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Organizational learning via gamification for employer brand management

Purpose: This paper aims to deepen our understanding of how serious games could be used for learning in organizations to empower brand performance and image sustaining competitive advantage from a Resource Based View (RBV) perspective and to examine the practical implications of the evolving technologies for employers. Design/methodology/approach: The research methodology is based on a qualitative approach adopting the case study research method (Yin, 2003). Data were collected through fifteen semi-structured interviews (a total of twelve hours) with the involved departments (particularly

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Adsorption as an Emerging Technology and Its New Advances of Eco-Friendly Characteristics: Isotherm, Kinetic, and Thermodynamic Analysis

Water contamination with paints causes a colour agent to the water that negatively affects the environment, organisms, and humans. Different physicochemical processes are applied for wastewater treatment; however, they have many drawbacks such as high cost, generating toxic waste, and non-effective at low concentrations. Adsorption is considered a promising technique for pollutant removal from polluted wastewater. Commercial activated carbon, nano-materials, and natural biological materials are used as adsorbents in adsorption. This chapter focuses on discussing the adsorption process, the

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Mechanical Design

Water Importance and Pollution Sources-Recommended Limits of Pollutants

There are many water resources like rivers, seas, rains, and groundwater, which can be used in different sectors such as agricultural, domestic, and industrial uses. Therefore, different wastewater effluents with different properties are produced depending on their source. Industrial wastewater is one of the most harmful effluents due to the presence of toxic pollutants such as heavy metals, dyes, and other toxic substances. Usually, water is used in different industries for different internal processes, and then the resulting wastewater is discharged without treatment into the water resources

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Agriculture and Crops

Review of activated carbon adsorbent material for textile dyes removal: Preparation, and modelling

Water contamination with colours and heavy metals from textile effluents has harmed the ecology and food chain, with mutagenic and carcinogenic effects on human health. As a result, removing these harmful chemicals is critical for the environment and human health. Various standard physicochemical and biological treatment technologies are used; however, there are still some difficulties. Adsorption is described as a highly successful technology for removing contaminants from textile-effluents wastewater compared to other methods. Several adsorbent materials, including nanomaterials, natural

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications

Applied Techniques for Wastewater Treatment: Physicochemical and Biological Methods

Polluted water is one of the significant challenges facing the world nowadays, especially with the noticed water shortage recorded in the last period. Different treatment methods, physicochemical and biological, were presented for pollutant removal from polluted wastewater. This review discusses the treatment methods starting from the biological part to help reduction of organics, which are solids that appear in the wastewater. After that, the physicochemical techniques will be discussed as a second part of the treatment process to minimize the heavy metal, dyes, and other pollutants

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications

Preparation and Characterization of nZVI, Bimetallic Fe 0-Cu, and Fava Bean Activated Carbon-Supported Bimetallic AC-F e 0-Cu for Anionic Methyl Orange Dye Removal

Nano zero-valent iron (nZVI), bimetallic Nano zero-valent iron-copper (Fe 0- Cu), and fava bean activated carbon-supported with bimetallic Nano zero-valent iron-copper (AC-F e 0-Cu) were prepared and characterized by DLS, FT-IR, XRD, and SEM. The influence of the synthesized adsorbents on the adsorption and removal of soluble anionic methyl orange (M.O) dye was investigated using UV-V spectroscopy. The influence of numerous operational parameters was studied at varied pH (3–9), time intervals (15–180 min), and dye concentrations (25–1000 ppm) to establish the best removal conditions. The
Artificial Intelligence
Energy and Water
Circuit Theory and Applications

Facile sonochemically-assisted bioengineering of titanium dioxide nanoparticles and deciphering their potential in treating breast and lung cancers: biological, molecular, and computational-based investigations

Combining sonochemistry with phytochemistry is a modern trend in the biosynthesis of metallic nanoparticles (NPs), which contributes to the sustainability of chemical processes and minimizes hazardous effects. Herein, titanium dioxide (TiO2) NPs were bioengineered using a novel and facile ultrasound-assisted approach utilizing the greenly extracted essential oil of Ocimum basilicum. FTIR and UV-Vis spectrophotometry were used to confirm the formation of TiO2 NPs. The X-ray diffraction (XRD) analysis showed the crystalline nature of TiO2 NPs. TEM analysis revealed the spherical morphology of

Artificial Intelligence
Energy and Water
Circuit Theory and Applications

Systems Thinking for Planning Sustainable Desert Agriculture Systems with Saline Groundwater Irrigation: A Review

Agricultural land expansion is a solution to address global food security challenges in the context of climate change. However, the sustainability of expansion in arid countries is difficult because of scarce surface water resources, groundwater salinity, and the health of salt-affected soil. Developing expansion and sustainability plans for agriculture requires systems thinking, considering the complex feedback interactions between saline groundwater, salt-affected soil, plant growth, freshwater mixing with saline groundwater, irrigation systems, and the application of soil amendments to

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Agriculture and Crops
Innovation, Entrepreneurship and Competitiveness

Using graph embeddings to improve the performance of embedding based recommender Systems

This paper discusses the use of node2vec graph embeddings to improve the performance of wide and deep recommenders by substituting the embedding layer with graph embeddings to leverage its representational power without major investments in migrating from current recommender systems. First, recommender systems importance in modern day platforms is discussed. Then, the magnitude of investment needed to deploy a recommender system into a production environment is discussed and finally, wide and deep recommenders and their importance in industry is outlined along with our experiments and results

Energy and Water
Innovation, Entrepreneurship and Competitiveness

Unravelling Diabetes-related Pathways Using 16S rRNA Microbiome Data from Human Gut and Nasal Cavity

Type 2 Diabetes (T2D) is a complex chronic illness that affects around 90% of diabetic patients worldwide. Prediabetes is an elementary phase for T2D that is recommended to be early diagnosed to prevent its progression. In this study, we used 16S rRNA data from the gut and nasal cavity of prediabetic and control patients to identify common and exclusive diabetic pathways for each body site. Furthermore, using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) as well as MicobiomeExplorer in the pathway enrichment analysis, we also identified the

Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications