bluuebunny/crossref_metadata_2025_split huggingface dataset:
Different modeling approaches in the simulation of extrinsic coagulation factor X activation: Limitations and areas of applicability
Authors: Kovalenko Tatiana A. , Panteleev Mikhail A. , Sveshnikova Anastasia N. 
Published: February 2023

AbstractProteolytic reactions on the phospholipid membrane surface, so‐called “membrane‐dependent” reactions, play central role in the process of blood clotting. One particularly important example is FX activation by the extrinsic tenase (VIIa/TF). Here we constructed three mathematical models of FX activation by VIIa/TF: (A) a homogeneous “well‐mixed” model, (B) a two‐compartment “well‐mixed” model, (C) a heterogeneous model with diffusion, to investigate the impact and importance of inclusion of each complexity level. All models provided good description of the reported experimental data and were equivalently applicable for <40 μM of phospholipids. Model C provided better predictions than A, B in the presence of TF‐negative phospholipid microparticles. Models predicted that for high TF surface density (STF) and FX deficiency the FX activation rate was limited by the rate of FX binding to the membrane. For low STF and excess of FX the reaction rate was limited by the tenase formation rate. The analysis of the substrate delivery pathways revealed that FX bound to VIIa/TF predominantly from solution for STF >2.8 × 10−3 nmol/cm2 and from the membrane for lower STF. We proposed the experimental setting to distinguish between the collision‐limited and non‐collision‐limited binding. The analysis of models in flow and non‐flow conditions revealed that the model of a vesicle in flow might be substituted by model C in the absence of the substrate depletion. Together, this study was the first which provided the direct comparison of more simple and more complex models. The reaction mechanisms were studied in a wide range of conditions.
Associations between mukbang viewing and disordered eating behaviors
Authors: von Ash Tayla , Huynh Rachel , Deng Carrie , White Marney A. 
Published: February 2023

AbstractObjectiveMukbang videos are a popular cultural phenomenon that often feature a host consuming large amounts of food to entertain an audience. We aim to examine the relationship between mukbang viewing characteristics and eating disorders symptoms.MethodsEating disorder symptoms were evaluated using the eating disorders examination–questionnaire. Frequency of mukbang viewing, average watch time per occasion, tendency to eat while watching mukbang, and problematic mukbang viewing (using the Mukbang Addiction Scale) were assessed. We used multivariable regressions to estimate associations between mukbang viewing characteristics and eating disorder symptoms, adjusting for gender, race/ethnicity, age, education, and BMI. We used social media to recruit adults who watched mukbang at least once during the past year (n = 264).ResultsA total of 34% of participants reported watching mukbang daily or almost daily, with mean watch time per viewing session being 29.94 min (SD = 1.00). Eating disorder symptoms, especially binge eating and purging, were associated with greater problematic mukbang viewing and a tendency to not consume food while viewing mukbang. Participants with greater body dissatisfaction watched mukbang more frequently and were more likely to eat while watching mukbang, yet they scored lower on the Mukbang Addiction Scale and watched fewer average minutes of mukbang per viewing occasion.DiscussionIn a world increasingly penetrated by online media, our findings linking mukbang viewing and disordered eating may inform clinical diagnoses and treatments of eating disorders. Future studies establishing directionality of the relationship between mukbang viewing behaviors and eating disorder pathology are warranted.Public SignificanceMukbang videos often feature a host consuming large amounts of food. Using a questionnaire assessing mukbang viewing behaviors and disordered eating pathology, we found associations between certain viewing habits and disordered eating symptoms. Given the health consequences of eating disorders and potentially problematic consequences of certain online media, this study can inform clinical understanding of individuals with disordered eating who engage in certain online media, like mukbang.
Mapping the correlations and gaps in studies of complex life histories
Authors: Richardson Emily L. , Marshall Dustin J. 
Published: February 2023

AbstractFor species with complex life histories, phenotypic correlations between life‐history stages constrain both ecological and evolutionary trajectories. Studies that seek to understand correlations across the life history differ greatly in their experimental approach: some follow individuals (“individual longitudinal”), while others follow cohorts (“cohort longitudinal”). Cohort longitudinal studies risk confounding results through Simpson's Paradox, where correlations observed at the cohort level do not match that of the individual level. Individual longitudinal studies are laborious in comparison, but provide a more reliable test of correlations across life‐history stages. Our understanding of the prevalence, strength, and direction of phenotypic correlations depends on the approaches that we use, but the relative representation of different approaches remains unknown. Using marine invertebrates as a model group, we used a formal, systematic literature map to screen 17,000+ papers studying complex life histories, and characterized the study type (i.e., cohort longitudinal, individual longitudinal, or single stage), as well as other factors. For 3315 experiments from 1716 articles, 67% focused on a single stage, 31% were cohort longitudinal and just 1.7% used an individual longitudinal approach. While life‐history stages have been studied extensively, we suggest that the field prioritize individual longitudinal studies to understand the phenotypic correlations among stages.
MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models
Authors: Ahmadi Mohsen , Hemami Mahmoud‐Reza , Kaboli Mohammad , Shabani Farzin 
Published: February 2023

AbstractSpecies distribution models (SDMs) are practical tools to assess the habitat suitability of species with numerous applications in environmental management and conservation planning. The manipulation of the input data to deal with their spatial bias is one of the advantageous methods to enhance the performance of SDMs. However, the development of a model parameterization approach covering different SDMs to achieve well‐performing models has rarely been implemented. We integrated input data manipulation and model tuning for four commonly‐used SDMs: generalized linear model (GLM), gradient boosted model (GBM), random forest (RF), and maximum entropy (MaxEnt), and compared their predictive performance to model geographically imbalanced‐biased data of a rare species complex of mountain vipers. Models were tuned up based on a range of model‐specific parameters considering two background selection methods: random and background weighting schemes. The performance of the fine‐tuned models was assessed based on recently identified localities of the species. The results indicated that although the fine‐tuned version of all models shows great performance in predicting training data (AUC > 0.9 and TSS > 0.5), they produce different results in classifying out‐of‐bag data. The GBM and RF with higher sensitivity of training data showed more different performances. The GLM, despite having high predictive performance for test data, showed lower specificity. It was only the MaxEnt model that showed high predictive performance and comparable results for identifying test data in both random and background weighting procedures. Our results highlight that while GBM and RF are prone to overfitting training data and GLM over‐predict nonsampled areas MaxEnt is capable of producing results that are both predictable (extrapolative) and complex (interpolative). We discuss the assumptions of each model and conclude that MaxEnt could be considered as a practical method to cope with imbalanced‐biased data in species distribution modeling approaches.
Morphometric changes on dung beetle Dichotomius problematicus (Coleoptera: Scarabaeidae: Scarabaeinae) related to conversion of forest into grassland: A case of study in the Ecuadorian Amazonia
Authors: Marín‐Armijos Diego , Chamba‐Carrillo Adolfo , Pedersen Karen M. 
Published: February 2023

AbstractThe conversion of forest into grassland can induce differentiation in the functional morphology of resilient species. To assess this effect, we have chosen a dung beetle Dichotomius problematicus, as a model species. We established 20 sampling points distributed along a transect for a forest and grassland located in the Podocarpus National Park in Ecuador. Four pit‐fall traps were baited with pig feces per sample point and were left open for 48 h. We sexed and measured 13 morphological traits of 269 individuals. Nonmetric multidimensional scaling was carried out to evaluate the influence of habitat and sexual dimorphism on the traits. We applied a principal component analysis to evaluate the morphological features that best explain the differences between land use and sexual dimorphism. We used generalized linear models to evaluate the explanatory variables: habitat and sexual dimorphism with respect to morphological traits. Five traits contributed over 70% body thickness, Pronotum width, Pronotum length, Head width and Elytra length, following the results of a principal component analysis. Both habitat and sex influence traits. In the forest, the individuals are larger than grassland likely due to available resources, but in grassland, the structures in charge of the burial process head, protibia are larger, displaying a strong pronotum and possible a greater reproductive capacity given by spherecity. These patterns of changes in the size of beetles and their structures could reflect the conservation state of an ecosystem.
Multiple genetic lineages of anadromous migratory Mekong catfish Pangasius krempfi revealed by mtDNA control region and cytochrome b
Authors: Duong Thuy‐Yen , Nguyen Ngoc‐Tran Thi , Tran Dac Dinh , Le Thanh Hoa , Nor Siti Azizah Mohd 
Published: February 2023

AbstractPopulation genetic structure of migratory fishes can reflect ecological and evolutionary processes. Pangasius krempfi is a critically important anadromous catfish in the Mekong River, and its migration pathways and genetic structure have attracted much interest. To investigate, we quantified the genetic diversity of this species using the control region (D‐loop) and Cytochrome b (Cytb) of the mitochondrial genome. Fish were sampled (n = 91) along the Mekong tributaries from upstream to estuaries and coastal areas in the Mekong Delta and compared to three samples from Pakse (Laos). The D‐loop haplotype (0.941 ± 0.014) and nucleotide diversity (0.0083 ± 0.0005) were high in all populations, but that of Cytb was low (0.331 ± 0.059 and 0.00063 ± 0.00011, respectively). No genetic difference was detected between populations, indicating strong gene flow and confirming a long migration distance for this species. Pangasius krempfi was not genetically structured according to geographical populations but was delineated into three haplogroups, suggesting multiple genetic lineages. The presence of haplogroups in each sampling location implies that migration downstream is random but parallel when the fish enter two river tributaries bifurcating from the main Mekong River. Individuals can also migrate along the coast, far from the estuaries, suggesting a longer migration path than previously reported, which is crucial for maintaining diverse genetic origin and migration pathways for P. krempfi.
Scale‐dependent diversity–biomass relationships can be driven by tree mycorrhizal association and soil fertility
Authors: Mao Zikun , van der Plas Fons , Corrales Adriana , Anderson‐Teixeira Kristina J. , Bourg Norman A. , Chu Chengjin , Hao Zhanqing , Jin Guangze , Lian Juyu , Lin Fei , Li Buhang , Luo Wenqi , McShea William J. , Myers Jonathan A. , Shen Guochun , Wang Xihua , Yan En‐Rong , Ye Ji , Ye Wanhui , Yuan Zuoqiang , Wang Xugao 
Published: February 2023

AbstractDiversity–biomass relationships (DBRs) often vary with spatial scale in terrestrial ecosystems, but the mechanisms driving these scale‐dependent patterns remain unclear, especially for highly heterogeneous forest ecosystems. This study explores how mutualistic associations between trees and different mycorrhizal fungi, i.e., arbuscular mycorrhizal (AM) vs. ectomycorrhizal (EM) association, modulate scale‐dependent DBRs. We hypothesized that in soil‐heterogeneous forests with a mixture of AM and EM tree species, (i) AM and EM tree species would respond in contrasting ways (i.e., positively vs. negatively, respectively) to increasing soil fertility, (ii) AM tree dominance would contribute to higher tree diversity and EM tree dominance to greater standing biomass, and that as a result (iii) mycorrhizal associations would exert an overall negative effect on DBRs across spatial scales. To empirically test these hypotheses, we collected detailed tree distribution and soil information (e.g., nitrogen, phosphorus, organic matter, pH) from seven temperate and subtropical AM–EM mixed forest megaplots (16–50 ha). Using a spatial codispersion null model and structural equation modeling, we identified the relationships among AM or EM tree dominance, soil fertility, tree species diversity, and biomass and, thus, DBRs across 0.01‐ to 1‐ha scales. We found the first evidence overall supporting the three aforementioned hypotheses in these AM–EM mixed forests: (i) In most forests, with increasing soil fertility, tree communities changed from EM‐dominated to AM‐dominated; (ii) increasing AM tree dominance had an overall positive effect on tree diversity and a negative effect on biomass, even after controlling for soil fertility and number of trees. Together, (iii) the changes in mycorrhizal dominance along soil fertility gradients weakened the positive DBR observed at 0.01‐ to 0.04‐ha scales in nearly all forests and drove negative DBRs at 0.25‐ to 1‐ha scales in four out of seven forests. Hence, this study highlights a soil‐related mycorrhizal dominance mechanism that could partly explain why, in many natural forests, biodiversity–ecosystem functioning (BEF) relationships shift from positive to negative with increasing spatial scale.
Modeling the continua in the outcomes of biotic interactions
Authors: Gómez José María , Iriondo José María , Torres Pedro 
Published: February 2023

AbstractThe outcome of many ecological interactions lies somewhere along a continuum between pure positive and pure negative effects. Although the popularity of this idea has notoriously risen in the last decades, with the occurrence of continua in interaction outcomes invoked for a wide variety of interactions, the absence of a precise theoretical treatment has led to considerable inaccuracy and ambiguity in its treatment. We develop here a consumer‐resource model to explore the occurrence of continua. This model is based on the assumption that the distribution of individual interaction events includes both negative and positive immediate outcomes, with variable frequencies, for at least one of the interacting species. Our study shows that continua in interaction outcomes happen just by varying the sign and impact of individual events. The exact shape of the continua depends on the proportion of positive versus negative events and the relative magnitude of per‐capita interaction strengths. Our model shows that continua in interaction outcomes are a key property of most pairwise interactions and are originated from the variable roles played by the interacting partners. It constitutes a step forward in the paradigm change from discrete categorization of ecological interactions to a new perspective over a continuous space.
Stochasticity causes high β‐diversity and functional divergence of bacterial assemblages in closed systems
Authors: Le Moigne Alizée , Randegger Florian , Gupta Anubhav , Petchey Owen L. , Pernthaler Jakob 
Published: February 2023

AbstractStochasticity is a major cause of compositional β‐diversity in communities that develop under similar environmental conditions. Such communities may exhibit functional similarity due to sympatric taxa with equivalent metabolic capacities in the source assemblage. However, the redundancy of individual physiological traits may differ in the original source community, which in turn might lead to more or less pronounced variability of single functions among newly formed communities. We analyzed the degree of stochasticity during the primary assembly of bacterial communities originating from the same source and growing under identical conditions. We tested the links between community composition and functioning in parallel microcosms containing glucose and its dimer cellobiose. Bacteria from prefiltered lake water were diluted in artificial lake water and grown to the stationary phase. The resulting assemblages exhibited high compositional variability of taxa that were rare in the source communities. Simulations showed that the observed richness and incidence‐based β‐diversity could be reproduced by dispersal limitation, or by low dispersal rates associated with the ecological drift of the colonizers. Further null model analysis supported an important influence of stochasticity, as well as a synergy between dispersal limitation and both, heterogeneous and homogeneous selection. The communities functionally differed and the magnitude of functional variability depended on the substrate: more communities consumed glucose than cellobiose. However, there was no relationship between community structure and growth kinetics or substrate consumption. Thus, both structural and functional variability may be a consequence of stochastic processes during initial colonization in closed microbial communities.
Material legacies can degrade resilience: Structure‐retaining disturbances promote regime shifts on coral reefs
Authors: Kopecky Kai L. , Stier Adrian C. , Schmitt Russell J. , Holbrook Sally J. , Moeller Holly V. 
Published: February 2023

AbstractStanding dead structures of habitat‐forming organisms (e.g., dead trees, coral skeletons, oyster shells) killed by a disturbance are material legacies that can affect ecosystem recovery processes. Many ecosystems are subject to different types of disturbance that either remove biogenic structures or leave them intact. Here we used a mathematical model to quantify how the resilience of coral reef ecosystems may be differentially affected following structure‐removing and structure‐retaining disturbance events, focusing in particular on the potential for regime shifts from coral to macroalgae. We found that dead coral skeletons could substantially diminish coral resilience if they provided macroalgae refuge from herbivory, a key feedback associated with the recovery of coral populations. Our model shows that the material legacy of dead skeletons broadens the range of herbivore biomass over which coral and macroalgae states are bistable. Hence, material legacies can alter resilience by modifying the underlying relationship between a system driver (herbivory) and a state variable (coral cover).
Auditory predator cues decrease herbivore survival and plant damage
Authors: Lee Zachary A. , Cohen Caroline B. , Baranowski Alex K. , Berry Kristen N. , McGuire Maxwell R. , Pelletier Tyler S. , Peck Brendan P. , Blundell Jacqueline J. , Preisser Evan L. 
Published: February 2023

AbstractThe high fitness cost of predation selects prey capable of detecting risk cues and responding in ways that reduce their vulnerability. While the impacts of auditory predator cues have been extensively researched in vertebrate prey, much less is known about invertebrate species' responses and their potential to affect the wider food web. We exposed larvae of Spodoptera exigua, a slow‐moving and vulnerable herbivore hunted by aerial predators, to recordings of wasp buzzing (risk cue), mosquito buzzing (no‐risk cue), or a no‐sound control in both laboratory and field settings. In the laboratory, wasp buzzing (but not mosquito buzzing) reduced survival relative to the control; there was, however, no effect on time to or weight at pupation in survivors. In the field, wasp buzzing reduced caterpillar herbivory and increased plant biomass relative to the control treatment. In contrast, mosquito buzzing reduced herbivory less than wasp buzzing and had no effect on plant biomass. The fact that wasp cues evoked strong responses in both experiments, while mosquito buzzing generally did not, indicates that caterpillars were responding to predation risk rather than sound per se. Such auditory cues may have an important but largely unappreciated impacts on terrestrial invertebrate herbivores and their host plants.
An experimental analysis of density dependence in meadow voles: Within‐season and delayed effects
Authors: Edwards Phoebe D. , Boonstra Rudy , Oli Madan K. 
Published: February 2023

AbstractWild mammal populations exhibit a variety of dynamics, ranging from fairly stable with little change in population size over time to high‐amplitude cyclic or erratic fluctuations. A persistent question in population ecology is why populations fluctuate as they do. Answering this seemingly simple question has proven to be challenging. Broadly, density‐dependent feedback mechanisms should allow populations to grow at low density and slow or halt growth at high density. However, experimental tests of what demographic processes result in density‐dependent feedback and on what timescale have proven elusive. Here, we used replicated density perturbation experiments and capture‐mark‐recapture analyses to test density‐dependent population growth in populations of meadow voles (Microtus pennsylvanicus) during the summer breeding season by manipulating founding population density and observing the pattern of survival, reproduction, and population growth. High population density had no consistent effect on survival rates but generally negatively influenced recruitment and population growth rates. However, these density‐dependent effects varied within the breeding season and across years. Our study provides evidence that density‐dependent feedback mechanisms operate at finer time scales than previously believed and that process, additively with delayed year effects, is key to understanding multiyear population demography.
Implementation of HACCP in the production of Egyptian cheeses: A review
Authors: Farag Mohamed A. , Ashaolu Tolulope Joshua , Guirguis Hania , Khalifa Ibrahim 
Published: February 2023

AbstractSignificant difficulties about the function of Hazard Analysis and Critical Control Points (HACCP) in manufacture of three genuine varieties of Egyptian cheese, namely Domiati, Karish, and Ras's cheeses, are covered in this review. Benefits of implementing HACCP include complementing other quality management systems, improving food safety, making better use of resources, boosting productivity and quality, providing better security and lowering inspection rates, responding to issues quickly and effectively, and fostering international trade cooperation. The setting is important for the manufacturing, security, and quality control of cheese. A common household item across the world that is fermented dairy‐based and high in protein, calcium, amino acids, vitamins, phosphorus, and fat is cheese. Egypt consumes more cheese than any other country in North Africa, which is helped by the wide selection of cheeses on offer, includes soft, brined, salted, semi‐soft, and hard cheeses. Three illustrated graphics explain the manufacturing flow of each cheese with reference to critical control points determination were created using text that was obtained from the references that were accessible. As lists of dangers, important control limits, monitoring, and corrective measures for cheese manufacturing, three exemplary tables were equally given. These provide readers with a more thorough summary of all results.