bluuebunny/crossref_metadata_2025_split huggingface dataset:
A trans-Atlantic perspective on successful plantation establishment in boreal ecosystems: lessons learned and research opportunities
Authors: Thiffault Nelson , Nordin Per , Wotherspoon Amy , Hjelm Karin , Olofsson Erika 
Published: December 2024

Abstract
Boreal forests, which account for one-third of the world’s forested areas, play a crucial role in global climate regulation and provide significant ecological, economic, and cultural benefits. However, boreal ecosystems face substantial threats from climate change, leading to increased disturbances such as wildfires, insect outbreaks, and disease. In response, reforestation emerges as a vital strategy for maintaining and restoring forest cover. In this perspective paper, we summarize some recent research on plantation establishment in boreal ecosystems of eastern North America and Scandinavia, emphasizing the effectiveness of mechanical site preparation (MSP), species-specific responses, and soil nutrient dynamics. We suggest key areas for future research, including the long-term sustainability of MSP, the development of adaptive strategies to climate variability, species-specific optimization of planting techniques, and integration of technological advances. Addressing these research needs will support the development of adaptive silviculture practices that enhance boreal stands resilience and productivity, helping to meet reforestation objectives and mitigate the impacts of climate change. We aim to stimulate regional, national, and international research initiatives, contributing to the resilience and sustainability of boreal ecosystems.
Tsunami hazard induced by a submarine landslide in the Tagus delta off Lisbon (Portugal)
Authors: Ramalho I. , Omira R. , Terrinha P. 
Published: December 2024

AbstractSubmarine landslides can be a major source of tsunamis, with waves highly dependent of the properties of both the landslide and the marine domain. This study investigates the tsunamigenesis of a shallow-water submarine landslide, recently mapped at the mouth of the Tagus delta River, off Lisbon, Portugal. The Tagus delta landslide is estimated to be 8 ky old, with a depositional maximum thickness of ~ 20 m and a volume of approximately 0.27 km3, extending over more than 9 km in length and 3 km in width. We assess the tsunamigenic potential and hazard of this possible early Holocene landslide using numerical simulations over high resolution reconstructed paleo-bathymetry, and project a similar future landslide scenario under the present-day conditions. Results show that both paleo- and future landslide scenarios are tsunamigenic, posing a significant hazard to the nearest coasts of Lisbon and surrounding areas. At the source region, the modelled tsunami reached heights of 0.8 m (paleo-scenario) and 1.45 m (future-scenario), increasing to approximately 2 m (both scenarios) as it propagated towards Lisbon’s coastline. This study is a first attempt to address the tsunamigenic potential of a submarine landslide occurring in a shallow water environment of the Portuguese margin domain. The results reinforce the need to include these small, but frequent, events and their induced tsunamis in marine geo-hazard assessments of the region.
How to be a postmodal directionalist
Authors: Dixon Scott 
Published: December 2024

AbstractAccording to directionalism, non-symmetric relations are distinct from their converses. Kit Fine (2000a) argues that the directionalist faces a dilemma; they must either (i) reject the principle Uniqueness, which states that no completion (fact, state of affairs, or proposition) is a completion of more than one relation, or (ii) reject the principle Identity, which states that each completion of a relation is identical to a completion of its converse (e.g., Dante’s loving Bice is identical to Bice’s being loved by Dante). Fine’s argument has been regarded as a decisive blow to directionalism. But new strategies for replying to it can be developed with the tools of the postmodal metaphysician, who is comfortable individuating relations and their completions hyperintensionally, allowing for necessary connections between distinct entities, and making use of hyperintensional notions like essence and grounding. In what follows, I develop postmodal strategies for denying both horns of Fine’s dilemma, concluding that the postmodal directionalist need not be concerned with Fine’s argument.
Józef Tischner’s early thought as phenomenological axiology
Authors: Karpinski Andrew 
Published: December 2024

AbstractJózef Tischner, a Polish twentieth century priest and philosopher, is mostly known for his ideas relating to the theme of solidarity, as well as for his original ‘philosophy of drama’. This article examines selected aspects of his early philosophy, without which those two major contributions cannot be properly understood. I begin by a brief synopsis of three thinkers which have exerted major influence on Tischner – Edmund Husserl, Max Scheler, and Roman Ingarden. I then proceed to recount Tischner’s own early philosophy as an investigation of human self-awareness, showing how several ideas (such as ‘solidarization’) contribute to Tischner’s later thought. Finally, I offer a brief critical remark to Tischner’s work – namely, whether it is possible to argue for an ultimately axiological constitution of self-awareness, without taking a stance on the question related to the nature and existence of values.
The problem of too many mental tokens reconsidered
Authors: Kovacs David Mark 
Published: December 2024

Abstract
The Problem of Too Many Thinkers is the result, implied by several “permissive” ontologies, that we spatiotemporally overlap with a number of intrinsically person-like entities. The problem, as usually formulated, leaves open a much-neglected question: do we literally share our mental lives, i.e. each of our mental states, with these person-like entities, or do we instead enjoy mental lives that are qualitatively indistinguishable but numerically distinct from theirs? The latter option raises the worry that there is an additional Problem of Too Many Mental Tokens. This paper argues that there is indeed such a problem, at least in fission cases. In the course of articulating this problem, we will make a number of surprising discoveries about the relationship between personal persistence and the metaphysics of mental entities. We will also see that the Problem of Too Many Mental Tokens has significant epistemological and ethical implications, which will haunt us even once we have addressed the Problem of Too Many Thinkers.
Exploring research trends and patterns in leadership research: a machine learning, co-word, and network analysis
Authors: Ribeiro Marco Ferreira , da Costa Carla Gomes , Ramos Filipe Roberto , Cruz José Manuel Teixeira Santos 
Published: December 2024

AbstractLeadership is recognized as playing a crucial role in the organization’s performance and success. As a result, the scientific literature on leadership has become quite extensive, making it difficult to identify and understand the current state of research. Most literature studies focus on a specific aspect of the field or a limited time frame, providing a fragmented view of the overall landscape. Therefore, this research aims to provide new insights into the current state of research through two studies. Using advanced Natural Language Processing (NLP) techniques, the first study focuses on identifying emerging research trends in the field through a Latent Dirichlet Allocation (LDA) model, providing insights into future areas of interest and investigation. The second study centers on analyzing consolidated research patterns through co-word and network analysis, shedding light on the connections and interrelationships between leadership research topics. By applying these techniques to a comprehensive dataset of 56,547 research papers gathered from Web of Science and Scopus, this study provides a detailed understanding of the current state of leadership research and identifies potential areas for future exploration. Five research trends were identified: (1) Leadership and Digital Transformation Research (LDTR); (2) Leadership and Organizational Performance Research (LOPR); (3) Educational Leadership Research (ELR); (4) Leadership Practices and Development Research (LPDR); and (5) Gender and Diversity Leadership Research (GDLR). Combining these five research trends with the consolidated research patterns identified, we propose several research directions identified for advancing leadership studies.
The influence of the adiabatic heating coefficient on the near solidus forming process
Authors: Sajjad Muhammad , Agirre Julen , Plata Gorka , Lozares Jokin , Mendiguren Joseba 
Published: December 2024

AbstractThe Near Solidus Forming (NSF) process represents a critical method for shaping metallic components under extreme temperature conditions. When metals deform plastically, significant amounts of heat can be generated, which is due to the conversion of plastic deformation energy in the material often known is adiabatic heating. In this study, the influence of the adiabatic heating coefficient (AHC) on temperature distribution and plastic strain during NSF process is investigated. For this purpose, three industrial benchmarks previously fabricated using NSF techniques are selected to serve as representative cases for analysis. To conduct the analysis, sensitivity studies is performed at two key temperatures: 1360 °C and 1370 °C. These temperatures are chosen to capture the range of operating conditions typically encountered in industrial NSF applications. The simulation tool FORGE NXT® is utilized to investigate the potential effect of AHC on equivalent plastic strain (EPS). The range of potential AHC values considered is between 85% and 100%, as determined from a comprehensive literature survey. The study suggests that the AHC has a minimal effect on the deformation behaviour of 42CrMo4 steel at NSF condition for the studied benchmarks. The findings of this study provide the inside to the importance of AHC in the developing of a reliable Digital Twin (DT) for industrial NSF application.
CMTM6 status predicts survival in head and neck squamous cell carcinoma and correlates with PD-L1 expression
Authors: Becker Anne-Sophie , Wieder Nicolas , Zonnur Sarah , Zimpfer Annette , Krause Mareike , Schneider Björn , Strüder Daniel Fabian , Burmeister Ann-Sophie , Erbersdobler Andreas , Junghanss Christian , Maletzki Claudia 
Published: December 2024

AbstractWe retrospectively analyzed 129 treatment-naïve head and neck squamous cell carcinomas (HNSCCs) for the expression of programmed death ligand 1 (PD-L1), CKLF-like MARVEL transmembrane domain-containing 6 (CMTM6), tumor-infiltrating leukocytes (TILs), and tumor-associated macrophages (TAMs). We evaluated the relationships among these markers, human papilloma virus (HPV) status, and overall survival (OS). PD-L1 and CMTM6 (combined positive score (CPS) ≥ 1 and ≥ 5) were detected in ~ 70% of HNSCCs. HPV status had insignificant effects on marker expression. Most PD-L1-positive cases showed concomitant CMTM6 expression with comparable staining patterns. While PD-L1 and CMTM6 mRNA expression levels correlated with PD-L1 and CMTM6 protein status, no significant correlation was observed for PD-L1 and CMTM6 mRNA expression. Tumors expressing PD-L1 (p < 0.0001) and/or CMTM6 (p < 0.05) were associated with the best OS. A high density of TILs (p < 0.01), CD8+ T cells (p < 0.001), and CD68/CD163 ratio > 1 were prognostically relevant. In addition to HPV status, PD-L1 and CD8+ T cells, CMTM6 was identified as an independent prognostic factor using a multivariate Cox regression analysis. PD-L1 and CMTM6 correlated with TILs and CD8+ cells but not with HPV. Our results identified CMTM6 as an important interaction partner in the crosstalk between TILs, CD8+ T cells, and PD-L1, which mediates anticancer efficacy. Assessments of CMTM6 may be helpful for prognostic prediction, and it may serve as a reliable biomarker for immunotherapy selection.
Strong stationarity for non-smooth control problems with fractional semi-linear elliptic equations in dimension $$N\le 3$$
Authors: Kenne Cyrille , Mophou Gisèle , Warma Mahamadi 
Published: December 2024

Abstract
In this paper, we investigate the optimal control of a semi-linear fractional PDEs involving the spectral diffusion operator, or the realization of the integral fractional Laplace operator with the zero Dirichlet exterior condition, both of order s with

$$s\in (0,1)$$

s
∈
(
0
,
1
)

. The state equation contains a non-smooth nonlinearity, and the objective functional is convex in the control variable but contains non-smooth terms. As the mappings involved may not be Gâteaux differentiable, we use a regularization technique to regularize these nonlinear terms, aiming to obtain Gâteaux differentiable mappings. By employing this regularization technique, we are able to derive the first-order optimality condition for the regularized control problem by using the associated adjoint system. Furthermore, we conduct a limit analysis on the regularized term resulting in an optimality system for the non-smooth problem of C-stationary type. Subsequently, we establish a primal optimality condition, specifically B-stationarity. Under the assumption of “constraint qualification”, we derive the strong stationarity conditions for the non-smooth optimization problem with control constraints and establish the equivalence between B-stationarity and strong stationarity conditions.
Anodal High-definition Transcranial Direct Current Stimulation Over the Left (but not Right) Parietal Cortex Facilitates Mental Arithmetic
Authors: Hartmann Matthias , Dumureau Magali 
Published: December 2024

AbstractNon-invasive brain stimulation (NIBS) techniques such as transcranial direct current stimulation (tDCS) allow for investigating the functional involvement of specific brain areas in mental arithmetic. In this study, we employed for the first time high-definition (HD)-tDCS, which offers enhanced spatial precision, to explore the functional roles of the left and right intraparietal sulcus (IPS) in mental arithmetic. A total of 25 participants underwent anodal left IPS, anodal right IPS, and sham stimulation in separate sessions in counterbalanced order while solving single- and multi-step addition and subtraction problems. We found that stimulation of the left IPS, but not the right IPS or sham stimulation, improved arithmetic performance speed. These results provide further evidence for the functional involvement of the left IPS in a broad range of arithmetic tasks and highlight the potential of NIBS for cognitive enhancement.
Technology, Modernization, and Religion in Developmental Latin America: Towards an Alternative Modernity
Authors: Granda José Manuel Iglesias 
Published: December 2024

AbstractThis article starts with the general question about the role that religion played in Latin American philosophy in understanding technology in light of modernization and accelerated industrialization in the developmental periods of the twentieth century. As a first approach to the subject, the primary reference is José Gaos, one of the most prominent representatives of Mexican philosophy at the time. Gaos’ figure is especially significant for his influence on the configuration of the later Mexican philosophical panorama and his defense of a philosophical reflection in Latin America. Building on Gaos’ insights, this paper aims to demonstrate how religion, far from mere reactionism, emerged in Latin America—starting from the early 1950s—as a critical voice against bourgeois modernity. It also catalyzed the reimagining of an alternative modern culture. Our methodology involves (1) analyzing the historical and social context that Gaos’ work addresses; (2) conducting a conceptual analysis of Gaos’ ideas, with a focus on religion’s role as an explanatory and critical factor; and (3) offering an interpretation of Gaos’ ideas regarding technology and secularization as a situated diagnosis of modernity based on religion.
Prise en charge de l’incontinence urinaire d’effort non-neurogène
Authors: Grégoris Adrien , Abboud Anna-Eliane , Valerio Massimo , Perrin Andry 
Published: December 2024

RésuméL’incontinence urinaire d’effort affecte hommes et femmes, causant une perte involontaire d’urine lors de l’augmentation de la pression abdominale. Elle résulte de l’hypermobilité urétrale et/ ou de l’insuffisance sphinctérienne intrinsèque, avec un coût social et économique important en Europe. Sa prise en charge inclut des méthodes conservatrices et chirurgicales, dont ces dernières seront abordées dans cet article.Chez les femmes, les traitements incluent l’utilisation d’agents comblants pour améliorer la coaptation urétrale, les bandelettes sous-urétrales pour compenser la faiblesse des ligaments pubo-urétraux, la bandelette autologue pour les cas complexes ou après échec d’une bandelette synthétique, la suspension rétropubienne (colposuspension selon Burch) pour restaurer le support pelvien et le sphincter artificiel pour les cas d’insuffisance sphinctérienne intrinsèque ou après échec chirurgical.Chez les hommes, les options chirurgicales pour l’incontinence urinaire post-chirurgie urétro-prostatique incluent l’injection d’agents comblants pour améliorer la coaptation urétrale, les bandelettes sous-urétrales pour soutenir l’urètre bulbaire, et le sphincter artificiel pour les cas modérés à sévères, offrant une continence efficace mais avec un taux de complications plus élevé.Ces options chirurgicales présentent des avantages et des limites spécifiques, nécessitant une évaluation personnalisée. Les avancées techniques continuent d’offrir de bonnes perspectives pour le traitement de l’incontinence urinaire d’effort, soulignant l’importance d’une évaluation standardisée et d’un suivi rigoureux pour comparer efficacement les différentes méthodes.
Aiding Diagnosis and Classifying of Early Stage Osteonecrosis of the Femoral Head with Convolutional Neural Network Based on Magnetic Resonance Imaging
Authors: Liang Chen , Ma Yingkai , Li Xiang , Qin Yong , Li Minglei , Tong Chuanxin , Xu Xiangning , Yu Jinping , Wang Ren , Lv Songcen , Luo Hao 
Published: December 2024

Abstract
Introduction
The Steinberg classification system is commonly used by orthopedic surgeons to stage the severity of patients with osteonecrosis of the femoral head (ONFH), and it includes mild, moderate, and severe grading of each stage based on the area of the femoral head affected. However, clinicians mostly grade approximately by visual assessment or not at all. To accurately distinguish the mild, moderate, or severe grade of early stage ONFH, we propose a convolutional neural network (CNN) based on magnetic resonance imaging (MRI) of the hip joint of patients to accurately grade and aid diagnosis of ONFH.

Materials and Methods
T1-MRI images of patients diagnosed with early stage ONFH were collected. Three orthopedic surgeons selected 261 slices containing images of the femoral head and labeled each case with the femoral head necrosis classification. Our CNN model learned, trained, and segmented the regions of femoral head necrosis in all the data.

Results
The accuracy of the proposed CNN for femoral head segmentation is 97.73%, sensitivity is 91.17%, specificity is 99.40%, and positive predictive value is 96.98%. The diagnostic accuracy of the overall framework is 90.80%.

Conclusions
Our proposed CNN model can effectively segment the region where the femoral head is in MRI and can identify the region of early stage femoral head necrosis for the purpose of aiding diagnosis.
Blockchain Technology and Industry 5.0 synergy for sustainable development in RMG industries: an ISM and fuzzy DEMATEL approach
Authors: Al Amin Md , Baldacci Roberto 
Published: December 2024

AbstractThis research explores the contribution of Blockchain Technology and Industry 5.0 in driving sustainability within Bangladeshi Ready-Made Garments (RMG) industry, with a focus on alignment with key Sustainable Development Goals (SDGs). The study employs Interpretive Structural Modeling (ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods to identify and analyze 14 critical synergies that can drive sustainability. The ISM analysis categorizes the synergies into independent, dependent, and linkage variables, providing insights into their roles and significance within the system. Fuzzy DEMATEL further refines this understanding by evaluating the direct and indirect relationships among the linkage synergies. Key findings reveal the importance of synergies such as reverse logistics and recycling, supply chain collaboration & visibility and ethical practices in driving sustainability. This research contributes by offering a detailed analysis of how the synergy between Blockchain technology and Industry 5.0 can enhance sustainability practices in the RMG industry, providing actionable insights into the technological transformation of supply chain dynamics in support of global sustainability targets.
Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings
Authors: Lesyk Elina , Arias-Vergara Tomás , Nöth Elmar , Maier Andreas , Orozco-Arroyave Juan Rafael , Perez-Toro Paula Andrea 
Published: December 2024

AbstractUnderstanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech emotion recognition, focusing on the critical issue of limited datasets for children’s emotions. We use two databases: IEMOCAP, which contains emotional speech recordings from adults, and AIBO, which includes recordings from children. To address the dataset limitations, we employ transfer learning by training a neural network to classify adult emotional speech using a Wav2Vec model for feature extraction, followed by a classification head for the downstream task. However, the labels between IEMOCAP and AIBO do not align perfectly, presenting a challenge in emotional mapping. To tackle this, we perform inference on children’s data to examine how emotional labels in IEMOCAP correspond to those in AIBO, highlighting the complexities of cross-age emotional transfer. This approach achieved F-scores of up to 0.47. In addition, we trained male and female IEMOCAP models to determine how variations in gender within adult speech affect emotional mapping in children data. Some of our findings indicate that female samples align more with high arousal emotions, while male samples align more with low arousal emotion, underscoring the importance of gender in emotion recognition. To the best of our knowledge, this is the first study in the field of deep learning applications on emotion recognition that analyses the effects of genders and age groups on emotional mapping.