Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Currently, the application of omics technologies, including genomics, transcriptomics, and metabolomics, offers novel insights into molecular mechanisms that enable the identification of specific biomarkers associated with MP exposure. Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian... by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

“…Most studies agree that Artificial Neural Networks (ANN) and Machine Learning (ML) models outperform conventional statistics in predicting postoperative outcomes.…”
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Osteopenia Metabolomic Biomarkers for Early Warning of Osteoporosis by Jie Wang, Dandan Yan, Suna Wang, Aihua Zhao, Xuhong Hou, Xiaojiao Zheng, Jingyi Guo, Li Shen, Yuqian Bao, Wei Jia, Xiangtian Yu, Cheng Hu, Zhenlin Zhang

“…A few metabolites were identified as candidate early-warning biomarkers by machine learning analysis, which could indicate bone loss and provide new prevention guidance for osteoporosis.…”
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PreciPalm: An Intelligent System for Calculating Macronutrient Status and Fertilizer Recommendations for Oil Palm on Mineral Soils Based on a Precision Agriculture Approach by Kudang Boro Seminar, Harry Imantho, null Sudradjat, Sudirman Yahya, Sirojul Munir, Indra Kaliana, Fajar Mei Haryadi, Awalia Noor Baroroh, null Supriyanto, Gani Cahyo Handoyo, Arif Kurnia Wijayanto, Cecep Ijang Wahyudin, null Liyantono, Rhavif Budiman, Achmad Bakir Pasaman, Dwi Rusiawan, null Sulastri

“…This research aims to determine macronutrients, specifically nitrogen (N), phosphorus (P), and potassium (K) contents in oil palm leaves based on PA principles using the integration of remote sensing technology and machine learning to quickly obtain the macronutrient status from oil palm plantation areas. …”
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Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review by Milena Soriano Marcolino, Lucca Fagundes Ramos Oliveira, Lucas Rocha Valle, Luiza Marinho Motta Santa Rosa, Zilma Silveira Nogueira Reis, Thiago Barbabela de Castro Soares, Elidéa Lúcia Almeida Bernardino, Raniere Alislan Almeida Cordeiro, Raquel Oliveira Prates, Mario Fernando Montenegro Campos

“…ConclusionsThis systematic review will identify human-machine systems that enable communication in health services involving deaf patients, presenting the framework that includes usability and application in human contexts. …”
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War-related eye trauma: a study of civilian and military cases from Ukraine's ongoing conflict by Kamil Jonak, Magdalena Matysiak, Tomasz Choragiewicz, Dominika Nowakowska, Andriy Zimenkovsky, Volodymyr Shybinskyi, Myroslawa Sekh, Robert Karpiński, Robert Karpiński, Robert Karpiński, Arkadiusz Podkowiński, Robert Rejdak

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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…In the realm of machine learning in healthcare, federated learning (FL) is often recognized as a practical solution for addressing issues related to data privacy and data distribution. …”
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Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods by Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica Velickovic, Jacqueline Dinnes

“…Of the seven reviews reporting model development and validation, six included only machine learning models. Two reviews included external validations of models, although only one review reported any details on external validation methods or results. …”
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Novel (±)-trans-β-lactam ureas: Synthesis, in silico and in vitro biological profiling by Jurin Mladenka, Stepanić Višnja, Bojanić Krunoslav, Vadlja Denis, Kontrec Darko, Dražić Tonko, Roje Marin

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Accelerating phase field simulations through a hybrid adaptive Fourier neural operator with U-net backbone by Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

“…In this paper, we propose a U-shaped adaptive Fourier neural operator (U-AFNO), a machine learning (ML) based model inspired by recent advances in neural operator learning. …”
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The right to be forgotten in the context of the Russian-Ukrainian war by S. O. Popova

“…It was emphasized that transnational corporations, by exiting the russian market, exert a significant influence on the lack of financing of the military machine, preserving their good name. It was concluded that there is another side of the medal of the right to be forgotten, when certain information, despite its resonance, must be forgotten so that the victim can live on and count on an objective attitude towards himself. …”
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MMP9-Associated Tumor Stem Cells, CCL1-Silenced Dendritic Cells, and Cytokine-Induced Killer Cells Have a Remarkable Therapeutic Efficacy for Acute Myeloid Leukemia by Activating T... by Min Dong, Guozhen Zhang, Jie Meng, Biou Liu, Duanfeng Jiang, Feng Liu

“…Gene expression profiles of leukemia patients were obtained from TCGA, DC cell components were evaluated using the quanTIseq method, and cancer stem cell scores were estimated using machine learning methods. The transcriptomes were obtained in DC-CIK cells from normal and AML patients by high-throughput sequencing. …”
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Exploring the predictive power of antinuclear antibodies and Rheumatoid factor correlations in anticipating therapeutic outcomes for female patients with coexisting Sjögren's syndr... by Anitha Krishnan Pandarathodiyil, Hema Shree K, Pratibha Ramani, B. Sivapathasundharam, Ramya Ramadoss

“…These findings suggest that machine learning models could enhance personalized treatment strategies for patients with SS and RA, but additional validation with larger datasets is required.…”
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Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection by Agnieszka Kraft, Michaela B. Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

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A Novel Stacked Model for Classification of Vocal Cord Paralysis Over Imbalanced Vocal Data by K. Jayashree Hegde, K. Manjula Shenoy, K. Devaraja

“…Over time, many classification systems have been developed for voice-related disorders using machine learning methods and limited usage of deep learning techniques. …”
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Evaluación bibliométrica de la investigación sobre Tecnologías Habilitadoras para la Transformación Digital en Cuba by Yudayly Stable-Rodríguez, Lee Yang Díaz-Chieng, Alfredo Javier Pérez Gamboa, Esteban Rodríguez-Torres

“…Hubo mayoría de las temáticas artificial inteligente, machine learning, learning systems, human computer interaction y data minning relacionados con la salud. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…ObjectiveThis study aims to use BERTopic (a topic modeling technique that is an extension of the Bidirectional Encoder Representation from Transformers machine learning model) to explore the perceptions of online cancer communities regarding immunotherapy. …”
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An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX by Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa

“…Linked data and the Semantic Web make internet data machine-readable. Because of the increasing volume of linked data and Semantic Web data, storing and working with them using traditional approaches is not enough, and this causes limited hardware resources. …”
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Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…Future research will integrate advanced machine learning with signal processing to improve fault detection accuracy and evaluate the scalability and adaptability of the system for larger orchards and diverse agricultural applications.…”
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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…The paper ends with newly developed applications of the PPM, given modern machine learning capabilities, and some foreshadowing as to where the PPM might evolve.…”
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