bluuebunny/crossref_metadata_2025 huggingface dataset:
The selfish preen: absence of allopreening in Palaeognathae and its socio-cognitive implications
Authors: Jensen Thomas Rejsenhus , Zeiträg Claudia , Osvath Mathias
Published: May 2023

Preening behaviours are widespread in extant birds. While most birds appear to autopreen (self-directed preening), allopreening (preening directed at conspecifics) seems to have emerged only in certain species, but across many families. Allopreening has been hypothesised to reinforce mutual relationships and cooperation between individuals, and to underpin various socio-cognitive abilities. Palaeognathae is a bird group exhibiting neurocognitively plesiomorphic traits compared to other birds. They share many features with non-avian paravian dinosaurs and are thus important for the study of cognitive evolution in birds. Despite this, and the important correlation of allopreening with many complicated social behaviours, allopreening has not been systematically studied in Palaeognathae. Therefore, we examined the preening behaviours in four species of palaeognaths: common ostriches (Struthio camelus), greater rheas (Rhea americana), emus (Dromaius novaehollandiae), and elegant crested tinamous (Eudromia elegans). We compared findings with common ravens (Corvus corax), a neognath species known for its allopreening and complex social cognition. We found autopreening, but no allopreening, in the palaeognath species, while both autopreening and allopreening was found in common ravens. The absence of allopreening in Palaeognathae suggests an emergence of this behaviour within Neognathae. We contextualise our results in relation to the socio-cognitive underpinnings of allopreening and its implications for the understanding of the evolution of socio-cognitive abilities in non-avian paravian dinosaurs and early birds.
Falsification of the instrumental variable conditions in Mendelian randomization studies in the UK Biobank
Authors: Guo Kelly , Diemer Elizabeth W. , Labrecque Jeremy A. , Swanson Sonja A.
Published: May 2023

Mendelian randomization (MR) is an increasingly popular approach to estimating causal effects. Although the assumptions underlying MR cannot be verified, they imply certain constraints, the instrumental inequalities, which can be used to falsify the MR conditions. However, the instrumental inequalities are rarely applied in MR. We aimed to explore whether the instrumental inequalities could detect violations of the MR conditions in case studies analyzing the effect of commonly studied exposures on coronary artery disease risk.

Using 1077 single nucleotide polymorphisms (SNPs), we applied the instrumental inequalities to MR models for the effects of vitamin D concentration, alcohol consumption, C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL) cholesterol, and low-density lipoprotein (LDL) cholesterol on coronary artery disease in the UK Biobank. For their relevant exposure, we applied the instrumental inequalities to MR models proposing each SNP as an instrument individually, and to MR models proposing unweighted allele scores as an instrument. We did not identify any violations of the MR assumptions when proposing each SNP as an instrument individually. When proposing allele scores as instruments, we detected violations of the MR assumptions for 5 of 6 exposures.

Within our setting, this suggests the instrumental inequalities can be useful for identifying violations of the MR conditions when proposing multiple SNPs as instruments, but may be less useful in determining which SNPs are not instruments. This work demonstrates how incorporating the instrumental inequalities into MR analyses can help researchers to identify and mitigate potential bias.
Geochemical and isotopic tracers to define the aquifer’s vulnerability: the case study of the alluvial multi-aquifer system of the Friulian plain
Authors: Di Renzo Dino , Rizzo Antonietta , Telloli Chiara , Salvi Stefano , Marrocchino Elena , Nieto Yàbar Daniel , Vaccaro Carmela
Published: May 2023

The Friuli-Venezia Giulia Region (north of Italy) is characterized by the presence of high-quality freshwater resources which benefit local citizens, animals, environmental habitats, and also agriculture and production activities. Waters from wells, canal, and wastewater selected in the Fiume Veneto area, through a detailed lithological modeling, were sampled and analyzed to characterize them from a geochemical point of view. The chemical and isotopic characterization made it possible to establish provenance, and the average age of water used, making available the estimation of the relationships between recharge capacity and water use in the Fiume Vento area. The focus of this study is to define the average age of the resources based on the time required for the recharge contributions to compensate the losses induced by exploitation. The results made it possible to support the plans for a water balance using the provenance and average age of water sources for the protection of water reserves formed by the multi-aquifer system of the high and medium Friuli plain. The methodology applied has followed the legislation of the water directive considering the overexploitation due to unauthorized withdrawals of the sampling area.
Three-Year Custody Outcomes Among Infants Investigated by Child Protection Systems for Prenatal Substance Exposure in California
Authors: Reddy Julia , Palmer Lindsey , Putnam-Hornstein Emily
Published: May 2023

Objective

Infants affected by prenatal alcohol and drug use are more likely to be removed from parental custody than those in the general population, although it is unclear whether their custody outcomes differ from infants investigated by child protection systems (CPS) for other reasons. This analysis seeks to compare trajectories of involvement and custody outcomes among infants investigated by CPS with and without documentation of prenatal substance exposure (PSE).

Method

We used vital birth records linked to administrative CPS records to examine the timing of system involvement and 3-year custodial outcomes among investigated infants with and without identified PSE. We defined PSE according to documentation on the state’s standardized hotline screening form, which CPS completes upon referral for alleged maltreatment. We estimated the likelihood a child was in nonparental custody at age 3 by specifying multivariable generalized linear models, adjusted for covariates available in the birth record.

Results

In our sample of 22,855 infants investigated by CPS in 2017 in California, more than 26% had documentation of PSE. These infants experienced an accelerated timeline of system penetration and were 2.2 times as likely to be in nonparental placement at age 3.

Discussion

PSE confers an independent risk of custody interruption among infants investigated by CPS. The younger age of these infants, complexity of parental substance use, and potential misalignment of administrative permanency timelines with parental recovery all suggest the need for increased research, policy, and programmatic interventions to serve this vulnerable population.
circSKA3 promotes colorectal cancer metastases through miR-1238 and methylation
Authors: Mao Yonghuan , Miao Ji , Xi Ling , Tong Hanwen , Shen Xiaofei , Li Qiang , Yu Chunzhao
Published: May 2023

Colorectal cancer (CRC) is becoming one of the most common cancers overworld, which causes a high rate of death in patients. circRNAs are non-coding RNAs(ncRNAs), which have been reported to be involved in the development of many cancers, including CRC. However, the exact mechanism that how circRNAs function through in CRC remains unclear. In this study, we firstly used GEO database and bioinformatic methods to identify the significant changed circRNAs, with circSKA3 being the most significantly upregulated circRNAs in CRC tissues. PCR results further confirmed higher expression of circSKA3 in CRC patients. CCK-8, scratch, and transwell assays indicated that circSKA3 could promote the proliferation, migration, and invasion of CRC cell lines for cell detection. Dual-luciferase assays were carried out to detect the downstream targets of circSKA3, and a binding site between circSKA3 and miR-1238 was identified and miR-1238 could also combine with YTHDF2. Overexpression of YTHDF2 rescued the decreased cell proliferation, migration, and invasion caused by miR-1238 overexpression. RIP assay further indicated that YTHDF2 could decrease the methylation of STAT5A. In summary, our study found that circSKA3 was upregulated in CRC tissues comparing with normal tissues. circSKA3 could increase the expression ofYTHDF2 through sponging miR-1238 to decrease the methylation of STAT5A, which could provide a novel target for CRC treatment.
Kinds of modalities and modeling practices
Authors: Koskinen Rami
Published: May 2023

Several recent accounts of modeling have focused on the modal dimension of scientific inquiry. More precisely, it has been suggested that there are specific models and modeling practices that are best understood as being geared towards possibilities, a view recently dubbed modal modeling. But modalities encompass much more than mere possibility claims. Besides possibilities, modal modeling can also be used to investigate contingencies, necessities or impossibilities. Although these modal concepts are logically connected to the notion of possibility, not all models are equal in their affordances for these richer modal inferences. This paper investigates the modal extent of selected models and argues that analyzing singular model-target pairings by themselves is typically not enough to explain their modal aptness or to identify the kinds of modalities they can be used to reason about. Furthermore, it is argued that some important concepts that are not explicitly modal - like biological robustness - can be understood modally through their relational nature to a background space of possibilities. In conclusion, it is suggested that the strategy of modal modeling is contrastive, situating particular possibilities in larger modal spaces and studying the structural relations within them.
Designing “Tiny Forests” as a lesson for transdisciplinary urban ecology learning
Authors: Egerer Monika , Suda Michael
Published: May 2023

The sustainability and livability of urban areas call for the next generation of scientists, practitioners and policy makers to understand the benefits, implementation and management of urban greenspaces. We harnessed the concept of "Tiny Forests©" – a restoration strategy for small wooded areas (~100-400 m2) – to create a transdisciplinary and experiential project for university forestry students that follows an ecology-with-cities framework. We worked with 16 students and a local municipality in the Munich, Germany metropolitan region to survey a community about its needs and desires and then used this information alongside urban environmental features and data collected by students (e.g., about soil conditions) to design a Tiny Forest. In this article, we describe the teaching concept, learning outcomes and activities, methodological approach, and instructor preparation and materials needed to adapt this project. Designing Tiny Forests provides benefits to students by having them approach authentic tasks in urban greening while experiencing the challenges and benefits of transdisciplinary communication and engagement with community members.
Impact of Internal and External Factors on the Profitability and Financial Strength of Insurance Groups
Authors: Siopi Evaggelia , Poufinas Thomas
Published: May 2023

This paper studies the impact of internal and external factors on the profitability and financial strength of insurance groups across the European Union, focusing on the effect of the European sovereign debt crisis and the Solvency II Directive, which has not been addressed by the literature. The findings reveal that the efficiency of accounts receivable management and the state of the economy have a significant positive impact, whereas the underwriting risk and size have a significant negative impact on profitability and financial strength. Furthermore, long-term interest rates exert a significant positive influence, whereas the purchase of reinsurance, size of the domestic market, market structure, and inflation exert a significant negative influence on profitability. The European sovereign debt crisis has a significant negative impact on profitability and a positive but insignificant impact on financial strength. Solvency II has no statistically significant impact either on profitability or on financial strength. This paper contributes to the literature through the identification of the impact of the European sovereign debt crisis and Solvency II, which has not been depicted so far, as well as the impact of a series of internal and external factors on profitability and, for the first time, on financial strength.
Cryoprotectants for Frozen Dough: A Review
Authors: Arias Alejandra Castillo , Bobadilla Carlos Alberto Fuenmayor , Domínguez Carlos Mario Zuluaga
Published: May 2023

Dough is the first step to create baked goods that are known for their variety of presentations, textures, and flavors, divided into different groups such as bread, cakes, cookies, pizza, and puff pastries, among others. These products are mainly made from cereals or cereal-based flours. Particularly, starch and gluten from wheat help develop the characteristic textures of these products. Since the ingredients used to make these products are susceptible to damage during storage, alternatives such as freezing have been sought. However, storage at temperatures below the freezing point of water often affects the sensory quality of the final product, especially by minimizing the development of the texture after baking, resulting in a food with a limited volume because of the reduction of the number of viable yeast cells, or by the presence of overlapping layers which do not develop in the baking stage of the puff pastry because of fat syneresis. To mitigate the negative effects of low temperatures, the application of cryoprotectants has been investigated in the industry to improve the quality of frozen dough. In consequence, this review analyzes the relevant advances for the frozen storage of dough for baked products based on the use of additives such as cryoprotectants and the scientific evidence available to date to indicate the perspectives toward improving dough in aspects related to the development of sensory attributes, their technological feasibility, and shelf life.
Charakterisierung der Substratspezifität von Protein-Methyltransferasen
Authors: Schnee Philipp , Weirich Sara , Jeltsch Albert
Published: May 2023

The regulation of cellular activities is a key hallmark in the development of complex life forms. Among other factors, it is facilitated by protein lysine methyltransferases (PKMTs), which modify proteins in a highly specific manner and regulate their biological activities. Here, we describe methods to decipher the PKMT-substrate specificity by biochemical experiments and molecular dynamics simulations. This led to the discovery of novel PKMT substrates and rational design of even better non-natural substrates, which represent a promising starting point for the design of novel PKMT inhibitors.
Meilensteine in der Algenbiotechnologie
Authors: Griehl Carola , Schmid Andreas , Wilhelm Christian
Published: May 2023

Recent progress in algal biotechnology has identified new products based on their broad evolutionary origin. Novel metabolites were found for pharmacy, food industry, medicine e.g. tumor suppression and antibiotics. However, sustainable and economical algal production for crude oil replacement is limited by extremely low space time yields in photobioreactors. The consequences are a high energy burden for mass flow dependent processes and the need of space being in conflict with sustainable landscape management. New concepts using algae not as biomass producers but as living catalysts may open new options.
Schneller, weiter, TurboID – Modulation einer übereifrigen Biotin-Ligase
Authors: Garloff Vera , Rubio Ignacio
Published: May 2023

Protein-protein interactions are key elements of intracellular signalling and metabolic pathways. These interactions can be revealed with the help of proximity ligation screens, prominently biotinylation screens. This approach has profited from the recent development of the highly active biotin ligase TurboID, which however also led to problems of toxicity related to its high basal activity. We have established a simple protocol to improve TurboID performance and enhance protein functionality.
Lignocellulose-Verwertung durch Pilze mit metabolischer Wärme erfassen
Authors: Maskow Thomas , Schlosser Dietmar
Published: May 2023

Biocalorimetry can aid in the monitoring of solid-state fermentation (SSF) of lignocelluloses and enables to determine fungal growth rates and stages during growth on e. g. wheat straw. It further allows to determine species-specific fungal heat yield coefficients (YQ/X), which indicate the degree of resource investment into fungal biomass versus other functional attributes. YQ/X values seem suitable to link fungal potentials for biomass production to different fungal lignocellulose utilization strategies and may be considered as fungal life history traits.
Implementing a pedagogical cycle to support data modelling and statistical reasoning in years 1 and 2 through the Interdisciplinary Mathematics and Science (IMS) project
Authors: Mulligan Joanne , Tytler Russell , Prain Vaughan , Kirk Melinda
Published: May 2023

This paper illustrates how years 1 and 2 students were guided to engage in data modelling and statistical reasoning through interdisciplinary mathematics and science investigations drawn from an Australian 3-year longitudinal study: Interdisciplinary Mathematics and Science Learning (https://imslearning.org/). The project developed learning sequences for 12 inquiry-based investigations involving 35 teachers and cohorts of between 25 and 70 students across years 1 through 6. The research used a design-based methodology to develop, implement, and refine a 4-stage pedagogical cycle based on students’ problem posing, data generation, organisation, interpretation, and reasoning about data. Across the stages of the IMS cycle, students generated increasingly sophisticated representations of data and made decisions about whether these supported their explanations, claims about, and solutions to scientific problems. The teacher’s role in supporting students’ statistical reasoning was analysed across two learning sequences: Ecology in year 1 and Paper Helicopters in year 2 involving the same cohort of students. An explicit focus on data modelling and meta-representational practices enabled the year 1 students to form statistical ideas, such as distribution, sampling, and aggregation, and to construct a range of data representations. In year 2, students engaged in tasks that focused on ordering and aggregating data, measures of central tendency, inferential reasoning, and, in some cases, informal ideas of variability. The study explores how a representation-focused interdisciplinary pedagogy can support the development of data modelling and statistical thinking from an early age.
State Education and Historical Reappraisal: Changes to the Draft Version of the Aotearoa New Zealand’s Histories Curriculum Content
Authors: Burns Christopher
Published: May 2023

English-medium state schools in New Zealand have been directed to begin implementing the new Aotearoa New Zealand’s histories curriculum content from 2023. In response to the draft version of the curriculum document, Bell & Russell (Bell and Russell, New Zealand Journal of Educational Studies 57:21–35, 2022) highlighted the centrality of Māori histories and critical engagement with colonialism within the document and argued implementation could inaugurate “a new phase in narrating the nation” (p. 21). However, changes to the draft version have created more flexibility for teaching and learning to avoid the most challenging and transformative aspects of the curriculum content. This article employs Deleuze and Guattari’s (Deleuze, G., & Guattari, F. (1987). A thousand plateaus: Capitalism and schizophrenia (B. Massumi Trans.). University of Minnesota Press.) concepts of the assemblage and deterritorialization to analyse the changes to the draft and explore the relationships between historical reappraisal and state education. These changes provide a locus to examine the workings of the state education assemblage and gain insights into where efforts can be directed to support transformative history education in Aotearoa.
STOPP/START criteria for potentially inappropriate prescribing in older people: version 3
Authors: O’Mahony Denis , Cherubini Antonio , Guiteras Anna Renom , Denkinger Michael , Beuscart Jean-Baptiste , Onder Graziano , Gudmundsson Adalsteinn , Cruz-Jentoft Alfonso J. , Knol Wilma , Bahat Gülistan , van der Velde Nathalie , Petrovic Mirko , Curtin Denis
Published: May 2023

Purpose

STOPP/START is a physiological systems-based explicit set of criteria that attempts to define the clinically important prescribing problems relating to potentially inappropriate medications (PIMs–STOPP criteria) and potential prescribing omissions (PPOs–START criteria). The previous two versions of STOPP/START criteria were published in 2008 and 2015. The present study describes the revised and updated third version of the criteria.

Methods

A detailed system-by-system review of the published literature from April 2014 to March 2022 was undertaken with the aim of including clinically important new explicit PIM and PPO criteria and removing any criteria considered to be no longer correct or outdated. A panel of 11 academic physicians with recognized expertise in geriatric pharmacotherapy from 8 European countries participated in a Delphi panel with the task of validating the draft criteria. The panel was presented with the draft new criteria using the SurveyMonkey® on-line platform in which panelists were asked to indicate their level of agreement on a five-point Likert scale.

Results

Two hundred and four evidence-based draft criteria (one hundred and forty-five STOPP criteria, fifty-nine START criteria) were presented to panelists for assessment using the Delphi validation method. Over the course of four rounds of Delphi validation, the panel achieved consensus on 133 STOPP criteria and 57 START criteria, i.e., 190 STOPP/START criteria in total representing a 66.7% increase in the number of criteria compared to STOPP/START version 2 published in 2015.

Conclusion

A fully revised and updated version of STOPP/START criteria has been validated by a European expert panel using the Delphi consensus process.
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

The 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

The 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

The 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

Background

Prior 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.

Methods

Using 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.

Results

There 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.

Conclusions

Null 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

Objective:

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

This 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.
Mothers’ Motivation for Group-Based Empathy in Their Children as a Function of Type and Extent of Group Identification
Authors: Boker Segal Noa , Ran Shira , Hu Danfei , Halperin Eran , Tamir Maya , Reifen-Tagar Michal
Published: May 2023

Abstract. Parents vary in the extent to which they want their children to feel empathy toward different groups. In the current investigation, we tested whether Jewish–Israeli mothers’ motivation to have their children feel group-based empathy toward members of their ingroup (Jews) and outgroup (Arabs) differed as a function of the types of group identification mothers experience with their own group – namely attachment to and glorification of Israel. We found that the more mothers identified with Israel, both in terms of attachment and glorification, the more they wanted their child to feel empathy toward ingroup members. However, only to the extent that mothers glorified their group, did they want their child to feel less empathy toward outgroup members. Our findings point to potential importance of considering mothers' group identity as related to the transmission of intergroup empathy and the perpetuation of intergroup conflict across generations.
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

Humid‐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

Thwaites 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

The 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

Sudden 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

The 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

A 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

It 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

Estrogen 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

While 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.