Analysis of fixed and live single cells using optical photothermal infrared with concomitant raman spectroscopy

This paper reports the first use of a novel completely optically based photothermal method (O-PTIR) for obtaining infrared spectra of both fixed and living cells using a quantum cascade laser (QCL) and optical parametric oscillator (OPO) laser as excitation sources, thus enabling all biologically relevant vibrations to be analyzed at submicron spatial resolution. In addition, infrared data acquisition is combined with concomitant Raman spectra from exactly the same excitation location, meaning the full vibrational profile of the cell can be obtained. The pancreatic cancer cell line MIA PaCa-2 and the breast cancer cell line MDA-MB-231 are used as model cells to demonstrate the capabilities of the new instrumentation. These combined modalities can be used to analyze subcellular structures in both fixed and, more importantly, live cells under aqueous conditions. We show that the protein secondary structure and lipid-rich bodies can be identified on the submicron scale

From harmful Microcystis blooms to multi-functional core-double-shell microsphere bio-hydrochar materials

Harmful algal blooms (HABs) induced by eutrophication is becoming a serious global environmental problem affecting public health and aquatic ecological sustainability. A novel strategy for the utilization of biomass from HABs was developed by converting the algae cells into hollow mesoporous biohydrochar microspheres via hydrothermal carbonization method. The hollow microspheres were used as microreactors and carriers for constructing CaO2 core-mesoporous shell-CaO2 shell microspheres (OCRMs). The CaO2 shells could quickly increase dissolved oxygen to extremely anaerobic water in the initial 40 min until the CaO2 shells were consumed. The mesoporous shells continued to act as regulators restricting the release of oxygen from CaO2 cores. The oxygen-release time using OCRMs was 7 times longer than when directly using CaO2. More interestingly, OCRMs presented a high phosphate removal efficiency (95.6%) and prevented the pH of the solution from rising to high levels in comparison with directly adding CaO2 due to the OH− controlled-release effect of OCRMs. The distinct core-doubleshell micro/nanostructure endowed the OCRMs with triple functions for oxygen controlled-release, phosphorus removal and less impact on water pH. The study is to explore the possibility to prepare smarter bio-hydrochar materials by utilizing algal blooms

The influence of temperament and character dimensions on marital satisfaction [Mizaç ve karakter özelliklerinin evlilik doyumu üzerine etkisi]

Objective: The purpose of the present study was to explore the relations between temperament and character dimensions of personality and marital satisfaction. Methods: More specifically, the present study investigated the relationship between the Temperament and Character Inventory and the Dyadic Adjustment Scale in a sample of 55 married couples. Results: The temperament scale reward dependence correlated significantly with the satisfaction, consensus of opinion, and marital adjustment scores. The temperament scale persistence correlated significantly with the attachment score. The temperament scale harm avoidance negatively correlated significantly with the attachment score. The character scale cooperativeness correlated significantly with the satisfaction score. Conclusion: High 'reward dependence' is probably a basic factor in marital satisfaction

Double U slot patch antenna

Due to copyright restrictions, the access to the full text of this article is only available via subscription.In this paper, we aim to design to simulate `double u slot patch antenna'. Our simulation and experimental investigation aimed to understand the behavior of the two U-slots. It can be used in WiMAX compliant communication equipments. As a result of all changes and on the geometry of the antenna, we had -17.38 dB input match and 5.13 dB gain at 5.47 GHz

An Energy-Efficient Multi-Tier Architecture for Fall Detection on Smartphones

Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness. Optimization of the energy consumption of mobile applications, especially those which run 24/7 in the background, is essential for longer use of smartphones. In order to improve energy-efficiency without compromising on the fall detection performance, we propose a novel 3-tier architecture that combines simple thresholding methods with machine learning algorithms. The proposed method is implemented on a mobile application, called uSurvive, for Android smartphones. It runs as a background service and monitors the activities of a person in daily life and automatically sends a notification to the appropriate authorities and/or user defined contacts when it detects a fall. The performance of the proposed method was evaluated in terms of fall detection performance and energy consumption. Real life performance tests conducted on two different models of smartphone demonstrate that our 3-tier architecture with feature reduction could save up to 62% of energy compared to machine learning only solutions. In addition to this energy saving, the hybrid method has a 93% of accuracy, which is superior to thresholding methods and better than machine learning only solutions