A computer simulated feeding program proposed by the optimum feeding rate trials in olive flounder, Paralichthys olivaceus, at the optimum temperature

Okorie Eme Okorie 부경대학교 2010 국내박사

A computer simulated feeding program was proposed by eleven feeding trials to determine the optimum feeding rates for olive flounder, Paralichthys olivaceus, fed extruded pellets at the optimum temperature. The entire trials were grouped into four growth stages, namely the first stage of juvenile (5 and 9 g), the second stage of juvenile (20, 30, 40 and 50 g), growing (97, 240 and 317 g) and sub-adult (384 and 525 g) stages with 2, 4, 3 and 2 feeding trials, respectively. In the first set of experiments, the optimum feeding rates for the first stage of juvenile olive flounder, Paralichthys olivaceus, weighing 5 g (mean±SD) and 9 g were 4.83% and 4.52% body weight (BW)/day, respectively. In the second set, the optimum feeding rates for the second stage of juvenile olive flounder, Paralichthys olivaceus, weighing 20 g, 30 g, 40 g and 50 g were 3.52, 3.19, 3.02 and 2.38% BW/day, respectively. The third series of experiments showed the optimum feeding rates for growing olive flounder, Paralichthys olivaceus, weighing 97 g, 240 g and 317 g to be 2.23, 1.09 and 0.99% BW/day, respectively. In the last experiments, the optimum feeding rates in sub-adult olive flounder, Paralichthys olivaceus, weighing 384 g and 525 g were shown to be 0.74 and 0.70% BW/day, respectively. The optimum feeding rates determined in these feeding trials were used to develop a computer simulated daily feeding program for olive flounder, Paralichthys olivaceus, by weight. This program was run using some hypothetical values for fish weight and number of fish, and selecting some preset temperatures. The output showed the daily feed allowance in terms of feeding rate and actual weight of feed to be fed.

Evaluation of the optimum dietary protein to energy ratio in Japanese eel, Anguilla japonica

오코리 오코리 옴므 Pukyong National University 2005 국내석사

Living with oil: Pollution and politics of loss and plunder in postcolonial Nigeria

Okorie, Victor O The University of Wisconsin - Madison 2013 해외박사(DDOD)

소속기관이 구독 중이 아닌 경우 오후 4시부터 익일 오전 9시까지 원문보기가 가능합니다.

The experiences and responses of individuals living in mineral enclaves command a lot of scholarly attention. Such attention is evident in the Niger Delta of Nigeria where neoliberal oil exploration has gone on for the past five decades. Yet missing in the delta narratives is the representation of losses experienced by ordinary people that gets beyond totalizing economistic perspectives to address the other ways of living and giving meaning to living that animate ordinary people's social and material landscapes. Also conspicuously absent in the literature is the voice articulating individually informed non-violent mobilization against the interests of both multinational oil corporations and the Nigerian government. This dissertation, therefore, seeks to fill these lacunae. Through the lens of an anthropology of loss, it analyzes the impacts of unregulated petroleum activities in the everyday lifeworlds of ordinary people living with oil in the delta region, and thereby suggests other ways of portraying both the micro and macro impacts of global capitalism in the lived experiences of the general public. The issue here is not to transform losses experienced by ordinary people into the mediating language of money, but to create other ways of thinking about loss itself, alternative ways of conceptualizing value that may be alive not just in the delta region but in other mineral zones. The dissertation also examines nonviolent responses of Ogoni peasants to pollution caused by Shell Petroleum Development Company and to policies enacted by the Nigerian government. Based on my ethnographic findings I argue that natural resources, economy, and culture are wholly integrated: Losses experienced by ordinary people in Ogale Community as neoliberal oil exploration polluted potable water while brutal violence of market logic filtered through social relationships embedded in water networks cannot be captured by the new cost of water---in monetary terms. What is lost is a set of communal practices around water that brought people together; what has eroded as the local wells turn black has been a set of social relations of reciprocity, trust, and care for others that were enabled by the fact that water was part of the commons and had more than monetary value. Moreover, I identify Ogoni peasants' non-violent responses to the twin problems of pollution and the government policies. These include alteration of farming practices and commodification of rituals' knowledge and power. I also argue that the peasants' deployment of these practices in their struggle against neoliberal oil exploration has followed neither a purely capitalist logic nor an anti-market logic: Ogoni rituals and farming practices have become an unseen yet active companion of market and moral cosmologies, speaking in their idioms as well as engaging with them. In response to the three-point tragedy of pollution, policies, and pipelines and by way of strategic and unorthodox elaborations, Ogoni peasants articulate material and immaterial values within an ethos of the world of ancestors. This approach is both a rational strategy for survival as well as a symbolic action with cultural meanings. It guarantees Ogoni's access to land which is indispensable in the peasant economy. It also preserves grave and shrine, the basis of Ogoni's spirituality, and thus indicates the interconnectivity between culture and economy in the region.

(The) effectiveness of foreign aid on economic growth and corruption levels in Sub-Saharan Africa

Okorie, Marcel Hankuk University of Foreign Studies. Graduate Sch 2017 국내석사

The Effectiveness of Foreign Aid on Economic Growth and Corruption Levels in Sub-Saharan Africa This study examines the effectiveness of foreign aid in promoting economic growth and reducing poverty in the Sub-Saharan Africa sub-region. The study also looks at the relationship between corruption and foreign aid in the region. Using a relatively recent data compared to other foreign aid studies, the study set out to test the hypothesis that there is a significant negative relationship between foreign aid and economic growth and also that there is a significant positive relationship between foreign aid and corruption levels in the region. The data for the study was sourced from World Bank Development Indicator and Transparency International’s Corruption Perception Index. 16 Sub-Saharan African countries were carefully selected for the study. The range of data used was from the year 2000 to 2014. Regression analysis method was employed. The result shows that at a significant level of 0.035, there is a significant negative relationship of -0.151 between GDP growth and ODA confirming the first hypothesis. Also, at significant level of 0.000, there is also a significant positive relationship of 0.079 between ODA and corruption levels confirming the second hypothesis. The result confirms that foreign aid has a negative impact on economic growth on the Sub-Saharan African continent and foreign aid also leads to increased corruption levels in the sub-region. Some ways through which foreign aid impedes on economic growth in the region was identified as well as the ulterior motives behind the continuous disbursement of foreign aid. The study has implication on sub-Saharan Africa championing an indigenous development model devoid of foreign reliance and interference. 사하라 이남 아프리카 지역의 경제발전 및 부패에 미치는 해외원조의 효율성 분석 본 연구는 사하라 이남 아프리카 지역의 경제 성장 촉진 및 빈곤 감소를 목적으로 한 대외 원조의 효과성에 대해 제시하였다. 또한 이 연구는 지역 내 부패 그리고 대외 원조 간 관계에 대해서도 살펴보고 있다. 본 연구는 대외 원조 연구 사례 등 타 선행 연구와 달리 상대적으로 최신 데이터를 사용하였으며, 이 연구에서는 사하라 이남 아프리카 지역 내 대외 원조와 경제 성장은 반비례하고 지역 내 대외 원조와 부패 레벨이 비례하는 가설을 설정하였다. 본 연구를 하기 위하여 세계은행 개발지수(World Bank Development Indicator)와 국제 투명성 기구의 부패 인식 지수(Transparency International’s Corruption Perception Index)에서 데이터들을 표본 추출하였다. 사하라 이남 아프리카 지역 16개 국가들을 연구 대상으로 선정하였고, 2000년부터 2014년까지로 14년 간 수집된 데이터를 사용하였다. 추출한 데이터들을 표본으로 회귀 분석법을 통하여 나타내어진 결과는 0.035의 유의 수준으로, GDP 성장과 공적 개발원조 (ODA) 간 관계가 0.151 정도의 지수로 반비례 하다는 것을 첫 번째 가설에서 확인할 수 있었고, 두 번째 가설에서는 0.00의 유의 수준과 함께 공적 개발원조와 부패 지수 간 관계가 0.079로 비례한다는 것을 확인할 수 있었다. 결과적으로 대외 원조는 사하라 이남 아프리카 지역의 경제 성장에 부정적 영향을 끼치고 있으며, 또한 대외 원조가 지역 내 부패 지수를 증가시킨다는 것도 확인되었다. 이 지역의 경제 성장에 대외 원조가 방해하는 몇 가지 방법을 대외 원조의 지속적인 지출 뒤 숨은 동기와 함께 확인할 수 있었다. 본 연구는 사하라 이남 아프리카 지역이 해외 의존과 간섭 없이 지역 특유의 개발 모델을 고수하고 있다는 것을 보여주고 있다.

Educating Mental Health Clinic Providers on the Benefits of Yoga for Older Adults

Okorie, Kalu Nnate ProQuest Dissertations & Theses The University of 2019 해외박사(DDOD)

소속기관이 구독 중이 아닌 경우 오후 4시부터 익일 오전 9시까지 원문보기가 가능합니다.

Background: Depression is a grave mental health condition in the United States, and 3.4% of the older adult population experiences depression (Centers for Disease Control and Prevention, 2011). Older adults with depression may not engage in mental health treatment because of the cost of co-pay, treatment duration, the stigma of having depression and seeking mental health services and intolerance to medication side effects. Traditional care for treatment of depression, including antidepressant medicines, cognitive behavioral therapy, and supportive treatment, continue to be utilized. However, there is also an increase in the use of naturalistic and more holistic treatment options which include exercise therapies such as yoga (Prathilkanti et al., 2017). Evidence suggests that yoga reduces symptoms of depression (Cahoon, 2012). Objective: The purpose of this project was to educate mental health providers in an Arizona clinic on the benefits of yoga for older adults with depression. Setting: A private solo-practitioner psychiatry practice serving adults in the suburban Phoenix, AZ area. Findings: Post yoga education questionnaire was completed by the mental health providers in an Arizona clinic to determine the participants knowledge on yoga as a therapeutic treatment option for older adults with depression. Results revealed positive findings that mental health providers in an Arizona clinic agreed to the facts that yoga would be beneficial as a treatment modality for depressive conditions among older adults. Discussion: Participants indicated they were open to recommending yoga as an adjunct therapy to older adults with depression and identified additional education on yoga education would be helpful. The ability of the mental health providers to participate in yoga education session indicates willingness to recommending yoga as a treatment option to older adults with depression. Further study is indicated to identify the efficacy of educating mental health providers on the benefits of yoga for older adults with depression.

Image Segmentation-Registration Cooperative Techniques Applied to Biomedicine and Remote Sensing

Okorie, Azubuike ProQuest Dissertations & Theses Delaware State Uni 2022 해외박사(DDOD)

소속기관이 구독 중이 아닌 경우 오후 4시부터 익일 오전 9시까지 원문보기가 가능합니다.

The topic of this dissertation is the development of segmentation–registration and registration–segmentation cooperative techniques for applications in remote sensing and biomedical imaging domains. On one hand, image segmentation is the process of partitioning digital images into meaningful regions, while on the other hand, image registration which is the process of establishing a correspondence for the alignment of two images of the same scene portraying viewpoint, temporal or sensor variations. Image registration and segmentation are useful in many domains of application in computer vision and biomedicine. In biomedical applications, accurate region delineation is useful for tissue identification, tissue quantification and cell tracking. In addition, correct alignment of images may be critical for detection of tumors, changes in body tissues, the effect of aging on the bone structure, or diseases in the body. Hence aiding treatment planning, clinical diagnosis, and clinical trials. In satellite–remote sensing applications, segmentation may be used for target recogniction, and object detection, while a precise alignment of images may be important for target and change detection, urban planning, and many other applications. In the part of this work that relates to automated registration via segmentation, we propose a joint region feature set and a matching cost function for registration of remote sensing/satellite images exhibiting multi-sensor, multi-spectral, and multi-view characteristics. Our joint region descriptor is a combination of Fourier, intensity, and shape features. Our work first delineates the input and reference images into regions by segmentation. Next, it extract joint intensity and shape features from the regions. It computes region similarity measures for feature matching. Finally, it estimate the geometric transform by the maximum-likelihood sampling consensus (MLESAC) technique. Our results are promising, showing potentials for sub-pixel accuracy. In addition, our algorithm outperformed most state-of-the-art automated feature-based registration algorithms incorporating feature detection and extraction algorithms such as SURF-SURF, BRISK-SURF, HARRIS-FREAK, FAST-FREAK, minimum eigenvalue-FREAK, and KAZE-KAZE.Furthermore, this work proposes an unsupervised subspace learning-based disaster mapping (SLDM) technique using pre- and post-disaster satellite imagery. It first finds the geometric transformation for automatic image registration by matching regions represented by shape and intensity descriptors as described above. It produces piece-wise constant approximations of the two images using the delineated regions. It performs subspace learning in the joint regional space to produce a change map and identify the damaged regions by probabilistic subspace distances between test points and the subspace model.We tested our method on seven disaster datasets including four wildfire events, two flooding events and one tsunami/earthquake event. Comparative analysis of our method with state-of-the-art techniques, such as Gabor Two-Level Clustering (G-TLC), image differencing and differenced-spectiral indices (NDVI, NBR, and NDWI) indicate that the proposed SLDM framework and especially the multi-band variant SLDM-SF-MS-MB produced more accurate disaster maps than the compared method, overall. Quantitative and qualitative evaluations of the proposed SLDM method confirm its capacity for disaster mapping, and its applicability to different categories of disaster events. In the segmentation approach using deformable registration models, our work first introduces a statistical shape modeling technique for atlas generation and multi-atlas-based image segmentation (MAIS) techniques for the identification of soft and hard tissues in biomedical imaging data. To calculate the deformation fields, it employed multi-grid free-form deformation (FFD) models with B-splines, symmetric log-domain extension of diffeomorphic demons (SDD) or Symmetric Normalization (SyN) from the Advanced Normalization Tools (ANTs) library. It then applies majority voting, or Simultaneous Truth And Performance Level Estimation (STAPLE) for label fusion. It compared the results of our MAIS methodology for each deformable registration model and each label fusion method, using Dice similarity coefficient scores (DSC) against manually segmented tissue label maps. It applied MAIS methods: FFD-STPL, SDD-STPL, and SyN-STPL, to two datasets: 2D peripheral quantitative computed tomography (pQCT) scans in the lower leg and 3D thigh magnetic resonance images (MRIs), where STPL stands for simultaneous truth and performance level estimation or STAPLE. Our results are encouraging for both applications, even for pQCT scans with considerable quality degradations – such as motion artifacts, or when boundaries between tissues are ambiguous because of physiological reasons. SDD-STPL outperformed FFD-STPL and SyN-STPL on both datasets. Furthermore, our method applied the BM3D algorithm to enhance the statistical atlas generated for the 3D thigh MRI dataset, and generated silver truth with our MAIS model. Statistical enhancement using BM3D improved our MAIS result better than other image enhancement techniques, including Wiener filtering, unsharp-masking, histogram equalization and histogram matching.