Identification of Sediment Formation Based on Magnetic Content and Element Composition of Mud Volcano in Sangiran Sediment using VSM and X-Ray Fluorescence

Based on trace geological history and several studies, the Sangiran mud volcano provides insight into the geology and hydrology of the region, aquifer system in the basin, groundwater flow patterns and characteristics, rock lithology, hydrogeology condition, and saltwater trap mapping. Related to these conditions, studies were conducted on the magnetic content and composition of the major oxide compounds in the Sangiran sediments. Sample analysis was based on geochemical methods. The methods consist of frequency dependent magnetic susceptibility and vibrating sample magnetometer (VSM) analysis. Geochemical analyses using x-ray fluorescence (XRF) analysis have been conducted and various elemental grades have been determined. VSM results confirm that the magnetic content of Sangiran sediments is partly dominated by Fe (17.66 percent) contained in hematite (Fe2O3). At the same time, the samples of Sangiran sediment were enriched by Si, Fe, Al, Ca, Cl, Ti, and K according to XRF measurements. The samples exhibited the highest Si and Fe concentrations in samples T1 (Si is 29.48 percent and Fe is 13.66 percent) and T7 (Si is 24.95 percent and Fe is 12.01 percent). Meanwhile, in the T4 sample, the highest concentrations were Si and Ca, 23.45 percent and 13.45 percent, respectively. Retrieved from the magnetic susceptibility measurement, this paper confirm that Fe content is one of the components of volcanic ash in the Sangiran sediment.DOI: 10.17977/um024v8i12023p00

What is the outcome of rheumatic carditis in children with Sydenham's chorea?

We evaluated the echocardiographic features of 69 children diagnosed with Sydenham's chorea at the first attack of acute rheumatic fever. By echocardiography, carditis was detected in 71% of cases and silent carditis was shown in 28.9% of cases at initial presentation. Most patients had mild or moderate valvular regurgitation. Sixty-three cases were followed from 1-10 years. The improvement rate in valvulitis in cases with silent carditis (29.4%) was not different than in cases with clinical carditis (18.5%) (p > 0.05). Persistence of valvular pathologies occurred in 72.2% of cases with carditis in the long-term follow-up (> 2 years). Most patients (88.8%) complied with secondary prophylaxis, so relapse of carditis was exclusively prevented in our patients. Recurrence of chorea was identified in 20.6% of cases and was not associated with clinical or laboratory evidence for streptococcal reinfection. Patients with chorea usually had mild carditis, and carditis showed resolution. Relapse of carditis in our population was exclusively prevented with secondary prophylaxis. Recurrence of chorea was not rare, despite regular treatment with benzathine penicillin

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

Tek molekül tespiti için FREkans MOdüleli Raman Saçılması (FREMORS)

Bu projede amaç “tek molekül tespiti için FREkans MOdüleli Raman Saçılması (FREMORS)” aygıtı üretmektir. Bu aygıtın Raman spektroskopisine dayalı olarak tek molekül tespitine imkan vermesi, yüzey arttırımlı Raman spektroskopisi (SERS) gibi plazmonik arttırım ile yapılacaktır. SERS yöntemiyle elde edilen sinyalin rastlantısal olarak moleküllerin sıcak noktalara gelmesi olasılığına bağlı kalmasından farklı olarak, bahsedilen aygıt ile iyi belirlenmiş nanoboyutta bir bölgeden tek molekül bilgisi alınabilecektir. FREMORS sensor aygıtı; yiyeceklerdeki çok az miktarlarda kontaminantı, hassas bölgelerdeki patlayıcıyı, kan örneklerindeki uyuşturucuları, proteinleri ve antikorları güncel aygıtların erişemeyeceği hassaslıkta tespit etmek için kullanılabilir. Bu aygıtın en önemli özellikleri; benzersiz hassaslık, alınan sonuçtaki kesinlik ve kolay üretim olacaktır

Monolayer Assembly of MultiSpiked Gold Nanoparticles for Surface-Enhanced Raman Spectroscopy-Based Trace Detection of Dyes and Explosives

For sensitive and reproducible surface-enhanced Raman scattering (SERS)-based trace detection, a SERS platform with high concentration of homogeneously distributed hotspots is needed. Herein, we report a facile monolayer assembly of multispiked gold nanoparticles (MSGNPs) of various sizes over a large area. The assembly was achieved simply by tuning the concentration of MSGNPs in a suspension and subsequently drying it on a substrate under ambient conditions. A monolayer assembly for MSGNP sizes ranging from 150 to 640 nm has been demonstrated. The MSGNP assembly showed excellent sensitivity and uniformity of SERS-based trace detection, owing to the presence of high concentration of uniformly distributed interparticle and intraparticle hotspots. In particular, detection of 10 fM of a toxic dye, crystal violet, has been demonstrated. Moreover, ammonium nitrate, which is a commonly used material for homemade explosives, was detected at 1 mu M level. The MSGNP-based SERS platforms have great potential for applications in sensitive and reliable toxin and explosive detection

Düzenli nano yapılarla donatılmış Raman artırım arayüzleri üretilmesi ve artırım kanallarının analizi

Bu projede amaç yüksek artırımlı yüzey artırımlı Raman saçılım (SERS) arayüzleri üretilmesi ve kimyasal SERS artırım mekanizmalarının ayırt edilmeye çalışılmasıdır. Üretim tekniği olarak hassas nano boşluklu geniş alan nano yapı üretimine uygun grubumuzca bir süredir geliştirilmekte olan deşik maske litografisi kullanılacaktır. Güçlü çınlayan nano boşluklu yapılarla donatılmış Raman artırım arayüzleri üretilecektir. Üretilen yüksek artırımlı SERS arayüzleri atomik katman biriktirme yöntemi kullanılarak farklı kimyasal özellikteki nanometre altı dielektirik malzemeler ile kaplanacak böylelikle Raman artırımının sebeplerinden biri olan kimyasal artırım özellikleri değiştirilecektir. Üretilen örnekler üzerinden toplanan verilerdeki Raman şiddeti farkı incelenerek elektro manyetik Raman artırım kanalı kadar iyi anlaşılamayan kimyasal Raman artırım kanalının etkileri deneysel olarak ortaya konulacaktır

Seedless, size and shape controlled synthesis of gold mesoscopic particles and their excellent SERS applications

Development of facile synthesis strategies for complex-shaped gold nanostructures have great significance owing to their prospective applications. Herein, we demonstrate a remarkably simple single-step recipe for the synthesis of micrometer sized gold particles with tailored nanostructured surfaces. We demonstrate that gold micro-particles (GMPs) can be synthesized simply by mixing HAuCl4, cetyltrimethylammonium bromide (CTAB), AgNO3 and ascorbic acid (AA), without the seed particles. This is contrary to the conventional belief that HAuCl4 cannot be completely reduced by AA in the presence of high concentration of CTAB. The surface morphology of GMPs can be tuned by changing the concentration of AA, whereas the size of the GMPs can be controlled by tuning the concentration of CTAB in the reaction medium. The GMPs have shown excellent potential for SERS applications. The simulation results show that each GMP has high concentration of intraparticle hotspots. The finite element simulation shows maximum enhancement factor in excess of 109, while the average experimental enhancement factor can be as high as 4 × 107. The simulation results also indicate that the presence of branches of different lengths enable GMPs to show efficient SERS sensing for multiple excitation sources. Therefore, GMPs have the capability to become universal SERS platforms

Plasmonic light-management interfaces by polyol-synthesized silver nanoparticles for industrial scale silicon solar cells

© 2020 American Chemical Society. All rights reserved.Plasmonic interfaces are used as an alternative and highly effective light management technique for solar cells. Topdown approaches produce well-ordered and carefully designed plasmonic structures for tailor-made light management; however, they are costly, and their fabrication is time-consuming. Thus, their utilization for industrial-scale solar cells is not trivial. It has been shown that dewetting is a cost- and time-effective bottom-up approach for the fabrication of plasmonic interfaces, yet it lacks precise control of the surface coverage for optimum light management. Therefore, new strategies are actively sought. In this work, the spray coating technique is used to deposit plasmonic interfaces with polyol synthesized silver bipyramidal nanocubes onto industrial-scale monocrystalline silicon solar cells. Through a systematic study, the effect of surface coverage on cell performance is investigated, as it is essential to utilize the interface in well-controlled amounts for optimal light management. A relative increase in the photovoltaic conversion efficiency of 3.5-6.4% upon creating localized surface plasmon resonance-based plasmonic interfaces is demonstrated