197,375 research outputs found
Integrated stacking motifs of TTF-like donors and cyclic trinuclear acceptor complexes of monovalent coinage metals: Supramolecular structures, magneto-opto electronic properties
No full textIntegrated stacking motifs of
TTF-like donors and cyclic trinuclear
acceptor complexes of monovalent
coinage metals: Supramolecular
structures, magento-opto-electronic
properties and potential
apps. M.M. Ghimire, O. Camille
Simon, V.N. Nesterov, A. Macchioni,
C. Zuccaccia, R. Galassi, M.A. Omar
Agricultural RWH system for irrigation to major crops in areas greater than 10% of total farm within the Albemarle-Pamlico basin (Figure modified from Ghimire and Johnston [55]; ARWH = agricultural RWH).
No full textAgricultural RWH system for irrigation to major crops in areas greater than 10% of total farm within the Albemarle-Pamlico basin (Figure modified from Ghimire and Johnston [55]; ARWH = agricultural RWH).</p
Ethnic differentials of the impact of Family Planning Program on contraceptive use in Nepal
No full textThere is wide variation of family planning services use among ethnic groups in Nepal. Despite three decades of implementation the need for family planning services is substantially unmet (25%), and there have been no systematic studies evaluating the impact of the family planning program. This study pooled data from nationally representative surveys conducted in 1996, 2001, and 2006. Multilevel logistic regression analysis of 23,381 married women of reproductive age nested within 764 clusters indicated that Muslims, Janjatis, and Dalits were significantly less likely to use contraceptives than Brahmins and Chhetries (OR=0.27, 0.88 and 0.82 respectively). The odds of using contraceptives by the Newar were higher than the odds for Brahmins and Chhetries, although it was not significant. Exposure of women to family planning messages through health facilities, family planning workers, radio, and television increased the odds of using modern contraceptives. However, the impact of family planning information on contraceptive use varied according to ethnicity. We also found that modern contraceptive use varied significantly across the clusters, and the cluster-level indicators, such as mean age at marriage, mean household asset score, percentage of women with secondary education, and percentage of women working away from home, were important in explaining this.ethnic differentials, family planning, family planning programs, Nepal
RETRACTED: Agro-morphological characterization of <i>Urochloa</i> grass accessions in Kenya
No full textThe Editors and Publisher have retracted this article because the text had already been published in Njarui et al 2016. The content conveyed by this article is therefore not original and redundant. The corresponding author, Donald Njarui, recognizes this involuntary duplication publication and agrees to the retraction of this article. The online version contains the full text of the retracted article as electronic supplementary material.
Supplementary material
http://www.tropicalgrasslands.info/public/417_Njauri_et_al.pdf
References
(Note of the editors: All hyperlinks were verified 28 June 2019.)
Njarui DMG; Gatheru M; Ghimire SR. 2016. Agro-morphological characterisation of Brachiaria grass accessions. In: Njarui DMG; Gichangi EM; Ghimire SR; Muinga RW, eds. Climate smart Brachiaria grasses for improving livestock production in East Africa - Kenya Experience. Proceedings of a workshop, Naivasha, Kenya, 14–15 September 2016. p. 27–36. hdl.handle.net/10568/8042
Description of Cluster 1 decision management objectives (DMOs).
No full textNote: baseline system consisted of RWH components: 13000 m3 sediment chamber, 155 m 101.6 mm diameter collection and distribution polyvinyl chloride (PVC) pipe, a polyethylene (PE) water holding tank, a pump, pumping energy, a pivot-center, control valves, and check valves, designed for corn crop irrigation adopted from Ghimire et al. (2014). All DMOs were a modification of the baseline system.</p
A summary of cropland, supplemental water needs, and RWH systems in the research site.
No full textSc = αSrc where, α = the ratio of crop water need to reference crop water need, Sc = supplemental irrigation water need; Src = the supplemental irrigation water need for the reference crop, corn (211.3 mm), obtained from Ghimire and Johnston [54]: HIGH = Highlands; PIED = Piedmont; COAS = Coastal; N/A = not available. Note: the number of agricultural RWH systems irrigating a specified crop, i, was calculated as the ratio of actual total crop area to average unit farm area (343,983 m2, obtained from Ghimire and Johnston [54]. Although quinoa is currently not cultivated in the region, analyses were conducted equivalent to wheat’s area.</p
Earthquake Early Warning System for Structural Drift Prediction Using Machine Learning and Linear Regressors
No full textIn this work, we explored the feasibility of predicting the structural drift from the first seconds of P-wave signals for On-site Earthquake Early Warning (EEW) applications. To this purpose, we investigated the performance of both linear least square regression (LSR) and four non-linear machine learning (ML) models: Random Forest, Gradient Boosting, Support Vector Machines and K-Nearest Neighbors. Furthermore, we also explore the applicability of the models calibrated for a region to another one. The LSR and ML models are calibrated and validated using a dataset of ∼6,000 waveforms recorded within 34 Japanese structures with three different type of construction (steel, reinforced concrete, and steel-reinforced concrete), and a smaller one of data recorded at US buildings (69 buildings, 240 waveforms). As EEW information, we considered three P-wave parameters (the peak displacement, Pd, the integral of squared velocity, IV2, and displacement, ID2) using three time-windows (i.e., 1, 2, and 3 s), for a total of nine features to predict the drift ratio as structural response. The Japanese dataset is used to calibrate the LSR and ML models and to study their capability to predict the structural drift. We explored different subsets of the Japanese dataset (i.e., one building, one single type of construction, the entire dataset. We found that the variability of both ground motion and buildings response can affect the drift predictions robustness. In particular, the predictions accuracy worsens with the complexity of the dataset in terms of building and event variability. Our results show that ML techniques perform always better than LSR models, likely due to the complex connections between features and the natural non-linearity of the data. Furthermore, we show that by implementing a residuals analysis, the main sources of drift variability can be identified. Finally, the models trained on the Japanese dataset are applied the US dataset. In our application, we found that the exporting EEW models worsen the prediction variability, but also that by including correction terms as function of the magnitude can strongly mitigate such problem. In other words, our results show that the drift for US buildings can be predicted by minor tweaks to models
The Psychological, Social, and Economic Impacts of COVID-19 on Nepali Migrant Workers
No full textThe global pandemic impacted Asian migrant workers disproportionately. During the first COVID-19 nationwide lockdown, Nepali migrant workers faced many challenges due to widespread misconceptions of them being vectors of COVID-19. This research examines COVID-19 impacts on international and internal Nepali migrant workers. A national survey on the social, economic, and psychological challenges of returning Nepali migrant workers was administered online from 10 May to 20 July 2020. A total of 672 responses were received. Using a binary logistic regression model, the research finds that the domestic migrant workers were less likely to get economic support, expect to borrow money during COVID-19, experience negative changes in their personal lives, and expect the COVID-19 contraction. In contrast, international migrant workers were less likely to return to their pre-pandemic employment. The research exposed long-standing vulnerabilities of migrant workers and identified immediate actions from Nepalese Central, Provincial, and Local governments to address their needs.This accepted article is published as Ghimire, J., Nepal, R. M., Crowley, J., Ghimire, D., & Guragain, S. (2022). The Psychological, Social, and Economic Impacts of COVID-19 on Nepali Migrant Workers. Journal of Asian and African Studies, 59(5), 1539-1555. https://doi.org/10.1177/00219096221141359 (Original work published 2024
Supplemental_Appendices_A_and_B – Supplemental material for Developing and Testing a Chart Abstraction Tool for ICU Quality Measurement
No full textSupplemental material, Supplemental_Appendices_A_and_B for Developing and Testing a Chart Abstraction Tool for ICU Quality Measurement by Jarone Lee, J. Matthew Austin, Jungyeon Kim, Paola D. Miralles, Haytham M. A. Kaafarani, Peter J. Pronovost, Vipra Ghimire, Sean M. Berenholtz, Karen Donelan and Elizabeth Martinez in American Journal of Medical Quality</p
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
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