bluuebunny/crossref_metadata_2025_split huggingface dataset:
I’m still me, I’m still a person: war metaphor use and meaning making in women with metastatic breast cancer
Authors: Hulse Sarah B. , Balogun Zainab , Rosenzweig Margaret Q. , Marsland Anna L. , Palmer Vanessa M. 
Published: January 2024

Abstract
Purpose
The war metaphor is one strategy used frequently in breast cancer to inspire individuals in a “fight” against cancer and assist patients in navigating their illness experience. Despite prominent use, the emotional impact of this language has not been examined in the context of meaning making among women with metastatic breast cancer (MBC).

Methods
This study involved a semi-structured interview considering the war metaphor’s impact on women’s illness experience with MBC. Participants (n = 22) had been diagnosed with MBC for at least 6 months or following 1 disease progression and were undergoing treatment at an NCI-designated cancer center in Western Pennsylvania at the time of interview. Each participant underwent an individual interview exploring the war metaphor’s impact on illness experience. Qualitative thematic analysis was performed to assess feelings about the war metaphor and emotional response to the lived experience of cancer.

Results
Two themes were identified surrounding metaphor use and participants’ experiences with meaning making in cancer. First, women with MBC perceive the diagnosis as an “unfair fight” due to its incurable nature. Second, patients use alternative language of “living life” and communicate resistance to being defined by their cancer diagnosis.

Conclusion
War metaphors are one collection of terminology people use to understand their diagnosis. However, their use may apply pressure to prioritize positivity in the face of diagnosis and treatment, in a unique clinical context where this may not be adaptive. These findings affirm a need to consider patients’ lived experiences to best facilitate psychological adjustment to illness.
ITrans: generative image inpainting with transformers
Authors: Miao Wei , Wang Lijun , Lu Huchuan , Huang Kaining , Shi Xinchu , Liu Bocong 
Published: January 2024

AbstractDespite significant improvements, convolutional neural network (CNN) based methods are struggling with handling long-range global image dependencies due to their limited receptive fields, leading to an unsatisfactory inpainting performance under complicated scenarios. To address this issue, we propose the Inpainting Transformer (ITrans) network, which combines the power of both self-attention and convolution operations. The ITrans network augments convolutional encoder–decoder structure with two novel designs, i.e. , the global and local transformers. The global transformer aggregates high-level image context from the encoder in a global perspective, and propagates the encoded global representation to the decoder in a multi-scale manner. Meanwhile, the local transformer is intended to extract low-level image details inside the local neighborhood at a reduced computational overhead. By incorporating the above two transformers, ITrans is capable of both global relationship modeling and local details encoding, which is essential for hallucinating perceptually realistic images. Extensive experiments demonstrate that the proposed ITrans network outperforms favorably against state-of-the-art inpainting methods both quantitatively and qualitatively.
Acute evacuation of 54 intracerebral hematomas (aICH) during the microsurgical clipping of a ruptured middle cerebral artery bifurcation aneurysm—illustration of the individual clinical courses and outcomes with a serial brain CT/MRI panel until 12 months
Authors: Autio Anniina H. , Paavola Juho , Tervonen Joona , Lång Maarit , Elomaa Antti-Pekka , Huuskonen Terhi J. , Huttunen Jukka , Kärkkäinen Virve , von Und Zu Fraunberg Mikael , Lindgren Antti E. , Koivisto Timo , Kurola Jouni , Jääskeläinen Juha E. , Kämäräinen Olli-Pekka 
Published: January 2024

Abstract

Purpose
In aneurysmal intracerebral hemorrhage (aICH), our review showed the lack of the patient’s individual (i) timeline panels and (ii) serial brain CT/MRI slice panels through the aICH evacuation and neurointensive care until the final brain tissue outcome.

Methods
Our retrospective cohort consists of 54 consecutive aICH patients from a defined population who acutely underwent the clipping of a middle cerebral artery bifurcation saccular aneurysm (Mbif sIA) with the aICH evacuation at Kuopio University Hospital (KUH) from 2010 to 2019. We constructed the patient’s individual timeline panels since the emergency call and serial brain CT/MRI slice panels through the aICH evacuation and neurointensive care until the final brain tissue outcome. The patients were indicated by numbers (1.–54.) in the pseudonymized panels, tables, results, and discussion.

Results
The aICH volumes on KUH admission (median 46 cm3) plotted against the time from the emergency call to the evacuation (median 8 hours) associated significantly with the rebleeds (n=25) and the deaths (n=12). The serial CT/MRI slice panels illustrated the aICHs, intraventricular hemorrhages (aIVHs), residuals after the aICH evacuations, perihematomal edema (PHE), delayed cerebral injury (DCI), and in the 42 survivors, the clinical outcome (mRS) and the brain tissue outcome.

Conclusions
Regarding aICH evacuations, serial brain CT/MRI panels present more information than words, figures, and graphs. Re-bleeds associated with larger aICH volumes and worse outcomes. Swift logistics until the sIA occlusion with aICH evacuation is required, also in duty hours and weekends. Intraoperative CT is needed to illustrate the degree of aICH evacuation. PHE may evoke uncontrollable intracranial pressure (ICP) in spite of the acute aICH volume reduction.
Stereotactic radiosurgery for brain arteriovenous malformations in patients with hereditary hemorrhagic telangiectasia
Authors: González Eduardo Orrego , Runge Sean , Mantziaris Georgios , Ironside Natasha , Sheehan Jason P. 
Published: January 2024

Abstract

Objective
Brain arteriovenous malformations (AVMs) in patients with hereditary hemorrhagic telangiectasia (HHT) present different characteristics from sporadic AVMs, and they have lower initial bleeding rates. Conservative management is usually preferred for the treatment of these lesions. In this case study, we present the largest series of HHT patients treated with stereotactic radiosurgery to date.

Methods
We identified eight patients with HHT and 14 AVMs. We retrospectively collected clinical, radiographic, and treatment characteristics of the patients and each AVM.

Results
Most patients in our sample presented with small AVMs. The median volume of these AVMs was 0.22 cm3 (IQR 0.08–0.59). Three out of eight patients presented with initial intracerebral hemorrhage (ICH). The majority of lesions had low (12/14) Spetzler-Martin grades (I–II). Median maximum and margin doses used for treatment were 36.2 (IQR 35.25–44.4) and 20 (IQR 18–22.5) Gy, respectively. The overall obliteration rate after SRS was 11/14, and the median time to obliteration across all 11 obliterated AVMs was 35.83 months (IQR, 17–39.99). Neurological status was favorable with all patients having a mRS of 0 or 1 at the last follow-up. Symptomatic radiation-induced changes (RIC) after SRS were low (7.1%), and there were no permanent RIC.

Conclusions
Patients with HHT who present with multiple brain AVMs are generally well served by SRS. Obliteration can be achieved in the majority of HHT patients and with a low complication rate. In the current study, initial hemorrhage rates prior to SRS were noticeable which supports the decision to treat these AVMs. Future studies are needed to better address the role of SRS for HHT patients harboring ruptured and unruptured AVMs.
Sondersituation der Daten in der Onkologie
Authors: Metzger P. , Gräßel L. , Illert A. L. , Boerries M. 
Published: January 2024

ZusammenfassungDie Nutzung künstlicher Intelligenz (KI) in der Onkologie verspricht eine kontinuierliche Verbesserung der Krebsbehandlung und der Krebsprävention. Neben der Verbesserung von Diagnostik und Therapieoptimierung trägt KI auch zur Effizienzsteigerung klinischer Prozesse bei. Die Automatisierung von Routineaufgaben und KI-gestützte Entscheidungsunterstützungssysteme erleichtern die Arbeit der Ärzt:innen, indem sie relevante Informationen in Echtzeit bereitstellen. Zudem zeigen KI-Algorithmen beeindruckende Fähigkeiten bei der präzisen Erkennung von Tumoren (z. B. durch die Analyse medizinischer Bilddaten sowie bei der Identifizierung genetischer Marker für personalisierte Therapieansätze). Voraussetzung dafür ist die Bereitstellung von standardisierten Datensätzen, was auch in der Onkologie eine Herausforderung darstellt. Die Komplexität der verschiedenen Datentypen, einschließlich medizinischer Bilder, genomischer Daten und klinischer Informationen, erfordert nicht nur fortgeschrittene Analysemethoden, sondern auch die Bereitstellung der Daten in einer standardisierten Form. Zudem müssen Datenschutz- und ethische Aspekte bei der Verwendung sensibler Patient:innendaten adressiert und berücksichtigt werden. Transparenz und Interpretierbarkeit von KI-Algorithmen sind hier entscheidend, um das Vertrauen in die Technologie zu stärken. Die Kombination von KI und Onkologie signalisiert einen Paradigmenwechsel hin zu einer präziseren, personalisierten und effizienteren Patient:innenversorgung bei gleichzeitiger Verbesserung der Lebensqualität. Während die positiven Auswirkungen auf die diagnostische Genauigkeit und die Therapieoptimierung vielversprechend sind, erfordert die Bewältigung der datenbezogenen Herausforderungen eine kontinuierliche Zusammenarbeit zwischen Wissenschaftler:innen, Informatiker:innen, Ärzt:innen und Patient:innen.
Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks
Authors: Pascaner Ariel Fernando , Rosato Antonio , Fantazzini Alice , Vincenzi Elena , Basso Curzio , Secchi Francesco , Lo Rito Mauro , Conti Michele 
Published: January 2024

AbstractThis work aimed to automatically segment and classify the coronary arteries with either normal or anomalous origin from the aorta (AAOCA) using convolutional neural networks (CNNs), seeking to enhance and fasten clinician diagnosis. We implemented three single-view 2D Attention U-Nets with 3D view integration and trained them to automatically segment the aortic root and coronary arteries of 124 computed tomography angiographies (CTAs), with normal coronaries or AAOCA. Furthermore, we automatically classified the segmented geometries as normal or AAOCA using a decision tree model. For CTAs in the test set (n = 13), we obtained median Dice score coefficients of 0.95 and 0.84 for the aortic root and the coronary arteries, respectively. Moreover, the classification between normal and AAOCA showed excellent performance with accuracy, precision, and recall all equal to 1 in the test set. We developed a deep learning-based method to automatically segment and classify normal coronary and AAOCA. Our results represent a step towards an automatic screening and risk profiling of patients with AAOCA, based on CTA.
A Complete Analysis Pipeline for the Processing, Alignment and Quantification of HPLC–UV Wine Chromatograms
Authors: Ianeselli Alan , Longo Edoardo , Poggesi Simone , Montali Marco , Boselli Emanuele 
Published: January 2024

AbstractElucidating the chemistry of wine would help defining its quality, chemical and sensory characteristics and optimise the wine-making processes. High-performance liquid chromatography coupled with UV–Vis spectroscopy (HPLC–UV–Vis) is a common analysis method used to obtain the molecular profile of wine samples. We propose a complete procedure for the analysis of wine chromatograms. Data are pre-processed using standard methods of down-sampling, smoothing and baseline subtraction. Multiple samples are then merged in a three-dimensional tensor, decomposed using parallel factor analysis (PARAFAC2) into three factors: (i) one reduced (rank-one) chromatogram per sample, (ii) an estimate of the samples’ spectral UV–Vis profile and (iii) an estimate of the samples’ concentrations. If the decomposition is performed on a single peak of the tensor, the second and third factors correspond to the representative wavelength spectrum and to the relative concentrations of the samples, respectively. Otherwise, when multiple peaks are analysed, further processing is required. In the latter case, the decomposed rank-one chromatograms are peak-detected and aligned, clustered and integrated. A table containing the concentration of the peaks at different retention times is obtained. The pipeline proposed in this study is a guideline for a quantitative and reproducible chemical analysis of wine, or other samples, via the HPLC–UV–Vis method.
Differentiation, maturation, and collection of THP-1-derived dendritic cells based on a PEG hydrogel culture platform
Authors: Choi Jaeho , Ki Chang Seok 
Published: January 2024

Abstract
Purpose
Dendritic cell (DC) is a spearhead responsible for immune response and surrounded by extracellular matrix in three-dimensional (3D) tissue. Nevertheless, conventional DC culture has relied on suspension or two-dimensional (2D) tissue culture plate (TCP)-based culture system. This culture condition often fails to recapitulate the physiological behavior of DC in real tissue. In this work, the effect of culture condition on DC physiology was explored with varying 3D hydrogel property (i.e., degradability, adhesion, and stiffness). In particular, DC differentiation and maturation in 3D were evaluated comparing the conventional TCP-based culture condition.

Method
THP-1 cells were encapsulated in poly(ethylene glycol) (PEG) hydrogel via thiol-ene photocrosslinking with non-degradable or proteolytically degradable peptide crosslinker. Hydrogel stiffness was manipulated by controlling the concentration of crosslinker. The metabolic activities and cytotoxicity of the encapsulated cells were measured by resazurin and Live/Dead assays, respectively. Cell harvesting was conducted via enzymatic degradation using α-chymotrypsin, and differentiation and maturation of the liberated DCs were evaluated by quantitative polymerase chain reaction and flow cytometry.

Results
THP-1 cells well proliferated in the soft degradable hydrogel with a higher metabolic activity. However, the stiff matrix inhibited cell growth in 3D. The gene expression assay indicated that the 3D hydrogel condition was superior to 2D culture in terms of differentiation and maturation of DC. Interestingly, the stiffness of matrix was important factor in DC function. In the stiff hydrogel, the expression levels of differentiation and maturation markers were higher compared to the low stiffness hydrogel. The mature DCs caged in the hydrogel matrix were harvested after short enzymatic digestion of hydrogel and the liberated cells had over 90% viability. The flow cytometric result revealed that the proportion of CD80 + /CD86 + cells from the stiff hydrogel was relatively higher than cells either from 2D or soft hydrogel in 3D.

Conclusion
The collected evidence indicated that the proteolytically degradable PEG hydrogel matrix promoted DC differentiation and maturation. In addition, the matrix stiffness control could manipulate the marker expressions of differentiation and maturation. Particularly, the mature DC was successfully collected from the hydrogel matrix. These results highlighted the PEG hydrogel-based DC culture might be a useful tool for potential DC-based immunotherapies.
No Such Thing as Free Speech? Performativity, Free Speech, and Academic Freedom in the UK
Authors: Bacevic Jana 
Published: January 2024

AbstractThe relationship between academic freedom and freedom of speech features prominently in public and political discussions concerning the role of universities in Western liberal democracies. Recently, these debates have attracted increased attention, owing in part to media framing of a ‘free speech crisis’, especially in UK and US universities. One type of response is to regulate academic expression through legislation, such as the UK’s 2023 Higher Education (Freedom of Speech) Act. This article offers a critical analysis of the assumptions concerning the performativity of speech in this kind of legal intervention. It extends Judith Butler’s discussion of the concept of ‘harmful speech’ (Excitable speech: a politics of the performative, Routledge Classics, London, 1997) to conceptualize speech-acts as performative not only when it comes to populations, but also when it comes to institutions. Reconceptualizing universities as producing as well as being constituted by speech-acts, the article argues that the effects of free speech legislation need to be considered in the context of the transformation of universities and other political actors (including governments and student unions) in the second half of the twentieth and the beginning of the twenty-first century. It argues that legal enforcement of free speech at universities further obscures the distinction between negative and positive liberties identified by Isaiah Berlin (Two Concepts of Liberty, Oxford University Press, Oxford, 1958), and considers this shift as part of the reconfiguration of political ontology in late modernity.
Long-term vegetation responses to climate depend on the distinctive roles of rewilding and traditional grazing systems
Authors: Rincon-Madroñero Marina , Sánchez-Zapata Jose Antonio , Barber Xavier , Barbosa Jomar M. 
Published: January 2024

Abstract
Context
The abandonment of traditional practices has transformed agro-pastoral systems, leading to a more frequent occurrence of passive rewilding of Mediterranean landscapes. Reconstructing ecosystem responses to climate under different grazing conditions (i.e., wild, and domestic ungulates) is important to understand the future of these ecosystems.

Objectives
Here we study the different roles of domestic and wild herbivory in defining the climate-vegetation interaction. Specifically, we evaluated (1) the effect of climate on primary productivity at the landscape scale and (2) the long-term trends of vegetation biomass in response to passive rewilding or maintenance of traditional grazing systems.

Methods
This study was carried out in South-eastern Spain. We used satellite images to generate NDVI time series that proxy primary productivity and vegetation biomass. We combined the NDVI and climate data from two key landscapes: one with wild ungulates and another predominantly with domestic ungulates.

Results
We detected a secondary succession process in areas with only wild ungulates. In domestic herbivory areas, vegetation biomass remained constant throughout time (30 years). In domestic herbivory areas temperature and seasonal precipitation affected primary productivity. In areas with only wild herbivory, primary productivity was mainly driven by annual precipitation, and it was less dependent on seasonal precipitation.

Conclusion
These results highlight the distinctive roles of herbivores in defining Mediterranean landscapes' adaptability to climate, through passive rewilding or traditional livestock use. Maintaining both ecosystems can enhance landscape heterogeneity and ecological sustainability in a context of climatic changes.
Establishment of a Novel Short Tandem Repeat Typing Method for Exophiala dermatitidis
Authors: Zoqi Hamide , Schmidt Dirk , Sedlacek Ludwig , Rath Peter-Michael , Steinmann Joerg , Kirchhoff Lisa 
Published: January 2024

AbstractThe opportunistic black yeast-like fungus Exophiala dermatitidis frequently colonizes the respiratory tract of cystic fibroses (CF) patients. Additionally, it can cause superficial, systemic, and cerebral forms of phaeohyphomycoses. The objective of this study was to develop and apply a microsatellite or short tandem repeat (STR) genotyping scheme for E. dermatitidis. In total, 82 E. dermatitidis isolates from various geographic origins (environmental = 9, CF = 63, invasive isolates = 9, melanin-deficient mutant = 1) were included in this study. After next-generation sequencing of a reference strain and sequence filtering for microsatellites, six STR markers were selected and amplified in two multiplex PCR reactions. The included isolates were discriminated in a genetic cluster analysis using the Pearson algorithm to reveal the relatedness of the isolates. The E. dermatitidis isolates clustered on basis of both, their source and their origin. The invasive isolates from Asia were unrelated to isolates from CF. Nearly all environmental isolates were grouped separately from patients’ isolates. The Simpson index was 0.94. In conclusion, we were able to establish a STR genotyping scheme for investigating population genomics of E. dermatitidis.
Diagnostic accuracy of MRI–CBCT fused images in assessment of clinically diagnosed internal derangement of the temporomandibular joint
Authors: ElShennawy Ethar M. , Hamed Walaa M. , Samir Sahar M. 
Published: January 2024

Abstract
Objectives
To evaluate the diagnostic accuracy of Fused (MRI)–CBCT images in the assessment of internal derangement of the temporomandibular joint.

Methods
MRI and CBCT images of the TMJ were evaluated bilaterally in 10 patients with clinically diagnosed internal derangement. Image fusion was performed using Amira 3D Software (version 5.4.3, Thermo Fisher Scientific Inc.).

Results
The AUC index for MRI–CBCT fused images was 0.83, which was significantly different from the null hypothesis value of 0.5. This was confirmed by inter-examiner reliability index of 0.87, which is statistically significant.

Conclusion
MRI–CBCT fused images can significantly improve the accuracy and inter-examiner reliability in the evaluation of clinically diagnosed cases with internal derangement.
The analytic hierarchy process method to design applicable decision making for the effective removal of 2-MIB and geosmin in water sources
Authors: Ozgur Cihan 
Published: January 2024

AbstractNumerous utilities encounter issues with taste and odor that alter the public’s impression of the safety of drinking water. The creation of certain components in water naturally due to global climate change is another source of taste and odor components, in addition to industrial emissions. Geosmin and 2-methylisoborneol (2-MIB), both of which are generated by blue-green algae and actinomycetes, are two substances that contribute to the musty and earthy smells in drinking water sources. Unfortunately, current conventional treatment plants only partially remove 2-MIB and geosmin. Therefore, to protect the environment and public health, more up-to-date or optimized treatment methods should be applied to outdated treatment facilities. Best treatment practices, evaluation standards, and decision-making approaches, however, are still shrouded in mystery. The goal of this study was to identify the most effective treatment options for 2-MIB and geosmin. By using the analytical hierarchy process (AHP), a total of 22 assessment criteria were found and prioritized. A thorough literature search led to the identification of potential treatment options, and their effectiveness was evaluated. These options and priority rankings were decided upon using AHP in the decision-making process. Advanced oxidation techniques came out on top in the final priority ranking, followed by membrane filtering, adsorption, oxidation, hybrid processes, and traditional treatment methods. The applied analytical decision techniques may also be used to choose the optimal treatment options, even though the results are particular to 2-MIB and geosmin.