Elevating larval source management as a key strategy for controlling malaria and other vector-borne diseases in Africa by Fredros Okumu, Sarah J. Moore, Prashanth Selvaraj, Arnon Houri Yafin, Elijah O. Juma, GloriaSalome G. Shirima, Silas Majambere, Andy Hardy, Bart G. J. Knols, Betwel J. Msugupakulya, Marceline Finda, Najat Kahamba, Edward Thomsen, Ayman Ahmed, Sarah Zohdy, Prosper Chaki, Peter DeChant, Kimberly Fornace, Nicodem Govella, Steven Gowelo, Emmanuel Hakizimana, Busiku Hamainza, Jasper N. Ijumba, William Jany, Hmooda Toto Kafy, Emmanuel W. Kaindoa, Lenson Kariuki, Samson Kiware, Eliningaya J. Kweka, Neil F. Lobo, Dulcisária Marrenjo, Damaris Matoke-Muhia, Charles Mbogo, Robert S. McCann, April Monroe, Bryson Alberto Ndenga, Halfan S. Ngowo, Eric Ochomo, Mercy Opiyo, Richard Reithinger, Chadwick Haadezu Sikaala, Allison Tatarsky, David Takudzwa, Fedra Trujillano, Ellie Sherrard-Smith

“…This letter is the result of a global, crossdisciplinary collaboration comprising: (a) detailed online expert discussions, (b) a narrative review of countries that have eliminated local malaria transmission, and (c) a mathematical modeling exercise using two different approaches. …”
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The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester-A primary cohort study with a scoping review. by Laura Ormesher, Jessica Catchpole, Linda Peacock, Heather Pitt, Anastasia Fabian-Hunt, Dexter Hayes, Claudia Popp, Jason M Carson, Raoul van Loon, Lynne Warrander, Karli Büchling, Alexander E P Heazell

“…The information derived from the primary study was used in an existing mathematical model of maternal circulation in pregnancy, to determine whether occlusion of the inferior vena cava could account for the observed effects. …”
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Characteristics and drainage modes of coalbed methane resources in closed coal mines in Yangquan and Jincheng Mining Areas by Yang WANG, Jie XIANG, Yong QIN, Shangbin CHEN, Yanming ZHU, Manli HUANG, Ying SHI

“…According to the characteristics of resources and closed coal mines, the closed coal mine coalbed methane resources are divided into three categories: gob coalbed methane resources in low-gas closed coal mine, gob coalbed methane resources in high-gas closed coal mine, and in-situ coalbed methane resources in high-gas closed coal mine.The amount of gob coalbed methane resources in closed coal mines was predicted by constructing a new mathematical model. Besides, the amount of the in-situ coalbed methane resourceswas predicted by the volume method. …”
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Effectiveness of progesterone supplementation in women presenting low progesterone levels on the day of frozen embryo transfer: a randomised controlled trial by Quang Thanh Le, Thi Minh Chau Le, Khue Tu Duong, Quoc Anh Nguyen, Phuc Thinh Ong, Thi Hong Nhung Nguyen, Thi Cam Thu Thai, Matheus Roque, Carlo Alviggi

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Systematic review and quantitative meta-analysis of age-dependent human T-lymphocyte homeostasis by Victoria Kulesh, Victoria Kulesh, Kirill Peskov, Kirill Peskov, Kirill Peskov, Gabriel Helmlinger, Gennady Bocharov, Gennady Bocharov, Gennady Bocharov

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Epidemiological analysis primary open-angle glaucoma incidence and prevalence in Russia by A.B. Movsisyan, A.V. Kuroyedov, M.A. Arkharov, V.V. Prokhorenko, I.A.Chepurnov

“…These data were a basis for prediction (three variants) of glaucoma incidence and prevalence in Russia and the development of a mathematical model to determine the age of disease onset and duration.…”
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Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

“…In this paper, we analyze the force and velocity components acting on the straw, give the design principles for the screw’s conveying parameters under the premise of ensuring maximum conveying capacity and minimum power consumption, and determine the optimal design variables, objective functions, and constraints according to the specific optimization problem; we establish a specific mathematical model, and introduce algorithm optimization for nonlinear problems with many variables and large amounts of calculations. …”
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Relato de uma extensão em tempos de isolamento social: Criação de um recurso educacional sobre matemática na pandemia de COVID-19 by Leila Thomazelli Thieghi, Fabio Luiz Sant'Anna Cuppo

“…This experience report details how a powerful educational resource was created, focusing on the application of mathematical modeling to the data released about the COVID-19 pandemic for educational purposes. …”
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Early prediction of long COVID-19 syndrome persistence at 12 months after hospitalisation: a prospective observational study from Ukraine by Dmytro Chumachenko, Tetyana Chumachenko, Oleksii Honchar, Tetiana Ashcheulova

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Effects of mosquito-proofing storm drains on adult and larvae mosquito abundance: Protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS) by Marina Treskova, Tomás Montalvo, Joacim Rocklöv, Charles Hatfield, Frederic Bartumeus, Shouro Dasgupta, João Encarnação, Rachel Lowe, Jan C. Semenza, Pascale Stiles, Jordi Noya, Andrea Valsecchi, Till Bärnighausen, John R.B. Palmer, Aditi Bunker

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Designing a Forecasting Model and Evaluating the Strategic Cooperation between the Banking System and Fintech Startups using the Adaptive Neural Fuzzy Inference System (ANFIS) by Arash Onsori, Abbas Khamseh, Taghi Torabi, Hamid Reza Yazdani

“…The subsequent implementation of the mathematical model, as detailed in Table 2, illustrates the input and output values for the main model, offering a comprehensive overview of the strategic cooperation evaluation. …”
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Analysis of fatty acid-derived lipids in critically ill patients after cardiac surgery yields novel pathophysiologically relevant mediators with possible relevance for systemic inf... by Holger Neb, Verena Roth, Jessica Roos, Jessica Roos, Tom Bauer, Anja Urbschat, Ulrike Heinicke, Carlo Angioni, Dieter Steinhilber, Dieter Steinhilber, Matthias Piesche, Matthias Piesche, Nerea Ferreirós, Robert Gurke, Robert Gurke, Gerd Geisslinger, Gerd Geisslinger, Edith Utech, Kai Zacharowski, Patrick Meybohm, Patrick Meybohm, Patrick Paulus, Elke Schmitt, Elke Schmitt, Thorsten Jürgen Maier, Thorsten Jürgen Maier

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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…As a subset of artificial intelligence, machine learning algorithms create a mathematical model based on sample data or "training data" in order to predict or make decisions without overt planning (Du et al., 2019). …”
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Presentation of knowledge sharing model in Bank Maskan Iran by Maryam Firoozi, ahmad vedadi, alireza Amirkabiri

“…Coding and implementation of the proposed bi-objective mathematical model in Games software provided a level of optimization in which maximum shared knowledge with maximum customer loyalty was achieved. …”
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Use of Wiener- Hammerstein (WH) Model Optimized with Genetic ‎Algorithm in Identification of Photovoltaic System by Iman Sohrabi Moghadam Chafjiri, Alireza Azadbar, Abbas Ghadimi, Seyed Javad Mousavi

“…<p><span style="font-size: 11pt; line-height: 125%; font-family: Calibri, sans-serif;">System identification is a method of identification or measuring a mathematical model of a system by measuring the inputs and outputs of the system. …”
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