bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intersymbolic AI
Authors: Platzer André 
Published: October 2024

AbstractThis perspective piece calls for the study of the new field of Intersymbolic AI, by which we mean the combination of symbolic AI, whose building blocks have inherent significance/meaning, with subsymbolic AI, whose entirety creates significance/effect despite the fact that individual building blocks escape meaning. Canonical kinds of symbolic AI are logic, games and planning. Canonical kinds of subsymbolic AI are (un)supervised machine and reinforcement learning. Intersymbolic AI interlinks the worlds of symbolic AI with its compositional symbolic significance and meaning and of subsymbolic AI with its summative significance or effect to enable culminations of insights from both worlds by going between and across symbolic AI insights with subsymbolic AI techniques that are being helped by symbolic AI principles. For example, Intersymbolic AI may start with symbolic AI to understand a dynamic system, continue with subsymbolic AI to learn its control, and end with symbolic AI to safely use the outcome of the learned subsymbolic AI controller in the dynamic system. The way Intersymbolic AI combines both symbolic and subsymbolic AI to increase the effectiveness of AI compared to either kind of AI alone is likened to the way that the combination of both conscious and subconscious thought increases the effectiveness of human thought compared to either kind of thought alone. Some successful contributions to the Intersymbolic AI paradigm are surveyed here but many more are considered possible by advancing Intersymbolic AI.
DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks
Authors: Degeler Victoria , Hadadian Mostafa , Karabulut Erkan , Lazovik Alexander , van het Loo Hester , Tello Andrés , Truong Huy 
Published: October 2024

AbstractConventional digital twins (DT) for critical infrastructures are widely used to model and simulate the system’s state. But fundamental environment changes bring challenges for DT adaptation to new conditions, leading to a progressively decreasing correspondence of the DT to its physical counterpart. This paper introduces the DiTEC system, a Digital Twin for Evolutionary Changes in Water Distribution Networks (WDN). This framework combines novel techniques, including semantic rule learning, graph neural network-based state estimation, and adaptive model selection, to ensure that changes are adequately detected, processed and the DT is updated to the new state. The DiTEC system is tested on the Dutch Oosterbeek region WDN, with results showing the superiority of the approach compared to traditional methods.
Risk factors for treatment-related sensorineural hearing loss and hearing aid use in medulloblastoma patients: an observational cohort study
Authors: Troschel Fabian M. , Steike David Rene , Roers Julian , Kittel Christopher , Siats Jan , Parfitt Ross , Hesping Amélie E. , am Zehnhoff-Dinnesen Antoinette , Neumann Katrin , Eich Hans Theodor , Scobioala Sergiu 
Published: October 2024

Abstract
Purpose
This study aimed to analyze treatment-related risk factors for sensorineural hearing loss (SNHL) and an indication for hearing aids (IHA) in medulloblastoma patients after craniospinal radiotherapy (CSRT) and platin-based chemotherapy (PCth).

Methods
A total of 58 patients (116 ears) with medulloblastoma and clinically non-relevant pre-treatment hearing thresholds were included. Cranial radiotherapy and PCth were applied sequentially according to the HIT 2000 study protocol or post-study recommendations, the NOA-07 protocol, or the PNET (primitive neuroectodermal tumor) 5 MB therapy protocol. Audiological outcomes up to a maximum post-therapeutic follow-up of 4 years were assessed. The incidence, post-treatment progression, and time-to-onset of SNHL, defined as Muenster classification grade ≥MS2b, were evaluated. Risk factors for IHA were analyzed separately.

Results
While 39 patients received conventionally fractionated RT (CFRT; group 1), 19 patients received hyperfractionated RT (HFRT; group 2). Over a median follow-up of 40 months, 69.2% of ears in group 1 experienced SNHL ≥MS2b compared to 89.5% in group 2 (p = 0.017). In multivariable Cox regressions analysis, younger age and increased mean cochlear radiation dose calculated as the equivalent dose in 2‑Gy fractions (EQD2) were associated with time-to-onset of SNHL ≥MS2b (p = 0.019 and p = 0.023, respectively) and IHA (p < 0.001 and p = 0.016, respectively). Tomotherapy and supine positioning were associated with a lower risk for IHA in univariable modelling only (p = 0.048 and p = 0.027, respectively).

Conclusion
Young age and cochlear EQD2 Dmean ≥40 Gy are significant risk factors for the incidence, degree, and time-to-event of SNHL as well as for IHA in medulloblastoma patients.
Level-set topology optimization with PDE generated conformal meshes
Authors: Schmidt Mathias R. , Barrera Jorge L. , Mittal Ketan , Swartz Kenneth E. , Tortorelli Daniel A. 
Published: October 2024

AbstractThis paper presents a level-set topology optimization approach that uses conformal meshes for the analysis of the displacement field. The structure’s boundary is represented by the iso-contour of a level-set field discretized on a fixed background design mesh. The conformal mesh is updated for each design iteration via a PDE based mesh morphing process that identifies the set of facets in the background mesh that are homeomorphic to the boundary and relaxes the homeomorphic mesh to conform to the structure’s boundary and ensure high element quality. The conformal mesh allows for a more accurate computation of the response versus density and some level-set based methods which interpolate material properties using the volume fraction. Numerical examples illustrate the proposed approach by optimizing linear-elastic two- and three-dimensional structures, wherein insight into the performance of the mesh morphing process is provided. The examples also highlight the scalability of the approach.
ESR Essentials: radiomics—practice recommendations by the European Society of Medical Imaging Informatics
Authors: Santinha João , Pinto dos Santos Daniel , Laqua Fabian , Visser Jacob J. , Groot Lipman Kevin B. W. , Dietzel Matthias , Klontzas Michail E. , Cuocolo Renato , Gitto Salvatore , Akinci D’Antonoli Tugba 
Published: October 2024

Abstract
Radiomics is a method to extract detailed information from diagnostic images that cannot be perceived by the naked eye. Although radiomics research carries great potential to improve clinical decision-making, its inherent methodological complexities make it difficult to comprehend every step of the analysis, often causing reproducibility and generalizability issues that hinder clinical adoption. Critical steps in the radiomics analysis and model development pipeline—such as image, application of image filters, and selection of feature extraction parameters—can greatly affect the values of radiomic features. Moreover, common errors in data partitioning, model comparison, fine-tuning, assessment, and calibration can reduce reproducibility and impede clinical translation. Clinical adoption of radiomics also requires a deep understanding of model explainability and the development of intuitive interpretations of radiomic features. To address these challenges, it is essential for radiomics model developers and clinicians to be well-versed in current best practices. Proper knowledge and application of these practices is crucial for accurate radiomics feature extraction, robust model development, and thorough assessment, ultimately increasing reproducibility, generalizability, and the likelihood of successful clinical translation. In this article, we have provided researchers with our recommendations along with practical examples to facilitate good research practices in radiomics.

Key Points

Radiomics’ inherent methodological complexity should be understood to ensure rigorous radiomic model development to improve clinical decision-making.

Adherence to radiomics-specific checklists and quality assessment tools ensures methodological rigor.

Use of standardized radiomics tools and best practices enhances clinical translation of radiomics models.
Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network
Authors: Liebert Andrzej , Schreiter Hannes , Kapsner Lorenz A. , Eberle Jessica , Ehring Chris M. , Hadler Dominique , Brock Luise , Erber Ramona , Emons Julius , Laun Frederik B. , Uder Michael , Wenkel Evelyn , Ohlmeyer Sabine , Bickelhaupt Sebastian 
Published: October 2024

Abstract
Objective
To investigate how different combinations of T1-weighted (T1w), T2-weighted (T2w), and diffusion-weighted imaging (DWI) impact the performance of virtual contrast-enhanced (vCE) breast MRI.

Materials and methods
The IRB-approved, retrospective study included 1064 multiparametric breast MRI scans (age: 52 ± 12 years) obtained from 2017 to 2020 (single site, two 3-T MRI). Eleven independent neural networks were trained to derive vCE images from varying input combinations of T1w, T2w, and multi-b-value DWI sequences (b-value = 50–1500 s/mm2). Three readers evaluated the vCE images with regard to qualitative scores of diagnostic image quality, image sharpness, satisfaction with contrast/signal-to-noise ratio, and lesion/non-mass enhancement conspicuity. Quantitative metrics (SSIM, PSNR, NRMSE, and median symmetrical accuracy) were analyzed and statistically compared between the input combinations for the full breast volume and both enhancing and non-enhancing target findings.

Results
The independent test set consisted of 187 cases. The quantitative metrics significantly improved in target findings when multi-b-value DWI sequences were included during vCE training (p < 0.05). Non-significant effects (p > 0.05) were observed for the quantitative metrics on the full breast volume when comparing input combinations including T1w. Using T1w and DWI acquisitions during vCE training is necessary to achieve high satisfaction with contrast/SNR and good conspicuity of the enhancing findings. The input combination of T1w, T2w, and DWI sequences with three b-values showed the best qualitative performance.

Conclusion
vCE breast MRI performance is significantly influenced by input sequences. Quantitative metrics and visual quality of vCE images significantly benefit when multi b-value DWI is added to morphologic T1w-/T2w sequences as input for model training.

Key Points
QuestionHow do different MRI sequences impact the performance of virtual contrast-enhanced (vCE) breast MRI?
FindingsThe input combination of T1-weighted, T2-weighted, and diffusion-weighted imaging sequences with three b-values showed the best qualitative performance.
Clinical relevanceWhile in the future neural networks providing virtual contrast-enhanced images might further improve accessibility to breast MRI, the significant influence of input data needs to be considered during translational research.

Graphical Abstract
An online workshop to raise awareness of pelvic floor in track and field female athletes: a quasi-experimental study
Authors: Vico-Moreno Elena , Fernández-Domínguez Juan Carlos , Romero-Franco Natalia , Molina-Mula Jesús , González-Trujillo Antonio , Bosch-Donate Elisa 
Published: October 2024

Abstract
Introduction
Track and field is a high-impact sport that may facilitate pelvic floor dysfunction (PFD) of females. Although increasing the information may reduce deleterious habits, the traditional workshops to date did not motivate and engage the female athletes. This study aimed to evaluate the effects of an online educational workshop about pelvic floor awareness on knowledge and habits of track and field female athletes.

Methods
A total of 49 track and field athletes participated in this quasi-experimental study: 38 attended an educational workshop and 11 did not. The workshop included innovative resources, such as 3D anatomic models, practical proprioceptive exercises guided by physiotherapists, and an anonymous questions and answers section. Before and 1 month later, all the athletes fulfilled an anonymous questionnaire to assess their knowledge about urinary incontinence (UI), ano-rectal incontinence (ARI), pelvic organ prolapse (POP) and female sexual dysfunction (FSD), as well as toileting and sports habits.

Results
After attending the workshop, athletes obtained higher scores in knowledge about ARI (p = 0.019), POP (p < 0.001), and FSD (p = 0.018) compared to baseline and athletes who did not attend it. No improvements were observed in habits and knowledge about UI (p > 0.05). The athletes who reached 70% of correct responses about POP had greater number of healthy habits than the rest of the athletes.

Conclusions
An innovative educational workshop about pelvic floor increases knowledge of track and field female athletes but is insufficient to modify their habits. Sports and health professionals should design educational strategies to manage the most unknown topics about pelvic floor care, considering that the proposed methodology and innovative resources are effective to increase knowledge.
Effects of endurance exercise under hypoxic conditions on the gastric emptying rate and intestinal cell damage
Authors: Nomura Sayaka , Sumi Daichi , Nagatsuka Haruna , Suzuki Tomotaka , Goto Kazushige 
Published: October 2024

Abstract
The present study examined the effects of gastric emptying rate and intestinal cell damage following a single session of endurance exercise under “hypoxic” or “normoxic” conditions at the same relative intensity. Eleven healthy males performed two trials on different days, consisting of a 60 min run on a treadmill at 70% maximal running velocity (vMax) while inspiring hypoxic (FiO2: 14.5%; HYP) or normoxic air (FiO2: 20.9%; NOR). The average running velocity was 11.4  ±  0.7 km/h in NOR and 10.8  ±  0.5 km/h in HYP, respectively. Venous blood samples were collected to evaluate plasma intestinal fatty acid binding protein (I-FABP) as an indicator of exercise-induced intestinal cell damage. The gastric emptying rate was determined by the 13C-sodium acetate breath test. Running velocities at 70% vMax and arterial oxygen saturation were significantly lower under HYP than NOR (p < 0.001). Peak heart rate and rating of perceived exertion during exercise did not differ significantly between the trials. Maximum 13C excretion time (an indication of the gastric emptying rate) was significantly delayed in the HYP (NOR: 38.5  ±  5.0 min, HYP: 45.5  ±  9.6 min; p = 0.010). Furthermore, the score of nausea increased slightly, but increased significantly after exercise only in the HYP (p = 0.04). However, exercise-induced changes in plasma I-FABP, adrenaline, and noradrenaline concentrations did not differ significantly between the two trials. These results suggest that endurance exercise under hypoxic conditions impairs digestive function in the stomach compared to exercise under normoxic conditions performed at the same relative intensity.
Biallelic germline DDX41 variants in a patient with bone dysplasia, ichthyosis, and dysmorphic features
Authors: Sharma Prashant , McFadden Jason R. , Frost F. Graeme , Markello Thomas C. , Grange Dorothy K. , Introne Wendy J. , Gahl William A. , Malicdan May Christine V. 
Published: October 2024

AbstractDDX41 (DEAD‑box helicase 41) is a member of the largest family of RNA helicases. The DEAD-box RNA helicases share a highly conserved core structure and regulate all aspects of RNA metabolism. The functional role of DDX41 in innate immunity is also highly conserved. DDX41 acts as a sensor of viral DNA and activates the STING-TBK1-IRF3-type I IFN signaling pathway. Germline heterozygous variants in DDX41 have been reported in familial myelodysplasia syndrome (MDS)/acute myeloid leukemia (AML) patients; most patients also acquired a somatic variant in the second DDX41 allele. Here, we report a patient who inherited compound heterozygous DDX41 variants and presented with bone dysplasia, ichthyosis, and dysmorphic features. Functional analyses of the patient-derived dermal fibroblasts revealed a reduced abundance of DDX41 and abrogated activation of the IFN genes through the STING-type I interferon pathway. Genome-wide transcriptome analyses in the patient’s fibroblasts revealed significant gene dysregulation and changes in the RNA splicing events. The patient’s fibroblasts also displayed upregulation of periostin mRNA expression. Using an RNA binding protein assay, we identified DDX41 as a novel regulator of periostin expression. Our results suggest that functional impairment of DDX41, along with dysregulated periostin expression, likely contributes to this patient’s multisystem disorder.
Exploring failure evolution of anti-dip slate slope using centrifuge test and discrete element method
Authors: Weng Meng-Chia , Peng Chia-Hsun , Hung Wen-Yi , Guo Yu-Jiun 
Published: October 2024

AbstractToppling failure commonly occurs in anti-dip slate slopes due to foliation splitting and gravitational deformation. The study uses centrifuge tests and the discrete element method (DEM) to investigate the influence of foliation and existing fractures on the toppling failure evolution of anti-dip slopes. Six centrifuge tests with slate blocks obtained from an actual slope were carried out. Then, a proposed foliation model was implemented in the DEM software 3DEC to simulate the failure evolution of anti-dip slopes. The 3DEC analysis was validated by the actual failure pattern of slopes in centrifuge tests. The results indicate that the toppling failure of the anti-dip slope was initiated by existing fractures rather than the original cohesive foliation. Though the slate foliation is regarded as a weak plane in the rock mass, it retains a higher strength than the existing fracture, so the toppling failure is difficult to initiate from the cohesive foliation. The closer the fracture is to the free surface, the more pronounced the damage. In addition, the simulation indicates that the existing fracture's position also affects the anti-dip slope's failure degree. The fractures on the top propagate more easily than those on the bottom.
Circadian and sleep–wake homeostatic modulation of EEG activity during sleep and wakefulness
Authors: Cajochen Christian 
Published: October 2024

AbstractThe human sleep–wake cycle is regulated by two distinct processes: the circadian timing system (CTS) and the sleep–wake homeostatic (SWH) process. The CTS is driven by a small region in the anterior hypothalamus of the brain, which is known as the “circadian clock.” By contrast, the SWH can be conceptualized as an hourglass, whereby sleep pressure builds up during waking hours and is released during sleep. In contrast to the CTS, there is no specific brain region that controls this hourglass process. A complex modulation of these two processes affects electroencephalographic (EEG) activity throughout the 24‑h day, resulting in the emergence of specific EEG features. These features can be classified into three categories: those that show clear circadian patterns, those that are predominantly influenced by the homeostatic process, and those that show a combination of both. This review describes the EEG features quantified by spectral analysis during sleep and wakefulness derived from specific human study protocols, which enable the separation of the influence of the circadian clock and the sleep–wake hourglass process. Second, the potential for circadian and SWH modulation to influence interictal activity and seizure occurrence will be discussed, along with its implications for the diagnosis, treatment, and seizure prediction and prevention.
The presence of experienced individuals enhance the behavior and survival of reintroduced woolly monkeys in Colombia
Authors: Gómez-Muñoz Mariana , Ramírez Mónica A. , Pérez-Torres Jairo , Stevenson Pablo R. 
Published: October 2024

Abstract
Primate populations are under threat due to human activities, like illegal trafficking, requiring conservation efforts such as reintroduction programs. However, these initiatives often encounter challenges, such as aspects of individual behavior related to movement and foraging. The presence of experienced conspecifics has been suggested to improve the success of these programs. This study focuses on woolly monkeys and examines how the presence of experienced conspecifics influences the performance of reintroduced individuals. Focal animal sampling was used to collect data on proximity, diet composition, home range, and use of vertical strata of three groups of reintroduced woolly monkeys. Data was analyzed for the first 2 and 6 months after release of individuals. The results reveal that the involvement of experienced conspecifics speeds up the process of adaptation, particularly in terms of diet diversity and spatial utilization; however, differences in individual responses were also prevalent. Our findings highlight the importance of incorporating individuals with prior wild experience into reintroduction groups for improving the likelihood of success. Additionally, the study underscores the role of social learning in captive management practices, aiding in post-release behavioral adaptation and survival. This research offers valuable insights for primate conservation, emphasizing the significance of considering the presence of experienced individuals and possible social learning processes in the planning and execution of effective reintroduction efforts.
The More the Better? A Systematic Review and Meta-Analysis of the Benefits of More than Two External Representations in STEM Education
Authors: Rexigel Eva , Kuhn Jochen , Becker Sebastian , Malone Sarah 
Published: October 2024

AbstractOver the last decades, a multitude of results in educational and psychological research have shown that the implementation of multiple external representations (MERs) in educational contexts represents a valuable tool for fostering learning and problem-solving skills. The context of science, technology, engineering, and mathematics (STEM) education has received great attention because it necessitates using various symbolic (e.g., text and formula) and graphical representations (e.g., pictures and graphs) to convey subject content. Research has mainly explored effects of combining two representations, but the potential benefits of integrating more than two representations on students’ learning remain underexplored. This gap limits our understanding of promising educational practices and restricts the development of effective teaching strategies catering to students’ cognitive needs. To close this gap, we conducted a systematic review of 46 studies and a meta-analysis that included 132 effect sizes to evaluate the effectiveness of using more than two representations in STEM education and to identify moderating factors influencing learning and problem-solving. A network diagram analysis revealed that the advantages of learning and problem-solving with MERs are also applicable to more than two representations. A subsequent meta-analysis revealed that the learning with more than two representations in STEM can have advantageous effects on students cognitive load ($${\text{Hedges}}{^\prime}g =0.324,~p<.001,~95\%~\text{CI}~[0.164, 0.484]$$

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