In a scientific context, a suitable color choice is more than simple decoration. Color handling, as part of scientific visualization, is a scientific methodology that is one of the most widely used, given the importance of figures and images in conveying results. Yet, an expert-level understanding and application of proper scientific coloring is rare. Here, a concise overview of important color tools is provided and complemented by ready-to-apply resources for using color in science research, publishing, communication, tool development, editing, and teaching. This overview offers a guide to spot problems, master the methodology, and support accessible and accurate use of color for science figures in both short and long terms. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.

BACKGROUND: Leveraging electronic health record (EHR) data for clinical or research purposes heavily depends on data fitness. However, there is a lack of standardized frameworks to evaluate EHR data suitability, leading to inconsistent quality in data use projects (DUPs). This research focuses on the Medical Informatics for Research and Care in University Medicine (MIRACUM) Data Integration Centers (DICs) and examines empirical practices on assessing and automating the fitness-for-purpose of clinical data in German DIC settings.
OBJECTIVE: The study aims (1) to capture and discuss how MIRACUM DICs evaluate and enhance the fitness-for-purpose of observational health care data and examine the alignment with existing recommendations and (2) to identify the requirements for designing and implementing a computer-assisted solution to evaluate EHR data fitness within MIRACUM DICs.
METHODS: A qualitative approach was followed using an open-ended survey across DICs of 10 German university hospitals affiliated with MIRACUM. Data were analyzed using thematic analysis following an inductive qualitative method.
RESULTS: All 10 MIRACUM DICs participated, with 17 participants revealing various approaches to assessing data fitness, including the 4-eyes principle and data consistency checks such as cross-system data value comparison. Common practices included a DUP-related feedback loop on data fitness and using self-designed dashboards for monitoring. Most experts had a computer science background and a master\'s degree, suggesting strong technological proficiency but potentially lacking clinical or statistical expertise. Nine key requirements for a computer-assisted solution were identified, including flexibility, understandability, extendibility, and practicability. Participants used heterogeneous data repositories for evaluating data quality criteria and practical strategies to communicate with research and clinical teams.
CONCLUSIONS: The study identifies gaps between current practices in MIRACUM DICs and existing recommendations, offering insights into the complexities of assessing and reporting clinical data fitness. Additionally, a tripartite modular framework for fitness-for-purpose assessment was introduced to streamline the forthcoming implementation. It provides valuable input for developing and integrating an automated solution across multiple locations. This may include statistical comparisons to advanced machine learning algorithms for operationalizing frameworks such as the 3×3 data quality assessment framework. These findings provide foundational evidence for future design and implementation studies to enhance data quality assessments for specific DUPs in observational health care settings.

UNASSIGNED: The global incidence of neurological diseases has been on the rise, creating an urgent need for a validated marker. Neurofilament Light Chain (NfL) holds promise as such a marker and has garnered significant attention in the field of neurological diseases over the past decades.
UNASSIGNED: Corresponding articles from 2013 to 2023 were collected from the Web of Science database, and data were analyzed by CiteSpace and VOSviewer software.
UNASSIGNED: A total of 1350 articles were collected from 296 countries/regions, involving 7246 research organizations. Since 2013, among the top ten institutions and authors with the highest number of published papers, the most are from the US and the UK. The United States leads in the number of published papers, but England holds a more momentous position, because it has higher IF. Henrik Zetterberg is the most influential scholar in the field.
UNASSIGNED: The output of papers mainly relies on researchers from developed countries, and scholars from the United States and England have contributed the largest number of papers. Until now, the importance of NfL in neurological diseases has attracted global attention. In addition, NfL contributes to the potential diagnosis of various neurological disorders and can be used to improve the accuracy of differential diagnosis and prognostic assessment as well as predict the response to treatments. More and more in-depth studies are highly needed in the future.

UNASSIGNED: Malignant tumors of the digestive system pose a serious threat to human health due to their highly malignant nature. Depression, as the most common psychiatric symptom of digestive system tumors, has attracted much attention regarding its potential relationship with these tumors. A thorough investigation into the connection between digestive system tumors and depression is extremely important for strengthening patients\' quality of life and treatment outcomes.
UNASSIGNED: From 2014 to 2023, we conducted a literature search using specific keywords in the Web of Science Core Collection (WoSCC) and performed visual analysis of the selected literature using Microsoft Excel, CiteSpace, and VOSviewer software. In this study, we analyzed countries, institutions, authors, journals, and keywords.
UNASSIGNED: A total of 384 research articles on the relationship between digestive system tumors and depression were identified. The number of publications showed a gradual increase over time. In terms of disciplinary distribution, Oncology, Health Care Sciences Services, and Medicine General Internal ranked top in terms of publication volume. In terms of geographical distribution, China and the United States were the countries contributing the most publications. Additionally, Maastricht University contributed the most publications. Regarding authors, Beekman, Aartjan T.F. and Dekker, Joost had the highest number of publications, while Zigmond, A.S. had the most citations. It is worth mentioning that Supportive Care in Cancer was the journal with the most publications in this field. In terms of keyword analysis, research mainly focused on mechanisms and treatment strategies related to the relationship between digestive system tumors and depression.
UNASSIGNED: The relationship between digestive system tumors and depression has become a new research hotspot in recent years, offering new directions for future research. This research reveals novel perspectives on comprehending the connection between the two, which can guide future research and practice.

High-throughput and low-cost quantification of the nutrient content in crop grains is crucial for food processing and nutritional research. However, traditional methods are time-consuming and destructive. A high-throughput and low-cost method of quantification of wheat nutrients with VIS-NIR (400-1700 nm) hyperspectral imaging is proposed in this study. Stepwise linear regression (SLR) was used to predict hundreds of nutrients accurately (R2 > 0.6); results improved when the hyperspectral data was processed with the first derivative. Knockout materials were also used to verify their practical application value. Various nutrients\' characteristic wavelengths were mainly concentrated in the visible regions of 400-500 nm and 900-1000 nm. Finally, we proposed an improved pix2pix conditional generative network model to visualize the nutrients distribution and showed better results compared with the original. This research highlights the potential of hyperspectral technology in high-throughput and non-destructive determination and visualization of grain nutrients with deep learning.

The detrimental growth of water pollutants such as heavy metals has become a life-threatening problem in the modern era. Challenges remain in the development of rapid and accurate methods for detecting pentavalent arsenic [As(V)] in environmental water. The octahedral Mn3O4 nanoparticles (NPs) did not display excellent laccase-mimicking catalytic activity, whereas the adsorbed As(V) on the surface significantly enhanced the catalytic activity. Meanwhile, the quinone imine generated from the substrates 2,4-dichlorophenol (2,4-DP) and 4-aminoantipyrine (4-AAP) catalyzed by octahedral Mn3O4 NPs further quenched the carbon dots fluorescence. Thus, it is possible to establish a fast and accurate dual-mode sensor for detecting As(V). The developed dual-mode method of As(V) detection has good sensitivity and selectivity. The limit of detection for As(V) in colorimetric mode is 6.96 μg·L-1, whereas in the fluorescent mode, it is as low as 2.56 μg·L-1. Moreover, the detection data obtained by the dual-mode method can be validated by each other, thereby ensuring the dependability of the sensing system. The constructed dual-mode method with merits of sensitivity, speed and accuracy can offer a powerful tool for As(V) detection in environmental water. Furthermore, the application of laccase-mimicking activity in dual-mode detection provides new strategies for other environmental hazard detection.

Simulation-based robotic surgery training may help surgeons gain operative skills and experience in the simulation environment. This bibliometric analysis examined the development of simulation-based training for robotic surgical education. Articles pertaining to robotic surgical simulation training that were included in the Web of Science Core Collection up to April 25, 2024, were included. The temporal patterns in published paper numbers were evaluated using Microsoft Excel software, and the data regarding co-authorship and keyword co-occurrence were analyzed and visualized using the VOSviewer and SCImago Graphica tools. A total of 594 papers on simulation-based training for robotic surgical education were evaluated in this study. The United States and United Kingdom were the leading contributors in this field. The most published authors were Professor Ahmed Kamran (23 publications) and Prokar Dasgupta (22 publications). The highest number of papers was published in the journal titled \"Surgical Endoscopy and Other Interventional Techniques.\" The most common keywords were \"virtual reality,\" \"curriculum,\" \"robotic surgery simulator,\" \"assessment,\" and \"learning curve.\" Our study offers a detailed overview of international research on simulation-based training for robotic surgical education, including the publishing countries, institutions, authors, journals, and research hotspots. It also methodically summarizes the state of knowledge in the area, and provides definite directions and concepts for further in-depth analysis.

Anthracnose caused by Colletotrichum spp. is a widespread fungal disease that is detrimental to tobacco growth and inflicts economic damage up to 100 million in tobacco-growing regions in China. An early diagnostic tool is vital for the accurate determination and management of anthracnose in the field. This study investigated the diversity of Colletotrichum spp. on tobacco leaves with anthracnose and developed a recombinase polymerase amplification-lateral flow dipstick (RPA-LFD) diagnostic method for the rapid and equipment-independent detection of the main Colletotrichum spp. causing tobacco anthracnose. This assay targeted the chitin synthase gene (chs1) and could be performed in a few minutes (6-10 min). All isolates of C. kastii, C. fructicola and C. gloeosporioides yielded positive results using the RPA-LFD assay, and no cross-reaction occurred with other fungal species from tobacco or other hosts. The detection threshold was 1 pg of genomic DNA under optimal reaction conditions. The entire RPA-LFD assay enabled the detection of pathogen visualization within 30 min without specialized equipment by combining a polyethylene glycol-KOH method for extracting DNA rapidly from tobacco leaves infected with C. kastii, C. fructicola and C. gloeosporioides. Based on these results, the RPA-LFD assay is easy to operate, rapid and equipment independent and is promising for development as a kit to diagnose tobacco anthracnose in resource-limited settings at point-of-care.

UNASSIGNED: Refractory gastroesophageal reflux disease (refractory GERD) is a heterogeneous disease characterized by unresponsiveness or poor efficacy to proton-pump inhibitors (PPIs). This chronic disorder substantially weakens patients\' mental wellbeing and quality of life, increasing the financial burden on society. Multiple articles have been reported in this area. However, literature involving scientometric analysis of refractory GERD is absent. Therefore, it is necessary to understand the evolution of research themes and the main hotspots of refractory GERD through bibliometric methods.
UNASSIGNED: All documents related to refractory GERD based on the WOS Core Collection from January 2000 to November 2023 were selected for analysis. Citespace V 6.1 R6, VOSviewer V 1.6.20, and Scimago Graphica V 1.0.38 were used to perform bibliometric analysis.
UNASSIGNED: We collected a total of 241 research articles from 36 countries and 322 institutions, contributed by over 1,000 authors. Over the last 20 years, the number of articles in this field has increased year by year, and since 2011, the number of publications has increased dramatically, with 85.89% of the papers. These countries are led by the United States and Japan. GUT had the highest number of citations and DIGESTION had the highest number of publications. Research on standardized diagnosis and management, mechanisms, novel monitoring methods, and innovative drugs and procedures for refractory GERD are the main topics and hotspots in this field. This study also found that neuroimmune interaction is closely related to refractory GERD, which may be a new direction for future mechanism research.
UNASSIGNED: Our study is the first bibliometric analysis of the global literature on refractory GERD. This research provides valuable insights for researchers, enabling them to quickly understand the research frontier and hot topics of this field.

The life cycle of genome builds spans interlocking pillars of assembly, annotation, and comparative genomics to drive biological insights. While tools exist to address each pillar separately, there is a growing need for tools to integrate different pillars of a genome project holistically. For example, comparative approaches can provide quality control of assembly or annotation; genome assembly, in turn, can help to identify artifacts that may complicate the interpretation of genome comparisons. The JCVI library is a versatile Python-based library that offers a suite of tools that excel across these pillars. Featuring a modular design, the JCVI library provides high-level utilities for tasks such as format parsing, graphics generation, and manipulation of genome assemblies and annotations. Supporting genomics algorithms like MCscan and ALLMAPS are widely employed in building genome releases, producing publication-ready figures for quality assessment and evolutionary inference. Developed and maintained collaboratively, the JCVI library emphasizes quality and reusability.