bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficience économique et financement des solutions fondées sur la nature : le cas du bassin versant de la Brague
Authors: Arfaoui Nabila , Gnonlonfin Amandine , Piton Guillaume , Douai Ali 
Published: April 2023

Cet article évalue l’efficience économique de stratégies de prévention du risque d’inondation en vue d’éclairer la décision de financement des acteurs publics. Le cas de la protection contre les crues « éclair » (courtes et violentes) de la Brague et des inondations associées de la basse vallée à Biot et Antibes (Alpes-Maritimes) est pris comme exemple. Dans cette perspective, nous proposons une double analyse coût-bénéfice (ACB) dans le contexte particulier de la loi Gemapi (gestion des milieux aquatiques et protection contre les inondations) et des stratégies dites « SFN » (solutions fondées sur la nature). L’ACB top-down éclaire les décisions des acteurs nationaux et régionaux tandis que l’ACB bottom-up répond aux préoccupations des acteurs locaux en évaluant l’acceptabilité sociale des stratégies étudiées.
The Association of Abnormal Doppler and Abnormal Amniotic Fluid Volume in the Third Trimester of Pregnancy with Preterm Birth in Pregnant Women in Agra, India
Authors: Gupta Anjali , Choorakuttil Rijo Mathew , Nirmalan Praveen K. 
Published: April 2023

AbstractAim This article determines the association and diagnostic effectiveness of abnormal Doppler and abnormal amniotic fluid volume (AFV) in the third trimester of pregnancy with preterm births.Methods The third trimester screening protocol of the Samrakshan program of the Indian Radiological and Imaging Association utilizes trimester-specific fetal Doppler studies and ultrasound assessments, estimation of the risk for preterm preeclampsia (PE), assessment of the fetal environment, growth, and structure, and staging of fetal growth restriction. A multivariate logistic regression model was used to explore associations of abnormal Doppler and AFV with preterm birth. The diagnostic effectiveness of Doppler and amniotic fluid measurements for preterm births was assessed.Results One hundred and sixty-one (25.6%) of the 630 women had a preterm birth before 37 gestational weeks. Eighty (21.1%) of the 379 women with normal AFV and normal fetal Doppler studies in the third trimester had a preterm birth. The proportion of preterm birth declined from 35.14% in 2019 to 19.53% in 2022 (chi-square test p = 0.009). Preterm birth was associated with preterm PE (adjusted odds ratio: 3.66, 95% confidence interval: 1.42, 9.44) in a multivariate logistic regression model. Both abnormal fetal Doppler and AFV did not have a good discriminatory ability for preterm births.Conclusion Integration of fetal Doppler studies helped reduce the preterm birth rate by providing an objective measure of fetal well-being, contrary to a common belief that the use of color Doppler in the third trimester may result in iatrogenic increased preterm birth. Preterm births are associated with preterm PE and early identification of high-risk women and early initiation of low-dose aspirin may have an added benefit on preterm birth rates.
Practice of L-Asparaginase Usage: A Survey among Healthcare Providers Treating Children with Cancer in India
Authors: MV Archana , VS Kalasekhar , Munikoty Vinay , Bhat Ramitha R. , Achyutrao Atul , Lakshmi R Vani , Bhat K Vasudeva 
Published: April 2023

Introduction L-asparaginase is an essential chemotherapeutic agent in the therapy of acute lymphoblastic leukemia (ALL), which has led to improvement in survival. In low- and middle-income countries like India, the outcomes in ALL are inferior compared with the published literature, one of the causes of which is believed to be due to the inferior quality of bioequivalent asparaginase.
Objective The following survey attempts to understand the practice of using this agent among oncologists treating children with cancer in our country.
Methods The researchers designed a structured online questionnaire comprising 25 aspects of L-asparaginase usage in the study. The questionnaire was directed to the healthcare providers involved in treating children with cancer in India.
Results Of the total 80 responses recorded, 51 (64%) respondents had more than 5 years of experience in pediatric oncology and were treating at least 5 to 10 newly diagnosed ALL patients per month. Forty-one (51%) respondents utilized native asparaginase, and 21 (26.3%) oncologists used PEGylated-asparaginase exclusively. The most common route of administration was the intramuscular route (66.3%). Seventy percent of respondents utilized native form at a dose of 10,000 IU/m2 and 20% at 6,000 IU/m2. The amounts used for PEGylated L-asparaginase were 1,000,IU/m2, 2,500,IU/m2, and variable doses in 48, 40, and 10% of responses, respectively. Though serum asparaginase assay (SAA) was not measured routinely in most of the centers, 39 (48.8%) healthcare providers perceived performing SAA helps to make the clinical decision.
Conclusion This survey shows a wide variation in L-asparaginase usage among healthcare providers caring for children with cancer in our country. As L-asparaginase is the pivotal component of ALL therapy, uniformity in its usage and dosing with the possibility of monitoring SAA due to the quality of bioequivalent may be one of the critical steps toward improving outcomes in ALL in our country.
Characteristics and Outcomes of Intrahospital Transfers from Neonatal Intensive Care to Pediatric Intensive Care Units
Authors: Mazur Lauren , Veten Ahmed , Ceneviva Gary , Pradhan Sandeep , Zhu Junjia , Thomas Neal J. , Krawiec Conrad 
Published: April 2023

Objective Critically ill children may be transferred from the neonatal intensive care unit (NICU) to the pediatric intensive care unit (PICU) for further critical care, but the frequency and outcomes of this patient population are unknown. The aims of this study are to describe the characteristics and outcomes in patients transferred from NICU to PICUs. We hypothesized that a higher-than-expected mortality would be present for patients with respiratory or cardiovascular diagnoses that underwent a NICU to PICU transition and that specific factors (timing of transfer, illness severity, and critical care interventions) are associated with a higher risk of mortality in the cardiovascular group.
Study Design Retrospective analysis of Virtual Pediatric Systems, LLC (2011–2019) deidentified cardiovascular and respiratory NICU to PICU subject data. We evaluated demographics, PICU length of stay, procedures, disposition, and mortality scores. Pediatric Index of Mortality 2 (PIM2) score was utilized to determine the standardized mortality ratio (SMR).
Results SMR of 4,547 included subjects (3,607 [79.3%] cardiovascular and 940 [20.7%] respiratory) was 1.795 (95% confidence interval: 1.62–1.97, p < 0.0001). Multivariable logistic regression analysis demonstrated transfer age (cardiovascular: odds ratio, 1.246 [1.10–1.41], p = 0.0005; respiratory: 1.254 [1.07–1.47], p = 0.0046) and PIM2 scores (cardiovascular: 1.404 [1.25–1.58], p < 0.0001; respiratory: 1.353 [1.08–1.70], p = 0.0095) were significantly associated with increased odds of mortality.
Conclusion In this present study, we found that NICU to PICU observed deaths were high and various factors, particularly transfer age, were associated with increased odds of mortality. While the type of patients evaluated in this study likely influenced mortality, further investigation is warranted to determine if transfer timing is also a factor.
Key Points
Peer-to-peer: The Social Transmission of Symptoms Online
Authors: Tan Winston , Pickup Brydee , Faasse Kate , Colagiuri Ben , Barnes Kirsten 
Published: April 2023

Abstract

Background
Social learning can be highly adaptive—for example, avoiding a hotplate your friend just burnt themselves on—but it has also been implicated in symptom transmission. Social learning is particularly pertinent given the rapid increase in the use of online mediums for social interaction. Yet, little is known about the social transmission of symptoms online or social chains extending further than a single model–observer interaction.

Purpose
To explore whether socially induced symptoms could be propagated through a three-generation social transmission chain in an online setting.

Methods
We explored the social transmission of cybersickness following a virtual reality (VR) experience through online webcam interactions. One hundred and seventy-seven adults viewed a VR video in one of four links along a social transmission chain, after: viewing an actor model cybersickness to the VR video (First-Generation); viewing the First-Generation participant undergo VR (Second-Generation); viewing the Second-Generation participant undergo VR (Third-Generation); or naïve (Control).

Results
Cybersickness was strongest in First-Generation participants, indicating social transmission from the model. This was mediated by expectancy and anxiety. Whether or not subsequent generations experienced cybersickness depended on what the observed participant verbally reported, which is consistent with social transmission.

Conclusions
Results demonstrate that symptoms can be readily transmitted online, and that expectancy and anxiety are involved. Although it is inconclusive as to whether symptoms can propagate along a social transmission chain, there is some evidence of protection from symptoms when a model who does not report any symptoms is observed. As such, this research highlights the role of social transmission in the modulation of symptoms through virtual mediums.
A Migrant’s Chronotopic Identities in Playful Talk in a Classroom
Authors: Tode Tomoko 
Published: April 2023

Abstract
This case study investigates a migrant adult’s identity work in playful talk occurring spontaneously in a classroom for Literacy Education and Second Language Learning for Adults (LESLLA). Based on 12 hours of video-recorded interactions among four learners and their teacher, I identified five playful episodes. This paper focuses on two episodes instigated by a woman who told stories of her outside lives. Discourse analysis was performed through the lens of chronotope (timespace) to examine how she navigated multiple chronotopes, including the front-region classroom chronotope, to negotiate identities and how playful language was related to her chronotopic identity work. Playfulness began in the periphery of the classroom chronotope; then the playful language in it led to the playful formulation of outside-life chronotopes where her agentive identity was constructed. Her full semiotic behaviours blurred the boundaries between the classroom chronotope and the outside chronotope so that the other participants could witness her agency. The study concludes that the classroom chronotope itself showed signs of change in a forward-looking direction.
Machine learning for synergistic network pharmacology: a comprehensive overview
Authors: Noor Fatima , Asif Muhammad , Ashfaq Usman Ali , Qasim Muhammad , Tahir ul Qamar Muhammad 
Published: April 2023

Abstract
Network pharmacology is an emerging area of systematic drug research that attempts to understand drug actions and interactions with multiple targets. Network pharmacology has changed the paradigm from ‘one-target one-drug’ to highly potent ‘multi-target drug’. Despite that, this synergistic approach is currently facing many challenges particularly mining effective information such as drug targets, mechanism of action, and drug and organism interaction from massive, heterogeneous data. To overcome bottlenecks in multi-target drug discovery, computational algorithms are highly welcomed by scientific community. Machine learning (ML) and especially its subfield deep learning (DL) have seen impressive advances. Techniques developed within these fields are now able to analyze and learn from huge amounts of data in disparate formats. In terms of network pharmacology, ML can improve discovery and decision making from big data. Opportunities to apply ML occur in all stages of network pharmacology research. Examples include screening of biologically active small molecules, target identification, metabolic pathways identification, protein–protein interaction network analysis, hub gene analysis and finding binding affinity between compounds and target proteins. This review summarizes the premier algorithmic concepts of ML in network pharmacology and forecasts future opportunities, potential applications as well as several remaining challenges of implementing ML in network pharmacology. To our knowledge, this study provides the first comprehensive assessment of ML approaches in network pharmacology, and we hope that it encourages additional efforts toward the development and acceptance of network pharmacology in the pharmaceutical industry.
Development of Different Separation Techniques for Impurity Profiling of Neostigmine Methylsulfate: A Comparative Study
Authors: El Mously Dina A , Mostafa Nadia M , Hassan Nagiba Y , El-Sayed Ghada M 
Published: April 2023

Abstract
Different separation techniques have been employed to resolve mixtures of multicomponent preparations over the last few decades. They could be efficiently applied for impurity profiling of active drug substances. Impurity profiling has become a critical procedure in pharmaceutical companies to comply with numerous regulatory standards. Isolation and characterization of impurities are crucial for obtaining data that proves biological safety and efficacy. In this contribution, different HPLC, capillary electrophoresis (CE) and TLC-densitometric methods were developed for the determination of neostigmine methylsulfate (NEO) along with 3-hydroxyphenyltrimethyl ammonium methylsulfate (3-HPA) and 3-dimethylaminophenol (DAP) as its impurities in the presence of citric acid. The linearity for NEO was attained in the range of 5–120 μg/mL and 10–60 μg/mL for the HPLC and CE methods, respectively. Regarding the impurities, linearity was obtained over the range of 10–30 μg/mL for 3-HPA and 5–30 μg/mL for DAP in the two proposed methods. For the TLC method, NEO and DAP were determined within the range of 1–11 μg/band, whereas 3-HPA was assayed over the range of 2–12 μg/band. The suggested methods can be securely utilized for routine analysis of the cited components in quality control laboratories.
FOXK1 regulates Wnt signalling to promote cardiogenesis
Authors: Sierra-Pagan Javier E , Dsouza Nikita , Das Satyabrata , Larson Thijs A , Sorensen Jacob R , Ma Xiao , Stan Patricia , Wanberg Erik J , Shi Xiaozhong , Garry Mary G , Gong Wuming , Garry Daniel J 
Published: April 2023

Abstract

Aims
Congenital heart disease (CHD) is the most common genetic birth defect, which has considerable morbidity and mortality. We focused on deciphering key regulators that govern cardiac progenitors and cardiogenesis. FOXK1 is a forkhead/winged helix transcription factor known to regulate cell cycle kinetics and is restricted to mesodermal progenitors, somites, and heart. In the present study, we define an essential role for FOXK1 during cardiovascular development.

Methods and results
We used the mouse embryoid body system to differentiate control and Foxk1 KO embryonic stem cells into mesodermal, cardiac progenitor cells and mature cardiac cells. Using flow cytometry, immunohistochemistry, cardiac beating, transcriptional and chromatin immunoprecipitation quantitative polymerase chain reaction assays, bulk RNA sequencing (RNAseq) and assay for transposase-accessible chromatin using sequencing (ATACseq) analyses, FOXK1 was observed to be an important regulator of cardiogenesis. Flow cytometry analyses revealed perturbed cardiogenesis in Foxk1 KO embryoid bodies (EBs). Bulk RNAseq analysis at two developmental stages showed a significant reduction of the cardiac molecular program in Foxk1 KO EBs compared to the control EBs. ATACseq analysis during EB differentiation demonstrated that the chromatin landscape nearby known important regulators of cardiogenesis was significantly relaxed in control EBs compared to Foxk1 KO EBs. Furthermore, we demonstrated that in the absence of FOXK1, cardiac differentiation was markedly impaired by assaying for cardiac Troponin T expression and cardiac contractility. We demonstrate that FOXK1 is an important regulator of cardiogenesis by repressing the Wnt/β-catenin signalling pathway and thereby promoting differentiation.

Conclusion
These results identify FOXK1 as an essential transcriptional and epigenetic regulator of cardiovascular development. Mechanistically, FOXK1 represses Wnt signalling to promote the development of cardiac progenitor cells.
Visceral adiposity index and the risk of heart failure, late-life cardiac structure, and function in ARIC study
Authors: Xu Chaoguang , Guo Yue , Zhang Shaozhao , Lai Yuhui , Huang Mengting , Zhan Rongjian , Liu Menghui , Xiong Zhenyu , Huang Yiquan , Huang Rihua , Liao Xinxue , Zhuang Xiaodong , Cai Zhixiong 
Published: April 2023

Abstract

Background
It is well established that obesity is associated with the risk of heart failure (HF). However, the data about relationship between visceral fat and the risk of HF are limited.

Aims
We aim to evaluate the association between visceral obesity assessed by visceral adiposity index (VAI) and incident HF and left ventricular (LV) structure and function in Atherosclerosis Risk in Communities (ARIC) study.

Methods
We included 12 161 participants (aged 54.1 ± 5.8 years) free of history of HF and coronary heart disease at baseline (1987–89) in ARIC study. We used multivariable Cox hazard regression models to assess the association between the VAI and incident HF. We further explored the effects of the VAI on LV geometry and function among 4817 participants with echocardiographic data using multivariable linear regression analysis and multinomial logistic regression.

Results
During a median follow-up of 22.5 years, a total of 1904 (15.7%) participants developed HF. After adjustment for traditional HF risk factors, 1 unit increase in the baseline VAI was associated with an 8% higher risk of incident HF [hazard ratio (HR): 1.08, 95% confidence interval (CI): 1.06–1.11]. Results were similar when participants were categorized by VAI tertiles. Compared with participants in the lowest tertile of VAI, those in the second tertile and third tertile had a greater risk of incident HF [HR (95% CI): 1.19 (1.05–1.34) and 1.42 (1.26–1.61), respectively]. For the analyses of the HF subtypes, the higher VAI was only associated with the risk of HF with preserved ejection fraction, not with HF with reduced ejection fraction. In addition, the greater VAI was associated with worse LV diastolic function and abnormal LV geometry including concentric remodelling, concentric hypertrophy, and eccentric hypertrophy.

Conclusion
This study shows that higher VAI was independently associated with the increased risk of incident HF and abnormal LV geometry and LV diastolic dysfunction.
Intensive blood pressure lowering and the risk of new-onset diabetes in patients with hypertension: a post-hoc analysis of the STEP randomized trial
Authors: Yang Ruixue , Zhu Yanqi , Xu Mengdan , Tao Yanhua , Cong Wenwen , Cai Jun 
Published: April 2023

Abstract

Aims
The strategy of blood pressure intervention in the elderly hypertensive patients (STEP) trial reported the cardiovascular benefit of intensive systolic blood pressure (SBP) control in patients with hypertension. The association between intensive SBP lowering and the risk of new-onset diabetes is unclear. This study aimed to evaluate the effect of intensive SBP lowering on the incidence of new-onset diabetes.

Methods and results
Participants in STEP who had baseline fasting serum glucose (FSG) concentrations &lt;7.0 mmol/L and no history of diabetes or hypoglycaemic medication use were included. The primary outcome was new-onset diabetes defined as the time to first occurrence of FSG concentrations ≥7.0 mmol/L. The secondary outcome was new-onset impaired fasting glucose (FSG: 5.6–6.9 mmol/L) in participants with normoglycemia. A competing risk proportional hazards regression model was used for analysis. The cohort comprised 5601 participants (mean age: 66.1 years) with a mean baseline SBP of 145.9 mmHg. Over a median follow-up of 3.42 years, 273 (9.6%) patients in the intensive SBP group (target, 110 to &lt;130 mmHg) and 262 (9.5%) in the standard SBP group (target, 130 to &lt;150 mmHg) developed diabetes (adjusted hazard ratio, 1.01; 95% confidence interval (CI), 0.86–1.20). The adjusted hazard ratio for the secondary outcome was 1.04 (95% CI, 0.91–1.18). The mean highest FSG concentration during the follow-up was 5.82 and 5.84 mmol/L in the intensive and standard groups, respectively.

Conclusion
Intensive SBP lowering is not associated with an altered risk of new-onset diabetes or impaired fasting glucose in hypertensive patients.

Registration
STEP ClinicalTrials.gov, number: NCT03015311.
The GEN-ERA toolbox: unified and reproducible workflows for research in microbial genomics
Authors: Cornet Luc , Durieu Benoit , Baert Frederik , D'hooge Elizabet , Colignon David , Meunier Loic , Lupo Valérian , Cleenwerck Ilse , Daniel Heide-Marie , Rigouts Leen , Sirjacobs Damien , Declerck Stéphane , Vandamme Peter , Wilmotte Annick , Baurain Denis , Becker Pierre 
Published: April 2023

Abstract

Background
Microbial culture collections play a key role in taxonomy by studying the diversity of their strains and providing well-characterized biological material to the scientific community for fundamental and applied research. These microbial resource centers thus need to implement new standards in species delineation, including whole-genome sequencing and phylogenomics. In this context, the genomic needs of the Belgian Coordinated Collections of Microorganisms were studied, resulting in the GEN-ERA toolbox. The latter is a unified cluster of bioinformatic workflows dedicated to both bacteria and small eukaryotes (e.g., yeasts).

Findings
This public toolbox allows researchers without a specific training in bioinformatics to perform robust phylogenomic analyses. Hence, it facilitates all steps from genome downloading and quality assessment, including genomic contamination estimation, to tree reconstruction. It also offers workflows for average nucleotide identity comparisons and metabolic modeling.

Technical details
Nextflow workflows are launched by a single command and are available on the GEN-ERA GitHub repository (https://github.com/Lcornet/GENERA). All the workflows are based on Singularity containers to increase reproducibility.

Testing
The toolbox was developed for a diversity of microorganisms, including bacteria and fungi. It was further tested on an empirical dataset of 18 (meta)genomes of early branching Cyanobacteria, providing the most up-to-date phylogenomic analysis of the Gloeobacterales order, the first group to diverge in the evolutionary tree of Cyanobacteria.

Conclusion
The GEN-ERA toolbox can be used to infer completely reproducible comparative genomic and metabolic analyses on prokaryotes and small eukaryotes. Although designed for routine bioinformatics of culture collections, it can also be used by all researchers interested in microbial taxonomy, as exemplified by our case study on Gloeobacterales.