Climate for an organization is somewhat like the personality for a person. One of the most important factors for organizational goal achievement of any type is human resource working in different organizational climate. This research is then aimed at dealing the role of selected institutional climate dimensions in determining academicians’ affective institutional commitment in the case of Debre Berhan and Wollo University during the year of 2016/17. A total of 216 respondents were selected using stratified probability sampling technique from each colleges found in the university.  The researchers used two separate instruments Organizational Climate Questionnaire and Affective Organizational Commitment Questionnaire to measure institutional climate and academicians’ affective institutional commitment respectively. Finally, the responses of the respondents were analyzed using SPSS (version 20.0). The findings of the study revealed that there is significant positive relationship between four dimensions of institutional climate and affective dimension academicians’ institutional commitment, i.e. management and leadership style (β=.235, p<.001), Suitable career ladder (β=.195, p<.05), personnel policies (β=.177, p<.05) and fringe benefit and salary package (β=.154, p<.05). And also it has been proved that institutional climate has a significant role in determining academicians affective organizational commitment (R²=.257) which is significant at p=.001. It was also found that there is no statistically significant difference between the mean score of affective commitment of males and females in the universities. Also there is no statistically significant difference between the mean score of affective commitment of three age groups of academicians in both universities. So, the institution’s leaders should improve the level of employees’ commitment, especially affective commitment dimension, and retain them through facilitating those dimensions of institutional climate along with the rest dimensions in order to properly retain and enhance academicians’ affection towards their institution.

The study aimed to provide relevant information in terms of costs and income so that more people can be enticed to go into business of banana production and processing. This was conducted in the Philippines particularly Luzon island. Value chain and descriptive analyses were used in the data processing.

Research results showed that the chains for the fresh cardava to wet market and to banana chips chains involved six to eight marketing actors namely: the farmer, consolidator, trucker, wholesaler/trader or wholesaler/retailer, processor, distributor, and retailer and the consumer. All activities from the farm to the market were manually done which resulted to more or less five days to deliver the commodity from the farm to the end user.

The processor received the highest gross margin share of 88.59 percent followed by wholesaler/retailer of banana chips getting around 6.25 percent share of gross margin. The farmer, agent/consolidator and wholesaler/retailer received 2.40 percent, 1.49 percent and 1.27 percent, respectively.

In terms of costs, the processor incurred the highest at P4.25 per kg, the farmer at P4.16 per kg and the agent/consolidator at P2.83 per kg, both wholesaler/retailer for the fresh and processed products incurred lower costs than the other actors. Regarding income, chips wholesaler/retailer received the highest at P14.91 per kg; the processor at P6.26 per kg, and the wholesaler/retailer of fresh cardava, the farmer and the agent/consolidator received low income due to the low price of the commodity which was dependent on its quality.

Fertilizer application and use of postharvest tools to improve quality of produce was recommended to receive higher price.

Management is a word that transfers power, then if we say management can bring to lead the life force in every field of the life. Management education is a particular field in teaching at university. It requires a quality teaching criteria that can develop a process where students inner self stimulation and motivation. Teachers must express passion, it’s the key of the full result and goal to the teaching position. Passion is part of the expression for the teaching position above in management education; you must be very strong in this point to teach at university. So it brings to the result that students can become professionals and get realization at the top level job positions

Background:Renal involvement by systemic amyloidosis is one of the most common poor outcomes of the disease, usually manifested as nephrotic range proteinuria and can progress to end-stage renal disease (ESRD) with negative effects on the quality of life and survival of the patients. The objective of this meta-analysis was to determine prognostic factors of poor renal outcome in renal amyloidosis patients. The findings of this study may provide a clearer indication of the possibility of worsening state of renal function, which affect monitoring and therapeutic decisions.

Methods:We searched for studies reporting on the renal outcomes in systemic amyloidosis, and cohort studies related to systemic amyloidosis prognosis and/or outcomes.Pooled mean differences, odds ratios and 95% confidence intervals were computed using random-effect approach in Rev Man5.3®. Clinical, laboratory and renal biopsy prognostic factors were tested for heterogeneity and for overall effect. P-value <0.05 was considered statistically significant.

Results: Our search resulted in 7 eligible articles involving 3016 participants in total. Five prospective cohort studies were included. 861 patients had poor renal functional outcomes which included deteriorating estimated glomerular filtration rate, progressing to chronic kidney disease or end-stage renal disease and ESRD-related mortality. Male gender AL (OR 1.58; 95% CI 0.16,15.52, p=0.70) and AA (OR 1.36; 95% CI 0.09, 20.71, p=0.81), proteinuria (OR 1.03; 95% CI 0.40-1.66), serum creatinine (OR1.23; 95%CI 0.65-1.80), eGFR for AA (OR 0.42; 95% CI 0.24-0.72) and eGFR for AL(OR 0.33; 95% CI 0.12-0.91) were poor prognostic factors renal amyloidosis. There were insufficient data to systematically assess age a poor outcome.

Conclusion:The odds of having poor renal prognosis was increased in the male gender, the presence of proteinuria, elevated serum creatinine and decreased eGFR filtration rate. These results highlight the role of aggressive control of modifiable factors like proteinuria, the role of close medical monitoring of patients, that present with fatigue, edema, hypotension, and nephrotic syndrome. These clinical features are strongly associated with renal amyloidosis. Such patients should have a renal biopsy as soon as possible thus to minimize the risk of irreversible kidney damage that adversely affects the renal outcomes.

The purpose of this study was to identify factors that affected the synergy between scientific research and technology and farmers' indigenous knowledge systems and practices during the 2018 planting season in Sierra Leone. The study clearly demonstrated the importance of understanding indigenous knowledge and identifying areas where policy makers, service providers and researchers may intervene in future agricultural extension, research and development activities, since farmers also make recommendations on areas that need improvement. The results demonstrated that significant proportion of rice farmers (both male and female) across the ten districts (53.8%) cultivated traditional rice varieties as a result of limited access to improved rice varieties. The results further demonstrate that improved techniques need to be integrated with indigenous practices of farmers through their learning fields; back up with the availability, accessibility and affordability of agro inputs, as farmers admitted that they cannot increase rice production by growing it their own ways. The conclusion of this paper is that, despite many changes in agricultural practices, indigenous knowledge has been used by most small-scale farmers in agricultural production, mainly because it has been tested over several generations.

In this paper, characteristics of data obtained from the sensors (used in OpenSense project) are identified in order to build a data-oriented approach. This approach consists of application of Class Outliers: Distance Based (CODB) and Hoeffding tree algorithms. Subsequently, machine learning models were built to detect outliers in a sensor data stream. The approach presented in this paper may be used for developing methodologies for data-oriented outlier detection