bluuebunny/crossref_metadata_2025_split huggingface dataset:
We have never been Cartesian
Authors: Toon Adam 
Published: February 2025

Abstract
Humanism is the traditional approach in many disciplines, including history, philosophy, anthropology, and sociology. Humanists tend to assume that there is an important distinction between the knowing subject and the rest of the world. Posthumanism challenges this assumption, asking us to examine how the distinction between subject and object is constructed in the first place. To do so, posthumanists argue that we must abandon our traditional resources for understanding the knowing subject. In its place, we must adopt a radical new notion of agency that encompasses humans and nonhumans. This paper argues that, although posthumanism teaches us a valuable lesson, the real problem lies not with humanism, but with Cartesianism. To show this, I develop a new version of humanism by drawing on two anti-Cartesian strands within recent philosophy of mind: the extended mind thesis and mental fictionalism. The result is a view that allows us to retain our traditional resources for understanding the knowing subject, while recognising that the nature of that subject can change over time.
DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation
Authors: Michel Andreas , Weinmann Martin , Kuester Jannick , AlNasser Faisal , Gomez Tomas , Falvey Mark , Schmitz Rainer , Middelmann Wolfgang , Hinz Stefan 
Published: February 2025

Abstract
Detecting airborne dust in standard RGB images presents significant challenges. Nevertheless, the monitoring of airborne dust holds substantial potential benefits for climate protection, environmentally sustainable construction, scientific research, and various other fields. To develop an efficient and robust algorithm for airborne dust monitoring, several hurdles have to be addressed. Airborne dust can be opaque or translucent, exhibit considerable variation in density, and possess indistinct boundaries. Moreover, distinguishing dust from other atmospheric phenomena, such as fog or clouds, can be particularly challenging. To meet the demand for a high-performing and reliable method for monitoring airborne dust, we introduce DustNet++, a neural network designed for dust density estimation. DustNet++ leverages feature maps from multiple resolution scales and semantic levels through window and grid attention mechanisms to maintain a sparse, globally effective receptive field with linear complexity. To validate our approach, we benchmark the performance of DustNet++ against existing methods from the domains of crowd counting and monocular depth estimation using the Meteodata airborne dust dataset and the URDE binary dust segmentation dataset. Our findings demonstrate that DustNet++ surpasses comparative methodologies in terms of regression and localization capabilities.
The Effect of Laser Powder Bed Fusion Process on Ti-6Al-4V Powder
Authors: Memu Firat , Durlu Nuri , Yagmur Aydin 
Published: February 2025

Abstract
Additive manufacturing with Ti-6Al-4V laser powder bed fusion (L-PBF) processes offers significant advantages for producing high-performance components. Hence, powder reuse strategies are crucial for reducing manufacturing costs and environmental impact, and reliable part properties. This study investigates the influence of L-PBF processing on the properties of virgin, recycled, and spatter Ti-6Al-4V powders. Particle size distribution, morphology, microstructure, chemical composition, and microhardness were determined using a laser particle size analyzer, scanning electron microscopy (SEM), X-ray diffraction (XRD), and microhardness testing. Virgin powder exhibited a narrow size distribution and spherical morphology. Recycled powder showed a slightly broader distribution and increased irregularity, while spatter powder had a significantly broader distribution with large, irregular particles. Microstructural analysis revealed that all powders exhibited an acicular α′ martensite microstructure, while the presence of twins was unique to the virgin powders. The average α′ lath thickness was similar for virgin and spatter powders, with a slightly higher in the recycled powders. XRD confirmed the presence of the α′ phase, and dislocation density was highest in virgin powder and lowest in spatter powder. Microhardness measurements indicated a slight decrease in hardness for recycled powders and a wider range of hardness values for spatter powders compared to virgin powders.
Mapping the greenwashing research landscape: a theoretical and field analysis
Authors: Forliano Canio , Battisti Enrico , de Bernardi Paola , Kliestik Tomáš 
Published: February 2025

Abstract
This study provides a comprehensive overview of greenwashing research in business and management, focusing on its conceptual and theoretical foundations. Through a systematic literature review of 97 peer-reviewed articles from Scopus and Web of Science, we use bibliometric analysis to map the evolution of greenwashing studies and network analysis and identify four thematic clusters: (1) symbolic management and CSR communication, (2) environmental regulations and institutional complexity, (3) performance and sustainable practices, and (4) marketing, perception, and trust. Additionally, we perform a full-text analysis to map the theoretical frameworks employed across these clusters, revealing the dominance of macro-level theories (e.g., legitimacy, institutional, and stakeholder theories) and their cross-level interactions with meso- and micro-level approaches. By developing a multi-level theoretical framework, we provide a structured approach to understanding greenwashing across different analytical layers. Then, focusing on the theories used to investigate greenwashing, we identify some avenues for future research. This study has practical implications for understanding how greenwashing affects corporate governance, financial performance, and stakeholder trust, providing insights for enhancing transparency and accountability in sustainable business practices.
On isomorphisms of $$\mathcal{C}(K)$$ spaces and cardinal invariants of derivatives of K
Authors: Rondoš Jakub 
Published: February 2025

Abstract
We present a necessary condition for a pair of

$$\mathcal{C}(K)$$

C

(
K
)

spaces to be isomorphic in terms of topological properties of Cantor–Bendixon derivatives of K. This in particular gives completely new information about the perfect kernels of such K. In the process, we extend known lower estimates of the Banach–Mazur distance between a pair of spaces of continuous functions from the case of scattered compact spaces to a more general setting. Next, we apply this general result to deduce some new information about isomorphisms of spaces of continuous functions over Eberlein compacta of height ω + 1. Further, we show that isomorphisms of

$$\mathcal{C}(K)$$

C

(
K
)

spaces preserve the spread of K, and we also prove some new results for pairs of spaces of continuous functions whose Banach–Mazur distance is less than 3.
Optimization of Protein Extraction from Duckweed Using Different Extraction Processes
Authors: Maag Patricia , Cutroneo Sara , Tedeschi Tullia , Grüner-Lempart Sabine , Rauh Cornelia , Karslioglu Özlem Özmutlu 
Published: February 2025

Abstract
Despite its recent commercialization of duckweed, the extraction of high-quality protein presents challenges primarily in the efficiency of the extraction processes. In this study, conventional, ultrasound-assisted extraction (UAE), and ultrafiltration (UF) extraction techniques, were evaluated showing significant enhancements in protein yield, amino acid profile, and chlorophyll extraction. The highest protein release of 80.83% was achieved with a 40% amplitude applied for 10 min. UAE increased the protein yield substantially compared to conventional methods, achieving the highest yield of 41.30% with a moderate protein content of 50.91% in Lemna gibba protein concentrate. However, it comes at the cost of reduced protein purity and altered protein profiles due to co-extraction of other plant components. SDS-PAGE analysis revealed that ultrasound methods improved the extraction of chlorophyll-binding proteins (LHCB1) but decreased the efficiency of extracting RuBisCO (ribulose-1,5-bisphosphate carboxylase/oxygenase) subunits compared to non-ultrasound methods. Lysine and tryptophan were identified as limiting essential amino acids (EAA), except when ultrasound methods were applied, which raised the levels partially above the recommended amino acid score (AAS) threshold of 1 for adults. The study established a nitrogen-to-protein conversion factor for duckweed at ~ 5.8, aligning with RuBisCO-based calculations and providing a more accurate tool for future nutritional assessments of duckweed proteins.
Could the Systemic Inflammatory Response Index be a Marker for the Non-Dipper Pattern in Newly Diagnosed Hypertensive Patients?
Authors: Kaplangoray Mustafa , Toprak Kenan , Caglayan Cuneyt , Deveci Edhem , Celik Enes , Uyan Umut , Aydın Cihan 
Published: February 2025

Abstract
Systemic inflammatory response index (SIRI), is associated with prognosis in coronary artery disease (CAD), heart failure (HF), and acute myocardial infarction. This study investigated the relationship between SIRI and non-dipper hypertension. The study retrospectively included a total of 254 naive, newly diagnosed hypertensive individuals based on ambulatory blood pressure monitoring (ABPM), containing 166 dippers (DHT) and 88 non-dippers (NDHT). The SIRI value of all patients was calculated based on neutrophil, monocyte, and lymphocyte counts. The average age of study population was 50.7 ± 9.4 years old, and the male ratio was 68.5%. Compared with DHT, patients in the NDHT group had higher SIRI, monocyte to HDL-C ratio (MHR), neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), C-reactive protein (CRP), and neutrophil count, while high-density lipoprotein cholesterol (HDL-C) and lymphocyte count were lower (p < 0.05). The left ventricular mass index (LVMI) was higher in the NDHT group (p < 0.05). Multivariate logistic regression analysis showed that SIRI, LVMI, and HDL-C were independent predictor factors for NDHT. ROC curve analysis determined the optimal SIRI cut-off value for predicting NDHT diagnosis to be 2.41 (sensitivity 69.3%, specificity 64.5%, area under the receiver operating characteristic curve, 0.743; p < 0.001). The AUC values obtained for SIRI, MHR, NLR, PLR, HDL-C, and LVMI parameters in the ROC curve analysis were compared pairwise. The results demonstrated that SIRI’s discriminative capacity in predicting NDHT was superior to all other indices. SIRI is an independent and significant predictor factor for NDHT and is superior in predicting NDHT diagnosis compared with HDL-C, MHR, LVMI, NLR, and PLR.

Graphical Abstract

Relationship between SIRI and non-dipper hypertension. Can inflammation-based hematological parameters serve as an alternative to ambulatory blood pressure monitoring in the diagnosis of non-dipper hypertension? LAd Left Atrium Diameter; HDL-C High-Density Lipoprotein Cholesterol; LDL-C Low-Density Lipoprotein Cholesterol; NLR Neutrophil/Lymphocyte Ratio; PLR Platelet/Lymphocyte Ratio; SIRI Systemic İnflammatory Response İndex; LVMI Left Ventricular Mass İndex; MHR Monocyte To Hdl-C Ratio
Characterization of lncRNAs contributing to drug resistance in epithelial ovarian cancer
Authors: Siahestalkhi Ehteram Khademi , Demiray Aydin , Yaren Arzu , Demiray Atike Gökçen , Tan Seçil , Akça Hakan 
Published: February 2025

Abstract
Epithelial ovarian cancer (EOC) is the second leading cause of death among women with gynecological cancers, particularly in high-income countries. Despite significant advancements in molecular oncology and an initially positive response to primary chemotherapy, the development of drug resistance remains a major challenge in the effective management of EOC. Consequently, there is an urgent need for innovative biological markers that can enable early diagnosis and provide more accurate predictions of recurrence risk in ovarian cancer patients. This study investigated the expression profiles of seven specific long noncoding RNAs (lncRNAs)—SNHG7, TUG1, XIST1, PRLB, TLR8-AS1, ZFAS1, and PVT1—associated with epithelial ovarian cancer and their relationship with drug resistance. To achieve this, drug-resistant subtypes of aggressive EOC cell lines, including carboplatin/paclitaxel-resistant OVCAR3 and SKOV3 lines, were developed. The expression profiles of the selected lncRNAs were quantitatively analyzed using RT-qPCR across various ovarian cancer cell lines and in serum samples from 25 patients before chemotherapy, six months after treatment, and 23 healthy controls. The findings revealed that the target lncRNAs were significantly upregulated under drug-resistant conditions and in post-chemotherapy serum samples, suggesting their involvement in a complex regulatory network. These results highlight the critical roles of lncRNAs in the progression and treatment response of EOC, positioning them as potential therapeutic targets and biomarkers for early diagnosis and treatment stratification. Identifying reliable lncRNA biomarkers could enable the early detection of patients at risk for developing drug resistance, thereby facilitating personalized treatment strategies to improve patient outcomes and survival rates.
Taxonomic implications of leaf anatomy in Thai Smilax (Smilacaceae)
Authors: Kladwong Pornchai , Chantaranothai Pranom , Simpson David A. 
Published: February 2025

Summary
Observations and phenetic analyses of the leaf anatomy of 23 Smilax species from Thailand were carried out to assess the utility of anatomical characters in elucidating the taxonomy of the genus. The outline of the petiole in transverse section is circular or elliptic. The abaxial outline of the midrib is rounded, acute or attenuate. Parenchymatous, sclerenchymatous and sclereid cells are observed in ground tissues. The number of vascular bundles ranged from 8 – 27 in the petioles and 2 – 11 in the midribs. The vascular bundles are surrounded by sclerenchymatous or parenchymatous cells. The mesophyll consists of 1 – 4 cell layers in the palisade part and 3 – 10 cell layers in the spongy part. Papillae are observed on the abaxial leaf surfaces of some species. Idioblast cells containing raphides are usually found in the ground tissue of the petioles, midribs and mesophylls. Epidermal cells are jigsaw-like or irregular in shape. Prismatic crystals are observed in the leaf epidermis. Stomata are anomocytic. The phenetic study was based on 11 anatomical characters using Principal Components Analysis and Discriminant Analysis to demonstrate the suitability of the classification of the studied species. Significant characteristics are the marginal outlines and the numbers of vascular bundles of the petioles, the abaxial outlines of the petioles and midribs, the numbers of cell layers of the spongy mesophyll, epidermal cell shapes and lamina types (amphistomatic or hypostomatic). The species are classified into three groups. Group I comprises three species, S. blumei, S. leucophylla and S. ovalifolia. Group II comprises 10 species, S. bracteata, S. china, S. glabra, S. luzonensis, S. microphylla, S. pertenuis, S. polyandra, S. polyacantha, S. seisuiensis and S. verticalis. Group III comprises 10 species, S. asiatica, S. calophylla, S. extensa, S. hemsleyana, S. inversa, S. lanceifolia, S. megacarpa, S. myosotiflora, S. perfoliata and S. prolifera. Descriptions of the groups and keys to the species within each group, based on the anatomical characters, are provided. Our analyses suggest that further investigation of the anatomical groups, using taxa from a broader distributional range, will be needed to clarify the relationships between the groups and the currently recognised sections.
Postbiotic Supplementation Increases Amino Acid Absorption from Plant-Based Meal: A Placebo-Controlled, Randomized, Double-Blind, Crossover Study
Authors: Florez Christine M. , Zaragoza Javier , Prather Jessica , Parra Mandy , Davis Jaci , Vargas Amie , Ross Audrey , Jäger Ralf , Purpura Martin , Guglielmetti Simone , Tinsley Grant M. , Taylor Lem 
Published: February 2025

Abstract
Supplementation of probiotic strains can enhance the absorption of amino acids from protein in the gut. The purpose of this study was to assess if supplementation of a multi-strain probiotic or a postbiotic, consisting of the same strains, would alter the absorption of individual and total amino acids following ingestion of a plant-based meal. Sixteen male participants consumed either probiotic (PRO) or postbiotic (cells inactivated by γ-irradiation; POST), both consisting of L. paracasei LP-DG® (CNCM I-1572) plus L. paracasei LPC-S01 (DSM 26760), or a placebo (PLA) for 2 weeks in a randomized, double-blind, crossover design study separated by a 4-week washout period. During the testing session, blood samples were taken at baseline, 30-, 60-, 120-, and 180-min post-ingestion of a plant-based vegan burger patty. Plasma amino acid levels were analyzed, and percent changes from baseline were assessed using linear mixed-effects models, with the PLA condition as the reference group. There was statistically significant POST condition-by-time interactions for percent changes in alanine, asparagine, citrulline, cystine, glycine, methionine, proline, and total amino acids (p < 0.05, for all). Additionally, there was a statistically significant condition (PRO) by time interactions for cystine (p = 0.02). Two weeks of POST supplementation resulted in significant improvements in amino acid absorption profiles for various individual amino acids and total amino acids compared to PLA. This is the first study to report improved amino acid absorption from a mixed macronutrient meal following a period of postbiotic supplementation.
Virtual Cancer Genomics: An Accessible and Effective Approach to Research Training for Undergraduates
Authors: Gerace Erica L. , Wojiski Sarah 
Published: February 2025

Abstract
To diversify the cancer research workforce, it is necessary to broaden the accessibility of audience appropriate training programs. Cancer research training opportunities for undergraduates are often geographically bound and have limited enrollment capacities. To address this problem, the Genomic Education team at The Jackson Laboratory designed a free, 2-week, virtual short course in cancer genomics open to students across the USA. Each summer students learn foundational concepts in cancer genomics while gaining valuable exposure to a range of careers in the field. We developed recruitment strategies prioritizing students who are underrepresented in research and successfully scaled the course without compromising the student experience by creating tiered levels of engagement and flexibility through a mix of synchronous and interactive asynchronous activities. This approach accommodates students who work or are otherwise unable to participate in mentored research away from their home institution. In addition to 1-h live sessions designed for didactic content delivery and interaction with researchers and clinicians, the course offers participants in the highest tier of engagement collaboration in small groups on an inquiry project at the intersection of cancer genomics and patient care. Formal assessment of student attitudes indicates significant benefits and gains from participation in this course. Greater than ninety percent of surveyed students indicated the course was an effective way to learn about cancer genomics, had a positive effect on their interest in science, and provided clarification of their career path, which attests to the value of creating accessible training formats for undergraduates who wish to engage in biomedicine.
Alternative proofs of the GNKD and KKMS lemmas: a game-theoretic underpinning
Authors: Khan M. Ali , McLean Richard P. , Uyanik Metin 
Published: February 2025

Abstract
In this paper, we provide alternative proofs of fundamental results of Walrasian general equilibrium theory, and of cooperative game theory, by viewing them as results pertaining to a two-person qualitative or a one-person generalized game: in short, by giving them a game-theoretic underpinning. Under the first category, we have the Gale–Nikaido–Kuhn–Debreu (GNKD) lemma in mind, and under the second, the Knaster–Kuratowski–Mazurkiewicz–Shapley (KKMS) lemma.
Using an AI-Nurse to Help Teach Graduating Medical Students to Take Overnight Call
Authors: Weaver Christina , Caputo Nicholas J. , Yost Connor , Hauert Scott A. 
Published: February 2025

Abstract
Artificial intelligence (AI) can help prepare graduating medical students for responding to nursing texts, something few interns are prepared to do on day 1 of residency. An AI-nurse could enhance that preparation by paging and corresponding with fourth-year medical students, requesting urgent orders during an overnight on-call simulation.
Multi-physics simulation of a material extrusion-based additive manufacturing process: towards understanding stress formation in the printed strand
Authors: Lukhi Mehul , Mittermeier Christoph , Kiendl Josef 
Published: February 2025

Abstract
The application of material extrusion methodologies in the fabrication of thermoplastic components frequently entails many notable challenges, such as shrinkage, warpage, and delamination. During the extrusion process, there is an uneven cooling gradient between the layers. As a result, this causes a component to be distorted. This deformation is observed as the corners of a component rise above the printing bed. However, printing a single-layer strand and then submerging it in hot water results in a noticeable distortion. This issue is explained, and it is investigated using simulations and experiments. The primary objective of this study is to conduct a numerical simulation of the extrusion process, with a specific emphasis on analyzing the stresses in the printed strand. The simulations are conducted utilizing the finite element approach, where the arbitrary Lagrangian–Eulerian method is employed to solve the free surface. Stress analysis entails solving the non-isothermal thermo-mechanical flow problem. The material extrusion process is simulated using generalized Newtonian and viscoelastic models. The present work aims to examine the spatial distribution of stresses inside the printed strand and its corresponding cross-sectional area. This study investigates the impact of several printing process parameters on stresses in the printed strand, including bed temperature, nozzle temperature, and printing speed. An experimental investigation was undertaken to examine the influence of printing speed on the degree of bending shown by the printed strand, with the aim of corroborating the results obtained through simulation. This study’s findings provide valuable insights into the stresses experienced by the printed strand.