bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional organization of the neonatal thalamus across development depicted by functional MRI
Authors: Kebiri Hamza , Delavari Farnaz , Van De Ville Dimitri , Jorge João , Bach Cuadra Meritxell 
Published: January 2025

AbstractThe thalamus is a central component of the brain that is involved in a variety of functions, from sensory processing to high-order cognition. Its structure and function in the first weeks of extrauterine life, including its connections to different cortical and subcortical areas, have not yet been widely explored. Here, we used resting state functional magnetic resonance imaging data of 730 newborns from the developing Human Connectome Project to study the functional organization of the thalamus from 37 to 44 post-conceptual weeks. We introduce KNIT: K-means for Nuclei in Infant Thalamus. The framework employs a highly granular vector space of 40 features, each corresponding to functional connectivity to a brain region, usingk-meansclustering and uncertainty quantification through bootstrapping to delineate thalamic units. Although the different clusters showed common patterns of increased connectivity to the superior temporal gyrus, the parietal, and the frontal cortex, implying an expected decrease in specialization at that age, they also show some specificity. That is, a pulvinar unit was identified, similar to the adult thalamus. Ventrolateral motor and medial salience units were also highlighted. The latter appeared around 41 weeks of age, while the former showed at least from 37 weeks, but had a decrease in volume through age, replaced mostly by a dominant dorsal thalamic unit. We also observed an increase in clustering robustness and in hemispheric bilateral symmetry with age, suggesting more specialized functional units. We also found a burst in global thalamic connectivity around 41 weeks. Finally, we demonstrate the benefits of this method in terms of granularity compared to the more conventional winner-takes-all approach.
Cholinergic Modulation of Chandelier Cells via Heteromeric Nicotinic Receptors in Prefrontal Cortex
Authors: Martinez-Marquez Emilio , Reyes-Leon Santiago , Garcia-San-Jose Flores , Lopez-Begines Santiago , Nieto-Gonzalez Jose L , Garcia-Junco-Clemente Pablo 
Published: January 2025

AbstractChandelier cells (ChCs) are a distinct subtype of GABAergic interneurons that form vertical arrays of presynaptic boutons targeting the axon initial segment (AIS) of pyramidal neurons (PNs). They are particularly abundant in prefrontal cortex, where cholinergic inputs modulate cognitive functions and shape ChC axonal development. However, the effects of the cholinergic system on ChC activity in the adult brain remain largely unexplored. Here, using a genetic intersectional strategy (VipR2-Pvalb-Ai65) in adult mice, we selectively labeled ChCs in the secondary motor cortex (M2). Immunohistochemistry and electrophysiology confirmed morphological and functional properties distinguishing them from basket cells. We found that these ChCs exhibit an inward current in response to nicotinic acetylcholine receptor (nAChR) agonists. Pharmacological blockade and fluorescent in situ hybridization revealed that this effect is primarily mediated by heteromeric nAChRs containing β2 subunits, with a smaller contribution from α3 subunits. Optogenetic stimulation of basal forebrain (BF) cholinergic axons evoked inward currents in ChCs, confirming a functional cholinergic drive. Furthermore, in vivo two-photon calcium imaging revealed a strong correlation between ChC activity and behavioral markers of arousal, including locomotion and pupil dilation. Importantly, the application of nicotinic receptor antagonists significantly diminished ChC activity during movement. Together, these results indicate that ChCs are modulated by cholinergic input via heteromeric nAChRs, emphasizing their importance in facilitating state-dependent cortical dynamics.
Incorporating grey relational analysis into decomposition ensemble models for forecasting air passenger demand
Authors: Hu Yi-Chung , Wu Geng , Tsai Jung-Fa 
Published: January 2025

PurposeLinear addition is commonly used to generate ensemble forecasts for decomposition ensemble models but traditionally treats individual modes with equal weights for simplicity. Using Taiwan air passenger flow as an empirical case, this study examines whether incorporating weighting for individual single-mode forecasts assessed by grey relational analysis into linear addition can improve the accuracy of the decomposition ensemble models used to forecast air passenger demand.Design/methodology/approachData series are decomposed into several single modes by empirical mode decomposition, and then different artificial intelligence methods are applied to individually forecast these decomposed modes. By incorporating the correlation between each forecasted mode series and the original time series into linear addition for ensemble learning, a genetic algorithm is applied to optimally synthesize individual single-mode forecasts to obtain the ensemble forecasts.FindingsThe empirical results in terms of level and directional forecasting accuracy showed that the proposed decomposition ensemble models with linear addition using grey relational analysis improved the forecasting accuracy of air passenger demand for different forecasting horizons.Practical implicationsAccurately forecasting air passenger demand is beneficial for both policymakers and practitioners in the aviation industry when making operational plans.Originality/valueIn light of the significance of improving the accuracy of decomposition ensemble models for forecasting air passenger demand, this research contributes to the development of a weighting scheme using grey relational analysis to generate ensemble forecasts.
Global virtual teams projects and developing AI literacy: a mixed-methods study on preparing students for the international technology-infused workplace
Authors: Swartz Stephanie , Luck Susan , Sharma Soni 
Published: January 2025

PurposeThis study describes a short-term project designed for students to develop important skills needed for artificial intelligence (AI) literacy and to understand how the concepts of AI literacy may be viewed in different countries.Design/methodology/approachThis mixed-methods study sets out to investigate students’ perceptions on the use of AI-generated communication in the workplace, particularly the use of ChatGPT for business communication. We discuss student responses to questions regarding AI-generated business communication according to the diamond model of AI literacy.FindingsThis study’s findings reflect students’ awareness of the use of AI at their workplace, their perceptions of the benefits and challenges of AI-generated business communication, as well as their perceived need for institutionalizing policies at their respective companies. The study reports on potential differences in cultural attitudes regarding generative AI.Research limitations/implicationsThis study involved a project with a limited sample. It involved students in the United States of America, Germany and India and was replicated. Despite the sample size, we feel it has relevance for underlining opportunities for AI literacy skills in higher education (HE) institutions, especially in terms of heightening awareness of cultural appropriateness, sensitivity towards data privacy needs and developing students' intercultural communication skills.Originality/valueThe following study addresses the need for institutions of HE to develop students’ AI literacy, including how concepts of AI literacy may be viewed differently and how AI-generated business communication must be adapted to suit diverse environments. The study encourages instructors to incorporate AI tools in their curricula by illustrating one best use-case for developing students’ abilities to utilize this technology for professional business communication.
Analysis of challenges of lean six sigma and cyber physical system integration using CODAS
Authors: Vigneshvaran R. , Vinodh S. 
Published: January 2025

PurposeOrganisations are looking for a concept that can solve traditional as well upgraded production problems with current resources and technology, and this can be addressed by integration of lean six sigma (LSS) with Industry 4.0 (I4.0) technologies. This reduces complexity in the manufacturing process through digital technologies. Cyber physical system (CPS) is considered as primary I4.0 technology with which all other technologies are associated to extend. CPS can integrate with other prevailing manufacturing approaches like lean, LSS and so on. LSS, on the other hand, is a team-focussed performance improvement strategy which is widely used by the industries to identify problems, eliminate waste to meet customer requirements. The study aims at analysis of challenges for LSS and CPS integration.Design/methodology/approachIntegrating LSS and CPS will solve both traditional and modern manufacturing problems. To integrate these technologies, organisational requirements need to be assessed. These requirements are posed as challenges in this study. Their priority weights are analysed, and challenges are prioritised using fuzzy Combinative Distance-based Assessment (CODAS) method. Sensitivity analysis is employed to assess the robustness of the results.FindingsThe result of this study enables top management to integrate LSS and CPS. In this study, 20 challenges were identified, and they are assessed to compute their relative assessment score. Requirement of new tools and methods with 0.6 score ranks first followed by interplay with big data and requirement of new communication protocol. The result highlighted the need for integration of LSS and CPS, proper utilisation of information and communication technologies, and cyber security management as the main impediments that need to be addressed to implement CPS in an LSS environment.Originality/valueThe analysis of challenges of LSS and CPS integration using MCDM tool is the original contribution of the authors.
Orchestrating the digital symphony: the impact of data-driven orientation, organizational culture and digital maturity on big data analytics capabilities
Authors: Orero-Blat Maria , Palacios-Marqués Daniel , Leal-Rodríguez Antonio L. 
Published: January 2025

PurposeThis study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.Design/methodology/approachEmploying partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.FindingsAnalysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.Practical implicationsThe findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.Originality/valueThis study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.
Exploring the Dynamic Interplays of Morphological Awareness and Reading Skills in Chinese Children
Authors: Wang Zhenliang , Ding Wan , Xie Ruibo , Wu Xinchun , Wenren Shiqing , Xia Yue 
Published: January 2025

ABSTRACTTheoretical work has suggested close associations between morphological awareness (MA) and reading skills in Chinese; however, the nature and direction of these time‐ordered links are little known. This study examined the interplays of MA and reading skills using a continuous‐time modeling approach to three waves of two‐year longitudinal data from first‐ (N = 149; 69 girls) and third‐grade (N = 142; 74 girls) Chinese children. Results showed that (a) increases in MA predicted subsequent increases in reading skills (i.e., word‐reading accuracy, word‐reading fluency, and sentence‐reading comprehension) and vice versa, (b) age only moderated the predictive effect of MA on sentence‐reading comprehension, and (c) the magnitude of these effects was time‐sensitive. The theoretical and educational implications of these findings are discussed.
Haplotype Phasing of Biallelic WNT10B Variants Using Long‐Read Sequencing in Split‐Hand/Foot Malformation Syndrome
Authors: Pozojevic Jelena , Kakar Naseebullah , Sczakiel Henrike L. , Kruse Nathalie , Händler Kristian , Balachandran Saranya , Sreenivasan Varun , Mensah Martin A. , Spielmann Malte 
Published: January 2025

ABSTRACTSplit‐hand/foot malformation syndrome (SHFM) is a congenital limb malformation that is both clinically and genetically heterogeneous. Variants in WNT10B are known to cause an autosomal recessive form of SHFM. Here, we report a patient born to unrelated parents who was found to be a compound heterozygote for missense variants in WNT10B: c.994C>T, p.(Arg332Trp) and c.638T>G, p.(Phe213Cys). The variants were identified using long‐read PacBio sequencing, which enabled phasing and confirmed that they were located on different alleles. The maternally inherited variant p.(Arg332Trp) has been previously reported, whereas the paternally inherited variant p.(Phe213Cys) is novel and absent from the gnomAD database. Our findings highlight the utility of long‐read haplotype phasing, which provides valuable insights in determining the biallelic nature of variants in recessive disorders when parental DNA samples are unavailable.
The Indigenous Range of the Tiger (Panthera tigris)
Authors: Sanderson Eric W. , Miquelle Dale G. , Harihar Abishek , Breitenmoser Urs , Breitenmoser‐Würsten Christine , Cooper David M. , Faziolahi Kaveh , Fisher Kim , Goodrich John , Gray Thomas N. E. , Kang Aili , Kitchener Andrew C. , MacMillan Douglas C. , Ostrowski Stephane , Royte Lucinda , Thapa Kanchan , Yamaguchi Nobuyuki 
Published: January 2025

ABSTRACTAimIndigenous range maps are fundamental documents in biogeography, phylogeny and conservation. We define the indigenous range of a species as ecoregions (or parts of ecoregions) where the species was likely found before humans became a major factor shaping the species' distribution, beginning at a time when the geographical alignment of the continents and the prevailing climate are (or at least were) roughly consistent with current conditions. We developed a structured, generally applicable method to map a species' indigenous range and applied this process to the tiger (Panthera tigris).LocationTerrestrial Asia.MethodsTo guide our mapping, we synthesised a database of over 70,000 tiger observations with dates and locations. We developed a structured Delphi process to assign categories of indigenous range to ecoregions aided by a climate niche model. We analysed tiger habitat change at the ecoregional scale using the anthropogenically modified biomes (‘Anthrome 12K’) dataset to suggest dates of first significant human impact. Finally, we estimated extirpation dates for ecoregions where tigers have been extirpated.ResultsWe found the tiger once occupied a likely indigenous resident range of approximately 11.5 million km2, crossing 116 ecoregions. We also mapped an additional c. 11.7 million km2 of exploratory range and 1.2 million km2 of possible resident range. Collectively these areas overlap with 36 modern countries. Significant human disruption of the species' habitat seems to have begun over 6000 years ago in some areas, but in other regions has yet to materialise. In few arid ecoregions, human activities appear to have modestly increased habitat availability in the past, yet overall tigers have lost between 90% and 95% of their indigenous range over the last 8500 years.Main ConclusionsWe define the ‘indigenous range’ of a species, develop a replicable biogeographical procedure, apply the procedure to the tiger and discuss transferability to other species.
How to Identify Priority Sites for Invasive Alien Species Policy and Management
Authors: Clarke David A. , Clarke Rohan H. , McGeoch Melodie. A. 
Published: January 2025

ABSTRACTAimIdentifying priority species and introduction pathways has long been a goal of national and international policy for reducing and mitigating the impacts of invasive alien species (IAS). Although identifying priority sites for invasion management is included within Target 6 of the Kunming–Montreal Global Biodiversity Framework, methods for doing so that capture both site sensitivity (i.e., the level of biodiversity value) and susceptibility to invasion have received little attention. Here we describe and implement a data‐driven approach to priority site identification that integrates spatial conservation planning and biodiversity modelling techniques.LocationAustralia.MethodsWe use the modelled distributions of 5113 Australian native species and 12 invasive alien insect species as a case study for demonstrating a data‐driven approach for identifying priority sites for the purposes of IAS surveillance and management. The approach consists of three components, namely the identification of sensitive, susceptible and subsequently their overlap (i.e., priority sites). We also compare our approach with a proposed alternative for use as priority sites, Australia's key biodiversity area (KBA) network.ResultsNumerous sensitive sites were identified across Australia using a large and taxonomically diverse set of native species and areas of known conservation importance. Most IAS distributions had a high degree of overlap with sensitive sites, with 10 out 12 species having median site sensitivities above 0.70. We also demonstrate that, by comparison, using KBA's as priority sites can underestimate the potential threat of environmentally invasive alien insects.Main ConclusionsGiven that sites most susceptible to invasion may not be the most sensitive, implementing site‐based prioritisation approaches should account for both components of priority site identification to guide IAS management and most effectively mitigate their environmental impacts. The approach demonstrated here can be applied at multiple national and sub‐national scales and improve the efficiency of interventions for IAS.
Unlocking Mechanisms for Soil Organic Matter Accumulation: Carbon Use Efficiency and Microbial Necromass as the Keys
Authors: Yang Yang , Gunina Anna , Cheng Huan , Liu Liangxu , Wang Baorong , Dou Yanxing , Wang Yunqiang , Liang Chao , An Shaoshan , Chang Scott X. 
Published: January 2025

ABSTRACTSoil microorganisms transform plant‐derived C (carbon) into particulate organic C (POC) and mineral‐associated C (MAOC) pools. While microbial carbon use efficiency (CUE) is widely recognized in current biogeochemical models as a key predictor of soil organic carbon (SOC) storage, large‐scale empirical evidence is limited. In this study, we proposed and experimentally tested two predictors of POC and MAOC pool formation: microbial necromass (using amino sugars as a proxy) and CUE (by 18O‐H2O approach). Soil sampling (0–10 and 10–20 cm depth) was conducted along a climatic transect of 900 km on the Loess Plateau, including cropland, grassland, shrubland, and forest ecosystems, to ensure the homogeneous soil parent material. We found the highest POC and MAOC accumulation occurred in zones of MAT between 5°C and 10°C or MAP between 300 and 500 mm. Microbial necromass C was more positively related to POC than MAOC (p < 0.05), suggesting that microbial residues may improve POC pool more strongly compared to MAOC pool. Random forest and linear regression analyses showed that POC increased with fungal necromass C, whereas bacterial necromass C drove MAOC. Microbial CUE was coupled with MAOC (p < 0.05) but decoupled with POC and SOC (p > 0.05). The POC have faster turnover rate due to the lack of clay protection, which may lead to the rapid turnover of microbial necromass and thus their decoupling from the CUE. In this sense, the SOC accumulation is driven by microbial necromass, whereas CUE explains MAOC dynamics. Our findings highlight the insufficiency of relying solely on microbial carbon use efficiency (CUE) to predict bulk SOC storage. Instead, we propose that CUE and microbial necromass should be used together to explain SOC dynamics, each influencing distinct C pools.
Evaluation of preventive medicine amongst people living with human immunodeficiency virus attending a hospital‐based care setting
Authors: Perera Manoshi , Gilroy Nicole , Lewis David A. , Ferguson Patricia E. 
Published: January 2025

AbstractBackgroundWith improved outcomes in human immunodeficiency virus (HIV) due to the use of anti‐retroviral therapy, ensuring adequate preventative healthcare and management of HIV‐related comorbidities is essential.AimsTo evaluate adherence with recommended guidelines for comorbidity and immunisation status screening amongst people living with HIV within a hospital‐based setting across two timepoints.MethodsA single‐centre retrospective case series was conducted at a hospital between 2011 and 2021. Inclusion criteria were ≥18 years, confirmed diagnosis of HIV and commencement of care within study period. Medical data were reviewed over two 12‐month periods to capture comorbidity screening and vaccination adherence using established guidelines (Australasian Society for HIV, Viral Hepatitis and Sexual Health Medicine, Alfred Screening tool and Australian Technical Advisory Group recommendations). Descriptive statistics were obtained with IBM spss (version 29.0).ResultsOf 102 patients, 82 (80.4%) were male and 55 (53.9%) born overseas. Nineteen (18.6%) patients entered in 2011, with a median of 36.5 months from service entry to exit. Within 12 months of entry 56 (55.4%) participants had influenza vaccination recorded. Within the last 12 months, 94.8% had recorded COVID‐19 vaccination, with improvements in pneumococcal (72.3%) and hepatitis B (82.8%) since service entry. Recording of comorbidity screening was >90% for blood pressure, weight and renal function at both timepoints, however, suboptimal (<10%) for substance misuse, cognitive and osteoporosis screening.ConclusionsThere is a disparity amongst comorbidity screening and documentation of vaccination status. Further measures are required to target improvements in immunisation, bone health, substance misuse and cognitive impairment screening.