11B^{11}B NMR and Relaxation in MgB2MgB_2 Superconductor

$^{11}B$ NMR and nuclear spin-lattice relaxation rate (NSLR) are reported at 7.2 Tesla and 1.4 Tesla in powder samples of the intermetallic compound $MgB_2$ with superconducting transition temperature in zero field $T_c$ = 39.2 K. From the first order quadrupole perturbed NMR specrum a quadrupole coupling frequency of 835 $\pm$ 5 kHz is obtained. The Knight shift is very small and it decreases to zero in the superconducting phase. The NSLR follows a linear law with $T_1T$ = 165 $\pm$ 10 (sec K) . The results in the normal phase indicate a negligible $s$-character of the wave function of the conduction electrons at the Fermi level. Below $T_c$ the NSLR is strongly field dependent indicating the presence of an important contribution related to the density and the thermal motion of flux lines. No coherence peak is observed at the lower field investigated (1.4 T)

Spin dynamics and quantum tunneling in Fe8 nanomagnet and in AFM rings by NMR

In this thesis, our main interest has been to investigate the spin dynamics and quantum tunneling in single molecule magnets (SMMs). For this we have selected two different classes of SMMs: a ferromagnetic total high spin S = 10 cluster Fe8 and antiferromagnetic (AFM) ring-type clusters. For Fe8, our efforts have been devoted to the investigation of the quantum tunneling of magnetization in the very low temperature region. The most remarkable experimental finding in Fe8 is that the nuclear spin-lattice relaxation rate (1/T1) at low temperatures takes place via strong collision mechanism, and thus it allows to measure directly the tunneling rate vs. T and H for the first time. For AFM rings, we have shown that 1/T1 probes the thermal fluctuations of the magnetization in the intermediate temperature range. We find that the fluctuations are dominated by a single characteristic frequency which has a power-law T-dependence indicative of fluctuations due to electron-acoustic phonon interactions

Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models

Harmful algal blooms have negatively affected the aquaculture industry and aquatic ecosystems globally. Remote sensing using satellite sensor systems has been applied on large spatial scales with high temporal resolutions for effective monitoring of harmful algal blooms in coastal waters. However, oceanic color satellites have limitations, such as low spatial resolution of sensor systems and the optical complexity of coastal waters. In this study, bands 1 to 4, obtained from Landsat-8 Operational Land Imager satellite images, were used to evaluate the performance of empirical ocean chlorophyll algorithms using machine learning techniques. Artificial neural network and support vector machine techniques were used to develop an optimal chlorophyll-a model. Four-band, four-band-ratio, and mixed reflectance datasets were tested to select the appropriate input dataset for estimating chlorophyll-a concentration using the two machine learning models. While the ocean chlorophyll algorithm application on Landsat-8 Operational Land Imager showed relatively low performance, the machine learning methods showed improved performance during both the training and validation steps. The artificial neural network and support vector machine demonstrated a similar level of prediction accuracy. Overall, the support vector machine showed slightly superior performance to that of the artificial neural network during the validation step. This study provides practical information about effective monitoring systems for coastal algal blooms

Brief Review of the Role of Glycogen Synthase Kinase-3β in Amyotrophic Lateral Sclerosis

Glycogen synthase kinase-3β (GSK-3β) is known to affect a diverse range of biological functions controlling gene expression, cellular architecture, and apoptosis. GSK-3β has recently been identified as one of the important pathogenic mechanisms in motor neuronal death related to amyotrophic lateral sclerosis (ALS). Therefore, the development of methods to control GSK-3β could be helpful in postponing the symptom progression of ALS. Here we discuss the known roles of GSK-3β in motor neuronal cell death in ALS and the possibility of employing GSK-3β modulators as a new therapeutic strategy

Changes in Economic Activity, Skills and Inequality in the Service Economy

This paper aims to understand how wage inequality is associated with different level and kind of skills in service economy. Our logic of argument, changes in economic activity and skills in the service economy, is suggested following our observation on changes in skill by examining the International Standard of Industrial Classification of all Economies (ISIC) and the International Standard Classification of Occupations (ISCO). Then we examine how the service sector contributes to total income inequality since the 1980s through conducting a MLD (Mean Logarithmic Deviation) based decomposition analysis with four selected countries, Germany, United States, Sweden and Taiwan, using the Luxembourg Income Study (LIS) Database. Overall, the findings suggest that inequality within the service sector contributes most to total inequality. Among the three skill levels in service sector, inequality within the middle skill level contributed most to the total service sector inequality in all four selected countries

Synergistic effects of 6-shogaol and hyperthermia on ACHN renal cancer cells: modulation of ROS and heat shock pro-teins in cancer therapy

IntroductionRenal cancer is known for its aggressive progression and resistance to standard treatments, underscoring the need for novel therapeutic strategies. This study explores the potential of combining 6-shogaol (6-SHO), a bioactive compound derived from ginger (Zingiber officinale), with hyperthermia to enhance anticancer efficacy in ACHN renal cancer cells.MethodsACHN cells were treated with 6-SHO and exposed to hyperthermic conditions. We evaluated the combined effects on apoptosis, cell cycle arrest, and cell proliferation, as well as the role of reactive oxygen species (ROS) and heat shock proteins (HSPs) in mediating these responses.ResultsThe combination of 6-SHO and hyperthermia significantly increased apoptosis, induced G2/M phase cell cycle arrest, and reduced cell proliferation more effectively than either treatment alone. ROS played a critical role in these effects, with modulation of HSPs and heat shock factor 1 (HSF1) further disrupting cancer cell survival mechanisms.DiscussionThese findings highlight the synergistic potential of 6-SHO and hyperthermia as a novel therapeutic approach in renal cancer treatment, supporting the need for further research and clinical evaluation