Fluid Identification Based on NMR Apparent Free Water Porosity Inversion: A Case Study of Paleozoic Tight Sandstone Gas Reservoirs in Western Ordos by Fuqiang Lai, Yuejiao Liu, Xiaopan Kou, Zhaohui Huang, Zhen Chen, Yuanqi Liu, Guoqiang Jiang, Yongqian Zang, Min Wang, Ruyue Wang

“…In this study, the pore types and pore size distribution characteristics of tight sandstone reservoirs were firstly determined by NMR and high-pressure mercury injection experiments, and then the iterative least-square method was used to automatically optimize the inversion method of pseudo-capillary pressure curve and search for the optimal conversion coefficient. …”
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Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…We target here the prediction of Hubbard parameters computed self-consistently with iterative linear-response calculations, as implemented in density-functional perturbation theory (DFPT), and structural relaxations. …”
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Super‐evolutionary mechanism and Nelder‐Mead simplex enhanced salp swarm algorithm for photovoltaic model parameter estimation by Huangying Wu, Yi Chen, Zhennao Cai, Ali Asghar Heidari, Huiling Chen, Yudong Zhang

“…The Nelder‐Mead simplex method is a versatile optimization algorithm that improves local search by iteratively adjusting a geometric shape (simplex) of points. …”
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Optimized Path Planning and Scheduling in Robotic Mobile Fulfillment Systems Using Ant Colony Optimization and Streamlit Visualization by Isam Sadeq Rasham

“…Also, other values such as, value function loss and policy gradient loss showed learning and convergence in iterations. To build a global solution, ACO integration went a step forward in enabling route optimization through effective combinatorial problems solving. …”
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How the Suboxone Education Programme presented as a solution to risks in the Canadian opioid crisis: a critical discourse analysis by Quinn Grundy, Fiona Webster, Daniel Z Buchman, Sheryl Spithoff, Ross E G Upshur, Abhimanyu Sud, Matthew Strang

“…Discursive themes were identified through iterative and duplicate analyses using a semistructured data extraction instrument.Results Documents characterised the Programme as addressing iatrogenic risks from overprescribing opioid analgesics, environmental risks from a toxic street drug supply and pharmacological risks relating to the dominant therapeutic alternative of methadone. …”
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Mapping the landscape and evidence of cross-sectoral collaboration models targeting individuals referred for assessment of attention-deficit hyperactivity disorder or autism spectr... by Niels Bilenberg, Pernille Tanggaard Andersen, Rikke Kirstine Kristensen, Emilie Dalsgaard Milling, Julie Dalgaard Guldager

“…The search will use a three-block search string, with iterative refinement guided by familiarity with the evidence base. …”
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Teaching in the Digital Age—Developing a Support Program for Nursing Education Providers: Design-Based Research by Stefan Walzer, Carolin Barthel, Ronja Pazouki, Helga Marx, Sven Ziegler, Peter Koenig, Christiane Kugler, Stefan Jobst

“…MethodsWe used a design-based research approach, incorporating iterative development with expert consultation to create and evaluate a support program for nursing education providers. …”
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Dynamic Prediction Research of Silicon Content in Hot Metal Driven by Big Data in Blast Furnace Smelting Process under Hadoop Cloud Platform by Yang Han, Jie Li, Xiao-Lei Yang, Wei-Xing Liu, Yu-Zhu Zhang

“…Secondly, based on the characteristics of stochastic subgradient projection, the execution time of the SVM solver algorithm does not depend on the size of the sample set, and a structured SVM algorithm based on the neighbor propagation algorithm is proposed, and on this basis, a parallel algorithm for solving the covariance matrix of the training set and a parallel algorithm of the tth iteration of the random subgradient projection are designed. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…Machine learning techniques, specifically neural network models, were trained to differentiate seismic features such as low-amplitude gas sand from background-amplitude water sand and shale. By iterating over multiple attributes and validating the models on blind test sets and on a blind section, which excluded a known shallow gas field, the workflow significantly improved the ability to detect potential hydrocarbon reservoirs characterized by low seismic amplitude. …”
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BEAUTY IN MATHEMATICAL EDUCATION: SYNERGETIC WORLDVIEW by V. A. Testov

“…On the other hand, symmetry can be considered as a manifestation of fractality with a finite number of iterations. Thus, the concepts of symmetry and fractality are closely interrelated. …”
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Investigating the effect of localized heat treatment and bioinspired structure on the crashworthiness of bumper subsystem by Israel Endale Asres, Ermias Gebrekidan Koricho, Ephrem Zeleke Kassa

“…In general, this research offers valuable insights for the automotive industry in developing safer and more efficient bumper sub systems. By conducting iterated localized heat treatment, incorporating bioinspired design principles, and considering the interdependent effects of different components, this study provides a valuable input for future advancements in vehicle safety design and standard.…”
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Developing a priority global research agenda for antimicrobial resistance in the human health sector: protocol for a scoping review by Alessandro Cassini, Raph L Hamers, Koe Stella Asadinia, Silvia Bertagnolio

“…Relevant research questions with attributes will be extracted using a tool developed through an iterative process by the research team. Each identified research question will be classified and aggregated according to a conceptual framework (ie, ‘knowledge matrix’), composed of three themes (ie, Prevention, Diagnosis and Care & Treatment) and four cross-cutting domains (ie, Descriptive, Discovery, Development, Delivery). …”
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Enhancing Mandibular Reconstruction with Surgeon–Bioengineer Collaboration: A Protocol for Virtual Surgical Planning by Dong-Ho Shin, Hyo-Joon Kim, Ji-Su Oh, Seong-Yong Moon

“…The collaborative workflow resulted in optimized surgical guide design, reduced planning iterations, and improved surgical precision. Conclusions: The established surgeon–bioengineer collaborative protocol enhances the efficiency and accuracy of computer-assisted mandibular reconstruction while making advanced surgical planning techniques more accessible. …”
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From Heritage Building Information Modelling Towards an ‘Echo-Based’ Heritage Digital Twin by Hord Arsalan, David Heesom, Nigel Moore

“…However, the reliance on generative AI introduces potential risks of inaccuracies due to speculative outputs, necessitating rigorous validation and iterative refinement to ensure historical and architectural credibility. …”
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Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

“…The Penman-Monteith-Leuning version 2 (PML-V2) evapotranspiration (ET) model, an advanced iteration of the classic Penman-Monteith (PM) model, is available globally via Google Earth Engine with a spatio-temporal resolution of 500 m and 8 days. …”
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Decisiones familiares en el cuidado de plantas ornamentales del Área Natural Protegida Cañón del Usumacinta by Vinicio Calderón, Aurora Ramírez Meneses, Rosa del Carmen Sánchez Trinidad, Rocío del Carmen Castillo Méndez

“…Los programas de capacitación, iterables entre las familias, supondría un aumento resiliente del conocimiento sobre el manejo de plantas en vivero; del valor que le otorgan, codifican las categorías: “estética”, “medicinal” y “bienestar psicológico”. …”
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ADAPTATION OF INTERPERSONAL COUNSELLING FOR ADOLESCENTS (IPC-A) FOR FINNISH STUDENT WELFARE SERVICES – RETROSPECTIVE EVALUATION BY USING AN EXPANDED FRAMEWORK FOR REPORTING ADAPTAT... by NOORA SEILO, KRISTIINA MÄMMI, OUTI LINNARANTA

“…Materials and methods:Information about the IPC-A adaptation was collected iteratively: 1) from the published reports and articles, 2) by comparing UK and Finnish IPC-A manuals, and 3) by interviewing key stakeholders involved. …”
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IMC-YOLO: a detection model for assisted razor clam fishing in the mudflat environment by Jianhao Xu, Lijie Cao, Lanlan Pan, Xiankun Li, Lei Zhang, Hongyong Gao, Weibo Song

“…In this study, firstly, at the end of the backbone network, the Iterative Attention-based Intrascale Feature Interaction (IAIFI) module module was designed and adopted to improve the model’s focus on advanced features. …”
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How to evaluate a multi-country implementation-focused network: Reflections from the Quality of Care Network (QCN) evaluation. by Gloria Seruwagi, Mike English, Nehla Djellouli, Yusra Shawar, Kasonde Mwaba, Abdul Kuddus, Agnes Kyamulabi, Kohenour Akter, Catherine Nakidde, Hilda Namakula, Mary Kinney, Tim Colbourn, QCN Evaluation Group

“…Strong leadership, partnership, communication and coordination were key; as were balancing standardization with in-country adaptation, co-production, flattening hierarchies among study team members and the iterative nature of data collection. Methodological adaptations included leveraging technology which became essential during COVID-19, clear division of roles and responsibilities, and embedding capacity building as both an evaluation process and outcome, and optimizing technology use for team cohesion and quality outputs.…”
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Acceptability and feasibility of pre-exposure prophylaxis for bacterial STIs: a systematic review. by Julie-Anne Carroll, Amy B Mullens, Sarah Warzywoda, Philip R A Baker, Meika Stafford, Faye McMillan, Jacintha Manton, Daniel Demant

“…Knowledge transfer is a dynamic and iterative process, involving the synthesis, dissemination, exchange, and application of knowledge in an ethically sound manner. …”
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