bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lateral lamina V projection neuron axon collaterals connect sensory processing across the dorsal horn of the mouse spinal cord
Authors: Browne Tyler J. , Smith Kelly M. , Gradwell Mark A. , Dayas Christopher V. , Callister Robert J. , Hughes David I. , Graham Brett A. 
Published: November 2024

AbstractSpinal projection neurons (PNs) are defined by long axons that travel from their origin in the spinal cord to the brain where they relay sensory information from the body. The existence and function of a substantial axon collateral network, also arising from PNs and remaining within the spinal cord, is less well appreciated. Here we use a retrograde viral transduction strategy to characterise a novel subpopulation of deep dorsal horn spinoparabrachial neurons. Brainbow assisted analysis confirmed that virally labelled PN cell bodies formed a discrete cell column in the lateral part of Lamina V (LVlat) and the adjoining white matter. These PNs exhibited large dendritic territories biased to regions lateral and ventral to the cell body column and extending considerable rostrocaudal distances. Optogenetic activation of LVLat PNs confirmed this population mediates widespread signalling within spinal cord circuits, including activation in the superficial dorsal horn. This signalling was also demonstrated with patch clamp recordings during LVLat PN photostimulation, with a range of direct and indirect connections identified and evidence of a postsynaptic population of inhibitory interneurons. Together, these findings confirm a substantial role for PNs in local spinal sensory processing, as well as relay of sensory signals to the brain.
Acclimation and size influence predation, growth, and survival of sexually produced Diploria labyrinthiformis used in restoration
Authors: Ladd Mark C. , Shantz Andrew A. , Harrell Cailin , Hayes Nicole K. , Gilliam David S. , Muller Erinn M. , O’Neil Keri L. , Reckenbeil Brian , Craig Zachary , Lirman Diego 
Published: November 2024

AbstractStony coral tissue loss disease (SCTLD) has swept through Florida reefs and caused mass mortality of numerous coral species. In the wake of these losses, efforts are underway to propagate coral species impacted by SCTLD and promote population recovery. However, numerous knowledge gaps must be addressed to effectively grow, outplant, and restore populations of the slower growing, massive species that were lost. Here, we used sexual recruits of Diploria labyrinthiformis spawned in captivity to understand how conditioning, coral size, and nutritional status at outplanting affect coral survivorship, growth, and susceptibility to predation. We found that ex situ conditioning with supplemental feeding increased coral growth rates, resulting in larger sized corals at the time of outplanting. In turn, these corals had higher growth rates in the field and a lower probability of being removed by predators than outplants that were conditioned in in situ nurseries. Additionally, we found that coral size was an important predictor of survivorship, suggesting that hastening the speed at which young corals grow and outplanting larger juveniles can improve restoration outcomes. Taken together, our results suggest that providing supplemental food to corals at ex situ facilities confers benefits that could help restore populations of massive coral species impacted by SCTLD.
Socioeconomic inequalities linked to the transitioning to neurocognitive disorders and mortality
Authors: Gireesh Aswathikutty , Sacker Amanda , McMunn Anne , Bhatt Rikesh , Cadar Dorina 
Published: November 2024

AbstractResearch on socioeconomic position (SEP) and mild neurocognitive impairment, considered a transient state between normal cognitive function and dementia is limited. The purpose of this study was to determine the role of SEP in transitioning between different cognitive states and mortality risk. Using nationally representative English data and utilising a multistate model association between SEP and the risk of transitioning from no cognitive impairment (NOCI) to Cognitive impairment no dementia (CIND), dementia and death were investigated. The potential reverse transition from CIND to NOCI was also explored. The probabilities of transitioning between cognitive states and time spent in each state differed significantly between those with lower and higher levels of SEP. Higher wealth was associated with a reverse transition from CIND to NOCI [HR = 1.56, CI (1.42,1.72)]. Socioeconomic advantage might protect against the progression to the early stages of neurocognitive disorders (CIND) and facilitate the potential reversion from mild cognitive impairment to a healthy cognitive state in later life. Lower levels of education affect the risk of mortality after the onset of dementia.
Optimizing resource utilization for large scale problems through architecture aware scheduling
Authors: Elsawwaf Ali M , Aly Gamal M , Faheem Hossam M , Fayez Mahmoud 
Published: November 2024

AbstractRapid development realms of parallel architectures and its heterogeneity have inspired researchers to invent new scheduling strategies to efficiently distribute workloads among these architectures in a way that may lead to better performance. This paper presents a comprehensive study on optimizing resource utilization for large-scale problems by employing architecture-aware scheduling techniques. We conducted a series of experiments to measure the execution times of various architectures with different problem sizes. These experiments have been conducted multiple times to minimize measurement variance. The findings from these experiments are utilized to develop a scheduling strategy that enables faster completion of larger data-parallel problems while maximizing resource utilization. The proposed approach makes performance enhancement with 16.7% for large data size. It has a significant impact on enhancing computational efficiency and reducing costs in high-performance computing environments.
Effect of explosives charges types on the jet characteristics, penetration performance and fragmentation patterns of shaped charges
Authors: Elshenawy Tamer , Abdo Gamal M. , Elbeih Ahmed 
Published: November 2024

AbstractDifferent explosive materials have been studied numerically and experimentally to assess the efficiency of a small diameter shaped charge in terms of produced jet characteristics and penetration depth into RHA steel targets. 26 different explosives have been simulated numerically using Autodyn hydrocode, whereas recommended explosives have been loaded into small diameter shaped charges by pressing technique and tested by static firing against RHA targets in order to validate the numerical calculations. The numerical analysis has presented an intensive global view about the variation of the shaped charge jets as a potential of the loaded explosive charge efficiencies. A successful trial has been performed to measure the shaped charge jet velocity using detonation velocity VOD 812 apparatus, where its measured value was only 3.6% different from the numerical one for HMX-V5 explosive. Besides, TITAN (L3) flash X-ray radiograph has also been implemented to explore the jet profile using the same explosive type and to measure its jet tip velocity, which has only 2.1% different from that estimated numerically. Extensive fragmentation analysis has been presented, which showed increase in both the fragment number and the fragment speed when the used explosive charge is of high detonation velocity. CL-20 explosive exhibited the largest jet tip velocity and its scaled collapse velocity was found to be 140% of TNT explosive. The calculated average fragment speed has been validated and the measured fragment speed has only 2.3% difference when compared to the SPH calculations.
An enhanced machine learning algorithm for type 2 diabetes prognosis with a detailed examination of Key correlates
Authors: Wang Xueyan , Shen Ping , Zhao Guoxu , Li Jiahang , Zhu Yanfei , Li Ying , Xu Hongna , Liu Jiaqi , Cui Rongjun 
Published: November 2024

AbstractThis study aimed to construct a high-performance prediction and diagnosis model for type 2 diabetic retinopathy (DR) and identify key correlates of DR. This study utilized a cross-sectional dataset of 3,000 patients from the People’s Liberation Army General Hospital in 2021. Logistic regression was used as the baseline model to compare the prediction performance of the machine learning model and the related factors. The recursive feature elimination cross-validation (RFECV) algorithm was used to select features. Four machine learning models, support vector machine (SVM), decision tree (DT), random forest (RF), and gradient boost decision tree (GBDT), were developed to predict DR. The models were optimized using grid search to determine hyperparameters, and the model with superior performance was selected. Shapley-additive explanations (SHAP) were used to analyze the important correlation factors of DR. Among the four machine learning models, the optimal model was GBDT, with predicted accuracy, precision, recall, F1-measure, and AUC values of 0.7883, 0.8299, 0.7539, 0.7901, and 0.8672, respectively. Six key correlates of DR were identified, including rapid micronutrient protein/creatinine measurement, 24-h micronutrient protein, fasting C-peptide, glycosylated hemoglobin, blood urea, and creatinine. The logistic model had 27 risk factors, with an AUC value of 0.8341. A superior prediction model was constructed that identified easily explainable key factors. The number of correlation factors was significantly lower compared to traditional statistical methods, leading to a more accurate prediction performance than the latter.
Reconciling the contrasting narratives on the environmental impact of large language models
Authors: Ren Shaolei , Tomlinson Bill , Black Rebecca W. , Torrance Andrew W. 
Published: November 2024

AbstractThe recent proliferation of large language models (LLMs) has led to divergent narratives about their environmental impacts. Some studies highlight the substantial carbon footprint of training and using LLMs, while others argue that LLMs can lead to more sustainable alternatives to current practices. We reconcile these narratives by presenting a comparative assessment of the environmental impact of LLMs vs. human labor, examining their relative efficiency across energy consumption, carbon emissions, water usage, and cost. Our findings reveal that, while LLMs have substantial environmental impacts, their relative impacts can be dramatically lower than human labor in the U.S. for the same output, with human-to-LLM ratios ranging from 40 to 150 for a typical LLM (Llama-3-70B) and from 1200 to 4400 for a lightweight LLM (Gemma-2B-it). While the human-to-LLM ratios are smaller with regard to human labor in India, these ratios are still between 3.4 and 16 for a typical LLM and between 130 and 1100 for a lightweight LLM. Despite the potential benefit of switching from humans to LLMs, economic factors may cause widespread adoption to lead to a new combination of human and LLM-driven work, rather than a simple substitution. Moreover, the growing size of LLMs may substantially increase their energy consumption and lower the human-to-LLM ratios, highlighting the need for further research to ensure the sustainability and efficiency of LLMs.
Risk factors for local recurrence following marginal mandibulectomy in gingival cancer
Authors: Nilsson Olof , von Beckerath Mathias , Knutsson Johan , Magnuson Anders , Landström Fredrik J. , Bark Rusana 
Published: November 2024

AbstractSurgery is the first line of treatment in gingival cancers of the mandible, and bone resection is necessary in the majority of cases. In the less extensive surgical option, marginal mandibulectomy (MM), the mandibular base is preserved. In contrast, in a segmental mandibulectomy (SM) the mandible is divided and the continuity is not preserved. If MM can be performed with comparable oncological results to SM, it is the preferred method. The aim of the present study was to identify preoperative predictors for local recurrence (LR), to support the selection of candidates for MM. Outcome measures were local recurrence free survival (LRFS) and disease specific survival (DSS). 67 patients treated with MM between 2008 and 2021 were included. Cox regression analyses of LR with hazard ratios and adjustments for postoperative radiotherapy, pathological T-stage (pT) and soft tissue margins were performed. 5-years LRFS was 63% (95% CI 46.9–75.5) and DSS 80.6% (95% CI 64.7–89.9). In conclusion we found that edentulous patients, more advanced pT-stage and positive soft tissue margins had increased risk for LR. Future studies of the correlation between cT and pT would be important to provide more robust preoperative support in the selection between MM and SM.
Prospects of iron solubilizing Bacillus species for improving growth and iron in maize (Zea mays L.) under axenic conditions
Authors: Ghazanfar Sammia , Hussain Azhar , Dar Abubakar , Ahmad Maqshoof , Anwar Hammad , Al Farraj Dunia A. , Rizwan Muhammad , Iqbal Rashid 
Published: November 2024

AbstractIron (Fe) deficiency in calcareous soils is a significant agricultural challenge, affecting crop productivity and nutritional quality. This study aimed to isolate, characterize, and evaluate Fe solubilizing rhizobacterial isolates from maize rhizosphere in calcareous soils as potential biofertilizers. Forty bacterial isolates coded as SG1, SG2, …, SG40 were isolated and screened for siderophore production, with ten showing significant Fe solubilizing capabilities. These isolates were further assessed for phosphate solubilization and exopolysaccharides production. The selected bacterial isolates were also screened under axenic conditions for their ability to improve maize growth. The isolates SG8, SG13, SG24, SG30 and SG33 significantly enhanced growth parameters of maize. Notably, SG30 showed highest increment in shoot length (58%), root length (54%), root fresh and dry biomass (67% and 76%), SPAD value (67%), relative water contents (69%), root surface area (61%), and Fe concentration in shoots (79%) as compared to control. The biochemical characterization of these strains showed that all these strains have capability to solubilize insoluble phosphorus, produce indole-3-acetic acid (IAA), and ammonia with catalase, urease and protease activity. Molecular identification through 16s rRNA gene sequencing confirmed high similarity (99.7–100%) of the selected isolates to various Bacillus species, including B. pyramidoids, B. firmicutes, and B. cereus. The study provides a strong base for developing eco-friendly, cost-effective biofertilizers to address Fe deficiency in crops and promote sustainable agriculture.
Combined plasma lens and rephasing stage for a laser wakefield accelerator
Authors: Gustafsson Cornelia , Löfquist Erik , Svendsen Kristoffer , Angella Andrea , Persson Anders , Lundh Olle 
Published: November 2024

AbstractElectrons from a laser wakefield accelerator have a limited energy gain due to dephasing and are prone to emittance growth, causing a large divergence. In this paper, we experimentally show that adjusting the plasma density profile can address both issues. Shock-assisted ionisation injection is used to produce 100 MeV quasi-monoenergetic electron bunches in the primary part of the accelerator. Downstream from the accelerator, a second, independently tuneable density region is added, which can be used to either boost the energy of the electron bunches or as a plasma lens for significant divergence reduction. An additional energy gain of 25% and a 40% divergence reduction are obtained. Theoretical models validate the effects.
Altered resting-state functional connectivity in a thalamo-cortico-cerebellar network in patients with schizophrenia
Authors: Forlim Caroline Garcia , Klock Leonie , Gallinat Jürgen , Kühn Simone 
Published: November 2024

AbstractThe diagnosis of schizophrenia is associated with a complex psychopathology related to disrupted brain circuitry causing a failure in coordinating information across brain sites with no consensus regarding the mechanisms. Although schizophrenia is well-studied, the great majority of studies investigated pre-selected ROIs or Seed-based connectivity. Whole brain ROI-wise studies that consider all ROIs available simultaneously are lacking. This technique helps understand large- and local-scale dynamics of information exchange across the whole brain. We investigated ROI-wise whole brain networks in 35 participants diagnosed with schizophrenia and 41 control participants. To unveil dysfunctions in brain subnetworks and to characterize network topology, we applied a statistical tool specially developed for network comparison called network-based statistic and graph theory. We observed a hyperconnected thalamo-cortico-cerebellar subnetwork in participants with schizophrenia; nodal analysis revealed higher number of thalamic connections. Our results suggest disruptions at the local level of the subnetwork rather than globally spread across the brain and driven by hyperconnectivity. Importantly, this subnetwork emerged from an exploratory analysis directly comparing ROI-wise whole brain network. This fact makes it an important contribution to the field as additional evidence, demonstrating the high reliability of malfunction in the local thalamo-cortico-cerebellar network.
Sick without signs. Subclinical infections reduce local movements, alter habitat selection, and cause demographic shifts
Authors: Grabow Marius , Ullmann Wiebke , Landgraf Conny , Sollmann Rahel , Scholz Carolin , Nathan Ran , Toledo Sivan , Lühken Renke , Fickel Joerns , Jeltsch Florian , Blaum Niels , Radchuk Viktoriia , Tiedemann Ralph , Kramer-Schadt Stephanie 
Published: November 2024

AbstractIn wildlife populations, parasites often go unnoticed, as infected animals appear asymptomatic. However, these infections can subtly alter behaviour. Field evidence of how these subclinical infections induce changes in movement behaviour is scarce in free-ranging animals, yet it may be crucial for zoonotic disease surveillance. We used an ultra-high-resolution tracking system (ATLAS) to monitor the movements of 60 free-ranging swallows every 8 seconds across four breeding seasons, resulting in over 1 million localizations. About 40% of these swallows were naturally infected with haemosporidian parasites. Here, we show that infected individuals had reduced foraging ranges, foraged in lower quality habitats, and faced a lowered survival probability, with an average reduction of 7.4%, albeit with some variation between species and years. This study highlights the impact of subclinical infections on movement behaviour and survival, emphasizing the importance of considering infection status in movement ecology. Our findings provide insights into individual variations in behaviour and previously unobservable local parasite transmission dynamics.
Regional mechanical dyssynchrony and shortened systole are present in people with Takotsubo syndrome
Authors: Reil Jan-Christian , Sequeira Vasco , Reil Gert-Hinrich , Steendijk Paul , Maack Christoph , Fink Thomas , Rawish Elias , Eitel Ingo , Stiermaier Thomas 
Published: November 2024

Abstract
Background:
Takotsubo syndrome is characterized by transient regional systolic dysfunction, left ventricular (LV) dilatation, and edema, often occurring without obstructive coronary artery disease. The mechanisms underlying this stress-induced condition, especially the role of mechanical dyssynchrony in affecting systolic function, remain poorly understood.

Methods:
In our study, we evaluated global LV function and mechanical dyssynchrony in 24 Takotsubo patients compared to 20 controls by analyzing pressure-volume loops and time-varying elastance. Additionally, we monitored changes in LV segmental volume and internal flow.

Results:
Here we show a significant reduction in global myocardial contractility and pronounced mechanical dyssynchrony in Takotsubo syndrome, particularly in the mid and apical LV segments, without disturbances in electrical conduction.

Conclusions:
Our findings reveal substantial mechanical dyssynchrony in Takotsubo patients, characterized by increased internal flow and a shortened systolic ejection time. This indicates a mechanical basis for the inefficient LV function in Takotsubo syndrome, independent of electrical conduction abnormalities.
The relationship between social order and crime in Nottingham, England
Authors: Varese Federico , Zeng Fanqi 
Published: November 2024

AbstractStudies of organized crime in cities have traditionally concentrated on the global south or ethnic enclaves and traditional mafia territories within the global north. Here this study turns its attention to governance-type organized crime in the English city of Nottingham, where the main protagonists are white and British born. It investigates whether such a gang can govern communities by reducing ordinary crimes. We conduct in-depth interviews with local officials and analyze a novel dataset of the public’s phone calls to the Nottingham police from 2012 to 2019, encompassing spatio-temporal information and police-labeled crime types. We identify Nottingham’s ward of Bestwood as the site of an entrenched, governance-type organized crime group, whereas its most similar ward, Bulwell, is not. Further comparative analyses indicate that certain ordinary crime rates are significantly lower in Bestwood than in Bulwell. We conclude that governance-type organized crime can emerge in a country with a high capacity to police and in a nonimmigrant, less affluent community. Our findings suggest that traditional explanations of the emergence of criminal governance in cities need to be revisited.
STAG2 loss in Ewing sarcoma alters enhancer-promoter contacts dependent and independent of EWS::FLI1
Authors: Giménez-Llorente Daniel , Cuadrado Ana , Andreu María José , Sanclemente-Alamán Inmaculada , Solé-Ferran Maria , Rodríguez-Corsino Miriam , Losada Ana 
Published: November 2024

AbstractCohesin complexes carrying STAG1 or STAG2 organize the genome into chromatin loops. STAG2 loss-of-function mutations promote metastasis in Ewing sarcoma, a pediatric cancer driven by the fusion transcription factor EWS::FLI1. We integrated transcriptomic data from patients and cellular models to identify a STAG2-dependent gene signature associated with worse prognosis. Subsequent genomic profiling and high-resolution chromatin interaction data from Capture Hi-C indicated that cohesin-STAG2 facilitates communication between EWS::FLI1-bound long GGAA repeats, presumably acting as neoenhancers, and their target promoters. Changes in CTCF-dependent chromatin contacts involving signature genes, unrelated to EWS::FLI1 binding, were also identified. STAG1 is unable to compensate for STAG2 loss and chromatin-bound cohesin is severely decreased, while levels of the processivity factor NIPBL remain unchanged, likely affecting DNA looping dynamics. These results illuminate how STAG2 loss modifies the chromatin interactome of Ewing sarcoma cells and provide a list of potential biomarkers and therapeutic targets.