Optical mesoscopic membrane sensor layouts for water-free and blood-free toxicants

Advances in fabrication of mesoscopic membrane sensors with unique structures and morphologies inside anodic alumina membrane (AAM) nanochannels have led to the development of various methods for detecting, visualizing, adsorbing, filtering, and recovering ultra-trace concentrations of toxic metal ions, such as Hg²⁺ and Pb²⁺, in water and blood. These often “one-pot” screening methods offer advantages over conventional methods in that they do not require sophisticated instruments or laborious sample preparation. In the present study, we fabricated two mesoscopic membrane sensors for naked-eye detection, recognition, filtration, and recovery of Hg²⁺ and Pb²⁺ in biological and environmental samples. These sensors were characterized by the dense immobilization of organic colorants on the mesopore surfaces of silica nanotubes that were constructed using the nanochannels of an AAM as a scaffold. We confirmed that the nanotubes were oriented along the long axis of the AAM nanochannels, open at both ends, and completely and uniformly filled with organic colorants; also, the dense immobilization of the organic colorants did not affect the speed of ion-to-ligand binding events. We used simple, desk-top, flow-through assays to assess the suitability of the developed membrane sensors for detection, removal, and filtration of Hg²⁺ and Pb²⁺ with respect to recyclability and continuous monitoring. Removal of the target ions from biological fluids was assessed by means of flow cytometric analysis. Our results demonstrate the potential of our membrane sensors to be used for preventing the health risks associated with exposure to toxic metal ions in the environment and blood.

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Graded-index fiber lens proposed for ultrasmall probes used in biomedical imaging

The quality and parameters of probing optical beams are extremely important in biomedical imaging systems both for image quality and light coupling efficiency considerations. For example, the shape, size, focal position, and focal range of such beams could have a great impact on the lateral resolution, penetration depth, and signal-to-noise ratio of the image in optical coherence tomography. We present a beam profile characterization of different variations of graded-index (GRIN) fiber lenses, which were recently proposed for biomedical imaging probes. Those GRIN lens modules are made of a single mode fiber and a GRIN fiber lens with or without a fiber spacer between them. We discuss theoretical analysis methods, fabrication techniques, and measured performance compared with theory.     

Possible Crosstalk of the Immune Cells within the Lung and Mediastinal Fat-Associated Lymphoid Clusters in the Acute Inflammatory Lung Asthma-Like Mouse Model

Recently, we clarified the function of mediastinal fat-associated lymphoid clusters (MFALCs) in the progression of several respiratory diseases. However, their role has not yet been identified in the lung asthmatic condition. Hence, we compared the immune cells in lung and MFALCs of C57BL/6N mice on days 3 and 7 following intranasal instillation of either papain (papain group “PG”) or phosphate buffer saline (PBS) (vehicle group “VG”). The PG showed significantly prominent MFALCs, numerous goblet cells (GCs), and higher index ratios of different immune cells (macrophages, natural helper cells (NHC), B- and T-lymphocytes) within the MFALCs and lung than in the VG on both days 3 and 7. Interestingly, a tendency of decreased size of MFALCs and a significant reduction in the number of GCs and immune cells were observed within the MFALCs and lung in the PG on day 7 than on day 3. Furthermore, the quantitative parameters of these immune cells in MFALCs were significantly and positively correlated with the size of MFALCs and immune cells in the lung. This suggested that the possible crosstalk between immune cells within MFALCs and the lung could play a critical role in the progression and recovery of the acute inflammatory lung asthma.     

Correlation between the mechanical properties and microstructural changes of aged Al-5.8% Mg alloy

Mechanical properties of aged Al-5.8% Mg alloy at 423 and 473 K, over the ageing time range 1–35 h, have been investigated to assess the effect of ageing temperature on deformation in the presence of precipitation. The results indicate that the 0.2% yield strength, ultimate tensile strength, flow stress, work hardening exponent and ductility increase with ageing time reaching a maximum value, and then decrease to minimum value, followed by an increase at longer ageing times. The variation in yield, ultimate tensile strength, work hardening exponent of the flow, as well as the hardness at different degrees of deformation, were recorded as functions of experimental variables. Electron microscopic investigations revealed that the strengthening and loss in ductility of the alloy may be attributed to the precipitation of different shapes of MnAl₆, Mg₂Al₃ and ɛ-Mg₂₃Al₃₀, whose size, quantity and morphology depend on the experimental conditions. An attempt has been made to correlate strength, ductility and structural changes at different ageing times. The Brinell hardness increases and the recrystallization temperature decreases with deformation. From parabolic stress-strain relation, the σ-ɛ^1/2 curves could be divided into two linear parts.     

Wind energy and the hydrogen economy—review of the technology

The hydrogen economy is an inevitable energy system of the future where the available energy sources (preferably the renewable ones) will be used to generate hydrogen and electricity as energy carriers, which are capable of satisfying all the energy needs of human civilization. The transition to a hydrogen economy may have already begun. This paper presents a review of hydrogen energy technologies, namely technologies for hydrogen production, storage, distribution, and utilization. Possibilities for utilization of wind energy to generate hydrogen are discussed in parallel with possibilities to use hydrogen to enhance wind power competitiveness.     

Optimizing image spatial filtering on single CPU core

Nowadays, computing becomes a service on cloud computing resources. Users reserve virtual machines to execute their applications with minimum number of processing cores to save money. Optimizing user applications on the level of single core of a physical machine is highly desirable to users to reduce cost, as well as to cloud providers to reduce power consumption. In this paper, we showed how to exploit all the processing resources available in a single CPU physical core to optimize the performance of the 2D spatial filtering operation, a basic kernel in important image and multimedia applications such as image enhancement, edge detection, image segmentation, and image analysis. We proposed a novel computational procedure to restructure the conventional image filtering operation. Then, we demonstrated the merits of combining hand-optimized source-code restructuring, auto-optimized compiler techniques including vectorization, and hand-optimized threading to squeeze the performance of a single CPU core. Our intensive performance evaluations, using Sobel filters, on a variety of image sizes using the Linux Perf tool on a single core of the quad-core Intel Core i7 processor showed that our source-code restructurings with compiler auto-vectorization, using Intel AVX vector instructions, is 1.3X better than the non-restructured auto-vectorized version of the CImg library for computing the image gradient. Moreover, using OpenMP library directives we studied different image partitioning strategies to better exploit the two hardware threads inside a CPU core which boosted performance to 2.6X. Compared with the conventional CImg implementation, we obtained an average enhancement of 5.0X for image sizes ranging from 0.5 MPixel to 8 MPixel. However, comparing our best-optimized code to the conventional non-optimized serial code, without threading, resulted in a significant enhancement of 23X. The overall results showed how significant performance in important image processing applications can be obtained by applying source-code restructurings before employing any automatic compiler optimizations to exploit ILP, DLP and TLP parallelism degrees inside a single core of a multi-core CPU.     

Gas nanosensor design packages based on tungsten oxide: mesocages, hollow spheres, and nanowires

Achieving proper designs of nanosensors for highly sensitive and selective detection of toxic environmental gases is one of the crucial issues in the field of gas sensor technology, because such designs can lead to the enhancement of gas sensor performance and expansion of their applications. Different geometrical designs of porous tungsten oxide nanostructures, including the mesocages, hollow spheres and nanowires, are synthesized for toxic gas sensor applications. Nanosensor designs with small crystalline size, large specific surface area, and superior physical characteristics enable the highly sensitive and selective detection of low concentration (ppm levels), highly toxic NO(2) among CO, as well as volatile organic compound gases, such as acetone, benzene, and ethanol. The experimental results showed that the sensor response was not only dependent on the specific surface area, but also on the geometries and crystal size of materials. Among the designed nanosensors, the nanowires showed the highest sensitivity, followed by the mesocages and hollow spheres-despite the fact that mesocages had the largest specific surface area of 80.9?m(2)?g( - 1), followed by nanowires (69.4?m(2)?g( - 1)), and hollow spheres (6.5?m(2)?g( - 1)). The nanowire sensors had a moderate specific surface area (69.4?m(2)?g( - 1)) but they exhibited the highest sensitivity because of their small diameter (～5?nm), which approximates the Debye length of WO(3). This led to the depletion of the entire volume of the nanowires upon exposure to NO(2), resulting in an enormous increase in sensor resistance.     

Gravity and Magnetic Separation of Polymetallic Pegmatite from Wadi El Sheih Granite,Central Eastern Desert,Egypt

Journal of Mining Science - Occurrence and mineralogy of economically important rare-metal mineralization from pegmatite of Wadi El Sheih granite, Central Eastern Desert of Egypt, was previously...     

DNA Homeostasis and Senescence: Lessons from the Naked Mole Rat

As we age, our bodies accrue damage in the form of DNA mutations. These mutations lead to the generation of sub-optimal proteins, resulting in inadequate cellular homeostasis and senescence. The build-up of senescent cells negatively affects the local cellular micro-environment and drives ageing associated disease, including neurodegeneration. Therefore, limiting the accumulation of DNA damage is essential for healthy neuronal populations. The naked mole rats (NMR) are from eastern Africa and can live for over three decades in chronically hypoxic environments. Despite their long lifespan, NMRs show little to no biological decline, neurodegeneration, or senescence. Here, we discuss molecular pathways and adaptations that NMRs employ to maintain genome integrity and combat the physiological and pathological decline in organismal function.