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With the continued digitization of the energy sector, the problem of sunken scholarly data investments and forgone opportunities of harvesting existing data is exacerbating. It compounds the problem that the reproduction of knowledge is incomplete, impeding the transparency of science-based targets for the choices made in the energy transition. The FAIR data guiding principles are widely acknowledged as a way forward, but their operationalization is yet to be agreed upon within different research domains. We comprehensively test FAIR data practices in the low carbon energy research domain. 80 databases representative for data needed to support the low carbon energy transition are screened. Automated and manual tests are used to document the state-of-the art and provide insights on bottlenecks from the human and machine perspectives. We propose action items for overcoming the problem with FAIR energy data and suggest how to prioritize activities.

The modelling of electricity production and demand requires highly specific and comprehensive meteorological data. One challenge is the high temporal frequency as electricity production and demand modelling typically is done with hourly data. On the other side the European electricity market is highly connected, so that a pure country-based modelling is not expedient and at least the whole European Union (EU) area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21 st century. Thus, we have developed the aggregated European wide climate data set SECURES-Met that has a temporal resolution of one hour, covers the whole EU area and other selected European countries, has a reasonable size but considers the high spatial variability.

The energy sector faces constant challenges due to the anticipated green transition and the underlaying change of climate. To be able to assess potential risks during the transition towards renewable energy sources, we present ROBINE-AT, an impact-oriented climatological dataset for Austria, consisting of 41 hazard maps for the Global Warming Levels 1.0 °C (corresponding to 2001–2020), 2.0 °C, 3.0 °C and 4.0 °C. The maps cover potential hazards for Austria’s energy system due to various impacts, including heat and cold stress, wind, extreme precipitation, floods, droughts, humidity, lightning strikes, and wildfires. The data is based on six localized and bias-adjusted climate projections of the CMIP5 and CMIP6 generation. With a diverse set of indicators and a high spatial resolution of 1 km, ROBINE-AT provides an innovative blueprint for assessing climate hazards, targeting regions with complex mountainous terrain such as Austria. Additionally, insights into climate impacts on the energy sector are provided, enabling tailored risk assessments by combining the hazards with custom exposure and vulnerability data.

This study develops a reproducible method for estimating the cost-efficient flexibility potential of a local or regional energy system. Future scenarios that achieve ambitious climate targets and estimate the cost-efficient flexibility potential of demonstration sites were defined. Flexible potentials for energy system assessment are upscaled from the demonstration sites in Eskilstuna (Sweden) and Lower Austria (Austria). As heat pumps (HPs) and district heating (DH) are critical for future heat demand, these sites are representative types of DH networks in terms of size and integration with the electricity grid. In both regions a TIMES model is used for energy system optimization, while for upscaling, Eskilstuna uses the building-stock model ECCABS, whereas Lower Austria uses a mixed integer linear programming optimization model, and the BALMOREL power system model. According to the modeling, HPs will dominate Eskilstuna’s heating sector by 2040. In Lower Austria, DH becomes more prevalent, in combination with wood biomass and HPs. These findings are explained by the postulated technological-economic parameters, energy prices, and CO2 prices. We conclude that future electricity prices will determine future heating systems: either a high share of centralized HPs (if electricity prices are low) or a high share of combined heat-and-power (if electricity prices are high). Large-scale energy storage and biomass can be essential solutions as may deliver increased cost-effectiveness, if available and under certain conditions.

The principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have been put forward to guide optimal sharing of data. The potential for industrial and social innovation is vast. Domain-specific metadata standards are crucial in this context, but are widely missing in the energy sector. This report provides a collaborative response from the low carbon energy research community for addressing the necessity of advancing FAIR metadata standards. We review and test existing metadata practices in the domain based on a series of community workshops. We reflect the perspectives of energy data stakeholders. The outcome is reported in terms of challenges and elicits recommendations for advancing FAIR metadata standards in the energy domain across a broad spectrum of stakeholders.

Purpose This study aimed to investigate the impact of oligometastasis and the M descriptor on survival in small cell lung cancer (SCLC). Methods This multicenter, retrospective study included patients with newly diagnosed extensive-stage SCLC(ES-SCLC) from 2010 to 2020. Subgroups: Group 1: single metastasis in a single organ, Group 2: 2–5 metastases in a single organ, Group 3: 6 or more metastases in a single organ, and Group 4: metastases in two or more organs. This classification was based on the 9th Staging-M descriptor. Three-year progression-free survival (PFS) and overall survival (OS) analyses were conducted. Results The mean age of the 439 patients was 62 ± 10 years, and 89.5% of them were male. The mean PFS for Groups 1, 2, 3, 4 was 10.7 months (95% CI 8.9–12.5), 7.5 months (95% CI 5.6–9.4), 4.3 months (95% CI 2.9–5.7), and 5.4 months (95% CI 4.7–6.1), respectively. PFS in Group 2 was significantly higher. The mean OS for Groups 1, 2, 3, 4 was 13.3 months (95% CI 11.2–15.3), 9.5 months (95% CI 7.1–11.9), 7.1 months (95% CI 4.5–9.7), and 6.9 months (95% CI 6.0–7.9), respectively. OS in Group 1 was significantly higher. OS and PFS in the M1b group were significantly higher than in the M1c1 and M1c2 groups (p < 0.05) with no statistical difference between the M1c1 and M1c2 groups. Conclusion There is no significant difference in survival between the M1c1 and M1c2 groups. In ES-SCLC, the number of metastases may be a more predictive factor for prognosis than the number of metastatic organs.

Objective:We aimed to compare the diagnostic performance of transvaginal sonography (TVS), magnetic resonance imaging (MRI), and intraoperative frozen section in the assessment of myometrial invasion and to evaluate intratumoral blood flow in any myometrial invasion with transvaginal Color Doppler ultrasonography (TV-CDU).Methods:This prospective study included 64 women consecutively diagnosed with endometrial carcinoma. The subjects were evaluated by TVS, MRI, and TV-CDU by 2 radiologists with a special training in gynecology. Intraoperatively, a frozen section was obtained and processed for interpretation by a blinded pathologist. Sensitivity, specificity, negative, and positive predictive values were calculated for each imaging modality and frozen section with regard to assessment of myometrial invasion. The intratumoral blood flow was evaluated by TV-CDU.Results:Transvaginal sonography, MRI, and frozen section showed no statistical significant differences in overall diagnostic performance for the preoperative and intraoperative assessment of any myometrial invasion, although frozen section seemed to be slightly superior to the imaging techniques. The positive rate of intratumoral blood flow was higher in deep myometrial invasion, but statistical significance was not obtained. The mean value of resistance index was significantly lower in the cases with deep myometrial invasion.Conclusions:Transvaginal sonography with concomitant TV-UCD is low-cost, easily performed, and repeated technique for particularly deep myometrial invasion. Because of its high costs and time-consuming, MRI may be recommended in the cases with poor quality of TVS. Because depending solely on imaging methods could lead to insufficient treatment schedules, intraoperative frozen section should also be performed for myometrial assessment.

Objective This study was undertaken to investigate cut-off value of the endometrial thickness by transvaginal ultrasonography (TvUSG), and to detect the accuracy of preoperative Pipelle biopsy in premenopausal women with abnormal vaginal bleeding. Study design This study was included 144 premenopausal women with abnormal bleeding. Their endometrial thickness was measured by TvUSG and then Pipelle endometrial biopsy was performed. Preoperative histopathologic findings of 57 women who were operated were compared with final histolopathologic examination. Results Of the 144 women, 113 (78.4%) had normal and 31 (21.6%) had an abnormal endometrium. The abnormal endometrium was composed of 11.8% hyperplasia (simple + atypical complex), 4.2% endometrial polyp, and 5.5% adenocarcinoma. An optimal sensitivity and specificity (83.6 and 56.4%, respectively) and negative predictive value with 95.6% for detection of abnormal endometrium were obtained with an endometrial thickness of 8 mm. The accuracy rate of preoperative Pipelle biopsy was 94.7% in a total of 57 women. Conclusion An endometrial thickness >8 mm is more likely than that of 8 mm or less to be indicated with endometrial biopsy in premenopausal uterine bleeding. Pipelle endometrial biopsy is an accurate diagnostic procedure for the detection of high-grade endometrial lesions in premenopausal women.

Objectives: Because of the difficulty in confirming childhood tuberculosis, the World Health Organization developed a scale based on clinical parameters. In our study the utility of this scale was evaluated. Materials and methods: Patients whom were admitted to the Dr. Behçet Uz Children Hospital due to the complaints of chronic cough, weight loss and/or close household contact with adult tuberculosis were included. Patients were evaluated in according to the history, physical examination and/or chest radiography, PPD and the results of the cultures obtained from fasting gastric juice/sputum and implanted on Bactec and Lowenstein-Jensen culture medium. Results: Totally, 108 patients were included in this study. According to World Health Organization criteria, 24 cases (22.2%) were classified as suspicious, 80 cases (74.1%) as probable and 4 of them (3.7%) as definite tuberculosis. Lymphodenopathy and atelectasis in chest radiography and in addition lymphodenopathy, bronchiectasis and calcification in thorax computed tomography were more frequently seen in the PPD positive group compared with the PPD negative group (p=0.012, p=0.02). Anti-tuberculosis treatment were not given for twenty four patients who were included in suspicious group and tuberculosis were not seen in any of these patients during their six month follow up period. During the six months follow-up of the probable and definite tuberculosis groups, clinical findings improved in all of the patients who were treated. Conclusion: World Health Organization diagnosis criteria were considered to be useful for the diagnosis of tuberculosis in children.