1,213 research outputs found
Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter
Decarbonizing heating in buildings is a key part of climate change mitigation policies, but deep retrofit is progressing slowly, e.g., at a pace of 0.2%/y of the building stock in Europe. By
means of tests in two flats of a multiapartment housing complex recently renovated to very low values of energy needs, this paper explores the role of deep retrofitted buildings in providing energy flexibility services for the occupants/owners/managers and for the energy system. Key to this flexibility increase and capacity savings is the large reduction of energy needs for heating via a high level of external insulation, which allows the thermal capacity of the building mass to act as an energy storage, without the large energy losses presently affecting a large part of the building stock. Due to the limited number of case studies reporting experimental applications in real buildings, this research aims to offer an analysis based on a series of tests and detailed monitoring which show a significant increase in the time interval during which the low-energy-needs building remains in the comfort range, compared to a high-energy-needs building, when active delivery of energy is deactivated
during the heating season. Intermittent renewable energy might hence be stored when available, thus enhancing the ability of the energy system to manage inherent variability of some renewable energy sources and/or increasing the share of the self-consumption of locally generated RES energy. Besides, two unplanned heating power outages which have involved the entire building complex allowed us to verify that deep retrofitted buildings are able to maintain thermally safe indoor conditions under extreme events, such as a power outage, for at least 5 days
1,3 dipolar cycloadditions of azides on enamines: more than 50 years in a “Click”
Localization of hepatocyte growth factor and Its receptor met in endocrine cells and related tumors of the gut and pancreas: an immunohistochemical study
Hepatocyte growth factor (HGF), a stimulator of angiogenesis and cell migration, regulates the growth of a wide variety of cells by binding to its high-affinity receptor met and is involved in the growth and aggressiveness of several tumors. In this study we investigated the expression of HGF and met in normal endocrine cells and related neoplasms of the gut and pancreas to verify their possible role in tumor pathogenesis, growth, and aggressiveness. Normal tissues and 60 different endocrine tumors were immunostained using specific antibodies directed against HGF, met, and various hormones. HGF immunoreactivity (IR) was found in antroduodenal G cells, rectal enterochromaffin (EC) cells, and pancreatic A and B cells, whereas met IR was detected in antral EC and C cells, and in pancreatic B cells; 46 of 60 tumors examined were positive for HGF, and they were mainly represented by ECL-, EC-, and L-cell neoplasms. met IR was identified in 50/60 tumors of various phenotypes. HGF and met coexpression was found in 42/60 cases, most of which were represented by EC-cell tumors. HGF/met coexpression was significantly more frequent in ileocolonic EC-cell tumors, which in the majority of cases were malignant, than in appendiceal EC-cell tumors, which were all benign. Our results demonstrated, for the first time, that HGF and met are specifically distributed in normal gut and pancreatic endocrine cells and, in addition, suggest that HGF and met may be implicated as autocrine/paracrine factors regulating the growth of gastroenteropancreatic endocrine tumors, mainly of ileocolonic EC-cell carcinoid
Mixed mucus-secreting and oncocytic carcinoma of the thyroid - Pathologic, histochemical, immunohistochemical, and ultrastructural study of a case
We report a carcinoma that is, to the best of our knowledge, the first case of a mixed mucus-secreting and oncocytic carcinoma of the thyroid. We also describe the histochemical, immunohistochemical, and ultrastructural features of this tumor. A 59-year-old man complaining of severe bone pain and weight loss underwent clinical and radiologic investigations. The studies revealed a nodule in the left thyroid lobe that was "cold" by (131)I scintiscan and multiple lytic lesions of the skeleton that showed increased uptake by (99m)Tc-Sestamibi scintiscan. Left hemithyroidectomy was performed and the surgical specimen contained a well-circumscribed nodule of 3 cm in the greatest diameter. Light microscopy showed an oncocytic carcinoma with an area of glandular and papillary proliferation of mucin-producing cells. A double histochemical approach (Alcian blue-periodic acid-Schiff and Alcian blue-high-iron diamine) combined with ultrastructural investigation confirmed the presence of true mucus, ruling out the presence of breakdown products of thyroglobulin. Ultrastructural and immunohistochemical studies, together with clinical findings, excluded a possible metastatic origin of the mucin-producing componen
Sampling Methods and Sample Populations in Quantitative Mass Communication Research Studies: A 15-Year Census of Six Journals
This study evaluated the sampling methods and sample populations used in all U.S.-based survey and experimental mass communication studies published between 2000 and 2014 in six major journals (N = 1,173). Most studies used nonprobability samples, and more than half used student samples. Experiments used more nonprobability and student samples than surveys. Funded studies used more probability and nonstudent samples than nonfunded studies. Implications of results pertaining to population validity and interpretations of findings for mass communication research are discussed
UBEM's archetypes improvement via data-driven occupant-related schedules randomly distributed and their impact assessment
In Urban Building Energy Models (UBEMs), buildings are usually modelled via archetypes describing occupants’
behaviour via fixed schedules. This research (i) creates data-driven schedules for electric use and occupancy from
smart meter readings randomly distributed in the model to improve residential archetypes, (ii) assesses the
impact of these schedules on UBEMs’ energy results at different temporal resolutions and spatial scales. The
novel assessment procedure exploits integrated heat maps based on coefficients of variation of the root means
square error (CVRMSE). The outcomes show that differences in energy needs, with randomized schedules, range
based on temporal and spatial aggregation. Yearly, for the entire neighbourhood, heating and cooling energy
needs, and electric uses are estimated -2%, +1%, and +18% compared to the base case. The outputs show that,
when simulations are focused on the entire district, fixed schedules can be enough to describe energy patterns.
However, if the simulation is focused on small groups of buildings (e.g., 5 or fewer), randomising the schedules
can create variability in the model in terms of electric use and occupancy among buildings characterized by the
same archetype. The followed methodology can be exploited also with larger databases and eventually verified
with also other types of data
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