Exploring self-experience practices in dementia care: A scoping review. by Janina Wittmann, Anja Bieber, Joanne Carroll, Kealan Forristal, Louise Hopper, Niels Janssen, Gabriele Meyer, Marianna Riello, Marjolein de Vugt, Dorothee Bauernschmidt

“…<h4>Conclusions</h4>Our review highlights diverse interventions incorporating self-experience practices, with an increasing role for technological tools. While self-experience interventions engage participants, the impact on individuals with dementia and organisational levels remain largely unreported. …”
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Larviciding for malaria control and elimination in Africa by Gretchen Newby, Prosper Chaki, Mark Latham, Dulcisária Marrenjo, Eric Ochomo, Derric Nimmo, Edward Thomsen, Allison Tatarsky, Elijah O. Juma, Michael Macdonald

“…Strategic barriers related to global policy and donor hesitancy can be overcome through a coordinated demonstration of cost-effectiveness. Technological advancements and strengthened operational capacity have already overcome technical barriers related to larvicide delivery, targeting, coverage, and evaluation. …”
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End-of-life health literacy, knowledge and behaviours towards advance care planning among older adults: cross-sectional evidence from Switzerland by Ralf J Jox, Maud Wieczorek, Clément Meier, Sarah Vilpert, Jürgen Maurer, Carmen Borrat-Besson

“…Introduction Population ageing, technological advancements and an increasing emphasis on patient empowerment imply that individuals are increasingly confronted with intricate end-of-life decisions. …”
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Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection by Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, Suprakash Chaudhury, Sana Dhamija, Tahoora Ali

“…This initiative was prompted by the necessity to implement a proactive and technologically driven strategy for identifying competitive exam-bound students facing heightened vulnerability. …”
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Phase Transitions and Structural Evolution of Manganese Ores During High-Temperature Treatment by Ruslan Z. Safarov, Yerlan A. Baikenov, Assemgul K. Zhandildenova, Eldar E. Kopishev, Ruslan M. Kamatov, Jumat B. Kargin, H. Sanchez Cornejo, Crispin H. W. Barnes, Luis De Los Santos Valladares

“…This research contributes to the development of efficient processing technologies for medium-grade manganese ores, aligning with Kazakhstan’s strategic goals in sustainable resource utilization.…”
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Development of an optimized protocol for protoplast-to-plant regeneration of selected varieties of Brassica oleracea L. by Katarzyna Stelmach-Wityk, Kamil Szymonik, Ewa Grzebelus, Agnieszka Kiełkowska

“…Improving collard and other Brassica germplasm can benefit from both traditional and new plant breeding technologies (NPBTs), such as CRISPR-Cas mediated transformation. …”
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Genetic divergence of hot pepper lines (Capsicum spp.) in hybrid combinations by Šević Biljana, Cvikić Dejan, Slađana Savić, Tupajić Ivan, Ugirnović Milan, Bajagić Marija, Luković Kristina, Stojiljković Jelena

“…Harvesting was performed at the technological maturity stage. The most important morphological fruit traits and dry matter content (DMC) were analyzed on 10 fruits (kapya type) from each hybrid combination. …”
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Emission Characteristics, OFPs, and Mitigation Perspectives of VOCs from Refining Industry in China’s Petrochemical Bases by Gulbanu Hini, Kexin Gao, Yi Zheng, Maimaiti Simayi, Shaodong Xie

“…More efficient control technologies should be invented for end-of-pipe sources. …”
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Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study by Paulina Bondaronek, Jingfeng Li, Henry W W Potts

“…Engaging the public in evidence-generation processes and ensuring transparency in app functionality and testing can bridge the gap between public expectations and regulatory standards, fostering trust in digital health technologies.…”
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On the utilization of the induced pluripotent stem cell (iPSC) model to study substance use disorders: A scoping review protocol. by Wasiri Niemis, Shenita R Peterson, Chrisabella Javier, Amy Nguyen, Sanchi Subiah, Rohan H C Palmer

“…We conducted a scoping review to collate existing evidence on the iPSC technologies applied to SUD research. We aim to identify current knowledge gaps and limitations in order to advance the use of iPSCs in the SUD field.…”
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Navigating vaccination in pregnancy: Qualitative study in 21 ethnically diverse pregnant women. by Mohammad S Razai, Michael Ussher, Lucy Goldsmith, Sally Hargreaves, Pippa Oakeshott

“…The interviews focused on participants' views on vaccination during pregnancy, participation in vaccine trials, information-seeking behaviours, and attitudes to emerging technologies for health information. Interviews were transcribed verbatim and thematically analysed. …”
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RELATIONSHIP OF SELF-REGULATION AND PERSONAL PROFESSIONAL PERSPECTIVE OF STUDENTS by D. P. Zavodchikov, P. O. Manyakova

“…Today, the problem of personal planning and realization of the individual professional future has become very urgent in the conditions of uncertainty of the social and economic environment development, fast updating of technologies and transformation of the world of professions. …”
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Hospital pharmacy implementation of a unit dose dispensing system: A qualitative interview study to determine experiences, views and attitudes of nursing staff by Theodora Steindl-Schönhuber, Theresa Drechsel, Gunda Gittler, Anita Elaine Weidmann

“…Background: Evolving automated technologies in the dispensing process promise effective solution to reduce medication error rates. …”
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Understanding ICU Nursing Knowledge, Perceived Barriers, and Facilitators of Sepsis Recognition and Management: A Cross-Sectional Study by Katherine A. Kissel, MN, RN, Karla D. Krewulak, PhD, Thérèse G. Poulin, BSc, Ken Kuljit S. Parhar, MD, MSc, Daniel J. Niven, MD, PhD, Vanessa M. Doiron, MScHQ, RN, Kirsten M. Fiest, PhD

“…Recommendations include enhanced competency development or support, utilization of structured reinforcement measures (involving the interdisciplinary team and imploring the use of integrative technologies), and addressing equipment/resource-related gaps. …”
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Sustainable thermal buffering of microencapsulated bio-phase change materials through an engineered biochar dopant by Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam, Beom Yeol Yun, Sumin Kim

“…Abstract Climate change and unbalanced energy demand and consumption require innovative approaches to the development of sustainable and renewable energy technologies. Phase change materials (PCMs) present exceptional solutions for zero-energy thermal management due to their outstanding energy storage density at an isothermal phase transition. …”
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Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV by Mykhailo Popov, Sergey Stankevich, Sergey Mosov, Stanislav Dugin, Stanislav Golubov, Artem Andreiev, Artur Lysenko, Ievgen Saprykin

“…The tasks to be solved are to define the overall structure and components of the geoinformation platform, choose the technological solutions for each of them, and implement the system prototype that makes it possible to extend its configuration in the future. …”
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Communication Aspect of National Testing Digitalization: Investigating Key Stakeholders’ Satisfaction by Miloš Jevtić, Slavica Cicvarić Kostić, Milan Okanović

“…Considering that it involves a large number of stakeholders and activities, innovations based on the implementation of new technologies are complex and require significant efforts and resources for their implementation. …”
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Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk... by Cristina Bosco, Ege Otenen, John Osorio Torres, Vivian Nguyen, Darshil Chheda, Xinran Peng, Nenette M Jessup, Anna K Himes, Bianca Cureton, Yvonne Lu, Carl V Hill, Hugh C Hendrie, Priscilla A Barnes, Patrick C Shih

“…Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities. …”
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A simple and efficient method to extract polar metabolites from guar leaves (Cyamopsis tetragonoloba (L.) Taub.) for GC-MS metabolome analysis by S. B. Teplyakova, A. L. Shavarda, T. V. Shelenga, E. A. Dzyubenko, E. K. Potokina

“…Due to the progress of “omics” technologies and the marker-assisted selection, there is a huge interest in the studies that compare the metabolites of various guar varieties, employing metabolomics as a method of functional genomics. …”
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Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

“…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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