bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling Tumor Growth Using Partly Conditional Survival Models: A Case Study in Colorectal Cancer
Authors: Flynn Jessica R. , Curry Michael , Zhao Binsheng , Yang Hao , Dercle Laurent , Fojo Antonio Tito , Connors Dana E. , Schwartz Lawrence H. , Gönen Mithat , Moskowitz Chaya S. 
Published: September 2023

PURPOSE There are multiple approaches to modeling the relationship between longitudinal tumor measurements obtained from serial imaging and overall survival. Many require strong assumptions that are untestable and debatable. We illustrate how to apply a novel, more flexible approach, the partly conditional (PC) survival model, using images acquired during a phase III, randomized clinical trial in colorectal cancer as an example. METHODS PC survival approaches were used to model longitudinal volumetric computed tomography data of 1,025 patients in the completed VELOUR trial, which evaluated adding aflibercept to infusional fluorouracil, leucovorin, and irinotecan for treating metastatic colorectal cancer. PC survival modeling is a semiparametric approach to estimating associations of longitudinal measurements with time-to-event outcomes. Overall survival was our outcome. Covariates included baseline tumor burden, change in tumor burden from baseline to each follow-up time, and treatment. Both unstratified and time-stratified models were investigated. RESULTS Without making assumptions about the distribution of the tumor growth process, we characterized associations between the change in tumor burden and survival. This change was significantly associated with survival (hazard ratio [HR], 1.04; 95% CI, 1.02 to 1.05; P < .001), suggesting that aflibercept works at least in part by altering the tumor growth trajectory. We also found baseline tumor size prognostic for survival even when accounting for the change in tumor burden over time (HR, 1.02; 95% CI, 1.01 to 1.02; P < .001). CONCLUSION The PC modeling approach offers flexible characterization of associations between longitudinal covariates, such as serially assessed tumor burden, and survival time. It can be applied to a variety of data of this nature and used as clinical trials are ongoing to incorporate new disease assessment information as it is accumulated, as indicated by an example from colorectal cancer.
Co-Design of a website for women with pelvic organ prolapse: A study protocol
Authors: Carroll Maria-Louise , Doody Catherine , O' Sullivan Cliona , Perrotta Carla , Fullen Brona M 
Published: September 2023

Background: Despite high reported prevalence of pelvic organ prolapse (POP), women report difficulties accessing evidence-based and reliable information about the condition. Many rely on social media and other popular and highly visible internet platforms which have been found to contain poor quality information that is difficult for the average patient to understand. The aim of the study is to co-design an information website for women with POP. The website design will be based on the Website Developmental Model for the Healthcare Consumer (WDMHC) framework. Methods: A four phase process will be utilised as per the WDMHC framework: 1) User, task and environmental analysis; 2) Functional and representational analysis; 3) Cognitive walkthrough, keystroke level model, heuristic testing; 4) Content based testing, expert testing and user-based testing. Ethics approval has been obtained (LS-23-19-Carroll-Ful). Two groups of stakeholders will be recruited (i) patient group (ii) healthcare professional (HCP) group. Patient participants will be recruited from an online pelvic floor dysfunction (PFD) support group (n=950 members). A website designer and HCP stakeholders involved in the multidisciplinary team caring for women with POP will be invited to participate. Both groups will participate in separate co-design online workshops. Focus group workshops will be video-recorded, transcribed and imported into NVivo. Themes and subthemes will be developed. The website will be designed and disseminated to all participants for feedback. Cognitive walkthrough and heuristic testing will be undertaken. Following this, necessary modifications will be made to the website. Participants will then complete a modified System Usability Scale (SUS) and the eHealth Impact Questionnaire, while five HCPs will complete the DISCERN instrument. Conclusion: This study will inform the design and testing of an information website for women with POP. The website design and content will be informed by patient and HCP stakeholder voices and the health literacy literature.
(In)traduisibles : la traductologie française récente face aux figements linguistiques et aux jeux de mots
Authors: Fossa Paola 
Published: September 2023

(UN)TRANSLATABLE: RECENT FRENCH TRANSLATION STUDIES ON FROZEN EXPRESSIONS AND PUNS
Frozen expressions and puns can be compared in terms of translation solutions. As plural elements and because of their idiomaticity and cultural charge, they have long been considered as « untranslatable ». However, recent translation studies have focused on these textual objects, proposing several solutions. We will draw on recent studies and some older ones to illustrate the techniques the translator can adopt. The sharing of knowledge and translation practices between different fields is always fruitful: when faced with a frozen expression or a pun, the translator often encounters the same problems, so similar solutions could be adopted. The intersection of descriptive and normative approaches helps to define translation solutions for these plural and resistant textual objects.
Secondary organising pneumonia caused by denosumab
Authors: Ouakidi Djalaleddine , Bourouis Bouchra Nesrine , Banat Mohammed Amine , Azzi Nesrine , Benzait Siham , Snouber Abdelmadjid 
Published: September 2023

Introduction: Organising pneumonia belongs to diffuse interstitial lung diseases; we distinguish the cryptogenic organising pneumonia, which is idiopathic, from the secondary organising pneumonia caused by drugs or a defined cause. Denosumab is a human monoclonal antibody, rarely inducing adverse pulmonary effects. Case description: A 57-year-old female patient was admitted to our chest clinic for acute respiratory distress. She was treated with denosumab for severe osteoporosis. The patient described a dry cough and dyspnoea over the previous four months, increased after the last injection of denosumab. A high-resolution computed tomography scan showed bilateral basal parenchymal condensations. The aetiological investigation did not reveal any infectious or immunological origin. The favourable computed tomography imaging and clinical evolution after corticosteroid therapy led to the diagnosis of drug-induced organising pneumonia. Conclusion: Denosumab could induce organising pneumonia. Therefore, clinicians should be aware of this pulmonary toxicity.
Deeply subwavelength integrated excitonic van der Waals nanophotonics
Authors: Ling Haonan , Manna Arnab , Shen Jialiang , Tung Ho-Ting , Sharp David , Fröch Johannes , Dai Siyuan , Majumdar Arka , Davoyan Artur R. 
Published: September 2023

The wave nature of light sets a fundamental diffraction limit that challenges confinement and control of light in nanoscale structures with dimensions significantly smaller than the wavelength. Here, we study light–matter interaction in van der Waals MoS2 nanophotonic devices. We show that light can be coupled and guided in structures with dimensions as small as ≃λ/16 (∼60nm at 1000 nm excitation wavelength), while offering unprecedented optical field confinement. This deep subwavelength optical field confinement is achieved by exploiting strong lightwave dispersion in MoS2. We further study the performance of a range of nanophotonic integrated devices via far- and near-field measurements. Our near-field measurements reveal detailed imaging of excitation, evolution, and guidance of fields in nanostructured MoS2, whereas our far-field study examines light excitation and coupling to highly confined integrated photonics. Nanophotonics at a fraction of a wavelength demonstrated here could dramatically reduce the size of integrated photonic devices and opto-electronic circuits with potential applications in optical information science and engineering.
Functional social support: A systematic review and standardized comparison of different versions of the DUFSS questionnaire using the EMPRO tool
Authors: Lozano-Hernández Cristina M. , Cladellas Yolanda Pardo , Gil Conesa Mario , Garin Olatz , Forés Montserrat Ferrer , del Cura-González Isabel 
Published: September 2023

Background
Functional social support is one of the most established predictors of health, and the Duke-UNC Functional Social Support Questionnaire (DUFSS) is one of the most commonly used instruments to measure this parameter. The objective of this study is to systematically review the available evidence on the psychometric and administration characteristics of the different versions of the DUFSS and perform a standardized assessment though to a specifically designed tool.

Methods
A systematic review was performed in the PubMed/MEDLINE, SCOPUS, WOS and SCIELO databases. All articles that contained information on the development process of the instrument, the psychometric properties and aspects related to its administration were included, without restrictions based on publication date, language, or the version of the questionnaire that was studied. The selection and extraction procedure were carried out by two researchers. The articles finally included were peer-reviewed through a standardised assessment using the Evaluating the Measurement of Patient-Reported Outcomes (EMPRO) tool. PROSPERO registration number: CRD42022342977.

Results
A total of 54 articles were identified. After eliminating duplicates and screening articles based on the selection criteria, 15 studies that examined the DUFSS questionnaire resulting in 4 different versions: 3 articles obtained the 8-item version; 11 the 11-item version; and a single article obtained two versions, the 14-item version and the 5-item version. At least 60% of them did so in a young adult population, predominantly female and with a medium-low socio-economic level or with characteristics of social vulnerability. The EMPRO evaluation showed that the 11-item version (54.01 total score) was the only one that had been studied on all recommended attributes and had higher total scores than the other versions: 8 items (36.31 total score), 14 items (27.48 total score) and 5 items (23.81 total score). This difference appears in all attributes studied, with the highest scores in "reliability (internal consistency)" and "validity".

Conclusions
Of the 4 versions identified in the DUFSS questionnaire, the 11-item version was found to be optimal based on the EMPRO standardized tool. Although, a priori, we could prioritise its use in epidemiological studies over the other versions, it should be noted that this version should also be used with caution because there are attributes that have not been studied.
Knowledge exchange and capacity building in deltas: experiences of the Delta Alliance
Authors: van Nieuwaal Kim , Langenberg Victor , Odhengo Peter 
Published: September 2023

Abstract
Deltas are areas where pressures (e.g. climate change, rapid urbanization, water related shocks and stressors) as well as opportunities (e.g. economic growth, delta-city metabolism, sustainable development) collide to an unprecedented extent. The deltas are considered to become the most vital and critical hotspots in the world for sustainable development. Consequently, immediate acceleration in hands-on knowledge partnerships is required for sustainable low-carbon emission and resilient investments in delta areas. The mission of the Delta Alliance is to improve the resilience of the deltas in the world through knowledge sharing and capacity building. In this paper we elaborate on the various roles that the Delta Alliance has played and how this has been of significance for other developing delta regions in the world. Some of the successes and lessons learned are highlighted, with a particular focus on the African deltas. We argue that increasing investments in knowledge sharing and capacity building among - and with - those working in the deltas for creating equitable and trusted partnerships are a necessary condition for an integrated approach to the challenges in the deltas.
O vocabulário acadêmico do turismo em artigos científicos de língua inglesa
Authors: Fontella Joni Márcio Dorneles 
Published: September 2023

O presente artigo é resultado da pesquisa de doutorado intitulada “Termos do Turismo em artigos acadêmicos em inglês: um estudo terminológico” (Fontella, 2023). O objetivo principal é apresentar uma parte do termos do Turismo coletados de um corpus composto por mais de 500 artigos científicos da área, juntamente com uma análise comparativa dos termos de uma das subáreas do Turismo – Comidas e Bebidas. O vocabulário acadêmico (VA) tem sido objeto de estudo em diversas pesquisas nas últimas décadas. As primeiras listas de palavras acadêmicas foram desenvolvidas, de forma manual, nos anos de 1970. Xue e Nation (1984), já com o auxílio de computadores, compilaram listas elaboradas na década anterior e criaram uma lista que foi considerada a principal fonte desse tipo de vocabulário, a University Word List (UWL). No ano 2000, baseando-se em um corpus composto de textos acadêmicos de diversas áreas e disciplinas, Averil Coxhead elaborou a Academic Word List (AWL), a qual passou a ser a referência de vocabulário acadêmico desde então. O VA é composto por diferentes tipos de vocabulários, entre eles o vocabulário fundamental (VF), palavras estritamente acadêmicas e termos. Revisitamos as noções de VF (Biderman, 1996) e de VA (Nation, 2013; Snow; Ucelli, 2009) para que pudéssemos comparar os termos selecionados no corpus com as duas listas, a General Service List (GSL) (West, 1953), referência de VF; e a AWL, referência de VA. A análise dos termos da subárea de Comidas e Bebidas revelou que há maior incidênica de itens lexicais que coincidem com o VF da língua inglesa do que com o VA.
Hubungan Literasi Kesehatan Dengan Perilaku Hidup Bersih Dan Sehat Rumah Tangga di Wilayah Kerja Puskesmas I Tabanan, Bali
Authors: Farmani Putu Ika , Laksmini Putu Ayu 
Published: September 2023

Background: Health literacy is the knowledge, motivation, and competence used to understand, assess, and use information to decide about health, including Healthy and Clean-Living Behaviour among household. The Healthy and Clean-Living Behaviour among household is the effort of family empower to know, wants, and could be practice in community. This study aims to determine the relationship of health literacy and Healthy and Clean-Living Behaviour among households in the Area of PHC I Tabanan.Methods: The cross-sectional analytic design study was conducted to collect data by interview using The HLS-EU-Q16 and Healthy and Clean-Living Behaviour’s questionaire. Sample was 200 families in the area of PHC I Tabanan that chosed by cluster random sampling. The variable research’s was socio demographic, health literacy, and Healthy and Clean-Living Behaviour. Data was analysed descreptively and analytic using Gamma test.Results: Research result show socio demographic of responden were female (63%), age average 48 y.o, married (90.5%), history of education was senior high school (49%), and 53.5% was enterpreuner. 51.5% Respondent with high level of health literacy and 84.5% respondent with level of Healthy and Clean-Living Behaviour with "sehat utama" category. Gamma test showed that strong positive relationship of health literacy and Healthy and Clean-Living Behaviour among household in the area of PHC I Tabanan (coefisient correlation = 0,372 and p value = 0,047).Conclusion: There is strong relationship between health literacy and Healthy and Clean-Living Behaviour among household so imporvement health literacy among household could be implementation from health promotion program.
KG-Roar: Interactive Datalog-Based Reasoning on Virtual Knowledge Graphs
Authors: Bellomarini Luigi , Benedetti Marco , Gentili Andrea , Magnanimi Davide , Sallinger Emanuel 
Published: September 2023

Logic-based Knowledge Graphs (KGs) are gaining momentum in academia and industry thanks to the rise of expressive and efficient languages for Knowledge Representation and Reasoning (KRR). These languages accurately express business rules, through which valuable new knowledge is derived. A versatile and scalable backend reasoner, like Vadalog, a state-of-the-art system for logic-based KGs---based on an extension of Datalog---executes the reasoning.
In this demo, we present KG-Roar, a web-based interactive development and navigation environment for logical KGs. The system lets the user augment an input graph database with intensional definitions of new nodes and edges and turn it into a KG, via the metaphor of reasoning widgets---user-defined or off-the-shelf code snippets that capture business definitions in the Vadalog language.
Then, the user can seamlessly browse the original and the derived nodes and edges within a "Virtual Knowledge Graph", which is reasoned upon and generated interactively at runtime, thanks to the scalability and responsiveness of Vadalog. KG-Roar is domain-independent but domain aware, as exploration controls are contextually generated based on the intensional definitions.
We walk the audience through KG-Roar showcasing the construction of certain business definitions and putting it into action on a real-world financial KG, from our work with the Bank of Italy.
BrewER: Entity Resolution On-Demand
Authors: Zecchini Luca , Simonini Giovanni , Bergamaschi Sonia , Naumann Felix 
Published: September 2023

The task of entity resolution (ER) aims to detect multiple records describing the same real-world entity in datasets and to consolidate them into a single consistent record. ER plays a fundamental role in guaranteeing good data quality, e.g., as input for data science pipelines. Yet, the traditional approach to ER requires cleaning the entire data before being able to run consistent queries on it; hence, users struggle to tackle common scenarios with limited time or resources (e.g., when the data changes frequently or the user is only interested in a portion of the dataset for the task).
We previously introduced BrewER, a framework to evaluate SQL SP queries on dirty data while progressively returning results as if they were issued on cleaned data, according to a priority defined by the user. In this demonstration, we show how BrewER can be exploited to ease the burden of ER, allowing data scientists to save a significant amount of resources for their tasks.
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning
Authors: Wang Junxiong , Gray Mitchell , Trummer Immanuel , Kara Ahmet , Olteanu Dan 
Published: September 2023

Performance of worst-case optimal join algorithms depends on the order in which the join attributes are processed. It is challenging to identify suitable orders prior to query execution due to the huge search space of possible orders and unreliable execution cost estimates in case of data skew or data correlation.
We demonstrate ADOPT, a novel query engine that integrates adaptive query processing with a worst-case optimal join algorithm. ADOPT divides query execution into episodes, during which different attribute orders are invoked. With runtime feedback on performance of different attribute orders, ADOPT rapidly approaches near-optimal orders. Moreover, ADOPT uses a unique data structure which keeps track of the processed input data to prevent redundant work across different episodes. It selects attribute orders to try via reinforcement learning, balancing the need for exploring new orders with the desire to exploit promising orders. In experiments, ADOPT outperforms baselines, including commercial and open-source systems utilizing worst-case optimal join algorithms, particularly for complex queries that are difficult to optimize.
Allelic variants of CYP2B6 gene expression and its implication on the pathogenesis of malaria among a cohort of outpatients in North-Central Nigeria
Authors: Shittu Olalere , Oniya Mobolanle Oladipo , Olusi Titus Adeniyi 
Published: September 2023

Abstract

Background
Human cytochrome P450 2B6 (CYP2B6) is fortified with the biotransformation of the antimalarial, artemisinin combination therapy (ACT). Owing to emerging reports of Plasmodium species resistance to ACT in other climes, CYP2B6*6 genotype significantly alters ACT metabolism. In North-Central Nigeria, the distribution of the CYP2B6*6 variant is poorly documented. This study investigated the distribution of CYP2B6 c.516G>T variants and its relationship with certain malaria pathogenesis among a cohort of clinical-malaria outpatients in Ilorin, Nigeria.

Methods
A total of 50 symptomatic P. falciparum malaria-positive samples were genotyped for CYP2B6 c.516G>T using restriction fragment length polymorphism and a specific haplotype population was established. The allele frequencies and genotype distributions were analyzed. Haplotypes were clustered using Ward’s method. Correlations determined include defective CYP2B6 versus parasitemia densities and thrombocytopenia, respectively.

Results
Forty-five samples show genotypic ratios and nine CYP2B6 genetic single nucleotide polymorphisms were identified. The following haplotypes (64C>T = *1/*2, 785A>G = *1/*4, and 1459C>T = *1/*5) occurred and *2, *3, and *18 alleles harbor 64C>T, 777C>A, −82T>C, and 499C>G. The codon 64CT, 516GT, and 785AG; −82TC and 777CA; and 499CG, 516GT, and 785AG were identified as *2/*6 heterozygotes. Samples with 516GT and 785GG genotypes occurred with *4/*6 heterozygotes. Mutant trait alleles recorded high parasitemia 72 h post-ACT regimen. Only individuals with CYP2B6*6 alleles had severe malaria and thrombocytopenia.

Conclusion
This report contributes to the growing knowledge of CYP2B6*6 genotype frequency and its relationship with malaria pathogenesis among a Nigerian population.
Comparison between image based and tabular data-based inclusion class categorization
Authors: R. Babu S. , Musi R. , K. Michelic S. 
Published: September 2023

Abstract
Non-metallic inclusions (NMI) have a significant impact on the final properties of steel products. As of today, the scanning electron microscope equipped with energy-dispersive spectroscopy (SEM-EDS) serves as the state of art characterization tool to study NMIs in steel. The automated 2D analysis method with the SEM-EDS allows for a comprehensive analysis of all the inclusions observed within a selected area of the sample. The drawback of this method is the time taken to complete the analysis. Therefore, machine learning methods have been introduced which can potentially replace the usage of EDS for obtaining chemical information of the inclusion by making quick categorizations of the inclusion classes and types. The machine learning methods can be developed by either training it directly with labeled backscattered electron (BSE) images or by tabular data consisting of image features input such as morphology and mean gray value obtained from the BSE images. The current paper compares both these methods using two steel grades. The advantages and the disadvantages have been documented. The paper will also compare the usage of shallow and deep learning methods to classify the steels and discuss the outlook of the existing machine learning methods to efficiently categorize the NMIs in steel.