Settlement rehabilitation of a 35 year old building : case study integrated with analysis and implementation

This paper presents a rehabilitation project concerning the settlement of a 35 year old building. The foundation system of the northwest wing of the building consists of strip footings and slabon-grade. Differential settlement results in significant cracking of the masonry partition walls located on the footing and hence rehabilitation of the footing is required to stabilize the foundation system. Geotechnical and structural investigations are conducted, including site borings and analytical modeling based on one-dimensional consolidation theory that is incorporated into a finite element analysis. The predictive model exhibits that the differential settlement does not cause noticeable distress for the primary structural members, whereas the continued settlement affects use of the building. Site implementation is performed with the pushpile method to terminate the continuous settlement of the foundation

Behavior and Analysis of Cracked Self-Compacted Reinforced Concrete Beams

The objectives of this paper are to compare between the fracture parameters of self compacting concrete (SCC) and normal vibrating concrete (NVC). The fracture behavior of both the plain and reinforced concrete beam specimens under three point bending (3PB) was investigated. It was found that the values of fracture toughness in reinforced concrete beams increased with increasing the notch – depth ratio, increasing the area of steel bars in cross section and with using dolomite as coarse aggregate in the mix. The self compacting concrete beams exhibit good fracture toughness than those of normal concrete at all the used variables. A model of Hillerborg was used to predict the fracture toughness of notched concrete beams

Structural Analysis of URL For Malicious URL Detection Using Machine Learning

Malicious websites are intentionally created websites that aid online criminals in carrying out illicit actions. They commit crimes like installing malware on the victim's computer, stealing private data from the victim's system, and exposing the victim online. Malicious codes can also be found on legitimate websites. Therefore, locating such a website in cyberspace is a difficult operation that demands the utilization of an automated detection tool. Currently, machine learning/deep learning technologies are employed to detect such malicious websites. However, the problem persists since the attack vector is constantly changing. Most research solutions use a limited number of URL lexical features, DNS information, global ranking information, and webpage content features. Combining several derived features involves computation time and security risk. Additionally, the dataset's minimal features don't maximize its potential. This paper exclusively uses URLs to address this problem and blends linguistic and vectorized URL features. Complete potential of the URL is utilized through vectorization. Six machine learning algorithms are examined. The results indicate that the proposed approach performs better for the count vectorizer with random forest algorith

Metal corrosion inhibition by triazoles : A review

Metal corrosion and the prospects of inhibiting this process have received much interest from society and scientific research. The annual global cost of corrosion is $2.5 trillion, equivalent to roughly 3.4% of the world's gross domestic product. Implementing corrosion prevention best practices could result in global savings of 15-35% of that cost. Numerous studies were documented and dedicated on the triazole nucleus based compounds as fascinating corrosion inhibitors of various metals in hostile media. Their unique electronic structure possessing conjugated pi and unshared pairs of electrons on the nitrogen atoms facilitates their adsorption on metal surfaces. Thus, physical and chemical interactions between the active centers of triazoles and d-orbitals of metallic materials occur to form a film on the surface. The nature of inhibitor activity is disclosed through polarization studies (cathodic, anodic or mixed-type). The range of various substituents on the triazole ring offers a vast array of inhibitory effects. temperature and inhibitor concentration effects must also be regarded when evaluating the corrosion activation and adsorption parameters supported further by the quantum chemical parameters such as DFT and molecular dynamics simulations. In this review, we looked through several instances of the use of distinct substituted triazole nucleus based compounds as significant corrosion inhibitors for different metals in various aggressive media.Peer reviewe

Role of <i>Bifidobacterium bifidum</i> and plant food extracts in improving microflora and biochemical and cytogenetic parameters in adjuvant arthritis.

The aim of the present research was to discover plant food extracts and probiotics that may have bioactivity towards chronic inflammation. Three plant food extract mixtures expected to be rich in phenolic compounds, carotenoids and tocopherols were prepared. The anti-inflammatory activity of the different mixtures as well as probiotic bacteria (<i>Bifidobacterium bifidum</i>) were evaluated in adjuvant arthritis in rats. The anti-inflammatory effect, mechanism of action and safety of the three mixtures and <i>Bifidobacterium bifidum</i> were studied by measuring the size of inflammation and the determination of inflammatory and oxidative stress biomarkers, colonic bacteria profile and specific cytogenetic parameters. The contents of tocopherols, β-carotene and phenolic compounds in the mixtures were determined. The results show that the tested mixtures and <i>Bifidobacterium bifidum</i> possess promising anti-inflammatory effects. The mechanism of action seems to involve a reduction in oxidative stress and inflammatory biomarkers and an effect on colonic microflora. Genotoxicity and DNA fragmentation induced by adjuvant arthritis were prevented after supplementation with the tested mixtures.<br><br>El objetivo de la presente investigación fue encontrar extractos de alimentos vegetales y probióticos que puedan tener bioactividad hacía la inflamación crónica. Mezclas de tres extractos de alimentos vegetales conocidos por su riqueza en compuestos fenólicos, carotenoides y tocoferoles han sido preparadas. La actividad anti-inflamatoria de las diferentes mezclas y de bacterias probióticas (<i>Bifidobacterium bifidum</i>) fue evaluada en artritis adyuvante en ratas. El efecto anti-inflamatorio, mecanismo de acción y salubridad de las tres mezclas y de <i>Bifidobacterium bifidum</i> ha sido estudiado mediante la medida del tamaño de la inflamación y la determinación de biomarcadores de inflamación y estrés oxidativo, del perfil de bacterias del colón y de parámetros citogenéticos específicos. El contenido de tocoferoles, β-caroteno y compuestos fenólicos en las mezclas fue determinado. Los resultados muestran que las mezclas y los <i>Bifidobacterium bifidum</i> poseen un prometedor efecto anti-inflamatorio. El mecanismo de acción parece involucrar una reducción de los biomarcadores inflamatorios y del estrés oxidativo y tiene un efecto sobre la microflora del colón. La fragmentación del DNA y la genotoxicidad inducida por la artritis adjuvante fue prevenida con la suplementación de las mezclas ensayadas

Design a Combined Machine for Seedbed Preparation

Soil preparation is a very important part of the grain production process as it is necessary to maximize the possible yield. The mechanical soil preparation assists better water and air circulation and fertilizer dissolving in soils, which can increase the grain yield. The aim of this investigation was to design a new combined machine for seedbed preparation in one trip and assesses its effect on some soil physical properties and crop yield. Field experiments were carried out on clay loam, three diverse tillage methods were conducted under the same conditions of soil moisture content, operating speed and plowing depth. The tillage methods were: new combined (NCM), traditional method (TM) and no tillage method (NT). Results Clarified that the new combined machine achieved better values of the soil physical properties and increased onion yield compared to the other tillage methods. The (NCM) decreasing soil bulk density by 19% based on (NT) method and 12% based on (TM). It also increasing soil total porosity by 35.16% based on (NT) method and 8% based on (TM). The (NCM) maximizing crop yield by 63.5% and 48.2% based on crop yield in (NT) and (TM) respectively. The obtained results recommended using NCM in seedbed preparation for onion crop which planted in clay loam soil under the studied conditions. 

Tranexamic acid-loaded mesoporous silica microspheres as a hemostatic material

Bleeding management is considered essential for saving life both in the military and civilian field. There is still a need to develop topical hemostats that can stop bleeding and be used easily in the trauma sites. The aim of this work is to develop a hemostat based on mesoporous silica particles with large pores for bleeding control. Mesoporous silica microspheres (MSM) with particle size of 1.5 − 5 µm and pores diameter of 25 nm have been successfully synthesized and, for the first time, loaded with tranexamic acid (TXA) with a content of 4.7%w/w. The hemostatic activity of both the pure material and TXA-loaded material (TXA@MSM) was investigated. It was found that the blood clotting time was significantly shortened by both systems with respect to control. A hemolysis assay was performed to evaluate the hemolytic activity of MSM, and the result indicated that the material was blood compatible. A preliminary TXA in vitro release test was performed, showing the complete release of TXA from the carrier within one hour. Considering the above results, TXA@MSM can be considered a promising material for the development of new hemostats