 1000 days of life, and as the world is witnessing an epidemic of these conditions, identifying measures able to contribute to reducing the potential for these NCDs to develop in our aging populations becomes all the more important. Parental health at conception and good maternal health and nutrition throughout pregnancy are known to be integral to normal infant development and health in later life, but more recently the central importance of infant nutrition that achieves healthy weight gain has become recognized. In this context, achieving growth patterns for infants that avoid either the onset of obesity or development of stunting during the first 1000 days of life appears to be an achievable goal with significant potential for the avoidance of many NCDs in later life. Hence the relevance of health promotion initiatives to share this knowledge among health care providers and educate parents on the benefits of optimal infant nutrition.

Short-Term Growth Dynamics of Spontaneous and Planted Vegetation on Subtropical Extensive Green Roof as Renaturalized Biotope

Spontaneous vegetation within a managed green space is often regarded as unwelcoming and insignificant weeds. This perception is still deep-rooted among green-space managers and the general public worldwide; they are generally uncertain about the management needs after allowing these groups of flora to take root. The short-term growth dynamics of both spontaneous and planted vegetation should be analyzed, and a widely acceptable, feasible management plan to balance aesthetic and ecological functions should be formulated with the backing of data and analysis for such fast-growing flora in tropical and subtropical regions. A manicured, extensive green roof with only seven (two native, five exotic) plant species was transformed into a renaturalized biotope by replacing 15 native ferns and forb species over 15 months. After planting, a baseline plant survey was conducted, with 54 plant species representing spontaneous growth and 14 planted species alive (7 planted native species survived, plus 7 species planted prior to renaturalization revived). Three quarterly plant surveys recorded the cover-abundance of each species, and the growth dynamics of the planted and spontaneous plant species were evaluated over the first year of study. During each quarterly survey, the number of planted and spontaneous plant species remained stable (ranging from 14 to 16 species and 51 to 54 species, respectively), with a constant turnover of 11 to 12 die-out species and 11 to 12 newly colonized or revived species. Plant coverage of different plant forms fluctuated slightly (within 7%) in the quarterly surveys according to seasonal changes, except for ferns, which outperformed (12% increase in coverage in a year) all the other plant forms. The height of the planted vegetation fluctuated in a year, being shorter during the summer, while the height of spontaneous vegetation remained stable throughout the year, exhibiting resilience to scouring heat. The seasonal growth tendencies of both planted and spontaneous plants were illustrated in relation to their species ranks, and further hierarchical cluster analysis was conducted for the clustering of spontaneous species. Their differential growth patterns provided comprehensive information or supported decisions regarding plant selection and maintenance, which is a scientific novelty within this unexplored topic. Management recommendations based on the findings were suggested to fulfill both aesthetic and ecological needs. Species with stable and less stable growth patterns could be useful to meet maintenance efficiency and biodiversity enhancement needs, respectively. These findings provide insights to form guiding principles for choosing plant species for renaturalization projects.

Morphological and Molecular Characterization of Trichoderma Isolates from Vegetable Crop Rhizospheres in Nepal

Background Trichoderma spp. hold significant potential as biocontrol agents in agriculture due to their antagonistic properties against plant pathogens. The study aimed to characterize and identify Trichoderma isolates from rhizospheric regions of vegetable crops. Methods In this study, Trichoderma isolates were collected from rhizospheric soil samples of vegetable crops from different ecological zones and were selected for comprehensive morphological and molecular characterization. The isolates were visually assessed for colony color, growth pattern, aerial mycelium presence, phialide and conidial morphology, and chlamydospore presence. Molecular analysis was employed based on ITS and tef-1α sequences. Diversity indices were also computed for different ecological zones. Results The morphological characteristics and phylogenetic trees for both regions provided a clear species resolution, with four main clades: Harzianum, Viride, Brevicompactum and Longibrachiatum with 12 species T. harzinaum, T. afroharzianum, T. lentiforme, T. inhamatum, T. camerunense, T. azevedoi, T. atroviride, T. asperellum, T. asperelloides, T. koningii, T. longibrachiatum and T. brevicompactum and nine species as a new country record. Diversity indices indicated that high mountain regions displayed the highest species diversity and evenness (H = 1.724 [0.28], J = 0.84, D = 0.28), followed by hilly regions (H = 1.563 [0.28], J = 0.72, D = 0.28). Plains, on the other hand, exhibited lower species diversity (H = 1.515, J = 0.66, D = 0.33). The calculated species abundance values showed that plains (E = 2.11), mid-hills (E = 1.95), and high mountains (E = 1.99) each had their unique diversity profiles. Notably, T. afroharzianum and T. asperellum were predominant. Conclusions Overall, the study unveiled a rich diversity of Trichoderma species in different agricultural zones of Nepal. These findings shed light on the ecological distribution and diversity of Trichoderma spp., which could have significant implications for sustainable agriculture and biological control strategies.

Ctr9 promotes virulence of Candida albicans by regulating methionine metabolism

ABSTRACT Candida albicans, a part of normal flora, is an opportunistic fungal pathogen and causes severe health issues in immunocompromised patients. Its pathogenicity is intricately linked to the transcriptional regulation of its metabolic pathways. Paf1 complex (Paf1C) is a crucial transcriptional regulator that is highly conserved in eukaryotes. The objective of this study was to explore the role of Paf1C in the metabolic pathways and how it influences the pathogenicity of C. albicans. Paf1C knockout mutant strains of C. albicans (ctr9Δ/Δ, leo1Δ/Δ, and cdc73Δ/Δ) were generated using the CRISPR-Cas9 system. To investigate the effect of Paf1C on pathogenicity, macrophage interaction assays and mouse survival tests were conducted. The growth patterns of the Paf1C knockout mutants were analyzed through spotting assays and growth curve measurements. Transcriptome analysis was conducted under yeast conditions (30°C without serum) and hyphal conditions (37°C with 10% FBS), to further elucidate the role of Paf1C in the pathogenicity of C. albicans. CTR9 deletion resulted in the attenuation of C. albicans virulence, in macrophage and mouse models. Furthermore, we confirmed that the reduced virulence of the ctr9Δ/Δ mutant can be attributed to a decrease in C. albicans cell abundance. Moreover, transcriptome analysis revealed that metabolic processes required for cell proliferation are impaired in ctr9Δ/Δ mutant. Notably, CTR9 deletion led to the downregulation of methionine biosynthetic genes and the cAMP-PKA signaling pathway-related hypha essential genes, which are pivotal for virulence. Our results suggest that Ctr9-regulated methionine metabolism is a crucial factor for determining C. albicans pathogenicity.

Live weight peculiarities of the Tsigai breed young sheep during the suckling period in connection with the terms of sheep ewes’ gestation

The correlation of the Tsigai breed ewes’ gestation period with the patterns of growth and development of the sheep growing stock during the suckling period was explored in the article. The dates of inseminations and calvings were selected for analysis to calculate the duration of ewes' gestation and indicators of live weight of young animals at birth and at weaning with subsequent calculation of correlations between these traits. The average duration of the ewes’ gestation period is 157.76 ± 0.61 days (Cv=7.6%). The single-born ewe lambs of the No. 01684 line were higher in live weight by 6.9% (р ≤ 0.001), and higher in average daily gain by 6.0% (р ≤ 0.001) than the sample averages at weaning. The single-born ram lambs the No. 80077 line have a significant advantage in terms of live weight at weaning by 9.1% (р ≤ 0.01), and in terms of average daily gains by 11.8% (р ≤ 0.05). Single-born ram lambs of the No. 01684 and No. 66796 lines with a reduced live weight at birth grow more intensively: a significant advantage in terms of live weight at weaning and average daily growth, respectively, is 12.1% (р ≤ 0.001) and 9.6 % (р ≤ 0.01) higher in comparison with the average sample values. Twin ewe lambs of the No. 80077 line with a lower live weight at birth by 0.2% and an increased weight at birth by 0.4, the difference of which is also not reliable, nevertheless have a significant advantage in average daily growth compared to the average – by 9.1% (р ≤ 0.001), while the twin ram lambs have no significant difference in the indicators of the suckling period. Milkiness is negatively associated with the duration of pregnancy of ewes and positively with the lambs live weight at weaning period. In order to establish a line for increased multiplicity, it is necessary to select ewe lambs to be used in the replacement stock from twin litters in the line No. 80077. The increased live weight of young animals from single litters is formed by the parent livestock of No. 01684, 20832, 65204 and 80077 lines. The advantage of twin ram lambs in terms of live weight over the average values has not been proven.

Application of Bioelectrical Impedance Analysis in Weight Management of Children with Spina Bifida.

Children with spina bifida (SB) face an elevated risk of obesity, which necessitates precise methods for assessing body composition to ensure effective weight management. Conventional measures like BMI are inadequate for this population because of variations in growth patterns and skeletal structure. Bioelectrical impedance analysis (BIA) is a method that offers a clearer picture of body composition, yet its use in children with SB remains underexplored. Conducted on 57 children with SB and 28 healthy controls, with a median age of 11 years, this study evaluated anthropometrics, including BMI and BIA-derived metrics. The Hoffer's scale to assess physical activity was applied in SB children. Results showed that while 32% of SB patients were classified as overweight or obese based on BMI, 62% exhibited high body fat percentage via BIA. Fat-free mass, muscle and fat mass, and fat-to-muscle ratio (FMR) differed significantly compared to the reference group. Non-ambulators showed a higher median body fat mass percentage (25.9% vs. 17.8%, p = 0.01) and FMR (0.92 vs. 0.44, p = 0.003) in comparison to the community walkers. In SB children, BIA-measured fat mass is a better obesity indicator than BMI. Non-ambulatory, SB patients with obesity had the highest FMR values, indicating a higher risk for metabolic syndrome.

A BIBLIOMETRIC REVIEW OF RESEARCH ON PARTICIPATIVE LEADERSHIP THEORY IN EDUCATION: SCIENCE MAPPING THE LITERATURE, 1926-2023

This study aims to undertake a comprehensive analysis addressing the extent, growth patterns, and geographical spread, of journals, authors, and articles that have demonstrated the most significant impact in terms of relevance. The methodology entails the use of visualization techniques and bibliometric analysis as quantitative tools and the adoption of an evaluative and descriptive approach to depict the research analysis. The data sourced from the reputable Scopus database have led to the identification of a total of 850 publications, encompassing various formats such as repositories, books, book chapters, journal articles, and proceedings. In the analysis of these publications, the study delves into the years 1926-2023, employing the R Studio and VOS Viewer software. The finding shows that North America and Europe are well-represented among the top contributors. The article's production over time highlights diverse trajectories among countries like Spain, the United Kingdom, the USA, Indonesia, and Canada. However, it's noteworthy that high productivity doesn't guarantee a similar level of citation impact. The relationship between productivity and relevance, is intricate, reflecting the dynamic nature of research impact in the academic domain. Furthermore, the analysis reveals a noticeable upward trend in the frequency of key categories such as leadership, human, article, education, and others over the specified period. Furthermore, the persistence of these trends from 2021 to 2023 signifies the enduring relevance and evolution of participative leadership research. The exploration of correlations with traditionally less associated dimensions reflects the field's adaptability and responsiveness to contemporary issues.

Artificial Intelligence Techniques in Crop Yield Estimation Based on Sentinel-2 Data: A Comprehensive Survey

This review explores the integration of Artificial Intelligence (AI) with Sentinel-2 satellite data in the context of precision agriculture, specifically for crop yield estimation. The rapid advancements in remote sensing technology, particularly through Sentinel-2’s high-resolution multispectral imagery, have transformed agricultural monitoring by providing critical data on plant health, soil moisture, and growth patterns. By leveraging Vegetation Indices (VIs) derived from these images, AI algorithms, including Machine Learning (ML) and Deep Learning (DL) models, can now predict crop yields with high accuracy. This paper reviews studies from the past five years that utilize Sentinel-2 and AI techniques to estimate yields for crops like wheat, maize, rice, and others. Various AI approaches are discussed, including Random Forests, Support Vector Machines (SVM), Convolutional Neural Networks (CNNs), and ensemble methods, all contributing to refined yield forecasts. The review identifies a notable gap in the standardization of methodologies, with researchers using different VIs and AI techniques for similar crops, leading to varied results. As such, this study emphasizes the need for comprehensive comparisons and more consistent methodologies in future research. The work underscores the significant role of Sentinel-2 and AI in advancing precision agriculture, offering valuable insights for future studies that aim to enhance sustainability and efficiency in crop management through advanced predictive models.

A Flowering Morphological Investigation, Fruit Fatty Acids, and Mineral Elements Dynamic Changes of Idesia polycarpa Maxim.

Idesia polycarpa Maxim is a high-value species of fruit oil with edible, abundant linoleic acid and polyphenols. Idesia polycarpa is described as a dioecious species, and the flowers are male; female and bisexual flowers are produced on separate plants. In order to explore the flower types of Idesia polycarpa, the morphology of its flowers and inflorescence were investigated in this study. The flower and inflorescence types, the diameter, and the flowering sequencing in male and female inflorescence were determined. We also detected the length, width, and fresh weight of leaves, shoots, and female inflorescence, as well as the length and fresh weight of the petiole during the development. Additionally, we compared the length, width, the length/width ratio, and the flowering density between 5- and 7-year-old female trees. The phenological period observation of Idesia polycarpa showed that the development process can be roughly divided into 12 stages, including bud burst, leaf expansion, inflorescence growth, initial flowering, full flowering, flower decline, initial fruiting, fruit enlargement, fruit color change, fruit ripening, post-ripening of fruit, and leaf fall periods. Furthermore, four elites' fruit determined the oil content and the composition of fatty acid content during the development. The dynamic of fatty acids contents, the palrnitic acid, palmitoleic acid, stearic acid, oleic acid, and linolenic acid contents were detected during the fruit development of four elites. Moreover, the mineral elements content of fruit of four elites during development were determined. The patterns of vegetative and reproductive growth in young dioecious trees of Idesia polycarpa provided the theoretical basis for artificial pruning and training.

Age- and size-related changes in hind limb muscles in two baboon species (Papio anubis and P. papio).

Body size has an impact on all biological functions and analyzing how body size impacts functional traits such as locomotion is critical. Body size does not only vary across species but also during ontogeny. Indeed, juvenile animals are often at a competitive disadvantage due to their smaller absolute size. Consequently, understanding size- and age-related changes in the locomotor system is critical for our understanding of adult phenotypes. Here, we address this question by exploring growth of the hind limb muscles in two species of closely related baboons that differ in their ecology, the olive baboon, Papio Anubis, the Guinea baboon, and Papio papio. To do so, we dissected 40 P. anubis and 10 P. papio and measured the mass and physiological cross-sectional area (PCSA) of the hind limb muscles. Our results showed no sexual differences in size- or age-related growth patterns, but did show differences between species. Whereas the scaling of muscle mass and PCSA was largely isometric in P. anubis, allometric scaling was more common in P. papio. Despite these differences between species, the knee extensors and external rotators at the knee scaled with positive allometry in both species highlighting their important role during adult locomotion. Although life-history data for P. papio are scarce, we suggest that differences between species may be associated with differences in adult body size and age of locomotor independence between species.

Advanced multi-scale mechanobiological simulations enable the distinction between healthy and pathological bone growth patterns

Advanced multi-scale mechanobiological simulations enable the distinction between healthy and pathological bone growth patterns

Herbage biomass predictions from UAV data using a derived digital terrain model and machine learning

AbstractMore than 70% of Switzerland's agricultural area is covered by grasslands that often exhibit highly diverse species compositions and heterogeneous growth patterns. An essential requirement for efficient and effective pasture management is the regular estimation of herbage biomass. While various methods exist for estimating herbage biomass, they are often time‐consuming and may not accurately capture the variability within pastures. This highlights the need for more efficient, accurate estimation techniques. To help improve herbage biomass estimation, we present estiGrass3D+, a Random Forest model. This model predicts pasture biomass using a digital terrain model (DTM) derived from a digital surface model (DSM) for sward height modelling, along with vegetation indices and agronomic variables from UAV images only. The model was successfully evaluated with independent test data from different sites on the Swiss central plateau, including both grazed and mown areas. Model performance on an independent validation dataset achieved a NRMSE of 20.3%, while the training dataset had an NRMSE of 21.5%. These consistent results confirm that estiGrass3D+ is both transferable and applicable to unseen data while maintaining accuracy and reliability across different datasets. The wide applicability of our method demonstrates its practicality for predicting herbage biomass under different pasture management scenarios. Additionally, our method of deriving a DTM directly from a DSM simplifies the measurement of grass sward height by UAVs, eliminating the need for prior ground control point (GCP) marking and subsequent aligning, enhancing the efficiency of herbage biomass estimation.