8 research outputs found
Lymphocytic Mastitis with Fibroadenoma â A Case Report
Diabetic mastopathy is an uncommon fibrous tissue lesion of the breast which is usually seen in patients with longstanding type 1 diabetes mellitus. We report a case of diabetic mastopathy in an insulin dependent type 2 diabetes mellitus patient. 47-year-old postmenopausal woman, presented with two lumps, one firm mobile mass and another, a firm-hard mass in the upper inner quadrant of the left breast. Mammography and ultrasonography came out to be BIRADS III lesion. Fine-needle aspiration cytology [FNAC] was performed showing features of fibroadenoma with fibrocystic change. Histopathological examination and Immunohistochemistry studies revealed it to be fibroadenoma along with lymphocytic mastopathy. Keywords: Fibroadenoma, Lymphocytic mastitis, Mimicker, Diabete
The United States COVID-19 Forecast Hub dataset
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages
Synergistic Role of Electrolyte and Binder for Enhanced Electrochemical Storage for Sodium-Ion Battery
Sodium-ion batteries are promising
futuristic large-scale energy-storage
devices because of the abundance and low cost of sodium. However,
the development and commercialization of the sodium-ion battery solely
depends on the use of high-capacity electrode materials. Among the
various metal oxides, SnO2 has a high theoretical specific
capacity for sodium-ion battery. However, the enormous volume expansion
and low electrical conductivity of SnO2 hinder its capability
to reach the predicted theoretical value. Although different nanostructured
designs of electrode materials like SnO2 nanocomposites
have been studied, the effects of other cell components like electrolyte
and binder on the specific capacity and cyclic stability are yet to
be understood. In the present study, we have investigated the synergistic
effect of electrolyte and binder on the performance enhancement of
SnO2 supported on the intertwined network structure of
reduced graphene oxide partially open multiwalled carbon nanotube
hybrid as anode in sodium-ion battery. Our result shows that sodium
carboxyl methyl cellulose and ethylene carbonate/diethyl carbonate
as the electrolyte solvent offers a high specific capacity of 688
mAh gâ1 and a satisfactory cyclic stability for
500 cycles. This is about 56% enhancement in specific capacity compared
to the use of polyÂ(vinylidene fluoride) binder and propylene carbonate
as the electrolyte solvent. The present study provides a better understanding
of the synergistic role of electrolyte and binder for the development
of metal-oxide-based electrode materials for the advancement of the
commercialization of sodium-ion battery
Cytokines: From Clinical Significance to Quantification
Abstract Cytokines are critical mediators that oversee and regulate immune and inflammatory responses via complex networks and serve as biomarkers for many diseases. Quantification of cytokines has significant value in both clinical medicine and biology as the levels provide insights into physiological and pathological processes and can be used to aid diagnosis and treatment. Cytokines and their clinical significance are introduced from the perspective of their proâ and antiâinflammatory effects. Factors affecting cytokines quantification in biological fluids, native levels in different body fluids, sample processing and storage conditions, sensitivity to freezeâthaw, and soluble cytokine receptors are discussed. In addition, recent advances in in vitro and in vivo assays, biosensors based on different signal outputs and intracellular to extracellular protein expression are summarized. Various quantification platforms for highâsensitivity and reliable measurement of cytokines in different scenarios are discussed, and commercially available cytokine assays are compared. A discussion of challenges in the development and advancement of technologies for cytokine quantification that aim to achieve realâtime multiplex cytokine analysis for pointâofâcare situations applicable for both biomedical research and clinical practice are discussed