Four-step Process Research Articles

An International Competency Framework for High-Quality Workforce Development in Integrated Care (IC): A Modified Delphi Study Among Global Participants.

There have been increasing calls in the literature recommending training in integrated care (IC) for health and social care professionals. Although studies have focused on different stakeholders' perceptions of education and training, there is no consistent definition of the key competencies or approach to implementing these competencies among health and social care providers. This study used a modified Delphi consensus-building method with global panellists with experience in delivering and designing training in IC to ascertain which competencies are important in an international framework guiding workforce development in IC. A four-step methodological process was used. First, a scoping review identified a potential list of competencies and features of education and training in IC. Second, predefined criteria were used to identify global panellists with IC education experience. Third, two anonymous iterative Delphi rounds were conducted to (1) reach a consensus on the level of importance of the competencies and key themes to be included and (2) identify existing models of training in IC. This was followed by the analysis of the Delphi study and presentation of the results. A list of eight domains and 40 competencies was generated. Twenty-one panellists reviewed the competencies in the first and second round. The highest importance rankings were allocated to person-centred care, interprofessional teamwork and care coordination. The lower-ranking domains focused on professional workforce attributes. The study provides a global consensus on the competencies required for workforce training and development in IC and offers recommendations on how these competencies can be implemented in higher education and vocational institutions and workplace settings. The results will be useful for developing policy and curriculum by health and education providers and accreditation bodies.

The impact of family systems and social networks on substance use initiation and recovery among women with substance use disorders.

While social networks influence individuals with substance use disorders (SUDs), the mechanisms for such influence are under-explored among women who use drugs. This study triangulates the perspectives of criminal justice professionals, SUD treatment professionals, and women with past and current experiences with substance use to explore these dynamics. We conducted semistructured interviews (N = 42) in 2022 with women with current or past opioid use disorder (n = 20), SUD treatment professionals (n = 12), and criminal justice professionals (n = 10) who work with women with opioid use disorder. Interviews centered around participants' backgrounds, perceived barriers and facilitators to medications for opioid use disorder (MOUD) treatment, and gender-specific issues in MOUD treatment. All interviews were audio-recorded, transcribed, and deidentified. We used a four-step qualitative data analysis process to code transcripts. Across these participants' accounts, we identified mechanisms by which women's social networks influenced their opioid use trajectories: intergenerational substance use, family support and strain, intimate partner influence, and peer support and pressure. Overall, the emergent themes in the present study reflect the embedded nature of support within social systems. Women who had access to and engaged with various forms of social support tended to be those who use/used MOUD and self-identified as in recovery. Combining MOUD treatment with psychosocial interventions allows women to heal from trauma, learn effective coping skills, and receive valuable resources to support recovery. Interventions focusing on family resilience and peer recovery support can disrupt the cycle of addiction and promote MOUD treatment success. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluation of CH4/N2 separation performances on ultra-microporous FDCA-based MOFs using experimental and numerical methods

A comprehensive investigation was conducted to explore the adsorption behaviors of CH4 over N2 on ultra-microporous Al/Zr-FDCA frameworks, which were synthesized specifically using the eco-friendly and bio-sourced 2,5-furandicarboxylic acid (FDCA). Characterization results revealed that both Al-FDCA and Zr-FDCA exhibited similar specific surface area and surface groups, leading to comparable methane uptake per-unit mass at atmospheric pressure. However, the presence of Zr nodes generated ultra-micropores around 0.43 nm in size, leading to a pronounced affinity for CH4. Zr-FDCA demonstrated a higher CH4/N2 selectivity (8.90) calculated from the isotherms compared to Al-FDCA (3.86). Furthermore, breakthrough experiments indicated that under the same dynamic conditions, Zr-FDCA exhibited 1.5 times higher CH4 uptake per unit volume and 2.5 times higher CH4/N2 selectivity when compared to Al-FDCA. Initially, a four-step VPSA process was simulated to investigate the separation of CH4/N2 mixture, in which the effects of feed-gas flow rate, adsorption time, adsorption pressure, and desorption pressure in VPSA cycle were extensively evaluated to enhance the purity and recovery of methane. Subsequently, a six-step process was employed for further optimization, achieving a purity of 95.9 % and a recovery of 99.1 %. The obtained results demonstrated the reliability of the established model and highlighted the significant potential of Zr-FDCA for CH4/N2 separation.

Supervising Undergraduate Law Students’ Dissertations: A Four-Step Review

The literature on supervision focuses primarily on postgraduate supervision. Whilst there is some scholarship on supervising undergraduates, there is essentially no scholarship on supervising undergraduate law students specifically. This article investigates undergraduate law students’ attitudes toward dissertation supervision. In 2020–2021, the lead author supervised 12 LLB(Hons) students’ 15,000-word dissertations at the University of Auckland. The supervision process was in four parts: reviewing the proposal; reviewing the introduction; reviewing the first draft (10,000 words); and reviewing the second draft (15,000 words). The authors invited the supervisees to complete a survey on their supervision experience. This article surveys the literature on the supervision of undergraduate students, describes the lead author’s supervision process, and presents and discusses the study results. Students reported that each step in the four-step review process was helpful for their dissertation progress and achieving their goals for the dissertation, and provided useful feedback that was more useful than anticipated for each step in the review process. Students also reported that they received sufficient and appropriate contact with their supervisor, and sufficient guidance from the supervisor — allowing sufficient autonomy. The article also identifies students’ perceived difficulties and reflects on ways the process could mitigate those difficulties.

A comparative analysis of movement and physical activity in early childhood teacher education policy in five Nordic countries.

The aim of this study is to investigate the integration of movement and physical activity (MoPA) within Early Childhood Teacher Education (ECTE) policies across Denmark, Finland, Iceland, Norway, and Sweden. This knowledge can inform the development of ECTE policies and practices that promote MoPA in Early Childhood Education and Care (ECEC) in Nordic countries and other countries worldwide. In this study, a Nordic cross-national network of researchers collaborated in investigating policy documents at the national and university levels, which govern the education of ECEC teachers. This study was inspired by the Non-affirmative Theory of Education, which provides a framework for understanding the various influences on curricular development in higher education. Based on this, a four-step comparative analytical process of national and university documents across the Nordic countries was conducted. It included keyword search for MoPA related courses and a qualitative description of MoPA in ECTE. Thus, a combination of investigations of policy documents at the national and university level and expert knowledge set a solid foundation for international comparison. The comparative analysis of MoPA in ECTE reveals diverse approaches influenced by national and university policies. A central theme is the variability in MoPA integration across these nations. Finland and Norway prioritize MoPA with independent mandatory courses. In Iceland, compulsory MoPA courses exist at one of two universities, and in Sweden at three out of 19. All university colleges in Denmark offer an elective course. Furthermore, learning objectives related to MoPA are, to varying degrees, part of the internships in the countries, with Sweden being an exception. In the participating countries, the teachers decide the content of the MoPA courses with little guidance, support, and agreement on essential MoPA content within and across the ECTE's. Norway has established guidelines, and in Finland, there is a network of ECTE Physical Education (PE) educators, which, to some degree, increases the consistency and quality of MoPA in education. The Nordic countries present diverse MoPA integration approaches rooted in national policies and educational traditions. The findings emphasize the necessity of independent and mandatory MoPA courses, integration of MoPA into internships and promoting networks across the educational and academic sectors to equip future early childhood educators with competencies for fostering physical activity, motor development and children's well-being.

Name Bias: Application Through the 4-Step Process Using Foundations of Critical Theory in Organizational Settings

The phenomenon of name bias in the workplace has received scholarly attention, particularly within organizational dynamics, diversity, equity, and inclusion efforts. The article aims to identify the ramifications of name bias within organizational structures and how to mitigate it using the foundations of critical theory. The article provides a comprehensive overview of name perception within organizational settings, mainly focusing on the potential biases leading to unintentional or deliberate favoring of individuals in hiring decisions or discrimination based solely on their names. This research highlights the detrimental impact of name bias on organizational dynamics, proving that it hinders progress toward a more diverse, inclusive, and equitable workplace culture. The article conducts a literature review of articles in peer-reviewed journals selected from such academic resources as ABI/INFORM Collection, Business Source Complete (EBSCO Host), Google Scholar, JSTOR and ProQuest Research Library using the keywords “critical theory”, “diversity”, “equity”, “inclusivity” and “name bias”. Application of critical theory in the hiring process empowers organizations to deconstruct systemic biases, fostering a fairer, more inclusive environment for all candidates. This approach enables scrutiny of neutrality of hiring practices, exposing how seemingly objective criteria can obscure underlying biases rooted in race. Moreover, it unveils the social and cultural significance embedded in names, often intertwined with stereotypes and power dynamics. Organizations are advised to implement a four-step process: 1) raising awareness among staff involved in the hiring process about unconscious bias, including name bias, and its impact on decision-making, and the historical and social context of bias; 2) anonymous screening which is the blind recruitment practice, particularly in the initial stages of the hiring process, which involves removing personal information such as names from resumes to minimize unconscious name bias; 3) diverse hiring panels that include individuals from various racial backgrounds and give voices to marginalized groups. This can help reduce the impact of individual biases and promote a more inclusive decision-making process; 4) clear and standardized criteria for evaluating candidates to ensure that assessments are based on relevant skills, qualifications, and experience rather than subjective judgements influenced by names. The use of inclusive language in job descriptions and communications is needed to avoid terms that may be associated with certain demographic groups. The research findings can serve as a valuable resource for organizations looking for solutions to mitigate the phenomenon of name bias.

Donor screening for fecal microbiota transplantation with a direct stool testing-based strategy: a prospective cohort study

Fecal microbiota transplantation (FMT) is effective against recurrent Clostridioides difficile infection (rCDI), but its safety is jeopardized by the potential transmission of pathogens, so international guidelines recommend either a quarantine or a direct stool testing. Whereas reports of the quarantine-based approach are emerging, data on the direct testing-based approach are not available. Our aim is to report outcomes of a donor screening framework for FMT including direct stool testing.In this prospective cohort study, all donor candidates recruited at our FMT centre underwent a four-step screening process to be enrolled as actual donors. Each collected stool donation was then evaluated with a direct stool testing including a molecular assay for gut pathogens and a culture assay for multi-drug resistant organisms (MDRO).From January 2019 to June 2023, 72 of 227 candidates (32%) were considered eligible and provided 277 stool donations. Ninety-nine donations (36%) were discarded for positivity to intestinal pathogens, most commonly enteropathogenic Escherichia coli (n = 37) and Blastocystis hominis (n = 20). Overall, 337 stool aliquots were obtained from 165 approved donations. All suspensions were used for patients with rCDI, and no serious adverse events or clinically evident infections were observed at 12 weeks after procedures.In our study, screening of donor faeces including direct stool testing led to the discard of a considerable rate of stool donations but was also extremely safe. This approach may represent a reliable strategy to guarantee the safety of FMT programs, especially in countries with high prevalence of MDRO.

Digital Twin and Deep Reinforcement Learning-Driven Robotic Automation System for Confined Workspaces: A Nozzle Dam Replacement Case Study in Nuclear Power Plants

Robotic automation has emerged as a leading solution for replacing human workers in dirty, dangerous, and demanding industries to ensure the safety of human workers. However, practical implementation of this technology remains limited, requiring substantial effort and costs. This study addresses the challenges specific to nuclear power plants, characterized by hazardous environments and physically demanding tasks such as nozzle dam replacement in confined workspaces. We propose a digital twin and deep-reinforcement-learning-driven robotic automation system with an autonomous mobile manipulator. The study follows a four-step process. First, we establish a simplified testbed for a nozzle dam replacement task and implement a high-fidelity digital twin model of the real-world testbed. Second, we employ a hybrid visual perception system that combines deep object pose estimation and an iterative closest point algorithm to enhance the accuracy of the six-dimensional pose estimation. Third, we use a deep-reinforcement-learning method, particularly the proximal policy optimization algorithm with inverse reachability map, and a centroidal waypoint strategy, to improve the controllability of an autonomous mobile manipulator. Finally, we conduct pre-performed simulations of the nozzle dam replacement in the digital twin and evaluate the system on a robot in the real-world testbed. The nozzle dam replacement with precise object pose estimation, navigation, target object grasping, and collision-free motion generation was successful. The robotic automation system achieved a 92.0%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$92.0\\%$$\\end{document} success rate in the digital twin. Our proposed method can improve the efficiency and reliability of robotic automation systems for extreme workspaces and other perilous environments.

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

Artificial intelligence (AI) has repeatedly been shown to encode historical inequities in healthcare. We aimed to develop a framework to quantitatively assess the performance equity of health AI technologies and to illustrate its utility via a case study. Here, we propose a methodology to assess whether health AI technologies prioritise performance for patient populations experiencing worse outcomes, that is complementary to existing fairness metrics. We developed the Health Equity Assessment of machine Learning performance (HEAL) framework designed to quantitatively assess the performance equity of health AI technologies via a four-step interdisciplinary process to understand and quantify domain-specific criteria, and the resulting HEAL metric. As an illustrative case study (analysis conducted between October 2022 and January 2023), we applied the HEAL framework to a dermatology AI model. A set of 5420 teledermatology cases (store-and-forward cases from patients of 20 years or older, submitted from primary care providers in the USA and skin cancer clinics in Australia), enriched for diversity in age, sex and race/ethnicity, was used to retrospectively evaluate the AI model's HEAL metric, defined as the likelihood that the AI model performs better for subpopulations with worse average health outcomes as compared to others. The likelihood that AI performance was anticorrelated to pre-existing health outcomes was estimated using bootstrap methods as the probability that the negated Spearman's rank correlation coefficient (i.e., "R") was greater than zero. Positive values of R suggest that subpopulations with poorer health outcomes have better AI model performance. Thus, the HEAL metric, defined as p (R>0), measures how likely the AI technology is to prioritise performance for subpopulations with worse average health outcomes as compared to others (presented as a percentage below). Health outcomes were quantified as disability-adjusted life years (DALYs) when grouping by sex and age, and years of life lost (YLLs) when grouping by race/ethnicity. AI performance was measured as top-3 agreement with the reference diagnosis from a panel of 3 dermatologists per case. Across all dermatologic conditions, the HEAL metric was 80.5% for prioritizing AI performance of racial/ethnic subpopulations based on YLLs, and 92.1% and 0.0% respectively for prioritizing AI performance of sex and age subpopulations based on DALYs. Certain dermatologic conditions were significantly associated with greater AI model performance compared to a reference category of less common conditions. For skin cancer conditions, the HEAL metric was 73.8% for prioritizing AI performance of age subpopulations based on DALYs. Analysis using the proposed HEAL framework showed that the dermatology AI model prioritised performance for race/ethnicity, sex (all conditions) and age (cancer conditions) subpopulations with respect to pre-existing health disparities. More work is needed to investigate ways of promoting equitable AI performance across age for non-cancer conditions and to better understand how AI models can contribute towards improving equity in health outcomes. Google LLC.

Xanthones with multiple roles against diabetes: their synthesis, structure-activity relationship, and mechanism studies.

A four-step synthetic process has been developed to prepare 1,3,5,8-tetrahydroxyxanthone (2a) and its isomer 1,3,7,8-tetrahydroxyxanthone (2b). 25 more xanthones were also synthesized by a modified scheme. Xanthone 2a was identified as the most active inhibitor against both α-glucosidase and aldose reductase (ALR2), with IC50 values of 7.8 ± 0.5 μM and 63.2 ± 0.6 nM, respectively, which was far active than acarbose (35.0 ± 0.1 μM), and a little more active than epalrestat (67.0 ± 3.0 nM). 2a was also confirmed as the most active antioxidant in vitro with EC50 value of 8.9 ± 0.1 μM. Any structural modification including methylation, deletion, and position change of hydroxyl group in 2a will cause an activity loss in inhibitory and antioxidation. By applying a H2 O2 -induced oxidative stress nematode model, it was confirmed that xanthone 2a can be absorbed by Caenorhabditis elegans and is bioavailable to attenuate in vivo oxidative stress, including the effects on lifespan, superoxide dismutase, Catalase, and malondialdehyde. 2a was verified with in vivo hypoglycemic effect and mitigation of embryo malformations in high glucose. All our data support that xanthone 2a behaves triple roles and is a potential agent to treat diabetic mellitus, gestational diabetes mellitus, and diabetic complications.

Process Development and Scale-Up of a Novel Atypical DAT Inhibitor (S)-CE-123.

Large-scale syntheses of small molecules and kilo laboratories are crucial steps in drug development, especially in advanced stages. (S)-5-((Benzhydrylsulfinyl)methyl)thiazole, (S)-CE-123, a potent, selective, and novel atypical DAT inhibitor, has undergone iterative testing as part of the preclinical evaluation step. This required the process transfer, scale-up, and synthesis of a 1 kg preclinical batch. The Kagan protocol for asymmetric sulfide to sulfoxide oxidation was successfully applied within a four-step synthetic process for the successful upscaling of (S)-CE-123. During the scale-up of the last step, several changes were made to the original synthetic procedure, as with every increase in batch size, new problems had to be overcome. These include, among others, the workup optimization of the last step, the simplification of chromatographic purification, elution modification to improve the purity of the product and saving of workup time. Two washing steps were added to the original procedure to enhance both the yield and the enantiomeric excess value of the final product. The modifications introduced allowed access to a 1 kg (S)-CE-123 batch with a purity >99% and an enantiomeric excess value of 95%.

Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS II) statement: a validated Dutch translation

ABSTRACT Objectives This study primarily aimed to develop a validated Dutch translation of the 28 items of the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) II. A secondary aim was to provide a worked example of a scientifically valid translation process. Methods A four-step process was applied: (1) forward translation, (2) backward translation, (3) quantitative validation (two back-translated English versions vs. original English version), and (4) qualitative validation (one Dutch version vs. original English version), resulting in the final Dutch CHEERS II checklist. Results During quantitative validation, the average scores indicated high language comparability (1.88 (SD 0.70); 1.70 (SD 0.73)) and interpretation similarity (1.77 (SD 0.81); 1.54 (SD 0.74)). Four items required formal revision. In the qualitative validation step, feedback primarily focused on specific terms ‘outcomes,’ ‘benefits and harms,’ ‘(year of) conversion,’ ‘any,’ and ‘characterizing.’ Conclusion Despite English being the common language of science, translating research instruments remains relevant to enhance clarity, accessibility, and inclusivity. The Dutch translation can be used by students, regulators, researchers, or others to report and evaluate reporting of economic evaluations. Our detailed description of the applied methodology can facilitate future translations of research instruments.

SPH code development for X-pinch plasma simulation

We have developed the first smoothed particle hydrodynamics code for investigating X-pinch plasmas driven by pulsed power generators. To achieve the required code performance, we incorporated and discussed appropriate physics models capable of simulating the X-pinch phenomenon across various domains, encompassing equation of state, plasma transport, and radiation effects. The simulations were conducted in full three dimensions using our newly developed code, and we have compared and evaluated the results with experimental data obtained from the X-pinch device at Seoul National University. As a result, our simulations effectively captured the implosion behavior of X-pinch plasma, faithfully reproducing the four-step evolution process commonly observed in typical X-pinch configurations. Furthermore, it provided comprehensive spatiotemporal data on various plasma parameters, including density, temperature, velocity field, and radiated power. Notably, the electron temperature and density at the hot spot well agree with the experimental measurements, validating the accuracy and reliability of the developed simulation code. Additionally, the radiation data exhibited significantly improved accuracy compared to previous simulation results, confirming the effectiveness of the proposed radiation model, and it provides valuable insights into the X-pinch hot spot formation.

A framework for evaluating the diversity of clinical trials

ObjectivesThe topic of diversity in clinical trials is rising to the forefront of many conversations in evidence-based medicine, and efforts are being made to improve the diversity of clinical trials. However, there is little uniformity in the methods used to evaluate these efforts. In this article, we describe our Clinical trial Diversity Rating (CDR) framework and the development process, including the broader considerations for evaluating the demographic diversity of clinical trials and their implications, and demonstrate its use through an illustrative example. Study Design and SettingThe development of the framework was a four-step process, including a scoping review, a cross-sectional study, creation of the tool, and integration of feedback from an advisory group. ResultsOur scoping review identified 110 publications that examined clinical trial diversity. Race/ethnicity, sex, and age were the most common characteristics evaluated. About 85% clearly defined the benchmark used for evaluation, but less than half (48%) used disease prevalence as the benchmark. Only 64% of studies defined what would be considered adequate representation. The cross-sectional study, which applied some of the approaches identified in the literature, helped to identify the complexities of evaluating multinational trials and certain demographic characteristics. Key decisions for the CDR framework, such as the demographic characteristics to be evaluated, the benchmark and thresholds for evaluation, and how these factors contribute to the overall rating of clinical trial diversity, were informed by the two earlier phases and feedback from an advisory group. ConclusionThe CDR framework provides an objective and transparent approach to evaluating clinical trial diversity. Groups such as Health Technology Assessment bodies, clinical trial regulators, policymakers, journal editors, and individual researchers can use this tool to examine, monitor, and improve diversity in clinical trials.

Fiber-level modeling of 3D braided preforms using virtual braiding method

High fidelity geometry models of the preforms are essential in mechanical property analysis for composite materials. The paper presents a virtual braiding method to generate digital material twins of 3D braided preforms. The four-step 3D braiding process is simulated based on the concept of virtual fiber and according to the rule of yarn movement. Fiber-level models of the preform are constructed which display the micro-scale architectures explicitly, including compressive deformations of yarn cross-sections and variations of yarn paths. The Micro-CT test is employed to investigate the internal fiber structures of 3D braided preform and quantitatively verify the accuracy of the proposed modeling method. Influence of the braiding parameters, such as yarn tension and arrangement angle in the initial state on geometric parameters of the preform is then investigated.

The EMPOWER program: a history and guide for increasing diversity using integrated research and education.

The prevalence and pervasive nature of emerging chemicals of concern have created widespread environmental injustice apprehensions in vulnerable communities. To alleviate and address these concerns, identifying, engaging, and training a diverse environmental health research workforce will be critical and necessary steps to combat and prevent the consequences of environmental injustice. While there is an obvious need to enhance diversity in environmental health research, this process is hampered by facets of systemic racism that reduce access to educational resources needed to build interest and knowledge in students and teachers. We present here a historical perspective to offer a guide for building programs and relationships with underserved schools to help overcome limiting factors that have plagued certain public school systems. With the proper training and mentorship, the untapped workforce present within these schools will be empowered to understand and address current and emerging environmental health and safety threats. Through this transformative 8-week high school research program, we will develop well-prepared, ethical researchers committed to scientific inquiry, intensive fieldwork, and collaborative problem solving to address environmental health challenges. Following the four-step risk assessment process, students, teachers, and faculty mentors will work collaboratively to identify toxicants, potential hazards and risks, and environmental disparities in urban neighborhoods, which provides the necessary training to formulate critical thinking skills for use in academic or nonacademic careers.NEW & NOTEWORTHY The Engaging Multidisciplinary Professional Opportunities for Women in Environmental Research (EMPOWER) program is a one-of-a-kind research summer experience for minority female high school students in the state of Georgia. In addition, this program provides high school teachers with hands-on experiences that can be adapted to use in the classrooms. This combination of lab and field research immerses participants in understanding urban environmental exposures and their health effects. The EMPOWER program was established to meet the critical need for increasing diversity in science, technology, engineering, and mathematics.

Polarized hydroxyapatite, a ceramic nanocatalyst to convert automotive carbon emissions into ethanol

This paper is aimed to develop ultrananoporous polarized hydroxyapatite (HAp) catalyst and evaluate its performance in transforming CO2 into useable ethanol considering three different scenarios: 1) a batch reaction using a mixture of CO2 and CH4 as feeding gas; 2) a batch reaction using as reactant exhaust gases captured from the fumes of diesel vehicles; and 3) a continuous flow reaction using pure CO2 as feeding gas. Ultrananoporous HAp scaffolds were prepared using a four-step process: 1) as prepared HAp powder was mixed with 60% wt. of a commercial hydrogel at low-temperature; 2) the resulting paste was shaped at low temperature to reduce the adhesion between the metallic tools and the mixture, enhancing the homogeneity of the sample; 3) the shaped paste was calcined in air by applying 1000 ºC during 2 h to eliminate the hydrogel; and 4) an external DC electric field of 3 kV/cm was imposed at 1000 ºC during 1 h to the calcined scaffold. The resulting polarized scaffolds both ultrananoporosity and catalytic activation. Thus, the mass: volume ratio of the ultrananoporous catalyst was much lower than that of conventional HAp catalyst (718 vs 5093 g/L. Furthermore, the ethanol yield was much higher (up to a factor of ×21.4) for the ultrananoporous catalyst than for the compact one, allowing us to conclude that ultrananoporous polarized HAp catalyst is a promising technology for transforming CO2 into valuable chemical products from highly polluted gases, especially those coming from road, sea and air transport.

Quantitative study on the photoemission of AlGaN nanoarrays based on the three-dimensional transportation within a four-step process.

Photocathodes play a crucial role in photoelectronic imaging and vacuum electronic devices. The quantum efficiency of photocathodes, which determines their performance, can be enhanced through materials engineering. However, the quantum efficiency of conventional planar photocathodes remains consistently low, at around 25%. In this paper, we propose what we believe is a novel structure of AlGaN nanowire array to address this issue. We investigate the photoemission characteristics of the nanowire array using the "four-step" process, which takes into account optical absorption, electron transportation, electron emission, and electron collection. We compare the quantum efficiency of nanowire arrays with different structure sizes and Al components. After studying the effect of incident light at various angles on the nanowire array photocathode, we identify the optimal dimensional parameters: a height of 400∼500 nm and a wire width of 200∼300 nm. Furthermore, we improved the collection efficiency of the photocathode by introducing a built-in/external electric field, and obtained a 104.4% enhancement of the collection current with the built-in electric field, meanwhile the photocurrent was increased by 87% compared to the case without the external electric field. These findings demonstrate the potential of optimizing photocathode performance through the development of a novel model and adjustment of parameters, offering a promising approach for photocathode applications.

Chain-of-event prompting for multi-document summarization by large language models

PurposeIn the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve efficiency. Recently, zero-shot prompting in large language models (LLMs) has demonstrated remarkable performance on various language tasks. However, generating a very “concise” multi-document summary is a difficult task for it. When conciseness is specified in the zero-shot prompting, the generated multi-document summary still contains some unimportant information, even with the few-shot prompting. This paper aims to propose a LLMs prompting for multi-document summarization task.Design/methodology/approachTo overcome this challenge, the authors propose chain-of-event (CoE) prompting for multi-document summarization (MDS) task. In this prompting, the authors take events as the center and propose a four-step summary reasoning process: specific event extraction; event abstraction and generalization; common event statistics; and summary generation. To further improve the performance of LLMs, the authors extend CoE prompting with the example of summary reasoning.FindingsSummaries generated by CoE prompting are more abstractive, concise and accurate. The authors evaluate the authors’ proposed prompting on two data sets. The experimental results over ChatGLM2-6b show that the authors’ proposed CoE prompting consistently outperforms other typical promptings across all data sets.Originality/valueThis paper proposes CoE prompting to solve MDS tasks by the LLMs. CoE prompting can not only identify the key events but also ensure the conciseness of the summary. By this method, users can access the most relevant and important information quickly, improving their decision-making processes.

CIDE proteins and their regulatory mechanisms in lipid droplet fusion and growth.

The cell death-inducing DFF45-like effector (CIDE) proteins, including Cidea, Cideb, and Cidec/Fsp27, regulate various aspects of lipid homeostasis, including lipid storage, lipolysis, and lipid secretion. This review focuses on the physiological roles of CIDE proteins based on studies on knockout mouse models and human patients bearing CIDE mutations. The primary cellular function of CIDE proteins is to localize to lipid droplets (LDs) and to control LD fusion and growth across different cell types. We propose a four-step process of LD fusion, characterized by (a) the recruitment of CIDE proteins to the LD surface and CIDE movement, (b) the enrichment and condensate formation of CIDE proteins to form LD fusion plates at LD-LD contact sites, (c) lipid transfer through lipid-permeable passageways within the fusion plates, and (d) the completion of LD fusion. Lastly, we outline CIDE-interacting proteins as regulatory factors, as well as their contribution in LD fusion.