http://ijaems.com/ Open Access international Journal to publish research paper en-us December 2018 Democratic rule is generally acclaimed as a better form of governance, but its operation does not appear to come cheap. This is especially so in Nigeria where new democratic dispensations are heralded by expensive electioneering campaigns. The funds for these campaigns are sourced from willing donors or through subtle coercion. Corporate organizations are easy prey to politicians. This paper is provoked by the frequency and blatancy with which corporate organizations in Nigeria donate to political parties and for political purposes without any sanctions despite the unambiguous prohibition in S.38 (2) of the Companies and Allied Matters Act (CAMA). This exposes the inability of the provision to halt or reduce this practice to the barest minimum and also reveals the unpopularity of the provision. The paper argued that it is not possible to completely extricate organizations from the political dynamics in their host committees and proffered some mitigating factors which will make the provision more acceptable to the people and more respected. The paper discovered normative reasons why the prohibition in S.38 (2) of CAMA is largely ignored.It therefore recommended wide ranging amendments to the provisions so as to enhance compliance, improve its enforcement strategies, reflect present day realities and align it with international best practices. http://ijaems.com/detail/nigerian-companies-and-the-prohibition-on-political-donations-a-paradigmatic-shift-as-a-panacea-for-compliance/ Dr. Mokutima Ekpo, Dr. Eni Alobo http://ijaems.com/upload_images/issue_files/1-IJAEMS-NOV-2018-11-NigerianCompanies.pdf The venture suggests an Adhoc technique of MRI brain image classification and image segmentation tactic. It is a programmed structure for phase classification using learning mechanism and to sense the Brain Tumor through spatial fuzzy clustering methods for bio medical applications. Automated classification and recognition of tumors in diverse MRI images is enthused for the high precision when dealing with human life. Our proposal employs a segmentation technique, Spatial Fuzzy Clustering Algorithm, for segmenting MRI images to diagnose the Brain Tumor in its earlier phase for scrutinizing the anatomical makeup. The Artificial Neural Network (ANN) will be exploited to categorize the pretentious tumor part in the brain. Dual Tree-CWT decomposition scheme is utilized for texture scrutiny of an image. Probabilistic Neural Network (PNN)-Radial Basis Function (RBF) will be engaged to execute an automated Brain Tumor classification. The preprocessing steps were operated in two phases: feature mining by means of classification via PNN-RBF network. The functioning of the classifier was assessed with the training performance and classification accuracies. http://ijaems.com/detail/dual-tree-complex-wavelet-transform-probabilistic-neural-network-and-fuzzy-clustering-based-on-medical-images-classification-a-study/ Rajesh Sharma R, Akey Sungheetha http://ijaems.com/upload_images/issue_files/2-IJAEMS-NOV-2018-12-DualTreeComplex.pdf This study was conducted to determine and compare the work motivation and job satisfaction of the employees before and after the cooperative reorganized sometime in 2015. Using descriptive comparative research design with survey questionnaire as data gathering instrument, the study involved 70 purposively chosen respondents from the said cooperative found out that motivation and job satisfaction levels of the respondents significantly increased after the reorganization. The study recommends that the current management continue striving to keep the level high. http://ijaems.com/detail/work-motivation-and-job-satisfaction-of-employees-before-and-after-company-reorganization-a-case-of-an-electric-cooperative-in-the-philippines/ April Joy Sevilla Bautista, Felipe E. Balaria http://ijaems.com/upload_images/issue_files/3-IJAEMS-DEC-2018-1-WorkMotivation.pdf Blood is a perishable product with uncertainties in both supply and demand and blood stock management is therefore a judicious balance between shortage and wastage.Blood service operations are a key component of the healthcare system. Requirement of blood is increasing gradually due to accidents, surgeries etc. Blood transfusion play an important role in healthcare. The intention of Blood Bank Supply Chain is to demand estimate, inventory management and distribute adequate blood.Internet of Things (IoT) has rehabilitated the traditional e-healthcare system.Big data analytics refers to the process of collecting, organizing and analyzing large sets of data ("big data") to discover patterns and other useful information in a blood bank system. -Big DataAnalyticsandMachine Learning aretwo important areas ofdatascience. A key benefit of Machine Learning is the analysis and learning of massive amount so fun supervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. With advance research in health sector, there is variety of perishable data available in health care especially in the Blood bank domain. This paper provides review and importance big data technologies and IoT paradigms used in health care sector. http://ijaems.com/detail/machine-learning-and-big-data-analytics-in-iot-based-blood-bank-supply-chain-management-system/ J. Arul Valan, Dr. E. Babu Raj http://ijaems.com/upload_images/issue_files/4-IJAEMS-JAN-2019-17-MachineLearning.pdf