Naming Conventions Research Articles

Understanding Names: A Comparative Study of Vietnamese and Chinese Naming Structure

This study examines naming practices in Vietnamese and Chinese cultures through a comparative analysis of 10,022 contemporary names (5,004 Vietnamese and 5,018 Chinese) collected from institutions and universities. By applying the mixed-methods analysis, we aim to identify the structural patterns, differences by gender, and variations by region in the naming conventions and take socio-cultural factors into account. The findings indicate significant differences in the culture’s perspective of tradition and modernity between the two cultures. The Vietnamese names are more traditional in their structure as 71.7% of the names had a three-component structure, and the middle names helped in distinguishing between the genders. The Chinese names are more flexible in their structure, and there is no clear distinction in gender. Regional analysis indicated a significant north-south gradient in traditional structure adherence (North Vietnam: 78.3%, South Vietnam: 65.2%; East China: 71.5%, South China: 58.9%) and pronounced urban-rural differences in naming complexity (15.3% difference in Vietnam, 12.7% in China). The results of statistical analysis show that there is a strong association between cultural background and name structure (χ2 = 876.43, p < 0.001), and specifically with the gender marking patterns (Vietnamese: β = 0.847, p < 0.001; Chinese: β = 0.124, p = 0.286). The findings have implications for onomastics as they show how naming practices can be used as cultural resources to maintain and transform social identities. The findings also offer practical applications for those working in cross-cultural communication and documentation as well as for understanding the evolution of naming practices in response to modernization.

Guidelines for Gene and Genome Assembly Nomenclature.

The rapid increase in the number of reference-quality genome assemblies presents significant new opportunities for genomic research. However, the absence of standardized naming conventions for genome assemblies and annotations across datasets creates substantial challenges. Inconsistent naming hinders the identification of correct assemblies, complicates the integration of bioinformatics pipelines, and makes it difficult to link assemblies across multiple resources. To address this, we developed a specification for standardizing the naming of reference genome assemblies, to improve consistency across datasets and facilitate interoperability. This specification was created with FAIR (Findable, Accessible, Interoperable, and Reusable) practices in mind, ensuring that reference assemblies are easier to locate, access, and reuse across research communities. Additionally, it has been designed to comply with primary genomic data repositories, including members of the International Nucleotide Sequence Database Collaboration (INSDC) consortium, ensuring compatibility with widely used databases. While initially tailored to the agricultural genomics community, the specification is adaptable for use across different taxa. Widespread adoption of this standardized nomenclature would streamline assembly management, better enable cross-species analyses, and improve the reproducibility of research. It would also enhance natural language processing applications that depend on consistent reference assembly names in genomic literature, promoting greater integration and automated analysis of genomic data. This is a good time to consider more consistent genomic data nomenclature as many research communities and data resources are now finding themselves juggling multiple datasets from multiple data providers.

Classification of schwannomas and the new naming convention for "neurofibromatosis-2": Genetic updates and international consensus recommendation.

Despite their similar nomenclature, Neurofibromatosis type 1 (NF1) and "Neurofibromatosis type 2" are discrete and clinically distinguishable entities. The name of "neurofibromatosis type 2" has been changed to NF2-related schwannomatosis, to reflect the fact that neurofibromas do not occur in this syndrome and therefore the name "Neurofibromatosis" is factually incorrect. Furthermore, multiple schwannomas, a hallmark feature of NF2, can also occur in patients with mutations in genes including SMARCB1 and LZTR1, all exhibiting overlapping clinical features. Current understanding suggests that schwannomatosis (SWN) encompasses a range of clinical presentations consisting of clearly defined, separate subtypes which share a common phenotype of schwannomas. Recognizing these newly emerging subtypes, the International Consensus Group on Neurofibromatosis Diagnostic Criteria (I-NF-DC) proposed a revised nomenclature for NF2 and related disorders in 2022. This review article focuses on this critical update in diagnostic terminology, highlighting the key gene-related SWN subtypes relevant to neuroradiologists. By emphasizing molecular testing alongside clinical features, the revised system facilitates a more precise diagnosis, potentially paving the way for personalized treatment strategies. Additionally, the flexible structure accommodates future discoveries of genes associated with SWN.

NAFLD to MAFLD: collaboration, not confusion - rethinking the naming of fatty liver disease

The recent shift from “non-alcoholic fatty liver disease” (NAFLD) and “metabolic associated fatty liver disease” (MAFLD) to “metabolic dysfunction-associated steatotic liver disease” (MASLD) has raised questions about its scientific basis and impact on patient understanding. This renaming may create confusion rather than clarity. A collaborative approach involving healthcare professionals, researchers, and patients to establish terminology that balances scientific accuracy with accessibility is needed. Effective disease naming should be accurate, unique, consistent, objective, and accessible - qualities essential for clear communication in healthcare. Disease name is more than scientific correctness because naming conventions for public use, especially anything related to health, must be a matter of convenience, ethics, and cultural and social acceptance. Education and straightforward communication should take precedence over renaming, helping patients and healthcare providers fully understand the complexities and implications of liver disease for treatment. After all, from a scientific and public health perspective, MAFLD has clear advantages over MASLD.

Harmonization of data from neuropsychological tests used in different prospective studies‐ Descending a Tower of Babel

AbstractBackgroundCognitive dysfunction is central to clinicopathological models of Alzheimer’s disease (AD). While AD prospective studies assess similar cognitive domains, the neuropsychological tests used vary between studies, limiting potential for aggregation. We examined a machine learning (ML) data harmonisation method1 for neuropsychological test data to develop a harmonised PACC score for the Alzheimer’s Dementia Onset and Progression in International Cohorts (ADOPIC) consortium.MethodADOPIC included longitudinal clinicopathological data from AIBL (N = 1765), ADNI (N = 1779) and OASIS (N = 440) cohorts (Table 1). Harmonization involved three stages. First, cognitive domains of interest and the neuropsychological tests assessing each were defined. Second, a standardized scoring and naming convention was established for demographic and neuropsychological outcomes. Third, the ML harmonisation approach1 was applied. Test scores present in one cohort, but not another, were treated as missing and imputed using ML before calculating a PACC1. Imputation utilized data from neuropsychological tests, age, sex, years of education, and APOE‐ɛ4 status. We validated the harmonized PACC (H‐PACC) by randomly simulating missing cognitive scores and analysing percentage error of imputed scores versus actual data1. Validity of harmonized scores was determined by their sensitivity to decline associated with amyloid positivity and clinical disease stage. Linear mixed models (LMMs) modelled trajectory of change on H‐PACC and AIBL PACC scores (including identical tests), with time, CDR‐global score, and amyloid status (Aβ‐/Aβ+) interactions as fixed effects. Sex and age at baseline were covariates. Variation in baseline and decline in PACC scores was modelled using random intercepts and slopes. Effect sizes for LMMs were computed with pseudo‐R‐squared.ResultPercentage errors for imputed neuropsychological test scores showed high accuracy with low standard deviations (Figure 1). Sensitivity to clinicopathological disease stage was qualitatively similar for the H‐PACC and AIBL PACC (Figure 2), both discriminating (p<0.001) annual decline rates of Aβ+ CDR 0.5 and CDR≥1 groups from Aβ‐ CDR 0 group. Effect sizes were substantial, with H‐PACC and AIBL PACC data explaining 95% and 93% of variance, respectively.ConclusionThe H‐PACC, developed via ML harmonization, was precise and has utility for aggregating neuropsychological test data to be used in prospective AD studies.

Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots

The ability of reconfigurable robots to adapt to varying tasks and environments furnishes versatility and efficiency in their operations. In this article, tiling robots are introduced as a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. In the study, the existing and future designs of tiling robots by varying base shapes and polygon selections are explored, identifying a significant gap for further exploration of polyforms in their design. The various reconfiguration‐enabling mechanisms and locomotion mechanisms of tiling robots are comparatively analyzed. Summarized electromechanical developments, along with a proposed generalized kinematic model and control scheme, contribute to a comprehensive understanding of tiling robots. A comparison of tiling robots with other established reconfigurable robots is conducted to position tiling robotics within the broader landscape of reconfigurable robotics. The introduction of a new naming convention addresses the absence of a standardized nomenclature for tiling robots. In this article, highlighting the current focus on area coverage in autonomy algorithms of tiling robots, future developments in diverse application domains like logistics, entertainment, and education are anticipated, emphasizing the adaptability of tiling robots as a critical feature for their proliferation across various domains.

Best practice guidelines for use of reference points in radiation oncology information systems to aggregate longitudinal dosimetric data

Purpose/ObjectivesTracking patient dose in radiation oncology is challenging due to disparate electronic systems from various vendors. Treatment planning systems (TPS), radiation oncology information systems (ROIS), and electronic health records (EHR) lack uniformity, complicating dose tracking and reporting. To address this, we examined practices in multiple radiation oncology settings and proposed guidelines for current systems. Material/MethodsA survey was conducted among members of various professional groups to understand dose reporting practices in TPS, ROIS, and EHR systems. The aim was to identify consistent components and develop guidelines. ResultsWe identified six treatment scenarios where current ROIS defaults fail in accurately representing dose totals. A standardized approach involving three reference point types – Primary Treatment Plan Reference, Dose Check, and Prescription Tracking – was proposed to address these scenarios. Standardizing naming conventions for reference points was also recommended for easier integration with EHRs. The approach requires minimal modifications to existing systems and facilitates easier data transfer and display in EHRs. ConclusionStandardizing reference points in commercial TPS and ROIS can bridge infrastructure gaps and improve dose tracking in complex clinical scenarios. This standardization, aligned with AAPM's TG-263, paves the way for continual development of automated, standardized, interoperable tools, enhancing the ease of sharing reference point information.

Tracing Potential Hindu Influences in Pre-Columbian Native Indian Cultures of America

This paper posits that prior to Columbus, Hinduism might have had some influence on Native Indian cultures. It looks across a range of dimensions—mythological, symbolic, architectural, linguistic, and philosophical—for any connections that might show dimensions of the pre-Columbian cultures that were influenced by Hinduism. To do this, the analysis compares and contrasts a very wide range of sources. Overall, the findings indicate not just the possibility but the probability of some kind of influence from Hinduism on the pre-Columbian cultures of the Americas. Some linguistic analyses indicate that Native Indian languages of America may have been influenced by Sanskrit, leading to speculation about shared root words and similar naming conventions. This paper does not get too bogged down with details of linguistic comparison but focuses instead on what some scholars—mainly those who see diffusion from ancient India to the Americas as a real possibility—consider to be striking similarities between what is found in the philosophical literature of ancient India and what is expressed in Native Indian cultures of America. In the final analysis, the paper highlights the significance of these findings for the comprehension of cultural interactions and marks out some potential directions for future research.

Shattering Reality: Monsters from the Multiverse

Kaijū media frequently features dangerous scientific experiments as a central theme, invented by scientists who are falsely convinced that they both completely understand and control their advanced technology. In the past few decades, this has included the introduction of high-energy physics (HEP) experiments—especially mammoth particle accelerators—that, among other destructive results, allow for the entrance of equally large and dangerous creatures into our world from parallel dimensions. Public concerns voiced about the safety of the creation of two groundbreaking energy accelerators—the Relativistic Heavy Ion Collider (RHIC) in New York and the Large Hadron Collider (LHC) in Europe—in the early 21st century are tied to related science fiction media that capitalize on such fears (including Godzilla vs. Megaguirus [2000], Pacific Rim [2013], The Cloverfield Paradox [2018], The Kaiju Preservation Society [2022]). Particular attention is paid to the Netflix original series Stranger Things (2016–) as a detailed case study. This study concludes with an analysis of scientists’ attempts to embrace the popularity of Stranger Things in their communication with the general public, and suggests that ongoing issues with conspiracy theories have been fueled in part by such attempts, coupled with long-standing issues with the HEP community and their peculiar scientific naming conventions.

LukProt: A Database of Eukaryotic Predicted Proteins Designed for Investigations of Animal Origins.

The origins and early evolution of animals are subjects with many outstanding questions. One problem faced by researchers trying to answer them is the absence of a comprehensive database with sequences from nonbilaterians. Publicly available data are plentiful but scattered and often not associated with proper metadata. A new database presented in this paper, LukProt, is an attempt at solving this issue. The database contains protein sequences obtained mostly from genomic, transcriptomic, and metagenomic studies and is an extension of EukProt (Richter DJ, Berney C, Strassert JFH, Poh Y-P, Herman EK, Muñoz-Gómez SA, Wideman JG, Burki F, de Vargas C. EukProt: a database of genome-scale predicted proteins across the diversity of eukaryotes. Peer Community J. 2022:2:e56. https://doi.org/10.24072/pcjournal.173). LukProt adopts the EukProt naming conventions and includes data from 216 additional animals. The database is associated with a taxonomic grouping (taxogroup) scheme suitable for studying early animal evolution. Minor updates to the database will contain species additions or metadata corrections, whereas major updates will synchronize LukProt to each new version of EukProt, and releases are permanently stored on Zenodo (https://doi.org/10.5281/zenodo.7089120). A BLAST server to search the database is available at: https://lukprot.hirszfeld.pl/. Users are invited to participate in maintaining and correcting LukProt. As it can be searched without downloading locally, the database aims to be a convenient resource not only for evolutionary biologists, but for the broader scientific community as well.

The Differences between Chinese and Western Names and Their Cultural Implications

Names serve as more than mere identifiers; they embody cultural values, identity formation, and societal norms. This study examines the similarities and differences between Chinese and Western naming conventions, exploring how these practices reflect broader cultural, historical, and religious influences. Drawing on the Sapir-Whorf hypothesis, the research investigates how language—and consequently names—shapes worldviews and social structures. In China, naming conventions often emphasize familial ties, cultural heritage, and philosophical principles rooted in Confucian values and ancient traditions. In contrast, Western naming practices tend to prioritize individualism and personal expression, reflecting values of freedom and equality. The study highlights the importance of names in shaping identities and social interactions, particularly in a globalized context. Understanding these distinctions promotes intercultural dialogue and enhances mutual respect between Chinese and Western cultures. The findings suggest that names function as cultural markers, bridging personal identity with collective heritage, and tradition with modernity.

Exploring Fish Parvalbumins through Allergen Names and Gene Identities

Parvalbumins are the main source of food allergies in fish meat, with each fish possessing multiple different parvalbumins. The naming convention of these allergens in terms of allergen codes (numbers) is species-specific. Allergen codes for parvalbumin isoallergens and allergen variants are based on sequence identities relative to the first parvalbumin allergen discovered in that particular species. This means that parvalbumins with similar allergen codes, such as catfish Pan h 1.0201 and redfish Seb m 1.0201, are not necessarily the most similar proteins, or encoded by the same gene. Here, we aim to elucidate the molecular basis of parvalbumins. We explain the complicated genetics of fish parvalbumins in an accessible manner for fish allergen researchers. Teleost or modern bony fish, which include most commercial fish species, have varying numbers of up to 22 parvalbumin genes. All have derived from ten parvalbumin genes in their common ancestor. We have named these ten genes “parvalbumin 1-to-10” (PVALB1-to-PVALB10), building on earlier nomenclature established for zebrafish. For duplicated genes, we use variant names such as, for example, “PVALB2A and PVALB2B”. As illustrative examples of our gene identification system, we systematically analyze all parvalbumin genes in two common allergy-inducing species in Japan: red seabream (Pagrus major) and chum salmon (Oncorhynchus keta). We also provide gene identifications for known parvalbumin allergens in various fish species.

A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli

Neurophysiology research has demonstrated that it is possible and valuable to investigate sensory processing in scenarios involving continuous sensory streams, such as speech and music. Over the past 10 years or so, novel analytic frameworks combined with the growing participation in data sharing has led to a surge of publicly available datasets involving continuous sensory experiments. However, open science efforts in this domain of research remain scattered, lacking a cohesive set of guidelines. This paper presents an end-to-end open science framework for the storage, analysis, sharing, and re-analysis of neural data recorded during continuous sensory experiments. We propose a data structure that builds on existing custom structures (Continuous-event Neural Data), providing a precise naming convention and data types, as well as providing a workflow for storing and loading data in the general-purpose BIDS structure. The framework has been designed to interface easily with existing toolboxes, such as EelBrain, NapLib, MNE, and the mTRF-Toolbox. We present guidelines by taking both the user view (how to rapidly re-analyse existing data) and the experimenter view (how to store, analyse, and share), making the process as straightforward and accessible. Additionally, we introduce a web-based data browser that enables the effortless replication of published results and data re-analysis.

A semantic meta-model for data integration and exploitation in precision agriculture and livestock farming

At the domains of agriculture and livestock farming a large amount of data are produced through numerous heterogeneous sources including sensor data, weather/climate data, statistical and government data, drone/satellite imagery, video, and maps. This plethora of data can be used at precision agriculture and precision livestock farming in order to provide predictive insights in farming operations, drive real-time operational decisions, redesign business processes and support policy-making. The predictive power of the data can be further boosted if data from diverse sources are integrated and processed together, thus providing more unexplored insights. However, the exploitation and integration of data used in precision agriculture is not straightforward since they: i) cannot be easily discovered across the numerous heterogeneous sources and ii) use different structural and naming conventions hindering their interoperability. The aim of this paper is to: i) study the characteristics of data used in precision agriculture & livestock farming and ii) study the user requirements related to data modeling and processing from nine real cases at the agriculture, livestock farming and aquaculture domains and iii) propose a semantic meta-model that is based on W3C standards (DCAT, PROV-O and QB vocabulary) in order to enable the definition of metadata that facilitate the discovery, exploration, integration and accessing of data in the domain.

B-121 Optimizing Test Ordering: Leveraging Heuristics in Naming Conventions - A PSA Case Study

Abstract Background A common screening test for prostate cancer is the Prostate-Specific Antigen (PSA) test, which may also be referred to as total PSA or total PSA plus free PSA, among other variations. Looking at the test menus of two major reference laboratories, it's apparent that PSA can be ordered under thirteen different test names. From an end-user perspective, the question arises: which of these thirteen tests should be ordered, and why are there so many options? This plethora of choices can lead to confusion and uncertainty for clinicians and patients alike. According to various guidelines, ordering Free PSA is only warranted when PSA values exceed 4 ng/ml. In such cases, the ratio of free PSA to total PSA can aid in further clinical decision-making and patient workup. At Zuckerberg San Francisco General Hospital (ZSFGH), we offer two tests for PSA. The first is named “Prostate Specific Antigen” is total PSA done in house, while the second is labeled “Prostate Spec. Ag. Total and Free.” which is sent out to a reference lab. Upon reviewing our send-out orders, we observed a significant increase (376%) from 2022 to 2023 in the use of the send out order. Methods The ordering data for our providers was collected from February 2022 to January 2024 for both in-house and send-out orders. The data was analyzed using descriptive statistics in Microsoft Excel. Results In our population, we observed an abnormal concentration of send-outs originating from a select group of physicians. Additional we also identified a group of providers who only selected the send out test order. Analysis of in-house assay results for PSA revealed that only 15% (1292 out of 8136) exceeded the cutoff of 4 ng/ml, necessitating further testing to inform clinical decision-making. Yet our send out volume of 4157 test is in discordance with how many PSA would need further evaluation. Based on a cost analysis reducing the send out volume by 80% could result in $53,210 savings. Therefore, to reduce the send out amount and to keep the naming convention similar we decided to implement a new test name that would reflex the PSA to Free PSA if the PSA is above 4 ng/ml. We decided on the name “Prostate Specific Antigen total with reflex to Free Prostate Specific Antigen”. Conclusions Our investigation into the variability in PSA test ordering revealed a significant disparity in the number of send-out orders, particularly originating from a select group of physicians. However, the disproportionately high volume of send-out tests suggested an inefficiency in the current testing approach. To address this issue and align with clinical guidelines, we decided to process a request to our medical executive committee for approval for this reflex test in order to meet reimbursement compliance with the Office of the Inspector General. This change aims to streamline the process, reduce unnecessary send-out tests, and ultimately improve the efficiency and accuracy of prostate cancer screening at our institution.

Strandline records of high frequency, low magnitude drops in water level, glacial Lake Agassiz basin, Central Polk County, MN, USA

Glacial Lake Agassiz strandlines expressed in LiDAR-based digital elevation models are detailed records of past water level change that reflect outlet incision and switching. Detailed 1:24,000 scale surficial geology mapping of a small section of coastline east of Crookston, MN, reveals strandlines of the Lockhart, Emerson, and Nipigon phases. Other than the Campbell and youngest Tintah Beach, the strandlines are not identified using the naming convention established near the southern outlet (Herman, Norcross, Upham, Tintah) because of the increasing number of strandlines northwards. The strandlines, for the most part, naturally exist in elevation clusters, and are assigned to 11 strandline groups (SG). SGs 1–9 are of Lockhart age at elevations higher than the Tintah Campbell Gap (TCGap). Elevation gaps between SGs are ~1–3 m, greater than the 0.5–2 m gap between successive strandlines within a SG. The many (n = 70) small, low-relief strandlines are interpreted to record nearly continuous incision of the southern outlet sill during Lockhart Phase. Beach ridges are estimated to have formed every ~20 years. The TCGap is ~4 km wide in the study area. The Campbell Beach of Emerson Phase age consists of several embayments, beach ridges and the large Melvin Spit. Based on morphological comparison with the modern Gull Point Spit in the Lake Erie basin, the Melvin Spit took ~500 years to form, during which water level dropped 8 m. The Nipigon Phase strandlines are small discontinuous beach ridges. North-south elevation plots of the most continuous strandline in each SG records southward slopes of 1.1 to 0.19 m/km explained by differential glacioisostatic adjustment active during strandline development that decreases through time at lower elevations. The three highest elevation OSL dates agree with published ages for the older strandlines (~14.4 ± 1.5 ka), but younger dated Tintah, Campbell, and sub-Campbell beaches are 2–5 ka older than published ages. Ground penetrating radar (GPR) datasets acquired at 11 sites at frequencies between 100 and 500 MHz, representing a cumulative distance of 11 km, form the basis for a simple beach ridge formation model augmented with hand auger holes and shallow hand-dug pits. Six radar facies (RF) were identified, dominated by RF2 which consists of lakeward-dipping reflections with a downlapping lower boundary recording a depositional regressive system, and RF4 which consists of landward-dipping reflections with a downlapping lower boundary recording overwash deposits from proposed storm events. Spit orientations and GPR data indicate littoral drift was southwards with offshore bars possibly nucleating successive beach ridges upon ~1-m drops in water level. Detailed analysis of strandlines from paleo lakes offer promise for high resolution reconstructions of past water level history.

Hiding in plain sight: Misinterpretation of immunogenic DPB epitopes within G/P groups

The clinical impact of HLA DP antibodies is poorly understood, resulting in variable clinical strategies for transplant candidates and recipients with donor-directed HLA-DP antibodies. Complicating matters further, the DPB naming convention is not based on allelic homology and requires sequence alignments to identify potential immunogenic epitopes. Historically, G and P codes, which consolidated alleles that were identical over Exon 2, were used to simplify the reporting of HLA Class II typing as differences outside of Exon 2 have not been considered immunogenic (i.e., able to induce an antibody response). Herein, we present four cases demonstrating that polymorphisms at codons 96R/K and 170I/T, in Exon 3 of DPB, are targets for alloantibody recognition. These regions “hide in plain sight” due to the current use of G/P code-level typing, potentially leading to incorrect compatibility assessments (i.e., virtual crossmatches) and misinterpreted antibody responses. The unintentional crossing of an HLA-DPB donor-specific antibody (DSA) in a solid organ or hematopoietic stem cell transplant may lead to unforeseen deleterious clinical outcomes. Our data underscore the complexities of DPB histocompatibility assessments and highlight the need for adaptable systems that align with evolving research and clinical outcomes.

Setting up an institutional OMERO environment for bioimage data: Perspectives from both facility staff and users.

Modern bioimaging core facilities at research institutions are essential for managing and maintaining high-end instruments, providing training and support for researchers in experimental design, image acquisition and data analysis. An important task for these facilities is the professional management of complex multidimensional bioimaging data, which are often produced in large quantity and very different file formats. This article details the process that led to successfully implementing the OME Remote Objects system (OMERO) for bioimage-specific research data management (RDM) at the Core Facility Cellular Imaging (CFCI) at the Technische Universität Dresden (TU Dresden). Ensuring compliance with the FAIR (findable, accessible, interoperable, reusable) principles, we outline here the challenges that we faced in adapting data handling and storage to a new RDM system. These challenges included the introduction of a standardised group-specific naming convention, metadata curation with tagging and Key-Value pairs, and integration of existing image processing workflows. By sharing our experiences, this article aims to provide insights and recommendations for both individual researchers and educational institutions intending to implement OMERO as a management system for bioimaging data. We showcase how tailored decisions and structured approaches lead to successful outcomes in RDM practices. Lay description: Modern bioimaging facilities at research institutions are crucial for managing advanced equipment and supporting scientists in their research. These facilities help with designing experiments, capturing images, and analyzing data. One of their key tasks is organizing and managing large amounts of complex image data, which often comes in various file formats and are difficult to handle. This article explains how the Core Facility Cellular Imaging (CFCI) at Technische Universität Dresden successfully implemented a specialized system called OMERO. With this system it is possible to manage and organize bioimaging data sustainably in a way that they are findable, accessible, interoperable and reusable according the FAIR principles. We describe the practical implementation process on exemplary projects within scientific research and medical education. We discuss the challenges we faced, such as creating a standard way to name files, organizing important information about the images (known as metadata), and ensuring that existing image processing methods could work with the new system. By sharing our experience, we aim to offer practical advice and recommendations for other researchers and institutions interested in using OMERO for managing their bioimaging data. We highlight how careful planning and structured approaches can lead to successful data management practices, making it easier for researchers to store, access, and reuse their valuable data.

A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema

This paper introduces a portable framework for developing, scaling and maintaining energy management and information systems (EMIS) applications using an ontology-based approach. Key contributions include an interoperable layer based on Brick schema, the formalization of application constraints pertaining metadata and data requirements, and a field demonstration. The framework allows for querying metadata models, fetching data, preprocessing, and analyzing data, thereby offering a modular and flexible workflow for application development. Its effectiveness is demonstrated through a case study involving the development and implementation of a data-driven anomaly detection tool for the photovoltaic systems installed at the Politecnico di Torino, Italy. During eight months of testing, the framework was used to tackle practical challenges including: (i) developing a machine learning-based anomaly detection pipeline, (ii) replacing data-driven models during operation, (iii) optimizing model deployment and retraining, (iv) handling critical changes in variable naming conventions and sensor availability (v) extending the pipeline from one system to additional ones.

Strong decays of the isovector-scalar D*D¯* hadronic molecule

We adopt the effective Lagrangian approach to study the strong decays of the 1−(0++)D*D¯* molecular state [denoted as Tψ0a(4010) according to the LHCb naming convention] through triangle diagrams. The decay channels include the open-charm DD¯, and the hidden-charm ηcπ, J/ψρ, and χc1π. The coupling between the Tψ0a(4010) and its constituents D*D¯* is obtained by solving for the residue of the scattering T-matrix at the pole. Our calculations yield a total width of few tens MeV for the Tψ0a(4010) state using three different form factors, with its main decay channels being ηcπ and χc1π. The X(4100) and X(4050) have similar masses and widths, with both masses being close to the D*D¯* threshold. Additionally, their decay final states are consistent with those of the Tψ0a(4010). Therefore, it is likely that they represent the same state and both potentially correspond to the Tψ0a(4010). We suggest that future experiments focus on searching for the Tψ0a(4010) signal in the final states ηcπ−, χc1π−, and D0D− of the B0→ηcπ−K+, χc1π−K+, and D0D−K+ processes, respectively, as well as further investigating its resonance parameters with Flatté-like formula. Published by the American Physical Society 2024