The recent (2019 -2022) Corona Virus Disease (technically addressed as COVID-19) presents many developmental dysfunctions across major economies of the world especially among the under developed and developing nations of Africa. Apart from its debilitating effects on the socio-economic life of the citizens which precipitated a �new normal� of social order, governmental efficiency in terms of infrastructural provisions for aiding economic and healthcare delivery, were elastically stretched. This calls to question the public service capacity and delivery mechanisms of most governments in addressing critical emergency cases. Consequently, this study primarily examines the survival measures adopted by Lagos State government in Nigeria to sustain small scale businesses during and post COVID-19 era, and also identifies the sectors with substantial employment creation opportunities for the stated periods; all geared towards ascertaining the role of public administration in good governance delivery. The study makes use of the qualitative methodology, adopting the focused-group-discussion (FGD) technique in order to obtain key information (data) on the state of government post COVID-19 administration of good governance in Lagos. Essentially, a panel of 12 member-staff of the Lagos State Employment Trust Fund (LSETF) was purposively composed and engaged on diverse issues of survival strategies during and post COVID-19 era; the coping mechanisms, and promptness in service rendition. Finding of the study revealed that three distinct measures were adopted by the Lagos State government to sustain small business owners who were adversely affected by the COVID-19, namely: Lagos Economic Acceleration Programme (LEAP), Lagos COVID-19 Action Recovery and Economic Stimulus (Lagos CARES), and Taxpayers Relief. It also identified eight sectors with substantial employment creation opportunities adversely affected by COVID19 as: Education, Technology, Transport & Logistics, Healthcare, Renewable Energy and Agriculture, Hospitality, Tourism, Creative and Entertainment Sectors. Furthermore, the study discovered that eight actionable measures were used to strengthen public administration in delivery of good governance in Lagos State, via: innovation and openness to change, responsiveness, transparency, competency and capacity, accountability, rule of law, ethical conduct and efficiency.The study strongly recommends the adoption of �USAID Good Governance and PublicAdministration Strengthening (GGPAS)�s programme� in order to assist key public and private institutions critical to long-term stability and democratic growth with a view to expanding and improving the quality of service delivery to citizens.
This study carried out an assessment of e-governance impact on public service delivery in Ekiti State, Nigeria. The study relied on qualitative method based on logical deduction and analysis of documents. Findings revealed that revealed that there is an impact of e-governance on public service delivery, three domains of e-governance were identified namely e-administration, e-society and e-citizens/services, the study pointed out three e-governance interaction namely the interaction between government and citizens (G2C), improve inter-agency relationships (G2G), and establish efficient relationship between the government and business enterprises (G2B), findings identified eight components of e-governance namely transparency, accountability, rule of law, participation, effectiveness and efficiency, equitable and inclusiveness, responsiveness and consensus orientation and finally the study shows two approaches for improving e-governance namely agency-centric approach and citizen-centric approach. The study recommends that government should ensure business process-engineering and adequate ICT infrastructure allowing automation to make processes faster and more efficient for citizens. Institutional restructuring, reforms and capacity building also required to provide government services.
α-Amylase is an enzyme that acts as a catalyst for the hydrolysis of alpha-linked polysaccharides into α-anomeric products. The enzyme can be derived from a variety of sources, each with different characteristics. α-Amylase found within the human body serves as the enzyme active in pancreatic juice and salvia. α-Amylase is not only essential in human physiology but has a number of important biotechnological functions in various processing industries. the aim of this study is cloning and expression of α-Amylase gene of Human pancreatic amylase (amy2A)in Escherichia coli.to achieve this aim a gene coding for α-Amylase from NCBI was selected and amplified with specific primers and PCR.PCR product was cloned into a bacterial expression vector pET21-a . The recombinant plasmid was used to transform the bacterial expression strain BL21 and expression products were analyzed with SDS-PAGE, and Immunoblotting. Based on these results, the bacterial expression system successfully expressed α-Amylase.
α-Amylase is an enzyme that acts as a catalyst for the hydrolysis of alpha-linked polysaccharides into α-anomeric products(1). The enzyme can be derived from a variety of sources, each with different characteristics. α-Amylase found within the human body serves as the enzyme active in pancreatic juice and salvia. α-Amylase is not only essential in human physiology but has a number of important biotechnological functions in various processing industries. the aim of this study is cloning and expression of α-Amylase gene of Human pancreatic amylase (amy2A)in Escherichia coli.to achieve this aim a gene coding for α-Amylase from NCBI was selected and amplified with specific primers and PCR.PCR product was cloned into a bacterial expression vector pET21-a . The recombinant plasmid was used to transform the bacterial expression strain BL21 and expression products were analyzed with SDS-PAGE, and Immunoblotting. Based on these results, the bacterial expression system successfully expressed α-Amylase.
Study of clinical biomechanic of injured instrument vertebral column is restricted to qualitative consideration. Recently with helping Finite Element Method studies are done. Quantitative instrument evaluation injured instrument vertebral column have got new shape. At most of the biomechanical studies are done on the evaluation stability of implants and vertebral column (instrument), so for determining any stress distribution, in this research five pieces of posterior spinal implants system evaluated maximum von mises stress with using Finite Element Method and ANSYS software which including: Cotrel Dubousset Horizon, pedicular screw, made of titanium, pedicular screw, made of stainless steel, Cotrel Dubousset Horizon, laminar hook, pedicular hook, device for transvers traction, DTT hook and connecting rod , that all of them were made from titanium , in conditions without vertebra and in all loading conditions similar to biomechanic loading include: axial compression, flexion, lateral bending and axial rotation. In this research, quasi static safety factor of fixation devices determined between 3 to 6, so results of this study show that maximum Von Mises stress, at all loading conditions happen on the neck of the pedicular screws, in the blade of the hook and in the middle of the rod.
Abstract The head is the most vulnerable part of the body during crash situations and is often involved in life-threatening injuries. The main purpose of the present work is to build and validate a numerical model of human head in order to evaluate pressure and stress distributions in bones and brain tissues due to impact. Furthermore, the Head Injury Criterion (HIC) and the recently proposed Head Impact Power (HIP) criterion were evaluated with respect to the relative motion between the skull and the brain. It was found that the influence of impact direction had a substantial effect on the intracranial response. Geometrical characteristics for the finite element model have been extracted from CT and MRI scanner images, while material mechanical characteristics have been taken from literature. The analysis is performed using the program Ansys 3D to evaluate the risk of head injury in impact. The model is validated by comparing the numerical results and the experimental results obtained by Nahum in 1977.
Abstract Blast-induced traumatic brain injury (TBI) is one of the main causes of death or permanent invalidity which can occur unexpectedly in both military and civilian populations. The purpose of this effort is to conduct a combined Eulerian-Lagrangian non-linear dynamics computational analysis of the interaction between a single planar blast wave and a human head in order to assess the extent of intra-cranial shock wave generation and its potential for causing traumatic brain injury. The finite element (FE) modeling is a powerful tool for investigating the physical process producing head trauma, and a well validated model would, thus, be a valuable tool to aid in injury diagnosis and design of protective devices. In this paper, an Ansys three dimensional transient modal dynamic finite element analysis was performed of a simplified brain model surrounded by cerebral spinal fluid and skull. Viscoelastic material parameters of the brain tissue were obtained from open literature. The localized response parameters predicted by the head model will be analyzed and compared between various loading conditions.
Today, context-aware systems are discussed as one of the key subjects in ubiquitous computing systems. In this area, researchers have been trying to find some techniques for context information modeling. So that attaining general and efficient model for managing, storing and retrieving data and contextual information becomes possible. In this regard and in order to achieving this goal, several methods have been proposed in literature. In our research and in this paper, object-based models and ontology-based models are introduced as two most famous models for modeling the context information along with some novel approaches that are based on The two mentioned models Our study introduces the key requirements of effective context-aware model and goes further to benchmark the models in question against those set of requirements.