MOUD 2.0: a clinical algorithm and implementation evaluation protocol for sublingual and injectable buprenorphine treatment of opioid use disorder by Brandon L. Joa, Eric N. Fung, Michael S. Weinstein, Lara C. Weinstein, Lara C. Weinstein

“…We include a protocol for a future evaluation of the algorithm’s implementation process, “Medication for Opioid Use Disorder (MOUD) 2.0,” at a housing and integrated care clinic at a Federally Qualified Health Center.MethodsLiterature review and expert consensus informed creation of the algorithm, which underwent iterative development with feedback from clinicians, staff, and patients. …”
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Research on Noise Reduction Method of Pressure Pulsation Signal of Draft Tube of Hydropower Unit Based on ALIF-SVD by Yan Ren, Pan Liu, Leiming Hu, Jin Huang, Ruoyu Qiao, Hongping Chen, Xiaokai Li, Shaojie Huang

“…Aiming at the problem that it is difficult to extract the characteristics of the draft tube pressure fluctuation signal under the background of strong noise, this study proposes a dual noise reduction method based on adaptive local iterative filtering (ALIF) and singular value decomposition (SVD). …”
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Nonlinear Structural Fusion for Multiplex Network by Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

“…Then, we construct a node similarity network based on embedding matrices and K-D tree algorithm. (2) In NSF, we present a nonlinear enhanced iterative fusion (EIF) strategy. EIF can strengthen high-weight edges presented in one (i.e., complementary information) or more (i.e., shared information) networks and weaken low-weight edges (i.e., redundant information). …”
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Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach by Cep Abdul Baasith Wahpiyudin, Sabda Alam Muhammadan, Riska Amalia, Adelia Chrisanta, Asep Taryana

“…Conclusion: Expanding AI adoption in entrepreneurship education requires strategic communication, mainly focusing on Design Thinking’s empathize phase to understand student challenges. By iteratively proposing AI tools through the prototype phase, institutions can develop user-friendly, engaging solutions tailored to student needs, fostering higher adoption and engagement in entrepreneurship learning. …”
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Bidimensionally partitioned online sequential broad learning system for large-scale data stream modeling by Wei Guo, Jianjiang Yu, Caigen Zhou, Xiaofeng Yuan, Zhanxiu Wang

“…This method exclusively utilizes the current online samples for iterative updating, while disregarding the previous historical samples, thereby rendering BPOSBLS a lightweight online sequential learning algorithm with consistently low computational costs and storage requirements. …”
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Validation of the Food Safe Zone questionnaire for families of individuals with Prader-Willi syndrome by Elisabeth M. Dykens, Elizabeth Roof, Hailee Hunt-Hawkins, Theresa V. Strong

“…Methods Our team developed 20 FSZ items that were revised for clarity and completeness in an iterative feedback process with stakeholders, including parents, PWS specialists, and individuals with PWS. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

“…Inverse problems contribute to uncovering subtle abnormalities by employing iterative optimization techniques and sophisticated algorithms, enabling precise and early disease detection. …”
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A transgender medicine curriculum for Internal Medicine residents at a single academic institution by Anthony R. Sandre, Bikrampal Sidhu, Sara Awad

“…Both the clinical case and OSCE scenario were developed via an iterative review process by study investigators. Results Residents reported an increase in subjective comfort of providing gender-affirming care (p = 0.042) following delivery of the academic half day content. …”
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Process evaluation of the New Interventions for independence in Dementia Study (NIDUS) Family stream randomised controlled trial: protocol by Julie Barber, Laurie Butler, Claudia Cooper, Sarah Morgan-Trimmer, Danielle Laura Wyman, Peter Bright

“…Interviews will be iteratively thematically analysed. Matching observational quantitative data will be collected concurrently from videorecordings and/or audiorecordings of NIDUS-Family dyad trial sessions. …”
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Blockchain-driven demand side management in P2P energy markets for islanded microgrid systems by Abdullah Umar, Sumit Kumar Jha, Deepak Kumar, Tirthadip Ghose, Subhransu Ranjan Samantaray

“…The proximal decomposition algorithm is employed to iteratively update user strategies, ensuring convergence to a Nash equilibrium. …”
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Network Meta-Analysis of Once Weekly Selinexor-Bortezomib-Dexamethasone in Previously Treated Multiple Myeloma by Michael Dolph, Gabriel Tremblay, Adrienne M Gilligan, Hoyee Leong

“…For 2L PFS, OS and ORR, XVd had, on average, out of all iterations, the 6th (out of 21), 4th (out of 15), and 5th (out of 20) best result, respectively, versus Vd. …”
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Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics by Santiago Martínez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, Holly Pringle, Ella Browning, Kate E. Jones

“…The tool facilitates an iterative workflow where user annotations and machine learning predictions feedback to enhance model performance and annotation quality. …”
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Interest in digital health tools for miscarriage support: A qualitative assessment of Canadian women facing early pregnancy loss by Breanna Flynn, Anjali Sergeant, Genevieve Tam, Megan Gomes, Roopan Gill

“…Data were analyzed iteratively by two trained research team members with thematic techniques supported by NVivo software. …”
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Characterization and assessment of hydrogen leakage mechanisms in salt caverns by Mojtaba Ghaedi, Raoof Gholami

“…A finite-difference approximation with an iterative procedure was then used to treat the nonlinearity and solve the presented formulations. …”
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Sarcopenia in head and neck cancer: A scoping review. by Nedeljko Jovanovic, Tricia Chinnery, Sarah A Mattonen, David A Palma, Philip C Doyle, Julie A Theurer

“…General information, article details and characteristics, and details related to the concept of the scoping review were extracted in an iterative process.<h4>Results</h4>Seventy-six studies published internationally from 2016 to 2021 on sarcopenia in HNC were included. …”
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A multi-objective mathematical model for the multi-warehouse order picking system using Benders decomposition algorithm by Fatemeh Nikkhoo, Ali Hosseinzadeh Kashan, Bakhtiar Ostadi, Ehsan Nikbakhsh

“…The calculation results obtained from the implementation of the solution methods for the proposed model showed that in terms of the number of iterations and the calculation time, the accelerated Benders algorithm had better results than the classic Benders algorithm.Originality/Value: In this research, the order-picking problem with the integrity of operational decisions has been formulated as a multi-objective mathematical model for a multi-warehouse environment for the first time. …”
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Evaluation of the Content Validity of the COVID-19 Symptoms Daily Diary by Dine J, Guan Y, Milien M, Ervin C, Byrne DD, Brown ML, De Anda C, Norquist JM

“…Hybrid (concept elicitation and cognitive debriefing) semistructured qualitative interviews were then conducted across 3 iterative rounds with 30 adults in the United States recently diagnosed with COVID-19.Results: The CSDD included concepts that were most frequently reported by interview participants, including those identified as most bothersome and most important to treat. …”
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A spatiotemporal optimization engine for prescribed burning in the Southeast US by Reetam Majumder, Adam J. Terando, J. Kevin Hiers, Jaime A. Collazo, Brian J. Reich

“…Burn allocation decisions are then optimized by considering this risk jointly with the utility of burning a particular habitat parcel. The initial iteration of the optimization engine is demonstrated through a case study of short-term meteorological conditions for the Eglin Air Force Base, located in Florida, USA. …”
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Vehicle-Mounted Photovoltaic System Energy Management in Intelligent Transportation Systems: A Maximum Power Point Tracking Control by Jingao Wang, Qifei Liu, Silan Jing

“…The reasonable initial value is used to iteratively solve the real-time value of 5 parameters, which is further to judge the masking situation. …”
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IHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm by Bing Zeng, Yan Dong, Xinyu Li, Liang Gao

“…Then, a new energy-efficient clustering algorithm is designed based on several improvements made to harmony search algorithm: (1) a discrete encoding scheme of a harmony for clustering is proposed; (2) a roulette wheel selection method is designed to choose a gateway for a regular sensor node to join, which is employed by two steps (i.e. initialization of harmony and improvisation of a new harmony); (3) the dynamically changed harmony memory considering rate is designed for improvisation of a new harmony; (4) a local search scheme is proposed to improve the best harmony within the harmony memory in iterations. In addition, the improved harmony search based energy-efficient routing algorithm that we proposed previously is employed to balance the energy consumption of gateways in the routing phase. …”
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