bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of inpatient palliative care in metastatic testicular cancer patients undergoing critical care therapy: insights from the national inpatient sample
Authors: Cano Garcia Cristina , Incesu Reha-Baris , Barletta Francesco , Morra Simone , Scheipner Lukas , Baudo Andrea , Tappero Stefano , Piccinelli Mattia Luca , Tian Zhe , Saad Fred , Shariat Shahrokh F. , Terrone Carlo , De Cobelli Ottavio , Carmignani Luca , Ahyai Sascha , Longo Nicola , Tilki Derya , Briganti Alberto , Banek Severine , Kluth Luis A. , Chun Felix K. H. , Karakiewicz Pierre I. 
Published: January 2025

AbstractTo test for rates of inpatient palliative care (IPC) in metastatic testicular cancer patients receiving critical care therapy (CCT). Within the Nationwide Inpatient Sample (NIS) database (2008–2019), we tabulated IPC rates in metastatic testicular cancer patients receiving CCT, namely invasive mechanical ventilation (IMV), percutaneous endoscopic gastrostomy tube (PEG), dialysis for acute kidney failure (AKF), total parenteral nutrition (TPN) or tracheostomy. Univariable and multivariable logistic regression models addressing IPC were fitted. Of 420 metastatic testicular cancer patients undergoing CCT, 70 (17%) received IPC. Between 2008 and 2019, the rates of IPC among metastatic testicular cancer patients undergoing CCT increased from 5 to 19%, with the highest rate of 30% in 2018 (EAPC: + 9.5%; 95% CI + 4.7 to + 15.2%; p = 0.005). IPC patients were older (35 vs. 31 years, p = 0.01), more frequently had do not resuscitate (DNR) status (34 vs. 4%, p < 0.001), more frequently exhibited brain metastases (29 vs. 17%, p = 0.03), were more frequently treated with IMV (76 vs. 53%, p < 0.001) and exhibited higher rate of inpatient mortality (74 vs. 29%, p < 0.001). In multivariable analyses, DNR status (OR 10.23, p < 0.001) and African American race/ethnicity (OR 4.69, p = 0.003) were identified as independent predictors of higher IPC use. We observed a significant increase in rates of IPC use in metastatic testicular cancer patients receiving CCT, rising from 5 to 19% between 2008 and 2019. However, this rates remain lower compared to metastatic lung cancer patients, indicating the need for further awareness among clinicians treating metastatic testicular cancer. The increase in IPC rates for metastatic testicular cancer patients receiving CCT indicates a need for ongoing education and awareness among healthcare providers. This could enhance the integration of IPC in the treatment of advanced cancer, potentially improving quality of life and care outcomes for survivors.
Application of urinary peptide-biomarkers in trauma patients as a predictive tool for prognostic assessment, treatment and intervention timing
Authors: Aktas Gökmen , Keller Felix , Siwy Justyna , Latosinska Agnieszka , Mischak Harald , Mayor Jorge , Clausen Jan , Wilhelmi Michaela , Brauckmann Vesta , Sehmisch Stephan , Pacha Tarek Omar 
Published: January 2025

AbstractTreatment of severely injured patients represents a major challenge, in part due to the unpredictable risk of major adverse events, including death. Preemptive personalized treatment aimed at preventing these events is a crucial objective of patient management; however, the currently available scoring systems provide only moderate guidance. Biomarkers from proteomics/peptidomics studies hold promise for improving the current situation, ultimately enabling precision medicine based on individual molecular profiles. To test the hypothesis that peptide biomarkers could predict patient outcomes in severely injured patients, we initiated a pilot study involving consecutive urine sampling (on days 0, 2, 5, 10, and 14) and subsequent peptidome analysis using capillary electrophoresis coupled to mass spectrometry (CE-MS) of 14 severely injured patients and two additional intensive care unit patients. The urine peptidomes of these patients were compared to those of age- and sex-matched controls. Moreover, previously established urinary peptide-based classifiers, CKD273, AKI204, and Cov50, were applied to the obtained peptidome data, and the association of the classifier’s scores with a combined endpoint (death and/or kidney failure and/or respiratory insufficiency) was investigated. CE-MS peptidome analysis identified 191 significantly altered peptides in severely injured patients. A consistent increase in the abundance of peptides from A1AT, AHSG, and HBA1 was observed, while peptides derived from PIGR and UROM were consistently decreased. Most of the significant peptides (adjusted p < 0.05) were from COL1A1, and most were reduced in abundance. Two of the previously defined and validated peptidomic classifiers, CKD273 and AKI204, showed significant associations with the combined endpoint, which was not observed for the routine scores generally applied in the clinics. This prospective pilot study confirmed the hypothesis that urinary peptides provide information on patient outcomes and may guide personalized interventions in severely injured patients based on individual molecular changes. The results obtained allow the planning of a well-powered prospective trial investigating the value of urinary peptides in this context in more detail.
Associations of time spent on different types of digital media with self-rated general and mental health in Swedish adolescents
Authors: Frielingsdorf Helena , Fomichov Victoria , Rystedt Ingrid , Lindstrand Sofia , Korhonen Laura , Henriksson Hanna 
Published: January 2025

AbstractAlthough previous studies have suggested an association between digital media use and health, detailed knowledge about how different types of digital media impact adolescent health is limited. This cross-sectional population-based study explored the relationship between time spent on various digital media and adolescents’ self-rated general and mental health. The study included 3566 Swedish high school students aged 16–17 years. Associations between time spent on digital media (social media, gaming, watching movies/series/video clips etc. and digital schoolwork) and self-rated health outcomes (general health, self-esteem, symptoms of worry/anxiety and low mood/depression, trust in other people, head/neck/shoulder pain and sleep quality) was assessed. Statistical analyses employed logistic regression models adjusted for covariates (sociodemographic variables and health behaviours). In the adjusted models, spending very high amounts of time (≥ 6 h/day) on any digital media, except schoolwork, was associated with poor self-esteem, symptoms of low mood/depression and poor sleep (ORs 1.35–2.93, p < 0.05). Spending six hours or more on digital media was also associated with worry/anxiety (for social media and gaming), head/neck/shoulder pain (for social media, watching movies/series/video clips and schoolwork), poor general health (for gaming and watching movies/series/video clips) and low trust (for gaming) (ORs 1.39–3.18, p < 0.05). High amounts of time (4–5 h/day) of watching movies/series/video clips was associated with daily symptoms of low mood/depression, neck/shoulder pain, and low trust in other people (ORs 1.46, 1.41, and 1.32, p < 0.05). This study indicates a dose-response relationship between digital media use and adverse health outcomes in adolescents, where adverse associations start to appear after 4–5 h, particularly for watching movies/series/video clips. However, further longitudinal studies, randomized controlled trials and public health interventions focused on healthy and balanced use of digital media are warranted.
Investigations on the synthesis and characterization of silver-doped MoO3 thin films for photocatalytic applications
Authors: Kamoun Olfa , Akkari Anis , Alhalaili Badriyah , Vidu Ruxandra , Turki-Kamoun Najoua 
Published: January 2025

AbstractIn this study, we aimed to enhance the photocatalytic performance of molybdenum oxide (MoO3) thin films by doping with silver (Ag) via a spray pyrolysis technique. The primary objective for silver incorporation was intended to introduce additional energy levels into the band structure of MoO3, improving its efficiency. Structural, optical, and photocatalytic properties were analyzed using X-ray diffraction (XRD) and optical spectroscopy. XRD results confirmed an orthorhombic phase with a (040) preferential orientation for all samples. Optimal crystallinity was observed with 2% Ag doping, yielding an 84 nm crystallite size, while higher doping levels reduced crystallite size. Band gap energy narrowed from 3.07 eV (undoped) to 2.94 eV (2% Ag-doped), indicating electronic structure changes. Impedance spectroscopy revealed superior electrical properties at 4% Ag doping, enhancing charge transport. Photocatalytic performance, assessed via dye degradation, showed significant improvement with silver doping, the degradation rate peaking at 4% Ag. These results demonstrate that silver doping optimizes structural and electronic properties of MoO3 thin films, leading to enhanced photocatalytic activity.
Possible glendonite mineral pseudomorphs in the aftermath of the end-Permian extinction
Authors: Al-Sarmi Musaab , Wood Rachel 
Published: January 2025

AbstractGlendonites (from the precursor of ikaite, CaCO3.6H2O) preferentially precipitate within sediments in cold waters (− 2 to 7°C) via either organotrophic or methanogenic sulphate reduction. Here, we report the first occurrence of possible glendonites associated with the end Permian mass extinction in the earliest Triassic (ca. 252 Million years ago, Ma) subtropical marine carbonates on the Arabian Plateau, Oman. The authigenic carbonate crystals are small (< 2 mm) and precipitated either on bedding planes or reworked within micro cross-laminations, erosional scours, or lags at the base of calcisiltite turbidites, supporting a syn-depositional origin. The observed shape and macrostructure bear resemblance to that of glendonites. SEM and cathodoluminescent imaging reveals unzoned internal structures with three mineral phases: irregular, pseudo-hexagonal and spherical low-Mg calcite crystals (Type 1), low-Mg calcite cement (Type 2), and a later void-filling silica cement (Type 3). The pseudomorphs show δ13C values from − 0.14‰ to − 0.85‰ (mean − 0.43‰; n = 5) that are more positive than the associated micritic matrix, where values range from − 0.92‰ to − 2.39‰ (mean − 1.64‰; n = 7), indicating that oceanic dissolved inorganic carbon (DIC) was the primary carbon source rather than either methane or organic matter. These δ13C values significantly differ from typical δ13C signatures of authentic glendonites, except for Ordovician examples. If these are glendonites, we infer that they could have precipitated due to the unusually elevated alkalinity and pH (> 9) oceanic conditions present in the aftermath of the end-Permian extinction associated with highly disrupted carbon cycle dynamics, possibly accompanied with the upwelling of cold, anoxic oceanic water.
Regional patterns of wild animal hunting in African tropical forests
Authors: Ingram Daniel J. , Froese Graden Z. L. , Carroll Daire , Bürkner Paul C. , Maisels Fiona , Abugiche Ajonina S. , Allebone-Webb Sophie , Balmford Andrew , Cornelis Daniel , Dethier Marc , Dounias Edmond , Ekodeck Herbert G. , Emogor Charles A. , Fa Julia E. , Fonteyn Davy , Ghiurghi Andrea , Greengrass Elizabeth , Kümpel Noëlle F. , Lupo Karen , Muhindo Jonas , Ngandjui Germain , Ngohouani Gracia Dorielle , Sandrin François , Schleicher Judith , Schmitt Dave N. , Vanegas Liliana , Vanthomme Hadrien P. A. , van Vliet Nathalie , Willcox Adam S. , Midoko Iponga Donald , Kemalasari Della , Muchlish Usman , Nasi Robert , Sampurna Yahya , Tarla Francis Nchembi , Willis Jasmin , Scharlemann Jӧrn P. W. , Abernethy Katharine , Coad Lauren 
Published: January 2025

Abstract
Wildlife contributes to the diets, livelihoods and socio-cultural activities of people worldwide; however, unsustainable hunting is a major pressure on wildlife. Regional assessments of the factors associated with hunting offtakes are needed to understand the scale and patterns of wildlife exploitation relevant for policy. We synthesized 83 studies across West and Central Africa to identify the factors associated with variation in offtake. Our models suggest that offtake per hunter per day is greater for hunters who sell a greater proportion of their offtake; among non-hunter-gatherers; and in areas that have better forest condition, are closer to protected areas and are less accessible from towns. We present evidence that trade and gun hunting have increased since 1991 and that areas more accessible from towns and with worse forest condition may be depleted of larger-bodied wildlife. Given the complex factors associated with regional hunting patterns, context-specific hunting management is key to achieving a sustainable future.
Label free, capillary-scale blood flow mapping in vivo reveals that low-intensity focused ultrasound evokes persistent dilation in cortical microvasculature
Authors: Shen YuBing Y. , Jethe Jyoti V. , Reid Ashlan P. , Hehir Jacob , Amaral Marcello Magri , Ren Chao , Hao Senyue , Zhou Chao , Fisher Jonathan A. N. 
Published: January 2025

AbstractNon-invasive, low intensity focused ultrasound is an emerging neuromodulation technique that offers the potential for precision, personalized therapy. An increasing body of research has identified mechanosensitive ion channels that can be modulated by FUS and support acute electrical activity in neurons. However, neuromodulatory effects that persist from hours to days have also been reported. The brain’s ability to provide blood flow to electrically active regions involves a multitude of non-neuronal cell types and signaling pathways in the cerebral vasculature; an open question is whether persistent effects can be attributed, at least partly, to vascular mechanisms. Using an in vivo optical approach, we found that microvasculature, and not larger vessels, exhibit significant persistent dilation following sonication without the use of microbubbles. This finding reveals a heretofore unseen aspect of the effects of FUS in vivo and indicates that concurrent changes in neurovascular function may partially underly persistent neuromodulatory effects.
Discovery of giant unit-cell super-structure in the infinite-layer nickelate PrNiO2+x
Authors: Oppliger Jens , Küspert Julia , Dippel Ann-Christin , v. Zimmermann Martin , Gutowski Olof , Ren Xiaolin , Zhou Xingjiang , Zhu Zhihai , Frison Ruggero , Wang Qisi , Martinelli Leonardo , Biało Izabela , Chang Johan 
Published: January 2025

AbstractThe discovery of unconventional superconductivity often triggers significant interest in associated electronic and structural symmetry breaking phenomena. For the infinite-layer nickelates, structural allotropes are investigated intensively. Here, using high-energy grazing-incidence x-ray diffraction, we demonstrate how in-situ temperature annealing of the infinite-layer nickelate PrNiO2+x (x ≈ 0) induces a giant superlattice structure. The annealing effect has a maximum well above room temperature. By covering a large scattering volume, we show a rare period-six in-plane (bi-axial) symmetry and a period-four symmetry in the out-of-plane direction. This giant unit-cell superstructure—likely stemming from ordering of diffusive oxygen—persists over a large temperature range and can be quenched. As such, the stability and controlled annealing process leading to the formation of this superlattice structure provides a pathway for novel nickelate chemistry.
Experimental study of laser-induced bubble collapse near a rigid wall based on the double-exposure method
Authors: Wen Haigang , Sun Yurong , Geng Siyuan , Yao Zhifeng , Zhong Qiang 
Published: January 2025

Capturing and studying the process of cavitation bubble collapse can help elucidate the mechanism of cavitation erosion. In this paper, a high-spatiotemporal-resolution double-exposure photographic method is used to investigate the collapse of laser-induced cavitation bubbles at two values of the dimensionless distance from the bubble to the wall, γ = d/Rmax = 0.9 and 1.25 (where d is the vertical distance between the bubble center and the wall and Rmax is the maximum radius of the bubble). Complete high-resolution evolution sequences of bubbles near a rigid wall are captured from optical breakdown to second collapse. The generation and development of microjets and shock waves during cavitation bubble collapse are described in detail. The oscillations of the bubble near the rigid wall and the microjets and shock waves generated by the collapse are analyzed. It is shown that the presence of the rigid wall affects the development of the bubble and microjets. The microjet velocity can reach up to 64 m/s. Multiple shock waves are found to be generated by bubble collapse.
Modeling expression of the research gap in text-based reading instruction
Authors: Ferdiansyah Sandi , Picard Michelle 
Published: January 2025

Abstract
This small-scale intervention aimed to prepare students to express a particular academic writing feature (the
research gap) through a structured intervention in corpus reading tasks. Four undergraduate (second year) students majoring in
English education participated in a collaborative corpus-based analysis of selected published articles. They then drew on the
corpus exemplars to develop their own gap statements. Data were collected from focus group interviews, students’ learning
journals, and learning artifacts. There were two key findings. First, the students indicated that corpus-based analysis helped
them become critical readers to recognize lexis used to show the research gap in the corpus-based database. Secondly, students
learned from the collocation patterns in the corpus to express the research gap in their own contexts. The study has practical
implications for language teaching demonstrating how corpus-based text-based language teaching can be a catalyst for students to
become active and critical meaning makers.
Optimal weighted multi-scale entropy-energy ratio feature for rolling bearing degradation assessment
Authors: Shen Chen , Luo Jiesi , Jiang Pengli , Lin Guijuan , Zhang Shaohui 
Published: January 2025

Abstract
Extracting effective features from the full lifecycle data of mechanical equipment components and constructing a high-quality degradation assessment model are crucial in data-driven rolling bearing performance evaluation. Traditional single-feature methods often fail to capture the complex characteristics and subtle changes of faults comprehensively, leading to inadequate sensitivity and accuracy in early degradation detection. To address this issue, an adaptive optimal weighted multi-scale entropy-energy ratio feature extraction method is proposed and combined with a degradation model for evaluation. This method optimizes the relationship between multi-scale permutation entropy and root mean square through weighted parameters, integrating the advantages of both to enhance fault detection capabilities. Additionally, a weight parameter calculation method is introduced to ensure that features maintain good degradation expression under varying conditions. The features are then input into a common degradation model to generate the rolling bearing degradation curve. The effectiveness of the proposed method is validated using datasets from the NSFI/UCR Intelligent Maintenance Center (IMS) and Xi’an Jiaotong University-Changxing Shengyang Technology (XJTU-SY). Compared to features before optimization, the proposed method significantly improves early degradation point detection, monotonicity, correlation, and robustness.
Proposal for local SAR safety margin in pediatric neuro-imaging using 7 T MRI and parallel transmission
Authors: Dudysheva N , Luong M , Amadon A , Morel L , Touz N Le , Vignaud A , Boulant N , Gras V 
Published: January 2025

Abstract

Objective. Ultra-high field MRI with parallel transmission (pTx) provides a powerful neuroimaging tool with potential application in pediatrics. The use of pTx, however, necessitates a dedicated local specific absorption rate (SAR) management strategy, able to predict and monitor the peak local SAR (pSAR10g). In this work, we address the pSAR10g assessment for an in-house built 7 T 16Tx32Rx pediatric head coil, using the concept of virtual observation points (VOPs) for SAR estimation. Approach. We base our study on full-wave electromagnetic simulations performed on a database of 64 numerical anatomical head models of children aged between 4 and 16 years. We built VOPs on different subsets of this database of N= 2 up to 30 models, and cross-validated the pSAR10g prediction using non-intersecting subsets, each containing 30 models. We thereby propose a minimum anatomical safety factor (ASF) to apply to the VOP set to enforce safety, despite intersubject variability. Our analysis relies on the computation of the worst case SAR to VOP-SAR ratio, independent of the pTx RF excitation. Main results. The interpolation model provides that the minimum ASF decreases as

1
+
5.37
⋅

N

−
0.75

with N. Using all 64 models to build VOPs leads to an estimated ASF of 1.24 when considering the VOP validity for an infinite number of subjects. Significance. We propose a general simulation workflow to guide ASF estimation and quantify the trade-off between the number of numerical models available for VOP construction and the safety factor. The approach would apply to any simulation dataset and any pTx setup.
Forecasting random fatigue damage in laser-induced graphene interlayered fiberglass composites using long short-term memory
Authors: Chen Boyang , Childress Adam , Nasser Jalal , Fischer Michael , Sodano Henry A 
Published: January 2025

Abstract
Predicting the remaining life of composite materials under random dynamic loading is challenging due to the unpredictable nature of damage accumulation. Traditional fatigue prediction methods, which often assume sinusoidal loading, struggle to capture the complexities of random load profiles. This study advances fatigue life prediction by integrating deep learning techniques, including multilayer perceptrons (MLP) and long short-term memory (LSTM) neural networks, with laser-induced graphene (LIG) interlayered fiberglass composites. The piezoresistive properties of LIG, with resistance ranges between 100 and 350 Ω, enable effective in-situ tracking of fatigue damage. Results demonstrate that the LSTM network achieves superior accuracy, with R2 > 0.99 and RMSE values as low as 6×10-4 for predictions starting with just 20% of the data. Compared to MLP models, which require 40% of initial measurements to achieve similar accuracy, LSTM networks excel in capturing nonlinear damage propagation at later fatigue stages. These findings underscore the potential of LIG-based deep learning frameworks for closed-loop fatigue monitoring and reliable prognosis in dynamic environments.