bluuebunny/crossref_metadata_2025_split huggingface dataset:
Background matching can reduce responsiveness of jumping spiders to stimuli in motion
Authors: Tan Min , Chan Jeremiah Y.O. , Yu Long , Tan Eunice J. , Li Daiqin 
Published: May 2023

ABSTRACTMotion and camouflage were previously considered to be mutually exclusive, as sudden movements can be easily detected. Background matching, for instance, is a well-known, effective camouflage strategy where the color and pattern of a stationary animal match its surrounding background. However, background matching may lose its efficacy when the animal moves, as the boundaries of the animal become more defined against its background. Recent evidence shows otherwise, as camouflaged objects can be less detectable than uncamouflaged objects even while in motion. Here, we explored if the detectability of computer-generated stimuli varies with the speed of motion, background (matching and unmatching) and size of stimuli in six species of jumping spiders (Araneae: Salticidae). Our results showed that in general, the responsiveness of all six salticid species tested decreased with increasing stimulus speed regardless of whether the stimuli were conspicuousness or camouflaged. Importantly, salticid responses to camouflaged stimuli were significantly lower compared to conspicuous stimuli. There were significant differences in motion detectability across species when the stimuli were conspicuous, suggesting differences in visual acuity in closely related species of jumping spiders. Furthermore, small stimuli elicited significantly lower responses than large stimuli across species and speeds. Our results thus suggest that background matching is effective even when stimuli are in motion, reducing the detectability of moving stimuli.Summary StatementContrary to belief, stimuli in motion can remain camouflaged against their backgrounds. Using computer-generated stimuli, we show that smaller and faster stimuli against camouflaged background elicit lower responses from jumping spiders.
Bursting with potential: How sensorimotor beta bursts develop from infancy to adulthood
Authors: Rayson Holly , Szul Maciej J , El-Khoueiry Perla , Debnath Ranjan , Gautier-Martins Marine , Ferrari Pier F , Fox Nathan , Bonaiuto James J 
Published: May 2023

AbstractBeta activity is thought to play a critical role in sensorimotor processes. However, little is known about how activity in this frequency band develops. Here, we investigated the developmental trajectory of sensorimotor beta activity from infancy to adulthood. We recorded electroencephalography (EEG) from adults, 12-month-olds, and 9-month-olds while they observed and executed grasping movements. We analysed ‘beta burst’ activity using a novel method that combines time-frequency decomposition and principal component analysis (PCA). We then examined the changes in burst rate and waveform motifs along the selected principal components. Our results reveal systematic changes in beta activity during action execution across development. We found a decrease in beta burst rate during movement execution in all age groups, with the greatest decrease observed in adults. Additionally, we identified four principal components that defined waveform motifs that systematically changed throughout the trial. We found that bursts with waveform shapes closer to the median waveform were not rate-modulated, whereas those with waveform shapes further from the median were differentially rate-modulated. Interestingly, the decrease in the rate of certain burst motifs occurred earlier during movement and was more lateralized in adults than in infants, suggesting that the rate modulation of specific types of beta bursts becomes increasingly refined with age.
Single-cell transcriptomics reveal distinctive patterns of fibroblast activation in murine heart failure with preserved ejection fraction
Authors: Lanzer Jan D. , Wienecke Laura M. , Ramirez-Flores Ricardo O. , Zylla Maura M. , Hartmann Niklas , Sicklinger Florian , Schultz Jobst-Hendrick , Frey Norbert , Saez-Rodriguez Julio , Leuschner Florian 
Published: May 2023

AbstractInflammation, fibrosis and metabolic stress critically promote heart failure with preserved ejection fraction (HFpEF). Exposure to high-fat diet and nitric oxide synthase inhibitor N[w]-nitro-l-arginine methyl ester (L-NAME) recapitulate features of HFpEF in mice. To identify disease specific traits during adverse remodeling, we profiled interstitial cells in early murine HFpEF using single-cell RNAseq (scRNAseq). Diastolic dysfunction and perivascular fibrosis were accompanied by an activation of cardiac fibroblast and macrophage subsets. Integration of fibroblasts from HFpEF with two murine models for heart failure with reduced ejection fraction (HFrEF) identified a catalog of conserved fibroblast phenotypes across mouse models. Moreover, HFpEF specific characteristics included induced metabolic, hypoxic and inflammatory transcription factors and pathways, including enhanced expression of Angiopoietin-like 4 next to basement membrane compounds. Fibroblast activation was further dissected into transcriptional and compositional shifts and thereby highly responsive cell states for each HF model were identified. In contrast to HFrEF, where myofibroblast and matrifibrocyte activation were crucial features, we found that these cell-states played a subsidiary role in early HFpEF. These disease-specific fibroblast signatures were corroborated in human myocardial bulk transcriptomes. Furthermore, we found an expansion of pro-inflammatory Ly6Chighmacrophages in HFpEF, and we identified a potential cross-talk between macrophages and fibroblasts via SPP1 and TNFɑ. Finally, a marker of murine HFpEF fibroblast activation, Angiopoietin-like 4, was elevated in plasma samples of HFpEF patients and associated with disease severity. Taken together, our study provides a comprehensive characterization of molecular fibroblast and macrophage activation patterns in murine HFpEF, as well as the identification of a novel biomarker for disease progression in patients.
Duplex perception reveals brainstem auditory representations are modulated by listeners’ ongoing percept for speech
Authors: Rizzi Rose , Bidelman Gavin M. 
Published: May 2023

AbstractSo-called duplex speech stimuli with perceptually ambiguous spectral cues to one ear and isolated low– vs. high-frequency third formant “chirp” to the opposite ear yield a coherent percept supporting their phonetic categorization. Critically, such dichotic sounds are only perceived categorically upon binaural integration. Here, we used frequency-following responses (FFRs), scalp-recorded potentials reflecting phase-locked subcortical activity, to investigate brainstem responses to fused speech percepts and to determine whether FFRs reflect binaurally integrated category-level representations. We recorded FFRs to diotic and dichotic stop-consonants (/da/, /ga/) that either did or did not require binaural fusion to properly label along with perceptually ambiguous sounds without clear phonetic identity. Behaviorally, listeners showed clear categorization of dichotic speech tokens confirming they were heard with a fused, phonetic percept. Neurally, we found FFRs were stronger for categorically perceived speech relative to category-ambiguous tokens but also differentiated phonetic categories for both diotically and dichotically presented speech sounds. Correlations between neural and behavioral data further showed FFR latency predicted the degree to which listeners labeled tokens as “da” vs. “ga”. The presence of binaurally integrated, category-level information in FFRs suggests human brainstem processing reflects a surprisingly abstract level of the speech code typically circumscribed to much later cortical processing.
Computational design of soluble functional analogues of integral membrane proteins
Authors: Goverde Casper A. , Pacesa Martin , Goldbach Nicolas , Dornfeld Lars J. , Balbi Petra E. M. , Georgeon Sandrine , Rosset Stéphane , Kapoor Srajan , Choudhury Jagrity , Dauparas Justas , Schellhaas Christian , Kozlov Simon , Baker David , Ovchinnikov Sergey , Vecchio Alex J. , Correia Bruno E. 
Published: May 2023

AbstractDe novodesign of complex protein folds using solely computational means remains a significant challenge. Here, we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. Unique membrane topologies, such as those from GPCRs, are not found in the soluble proteome and we demonstrate that their structural features can be recapitulated in solution. Biophysical analyses reveal high thermal stability of the designs and experimental structures show remarkable design accuracy. The soluble analogues were functionalized with native structural motifs, standing as a proof-of-concept for bringing membrane protein functions to the soluble proteome, potentially enabling new approaches in drug discovery. In summary, we designed complex protein topologies and enriched them with functionalities from membrane proteins, with high experimental success rates, leading to ade factoexpansion of the functional soluble fold space.
Strain and temperature dependent aggregation ofCandida aurisis attenuated by inhibition of surface amyloid proteins
Authors: Malavia-Jones Dhara , Farrer Rhys A. , Stappers Mark H.T. , Edmondson Matt B. , Borman Andrew M. , Johnson Elizabeth M. , Lipke Peter N. , Gow Neil A.R. 
Published: May 2023

ABSTRACTCandida aurisis a multi-drug resistant human fungal pathogen that has become a global threat to human health due to its drug resistant phenotype, persistence in the hospital environment and propensity for patient to patient spread. Isolates display variable aggregation that may affect the relative virulence of strains. Therefore, dissection of this phenotype has gained substantial interest in recent years. We studied eight clinical isolates from four different clades (I-IV); four of which had a strongly aggregating phenotype and four of which did not. Genome analysis identified polymorphisms associated with loss of cell surface proteins were enriched in weakly-aggregating strains. Additionally, we identified down-regulation of chitin synthase and chitinase genes involved in the synthesis and dissolution of the chitinous septum. Characterisation of the cells revealed no ultrastructural defects in cytokinesis or cell separation in aggregating isolates. Strongly and weakly aggregating strains did not differ in net surface charge or in cell surface hydrophobicity. The capacity for aggregation and for adhesion to polystyrene microspheres were also not correlated. However, aggregation and extracellular matrix formation were all increased at higher growth temperatures, and treatment with the amyloid protein inhibitor Thioflavin-T markedly attenuated aggregation. Genome analysis further indicated strain specific differences in the genome content of GPI-anchored proteins including those encoding genes with the potential to form amyloid proteins. Collectively our data suggests that aggregation is a complex strain and temperature dependent phenomenon that may be linked in part to the ability to form extracellular matrix and cell surface amyloids.HIGHLIGHTSThe amyloid inhibitor Thioflavin-T inhibitedC. aurisaggregation. Aggregating isolates do not exhibit any defects in cell separation.Genomic differences were identified between strongly aggregating and weakly-aggregating strains ofC. auris.Aggregation did not correlate with surface charge or hydrophobicity of yeast cells.
Reward-Bases: Dopaminergic Mechanisms for Adaptive Acquisition of Multiple Reward Types
Authors: Millidge Beren , Song Yuhang , Lak Armin , Walton Mark E. , Bogacz Rafal 
Published: May 2023

AbstractAnimals can adapt their preferences for different types for reward according to physiological state, such as hunger or thirst. To describe this ability, we propose a simple extension of temporal difference model that learns multiple values of each state according to different reward dimensions such as food or water. By weighting these learned values according to the current needs, behaviour may be flexibly adapted to present demands. Our model predicts that different dopamine neurons should be selective for different reward dimensions. We reanalysed data from primate dopamine neurons and observed that in addition to subjective value, dopamine neurons encode a gradient of reward dimensions; some neurons respond most to food rewards while the others respond more to fluids. Moreover, our model reproduces instant generalization to new physiological state seen in dopamine responses and in behaviour. Our results demonstrate how simple neural circuit can flexibly optimize behaviour according to animals’ needs.
Neural mechanisms underlying release-mode-specific abnormalities in dopamine neural activity in a schizophrenia-like model
Authors: Sotoyama Hidekazu 
Published: May 2023

AbstractAbnormalities in dopamine function might be related to psychiatric disorders such as schizophrenia. Even at the same concentration, dopamine exerts opposite effects on information processing in the prefrontal cortex depending on independent dopamine release modes known as tonic and phasic releases. This duality of dopamine prevents a blanket interpretation of the implications of dopamine abnormalities for diseases on the basis of absolute dopamine levels. Moreover, the mechanisms underlying the mode-specific dopamine abnormalities are not clearly understood. Here, we demonstrate that the two modes of dopamine release in the prefrontal cortex of a schizophrenia-like model are disrupted by different mechanisms. In the schizophrenia-like model established by perinatal exposure to inflammatory cytokine, epidermal growth factor, tonic release was enhanced and phasic release was decreased in the prefrontal cortex. We examined the activity of dopamine neurons in the ventral tegmental area (VTA), which sends dopamine projections to the prefrontal cortex, under anesthesia. The activation of VTA dopamine neurons during excitatory stimulation (local application of glutamate or NMDA), which is associated with phasic activity, was blunt in this model. Dopaminergic neuronal activity in the resting state related to tonic release was increased by disinhibition of the dopamine neurons due to the impairment of 5HT2 (5HT2A) receptor-regulated GABAergic inputs. Moreover, chronic administration of risperidone ameliorated this disinhibition of dopaminergic neurons. These results provide an idea about the mechanism of dopamine disturbance in schizophrenia and may be informative in explaining the effects of atypical antipsychotics as distinct from those of typical drugs.SignificanceI discovered that the hypo-NMDA function occurs in midbrain dopaminergic neurons of a schizophrenia-like model instead of the cerebral cortex, which has been the focus of attention so far. This suggests that the schizophrenia glutamate hypothesis may interact with the dopamine hypothesis. Furthermore, it was elucidated that a subpopulation of dorsal raphe serotonergic neurons inhibits VTA dopaminergic neurons in the resting state, resulting in promotion of social behavior. 5HT2 receptor-mediated regulation of inhibitory inputs to the dopaminergic neurons underlies this serotonergic regulation. In the schizophrenia-like model, this regulation by 5HT2 receptors is impaired. Chronic administration of an atypical antipsychotic ameliorates this abnormality. Therefore, this result may represent a mechanism underlying the differential efficacy between atypical and typical antipsychotics.
Increasing environmental fluctuations can dampen variability of endogenously cycling populations
Authors: Kortessis Nicholas , Ponciano José Miguel , Simon Franz W. , Ferguson Jake M. 
Published: May 2023

AbstractUnderstanding how populations respond to increasingly variable conditions is a major objective for natural resource managers attempting to forecast extinction risk. The lesson from current modeling is clear: Increasing environmental variability increases population abundance variability. We show that this paradigm fails to describe a broad class of empirically observed dynamics, namely endogenously-driven population cycles. In contrast to the dominant paradigm, these populations can exhibit reduced long-run population variance under increasing environmental variability. We hypothesize that this paradox arises from interactions between environmental stochasticity and nonlinear density dependence. Such interactions violate the oft-assumed additivity of stochastic and deterministic drivers of population fluctuations present in many models that forecast population size. We show evidence for the interaction in two canonical cyclical populations: flour beetles and Canadian Lynx. To help identify the interaction, we develop new theory to quantify the strength of these interactions by partitioning the effects of nonlinear dynamics and stochastic variation on dynamical systems. In both empirical examples, the partitioning shows that the interaction between deterministic and stochastic dynamics reduces the overall variance in population size. Our results highlight that previous predictions about extinction under environmental variability may prove inadequate to understand the effects of climate change in many populations.
ECLiPSE: A Versatile Classification Technique for Structural and Morphological Analysis of Super-Resolution Microscopy Data
Authors: Hugelier Siewert , Kim Hannah , Gyparaki Melina Theoni , Bond Charles , Tang Qing , Santiago-Ruiz Adriana Naomi , Porta Sílvia , Lakadamyali Melike 
Published: May 2023

AbstractWe introduce a new automated machine learning analysis pipeline to precisely classify cellular structures captured through single molecule localization microscopy, which we call ECLiPSE (Enhanced Classification of Localized Pointclouds by Shape Extraction). ECLiPSE leverages 67 comprehensive shape descriptors encompassing geometric, boundary, skeleton and other properties, the majority of which are directly extracted from the localizations to accurately characterize individual structures. We validate ECLiPSE through unsupervised and supervised classification on a dataset featuring five distinct cellular structures, achieving exceptionally high classification accuracies nearing 100%. Moreover, we demonstrate the versatility of our approach by applying it to two novel biological applications: quantifying the clearance of tau protein aggregates, a critical marker for neurodegenerative diseases, and differentiating between two distinct morphological features (morphotypes) of TAR DNA-binding protein 43 proteinopathy, potentially associated to different TDP-43 strains, each exhibiting unique seeding and spreading properties. We anticipate that this versatile approach will significantly enhance the way we study cellular structures across various biological contexts, elucidating their roles in disease development and progression.
Classifying travellers’ requirements from online reviews: an improved Kano model
Authors: Zhao Meng , Liu Mengjiao , Xu Chang , Zhang Chenxi 
Published: May 2023

Purpose
This study aims to provide a method for classifying travellers’ requirements to help hoteliers understand travellers’ requirements and improve hotel services. Specifically, this study develops a strength-frequency Kano (SF-Kano) model to classify the requirements expressed by travellers in online reviews.

Design/methodology/approach
The strength and frequency of travellers’ requirements are determined through sentiment and statistical analyses of the 13,217 crawled online reviews. The proposed method considering the interaction between strength and frequency is proposed to classify the different travellers’ requirements.

Findings
This study identifies 13 travellers’ requirements by mining online reviews. According to the results of the improved Kano model, the six travellers’ requirements belong to one-dimensional requirements; two travellers’ requirements belong to must-be requirements; three travellers’ requirements belong to attractive requirements; two travellers’ requirements belong to indifferent requirements.

Research limitations/implications
Results of this research can guide hoteliers to address hotel service improvement strategies according to the types of travellers’ requirements. This study can also expand the analysis scope of hotel online reviews and provide a reference for hoteliers to understand travellers’ requirements.

Originality/value
By mining online reviews, this study proposes an SF-Kano model to classify travellers’ requirements by considering both the strength and frequency of requirements. This study uses the optimisation model to determine the classification thresholds. This process maximises travellers’ satisfaction at the lowest cost. The classification results of travellers’ requirements can help hoteliers gain a deeper understanding of travellers’ requirements and prioritise service improvements.
Macroeconomic impact of the supply shock during COVID-19 pandemic in India
Authors: Sharma Apica , Sachdeva Paras 
Published: May 2023

PurposeThe study focuses on examining the impact of the supply shock on the Indian macroeconomic variables during the COVID-19 period.Design/methodology/approachTime-varying factor augmented vector autoregressive model has been employed to study the asymmetry in transmission of supply shock on Indian economy during pre- and post-COVID-19 times.FindingsThe authors find that with supply shock, retail food inflation outpaced in COVID-19 times. Production levels reported by IIP fell to abysmally low levels in the post-COVID-19 times when the economy stalled. The liquidity stimulus provided by the central bank led to the negative response of policy rates to the supply shocks during the COVID-19 times.Originality/valueThe study stands novel in examining the impact of COVID-19 pandemic on Indian economy through the lenses of asymmetric transmission of supply shock during pre- and post-COVID-19 times.
A systematic review of articles in PDS Partners: Bridging Research to Practice (2017–2022)
Authors: Polly Drew 
Published: May 2023

PurposeThe purpose of this study is to provide a systematic review of articles published in PDS Partners: Bridging Research to Practice between 2017 and 2022.Design/methodology/approachThis study uses a systematic review of published articles.FindingsFindings indicate that keywords in published articles focused on partnerships, professional development, teacher education and teaching. Findings related to authorship indicated that the journal published a combination of articles authored by only individuals in postsecondary institutions, or author teams that included individuals from both postsecondary institutions and PK-12 settings. Findings also indicate that the most common NAPDS Nine Essentials in articles were Essential 4: Reflection and Innovation and Essential 2: Clinical Practice.Research limitations/implicationsImplications for this study include a need for more scholarly writing about specific NAPDS Nine Essentials as well as a potential need for more studies on student learning within PDS partnerships.Originality/valueThis is the first systematic review published about articles published in PDS Partners, which transitioned from a magazine to a peer-reviewed journal in 2018.