This paper is designed to highlight the concept of ‘Add me’ and expose the negative consequences of its practice among academic personnel of higher education institutions in Nigeria, with a view to maintaining the purpose and integrity of research and development. The paper is an exploratory survey through extensive review of related literature which at whatever humble a scale, has succeeded in highlighting the importance of research and development, the effects of ‘Add me’ on research and development and the way forward. Fifty (50) academic staff members of AkanuIbiam Federal Polytechnic, Unwana were used as population for the study. Questionnaire was used as instrument for data collection. Descriptive and inferential statistical methods were used to analyze data collected from the research subjects through mean values. Major findings show that the practice of ‘add me’ by many academic personnel of Nigerian higher education institutions have intrepid and negative consequences on the purpose and integrity of research and development. The recommendations drawn from this study is that since ‘publish or perish’ culture has birthed ‘add me’ and other negative research and development practices, it should be reviewed; other responsible academic related activities (such as peer review for grants and publications, mentoring, leadership ability, outreach, teaching and knowledge exchange) should be increasingly considered for promotion and career advancement.

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This work is a review of related researches in LTE with SDR from 2008 to 2017. The review is carried out by analysing the keywords in articles downloaded from web of science using the search topic "LTE signal processing" with a time span from 2008 to 2017. The bibliometric map from the analysis is made of three clusters. The clusters are arranged in such a way that keywords relevant to LTE parameters belong to one cluster, those relevant to steps in processing LTE signal belong to another cluster while the next cluster is made of keywords relevant to LTE related networks and technologies. The red cluster contains keywords which are LTE parameters and steps taken in processing LTE signals. The green cluster contains keywords such as SDR, power amplifier, CMOS and others which are related to LTE systems. The blue cluster keywords are concerned with networks similar to LTE and the processes in which these networks transmit data from one point to the other. This works shows that research in LTE signal processing has been at the increase. It equally reviews the terminologies use in processing LTE signal and many LTE system parameters.

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The tensile properties of Ukam fibre cashew nut shell resin composite were studied for possible structural application in engineering. Basically, the hand lay–up method was employed to manufacture the test samples of the composite by 40: 60 weight ratio and testing the tensile properties such as tensile strength and modulus of elasticity using the instron tensile machine. Consequently, the experiment demonstrated that the Ukam fibre reinforced cashew nut shell resin composite has an ultimate tensile strength of 40.5 Mpa and a Young Modulus of 1GPa. The above results indicate that ukam fibre reinforced cashew nut shell resin composte is suitable for low cost applications in engineering and is a good alternative to artificial glass fibre.

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A well prepared proposal is key to attracting funding by convincing a potential trust fund donor of the viability of any project. In this paper, a template for preparing a fabrication proposal is presented with a case study of a biodigester for the production of biogas for domestic consumption. The proposed steps are numbered 1 to 8 starting with an executive summary of the project to be fabricated. A sample of fabricators’ profile is presented.

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This research was carried out in order to evaluate the impacts of Iyieke and Ehuoma wetland ecosystem resources on household food supply in Afikpo north L.G.A of Ebonyi state due to the problems of the effects of climate change, herdsmen/farmers clash on Iyieke and Ehuoma wetlands ecosystem resources while the objectives include:1. To determine the status of Iyieke and Ehuoma wetlands ecosystem resources from 1986 to 2018 for household food security. 2. To report on the Iyike and Ehuoma wetlands resources for household food security. Data was collected through satellite imageries, secondary and questionnaire means. Image processing was done using the ENVI CLASSIC 5.0 and IDRISI SELVA software (Clark Labs, Worcester, MA, USA).Landsat 5TM, Landsat 8 OLI/TIRS and ETM+ were imported into ENVI CLASSIC 5.0 environment for radiometric corrections while model prediction was performed in IDRISI SELVA 17.0. Image composites was performed using nearinfrared band 4, red-band 3 and green band 2 for both Landsat 5TM and ETM+ while Landsat 8 OLI/TIRS composite was performed using bands 5 ,4,3 of the imagery. This information in combination with obvious spectral signatures was used to identify 15 places where land category persists over time. These places were used to generate ground reference information to perform accuracy assessment for the classified maps. The maximum Likelihood classification algorithm was performed for the image classification of the study area. The 1987 Landsat 5TM, 2002 ETM+ and 2017 Landsat 8 OLI/TIRS imageries were classified into five (5) categories: wetland, cultivation, settlement, water and forest. The overall accuracy assessment (OA) and Kappa Coefficient (K) was determined in GIS environment. Cluster random sampling technique was used in the study. A sample size of 60 households was chosen in each cluster. This gives us a total sample size of 360 household. Change detection and CA-Markov analysis was used to determine the status of Iyieke and Ehuoma wetlands ecosystem resources for household food security. The land use change detection was divided into three conditions; past, current and future time. Past and current conditions were analyzed by using supervised classification and image differencing methods. Meanwhile, the future condition was analyzed by using a Markov chain method based on past and current land uses. Descriptive statistics and Excel for windows software were used including frequencies and percentages respectively. The results thereof indicate that Iyieke and Ehuoma wetland ecosystem is very dynamic in nature. The trend of change in 2037 proper indicates that a general growth performance of all the land use land cover classes as against their trend in 2017-2037. It is highly predicted that wetland class category will increase by 38% against its reduction in 2017-2037 by -0.04%,cultivation class category by 23% against its reduction in 2017-2037 by 0.49%, settlement class category by 16% against its increase in 2017-2037 by1.52%,water class category by 3% against its increase in 2017-2037 by 0.25% and forest class category by 20% against its reduction rate in 2017- 2037 by -1.72%.Socio-Economic characteristic of all respondents in the sampled villages showed a positive impact trends in aid to household food security in Afikpo north L.G.A of Ebonyi State. Above all, the response of all the respondents in the sampled villages of Ndibe/Enohia Nkalu,Ugwuagu, Unwana, Akpoha,Ohaisu and Ibii/Ozziza respectively, on the impact of Iyieke and Ehuoma wetland ecosystem resources to household food security was highly positive.

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