bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organizing the dissemination and implementation field: who are we, what are we doing, and how should we do it?
Authors: Buchanan Gretchen J. R. , Filiatreau Lindsey M. , Moore Julia E. 
Published: April 2024

AbstractTwo decades into its tenure as a field, dissemination and implementation (D&I) scientists have begun a process of self-reflection, illuminating a missed opportunity to bridge the gap between research and practice—one of the field’s foundational objectives. In this paper, we, the authors, assert the research-to-practice gap has persisted, in part due to an inadequate characterization of roles, functions, and processes within D&I. We aim to address this issue, and the rising tension between D&I researchers and practitioners, by proposing a community-centered path forward that is grounded in equity.We identify key players within the field and characterize their unique roles using the translational science spectrum, a model originally developed in the biomedical sciences to help streamline the research-to-practice process, as a guide. We argue that the full translational science spectrum, from basic science research, or “T0,” to translation to community, or “T4,” readily applies within D&I and that in using this framework to clarify roles, functions, and processes within the field, we can facilitate greater collaboration and respect across the entire D&I research-to-practice continuum. We also highlight distinct opportunities (e.g., changes to D&I scientific conference structures) to increase regular communication and engagement between individuals whose work sits at different points along the D&I translational science spectrum that can accelerate our efforts to close the research-to-practice gap and achieve the field’s foundational objectives.
Efficacy and safety of ciprofol versus propofol for induction and maintenance of general anesthesia: a systematic review and meta-analysis
Authors: Hudaib Muhammad , Malik Hurais , Zakir Syeda Javeria , Rabbani Samra , Gnanendran Dhanushan , Syed Abdul Rehman Shah , Suri Noor Fatima , Khan Javeria , Iqbal Arham , Hussain Nowal , Abdullah Muhammad , Kumar Satesh , Khatri Mahima , Varrassi Giustino 
Published: April 2024

Abstract
Background
Propofol has been the gold standard for anesthesia induction and maintenance due to its rapid onset and favorable pharmacokinetic properties. However, the search for alternative agents with improved safety and efficacy has led to the emergence of ciprofol (HSK3486), a structural analog of propofol. This systematic review and meta-analysis aim to comprehensively assess the safety and efficacy of ciprofol compared to propofol for anesthesia induction and maintenance in adult patients undergoing surgical procedures.

Methods
This study included only double-arm RCTs in which participants were aged eighteen or older undergoing surgery. For the statistical analysis of the extracted data, we employed RevMan 5.4.1.

Results
Ciprofol demonstrated a promising trend of higher anesthesiologists’ satisfaction during the induction phase (MD 0.14, 95%, CI − 0.28 to 0.56, p = 0.51), whereas Propofol was favored during maintenance. Propofol also exhibited advantages with a shorter time to successful anesthesia induction (MD 0.08 min, 95% CI 0.00 to 0.15, p = 0.04), and quicker attainment of full alertness (MD 0.11 min, 95% CI − 1.29 to 1.52, p = 0.87), suggesting its efficiency in clinical practice. Importantly, there were no significant disparities in the success rate of anesthesia.

Conclusion
Both ciprofol and propofol demonstrate comparable efficacy and safety for anesthesia induction and maintenance in adult patients undergoing surgery. While propofol provides a faster onset of induction, ciprofol exhibits advantages in terms of pain management. Clinicians should consider these findings when selecting anesthetic agents, and tailoring choices to individual patient needs and clinical scenarios.
Evidence-based brief interventions targeting acute mental health presentations for children and adolescents: systematic review
Authors: Eapen Valsamma , Gerstl Brigitte , Ahinkorah Bright Opoku , John James Rufus , Hawker Patrick , Nguyen Thomas P. , Brice Febe , Winata Teresa , Bowden Michael 
Published: April 2024

BackgroundBrief intervention services provide rapid, mobile and flexible short-term delivery of interventions to resolve mental health crises. These interventions may provide an alternative pathway to the emergency department or in-patient psychiatric services for children and young people (CYP), presenting with an acute mental health condition.AimsTo synthesise evidence on the effectiveness of brief interventions in improving mental health outcomes for CYP (0–17 years) presenting with an acute mental health condition.MethodA systematic literature search was conducted, and the studies’ methodological quality was assessed. Five databases were searched for peer-reviewed articles between January 2000 and September 2022.ResultsWe synthesised 30 articles on the effectiveness of brief interventions in the form of (a) crisis intervention, (b) integrated services, (c) group therapies, (d) individualised therapy, (e) parent–child dyadic therapy, (f) general services, (g) pharmacotherapy, (h) assessment services, (i) safety and risk planning and (j) in-hospital treatment, to improve outcomes for CYP with an acute mental health condition. Among included studies, one study was rated as providing a high level of evidence based on the National Health and Medical Research Council levels of evidence hierarchy scale, which was a crisis intervention showing a reduction in length of stay and return emergency department visits. Other studies, of moderate-quality evidence, described multimodal brief interventions that suggested beneficial effects.ConclusionsThis review provides evidence to substantiate the benefits of brief interventions, in different settings, to reduce the burden of in-patient hospital and readmission rates to the emergency department.
Impact of Propofol Exposure on Neurocognitive Outcomes in Children With High-Risk B ALL: A Children's Oncology Group Study
Authors: Alexander Sarah , Kairalla John A. , Gupta Sumit , Hibbitts Emily , Weisman Hannah , Anghelescu Doralina , Winick Naomi J. , Krull Kevin R. , Salzer Wanda L. , Burke Michael J. , Gore Lia , Devidas Meenakshi , Embry Leanne , Raetz Elizabeth A. , Hunger Stephen P. , Loh Mignon L. , Hardy Kristina K. 
Published: April 2024

PURPOSE Many children treated for ALL develop long-term neurocognitive impairments. Increased risk of these impairments is associated with treatment and demographic factors. Exposure to anesthesia is an additional possible risk factor. This study evaluated the impact of cumulative exposure to anesthesia on neurocognitive outcomes among a multicenter cohort of children with ALL. METHODS This study was embedded in AALL1131, a Children's Oncology Group phase III trial for patients with high-risk B-ALL. In consenting patients age 6-12 years, prospective uniform assessments of neurocognitive function were performed during and at 1 year after completion of therapy. Exposure to all episodes of anesthetic agents was abstracted. Multivariable linear regression models determined associations of cumulative anesthetic agents with the primary neurocognitive outcome reaction time/processing speed (age-normed) at 1 year off therapy, adjusting for baseline neurocognitive score, age, sex, race/ethnicity, insurance status (as a proxy for socioeconomic status), and leukemia risk group. RESULTS One hundred and forty-four children, 76 (52.8%) males, mean age of 9.1 (min-max, 6.0-12.0) years at diagnosis, underwent a median of 27 anesthetic episodes (min-max, 1-37). Almost all patients were exposed to propofol (140/144, 97.2%), with a mean cumulative dose of 112.3 mg/kg. One year after therapy, the proportion of children with impairment ( Z-score ≤–1.5) was significantly higher compared with a normative sample. In covariate-adjusted multivariable analysis, cumulative exposure to propofol was associated with a 0.05 Z-score decrease in reaction time/processing speed per each 10 mg/kg propofol exposure ( P = .03). CONCLUSION In a multicenter and uniformly treated cohort of children with B-ALL, cumulative exposure to propofol was an independent risk factor for impairment in reaction time/processing speed 1 year after therapy. Anesthesia exposure is a modifiable risk, and opportunities to minimize propofol use should be considered.
Phase II Study of Erdafitinib in Patients With Tumors With FGFR Amplifications: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol K1
Authors: Gong Jun , Mita Alain C. , Wei Zihan , Cheng Heather H. , Mitchell Edith P. , Wright John J. , Ivy S. Percy , Wang Victoria , Gray Robert C. , McShane Lisa M. , Rubinstein Larry V. , Patton David R. , Williams P. Mickey , Hamilton Stanley R. , Alva Ajjai S. , Tricoli James V. , Conley Barbara A. , Arteaga Carlos L. , Harris Lyndsay N. , O'Dwyer Peter J. , Chen Alice P. , Flaherty Keith T. 
Published: April 2024

PURPOSE Despite fibroblast growth factor receptor ( FGFR) inhibitors being approved in tumor types with select FGFR rearrangements or gene mutations, amplifications of FGFR represent the most common FGFR alteration across malignancies. Subprotocol K1 (EAY131-K1) of the National Cancer Institute-MATCH platform trial was designed to evaluate the antitumor efficacy of the oral FGFR1-4 inhibitor, erdafitinib, in patients with tumors harboring FGFR1-4 amplification. METHODS EAY131-K1 was an open-label, single-arm, phase II study with central confirmation of presence of FGFR1-4 amplification in tumors. Patients with urothelial carcinoma were excluded. Enrolled patients received oral erdafitinib at a starting dose of 8 mg once daily continuously with escalation to 9 mg once daily continuously, on the basis of predefined time point assessments of phosphate levels, until disease progression or intolerable toxicity. The primary end point was centrally assessed objective response rate (ORR), with key secondary end points being 6-month progression-free survival (PFS6), PFS, overall survival (OS), and safety. RESULTS Thirty-five patients were enrolled into this study with 18 included in the prespecified primary efficacy analysis. The median age of the 18 patients was 60 years, and 78% had received ≥3 previous lines of therapy. There were no confirmed responses to erdafitinib; however, five patients experienced stable disease (SD) as best response. One patient with an FGFR1-amplified breast cancer had a prolonged PFS >168 days (5.5 months). The median PFS was 1.7 months (90% CI, 1.1 to 1.8 months) and the median OS was 4.2 months (90% CI, 2.3 to 9.3 months). The estimated PFS6 rate was 13.8% (90% CI, 3.3 to 31.6). The majority of toxicities were grade 1 to 2 in nature, although there was one grade 5 treatment-related adverse event. CONCLUSION Erdafitinib did not meet its primary end point of efficacy as determined by ORR in treatment-refractory solid tumors harboring FGFR1-4 amplifications. Our findings support that rearrangements and gene mutations, but not amplifications, of FGFR remain the established FGFR alterations with approved indications for FGFR inhibition.
Deep Learning Analysis With Gray Scale and Doppler Ultrasonography Images to Differentiate Graves’ Disease
Authors: Baek Han-Sang , Kim Jinyoung , Jeong Chaiho , Lee Jeongmin , Ha Jeonghoon , Jo Kwanhoon , Kim Min-Hee , Sohn Tae Seo , Lee Ihn Suk , Lee Jong Min , Lim Dong-Jun 
Published: April 2024

Abstract

Context
Thyrotoxicosis requires accurate and expeditious differentiation between Graves’ disease (GD) and thyroiditis to ensure effective treatment decisions.

Objective
This study aimed to develop a machine learning algorithm using ultrasonography and Doppler images to differentiate thyrotoxicosis subtypes, with a focus on GD.

Methods
This study included patients who initially presented with thyrotoxicosis and underwent thyroid ultrasonography at a single tertiary hospital. A total of 7719 ultrasonography images from 351 patients with GD and 2980 images from 136 patients with thyroiditis were used. Data augmentation techniques were applied to enhance the algorithm's performance. Two deep learning models, Xception and EfficientNetB0_2, were employed. Performance metrics such as accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score were calculated for both models. Image preprocessing, neural network model generation, and neural network training results verification were performed using DEEP:PHI® platform.

Results
The Xception model achieved 84.94% accuracy, 89.26% sensitivity, 73.17% specificity, 90.06% PPV, 71.43% NPV, and an F1 score of 89.66 for the diagnosis of GD. The EfficientNetB0_2 model exhibited 85.31% accuracy, 90.28% sensitivity, 71.78% specificity, 89.71% PPV, 73.05% NPV, and an F1 score of 89.99.

Conclusion
Machine learning models based on ultrasound and Doppler images showed promising results with high accuracy and sensitivity in differentiating GD from thyroiditis.
Dynamic Hippo pathway activity underlies mesenchymal differentiation during lung alveolar morphogenesis
Authors: Chaudhry Fatima N. , Michki Nigel S. , Shirmer Dain L. , McGrath-Morrow Sharon , Young Lisa R. , Frank David B. , Zepp Jarod A. 
Published: April 2024

ABSTRACT
Alveologenesis, the final stage in lung development, substantially remodels the distal lung, expanding the alveolar surface area for efficient gas exchange. Secondary crest myofibroblasts (SCMF) exist transiently in the neonatal distal lung and are crucial for alveologenesis. However, the pathways that regulate SCMF function, proliferation and temporal identity remain poorly understood. To address this, we purified SCMFs from reporter mice, performed bulk RNA-seq and found dynamic changes in Hippo-signaling components during alveologenesis. We deleted the Hippo effectors Yap/Taz from Acta2-expressing cells at the onset of alveologenesis, causing a significant arrest in alveolar development. Using single cell RNA-seq, we identified a distinct cluster of cells in mutant lungs with altered expression of marker genes associated with proximal mesenchymal cell types, airway smooth muscle and alveolar duct myofibroblasts. In vitro studies confirmed that Yap/Taz regulates myofibroblast-associated gene signature and contractility. Together, our findings show that Yap/Taz is essential for maintaining functional myofibroblast identity during postnatal alveologenesis.
Differences in Lymph Node Metastases Patterns Among Non-pancreatic Periampullary Cancers and Histologic Subtypes: An International Multicenter Retrospective Cohort Study and Systematic Review
Authors: Uijterwijk Bas A. , Lemmers Daniël H. , Fusai Giuseppe Kito , Zerbi Alessandro , Salvia Roberto , Sparrelid Ernesto , White Steven , Björnsson Bergthor , Mavroeidis Vasileios K. , Roberts Keith J. , Mazzola Michele , Cabús Santiago Sánchez , Soonawalla Zahir , Korkolis Dimitris , Serradilla Mario , Pessaux Patrick , Luyer Misha , Mowbray Nicholas , Ielpo Benedetto , Mazzotta Alessandro , Kleeff Jorg , Boggi Ugo , Muñoz Miguel Angel Suarez , Goh Brian K. P. , Andreotti Elena , Wilmink Hanneke , Ghidini Michele , Zaniboni Alberto , Verbeke Caroline , Adsay Volkan , Bianchi Denise , Besselink Marc G. , Abu Hilal Mohammed ,   For the International Study Group on Non-Pancreatic Periampullary Cancer (ISGACA), Nappo Gennaro , Ghorbani Poya , Malleo Giuseppe , Lancelotti Francesco , Napoli Niccolò , Robinson Stuart , Khalil Khalid , Val Alejandro Ramirez-Del , Mortimer Matthew C. M. , Al-Sarireh Bilal , Koh Ye Xin , Bhogal Ricky , Serrablo Alejandro , Gayet Brice , Johansen Karin , Ramaekers Mark , Giani Alessandro 
Published: April 2024

Abstract
Background
Standard lymphadenectomy for pancreatoduodenectomy is defined for pancreatic ductal adenocarcinoma and adopted for patients with non-pancreatic periampullary cancer (NPPC), ampullary adenocarcinoma (AAC), distal cholangiocarcinoma (dCCA), or duodenal adenocarcinoma (DAC). This study aimed to compare the patterns of lymph node metastases among the different NPPCs in a large series and in a systematic review to guide the discussion on surgical lymphadenectomy and pathology assessment.

Methods
This retrospective cohort study included patients after pancreatoduodenectomy for NPPC with at least one lymph node metastasis (2010–2021) from 24 centers in nine countries. The primary outcome was identification of lymph node stations affected in case of a lymph node metastasis per NPPC. A separate systematic review included studies on lymph node metastases patterns of AAC, dCCA, and DAC.

Results
The study included 2367 patients, of whom 1535 had AAC, 616 had dCCA, and 216 had DAC. More patients with pancreatobiliary type AAC had one or more lymph node metastasis (67.2% vs 44.8%; P < 0.001) compared with intestinal-type, but no differences in metastasis pattern were observed. Stations 13 and 17 were most frequently involved (95%, 94%, and 90%). Whereas dCCA metastasized more frequently to station 12 (13.0% vs 6.4% and 7.0%, P = 0.005), DAC metastasized more frequently to stations 6 (5.0% vs 0% and 2.7%; P < 0.001) and 14 (17.0% vs 8.4% and 11.7%, P = 0.015).

Conclusion
This study is the first to comprehensively demonstrate the differences and similarities in lymph node metastases spread among NPPCs, to identify the existing research gaps, and to underscore the importance of standardized lymphadenectomy and pathologic assessment for AAC, dCCA, and DAC.
Effects of Cover Crop and Filter Strips on Sediment and Nutrient Loads Measured at the Edge of a Commercial Cotton Field
Authors: Thapa Arjun , Aryal Niroj , Reba Michele L. , Teague Tina Gray , Payne Geoffrey K. , Pieri Anna 
Published: April 2024

HighlightsWinter cover crops and growing season filter strips were implemented without sacrificing significant land and achieved positive results. Cover crops reduced runoff depth, peak flow rate, sediment, TP, and TN load by 30%, 49%, 43%, 4%, and 7%, respectively.Filter strips reduced runoff depth, peak flow rate, sediment, TP, and TN load by 36%, 49%, 56%, 15%, and 21%, respectively.Abstract. Effective use of conservation practices in agricultural fields can reduce sediment and other pollutant loads entering waterways. In this study, we evaluated the effectiveness of using cover crops and filter strips on sediment and nutrient loss at the edge of paired, 7.83 ha (19.35 ac), commercial cotton fields in the Lower Mississippi River Basin (LMRB) in northeastern Arkansas. Cover crops included winter wheat, black oat, and ryegrass seeded in the winter fallow period, while filter strips included a grassy turn row at the field border and switchgrass transplanted around the drainage pipe at the edge of the treatment field. The field border of the control field was generally free from vegetation. A monitoring system measured discharge and collected composite water samples from rainfall and irrigation runoff events. Water samples were analyzed for phosphate (PO4-P), total phosphorus (TP), nitrate (NO3-N), ammonium (NH4-N), total nitrogen (TN), and suspended sediment concentrations. Data were collected from 2015 to 2020. Baseline data were collected when both fields had similar conservation practices (i.e., no cover crops in 2015 and no filter strips in 2015 and 2016). A comparison of 66 common runoff events between the control and cover crop treatment fields during the non-growing season indicated that the median peak flow and sediment loads were significantly reduced (p &lt; 0.05), with an average reduction of 49% and 43%, respectively. Similarly, a comparison of 55 common runoff events between the control and filter strips treatment fields during the growing season found that the filter strips reduced significantly with average runoff by 36%, peak flow by 49%, and sediment loads by 56% (p &lt; 0.05). Nutrient load reductions by the cover crop and filter strip treatments were not significantly different than by the control (p &gt; 0.05). However, mean PO4-P, TP, NO3-N, NO2-N, NH4-N, and TN loads in the cover crop treatment field were lower than in the control field by 21%, 4%, 9%, 4%, 17%, and 7%, respectively. Similarly, mean PO4-P, TP, NO3-N, NH4-N, and TN loads in the filter strip treatment field were lower than in the control field by 23%, 15%, 11%, 42%, and 21%, respectively. The results demonstrated runoff depth, peak flow rate, nutrients, and sediment load reductions following the implementation of cover crops and filter strips at the commercial field scale. Keywords: Agricultural conservation practices, BMPs, Cotton, Cover crop, Edge-of-field monitoring, Filter strips, Switch grass.
AFC-ResNet18: A Novel Real-Time Image Semantic Segmentation Network for Orchard Scene Understanding
Authors: Zhang Jian , Yang Jingwei , An Ting , Wu Pengxin , Ma Chen , Zhang Cong , Zhao Ying , Wang Lihong , Li Chengsong 
Published: April 2024

HighlightsA novel real-time image semantic segmentation network for orchards, termed AFC-ResNet18, was designed and tested.The AFC-ResNet18 model outperformed the SwiftNet network in terms of segmentation depth.The AFC-ResNet18 model achieved the highest accuracy in the architecture performance testing.The AFC-ResNet18 model won first place in the orchard scene test with 72.5% accuracy. Abstract. Semantic segmentation is a fundamental prerequisite for the real-time understanding of scenes. This understanding is essential for developing automated devices that can enhance productivity. Orchards, being labor-intensive and time-consuming workplaces, urgently require automated equipment to boost efficiency. Therefore, the objective of this article is to develop a real-time image semantic segmentation network tailored for orchard environments. This development aims to offer significant new insights into the design of automated maintenance and harvesting equipment. Based on ResNet, the 2015 classification champion network, a novel real-time image semantic segmentation network termed AFC-ResNet18, which used an attentional feature complementary module (AFC) to fuse RGB and depth image information, was designed and systematically tested. Interestingly, in the segmentation ability tests, the AFC-ResNet18 model outperformed the SwiftNet network in terms of segmentation depth. Surprisingly, in the architecture performance testing, the AFC-ResNet18 model achieved the highest accuracy. Noteworthily, in the orchard scene test, the AFC-ResNet18 model won first place with 72.5% accuracy. Predictably, these findings may accelerate the development of novel automated equipment to maintain the orchard worldwide, especially AFC-ResNet18 based robots. Keywords: Attentional feature complementary module, Orchard, Real-time, Robots, Semantic segmentation.