558 research outputs found
Modelling enzyme electrodes – what do we learn and how is it useful?
No full textThere has been an enormous increase in the computational power readily available since the first numerical treatments of electrochemical problems in the early 1960s. This development has been accompanied by the development of powerful, widely available, commercial software modelling tools. Despite this, approximate analytical treatments remain extremely useful in the modelling of coupled diffusion/reaction problems in electrochemistry because of the insights they provide into the different possible behaviours of the system. In this paper we discuss the modelling of amperometric enzyme electrodes, taking as our exemplar redox hydrogel-based enzyme electrodes in which the enzyme is immobilized in a redox active polymer which wires the enzyme to the electrode. In this system the measured current is related to many different experimental variables including substrate concentration and diffusion coefficient, reaction rate constants, and film properties and thickness. The interplay of these factors is described and the role of Case diagrams in understanding coupled diffusion/reaction problems of this type is discussed.</p
Dataset in support of thesis titled "Numerical Study of Transient Response in Amperometric and Potentiometric Glucose Biosensors"
No full textThis dataset contains:
1-.gif files containing animations for the reaction-diffusion simulations for different input variables. Animation Created in MATLAB R2022a.
2-.gif files containing animations for the 3D Case diagram created in Wolfram Mathematica 13.1.
3-.m files containing MATLAB code for the readers to reproduce the simulations. Files titled "ND_PS_EK_PencilE_SubStep_v3.mlx" and "Fit_PS_PencilE_Caller.mlx" are associated with Chapter 4. </span
Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan
No full textThe science of hydrological modeling has continuously evolved under the influence of rapid advancements in software and hardware technologies. Starting from simple rational formulae for estimating peak discharge and developing into sophisticated univariate predictive models, accurate conversion of rainfall into runoff and the assessment of inherent uncertainty has been a prime focus for researchers. Therefore, alternative data-driven methods have gained widespread attention in hydrology. Moreover, scientists often couple conventional machine learning models with data pre-processing techniques, i.e., wavelet transformation (WT), to enhance modelling accuracy. In this context, this research work attempts to explore the latent linkage between rainfall and runoff in Pothohar region of Pakistan by developing a novel linkage of five streamline techniques of machine learning, including single decision tree (SDT), decision tree forest (DTF), tree boost (TB), multilayer perceptron (MLP), and gene expression modeling (GEP), with a more sophisticated variant of WT, i.e., maximal overlap discrete wavelet transformation (MODWT), for boundary correction of the transformed components of timeseries data. This study also implements these machine learning models in a stand-alone mode for a more comprehensive comparative analysis of performances. Furthermore, the study uses a combined-basin approach that divides Pothohar region into two basins to compensate for the complex topographic division of the study area. The results indicate that MODWT-based DTF outperformed other stand-alone and hybrid models in terms of modeling accuracy. In the first scenario, considering the Bunha-Kahan River basin, MODWT-DTF yielded the highest NSE (0.86) and the lowest RMSE (220.45 mm) and R2 (0.92 at lag order 3 (Lo3)) when transformed with daubechies4 (db4) at level three. While in the Soan-Haro River basin, MODWT-DTF produced the highest accuracy modeling at lag order 4 (Lo4) (NSE = 0.88, RMSE = 21.72 m(3)/s, and R2 = 0.91). The highly accurate performance of 3- and 4-days lagged models reflects the temporal consistency in hydrological response of the study area. The comparison of simple and hybrid model performance indicates up to a 55% increase in modeling accuracy due to data pre-processing with wavelet transformation
Video interview with author and manuscript owner Professor Sa’adiya Omar
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center), and Eleni Castrol (Technical Lead, BU Libraries). These collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Video interview with author and manuscript owner Professor Sa’adiya Omar. Professor Sa’adiya Omar, the most celebrated author of women in the Sokoto Caliphate of Northern Nigeria. Professor Sa’adiya currently occupies the position of Nana Asma’u and Modibbo Kilo, the leaders of the Yantaru movement, i.e. Uwartaru (the Mother of the Yantaru). Equally, she had served as the National Amirah (President) of the largest Muslim umbrella organization in Nigeria – Federation of Muslim Women’s Associations in Nigeria (FOMWAN). As at the present, she serves in many capacities and is a member of various Islamic committees in Sokoto state and in Nigeria in general
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
No full textIrrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
Images of the town of Minna and of FOMWAN schools
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center), and Eleni Castrol (Technical Lead, BU Libraries). These collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Images of the town of Minna and of FOMWAN school
Images of Fulani students and the town of Yola, Nigeria
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center at Boston University), and Eleni Castrol (Technical Lead, BU Libraries). The collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Materials in this web edition may be cited as: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Photographs of Fulani students and the town of Yola, Nigeri
FOREIGN DIRECT INVESTMENT AND SPILLOVER EFFECTS IN BRUNEI DARUSSALAM
No full textMaster'sMASTER OF SOCIAL SCIENCE
Images of Professor Sa’adiya Omar, Yantaru leaders, and Sokoto, Nigeria
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center), and Eleni Castrol (Technical Lead, BU Libraries). These collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Images of Professor Sa’adiya Omar, Yantaru leaders, and Sokoto, Nigeri
Images of Chief Funmilayo Ransome-Kuti
No full textFieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), Hauwa Usman (Local Project Manager), Alhaji Abubakar Maikudi Aishat (General Field Facilitator). Technical Team: Prof. Fallou Ngom (Project Director and former Director of the African Studies Center), and Eleni Castrol (Technical Lead, BU Libraries). These collections on Gender in Nigerian Ajami Manuscripts are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom ([email protected]). Required Citation: Kurfi, M. H., Hauwa U., Ngom, F., and Castro, E. (2020). African Ajami Library: Gender in Nigerian Ajami Manuscripts. Boston: Boston University Libraries: http://hdl.handle.net/2144/41953. For Inquiries: Please Contact Professor Fallou Ngom ([email protected]).Photographs of Chief Funmilayo Ransome-Kuti
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