bluuebunny/crossref_metadata_2025_split huggingface dataset:
Routing Problems with Electric and Autonomous Vehicles: Review and Potential for Future Research
Authors: Stamadianos Themistoklis , Kyriakakis Nikolaos A. , Marinaki Magdalene , Marinakis Yannis 
Published: May 2023

AbstractThe transportation sector has undergone a major transformation in the past few years with the shift to electric mobility and the introduction of new, promising types of vehicles. Sustainability is the driving force of this revolution, but, these changes are expected to greatly impact the space of logistics operations. Electric vans have been in the market for a few years already, and they are comparable to gas-powered vehicles in certain applications; however, they are not the only ones with great potential. Drones and ground robots are two new types of vehicles, the characteristics of which offer remarkable opportunities in supply chains. Nonetheless, theoretical research on logistics operations with the abovementioned vehicles has been distant from reality. This research aims to help researchers explore the untapped potential of electric vehicles. To achieve this, a thorough look into their technical aspects is provided, to determine the key elements that distinguish them, make a comparison to the existing literature, and identify the research gap. Due to the increased complexity and the sensitivity of these vehicles to externalities and uncertainties in general, research should address and explore four major elements of these novel supply chains, energy consumption, new vehicle types, dynamic environment, and communication between vehicles.
The plasmonic behaviours of gold nanoparticles with different thiol (n = 6, 10, 12) capping agents
Authors: Amos Olusegun , Mehl Georg. H. , Pashameah Rami Adel 
Published: May 2023

AbstractThe intense absorbance and scattering of incident light at the surface plasmon resonance wavelength of gold nanoparticles (AuNPs) is of paramount importance in its various and diverse applications. Being governed by their morphologies and surface chemistry, the optical property of AuNPs can be tuned to suit variety of applications by careful and systematic engineering of the particle surface. Among other variables, the nature of the ligands or capping agents employed and their concentrations play vital roles. Three different alkanethiols, namely 1-dodecanethiol (DDT), 1-decanethiol (DT) and 1-hexanethiol (HT) were investigated as capping agents in different concentration of gold/thiol ([Au]/[Thiol]) ratios of 7:1, 5:1, 3:1, 1:1, 1:3 and 1:5. First, the AuNPs with average particle sizes of 2 nm and characterised by 1H NMR, UV–visible, and TEM. The 1H NMR confirmed the capping of gold nanoparticles by the thiol. The TEM image confirmed the monodispersity of the nanoparticles with average size distributions of 2.4 nm, and plasmon absorption wavelength peaks at 505 nm was confirmed by the UV. There were variations in the values of the plasmonic peaks with the nature and concentrations of the capping agents.
Relationship Prediction in a Knowledge Graph Embedding Model of the Illicit Antiquities Trade
Authors: Graham Shawn , Yates Donna , El-Roby Ahmed , Brousseau Chantal , Ellens Jonah , McDermott Callum 
Published: May 2023

ABSTRACTThe transnational networks of the illicit and illegal antiquities trade are hard to perceive. We suggest representing the trade as a knowledge graph with multiple kinds of relationships that can be transformed by a neural architecture into a “knowledge graph embedding model.” The result is that the vectorization of the knowledge represented in the graph can be queried for missing “knowledge” of the trade by virtue of the various entities’ proximity in the multidimensional embedding space. In this article, we build a knowledge graph about the antiquities trade using a semantic annotation tool, drawing on the series of articles in the Trafficking Culture Project's online encyclopedia. We then use the AmpliGraph package, a series of tools for supervised machine learning (Costabello et al. 2019) to turn the graph into a knowledge graph embedding model. We query the model to predict new hypotheses and to cluster actors in the trade. The model suggests connections between actors and institutions hitherto unsuspected and not otherwise present in the original knowledge graph. This approach could hold enormous potential for illuminating the hidden corners of the illicit antiquities trade. The same method could be applied to other kinds of archaeological knowledge.
Resting-state network analysis of suicide attempt history in the UK Biobank
Authors: Thompson Matthew F. , Ghahramanlou-Holloway Marjan , Murphy Mikela A. , Perera Kanchana U. , Benca-Bachman Chelsie , Palmer Rohan H. C. , Gray Joshua C. 
Published: May 2023

AbstractBackgroundPrior research has identified altered brain structure and function in individuals at risk for self-directed violence thoughts and behaviors. However, these studies have largely utilized healthy controls and findings have been inconsistent. Thus, this study examined differences in resting-state functional network connectivity among individuals with lifetime suicide attempt(s) v. lifetime self-directed violence thoughts alone.MethodsUsing data from the UK Biobank, this study utilized a series of linear regressions to compare individuals with lifetime suicide attempt(s) (n = 566) v. lifetime self-directed violence thoughts alone (n = 3447) on within- and between- network resting-state functional connectivity subnetworks.ResultsThere were no significant between-group differences for between-network, within-network, or whole-brain functional connectivity after adjusting for age, sex, ethnicity, and body mass index and performing statistical corrections for multiple comparisons. Resting-state network measures may not differentiate between individuals with lifetime suicide attempt(s) and lifetime self-directed violence thoughts alone.ConclusionsNull findings diverge from results reported in smaller neuroimaging studies of suicide risk, but are consistent with null findings in other large-scale studies and meta-analyses. Strengths of the study include its large sample size and stringent control group. Future research on a wider array of imaging, genetic, and psychosocial risk factors can clarify relative contributions of individual and combined variables to suicide risk and inform scientific understanding of ideation-to-action framework.
Neuromental health aspects in adults with CHD after cardiopulmonary bypass intervention during childhood
Authors: Remmele Julia , Pringsheim Milka , Nagdyman Nicole , Oberhoffer-Fritz Renate , Ewert Peter 
Published: May 2023

AbstractObjective:It is often assumed, that adult patients with CHD (ACHD) have impairments regarding their cognitive function (CF) and health-related quality of life. In particular, it seems reasonable to assume that cyanosis may have a potential impact on CF as well as surgical or drug treatment into adulthood. This study assesses neuromental health aspects such as CF and health-related quality of life in ACHD patients.Methods:Seventy-eight ACHD patients (female n = 39 (50%); 34.1 ± 12.9 years; cyanotic CHD n = 49 (62.8%) with a cyanosis duration of 159.8 ± 196.2 month) who underwent open heart surgery as first intervention were asked to participate during routinely follow-up in 2018. Wechsler Intelligence Scale IV was used for CF and the Short Form 36 Health Survey to assess health-related quality of life.Results:Intelligence quotient measures showed significant differences comparing never cyanotic and with a cyanotic phase in verbal comprehension (p = 0.013). There was no association of CF with cyanosis duration, number of surgery or catheter, CHD severity, and time of first surgery. The group of early surgery showed significantly better results in physical function (p = 0.040) of health-related quality of life, and in comparison with their assigned reference, both groups showed significantly reduced results in all domains except in bodily pain and mental health. Full-Scale intelligence quotient correlates with physical function of health-related quality of life.Conclusions:The results show normal CF in ACHD. Health-related quality of life was weak in comparison with the reference. There is a need to improve the well-being of our ACHD with structured programmes, including physical activity programmes. This growing ACHD population should be focused in order of their needs, medical ones on one hand and on the other hand psychosocial matters.
Improving semantic coverage of data-to-text generation model using dynamic memory networks
Authors: Seifossadat Elham , Sameti Hossein 
Published: May 2023

AbstractThis paper proposes a sequence-to-sequence model for data-to-text generation, called DM-NLG, to generate a natural language text from structured nonlinguistic input. Specifically, by adding a dynamic memory module to the attention-based sequence-to-sequence model, it can store the information that leads to generate previous output words and use it to generate the next word. In this way, the decoder part of the model is aware of all previous decisions, and as a result, the generation of duplicate words or incomplete semantic concepts is prevented. To improve the generated sentences quality by the DM-NLG decoder, a postprocessing step is performed using the pretrained language models. To prove the effectiveness of the DM-NLG model, we performed experiments on five different datasets and observed that our proposed model is able to reduce the slot error rate rate by 50% and improve the BLEU by 10%, compared to the state-of-the-art models.
Short Warm Distribution Tails Accelerate the Increase of Humid‐Heat Extremes Under Global Warming
Authors: Bekris Yianna , Loikith Paul C. , Neelin J. David 
Published: May 2023

AbstractHumid‐heat extremes threaten human health and are increasing in frequency with global warming, so elucidating factors affecting their rate of change is critical. We investigate the role of wet‐bulb temperature (TW) frequency distribution tail shape on the rate of increase in extreme TW threshold exceedances under 2°C global warming. Results indicate that non‐Gaussian TW distribution tails are common worldwide across extensive, spatially coherent regions. More rapid increases in the number of days exceeding the historical 95th percentile are projected in locations with shorter‐than‐Gaussian warm side tails. Asymmetry in the specific humidity distribution, one component of TW, is more closely correlated with TW tail shape than temperature, suggesting that humidity climatology strongly influences the rate of future changes in TW extremes. Short non‐Gaussian TW warm tails have notable implications for dangerous humid‐heat in regions where current‐climate TW extremes approach human safety limits.
Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica
Authors: Gudmundsson G. H. , Barnes J. M. , Goldberg D. N. , Morlighem M. 
Published: May 2023

AbstractThwaites Ice Shelf (TWIS), the floating extension of Thwaites Glacier, West Antarctica, is changing rapidly and may completely disintegrate in the near future. Any buttressing that the ice shelf provides to the upstream grounded Thwaites glacier will then be lost. Previously, it has been argued that this could lead to onset of dynamical instability and the rapid demise of the entire glacier. Here we provide the first systematic quantitative assessment of how strongly the upstream ice is buttressed by TWIS and how its collapse affects future projections. By modeling the stresses acting along the current grounding line, we show that they deviate insignificantly from the stresses after ice shelf collapse. Using three ice‐flow models, we furthermore model the transient evolution of Thwaites Glacier and find that a complete disintegration of the ice shelf will not substantially impact future mass loss over the next 50 years.
The Decaying Near‐Surface Boundary Layer of a Retreating Alpine Glacier
Authors: Shaw Thomas E. , Buri Pascal , McCarthy Michael , Miles Evan S. , Ayala Álvaro , Pellicciotti Francesca 
Published: May 2023

AbstractThe presence of a developed boundary layer decouples a glacier's response from ambient conditions, suggesting that sensitivity to climate change is increased by glacier retreat. To test this hypothesis, we explore six years of distributed meteorological data on a small Swiss glacier in the period 2001–2022. Large glacier fragmentation has occurred since 2001 (−35% area change up to 2022) coinciding with notable frontal retreat, an observed switch from down‐glacier katabatic to up‐glacier valley winds and an increased sensitivity (ratio) of on‐glacier to off‐glacier temperature. As the glacier ceases to develop density‐driven katabatic winds, sensible heat fluxes on the glacier are increasingly determined by the conditions occurring outside the boundary layer of the glacier, sealing the glacier's demise as the climate continues to warm and experience an increased frequency of extreme summers.
Influence of Preconditioned Stratospheric State on the Surface Response to Displacement and Split Sudden Stratospheric Warmings
Authors: Yang Pengkun , Bao Ming , Ren Xuejuan 
Published: May 2023

AbstractSudden stratospheric warmings (SSWs) can affect tropospheric weather and climate, while the factors affecting the surface response to SSWs are not fully understood. This study shows the important effects of preconditioned stratospheric state on the surface response to displacement and split SSWs using ERA5 reanalysis and historical simulations from 12 Coupled Model Intercomparison Project 6 (CMIP6) models. Both ERA5 and CMIP6 models show that preconditioned stratospheric signals (e.g., positive meridional potential vorticity gradient anomaly in the upper stratosphere) can promote the upward propagation of stratospheric planetary waves by decreasing the negative refractive index frequency before SSWs. The modulation of strong stratospheric preconditions causes larger upper‐stratospheric anomalies for subsequent SSWs and prominent barotropic downward impacts for split SSWs. Meanwhile, the strong preconditioned signals affect the preexisting tropospheric variability, masking the downward impacts of displacement SSWs. The surface response is thus weaker than that to displacement SSWs with weak preconditions.
The relationship between striatal dopamine and anterior cingulate glutamate in first episode psychosis changes with antipsychotic treatment
Authors: Jauhar Sameer , McCutcheon Robert A. , Veronese Mattia , Borgan Faith , Nour Matthew , Rogdaki Maria , Pepper Fiona , Stone James M. , Egerton Alice , Vamvakas George , Turkheimer Federico , McGuire Philip K. , Howes Oliver D. 
Published: May 2023

AbstractThe neuromodulator dopamine and excitatory neurotransmitter glutamate have both been implicated in the pathogenesis of psychosis, and dopamine antagonists remain the predominant treatment for psychotic disorders. To date no study has measured the effect of antipsychotics on both of these indices together, in the same population of people with psychosis. Striatal dopamine synthesis capacity (Kicer) and anterior cingulate glutamate were measured using 18F-DOPA positron emission tomography and proton magnetic resonance spectroscopy respectively, before and after at least 5 weeks’ naturalistic antipsychotic treatment in people with first episode psychosis (n = 18) and matched healthy controls (n = 20). The relationship between both measures at baseline and follow-up, and the change in this relationship was analyzed using a mixed linear model. Neither anterior cingulate glutamate concentrations (p = 0.75) nor striatal Kicer (p = 0.79) showed significant change following antipsychotic treatment. The change in relationship between whole striatal Kicer and anterior cingulate glutamate, however, was statistically significant (p = 0.017). This was reflected in a significant difference in relationship between both measures for patients and controls at baseline (t = 2.1, p = 0.04), that was not present at follow-up (t = 0.06, p = 0.96). Although we did not find any effect of antipsychotic treatment on absolute measures of dopamine synthesis capacity and anterior cingulate glutamate, the relationship between anterior cingluate glutamate and striatal dopamine synthesis capacity did change, suggesting that antipsychotic treatment affects the relationship between glutamate and dopamine.
Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics
Authors: Hasnain Aqib , Balakrishnan Shara , Joshy Dennis M. , Smith Jen , Haase Steven B. , Yeung Enoch 
Published: May 2023

AbstractA major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery of analyte-responsive promoters. This provides a set of biomarkers that act as a proxy for the transcriptional state referred to as cell state. We construct low-dimensional models of gene expression dynamics and rank genes by their ability to capture the perturbation-specific cell state using a novel observability analysis. Using this ranking, we extract 15 analyte-responsive promoters for the organophosphate malathion in the underutilized host organismPseudomonas fluorescensSBW25. We develop synthetic genetic reporters from each analyte-responsive promoter and characterize their response to malathion. Furthermore, we enhance malathion reporting through the aggregation of the response of individual reporters with a synthetic consortium approach, and we exemplify the library’s ability to be useful outside the lab by detecting malathion in the environment. The engineered host cell, a living malathion sensor, can be optimized for use in environmental diagnostics while the developed machine learning tool can be applied to discover perturbation-inducible gene expression systems in the compendium of host organisms.
Machine learning-assisted crystal engineering of a zeolite
Authors: Li Xinyu , Han He , Evangelou Nikolaos , Wichrowski Noah J. , Lu Peng , Xu Wenqian , Hwang Son-Jong , Zhao Wenyang , Song Chunshan , Guo Xinwen , Bhan Aditya , Kevrekidis Ioannis G. , Tsapatsis Michael 
Published: May 2023

AbstractIt is shown that Machine Learning (ML) algorithms can usefully capture the effect of crystallization composition and conditions (inputs) on key microstructural characteristics (outputs) of faujasite type zeolites (structure types FAU, EMT, and their intergrowths), which are widely used zeolite catalysts and adsorbents. The utility of ML (in particular, Geometric Harmonics) toward learning input-output relationships of interest is demonstrated, and a comparison with Neural Networks and Gaussian Process Regression, as alternative approaches, is provided. Through ML, synthesis conditions were identified to enhance the Si/Al ratio of high purity FAU zeolite to the hitherto highest level (i.e., Si/Al = 3.5) achieved via direct (not seeded), and organic structure-directing-agent-free synthesis from sodium aluminosilicate sols. The analysis of the ML algorithms’ results offers the insight that reduced Na2O content is key to formulating FAU materials with high Si/Al ratio. An acid catalyst prepared by partial ion exchange of the high-Si/Al-ratio FAU (Si/Al = 3.5) exhibits improved proton reactivity (as well as specific activity, per unit mass of catalyst) in propane cracking and dehydrogenation compared to the catalyst prepared from the previously reported highest Si/Al ratio (Si/Al = 2.8).
Multigene profiles to guide the use of neoadjuvant chemotherapy for breast cancer: a Copenhagen Breast Cancer Genomics Study
Authors: Jensen M.-B. , Pedersen C. B. , Misiakou M.-A. , Talman M.-L. M. , Gibson L. , Tange U. B. , Kledal H. , Vejborg I. , Kroman N. , Nielsen F. C. , Ejlertsen B. , Rossing M. 
Published: May 2023

AbstractEstrogen receptor (ER) and human epidermal growth factor 2 (HER2) expression guide the use of neoadjuvant chemotherapy (NACT) in patients with early breast cancer. We evaluate the independent predictive value of adding a multigene profile (CIT256 and PAM50) to immunohistochemical (IHC) profile regarding pathological complete response (pCR) and conversion of positive to negative axillary lymph node status. The cohort includes 458 patients who had genomic profiling performed as standard of care. Using logistic regression, higher pCR and node conversion rates among patients with Non-luminal subtypes are shown, and importantly the predictive value is independent of IHC profile. In patients with ER-positive and HER2-negative breast cancer an odds ratio of 9.78 (95% CI 2.60;36.8), P < 0.001 is found for pCR among CIT256 Non-luminal vs. Luminal subtypes. The results suggest a role for integrated use of up-front multigene subtyping for selection of a neoadjuvant approach in ER-positive HER2-negative breast cancer.
Impact of body mass index in therapeutic response for HER2 positive breast cancer treated with neoadjuvant targeted therapy: a multi-center study and meta-analysis
Authors: Chen Lili , Wu Fan , Chen Xiaobin , Chen Yazhen , Deng Lin , Cai Qindong , Wu Long , Guo Wenhui , Chen Minyan , Li Yan , Zhang Wenzhe , Jin Xuan , Chen Hanxi , Nie Qian , Wu Xiong , Lin Yuxiang , Wang Chuan , Fu Fangmeng 
Published: May 2023

AbstractWhile overweight/obesity has become a major public health issue worldwide, any association between body mass index (BMI) and therapeutic response in neoadjuvant targeted therapy treated HER2 positive breast cancer patients remain unclear. The information from a total of four-hundred and ninety-one neoadjuvant targeted therapy treated HER2 positive breast cancer patients from four institutions were retrospectively collected. Univariate and multivariate logistic analysis was developed to determine the association between BMI and therapeutic response. A meta-analysis of published literature was then conducted to confirm the effect of overweight/obesity on pCR for patients treated with neoadjuvant targeted therapy. Restricted cubic spline (RCS) adjusted for confounding factors demonstrated a decrease pCR with increasing BMI (OR = 0.937, P = 0.045). Patients were then categorized into under/normal weight (n = 299) and overweight/obesity (n = 192). Overweight/obese patients were independently associated with a poor therapeutic response. In the subgroup analysis, a significant negative impact of overweight/obesity on pCR can be observed both in single-targeted (OR = 0.556; P = 0.02) and dual-targeted (OR = 0.392; P = 0.021) populations. Six eligible studies involving 984 neoadjuvant targeted therapy treated HER2 positive breast cancer patients were included in the meta-analysis. The meta-analysis also demonstrated that overweight/obesity was significantly associated with a poor response to neoadjuvant anti-HER2 therapy (OR = 0.68; P = 0.007). Our result show that overweight and obese HER2 positive breast cancer patients are less likely to achieve pCR after neoadjuvant targeted therapy.