bluuebunny/crossref_metadata_2025_split huggingface dataset:
Boreal and Lusitanian species display trophic niche variation in temperate waters
Authors: Amelot Morgane , Robert Marianne , Mouchet Maud , Kopp Dorothée 
Published: November 2023

AbstractClimate change has non‐linear impacts on species distributions and abundance that have cascading effects on ecosystem structure and function. Among them are shifts in trophic interactions within communities. Sites found at the interface between two or more biogeographical regions, where species with diverse thermal preferenda are assembled, are areas of strong interest to study the impact of climate change on communities' interactions. This study examined variation in trophic structure in the Celtic Sea, a temperate environment that hosts a mixture of cold‐affiliated Boreal species and warm‐affiliated Lusitanian species. Using carbon and nitrogen stable isotope ratios, trophic niche area, width, and position were investigated for 10 abundant and commercially important demersal fish species across space and time. In general, the niches of Boreal species appear to be contracting while those of Lusitanian species expand, although there are some fluctuations among species. These results provide evidence that trophic niches can undergo rapid modifications over short time periods (study duration: 2014–2021) and that this process may be conditioned by species thermal preferenda. Boreal species displayed spatial variation in trophic niche width and seem to be facing increased competition with Lusitanian species for food resources. These findings underscore the need to utilize indicators related to species trophic ecology to track the ecosystem alterations induced by climate change. Such indicators could reveal that the vulnerability of temperate ecosystems is currently being underestimated.
The dimensionality reductions of environmental variables have a significant effect on the performance of species distribution models
Authors: Zhang Hao‐Tian , Guo Wen‐Yong , Wang Wen‐Ting 
Published: November 2023

AbstractHow to effectively obtain species‐related low‐dimensional data from massive environmental variables has become an urgent problem for species distribution models (SDMs). In this study, we will explore whether dimensionality reduction on environmental variables can improve the predictive performance of SDMs. We first used two linear (i.e., principal component analysis (PCA) and independent components analysis) and two nonlinear (i.e., kernel principal component analysis (KPCA) and uniform manifold approximation and projection) dimensionality reduction techniques (DRTs) to reduce the dimensionality of high‐dimensional environmental data. Then, we established five SDMs based on the environmental variables of dimensionality reduction for 23 real plant species and nine virtual species, and compared the predictive performance of those with the SDMs based on the selected environmental variables through Pearson's correlation coefficient (PCC). In addition, we studied the effects of DRTs, model complexity, and sample size on the predictive performance of SDMs. The predictive performance of SDMs under DRTs other than KPCA is better than using PCC. And the predictive performance of SDMs using linear DRTs is better than using nonlinear DRTs. In addition, using DRTs to deal with environmental variables has no less impact on the predictive performance of SDMs than model complexity and sample size. When the model complexity is at the complex level, PCA can improve the predictive performance of SDMs the most by 2.55% compared with PCC. At the middle level of sample size, the PCA improved the predictive performance of SDMs by 2.68% compared with the PCC. Our study demonstrates that DRTs have a significant effect on the predictive performance of SDMs. Specifically, linear DRTs, especially PCA, are more effective at improving model predictive performance under relatively complex model complexity or large sample sizes.
The conversion of native savannah into pasturelands does not affect exclusively species diversity: Effects on physiological condition of a highly abundant dung beetle species
Authors: Correa César M. A. , da Silva Kalel Caetano , de Oliveira Pedro Lucas Moreira , Salomão Renato Portela 
Published: November 2023

AbstractDung beetles are efficient indicators to obtain responses regarding the effects of land use change on biodiversity. Although the biological consequences of Cerrado conversion into pasture have been observed at the assemblage scale, there are no cues regarding the effects of tropical savanna conversion into pasture on physiological condition of dung beetle individuals. In this study, we evaluated whether native and non‐native habitats in Cerrado affect the physiological condition and body traits of males and females of Phanaeus palaeno. The individuals were collected from a Cerrado fragment (sensu stricto) and an exotic pasture (Urochloa spp.). Physiological condition was assessed through the estimation of individuals' dry body mass, fat mass, and muscle mass. Body traits were estimated through individual body size and males' horn length. We did not find differences between dung beetle morphological traits between Cerrado and pastures. However, individuals collected in exotic pastures had lower dry mass and fat mass, but higher muscle mass, than in conserved Cerrado. Understanding how the land use change affects individuals' body condition is essential to maintain abundant and healthy populations of dung beetles in human‐modified landscapes. Although the estimation of physiological condition is logistically more complex than species body traits, future studies aiming to present complex and finer ecological responses of dung beetles should incorporate physiological data to their approaches.
Reductions in liver enzymes are associated with anti‐hyperglycaemic and anti‐obesity effects of tofogliflozin in people with type 2 diabetes: Post‐hoc analyses
Authors: Takamura Toshinari , Kaku Kohei , Yoshida Akihiro , Kusakabe Hiromi , Nakamura Hiroyuki , Suganami Hideki 
Published: November 2023

AbstractAimsHow the pathology of type 2 diabetes (T2D), including hyperglycaemia and obesity, affects liver enzymes has not been clinically demonstrated. Thus, we compared time courses of gamma‐glutamyltransferase (GGT) and alanine aminotransferase (ALT) with those of fasting plasma glucose (FPG) and body weight (BW) during treatment with the SGLT2 inhibitor tofogliflozin for T2D.Materials and MethodsWe post‐hoc analysed preexisting data on 1046 people with T2D administered tofogliflozin or placebo for 24 weeks in four tofogliflozin studies. First, time courses of percent changes in variables during the intervention were analysed using a mixed effect model to explore the similarity of the time courses and to evaluate time‐treatment interactions. Second, clinical factors related to the percent changes in GGT and ALT were clarified using multivariate analyses.ResultsGGT levels and FPG values rapidly and significantly decreased via tofogliflozin as early as week 4, with decreases maintained until week 24. Conversely, BW and ALT decreased progressively until week 24. Time courses of FPG (p = .365, time‐treatment interaction) and GGT (p = .510) reductions were parallel between tofogliflozin and placebo from weeks 4 to 24, while BW and ALT reductions (p < .001, respectively) were not. Reductions in GGT at week 24 were associated with reductions in FPG and BW at week 24, whereas ALT reductions were only associated with reductions in BW.ConclusionsReductions in GGT and ALT were associated with the anti‐hyperglycaemic and anti‐obesity effects of tofogliflozin, respectively, in people with T2D. Therefore, GGT and ALT may be surrogate markers for hyperglycaemia and obesity in T2D.
Association of anaemia on heart failure and left ventricular function: A bidirectional Mendelian randomization study
Authors: Ying Yuchen , Ye Jiachun , Yuan Zhechen , Cai Dihui 
Published: November 2023

AbstractAimsObservational studies have suggested that anaemia is associated with an increased risk of heart failure (HF). But the potential causal association is not clear. We aimed to investigate the association between anaemia and HF risk.Methods and resultsA Mendelian randomization (MR) analysis was performed to confirm the causal association of anaemia with the risk of HF and left ventricular structure and function. Furthermore, a reverse‐direction MR analyses was conducted to assess the causal effect of HF on anaemia. The MR analysis indicated that genetically predicted anaemia is associated with the increased risk of HF (meta: odd ratio (OR) = 1.12; 95% confidence interval (CI) [1.04, 1.20]; P = 0.002), and left ventricular mass index (β = 1.051; 95% CI [0.384, 1.718]; P = 0.002), left ventricular mass (β = 2.063; 95% CI [0.578, 3.547]; P = 0.006), left atrial minimum volume (β = 0.076; 95% CI [0.008, 0.143]; P = 0.028), and left atrial maximum volume (β = 0.090; 95% CI [0.023, 0.157]; P = 0.009). In the reverse‐direction MR analyses, we found that genetic susceptibility to HF was significantly associated with the increased risk of anaemia (meta: OR = 1.40; 95% CI [1.24, 1.59]; P = 1.79 × 10−7).ConclusionsThis MR study supports the genetic evidence that there is bidirectional causality between anaemia and the risk of HF as well as anaemia may cause left ventricular hypertrophy and enlargement of the left atrium. Considering the adverse causal effects between the two diseases, more attention should be paid to the prevention and treatment of anaemia in patients with HF.
Utilizing Baylis–Hillman Adducts Followed by Michael Addition/Elimination Reaction for the Synthesis of Unusual Conformationally Stable Molecules Governed by Aromatic Interactions
Authors: Prasad Sharma Vishal , Kumar Vipin , Sonker Priyanka , Yadav Priyanka , Singh Rashmi , Gnanasekaran Ramachandran , Kumar Tewari Ashish 
Published: November 2023

AbstractThe compounds under investigation sought a new approach to synthesis via the Baylis‐Hillman (B−H) and Michael addition reactions. The product formation‘s legitimacy was tested using a repeat reaction with many different nucleophiles. The additional stability of the product via aromatic π⋅⋅⋅π and C−H⋅⋅⋅π interactions may result in unexpected product formation in diverse reactions undertaken utilizing different starting materials. This study suggests that weak interaction not only provides selectivity during reactions but also modifies the result.
The role of stigma in health and functioning in chronic pain: Not just catastrophizing
Authors: Lavefjord Amani , Sundström F. T. A. , Buhrman M. , McCracken L. M. 
Published: November 2023

AbstractBackgroundPeople with chronic pain are frequently exposed to stigma, which is typically distressing and may lead to internal stigmatizing thoughts. The thought content associated with stigma has similarities to pain catastrophizing, although these concepts differ in that stigma is arguably more social in origin. Stigma can be measured by the Stigma Scale for Chronic Illness – 8‐item version (SSCI‐8). In this study, we first demonstrate the validity of this measure in Swedish. We then examine the role of stigma in the health and functioning of people with chronic pain, particularly beyond the role played by pain catastrophizing.MethodsAdult participants (N = 404) with chronic pain recruited online completed measures of pain, stigma, catastrophizing, pain interference, work and social adjustment and depression on two occasions.ResultsA one‐factor solution had an overall good model fit as long as residuals were allowed to covary, indicating some redundancy in the items. The SSCI‐8 demonstrated good internal consistency and moderate temporal stability, and SSCI‐8 scores demonstrated medium‐to‐large correlations with the measures of health and functioning. Furthermore, stigma was found to significantly contribute to explained variance in pain interference, work and social adjustment and depression, uniquely adding to the explained variance in these outcomes even after accounting for pain catastrophizing.ConclusionsThe SSCI‐8 provides an adequate measure to capture stigma experiences. Stigma is uniquely associated with pain‐related outcomes and should be further considered in pain research and clinical practice in the future.SignificanceThis study points to the importance of a social perspective on pain‐related outcomes. We may need to more fully appreciate the way that people with chronic pain are treated by both health care providers and others can have an impact on their well‐being. Potential negative impacts of stigmatizing responses to people with chronic pain are highlighted by the current results.
The aryl hydrocarbon receptor (AhR) activation mediates benzo(a)pyrene‐induced overexpression of AQP3 and Notch1 in HaCaT cells
Authors: Almendarez‐Reyna Claudia I. , de la Trinidad Chacón Carlos Gabriel , Ochoa‐Martínez Ángeles C. , Rico‐Guerrero Luis A. , Pérez‐Maldonado Iván N. 
Published: November 2023

AbstractThe aim of this study was twofold: (1) evaluate the effect of benzo[a]pyrene (BaP) on expression levels of AQP3 and Notch1 genes in HaCaT cells exposed “in vitro” and (2) investigate the possible biological role of assessed genes by bioinformatics methods. Cells were exposed to increasing concentrations of BaP (0.0–4.0 μM) for 1–4 days. After treatments, cell viability and expression levels of AhR, CYP1A1, AQP3, and Notch1 genes were evaluated. The possible biological role of assessed genes was evaluated using bioinformatics tools. Low cytotoxicity in HaCaT cells dosed with BaP was detected. A significant overexpression (p < .05) of CYP1A1, AQP3, and Notch1 was found in exposed HaCaT cells. The gene expression upregulation was dependent on AhR activation. The bioinformatics analysis showed that these genes were enriched in related cancer signaling pathways. The findings suggest that AQP3 and Notch1 are upregulated by AhR activation in HaCaT cells exposed to BaP.
Artificial sensory system based on memristive devices
Authors: Kwon Ju Young , Kim Ji Eun , Kim Jong Sung , Chun Suk Yeop , Soh Keunho , Yoon Jung Ho 
Published: November 2023

AbstractIn the biological nervous system, the integration and cooperation of parallel system of receptors, neurons, and synapses allow efficient detection and processing of intricate and disordered external information. Such systems acquire and process environmental data in real‐time, efficiently handling complex tasks with minimal energy consumption. Memristors can mimic typical biological receptors, neurons, and synapses by implementing key features of neuronal signal‐processing functions such as selective adaption in receptors, leaky integrate‐and‐fire in neurons, and synaptic plasticity in synapses. External stimuli are sensitively detected and filtered by “artificial receptors,” encoded into spike signals via “artificial neurons,” and integrated and stored through “artificial synapses.” The high operational speed, low power consumption, and superior scalability of memristive devices make their integration with high‐performance sensors a promising approach for creating integrated artificial sensory systems. These integrated systems can extract useful data from a large volume of raw data, facilitating real‐time detection and processing of environmental information. This review explores the recent advances in memristor‐based artificial sensory systems. The authors begin with the requirements of artificial sensory elements and then present an in‐depth review of such elements demonstrated by memristive devices. Finally, the major challenges and opportunities in the development of memristor‐based artificial sensory systems are discussed.
Flow resistance co‐efficient of meandering river in alluvial plain and its prediction using artificial neural network
Authors: Ahmed Sayed Sadulla , Ghosh Susmita , Barbhuiya Abdul Karim 
Published: November 2023

AbstractA proper estimation of flow resistance coefficient of river is essential for precise simulations of river hydraulics. In addition to the cross‐sectional geometry and hydraulic parameters, the alignment of the channel affects the flow resistance coefficient in case of meandering rivers. In the present study, a rigorous field study of 131 km along the Barak River was conducted to assess the influence of meandering on the flow resistance coefficient. The values of flow resistance co‐efficient were calculated using Chezy and Manning's equations with measured field data and the values from both are compared. However, the variation in the flow resistance co‐efficient along the channel calculated from Manning's equation is significantly less as it does not consider the undulation and meandering. Using these field data, an artificial neural network (ANN) model has been developed to predict the cross‐sectional averaged flow resistance for meandering river. The model considered the influence of relative curvature, depth of flow, bed particle size, Froude number and Reynolds number including water temperature for accurate predictions of flow resistance coefficient. The ANN model was tested and validated using 237 field data sample. The values of the statistical parameters indicate a very good fit to the training dataset with coefficient of determination (R2) = 0.9566 for training and good fit for testing with R2 = 0.8131. The developed ANN model has been compared with other model with the same data set to check its applicability.
Online ethnography of breastfeeding discussions in social networking sites for Hong Kong mothers
Authors: Wong Toma Chun Yip , Yeung Karene Hoi Ting , Khalikova Venera R. , Hui Lai Ling , Chow Ka Ming , Lau Esther Yuet Ying , Nelson E. Anthony S. 
Published: November 2023

AbstractWith the growth of social networking, parents are increasingly sharing their experiences and opinions or seeking help with childcare through online platforms. This study explored breastfeeding‐related topics that Hong Kong mothers raise on social networking sites and how other mothers respond; and how these sites could be a facilitator or barrier to breastfeeding. An online ethnographic approach was used to collect breastfeeding‐related discussions (posts and responses) among mothers from three sources: two closed moderated Facebook groups with more than 1000 members, and one open unmoderated forum (Baby Kingdom) (26 December 2021–26 May 2022). Posts not related to breastfeeding (e.g., about formula feeding only) were excluded. Data were collected by a nonparticipatory approach to avoid disrupting the dynamics of the groups. In total, 131 original posts and their 802 responses were collected, of which the common topics discussed were breastfeeding technique, breastfeeding‐related health issues, breastfeeding mothers returning to work, and COVID‐19 vaccination/infection during breastfeeding. The responses to the queries on breastfeeding technique and health issues in the closed groups were mostly about sharing breastfeeding knowledge and health information to provide timely emotional support and practical solutions. Although similar responses were observed in the open forum, sharing experiences in using formula milk were frequently observed in the responses to posts related to breastfeeding. Social networking sites could be facilitators and barriers to breastfeeding. The potential for infant formula promotion in open forums requires further monitoring and evaluation. Moderation and support from trained professionals or peers could be important.
Valorization of kidney bean (Phaseolus vulgaris L.) pod powder: Multifactorial optimization of gluten‐free cake
Authors: Dadalı Ceyda 
Published: November 2023

AbstractThe lifelong gluten‐free diet of celiac patients and gluten‐intolerant people prevents their balanced diet mainly due to starch‐rich products. The aim of this study is to determine optimum gluten‐free cake formulation having kidney bean (Phaseolus vulgaris L.) pod powder as fat replacer of up to 50% and rice flour replacer of up to 30% using multifactorial optimization approach. Central composite design was used to determine optimum formulation. The use of kidney beans in gluten‐free cake increased moisture, hardness, chewiness, L*, a*, b*, antioxidant activity, total phenolic content, and sensory evaluation scores (p < .05). The optimum gluten‐free cake is rich in protein (5.89%), phenolic compounds (0.51 mg GAE/g), antioxidant activity (1.93 μmol TE/g), and total dietary fiber (4.43%) with improved sensory properties. The optimum gluten‐free cake formulation prepared with kidney bean pod powder of 27.88% fat and 13.52% rice flour replacer provides higher specific volume, springiness, total phenolic content, antioxidant activity, and sensory analysis scores, and lower hardness and chewiness conditions. Gluten‐free cake containing kidney bean pod powder as fat and rice flour replacer at optimum ratio is a new healthier alternative with reduced fat content and improved nutritional and sensory properties for celiac patients and gluten‐intolerant people.
Why higher copayments for opioids did not reduce use among Medicare beneficiaries
Authors: Joyce Geoffrey , Zhou Bo , Kaestner Robert 
Published: November 2023

AbstractTo examine whether higher cost‐sharing deterred prescription opioid use. Medicare Part D claims from 2007 to 2016 for a 20% random sample of Medicare enrollees. We obtain estimates of the effect of cost‐sharing on prescription opioid use using ordinary least squares and instrumental variables methods. In both, we exploit the variation (change) in cost‐sharing within plans over time for a sample of beneficiaries who remain in the same plan. Focusing on changes in cost‐sharing within a plan for a constant sample of beneficiaries mitigates potential bias from plan selection and using a constant set of weights derived from use in year (t) eliminates changes in the cost‐sharing indexes due to (endogenous) consumer choice in year (t+1). Part D plans adopted benefit changes designed to reduce opioid use, including moving opioids to higher cost‐sharing tiers. Increasing plan copayments for hydrocodone or oxycodone was associated with reductions in plan‐paid claims and offsetting increases in cash claims. Widespread availability of low‐cost generics combined with the anti‐clawback provision in Part D mediated the effect of higher cost sharing to curb opioid use. As plans moved generic opioids to higher cost‐sharing tiers, beneficiaries simply paid cash prices and aggregate use remained largely unchanged. The anti‐clawback provision in Part D, intended to protect beneficiaries from price gouging, limited plans' ability to constrain opioid use through typical demand‐side measures such as increased cost‐sharing.