Redevelopment of Huai Khwang Housing Project Responsive to Users’ Spatial Behaviors

Huai Khwang Housing is a public residential project, developed since 1972 in a fringe area of Bangkok at that time. The city has been gradually expanding, so now Huai Khwang Housing turns to be in the center of the city. There is a subway station 400 meters away from the site; therefore, the land value and potentials of this housing project has been increased. However, the physical conditions of the buildings are rather rundown since they have been utilizing for more than 50 years. The National Housing Authority of Thailand, the owner of this residence, has a plan to redevelop this housing project. The preliminary public hearing was set to inform the community about the future changes and intend to receive the opinions from the residents, who are elderlies residing in this community since it was built. Therefore, this paper aims to investigate the spatial behavior of elderly residents in this housing. The methods used include interviews and observations. The results show that the housing units are used in multi-functions and the spatial requirements include storage areas, a smell-locked and partitioning cooking area, a ventilating and sun-drying area for laundry, and spaces for air-conditioning units as well as satellite discs and washing machines. It is suggested that the redevelopment housing scheme should meet these requirements.

Carbon Dioxide Decomposition by a Parallel-Plate Plasma Reactor: Experiments and 2-D Modelling

The applicability of high voltage electrical discharges for the decomposition of CO2 has been extensively demonstrated. In this study, a new AC parallel-plate plasma reactor is presented which was designed for this purpose. Detailed experimental characterization and simulation of this reactor were performed. Gas chromatography of the exhaust gases enabled calculation of the CO2 conversion and energy efficiency. A conversion factor approximating 25% was obtained which is higher in comparison to existing plasma sources. Optical emission spectroscopy enabled the determination of the emission intensities of atoms and molecules inside the plasma and characterization of the discharge. The Stark broadening of the Balmer hydrogen line Hβ was used for the estimation of the electron density. The obtained densities were of the order of 5 × 1014 cm−3 which indicates that the electron kinetic energy dominated the discharge. The rotational, vibrational, and excitation temperatures were determined from the vibro-rotational band of the OH radical. A 2-temperature plasma was found where the estimated electron temperatures (~18000 K) were higher than the gas temperatures (~2000 K). Finally, a 2-D model using the fluid equations was developed for determining the main processes in the CO2 splitting. The solution to this model, using the finite element method, gave the temporal and spatial behaviors of the formed species densities, the electric potential, and the temperatures of electrons.

Spatiotemporal Characteristics and Resilience of Urban Network Structure during the Spring Festival Travel Rush: A Case Study of Urban Agglomeration in the Middle Reaches of Yangtze River in China

With the increasing trend of globalization, large-scale and diffuse population flow have become vital carriers characterizing users' spatial behaviors. Network analysis provides a new perspective to uncover the topology and evolution of the population flow and understand its influence on regional development. By gathering the Autonavi migration index during the Spring Festival travel rush (SFTR) in 2019, 2020, and 2021, the population flow networks among 31 cities of urban agglomeration in the middle reaches of the Yangtze River were constructed to analyze spatiotemporal dynamic characteristics and explore the structure resilience. Results show that although the changing trends of population flow during the 40-day SFTR of 2019, 2020, and 2021 are consistent, the population floating scale in 2020 and 2021 shows remarkable abnormalities before and after the Spring Festival due to the need for prevention and control of COVID-19. The intensity of population floating of the regional urban network in 2020 was the weakest, and Changsha became the focus of most population flow, while Wuhan was the most advantageous city in 2019 and 2021. As the third core city in the regional network, the siphon effect of Nanchang was still weak. A situation of tripartite confrontation in the region is formed. However, the higher intensity of population flow in 2021 increased the instability of the regional urban network, potentially exposing the region to higher risks and pressures. Therefore, it is necessary to pay more attention to the peripheral cities to improve regional resilience.

Transformation of home environments in pandemic: the concept of “life fits into room” in the new normal

PurposePandemic process has led re-questioning home environments within adaptations of new activities inside due to the restriction of outdoor usage. This paper aims to reveal spatial transformations carried out through the time spent at home during the COVID-19 pandemic.Design/methodology/approachA qualitative study is carried out based on Garfinkel’s (1961) ethnomethodology method (documentary method of interpretation). Analysis focused on the first month of pandemic in which urgent adaptations and solutions produced at home, and the situation in last two weeks of pandemic is analyzed within a control group and comparisons were made. Perec’s (1974) statement of “a user's manual” is used as a checklist of time-space-activity observations proposed on “mondayness, tuesdayness, wednesdayness, thursdayness, fridayness, saturdayness and sundayness.” Instead of daily period, activities performed on a weekly scale were recorded and time-dependent shifts of functions were revealed.FindingsFindings introduced new discussion topics to examine dwelling spaces in “new normal.” Comparisons indicate that hypothesis of gathering all activities in room in terms of “life fits into room” concept is directed through rapid spatial behaviors in daily life as primary adaptation.Research limitations/implicationsAlthough pandemic process continues after study, analysis of first four weeks are accepted as the period of rapid change and compared by last two weeks of pandemic.Originality/valuePandemic indicators proposed in study brings along that there is little information on the subject in literature. Socio-spatial findings address the examinations of spatial transformations into pandemic adaptation.

Interpreting wide-band neural activity using convolutional neural networks

Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires considerable knowledge about the nature of the representation and often depends on manual operations. Decoding provides a means to infer the information content of such recordings but typically requires highly processed data and prior knowledge of the encoding scheme. Here, we developed a deep-learning framework able to decode sensory and behavioral variables directly from wide-band neural data. The network requires little user input and generalizes across stimuli, behaviors, brain regions, and recording techniques. Once trained, it can be analyzed to determine elements of the neural code that are informative about a given variable. We validated this approach using electrophysiological and calcium-imaging data from rodent auditory cortex and hippocampus as well as human electrocorticography (ECoG) data. We show successful decoding of finger movement, auditory stimuli, and spatial behaviors – including a novel representation of head direction - from raw neural activity.

The Utility of GIS for Identifying Areas of Recreation Conflict for Targeted Interpretive Messaging

Past research has extensively studied interpretive messaging and visitor conflict within parks and protected areas. However, comprehensive understanding of how to identify trailside interpretive sign locations is lacking. The purpose of this study was to introduce an approach using geographic information systems (GIS) that supplements decision-making regarding sign placement. The study site was Grand Canyon National Park’s Rim to Rim (R2R) corridor. To identify sign placement locations, two analytical phases were conducted. First, GPS data loggers were distributed to visitors and their travel patterns were analyzed for spatial behaviors and spatial interactions that are known to influence the likelihood of recreation conflict. Specifically, locations with a high variance of visitor travel speeds and locations with concentrated visitor use were identified. Second, geographic data were analyzed to identify locations for a combination of features that together influence the likelihood of recreation conflict. Specifically, popular bidirectional trail segments with significant elevation change were identified. We reported these locations and areas using GPS coordinates for evaluation by future research. This research was a necessary step towards comprehensively understanding how to identify locations for interpretive signs.

181 Utilization of the Nutrack Livestock Monitoring System to Identify Changes in General and Spatial Behaviors of Newly Weaned Nursery Exposed to an Endotoxin Challenge

Incorporation of precision livestock technology has the potential to provide swine producers with the means to rapidly and accurately identify immune-compromised pigs, allowing for accurate and timely interventions. The objective of this study was to utilize the NUtrack System (NUtrack) to identify changes in general (lying, standing and sitting) and spatial behaviors (at the feeder and meters/day) of newly weaned pigs exposed to a lipopolysaccharide (LPS) challenge. To achieve this objective, 12 nursery pens with 192 weaned pigs (16 pigs/pen) were randomly assigned to three treatments (4 pens/treatment): Control (saline injection), Mixed (8 pigs/pen received an LPS challenge and 8 pigs received saline injection) and 100% (all pigs received LPS). The LPS challenge consisted of a bolus subcutaneous injection at 300 µg/kg BW (E. coli O111:B4). Prior to placement, NUtrack was installed above the 12 nursery pens and initiated continuous data capture for the duration of the nursery phase (43 days). Ten days after placement in the nursery pens pigs received the assigned challenge (LPS or sham). Data were analyzed using the MIXED procedure of SAS specific for repeated measures (SAS Inst. Inc., Cary, NC). Regardless of treatment group, general special behaviors were similar (P = >0.28) prior to the LPS challenge (days 1–9). Following LPS challenge (day 10), spatial behaviors decreased (P = <0.01) and time associated with general behaviors increased (P = <0.01) for LPS challenged pigs when compared to pigs not challenged (Control and 50% non-challenged). This change in both general and spatial behaviors remained until day 12. In addition, general and spatial behaviors of the 50% treatment (challenged and non-challenged) were different (P = < 0.03), when compared to Controls. Results suggest precision livestock technology, like the NUtrack System, has the potential to monitor changes in behaviors following an endotoxin challenge.

CORES: Interactions of artistic and scientific perspectives

<p><strong>CORES: Interactions of artistic and scientific perspectives</strong></p><p><strong>Bernard GUELTON, Université Paris 1 Panthéon Sorbonne, ANR CORES</strong></p><p><strong> </strong></p><p>Artistic context</p><p>The research team Fictions & Interactions of the University Paris 1 and the media company ORBE have developed since 2013 collective artistic experiments between distant cities (Paris, Shanghai, Montreal, Rio de Janeiro). Using specially designed interactive applications and creative scenarios, the goal was to connect remote walkers between one or the other of these cities. The project was to hybridize urban spaces of different conformities through physical, virtual and fictional interactions between participants.</p><p>The artistic practices of space and especially the interactions between distant walkers do not simply provide a context for study here, but form a kind of anticipation of the post-representational paradigm of cartography with examples such as the psycho-geography of the situationists in the late 1950s. As early as 1994, an artist like Fujihata used GPS technology in his project Impressing Velocity. The data collected by Fujihata models the itinerary by producing a contraction of the form during a rapid movement, or an expansion of the form during a slow movement. However, it is from the 2000s that groups of artists from participatory theater such as Blast Theory use GPS technologies, visual and verbal interactions to connect walkers in tasks of exploration or playful interaction.</p><p>Scientific implications</p><p>After several years of experimentation on collective walks using instrumental and shared CTs, a central scientific question has clearly emerged: to what extent are instrumental and shared maps likely to modify our behaviours and spatial representations?</p><p>To answer the question of the impact of mapping tools and collective interactions on collective representations, the CORES project associates and crosses geography, geomatics, cognitive psychology, computer science, artistic practices of walking, design and data visualization. Each of these disciplines contributes to the proposed methodology. Spatial cognition from cognitive psychology is now extended and transformed by the neurophysiology of brain areas dedicated to spatial behaviors. If the study of representations in space has long associated cognitive psychology and geographical sciences, the CORES project renews this association in an original way by closely linking representations of space to behaviours with an approach that is no longer only static, but above all dynamic. Thus, a dynamic approach to the trackings of walkers in relation to a dynamic approach to drawn representations forms an important stake at the level of the proposed methodology.</p>

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Histopathological images are a rich but incompletely explored data type for studying cancer. Manual inspection is time consuming, making it challenging to use for image data mining. Here we show that convolutional neural networks (CNNs) can be systematically applied across cancer types, enabling comparisons to reveal shared spatial behaviors. We develop CNN architectures to analyze 27,815 hematoxylin and eosin scanned images from The Cancer Genome Atlas for tumor/normal, cancer subtype, and mutation classification. Our CNNs are able to classify TCGA pathologist-annotated tumor/normal status of whole slide images (WSIs) in 19 cancer types with consistently high AUCs (0.995 ± 0.008), as well as subtypes with lower but significant accuracy (AUC 0.87 ± 0.1). Remarkably, tumor/normal CNNs trained on one tissue are effective in others (AUC 0.88 ± 0.11), with classifier relationships also recapitulating known adenocarcinoma, carcinoma, and developmental biology. Moreover, classifier comparisons reveal intra-slide spatial similarities, with an average tile-level correlation of 0.45 ± 0.16 between classifier pairs. Breast cancers, bladder cancers, and uterine cancers have spatial patterns that are particularly easy to detect, suggesting these cancers can be canonical types for image analysis. Patterns for TP53 mutations can also be detected, with WSI self- and cross-tissue AUCs ranging from 0.65-0.80. Finally, we comparatively evaluate CNNs on 170 breast and colon cancer images with pathologist-annotated nuclei, finding that both cellular and intercellular regions contribute to CNN accuracy. These results demonstrate the power of CNNs not only for histopathological classification, but also for cross-comparisons to reveal conserved spatial behaviors across tumors.