3,3′-Dinitro­bis­phenol A

The title compound [systematic name: 2,2′-dinitro-4,4′-(propane-2,2-di­yl)diphenol], C15H14N2O6, crystallizes with two mol­ecules in the asymmetric unit. Both have a trans conformation for their OH groups, and in each, the two aromatic rings are nearly orthogonal, with dihedral angles of 88.30 (3) and 89.62 (2)°. The nitro groups are nearly in the planes of their attached benzene rings, with C—C—N—O torsion angles in the range 1.21 (17)–4.06 (17)°, and they each accept an intra­molecular O—H⋯O hydrogen bond from their adjacent OH groups. One of the OH groups also forms a weak inter­molecular O—H⋯O hydrogen bond

Electric Vehicle Infrastructure Decision Support System

Thesis (Ph.D.)--University of Washington, 2021Electric vehicles (EVs) need DC fast-charging stations (DCFC) for long-distance trips. DCFCs are costly investments and so charging station companies want to install them in locations where they expect high utilization. Further, government agencies are usually interested in ensuring that DCFCs are available on all roads and adequately spaced so that residents do not feel anxious about EV ownership. DCFC deployment therefore must balance the private and public objectives. This thesis presents a framework, ChargEVal, for simulating charging station deployment scenarios using agent-based modeling (ABM). The ABM utilizes behavioral models for simulating vehicle choice for the trip and charging choice during a trip. ChargEVal supports multiple users to submit multiple simulations simultaneously. ChargEVal also has a dedicated results viewer for viewing the simulation summary statistics and agent state values facilitating detailed insight and simulation comparison. Results from a few sample runs, model verification, and sensitivity analysis are shown. We also answer the question of whether it is more cost-effective to create a new charging station vs upgrading an existing station with more plugs. While the current implementation of ChargEVal is specific to the state of WA, USA; the underlying framework is generic enough to be applied to any geography at any scale

Utility of IOLMaster 700 Swept-Source Optical Coherence Tomography in Detecting Macular Disease for Preoperative Cataract Surgery Patients

PurposeTo assess the efficacy of IOLMaster 700 (IOLM) biometer swept-source optical coherence tomography (SS-OCT) in detecting macular pathology before cataract surgery and to compare IOLM SS-OCT characteristics of foveal pathology with a widely used spectral-domain OCT (SD-OCT) system.Patients and methodsRetrospective analysis of 1156 consecutive eyes with IOLMaster 700 SS-OCT undergoing cataract surgery from January to June 2017 was performed. Approximately a third of these eyes (327 eyes) also had a SD-OCT scan performed previously. A single reviewer assessed each SS-OCT scan and identified them as "normal" or "abnormal." SS-OCT sensitivity and specificity in identifying foveal pathology was assessed using findings on Spectralis SD-OCT scans as the gold standard.ResultsOf 327 eyes with both IOLM SS-OCT and Spectralis SD-OCT scans, 121 eyes (37.0%) had abnormal SS-OCT scans. Of these 121 eyes, SD-OCT scans confirmed pathology in 104 eyes (86.0%). Of the remaining 206 eyes graded to have normal SS-OCT scans, 84 eyes (40.8%) had normal SD-OCT scans, and 122 eyes (59.2%) had pathologic findings on SD-OCT scans. For each pathologic condition, subtle but definitive differences existed in the appearance of the IOLM SS-OCT and SD-OCT images.ConclusionUsing a normal or abnormal Spectralis SD-OCT scan as confirmation of absence or presence of foveal pathology respectively, we found a high positive predictive value (86.0%) of an abnormal IOLM SS-OCT scan and a high specificity (83.2%) but low sensitivity (46.0%) and negative predictive value (40.8%) of a normal-appearing SS-OCT scan. These results suggest that an abnormal IOLM SS-OCT scan in an eye without known pathology is a strong indicator of an abnormal macula and should prompt further evaluation of the retina to identify pathology prior to cataract surgery. Importantly, IOLM SS-OCT scans do not detect all macular pathology and cannot be used as a screening test for identifying macular pathology

Ocular Findings Aid in Diagnosis of West Nile Virus

INTRODUCTION: West Nile virus disease, which is endemic to the United States, is a rarely reported systemic infection that can be difficult to diagnose. Chorioretinitis is an uncommon manifestation of West Nile virus but has pathognomonic ocular findings that can aid in diagnosis. CASE PRESENTATION: A 66-year-old man presented with acute onset fever, chills, and dyspnea. He underwent an extensive but nondiagnostic workup during hospitalization. New visual complaints prompted ophthalmology consultation. Funduscopic examination showed macular hemorrhages and midperipheral chorioretinal lesions. Fluorescein angiography revealed target-like lesions in a radial distribution, which is pathognomonic for West Nile virus chorioretinitis. Serology confirmed the diagnosis of West Nile virus disease. Systemic and ocular symptoms improved with supportive care. DISCUSSION: West Nile virus disease has many nonspecific manifestations. History of recent mosquito exposure is not always readily elicited. In patients with visual symptoms, eye examination can help in its diagnosis. CONCLUSIONS: West Nile virus should be considered in patients with acute febrile or neurological illness during mosquito season