Insights into the Process of Fish Diversity Pattern Changes and the Current Status of Spatiotemporal Dynamics in the Three Gorges Reservoir Area Using eDNA by Jiaxin Huang, Yufeng Zhang, Xiaohan Dong, Xinxin Zhou, Zhihao Liu, Qiliang Chen, Fan Chen, Yanjun Shen

“…By integrating historical data, this research examines changes in fish diversity that are associated with water storage processes. …”
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Gaining insights into pet owner understanding/lived experience of canine chronic kidney disease using survey and social media data by Georgina Tarrant, Luke Boyden, Luke Boyden, Taranpreet Rai, Taranpreet Rai, Andrea Wright, Alasdair J. C. Cook, Kevin Wells, Kevin Wells

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Using normalisation process theory (NPT) to explore implementation of the maternal perinatal death surveillance and response (MPDSR) policy in Uganda: a reflection by David Roger Walugembe, Katrina Plamondon, Frank Kaharuza, Peter Waiswa, Lloy Wylie, Nadine Wathen, Anita Kothari

“…Data were collected using semi-structured, in-depth interviews and were inductively and deductively analysed using NPT constructs and subconstructs. …”
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Preliminary Data of the Nutritive, Antioxidative, and Functional Properties of Watermelon (<i>Citrullus lanatus</i> L.) Flour and Seed Protein Concentrate by Agata Hahn, Justyna Liszka, Julia Maksym, Agnieszka Nemś, Joanna Miedzianka

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Technical advancement and practical considerations of LC-MS/MS-based methods for host cell protein identification and quantitation to support process development by Jia Guo, Regina Kufer, Delia Li, Stefanie Wohlrab, Midori Greenwood-Goodwin, Feng Yang

“…We also discuss our strategy for LC-MS-based HCP workflows to enable fast support of process development throughout the product life cycle, and provide insights into developing specific analytical strategies leveraging LC-MS tools to control HCPs in process and mitigate their potential risks to drug quality, stability, and patient safety.…”
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Can implementation failure or intervention failure explain the result of the 3D multimorbidity trial in general practice: mixed-methods process evaluation by Ali R G Shaw, Bruce Guthrie, Chris Salisbury, Cindy Mann, Lesley Wye, Mei-See Man, Katherine Chaplin

“…Objectives During a cluster randomised trial, (the 3D study) of an intervention enacting recommended care for people with multimorbidity, including continuity of care and comprehensive biennial reviews, we examined implementation fidelity to interpret the trial outcome and inform future implementation decisions.Design Mixed-methods process evaluation using cross-trial data and a sample of practices, clinicians, administrators and patients. …”
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Data-Driven Monitoring of Probiotic Fermentation in Fruit Juices Using Near-Infrared Spectroscopy and Aquaphotomics: An Innovative Approach to Food Valorization by Lueji Regatieri, Flora Vitalis, Erika Bujna, Quang Duc Nguyen, Zoltan Kovacs

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An integrated geographic information system (GIS) and analytical hierarchy process (AHP)-based approach for drone-optimized large-scale flood imaging by Muhammad Farhan Nazir, Salman Atif, Ejaz Hussain

“…Drones are a valuable tool in flood response, providing high-resolution data and real-time monitoring capabilities. However, their limited range, swath, and battery life make it challenging to cover extensive flood-prone areas. …”
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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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Development of a self-management intervention for stroke survivors with aphasia using co-production and behaviour change theory: An outline of methods and processes. by Faye Wray, David Clarke, Madeline Cruice, Anne Forster

“…<h4>Background</h4>Self-management is a promising approach to improve quality of life after stroke. However, evidence for the appropriateness and effectiveness of self-management for stroke survivors with aphasia is limited. …”
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Process-based therapy vs. routine-CBT for difficult-to-treat mood and anxiety disorders: study protocol for a randomized controlled trial by Ulrich Stangier, Viktoria Kohl, Nora Görg, Lucie Sendig, Bettina Hufschmidt, Desiree Bonarius, Arwin Nemani, Mareike Ebert, Stefan G. Hofmann

“…Abstract Background Process-based therapy (PBT) is a new framework to intervention planning, based on the use of ecological momentary assessment (EMA) data and dynamic and idiographic network analyses. …”
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The USA medical insurance as a stimulating factor to increase labour efficiency by Vitaliia Koibichuk, Bhola Khan, Serhii Drozd

“…Among our engaged methods, there were also bibliography analysis, data processing, systematisation, comparison and logical generalisation. …”
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Storytelling in Health Behavior Research: An Adolescent Health Storytelling in Health Behavior Research: An Adolescent Health Risk Data Collection Conundrum by Robert F. Valois, Sarah H. Kershner, Jelani C. Kerr, Andre Walker, Debra Massey, Naomi B. Farber, Larry K. Brown, Michael P. Carey, Ralph J. DiClemente, Daniel Romer, Peter A. Vanable

“…The human brain responds to hearing, reading or viewing a story, similar to real life processing as a genuine life experience. This story is anchored to NIH study protocol, a data collection incident at an African American church and a perplexed PI and research team. …”
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A personalised health intervention to maintain independence in older people with mild frailty: a process evaluation within the HomeHealth RCT by Rachael Frost, Yolanda Barrado-Martín, Louise Marston, Shengning Pan, Jessica Catchpole, Tasmin Rookes, Sarah Gibson, Jane Hopkins, Farah Mahmood, Benjamin Gardner, Rebecca L Gould, Claire Jowett, Rashmi Kumar, Rekha Elaswarapu, Christina Avgerinou, Paul Chadwick, Kalpa Kharicha, Vari M Drennan, Kate Walters

“…Forty-one per cent were signposted or referred to other supportive services, with ongoing support where needed throughout this process. Qualitative data indicated that HomeHealth was acceptable, empowering for those who saw a need for change and fitted well within host voluntary sector organisations. …”
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Requirements and special considerations for drug trials with children across six jurisdictions: 1. Clinical trial application review in the regulatory approval process by Breanne Stewart, Pirkko Lepola, Gunter F. Egger, Fahimeda Ali, Albert J. Allen, Albert J. Allen, Alysha K. Croker, Andrew J. Davidson, Pamela Dicks, Saul N. Faust, Saul N. Faust, Dionna Green, Collin Hovinga, Collin Hovinga, Agnes V. Klein, Robyn Langham, Hidefumi Nakamura, Laura Pioppo, Shiva Ramroop, Michiyo Sakiyama, Isabel Sanchez Vigil de la Villa, Junko Sato, Donna L. Snyder, Mark A. Turner, Mark A. Turner, Sarah Zaidi, Kanecia Zimmerman, Kanecia Zimmerman, Thierry Lacaze-Masmonteil

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MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

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Comparison of Value-Based Attitudes Towards Healthy Lifestyle among Healthcare and Non-Healthcare Workers by A. V. Vorobeva, M. A. Yakushin, V. M. Rotov

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Determining the Teachers' Attitude towards "Mistake" and "Making Mistakes" in the Learning Process and Improving the Culture facing it (case study: elementary school students) by Mazhar Babaee, Hedyeh Azagh

“…The research tool was a semi-structured interview conducted by the researcher and the data format was audio. Deductive-inductive technique was used to analyze the data. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

“…Abstract The interest in data-centric AI has been recently growing. As opposed to model-centric AI, data-centric approaches aim at iteratively and systematically improving the data throughout the model life cycle rather than in a single pre-processing step. …”
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