Feldspar as a low-cost mineral adsorbent based on silica was used to removal a cationic dye, C. I. Basic red 14 (Brilliant red 4G), from aqueous solution. The adsorbent was characterized using scanning electron microscopy (SEM), X-ray Fluorescence (XRF) and Fourier Transform Infra-Red spectroscopy (FTIR). The effect of some parameters such as the amount of adsorbent, contact time, the initial concentration of dye, initial pH and electrolyte on dye removal was investigated. Results showed that dye removal increased by increasing pH; contact time and adsorbent dosage, whereas decreased by increasing the dye concentration. Also, the addition of electrolyte caused a negligible decreasing in dye removal. It took about 1 hour to equilibrium the feldspar with C. I. Basic red 14 and dye removal efficiency was 96%. So, feldspar is a suitable and powerful absorbent for removal of cationic dye from aqueous solutions. Equilibrium isotherms were analyzed by Langmuir, Freundlich, Temkin, Redlich-Peterson, and Dubinin– Radushkevich adsorption models and found that the experimental data were correlated reasonably well with Freundlich isotherm. The adsorption kinetics was studied by using pseudo-first-order, pseudo-second-order, and intra-particle diffusion models and realized the adsorption of C. I. Basic red 14 on feldspar followed the pseudo-second-order equation which indicates to chemical sorption.

The IoT can lead to fundamental developments in health, education, urbanization, agriculture, industry, and other areas. Regarding the variety of different end-user applications and needs, developing a versatile communication network that can support such diverse and heterogeneous applications is necessary to decrease the implementation costs than developing a dedicated communication network for each application. LoRa is a type of LPWAN networks that is supported by LoRa Alliance and due to long-range communication and low power and reasonable cost, IoT has become the main goal of establishing LoRa. LoRaWAN covers the protocol and architecture of the system on top of the LoRa physical layer. The LoRa physical layer uses proprietary CSS modulation. This modulation operates below the noise level and is resistant to fading, interference, and blocking attacks, and is difficult to decode. LoRa operates in the unlicensed frequency band below 1GHz with different frequencies in different geographical areas. LoRa is much more useful for IoT applications than short-range protocols such as WiFi and Bluetooth, despite limitations in data transfer speeds and QoS. Therefore, in this manuscript, considering the importance and advantages of LoRa, this protocol is introduced and its various network aspect, importance, and application are examined. Then, a solution based on the cognitive radio technique is presented for QoS improvement to utilize the LoRa technology as a kind of versatile communication infrastructure for IoT.

The present article aims at exploring the common features between Lyric literature and Romanticism in the poems of Hafiz and Mihai Eminescu, the Romanian poet. It first discusses Romanticism and Lyric literature and then utilizes the analytical-descriptive method to provide a comparative literary analysis in the works of the two poets. A comparative study is carried out through giving evidences of the poets’ concentrating on such romantic features as “love”, “naturalism”, “orientalism”, “alienation and dissatisfaction caused by their contemporary world and situations”, “introversion”, “de-constructivism”, and “innovation in poetry”.In Iranian poetry, “Qazal” is equivalent to the lyrics in Romanticism.Qazal was the major form of poetry in the 7th and 8th lunar-Hijra centuries in Iraqi Style for which Hafiz is a brilliant representative. The poems composed by Eminescu, well-known as the Romanian Shakespeare, from the Eastern Europe in the 19th century, hold all the Romantic features.Mystical analysis of some important symbols in one of Eminescu’s famous poems revealed that his mystical symbolism in lyric poems has been expressed through allegorical short stories. In Hafiz works, however, the mystical symbols are expressed through utilizing expressions and brief allusions that best fit the Persian poetry. All these symbols revolve around the concept of “love”.

This article presents a review of the recent applications of artificial neural networks (ANN) for civil infrastructure including structural system identification, structural health monitoring, structural vibration control, structural design and optimization, prediction applications, construction engineering, and geotechnical engineering. The most common ANN used in structural engineering is the backpropagation neural network followed by recurrent neural networks and radial basis function neural networks. In recent years, newer hybrid techniques have been used in structural engineering by a number of researchers such as the neuro-fuzzy inference system, time-delayed neuro-fuzzy inference system, and wavelet neural networks. Deep machine learning techniques are among the newest techniques to find applications in civil infrastructure systems.