bluuebunny/crossref_metadata_2025_split huggingface dataset:
SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Authors: Ma Congcong , Mi Jiaqi , Gao Wanlin , Tao Sha 
Published: April 2024

AbstractImage sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the performance of downstream learning tasks in widespread small-sample scenarios. In recent years, GAN-based image augmentation methods have gained significant attention and research focus. They have achieved remarkable generation results on large-scale datasets. However, their performance tends to be unsatisfactory when applied to datasets with limited samples. Therefore, this paper proposes a semantic similarity-based small-sample image augmentation method named SSGAN. Firstly, a relatively shallow pyramid-structured GAN-based backbone network was designed, aiming to enhance the model’s feature extraction capabilities to adapt to small sample sizes. Secondly, a feature selection module based on high-dimensional semantics was designed to optimize the loss function, thereby improving the model’s learning capacity. Lastly, extensive comparative experiments and comprehensive ablation experiments were carried out on the “Flower” and “Animal” datasets. The results indicate that the proposed method outperforms other classical GANs methods in well-established evaluation metrics such as FID and IS, with improvements of 18.6 and 1.4, respectively. The dataset augmented by SSGAN significantly enhances the performance of the classifier, achieving a 2.2% accuracy improvement compared to the best-known method. Furthermore, SSGAN demonstrates excellent generalization and robustness.
Efficient Visual Metaphor Image Generation Based on Metaphor Understanding
Authors: Su Chang , Wang Xingyue , Liu Shupin , Chen Yijiang 
Published: April 2024

AbstractMetaphor has significant implications for revealing cognitive and thinking mechanisms. Visual metaphor image generation not only presents metaphorical connotations intuitively but also reflects AI’s understanding of metaphor through the generated images. This paper investigates the task of generating images based on text with visual metaphors. We explore metaphor image generation and create a dataset containing sentences with visual metaphors. Then, we propose a visual metaphor generation image framework based on metaphor understanding, which is more tailored to the essence of metaphor, better utilizes visual features, and has stronger interpretability. Specifically, the framework extracts the source domain, target domain, and metaphor interpretation from metaphorical sentences, separating the elements of the metaphor to deepen the understanding of its themes and intentions. Additionally, the framework introduces image data from the source domain to capture visual similarities and generate visual enhancement prompts specific to the domain. Finally, these prompts are combined with metaphorical interpretation sentences to form the final prompt text. Experimental results demonstrate that this approach effectively captures the essence of metaphor and generates metaphorical images consistent with the textual meaning.
Examining pre-service teachers’ feedback on low- and high-quality written assignments
Authors: Máñez Ignacio , Lipnevich Anastasiya A. , Lopera-Oquendo Carolina , Cerdán Raquel 
Published: April 2024

AbstractAssessing student writing assignments and providing effective feedback are a complex pedagogical skill teacher candidates need to master. Scarce literature has closely examined the type of feedback that pre-service high-school teachers spontaneously deliver when assessing student writings, which is the main goal of our study. In a sample of 255 high school teacher candidates, we examined the type of feedback that they provided when assessing two writing assignments that differed in quality. One thousand eight hundred thirty-five comments were analyzed and coded into 11 sub-categories. Results showed that candidates’ feedback not only focused on task performance but also on the writing process. Although candidates provided critical and past-oriented evaluations frequently, they also crafted feedback in a neutral tone and included future-oriented suggestions. Further, feedback varied as a function of candidates’ gender, academic discipline, and students’ quality of writing. Teacher training programs may use this information to design resources to address nuances of feedback provision.
Inclusion Relations Among Fractional Orlicz-Sobolev Spaces and a Littlewood-Paley Characterization
Authors: Breit Dominic , Cianchi Andrea 
Published: April 2024

Abstract
Embeddings among fractional Orlicz-Sobolev spaces with different smoothness are characterized. In particular, besides recovering standard embeddings for classical fractional Sobolev spaces, novel results are derived in borderline situations where the latter fail. For instance, limiting embeddings of Pohozhaev-Trudinger-Yudovich type into exponential spaces are offered. The equivalence of Gagliardo-Slobodeckij norms in fractional Orlicz-Sobolev spaces to norms defined via Littlewood-Paley decompositions, oscillations, or Besov type difference quotients is established as well. This equivalence, of independent interest, is a key tool in the proof of the relevant embeddings. They also rest upon a new optimal inequality for convolutions in Orlicz spaces.
Logicality and the picture theory of language
Authors: Trinh Tue 
Published: April 2024

AbstractI argue that there is tension in Wittgenstein’s position on trivialities (i.e. tautologies and contradictions) in the Tractatus, as it contains the following claims: (A) sentences are pictures; (B) trivialties are not pictures; (C) trivialities are sentences. A and B follow from the “picture theory” of language which Wittgenstein proposes, while C contradicts it. I discuss a way to resolve this tension in light of Logicality, a hypothesis recently developed in linguistic research. Logicality states that trivialities are excluded by the grammar, and that under the right analysis sentences which look trivial are in fact contingent. The tools necessary to support Logicality, I submit, were not available to Wittgenstein at the time, which explains his commitment to C. I end the paper by commenting on some points of contact between analytic philosophy and the generative enterprise in linguistics which are brought into relief by the discussion.
Factor XI: structure, function and therapeutic inhibition
Authors: Ali Ahmed E. , Becker Richard C. 
Published: April 2024

AbstractArterial and venous thromboembolism is a major medical concern that requires therapeutic anticoagulation in various medical fields to prevent its drastic consequences. Despite significant advances in anticoagulant therapy, thrombosis remains a leading cause of morbidity and mortality worldwide. Traditional anticoagulants like heparin and vitamin K antagonists (VKAs) have shown efficacy in preventing and treating thrombosis but come with an inherent risk of bleeding due to their non-specific inhibition of multiple coagulation factors. Subsequent direct oral anticoagulants (DOACs), targeting specific factors such as Xa or thrombin, demonstrated improved safety profiles compared to VKAs, yet bleeding remains a concern. Accordingly, research is focused on developing anticoagulants with improved safety profiles. A safer class of anticoagulants would have broad appeal. The intrinsic pathway of coagulation, involving factor XI (FXI), has attracted attention as a potential target for safer anticoagulants. Preclinical studies and epidemiological data indicate that FXI deficiency or inhibition protects against thrombosis with minimal bleeding. Current research involves evaluating various FXI-directed strategies, and phase 2 studies have shown promising results in orthopedic surgery, atrial fibrillation, end-stage renal disease (ESRD), myocardial infarction, and ischemic stroke. Several agents, such as antisense oligonucleotides, monoclonal antibodies, small synthetic molecules, natural peptides, and aptamers, have been developed to inhibit FXI at different stages, offering potentially safer alternatives to traditional anticoagulants. However, the optimal balance between preventing thrombosis and the risk of bleeding associated with FXI inhibitors requires validation through extensive phase 3 clinical trials using definite clinical endpoints. Several of such trials are currently underway or planned to define the role of FXI inhibitors in clinical practice and determine the most suitable FXI inhibitor for each specific indication. The current review highlights the rationale behind developing FXI inhibitors, presenting the most advanced agents in development, summarizing completed clinical trials, and discussing ongoing research efforts.
Magnetic Resonance Relaxation in Heterogeneous Materials is Analogous to First-Order Chemical Reaction
Authors: Afrough Armin 
Published: April 2024

AbstractBiological tissue, pharmaceutical tablets, wood, porous rocks, catalytic reactors, concrete, and foams are examples of heterogeneous systems that may contain one or several fluid phases. Fluids in such systems carry chemical species that may participate in chemical reactions in the bulk of a fluid, as homogeneous reactions, or at the fluid/fluid or fluid/solid interfaces, as heterogeneous reactions. Magnetic resonance relaxation measures the return of 1H nuclear magnetization in chemical species of these fluids to an equilibrium state in a static magnetic field. Despite the perceived difference between reaction–diffusion and relaxation–diffusion in heterogeneous systems, similarities between the two are remarkable. This work draws a close parallel between magnetic resonance relaxation–diffusion and chemical reaction–diffusion for elementary unitary reaction $${\text{A}}\to {\text{B}}$$

A
→
B

in a dilute solution—both in heterogeneous systems. A striking similarity between the dimensionless numbers that characterize their relevant behavior is observed: the Damköhler number of the second kind $${{\text{Da}}}^{{\text{II}}}$$

Da

II

for reaction and the Brownstein–Tarr number $${{\text{BT}}}_{i}$$

BT
i

for relaxation. The new vision of analogy between reaction- and magnetic resonance relaxation–diffusion in heterogeneous systems encourages the exploitation of similarities between reaction and relaxation processes to noninvasively investigate the dynamics of chemical species and reactions. One such example of importance in chemical engineering is provided for solid–fluid reaction in packed beds.
The Tacitly Situated Self: From Narration to Sedimentation and Projection
Authors: Colombetti Giovanna , Bogotá Juan Diego 
Published: April 2024

AbstractRecent analytic-philosophical works in the field of situated cognition have proposed to conceptualize the self as deeply entwined with the environment, and even as constituted by it. A common move has been to characterize the self in narrative terms, and then to argue that the narrative self is partly constituted by narratives about the past that are scaffolded (shaped and maintained) by, or distributed over, a variety of objects that can rekindle episodic memories. While we are sympathetic to these approaches, here we propose a different strategy to situate the self—one which can be seen as complementing the narrative one, and which draws from concepts and ideas central to the phenomenological-existentialist tradition. We suggest, first, that the self has a sense of its past not just via narratives and episodic memories, but in virtue of being embodied and thus, importantly, sedimented (in other words, it has, or rather is, a body memory). Embodiment and sedimentation, in turn, always necessarily imply an environment or a situation, entailing that the self is also inherently situated. Second, we discuss the future-oriented dimension of selfhood, and argue that we understand ourselves as projected into the future, again not necessarily only narratively and reflectively, but also tacitly, in a bodily and inherently situated way.
Deep learning in two-dimensional materials: Characterization, prediction, and design
Authors: Meng Xinqin , Qin Chengbing , Liang Xilong , Zhang Guofeng , Chen Ruiyun , Hu Jianyong , Yang Zhichun , Huo Jianzhong , Xiao Liantuan , Jia Suotang 
Published: April 2024

AbstractSince the isolation of graphene, two-dimensional (2D) materials have attracted increasing interest because of their excellent chemical and physical properties, as well as promising applications. Nonetheless, particular challenges persist in their further development, particularly in the effective identification of diverse 2D materials, the domains of large-scale and high-precision characterization, also intelligent function prediction and design. These issues are mainly solved by computational techniques, such as density function theory and molecular dynamic simulation, which require powerful computational resources and high time consumption. The booming deep learning methods in recent years offer innovative insights and tools to address these challenges. This review comprehensively outlines the current progress of deep learning within the realm of 2D materials. Firstly, we will briefly introduce the basic concepts of deep learning and commonly used architectures, including convolutional neural and generative adversarial networks, as well as U-net models. Then, the characterization of 2D materials by deep learning methods will be discussed, including defects and materials identification, as well as automatic thickness characterization. Thirdly, the research progress for predicting the unique properties of 2D materials, involving electronic, mechanical, and thermodynamic features, will be evaluated succinctly. Lately, the current works on the inverse design of functional 2D materials will be presented. At last, we will look forward to the application prospects and opportunities of deep learning in other aspects of 2D materials. This review may offer some guidance to boost the understanding and employing novel 2D materials.
Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models
Authors: Sheen Justin , Curtin Lee , Finley Stacey , Konstorum Anna , McGee Reginald , Craig Morgan 
Published: April 2024

AbstractMathematical modelling applied to preclinical, clinical, and public health research is critical for our understanding of a multitude of biological principles. Biology is fundamentally heterogeneous, and mathematical modelling must meet the challenge of variability head on to ensure the principles of diversity, equity, and inclusion (DEI) are integrated into quantitative analyses. Here we provide a follow-up perspective on the DEI plenary session held at the 2023 Society for Mathematical Biology Annual Meeting to discuss key issues for the increased integration of DEI in mathematical modelling in biology.
Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest
Authors: Nakaki Yu , Fukumoto Wataru , Higashibori Haruka , Kawashita Ikuo , Nakamura Yuko , Awai Kazuo 
Published: April 2024

Abstract
Purpose
Postmortem CT (PMCT) is used widely to identify the cause of death. However, its diagnostic performance in cases of natural death from out-of-hospital cardiac arrest (OHCA) may be unsatisfactory because the cause tends to be cardiogenic and cannot be detected on PMCT images. We retrospectively investigated the diagnostic performance of PMCT in the diagnosis of natural death from OHCA and compared it to that of unnatural death.

Materials and methods
Our series included 450 cases; 336 were natural- and 114 were unnatural death cases. Between 2018 and 2022 all underwent non-contrast PMCT to identify the cause of death. Two radiologists reviewed the PMCT images and categorized them as diagnostic (PMCT alone sufficient to determine the cause of death), suggestive (the cause of death was suggested but additional information was needed), and non-diagnostic (the cause of death could not be determined on PMCT images). The diagnostic performance of PMCT was defined by the percentage of diagnosable and suggestive cases and compared between natural- and unnatural death cases. Interobserver agreement for the cause of death on PMCT images was also assessed with the Cohen kappa coefficient of concordance.

Results
The diagnostic performance of PMCT for the cause of natural- and unnatural deaths from OHCA was 30.3% and 66.6%, respectively (p < 0.01). The interobserver agreement for the cause of natural- and unnatural deaths on PMCT images was very good with kappa value 0.92 and 0.96, respectively.

Conclusion
As PMCT identified the cause of natural death by OHCA in only 30% of cases, its diagnostic performance must be improved.
Möglichkeitsräume für Antisemitismus? Zur Öffnung politisch-kultureller Gelegenheitsstrukturen während der Eskalationsphasen des „Nahostkonflikts“
Authors: Beyer Heiko , Goldkuhle Bjarne 
Published: April 2024

ZusammenfassungDer Beitrag untersucht, inwiefern sich der „Nahostkonflikt“ auf das Sicherheitsgefühl von in Deutschland lebenden Jüdinnen und Juden auswirkt. Ausgehend vom Theorieansatz der „politisch-kulturellen Gelegenheitsstrukturen“ untersuchen wir, ob das „Nahostkonflikt“ bezogene Sicherheitsgefühl davon abhängt, wie offen oder geschlossen diese Strukturen von den (potenziell) Betroffenen wahrgenommen werden. Unsere Befunde zeigen, dass je günstiger die Gelegenheiten für antisemitische Mobilisierung erscheinen, desto negativer wirkt sich der „Nahostkonflikt“ auf die hiesige jüdische Gemeinschaft aus, weil in der Wahrnehmung der Betroffenen antisemitische Übergriffe nicht angemessen thematisiert und juristisch verfolgt werden. Mittels Daten einer Online-Befragung von in Deutschland lebenden Jüdinnen und Juden (n = 295) weisen wir nach, dass vor allem die Befürchtung, die Bevölkerungsmeinung gegenüber Jüdinnen und Juden in Deutschland hinge mit dem sogenannten „Nahostkonflikt“ eng zusammen, zu einem stärkeren „Nahostkonflikt“ bezogenen Bedrohungsgefühl beiträgt. Misstrauen in die Fähigkeit von Gerichten und Medien, auf Antisemitismus angemessen zu reagieren, sind weitere statistisch signifikante Korrelate.
Interdiffusion Coefficients and Strengthening Effects of Nb, Ta, and Zr in the α2-Ti3Al Phase
Authors: Haußmann L. , Bresler J. , Neumeier S. , Pyczak F. , Göken M. 
Published: April 2024

AbstractThe creep properties of fully lamellar γ/α2 titanium aluminides can be significantly improved by alloying with Nb, Ta or Zr. While the influence of these alloying elements on the γ-phase has already been examined, their diffusivity and strengthening properties in the α2-phase are still lacking. In order to study the effect of Nb, Ta and Zr in α2-Ti3Al, the alloys Ti-33Al, Ti-33Al-5Nb, Ti-33Al-5Ta and Ti-33Al-5Zr were investigated using a diffusion couple approach and strain rate jump tests. The results show that Zr diffuses the fastest, followed by Nb and Ta. Furthermore, these alloying elements also increase the strength compared to a binary Ti-33Al alloy, from which Zr leads to the highest strength increase followed by Ta and Nb. The lower diffusivity of Ta becomes increasingly important at higher temperatures and lower strain rates resulting in a higher strengthening potential than Nb and Zr under such conditions.
Biomechanical Characterization of Retinal Pigment Epitheliums Derived from hPSCs Using Atomic Force Microscopy
Authors: Herardot Elise , Liboz Maxime , Lamour Guillaume , Malo Michel , Plancheron Alexandra , Habeler Walter , Geiger Camille , Frank Elie , Campillo Clément , Monville Christelle , Ben M’Barek Karim 
Published: April 2024

AbstractThe retinal pigment epithelium (RPE), a multifunctional cell monolayer located at the back of the eye, plays a crucial role in the survival and homeostasis of photoreceptors. Dysfunction or death of RPE cells leads to retinal degeneration and subsequent vision loss, such as in Age-related macular degeneration and some forms of Retinitis Pigmentosa. Therefore, regenerative medicine that aims to replace RPE cells by new cells obtained from the differentiation of human pluripotent stem cells, is the focus of intensive research. However, despite their critical interest in therapy, there is a lack of biomechanical RPE surface description. Such biomechanical properties are tightly related to their functions. Herein, we used atomic force microscopy (AFM) to analyze both the structural and mechanical properties of RPEs obtained from four cell lines and at different stages of epithelial formation. To characterize epitheliums, we used apical markers in immunofluorescence and showed the increase of transepithelial resistance, as well as the ability to secrete cytokines with an apico-basal polarity. Then, we used AFM to scan the apical surface of living or fixed RPE cells. We show that RPE monolayers underwent softening of apical cell center as well as stiffening of cell borders over epithelial formation. We also observed apical protrusions that depend on actin network, suggesting the formation of microvilli at the surface of RPE epitheliums. These RPE cell characteristics are essential for their functions into the retina and AFM studies may improve the characterization of the RPE epithelium suitable for cell therapy.
Graphical Abstract
Hypertension and diabetes, but not leptin and adiponectin, mediate the relationship between body fat and chronic kidney disease
Authors: Lengton Robin , Dekker Friedo W. , van Rossum Elisabeth F. C. , de Fijter Johan W. , Rosendaal Frits R. , van Dijk Ko Willems , Rabelink Ton J. , Le Cessie Saskia , de Mutsert Renée , Hoogeveen Ellen K. 
Published: April 2024

Abstract
Purpose
Obesity may promote kidney damage through hemodynamic and hormonal effects. We investigated the association between body mass index (BMI), total body fat (TBF) and chronic kidney disease (CKD) and whether hypertension, diabetes, leptin and adiponectin mediated these associations.

Methods
In this cross-sectional analysis of the Netherlands Epidemiology of Obesity study, 6671 participants (45–65 y) were included. We defined CKD as eGFR <60 ml/min/1.73 m2 and/or moderately increased albuminuria. The percentage of mediation was calculated using general structural equation modeling, adjusted for potential confounding factors age, sex, smoking, ethnicity, physical activity and Dutch healthy diet index.

Results
At baseline mean (SD) age was 56 (6), BMI 26.3 (4.4), 44% men, and 4% had CKD. Higher BMI and TBF were associated with 1.08 (95%CI 1.05; 1.11) and 1.05-fold (95%CI 1.02; 1.08) increased odds of CKD, respectively. As adiponectin was not associated with any of the outcomes, it was not studied further as a mediating factor. The association between BMI and CKD was 8.5% (95%CI 0.5; 16.5) mediated by diabetes and 22.3% (95%CI 7.5; 37.2) by hypertension. In addition, the association between TBF and CKD was 9.6% (95%CI −0.4; 19.6) mediated by diabetes and 22.4% (95%CI 4.2; 40.6) by hypertension. We could not confirm mediation by leptin in the association between BMI and CKD (35.6% [95%CI −18.8; 90.3]), nor between TBF and CKD (59.7% [95%CI −7.1; 126.6]).

Conclusion
Our results suggest that the relations between BMI, TBF and CKD are in part mediated by diabetes and hypertension.