bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrasound‐Enabled Sonogenetics: Pioneering Advances in Cancer Theranostics
Authors: Zhang Beibei , Mo Lianfeng , Huang Rong , Chen Ge , Yang Siyi , Zhang Xu , Sang Mengmeng , Zhao Yingying , Li Zesheng , Li Ruifang , Zhang Lianzhong , Wang Yongchao 
Published: December 2024

AbstractThe diagnosis and treatment of cancer face significant challenges. Thus, precise and controllable methods for effective tumor management are required. Sonogenetics which combines ultrasound technology with genetic engineering provides a promising solution. This approach utilizes the non‐invasive nature and deep tissue penetration capabilities of ultrasound to enable precise diagnostics and targeted therapies for cancer. This review explores the roles of sonogenetics‐mediated technology in cancer theranostics. The fundamental properties of ultrasound and the mechanisms underlying sonogenetics are first introduced. Then, this work summarizes representative applications of sonogenetics in cancer therapy, including cell‐based therapies, bacteria‐based therapies, and targeted eradication of tumor cells. Additionally, the applications of sonogenetics in cancer diagnosis, focusing on engineered gas vesicles (GVs) and sonogenetics‐mediated in situ generation of GVs for diagnostic purposes are presented. Finally, the challenges and clinical translation potential of sonogenetics are well discussed.
Agricultural productivity fluctuations and structural transformation—Evidence from rural China
Authors: Wang Heer 
Published: December 2024

AbstractThis study explores how short‐term agricultural productivity fluctuations affect labor supply of Chinese rural households under the background of frequent extreme weather events. It reveals that extreme rainfall‐induced declines in agricultural productivity lead to decreased agricultural employment and increased non‐agricultural employment and migration. Additionally, there is a shift in workdays away from agriculture toward sectors such as manufacturing, construction, and transportation. The study estimates that labor reallocation can alleviate 32.56% of income losses caused by these productivity fluctuations. Overall, these findings underscore the vital role of labor reallocation in mitigating the economic impact of short‐term agricultural productivity declines.
Towards sustainable school food: An experiential planetary health framework integrating meals and food education
Authors: Sabet Fatma , Böhm Steffen 
Published: December 2024

AbstractThis study addresses the complex challenges of childhood obesity, food poverty and environmental degradation by developing a planetary health framework for school food in education. Drawing on Dewey's experiential learning philosophy, it adopts an integrative approach where school meals and food education converge. Rooted in the planetary health model, the research explores the interdependence of human and environmental health within the context of school food. Employing a convergent mixed‐methods approach, we conduct interviews, a web‐based survey and observations in English primary schools to explore multiple stakeholders' perspectives on sustainable school food. Findings underscore three defining characteristics of sustainable school food: reversion to scratch cooking, prioritising local and agroecological food procurement and promoting plant‐based meals. Findings stress the convergence of health and environmental sustainability within school food, highlighting the need for a planetary health approach to school food where meals and education are integrated into school food experiences. Experiential food education, such as cooking and farm visits, supports sustainable school meals provision and their use as a pedagogical tool, embedding sustainable food practices into pupils' everyday school experiences. The study underscores the role of ethical leadership in allocating scarce resources and empowering often marginalised stakeholders such as catering staff and local producers to mobilise school food partnerships. Such partnerships generate mutual benefits, such as supporting local agroecological food production and challenging the dominance of processed foods in school menus from large corporations.
Supportive but suspicious: Ideology, institutional trust, electoral participation and gender shape public opinion on citizenship education in the UK
Authors: Hecht Annika , Obradović Sandra , Andreouli Eleni 
Published: December 2024

AbstractCitizenship Education (CE) has been found to be an effective tool in preparing young people to participate actively in a democracy. However, recent years have seen a decline in both the quality and provision of CE, coupled with a notable absence of public input on the subject. This paper provides an initial exploration of the British public's views on citizenship education through an exploratory survey conducted with a nationally representative sample of 1003 individuals. The survey examined public perceptions of the current quality of CE, general support for the subject, and specific educational aims. Our findings indicate that while CE is generally regarded as important, its quality is perceived as lacking. Respondents highlighted critical thinking skills, as well as financial and digital literacy as the most crucial components of CE, whereas communitarian aspects of citizenship were deemed less significant. Additionally, the study found that ideology, demographic factors, and political attitudes significantly influence public views on CE. The paper concludes with a discussion of policy and research implications, emphasising the need to incorporate public perceptions in the design of citizenship education and suggesting ways that CE can be developed to support democratic engagement.
“You First Have to Check Out the Doctors”: Transition Expectations and Experiences of Survivors After Pediatric Cancer
Authors: Aleshchenko Ekaterina , Langer Thorsten , Calaminus Gabriele , Glogner Juliane , Haugke Henrike , Trocchi Pietro , Swart Enno , Baust Katja 
Published: December 2024

ABSTRACTPurposeThe shift from child‐centered to adult‐focused healthcare presents social and psychological challenges for adolescents and young adults with chronic conditions, which can affect their participation in follow‐up care. This study aims to investigate the factors that influence patient‐driven motivations for adhering to follow‐up recommendations, while also exploring the barriers and supports that impact the transition process for pediatric cancer survivors.MethodsWe developed interview guidelines grounded in the Theory of Planned Behavior (TPB) and the stereotype priming model (SPM). We conducted 10 episodic narrative interviews with pediatric cancer survivors during their transition phase. The interview transcripts were analyzed through qualitative thematic content analysis, followed by quantitative analysis using multiple regression models. This research is a part of the broader VersKiK study, which aims to propose enhancements to the organization of (long‐term) follow‐up care after cancer in childhood and adolescence in Germany.ResultsIn this study, pediatric cancer survivors transitioning to adult healthcare showed varied motivations for follow‐up care. Positive attitudes, driven by understanding the benefits, improved engagement, while anxiety and fear of losing familiar care created barriers. Family and peer support played a key role in encouraging adherence. Perceived control over healthcare management, supported by organizational help, was crucial, but logistical and financial challenges often undermined this control.ConclusionsSeveral motives underlying pediatric cancer survivors' behavior significantly influence their transition experiences. Enhancing positive attitudes, strengthening social support, and improving perceived control through targeted interventions may support smoother transitions to adult healthcare facilities.Trial Registration: Registered at German Clinical Trial Register (IDs: DRKS00025960 and DRKS00026092)
Mechanistic Study of Ethanol Decomposition on Co3O4(111) and Pd/Co3O4(111) Model Catalysts
Authors: Reindl Simone , Škvára Jan , Hauner Jonas , Simanenko Alexander , Kastenmeier Maximilian , Ronovský Michal , Skála Tomáš , Tsud Nataliya , Kettner Miroslav , Mehl Sascha , Vorochta Michael , Šmíd Břetislav , Retzer Tanja , Mysliveček Josef , Brummel Olaf , Johánek Viktor , Lykhach Yaroslava , Libuda Jörg 
Published: December 2024

AbstractIn many advanced catalytic materials, different functionalities are coupled through spillover of active species across heterogeneous interfaces. In the present work, we consider the coupling of a C─C bond cleavage functionality of palladium with the self‐cleaning functionality of reducible Co3O4. On the model catalyst Pd/Co3O4(111)/Ir(100), we probed the interplay of the two functionalities for the selective decomposition of ethanol. In a systematic study, we compared the decomposition mechanisms of ethanol on Co3O4(111)/Ir(100) and Pd/Co3O4(111)/Ir(100) model catalysts using a variety of analytical techniques including synchrotron radiation photoelectron spectroscopy (SRPES), resonant photoemission spectroscopy (RPES), temperature programmed desorption (TPD), and near ambient pressure X‐ray photoelectron spectroscopy (NAP‐XPS). We found that ethanol decomposes via an ethoxy intermediate yielding acetaldehyde on Co3O4(111)/Ir(100). Remarkably, the spillover of ethanol/ethoxy species on Pd/Co3O4(111)/Ir(100) results in the selective formation of methane, hydrogen, and CO. Additionally, we observed CO2 resulting from the oxidative removal of carbonaceous deposits on Pd nanoparticles via spillover of active oxygen species released by Co3O4(111)/Ir(100) at higher temperatures. The onset of product formation and the product spectrum on both Co3O4(111)/Ir(100) and Pd/Co3O4(111)/Ir(100) depend strongly on the oxidation state of Co3O4. Complete removal of lattice oxygen from Co3O4(111) results in the deposition of large amounts of carbon.
Isopeptidic Desferrioxamine Analogues: The Role of Hydroxamate Spacing for Chelation of Zr4+
Authors: Outzen Lasse , Ludolfs Darius , Irl Maximilian , Kossatz Susanne , Maison Wolfgang 
Published: December 2024

Abstract[89Zr]Zr4+ is a radionuclide of increasing clinical relevance for PET (positron emission tomography). However, an ideal chelator for stable Zr‐chelation remains to be discovered. This study describes the solid‐phase synthesis of octadentate Zr‐chelators based on an isopeptidic (ip) scaffold derived from the natural siderophore desferrioxamine (DFOB). Several analogues with different spacers separating the chelating hydroxamates have been prepared and converted to [89Zr]Zr‐complexes. The stability of these complexes was evaluated in human serum and in competition to excess of competing chelators. The assays revealed a beneficial effect of long hydroxamate spacing (9 atoms). Shorter spacing led to a decrease in complex stability. The most stable [89Zr]Zr‐ipDFO complex had a high stability in challenging competition experiments with a large excess of EDTA for 72 h as determined by radio TLC and LC/MS. The straightforward synthesis, high complex stability and a modular character make ipDFO derivatives promising chelators for applications in targeted PET.
A Scalable Delay‐Expanding Technique for Low‐Area On‐Chip Power‐On Reset Circuits
Authors: Mansoury Hamid Sadat , Saeedi Saeed , Atarodi Mojtaba 
Published: December 2024

ABSTRACTA scalable structure is presented and analyzed that can provide delays in a wide range (microseconds to minutes) for the power‐on reset circuit. The proposed structure enables the implementation of these delays entirely on‐chip through the utilization of a provisional oscillator and a set of flip‐flops. The optimal number of flip‐flops can be determined through an area optimization process. The proposed power‐on reset circuit thresholds demonstrate the process, voltage, temperature (PVT) tolerance, facilitated by the use of resistors of the same type. Notably, the thresholds and provided delay for this circuit are supply‐rise‐time independent. The structure has been implemented in a 0.18‐μm CMOS technology, occupying an active area of 48 × 40 μm2.
Pilot‐scale production of the low‐temperature NH3‐SCR catalyst with high industrial application prospects from natural zeolite and manganese oxide
Authors: Huang Wenfeng , Liu Tongyuan , Jin Dan , Yang Lin , Jiang Wenju 
Published: December 2024

AbstractIn this study, a low‐temperature NH3 selective catalytic reduction (NH3‐SCR) catalyst with great industrial applicability was produced on a pilot scale using natural zeolite as the carrier and natural manganese oxide as the active component. The effects of activation temperature and nitric acid dosage on the mechanical strength and NH3‐SCR performance were discussed. The results demonstrated that the catalyst CMZ‐10‐600, prepared at a calcination temperature of 600°C with a 10.0 wt % nitric acid dosage, exhibited the best NH3‐SCR performance while meeting the mechanical strength requirements for industrial applications. The NO conversion ranged from 93.8% to 100.0%, and the N2 selectivity varied between 78.0% and 100% at a gas hourly space velocity (GHSV) of 5000 h−1 within the reaction temperature range of 150–250°C. The prepared catalysts were characterized using the scanning electron microscopy, x‐ray powder diffraction, BET, NH3‐TPD, and x‐ray photoelectron spectroscopy (XPS), which elucidated the effects of the preparation method on the catalyst strength, physicochemical properties, and the NH3‐SCR performance of the catalysts. The research results proved that the catalysts produced by this process exhibit good mechanical strength and catalytic properties, coupled with low raw material costs and a simple preparation technique, highlighting a promising prospect for industrial application.
On the Detection of Structural Breaks: The Case of the Covid Shock
Authors: Hall Stephen G. , Tavlas George S. , Trapani Lorenzo , Wang Yongli 
Published: December 2024

ABSTRACTBoth the Federal Reserve (Fed) and the European Central Bank (ECB) have been criticized for not having perceived that the outbreak of Covid at the beginning of 2020 would lead to a structural change in inflation in the early 2020s. Both central banks viewed the initial inflation surge in 2021 as temporary and delayed monetary tightening until 2022. We argue that the existing literature on structural breaks could not have been useful to policymakers because it identifies the breaks in an arbitrary way. The tests used to identify breaks do not incorporate prior knowledge that a break may have occurred so that the tests have very little power to detect a break that occurs at the end of the sample. We show that, in the event of a major shock, such as Covid, using knowledge that a break may have occurred and testing for a break in a recursive way as new data become available could have alerted policymakers to the break in inflation. We conduct Monte Carlo simulations suggesting that our method would have identified that a break had occurred in inflation by the end of 2020, well before policymakers had perceived the break.
Applications Of Plasma Display Panels In Military C3I Systems Environments
Authors: Aitken Theodore B. , Primozich Frank 
Published: December 2024

AbstractThis paper describes some systems applications of plasma panel displays in military command, control, communication and intelligence (C3l) systems. The potential lethality and rapid pace of warfare on the modern battlefield make positive command and control of our armed forces more critical than ever. Highly mobile user‐friendly, automatic data processing systems must be able to survive extreme environments. The user is relatively unsophisticated, is unfamiliar with computer programming, and is required to both operate the system and provide maintenance under highly stressful conditions. The plasma display, used in conjunction with a state‐of‐the‐art microprocessor‐based automatic data processing system, hasa number of characteristics which make it particularly suitable as a man‐machine interface to be used in tactical C3I equipment in the modern army. Several factors must be taken into consideration in the design of plasma displays so that they will be able not only to withstand the severe tactical environment to which they are exposed, but also to provide a user‐friendly interface. Specific examples of tactical operational army systems utilizing plasma displays of various sizes are discussed.
Multimodal Ultrasound Imaging in the Diagnosis of Primary Giant Cell Tumor of the Breast: A Case Report and Literature Review
Authors: Chen Fei , Chen Yu‐Jia , Hu Yan‐Ze 
Published: December 2024

ABSTRACTGiant cell tumor of soft tissue (GCT‐ST) is an extremely rare phenomenon in the breast. Herein, a case involving a 75‐year‐old female with a painless lump and bloody discharge from the nipple of her left breast is reported. A diagnosis of malignant tumor was arrived at by observing the location of the tumor, interior echo, margins, vascular distribution, hardness, and microvascular density on preoperative multimodal ultrasonography. However, no evidence of malignancy was found on ultrasonography‐guided nuclear needle biopsy or rapid intraoperative pathological examination. Subsequently, an excisional biopsy was performed, and GCT‐ST coincident with high‐grade ductal carcinoma in situ were confirmed using histopathology and immunohistochemistry. Accordingly, the patient underwent left‐sided mastectomy and sentinel lymph node biopsy. This case emphasizes the complexity of the clinical and pathological diagnosis of GCT‐ST in the breast and may raise the awareness of clinicians and sonographers to the advantages of multimodal ultrasound imaging in the diagnosis of GCT‐ST in the breast. Pathologists should consider the possibility of GCT‐ST when encountering a giant cell‐rich mass in the breast.
Optimizing dental students’ use of feedback: Validation of a theoretical model
Authors: Sallam Aziza A. , Abdulmohsen Bana , Ellis Janice 
Published: December 2024

AbstractPurposeA model describing the factors that influence the use of feedback by dental students from three UK dental schools has been proposed. Seven factors that influence feedback utilization were identified. This project aims to test the validity of this model in a larger student population from two UK dental schools in Newcastle upon Tyne and Cardiff.MethodsAn electronic questionnaire was created and circulated to two dental schools. Data from schools were combined and analyzed using SPSS software. A total of 304 responses were analyzed using principal component analysis resulting in the extraction of nine components which were identified as “most important.” The Kruskal–Wallis test was used to analyze the correlations of these components with the demographic characteristics of participants.ResultsThe nine components were feedback utility, feedback value, credibility, learning approach, the learner's understanding of the feedback's purpose, and its processes, accessibility, future applicability, and institutional processes. According to the Kruskal–Wallis analysis, seven of the components (but not credibility or institutional processes) were found to be influenced by differences in the gender, nationality, and ethnicity of students as well as their previous educational experience. However, no evidence was found that variables such as age, student year group, or religious beliefs affected any of these components.ConclusionSome demographic characteristics are more engaged with one or more components than others. Understanding that will help optimizing this model and ultimately benefits students and institutions. The main project's goal was met by the research in validating the previously developed model.
Liquid Chromatography Column Screening for the Analysis of Corrosion Inhibitor Molecules Using Derringer Desirability Functions
Authors: Furno L. , Combès A. , Thiébaut D. , Méré A. , Passade‐Boupat N. , Vial J. 
Published: December 2024

ABSTRACTCorrosion inhibitors (CIs) are extensively employed in the oil and gas industry, yet their analysis remains a challenge. To develop a suitable liquid chromatography method for a wide array of CIs, a column screening was conducted. Nine different chromatographic conditions were tested across eight RPLC and mixed‐mode columns (Accucore C18, CORTECS Shield RP18, Acquity HSS T3, Acquity Premier HSS T3, Accucore 150‐C4, Accucore PFP, Synergi Polar RP, and Acclaim WCX‐1). Seven model mixtures representative of CIs, which included quaternary ammoniums, imidazolines, and phosphoric esters, were considered to probe the columns. Each column exhibited unique analytical performances, peak shape, and separation profiles. To find a compromise to analyze all the mixtures with one method, Derringer desirability functions were used. Shielding of residual silanols proved to be a critical factor. The trifunctional grafting of the Acquity HSS T3 columns appeared to be a promising strategy to minimize residual silanol effects. However, it was the Premier technology, which protects the column's inner walls and frits against parasitic adsorption, which delivered the best overall results. Based on the desirability study, the Acquity Premier HSS T3 column was selected and the gradient was optimized, which enabled the separation of the molecules present in the model mixtures.
Automatic plan selection using deep network—A prostate study
Authors: Chatigny Philippe Y. , Bélanger Cédric , Poulin Éric , Beaulieu Luc 
Published: December 2024

AbstractBackgroundRecently, high‐dose‐rate (HDR) brachytherapy treatment plans generation was improved with the development of multicriteria optimization (MCO) algorithms that can generate thousands of pareto optimal plans within seconds. This brings a shift, from the objective of generating an acceptable plan to choosing the best plans out of thousands.PurposeIn order to choose the best plans, new criteria beyond usual dosimetrics volumes histogram (DVH) metrics are introduced and a deep learning (DL) framework is added as an automatic plan selection algorithm.MethodsThe new criteria are visual‐like criteria implemented for the bladder, rectum, and urethra. One criterion also takes into account the cold spot in the prostate. Those criteria, along with commonly used DVH criteria, are used to form classes on which to train the algorithm. The algorithm is trained with an input of two 3D images, dose and mask of the anatomy, in order to rank and automatically select a plan. The confidence in the output is used for ranking and the automatic plan selection. The algorithm is trained on 835 previously treated prostate cancer patients and evaluated on a separated 20 patients cohort previously evaluated by two experts (clinical medical physicists) in an inter‐observer MCO study.ResultsThe deep network takes 10 s to rank 2000 plans (vs. 5–10 min for experts to rank 4 preferred plans). A total of four different networks are trained which offer different trade‐offs. The key trade‐offs are the target coverage or the organs at risk (OAR) sparing. The algorithm with the best network achieves no statistical difference with the plans chosen by the two experts for 6 and 9 criteria, respectively, out of 13 criteria (paired t‐test with p 0.05) while the two experts have no statistical difference between them for 7 criteria.ConclusionsThe developed approach is flexible since it allows the modification or addition of criteria to obtain different trade‐offs in plan quality, per the institution standard. The approach is fast and robust while adding negligible time to MCO planning. These results demonstrate potential for clinical use.