Existing evaluation protocols for brain visual decoding predominantly rely on coarse metrics that obscure inter-model differences, lack neuroscientific foundation, and fail to capture fine-grained visual distinctions. To address these limitations, we introduce BASIC, a unified, multigranular evaluation framework that jointly quantifies structural fidelity, inferential alignment, and contextual coherence between decoded and ground-truth images. For the structural level, we introduce a hierarchical suite of segmentation-based metrics, including foreground, semantic, instance, and component masks, anchored in granularity-aware correspondence across mask structures. For the semantic level, we extract structured scene representations encompassing objects, attributes, and relationships using multimodal large language models, enabling detailed, scalable, and context-rich comparisons with ground-truth stimuli. We benchmark a diverse set of visual decoding methods across multiple stimulus-neuroimaging datasets within this unified evaluation framework. Together, these criteria provide a more discriminative, interpretable, and comprehensive foundation for evaluating brain visual decoding methods.

City streets, sidewalks, and public areas often serve as primary interaction points among diverse user groups, including residents, commuters, and visitors ( Gehl, 2011). These spaces carry social, economic, and cultural signifi - cance that influences navigation and user experience ( Mitra ˇ sinovi c & Mehta, 2021). Municipal governments and planning agencies recognize the importance of inclusive public spaces but face challenges in operation - alizing inclusivity ( Anttiroiko & De Jong, 2020). Traditional approaches may draw on universal design principles intended to accommodate a broad range of users, but these frameworks often take a one-size-fits-all approach that prioritizes physical accessibility over the social and cul - tural dimensions of public space use ( Low, 2020). In multicultural cities, where multiple languages, cultures, and religious practices converge, these complexities become particularly evident ( Fan et al., 2023; Lit - man, 2025; Salgado et al., 2021; Youngbloom et al., 2023). Research on inclusive design has provided valuable insights, but few methods combine qualitative depth with quantitative scale to under - stand inclusivity in urban contexts ( Anttiroiko & De Jong, 2020; Mehta, 2019; Zamanifard et al., 2019). Ethnographic research and interviews offer detailed perspectives on lived experience, while computer vision and machine learning enable assessments at larger scales ( Ibrahim et al., 2020). However, large-scale computational approaches often overlook intersectional dimensions ( Zhu et al., 2025). This gap calls for integrated models that merge qualitative and quantitative methodologies.

Urban greenery is often linked to better health, yet findings from past research have been inconsistent. One reason is that official greenery metrics measure the amount or nearness of greenery but ignore how often people actually may potentially see or use it in daily life. To address this gap, we introduced a new classification that separates on-road greenery, which people see while walking through streets, from off-road greenery, which requires planned visits. We did so by combining aerial imagery of Greater London and greenery data from OpenStreetMap with quantified greenery from over 100,000 Google Street View images and accessibility estimates based on 160,000 road segments. We linked these measures to 7.45 billion medical prescriptions issued by the National Health Service and processed through our methodology. These prescriptions cover five conditions: diabetes, hypertension, asthma, depression, and anxiety, as well as opioid use. As hypothesized, we found that green on-road was more strongly linked to better health than four widely used official measures. For example, hypertension prescriptions dropped by 3.68% in wards with on-road greenery above the median citywide level compared to those below it. If all below-median wards reached the citywide median in on-road greenery, prescription costs could fall by up to £3.15 million each year. These results suggest that greenery seen in daily life may be more relevant than public yet secluded greenery, and that official metrics commonly used in the literature have important limitations.

Jessica used to come for tea on Tuesdays, and all she wanted to do was cut grass. Because she was a couple of years younger than me, she couldn't encounter a ChuChu or a Bokoblin without dying, so instead she'd spend hours slicing at virtual greenery. At the time, I found it a little annoying. In hindsight, I understand that Jessica was simply following in the footsteps of our ancestors. Grass-cutting has been a mainstay of video games for decades.

In a densely populated city like Dhaka (Bangladesh), a growing number of high-rise buildings is an inevitable reality. However, they pose mental health risks for citizens in terms of detachment from natural light, sky view, greenery, and environmental landscapes. The housing economy and rent structure in different areas may or may not take account of such environmental factors. In this paper, we build a computer vision based pipeline to study factors like sky visibility, greenery in the sidewalks, and dominant colors present in streets from a pedestrian's perspective. We show that people in lower economy classes may suffer from lower sky visibility, whereas people in higher economy classes may suffer from lack of greenery in their environment, both of which could be possibly addressed by implementing rent restructuring schemes.

Chinese electronics company Huawei is now the world's third-biggest mobile phone manufacturer – though it's still a brand many people don't know well. Its latest releases, the Huawei P10 and P10 Plus, build on last year's P9 by lavishing improvements all round and adding a notable extra focus on colour. While it's become common in recent years for premium phones to be presented in metallic colour variants (gold, silver, rose gold), it's been left to more affordable handsets, usually clad in plastic casing, to go for bright hues. Think the Apple iPhone 5C or models from HTC and, until recently, Microsoft. Huawei has gone further, producing its top-of-the-range P10 in eight shades, yes eight. One of them, rose gold, will only be available in China.

Following the announcements of the Mate 9 for business users and the Honor 6X for on-line purchases, Huawei is using MWC to launch its consumer-centric products. The company launched the P10 and P10 Plus smartphones and its second-generation smartwatch Watch 2. The P10 and P10 Plus leverage the same Kirin 960 processor used in the Mate 9 with enhanced hardware and software application capabilities. The P10 series includes dual cameras with Leica lenses front and back. The most interesting features of the new devices, however, is the expansion of the artificial intelligence (AI) capabilities of Hiborg and the addition of Highlights. Hiborg is an AI framework that analyzes how a device is used and information about the users.