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Yufeng Wang, Xue Chen and Feng Xue
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ...
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Shuangyan Chen
Molecular breeding has revolutionized the improvement of forage crops by offering precise tools to enhance the yield, quality, and environmental resilience. This review provides a comprehensive overview of the current technologies, applications, and futu...
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Alwyn Tan, Sangeeta Rao and Mo Salman
Effective animal disease reporting is critical for early disease detection and control, but it is often hindered by various human behavioral barriers. This review outlines a comprehensive approach to understanding and addressing these barriers in animal ...
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Diego Rubiales, Eleonora Barilli and Nicolas Rispail
Pea (Pisum sativum) stands out as one of the most significant and productive cool-season pulse crops cultivated worldwide. Dealing with biotic stresses remains a critical challenge in fully harnessing pea?s potential productivity. As such, dedicated rese...
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Ryunosuke Komura and Masayuki Matsuoka
Malaria is a major public health concern, and accurate mapping of malaria risk is essential to effectively managing the disease. However, current models are unable to predict malaria risk with high temporal and spatial resolution. This study describes a ...
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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I. Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos and Nikolaos Papandrianos
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as recurrent diseases, predisposing factors, and diagnostic tests, also play a vital ro...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Takashi Nakamura, Hideto Fujii, Toru Watanabe, Sarann Ly, Sambo Lun, Yoichi Fujihara, Keisuke Hoshikawa, Kazuhiko Miyanaga and Chihiro Yoshimura
Spatiotemporal changes in waterborne disease risk were evaluated for the Chhnok Tru floating village in the Tonle Sap Lake by combining a hydraulic simulation and quantitative microbial risk assessment (QMRA). First, a three-dimensional (3D) hydraulic si...
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Chaiwat Netpakdee, Sittiwut Mathasiripakorn, Arthit Sribunrueang, Sompong Chankaew, Tidarat Monkham, Siwaret Arikit and Jirawat Sanitchon
Rice blast (BL) caused by Magnaporthe oryzae is a fungal disease causing significant yield losses in rice production worldwide. To overcome the breakdown of resistance by the rapid adaptation of pathogens, identifying resistance (R) genes or QTLs in indi...
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