bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distinct mechanisms for panoramic and landmark-based view integration in human scene-selective cortex
Authors: Han Linfeng Tony , Epstein Russell A. 
Published: January 2025

ABSTRACTTo encode a cognitive map of an environment, a navigating agent must be able to integrate across disparate perceptual views corresponding to the same place. There are two ways that this can be done. First, the agent might integrate across the panorama of views obtainable at a single vantage point. Second, they might integrate across views of a distal location containing a landmark that is visible from multiple vantage points. Guided by previous work, we tested the hypothesis that these two viewpoint-integration processes would be mediated by different neuroanatomical substrates. Male and female human participants were familiarized with a route through a virtual city, along which they closely viewed 24 storefronts that were pairwise associated, either by being located on different buildings directly across the street from each other (same-panorama condition) or by being located on different sides of the same building facing different streets (same-landmark condition). They were then scanned with fMRI while viewing the storefronts in isolation and performing a spatial memory task. Multivoxel pattern analysis revealed a functional distinction between two scene-selective regions: the retrosplenial complex (RSC) showed a significant association effect for same-panorama storefronts, whereas the parahippocampal place area (PPA) showed a significant association effect for same-landmark storefronts. Panoramic association effects were also observed in several other dorsal-stream regions within the medial and lateral parietal lobe. These results demonstrate the existence of two neural mechanisms for integrating across views to represent places as either the observer’s location (same panorama) or the observed location (same landmark).SIGNIFICANCE STATEMENTAn important component of spatial navigation is the ability to integrate across disparate views corresponding to the same place. Here we tested the idea that there are two such integration mechanisms in the human brain. Participants were familiarized with a virtual city and then scanned with fMRI while viewing storefronts from that city. Using multivariate pattern analysis, we find that the retrosplenial complex (RSC) and other parietal regions encode panoramas of views observed from specific locations, whereas the parahippocampal place area (PPA) encodes sets of views corresponding to specific landmarks. These results reveal two anatomically separated mechanisms for integrating views into places, thus advancing our understanding of how the brain forms cognitive maps of spatial environments.
Simultaneous Confidence Regions for Image Excursion Sets: a Validation Study with Applications in fMRI
Authors: Qin Jiyue , Davenport Samuel , Schwartzman Armin 
Published: January 2025

AbstractFunctional Magnetic Resonance Imaging (fMRI) is commonly used to localize brain regions activated during a task. Methods have been developed for constructing confidence regions of image excursion sets, allowing inference on brain regions exceeding non-zero activation thresholds. However, these methods have been limited to a single predefined threshold and brain volume data, overlooking more sensitive cortical surface analyses. We present an approach that constructs simultaneous confidence regions (SCRs) which are valid for all possible activation thresholds and are applicable to both volume and surface data. This approach is based on a recent method that constructs SCRs from simultaneous confidence bands (SCBs), obtained by using the bootstrap on 1D and 2D images. To extend this method to fMRI studies, we evaluate the validity of the bootstrap with fMRI data through extensive 2D simulations. Six bootstrap variants, including the nonparametric bootstrap and multiplier bootstrap are compared. The Rademacher multiplier bootstrap-t performs the best, achieving a coverage rate close to the nominal level with sample sizes as low as 20. We further validate our approach using realistic noise simulations obtained by resampling resting-state 3D fMRI data, a technique that has become the gold standard in the field. Moreover, our implementation handles data of any dimension and is equipped with interactive visualization tools designed for fMRI analysis. We apply our approach to task fMRI volume data and surface data from the Human Connectome Project, showcasing the method’s utility.
Operant House: A Versatile Open-Source Platform for Automated Operant Conditioning Testing of Mice in Home Cages
Authors: Otsuka Shintaro , Nakamura Yuriko , Ito-Ishida Aya , Suzuki Kunimichi , Ishikawa Ayako , Matsuda Keiko , Suyama Shigetomo , Contractor Anis , Yuzaki Michisuke 
Published: January 2025

AbstractOperant conditioning is a valuable method for studying cognitive functions, yet its adoption is limited by low throughput, labor intensity, and high costs. Here, we developed “Operant House,” a low-cost, programmable device featuring a touchscreen, retractable levers, and a water reward port, designed for flexible, automated operant conditioning tasks. To validate its utility, we implemented two protocols to assess working memory in mice: a delayed non-match-to-position test and a two-choice spatial discrimination test. Using these protocols, we examined a mouse model of Alzheimer’s disease carrying familial Alzheimer’s disease-associated amyloid precursor protein mutations. Results revealed significant working memory deficits as early as 5 months of age. These findings highlight the Operant House as a cost-effective, high-throughput platform for evaluating higher cognitive functions in mice, offering an accessible tool for investigating models of neurological and neuropsychiatric disorders.
Exploration of the Anticancer Activity ofSelaginella bryopterisderived silver nanoparticles
Authors: Dutta Ankita , Wadhwa Khushbu , Kumari Neha , Pandey Chetan , Kumar Anoop , Kapoor Neha 
Published: January 2025

AbstractOvarian cancer is characterized by chronic hormonal imbalances and associated symptoms like irregular menstruation, fertility problems and abdominal discomfort. Poly ADP-ribose polymerases (PARPs) are proteins that play a crucial role in DNA repair pathways like base excision repair (BER). PARP family proteins exhibit catalytic activities which facilitate the transport of ADP-ribose to targeted proteins. Inhibition of PARP proteins in cancer cells withBRAC1/2gene mutations impairs the process of Single Strand Break (SSBs) repairs followed by Double Strand Breaks (DSBs), stalling replication, leading to apoptosis. PARP1 protein inhibition is an innovative therapeutic approach in cancer treatment. Commercially available drugs like Olaparib and Rucaparib are used as PARP1 inhibitors to treat ovarian cancer, however the development of effective new therapeutic drugs is urgently needed to overcome drug toxicity and resistance. In this study, we synthesized silver nanoparticles (AgNPs) from the leaf extract ofSelaginella bryopterisdemonstrating their cytotoxic nature against the ovarian cancer SKOV-3 cell line, with an IC50value of 7.81µg/ml. We also observed cell death in cancer cells with an ROS upsurge induced byS. bryopterisAgNPs. Our findings also elaborate on the role of Rhamnetin, aS. bryopterisphytochemical that exhibits active site targeting of PARP-1 residues.
A mosaic gastruloid model highlights the developmental stage-specific restriction of cell competition in mammalian pre-gastrulation
Authors: Frenster J.D. , Babin S. , Josende Garcia J.B. , Casani Galdon P. , Pascual-Mas P. , Robertson G. , Garcia Ojalvo J. , Martinez Arias A. 
Published: January 2025

AbstractIn early mammalian embryogenesis, the selective elimination of suboptimal cells is critical for developmental integrity. Cell competition (CC) is a cell non-autonomous quality control in which “winner” cells eliminate viable but suboptimal “loser” cells based on their relative difference in fitness. Due to its central role in fitness perception, loss of p53 results in the emergence of “supercompetitor” cells, which stand at the apex of cell competition and induce apoptosis in neighboring wild-type (WT) cells.Here, we investigate CC dynamics using mosaic 3D mouse gastruloids, an embryonic stem cell (ESC)-basedin vitromodel of gastrulation, composed of defined numbers of WT and p53-KO cells. In mosaic gastruloids, even low numbers of p53-KO cells robustly outcompete WT cells, and introduction of as few as two p53-KO cells is sufficient to measurably impair neighboring WT cell growth. CC in gastruloids is independent of cell proliferation rates, nutrient availability, or reactive oxygen species (ROS), and not influenced by Nodal and ERK signaling. However, we observe that Wnt and BMP signaling protect from CC, which is exclusively driven by intrinsic apoptosis, as indicated by Bcl2-mediated complete rescue of WT cells. During gastruloid development, CC is temporally restricted to a window of 48–96 hours after aggregation, mirroring embryonic days E5.5–E7.5 in the mouse. Heterochronic mosaic gastruloid experiments demonstrate that relative differences in pluripotency levels are neither necessary nor sufficient to cause supercompetition, but that CC is contingent on both competitors residing within the developmental window permissive to CC. Neither pluripotent mosaic 3D aggregates, nor 3D EpiGastruloids, which model more advanced developmental processes, display any competition, supporting the hypothesis that developmental CC is specific to the onset of gastrulation. Our findings offer insights into the mechanisms of cell fitness evaluation in mammalian embryogenesis and establish gastruloids as a powerful 3D model for investigating developmental stage-specific cell competition.
BubR1 and Mad2 regulate adult midgut remodeling inDrosophiladiapause
Authors: Adachi Yuya , Nagai Hiroki , Fujichika Takako , Takahashi Aya , Miura Masayuki , Nakajima Yu-ichiro 
Published: January 2025

SummaryDiapause is a survival strategy in which growth and aging are temporarily suspended, enabling animals to withstand unfavorable environments. Various insects, including the fruit flyDrosophila, enter reproductive diapause, or dormancy, in response to colder temperatures and/or shorter day lengths. During reproductive diapause, ovarian development halts, and non-reproductive organs also undergo remodeling at both morphological and metabolic levels: however, the mechanisms underlying this remodeling and its physiological impact remain largely unclear. Here, we show that theDrosophilaadult midgut undergoes extensive remodeling in diapause, marked by a sustained suspension of growth due to the cell cycle arrest of intestinal stem cells (ISCs) that revert to normal upon returning to recovery conditions. During dormancy, BubR1 and Mad2, key regulators of mitosis, are highly expressed and localized in the cytoplasm of ISCs rather than at the kinetochore, and both BubR1 and Mad2 are essential for diapause-specific midgut remodeling. Furthermore, disruption of midgut growth arrest during diapause reduces the resistance to starvation in adult flies. Together, our findings identify a novel role for BubR1 and Mad2 in ISCs–promoting proper midgut remodeling during dormancy–and highlight the importance of this process for survival under adverse environments.
Applicability of lean techniques and processes on improving sustainability in construction projects
Authors: Gupta Prachee , Elhag Taha 
Published: January 2025

PurposeThe construction industry is known for its complexity, poor performance and impact on the environment. This study investigates the applicability of lean techniques and processes on improving sustainability in construction projects. A total of ten key lean construction (LC) tools are analyzed for impact on 15 sustainability categories and 78 subcategories. Results are summarized for usability across the three sustainability pillars.Design/methodology/approachA systematic literature review (SLR) of articles published over the last 10 years (2014–2023) on lean and sustainable construction is conducted involving planning, identifying, screening, analyzing and reporting phases. Selected 41 articles are reviewed in detail. For reporting, the applicability of LC tools is critically analyzed and ranked according to impact on sustainability over two project stages.FindingsLiterature suggests that the impact of LC on economic waste reduction or social impact is likely to have an impact on environmental sustainability as well. Overall, the top LC tools for improving sustainability in construction include value stream mapping (VSM), just-in-time (JIT) and 5S. The applicability of the LC tools is more prevalent in the “construction phase” of construction projects than the “planning and design” phase.Originality/valueThis study analyzed ten lean tools through SLR and evaluated their impact on construction sustainability. By assessing the challenges and benefits associated with LC tools, the outcomes of the study support the adoption of LC by stakeholders. The paper also proposed a practical implementation strategy for LC tools to enhance sustainable construction.
The visible-invisible tension of slum tourism influencers
Authors: Fernandes Adalberto 
Published: January 2025

Purpose
This paper aims to investigate the tension between the visible and invisible aspects in slum tourism influencers’ content, addressing a gap in the literature regarding this kind of influencers and enhancing visual methodologies by including the analysis of invisible phenomena.

Design/methodology/approach
This paper is a qualitative analysis of the most-watched slum tourism influencers’ content in Brazilian ‘favelas’ (totaling 24,000,000 views) using Rancière's (2004) visual research framework and interpretation of the most frequent words in 27,000 comments on these videos.

Findings
Slum tourism influencers often attempt to depict what cannot be shown due to risks to the hosts and influencers. The inability to show certain aspects is compensated by the proliferation of alternative images hinting at the unseen. Comments reveal that while the desire to perceive the unseen may drive viewership, the influencers and locals emerge as the primary visual focal points. Consequently, the marginalized setting of the slum fades into the background, with individuals taking precedence in viewers’ discussions.

Originality/value
To the best of the author’s knowledge, this study is the first to explore the role of the invisible in slum tourism influencer content and followers’ reactions. It illustrates that rather than imposing restrictions on the visible, the invisible serves as a catalyst for the proliferation of images through alternative means.
Compliant assembly of complex aviation plugs combining multi-agent search and variable parameters
Authors: Liu Zhenghai , Tang Hui , Liu Dong , Zhao Jingji , Zhu Xinyue , Du Yu , Tian Xiaojing , Cong Ming 
Published: January 2025

Purpose
In response to the complex external structure of high-precision aviation plugs, which makes it difficult to search outside the hole and adjust inside the hole during automated assembly. This paper aims to propose an assembly framework that combines multi-agent search and variable parameter compliant control to solve this problem.

Design/methodology/approach
First, a multi-agent search strategy (MAS) based on Gaussian Mixture Model and Deep Q-Network was proposed to optimize displacement direction and actions, thereby improving search speed and success rate. Then, a variable parameter admittance control method (RL-VPA) based on dual delay depth deterministic policy gradient (TD3) was proposed, which dynamically optimized the internal parameters of the admittance controller and adopted state space discretization to improve convergence speed and assembly efficiency.

Findings
Compared to spiral search and single-agent search, the average search success rate has improved by approximately 10% and 6.6%. Compared to fixed admittance control and other RL-based methods, the average assembly success rate has increased by approximately 38.6%, 22% and 8.6%. Compared with the training results of the model without state discretization, it was found that state discretization helps the model converge quickly. To verify the generalization ability of the assembly framework, experiments were conducted on three different pin counts of aviation plugs, the assembly success rate reached 86.7%, all of which showed good assembly results. Finally, combining state space discretization to reduce the impact of environmental noise, improve training effectiveness and convergence speed.

Originality/value
MAS has been proposed to optimize displacement direction and action, improving search speed and success rate. RL-VPA is designed to dynamically optimize the internal parameters of the admittance controller, enhancing the robustness and generalization ability of the model. Additionally, state space discretization is combined to improve training effectiveness and convergence speed.
Interaction in a time of crisis: buyer-supplier adaptation in public healthcare
Authors: Abrahamsen Morten H. , Munksgaard Kristin B. 
Published: January 2025

Purpose
This paper aims to examine adaptation in buyer–seller relationships in a time of crisis and to explore what consequences adaptation has for the actors involved. The authors are particularly interested in examining how suppliers and public buyers adapt in turbulent situations where public policy opens for interaction in a mode represented by studies in the industrial marketing and purchasing research approach. The COVID-19 pandemic represents such a unique research setting, as it opens up insights into how buyers and suppliers had to adapt in a matter of days in response to rapid and turbulent changes in their business environment. In this paper, the authors seek insights into the following research questions: What role do the actors’ interpretation of the situation play in the adaptation process? How do adaptation processes unfold in a time of national crisis? What are the actor and relationship-specific outcomes from adaptation in such a situation?

Design/methodology/approach
To answer these questions, the authors present data from an exploratory case study of intra- and interfirm adaptation processes between public buyers and private suppliers in the health-care sector during the COVID-19 pandemic. The pandemic opened for access to a unique data from personal interviews and secondary data, from public reports and newspaper/media coverage at intervals during the outbreak and at the aftermath of the pandemic.

Findings
The authors find that the actors’ interpretation of the situation and their motivation to engage in adaptations play an important role in the adaptation processes. In particular, a normative commitment based on a moral duty to contribute to dealing with the turbulent situation of society is found to be a main driver. In these situations, shared sensemaking and alignment of mental models help to mobilise actors, resources and activities into new interaction patterns. At the same time, mutual affective commitment between the buyer and suppliers is not significant over time, thus constraining and eventually terminating the adaptation processes.

Originality/value
This study contributes to the understanding of interaction between public buyers and suppliers during turbulent situations. Changes in the adaptation context opens for extensive interaction, thus enabling actors to combine and exploit resources of value, but temporary adaptations do not create long-term effects on the ability to develop buyer–supplier interaction in public markets.
Gendered AI in fully autonomous vehicles: the role of social presence and competence in building trust
Authors: Pavone Giulia , Desveaud Kathleen 
Published: January 2025

Purpose
This study aims to examine users’ perceptions of gendered artificial intelligence (AI) interfaces in the context of autonomous vehicles (AVs). It focuses on the gendered effects of social presence, warmth and competence on trust and introduces the moderating role of perceived autonomy as a key factor.

Design/methodology/approach
A between-subjects experimental design was used (n = 309), using a 360-degree virtual tour simulation with gendered voice assistants.

Findings
As AVs are perceived as highly autonomous, the impact of gender on social presence intensifies, affecting trust. Female voices enhance social presence, conveying warmth but also perceived competence traits. Notably, competence impacts trust more significantly than warmth.

Research limitations/implications
The study’s experimental approach might not fully capture real-world interactions with AVs. Future research could benefit from field and longitudinal studies.

Practical implications
These findings are crucial for AV designers and interface developers. They highlight the importance of considering human-like characteristics such as gender and enhance perceptions of competence in developing highly autonomous AI interfaces.

Social implications
Addressing gender stereotypes in AV design is vital to ensure inclusivity, to cater for a diverse user base and to give all users a trustworthy experience.

Originality/value
This study is pioneering in its examination of how gender stereotypes impact trust toward AVs, an area previously unexplored, despite the significant influence gender might have due to the high level of autonomy and traditional car-related stereotypes. It uniquely identifies feminine traits as denoting competence in highly autonomous technologies like AVs, especially where safety is critical. This challenges traditional gender stereotypes and emphasizes the need to rethink attributes associated with competence and trust in AI.
Machinability optimization of carbon fiber reinforced polymer composites for aviation manufacturing parts
Authors: Şirin Aysun , Aytaç Ayhan , Şeker Ulvi 
Published: January 2025

PurposeSurface roughness and delamination during the milling of carbon fiber reinforced polymer (CFRP) composite parts in aviation can lead to component rejection. This article aims to optimize cutting conditions to reduce these failures while ensuring compliance with aviation standards. By improving machinability, the goal is to minimize part rejection rates and scrap, optimizing costs and increasing safety.Design/methodology/approachFull factorial experimental design and response surface methodology (RSM) were used to establish relationships between the cutting parameters and the cutting force, delamination and surface roughness. To validate the model and identify significant parameters, analysis of variance (ANOVA) was performed. The cutting parameters were optimized to reduce cutting force and improve surface quality using ANOVA and RSM.FindingsThe lowest response values can be achieved with a cutting speed of 285.35 m/min and a feed of 358.57 mm/min using the Aluminum Chromium Nitride (AlCrN)-coated tool. Accordingly, the optimum cutting force was obtained as 190.97 N, delamination depth as 1.562 mm and surface roughness as 1.431 µm. It has been seen that the obtained surface roughness and delamination values are consistent with aviation literature studies, sectoral data and standards.Originality/valueThis study uniquely examines cutting force, surface roughness and delamination using Titanium Aluminum Nitride (TiAlN)- and AlCrN-coated tools instead of traditional Poly Cyristaline Diamond (PCD) tools. It employs a two-stage experimental framework, starting with a full factorial design followed by RSM. The initial data have been used as inputs for optimization in the second stage to achieve more accurate results.