cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Applying stable isotope tracing methods to assess mineral weathering by soil fungi
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: Plant-fungal associations extend the photosynthetic pathway throughout the soil environment, allowing for the transport and stabilization of carbon belowground in the form of fungal biomass, exudates, and organic acids. Soil fungi have demonstrated a responsiveness to their environment and are capable of allocating growth and altering the composition of organic exudates in response to contrasting mineral substrates and nutrient conditions. While fungal hyphae operate at the microscale, fungal networks span millions of kilometers worldwide, significantly contributing to soil formation, mineral weathering, and nutrient cycling processes at landscape scales. However, it is difficult to assess the active growth of the soil fungal population as a majority of the fungal network is dormant or senesced. This work will utilize stable isotope tracing methods (13C) to investigate the active use of plant-derived carbon by soil fungi in controlled laboratory experiments. Fungal-accessible mesh bags containing unweathered rock (quartz, granite, basalt) will be buried in the soil of sorghum growth chambers as part of a 13CO2-enriched experiment at Lawrence Livermore National Laboratory (LLNL). Upon retrieval, Nanoscale Secondary Ion Mass Spectrometry (NanoSIMS) will be utilized to map and characterize the 13C-enrichment of fungal biomass and mineral-associated exudates. To investigate the integration of 13C into fungal DNA, density gradient separations will be performed and High-Throughput Stable Isotope Probing (HT-SIP) will be employed, allowing for sequencing (amplicon or metagenomic) and taxonomic and functional identification. Ultimately this work aims to leverage stable isotope tracing methods to advance our understanding of the use and integration of photosynthetic carbon by soil fungi. This work coincides well with the DOE-BER mission of understanding the role of Earth's biogeochemical systems in climate-geosphere-biosphere interactions through the study of environmental systems at different spatial scales. More specifically, this research aims to advance a mechanistic understanding of the biological drivers that influence enhanced rock weathering, and ultimately, the distribution and persistence of organic carbon in soil.
Supplementary_Material_1 – Supplemental material for The Development of a Quality of Life Scale for Informal Carers for Older Adults
Creators: name: Maltby, John
name: Hogervorst, Eef
name: Stephan, Blossom
name: Sun, Xu
name: Pinyan Tang
name: Law, Effie
name: Mukaetova-Ladinska, Elizabeta B.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine

description: Supplemental material, Supplementary_Material_1 for The Development of a Quality of Life Scale for Informal Carers for Older Adults by John Maltby, Eef Hogervorst, Blossom Stephan, Xu Sun, Pinyan Tang, Effie Law and Elizabeta B. Mukaetova-Ladinska in Gerontology and Geriatric Medicine
title: Retinal Cell Therapy Now and Future
Creators: name: Takahashi, Masayo
Publisher: name: MyCoRe Community
Year: 2024
Subjects: subject: Retina
subject: Netzhaut
subject: Cell Therapy
subject: Gentherapie
subject: Gene Therapy
subject: iPS Cells
subject: Induzierte pluripotente Stammzelle
subject: 610

description: Our goal is to develop cell and gene therapies for outer retinal layer diseases. First, we performed an autologous iPS cell sheet transplantation of the retinal pigment epithelium (RPE) to demonstrate the safe use of iPS cells from 2013. The cell sheet still works. In a 2017 allogeneic transplant clinical study, we confirmed that the immune response can be controlled by topical steroids alone if HLA mismatching is avoided, which led us to the HLA partial KO iPS cell pipeline. Currently, we have expanded our target diseases to include RPE-impaired diseases and are using RPE strips in our phase 2 clinical study for easy transplantation through small holes. The greatest challenge in the reconstruction of the outer retinal layer is the replacement of photoreceptors. The transplantation of retinal iPSC organoids was performed last year in two cases of retinitis pigmentosa. Based on these experiences, we believe that we should create therapies for each category of outer retinal diseases. In addition, since replacement therapies are surgical treatments, there is a gap between the end product and the treatment that does not exist in drug development. Therefore, for ideal treatment, we must strictly select the right cases for each therapy and prepare clinical methods such as examination tests, surgical techniques, etc. Otherwise, cell therapy will become an expensive gamble. As far as cell production is concerned, all the equipment in the facility is usually validated, but the cell culture technique is not validated, so the condition of the cells varies from person to person. For this problem, we use a humanoid robot that performs the same manipulation as the silent technical staff to ensure stable cell quality at all times. There are many differences between cell therapy and small molecule drugs.
description: Transplantation: Ethics, Techniques, Immunology, p. 105
Appendix_SPPQ – Supplemental material for Risk and Reform: Explaining Support for Constitutional Convention Referendums
Creators: name: Blake, William D.
name: Anson, Ian G.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120505 Regional Analysis and Development
subject: FOS: Social and economic geography

description: Supplemental material, Appendix_SPPQ for Risk and Reform: Explaining Support for Constitutional Convention Referendums by William D. Blake and Ian G. Anson in State Politics & Policy Quarterly
Developing the model of the neighborhood educational center school
Publisher: name: The University Of Kurdistan
Year: 2021

description: The present study seeks to determine the components and features of school as a\nneighborhood educational center. When paying attention to and responding to the needs and\ndesires of students, parents and the community is the main mission of a school and in line\nwith this goal, in addition to using the actual facilities, seeks to discover potential facilities\ninside and outside the school, an important thing is happening, and that is the penetration of\nthe school in its local context. When the needs and wants of the audience are taken into\naccount in a school and there is hope for local facilities, and utilization of spiritual, human\nand natural resources, the school grows and develops. Accordingly, the present study was\nconducted using a qualitative approach and grounded theory method on a population\nconsisting of 24 experts in education, as well as university professors, Farhangian University,\nEducation Research Institute and school principals. The research sample was selected using\npurposive and snowball sampling and data collection was done through semi-structured\ninterviews. Three stages of open, axial and selective coding are used in data analysis and the\nmodel of Neighborhood Educational Center School is divided into six categories: causal\nconditions, axial phenomenon (Neighborhood Educational Center School), mediating\nconditions, intervening conditions, Neighborhood Educational Center school strategies and\nconsequences. And was presented. As a result, 28 core categories and 50 subcategories were\nobtained. The core category of the proposed model is the neighborhood educational center\nschool, which includes 3 core categories (the concept of the neighborhood educational center\nschool, the main features and elements of the neighborhood educational center school and 26\nsub-categories. Also, control and evaluation by participating members (review of the\ndesigned model and problem solving) and the criteria of trustability, transferability,\ngenerality, and reliability were used
Enhancing Fire Behavior Modeling with Real-Time Fuel Moisture Analysis under Climate Change
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: Fuel moisture is crucial in assessing the fire potential of forest fuels. It is determined by the dry mass and water content of fuels, influenced by water potential (an indicator of plant water stress), and varies with environmental conditions and plant traits over days to months. In both dead and live fuels, moisture content can vary seasonally by 100% and diurnally by 10%, with significant differences among fuel types. Contemporary fire behavior models incorporate fuel moisture as a key variable but often rely on limited and generalized fuel classifications based on average estimations of fuel size and type. This simplification overlooks the variability in fuels and their interactions with environmental conditions. Additionally, changing climate regimes and extreme drought conditions necessitate an updated understanding of moisture response in forest fuels, especially during wildfire seasons. Our research aims to bridge this gap by investigating real-time variations in fuel moisture content from a biophysical perspective. By investigating water transport processes in the soil-plant-atmosphere continuum for live and dead forest fuels, we aim to link water potential to fuel moisture using pressure–volume curves. We will also analyze how climatic factors such as precipitation, temperature, and evaporation affect fuel moisture from individual plants to entire forests and ecosystems. Field measurements of fuel moisture content will be supplemented with remote sensing data from MODIS and Sentinel-1. These insights will be integrated into ensemble deep learning models for real-time updates and predictions. By providing high-resolution and real-time fuel moisture estimation and prediction, and integrating these data into existing fire models, such as QUIC-Fire and FIRETEC, we aim to enhance these models' capabilities from ideal experimental landscapes and fuel structures to real-world scenarios. Our research seeks to make contributions to the field of fire behavior modeling and prescribed fire planning, enhancing the accuracy and reliability of fire management strategies. This project will be a collaborative effort between Los Alamos National Lab and UC Irvine. The fuel moisture measurement experiment will be conducted at the national lab's facilities, while workstations and high-performance computing resources at UCI will be used for data analysis and modeling.
Harnessing the compositional space for designing resilient tungsten alloys for fusion applications
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: Hydrogen fusion offers a groundbreaking, carbon-free energy source that, with advanced engineering, eliminates the risk of catastrophic failures. Recent breakthroughs in laser-based magnetic fusion experiments signal the first instances of net fusion energy gain, underscoring the urgent need for engineering solutions to operationalize fusion energy. In magnetic fusion energy systems, challenges such as extreme temperatures and intense plasma radiation demand unprecedented levels of containment. Tungsten, with its high melting point and superior thermal and mechanical properties, emerges as a leading candidate for plasma-facing materials. Nevertheless, tungsten's exposure to high-energy particles and severe thermal conditions can induce irradiation damage, manifesting as void swelling and progressive material degradation. Developing tungsten alloys with improved irradiation resistance, reduced void swelling, and enhanced high temperature durability is crucial for the long-term success and safety of fusion reactors. This research program aims to demonstrate an artificial intelligence (AI) approach to efficiently sample the vast compositional space for accelerating the design of ultrastrong tungsten alloys with improved radiation swelling resistance. By collaborating with a scientist at LLNL, my objective is to deploy a closed-loop design framework combining recent AI, scientific machine learning, and atomistic simulations. Utilizing on-lattice atomic structure and chemistry model developed by my advisor, alongside machine learning models from our lab mentor, I plan to model the entire refractory space. Our goal is to accurately and efficiently predict defect diffusion barriers, aiming to trap and localize defects and reduce void growth through precise chemical manipulation. This project aligns perfectly with my training and career objectives, offering an invaluable opportunity for specialized training at a national laboratory. Through the In-Residence Fellowship, I will access world-class computational resources and receive comprehensive mentorship from both my UC dissertation advisor and a national lab mentor. This experience will enhance my technical skills, broaden my scientific network, and support my ambition to become a scientist at a national laboratory, contributing to scientific advancements in material science and renewable energy research.
Achieving fast ignition with electron heating for fusion energy applications
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: Fusion has been pursued as a source of clean and renewable energy for decades. The recent breakthrough in achieving controlled ignition at LLNL’s National Ignition Facility has sparked renewed interest in advanced methods for Inertial Fusion Energy (IFE). However, the conventional ignition method relies on intense laser beams to drive both compression and heating in the target, which restricts the maximum efficiency and feasibility for energy applications. Electron Fast Ignition (EFI) is an exciting alternative that decouples these processes by first compressing the fuel and then heating the target with laser-generated electrons, which can yield more energy for fusion. Generating hot electrons from lasers is very efficient but depositing their energy into the fusion fuel poses a two-fold challenge: 1) electrons tend to scatter away before reaching the target, and 2) many of the electrons are too energetic to stop in the target center. In order to tackle these two challenges LLNL has recently funded an IFE Strategic Initiative in which the lab mentor is leading a study of the complex electron physics in EFI. As part of this broader campaign, the fellowship work will focus on developing a comprehensive understanding of how electron collimation depends on resistivity gradients – these are responsible for pushing electrons into collimated beams. Direct measurement of the resistivity gradient is challenging; instead, it must be inferred from electron conductivity models together with temperature measurements – both are crucial for understanding the collimation mechanism. The measurements will be made utilizing the lab’s unique time-resolved spectroscopy and electron spectroscopy instruments at facilities such as LLNL’s Jupiter Laser Facility. Selecting conductivity models requires caution, especially in the low-temperature regime where matter is not yet fully ionized. For this, we will leverage expertise from my previous graduate work in detailed electronic structure modeling for regimes where simpler models don’t work as well. The same experimental and modeling techniques will address the second challenge of stopping electrons in the target center. The goal of this work is to provide first-of-their-kind benchmark measurements and to improve the predictive capability of codes used for future EFI campaigns, enabling progress toward a clean fusion energy future.
The effect of the quality of perceived services on the citizenship behavior of football school students by determining the mediating role of perceived risk
Publisher: name: The University Of Kurdistan
Year: 2021

description: The method of the present study was descriptive-correlation with structural equations approach\nand applied in terms of purpose. The statistical population of the study includes all students of\nfootball schools in Tehran province. Cluster random sampling method was used to select the\nsample. The measurement tools of the present study include demographic characteristics of the\nparticipants in the study, Parasuraman, Zeithaml & Berry (1988) Perceived Service Quality\nAssessment Questionnaire, Groth (2005) Customer Behavior Questionnaire and Perceived\nRisk Questionnaire Carroll, Connaught, Spengler & Byon (2014). Kolmogorov-Smirnov test\nwas used to show the normality of data distribution and bootstrap methods and structural\nequations using PLS and SPSS software were used to analyze the research data. The results\nshowed that the quality of perceived services and citizenship behavior (β = 0.852); (T = 15.549)\nat the level of significance (P <0.01); Indirect effect of perceived service quality and citizenship\nbehavior through perceived risk (β = -0.027); T-statistic (T = 1.774) is at the level of\nsignificance (P <0.076). Considering that perceived risk is one of the determining elements in\nthe acceptance and intention of students to use football schools and their citizenship behavior\nis one of the factors reducing this risk, it is suggested. Football school principals to increase\nthe quality of perceived services and student citizenship behavior among their staff, coaches\nand customers so that they can identify different dimensions of perceived risk among their\nschool students for better productivity. And make the necessary plans to advance marketing\ngoals.
Antiferromagnetic spintronics for advanced memory and computing
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: This project explores a groundbreaking approach to microelectronics: antiferromagnetic (AFM) spintronics. AFM materials hold immense promise for creating devices significantly faster, denser, and more energy-efficient than current ferromagnet (FM)-based information technology. Their unique properties, including ultrafast spin dynamics and immunity to magnetic fields, make them ideal for next-generation non-volatile memory and neuromorphic computing applications. Our multidisciplinary team, comprised of leading researchers from four UC campuses (UCD, UCLA, UCR, and UCSD) across academic ranks and Lawrence Livermore National Lab (LLNL), will leverage unique collaboration opportunities to unlock the full potential of AFM spintronics. We will tackle the following critical challenges: (1) designing and controlling the magnetic anisotropy energy landscape; (2) efficiently detecting and manipulating the AFM order parameter (Néel vector); (3) wafer-scale heterostructure synthesis. This project fosters a collaborative environment where senior researchers with world-class expertise in spintronics and magnetic materials will mentor early career scientists, trainees, and students from Physics, Materials Science & Engineering (MSE), Electrical & Computer Engineering (ECE), and Quantum Simulations. It will ensure the next generation of leaders is equipped to advance this transformative field. This research holds the promise of significant scientific discoveries in AFM spintronics, solidifying UC's global leadership in AFM spintronics. This will open new avenues for multidisciplinary, multi-institutional collaborations, enabling us to compete for extramural funding opportunities aligned with national priorities outlined by the CHIPS Act, such as DOE Energy Frontier Research Centers (EFRC) and DoD Multidisciplinary Research Initiative (MURI).
Ialyssus tuberculatus
Creators: name: Martins, Ubirajara R.
name: Galileo, Maria Helena M.
name: Limeira-de-Oliveira, Francisco
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Cerambycidae
Ialyssus
Ialyssus tuberculatus

description: 4. Ialyssus tuberculatus (Olivier, 1795)
 Prionus tuberculatus Olivier, 1795: (66) 20, est. 6, fig. 2.
 Material examinado: Mirador (Parque Estadual Mirador; Base da Geraldina), fêmea, 23-26.X.2006, J.C. Silva col., armadilha luminosa; macho, 20-24. XII.2006, R.O. Souza & J.C. Silva et al. col.
description: Published as part of Martins, Ubirajara R., Galileo, Maria Helena M. & Limeira-de-Oliveira, Francisco, 2009, Cerambycidae (Coleoptera) do estado do Maranhão, Brasil, pp. 229-247 in Papéis Avulsos de Zoologia 49 (19) on page 231, DOI: 10.1590/S0031-10492009001900001, http://zenodo.org/record/13313584
The Relationship between Incompatible leadership of Managers with Job Plateau, Burnout and Stress of High School Teachers
Publisher: name: The University Of Kurdistan
Year: 2021

description: Lack of effective leadership is not only seen in economic organizations but also in education\ndepartments and all other institutions. What sometimes results in issues for some organizations\nis people, such as incompatible leaders, who do not play their critical role of leadership\neffectively and efficiently. The present applied and descriptive-correlational study aims to\ninvestigate the relationship between incompatible leadership and job plateau, burnout, and\nstress in first- and second-grade high school teachers. The statistical population of the research\nincluded all first- and second-grade high school teachers (1972). Accordingly, 322 individuals\nwere selected as the research sample using the simple random sampling method. Data\ncollection tools were Schmidt Incompatible Leadership Questionnaire (2008), Milliman\nOccupational Plateau Questionnaire (1992), Maslach Occupational Burnout Questionnaire\n(1985), and Sargi Job Stress Questionnaire (2015). The reliability of the questionnaires was\n0.81, 0.90, 0.84, and 0.76, respectively, using Cronbach's alpha; the content validity was also\nconfirmed. Data were analyzed using univariate t, correlation coefficient, and stepwise\nregression. Findings showed incompatible leadership of managers and occupational burnout\nand stress in school teachers to be at a low level, while their plateau was at a high level.\nMoreover, a positive and significant relationship was observed between incompatible\nleadership and job plateau and burnout of teachers; however, there was no relationship between\nincompatible leadership and job stress. Among components of incompatible leadership,\nauthoritarian leadership could predict job plateau, abusive supervision and authoritarian\nleadership could predict job burnout, and abusive supervision could predict job stress. Thus, it\nis recommended that school principals reduce the stress, plateau, and burnout of teachers, as\nwell as identifying the components of incompatible leadership and avoiding them in schools
Beyond the Known Limits: A Forward-Looking Methodology for Ideal-Driven Innovation
Creators: name: Fedotov, Anton
Publisher: name: Zenodo
Year: 2024

description: This methodology, "Ideal-to-Realization," is designed to transform ambitious, ideal-driven projects that defy conventional engineering constraints. Developed to address the limitations of reverse engineering and the biases inherent in AI-driven design, this approach maintains continuous alignment with an ideal prototype, guiding projects from visionary concepts to tangible progress. By leveraging flexible conceptual markers, a structured growth map, and modular adaptability, the methodology enables the realization of groundbreaking technologies—such as room-temperature superconductors—that evolve iteratively without sacrificing the integrity of the original ideal.
Implanted cortical neuroprosthetics for speech and movement restoration.
Creators: name: Muirhead, William R
name: Horsfall, Hugo Layard
name: Aicardi, Christine
name: Carolan, Jacques
name: Akram, Harith
name: Vanhoestenberghe, Anne
name: Schaefer, Andreas T
name: Marcus, Hani J
Publisher: name: The Francis Crick Institute
Year: 2024
Subjects: classificationCode: Neurosciences
subject: Neurosciences
subject: FOS: Clinical medicine
classificationCode: Microfabrication & Bioengineering
subject: Microfabrication & Bioengineering
classificationCode: Ecology,Evolution & Ethology
subject: Ecology,Evolution & Ethology
classificationCode: Computational & Systems Biology
subject: Computational & Systems Biology

description: Implanted cortical neuroprosthetics (ICNs) are medical devices developed to replace dysfunctional neural pathways by creating information exchange between the brain and a digital system which can facilitate interaction with the external world. Over the last decade, researchers have explored the application of ICNs for diverse conditions including blindness, aphasia, and paralysis. Both transcranial and endovascular approaches have been used to record neural activity in humans, and in a laboratory setting, high-performance decoding of the signals associated with speech intention has been demonstrated. Particular progress towards a device which can move into clinical practice has been made with ICNs focussed on the restoration of speech and movement. This article provides an overview of contemporary ICNs for speech and movement restoration, their mechanisms of action and the unique ethical challenges raised by the field.
Design and validation, researcher school model
Publisher: name: The University Of Kurdistan
Year: 2021

description: Sustainable development does not work without education and both without the\ninstitutionalization of research. The first condition is to pay attention to research in all parts\nof the school, which is achieved in the form of a researcher school. The present study was\nconducted with the aim of designing and validating the researcher school model using a\ncombined method of multi-stage exploratory type. In the qualitative part of the study, the\nphenomenological strategy was performed and the quantitative part of the study was\nperformed through factor analysis. Methods of obtaining data: included semi-structured\nindividual interviews with educational scientists and qualitative analysis of texts. In order to\nassess the accuracy of the interview questions, the question form was reviewed by 10 experts\nand professors in the field of educational sciences. The continuity of the interview form has\nbeen examined by providing a summary of the identified topics and topics to three experts\nthrough qualitative study methods and applying their opinions. 30 professors of Farhangian\nUniversity and PhD students of educational sciences, experts of relevant departments of the\nMinistry of Education, successful principals and teachers in the country were selected by\npurposive sampling method. In this study, the components of values, learning education\nactivities, professional competencies, educational-executive structure, out-of-school\ninteractions and equipment are of equal importance for scientific experts and professors
Workshops to Develop UC-National Lab Vision & Plan for Community-Engaged Research for Clean Energy
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: The UC Laboratory Fees Research Program (LFRP) has identified Community-Engaged Research for Clean Energy Solutions (CERCES) as one of the topics for 2024. To encourage the development and submission of proposals establishing collaborations between University of California researchers, and colleagues at Los Alamos National Laboratory, Lawrence Livermore National Laboratory and Lawrence Berkeley National Laboratory in this area, a series of three workshops to conceive and formulate a UC-National Lab Vision and Plan for Community-Engaged Research for Clean Energy Solutions are being planned for Fall 2024. The workshops are being organized by representatives from UCB, UCI, UCM, UCR, UCSB, UCSD, LBNL, LLNL, and LANL. The workshops will be hosted at UCI and a location in Northern California and a location in central valley. All three workshops will be hybrid – in person and virtual. The workshops will provide networking opportunities for UC faculty and national lab researchers to come together with the goal of developing joint proposals for a potential UC Laboratory Fees Research Program and to other external funding sources. While the workshops will facilitate the formation of teams, attendance will not be a requirement (or prerequisite) for submitting a proposal to the LFRP. The workshop will focus on basic and applied research advancing development of clean energy solutions in which community engagement plays a central role. The key notion is that successful clean energy transition requires serious engagement with communities facilitating access to and the adoption of clean energy programs in their local areas. As such, clean energy research should also involve community engagement by bridging technology and ideas to public agencies, educators, and local businesses. All clean energy technologies and solutions to meet the needs of California will be considered. These needs include energy system decarbonization, community-focused energy system resilience to climate change induced extreme events and meeting the State of California energy policy goals.
Primary school principals' lived experiences of professional development and the factors affecting it
Publisher: name: The University Of Kurdistan
Year: 2021

description: The present study is a qualitative research with a phenomenological approach that has been\nconducted to identify the dimensions and components of professional development of primary\nschool principals and to develop its framework. The statistical population of the study was the\nprincipals of public primary schools in Tehran in the academic year of 2019-2020. In two stages\nof sampling, samples were selected by quota and then purposive sampling methods. Semistructured interviews were used to collect data. The interview continued until the data\nexploration and data collection process reached a theoretical saturation point after interviewing\n14 people. Data were analyzed by open and axial coding steps. Two methods of verifying the\ninterviewees and verifying an external expert were used to control the validity. Two methods of\nverifying the interviewees and verifying an external expert were used to control the validity. To\ndetermine the reliability, two methods of reviewing the writings and also the method of recoding\nwere used. The agreement was calculated in the coding homogeneity and the agreement\ncoefficient was 86%. Findings showed that the professional development framework for primary\nschool principals has 3 dimensions, 14 components with 117 indicators Which includes : the\ncontent dimension of professional development (with components of general management\nknowledge, specialized management knowledge, interactive skills, resource management skills,\nprofessional skills, personal inclinations, managerial attitude, physical and mental ability and\nintellectual ability), the dimension of professional development process (with the components\nof self-development actions and developer relations) and the dimension of organizational\nrequirements (with the components of knowledge acquisition and acquisition of skills,\nmodification of selection and appointment methods of managers, improvement of organizational\nstructure and processes.
Acculturation Research Critiques And Alternative Research Designs
Creators: name: Castro, Joaquim De
Publisher: name: Zenodo
Year: 2016
Subjects: acculturation, bicultural, confirmation bias, China, definitions, history, integration, liberal ideology, psychometrics, research designs

description: Dictionary definitions concur that “acculturation” means second-culture acquisition, but “acculturation” began as

a Eurocentric concept that inferior peoples improve themselves by imitating superior peoples. Shadows of this

persist despite the acceleration of acculturation research from nine studies per decade in the 1920s to the current

rate of more than 6000 per decade. Reviews of this research have noted confused findings and lack of utility.

Critics either (1) advocate for qualitative methods because culture, identity, and human experience are too

complex for psychometric methods, or (2) recommend new models and new forms of quantitative analysis, or (3)

fault research for poor social science practices. Rudmin (2006) has argued that academics’ shared liberal ideology

causes collective confirmation bias that shapes research to promote advocacy of bicultural integration. Many

future research designs and projects are proposed, including emic studies of rural-urban migration in China and

the development of single-case measures of acculturative competence.
description: acculturation, bicultural, confirmation bias, China, definitions, history, integration, liberal ideology, psychometrics, research
designs
2023 LFRP Advancing Research in Microelectronics Workshop Series
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: The UC Laboratory Fees Research Program (LFRP) has identified Research Advancing Microelectronics as one of the priority topics for 2023. To encourage the development and submission of proposals establishing collaborations between University of California researchers, and colleagues at Los Alamos (LANL), Lawrence Livermore (LLNL) and Lawrence Berkeley National Laboratories in this area, a series of two workshops on Research Advancing Microelectronics are being planned for January 2024. The workshop is being organized by representatives from UC Davis, UCLA, UC Riverside, UC Berkeley and UC San Diego, in collaboration with LBNL, LANL and LLNL. The workshops will be hosted at the UCLCC in Livermore, CA and at UC San Diego. The workshops aim to provide networking opportunities for UC faculty and national lab researchers to come together with a view to developing joint proposals for the 2024 UC Laboratory Fees Research Program. It is envisaged the workshops will facilitate the formation of teams, but attendance is not a requirement (or prerequisite) for submitting a proposal to the LFRP. The workshop will focus on basic and applied research advancing development of new technologies for next-generation microelectronics. Topics may include, but are not limited to materials, devices, prototyping, characterization, and computational modeling. Two workshops will be hosted to allow for participation in-person of researchers from all UCs and National Laboratories. Workshops will be run in hybrid format, allowing for remote participation. Participation in both workshops will not be required, and researchers will benefit from attending any of the two workshops but will have the option of participating in both. Workshop 1 – January 19th, 2024 at the UC Livermore Collaboration Campus Workshop 2 – January 30th, 2024 at the UC San Diego Campus
Additional file 2 of Overwintering aggregation patterns of European catfish Silurus glanis
Creators: name: Westrelin, Samuel
name: Moreau, Mathieu
name: Fourcassié, Vincent
name: Santoul, Frédéric
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 2 Time series of the mean distance between individuals in winters 2017 to 2020. The dates of structural changes over the 5-month time series (15 October–15 March) and their 95% confidence interval are labelled on the x-axis and represented by vertical dotted lines and interval at their basis (very narrow intervals are not visible).
Additional file 1 of Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
Creators: name: Moore-Palhares, Daniel
name: Ho, Ling
name: Lu, Lin
name: Chugh, Brige
name: Vesprini, Danny
name: Karam, Irene
name: Soliman, Hany
name: Symons, Sean
name: Leung, Eric
name: Loblaw, Andrew
name: Myrehaug, Sten
name: Stanisz, Greg
name: Sahgal, Arjun
name: Czarnota, Gregory J.
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 1. Table S1: Quality Assurance Program for MR-Planning. Abbreviations: PIQT, Periodic Image Quality Test; SNR, NEMA, National Electrical Manufacturers Association; ACR, American College of Radiology; MR, magnetic resonance; RF, radiofrequency.
A Study and Comparison of the Personal Constructs of Management Among Novice and Veteran School Principals
Publisher: name: The University Of Kurdistan
Year: 2021

description: Achieving the goals of educational systems and responding correctly to the expectations of\nstudents, parents and teachers depend on the existence of efficient and effective educational\nadministrators and their beliefs. Therefore, the attention of education researchers is focused\non the understanding of management in educational settings. Since individuals' beliefs\ncause the creation of personality structures, so the study of managers' personality structures\ncan be helpful in selecting, transferring and relocating educational managers on a scientific\nbasis, recognizing the necessary components of management to establish training courses,\npredicting future actions of managers and reducing skepticism and uncertainty and\nidentifying the stylistic complexity of managers. On the other hand, structures enable\neducational administrators to better fulfill their professional mission. Based on the\nimportance of this issue, the main purpose of the study was to identify and compare the\npersonal structures of management among school principals. In the present study, in order\nto achieve the personal construct of managers, an interpretive approach and a qualitative\nmethod of case study were used. Participants included all public school principals in\nSanandaj who were employed in 2021 and had more than one year of managerial\nexperience. Therefore, sampling was done in a target based using the criterion method.\nAlso, the number of samples was appropriate for the Repertory Grid Technique which is\nusually used for the sample with small number, 43 novice and experienced Principal were\nchosen. Data were collected using semi-structured interviews and a Repertory Grid Matrix.\nFinally, 575 personal construct were extracted during 43 interviews. Content analysis with\nthe unit of subject was applied for the data analysis. The collected data of the personal\nconstruct of administrator were classified in 4 main categories and 13 sub-categories, which\nincluded issues as morality, relationship, personal features and intellectual-functional. The\nresults of this study indicates that the highest percentage of personal constructs of novice\nand experienced managers is in the category of communication and the lowest percentage\nof personal structures for novice managers is in the category of intellectual-operational and\nalso for experienced managers is in the category of ethic.
Reliable and Local Reinforcement Learning for Control of Distributed Energy Resources
Creators: name: University Of California Office Of The President
Publisher: name: University of California Office of the President
publisherIdentifier: https://ror.org/00dmfq477
publisherIdentifierScheme: ROR
Year: 2025

description: The proliferation of distributed energy resources (DERs), including rooftop solar, electric vehicles, etc., creates severe operational challenges such as growing system complexity, increasing uncertainty, and aggravating volatility. Recently, more and more data is becoming available due to the wide deployment of smart meters, smart sensors, and upgraded communication networks. Thus, data-driven control techniques, especially reinforcement learning (RL), have attracted surging attention for DERs coordination and control. However, major hurdles remain before the deployment of RL for DERs control. For power systems, failure to maintain stability and safety can lead to violation of regulatory requirements or even catastrophic consequences, e.g., blackouts. In addition, traditional RL relies on extensive data to succeed, while data for power system operations is typically limited and data collection can be time-consuming. This proposal outlines a systematic framework for integrating control-theoretic tools into RL to learn provably stable, robust, and data-efficient control policies for DER coordination and control. In a series of recent works from PI Jie Feng and his advisor Yuanyuan Shi’s research, we have developed a novel stability-constrained RL framework that incorporates Lyapunov stability theory to ensure policy stability. Built on the promising results, we will further characterize the benefit of the integration of prior model knowledge and offline data for improving the data efficiency of RL, as well as promoting the robustness of learned policy with respect to various model and environmental uncertainties. This project will in collaboration with Dr. Deepjyoti Deka at Los Alamos National Laboratory (LANL), who brings a wealth of expertise in machine learning, optimization, and cybersecurity for aggregations of smart flexible resources. Dr. Deka and his collaborators at LANL have access to an experimental testbed for coordinated TCLs at LANL, that will facilitate the experimental validation of the real-time distributed control trials in our proposed framework. This project marks a significant step towards learning-based DER control and coordination architectures. This aligns with LANL’s competencies in experimental energy systems and data driven control, thereby promoting reliable AI-enabled methodologies for DER management.
Additional file 1 of Automated synthesis and quality control of [68Ga]Ga-PentixaFor using the Gaia/Luna Elysia-Raytest module for CXCR4 PET imaging
Creators: name: Daniel, Thomas
name: Balouzet Ravinet, Clara
name: Clerc, Jérôme
name: Batista, Rui
name: Mouraeff, Yvan
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Science Policy

description: Additional file 1. GMP-conditions synthesis report N°1. This document shows all details dealing with technique parameters of the Gaia/Luna Elysia-Raytest module during the first GMP-condition synthesis.
The Relationship between Learning Climate and Organizational Agility in Managers of Education Department
Publisher: name: The University Of Kurdistan
Year: 2021

description: The main purpose of the present study was to investigate the relationship between learning\nclimate and organizational agility in managers of Marivan Education Department. Regarding\nthe classification of the research based on the method, this study was a descriptive correlational\nresearch. The population consisted of all managers (150 people) of Marivan Education\nDepartment in 2019-2020. The members of the statistical sample were 106 people. Cochran's\nformula was used to determine the sample size. This study used a random sampling method. To\ncollect data, Marsick and Watkins's (2003) questionnaire of learning climate quality and Sharifi\nand Zhang's (2004) organizational agility questionnaire. First, 20 questionnaires with confirmed\nvalidity and reliability (Cronbach's alpha coefficient for the learning climate quality\nquestionnaire was 0.73 and for the organizational agility questionnaire 0.86) were distributed,\nand then 86 questionnaires were distributed and the results were collected. To answer the main\nhypothesis of the research, the structural equation method and PLS software were used. The\nresults showed that there was a significant and positive relationship between the learning climate\nand the variables of organizational agility. Also, it was found that the variable of learning\nclimate could predict the changes in the variable of organizational agility and its components.\nBesides providing the appropriate learning climate for the staff of the organization through\neducation, an increased sense of trust in all organizational levels will increase the organization\nand staff agility.
Appendices_A_B_C_online_supp – Supplemental material for The Effect of Expert Feedback on Antibiotic Prescribing in Pediatrics: Experimental Evidence
Creators: name: Eilermann, Kerstin
name: Halstenberg, Katrin
name: Kuntz, Ludwig
name: Martakis, Kyriakos
name: Roth, Bernhard
name: Wiesen, Daniel
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Appendices_A_B_C_online_supp for The Effect of Expert Feedback on Antibiotic Prescribing in Pediatrics: Experimental Evidence by Kerstin Eilermann, Katrin Halstenberg, Ludwig Kuntz, Kyriakos Martakis, Bernhard Roth and Daniel Wiesen in Medical Decision Making