In recent years, the pathological diagnosis of glomerular diseases typically involves the study of glomerular his-to pathology by specialized pathologists, who analyze tissue sections stained with Periodic Acid-Schiff (PAS) to assess tissue and cellular abnormalities. In recent years, the rapid development of generative adversarial networks composed of generators and discriminators has led to further developments in image colorization tasks. In this paper, we present a generative adversarial network by Spectral Normalization colorization designed for color restoration of grayscale images depicting glomerular cell tissue elements. The network consists of two structures: the generator and the discriminator. The generator incorporates a U-shaped decoder and encoder network to extract feature information from input images, extract features from Lab color space images, and predict color distribution. The discriminator network is responsible for optimizing the generated colorized images by comparing them with real stained images. On the Human Biomolecular Atlas Program (HubMAP)—Hacking the Kidney FTU segmentation challenge dataset, we achieved a peak signal-to-noise ratio of 29.802 dB, along with high structural similarity results as other colorization methods. This colorization method offers an approach to add color to grayscale images of glomerular cell tissue units. It facilitates the observation of physiological information in pathological images by doctors and patients, enabling better pathological-assisted diagnosis of certain kidney diseases.

The business world is currently undergoing a significant shift towards sustainability and intelligent automation, which presents both promising prospects and formidable hurdles for business owners. The increasing demand for sustainable goods and services, driven by pressing social and environmental issues, opens doors for entrepreneurs to establish companies that address these concerns. Moreover, automation and technological advancements have revolutionized the operational landscape of firms, providing entrepreneurs with novel opportunities to enhance efficiency and foster creativity. However, thriving in this dynamic environment necessitates a fresh skill set and innovative approaches. Entrepreneurs must actively acquire the requisite technological expertise to leverage the potential of intelligent automation while navigating the intricate legislative and social frameworks surrounding sustainability. Furthermore, they must demonstrate agility and adaptability, adept at pivoting strategies and offerings to align with the evolving business panorama. This study’s exploration of the intersection of automation and entrepreneurship resonates deeply with the principles of sustainability. By dissecting the challenges and strategies entrepreneurs use to embrace automation, the research contributes valuable insights to the ongoing discourse on feasible business practices within the context of burgeoning sustainability. The findings will assist policymakers by providing useful information to cultivate an environment conducive to sustainable, technology-based entrepreneurship.

The COVID-19 pandemic in 2019 heralded a downturn in the Thai economy, particularly in the tourism and hospitality sectors which rely heavily on international tourists. To decrease the dependence of international tourists, this research outlined three objectives as 1) explore and classify the high-end domestic tourism market among 77 provinces in Thailand, 2) study the potential and readiness of tourism resources and tourism products to cater to the demand of high-end domestic tourists, and 3) suggest tourism management approaches for domestic high-end tourists after the crisis. Both quantitative and qualitative research methodologies were applied to achieve the research objectives. Income was used to identify and segment high-end domestic tourists living in 77 provinces in Thailand, while a verified questionnaire collected data from 1200 respondents nationwide. Forty-one experts from different tourism-related agencies at local and regional levels were targeted using purposive sampling techniques, and semi-structured interviews were conducted to acquire qualitative data. High-end domestic tourists, classified by monthly income, were segmented into Silver (50,000–70,000 THB), Gold (70,001–90,000 THB), Diamond (91,001–110,000 THB), and Platinum groups (Over 110,001 THB). These high-end domestic tourists shared both similarities and differences in tourism needs, preferences, and behaviors. Sixteen provinces in six domestic regions demonstrated the potential and readiness of tourism resources and products to satisfy the needs, preferences, and behaviors of high-end domestic tourists.