Optimized Model of Recommendation System for E-Commerce Website

The purpose of this work is to optimize the recommendation system by creating a new model of recommender system with different services in a global e-commerce website. In this model the most effective data sources are integrated to increase the accuracy of recommendations system, which provides the client more intuitive browsing categories interface. The sources used for this model are the user2019;s searching log on the global website, and data referred extracted from search engines, more clicked URLs, highly rated items, and the recommendation algorithms of new users and new items. In additions, user2019;s interests based on locations, and the hot releases items recommended by the admin or shop owner of the e-commerce website according to the website marketing strategy. When the users browse the website, the data sources will automatically combine to incorporate the derived structure and associate items for each category into a new browsing recommendation interface. The advantages of this model will assist the users to discover their real interested items with flexibility and high efficiency; it also provides some solutions for some serious problems and challenges that exist in the current recommendation services. Data mining technology and clustering algorithms have been proposed and applied to perform the idea of this work. ASP.NET is the implementation tool for the application website, Microsoft SQL server is used for database management

Antenna design for solid material characterization

In this project design solid antenna are designed that are suitable for with MUT application with enhanced bandwidth. The proposed antenna was designed in CST studio software. To begin the design, a suitable substrate was chosen for the antenna. In this project, FR-4 is chosen as a substrate for the simulation. This is because the substrate has a good dielectric constant, which is good for to maintain the antenna impedance. The dielectric constant of the substrate is

Solar Power Technologies Growth in the United States, an Integrated Four Pillars Perspective

This paper examines solar power technologies growth in the United States (U.S.) considering the four pillars ofthe energy system: socio-cultural, policy, science & technology, and markets & companies. The study analyzed the growinguse of Photovoltaic panels (PV) technology. The First Solar company was analyzed as a case study to understand the impact ofthe different energy pillars and challenges on PV technology in the U.S. As a general observation, it was found that solarpower in the U.S. is an incredibly fast-growing technology. Solar power does however still only make up a relatively smallfraction of the total power consumption in the U.S. - in 2020 of approximately 1.32%. Considering these two observations,solar power in the U.S. is currently in the middle of being a niche-technology and forming its own energy regime. Thepossibilities for solar power to grow further into a solid regime in the U.S. are supported by developments concerning the fourpillars of the energy system. For the science and technology pillar we will focus on main technological developments andR&D. The markets-companies pillar will be discussed by considering the characteristics of main company First Solar andmarket developments. The social and cultural pillar will be explored by looking at the role of citizens, NGOs, and relevantcultural perspectives. For the policy pillar, we will focus on federal policy, some main policy instruments and implementationproblems. Eventually this study explores two different scenarios of solar energy in the U.S: a business-as-usual scenario and amaximally optimistic scenario. In the first scenario solar power production will increase to about 5% by 2031 of the totalpower demand in the U.S. In the optimistic scenario it will be around 17% of the total power production in the U.S, an increaseby a factor 3.4, depending on developments in the four pillars

Taxonomic revision of the genus Scorpiurus L. (Fabaceae)

The morphological and anatomical characteristics of different parts were utilized to reassess the taxonomic status in Scorpiurus L. species naturally growing in Egypt. There were significant differences among the studied species of plants and hence the results clearly showed two distinct species. Based on the studied morphological and anatomical differences S. muricatus L. is differentiated into three different varieties. These are muricatus L., laevigatus (Sibth. & Sm.) Boiss. and subvillosus (L.) Fiori. An artificial key to both species and varieties are provided

A modelling technique for enterprise agility

Enterprise agility, i .e., the ability of enterprises to respond to changes, is a core imperative for effective change management. It can improve operational efficiency as well as support resource optimization. Yet, it is challenging and a major concern for corporate executives. To facilitate agility, it can be useful to design modeling constructs for representing changes. Such modeling constructs can help stakeholders to represent and better understand change concepts. This research contributes by extending existing enterprise modeling approaches with new modeling constructs for representing concepts of change. These modeling constructs are integrated into a conceptual model. To demonstrate utility, we apply this meta-model to represent a real-world case study and discuss some lessons learned in this process

Virtual Processor based on Hybrid Processor

This proposal presents a robust method through which virtualization can be optimized by the use of a hybrid processor. The discourse acknowledges that virtualization has become a key constituent of machine processing and efficiency through building virtual machine clusters that can be universally integrated to harness the utilization of hardware computing resources. As observed in low-level computing paradigms, the traditional x86 architecture was only capable of classical trapping to deploy virtualization, yielding para-virtualization. In response, virtual processors based on hybrid processors with hardware-assisted paging enables the handling of foreign Memory Management Unit (MMU) operations and translates the corresponding physical address to actual machine-controlled dynamic addresses, improving memory bound executions as well as the overall output of the HVM. This architecture derives a more powerful utility from the compromised architecture whereby the kernel space while the user space resides in the same privilege ring. Even though myriad hybrid architectures exist, the ultimate objective of this proposal is to satisfy one intrinsic feature: incorporate superiority behavior of the hardwareassisted virtualization

A modelling technique for enterprise agility

Enterprise agility, i .e., the ability of enterprises to respond to changes, is a core imperative for effective change management. It can improve operational efficiency as well as support resource optimization. Yet, it is challenging and a major concern for corporate executives. To facilitate agility, it can be useful to design modeling constructs for representing changes. Such modeling constructs can help stakeholders to represent and better understand change concepts. This research contributes by extending existing enterprise modeling approaches with new modeling constructs for representing concepts of change. These modeling constructs are integrated into a conceptual model. To demonstrate utility, we apply this meta-model to represent a real-world case study and discuss some lessons learned in this process

PHYTOCHEMICAL, ANTI-INFLAMMATORY, ANTIOXIDANT, CYTOTOXIC AND ANTIBACTERIAL STUDY OF CAPPARIS CARTILAGINEA DECNEFROM YEMEN

Objective: To investigate phytochemicals and biological activities of Capparis cartilaginea extracts.Methods: The methanolic extracts of leaves, stem and twigs of C. cartilaginea were screened for their phytochemicals. The essential oil of the leaves was hydrodistilled by a Clevenger apparatus and analyzed by gas chromatography-mass spectrometry (GC-MS). The leaves extract of C. cartilaginea was evaluated for its anti-inflammatory effect, using formalin-induced paw edema. The leaves, stem and twig extracts were assessed for their antioxidant activity, using free radical scavenging assay, cytotoxic activity, using 3-[4,5-dimethylthiazole-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay and antibacterial activity, using the microdilution method.Results: All extracts of C. cartilaginea contained alkaloids, carbohydrates, protein, coumarin, phytosterols, bitter principles, phenols and tannins. The essential oil of the leaves was mainly composed of isopropyl isothiocyanate (69.4%), butane,1-isothiocyanate (26.97%) and isobutyl isothiocyanate (3.26%). The leaves extract at doses of 200 and 400 mg/kg, significantly inhibited paw edema at the 3rd h (49.1%, 54.0%, respectively) and this effect was comparable to that of diclofenac (58.87%). The leaves extract showed the highest antioxidant activity with IC50 value of 91.71 µg/ml. The twigs extract exhibited the highest cytotoxic activity against human lung carcinoma (A549) with IC50 of 57.5 µg/ml. The leaves and stem extracts exhibited antibacterial activity against Staphylococcus aureus with minimum inhibitory concentration (MIC) of 5.0 mg/ml. Conclusion: The leaves extract of C. cartilaginea is a potential source of bioactive compounds that could have a role in anti-inflammation. Twigs extract of the C. cartilaginea possesses a potential cytotoxic effect on human lung cell line

A fuzzy-based holistic approach for supply chain risk assessment and aggregation considering risk interdependencies

Producción CientíficaSupply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event interdependencies. An aggregated risk score is proposed to capture the cascading effects of common risk triggers and quantify the aggregated score by risk agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and ambiguity data as input parameters to the model from different domains and scales, according to knowledge and criteria nature. The integration of the balanced scorecard tool improves the analysis and prioritization of mitigation strategies in decision-making, both by risk agent and by strategic objective. A case study of a telecommunication company is presented to illustrate the applicability of the proposed approach