bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management and Long‐Term Outcomes of Patients With Hepatic Epithelioid Hemangioendothelioma
Authors: Sawma Tedy , Sultan Ahmer , Abdulmoneim Samer , Grotz Travis , Rosen Charles B. , Taner Timucin , Heimbach Julie K. , Warner Susanne G. , Siontis Brittany L. , Ho Thanh P. , Robinson Steven I. , Thiels Cornelius A. 
Published: September 2024

ABSTRACTBackground and ObjectivesHepatic epithelioid hemangioendothelioma (HEHE) is an uncommon vascular neoplasm characterized by variable clinical behavior. Our aim was to describe the therapeutic approach for HEHE at diagnosis and define clinicopathological characteristics associated with tumor progression and long‐term survival.MethodsThis is a retrospective study that includes patients with HEHE who received treatment at Mayo Clinic Rochester between 1984 and 2023.ResultsEighty patients were included in the study (median age: 44 years; 62.5% female), 24 underwent liver transplantation, 26 underwent liver resection, and 30 were managed medically. The 3‐year overall survival rates were 86.7%, 80.9%, and 51.1%, respectively. Notably, 26 patients had extrahepatic metastases at the time of diagnosis, four (16.7%) in the transplantation group, four (15.4%) in the resection group, and 18 (69.2%) in the nonsurgical group. On multivariable modeling, bone metastasis was independently associated with long‐term mortality (HR 6.3, p < 0.001) while lung metastasis and surgical intervention were not associated with long‐term mortality (HR 0.8, p = 0.8; HR 1.1, p = 0.9, respectively).ConclusionBone metastasis emerged as a strong predictor of poor survival. Hence, aggressive surgical intervention may not be advantageous in patients with skeletal metastases but can still be offered for those with other extrahepatic metastases.
Prediction model of in‐hospital cardiac arrest using machine learning in the early phase of hospitalization
Authors: Wu Wei‐Tsung , Kor Chew‐Teng , Chou Ming‐Chung , Hsieh Hui‐Min , Huang Wan‐Chih , Huang Wei‐Ling , Lin Shu‐Yen , Chen Ming‐Ru , Lin Tsung‐Hsien 
Published: September 2024

AbstractIn hospitals, the deterioration of a patient's condition leading to death is often preceded by physiological abnormalities in the hours to days beforehand. Several risk‐scoring systems have been developed to identify patients at risk of major adverse events; however, such systems often exhibit low sensitivity and specificity. To identify the risk factors associated with in‐hospital cardiac arrest (IHCA), we conducted a retrospective cohort study at a tertiary medical center in Taiwan. Four machine learning algorithms were employed to identify the factors most predictive of IHCA. The support vector machine model was discovered to be the most effective at predicting IHCA. The ten most critical physiological parameters at 8 h prior to the event were pulse rate, age, white blood cell count, lymphocyte count, body temperature, body mass index, systolic and diastolic blood pressure, platelet count, and use of central nervous system‐active medication. Using these parameters, we can enhance early warning and rapid response systems in our hospital, potentially reducing the incidence of IHCA in clinical practice.
Stress‐Induced Tinnitus in a Rat Model: Transcriptomics of the Prefrontal Cortex and Hippocampus
Authors: Han Jae S. , Park Junseong , Kim Ye L. , Park So Y. , Kim Dokyeong , Zhang Songzi , Chung Yeun‐Jun , Park Shi N. 
Published: September 2024

ObjectivesThe molecular mechanisms by which stress leads to the development of tinnitus are not yet well understood. This study aimed to identify brain changes in a stress‐induced tinnitus (ST) animal model through transcriptome analysis of the prefrontal lobe and hippocampus.MethodsTwenty Sprague–Dawley rats were subjected to restraint stress for 2 h. Following the gap prepulse inhibition of the acoustic startle (GPIAS) reflex test to assess tinnitus development, the prefrontal lobes and hippocampi of the brains were harvested from 15 rats: five with evident tinnitus (ST), five with noticeable non‐tinnitus (stress‐induced non‐tinnitus; SNT), and five without stress (control group). Comparative RNA‐seq analysis was conducted to examine gene expression profiles.ResultsIn comparison to the control group, the ST group exhibited 971 and 463 differentially expressed genes (DEGs) in the prefrontal lobe and hippocampus, respectively (FDR < 0.05). The SNT group showed a largely similar gene expression to the control group. Enrichment analysis of the prefrontal lobe revealed the downregulation of gene sets associated with neurotransmitter and synapse‐related functions and the upregulation of cell cycle‐related gene sets in the ST group. In the hippocampus, there were significantly downregulated gene sets associated with steroid production and upregulated gene sets related to the extracellular matrix in the ST group. Immune‐related gene sets were upregulated in both the prefrontal lobe and hippocampus.ConclusionOur research presents evidence that differences in genetic expression in the prefrontal lobe and hippocampus after exposure to stress play a significant role in the development of tinnitus.Level of EvidenceNA Laryngoscope, 135:882–888, 2025
COP27 Perspective of Food, Land Resources and Digitalization for Sustainable Economy: Novel Evidence From Lower‐Middle‐Income Countries
Authors: Bi Chaowen , Gan YuFei , Wang Weizheng , Xue Pengcheng 
Published: September 2024

ABSTRACTEconomies in the environmentally conscious era follow the 27th Conference of the Parties' commitments to attaining environmental sustainability. However, using alternative energy sources reduces arable land and diminishes land resources, severely affecting food production, exports, and overall income. This issue raises concerns about attaining a sustainable economy, which has attracted little scholarly attention in the preceding literature. The present research examines the influence of food exports, digitalization, access to clean fuel and technologies for cooking, mineral resources, and oil resources on the economic sustainability of lower‐middle‐income economies. Covering the latest period from 1990 to 2022, this study uses several time series estimators to analyze the aggregate data of selected economies. The empirical results suggest that the mentioned variables are cointegrated in the long run. The regression estimates showed that food exports and mineral resources are adversely associated with economic sustainability. However, access to clean fuel and technologies for cooking and digitalization significantly contributes to the region's economic sustainability. Nonetheless, the role of oil resources is insignificant but negative, which validates the resource curse phenomenon in the region. The results are robust since these estimations are validated by regression accounting for structural breaks. This study recommends investment in clean energy resources, efficient mineral resource management, and the transition to clean energy to accomplish the 27th Conference of the Parties target and attain sustainable development.
Beyond transfer learning: Leveraging ancillary images in automated classification of plankton
Authors: Ellen Jeffrey S. , Ohman Mark D. 
Published: September 2024

AbstractWe assess whether a supervised machine learning algorithm, specifically a convolutional neural network (CNN), achieves higher accuracy on planktonic image classification when including non‐plankton and ancillary plankton during the training procedure. We focus on the case of optimizing the CNN for a single planktonic image source, while considering ancillary images to be plankton images from other instruments. We conducted two sets of experiments with three different types of plankton images (from a Zooglider, Underwater Vision Profiler 5, and Zooscan), and our results held across all three image types. First, we considered whether single‐stage transfer learning using non‐plankton images was beneficial. For this assessment, we used ImageNet images and the 2015 ImageNet contest‐winning model, ResNet‐152. We found increased accuracy using a ResNet‐152 model pretrained on ImageNet, provided the entire network was retrained rather than retraining only the fully connected layers. Next, we combined all three plankton image types into a single dataset with 3.3 million images (despite their differences in contrast, resolution, and pixel pitch) and conducted a multistage transfer learning assessment. We executed a transfer learning stage from ImageNet to the merged ancillary plankton dataset, then a second transfer learning stage from that merged plankton model to a single instrument dataset. We found that multistage transfer learning resulted in additional accuracy gains. These results should have generality for other image classification tasks.
Tracing the Background‐Suppressed Vibrational Decay Time of a Molecular Monolayer with Time‐Resolved Surface‐Enhanced Broadband Coherent Anti‐Stokes Raman Scattering
Authors: Barman Parijat , Chakraborty Abhik , Wu Xiaofei , Akimov Denis A. , Meyer‐Zedler Tobias , Ronning Carsten , Schmitt Michael , Popp Jürgen , Huang Jer‐Shing 
Published: September 2024

AbstractThe sensitivity of molecular spectroscopy based on surface‐enhanced coherent anti‐Stokes Raman scattering (SECARS) is limited by the spectrally overlapping background from nonresonant four‐wave mixing (FWM). While the SECARS signal is mediated by the molecular vibrational eigenstates and exhibits long lifetime (a few picoseconds), the FWM background stems from the instantaneous electronic polarization and decays rapidly with the vanishment of excitation. Therefore, CARS and FWM can be separated by time‐resolved CARS (trCARS) using ultrashort pulsed lasers. The broad spectral bandwidth also enables broadband CARS (BCARS) for simultaneous identification of multiple vibrational signatures. This work combines trCARS and BCARS with an optimized plasmonic system to demonstrate time‐resolved surface‐enhanced BCARS) and show its capability in obtaining background‐suppressed broadband vibrational spectra from a monolayer of 4‐Aminothiophenol (4‐ATP) molecules self‐assembled on a gold grating. The vibrational dephasing time of the ring‐breathing mode for the 4‐ATP monolayer on the gold grating (≈1.00 ± 0.17 ps) is significantly shortened compared to that for 4‐ATP powder on a glass substrate (2.10 ± 0.05 ps). This work presents an effective method to suppress FWM background and investigate the vibrational dynamics of molecules in the vicinity of plasmonic nanostructures.
High‐Performance Multipedal Shape Strain Sensors for Human Motion and Electrophysiological Signal Monitoring
Authors: Li Gen , Wan Rongtai , Liu Shuhan , Wang Lina , Yu Mangmang , Zhong Jiang , Yang Hanjun , Liu Ximei , Lu Baoyang 
Published: September 2024

AbstractStrain sensors from conducting polymer hydrogel have been widely employed in various wearable devices, electronic skins, and biomedical applications. These sensors provide outstanding flexibility and high sensitivity by integrating conducting polymer with hydrogels, making them particularly suitable for monitoring human motion and physiological signals like heart rate or muscle activity. Despite their extensive application potential, conducting polymer hydrogel face several technical challenges in practical use, including poor mechanical properties, lack of long‐term stability, and difficulty in customizable design. This work introduces a method for fabricating a multipedal strain sensor using poly(3,4‐ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS)/polyvinyl alcohol (PVA) dimethyl sulfoxide (DMSO)hydrogels through screen printing and demonstrates its application in human motion monitoring. The multipedal strain sensor demonstrates a low Young's modulus (200 kPa), high stretchability (400%), and excellent mechanical cyclic stability (3000 cycles). Furthermore, this strain sensor is further applied to detect human movements such as chewing, smiling, fist clenching, arm bending, and carotid pulse monitoring. Comparative analysis between the multipedal‐designed sensor and the non‐designed sensor highlights the enhanced sensing capabilities of the multipedal sensor. The design of this multipedal sensor holds the potential to broaden the design concepts for strain sensors and offers new insights for wearable devices and electronic skins.
The Logistic Function in Glass Transition Models of Amorphous Polymers: A Theoretical Framework for Isobaric Cooling Processes
Authors: Corbisieri Claudio 
Published: September 2024

AbstractStudying the macroscopic‐phenomenological behavior of amorphous polymers at glass transition is often subject to limitations because the ordinary differential equations that describe the material behavior require numerical solution. To avoid these limitations, ad‐hoc‐formulated models of the glass transition have been proposed. However, their scope of application is expected to be limited due to insufficient theoretical foundation. This work establishes a theoretical framework for models that use the logistic function to approximate the macroscopic‐phenomenological behavior of amorphous polymers at glass transition. For this purpose, an exactly‐solvable Riccati equation is derived within thermodynamics with internal state variables. A closed‐form expression in terms of mathematical functions for the temperature derivative of a single internal state variable is the result. This closed‐form expression contains the logistic function thus featuring a continuous transition region centered around a pressure and cooling‐rate dependent transition temperature. Based on comparison of existing models with the exact solution derived from the Riccati equation, generalized models that approximate the thermal expansion coefficient and heat capacity at glass transition are proposed. This work thus demonstrates the validity of the logistic function in glass transition models of amorphous polymers and provides suggestions as to how existing models can be extended in their applicability.
An overview of the progress made in research into the Mpox virus
Authors: Li Yansheng , Wang Lianrong , Chen Shi 
Published: September 2024

AbstractMpox is a zoonotic illness caused by the Mpox virus (MPXV), a member of the Orthopoxvirus family. Although a few cases have been reported outside Africa, it was originally regarded as an endemic disease limited to African countries. However, the Mpox outbreak of 2022 was remarkable in that the infection spread to more than 123 countries worldwide, causing thousands of infections and deaths. The ongoing Mpox outbreak has been declared as a public health emergency of international concern by the World Health Organization. For a better management and control of the epidemic, this review summarizes the research advances and important scientific findings on MPXV by reviewing the current literature on epidemiology, clinical characteristics, diagnostic methods, prevention and treatment measures, and animal models of MPXV. This review provides useful information to raise awareness about the transmission, symptoms, and protective measures of MPXV, serving as a theoretical guide for relevant institutions to control MPXV.
Emerging trends in cannabis administration for women with chronic pain
Authors: Cameron Erinn C. , Jacquin Kristine M. 
Published: September 2024

AbstractCannabis use among women who experience chronic pain is on the rise in the United States. However, little is known about women's motives and preferences for cannabis administration. The purpose of this study was to characterize cannabis use among women with chronic pain. This study examined self‐reported forms of cannabis administration and preferred source of cannabis, frequency and quantity of use, and self‐reported side effects, and type, level, and intensity of chronic pain among adult women in the United States. This study also compared women who use cannabis for chronic pain and those who do not across the level of chronic pain, length of chronic pain, and the number of types of chronic pain experienced. Participants showed a significant preference (60%) for using recreational cannabis to treat chronic pain but reported that medical cannabis was more effective. For participants who preferred medical cannabis 24.3% reported daily use, as compared to only 7.8% of recreational cannabis users. Smoking was the most common form of administration (62.1%), followed by edibles (25.3%), vaporizing in any form (7.4%), tinctures and concentrates (3.2%), and topicals (2.1%). Participants reported using 1–6 different forms of cannabis administration. Those who preferred smoking were significantly likely to use all other forms of administration. However, those who preferred alternatives to smoking were significantly likely to use all forms of administration except for smoking. Medical cannabis users preferred to obtain cannabis from a dispensary, while recreational users preferred to obtain cannabis from unlicensed sources. Additionally, participants who used cannabis for chronic pain reported a 74% reduction in past 30‐day opioid use. Future research is needed to investigate the health effects associated with single and combined forms of cannabis administration for women with chronic pain. Results can inform educational and intervention programs, treatment development, content regulation of products, policy formation, women's health research, and public health guidelines.
Volumetric muscle composition analysis in sporadic inclusion body myositis using fat‐referenced magnetic resonance imaging: Disease pattern, repeatability, and natural progression
Authors: Heerfordt John , Karlsson Markus , Kusama Midori , Ogata Seiya , Mukasa Ryuta , Kiyosawa Naoki , Sato Noriko , Widholm Per , Dahlqvist Leinhard Olof , Ahlgren André , Mori‐Yoshimura Madoka 
Published: September 2024

AbstractIntroduction/AimsFat‐referenced magnetic resonance imaging (MRI) has emerged as a promising volumetric technique for measuring muscular volume and fat in neuromuscular disorders, but the experience in inflammatory myopathies remains limited. Therefore, this work aimed at describing how sporadic inclusion body myositis (sIBM) manifests on standardized volumetric fat‐referenced MRI muscle measurements, including within‐scanner repeatability, natural progression rate, and relationship to clinical parameters.MethodsTen sIBM patients underwent whole‐leg Dixon MRI at baseline (test–retest) and after 12 months. The lean muscle volume (LMV), muscle fat fraction (MFF), and muscle fat infiltration (MFI) of the quadriceps, hamstrings, adductors, medial gastrocnemius, and tibialis anterior were computed. Clinical assessments of IBM Functional Rating Scale (IBMFRS) and knee extension strength were also performed. The baseline test–retest MRI measurements were used to estimate the within‐subject standard deviation (sw). 12‐month changes were derived for all parameters.ResultsThe MRI measurements showed high repeatability in all muscles; sw ranged from 2.7 to 18.0 mL for LMV, 0.7–1.3 percentage points (pp) for MFF, and 0.2–0.7 pp for MFI. Over 12 months, average LMV decreased by 7.4% while MFF and MFI increased by 3.8 pp and 1.8 pp, respectively. Mean IBMFRS decreased by 2.4 and mean knee extension strength decreased by 32.8 N.DiscussionThe MRI measurements showed high repeatability and 12‐month changes consistent with muscle atrophy and fat replacement as well as a decrease in both muscle strength and IBMFRS. Our findings suggest that fat‐referenced MRI measurements are suitable for assessing disease progression and treatment response in inflammatory myopathies.
Experimental validation of an innovative method for minimization of deformation tolerances of reinforced concrete ceilings
Authors: Müllner Herbert W. , Akyol Sarah , Hofer Peter 
Published: September 2024

AbstractThe static design of reinforced concrete ceilings is mostly based on finite element calculations. If the calculated deformation is too big, a superelevation is carried out in order to optimize the thickness of the ceiling. The superelevation is achieved by setting parts of the formwork a fixed amount higher than the edge areas of the ceilings before concreting. In this contribution, a validation of various numerical methods and a new load approach for the deformation of concrete slabs by means of measurement results is shown whereas the focus is on the multistory support of ceilings, which have not arrived the full Young's modulus.
Immersive citizen science experiences and their role in changing perceptions of coastal wetlands
Authors: McKinley E. , Garcia Rojas M. I. , Palacios M. M. , Nichols C. G. , Bhattacharjee A. , Macreadie P. I. 
Published: September 2024

Abstract

Citizen, or community, science initiatives are increasingly recognised as an effective strategy to connect society with nature, science and environmental issues. However, different approaches to the delivery of the programmes can have different impacts on participant awareness, perceptions and behaviour change—especially when working with ecosystems perceived as less popular or uncharismatic, such as coastal wetlands, mangroves and saltmarshes.

Using the HSBC Blue Carbon Citizen Science Programme as a case study, we compared two groups of corporate employees from Australia and New Zealand (N = 89) who participated in either: (a) a short duration citizen science experience including educational workshops and fieldwork in a local wetland; or (b) in educational workshops‐only. Questionnaires assessed the impact on participants' knowledge and perception towards wetlands, as well as their likelihood of adopting sustainable behaviours.

Results revealed that participants' knowledge and understanding of environmental concepts increased, independent of the type of experience attended. However, the citizen science experience was more effective at fostering participants' intentions to make behaviour changes, with 64% of citizen science participants implementing sustainable changes at home or work, compared to 45% of workshop‐only participants.

Our results highlight the importance of immersive citizen science experiences that, even of short duration, can have a valuable role enhancing participant knowledge, perception, and importantly, intention to make long‐term behaviour changes.

With the increasing challenges faced by coastal systems globally, incorporating hands‐on, immersive experiences into educational programmes can be a strategic solution to improve ocean and climate literacy, while facilitating the actions required for a sustainable future.

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