Community benefits of mass distribution of three types of dual-active-ingredient long-lasting insecticidal nets against malaria prevalence in Tanzania: evidence from a 3-year clust... by Eliud Andrea Lukole, Jackie Cook, Jacklin F Mosha, Nancy S Matowo, Manisha A Kulkarni, Elizabeth Mallya, Tatu Aziz, Jacklin Martin, Mark Rowland, Immo Kleinschmidt, Alphaxard Manjurano, Franklin W Mosha, Natacha Protopopoff

“…Dual active ingredient LLINs (dual-AI LLINs) have been rolled out as an alternative to pyrethroid (PY)-only LLINs to counteract this. …”
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Identification and Functional Analysis of miRNAs in Extracellular Vesicles of Semen Plasma from High- and Low-Fertility Boars by Weidong Chen, Yanshe Xie, Zhiqian Xu, Yijun Shang, Wenzheng Yang, Pengyao Wang, Zhenfang Wu, Gengyuan Cai, Linjun Hong

“…AI technology has been widely used in pig production in China, but boar fertility affects the effectiveness of AI, and more and more studies have shown that there are significant differences in the fertility of boars with similar semen quality indicators. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatment. …”
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New era towards autonomous additive manufacturing: a review of recent trends and future perspectives by Haolin Fan, Chenshu Liu, Shijie Bian, Changyu Ma, Junlin Huang, Xuan Liu, Marshall Doyle, Thomas Lu, Edward Chow, Lianyi Chen, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…The additive manufacturing (AM) landscape has significantly transformed in alignment with Industry 4.0 principles, primarily driven by the integration of artificial intelligence (AI) and digital twins (DT). However, current intelligent AM (IAM) systems face limitations such as fragmented AI tool usage and suboptimal human-machine interaction. …”
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Empowering People with Disabilities in Smart Homes Using Predictive Informing by Marko Periša, Petra Teskera, Ivan Cvitić, Ivan Grgurević

“…The significance of establishing data sets as a foundation for future research, the development of ML models, and the utilization of AI is highlighted in this paper.…”
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Artificial Intelligence to Enhance Qualitative Research: Methodological Reflections on a Pilot Study by Maria Luongo, Michela Ponticorvo, Maria Beatrice Ligorio, Pietro Crescenzo, Giuseppe Ritella

“…In this study, we introduce and show a methodology step by step that integrates artificial intelligence (AI) in the analysis of qualitative data, with a focus on textual responses extracted from survey questions. …”
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An investigative analysis – ChatGPT’s capability to excel in the Polish speciality exam in pathology by Michał Bielówka, Jakub Kufel, Marcin Rojek, Dominika Kaczyńska, Łukasz Czogalik, Adam Mitręga, Wiktoria Bartnikowska, Dominika Kondoł, Kacper Palkij, Sylwia Mielcarska

“…Artificial intelligence (AI) in medicine is generating increasing interest, but its potential needs thorough evaluation. …”
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Warning people that they are being microtargeted fails to eliminate persuasive advantage by Fabio Carrella, Almog Simchon, Matthew Edwards, Stephan Lewandowsky

“…As microtargeting’s persuasive benefits are well-established and its use facilitated by AI tools and personality-inference models, ethical and regulatory concerns are magnified. …”
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Two transitions in complex eigenvalue statistics: Hermiticity and integrability breaking by Gernot Akemann, Federico Balducci, Aurélia Chenu, Patricia Päßler, Federico Roccati, Ruth Shir

“…We confirm that such an effective description of random matrices also applies in classes AI^{†} and AII^{†} up to next-to-nearest-neighbor spacings.…”
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Mapping the landscape of marketing technology: trends, theories and trajectories in ecosystem research by Noptanit Chotisarn, Thadathibesra Phuthong

“…Key research themes include artificial intelligence (AI), blockchain, digital marketing and customer experience. …”
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Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence by Tu T. Nguyen, Hoa Pham Duy, Tung Pham Thanh, Hoang Hiep Vu

“…This paper describes the application of two artificial intelligence- (AI-) based methods to predict the 28-day compressive strength of fiber-reinforced high-strength self-compacting concrete (FRHSSCC) from its ingredients. …”
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The distinctions and the value of physician-scientists: a call for sustained support and nourishment by Bruno Bezerril Andrade

“…The rise of artificial intelligence (AI) presents new opportunities and challenges for these professionals, as AI can enhance their dual roles in research and patient care. …”
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A New Double Color Image Watermarking Algorithm Based on the SVD and Arnold Scrambling by Ying Li, Musheng Wei, Fengxia Zhang, Jianli Zhao

“…In each (i,j) pixel block Ai,j, we form a real matrix Ci,j with the red, green, and blue components of Ai,j and perform the SVD of Ci,j. …”
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CONCEPTUALIZATION OF ARTIFICIAL INTELLIGENCE IN RUSSIAN MEDIA DISCOURSE by Elena N. Galichkina

“…The article focuses on the tendencies in artificial intelligence (AI) conceptualization based on the analysis of Russian media discourse. …”
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High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA by Abdurrahman Wahab, Hemin Ibrahim

“…The study employs traditional statistical methods and advanced AI-based algorithms to categorize and analyze a dataset comprising 225 students admitted between 2014 through 2019. …”
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Artificial intelligence across oncology specialties: current applications and emerging tools by Frank Lin, Tim Rattay, John Kang, Evangelia Katsoulakis, Kyle Lafata, Ellen Kim, Christopher Yao, Harsha Nori, Christoph Ilsuk Lee

“…Artificial intelligence (AI) provides a solution to ingest and digest this data deluge to improve detection, prediction and skill development. …”
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Delay-sensitive traffic intellisense scheduling based on optimal decision tree by Xuerong WANG, Zhengzhi TANG, Yinchuan LI, Meiyu QI, Jianbo ZHU, Liang ZHANG

“…Currently, network traffic scheduling strategy cannot be intelligent and on-demand, especially in the congestion caused by sudden network failures and escort scenarios of high-value services.They cannot guarantee latency-sensitive service experience on demand.The delay-sensitive attribute requirements of different network traffic were analyzed and studied, and the internal correlation between the behavior characteristics of varying network traffic and its delay sensitivity requirements was explored.Then, AI technology was used to learn this inherent relationship and construct its mapping relationship, realizing a traffic scheduling technical solution based on the intelligent awareness of delay-sensitive traffic.At the same time, considering the practical issues of interpretability and deploy-ability of AI models, reinforcement learning (RL) technology was used to prune and optimize the interpretable decision tree model, which improved the robustness of the model and made model lighter and easier to implement in equipment deployment.Through experiments by the collected real network traffic, the decision tree model optimized by reinforcement learning could improve the awareness accuracy by 1.75% in a single inference case, and the inference performance was improved by about 30%.The experiment also proved that using micro-statistical features for multiple inferences could help improve the model accuracy; in all experiments, the scale of the decision tree model optimized by RL was reduced by about 60.0%～87.2%, and the Saras had better optimization performance than Q-learning.…”
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Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support by Serhat Aydin, Mert Karabacak, Victoria Vlachos, Konstantinos Margetis

“…Safety concerns are particularly acute when patients rely solely on AI-generated advice for self-medication decisions. …”
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Trends in pharmaceutical marketing and branding research: a bibliometric analysis (2009–2023) by Thamburaj Anthuvan, Kajal Maheshwari, Raghunath Dantu

“…The study also highlighted a shift toward AI-driven marketing, digital transformation and personalized medicine, especially in the post-COVID-19 period (2020 onwards). …”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

“…Also, the review discusses the application of the various (AI) algorithms on the various wastewater treatment plants (WWTPs), predicting (“WWTP”) effluent properties, the wastewater inflows, the anomaly detecting, and the energy optimization. …”
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