bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep CANALs: a deep learning approach to refining the canalization theory of psychopathology
Authors: Juliani Arthur , Safron Adam , Kanai Ryota 
Published: March 2024

Abstract
Psychedelic therapy has seen a resurgence of interest in the last decade, with promising clinical outcomes for the treatment of a variety of psychopathologies. In response to this success, several theoretical models have been proposed to account for the positive therapeutic effects of psychedelics. One of the more prominent models is “RElaxed Beliefs Under pSychedelics,” which proposes that psychedelics act therapeutically by relaxing the strength of maladaptive high-level beliefs encoded in the brain. The more recent “CANAL” model of psychopathology builds on the explanatory framework of RElaxed Beliefs Under pSychedelics by proposing that canalization (the development of overly rigid belief landscapes) may be a primary factor in psychopathology. Here, we make use of learning theory in deep neural networks to develop a series of refinements to the original CANAL model. Our primary theoretical contribution is to disambiguate two separate optimization landscapes underlying belief representation in the brain and describe the unique pathologies which can arise from the canalization of each. Along each dimension, we identify pathologies of either too much or too little canalization, implying that the construct of canalization does not have a simple linear correlation with the presentation of psychopathology. In this expanded paradigm, we demonstrate the ability to make novel predictions regarding what aspects of psychopathology may be amenable to psychedelic therapy, as well as what forms of psychedelic therapy may ultimately be most beneficial for a given individual.
The human MIF polymorphism CATT7 enhances pro‐inflammatory macrophage polarization in a clinically relevant model of allergic airway inflammation
Authors: Dunbar Hazel , Hawthorne Ian J. , McNamee Eóin N. , Armstrong Michelle E. , Donnelly Seamas C. , English Karen 
Published: March 2024

AbstractHigh level expression of the pro‐inflammatory cytokine macrophage migration inhibitory factor (MIF) has been associated with severe asthma. The role of MIF and its functional promotor polymorphism in innate immune training is currently unknown. Using novel humanized CATT7 MIF mice, this study is the first to investigate the effect of MIF on bone marrow‐derived macrophage (BMDM) memory after house dust mite (HDM) challenge. CATT7 BMDMs demonstrated a significant primed increase in M1 markers following HDM and LPS stimulation, compared to naive mice. This M1 signature was found to be MIF‐dependent, as administration of a small molecule MIF inhibitor, SCD‐19, blocked the induction of this pro‐inflammatory M1‐like phenotype in BMDMs from CATT7 mice challenged with HDM. Training naive BMDMs in vitro with HDM for 24 h followed by a rest period and subsequent stimulation with LPS led to significantly increased production of the pro‐inflammatory cytokine TNFα in BMDMs from CATT7 mice but not WT mice. Addition of the pan methyltransferase inhibitor MTA before HDM training significantly abrogated this effect in BMDMs from CATT7 mice, suggesting that HDM‐induced training is associated with epigenetic remodelling. These findings suggest that trained immunity induced by HDM is under genetic control, playing an important role in asthma patients with the high MIF genotypes (CATT6/7/8).
The DNP project
Authors: Melander Sheila , Hampton Debra , Makowski Andrew , Falls Candice , Tovar Elizabeth 
Published: March 2024

Abstract:
Twenty years ago, pioneer Doctor of Nursing Practice (DNP) program students completed the first DNP projects. Today, DNP projects remain a requirement for graduation. This article illustrates how the DNP project can be integrated throughout the DNP curriculum to maximize effectiveness and promote the introduction, reinforcement, and evaluation of competencies in the new American Association of Colleges of Nursing Essentials.
Predictive Value of Carotid-femoral Pulse Wave Velocity for Major Adverse Cardiovascular Events and All-cause Mortality in Different Age Groups of a Chinese Community
Authors: Zheng Jin , Wang Xiaona , Mao Li , Ye Ping 
Published: March 2024

Objective:
To investigate the predictive value of carotid-femoral pulse wave velocity (cf-PWV) for assessing major adverse cardiovascular events (MACE) and all-cause mortality in different age groups of a Chinese community.

Methods:
This is an observational study which enrolled 1,325 individuals from a community in Beijing from September 2007 to October 2018. They were classified based on age into <65-year-old (n = 572) and ≥65-year-old (n = 753) groups, and on cf-PWV into cf-PWV <12 m/s (n = 501) and cf-PWV≥12 m/s (n = 824) group. The incidence rates of MACE and all-cause mortality were recorded for both the groups during the follow-up period of 9.5 years. The predictive value of cf-PWV for MACE and all-cause mortality in the 2 age groups was estimated using the Cox proportional hazards regression models.

Results:
The baseline cf-PWV showed positive correlation with age (r = 0.462, P < 0.001). During the follow-up period, 191 MACE and 84 all-cause mortality cases were recorded in the study population. The incidence rates of MACE (χ
2 = 27.196, P < 0.001) and all-cause mortality (χ
2 = 9.473, P = 0.002) were significantly higher in subjects with cf-PWV ≥12 m/s than in subjects with cf-PWV <12 m/s. Cox proportional hazards regression model analyses demonstrated that cf-PWV was an independent risk factor in the <65-year-old group for MACE (hazard ratio: 1.310; 95% confidence interval: 1.007–1.560; P = 0.038) and all-cause mortality (hazard ratio: 1.412; 95% confidence interval: 1.133–1.936; P = 0.005) after adjusting for several risk factors. However, both univariate and multivariate analyses demonstrated that cf-PWV was not an independent risk factor for MACE or all-cause mortality in the ≥65-year-old group (P > 0.05).

Conclusion:
cf-PWV, a measure of arterial stiffness, emerged as an independent risk factor for MACE and all-cause mortality in subjects below 65 years of age.
Cutaneous Angiosarcoma Subtypes: A Quantitative Systematic Review of Demographics, Treatments, and Outcomes Within Published Patient-Level Cases
Authors: Kwapnoski Zachary , Clarey Dillon , Ma Jihyun , Schmidt Cynthia M. , Wysong Ashley 
Published: March 2024

BACKGROUND
Cutaneous angiosarcoma (cAS) is a highly aggressive malignancy arising from the vascular endothelium. Given its rarity, there is insufficient data detailing patient demographics, management, and survival outcomes.

OBJECTIVE
To systematically compile published patient-level cases of cAS and to quantify and analyze data on demographics, management, and outcomes while determining prognostic indicators.

MATERIALS AND METHODS
Searches of EBSCOhost, MEDLINE, EMBASE, and the Cochrane Library generated 1,500 cases of cAS with individual level data available. PRISMA guidelines were followed.

RESULTS
Cutaneous angiosarcoma presented most often on the scalp of elderly men. Metastasis occurred in 36.3% of cases. Aggregate 5-year survival was 31.6% with the median survival of 25 months. The best 5-year survival was in the radiation-associated subtype (48.8%), whereas the worst was in the Stewart–Treves subtype (21.6%). Using multivariate analysis, gender, age group, disease subtype, treatment modality, and metastasis at presentation had significant effects on survival outcomes (p < .05).

CONCLUSION
The breadth of information obtained enables this study to serve as a resource that clinicians may reference when they encounter cAS.
Rapid intervention team strategy improves intervention quality for patients undergoing hemodialysis with arteriovenous shunt dysfunction or failure
Authors: Wang Szu-Han , Ko Chih-Chang , Kuo Yi-Ling , Chiu Yu-Wen , Wen Jih-Sheng , Wang Ming-Cheng , Chao Ting-Hsing , Chang Hsien-Yuan 
Published: March 2024

Background:
Vascular access dysfunction is a great burden for hemodialysis patients. Early intervention of a dysfunctional arteriovenous shunt is associated with higher technical success and may improve midterm patency. This trial aimed to estimate the feasibility of a new system, the “rapid intervention team” (RIT) strategy.

Methods:
We recruited hemodialysis patients who visited our hospital because of arteriovenous shunt dysfunction or failure to undergo an RIT strategy from September 1, 2019 to December 31, 2022. In addition, we included a control group comprising patients who underwent percutaneous intervention for arteriovenous shunt dysfunction or failure before this strategy was implemented from February 1, 2017 to December 31, 2022. Case number, time to intervention, all-cause mortality, cumulative survival rate, and number of patients who required temporary dialysis catheter insertion and recreation were compared between the two groups. The primary endpoints were double-lumen insertion, a composite outcome involving permanent catheter insertion, and the need for recreation. The secondary endpoint was all-cause mortality.

Results:
We enrolled 1054 patients, including 544 (51.6%) and 510 (48.4%) in the RIT and control groups, respectively. Even with the coronavirus disease of 2019 (COVID-19) pandemic, the number of cases significantly increased after the implementation of the RIT strategy (from 216 in 2019 to 828 in 2022, p for trend <0.001). The RIT group had a shortened time to intervention (p for trend <0.001). The implementation of the RIT strategy was significantly associated with a reduced risk of insertion of a temporary double-lumen catheter and recreation of vascular access (1% vs 6% and 1% vs 28%, respectively; both p < 0.01). The cumulative survival rate was not significantly different between the RIT and control groups (p = 0.16).

Conclusion:
The implementation of the RIT strategy improves the quantity and quality of percutaneous transluminal intervention for arteriovenous shunt dysfunction or failure in patients undergoing hemodialysis.
Connor-Davidson Resilience Scale: a systematic review psychometrics properties using the COSMIN
Authors: Sharif-Nia Hamid , Sánchez-Teruel David , Sivarajan Froelicher Erika , Hejazi Sima , Hosseini Lida , Khoshnavay Fomani Fatemeh , Moshtagh Mozhgan , Mollaei Fereshteh , Goudarzian Amir Hossein , Babaei Amir 
Published: March 2024

Background:
Psychometrical evaluation of persons of diverse contexts and different populations, including general or clinical.

Objective:
This review study aimed to evaluate the psychometrics quality of resilience scales.

Methods:
International and Iranian databases were searched with MESH terms, including “psychometric”, “validity”, “reliability”, “Connor-Davidson resilience scale”, “Resilience scale”, for published articles up to 1 February 2023. For each of the selected studies, the risk of bias was evaluated using the COSMIN Risk of Bias Checklist. Then the COSMIN checklist was used to evaluate the entire text of the article for methodological quality.

Results:
Considering the inclusion criteria, 80 documents were evaluated. According to the COSMIN’s criteria for evaluating the risk of bias, the current study findings revealed the included studies’ limitations in assessing the three versions of CD-RISC cross-cultural and content validity as well as their stability (e.g. conducting test re-test), whereas the majority of psychometric studies of CD-RISC-25, and CD-RISC-2 rated as very good or adequate in terms of structural validity. In terms of quality assessment of the included studies, the current study indicated that investigating the structural validity of the CD-RISC was mainly done based on exploratory factor analysis (EFA), and confirmatory factor analysis was absent.

Conclusion:
The general result indicates the acceptability of the quality of the studies. However, concerns for measurement properties such as responsiveness and criterion validity as well as the standard error of measurement have been neglected.
A comparative study of plant phenotyping workflows based on three-dimensional reconstruction from multi-view images
Authors: Daiki Someno , Noshita Koji 
Published: March 2024

AbstractWith the world facing escalating food demand, limited agricultural land, and rapid environmental change, there is a growing need for data-driven sustainable agricultural management approaches. The proliferation of next-generation sequencers and sensor networks has reduced the cost of acquiring genomic and environmental data, respectively. However, collecting phenotypic data, which is crucial for monitoring plant growth trajectories and detecting pests and diseases, continues to be a labor-intensive endeavor. Technological advances have enabled an efficient collection of three-dimensional (3D) data, yet this process currently involves a set of intricate steps. Therefore, the development of an effective phenotyping method is essential. In this study, we developed a phenotyping process based on 3D reconstruction, including mask image generation using deep neural network models, 3D reconstruction using the Structure from Motion/Multi-View Stereo (SfM/MVS) pipeline, and leaf surface reconstruction for leaf area estimation. Our investigation using soybean datasets into the optimal magnification for input images in mask generation models revealed that a 1/5.4× magnification was most effective for segmenting thin structures. Using mask images in the SfM/MVS pipeline limited the region of interest, and this could decrease the processing time and improve the quality of the point-cloud data. We assessed four scenarios regarding mask image usage and found that the scenario that set the mask images of soybeans and stages before SfM and soybeans only after SfM yielded the highest-quality point-cloud data and was the second fastest in processing. Finally, we compared the Poisson reconstruction and B-spline surface fitting for leaf surface reconstruction from point clouds. B-spline fitting shows a greater correlation with destructive measurements. We proposed an optimal workflow for estimating leaf area based on these results. Additionally, to contribute to the development of plant phenotyping methods, we provided a web application for mask generation, a command-line tool for leaf surface reconstruction, and validation datasets.
Modeling Molecular Mechanisms of Pirfenidone Interaction with Kinases
Authors: Wijewardhane Prageeth R. , Wells Adrienne , Muhoberac Matthew , Leung Kai P. , Chopra Gaurav 
Published: March 2024

AbstractScar formation is a process that occurs due to increased collagen deposition and uncontrolled inflammation. Previous studies have demonstrated that Pirfenidone (Pf), an FDA approved anti-inflammatory and anti-fibrotic drug can reduce inflammationin vivoas well as regulate activation of LPS-stimulated neutrophils. However, the molecular level mechanism of Pf’s action is not well understood. Here, we used neural networks to identify new targets and molecular modeling methods to investigate the Pf’s action pathways at the molecular level that are related to its ability to reduce both the inflammatory and remodeling phases of the wound healing process. Out of all the potential targets identified, both molecular docking and molecular dynamics results suggest that Pf has a noteworthy binding preference towards the active conformation of the p38 mitogen activated protein kinase-14 (MAPK14) and it is potentially a type I inhibitor-like molecule. In addition to p38 MAPK (MAPK14), additional potential targets of Pf include AKT1, MAP3K4, MAP2K3, MAP2K6, MSK2, MAP2K2, ERK1, ERK2, and PDK1. We conclude that several proteins/kinases, rather than a single target, are involved in Pf’s wound healing ability to regulate signaling, inflammation, and proliferation.
Unveiling lipid chemodiversity in root exudates: A comprehensive characterization of the exudate metabo-lipidome in a perennial grass
Authors: Couvillion Sneha P. , Yang Isabella H. , Hermosillo Dylan , Eder Josie , Bell Sheryl , Hofmockel Kirsten S. 
Published: March 2024

AbstractThe rhizosphere, where plant roots meet soil, is a hub of biogeochemical activity with ecosystem impacts on carbon stocks. Root derived carbon has been found to contribute more to soil carbon stocks than aboveground litter. Nonetheless, the molecular chemodiversity of root exudates remains poorly understood due to limited characterization and annotation. Here our goal was to discover the molecular chemodiversity of metabolites and lipids in root exudates to advance our understanding of plant root inputs belowground. We worked with mature, field-grown tall wheatgrass (Thinopyrum ponticum) and optimized exudate collection protocols to enable the capture of non-polar lipids in addition to polar and semi-polar metabolites. Rates of carbon input via hydrophobic exudates were approximately double that of aqueous exudates and carbon/nitrogen ratios were markedly higher in hydrophobic compared to aqueous exudates, emphasizing the importance of lipids, due to their high carbon content. To maximize molecular coverage of exudate chemodiversity, we used liquid chromatography coupled tandem mass-spectrometry for paired untargeted metabolomics and lipidomics or ‘metabo-lipidomics’. We substantially increased the characterization of exudate chemodiversity by employing both tandem mass spectral library searching and deep learning-based chemical class assignment. Notably, in this unprecedented characterization of intact lipids in root exudates, we discovered a diverse variety of lipids, including substantial levels of triacylglycerols (∼19 μg/g fresh root per min), fatty acyls, sphingolipids, sterol lipids, and glycerophospholipids. Comparison of the root exudate and tissue lipidomes revealed minimum glycerophospholipids in exudates, suggesting the exudate protocol did not extract lipids from root cell membranes.
An atlas ofBrachypodium distachyonlateral root development
Authors: De Jesus Vieira Teixeira Cristovao , Bellande Kevin , van der Schuren Alja , O’Connor Devin , Hardtke Christian S. , Vermeer Joop EM 
Published: March 2024

AbstractThe root system of plants is a vital part for successful development and adaptation to different soil types and environments. Besides allowing exploration of the soil for water and nutrients, it also provides anchorage. A major determinant of the shape of a plant root system is the formation of lateral roots, allowing for expansion of the root system.Arabidopsis thaliana, with its simple root anatomy, has been extensively studied to reveal the genetic program underlying root branching. However, to get a more general understanding of lateral root development, comparative studies in species with a more complex root anatomy are required.Brachypodium distachyonis a wild, temperate grass species, that is related to important crops such as wheat. Its roots contain multiple cortex layers and an exodermis that functions as an additional root barrier, besides the endodermis. Here, by combining optimized clearing methods and histology, we describe an atlas of lateral root development in Brachypodium. We show that lateral roots initiate from enlarged phloem pole pericycle cells and that the overlying endodermis reactivates its cell cycle and eventually forms the root cap. In addition, auxin signaling reported by the DR5 reporter was not detected in the phloem pole pericycle cells or young primordia. In contrast, auxin signaling was activated in the overlying cell cortical layers, including the exodermis. Thus, Brachypodium is a valuable model to investigate how signaling pathways and cellular responses have been repurposed to facilitate lateral root organogenesis.
Uncovering the role of principals in enhancing teacher professional learning in a centralized education system
Authors: Abbaspour Fatemeh , Hosseingholizadeh Rezvan , Bellibaş Mehmet Şükrü 
Published: March 2024

PurposeCurrent school leadership research has primarily utilized quantitative methods to explore the relationship between leadership and teacher learning. However, there is a notable gap in understanding how principals facilitate professional learning, especially in centralized educational settings. This study aims to address this gap by examining the role of school leadership in enhancing teacher professional learning within a highly centralized education system.Design/methodology/approachThis qualitative case study delves into the lived experiences of 15 teachers and eight school leaders in eight primary schools in Mashhad, Iran. Through semistructured interviews, researchers employed open and axial coding to systematically explore and categorize qualitative data. The study focuses on understanding the role of principal leadership in facilitating teacher professional learning by connecting themes and sub-themes across transcripts.FindingsEffective principals worked on the cultivation of a culture that champions perpetual personal growth and development, the nurturing of a collaborative learning community, and the provision of essential resources and support. Findings showed the pivotal role of principals in promoting teachers' self-development, facilitating idea exchange and acknowledging their efforts. Principals appeared as key to encouraging information sharing, fostering collective learning, promoting professional development, overseeing teaching practices and ensuring the availability of resources to cultivate a supportive climate in a centralized education context.Originality/valueWe concluded that in centralized education, leadership practices for promoting teacher learning share similarities and differences with decentralized settings. The findings offer guidance for principals in centralized systems, supporting them in facilitating teacher professional learning in their schools.
Does public debt moderate government spending – informal economy nexus? Evidence from the Asian countries
Authors: Tran Pham Toan Khanh , Nguyen Le Quyen Hoang Thuy To 
Published: March 2024

PurposeThe purpose of this study is to explore the relationship between government spending, public debt and the informal economy. In addition, this paper investigates the moderating role of public debt in government spending and the informal economy nexus.Design/methodology/approachBy utilizing a data set spanning from 2000 to 2017 of 32 Asian economies, the study has employed the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). The study is also extended to consider the marginal effects of government spending on the informal economy at different degrees of public debt.FindingsThe results indicate that an increase in government spending and public debt leads to an expansion of the informal economy in the region. Interestingly, the positive effect of government spending on the informal economy will increase with a rise in public debt.Originality/valueThis study stresses the role of government spending and public debt on the informal economy in Asian nations. To the best of the authors' knowledge, this study pioneers to explore the moderating effect of public debt in the public spending-informal economy nexus.