Effect of oral stimulation on premature newborns’ feeding performance: a systematic review by Inês Ferreira Figueiredo, Margarida Grilo, Susana Garcia Campos, Inês Tello Rodrigues

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Impact of coronavirus disease 2019 pandemic on the trends of care-seeking behavior for ocular diseases: a systematic review and meta-analysis by Kunihiko Hirosawa, Takenori Inomata, Ken Nagino, Jaemyoung Sung, Akie Midorikawa-Inomata, Keiji Inagaki, Hiroyuki Kobayashi, Shintaro Nakao

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Effect of TiO2 Abutment Coatings on Peri-Implant Soft Tissue Behavior: A Systematic Review of In Vivo Studies by Nagat Areid, Faleh Abushahba, Sini Riivari, Timo Närhi

“…Establishing a proper soft tissue adhesion around the implant abutment is essential to prevent microbial invasion, inhibit epithelial downgrowth, and obtain an optimal healing process. This systematic review aims to evaluate the real potential of TiO2 coating on the behavior of peri-implant soft tissue health and maintenance. …”
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Mapping the research trends on health insurance purchase: a bibliometric analysis and systematic review by Zhangwei Zheng, Mohd Hafizuddin Syah Bangaan Abdullah, Hafizah Omar Zaki, Qin Lingda Tan

“…Methods A combination of bibliometric analysis and systematic review was employed to analyze health insurance purchasing literature. …”
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Moderators and mediators of the relationship between parental depression and children’s emotion dysregulation: a systematic review by Ahmad Sabalbal, Samer El Hayek, Samer El Hayek, Evelyne Baroud, Wael Shamseddeen

“…This study aimed to systematically explore possible mediators and moderators.MethodsThe PubMed, Scopus, PsycINFO, and Embase databases were systematically searched from day of inception until January 12, 2024. …”
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QUANTITATIVE METHOD OF ESTIMATE OF AERODROME BIRDS HAZARD RISK by V. A. Yudkin, M. A. Grabovski

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Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…Behavioral finance challenges traditional economic theories by demonstrating how cognitive and emotional biases systematically influence investor decisions. …”
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The effect of chatbot-based exercise interventions on physical activity, exercise habits, and sedentary behavior: A systematic review and meta-analysis of randomized controlled tr... by Qian Wang, Wenxian Yang, Kai Xu, Lawrence T Lam

“…Objectives Chatbots, transcending the limitations of space and time while reducing user resistance, offer a personalized and autonomous approach potentially enhancing digital health interventions. This systematic review aims to quantitatively evaluate the effectiveness of chatbot-based exercise interventions (EIs) in randomized controlled trials (RCTs), emphasizing physical activity (PA), exercise habits (EH), and sedentary behavior (SB). …”
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A qualitative metasynthesis on the sexual health of women who have undergone female genital mutilation or cutting (FGM/C) living in western countries by Emmanuelle Gareau, Andréanne Dufour, Christina Zarowsky, Olivier Ferlatte

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A pioneering health education strategy based on the PRECEDE-PROCEED model for women’s health challenges: a systematic review and logic framework by Khadijeh Khademi, Mohammad Hossein Kaveh

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Quantitative multi-pathway assessment of exposure to Escherichia coli for infants in Rural Ethiopia. by Yuke Wang, Yang Yang, Crystal M Slanzi, Xiaolong Li, Amanda Ojeda, Fevi Paro, Loïc Deblais, Habib Yakubu, Bahar Mummed Hassen, Halengo Game, Kedir Teji Roba, Elizabeth Schieber, Abdulmuen Mohammed Ibrahim, Jeylan Wolyie, Jemal Yusuf Hassen, Gireesh Rajashekara, Sarah L McKune, Arie H Havelaar, Christine L Moe, Song Liang

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Combining optical and electrical impedance techniques for quantitative measurement of confluence in MDCK-I cell cultures by Birgitte Freiesleben De Blasio, Morten Laane, Thomas Walmann, Ivar Giaever

“…In summary, the impedance measured with the ECIS technique provides a good quantitative measure of cell confluence.…”
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Zebras and Biting Flies: Quantitative Analysis of Reflected Light from Zebra Coats in Their Natural Habitat. by Kenneth H Britten, Timothy D Thatcher, Tim Caro

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Multiscale analysis of friction behavior at fretting interfaces by Zhinan Zhang, Shuaihang Pan, Nian Yin, Bin Shen, Jie Song

“…Abstract Friction behavior at fretting interfaces is of fundamental interest in tribology and is important in material applications. …”
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Orthogonal intercellular signaling for programmed spatial behavior by Paul K Grant, Neil Dalchau, James R Brown, Fernan Federici, Timothy J Rudge, Boyan Yordanov, Om Patange, Andrew Phillips, Jim Haseloff

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A Behavioral Model for Buyers of Organic Products (Components, Antecedents and Consequences) by Roya Sharifi, Bahram Kheiri, Yalda Rahmati

“…Then, based on the systematic approach suggested by Strauss and Corbin on three main steps of open, axial and selective coding, the behavioral model of the buyers of organic products was presented in terms of components, antecedents and consequences. …”
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Quantitative analysis of influencing factors of victimization risk of telecom network fraud driven by generative artificial intelligence by ZHOU Shengli, XU Rui, CHEN Tinggui, WANG Shaojie

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Quantitative Analysis of Ginger Maturity and Pulsed Electric Field Thresholds: Effects on Microstructure and Juice’s Nutritional Profile by Zhong Han, Pan He, Yu-Huan Geng, Muhammad Faisal Manzoor, Xin-An Zeng, Suqlain Hassan, Muhammad Talha Afraz

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Decomposition and Conceptualization to Support System Dynamics Behavior Modeling by Fiona Tulinayo, Theo van der Weide, Patrick van Bommel

“…Through applying the decomposition mechanism, we are able to better understand the underlying concepts of the stock and flow diagram and update behaviors of ORM objects. To achieve this, we use examples and an SD model derived from a case “Intrapartum process in Ugandan hospitals” to study the object behaviors. …”
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

“…The primary contribution of this study lies in its systematic investigation of model optimization techniques for edge deployment, including Post-Training Quantization, Quantization-Aware Training, and Data Representative Quantization. …”
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