Kubota appoints new sales manager for Ireland
Kubota (UK) has appointed Gary Walsh as agricultural and groundcare dealer manager for Ireland.
Kubota (UK) has appointed Gary Walsh as agricultural and groundcare dealer manager for Ireland.
This project has a peculiar condition: between an industrial school and a cemetery, it gained an unexpected prominence, so much that, in 1942, Lisbon City Council intended its demolition. This was not to be, and so it remained: a collective housing building from the early 20th century, with a refined front façade, blind side façades and a utilitarian rear façade.
by Anna Fernandez-Falgueras, Monica Coll, Anna Iglesias, Coloma Tiron, Oscar Campuzano, Ramon Brugada
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by Matthew C. Kochem, Emily C. Hanselman, Paul A. S. Breslin
The sweet taste receptor, TAS1R2-TAS1R3, is expressed in taste bud cells, where it conveys sweetness, and also in intestinal enteroendocrine cells, where it may facilitate glucose absorption and assimilation. In the present study, our objective was to determine whether TAS1R2-TAS1R3 influences glucose metabolism bidirectionally via hyperactivation with 5 mM sucralose (n = 12) and inhibition with 2 mM sodium lactisole (n = 10) in... Читать дальше...
by Seyed Majid Hasani Azhdari, Azar Mahmoodzadeh, Mohammad Khishe, Hamed Agahi
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by Amara Hazel Solorio-Rivera, Martín Calderón-Juárez, Jesús Arellano-Martínez, Claudia Lerma, Gertrudis Hortensia González-Gómez
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by Md. Galib An-Noor Amio, Humaira Nafisa Ahmed, Syed Mithun Ali, Sayem Ahmed, Abhijit Majumdar
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by Felipe Liporaci, Danilo Carlotti, Ana Carlotti
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient’s outcome. Data on machine-learning models to predict BSI in pediatric patients are limited and neither study included time series data. We aimed to develop a machine learning model to predict an early diagnosis of BSI in patients admitted to the PICU. Читать дальше...
by Lulah Alnaji
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on the effectiveness of these models in predicting the spread and severity of cases using data from June 3 to December 31, 2022, and evaluates them against test data from January 1 to February 7, 2023. The study highlights the potential of neural networks in epidemiology... Читать дальше...
by Namrah Anwar, Qurratulain Chundriger, Sohail Awan, Tariq Moatter, Tazeen Saeed Ali, Maria Abdul Rasheed, Shahid Pervez
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by Chibamba Mumba, Zoran Muhimbe, Victor Mapulanga, Musonda Kawimbe, Keagan Mutale, Anglin Hamasuku, Jane Musumali, Nicholas K. Mwale, Owen Ngalamika
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by Victor Elijah Adeyemo, Anna Palczewska, Ben Jones, Dan Weaving
The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movement. Since movement patterns can only occur as consecutive, non-consecutive, or non-sequential, this study aimed to identify the best set of movement patterns for player movement profiling in professional rugby league and quantify the similarity among distinct movement patterns. Читать дальше...
by Phi-Dinh Hoang, Ly-Thi Nguyen, Binh-Quoc Tran, Dao-Thi Ta
This research explores the nexus between corporate governance and sustainable development, focusing on State-Owned Enterprises (SOEs) in Vietnam. Recognizing the pivotal role of SOEs in the national economy, this study employs a Multi-Criteria Decision-Making approach (MCDM) to assess and enhance the corporate governance frameworks of these entities. First, the Data Envelopment Analysis (DEA) model is employed to identify the most... Читать дальше...
by Syed Fahad Ali, Nayyer Masood
Twitter, the largest microblogging platform, has reported more than 330 million active users in recent years. Many users express their sentiments about politics, sports, products, personalities, etc. Sentiment analysis has emerged as a specialized branch of machine learning in which tweets are binary-classified to provide sentimental insights. A major step in sentiment classification is feature selection, which primarily revolves around parts of speech (POS). Читать дальше...
by Tongyi Li, Liangliang Geng, Yunjiao Yang, Guannan Liu, Haichen Li, Cong Long, Qiu Chen
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by Ana I. Gonçalves, Márcia T. Rodrigues, Sang-Jin Lee, Anthony Atala, James J. Yoo, Rui L. Reis, Manuela E. Gomes
by Karolina E. Zaborska, Seon A. Lee, Darline Garibay, Eumee Cha, Bethany P. Cummings
by The PLOS ONE Editors
by Chen Chen, Heng Mei, Wei Shi, Jun Deng, Bo Zhang, Tao Guo, Huafang Wang, Yu Hu
by Ying Ju Chen, Meei Ling Sheu, Keh Sung Tsai, Rong Sen Yang, Shing Hwa Liu
by Xiao Gan, Palanivelu Sengottaiyan, Kyu Hyong Park, Sarah M. Assmann, Réka Albert
Читать дальше...What you need to know before visiting the James Beard-nominated chef's new restaurant overlooking Bde Maka Ska.
Photo by Alika Jenner/Getty Images
Another huge team win gives the Mariners their fifth straight series win.
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