bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diet and Survival in Black Women With Epithelial Ovarian Cancer
Authors: Armidie Tsion A. , Bandera Elisa V. , Johnson Courtney E. , Peres Lauren C. , Haller Kristin , Terry Paul , Akonde Maxwell , Peters Edward S. , Cote Michele L. , Hastert Theresa A. , Collin Lindsay J. , Epstein Michael , Marks Jeffrey , Bondy Melissa , Lawson Andrew B. , Alberg Anthony J. , Schildkraut Joellen M. , Qin Bo 
Published: October 2024

ImportanceOvarian cancer survival among Black women is the lowest across all racial and ethnic groups. Poor dietary quality also disproportionately affects Black populations, but its association with ovarian cancer survival in this population remains largely unknown.ObjectiveTo examine associations between dietary patterns and survival among Black women diagnosed with epithelial ovarian cancer (EOC).Design, Setting, and ParticipantsThis prospective cohort study was conducted among self-identified Black women aged 20 to 79 years newly diagnosed with histologically confirmed EOC in the African American Cancer Epidemiology Study (AACES) between December 2010 and December 2015, with follow-up until October 2022. AACES is a population-based study of ovarian cancer risk and survival among Black women in 11 US regions. Data were analyzed from March 2023 to June 2024.ExposuresDietary patterns were assessed by the Healthy Eating Index-2020 (HEI-2020) and Alternative Healthy Eating Index-2010 (AHEI-2010), with scores calculated based on dietary intake in the year prior to diagnosis and collected via the validated Block 2005 Food Frequency Questionnaire. Higher scores indicate better dietary quality.Main outcomes and measuresHazard ratios (HRs) and 95% CIs were estimated from multivariable Cox models for the association between adherence to dietary recommendations and overall mortality among all participants and those with high-grade serous ovarian cancer (HGSOC).ResultsAmong 483 Black women with EOC (mean [SD] age, 58.1 [10.5] years), 310 deaths were recorded during a median (IQR) follow-up of 4.3 (2.0-8.2) years. No association of dietary patterns with mortality was found among women with EOC overall. However, among 325 women with HGSOC, better adherence to HEI-2020 was associated with decreased mortality in later quartiles compared with the first quartile (HR, 0.63; 95% CI, 0.44-0.92 for quartile 2; HR, 0.67; 95% CI, 0.46-0.97 for quartile 3; HR, 0.63; 95% CI, 0.44-0.91 for quartile 4 ). Similar results were observed with AHEI-2010 among women with HGSOC for the second (HR, 0.62; 95% CI, 0.43-0.89) and fourth (HR, 0.67; 95% CI, 0.45-0.98) quartiles compared with quartile 1.Conclusions and relevanceIn this study, women with moderate and high prediagnosis dietary quality had significantly lower mortality rates from HGSOC compared with women with the lowest prediagnosis dietary quality. These findings suggest that even moderate adherence to dietary guidelines prior to diagnosis may be associated with improved survival among Black women with HGSOC, the most lethal form of ovarian cancer.
Prevalence of Glaucoma Among US Adults in 2022
Authors: Ehrlich Joshua R. , Burke-Conte Zeb , Wittenborn John S. , Saaddine Jinan , Omura John D. , Friedman David S. , Flaxman Abraham D. , Rein David B. 
Published: October 2024

ImportanceGlaucoma is the leading cause of irreversible blindness worldwide and, in the US, disproportionately affects people from racial and ethnic minority groups. Glaucoma prevalence has not been estimated for the US in more than a decade, and state- and county-level estimates are not available.ObjectiveTo estimate glaucoma and vision-affecting glaucoma prevalence by demographic factors and US state and county for the Centers for Disease Control and Prevention’s Vision and Eye Health Surveillance System (VEHSS).Data SourcesThis meta-analysis used data from the National Health and Nutrition Examination Survey (2005-2008), Medicare fee-for-service claims (2019), IBM MarketScan commercial insurance claims (2016), population-based studies of eye disease (1985-2003), and 2022 population estimates from the US Census Bureau.Study SelectionPubMed was searched for population-based studies of glaucoma prevalence published between 1991 and 2016.Data Extraction and SynthesisBayesian meta-regression methods were used to estimate the prevalence of glaucoma and vision-affecting glaucoma stratified by age, undifferentiated sex/gender (a measure that captures an unclear mix of aspects of sex and or gender), race and ethnicity, and US county and state.Main Outcomes and MeasuresPrevalence of any type of glaucoma (open or closed angle) among people 18 years or older and vision-affecting glaucoma, defined as glaucoma and a visual field abnormality.ResultsFor 2022, an estimated 4.22 million people (95% uncertainty interval [UI], 3.46 million to 5.23 million) in the US were living with glaucoma, with a prevalence of 1.62% (UI, 1.33%-2.00%) among people 18 years or older and 2.56% (UI, 2.10%-3.16%) among people 40 years or older. An estimated 1.49 million people (UI, 1.17 million to 1.90 million) were living with vision-affecting glaucoma, with a prevalence of 0.57% (UI, 0.45%-0.73%) among people 18 years or older and 0.91% (UI, 0.71%-1.16%) among people 40 years or older. Prevalence of glaucoma among people 18 years or older ranged from 1.11% (UI, 0.89%-1.40%) in Utah to 1.95% (UI, 1.57%-2.39%) in Mississippi. Black adults had a prevalence of 3.15% (UI, 2.32%-4.09%) compared with 1.42% (UI, 1.10%-1.85%) among White adults; adults in the Hispanic and all other racial and ethnic categories combined had a prevalence of 1.56% (UI, 1.13%-2.06%).Conclusions and RelevanceThis meta-analysis found that an estimated 2.56% of people 40 years or older have glaucoma, slightly more than estimated by previous studies. Black individuals are disproportionately affected. Prevalence estimates at the state and county level can help guide public health planning.
Framework to enable and test conversational assistant for APIs and RPAs
Authors: Bandlamudi Jayachandu , Mukherjee Kushal , Agarwal Prerna , Chaudhuri Ritwik , Pimplikar Rakesh , Dechu Sampath , Straley Alex , Ponniah Anbumunee , Sindhgatta Renuka 
Published: October 2024

AbstractIn the realm of business automation, conversational assistants are emerging as the primary method for making automation software accessible to users in various business sectors. Access to automation primarily occurs through application programming interface (APIs) and robotic process automation (RPAs). To effectively convert APIs and RPAs into chatbots on a larger scale, it is crucial to establish an automated process for generating data and training models that can recognize user intentions, identify questions for conversational slot filling, and provide recommendations for subsequent actions. In this paper, we present a technique for enhancing and generating natural language conversational artifacts from API specifications using large language models (LLMs). The goal is to utilize LLMs in the “build” phase to assist humans in creating skills for digital assistants. As a result, the system does not need to rely on LLMs during conversations with business users, leading to efficient deployment. Along with enabling digital assistants, our system employs LLMs as proxies to simulate human interaction and automatically evaluate the digital assistant's performance. Experimental results highlight the effectiveness of our proposed approach. Our system is deployed in the IBM Watson Orchestrate product for general availability.
Data‐efficient graph learning: Problems, progress, and prospects
Authors: Ding Kaize , Liu Yixin , Zhang Chuxu , Wang Jianling 
Published: October 2024

AbstractGraph‐structured data, ranging from social networks to financial transaction networks, from citation networks to gene regulatory networks, have been widely used for modeling a myriad of real‐world systems. As a prevailing model architecture to model graph‐structured data, graph neural networks (GNNs) have drawn much attention in both academic and industrial communities in the past decades. Despite their success in different graph learning tasks, existing methods usually rely on learning from “big” data, requiring a large amount of labeled data for model training. However, it is common that real‐world graphs are associated with “small” labeled data as data annotation and labeling on graphs is always time and resource‐consuming. Therefore, it is imperative to investigate graph machine learning (graph ML) with low‐cost human supervision for low‐resource settings where limited or even no labeled data is available. This paper investigates a new research field—data‐efficient graph learning, which aims to push forward the performance boundary of graph ML models with different kinds of low‐cost supervision signals. Specifically, we outline the fundamental research problems, review the current progress, and discuss the future prospects of data‐efficient graph learning, aiming to illuminate the path for subsequent research in this field.
A survey of out‐of‐distribution generalization for graph machine learning from a causal view
Authors: Ma Jing 
Published: October 2024

AbstractGraph machine learning (GML) has been successfully applied across a wide range of tasks. Nonetheless, GML faces significant challenges in generalizing over out‐of‐distribution (OOD) data, which raises concerns about its wider applicability. Recent advancements have underscored the crucial role of causality‐driven approaches in overcoming these generalization challenges. Distinct from traditional GML methods that primarily rely on statistical dependencies, causality‐focused strategies delve into the underlying causal mechanisms of data generation and model prediction, thus significantly improving the generalization of GML across different environments. This paper offers a thorough review of recent progress in causality‐involved GML generalization. We elucidate the fundamental concepts of employing causality to enhance graph model generalization and categorize the various approaches, providing detailed descriptions of their methodologies and the connections among them. Furthermore, we explore the incorporation of causality in other related important areas of trustworthy GML, such as explanation, fairness, and robustness. Concluding with a discussion on potential future research directions, this review seeks to articulate the continuing development and future potential of causality in enhancing the trustworthiness of GML.
Impact of Season, Environmental Temperature, and Humidity on Raynaud Phenomenon in an Australian Systemic Sclerosis Cohort
Authors: Taylor Laura , Hansen Dylan , Morrisroe Kathleen , Fairley Jessica , Calderone Alicia , Oon Shereen , Ross Laura , Stevens Wendy , Ferdowsi Nava , Quinlivan Alannah , Sahhar Joanne , Ngian Gene‐Siew , Apostolopoulos Diane , Host Lauren V. , Walker Jennifer , Tabesh Maryam , Proudman Susanna , Nikpour Mandana 
Published: October 2024

ObjectiveThe aim of this study was to determine the impact of season, temperature and humidity on the severity of Raynaud phenomenon (RP) in systemic sclerosis.MethodsData from the Australian Scleroderma Cohort Study were used to assess associations of patient‐reported worsened RP in the month preceding each study visit. Mean monthly weather data were obtained from the closest weather station to the patient's address. We evaluated the relationship between worsened RP and health‐related quality of life (HRQoL) measured using the Short Form 36 instrument.ResultsAmong 1,972 patients with systemic sclerosis, RP was a near‐universal finding, and worsened RP in the preceding month was reported in 26.7% of 9,175 visits. “Worsened RP” showed significant environmental variability. On multivariable analysis, worsened RP was associated with low mean maximum temperatures (odds ratio [OR] 0.91, 95% confidence interval [95% CI] 0.90–0.92, P < 0.001), high relative humidity (OR 1.05, 95% CI 1.04–1.05, P < 0.001) and lower mean daily evaporation (OR 0.77, 95% CI 0.73–0.81, P < 0.001). Worsened RP was strongly associated with telangiectasia, calcinosis, and digital ulceration, as well as demonstrating an association with anticentromere antibody and gastroesophageal reflux disease and a negative correlation with diffuse disease. Worsened RP was also strongly associated with worse HRQoL.ConclusionLower environmental temperature and higher relative humidity had significant associations with worsened RP in this systemic sclerosis cohort, suggesting an important role for dry warmth in managing this condition.
Atom‐Level 2D Catalysts Accelerating Deposition/Dissolution Kinetics in Lithium–Sulfur Batteries
Authors: Cheng Kaipeng , Huang Xiahui , Li Yuting , Zhao Jianbo , Sun Lichan , Xu Yinghuan , Cao Zhenjiang , Chen Yahong 
Published: October 2024

AbstractThe performance of high‐energy‐density lithium–sulfur (Li–S) batteries is limited by the unmanageable deposition/dissolution kinetics of lithium anode and sulfur cathode, leading to subpar electrochemical efficiency. Prior to being deposited on the electrolyte/electrode interface or within the interior, the solvated lithium‐ion (Li+) must undergo de‐solvation to produce free Li+ ions. These ions then participate in subsequent Redox reactions. The sulfur cathode faces challenges related to solid–liquid transformation and polysulfide conversion/shuttle, which impact the deposition/dissolution process. These issues collectively create insurmountable electrochemical barriers in lithium–sulfur batteries. Atom‐level 2D catalysts, contributing to the consummate atomic efficiency (≈100 at%), play an important role in accelerating deposition/dissolution kinetics in lithium–sulfur batteries. In the review, the preparation of atom‐level 2D catalysts and catalytic kinetic process on accelerating Li+ de‐solvation, Li0 stripping/dissolution, Li0 nucleation/deposition of lithium anode, polysulfide conversion, and LixS deposition of sulfur cathode are summarized, and the outlook of high‐performance single‐atom, multiple atoms modified 2D catalysts in lithium, sodium, and zinc‐based batteries is putting forward.
Synergetic Hybridization Strategy to Enhance the Dynamicity of Poorly Dynamic CO2‐derived Vitrimers achieved by a Simple Copolymerization Approach
Authors: Seychal Guillem , Ximenis Marta , Lemaur Vincent , Grignard Bruno , Lazzaroni Roberto , Detrembleur Christophe , Sardon Haritz , Aranburu Nora , Raquez Jean‐Marie 
Published: October 2024

AbstractCopolymerization allows tuning polymer's properties and a synergetic effect may be achieved for the resulting hybrid, i.e., outperforming the properties of its parents as often observed in natural materials. This synergetic concept is herein applied to enhance both dynamicity and properties of vitrimeric materials using poorly dynamic hydroxyurethane and non‐dynamic epoxy thermosets. The latter generates activated hydroxyl, promoting exchange reactions 15 times faster than pure polyhydroxyurethanes. This strategy allows obtaining catalyst‐free high‐performance vitrimers from conventional epoxy‐amine formulations and an easily scalable (bio‐)CO2‐based yet poorly efficient dynamic network. The resulting hybrid network exhibits modulus retention superior to 95% with fast relaxation (<10 min). The hydroxyurethane moieties actively participate in the network to enhance the properties of the hybrid. The material can be manufactured as any conventional epoxy formulation. This new strategy to design dynamic networks opens the door to large‐scale circular high‐performance structural carbon fiber composites (CFRP). The CFRP can be easily reshaped and welded from flat plates to complex geometries. The network is degradable under mild conditions, facilitating the recovery and re‐use of high‐added‐value fibers. This accessible and cost‐effective approach provides a versatile range of tunable dynamic epoxides, applicable across various industries with minimal adjustments to existing marketed products.
Selenium‐Rich Sb2(S,Se)3 Thin Films Deposited via Sequential Chemical Bath Deposition for High‐Efficiency Solar Cells
Authors: Dai Guohao , Wang Xiaomin , Chen Shihang , Chen Xueling , Che Bo , Chen Tao , Hu Pu , Li Jianmin 
Published: October 2024

AbstractRecently, solution‐processed antimony sulfoselenide (Sb2(S,Se)3) thin films and solar cells have gained popularity and achieved impressive results. One of the most effective improvements is the chemical bath deposition (CBD) approach, which is gentle, highly adjustable, and scalable. However, development in alloyed Sb2(S,Se)3 using this process has been modest, with a power conversion efficiency (PCE) of roughly 8%. In this work, a sequential CBD deposition strategy is designed, introducing sulfur (S) or selenium (Se) sources at different stages of the CBD process to achieve high‐quality Sb2(S,Se)3 thin films and devices. Impressively, adding a moderate amount of sodium thiosulfate and thioacetamide as mixed sulfur sources during the CBD deposition of Sb2Se3 can produce Se‐rich Sb2(S,Se)3 films with high crystallinity, suitable bandgaps, low defect density, and favorable energy level alignment. With a short‐circuit current density (JSC) of 26.80 mA cm−2 and a fill factor (FF) of 65.89%, the solar cells with the FTO/CdS/Sb2(S,Se)3/Spiro‐OMeTAD/Au structure obtained an impressive PCE of 9.29%, the highest to date for Sb2(S,Se)3 solar cells manufactured with the CBD process. This study provides a feasible approach for enhancing the performance of CBD‐produced Sb2(S,Se)3 solar cells and offers new insights and techniques for the synthesis of other complex multicomponent thin films.
Innovative Materials for Lamination Encapsulation in Perovskite Solar Cells
Authors: Mu Lei , Wang Shubin , Liu Huicong , Li Weiping , Zhu Liqun , Wang Hailiang , Chen Haining 
Published: October 2024

AbstractPerovskite solar cells (PSCs), as the forefront of third‐generation solar technology, are distinguished by their cost‐effectiveness, high photovoltaic efficiency, and the flexibility of their bandgap tunability, positioning them as formidable contenders in the photovoltaic market. However, the stability of PSCs remains a significant barrier to their widespread commercialization. Lamination encapsulation is identified as a pivotal intervention to enhance the durability of PSCs under external environmental stress. This review initiates with an in‐depth exploration of the degradation phenomena in PSCs, triggered by environmental stressors such as water, oxygen, light, and heat. This analysis lays bare the degradation mechanisms, thereby highlighting the specific demands for effective encapsulation materials. Subsequently, the review presents a systematic discourse on the latest developments in encapsulation materials, dissecting their molecular structures and linking these to their physical properties and performance in encapsulation applications. The narrative concludes by charting potential future research pathways intended to refine and enhance the encapsulation performance of PSCs, offering several routes for overcoming current limitations and propelling PSCs toward their full commercial potential.
Recent Progress on 3D Printing of Lightweight Metal Thin‐Walled Structures
Authors: Vivegananthan Priyanka , Gao Shubo , Ji Weiming , Fan Haiyang , Han Changjun , Zhou Kun 
Published: October 2024

AbstractMetal thin‐walled structures are ubiquitous in various industrial applications and fabricating them through additive manufacturing (AM) enables intricate thin‐wall geometries with no assembly required. However, additively manufactured metal thin walls suffer from increased heat accumulation and reduced structural stability, making it difficult to print geometrically accurate thin walls with minimal distortion and defects. Thin‐walled structures also experience different thermal histories and solidification conditions compared to bulk structures, leading to drastic differences in the microstructure and mechanical properties. In this review article, the AM processing of metal thin‐walled structures will be introduced. An in‐depth discussion on the design strategies of additively manufactured metal thin walls will be presented regarding the restrictions imposed by the AM technology, the integration of thin walls in lightweight structures, and novel design ideation through topology optimization. The effects that the thin wall design has on the geometrical accuracy, microstructure, and mechanical properties will then be elucidated. The utilization of AM for fabricating metal thin walls across various industries will also be summarized. Finally, this review article will close on some perspectives and future work on the AM of metal thin‐walled structures.
Spatially‐Resolved Organoid Transfection by Porous Silicon‐Mediated Optoporation
Authors: Spiteri Chantelle , Caprettini Valeria , Wang Yikai , Dominguez‐Gil Sofia , Kaasalainen Martti , Wang Cong , Martella Davide Alessandro , McLennan Samuel , Vashisth Priya , Gary‐Bobo Magali , Nguyen Christophe , Bergholt Mads , Durand Jean‐Olivier , Cunin Frédérique , Chiappini Ciro 
Published: October 2024

AbstractEngineering the spatial organisation of organotypic cultures is pivotal for refining tissue models that are useful for gaining deeper insights into complex, non‐cell autonomous processes. These advanced models are key to improving the understanding of fundamental biological mechanisms and therapeutic strategies. Controlling gene regulation through spatially‐resolved delivery of nucleic acids provides an attractive approach to produce such tissue models. An emerging strategy for spatially‐resolved transfection uses photosensitizing nanoparticles coupled with laser pulses to optoporate cells in culture and locally mediate gene delivery. However, localized optoporation in 3D systems remains challenging. Here we propose a solution to this longstanding hurdle, demonstrating that porous silicon nanoparticles are a safe and bioresorbable photosensitising nanomaterial capable of spatially‐resolved transfection of mRNA in MCF‐7 organoids by near‐infrared two‐photon optoporation. Functionalization with an azobenzene–lysine photo‐switchable moiety enhances the transfection efficiency of the nanoparticles up to 84% in a 2D cell system. Moreover, the nanoparticles enable spatially selective mRNA transfection to MCF‐7 spheroids, demonstrating targeted gene delivery in complex 3D cellular environments. The approach for spatially‐resolved 3D optoporation offers a way forward for the design of tailored spheroids and organoids by spatially selective nucleic acids delivery.
Pushing Radiative Cooling Technology to Real Applications
Authors: Lin Chongjia , Li Keqiao , Li Meng , Dopphoopha Benjamin , Zheng Jiongzhi , Wang Jiazheng , Du Shanshan , Li Yang , Huang Baoling 
Published: October 2024

AbstractRadiative cooling is achieved by controlling surface optical behavior toward solar and thermal radiation, offering promising solutions for mitigating global warming, promoting energy saving, and enhancing environmental protection. Despite significant efforts to develop optical surfaces in various forms, five primary challenges remain for practical applications: enhancing optical efficiency, maintaining appearance, managing overcooling, improving durability, and enabling scalable manufacturing. However, a comprehensive review bridging these gaps is currently lacking. This work begins by introducing the optical fundamentals of radiative cooling and its potential applications. It then explores the challenges and discusses advanced solutions through structural design, material selection, and fabrication processes. It aims to provide guidance for future research and industrial development of radiative cooling technology.