bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrophysiological correlates of cognitive reserve in healthy older adults at different cognitive states
Authors: Zhunussova Alina , Pellicciari Maria Concetta , Carreiras Manuel , Cespón Jesús 
Published: December 2024

ABSTRACTHigh cognitive reserve (CR) is associated with a set of lifestyle factors such as high education level and occupational attainment. Studies suggest that CR is linked to enhanced executive control functions. Nevertheless, it is unclear what are the functional neural activity patterns linked to high CR and to what extent they are steady across different cognitive states. The aim of the present study was to investigate electrophysiological differences between low CR (LCR) and high CR (HCR) at rest and during the performance of two cognitive control tasks with different difficulty level. Thus, 67 older adults performed an experimental session consisting of two spatial stimulus-response compatibility (SRC) tasks (i.e., the Simon task, and the more demanding spatial Stroop task), and a resting state during an electroencephalogram (EEG) recording. Cognitive control was better in HCR than LCR group, as revealed by higher accuracy in HCR compared to LCR group in incongruent conditions of the tasks. Moreover, event-related brain potentials (ERP) showed earlier latencies (P300) in HCR than LCR and time/frequency analysis showed higher alpha activity in HCR than LCR during the performance of the tasks, while no differences were observed at rest within any of the analyzed frequency bands. Higher P300 frontalization was observed in LCR than HCR in the more difficult task but it was not related to frontalization within a specific frequency band. Overall, results showed that electrophysiological differences between high and low CR depend on the cognitive state, with greater CR-related differences emerging at increased task demands.
scRNA+TCR-seq Reveals the Proportion and Characteristics of Dual TCR Treg Cells in Mouse Lymphoid and Non-lymphoid Tissues
Authors: Xu Yuanyuan ,   Qipeng, Lu Xiaoping , Ma Long , Li Jun , Yao Xinsheng 
Published: December 2024

AbstractAs an essential molecule for Treg cell function, TCR plays a critical role in various immune responses including cell development, immune tolerance, and self-antigen recognition. Current research has identified Treg cells in both lymphoid and non-lymphoid tissues as important for maintaining immune homeostasis and preventing autoimmune reactions. However, the TCR pairing types and CDR3 characteristics of these Treg cells are largely unknown. Through innovative analysis of scRNA+TCR-seq data, we discovered that 10.1% to 21.4% of dual TCR Treg cells exist in mouse lymphoid and non-lymphoid tissues. Dual TCR Treg cells in different tissues exhibit differential phenotypic and TCR repertoire characteristics. These findings provide key insights into the complex biological functions of Treg cell V(D)J recombination, tolerance selection, development, and migration.
Integration of head and body orientations in the macaque superior temporal sulcus is specific to upright bodies
Authors: Zafirova Yordanka , Vogels Rufin 
Published: December 2024

AbstractThe neural processing of faces and bodies is often studied separately, despite their natural integration in perception. Unlike prior research on the neural selectivity for either head or body orientation, we investigated their interaction in macaque superior temporal sulcus (STS) using a monkey avatar with diverse head-body orientation angles. STS neurons showed selectivity for specific combinations of head-body orientations. Anterior STS (aSTS) neurons enabled more reliable decoding of head-body configuration angles compared to middle STS neurons. Decoding accuracy in aSTS was lowest for head-body angle pairs differing only in sign (e.g. head-body orientation difference of ±90° relative to the anatomical midline), and highest for aligned (0°) head-body orientations versus those with maximum angular difference. Inverted bodies showed diminished decoding of head-body orientation angle compared to upright bodies. These findings show that aSTS integrates head and body orientation cues, revealing configuration-specific neural mechanisms, and advance our understanding of social perception.
Predicting non-coding RNA function using Artificial Intelligence
Authors: da Costa Correia David , Couto Francisco M. , Martiniano Hugo 
Published: December 2024

AbstractNon-coding RNAs (ncRNAs) represent the majority of human gene products, and are involved in various important biological processes, being considered relevant disease biomarkers and therapeutic agents. However, information about these biomolecules remains sparsely distributed, mostly in the form of scientific research articles. It is then of pivotal importance to aggregate and summarize the existing information.Natural Language Processing (NLP) methods applied to text mining enable automatic information extraction and summarization from textual data. These techniques can be used to generate collections of annotated sentences expressing relations between entities, called relational corpora.In this work we developed a text mining pipeline to generate a ncRNA-phenotype relational corpus (ncoRP) using Distant Supervision Relation Extraction (DSRE), comprising 21,608 annotated articles, 2,835 unique ncRNAs, 1,118 unique phenotypes and 35,295 unique relations, with a precision of 0.761 and F1-score of 0.593, calculated through human validation. DSRE methods require a set of pre-documented relations to function, as such, a high-fidelity ncRNA-phenotype relation dataset, consisting of 214,300 unique relations, was created by the aggregation of five comprehensive ncRNA-disease functional annotation databases. Then, both ncoRP and the relation dataset represent important contributions towards solving the problem with the sparseness of information about ncRNAs.Large Language Models (LLMs) are an emergent type of language model, showing great capabilities in general task-solving through text generation, without the requirement of fine-tuning with large datasets. This benefit shows promise for applications in Relation Extraction (RE), when compared to data-intensive state-of-the-art deep learning methods. In this work, a LLM RE methodology is proposed and evaluated, achieving an F1-score of 0.978 by combining the RE task with a preceding sentence filtering task and applying prompting principles such as in-context learning and Chain-of-Thought self-explanation.
Rational Design of Unsaturated, Thioether Ionizable Lipids for EnhancedIn vivomRNA Delivery
Authors: Samaridou Eleni , Simon Johanna , Beck-Broichsitter Moritz , Davidson Gary , Levkin Pavel A. 
Published: December 2024

AbstractTherapies based on mRNA technology have offered hope to millions of patients worldwide by disrupting the way we treat diseases. The safe and functional delivery of the delicate mRNA molecules to the target tissue is a crucial step in the development of effective vaccines and therapeutic interventions. Lipid nanoparticles (LNP) are the most clinically advanced delivery vehicles for mRNA drugs. Key to the success of LNP is the inclusion of an ionizable cationic lipid. However, the structure-function relationships between ionizable lipids and efficientin-vivomRNA delivery are still poorly understood. In this work, we focused on the rational design and sequential structural optimization of previously identified ionizable lipids that performed wellin vitro, but notin vivo. Through two distinct iterative optimization cycles — one targeting the lipid tail and the other the headgroup — we aimed to understand how the fusogenicity and apparent pKa of the ionizable lipid contribute to LNP delivery performancein vivo. By engineering unsaturated lipids with more hydrophobic, less protonatable amino headgroups with longer alkyl group at the tertiary nitrogen, we achieved both significant improvement of protein expressionin vitro, reduced hemolysis risk, and more than 200-fold improvement ofin vivomRNA delivery. When compared head-to-head to a market-approved LNP benchmark, the newly developed ionizable lipids/LNP resulted in equally highly efficientin vivomRNA delivery, with strong liver and spleen tropism upon intravenous injection, while matching the safety of the approved platform. Our findings are pivotal for the development of next-generation mRNA-LNP therapies and vaccines.
Study of neutron production for 360 GeV cosmic muons
Authors: Zhang Xinshun , Li Jinjing , Chen Shaomin , Dou Wei , Fu Haoyang , Liang Ye , Liu Qian , Luo Wentai , Qi Ming , Shao Wenhui , Sun Haozhe , Tang Jian , Wang Yuyi , Wang Zhe , Wei Changxu , Weng Jun , Wu Yiyang , Xu Benda , Xu Chuang , Xu Tong , Yang Yuzi , Zhang Aiqiang , Zhang Bin ,   JNE Collaboration
Published: December 2024

The China Jinping underground Laboratory (CJPL) is an excellent location for studying solar, terrestrial, and supernova neutrinos due to its 2400-meter vertical rock overburden. Its unparalleled depth gives an opportunity to investigate the cosmic-ray muons with exceptionally high average energy at ∼360  GeV. This paper details a study of muon-related backgrounds based on 1178 days of data collected by the 1-ton prototype neutrino detector used for the Jinping Neutrino Experiment (JNE) since 2017. The apparent effects for the leakage of muons’ secondary particles due to detector’s finite size on the measured neutron yield are first discussed in detail. The analysis of 493 cosmic-ray muon candidates and 13.6±5.7 cosmogenic neutron candidates, along with a thorough evaluation of detection efficiency and uncertainties, gives a muon flux of (3.56±0.16stat±0.10syst)×10−10  cm−2 s−1 and a cosmogenic neutron yield of (3.37±1.41stat±0.31syst)×10−4  μ−1 g−1 cm2 in LAB-based liquid scintillator.

Published by the American Physical Society
2024
Kaons and antikaons in isospin asymmetric dense resonance matter at finite temperature
Authors: Kaur Manpreet , Kumar Arvind 
Published: December 2024

We study the in-medium properties of kaons and antikaons in isospin asymmetric hot and dense resonance matter within the chiral SU(3) hadronic mean field model. Along with nucleons and hyperons, the interactions of K and K¯ mesons with all decuplet baryons (Δ++,+,0,−,Σ*±,0,Ξ*0,−,Ω−) are explicitly considered in the dispersion relations. The properties of mesons in the chiral SU(3) model are modified at finite density and temperature of asymmetric resonance matter through the exchange of scalar fields σ, ζ, and δ and the vector fields ω, ρ, and ϕ. The presence of resonance baryons in the medium at finite temperature is observed to modify significantly the effective masses of K and K¯ mesons. We also calculated the optical potentials of kaons and antikaons as a function of momentum in resonance matter. The present study of in-medium masses and optical potentials of kaons and antikaons will be important for understanding the experimental observables from the heavy-ion collision experiments where hot and dense matter may be produced. Our results indicate that when resonance baryons are present within the medium at finite baryonic density, the mass reduction of kaons and antikaons becomes more pronounced as the temperature of the medium increases from zero to 100 and 150 MeV. The study of the optical potentials of kaons and antikaons reveals a stronger correlation with strangeness fraction compared to isospin asymmetry.

Published by the American Physical Society
2024
Searching for heavy millicharged particles from the atmosphere
Authors: Wu Han , Hardy Edward , Song Ningqiang 
Published: December 2024

If millicharged particles (MCPs) exist they can be created in the atmosphere when high energy cosmic rays collide with nuclei and could subsequently be detected at neutrino experiments. We extend previous work, which considered MCPs from decays of light mesons and proton bremsstrahlung, by including production from ϒ meson decays and the Drell-Yan process. MCPs with masses below a GeV primarily arise from proton bremsstrahlung, while heavier MCPs predominantly originate from heavy meson decays and Drell-Yan. We analyze the resulting single scatter and multiple scatter signals at SuperK and JUNO. Searches for low energy coincident signals at JUNO will be sensitive to MCPs with millicharges up to an order of magnitude beyond current constraints for MCP masses between 2 and 10 GeV.

Published by the American Physical Society
2024
Equation of state of Bose gases beyond the universal regime
Authors: Planasdemunt-Hospital Martí , Pera Jordi , Boronat Jordi 
Published: December 2024

The equation of state of dilute Bose gases, in which the energy only depends on the s-wave scattering length, is rather unknown beyond the universal limit. We have carried out a set of diffusion Monte Carlo calculations up to gas parameters of 10−2 to explore how the departure from the universality emerges. Using different model potentials, we calculate the energies of the gas in an exact way, within some statistical noise, and report the results as a function of the three relevant scattering parameters: the s-wave scattering length a0, the s-wave effective range r0, and the p-wave scattering length a1. If the effective range is not large, we observe universality in terms of a0 and r0 up to gas parameters of 10−2. If r0 grows, the regime of universality in these two parameters is reduced and effects of a1 start to be observed. In the (a0,r0) universal regime we propose an analytical law that reproduces fairly well the exact energies.

Published by the American Physical Society
2024
Characterization of passive layer formation kinetics of Zn5Al hot-dip galvanized coatings using gel electrolytes
Authors: Pinger Thomas , Kopanka Bryan Julius Carlisle 
Published: December 2024

Purpose
The formation of a natural passive layer on hot-dip galvanized coatings increases their corrosion resistance. Although the basic mechanisms of passive layer formation are known, the quantitative determination of the evolution of its passive character, in particular its surface resistivity, and its development under atmospheric weathering remains largely unexplored for zinc-5% aluminum (Zn5Al) coatings.

Design/methodology/approach
Zn5Al-galvanized test sheets were exposed to atmospheric weathering for four weeks during summer and winter, and the development of polarization resistance measured using a gel-type electrolyte over these periods. Further investigation included stripping away the formed passive layer midway through the exposure period and electrochemical characterization of the passive layer that re-formed after under continue weathering.

Findings
The results showed a steadily increasing resistivity of the corrosion product (passive) layer over the course of the weathering period; this was confirmed by supplementary macroscopic and microscopic analyses. Exposure conditions affected the speed of development. Polarization resistance values were higher by approximately 50 kΩcm2 during the winter compared to summer. Upon interruption of exposure and removal of the passive layer, it rebuilt up much more rapidly after exposure resumed in comparison with the initial layer.

Originality/value
The use of gel electrolyte for determining the polarization resistance of a metal surface is a novel and useful method. To the best of the authors’ knowledge, this study has, for the first time, established the suitability of this electrochemical test method for quantifying the coating resistance of Zn5Al galvanized steel after calibrating the measurement parameters.
Beyond dichotomies: unpacking paradoxical tensions in New Zealand’s hybrid biotechnology sector
Authors: Mesherry Sasha , Chen Sitong Michelle 
Published: December 2024

Purpose
This paper aims to draw on paradox theory and sensemaking literature to empirically investigate tensions and sensemaking logics at Crown Research Institutes (CRIs) engaging with New Zealand’s biotechnology industry.

Design/methodology/approach
A qualitative, abductive approach was used to conduct and analyse 10 semi-structured interviews from four CRIs.

Findings
CRIs experience interrelated and co-occurring performing, organising, belonging and learning tension types due to interconnected environmental factors. Interrelated performing and organising tension types were perceived through dichotomous and business-case logics, whereas interrelated learning and performing tensions were perceived through the paradox logic. Furthermore, performing and organising tensions were more salient to participants compared to belonging and learning tensions. Based on these findings, this study provides a revised dynamic equilibrium model tension framework.

Research limitations/implications
The findings of this paper are not directly transferrable to other contexts, as the tensions and logics identified are situated in a New Zealand biotechnology CRI context.

Practical implications
This paper identifies environmental factors that practitioners may constructively engage with to mitigate salient biotechnology tensions between competing stakeholder demands in hybrid R&D institutes.

Originality/value
This paper addresses knowledge gaps in the relationship between dynamic equilibrium model tensions and sensemaking logics in the novel context of hybrid R&D institutes and emerging technological industries. In doing so, this paper identifies novel paradoxical performing tensions at the organisational level, including temporal and cultural tensions in hybrid R&D institutes.
Too good or not by hiring insider CEO: an analysis preference of investment efficiency from Indonesia
Authors: Nasih Mohammad , Anridho Nadia , Harymawan Iman , Cahyono Suham , Wasiuzzaman Shaista 
Published: December 2024

Purpose
The term “Insider CEO” refers to actor in the top management at corporate level who has the advantage of having better information regarding a company’s resources to make investment decisions. This study aims to examine the relationship between insider chief executive officers (CEOs) and investment efficiency in emerging economies.

Design/methodology/approach
The authors comprises sample of nonfinancial companies listed on the Indonesia Stock Exchange during the period of 2011–2021, using an archival approach through regression analysis.

Findings
This study demonstrates a significant negative relationship between insider CEOs and investment efficiency. In addition, audit quality as the firm audited by BIG4 accounting firm changes the direction of previously negative findings, turning them into significant positive relationships, and audit quality acts as a moderating factor on the insider CEOs and investment efficiency nexus. Furthermore, the authors conducted a series of endogeneity and robustness tests to strengthen the results of this study.

Research limitations/implications
This study offers new ideas in the investment literature and its practice in companies, where it highlights the role of the existence of an insider CEO in practice on investment efficiency. The authors provide recommendations to companies, potential investors and policymakers regarding the potential for insider CEOs to influence investment returns that tend to be less efficient. Therefore, this study proves that the presence of an insider CEO has a higher risk-taking preference, which has the potential to influence less efficient investment practices.

Originality/value
Several previous studies have focused more on the role of CEOs who come from outside the company and their impact on investment practices. However, it is not clear whether insider CEOs will influence the company’s investment efficiency practices driven by the perspective of “risk preferences and investment returns”. To the best of the authors’ knowledge, this is the first study to substantiate the role of CEOs based on their origin and their impact on less efficient investment practices.
Harmonizing minds: navigating diversity in thinking and conflict management within organizational dynamics
Authors: Upadhyay Divya 
Published: December 2024

PurposeThe primary objective of this research paper is to investigate the fundamental dimensions of conflict management, namely cooperation (concern for self and others) and competition (concern only for self), and to establish a theoretical connection between these dimensions and reflective and intuitive thinking. Drawing upon dual process theory and Deutsch’s conceptualization of cooperation and competition, the study delves into the systematic impact of intuition and reflection on individuals’ preferred conflict management styles.Design/methodology/approachTheoretically driven hypotheses established links between reflective and intuitive thinking and cooperative and competitive conflict management styles. Two studies were conducted to empirically validate these hypotheses, designed to scrutinize the influence of intuition and reflection on individuals’ inclinations toward competitive or cooperative conflict management styles. Study 1 was based on self-reported measures, and Study 2 was an experimental design method.FindingsThe study outcomes affirm the hypotheses, revealing that reflective thinking aligns with a preference for cooperation, whereas intuitive thinking corresponds to a preference for competition.Research limitations/implicationsRecognizing the significance of cognitive styles in shaping preferences for competitive and cooperative conflict management, this research offers valuable insights for both parties involved, leading to more favorable outcomes and providing practical guidance for conflict management practitioners. The paper concludes by discussing implications and acknowledging limitations.Originality/valueThis exploration represents a novel avenue in the conflict management research domain, shedding light on the antecedents of thinking styles in the context of conflict resolution.
Digital platform to scale initiatives for community engagement and social impact: a case study in the Indian plastic recycling industry
Authors: Mogha Vipin , Tebourbi Nadia 
Published: December 2024

Purpose
This paper is at the intersection of two main topics: social innovation and digital transformation. This paper aims to explore, describe and explain how a digital platform can enhance community engagement and social impact. The research question addressed is as follows: How can a digital platform foster community engagement and social impact and scale such initiatives?.

Design/methodology/approach
A qualitative methodology and an abductive protocol have been used, specifically using the case study method on an Indian company in the plastic recycling industry. Qualitative data, collected through semi-structured interviews and an important number of documents, have been analyzed through open and axial coding.

Findings
The exploratory results of this case study reveal that a digital platform fosters community engagement and social impact and scales such initiatives through the coordination of stakeholder engagement, operations and organization.

Practical implications
This paper proposes a roadmap that facilitates the creation of a social innovation solution by integrating the physical plastic waste management ecosystem with a custom digital platform at its core.

Originality/value
This research integrates the institutional elements from Herrera’s framework (2015) with the theory of innovation and translation from Actor-Network Theory (ANT). It contributes to the existing literature on social innovation and digital transformation by clarifying two intermediate dimensions that enable a digital platform to scale initiatives for community engagement and social impact: traceability and transparency in the flow of assets and money within an ecosystem.