The pursuit of net‐zero economy goals and government emphasis on sustainable performance has compelled numerous firms to focus on sustainable production through the adoption of net‐zero economy‐based ...green innovation. The digital transformation of manufacturing systems and supply chains, supported by the utilization of big data and the adoption of net‐zero economy‐oriented lean practices in the presence of net‐zero economy‐based green practices, can converge to enhance net‐zero economy‐based green innovation in manufacturing firms. This convergence leads to an improvement in green competitive advantage and net zero‐based green performance. To examine the aforementioned linkages using a framework based on the dynamic capabilities view paradigm, a time‐lagged design was employed to collect data from 594 manufacturing firms. The empirical findings indicate that big data analytics capabilities and net‐zero economy‐oriented lean practices of firms significantly influence net‐zero economy‐based green innovation. Green organizational identity strengthens the effect of net zero‐based green innovation on green competitive advantage and net zero‐based green performance.
National Research Institute for Earth Science and Disaster Resilience (NIED) integrated the land observation networks established since the 1995 Kobe earthquake with the seafloor observation networks ...established since the 2011 Tohoku earthquake and tsunami as MOWLAS (Monitoring of Waves on Land and Seafloor) in November 2017. The purpose of MOWLAS is to provide comprehensive, accurate, and rapid observation and monitoring of earthquake, tsunami, and volcano events throughout Japan and its offshore areas. MOWLAS data are widely utilized for long-term earthquake forecasting, the monitoring of current seismic activity, seismic and tsunami hazard assessments, earthquake early warning, tsunami warning, and earthquake engineering, as well as earthquake science. Ocean bottom observations provide an extension of observations to areas where no people are living and have the advantage of increasing lead time of earthquake early warning and tsunami warning. The application of recent technology advancements to real-time observations as well as the processing of MOWLAS data has contributed to the direct disaster mitigation of ongoing earthquakes. These observations are fundamental for both science and disaster resilience, and thus it is necessary to continue ceaseless operation and maintenance.
The recent renaissance of psychedelic science has reignited interest in the similarity of drug-induced experiences to those more commonly observed in psychiatric contexts such as the ...schizophrenia-spectrum. This report from a multidisciplinary working group of the International Consortium on Hallucinations Research (ICHR) addresses this issue, putting special emphasis on hallucinatory experiences. We review evidence collected at different scales of understanding, from pharmacology to brain-imaging, phenomenology and anthropology, highlighting similarities and differences between hallucinations under psychedelics and in the schizophrenia-spectrum disorders. Finally, we attempt to integrate these findings using computational approaches and conclude with recommendations for future research.
Discoveries over the past two decades demonstrate that regions distributed throughout the association cortex, often called the default network, are suppressed during tasks that demand external ...attention and are active during remembering, envisioning the future and making social inferences. This Review describes progress in understanding the organization and function of networks embedded within these association regions. Detailed high-resolution analyses of single individuals suggest that the default network is not a single network, as historically described, but instead comprises multiple interwoven networks. The multiple networks share a common organizational motif (also evident in marmoset and macaque anatomical circuits) that might support a general class of processing function dependent on internally constructed rather than externally constrained representations, with each separate interwoven network specialized for a distinct processing domain. Direct neuronal recordings in humans and monkeys reveal evidence for competitive relationships between the internally and externally oriented networks. Findings from rodent studies suggest that the thalamus might be essential to controlling which networks are engaged through specialized thalamic reticular neurons, including antagonistic subpopulations. These association networks (and presumably thalamocortical circuits) are expanded in humans and might be particularly vulnerable to dysregulation implicated in mental illness.
Purpose
To introduce a dual‐domain reconstruction network with V‐Net and K‐Net for accurate MR image reconstruction from undersampled k‐space data.
Methods
Most state‐of‐the‐art reconstruction ...methods apply U‐Net or cascaded U‐Nets in the image domain and/or k‐space domain. Nevertheless, these methods have the following problems: (1) directly applying U‐Net in the k‐space domain is not optimal for extracting features; (2) classical image‐domain–oriented U‐Net is heavyweighted and hence inefficient when cascaded many times to yield good reconstruction accuracy; (3) classical image‐domain–oriented U‐Net does not make full use of information of the encoder network for extracting features in the decoder network; and (4) existing methods are ineffective in simultaneously extracting and fusing features in the image domain and its dual k‐space domain. To tackle these problems, we present 3 different methods: (1) V‐Net, an image‐domain encoder–decoder subnetwork that is more lightweight for cascading and effective in fully utilizing features in the encoder for decoding; (2) K‐Net, a k‐space domain subnetwork that is more suitable for extracting hierarchical features in the k‐space domain, and (3) KV‐Net, a dual‐domain reconstruction network in which V‐Nets and K‐Nets are effectively combined and cascaded.
Results
Extensive experimental results on the fastMRI dataset demonstrate that the proposed KV‐Net can reconstruct high‐quality images and outperform state‐of‐the‐art approaches with fewer parameters.
Conclusions
To reconstruct images effectively and efficiently from incomplete k‐space data, we have presented a dual‐domain KV‐Net to combine K‐Nets and V‐Nets. The KV‐Net achieves better results with 9% and 5% parameters than comparable methods (XPD‐Net and i‐RIM).
Purpose & Methods Neuroendocrine neoplasms are a heterogenous group of tumours, for which nuclear medicine plays an important role in the diagnostic work-up as well as in the targeted therapeutic ...options. This guideline is aimed to assist nuclear medicine physicians in recommending, performing, reporting and interpreting the results of somatostatin receptor (SSTR) PET/CT imaging using Ga-68-DOTA-conjugated peptides, as well as F-18-DOPA imaging for various neuroendocrine neoplasms. Results & Conclusion The previous procedural guideline by EANM regarding the use PET/CT tumour imaging with Ga-68-conjugated peptides has been revised and updated with the relevant and recent literature in the field with contribution of distinguished experts.
A 53-year-old man was referred to our hospital for evaluation and treatment of an ileal neuroendocrine tumor (NET). Colonoscopy revealed a xanthochromic submucosal tumor of 3 mm in diameter in the ...terminal ileum. It was diagnosed as NET by histological analysis of a biopsy specimen. Preoperative examinations including contrast-enhanced CT, FDG-PET and small-bowel endoscopy did not reveal synchronous or distant metastatic lesions. As a result, the patient was diagnosed as having clinical stage I (cT1, N0, M0) NET. The patient underwent segmental resection of the ileum with D3 lymph node dissection. Despite the small diameter of the tumor, the final pathological diagnosis was grade 2 ileal NET accompanied by metastasis to the ileocolic lymph nodes (#203). Surgical resection and appropriate lymph node dissection should thus be considered for the treatment of ileal NET, regardless of tumor size.
Microglia have crucial roles in sculpting synapses and maintaining neural circuits during development. To test the hypothesis that microglia continue to regulate neural circuit connectivity in adult ...brain, we have investigated the effects of chronic microglial depletion, via CSF1R inhibition, on synaptic connectivity in the visual cortex in adult mice of both sexes. We find that the absence of microglia dramatically increases both excitatory and inhibitory synaptic connections to excitatory cortical neurons assessed with functional circuit mapping experiments in acutely prepared adult brain slices. Microglia depletion leads to increased densities and intensities of perineuronal nets. Furthermore,
calcium imaging across large populations of visual cortical neurons reveals enhanced neural activities of both excitatory neurons and parvalbumin-expressing interneurons in the visual cortex following microglia depletion. These changes recover following adult microglia repopulation. In summary, our new results demonstrate a prominent role of microglia in sculpting neuronal circuit connectivity and regulating subsequent functional activity in adult cortex.
Microglia are the primary immune cell of the brain, but recent evidence supports that microglia play an important role in synaptic sculpting during development. However, it remains unknown whether and how microglia regulate synaptic connectivity in adult brain. Our present work shows chronic microglia depletion in adult visual cortex induces robust increases in perineuronal nets, and enhances local excitatory and inhibitory circuit connectivity to excitatory neurons. Microglia depletion increases
neural activities of both excitatory neurons and parvalbumin inhibitory neurons. Our new results reveal new potential avenues to modulate adult neural plasticity by microglia manipulation to better treat brain disorders, such as Alzheimer's disease.
Infancy is a critical and immensely important period in human brain development. Subtle changes during this stage may be greatly amplified with the unfolding of different developmental processes, ...exerting far-reaching consequences. Studies of the structure and behavioral manifestations of the infant brain are fruitful. However, the specific functional brain mechanisms that enable the execution of different behaviors remained elusive until the advent of functional connectivity fMRI (fcMRI), which provides an unprecedented opportunity to probe the infant functional brain development in vivo. Since its inception, a burgeoning field of infant brain functional connectivity study has emerged and thrived during the past decade. In this review, we describe (1) findings of normal development of functional connectivity networks and their relationships to behaviors and (2) disruptions of the normative functional connectivity development due to identifiable genetic and/or environmental risk factors during the first 2 years of human life. Technical considerations of infant fcMRI are also provided. It is our hope to consolidate previous findings so that the field can move forward with a clearer picture toward the ultimate goal of fcMRI-based objective methods for early diagnosis/identification of risks and evaluation of early interventions to optimize developing functional connectivity networks in this critical developmental window.
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