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2024

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Igamt: Privacy-Preserving Electronic Health Record Synthesization With Heterogeneity And Irregularity, Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong Jan 2024

Igamt: Privacy-Preserving Electronic Health Record Synthesization With Heterogeneity And Irregularity, Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong

Faculty, Staff and Student Publications

Utilizing electronic health records (EHR) for machine learning-driven clinical research has great potential to enhance outcome predictions and treatment personalization. Nonetheless, due to privacy and security concerns, the secondary use of EHR data is regulated, constraining researchers’ access to EHR data. Generating synthetic EHR data with deep learning methods is a viable and promising approach to mitigate privacy concerns, offering not only a supplementary resource for downstream applications but also sidestepping the privacy risks associated with real patient data. While prior efforts have concentrated on EHR data synthesis, significant challenges persist: addressing the heterogeneity of features including temporal and non-temporal …

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Bridging The Gap: Rademacher Complexity In Robust And Standard Generalization, Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su Jan 2024

Bridging The Gap: Rademacher Complexity In Robust And Standard Generalization, Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

Training Deep Neural Networks (DNNs) with adversarial examples often results in poor generalization to test-time adversarial data. This paper investigates this issue, known as adversarially robust generalization, through the lens of Rademacher complexity. Building upon the studies by Khim and Loh (2018); Yin et al. (2019), numerous works have been dedicated to this problem, yet achieving a satisfactory bound remains an elusive goal. Existing works on DNNs either apply to a surrogate loss instead of the robust loss or yield bounds that are notably looser compared to their standard counterparts. In the latter case, the bounds have a …

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Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain Jan 2024

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

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Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks Jan 2024

Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks

Faculty, Staff and Student Publications

Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, …

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Weak Supervision, Strong Results: Achieving High Performance In Intracranial Hemorrhage Detection With Fewer Annotation Labels, Kareem A Wahid, David Fuentes Jan 2024

Weak Supervision, Strong Results: Achieving High Performance In Intracranial Hemorrhage Detection With Fewer Annotation Labels, Kareem A Wahid, David Fuentes

Faculty, Staff and Student Publications

No abstract provided.

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Biomedical Big Data Technologies, Applications, And Challenges For Precision Medicine: A Review, Xue Yang, Kexin Huang, Dewei Yang, Weiling Zhao, Xiaobo Zhou Jan 2024

Biomedical Big Data Technologies, Applications, And Challenges For Precision Medicine: A Review, Xue Yang, Kexin Huang, Dewei Yang, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent …

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Explainable Suicide Phenotyping From Initial Psychiatric Evaluation Notes Using Reasoning Large Language Models, Zehan Li, Wanjing Wang, Lokesh Shahani, Rodrigo M Vieira, Salih Selek, Jair Soares, Hongfang Liu, Ming Huang Jan 2024

Explainable Suicide Phenotyping From Initial Psychiatric Evaluation Notes Using Reasoning Large Language Models, Zehan Li, Wanjing Wang, Lokesh Shahani, Rodrigo M Vieira, Salih Selek, Jair Soares, Hongfang Liu, Ming Huang

Faculty, Staff and Student Publications

Clinical phenotyping is the process of extracting patient's observable symptoms and traits to better understand their disease condition. Suicide phenotyping focuses more on behavioral and cognitive characteristics, such as suicide ideation, attempt, and self-injury, to identify suicide risks and improve interventions. In this study, we leveraged the latest reasoning models, namely 4o, o1, and o3-mini, to perform note-level multi-label classification and reasoning generation tasks using previously annotated psychiatric evaluation notes from a safety-net psychiatric inpatient hospital in Harris County, Texas. Compared with the previously finetuned GPT-3.5 model, the out-of-box reasoning models prompted with in-context learning achieved comparable and better performance, …

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Combination Chemotherapy Optimization With Discrete Dosing, Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J Schaefer, Clifton D Fuller Jan 2024

Combination Chemotherapy Optimization With Discrete Dosing, Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J Schaefer, Clifton D Fuller

Faculty, Staff and Student Publications

Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate potential regimens; one way to alleviate this burden and better inform future trials is to build reliable models for drug administration. This paper presents a mixed-integer program for combination chemotherapy (utilization of multiple drugs) optimization that incorporates various important operational constraints and, besides dose and concentration limits, controls treatment toxicity based on its effect on the count of white blood cells. To address the uncertainty of tumor heterogeneity, we also propose chance constraints that guarantee reaching an operable tumor size with a high probability in …

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Jointtracker: Real-Time Inertial Kinematic Chain Tracking With Joint Position Estimation, Bertram Taetz, Michael Lorenz, Markus Miezal, Didier Stricker, Gabriele Bleser-Taetz Jan 2024

Jointtracker: Real-Time Inertial Kinematic Chain Tracking With Joint Position Estimation, Bertram Taetz, Michael Lorenz, Markus Miezal, Didier Stricker, Gabriele Bleser-Taetz

Faculty, Staff and Student Publications

In-field human motion capture (HMC) is drawing increasing attention due to the multitude of application areas. Plenty of research is currently invested in camera-based (markerless) HMC, with the advantage of no infrastructure being required on the body, and additional context information being available from the surroundings. However, the inherent drawbacks of camera-based approaches are the limited field of view and occlusions. In contrast, inertial HMC (IHMC) does not suffer from occlusions, thus being a promising approach for capturing human motion outside the laboratory. However, one major challenge of such methods is the necessity of spatial registration. Typically, during a predefined …

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Computer Vision Enabled Approaches To Predicting Responses To Fluctuating Temperatures In Aquatic Embryos, Ziad Ibbini Jan 2024

Computer Vision Enabled Approaches To Predicting Responses To Fluctuating Temperatures In Aquatic Embryos, Ziad Ibbini

School of Biological and Marine Sciences Theses

Fluctuations in temperature are prevalent within environments inhabited by many ectotherms, and climate change continues to rapidly alter the thermal regimes of these environments. Early developmental stages are often the most thermally sensitive life stage, and thus can drive a species’ vulnerability to climate change. Our current understanding of the effects of fluctuating temperatures (FTs) is predominately based upon comparisons of responses to constant temperatures (CTs). Relating CT responses to those of FTs is typically achieved through the use of thermal performance curves, which are integrated over time to estimate cumulative performance and thus a developmental endpoint; an approach often …

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Professional Development In Gifted Education: A Systematic Literature Review, Geraldine Townend, Jennifer L. Jolly, Adrian W. Chew Jan 2024

Professional Development In Gifted Education: A Systematic Literature Review, Geraldine Townend, Jennifer L. Jolly, Adrian W. Chew

Australian Journal of Teacher Education

This systematic literature review explored the importance of professional development (PD) for educators working with gifted students. Findings highlighted the need for PD to improve teacher knowledge, skills, efficacy, and student outcomes, especially considering the heterogeneously grouped classrooms, unique student needs, and lack of pre-service gifted education training for most teachers. The review identified key themes including PD evaluation, teacher perceptions, and pedagogical practices. The findings suggested that effective PD programs should (a) enhance knowledge and classroom practice, (b) be evidence-based, (c) consider both teacher and student outcomes, (d) be of sustained duration, and (e) include collaborative activities with ongoing …

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Perceptions Towards Integrating A Gender Perspective Into Education: A Study Of Muslim Preservice Teachers In The Philippines, Veronico N. Tarrayo, Ma. Annie Susaya, Delma A. Yuarata Jan 2024

Perceptions Towards Integrating A Gender Perspective Into Education: A Study Of Muslim Preservice Teachers In The Philippines, Veronico N. Tarrayo, Ma. Annie Susaya, Delma A. Yuarata

Australian Journal of Teacher Education

: To date, studies exploring Muslim preservice teachers’ views on gender matters in education remain scant. We conducted a qualitative-quantitative survey with 45 Filipino Muslim preservice teachers, ten of whom participated in follow-up email interviews, to explore their perceptions towards integrating a gender perspective into education. The results indicate the participants’ progressive views on fluid gender norms, although they also share conflicting perspectives on gender roles that tend to reinforce gender stereotypes. The preservice teachers also report positive perceptions concerning their institutions’ commitment to gender sensitivity and gender mainstreaming in teacher-education curricula. However, they seem to have unrealistic views on …

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Optimizing Biomass Briquette Drying: A Computational Fluid Dynamics Approach With A Case Study In Mozambique, Fauzia Argentina Guibunda, Sebastian Waita, Francis Wanjala Nyongesa, G Jeffrey Snyder, Jimmy Chaciga Jan 2024

Optimizing Biomass Briquette Drying: A Computational Fluid Dynamics Approach With A Case Study In Mozambique, Fauzia Argentina Guibunda, Sebastian Waita, Francis Wanjala Nyongesa, G Jeffrey Snyder, Jimmy Chaciga

All Rsif Scholars' Publications

Biomass fuels remain the primary cooking energy source in many developing regions, contributing to deforestation and greenhouse gas emissions. Briquettes made from waste biomass are a sustainable alternative; however, their production is hindered by inefficient drying methods, such as open sun drying, which can take 5 to 7 days. This study evaluates the thermal and airflow performance of a solar tunnel dryer (STD) designed to accelerate drying times for charcoal briquettes under Mozambique's climatic conditions. Using Computational Fluid Dynamics (CFD) simulations, temperature and airflow distributions were analyzed to optimize dryer performance. Moisture and temperature profiles of hexagonal briquettes …

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Review On Sizing And Management Of Stand-Alone Pv/Wind Systems With Storage, Guétinsom Jean Kafando, Daniel Yamegueu, Etienne Tchoffo Houdji Jan 2024

Review On Sizing And Management Of Stand-Alone Pv/Wind Systems With Storage, Guétinsom Jean Kafando, Daniel Yamegueu, Etienne Tchoffo Houdji

All Rsif Scholars' Publications

Extending the public electricity grid to rural or peri-urban areas is sometimes very costly and unprofitable due to their remoteness, low population density and sometimes difficult accessibility. In view of this, and in the concern of a sustainable development, the autonomous PV and/or wind power systems is increasingly used. However, these fluctuating source systems remain unreliable due especially to their intermittent nature, what justifies the integration of battery storage systems to them. They are also still expensive, particularly in the African context, limiting their access to the greatest number of the population. In addition to these problems of cost and …

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Inventory Management System For Medical Stores In A Primary Health Care Centre In Jada, Adamawa State, Nigeria, Daniel Dzarma Ezra, G Delga, N Nyor, K. T Dagba, M. A Samuel Jan 2024

Inventory Management System For Medical Stores In A Primary Health Care Centre In Jada, Adamawa State, Nigeria, Daniel Dzarma Ezra, G Delga, N Nyor, K. T Dagba, M. A Samuel

All Rsif Scholars' Publications

Efficient inventory management is crucial for the success of any organization or establishment. Hence, the objective of this paper was to focus on the inventory management system by developing an optimal inventory policy for Medical Stores in a Primary Health Care Centre in Jada, Adamawa State, Nigeria using a multiitem inventory model with the assistance of Excel spreadsheets. Results obtain revealed that the Economic Order Quantity (EOQ) for the Primary Health Care centre under investigation is optimal at 0.0086. This EOQ aligns with the storage capacity of 10,287 square meters, which closely meets the original storage capacity requirement of 10,288 …

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Enhancing Identification Of Meteorological And Biological Targets Using The Depolarization Ratio For Weather Radar: A Case Study Of Faw Outbreak In Rwanda, Fidele Maniraguha, Anthony Vodacek, Kwang Soo Kim, Emmanuel Ndashimye, Gerard Rushingabigwi Jan 2024

Enhancing Identification Of Meteorological And Biological Targets Using The Depolarization Ratio For Weather Radar: A Case Study Of Faw Outbreak In Rwanda, Fidele Maniraguha, Anthony Vodacek, Kwang Soo Kim, Emmanuel Ndashimye, Gerard Rushingabigwi

All Rsif Scholars' Publications

Leveraging weather radar technology for environmental monitoring, particularly the detection of biometeors like birds, bats, and insects, presents a significant challenge due to the dynamic nature of their behavior. Unlike hydrometeor targets, biometeor targets exhibit arbitrary changes in direction and position, which significantly alter radar wave polarization upon scattering. This study addresses this challenge by introducing a novel methodology utilizing Rwanda’s C-Band Polarization Radar. Our approach exploits the capabilities of dual-polarization radar by analyzing parameters such as differential reflectivity (ZDR) and correlation coefficient (RHOHV) to derive the Depolarization Ratio (DR). While existing radar metrics offer valuable insights, they have limitations …

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Hybridization Of Learning Techniques And Quantum Mechanism For Iiot Security: Applications, Challenges, And Prospects, Ismaeel Abiodun Sikiru, Ahmed Dooguy Kora, Eugène C. Ezin, Agbotiname Lucky Imoize, Chun-Ta Li Jan 2024

Hybridization Of Learning Techniques And Quantum Mechanism For Iiot Security: Applications, Challenges, And Prospects, Ismaeel Abiodun Sikiru, Ahmed Dooguy Kora, Eugène C. Ezin, Agbotiname Lucky Imoize, Chun-Ta Li

All Rsif Scholars' Publications

his article describes our point of view regarding the security capabilities of classical learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of Things (IIoT) ecosystem. The heterogeneity of the IIoT ecosystem and the inevitability of the security paradigm necessitate a systematic review of the contributions of the research community toward IIoT security (IIoTsec). Thus, we obtained relevant contributions from five digital repositories between the period of 2015 and 2024 inclusively, in line with the established systematic literature review procedure. In the main part, we analyze a variety of security loopholes in the IIoT and categorize them into …

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Enhanced Neonatal Screening For Sickle Cell Disease: Human-Guided Deep Learning With Cnn On Isoelectric Focusing Images, Kpangni Alex Jérémie Koua, Cheikh Talibouya Diop, Lamine Diop, Mamadou Diop Jan 2024

Enhanced Neonatal Screening For Sickle Cell Disease: Human-Guided Deep Learning With Cnn On Isoelectric Focusing Images, Kpangni Alex Jérémie Koua, Cheikh Talibouya Diop, Lamine Diop, Mamadou Diop

All Rsif Scholars' Publications

Accurate detection of abnormal hemoglobin variations is paramount for early diagnosis of sickle cell disease (SCD) in newborns. Traditional methods using isoelectric focusing (IEF) with agarose gels are technician-dependent and face limitations like inconsistent image quality and interpretation challenges. This study proposes a groundbreaking solution using deep learning (DL) and artificial intelligence (AI) while ensuring human guidance throughout the process. The system analyzes IEF gel images with convolutional neural networks (CNNs), achieving over 98% accuracy in identifying various SCD profiles, far surpassing the limitations of traditional methods. Furthermore, the system addresses ambiguities by incorporating an “Unconfirmed” category for unclear cases …

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An Android-Based Internet Of Medical Things Adaptive User Authentication And Authorization Model For The Elderly, Prudence Munyaradzi Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma Jan 2024

An Android-Based Internet Of Medical Things Adaptive User Authentication And Authorization Model For The Elderly, Prudence Munyaradzi Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

All Rsif Scholars' Publications

Globally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments, according to recent research. However, several barriers within the healthcare system in the developing world hinder the adoption of home-based patient management, hence the need for the IoMT, whose application raises security concerns, particularly in authentication. Several authentication techniques have been proposed; however, they lack a balance of security and usability. This paper proposes a Naive Bayes based adaptive user authentication app that calculates the risk associated with a login attempt on an Android device for elderly users, using their health conditions, risk score, and available …

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Two Decades Of Land Cover Change And Anthropogenic Pressure Around Bontioli Nature Reserve In Burkina Faso, Issaka Abdou Razakou Kiribou, Kangbéni Dimobe, Lassane Yameogo, Huiyi Yang, Truly Santika, Sintayehu W. Dejene Jan 2024

Two Decades Of Land Cover Change And Anthropogenic Pressure Around Bontioli Nature Reserve In Burkina Faso, Issaka Abdou Razakou Kiribou, Kangbéni Dimobe, Lassane Yameogo, Huiyi Yang, Truly Santika, Sintayehu W. Dejene

All Rsif Scholars' Publications

Protected areas (PAs) are critical for ecosystem maintenance and providing services that benefit both wildlife and people. Nevertheless, climate change and anthropogenic pressures are posing an increasing challenge. Surrounded by high human population densities, there is still a paucity of information on how the land cover in Burkina Faso's PAs is changing, and what kinds of human activities are the main drivers. In this study, we examined the change in land use and land cover (LULC) in the Bontioli Nature Reserve (NR), one of Burkina Faso's most important protected areas, and assessed anthropogenic pressure within and around. Landsat imagery (ETM+ …

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Choice Modelling Of Ecooking Adoption By Households In Ghana, Rejoice Ntiriwaa Ossei-Bremang, Fabian Chidubem Eze, Kwame Anane-Fenin, Francis Kemausuor Jan 2024

Choice Modelling Of Ecooking Adoption By Households In Ghana, Rejoice Ntiriwaa Ossei-Bremang, Fabian Chidubem Eze, Kwame Anane-Fenin, Francis Kemausuor

All Rsif Scholars' Publications

The use of electric cooking appliances, also referred to as eCooking devices, presents a practical and
sustainable solution for achieving universal access to clean cooking facilities by 2030. A choice modelling
analysis on the factors that influence the selection of an eCooker in Ghana has been conducted to facilitate
market expansion for organisations seeking to offer clean cooking services. The study utilised Analytical
Hierarchy Process (AHP), Fuzzy-TOPSIS, and Data Envelopment Analysis (DEA) methodologies to assess and
rank electric cookers based on crucial factors such as kWh consumption rate, cooking efficiency, affordability,
time-saving features, ergonomics, space utilisation capabilities, compatibility with cookware …

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Development And Simulated Evaluation Of Inter-Seasonal Power-To-Heat And Power-To-Cool With Underground Thermal Storage For Self-Consumption Of Surplus Solar Energy In Buildings, Fabian Chidubem Eze, Wang-Je Lee, Young Sub An, Hongjin Joo, Kyoung-Ho Lee, Julius Mwabora Jan 2024

Development And Simulated Evaluation Of Inter-Seasonal Power-To-Heat And Power-To-Cool With Underground Thermal Storage For Self-Consumption Of Surplus Solar Energy In Buildings, Fabian Chidubem Eze, Wang-Je Lee, Young Sub An, Hongjin Joo, Kyoung-Ho Lee, Julius Mwabora

All Rsif Scholars' Publications

The adoption of renewable energy, such as solar, to meet the energy demand in buildings has become one of the keys to achieving the global target for net-zero emissions. As a result, solar photovoltaic installations have increased tremendously, giving rise to an enormous surplus of electricity generation, which has become an issue requiring alternative ways to be addressed. Underground thermal energy storage for power-to-heat operations has gained interest in this area due to its reliability, cost-effectiveness, and carbon-free nature. This study presents a novel system configuration with an operational strategy guided by a simple control method that uses surplus photovoltaic …

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Experimental Investigation And Comparative Environmental Impact Analysis Of Conventional And Naturally Occurring Kinetic Hydrate Inhibitors In Offshore Environments Using Toxicity And Bioconcentration Tools, Okon Okon, Joseph Atubokiki Ajienka, Sunday Sunday Ikiensikimama, Onyewuchi Emmanuel Akaranta, Virtue Urunwo Wachikwu-Elechi Jan 2024

Experimental Investigation And Comparative Environmental Impact Analysis Of Conventional And Naturally Occurring Kinetic Hydrate Inhibitors In Offshore Environments Using Toxicity And Bioconcentration Tools, Okon Okon, Joseph Atubokiki Ajienka, Sunday Sunday Ikiensikimama, Onyewuchi Emmanuel Akaranta, Virtue Urunwo Wachikwu-Elechi

All Rsif Scholars' Publications

In this present study, an in vivo experiment was carried out to determine the tendencies of a naturally occurring high-phenolic compound red-onion skin extract (HPC-ROSE) and conventional N-Vinylcaprolactam (N-VCAP) kinetic hydrate inhibitors (KHIs) to bio-accumulate in offshore environment through the analysis of their uptake and depuration kinetics by a Fish-Chemical Model using Cyprinus carpio marine invertebrate. This test was performed in the laboratory in a flow through experimental set up according to the guidelines by [49] (Fish-chemical exposure test). The uptake duration was 10 days with a depuration period of twenty days. The inhibitor toxicity test was evaluated by …

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Multi-Criteria Optimal Sizing And Analysis Of Pv/Wind/Fuel Cell/Battery/Diesel Generator For Rural Electrification: A Case Study In Chad, Mahamat Adoum Abdoulaye, Sebastian Waita, Cyrus Wabuge Wekesa, Julius Mwakondo Mwabora Jan 2024

Multi-Criteria Optimal Sizing And Analysis Of Pv/Wind/Fuel Cell/Battery/Diesel Generator For Rural Electrification: A Case Study In Chad, Mahamat Adoum Abdoulaye, Sebastian Waita, Cyrus Wabuge Wekesa, Julius Mwakondo Mwabora

All Rsif Scholars' Publications

Access to sustainable, clean, affordable, and reliable electricity is crucial for social and economic development, yet Sub-Saharan Africa (SSA) struggles significantly in this context. In CHAD, only 11.3% of the population is able to access electricity, making it one of the least electrified countries in SSA with the lowest clean energy access. In rural areas, electricity access falls to just 1.3%. This research applies and executes a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm using MATLAB R2023b to assess the techno-economic, environmental, and social impacts of a hybrid system based on optimal PV/Wind/Battery/Fuel Cell (FC)/Diesel generator (DG) sizing for rural electrification …

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Can High-Value Markets Ensure Households Food Security? Evidence From Avocado Producers In Sidama Region Of Ethiopia, Zerhun Zerhun Zerhun, Kehabtimer Kebede, Aneteneh Ashebir, Zerhun Ganewo, Abera Alemu, Andachew Samuel Jan 2024

Can High-Value Markets Ensure Households Food Security? Evidence From Avocado Producers In Sidama Region Of Ethiopia, Zerhun Zerhun Zerhun, Kehabtimer Kebede, Aneteneh Ashebir, Zerhun Ganewo, Abera Alemu, Andachew Samuel

All Rsif Scholars' Publications

Linking farmers to high-value markets continue to be a viable option for breaking the food insecurity. Many studies have emphasized on factors determining smallholders’ participation in high-value markets. Previous studies have methodological limitations since they neglected the associated effects on food security. Therefore, the purpose this study was to fill a knowledge gap by investigating the factors influencing smallholder avocado farmers’ participation in high-value markets and how it impacts households’ food security in the Aleta chuko district, Ethiopia. The primary data was collected from randomly selected 389 avocado producers using a semi-structured questionnaire. Descriptive statistics, inferential statistics, and propensity score …

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Enhancing The Textbook’S Cultural Content Within The University Museum: Students’ Perceptions Of Two Activities, Nausica Marcos Miguel, Megan Hancock Jan 2024

Enhancing The Textbook’S Cultural Content Within The University Museum: Students’ Perceptions Of Two Activities, Nausica Marcos Miguel, Megan Hancock

Faculty Publications

No abstract provided.

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Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti Jan 2024

Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti

Faculty Publications

No abstract provided.

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Arsenic And Accountability: A Retrospective On The Arsenic-Life Controversy, Jules Lieberman Jan 2024

Arsenic And Accountability: A Retrospective On The Arsenic-Life Controversy, Jules Lieberman

The Synapse: Intercollegiate science magazine

No abstract provided.

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Front Matter Jan 2024

Front Matter

The Synapse: Intercollegiate science magazine

No abstract provided.

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Marriage: Penguins And Humans Propose | A Ritual That Transcends Gender And Species, Ann Clark Jan 2024

Marriage: Penguins And Humans Propose | A Ritual That Transcends Gender And Species, Ann Clark

The Synapse: Intercollegiate science magazine

No abstract provided.

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