bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a novel gut microphysiological system that facilitates assessment of drug absorption kinetics in gut
Authors: Imaoka Tomoki , Onuki-Nagasaki Reiko , Kimura Hiroshi , Tai Kempei , Ishii Mitsuharu , Nozue Ayaka , Kaisaki Ikuko , Hoshi Misa , Watanabe Kengo , Maeda Kazuya , Kamizono Takashi , Yoshioka Takahiro , Fujimoto Takashi , Satoh Taku , Nakamura Hiroko , Ando Osamu , Kusuhara Hiroyuki , Ito Yuzuru 
Published: December 2024

AbstractThere is an urgent need for novel methods that can accurately predict intestinal absorption of orally administered drugs in humans. This study aimed to evaluate the potential of a novel gut microphysiological system (MPS), gut MPS/Fluid3D-X, to assess the intestinal absorption of drugs in humans. The gut MPS/Fluid3D-X model was constructed using a newly developed flow-controllable and dimethylpolysiloxane-free MPS device (Fluid3D-X®). Human induced pluripotent stem cells-derived small intestinal epithelial cells were employed in this model, which exhibited key characteristics of the human absorptive epithelial cells of the small intestine, including the expression of key gene transcripts responsible for drug transport and metabolism, and the presence of dome-like protrusions in the primary intestinal epithelium under air-liquid interface culture conditions. Functional studies of transporters in the constructed model demonstrated basal-to-apical directional transport of sulfasalazine and quinidine, substrates of the active efflux transporters breast cancer resistance protein and P-glycoprotein, respectively, which were diminished by inhibitors. Furthermore, a cytochrome P450 (CYP) 3A inhibitor increased the apical-to-basal transport of midazolam, a typical CYP3A4 substrate, and reduced metabolite formation. These results suggest that gut MPS/Fluid3D-X has the potential to assess the intestinal absorption of small-molecule drugs.
Experimental and computational analysis of hybrid fiber metal laminates for vibration behavior in marine structural applications
Authors: Pai Anand , Rodriguez-Millan Marcos , Ming Tse Kwong , Hegde Sriharsha , R. Kini Chandrakant , Shenoy Satish B. 
Published: December 2024

AbstractStructural advancements in underwater vehicle design necessitate lightweight materials, driving interest in Fiber Metal Laminates (FMLs), known for their high specific strength, stiffness, and corrosion resistance. This study investigates the vibration response of FMLs through combined experimental and numerical analyses, specifically evaluating the novel effects of layerwise acoustic impedance matching on vibration damping within the 0-500 Hz frequency range, which aligns with ocean current frequencies. Various FML stackup sequences were characterized through ASTM E756-05 compliant experiments and ANSYS Harmonic Response simulations. Notably, the introduction of paperboard-epoxy ply results in a rightward shift in natural frequencies, while the exclusion of the metallic face ply leads to a leftward shift across different stackups. Moderate agreement between experimental and numerical results for material modulus highlights the robustness of our findings. Overall, this study provides valuable insights for leveraging FMLs in submersible hulls, underscoring their potential for enhanced vibration-damping characteristics in marine environments.
Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning
Authors: Kim Ickbum , Singh Sandeep 
Published: December 2024

AbstractThe extension of human spaceflight across an ever-expanding domain, in conjunction with intricate mission architectures demands a paradigm shift in autonomous navigation algorithms, especially for the powered descent phase of planetary landing. Deep learning architectures have previously been explored to perform low-dimensional localization with limited success. Due to the expectations regarding novel algorithms in the context of real missions, the proposed approaches must be rigorously evaluated in extraneous scenarios and demonstrate sufficient robustness. In the current work, a novel formulation is proposed to train CNN-based Deep Learning (DL) models in a multi-layer cascading architecture and utilize the resulting classification probabilities as regression weights to estimate the position of the lander spacecraft. The approach leverages image intensity and depth data provided by multiple sensors on board to accurately determine the spacecraft’s location relative to the observed terrain at a specific altitude. Navigation performance is validated through Monte Carlo analysis, demonstrating the efficacy of the proposed DL architecture and the subsequent state-estimation framework across several simulated scenarios. It shows tremendous promise in extending the multi-modal feature learning approach to realistic missions.
Intensive care unit-acquired dysphagia – change in feeding route after a standardized dysphagia assessment in neurocritical care patients
Authors: Reitz Sarah Christina , Marly Joanna , Neef Vanessa , Konczalla Jürgen , Czabanka Marcus , Grefkes-Hermann Christian , Foerch Christian , Lapa Sriramya 
Published: December 2024

AbstractBackground: Dysphagia is a frequent finding on intensive care units (ICUs) and is associated with increased reintubation rates, pneumonia, and prolonged ICU-stay. Only a limited numbers of ICUs have access to a Speech and Language Pathologist (SLP). Hence, it falls upon the critical care team to estimate dysphagia risk and define the safest feeding route. Therefore, the aim of this study was to evaluate if the feeding route established by the ICU-team is changed after a standardized dysphagia assessment (DA) by an SLP. Furthermore, we tried to identify predictors for the need of a SLP assessment looking at the change in feeding route (CIFR) after DA. Methods: We performed a retrospective analysis of patients consecutively admitted for at least 48 h in 2018, to the ICU of the Department of Neurology and Neurosurgery. Following variables were assessed: Referral to an SLP, feeding route before and after DA by an SLP, main diagnosis, and ventilation parameters. Results: From 497 included patients (65 years, IQR 51–77), 148 received a DA, confirming dysphagia in 125 subjects. DA by the SLP resulted in a significant CIFR, with 32 (21.6%) subjects receiving stricter diets, and in 29 (19.6%) cases a reduction of dietary recommendations. 50 patients lacked readiness for oral intake due to severely affected oral phase or reduced consciousness. Conclusion: Dysphagia is a frequent finding in the Neuro-ICU. Assessment of dysphagia-risk and safest feeding route differ significantly between the SLP and the critical care team. Besides implementation of standardized operating procedures for DA, the presence of ICU-specific trained SLP should be mandatory.
Effect of anchor shear deformation on the propagation rules of excitation stress waves
Authors: Li Chuanming , Li Chuan , Nie Bochao , Han Qinghua , Cao Jianguo 
Published: December 2024

AbstractTo address the shear deformation failure resulting from misalignment of rock strata in anchor support, a range of methods, including laboratory tests, numerical simulation, and others, are employed to study the deformation process of anchor rods under shear comprehensively. This approach permits an investigation of the deformation characteristics of the surrounding rock and anchoring agent under shear. Moreover, the propagation characteristics of the stress wave in the anchor rods under shear with varying degrees of deformation have been elucidated. A novel non-destructive testing method for assessing the degree of shear deformation in anchor rods is proposed based on the correlation between the energy evolution law of the stress wave and the degree of anchor deformation. Following experimental verification, it was determined that the average discrepancy between the detection outcomes of the stress wave method and the actual measurement results was minimal and consistent. The findings provide a theoretical foundation for the non-destructive testing of anchor rod shear deformation under on-site support conditions.
Reimbursement in the age of generalist radiology artificial intelligence
Authors: Dogra Siddhant , Silva Ezequiel “Zeke” , Rajpurkar Pranav 
Published: December 2024

AbstractWe argue that generalist radiology artificial intelligence (GRAI) challenges current healthcare reimbursement frameworks. Unlike narrow AI tools, GRAI’s multi-task capabilities render existing pathways inadequate. This perspective examines key questions surrounding GRAI reimbursement, including issues of coding, valuation, and coverage policies. We aim to catalyze dialogue among stakeholders about how reimbursement might evolve to accommodate GRAI, potentially influencing AI reimbursement strategies in radiology and beyond.
The interplay between hydrogen bonds and stacking/T-type interactions in molecular cocrystals
Authors: Cruz-Cabeza Aurora J. , Spackman Peter R. , Hall Amy V. 
Published: December 2024

AbstractSupramolecular synthon and hydrogen bond pairing approaches have influenced the understanding of cocrystal formation for decades, but are hydrogen bonds really the dominant interaction in cocrystals? To investigate this, an extensive analysis of 1:1 two-component cocrystals in the Cambridge Structural Database was undertaken, revealing that stacking and T-type interactions are just as, if not more important than hydrogen bonds in molecular cocrystals. A total of 84% of the most common coformers in the dataset are aromatic. When analysing cocrystal dimers, only 20% consist of solely strong hydrogen bonds, with over 50% of contacts involving stacking and T-type interactions. Combining interaction strength and frequency, both hydrogen bond and stacking/T-type interactions contribute equally to the stabilisation of cocrystal lattices. Therefore, we state that crystal engineering and cocrystal design concepts of the future should not solely revolve around supramolecular synthon pairing via hydrogen bonds, but instead consider optimising both hydrogen bonding and stacking/T-type interactions.
“Competing Noises”: How Background Noise Impacts the Communication Experiences of People With Mild-to-Moderate Aphasia
Authors: Harmon Tyson G. , Hegewald Riley , Dromey Christopher 
Published: December 2024

Purpose:
The aim of this study was to explore the subjective experiences of people with aphasia when communicating in the presence of various types of background noise. We hypothesized that (a) people with aphasia would report greater perceived effort and stress than controls when talking in noise, (b) perceived effort and stress would be greater in noise than silence, and (c) people with aphasia would describe more negative reactions to communicating in noise than controls.

Method:
Eleven people with aphasia and 11 age- and gender-matched controls retold stories in a baseline silent condition and five background noise conditions (pink noise, cocktail party, monologue, one-sided phone call, and conversation) and rated their perceived effort and stress after each story. Participants then described their experience in a semistructured interview. Perceived effort and stress ratings were analyzed statistically using quantitative methods. Interview data were analyzed qualitatively.

Results:
Quantitative findings showed that people with aphasia reported significantly greater perceived effort and stress than controls. Across groups, phone call, conversation, and monologue conditions were perceived as either more effortful or stressful than the silent baseline condition. Although both participant groups discussed cognitive and emotional challenges and strategies related to talking in noise, qualitative findings showed distinct difficulties for people with aphasia. Specifically, unlike controls, participants with aphasia mentioned difficulty ignoring background noise, decreased processing speed, fatigue, negative emotional reactions, deliberately focusing, slowing down/taking breaks, and consciously regulating their emotions.

Conclusions:
Although aphasia therapy often occurs in quiet clinic environments, everyday communication does not. The increased perceived difficulty that people with aphasia have for coping with background noise should be acknowledged, and training should be designed to prepare people with aphasia to communicate in noisy environments.

Supplemental Material:

https://doi.org/10.23641/asha.27893445
How fear developed from an object to a subject experiencer verb
Authors: Zimmermann Richard 
Published: December 2024

Abstract
This paper offers quantitative observations on the argument structural change from object to subject experiencers
for the verb fear (from causative ‘frighten’ to stative ‘feel fear’) during late medieval and Early Modern
English. The empirical statements are based on a corpus of 7.5m words spanning 1350–1600. The paper explores the precise time
course of the change, disambiguating cues and ambiguous contexts, the influence of other lexical items, and other facts. In so
doing, it reconstructs the history of the argument structure change in fear. It introduces a concept of
“polysemous competition” as a more abstract type of change exemplified by this specific case, presents a survey of observable
phenomena that may generally accompany such a development, and discusses other implications.
Generalized ghost pilgrim dark energy fractal cosmology with observational constraint
Authors: Bhoyar S R , Ingole Yash B , Kale A P 
Published: December 2024

Abstract
In this work, we explore dark energy models, mainly ghost, generalized ghost, and generalized ghost pilgrim dark energy models within the framework of fractal cosmology. To obtain solutions for the field equations, we employed a parameterization of the deceleration parameter, as proposed by R. K. Tiwari. By utilizing Markov Chain Monte Carlo (MCMC) analysis, we impose constraints on the free parameters of the derived solutions. The analysis is based on observational datasets, including 57 data points from the Observational Hubble Data (OHD) and, 1048 points from the Pantheon Supernovae sample. This approach allows us to assess the viability of the dark energy models in describing the current cosmic expansion. According to the effective equation-of-state parameter, the model maintains itself in the quintessence era and ultimately switches into the Einstein-de Sitter model. Furthermore, we investigate the statefinder, jerk, snap, and lerk parameters. The energy conditions of each model satisfy the weak and null energy conditions but violate the strong energy condition. We find that the Om(z) curves for the data samples exhibit a consistently negative slope throughout the entire range.
Wi-TCG: a WiFi gesture recognition method based on transfer learning and conditional generative adversarial networks
Authors: Li Fenfang , Liang Yongguang , Liu Gaoyuan , Hao Zhanjun , Weng Chujie , Luo Ping 
Published: December 2024

Abstract
With the rapid progress of WiFi technology, WiFi-based wireless sensing technology has opened up new ways for contactless human-computer interaction. However, hand gesture recognition technology faces low-quality data sets, insufficient model robustness, poor universality when the application scenario changes, high training costs, and weak generalization ability. To this end, this study innovatively proposes the Wi-TCG method, which combines transfer learning and conditional generative adversarial network (CGAN) to optimize WiFi gesture recognition. This method uses commercial Wi-Fi devices to collect channel state information (CSI) of gesture actions. It innovatively extracts Doppler shift image data as the input of CGAN to generate virtual data with similar characteristics to expand the training sample set. The network is fine-tuned using transfer learning techniques to recognize multiple gesture action categories in different scenarios accurately. In tests of two new natural scenes and six new gesture categories, the Wi-TCG method achieved a high recognition accuracy of 93.1%, providing strong support for applying WiFi-based wireless sensing technology in contactless human-computer interaction.
Crashworthiness of an improved cake-cutting multi-cell tube under three-point bending
Authors: Yang Zheng , Zhou Yang , Chen Jie , Cui Yingying , Ouyang Wenquan , Cheng Siqin , Gao Qiang , Tao Ran 
Published: December 2024

Abstract
Increasing the number of corners has shown great potential for improving the energy absorption of thin-walled pipes. In order to further improve the bending strength and energy absorption performance of the thin-walled tubes, an improved multi-cell thin-walled tube is proposed by adding three rib plates to a straight thin-walled tube structure. A three-point bending numerical model is established to clarify the bending mechanical properties of the proposed cake-cutting multi-cell tube. The results show that at the maximum number of cakes, the deformation is more stable and the specific energy absorption is 3.5 times higher than that of a traditional circular thin-walled pipe. When the loading angle is 60°, the specific absorption energy reaches the best, which is 1.1 times that when the loading angle is 30°. When the loading angle is 60°, the peak impact force is maximum when the distance between the rib position and the center of the circle is 12 mm. At other loading angles, the maximum peak impact force is achieved at a distance of 8 mm. This work indicated the effectiveness of the cake-cutting method in improving the bending strength of the thin-walled tube, which deserves more attention in future work.
The pyruvate dehydrogenase kinase inhibitor dichloroacetate mitigates alcohol-induced hepatic inflammation and metabolic disturbances in mice
Authors: Wu Jianguo , Huang Emily , McMullen Megan R. , Singh Vaibhav , Mrdjen Marko , Bellar Annette , Wang Li , Welch Nicole , Dasarathy Jaividhya , Dasarathy Srinivasan , Streem David , Brown J. Mark , Nagy Laura E. 
Published: December 2024

Background:
Dichloroacetate (DCA), a pan-pyruvate dehydrogenase kinase inhibitor, ameliorates multiple pathological conditions and tissue injury and shows strong potential for clinical applications. Here, we investigated the preventive effects of DCA in a murine model of alcohol-associated liver disease.

Methods:
C57BL/6J mice were subjected to the acute-on-chronic model of alcohol-associated liver disease and treated with DCA. Livers were assessed in liver histology, biochemistry, and gene expression. Mass spectrometry was used to compare protein expression and metabolite levels.

Results:
DCA inhibited hepatic expression of inflammatory genes but did not prevent steatosis and hepatocellular injury in ethanol-fed mice. Consistently, DCA repressed the expression of mRNAs for inflammatory genes in LPS-stimulated murine bone-marrow–derived macrophages and human monocytic THP-1 cells and inhibited both gene expression and protein release of interleukin-1 beta. DCA prevented hepatic accumulation of isovaleric acid in ethanol-fed mice, a short-chain fatty acid primarily produced by gut microbiota. In vitro, isovaleric acid potentiated LPS’s effects, while DCA prevented this proinflammatory action. Ethanol feeding increased the expression of proteins involved in diverse metabolic pathways, including branched-chain amino acid (BCAA) degradation. In ethanol-fed mice, hepatic Fischer’s ratio (the molar ratio of BCAAs to aromatic amino acids Phe and Tyr) and BTR (the molar ratio of BCAAs to Tyr) showed a decrease compared to pair-fed mice; however, this decrease was not observed in DCA-treated ethanol-fed mice. DCA blunted the ethanol-induced increase of BCKDHA, the rate-limiting enzyme in BCAA catabolism, and cytochrome P450 2E1.

Conclusions:
Ethanol-induced hepatic inflammatory responses and metabolic disturbances were prevented by DCA in mice, indicating the potential to develop pyruvate dehydrogenase kinase inhibitors as an effective therapy to treat alcohol-associated liver disease.
Hair cortisol concentration, a stress biomarker, is gradually increasing before an acute myocardial infarction
Authors: Kosmas Nikolaos , Simitsis Panagiotis , Alevyzakis Evangelos , Rizos Emmanouil , Zapantiotis Dimitrios , Rallidis Loukianos Stylianos 
Published: December 2024

Background
Chronic stress is believed to play a role in the pathophysiology of acute myocardial infarction (AMI). Cortisol is a biomarker associated with stress. We sought to assess stress contribution to AMI using hair cortisol concentration (HCCs) as a surrogate biomarker.

Methods
HCC was measured in hair segments, corresponding to distinctive periods before hair sampling, in 102 male AMI patients and 50 healthy male controls. Standard baseline variables were collected for both groups, whereas for AMI patients, laboratory and psychological tests were also carried out. Linear mixed models were applied to assess the effect of group and baseline variables on the trend of cortisol before hair sampling.

Results
HCC was significantly higher in AMI patients the last 30 days before hair sampling with an overall higher rate of increase (time-group interaction P < 0.001). AMI patients with BMI ≥25 kg/m2 had a slower rate of increase compared with those with BMI <25 kg/m2 (adjusted P = 0.008). Among AMI patients, there was no difference in the rate of cortisol increase between STEMI and NSTEMI patients (time-group interaction P = 0.841). Lower BMI conferred higher rates of cortisol increase irrespectively of AMI type.

Conclusion
HCC, a biomarker of stress, showed an increasing trend over a period of 2 months before the occurrence of AMI suggesting a potential role of stress, through cortisol secretion, in the pathophysiology of AMI.
Serum malondialdehyde levels at admission as a predictor of inhospital mortality in patients with acute coronary syndrome
Authors: Karakayali Muammer , Ogun Metin , Artac Inanç , Ilis Doğan , Arslan Ayca , Omar Timor , Demir Öztürk , Karahan Talha , Kina Soner , Rencuzogullari Ibrahim , Karabag Yavuz 
Published: December 2024

Introduction and objective
Malondialdehyde (MDA) is a predictive marker of cardiovascular events in patients with stable angina pectoris. However, there is limited information available regarding this marker in patients with acute coronary syndrome (ACS). The aim of the study was to explore the association of MDA levels with inhospital mortality among patients with ACS.

Materials and Methods
The study sample consisted of 556 ACS patients. The leftover plasma samples collected in EDTA vials for troponin T estimation within 24 h of chest pain were used for analysis. Blood samples were collected into tubes for MDA, nitric oxide (NO), inducible nitric oxide synthase (i-NOS), endothelial nitric oxide synthase (e-NOS), total sialic acid (TSA), NT-proBNP, ANP, homocysteine, and cardiac troponin I (cTnI). The blood samples were centrifuged (4000g, 4 °C) for 10 min, and the obtained serum then kept at −25 °C until the analyses were carried out. The relationship between these markers and inhospital mortality of ACS patients was investigated.

Results
Univariate logistic regression analysis revealed significant correlations among sex, age, creatine, MDA, NT-proBNP, ANP, homocysteine, cTnI, NO, e-NOS, i-NOS, and TSA. Further analysis of these variables using the multivariate logistic regression analysis indicated that age, creatine, MDA, and NT-proBNP were independent predictors. Optimal MDA cutoff value of >33.1 predicted inhospital mortality with 85% sensitivity and 88.17% specificity [AUC: 0.905 (95% CI: 0.878–0.928, P < 0.001)].

Conclusion
We demonstrated that MDA levels were elevated in cases of inhospital mortality among ACS patients and the optimal MDA cutoff value of >33.1 predicted inhospital mortality with 85% sensitivity and 88.17% specificity.