Objective Obsessive attention to healthy eating might paradoxically lead to physical and psychosocial impairments, a potential eating disorder termed orthorexia nervosa (ON). An ongoing debate concerns whether ON should be categorized as an eating disorder, an obsessive–compulsive disorder, or a mental disorder at all. A missing voice in this debate is ON in the elderly, which remains unknown, despite health being a more central issue in everyday life during old age. Similarly missing is ON in East Asia, which remains largely unexplored. Method The current study investigated ON in 313 Chinese elderly (M = 67.90, SD = 7.94) using the Chinese version of the Düsseldorf Orthorexia Scale (C‐DOS). Questionnaires were used to measure traditional eating disorder symptomatology, body image (body dissatisfaction, body appreciation, and functionality appreciation), lifestyle behaviors (fruit and vegetable consumption and time spent on physical activity), and indexes of well‐being (psychological distress, food‐related quality of life, and life satisfaction). Results ON symptoms were positively related to physical activity, fruit and vegetable (F&V) consumption, body appreciation, functionality appreciation, and life satisfaction, but negatively related to body dissatisfaction. Compared with those without ON, the elderly with ON scored higher on positive psychological/lifestyle measures but lower on negative psychological measures. Discussion Contrary to the dominant characterization of ON as a variant of disordered eating, in Chinese elderly ON was associated with several positive lifestyle and psychological measures. Thus, ON in the elderly might not be viewed as a form of disordered eating but can be protective and beneficial.

Sleep quality, diet quality, and physical activity are significant factors influencing physical and mental health. However, few studies have explored their underlying mechanisms, especially among the elderly population in East Asia, where people have food culture and lifestyles distinct from those living in Western countries. Therefore, the current study aimed to explore the relationships among sleep quality, diet quality, physical activity, and physical and mental health in a Chinese elderly sample. Sleep quality, diet quality, physical activity, physical health, and mental health were investigated among 313 Chinese elderly (aged 51–92 years, M = 67.90, SD = 7.94). Mediation analysis was used to examine the empirical model based on previous theories and literature. Close positive relationships were observed between all factors investigated (r = 0.22~0.73, p < 0.001). The relationships between sleep quality and physical and mental health were partially mediated by diet quality and physical activity. In clinical interventions, sleep quality, diet quality, and physical activity can be targeted to improve physical and mental health among the older adult populations.

Many approaches to astronomical data reduction and analysis cannot tolerate missing data: corrupted pixels must first have their values imputed. This paper presents astrofix, a robust and flexible image imputation algorithm based on Gaussian process regression. Through an optimization process, astrofix chooses and applies a different interpolation kernel to each image, using a training set extracted automatically from that image. It naturally handles clusters of bad pixels and image edges and adapts to various instruments and image types. For bright pixels, the mean absolute error of astrofix is several times smaller than that of median replacement and interpolation by a Gaussian kernel. We demonstrate good performance on both imaging and spectroscopic data, including the SBIG 6303 0.4 m telescope and the FLOYDS spectrograph of Las Cumbres Observatory and the CHARIS integral-field spectrograph on the Subaru Telescope.

Brown dwarfs with well-measured masses, ages and luminosities provide direct benchmark tests of substellar formation and evolutionary models. We report the first results from a direct imaging survey aiming to find and characterize substellar companions to nearby accelerating stars with the assistance of the Hipparcos-Gaia Catalog of Accelerations (HGCA). In this paper, we present a joint high-contrast imaging and astrometric discovery of a substellar companion to HD 176535 A, a K3.5V main-sequence star aged approximately $3.59_{-1.15}^{+0.87}$ Gyrs at a distance of 36.99 ± 0.03 pc. In advance of our high-contrast imaging observations, we combined precision HARPS RVs and HGCA astrometry to predict the potential companion’s location and mass. We thereafter acquired two nights of KeckAO/NIRC2 direct imaging observations in the L′ band, which revealed a companion with a contrast of $\Delta L^{\prime }_p = 9.20\pm 0.06$ mag at a projected separation of ≈0${^{\prime\prime}_{.}}$35 (≈13 AU) from the host star. We revise our orbital fit by incorporating our dual-epoch relative astrometry using the open-source MCMC orbit fitting code ${\tt orvara }$. We obtain a dynamical mass of $65.9_{-1.7}^{+2.0} M_{\rm Jup}$ that places HD 176535 B firmly in the brown dwarf regime. HD 176535 B is a new benchmark dwarf useful for constraining the evolutionary and atmospheric models of high-mass brown dwarfs. We found a luminosity of $\rm log(L_{bol}/L_{\odot }) = -5.26\pm 0.07$ and a model-dependent effective temperature of 980 ± 35 K for HD 176535 B. We infer HD 176535 B to be a T dwarf from its mass, age and luminosity. Our dynamical mass suggests that some substellar evolutionary models may be underestimating luminosity for high-mass T dwarfs. Given its angular separation and luminosity, HD 176535 B would make a promising candidate for Aperture Masking Interferometry with JWST and GRAVITY/KPIC, and further spectroscopic characterization with instruments like the CHARIS/SCExAO/Subaru integral field spectrograph.

Abstract:The urban heat island effect (UHI) for inner land regions was investigated using satellite data, ground observations, and simulations with an Single-Layer Urban Canopy Parameterization (SLUCP) coupled into the regional Weather Research Forecasting model (WRF, http://wrf-model.org/ index.php). Specifically, using the satellite-observed surface skin temperatures (T skin ), the intensity of the UHI was first compared for two inland cities (Xi'an City, China, and Oklahoma City (OKC)), which have different city populations and building densities. The larger population density and larger building density in Xi'an lead to a stronger skin-level UHI by 2 • C. However, the ground observed 2 m surface air temperature (T air ) observations showed an urban cooling island effect (UCI) over the downtown region in OKC during the daytime of 19 July 2003, from a DOE field campaign (Joint Urban 2003). To understand this contrast between satellite-based T skin and ground-based T air , a sensitivity study using WRF/SLUCP was analyzed. The model reproduced a UCI in OKC. Furthermore, WRF/Noah/SLUCM simulations were also compared with the Joint Urban 2003 ground observations, including wind speeds, wind directions, and energy fluxes. Although the WRF/SLUCM model failed to simulate these variables accurately, it reproduced the diurnal variations of surface temperatures, wind speeds, wind directions, and energy fluxes reasonably well.