bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dependence
Authors: Kaebnick Gregory E. 
Published: November 2023

AbstractThe Hastings Center Report's September‐October 2023 issue is about relying on others—on loved ones, clinicians, scientists, and institutions. The lead article explores how loving relationships support and reshape the agency of people who have dementia. Authors Eran Klein and Sara Goering argue that the understanding of agency as a shared, relational capacity has implications for the development of treatments for dementia, the role of caregivers, and the structuring of patients’ environments. In the second article, Anthony Wrigley and colleagues examine whether providers of assisted reproductive technologies market “add‐on” interventions by inappropriately exploiting their patients’ profound hope for a baby. Published with this issue of HCR is a special report, guest edited by health policy scholar Lauren A. Taylor and colleagues, on the need to rebuild public trust in science and health care.
Hope and Exploitation in Commercial Provision of Assisted Reproductive Technologies
Authors: Wrigley Anthony , Watts Gabriel , Lipworth Wendy , Newson Ainsley J. 
Published: November 2023

AbstractInnovation is a key driver of care provision in assisted reproductive technologies (ART). ART providers offer a range of add‐on interventions, aiming to augment standard in vitro fertilization protocols and improve the chances of a live birth. Particularly in the context of commercial provision, an ever‐increasing array of add‐ons are marketed to ART patients, even when evidence to support them is equivocal. A defining feature of ART is hope—hope that a cycle will lead to a baby or that another test or intervention will make a difference. Yet such hope also leaves ART patients vulnerable in a variety of ways. This article argues that previous attempts to safeguard ART patients have neglected how the use of add‐ons in commercial ART can exploit patients’ hopes. Commercial providers of ART should provide add‐ons only free of charge, under a suitable research protocol.
The Sociotechnical Construction of Distrust during the Covid‐19 Pandemic
Authors: Fleischmann Kenneth R. 
Published: November 2023

AbstractWhat were the impacts of the Covid‐19 pandemic on trust in public health information, and what can be done to rebuild trust in public health authorities? This essay synthesizes insights from science and technology studies, information studies, and bioethics to explore sociotechnical factors that may have contributed to the breakdown of trust in public health information during the Covid‐19 pandemic. The field of science and technology studies lays out the dynamic nature of facts, helping to explain rapid shifts in public health messaging during Covid‐19 and reasons they produced a lack of trust in public health authorities. The information field looks at how facts are sociotechnically constructed through systems of classification, illustrating how extrascientific factors influence public health authorities. Putting these perspectives alongside bioethics principles raises additional factors to consider. The goal of this essay is to learn from past failures to point toward a brighter future where trust in public health authorities can be rebuilt, not on faith, but rather through striving for calibrated trust within which, through a virtuous circle, trust is validated.
Demonstrating Trustworthiness to Patients in Data‐Driven Health Care
Authors: Nong Paige 
Published: November 2023

AbstractPatient data is used to drive an ecosystem of advanced digital tools in health care, like predictive models or artificial intelligence‐based decision support. Patients themselves, however, receive little information about these technologies or how they affect their care. This raises important questions about patient trust and continued engagement in a health care system that extracts their data but does not treat them as key stakeholders. This essay explores these tensions and provides steps forward for health systems as they design advanced health information‐technology (IT) policies and practices. It centers patients, their concerns, and the ways they perceive trustworthiness to reframe advanced health IT in service of patient interests.
Physician Perspectives on Building Trust with Patients
Authors: Greene Jessica , Wolfson Daniel 
Published: November 2023

AbstractPrior research has documented how important it is to patients to be able to trust their physicians. In this essay, we introduce physician perspectives on the importance of earning patients’ trust. We conducted twelve semistructured interviews in late 2022, eleven with physicians and one with a patient‐experience expert. Physicians described earning patients’ trust as crucial for working effectively with patients, with several saying that it was as important as having medical knowledge. Physicians also expressed that feeling a patient trusting them is professionally rewarding and fulfilling. To build trust with patients, physicians reported, they make the medical interaction all about the patient, express their belief in their patients, share their personal experiences, and use other strategies identified in previous literature: communicating effectively, being compassionate, and demonstrating competence. Physicians also reported experiencing challenges in building trust with patients, most often because of patients’ lack of trust in other levels of the health care system and because of having inadequate time to spend with patients. Additionally, Black and Brown physicians described how patients’ bias often blocks trust.
Risk factors associated with prognosis of patients with medication‐related osteonecrosis of the jaw
Authors: Tadokoro Yoshiaki , Hasegawa Takumi , Takeda Daisuke , Murakami Aki , Yatagai Nanae , Arimoro Satomi , Iwata Eiji , Saito Izumi , Kusumoto Junya , Akashi Masaya 
Published: November 2023

AbstractObjectivesMedication‐related osteonecrosis of the jaw (MRONJ) is a severe adverse effect of antiresorptive and/or antiangiogenic agents. As the treatment application for MRONJ is controversial, we aimed to identify the risk factors for poor prognosis and to help determine appropriate management.MethodsThis study included 119 patients. Relevant clinical data were obtained for all the patients. In computed tomography images, osteosclerosis, osteolysis, cortical perforation (buccal or lingual), periosteal reaction, and sequestration were evaluated.ResultsMultivariate analyses showed statistically significant associations between poor prognosis in patients with MRONJ and conservative treatment alone (hazard ratio [HR] 1.89), osteolysis (HR 4.67), and the absence of sequestration (HR 5.33).ConclusionsConservative treatment alone without clear objectives needs to be avoided, and osteolytic change could be the criteria for surgical intervention. As the boundary between the lesion and vital bone is indistinct, we recommend extensive surgery in cases with unpredictable sequestration.
STEM Structural Investigation of RE‐Au‐Si 1/1 Approximants
Authors: Bajoun Mbajoun Wilfried , Sršan Vinko , Huang Yu‐Chin. , Gebresenbut Girma Hailu , Pay Gómez Cesar , Migot‐Choux Sylvie , Ghanbaja Jaafar , Šturm Sašo , Fournée Vincent , Ledieu Julian 
Published: November 2023

AbstractRE‐Au‐Si (RE=Ho, Tb) systems are 1/1 Tsai‐type quasicrystalline approximants with a cluster center decoration that can vary from a disordered tetrahedron to a rare‐earth atom. The local atomic structure of three different samples was observed by scanning transmission electron microscopy and interpreted in the light of high‐angle annular dark field simulated scanning transmission electron microscopy images. It is found that the combination of these two methods allows to identify differences in the chemical decoration of the cluster centers through quantitative analysis of line profiles.
Banks, financial markets, and income inequality
Authors: Makhlouf Yousef , Kellard Neil M. , Vinogradov Dmitri V. 
Published: November 2023

AbstractWhile financial development is often found to raise income inequality, it remains unclear whether the composition of the financial system makes a difference. In our sample of 99 countries over the period 1975–2020, increased activity of banks relative to markets in the provision of financial services is robustly associated with less inequality in the developing world yet with more inequality in developed economies. Accounting for redistribution systems does not alter this finding; banking sector concentration amplifies the effects. Results suggest that banks work at the extensive margin at earlier stages of economic development yet shift to the intensive margin at higher levels of development, where they increasingly serve the interests of the rich. Higher market power enables banks to better pursue their objectives at each of the margins.
Advances in advanced solution‐synthesis‐based structural materials for tactile sensors and their intelligent applications
Authors: Niu Hongsen , Li Ning , Kim Eun‐Seoung , Shin Young Kee , Kim Nam‐Young , Shen Guozhen , Li Yang 
Published: November 2023

AbstractIntelligent applications, with tactile sensors at their core, represent significant advancement in the field of artificial intelligence. However, achieving perception abilities in tactile sensors that match or exceed human skin remains a formidable challenge. Consequently, the design and implementation of hierarchical structural materials are considered the optimal solution to this challenge. In contrast to conventional methods, such as complicated lithography and three‐dimensional printing, the cost‐effective and scalable nature of advanced solution‐synthesis methods makes them ideal for preparing diverse tactile sensors with hierarchical structural materials. However, the process and applicability of advanced solution synthesis methods have yet to form a seamless system. Accordingly, the development and intellectualization of tactile sensors based on advanced solution synthesis methods are still in their early stages, and require a comprehensive and systematic review to usher in progress. This study delves into the advantages and disadvantages of various advanced solution synthesis methods, providing detailed insights. Furthermore, the positive effects of hierarchical structural materials constructed using these methods in tactile sensors and their intelligent applications are also discussed in depth. Finally, the challenges and future opportunities faced by this emerging field are summarized.image
Enhancement of adeno‐associated virus serotype 6 transduction into T cells with cell‐penetrating peptides
Authors: Moço Pablo D. , Dash Shantoshini , Kamen Amine A. 
Published: November 2023

AbstractBackgroundAdeno‐associated viruses (AAVs) are gaining interest in the development of cellular immunotherapy. Compared to other viral vectors, AAVs can reduce the risk of insertional oncogenesis. AAV serotype 6 (AAV6) shows the highest efficiency for transducing T cells. Nevertheless, a multiplicity of infection (MOI) of up to one million viral genomes per cell is required to transduce the target cells effectively. Cell‐penetrating peptides (CPPs) are short, positively charged peptides that easily translocate the plasma membranes and can facilitate the cellular uptake of a wide variety of cargoes, including small molecules, nucleic acids, drugs, proteins and viral vectors.MethodsThe present study evaluated five CPPs (Antp, TAT‐HA2, LAH4, TAT1 and TAT2) on their effects on enhancing transduction of AAV6 packaging a green fluorescent protein transgene into Jurkat T cell line.ResultsVector incubation with peptides TAT‐HA2 and LAH4 at a final concentration of 0.2 mm resulted in an approximately two‐fold increase in transduced cells. At the lowest MOI tested (1.25 × 104), using LAH4 resulted in a 10‐fold increase in transduction efficiency. The peptide LAH4 increased the uptake of AAV6 viral particles in both Jurkat cells and mouse primary T cells. Regardless of the large size of the AAV6‐LAH4 complexes, their internalization does not appear to depend on macropinocytosis.ConclusionsOverall, the present study reports an approach to significantly improve the delivery of transgenes into T cells using AAV6 vectors. Notably, the peptides TAT‐HA2 and LAH4 contribute to improving the use of AAV6 as a gene delivery vector for the engineering of T cells.
Retrogradation‐induced physicochemical changes in pre‐cooked rice noodles stored at different temperatures: a viewpoint from water dynamics and structure
Authors: Jeong Sungmin , Lee Suyong 
Published: November 2023

AbstractBACKGROUNDThere has been significant interest in pre‐cooked noodles that have a long shelf life and are convenient to cook. However, the thermal processes during preparation, and their high moisture content, can lead to significant quality deterioration during storage. Nevertheless, a comprehensive evaluation of these quality losses has not yet been conducted.RESULTSThe effects of different storage temperatures (25, 4, and −20 °C) on the retrogradation‐related physicochemical changes in pre‐cooked rice noodles were elucidated mainly from the water dynamics and structural viewpoints. Thermal analysis demonstrated that amylopectin recrystallization took place in the noodles stored at refrigerated temperature, followed by room temperature. The refrigerated storage accelerated the starch retrogradation that caused the water molecules to become entrapped within the crystalline structure by lowering the water hydration properties and weighted T2 relaxation times of the pre‐cooked noodles. These water mobility patterns were correlated with the textural changes in the noodles (greater hardness and Rmax/extensibility). Furthermore, the higher structural density and thickness derived from starch retrogradation were observed in the tomographic and microscopic images of the refrigerated noodles. The principal component analysis demonstrated that various physicochemical changes of the pre‐cooked noodles during storage showed high correlations with the degree of starch retrogradation (r > 0.83).CONCLUSIONThe physicochemical features of the precooked noodles stored under refrigerated conditions were involved in the molecular dynamics of water, showing a notable water mobility reduction derived from the starch retrogradation, which contributed to their thermal, tomographical, and textural changes. © 2023 Society of Chemical Industry.
The network structure of psychopathological and resilient responses to the pandemic: A multicountry general population study of depression and anxiety
Authors: Contreras Alba , Butter Sarah , Granziol Umberto , Panzeri Anna , Peinado Vanesa , Trucharte Almudena , Zavlis Orestis , Valiente Carmen , Vázquez Carmelo , Murphy Jamie , Bertamini Marco , Shevlin Mark , Hartman Todd K. , Bruno Giovanni , Mignemi Giuseppe , Spoto Andrea , Vidotto Giulio , Bentall Richard P. 
Published: November 2023

AbstractCommonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID‐19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p = .031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p = .016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress.
A 3D Analysis of Plating Strategies in Mandibular Reconstruction: A Randomized Control Pilot Study
Authors: Chen Tanya , Chan Harley H. L. , de Almeida John , Goldstein David P. , Gilbert Ralph W. , Yao Christopher M. K. L. , Irish Jonathan C. , Davies Joel C. 
Published: November 2023

Objective(s)The purpose of this study was to compare computer‐assisted mandibular plating to conventional plating using quantitative metrics.MethodsPatients scheduled to undergo mandibular reconstruction were randomized to three‐dimensional modelling for preoperative plate bending or intraoperative freehand bending. Preoperative and postoperative head and neck computed tomography scans were obtained to generate computer models of the reconstruction. The overall plate surface contact area, mean plate‐to‐bone distance, degree of conformance, and position of the condylar head within the glenoid fossa between pre‐ and post‐operative scans were calculated.ResultsTwenty patients were included with a mean age of 57.8 years (standard deviation [SD] = 13.6). The mean follow‐up time was 9.8 months (range = 1.6–22.3). Reconstruction was performed with fibular (25%) or scapular free flaps (75%). The percentage of surface contact between the reconstructive plate and mandible was improved with three‐dimensional models compared to freehand bending (93.9 ± 7.7% vs. 78.0 ± 19.9%, p = 0.04). There was improved overall plate‐to‐bone distance (3D model: 0.7 ± 0.31 mm vs. conventional: 1.3 ± 0.8 mm, p = 0.06). Total intraoperative time was non‐significantly decreased with the use of a model (3D model: 726.5 ± 89.1 min vs. conventional: 757.3 ± 84.1 min, p = 0.44). There were no differences in condylar head position or postoperative complications.ConclusionComputer‐assisted mandibular plating can be used to improve the accuracy of plate contouring.Level of Evidence2 Laryngoscope, 134:2182–2186, 2024
Retraction: A Photoclick Thiol‐Ene Collagen‐Based Hydrogel Platform for Skeletal Muscle Tissue Engineering
Authors: Holmes Roisin , Yang Xuebin B. , Wood David J. , Tronci Giuseppe 
Published: November 2023

AbstractMacromol. Mater. Eng. 2023, 308, 2300029DOI: 10.1002/mame.202300029The above article, published online on April 18, 2023, in Wiley Online Library (https://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor‐in‐Chief, David Huesmann, the authors, and Wiley‐VCH GmbH. The retraction has been agreed on following concerns raised by third parties regarding Figures 8 and 9. Further investigation conducted by the journal concluded that elements of the figures in question were duplicated, affecting the interpretation of the associated data and related results. This issue was acknowledged by the authors, who were unable to access and provide the original data. Thus, this article was retracted based on the consequent uncertainty on parts of its conclusions. R.H. was not available to comment on the missing original data and approve the retraction.
Improving prediction of mountain snowfall in the southwestern United States using machine learning methods
Authors: Hoopes Charles Andrew , Castro Christopher L. , Behrangi Ali , Ehsani Mohammed Reza , Broxton Patrick 
Published: November 2023

AbstractSnowfall forecasting has historically been an area of difficulty for operational meteorologists, particularly in regions of complex terrain, such as the western United States. Attempts at improving forecasts have been made, but skill is still poor, with snowfall routinely overpredicted. A major reason for this overprediction has been the failure to accurately predict snow–liquid ratios (SLR) ahead of major events. This research proposes, develops, and tests multiple machine learning methods for dynamic SLR prediction for the Sky Islands of southeast Arizona by objectively comparing a multiple linear regression (MLR) against several more complex and flexible machine learning methods. Input parameters for each method were chosen based on variables found by previous studies to have a regression‐based relationship with SLR, with a focus on the lower mid‐levels of the troposphere. These parameters were also used to construct the MLR model, and its performance was compared objectively with the machine learning methods. When tested on historical events, a very high percentage of the network‐predicted SLR values fall within the margin of error of observed SLRs, which were calculated using gridded snow depth and snow water equivalent (SWE) data from the University of Arizona daily 4‐km SWE, SD, and SCE dataset (UASnow). A support vector machine (SVM), a k‐nearest neighbor (KNN) algorithm, and a random forest also showed high accuracies when tested on the dataset, and each showed a significant gain in skill compared with the MLR model, with skill being evaluated by multiple metrics.
Dosiomics and radiomics improve the prediction of post‐radiotherapy neutrophil‐lymphocyte ratio in locally advanced non‐small cell lung cancer
Authors: Hou Runping , Xia Wuyan , Zhang Chenchen , Shao Yan , Zhu Xueru , Feng Wen , Zhang Qin , Yu Wen , Fu Xiaolong , Zhao Jun 
Published: November 2023

AbstractPurposeTo develop and validate a dosiomics and radiomics model based on three‐dimensional (3D) dose distribution map and computed tomography (CT) images for the prediction of the post‐radiotherapy (post‐RT) neutrophil‐to‐lymphocyte ratio (NLR).MethodsThis work retrospectively collected 242 locally advanced non‐small cell lung cancer (LA‐NSCLC) patients who were treated with definitive radiotherapy from 2012 to 2016. The NLR collected one month after the completion of RT was defined as the primary outcome. Clinical characteristics and two‐dimensional dosimetric factors calculated from the dose‐volume histogram (DVH) were included. A total of 4165 dosiomics and radiomics features were extracted from the 3D dose maps and CT images within five different anatomical regions of interest (ROIs), respectively. Then, a three‐step feature selection method was proposed to progressively filter features from coarse to fine: (i) model‐based ranking according to individual feature's performance, (ii) maximum relevance and minimum redundancy (mRMR), (iii) select from model based on feature importance calculated with an ensemble of several decision trees. The selected feature subsets were utilized to develop the prediction model with GBDT. All patients were divided into a development set and an independent testing set (2:1). Five‐fold cross‐validation was applied to the development set for both feature selection and model training procedure. Finally, a fusion model combining dosiomics, radiomics and clinical features was constructed to further improve the prediction results. The area under receiver operating characteristic curve (ROC) were used to evaluate the model performance.ResultsThe clinical‐based and DVH‐based models showed limited predictive power with AUCs of 0.632 (95% CI: 0.490‐0.773) and 0.634 (95% CI: 0.497‐0.771), respectively, in the independent testing set. The 9 feature‐based dosiomics and 3 feature‐based radiomics models showed improved AUCs of 0.738 (95% CI: 0.628‐0.849) and 0.689 (95% CI: 0.566‐0.813), respectively. The dosiomics & radiomics & clinical fusion model further improved the model's generalization ability with an AUC of 0.765 (95% CI: 0.656‐0.874).ConclusionsDosiomics and radiomics can benefit the prediction of post‐RT NLR of LA‐NSCLC patients. This can provide a reference for evaluating radiotherapy‐related inflammation.