bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the evaluation of the carbon dioxide solubility in polymers using gene expression programming
Authors: Amiri-Ramsheh Behnam , Nait Amar Menad , Shateri Mohammadhadi , Hemmati-Sarapardeh Abdolhossein 
Published: August 2023

AbstractEvaluation, prediction, and measurement of carbon dioxide (CO2) solubility in different polymers are crucial for engineers in various chemical applications, such as extraction and generation of novel materials. In this paper, correlations based on gene expression programming (GEP) were generated to predict the value of carbon dioxide solubility in three polymers. Results showed that the generated correlations could represent an outstanding efficiency and provide predictions for carbon dioxide solubility with satisfactory average absolute relative errors of 9.71%, 5.87%, and 1.63% for polystyrene (PS), polybutylene succinate-co-adipate (PBSA), and polybutylene succinate (PBS), respectively. Trend analysis based on Henry’s law illustrated that increasing pressure and decreasing temperature lead to an increase in carbon dioxide solubility. Finally, outlier discovery was applied using the leverage approach to detect the suspected data points. The outlier detection demonstrated the statistical validity of the developed correlations. William’s plot of three generated correlations showed that all of the data points are located in the valid zone except one point for PBS polymer and three points for PS polymer.
Materials fatigue prediction using graph neural networks on microstructure representations
Authors: Thomas Akhil , Durmaz Ali Riza , Alam Mehwish , Gumbsch Peter , Sack Harald , Eberl Chris 
Published: August 2023

AbstractThe local prediction of fatigue damage within polycrystals in a high-cycle fatigue setting is a long-lasting and challenging task. It requires identifying grains tending to accumulate plastic deformation under cyclic loading. We address this task by transcribing ferritic steel microtexture and damage maps from experiments into a microstructure graph. Here, grains constitute graph nodes connected by edges whenever grains share a common boundary. Fatigue loading causes some grains to develop slip markings, which can evolve into microcracks and lead to failure. This data set enables applying graph neural network variants on the task of binary grain-wise damage classification. The objective is to identify suitable data representations and models with an appropriate inductive bias to learn the underlying damage formation causes. Here, graph convolutional networks yielded the best performance with a balanced accuracy of 0.72 and a F1-score of 0.34, outperforming phenomenological crystal plasticity (+ 68%) and conventional machine learning (+ 17%) models by large margins. Further, we present an interpretability analysis that highlights the grains along with features that are considered important by the graph model for the prediction of fatigue damage initiation, thus demonstrating the potential of such techniques to reveal underlying mechanisms and microstructural driving forces in critical grain ensembles.
Additively manufactured flexible on-package phased array antennas for 5G/mmWave wearable and conformal digital twin and massive MIMO applications
Authors: Hu Kexin , Zhou Yi , Sitaraman Suresh K. , Tentzeris Manos M. 
Published: August 2023

AbstractThis paper thoroughly investigates material characterization, reliability evaluation, fabrication, and assembly processes of additively manufactured flexible packaging and reconfigurable on-package antenna arrays for next-generation 5G/mmWave wearable and conformal applications. The objective is to bridge the technology gap in current Flexible Hybrid Electronics (FHE) designs at mmWave frequencies and address the challenges of establishing future design standards for additively manufactured flexible packages and System-on-Package (SoP) integrated modules. Multiple 3D printed flexible materials have been characterized for their electrical and mechanical properties over the 5G/mmW frequency band (26–40 GHz), and the inkjet printed interconnects on 3D printed Polypropylene (PP) substrates demonstrated excellent electrical and mechanical performance during a 10,000-time cyclic bending test over typical wearable flexible radii down to 1 inch. A proof-of-concept flexible on-package phased array with an integrated microfluidic cooling channel on 3D printed substrates was fabricated and measured, demonstrating$$\pm 37^{\circ }$$±37∘beam steering capability with efficient cooling. The proposed reconfigurable design and low-temperature fabrication approach using additive manufacturing can be widely applied to next-generation highly-complex on-demand FHE, flexible multi-chip-module integration, and on-package phased-array modules for 5G/mmWave wearable and conformal smart skin, digital twin and massive MIMO applications.
Identification of tophi in ultrasound imaging based on transfer learning and clinical practice
Authors: Lin Tzu-Min , Lee Hsiang-Yen , Chang Ching-Kuei , Lin Ke-Hung , Chang Chi-Ching , Wu Bing-Fei , Peng Syu-Jyun 
Published: August 2023

AbstractGout is a common metabolic disorder characterized by deposits of monosodium urate monohydrate crystals (tophi) in soft tissue, triggering intense and acute arthritis with intolerable pain as well as articular and periarticular inflammation. Tophi can also promote chronic inflammatory and erosive arthritis. 2015 ACR/EULAR Gout Classification criteria include clinical, laboratory, and imaging findings, where cases of gout are indicated by a threshold score of ≥ 8. Some imaging-related findings, such as a double contour sign in ultrasound, urate in dual-energy computed tomography, or radiographic gout-related erosion, generate a score of up to 4. Clearly, the diagnosis of gout is largely assisted by imaging findings; however, dual-energy computed tomography is expensive and exposes the patient to high levels of radiation. Although musculoskeletal ultrasound is non-invasive and inexpensive, the reliability of the results depends on expert experience. In the current study, we applied transfer learning to train a convolutional neural network for the identification of tophi in ultrasound images. The accuracy of predictions varied with the convolutional neural network model, as follows: InceptionV3 (0.871 ± 0.020), ResNet101 (0.913 ± 0.015), and VGG19 (0.918 ± 0.020). The sensitivity was as follows: InceptionV3 (0.507 ± 0.060), ResNet101 (0.680 ± 0.056), and VGG19 (0.747 ± 0.056). The precision was as follows: InceptionV3 (0.767 ± 0.091), ResNet101 (0.863 ± 0.098), and VGG19 (0.825 ± 0.062). Our results demonstrate that it is possible to retrain deep convolutional neural networks to identify the patterns of tophi in ultrasound images with a high degree of accuracy.
Comparison of particle image velocimetry and the underlying agents dynamics in collectively moving self propelled particles
Authors: Basak Udoy S. , Sattari Sulimon , Hossain Md. Motaleb , Horikawa Kazuki , Toda Mikito , Komatsuzaki Tamiki 
Published: August 2023

AbstractCollective migration of cells is a fundamental behavior in biology. For the quantitative understanding of collective cell migration, live-cell imaging techniques have been used using e.g., phase contrast or fluorescence images. Particle tracking velocimetry (PTV) is a common recipe to quantify cell motility with those image data. However, the precise tracking of cells is not always feasible. Particle image velocimetry (PIV) is an alternative to PTV, corresponding to Eulerian picture of fluid dynamics, which derives the average velocity vector of an aggregate of cells. However, the accuracy of PIV in capturing the underlying cell motility and what values of the parameters should be chosen is not necessarily well characterized, especially for cells that do not adhere to a viscous flow. Here, we investigate the accuracy of PIV by generating images of simulated cells by the Vicsek model using trajectory data of agents at different noise levels. It was found, using an alignment score, that the direction of the PIV vectors coincides with the direction of nearby agents with appropriate choices of PIV parameters. PIV is found to accurately measure the underlying motion of individual agents for a wide range of noise level, and its condition is addressed.
Comparison of sexual function of people with colorectal cancer with and without colostomy bag in Iran: a comparative cross-sectional study
Authors: Dahouri Amirmohammad , Sahebihagh Mohammad Hassan , Gilani Neda 
Published: August 2023

AbstractThe aim of this study was to investigate and compare sexual function in individuals with colorectal cancer, with and without a colostomy bag. A quantitative, descriptive-comparative design was employed, and a cluster random sampling method was used to recruit 252 patients with colorectal cancer. Data collection tools included a participants characteristics form, the International Index of Erectile Function (IIEF) for men, and the Female Sexual Function Index (FSFI) for women. The mean IIEF total score for men with a colostomy was 26.17 ± 15.30, and for men without a colostomy, it was 29.05 ± 17.14. The mean FSFI total score for women with a colostomy was 6.40 ± 7.21, and for women without a colostomy, it was 9.10 ± 14.67. There was no statistically difference in IIEF scores between men with and without colostomy bags (p > 0.05). However, women with colostomy bags had significantly lower FSFI scores compared to women without colostomy bags (p < 0.05). Addressing sexual concerns in individuals with colorectal cancer is crucial for enhancing their sexual well-being and overall quality of life. Comprehensive support, timely interventions, and targeted services are essential to help patients navigate the challenges and improve their overall well-being.
Key role of phosphorylation sites in ATPase domain and Linker region of MLH1 for DNA binding and functionality of MutLα
Authors: Firnau May-Britt , Plotz Guido , Zeuzem Stefan , Brieger Angela 
Published: August 2023

AbstractMutLα is essential for human DNA mismatch repair (MMR). It harbors a latent endonuclease, is responsible for recruitment of process associated proteins and is relevant for strand discrimination. Recently, we demonstrated that the MMR function of MutLα is regulated by phosphorylation of MLH1 at serine (S) 477. In the current study, we focused on S87 located in the ATPase domain of MLH1 and on S446, S456 and S477 located in its linker region. We analysed the phosphorylation-dependent impact of these amino acids on DNA binding, MMR ability and thermal stability of MutLα. We were able to demonstrate that phosphorylation at S87 of MLH1 inhibits DNA binding of MutLα. In addition, we detected that its MMR function seems to be regulated predominantly via phosphorylation of serines in the linker domain, which are also partially involved in the regulation of DNA binding. Furthermore, we found that the thermal stability of MutLα decreased in relation to its phosphorylation status implying that complete phosphorylation might lead to instability and degradation of MLH1. In summary, we showed here, for the first time, a phosphorylation-dependent regulation of DNA binding of MutLα and hypothesized that this might significantly impact its functional regulation during MMR in vivo.
An old diagnostic tool for new indications: inpatient Holter ECG for conditions other than syncope or stroke
Authors: Freund Ophir , Caspi Inbar , Alcalay Idan , Brezis Miriam R. , Frydman Shir , Bornstein Gil 
Published: August 2023

AbstractHolter electrocardiography (ECG) assists in the diagnosis of arrhythmias. Its use in the inpatient setting has been described solely for the evaluation of stroke and syncope. Our aim was to assess its diagnostic value for other conditions in the internal medicine department. We included all hospitalized patients between 2018 and 2021 in a tertiary referral center. The primary outcome was a diagnostic Holter recording a new arrhythmia that led to a change in treatment. Overall, 289 patients completed a 24-h inpatient Holter ECG for conditions other than syncope or stroke, with 39 (13%) diagnostic findings. The highest diagnostic value was found in patients admitted for pre-syncope (19%), palpitations (18%), and unexplained heart failure exacerbation/dyspnea (17%). A low diagnostic yield was found for the evaluation of chest pain (5%). Heart failure with preserved ejection fraction (adjusted OR 2.3, 95% CI 1.1–5.4, p = 0.04), and baseline ECG with either a bundle branch block (AOR 4.2, 95% CI 1.9–9.2, p < 0.01) or atrioventricular block (first or second degree, AOR 5, 95% CI 2.04–12.3, p < 0.01) were among the independent predictors for a diagnostic test. Inpatient Holter ECG monitoring may have value as a diagnostic tool for selected patients with conditions other than syncope or stroke.
Automated phenotyping of postoperative delirium-like behaviour in mice reveals the therapeutic efficacy of dexmedetomidine
Authors: Cao Silu , Wu Yiling , Gao Zilong , Tang Jinxuan , Xiong Lize , Hu Ji , Li Cheng 
Published: August 2023

AbstractPostoperative delirium (POD) is a complicated and harmful clinical syndrome. Traditional behaviour analysis mostly focuses on static parameters. However, animal behaviour is a bottom-up and hierarchical organizational structure composed of time-varying posture dynamics. Spontaneous and task-driven behaviours are used to conduct comprehensive profiling of behavioural data of various aspects of model animals. A machine-learning based method is used to assess the effect of dexmedetomidine. Fourteen statistically different spontaneous behaviours are used to distinguish the non-POD group from the POD group. In the task-driven behaviour, the non-POD group has greater deep versus shallow investigation preference, with no significant preference in the POD group. Hyperactive and hypoactive subtypes can be distinguished through pose evaluation. Dexmedetomidine at a dose of 25 μg kg−1 reduces the severity and incidence of POD. Here we propose a multi-scaled clustering analysis framework that includes pose, behaviour and action sequence evaluation. This may represent the hierarchical dynamics of delirium-like behaviours.
Weak influence of the secondary surface processes on the regolith of Chang’E-5 landing site
Authors: Li Junjie , Li Ziying , Huang Zhixin , Li Ting , Guo Dongfa , Liu Hanbin , Fan Guang , Qin Mingkuan , Lei Liang , Zhou Xin , Wang Hailong , Wang Kaiyu , Gao Xiangbo , Yu Apeng , Liu Ruiping , Zhang Jia , Deng Liumin , He Sheng , Wu Yong , Qiu Linfei 
Published: August 2023

AbstractNoble gases in lunar soils provide critical information regarding solar wind and cosmic-ray interactions with the lunar surface, as well as the history of impact events affecting the regolith turnover processes. Here, we studied the characteristics of noble gases He, Ne, Ar in Chang’E-5 soil. High 4He/36Ar and 20Ne/36Ar values show that the soil has typical mare terrain characteristics. Furthermore, both values are higher than those in other lunar soils, suggesting the secondary processes occurring in the soil may have been less strong than in other lunar samples. Trapped (3He/4He) tr and (20Ne/22Ne) tr values were less fractionated than those of Apollo soils, also indicating the weak secondary processes the Chang’E-5 soil underwent. Trapped (40Ar/36Ar) tr values indicate the implanted solar wind was young. The integrated exposure times to solar wind of the soil on the lunar surface suggest the Chang’E-5 soil was not seriously admixed by sputtered material from nearby rocks.
Radiomics and outcome prediction to antiangiogenic treatment in advanced gastroenteropancreatic neuroendocrine tumours: findings from the phase II TALENT trial
Authors: Ligero Marta , Hernando Jorge , Delgado Eric , Garcia-Ruiz Alonso , Merino-Casabiel Xavier , Ibrahim Toni , Fazio Nicola , Lopez Carlos , Teulé Alexandre , Valle Juan W. , Tafuto Salvatore , Custodio Ana , Reed Nicholas , Raderer Markus , Grande Enrique , Garcia-Carbonero Rocio , Jimenez-Fonseca Paula , Garcia-Alvarez Alejandro , Escobar Manuel , Casanovas Oriol , Capdevila Jaume , Perez-Lopez Raquel 
Published: August 2023

Abstract
Background
More accurate predictive biomarkers in patients with gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are needed. This study aims to investigate radiomics-based tumour phenotypes as a surrogate biomarker of the tumour vasculature and response prediction to antiangiogenic targeted agents in patients with GEP-NETs.

Methods
In this retrospective study, a radiomics signature was developed in patients with GEP-NETs and liver metastases receiving lenvatinib. Patients were selected from the multicentre phase II TALENT trial (NCT02678780) (development cohort). Radiomics variables were extracted from liver metastases in the pre-treatment CT-scans and selected using LASSO regression and minimum redundancy maximum relevance (mRMR). Logistic regression and Cox proportional-hazards models for radiomics and combined radiomics with clinical data were explored. The performance of the models was tested in an external cohort of patients treated with sunitinib (test cohort). Associations between the radiomics score and vascularisation factors in plasma were studied using hierarchical clustering and Mann–Whitney U test.

Results
A total of 89 patients were included in the study, 408 liver metastases were analysed. The CT-based radiomics signature was associated with clinical benefit in the development (training and validation sets) and test cohorts (AUC 0.75 [0.66–0.90], 0.67 [0.49–0.92] and 0.67 [0.43–0.91], respectively). The combined radiomics-clinical signature (including the radiomics score, Ki-67 index and primary tumour site) improved on radiomics-only signature performance (AUC 0.79 [95% CI 0.64–0.93]; p < 0.001). A higher radiomics score indicated longer progression-free survival (hazard ration of 0.11 [0.03–0.45]; p = 0.002) and was associated with vascularisation factors (p = 0.01).

Conclusions
Radiomics-based phenotypes can provide valuable information about tumour characteristics, including the vasculature, that are associated with response to antiangiogenics.

Clinical trial registration
This is a study of the Lenvatinib Efficacy in Metastatic Neuroendocrine Tumours (TALENT) phase II clinical trial (NCT02678780).
Perspectives of Speech-Language Pathologists and Students on Providing Care to People Living With Dementia: A Scoping Review
Authors: Mayer Jamie F. , Green Makenna R. , White Laura W. , Lemley Trey 
Published: August 2023

Purpose:
This scoping review aimed to explore the extant literature on the experiences and views of speech-language pathologists (SLPs) and SLP students regarding the provision of care to people living with dementia (PLWD).

Method:
A systematic search was conducted using 10 databases for sources published in English from January 2000 through January 2022. Sources were included if participants were practicing SLPs and/or students enrolled in undergraduate communicative disorders or graduate SLP programs and if the concepts of experiences or views on the provision of SLP services to PLWD were explored in the context of any clinical or educational setting. Included sources were systematically extracted for pertinent study characteristics, including SLP roles and settings, concept domains, measures utilized, and facilitators/barriers to effective dementia care.

Results:

The majority of the 29 included sources were published in either academic journals (
n
= 20) or professional organization publications (
n
= 5) and used a cross-sectional study design (
n
= 19). Participants included SLPs (
n
= 22 studies) and graduate (
n
= 6 studies), undergraduate (
n
= 3 studies), and doctoral students (
n
= 1 study). The included studies addressed five primary conceptual domains: experiences, attitudes, roles, knowledge, and confidence. The most commonly addressed barriers and facilitators of effective dementia care were education and training.

Conclusions:
Mapping and analysis of the current body of knowledge within this scoping review illuminated several knowledge gaps that we propose need to be addressed to meet the education and training needs of SLPs to provide optimal care to PLWD. These include systematically measuring access to and outcomes of evidence-based education and training programs both within and outside of an interprofessional collaborative context.
Die interdisziplinäre – integrative – Versorgung von funktionellen neurologischen Störungen
Authors: Schmidt Roger , van Husen Dominik Klaasen , Gegusch Michaela , Steurer Alexandra , Hausteiner-Wiehle Constanze , Schmid Dagmar A. 
Published: August 2023

ZUSAMMENFASSUNGSpätestens mit Blick auf die von ihnen aufgeworfenen Behandlungserfordernisse handelt es sich bei funktionell neurologischen Störungen (FNS) um biopsychosozial komplexe Erkrankungen, die von einer interdisziplinären, multimodalen Diagnostik und Therapie profitieren. Auch wenn es inzwischen mehr und mehr dezidierte Behandlungsangebote gibt, ist die Versorgungslage insgesamt weit unzureichend – allein schon, weil FNS der üblichen Organisation der medizinischen Versorgung entgegenlaufen, in der nach Fachdisziplinen getrennte Zuständigkeiten das Denken und Handeln im klinischen Alltag weiterhin prägen. Soll sich etwas ändern, kommen der Errichtung weiterer dezentraler klinischer Ressourcen, der Entwicklung und Umsetzung integrativer klinischer Arbeitsmodelle, der interdisziplinären Aus-, Weiter- und Fortbildung und der begleitenden Forschung wesentliche Bedeutung zu – und der Vernetzung aller Initiativen untereinander, (über-)regional und international. Was sich auf dem Weg zu einer angemessenen Versorgung von FNS – unter aktiver Einbeziehung der je gegebenen klinischen, aber auch institutionellen und gesundheitspolitischen Versorgungsrealitäten vor Ort – tun lässt, und was es zu tun gibt, wird am Beispiel eines stationären und eines ambulanten Behandlungsmodells deutlich.
Direct comparison of multiple computer-aided polyp detection systems
Authors: Troya Joel , Sudarevic Boban , Krenzer Adrian , Banck Michael , Brand Markus , Walter Benjamin M. , Puppe Frank , Zoller Wolfram G. , Meining Alexander , Hann Alexander 
Published: August 2023

Background and study aims Artificial intelligence (AI)-based systems for computer-aided detection (CADe) of polyps receive regular updates and occasionally offer customizable detection thresholds, both of which impact their performance, but little is known about these effects. This study aimed to compare the performance of different CADe systems on the same benchmark dataset.
Methods 101 colonoscopy videos were used as benchmark. Each video frame with a visible polyp was manually annotated with bounding boxes, resulting in 129 705 polyp images. The videos were then analyzed by three different CADe systems, representing five conditions: two versions of GI Genius, Endo-AID with detection Types A and B, and EndoMind, a freely available system. Evaluation included an analysis of sensitivity and false-positive rate, among other metrics.
Results Endo-AID detection Type A, the earlier version of GI Genius, and EndoMind detected all 93 polyps. Both the later version of GI Genius and Endo-AID Type B missed 1 polyp. The mean per-frame sensitivities were 50.63 % and 67.85 %, respectively, for the earlier and later versions of GI Genius, 65.60 % and 52.95 %, respectively, for Endo-AID Types A and B, and 60.22 % for EndoMind.
Conclusions This study compares the performance of different CADe systems, different updates, and different configuration modes. This might help clinicians to select the most appropriate system for their specific needs.