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Scorpions (Arachnida: Scorpions) are one of the medically important oldest arthropods. They have been one of the humans' interests in terms of special morphology, painful stings, mortality, and behavioral attractions for many years. Diagnosis of scorpions is based on morphological characteristics and molecular methods. But, one of the most important and fundamental problems of identifying the Iranian scorpions is the lack of a comprehensive method. Due to the fact that a relatively long time has not passed since the classification of scorpions in Iran and there are no definitive divisions about the genera and species in the country, the current pictorial key was provided to identify the Iranian scorpions. In this study, various methods were used to catch the scorpions. For preparing the pictorial key, different genera of scorpions were collected from urban, rural, plain, and mountain areas in different parts of Iran as well as some archived specimens from the medical arachnid's Museum of Shiraz University of Medical Sciences were used from 2010 to 2020 collection boxes. The key presented in this study was prepared only based on morphological features. It was necessary to remind a few points about this key and its use. Considering the above-mentioned points, this key was provided for 16 genera, 64 species, and 3 families of Iranian scorpions, and the results of other researchers are included in it. The study of various aspects of scorpion life, especially faunistic studies has been recently considered in Iran. Various methods such as molecular methods and composition of scorpion venom can be used for classification, the most common of which are morphological features that have a long history. Therefore, the need to provide a key to detect scorpions in the country has a special priority. [ABSTRACT FROM AUTHOR]

Polyaniline nanocomposite with controllable properties was used to design and fabricate a novel electrochemical immunosensor for the early detection of type 2 diabetes. Insulin receptor antibody is a powerful predictor of type 2 diabetes development in individuals. A systematic study was carried out to investigate the effects of different polyaniline layers and the Nafion layer on the morphological, chemical, and electrochemical properties of nanocomposite immunosensor, especially the stability. The bioengineered Nafion-Au nanoparticles-polyaniline/gold electrode demonstrated outstanding electrocatalytic performance in the detection of insulin receptor antibodies with a high sensitivity (136.21 µA.ng−1.ml.cm−2) in a linear range from 0.001 to 200 ng.ml−1 as well as a low detection limit of 1.827 pg.ml−1, response time within 10 min, remarkable selectivity, and significant stability of 80 days. Therefore, the developed immunosensor is a suitable nanocomposite platform for insulin receptor antibody level determination in human plasma. [ABSTRACT FROM AUTHOR]

Ground motion amplitude, frequency content, and duration are commonly identified as the main features of seismic waves affecting structural demand. Among these parameters, earthquake duration can have a substantial influence on assessment of structural seismic demand. The paper proposes a new empirical model for predicting the significant duration of ground-motion records in Turkey. Significant duration is an important parameter in determining the damage potential of earthquakes and is defined as the time interval between two specific values of Arias intensity. The proposed model is as function of moment magnitude ( M w ), Joyner-Boore distance ( R jb ), time-averaged shear-wave velocity in the top 30 m ( V S 30 ), and fault mechanism ( F m ). In the regression process, a database consisting of 850 records from 408 earthquakes in Turkey is used. According to the physics of the problem, mixed effect regression is employed. Next, besides residual analysis, comparison of the mean values with the other prediction models are performed. The results of this study indicate that the new model is satisfactory while reliable estimates of significant duration could be assessed for the Turkish region. [ABSTRACT FROM AUTHOR]

A gradual degeneration of the striatum and loss of nigral dopamine cells are characteristic of Parkinson's disease. Nowadays, combination therapy for neurodegenerative disease is considered. This study aimed to investigate the effects of melatonin and dopaminergic neurons derived from adipose tissue stem cells (ADSCs) in a rat model of Parkinson's disease. Parkinson's disease was induced in rats using neurotoxin 6-Hydroxydopamine. The treatment was performed using melatonin and dopaminergic neurons transplantation. Subsequently, behavioral tests, western blot analysis for Caspase-3 expression, GSH (Glutathione) content and stereology analysis for the volume and cell number of substantia nigra and striatum were performed. Treatment with melatonin and dopaminergic neuron transplantation increased the number of neurons in substantia nigra and striatum while the number of glial cell and the volume of substantia nigra and striatum did not show significant change between groups. Western blot analysis for caspase 3 indicated the significant differences between groups. The results also indicated the increased level of glutathione (GSH) content in treatment groups. this study showed that combination therapy with melatonin and dopaminergic neurons could greatly protect the neurons, reduce oxidative stress and improve the symptoms of PD. [ABSTRACT FROM AUTHOR]

Epilepsy is a common neurological disorder that significantly affects the quality of life of patients. In this study, we aim to evaluate the effectiveness of dental pulp stem cell (DPSC) transplantation in decreasing inflammation and cell death in brain cells, thus reducing seizure damage. We induced seizures in rats using intraperitoneal injections of pentylenetetrazole (PTZ). In the PTZ + DPSC group, we conducted bilateral hippocampal transplantation of DPSCs in PTZ-lesioned rat models. After 1 month, we performed post-graft analysis and measured some behavioral factors, such as working memory and long-term memory, using a T-maze test and passive avoidance test, respectively. We investigated the immunohistopathology and distribution of astrocyte cells through light microscopy and Sholl analysis. Additionally, we employed the Voronoi tessellation method to estimate the spatial distribution of the cells in the hippocampus. Compared to the control group, we observed a reduction in astrogliosis, astrocyte process length, the number of branches, and intersections distal to the soma in the hippocampus of the PTZ + DPSC group. Further analysis indicated that the grafted DPSCs decreased the expression of caspase-3 in the hippocampus of rats with induced seizures. Moreover, the DPSCs transplant protected hippocampal pyramidal neurons against PTZ toxicity and improved the spatial distribution of the hippocampal neurons. Our findings suggest that DPSCs transplant can be an effective modifier of astrocyte reactivation and inflammatory responses. [ABSTRACT FROM AUTHOR]

The PVC-based heterogeneous type cationic membranes were constructed by incorporation of copper oxide nanoparticles to enhance the antimicrobial and electrochemical behaviors of them in water treatment. The SOM and SEM/EDX indicated uniform structure for the fabricated membranes. Contact-angle results showed improvement of membrane surface hydrophilicity in presence of CuO NPs. Water uptake also changed by incorporation of CuO. According to 3D surface results, composite membranes showed rougher surface in comparison with pristine ones. The potential, t-number and permselectivity enhanced initially up to 1%wt CuO concentration and then declined by further CuO from 1 to 4%wt. All mentioned parameters increased again at 8%wt nanoparticles concentration. Ionic flux promoted for blended membranes up to 2%wt CuO and then declined by growing CuO. Blended membrane containing 0.5%wt CuO with lowest electrical resistance (< 9.6 Ω.cm2) and (> 94%) selectivity showed more appreciate act compared to reported ones. The CuO induced-ion exchange membranes exhibited superior antibacterial effect. [ABSTRACT FROM AUTHOR]

While steer-by-wire (SBW) systems benefit from improved performance and comfort, they require a large number of sensors impacting whole system reliability. In order to address this challenge fault tolerance property against sensor faults has to be improved. Application of redundancy for the sensors is the best solution proposed so far. This paper proposes a novel solution of analytical redundancy based on various position estimation methods for both electrical motor and steering wheel position sensors. Three different estimation techniques including extended programmable cascaded low-pass filter (EPCLPF), stator flux linkage estimator using stator currents, as well as stator flux linkage estimator using stator voltages are proposed for this purpose. The faulty sensors are recognized using a voting technique in which a comparison between the sensors' outputs with the estimated values is made. In this way, the SBW system reliability is highly improved with no additional cost and space. Simulation and experimental results are presented to confirm the presented fault tolerant SBW system capabilities. [ABSTRACT FROM AUTHOR]

Groundwater level observations due to the lack of synoptic water-level measurements are often available with irregular time intervals. The results lead to an inaccurate understanding of the parameters affecting groundwater level changes and their time delays. This paper presents a simple and low-cost approach to interpolate the irregular, periodic intervals of recorded groundwater level data for the Najafabad aquifer located in central Iran. Forty-six monitoring wells with an average of 20 years of data were used for this study. Piecewise cubic Hermite interpolating polynomial (PCHIP), cubic spline, linear, and nearest neighbor are the selected interpolation methods. Cross-validation with leave-one-out technique was also applied to evaluate the accuracy of the methods under three conditions, including low, average, and high groundwater level decline. The analysis proved that (1) PCHIP interpolation showed a high performance in all of the groundwater level decline conditions (0.22 < RMSE < 0.59 and 0.72 < R2 < 0.98). (2) Under slight and without abrupt fluctuations of groundwater level conditions, cubic spline showed a better performance than the linear interpolation (R2 = 0.98, RMSE = 0.49 for cubic spline and R2 = 0.98, RMSE = 0.51 for linear). The selected approach reduces the uncertainty in the study of issues such as changes in groundwater recharge and storage, groundwater flow directions, surface–groundwater interaction, and groundwater modeling. [ABSTRACT FROM AUTHOR]