5%) had isolated vaginal/perirectal disease. Four (23.5%) patients had in-field failures at 3.7, 11.2, 24.5, and 27.5 months after start of radiation, all treated with definitive dosing of radiation therapy. Patients who were platinum-sensitive prior to radiation had similar median PFS (6.5 vs. 13.4 months, log-rank p = 0.75), but longer OS (71.1 vs 18.8 months, log-rank p = 0.05) than their platinum-resistant counterparts. Excluding patients with low-grade histology or who were treated with palliative radiation, median CFI was 14.2 months (range 4.7 - 33.0). Radiation was well tolerated with 2 (12.0%) experiencing grade 3/4 gastrointestinal/genitourinary toxicities. In conclusion, radiation to treat locally recurrent vaginal/perirectal lesions in heavily pre-treated OC patients is safe and may effectively provide IFC.Sex cord-stromal tumors (SCSTs) are ovarian tumors that generally present with an adnexal mass and signs/symptoms of hormone excess. Gynandroblastoma is a rare subtype of SCST with a combination of female and male sex cord differentiation. These tumors typically present in premenopausal women and are diagnosed at early stages with benign clinical courses. Here, we present a rare case of recurrent gynandroblastoma in a premenopausal woman with a DICER1 germline mutation. The patient was referred to our clinic for new symptoms of hormonal imbalance with a history of ovarian juvenile granulosa cell tumor (JGCT). Evaluation revealed a 5x5cm complex right adnexal mass and rising inhibin B. Patient underwent total abdominal hysterectomy with right salpingo-oophorectomy, omentectomy and right pelvic and para-aortic lymphadenectomy. Pathology showed a right ovarian gynandroblastoma. Somatic biallelic mutations in the RNase IIIb domain of DICER1 were identified; a 23-gene germline panel confirmed a germline DICER1 pathogenic variant. Cascade testing of her children documented that both daughters inherited the pathogenic variant. Testing for DICER1 mutations has important implications for individual and familial tumor risk assessment given what we know about DICER1 mutation and increased childhood cancer risk.We present a CTD dataset of repeated sections across the Vema Channel in the South Atlantic approximately along 31°12' S between longitudes 39°18.0 W and 39°30.0' W. The Vema Channel is a narrow conduit for Antarctic Bottom Water across the Rio Grande Rise. The measurements at CTD stations (Conductivity-Temperature-Depth) across the Vema Channel were started by German scientists in 1991. In 2002, Russian scientists took part in this work and have been establishing stations across this standard section until recently. The data were collected using the Sea-Bird Electronics SBE-19 profiler. The data are presented in tabular format. The data are available at http//dx.doi.org/10.17632/hh4hhn6ny8.1.Building energy simulation (BES) tools fail to capture diversity among occupants' consumption behaviors by using simple and generic occupancy and load profiles, causing uncertainties in simulation predictions. https://www.selleckchem.com/products/Y-27632.html Thus, generating actual occupancy profiles can lead to more accurate and reliable BES predictions. In this article, occupancy profiles for apartment-style student housing are presented from high-resolution monitored occupancy data. A geo-fencing app was designed and installed on the cellphones of 41 volunteer students living in student housing buildings on Clarkson University's campus. Occupants' entering and exiting activities were recorded every minute from February 4 to May 10, 2018. Recorded events were sorted out for each individual by the date and time of day considering 1 for 'entered' events and 0 for 'exited' events to show the probability of presence at each time of day. Accounting for excluded days (234 days with errors and uncertainties), 1,096 daily occupancy observations were retained in the dataset. Two methods were used to analyze the dataset and derive weekday and weekend occupancy schedules. A simple averaging method and K-means clustering techniques were performed [1]. This article provides the input datasets that were used for analysis as well as the outputs of both methods. Occupancy schedules are presented separately for each day of a week, weekdays, and weekend days. To show differences in students' occupancy patterns, occupancy schedules in 7 clusters for weekdays and 3 clusters for weekend days are provided. These datasets can be beneficial for modelers and researchers for either using provided occupancy schedules in BES tools or understanding occupant behaviors in student housing.This dataset supports the analysis outlined in (McGookin et al., 2021) "An innovative approach for estimating energy demand and supply to inform local energy transitions" [1]. It consists of four key elements a range of different energy usage indicators (e.g. the number of employees or cars in a region), national unit energy consumption values, energy supply fuel shares per sector, and an overview of the housing stock. Firstly, the range of socio-economic statistics used as indicators of energy demand are primarily gathered from the Central Statistics Office's (CSO), along with sector specific sources like the Department of Transport or Fisheries. Secondly, the national energy demand and supply in the five sectors of agriculture and fishing, industry, residential, services and transport comes from the national reporting body Sustainable Energy Authority of Ireland. These two datasets are then used to form the national unit consumption figures for a range of indicators in each sector. A national unit consumption value gives an average energy demand per statistical unit, for example MWh/employee or MWh/km driven. This can be used to estimate subnational energy demand in the absence of recorded energy data below the national level. Finally, the Building Energy Rating database (which is reported quarterly by the CSO) provides details on the Irish housing stock and non-domestic building's primary heating fuels.This article provides experimental data on the punching shear behavior of synthetic fiber-reinforced slabs reinforced with glass fiber reinforced polymer (GFRP) bars and cast from self-consolidating concrete (SCC). The data was collected from tests performed on six full-scale specimens centrically loaded until failure as indicated by penetration of the column stub into the slab and achieving a sharp drop in the load carrying capacity. Three different reinforcement bar spacings were used to consider the effect of reinforcement ratio on punching shear resistance. Three of the specimens tested were reinforced by 1.25% of volume of synthetic fiber, and three were control specimens cast from regular SCC. Applied load, central deflections, and bar strain were monitored during the experiment and are provided in the supplementary data. Any future models for analyzing the punching shear behavior and capacity of flat slabs reinforced with GFRP rebars will find this data valuable for model validation, and for establishing suitable safety factors for design.