bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization
Authors: Ciambella Jacopo , Ranzi Gianluca , Romeo Francesco 
Published: September 2024

AbstractThis paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57. An experimental dynamic testing campaign has been performed to obtain the modal properties of the structure, identified using operational modal analysis (OMA). The axial symmetry of the Palazzetto's dome, expected to exist in an idealized perfect dome, has been observed to occur experimentally by noting that rotated modes possessed nearly identical frequencies, evidenced by closely spaced double peaks in the power spectral density. This observation recognizes the remarkable precision of Nervi's construction methodology. A numerical 3D model has been developed by relying on detailed information about the structure gathered from various sources, including archival documents, on‐site testing, and surveying. The model has been calibrated by means of modal updating based on the experimental measurements collected in this study. The reconstruction of the dome using laser‐scanning and aerophotogrammetry has revealed a slight asymmetry in its thickness distribution (and consequently its mass distribution) that, when incorporated in the numerical model, has been shown to contribute to the experimentally observed frequency split. It is expected that, by tracking these closely spaced frequencies on top of the typical variations of natural frequencies in a health monitoring approach, further insight might be gained into the detection of possible damages and/or degradation of the structure and its components.
Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands
Authors: Sanz Ernesto , Almeida‐Ñaulay Andrés F. , Díaz‐Ambrona Carlos G. H. , Mínguez Sergio Zubelzu , Tarquis Ana M. 
Published: September 2024

AbstractUnderstanding the dynamics of the soil–vegetation–atmosphere (SVA) system, particularly in arid and semiarid regions, remains challenging due to its intricate and interdependent nature. This system creates problems for rangeland administration, such as insurance and risk management. This paper focuses on the complex interactions within the SVA system, particularly on rangeland ecosystems in Spain's semiarid and arid regions. By employing multifractal detrended cross‐correlation analysis (MFCCA), we explore the joint behavior of key variables, including precipitation (PCP), evapotranspiration (ETP), aridity index (Arid. I.), soil water availability (SWA), biomass (Bio), and normalized difference vegetation index (NDVI). Analyzing a 20‐year data series from Madrid and Almeria provinces, we reveal distinct patterns in the studied variables’ persistence, multifractality, and asymmetry. Notably, the differences in the generalized Hurst exponents ((q)) between Madrid and Almeria for SWA with NDVI, SWA with Bio, and NDVI with Bio underscore distinct interactions in these regions. Moreover, multifractal analyses unveil differences in the complexity of joint variables’ behaviors in the two regions. Almeria exhibits higher multifractality across variables, indicating more complex and variable environmental interactions, likely due to its more arid conditions. These findings suggest that Almeria has more sensitivity to changes, requiring adaptive management strategies, while in Madrid, water availability and related variables play a more dominant role in driving vegetation dynamics. These findings shed light through MFCCA on the nuanced dynamics of rangeland ecosystems in semiarid and arid regions, emphasizing the importance of considering complexity‐based approaches to understand the intricate interplay among key variables in the SVA system.
Sonification of Genomic Data to Represent Genetic Load in Zoo Populations
Authors: Martin Edward J. , Speak Samuel A. , Urban Lara , Morales Hernán E. , van Oosterhout Cock 
Published: September 2024

ABSTRACTMaintaining a diverse gene pool is important in the captive management of zoo populations, especially in endangered species such as the pink pigeon (Nesoenas mayeri). However, due to the limited number of breeding individuals and relaxed natural selection, the loss of variation and accumulation of harmful variants is inevitable. Inbreeding results in a loss of fitness (i.e., inbreeding depression), principally because related parents are more likely to transmit a copy of the same recessive deleterious genetic variant to their offspring. Genomics‐informed captive breeding can manage harmful variants by artificial selection, reducing the genetic load by avoiding the inheritance of two copies of the same harmful variant. To explain this concept in an interactive way to zoo visitors, we developed a sonification game to represent the fitness impacts of harmful variants by detuning notes in a familiar musical melody (i.e., Beethoven's Für Elise). Conceptually, zoo visitors play a game aiming to create the most optimal pink pigeon offspring in terms of inbreeding depression. They select virtual crosses between pink pigeon individuals and listen for the detuning of the melody, which represents the realised load of the resultant offspring. Here we present the sonification algorithm and the results of an online survey to see whether participants could identify the most and least optimal offspring from three potential pink pigeon offspring. Of our 98 respondents, 85 (86.7%) correctly identified the least optimal offspring, 73 (74.5%) correctly identified the most optimal, and 62 (63.3%) identified both the most and least optimal offspring using only the sonification.
The social life of Drosophila melanogaster
Authors: Billeter J- C. , Bailly T. P. M. , Kohlmeier P. 
Published: September 2024

AbstractIn this review, we explore the social behavior of the fruit fly Drosophila melanogaster, integrating mechanistic, ecological and evolutionary perspectives. Despite its status as a major laboratory model organism, D. melanogaster’s social life remains generally underappreciated by biologists. Adult flies attract others to food sources through pheromone deposition, leading to group formation. Within these groups, males engage in competitive reproductive behaviors while females adopt complex mating patterns and lay eggs communally. Both sexes adapt their reproductive behaviors to early as well as current social experience. Communal egg-laying by females promotes larval group formation, with larvae cooperating to dig tunnels for protection and breathing while feeding. Aggregation is also visible at the pupal stage, suggesting a social dimension to the entire life cycle of this species. We examine the competitive and cooperative behaviors of D. melanogaster, considering the ecological context (resource distribution, predation, parasitism pressures, and reproductive strategies) that influences these social interactions. We also discuss how individual behavior and physiology varies with group size and diversity, potentially as an adaptation to the costs and benefits of being in a group. This review underscores the potential of fruit flies in advancing research on social interactions and dynamics, demonstrating their usefulness for the fields of sociality, evolution and social neurosciences.
An inherited genetic variant of the CEP72 gene is associated with the development of vincristine-induced peripheral neuropathy in female patients with aggressive B-cell lymphoma
Authors: Christofyllakis Konstantinos , Kaddu-Mulindwa Dominic , Lesan Vadim , Rixecker Torben , Kos Igor Age , Held Gerhard , Regitz Evi , Pfreundschuh Michael , Bittenbring Joerg Thomas , Thurner Lorenz , Poeschel Viola , Ziepert Marita , Altmann Bettina , Bewarder Moritz 
Published: September 2024

AbstractVincristine-induced peripheral neuropathy (VIPN) is an adverse effect of regimens used for the treatment of aggressive B-cell non-Hodgkin lymphoma (B-NHL). A single-nucleotide polymorphism (SNP) in the promotor region of the CEP72 gene has been identified as risk factor for the development of VIPN in children. To validate these results in adults we aimed to determine the association of the high-risk CEP72 (rs924607 TT genotype) with the occurrence and severity of VIPN. Analysis of SNP rs924607 (TT, CC or CT) was performed in all enrolled patients with available blood samples with a TaqMan genotyping assay. Rates and grades of VIPN were assessed prospectively as part of the RICOVER-60 trial. CEP72 genotype could be assessed in 519 patients. VIPN data was available for 499/519 patients who were included in the final analysis. 286 (57%) patients developed VIPN of any grade during treatment. Grade 2–4 VIPN occurred in 33% (166/499) of patients. The high-risk CEP72 TT genotype at rs924607 was identified in 97/499 (19%) patients. The TT genotype was not correlated with VIPN in the overall study population compared to patients with either CC or CT genotypes (p = 0.748). However, in the subgroup of female patients, the TT genotype was associated with increased occurrence of any-grade VIPN as well as grade 2–4 VIPN as compared to patients with either CC or CT genotypes (p = 0.016 and p = 0.020, respectively). Thus, the SNP rs924607 in the CEP72 gene is associated with increased VIPN incidence in female patients with aggressive B-NHL treated with CHOP chemotherapy. Trial registration ClinicalTrials.gov identifier: NCT00052936, submission date: 2005-06-23, EudraCT Number: 2010-019587-36.
Multivariate bias correction and downscaling of climate models with trend-preserving deep learning
Authors: Wang Fang , Tian Di 
Published: September 2024

AbstractGlobal climate models (GCMs) and Earth system models (ESMs) exhibit biases, with resolutions too coarse to capture local variability for fine-scale, reliable drought and climate impact assessment. However, conventional bias correction approaches may cause implausible climate change signals due to unrealistic representations of spatial and intervariable dependences. While purely data-driven deep learning has achieved significant progress in improving climate and earth system simulations and predictions, they cannot reliably learn the circumstances (e.g., extremes) that are largely unseen in historical climate but likely becoming more frequent in the future climate (i.e., climate non-stationarity). This study shows an integrated trend-preserving deep learning approach that can address the spatial and intervariable dependences and climate non-stationarity issues for downscaling and bias correcting GCMs/ESMs. Here we combine the super-resolution deep residual network (SRDRN) with the trend-preserving quantile delta mapping (QDM) to downscale and bias correct six primary climate variables at once (including daily precipitation, maximum temperature, minimum temperature, relative humidity, solar radiation, and wind speed) from five state-of-the-art GCMs/ESMs in the Coupled Model Intercomparison Project Phase 6 (CMIP6). We found that the SRDRN-QDM approach greatly reduced GCMs/ESMs biases in spatial and intervariable dependences while significantly better-reducing biases in extremes compared to deep learning. The estimated drought based on the six bias-corrected and downscaled variables captured the observed drought intensity and frequency, which outperformed state-of-the-art multivariate bias correction approaches, demonstrating its capability for correcting GCMs/ESMs biases in spatial and multivariable dependences and extremes.
Are there interindividual differences in the reactive hypoglycaemia response to breakfast? A replicate crossover trial
Authors: Gonzalez Javier T. , Lolli Lorenzo , Veasey Rachel C. , Rumbold Penny L. S. , Betts James A. , Atkinson Greg , Stevenson Emma J. 
Published: September 2024

AbstractBackgroundFollowing consumption of a meal, circulating glucose concentrations can rise and then fall briefly below the basal/fasting concentrations. This phenomenon is known as reactive hypoglycaemia but to date no researcher has explored potential inter-individual differences in response to meal consumption.ObjectiveWe conducted a secondary analysis of existing data to examine inter-individual variability of reactive hypoglycaemia in response to breakfast consumption.MethodsUsing a replicate crossover design, 12 healthy, physically active men (age: 18–30 y, body mass index: 22.1 to 28.0 kg⋅m− 2) completed two identical control (continued overnight fasting) and two breakfast (444 kcal; 60% carbohydrate, 17% protein, 23% fat) conditions in randomised sequences. Blood glucose and lactate concentrations, serum insulin and non-esterified fatty acid concentrations, whole-body energy expenditure, carbohydrate and fat oxidation rates, and appetite ratings were determined before and 2 h after the interventions. Inter-individual differences were explored using Pearson’s product-moment correlations between the first and second replicates of the fasting-adjusted breakfast response. Within-participant covariate-adjusted linear mixed models and a random-effects meta-analytical approach were used to quantify participant-by-condition interactions.ResultsBreakfast consumption lowered 2-h blood glucose by 0.44 mmol/L (95%CI: 0.76 to 0.12 mmol/L) and serum NEFA concentrations, whilst increasing blood lactate and serum insulin concentrations (allp < 0.01). Large, positive correlations were observed between the first and second replicates of the fasting-adjusted insulin, lactate, hunger, and satisfaction responses to breakfast consumption (allr > 0.5, 90%CI ranged from 0.03 to 0.91). The participant-by-condition interaction response variability (SD) for serum insulin concentration was 11 pmol/L (95%CI: 5 to 16 pmol/L), which was consistent with the τ-statistic from the random-effects meta-analysis (11.7 pmol/L, 95%CI 7.0 to 22.2 pmol/L) whereas effects were unclear for other outcome variables (e.g., τ-statistic value for glucose: 0 mmol/L, 95%CI 0.0 to 0.5 mmol/L).ConclusionsDespite observing reactive hypoglycaemia at the group level, we were unable to detect any meaningful inter-individual variability of the reactive hypoglycaemia response to breakfast. There was, however, evidence that 2-h insulin responses to breakfast display meaningful inter-individual variability, which may be explained by relative carbohydrate dose ingested and variation in insulin sensitivity of participants.
Role of midline raphe in compartmental surgery for squamous cell carcinoma of the tongue
Authors: Alberto Grammatica , Marco Ravanelli , Michele Tomasoni , Carlo Conti , Aurora Pinacoli , Anna Bozzola , Davide Farina , Davide Mattavelli , Cesare Piazza 
Published: September 2024

Abstract

Purpose
In the present study, we investigated how tumor distance from midline (TDFM) and depth of invasion (DOI) may affect survival outcomes after compartmental tongue surgery (CTS) for oral tongue squamous cell carcinoma (OTSCC).

Methods
A retrospective series of cT2-T3 OTSCC treated with upfront CTS at our Department from 2010 to 2021 was evaluated. Radiological and pathological DOI and TDFM were correlated. The main outcomes were overall (OS) and loco-regional recurrence free survival (LRRFS). The linear relationship between DOI and TDFM with 2-year OS and LRRFS was tested. Survival estimates were obtained by the Kaplan-Meier method. Univariate analysis was performed for variables of interest, and results expressed in terms of hazard ratios and 95% confidence intervals.

Results
A total of 64 patients underwent CTS and neck dissection. No significant difference was found between pathological (pDOI) and radiological DOI (rDOI) (p = 0.321) or between pathological (pTDFM) and radiological TDFM (p = 0.435). Two- and 5-year OS and LRRFS were 85.7% and 70.4%, 84.3% and 76.1%, respectively. A linear and significant relationship with OS (p = 0.020) and LRRFS (p = 0.013) was found for pDOI; although linear, the relationship between pTDFM was not statistically significant for either survival outcomes. Once categorized, the ideal cut-off for pDOI according to OS was set at 10 mm (p = 0.023).

Conclusion
In patients undergoing CTS for primary OTSCC, magnetic resonance-derived rDOI represents an accurate estimate of pDOI, In contrast, TDFM was not associated with OS suggesting that the median raphe is a safe deep margin for CTS.

protocol n.
BS/231,009 retrospectively registered.
Apolipoproteins, lipids, lipid-lowering drugs and risk of amyotrophic lateral sclerosis and frontotemporal dementia: a meta-analysis and Mendelian randomisation study
Authors: Chalitsios Christos V. , Ley Harriet , Gao Jiali , Turner Martin R. , Thompson Alexander G. 
Published: September 2024

Abstract
Background
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) have clinical, pathological and genetic overlapping. Lipid pathways are implicated in ALS. This study examined the effect of blood lipid levels on ALS, FTD risk, and survival in ALS.

Methods
A systematic review and meta-analysis of high and low-density lipoprotein cholesterol (HDL-c and LDL-c), total cholesterol, triglycerides, apolipoproteins B and A1 levels with ALS was performed. Two-sample Mendelian randomisation (MR) analysis sought the causal effects of these exposures on ALS, FTD, and survival in ALS. The effect of lipid-lowering drugs was also examined using genetic proxies for targets of lipid-lowering medications.

Results
Three cohort studies met the inclusion criteria for meta-analysis. Meta-analysis indicated an association between higher LDL-c (HRper mmol/L = 1.07, 95%CI:1.02–1.12; $${I}^{2}$$

I

2

=18%) and lower HDL-c (HRper mmol/L = 0.83, 95%CI:0.74–0.94; $${I}^{2}$$

I

2

=0%) with an increased risk of ALS. MR suggested causal effects of higher LDL-c (ORIVW = 1.085, 95%:CI 1.008–1.168, pFDR = 0.0406), total cholesterol (ORIVW = 1.081, 95%:CI 1.013–1.154, pFDR = 0.0458) and apolipoprotein B (ORIVW = 1.104, 95%:CI 1.041–1.171, pFDR = 0.0061) increasing ALS risk, and higher apolipoprotein B level increasing FTD risk (ORIVW = 1.424, 95%CI 1.072–1.829, pFDR = 0.0382). Reducing LDL-c through APOB inhibition was associated with lower ALS (ORIVW = 0.84, 95%CI 0.759–0.929, pFDR = 0.00275) and FTD risk (ORIVW = 0.581, 95%CI 0.387–0.874, pFDR = 0.0362).

Conclusion
These data support the influence of LDL-c and total cholesterol on ALS risk and apolipoprotein B on the risk of ALS and FTD. Potential APOB inhibition might decrease the risk of sporadic ALS and FTD. Further work in monogenic forms of ALS and FTD is necessary to determine whether blood lipids influence penetrance and phenotype.
Taylor Swift does not boost face recognition in reaction time-based Concealed Information Test: investigating target-familiarity effects
Authors: Kohn Lukic Laure Z. , Möck Nele , Verschuere Bruno , Sauerland Melanie 
Published: September 2024

AbstractEyewitness identifications from lineups are prone to error. More indirect identification procedures, such as the reaction-time based Concealed Information Test (RT-CIT) could be a viable alternative to lineups. The RT-CIT uses response times to assess facial familiarity. Theory and initial evidence with autobiographical stimuli suggests that the accuracy of RT-CIT can be augmented when participants’ reliance on familiarity-based responding increases. We tested this assumption in two pre-registered experiments with 173 participants. Participants witnessed a mock crime. In the subsequent RT-CIT protocol, participants reacted to probe faces from the mock crime video, to irrelevant faces, and to target faces that required a unique response. Targets were either unknown people or were well-known celebrities (e.g., Taylor Swift). As expected, reaction times were longer to probes than to irrelevants in all conditions, indicating a CIT effect. Contrasting our pre-registered predictions, the CIT effect was not larger in the familiar condition (Experiment 1: unfamiliar targets: d = 0.77 vs. celebrity targets: d = 0.24; Experiment 2: unfamiliar targets: d = 1.09 vs. celebrity targets: d = 0.79). This suggests that familiar targets did not increase the validity of the RT-CIT in diagnosing concealed face recognition. A potential lack of saliency of the familiar targets might explain these unexpected findings. Of note, we did find medium to large effect sizes overall, speaking to the potential of diagnosing face recognition with the RT-CIT.
Colonization of mudflat substrate by microarthropods: the role of distance, inundation frequency and body size
Authors: Haque Md Ekramul , Rinke Maria , Chen Ting-Wen , Maraun Mark , Scheu Stefan 
Published: September 2024

AbstractSalt marshes represent a unique ecosystem at the marine-terrestrial boundary of shallow protected coastlines. Microarthropods form an essential component of soil food webs, but how they colonize new intertidal habitats is little understood. By establishing two experimental systems without animals, we investigated microarthropod colonization (1) at the seashore from the pioneer zone to the lower and upper salt marsh and (2) at the same tidal height on artificial islands 500 m from the seashore. Potential source populations of microarthropods in the respective zones were also investigated. Colonization of microarthropods after 5 years was consistently faster on the seashore than on the artificial islands. Collembola and Mesostigmata colonized all the zones both on the seashore and on the artificial islands, with colonization being faster in the upper salt marsh and in the pioneer zone than in the lower salt marsh. Oribatida colonized the new habitats on the seashore, but only little on the artificial islands. Variations in species composition were more pronounced between salt marsh zones than between experimental systems, indicating that local environmental conditions (i.e., inundation frequency) are more important for the assembly of microarthropod communities than the distance from source populations (i.e., dispersal processes). Variations in community body size of Oribatida and Mesostigmata indicated environmental filtering of traits, with smaller species suffering from frequent inundations. Notably, Mesostigmata most successfully colonized the new habitats across salt marsh zones on both systems. Overall, the results document major mechanisms of colonization of intertidal habitats by microarthropods with different life histories and feeding strategies.