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The role of priming and memory in rice environmental stress adaptation:current knowledge and perspectives
Get PDFPlant responses to abiotic stresses are dynamic, following the unpredictable changes of physical environmental parameters such as temperature, water and nutrients. Physiological and phenotypical responses to stress are intercalated by periods of recovery. An earlier stress can be remembered as ‘stress memory’ to mount a response within a generation or transgenerationally. The ‘stress priming’ phenomenon allows plants to respond quickly and more robustly to stressors to increase survival, and therefore has significant implications for agriculture. Although evidence for stress memory in various plant species is accumulating, understanding of the mechanisms implicated, especially for crops of agricultural interest, is in its infancy. Rice is a major food crop which is susceptible to abiotic stresses causing constraints on its cultivation and yield globally. Advancing the understanding of the stress response network will thus have a significant impact on rice sustainable production and global food security in the face of climate change. Therefore, this review highlights the effects of priming on rice abiotic stress tolerance and focuses on specific aspects of stress memory, its perpetuation and its regulation at epigenetic, transcriptional, metabolic as well as physiological levels. The open questions and future directions in this exciting research field are also laid out
Mask R-CNN Transfer Learning Variants for Multi-Organ Medical Image Segmentation
Get PDFMedical abdomen image segmentation is a challenging task owing to discernible characteristics of the tumour against other organs. As an effective image segmenter, Mask R-CNN has been employed in many medical imaging applications, e.g. for segmenting nucleus from cytoplasm for leukaemia diagnosis and skin lesion segmentation. Motivated by such existing studies, this research takes advantage of the strengths of Mask R-CNN in leveraging on pre-trained CNN architectures such as ResNet and proposes three variants of Mask R-CNN for multi-organ medical image segmentation. Specifically, we propose three variants of the Mask R-CNN transfer learning model successively, each with a set of configurations modified from the one preceding. To be specific, the three variants are (1) the traditional transfer learning with customized loss functions with comparatively more weightage on the segmentation performance, (2) transfer learning based on Mask R-CNN with deepened re-trained layers instead of only the last two/three layers as in traditional transfer learning, and (3) the fine-tuning of Mask R-CNN with expansion of the Region of Interest pooling sizes. Evaluating using Beyond-the-Cranial-Vault (BTCV) abdominal dataset, a well-established benchmark for multi-organ medical image segmentation, the three proposed variants of Mask R-CNN obtain promising performances. In particular, the empirical results indicate the effectiveness of the proposed adapted loss functions, the deepened transfer learning process, as well as the expansion of the RoI pooling sizes. Such variations account for the great efficiency of the proposed transfer learning variant schemes for undertaking multi-organ image segmentation tasks
Effects of plant diversity on productivity strengthen over time due to trait-dependent shifts in species overyielding
Get PDFExploring the Role of Industry 4.0 on Global Logistics:Challenges in Big Data and IoT
Get PDFThe globalization of the economy and consumers' increasing demand for customized products have led to a rise in the complexity of global logistics chains. In response to these challenges, the integration of logistics with the Internet of Things (IoT) and Big Data, known as Logistics 4.0, offers opportunities for more efficient planning, control, and adaptation of logistics processes. Industry 4.0, with its emphasis on IoT and Big Data analytics, significantly influences the logistics sector, making it a pioneer in the digital transformation of the entire economy. This paper seeks to review and analyze the role and impacts of Industry 4.0 on global logistics, while also addressing the main challenges related to IT security, data protection, and successful implementation of Big Data Analytics in the supply chain. Additionally, it aims to explore the changes in work systems within companies due to digital transformation in logistics
Comparison of histological delineations of medial temporal lobe cortices by four independent neuroanatomy laboratories
Get PDFThe medial temporal lobe (MTL) cortex, located adjacent to the hippocampus, is crucial for memory and prone to the accumulation of certain neuropathologies such as Alzheimer's disease neurofibrillary tau tangles. The MTL cortex is composed of several subregions which differ in their functional and cytoarchitectonic features. As neuroanatomical schools rely on different cytoarchitectonic definitions of these subregions, it is unclear to what extent their delineations of MTL cortex subregions overlap. Here, we provide an overview of cytoarchitectonic definitions of the entorhinal and parahippocampal cortices as well as Brodmann areas (BA) 35 and 36, as provided by four neuroanatomists from different laboratories, aiming to identify the rationale for overlapping and diverging delineations. Nissl-stained series were acquired from the temporal lobes of three human specimens (two right and one left hemisphere). Slices (50 μm thick) were prepared perpendicular to the long axis of the hippocampus spanning the entire longitudinal extent of the MTL cortex. Four neuroanatomists annotated MTL cortex subregions on digitized slices spaced 5 mm apart (pixel size 0.4 μm at 20× magnification). Parcellations, terminology, and border placement were compared among neuroanatomists. Cytoarchitectonic features of each subregion are described in detail. Qualitative analysis of the annotations showed higher agreement in the definitions of the entorhinal cortex and BA35, while the definitions of BA36 and the parahippocampal cortex exhibited less overlap among neuroanatomists. The degree of overlap of cytoarchitectonic definitions was partially reflected in the neuroanatomists' agreement on the respective delineations. Lower agreement in annotations was observed in transitional zones between structures where seminal cytoarchitectonic features are expressed less saliently. The results highlight that definitions and parcellations of the MTL cortex differ among neuroanatomical schools and thereby increase understanding of why these differences may arise. This work sets a crucial foundation to further advance anatomically-informed neuroimaging research on the human MTL cortex
The sigma invariants for the golden mean Thompson group
Get PDFWe use a method of Bieri, Geoghegan and Kochloukova to calculate the BNSR-invariants for the Golden-Mean Thompson’s group. To do so we establish conditions under which the Sigma invariants coincide with those of a subgroup of finite index, addressing a problem posed by Strebel
Applying ADDIE model to develop multimedia lessons for adolescent reproductive health education in Uganda
Get PDFExploring how mumpreneurs use digital platforms’ algorithms and mechanisms to generate different types of value
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REFLECTIONS ON CYBORG COLLABORATIONS:CROSS-DISCIPLINARY COLLABORATIVE PRACTICE IN TECHNOLOGICALLY-FOCUSED CONTEMPORARY MUSIC
Get PDFCreating new works combining live musicians with new technologies provides both opportunities and challenges. The Cyborg Soloists research project has commissioned and managed the creation of 46 new works of this type, assembling teams of composers, performers, researchers and technology partners from industry. The majority of these collaborations have been smooth-running and fruitful, but a few have demonstrated complications. This article critically evaluates collaborative methods and methodologies used in the project so far, presenting five case studies involving different types of collaborative work, and exploring the range of professional relationships, the need for different types of expertise within the team and the way technology can act as both a creative catalyst and a source of creative resistance. The conclusions are intended as a toolkit – pragmatic guidelines to inform future practice – and are aimed at artists, technological collaborators, and commissioners and organisations who facilitate these types of creative collaborations
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