Physiological and biochemical responses to cadmium exposure in Fucus serratus (Phaeophyceae)

Marine macroalgae can accumulate metals from the surrounding waters. But their responses to metals, especially non-essential metals like cadmium, are not well known and require further investigation. Therefore, the effects of cadmium exposure on the physiology and biochemistry of Fucus serratus collected from metal-contaminated (Restronguet Point) and clean (Bantham Quay) habitats were investigated. Therefore F. serratus demonstrates strong cadmium tolerance to cadmium exposure resulting from the production of antioxidative enzymes, glutathione and phytochelatine.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

DECAY FACTOR WITH EXPERIMENTAL VARIABLES IN TWO CIRCULATING FLUIDIZED BED (CFB) RISERS

The effects of the riser inlet velocity, solid mass flux and particle size on the axial solid holdup profile and decay factor were investigated using two circulating fluidized beds (CFBs) with FCC (Geldart A) particles as the bed materials. Based on the experimental results from the two-CFBs, the axial solid holdup in the two CFBs were compared with the correlations of previous studies. Also, an empirical correlation was proposed for decay factor that exhibited a good agreement with experimental data

Robust Digital Predistortion in Saturation Region of Power Amplifiers

This paper proposes a digital predistortion (DPD) technique to improve linearization performance when the power amplifier (PA) is driven near the saturation region. The PA is a non-linear device in general, and the nonlinear distortion becomes severer as the output power increases. However, the PA’s power efficiency increases as the PA output power increases. The nonlinearity results in spectral regrowth, which leads to adjacent channel interference, and degrades the transmit signal quality. According to our simulation, the linearization performance of DPD is degraded abruptly when the PA operates in its saturation region. To relieve this problem, we propose an improved DPD technique. The proposed technique performs on/off control of the adaptive algorithm based on the magnitude of the transmitted signal. Specifically, the adaptation normally works for small and medium signals while it stops for large signals. Therefore, harmful coefficient updates by saturated signals can be avoided. A computer simulation shows that the proposed method can improve the linearization performance compared with the conventional DPD method in highly driven PAs

A Polynomial Digital Pre-Distortion Technique Based on Iterative Architecture

A digital predistortion (DPD) technique based on an iterative adaptation structure is proposed for linearizing power amplifiers (PAs). To obtain proper DPD parameters, a feedback path that converts the PA’s output to a baseband signal is required, and memory is also needed to store the baseband feedback signals. DPD parameters are usually found by an adaptive algorithm by using the transmitted signals and the corresponding feedback signals. However, for the adaptive algorithm to converge to a reliable solution, long feedback samples are required, which increases hardware complexity and cost. Considering that the convergence time of the adaptive algorithm highly depends on the initial condition, we propose a DPD technique that requires relatively shorter feedback samples. Specifically, the proposed DPD iteratively utilizes the short feedback samples in memory while keeping and using the DPD parameters found at the former iteration as the initial condition at the next iteration. Computer simulation shows that the proposed technique performs better than the conventional technique, as the former requires much shorter feedback memory than the latter

Investigation of the electrochemical properties of a propylene carbonate-derived SEI in an ethylene carbonate-based solution

Herein, we aim to explore and analyze the influence of electrolytes on the creation of a solid electrolyte interface (SEI) within ethylene carbonate (EC) and propylene carbonate (PC)-based electrolyte solutions. Our investigation reveals that despite variations in the charge consumption during SEI formation, a comparable SEI is generated in a high-concentration PC-based electrolyte as observed in an EC-based electrolyte. However, it is noteworthy that the SEI originating from the PC-based electrolyte exhibits a significantly higher resistance to lithium ion transport when compared to the SEI formed from the EC-based electrolyte. Moreover, an increase in the charge transfer resistance at the graphite/electrolyte interface is observed in the PC-based electrolyte. These significant findings strongly imply that the choice of electrolyte solvent is a critical factor that must be taken into consideration in order to achieve the formation of an effective SEI

Inducing Neurite Outgrowth by Mechanical Cell Stretch

Establishing extracellular milieus to stimulate neuronal regeneration is a critical need in neuronal tissue engineering. Many studies have used a soluble factor (such as nerve growth factor or retinoic acid [RA]), micropatterned substrate, and electrical stimulation to induce enhanced neurogenesis in neuronal precursor cells. However, little attention has been paid to mechanical stimulation because neuronal cells are not generally recognized as being mechanically functional, a characteristic of mechanoresponsive cells such as osteoblasts, chondrocytes, and muscle cells. In this study, we performed proof-of-concept experiments to demonstrate the potential anabolic effects of mechanical stretch to enhance cellular neurogenesis. We cultured human neuroblastoma (SH-SY5Y) cells on collagen- coated membrane and applied 10% equibiaxial dynamic stretch (0.25 Hz, 120 min/d for 7 days) using a Flexcell device. Interestingly, cell stretch alone, even without a soluble neurogenic stimulatory factor (RA), produced significantly more and longer neurites than the non–RA-treated, static control. Specific neuronal differentiation and cytoskeletal markers (e.g., microtubule-associated protein 2 and neurofilament light chain) displayed compatible variations with respect to stretch stimulation

Green with Envy at Your Kid: The Effects of Two Different Types of Envy on Purchase Intention

Envy is an emotion that “arises when a person lacks another’s superior quality, achievement, or possession and either desires it or wishes that the other lacked it”. Envy has been classified into two types: benign envy and malicious envy. Benign envy emphasizes the brighter side of envy, which is related to moving-up motivation, while malicious envy represents the destructive side of envy, which motivates people to pull down. The purpose of this study is to address research gap by exploring how envy affects purchase intention among mom through experimental design. Participants were recruited by research company, total one hundred and twenty eight moms with 5-7 year old kids were randomized in each study. Envy is manipulated into two types depending on the deservingness of the situation. Participants were given a short scenario which described a friend who has more capital for raising her children. In purchasing economic capital related products, benign envy condition(M=2.57, SD=1.36) reported greater desire for purchasing products than malicious envy condition(M=2.35, SD=1.21)(F=5.392, p\u3c.05). In purchasing cultural capital related products, benign envy condition(M=4.00, SD=0.78) reported greater desire for purchasing products than malicious envy condition(M=3.98, SD=1.08)(F=.235,n.s). The findings confirm that difference depending on type of envy, and benign envy play an important role for Koreans in purchase intention. In result, envy has no influence in purchasing cultural capital related products. It reveals that in Korea, fashion is used as a strategy of cultural capital, and sense of advanced taste are likely to be interpreted as part of cultural capital

Impulsive Pressurization of Neuronal Cells for Traumatic Brain Injury Study

A novel impulsive cell pressurization experiment has been developed using a Kolsky bar device to investigate blast-induced traumatic brain injury (TBI). We demonstrate in this video article how blast TBI-relevant impulsive pressurization is applied to the neuronal cells in vitro. This is achieved by using well-controlled pressure pulse created by a specialized Kolsky bar device, with complete pressure history within the cell pressurization chamber recorded. Pressurized neuronal cells are inspected immediately after pressurization, or further incubated to examine the long-term effects of impulsive pressurization on neurite/axonal outgrowth, neuronal gene expression, apoptosis, etc. We observed that impulsive pressurization at about 2 MPa induces distinct neurite loss relative to unpressurized cells. Our technique provides a novel method to investigate the molecular/cellular mechanisms of blast TBI, via impulsive pressurization of brain cells at well-controlled pressure magnitude and duration