bluuebunny/crossref_metadata_2025_split huggingface dataset:
Midbrain Dopaminergic Neuron Development is Regulated by Two Molecularly Distinct Subtypes of Radial Glia Cells
Authors: Ásgrímsdóttir Emilía Sif , Bassini Luca Fusar , di Val Cervo Pia Rivetti , Gyllborg Daniel , Pastor Clàudia Puigsasllosas , Lee Kawai , Grigsby Christopher , Islam Saiful , Lönneberg Peter , Villaescusa Carlos , Saltó Carmen , Linnarsson Sten , La Manno Gioele , Toledo Enrique M. , Arenas Ernest 
Published: March 2024

AbstractUnderstanding midbrain dopaminergic (mDA) neuron development is key to advancing cell replacement therapies for Parkinson’s disease (PD). Recent single-cell RNA-sequencing (scRNA-seq) studies have identified different subtypes of transient radial glia (Rgl) cell types in the developing mouse and human ventral midbrain. However, their individual functions and their impact on mDA neuron development are unclear. Here we analyze the transcriptome of endogenous mouse and human ventral midbrain Rgl and assess the function of key midbrain floor plate Rgl factors in human stem cells during mDA neuron differentiation. We find that Rgl1 is defined by a neurogenic network centered onArntl, and that this transcription factor regulates human mDA neurogenesis. Conversely, the transcriptome of Rgl3 is dominated by signaling and extracellular matrix molecules that control different aspects of human mDA neuron development. Thus, our results suggest a function of Rgl1 as a mDA progenitor, and of Rgl3 as a signaling mDA niche cell. Moreover, using human stem cells we demonstrate that new knowledge of cell-type specific intrinsic and extrinsic developmental factors can readily be applied to improve the generation of cells with therapeutic interest, such as human mDA neurons for PD.
Ratiometric control of two microbial populations via a dual chamber bioreactor
Authors: Brancato Sara Maria , Salzano Davide , Fiore Davide , Russo Giovanni , di Bernardo Mario 
Published: March 2024

AbstractMaintaining stable coexistence in microbial consortia, particularly when one species grows faster than another (i.e. the species are non-complementary), poses significant challenges. We introduce a novel control architecture that employs two bioreactors. In this system, the slower-growing species is cultivated separately before being introduced into the main mixing chamber. We analyze the open-loop dynamics of this setup and propose a switching feedback mechanism that controls the dilution rates to ensure robust regulation of population density and composition within the microbial consortium. Validatedin silicousing parameters from real experiments, our approach demonstrates effective and robust maintenance of microbial balance across various strains without requiring genetic modifications.
Diffusion kurtosis MRI tracks gray matter myelin content in the primate cerebral cortex
Authors: Reveley Colin , Ye Frank Q , Leopold David A 
Published: March 2024

AbstractDiffusion magnetic resonance imaging (dMRI) has been widely employed to model the trajectory of myelinated fiber bundles in white matter. Increasingly, dMRI is also used to assess local tissue properties throughout the brain. In the cerebral cortex, myelin content is a critical indicator of the maturation, regional variation, and disease related degeneration of gray matter tissue. Gray matter myelination can be measured and mapped using several non-diffusion MRI strategies; however, first order diffusion statistics such as fractional anisotropy (FA) show only weak spatial correlation with cortical myelin content. Here we show that a simple higher order diffusion parameter, the mean diffusion kurtosis (MK), is strongly correlated with the laminar and regional variation of myelin in the primate cerebral cortex. We carried out ultra-high resolution, multi-shelled dMRI in ex vivo marmoset monkey brains and compared dMRI parameters from a number of higher order models (diffusion kurtosis, NODDI and MAP MRI) to the distribution of myelin obtained using histological staining, and via Magnetization Transfer Ratio MRI (MTR), a non-diffusion MRI method. In contrast to FA, MK closely matched the myelin content assessed by histology and by MTR in the same sample. The parameter maps from MAP-MRI and NODDI also showed good correspondence with cortical myelin content. The results demonstrate that dMRI can be used to assess the variation of local myelin content in the primate cortical cortex, which may be of great value for assessing tissue integrity and tracking disease in living human patients.
The auditory midbrain mediates tactile vibration sensing
Authors: Huey Erica L. , Turecek Josef , Delisle Michelle M. , Mazor Ofer , Romero Gabriel E. , Dua Malvika , Sarafis Zoe K. , Hobble Alexis , Booth Kevin T. , Goodrich Lisa V. , Corey David P. , Ginty David D. 
Published: March 2024

SummaryVibrations are ubiquitous in nature, shaping behavior across the animal kingdom. For mammals, mechanical vibrations acting on the body are detected by mechanoreceptors of the skin and deep tissues and processed by the somatosensory system, while sound waves traveling through air are captured by the cochlea and encoded in the auditory system. Here, we report that mechanical vibrations detected by the body’s Pacinian corpuscle neurons, which are unique in their ability to entrain to high frequency (40-1000 Hz) environmental vibrations, are prominently encoded by neurons in the lateral cortex of the inferior colliculus (LCIC) of the midbrain. Remarkably, most LCIC neurons receive convergent Pacinian and auditory input and respond more strongly to coincident tactile-auditory stimulation than to either modality alone. Moreover, the LCIC is required for behavioral responses to high frequency mechanical vibrations. Thus, environmental vibrations captured by Pacinian corpuscles are encoded in the auditory midbrain to mediate behavior.
Blocking Src-PSD-95 interaction rescues glutamatergic signaling dysregulation in schizophrenia
Authors: Featherstone Robert E. , Li Hongbin , Sengar Ameet , Borgmann-Winter Karin E. , Melnychenko Olya , Crown Lindsey M. , Gifford Ray L. , Amirfathi Felix , Banerjee Anamika , Parekh Krishna , Heller Margaret , Zhang Wenyu , Marc Adam D. , Salter Michael W. , Siegel Steven J. , Hahn Chang-Gyu 
Published: March 2024

AbstractThe complex and heterogeneous genetic architecture of schizophrenia inspires us to look beyond individual risk genes for therapeutic strategies and target their interactive dynamics and convergence. Postsynaptic NMDA receptor (NMDAR) complexes are a site of such convergence. Src kinase is a molecular hub of NMDAR function, and its protein interaction subnetwork is enriched for risk-genes and altered protein associations in schizophrenia. Previously, Src activity was found to be decreased in post-mortem studies of schizophrenia, contributing to NMDAR hypofunction. PSD-95 suppresses Src via interacting with its SH2 domain. Here, we devised a strategy to suppress the inhibition of Src by PSD-95 via employing a cell penetrating and Src activating PSD-95 inhibitory peptide (TAT-SAPIP). TAT-SAPIP selectively increased post-synaptic Src activity in humans and mice, and enhanced synaptic NMDAR currents in mice. Chronic ICV injection of TAT-SAPIP rescued deficits in trace fear conditioning in Src hypomorphic mice. We propose blockade of the Src-PSD-95 interaction as a proof of concept for the use of interfering peptides as a therapeutic strategy to reverse NMDAR hypofunction in schizophrenia and other illnesses.
Longitudinal Investigation of Neurobiological Changes Across Pregnancy
Authors: Niu Yanbin , Conrad Benjamin N. , Camacho M. Catalina , Ravi Sanjana , Piersiak Hannah A. , Bailes Lauren G. , Barnett Whitney , Manhard Mary Kate , Cole David A. , Clayton Ellen Wright , Osmundson Sarah S. , Smith Seth A. , Kujawa Autumn , Humphreys Kathryn L. 
Published: March 2024

AbstractPregnancy is a period of profound biological transformation. However, we know remarkably little about pregnancy-related brain changes. To address this gap, we chart longitudinal changes in brain structure during pregnancy and explore potential mechanisms driving these changes. Ten participants (Mean age = 28.97 years) are assessed 1–6 times (median = 3) during their pregnancy. Each visit includes anatomical and diffusion-weighted MRI, and assessments of waking salivary hormones, hair hormones, and inflammatory cytokines. Here we observe a reduction in gray matter volume gestational week, while neurite density index (NDI), a proxy of axon density, in white matter tracts increase across pregnancy. Progesterone levels are associated with reductions in brain volumetric measurements, and both progesterone and estradiol levels are linked to increases in NDI in white matter tracts. This study highlights the profound neurobiological changes experienced by pregnant individuals and provides insights into neuroplasticity in adulthood.
Innovation communities as catalysts for BIM adoption: a cross-case analysis of BIM communities in Norway and Vietnam
Authors: Bui Nam , Merschbrock Christoph , Munkvold Bjørn Erik 
Published: March 2024

Purpose
This paper aims to explore how open innovation communities contribute to the adoption of building information modelling (BIM) in the construction industry.

Design/methodology/approach
The paper presents a cross-case analysis of two construction communities, buildingSMART Norway and the BIM Vietnam Community. Data were collected based on 21 semi-structured interviews conducted with industry experts actively engaged in these two communities. The theoretical basis for the study was open innovation and the institutional intervention model, which delineates institutional actions related to the adoption of new information technology.

Findings
The findings show both similarities and differences in the way in which the communities contribute to industrial practice. Both communities use similar knowledge channels and repositories but apply different approaches to innovation creation and diffusion. In addition, trust can support BIM innovation in the community context.

Originality/value
The comparison of buildingSMART Norway and the BIM Vietnam Community in accelerating BIM innovation allows for exploring how open innovation communities support BIM adoption in the construction industry. The findings provide insights for construction communities into creating and diffusing BIM innovation. In addition, the examples of gaining benefits from community innovation activities are useful for construction firms and practitioners.
Relatedness and regional economic complexity: Good news for some, bad news for others
Authors: Queiroz Arthur Ribeiro , Romero João Prates , Freitas Elton Eduardo 
Published: March 2024

PurposeThis article aims to evaluate the entry and exit of companies from local productive structures, with a specific focus on the sectoral complexity of these activities and the complexity of these portfolios. The study focuses on empirically demonstrating the thesis that related economic diversification exacerbates the development gap between more and less complex regions.Design/methodology/approachThe article uses indicators formulated by the economic complexity approach. They allow a relevant descriptive analysis of the economic diversification process in Brazilian micro-regions and provide the foundation for the econometric tests conducted. Through three distinct estimation strategies (OLS, logit, probit), the influence of complexity and relatedness on the entry and exit events of firms from local portfolios is tested.FindingsIn all estimated models, the stronger relationship between an activity and a portfolio significantly increases its probability of entering the productive structure and, at the same time, acts as a significant factor in preventing its exit. Furthermore, the results reveal that the complexity of a sector reduces the probability of its specialization in less complex regions while increasing it in more complex regions. On the other hand, sectoral complexity significantly increases the probability of a sector leaving less complex local structures but has no significant effect in highly complex regions.Research limitations/implicationsDue to the data used, the indicators are calculated considering only formal job numbers. Additionally, the tests do not detect the influence of spatial issues. These limitations should be addressed by future research.Practical implicationsThe article characterizes a prevailing process of uneven development among Brazilian regions and brings relevant implications, primarily for policymakers. Specifically, for less complex regions, policies should focus on creating opportunities to improve their diversification capabilities in complex sectors that are not too distant from their portfolios.Originality/valueThe article makes an original contribution by proposing an evaluation of regional diversification in Brazil with a focus on complexity, introducing a more detailed differentiation of regions based on their complexity levels and examining the impact of sectoral complexity on diversification patterns within each group.
The two ages of electric vehicle promotion in the United States; a comparative thematic analysis, 1910s-2010s
Authors: Lecour Patrick 
Published: March 2024

Purpose
There is a lot of talk about the electric car today, but these vehicles are not new. Indeed, thebeginning of the 20th century saw electricity and the automobile take hold in North American society, so that by 1910, the electric car was everywhere. Until the turn of the 1920s, a new era dawned for transportation in the USA, but without the electric car. The purpose of this study is to question Why did it happen.

Design/methodology/approach
This paper develops such a comparison, not of the cars themselves, through a detailed engineering analysis, but rather of the marketing of electric vehicles in the USA in 1910 and 2010, as it appeared in the marketing strategies of the manufacturers.

Findings
There are many technical and economic reasons for this, but not only; there are also commercial strategy reasons. The position of manufacturers, especially through advertising and the press, can tell us about this golden age of the electric car, what precipitated its fall, and its reappearance a century later.

Originality/value
It is a comparison of images, of how electric vehicles had been and are proposed to the public, through the exploration of mainly promotional material and newspaper articles.
A review of the impact of decision heuristics on calorie underestimation and the implications for unhealthy eating
Authors: Wang Ziang , Begho Toritseju 
Published: March 2024

Purpose
The global rise in obesity can be closely linked to excessive calorie consumption and misperceptions regarding food intake. Thus, the purpose of this paper is to review the existing literature to have a better understanding how heuristic cues – mental shortcuts used for decision-making – impact calorie underestimation and consequently lead to unhealthy eating habits.

Design/methodology/approach
A search was conducted across multiple databases with priority given to studies in developed countries that provided insights into the cognitive processes behind food choices, the application of specific heuristics, and the association with eating behaviours. Articles were also selected based on their methodological quality.

Findings
The main findings are that the dichotomous categorization of foods as healthy or unhealthy can result in underestimating the calorie content in those foods perceived as healthy. Although nutrition claims, health claims and campaigns help in the fight against obesity, there is also the risk that consumers’ reliance on heuristic-based decision-making could aggravate the problem because a misinterpretation or misrepresentation could lead to calorie underestimation and overeating.

Practical implications
To establish effective behavioural interventions for obesity prevalence -, it is critical for interventions and policies to understand how consumers perceive calorie content and how they interpret claims on food marketing or packaging. Recognizing and addressing these heuristic-driven biases and understanding the factors influencing food choices are crucial for encouraging healthier eating habits.

Originality/value
To the best of the authors’ knowledge, this paper is the only review to date that consolidates research on the topic, drawing from multiple disciplines.
Open value creation for the common good: a comprehensive exploration of social innovation in the context of social enterprises
Authors: Nagy Ákos , Krátki Noémi 
Published: March 2024

Purpose
This study aims to explore the ways that social enterprises (SE) create value by embedding themselves in networks through the process of social innovation (SI). The processes of achieving common social missions were studied through selected organizations using an open approach to SI. Novel operational structures as well as unique forms of created value were explored.

Design/methodology/approach
Two organizations embedded in local and international networks were studied and were chosen due to their SI profiles. The study was based on qualitative exploratory research. In-depth analysis was conducted through interviews, open discussions, document analysis as well as personal observation to understand the dynamic interrelatedness of the main factors influencing success of SI ventures.

Findings
This paper identified the role of SI in SEs embedded in networks. Furthermore, the social value creation processes of these organizations as well as the value they create were explored. Based on the findings, SI is rooted in the personality of the included members of the network. The tools of collaboration are platforms that connect the network members to each other. The embedded organizations apply the concept of community sharing with the aim of social value creation.

Research limitations/implications
By focusing mainly on system design principles, the sample consists of mainly those at the core of organizations in facilitator roles, leaving peripheral actor perceptions to be determined by secondhand observations.

Originality/value
While providing a general summary of factors influencing SI activities from extent literature, the paper mainly contributes by providing deeper insight into complex models of SI practices used by SEs. The paper further contributes to popularizing the growing role of SI activities in SEs.
Developing notions of place in an undergraduate elementary social studies methods course
Authors: Cornett Ariel , Piedmont Erin 
Published: March 2024

PurposePlace-based, social studies teaching and learning has the potential to foster engaged citizens connected and committed to improving their communities. This study explored the research question, “In what ways do classroom and field-based experiences prepare teacher candidates (TCs) to make connections between place-based education and elementary social studies education?”Design/methodology/approachThis qualitative case study examined how elementary TCs learned about, researched, curated and created place-based social studies educational resources related to community sites. Data collection included TCs’ Pre- and Post-Course Reflections as well as Self-Evaluations, which were analyzed using an inductive approach and multiple rounds of concept coding. Several themes emerged through data analysis.FindingsThe authors organized their findings around three themes: connections (i.e. place becomes personal), immersion (i.e. learning about place to learning in place) and bridge building (i.e. local as classroom). The classroom and field-based experiences in the elementary social studies methods course informed the ways in which TCs learned about and connected to the concept of place, experienced place in a specific place (i.e. downtown Statesboro, Georgia), and reflected upon the myriad ways that they could utilize place in their future elementary social studies classrooms.Originality/valueTCs (as well as in-service teachers and teacher educators) must become more informed, connected and committed to places within their local communities in order to consider them as resources for elementary social studies teaching and learning.
My colleague is an AI! Trust differences between AI and human teammates
Authors: Georganta Eleni , Ulfert Anna-Sophie 
Published: March 2024

Purpose
The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

Design/methodology/approach
In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.

Findings
As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.

Originality/value
This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.
Differences in mixed‐species bird flocks across forest succession: Combining network analysis and trait‐based ecology related to the fast‐slow continuum
Authors: Shen Yong , Estrada‐Villegas Sergio , Umaña María Natalia , Goodale Eben , Robinson Scott , Quan Qing , Zhang Qiang 
Published: March 2024

Abstract

Secondary forests are increasingly important for biodiversity conservation and ecosystem functioning. Yet, we know little on how species interactions shift across the wide range of life history strategies in the context of forest succession, especially for non‐trophic animal social systems.

Using data from mixed‐species flocks (hereafter MSFs) and life history and morphological traits from the ‘fast‐slow’ continuum, we utilized a novel combination of network theory and trait‐based ecology to examine the assembly of associations of MSFs among species with different fast‐slow strategies across stages of forest succession that exhibit different degrees of forest complexity.

MSFs formed the most connected and cohesive network in the intermediate successional stage. In contrast, we observed the least connected and cohesive network in the early stage, and a strongly connected but intermediately cohesive network in the late stage. Fast species with smaller body size and mass, and larger clutch size, were gradually replaced by slow species during succession. Interspecific associations generally shifted from those among similarly fast species (early stage) to associations between fast and slow species (intermediate stage), and finally to those among similarly slow species (late stage).

We suggest that vegetation complexity (e.g. tree size, height, diversity and canopy cover), related to the availability of resources and number of niches, shaped the network structure and functional composition of MSFs. Although the late successional forests play an irreplaceable role in protecting forest specialists (i.e. slow species), intermediate stage forests should be also protected, because the large‐sized networks formed by MSFs at intermediate stages can simultaneously conserve more species with varying ecological strategies.

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