Objectives and achievements of the HUMN project on its 26th anniversary.

Micronuclei (MN) are a nuclear abnormality that occurs when chromosome fragments or whole chromosomes are not properly segregated during mitosis and consequently are excluded from the main nuclei and wrapped within nuclear membrane to form small nuclei. This maldistribution of genetic material leads to abnormal cellular genomes which may increase risk of developmental defects, cancers, and accelerated aging. Despite the potential importance of MN as biomarkers of genotoxicity, very little was known about the optimal way to measure MN in humans, the normal ranges of values of MN in healthy humans and the prospective association of MN with developmental and degenerative diseases prior to the 1980's. In the early 1980's two important methods to measure MN in humans were developed namely, the cytokinesis-block MN (CBMN) assay using peripheral blood lymphocytes and the Buccal MN assay that measures MN in epithelial cells from the oral mucosa. These discoveries greatly increased interest to use MN assays in human studies. In 1997 the Human Micronucleus (HUMN) project was founded to initiate an international collaboration to (i) harmonise and standardise the techniques used to perform the lymphocyte CBMN assay and the Buccal MN assay; (ii) establish and collate databases of MN frequency in human populations world-wide which also captured demographic, lifestyle and environmental genotoxin exposure data and (iii) use these data to identify the most important variables affecting MN frequency and to also determine whether MN predict disease risk. In this paper we briefly describe the achievements of the HUMN project during the period from the date of its foundation on 9th September 1997 until its 26th Anniversary in 2023, which included more than 200 publications and 23 workshops world-wide.

Revolutionizing construction: A cutting-edge decision-making model for artificial intelligence implementation in sustainable building projects.

This study examines how certain artificial intelligence (AI) drivers affect the industry's adoption of this technology in the construction industry. The research methods comprised a comprehensive analysis of previous studies to pinpoint the primary factors influencing AI adoption in the construction industry. Data collection was carried out through a well-structured survey involving relevant stakeholders in the building construction sector. The three main constructs of technological devices, advancement, and knowledge were found from the set of drivers with the technique of exploratory factor analysis. The deployment of AI in construction has the potential to improve health and safety and expedite project completion, as this research has evaluated. To figure out how these factors relate to the adoption of AI in the construction industry, partial least squares structural equation modeling was used. The study's conclusions showed that the influence of AI installation in the construction industry is reasonably significant thanks to the technology, advancement, and knowledge, contributing around 15 % of the effects that have been directly witnessed. The practical implications of AI for policy makers, engineers, and construction stakeholders are extensive and provide valuable insights for customized strategies aimed at using AI's potential to improve projects, promote sustainability, and elevate health and safety standards.

High-skilled immigration enhances regional entrepreneurship.

Immigrants are highly entrepreneurial. But, what is the broader relationship between high-skilled immigration and regional entrepreneurship activity beyond the ventures that immigrants establish themselves? Using administrative data on newly awarded H-1B visas in the United States, we document a positive relationship between high-skilled immigration and regional entrepreneurship. A doubling of immigrants to a metropolitan statistical area is followed by a 6% increase in entrepreneurship within three years. In contrast, continuing H-1Bs and the arrival of unskilled immigrants (H-2B visas) do not increase regional entrepreneurship. Focusing on Indian immigrants (representing about 70% of all H-1B visas), we find the effect is stronger in metropolitan statistical areas with a larger local Indian population, but not other nationalities, suggesting that presence of conationals facilitates the relationship between high-skilled immigration and regional entrepreneurship. We present this and other evidence as consistent with a knowledge transfer mechanism.

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks.

Multimodal neuroimaging modeling has become a widely used approach but confronts considerable challenges due to heterogeneity, which encompasses variability in data types, scales, and formats across modalities. This variability necessitates the deployment of advanced computational methods to integrate and interpret these diverse datasets within a cohesive analytical framework. In our research, we amalgamate functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and structural MRI (sMRI) into a cohesive framework. This integration capitalizes on the unique strengths of each modality and their inherent interconnections, aiming for a comprehensive understanding of the brain's connectivity and anatomical characteristics. Utilizing the Glasser atlas for parcellation, we integrate imaging-derived features from various modalities-functional connectivity from fMRI, structural connectivity from DTI, and anatomical features from sMRI-within consistent regions. Our approach incorporates a masking strategy to differentially weight neural connections, thereby facilitating a holistic amalgamation of multimodal imaging data. This technique enhances interpretability at connectivity level, transcending traditional analyses centered on singular regional attributes. The model is applied to the Human Connectome Project's Development study to elucidate the associations between multimodal imaging and cognitive functions throughout youth. The analysis demonstrates improved predictive accuracy and uncovers crucial anatomical features and essential neural connections, deepening our understanding of brain structure and function. This study not only advances multi-modal neuroimaging analytics by offering a novel method for the integrated analysis of diverse imaging modalities but also improves the understanding of intricate relationship between the brain's structural and functional networks and cognitive development.

CASCADE: A Community-Engaged Action Model for Generating Rapid, Patient-Engaged Decisions in Clinical Research.

Background: Integrating patient and community input is essential to the relevance and impact of patient-focused research. However, specific techniques for generating patient and community-informed research decisions remain limited. Here, we describes a novel CASCADE method (Community-Engaged Approach for Scientific Collaborations and Decisions) that was developed and implemented to make actionable, patient-centered research decisions during a federally funded clinical trial. Methods: The CASCADE approach includes 7 key pillars: (1) identifying a shared, specific, and actionable goal; (2) centering community input; (3) integrating both pre-registered statistical analyses and exploratory "quests"; (4) fixed-pace scheduling, supported by technology; (5) minimizing opportunities for cognitive biases typical to group decision making; (6) centering diversity experiences and perspectives, including those of individual patients; (7) making decisions that are community-relevant, rigorous, and feasible. Here, we implemented these pillars within a three-day CASCADE panel, attended by diverse members of a research project team that included community interest-holders. The goal of our panel was to identify ways to improve an algorithm for matching patients to specific types of telehealth programs within an active, federally funded clinical trial. Results: The CASCADE panel was attended by 27 participants, including 5 community interest-holders. Data reviewed to generate hypotheses and make decisions included (1) pre-registered statistical analyses, (2) results of 12 "quests" that were launched during the panel to answer specific panelist questions via exploratory analyses or literature review, (3) qualitative and quantitative patient input, and (4) team member input, including by staff who represented the target patient population for the clinical trial. Panel procedures resulted in the generation of 18 initial and 12 final hypotheses, which were translated to 19 decisional changes. Conclusions: The CASCADE approach was an effective procedure for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. Opportunities for further development will include exploring best-practice structural procedures, enhancing greater opportunities for pre-panel input by community interest-holders, and determining how to best standardize CASCADE outputs. Trial registration: The CASCADE procedure was developed in the context of NCT05999448.

Effects of MCPA and difenoconazole on glyphosate degradation and soil microorganisms.

Modern agriculture relies heavily on pesticide use to meet the demands of food quality and quantity. Therefore, pesticides are often applied in mixtures, leading to a diverse cocktail of chemicals and their metabolites in soils, which can affect non-target organisms such as soil microorganisms. Pesticides are tested for their single effects, but studies on their interactive effects are scarce. This study aimed to determine the effects of up to three simultaneously applied pesticides on the soil microbial community and on their special function in pesticide degradation. Agricultural soil without previous pesticide application was exposed to different mixtures of the herbicide glyphosate (GLP), the phenoxy herbicide MCPA (2-methyl-4-chlorophenoxyacetic acid) and the fungicide difenoconazole (DFC) for up to 56 days. Isotopic and molecular methods were used to investigate effects of the mixtures on the microbial community and to follow the mineralization and utilization of GLP. An initial increase in the metabolic quotient by up to 35 % in the presence of MCPA indicated a stress reaction of the microbial community. The presence of multiple pesticides reduced both gram positive bacterial fatty acid methyl esters (FAMEs) by 13 % and the abundance of microorganisms with the genetic potential for GLP degradation via the AMPA (aminomethylphosphonic acid) pathway. Both the number of pesticides and the identities of individual pesticides played major roles. Surprisingly, an increase in 13C-labelled GLP mineralization of up to 40 % was observed while carbon use efficiency (CUE) decreased. Interactions between multiple pesticides might alter the behavior of individual pesticides and be reflected in the microbial community. Our results highlight the importance of investigating not only single pesticides, but also pesticide mixtures and their interactions.

A genome assembly for the Chryxus Arctic (Oeneis chryxus), the highest butterfly in North America.

We describe a highly contiguous and complete diploid genome assembly for the Chryxus Arctic, Oeneis chryxus (E. Doubleday, [1849]), a butterfly species complex spanning much of northern and western North America. One subspecies, the Ivallda Arctic (O. c. ivallda), is endemic to California's Sierra Nevada and of particular biogeographic interest and conservation concern. Extreme alpine habitats occupied by this subspecies include the summit of Mt. Whitney, California, representing the highest elevation butterfly population in North America. The assembly presented here consists of two haplotypes, 738.92 and 770.85 Mb in length, with contig N50 values of 10.49 and 10.13 Mb, scaffold N50 values of 25.35 and 25.69 Mb, scaffold L50 values of 13 and 14, and BUSCO completeness scores of 96.5 and 98.3%, respectively. More than 97% of the assembly is organized into 29 scaffolds, which likely represent whole chromosomes. This assembly is the first major genomic resource for Oeneis, providing a foundational reference for future genomic studies on the taxonomy, evolutionary history, and conservation of the genus. As part of the California Conservation Genomics Project, we will use this assembly in conjunction with short-read resequencing to resolve patterns of evolutionary differentiation, adaptive genomic variation, and gene flow among remaining O. c. ivallda populations. These data can and will be used to inform the subspecies' conservation as warming climatic conditions continue to lead to the loss and fragmentation of alpine habitats. We also provide genome assemblies for the O. chryxus mitochondrion and a Wolbachia endosymbiont.

A chromosome-level genome assembly of the common eider, Somateria mollissima (Linnaeus, 1758).

The common eider, Somateria mollissima mollissima (Chordata; Aves; Anseriformes; Anatidae), is a large sea duck with a circumpolar distribution. We here describe a chromosome-level genome assembly from an individual female. The haplotype-resolved assembly contains one pseudo-haplotype spanning 1205 megabases (with both Z and W sex chromosomes) and one pseudo-haplotype spanning 1080 megabases. Most of these two assemblies (91.13% and 93.18%, respectively) are scaffolded into 32 autosomal chromosomal pseudomolecules plus Z and W for pseudo-haplotype one. The BUSCO completeness scores are 94.0% and 89.9%, respectively, and gene annotations of the assemblies identified 17,479 and 16,315 protein coding genes. Annotation of repetitive sequences classify 17.84 % and 14.62 % of pseudo-haplotype one and two, respectively, as repeats. The genome of the common eider will be a useful resource for the widely distributed northern species in light of climate change and anthropogenic threats.

Ecological impacts and supply demand evolution of the Yangtze to Huaihe water transfer project in Anhui section.

Human activities have profound impacts on land use and the supply-demand balance of ecosystem services (ESs). Various activities, such as urban construction, urban and rural planning, and inter-basin water transfer projects, continuously reshape land use patterns. This is a case study of the Anhui section of the Yangtze-Huaihe Water Diversion Project. Data from 2000, 2010, and 2020 is analyzed. Additionally, the patch-generating land use simulation (PLUS) model is utilized to quantify the specific impacts of the water diversion project construction on the supply and demand of ESs. The results indicate that the comprehensive dynamic attitude of land use during the project construction period significantly increased, rising from 0.16 to 13.79%, and mainly affected forest, water areas, construction land, and unused land. Specifically, the construction of the project led to significant changes in water purification, biodiversity, and, especially, hydrological regulation services. Additionally, the migration of residents significantly impacted the demand for ESs. The study also found a significant correlation between land use changes and the balance of ES supply and demand: the proportion of cultivated land and construction land is positively correlated with the balance, while the proportion of forest, grassland, and water areas is negatively correlated. This study provides empirical data for understanding the environmental and socio-economic impacts of large-scale water diversion projects and offers a scientific basis for local mitigation and control of adverse impacts. Through quantitative analysis and model prediction, this research effectively bridges the gap between theory and practice, providing important references for sustainable regional development.

Prescription writing quality of psychotropic agents in MBBS interns in a private medical college hospital in Mangaluru.

Background: Rational prescription writing is an important skill to master during internship. This Quality Improvement (QI) project aimed to understand the state of prescription writing among interns posted in the Department of Psychiatry, analyze the causes responsible for errors in prescription writing and bring about a change in the current practice. Methods: The MBBS interns are posted in the Department of Psychiatry for 15 days. During day 1 to day 5 of their posting, a pre intervention phase was conducted wherein prescriptions written by interns in the Department of Psychiatry were collected. The prescriptions were scored based on 14 criteria which were selected based on World Health Organization (WHO) guidelines and Medical Council of India (MCI) ideal prescription format. During PDSA (Plan Do Study Act) Cycle 1, an educational handout was distributed to the interns containing the MCI ideal prescription format and WHO guidelines regarding prescription writing. The brochure was also verbally explained to the interns. From day 7 to day 15 of their posting, prescriptions written by the interns were collected. The prescriptions were scored using the same criteria. Results: During the pre intervention phase the mean total score of prescriptions was 9.54 ± 1.003. There was a significant improvement in the mean total score to 10.26 ± 0.746. There was a 7.54% improvement. There was also a significant improvement in several individual criteria. Conclusions: The first PDSA cycle was successful in improving the quality of prescription writing among interns posted in the Department of Psychiatry. There is a need to implement more PDSA cycles to improve the quality still further.

Ohnut vs waitlist control for the self-management of endometriosis-associated deep dyspareunia: a pilot randomized controlled trial.

Background: Deep dyspareunia affects 50% of people with endometriosis. The Ohnut is a set of interlocking rings that fit over the penis/insertive object. One or more rings can be used to limit insertion depth and reduce deep dyspareunia. Aim: We conducted a pilot, parallel, open-label randomized controlled trial (RCT) to investigate the feasibility of the study design and the acceptability and preliminary efficacy of the Ohnut. Method: Participants were recruited from a tertiary center for endometriosis. Eligibility criteria were surgically confirmed endometriosis, age 19-49 years, monogamous sexual relationship with a partner willing to participate in the study, and no comorbid superficial dyspareunia, anxiety, or depression. Couples were randomized into an intervention group or a waitlist control group using a 1:1 allocation ratio. All couples had sex as normal during weeks 1 to 4 (baseline period), and couples in the intervention group used the Ohnut with sex during weeks 5 to 10 (intervention period) while controls had sex as normal. Patient participants used daily diaries to record sexual activity and deep dyspareunia score (0-10) for the 10-week study. Intervention group participants completed an acceptability questionnaire at the end of the study. Outcomes: The primary outcomes were feasibility of the study and acceptability of the Ohnut. We also assessed differences in deep dyspareunia scores in the participants who used the Ohnut compared to the control participants who did not. Results: We recruited approximately 5 couples per month of active recruitment. Of 864 potentially eligible participants, we successfully contacted 44.7% (n = 386), of whom 8.0% (n = 31) consented, 64.8% (n = 250) were ineligible, and 27.2% (n = 105) declined. Thirty-one couples were randomly assigned to the intervention or control group, and 17 couples completed the study. Intervention group couples used the Ohnut for an average of 72.4% (32.7%) of sexual encounters during the intervention period. The mean acceptability index score for the Ohnut was 0.83 (0.078) among patients and 0.83 (0.049) among partners (index between 0 and 1). After controlling for baseline deep dyspareunia, there was a significant difference in the intervention period mean deep dyspareunia scores between the control and intervention group (4.69 (2.44) vs 2.46 (1.82), P = .012). Clinical Implications: We identified preliminary evidence for the acceptability and efficacy of the Ohnut among both patients and partners, suggesting that the Ohnut may be a useful stand-alone or adjuvant management tool for endometriosis-associated deep dyspareunia. Strengths and Limitations: Strengths of this study were the "real-world" use of the Ohnut and data collection from both patients and partners. Limitations of the study design included the strict eligibility criteria that affected feasibility and generalizability. Conclusion: This pilot RCT indicated that the Ohnut may be an acceptable and effective intervention to reduce endometriosis-associated deep dyspareunia. We identified opportunities to improve design for a larger RCT. Clinical Trial Registration: This clinical trial was registered with clinicaltrials.gov (#NCT04370444).

Theory Use in Project Management Research: An Exploratory Content Analysis Approach.

The frequency and richness of the theories developed, tested, and used by researchers in an academic discipline exemplify several pertinent factors, namely, the growth, the maturity, the independence, the legitimacy, and the influence of the discipline. Although organizations have been working on projects for centuries, Project Management (PM) is a considerably new academic discipline with emerging research themes, models, methodologies, frameworks, and paradigms. These PM concepts are anchored on or reinforced by new or existing theories. This exploratory study aims to add to the existing PM body of knowledge by investigating the prevalence of theory use in PM research. A systematic content analysis of 9200 PM research articles published from 2000 to 2019 (20 years) in the leading PM journals identified 248 unique theories. These results reveal that the PM discipline is increasingly embracing the use of theories with game theory, fuzzy theory, agency theory, contingency theory, and stakeholder theory emerging as the most dominant theories in the reviewed research articles. Also, although PM is developing its theories, the results revealed that PM researchers continue to heavily use theories borrowed from other academic disciplines such as psychology, sociology, mathematics, and economics.

Core Principles and Practices for the Design, Implementation, and Evaluation of Social and Behavior Change for Nutrition in Low- and Middle-Income Contexts with Special Applications for Nutrition-Sensitive Agriculture.

Background: There is currently no cogent set of standards to guide the design, implementation and evaluation of nutrition social and behavior change (SBC), including for nutrition-sensitive agriculture (NSA). Objectives: We aimed to capture, consolidate, and describe SBC core principles and practices (CPPs), reflecting professional consensus, and to offer programmatic examples that illustrate their application for NSA projects in low- and middle-income countries. Methods: We conducted a narrative review following a 4-step iterative process to identify and describe SBC CPPs. We first reviewed general SBC frameworks and technical documents and developed a preliminary list of CPPs and their definitions. Following review and feedback from 8 content experts, we revised the CPPs, incorporating the panel's feedback, and conducted a more specific search of the peer-reviewed and gray literature. We presented a revised draft of the CPPs to 26 NSA researchers, practitioners, and implementers at the 2022 Agriculture, Nutrition and Health Academy annual conference. We then conducted a focused review of each CPP, and 3 content experts rereviewed the final draft. Results: We reviewed ∼475 documents and resources resulting in a set of 4 core principles: 1) following a systematic, strategic method in designing, implementing, and evaluating SBC activities; 2) ensuring design and implementation are evidence-based; 3) grounding design and implementation in theory; and 4) authentically engaging communities. Additionally, we identified 11 core practices and mapped these to the different stages in the SBC design, implementation, and evaluation cycle. Detailed descriptions, illustrative examples and resources for implementation are provided for each CPP. Conclusions: An explicit set of CPPs for SBC can serve as a guide for design, research, implementation, and evaluation of nutrition and NSA programs; help standardize knowledge sharing and production; and contribute to improved quality of implementation. Broader consultation with SBC practitioners and researchers will further consensus on this work.

Effectiveness of Elements of Social Behavior Change Activities in Nutrition-Sensitive Agriculture Programs: A Systematic Review.

Background: Limited research exists on the specific approaches and behavior change techniques (BCT) used in nutrition-sensitive agriculture (NSA) programs and their effects on diet diversity. Objectives: We aimed to describe nutrition-related social behavior change (SBC) in the context of NSA and quantify the effectiveness of different SBC components of NSA programs in improving diet diversity. Methods: We searched PubMed, Embase, Web of Science, the International Food Policy and Research Institute repository, and Agricola for articles published between 2000 and 2023. We identified the agricultural activities each project used as a pathway to improved nutrition (ag-nutrition pathways), identified SBC approaches used by each project, and coded BCTs using validated coding protocols. Effectiveness ratios (ERs) were calculated to assess pathways, approaches, and BCTs in relation to dietary diversity outcomes (minimum diet diversity for children, child dietary diversity score, and women's dietary diversity). Results: Of 65 included NSA interventions, the most used agriculture-to-nutrition pathways included 1) agricultural production for home consumption (n = 61); 2) women's empowerment (n = 36); and 3) agricultural income (n = 37) pathways. The most used SBC approaches were interpersonal communication (IPC, n = 59) and community-based approaches (n = 53). Frequently used BCTs included "instructions on how to perform the behavior" (n = 65), "social support (unspecified)" (n = 43), and using a "credible source" (n = 43). The increased production for the home consumption pathway, IPC approach, and the BCT "behavioral practice" had high ERs for diet diversity outcomes. Conclusions: Although the agricultural production for home consumption pathway to improved nutrition had the highest ERs for diet diversity, other pathways, such as income generation and reducing wastage, hold promise and require additional investigation. The most commonly applied BCTs focused on information dissemination; however, participatory BCTs related to behavioral demonstration, and behavioral practice had higher ERs. Findings indicate a need to test less frequently utilized SBC components to determine effectiveness.This trial was registered at PROSPERO (=https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=179016) as CRD42020179016.

"The Reference Genome Of The Kidnapper Ant, Polyergus Mexicanus".

Polyergus kidnapper ants are widely distributed, but relatively uncommon, throughout the Holarctic, spanning an elevational range from sea level to over 3000 m. These species are well known for their obligate social parasitism with various Formica ant species, which they kidnap in dramatic, highly coordinated raids. Kidnapped Formica larvae and pupae become integrated into the Polyergus colony where they develop into adults and perform nearly all of the necessary colony tasks for the benefit of their captors. In California, Polyergus mexicanus is the most widely distributed Polyergus, but recent evidence has identified substantial genetic polymorphism within this species, including genetically divergent lineages associated with the use of different Formica host species. Given its unique behavior and genetic diversity, Polyergus mexicanus plays a critical role in maintaining ecosystem balance by influencing the population dynamics and genetic diversity of its host ant species, Formica, highlighting its conservation value and importance in the context of biodiversity preservation. Here, we present a high-quality genome assembly of P. mexicanus from a sample collected in Plumas County, CA, USA, in the foothills of the central Sierra Nevada. This genome assembly consists of 364 scaffolds spanning 252.31 Mb, with contig N50 of 481,250 kb, scaffold N50 of 10.36 Mb, and BUSCO completeness of 95.4%. We also assembled the genome of the Wolbachia endosymbiont of P. mexicanus - a single, circular contig spanning 1.23 Mb. These genome sequences provide essential resources for future studies of conservation genetics, population genetics, speciation, and behavioral ecology in this charismatic social insect.

Wildlife health capacity enhancement in Thailand through the World Organisation for Animal Health Twinning Program.

There is an increasing need for robust wildlife health programs that provide surveillance and management for diseases in wildlife and wild aquatic populations to manage associated risks. This paper illustrates the value of a systematic method to enhancing wildlife health programs. The U.S. Geological Survey and Mahidol University, Faculty of Veterinary Science, Thailand National Wildlife Health Center formally twinned under the auspices of the World Organisation for Animal Health to enhance wildlife health capacity in Thailand and the Southeast Asia Region. We used a system-wide approach to holistically and interdependently enhance capacity. The project commenced with a wildlife health program needs assessment, and capacity enhancement focused on strengthening the general wildlife health surveillance network and improving wildlife health information management. Activities included partner surveys, interactive and didactic workshops, and individual personnel training. Topics included development of wildlife health information management systems, analysis of the current surveillance network, development of a Theory of Change for a strengthened surveillance network, planning workshops to create a wildlife health network, training on wildlife disease outbreak investigation and field sample collection, leading networks, and individual training on bioinformatics and laboratory techniques. Engagement of stakeholders at all levels, continuous communication throughout the project, use of both strategic planning tools and pedagogical methods, and using iterative and adaptive approaches, were key factors to the success of this project.

A spherical fuzzy objective weighting framework for factors affecting bidding decisions for construction projects: A case study of Taiwan.

In response to the intensely competitive bidding environment in Taiwan's construction industry, this study innovates with a spherical fuzzy extension of the modified CRITIC method (SFmCRITIC), a pioneering approach crafted to refine the decision-making process. The research centers on the pivotal role of accurately weighting various significant factors, such as financial stability, market insight, and specialized expertise, to optimize bid success rates. The SFmCRITIC method stands out by quantitatively incorporating the uncertainty and subjectivity typically encountered in bid evaluation. The findings from this methodological application demonstrate a clear hierarchy of influencing factors, offering a nuanced view of strategic priorities for construction firms. This hierarchical understanding not only aids firms in targeted resource distribution and strategic development but also holds promise for adaptation in diverse industry contexts beyond Taiwan, potentially revolutionizing bidding strategies at a global scale.

"I think we just saw happier residents": nursing home provider reported readiness assessment of the individualized positive psychosocial interaction (IPPI) program.

OBJECTIVES: This study assessed the readiness of The Individualized Positive Psychosocial Interaction (IPPI) program in the nursing home (NH) setting from the perspective of NH providers implementing the IPPI. The evidence-based IPPI program is designed to help remediate distress and improve mood for residents living with dementia. NH staff are trained to engage residents in brief (i.e. 10-min) one-to-one, preference-based activities to alleviate emotional distress and enhance quality of life. METHOD: NH providers (n = 15) who championed the IPPI implementation completed an exit interview based on the nine domains of the Readiness Assessment for Pragmatic Trials (RAPT). Interviews were audio-recorded, transcribed, and coded by RAPT domains, then scored by the research team to reflect an average for each domain. RESULTS: Providers rated the IPPI program's readiness high on the domains of alignment, impact, risk, implementation protocol, evidence, cost, and acceptability. The domains of measurement and feasibility scored lower, likely due to broader contextual issues and require particular attention. CONCLUSION: Results illustrate that the IPPI program successfully aligns with stakeholder priorities, is a safe intervention with minimal risk, and has beneficial outcomes. The IPPI's low cost, design, and alignment with organizational goals also facilitated implementation while measuring outcomes and staffing considerations impacted organizational capacity for implementation.

[The manager-IPA pair in mental health: experimenting with a new form of collaboration]. / Le binôme cadre-IPA en santé mentale : expérimenter une nouvelle collaboration.

In 2021, the first advanced practice nurses (APNs) specializing in psychiatry and mental health will have entered the vast field of practice of this discipline. Two years on, the missions entrusted to them within the establishments that have supported the development of their new skills are as varied as ever. While their scope of action remains to be defined in some places, the fact remains that collaboration between the APN and the local health executive is already proving to be a powerful lever for the successful completion of large-scale projects aimed at the continuous improvement of care in their shared field of practice. A look back at the deployment of a quality tool to improve care safety.

Conversion of vintage seismic reflection profiles of the ViDEPI dataset crossing the Gondola Line seismogenic fault (offshore Apulia, Adriatic Sea, Southern Italy) to SEG-Y.

Three files have been created in SEG-Y format after conversion from the raster images of selected parts of the ViDEPI open project: seismic reflection profiles D-445, D-451 and D-452, crossing the Mattinata-Gondola fault system. This dataset was obtained using the freely downloadable MATLAB© program IMAGE2SEGY. The program requires input TIFF and TXT files containing the image and specific parameters for the seismic reflection profiles to convert the raster images to the SEG-Y file format. The TIFF file of each profile was made using Adobe Photoshop®; the TXT format file was created with comma-separated number values and has a three-row and six-column structure, according to the program requirements. Once the raster images were converted to the SEG-Y file format, a light processing using DELPH Seismic® software improved the obtained seismic images. Creating this freely available dataset overcomes the problem of poor-quality representation of the original raster seismic reflection profiles. Hence, this dataset allows geologists to better interpret these profiles, especially by using dedicated software that can modify the colours of the reflectors as desired. Thus, these data are useful for researchers who want to investigate the deeper structures associated with the seismogenic Mattinata-Gondola fault system.