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2025

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Effects Of Flooding-Induced Migration On Farm Technical Efficiency In Rivers State, Nigeria, Jacinta Nmutaka Umechukwu, Daniel Bruce Sarpong, Akwasi Mensah-Bonsu, Ama Ahene-Codjoe, Taeyoon Kim Jan 2025

Effects Of Flooding-Induced Migration On Farm Technical Efficiency In Rivers State, Nigeria, Jacinta Nmutaka Umechukwu, Daniel Bruce Sarpong, Akwasi Mensah-Bonsu, Ama Ahene-Codjoe, Taeyoon Kim

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This study assessed the effects of flooding-induced migration on farm technical efficiency in Rivers State. Data were collected on episodes that occurred between 2011 and 2022 to estimate the trend of flooding in the study area and also farm technical efficiency (TE), specifically from 2022 production activities. Translog Stochastic frontier was estimated and TE generated. The effect of migration on farm’s TE was analyzed using endogenous treatment effect model and the average treatment effects were estimated. Results obtained showed that flooding episodes occurred yearly in the twelve years under review. The Stochastic frontier analysis showed that migration has a positive …

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Assessment Of Bio-Security Knowledge, Attitude And Hygienic Practices Among Smallholder Chicken Farmers In Southern Mozambique, Noémia André Mugabe, Jamal Kussaga, Abdulsudi Issa-Zacharia Jan 2025

Assessment Of Bio-Security Knowledge, Attitude And Hygienic Practices Among Smallholder Chicken Farmers In Southern Mozambique, Noémia André Mugabe, Jamal Kussaga, Abdulsudi Issa-Zacharia

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The production of broiler chickens in intensive systems struggles to maintain hygiene in production, despite contributing to combating malnutrition, generating employment, and increasing family income, especially in developing countries. Using a structured questionnaire survey, a cross-sectional study was carried out among 395 smallholder farmers to evaluate their knowledge, attitudes, and practices related to farm biosecurity in urban and peri-urban areas of Mozambique and determine the factors affecting KAP (knowledge, attitude, and practice) levels. Data were analyzed using Statistical Package for Social Science (SPSS) (IBM version 27). The findings indicate that education level and training significantly influence (p < 0.001) food safety in terms of biosecurity knowledge, attitudes, and practices. Smallholders who attended food safety training exhibited positive attitudes (95.5%, mean score of 89.71 ± 10.1) in contrast to those who did not participate in training (74.8%, mean score of 79.91 ± 9.68). Additionally, washing hands with soap before and after using the toilet and wearing protective clothing during chicken husbandry were significantly associated with education level (χ² = 15.345, P = 0.018); those with informal education were 34% less likely to have a negative attitude toward food safety compared to those with high education. A significant correlation (p < 0.01) was observed between residence area, training, and biosecurity knowledge, attitude, and practice. Because smallholders lack training, hygiene expertise, and biosecurity practices on their farms, this study concluded that they pose a risk to public health and food safety. To maintain consumer health and guarantee food safety, farmers should properly dispose of waste, including dead chickens, and receive continuous training in excellent biosecurity measures on the farm

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Molecular Evidence Of Brucella Abortus Circulating In Cattle, Goats, And Humans In Central Equatoria State, South Sudan, Emmanuel Philip Lasuba Lita, Ernatus M. Mkupas, Erneo B. Och, Gerald Misinzo, Henriette Van Heerden, Robab Katani, Jacques Godfroid, Coletha Mathew Jan 2025

Molecular Evidence Of Brucella Abortus Circulating In Cattle, Goats, And Humans In Central Equatoria State, South Sudan, Emmanuel Philip Lasuba Lita, Ernatus M. Mkupas, Erneo B. Och, Gerald Misinzo, Henriette Van Heerden, Robab Katani, Jacques Godfroid, Coletha Mathew

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Brucellosis is a neglected zoonotic disease in most developing countries, including South Sudan. Precise identification of Brucella species is crucial for addressing public health and epidemiological concerns associated with brucellosis. The study aimed to identify Brucella species using real-time polymerase chain reaction (qPCR) from seropositive samples that were acquired from an earlier investigation. A total of 143 genomic DNA samples were extracted from brucellosis Rose Bengal plate test (RBPT) seropositive samples from humans (n=7), cattle (n=103) and goats (n=33). The samples were collected from Terekeka and Juba counties, Central Equatoria State (CES), South Sudan. The qPCR targeting the Brucella-specific IS711 …

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Jstmapp: A Web-Based Joint Spatiotemporal Modelling And Mapping Application For Epidemiologists, Alfred Ngwira, Samuel O.M Manda, Esron D. Karimuribo, Sharadhuli I. Kimera Jan 2025

Jstmapp: A Web-Based Joint Spatiotemporal Modelling And Mapping Application For Epidemiologists, Alfred Ngwira, Samuel O.M Manda, Esron D. Karimuribo, Sharadhuli I. Kimera

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Disease mapping models help create disease risk maps, which public health policymakers can use to design disease control and monitoring programmes. These models are now routinely implemented using spatial statistical software packages that use frequentist estimation methods, such as SaTScan and HDSpatialScan, and Bayesian estimation methods, such as the Windows version of Bayesian inference using Gibbs sampling (WinBUGS) and R integrated nested Laplace approximation (INLA). We aimed to develop a user-friendly joint disease spatiotemporal modelling and mapping application (JSTMapp) for epidemiologists and health statistics analysts based on Bayesian methods. Using the R package Shiny and utilising the proven and embedded …

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Meta-Analysis Of The Prevalence Of Tuberculosis In Cattle And Zoonotic Tuberculosis In Humans In Sub-Saharan Africa, Alfred Ngwira, Samuel Manda, Esron Daniel Karimuribo, Sharadhuli Iddi Kimera Jan 2025

Meta-Analysis Of The Prevalence Of Tuberculosis In Cattle And Zoonotic Tuberculosis In Humans In Sub-Saharan Africa, Alfred Ngwira, Samuel Manda, Esron Daniel Karimuribo, Sharadhuli Iddi Kimera

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Background Tuberculosis (TB) in cattle negatively affects the cattle economy in Africa, with zoonotic TB posing drugresistance issues in humans. The burden of TB in cattle and zoonotic TB in humans in sub-Saharan Africa (SSA) is not well understood. This study aimed to determine the prevalence of both TB in cattle and zoonotic TB in humans in SSA through meta-analysis. Methods Research on TB prevalence was sourced from multiple databases. A random effects meta-analysis model estimated TB prevalence in SSA and its regions, while meta-regression identified risk factors. The analysis included 114 studies for cattle and 59 for humans. Results …

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Effect Of Malt Barley Cluster Farming On Food Security In Amhara Region, Ethiopia, Betelhem Tsedalu Adane, Irene Susan Egyir, Ama Asantewah Ahene-Codjoe, Taeyoon Kim Jan 2025

Effect Of Malt Barley Cluster Farming On Food Security In Amhara Region, Ethiopia, Betelhem Tsedalu Adane, Irene Susan Egyir, Ama Asantewah Ahene-Codjoe, Taeyoon Kim

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Cluster farming is the practice of merging neighbouring farms into a unified production unit to grow specific crops collaboratively. This is a promising method to enhance food security by improving agricultural productivity through coordinated resource use and enabling access to inputs, technologies, and markets. Despite this benefit, no empirical studies have examined how malt barley cluster farming affects smallholder farmers’ food security. This study adopts descriptive and econometric analysis, including the endogenous switching regression model (ESRM) and control function approach to account for selection bias and endogeneity in estimating the causal effect of malt barley cluster farming. Cross-sectional data were …

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Estimation Of Genetic Parameters For Physiological And Milk Production Traits Of Holstein Friesian Crossbreds Reared In Tanzania, Vincent Habimana, Chinyere Charlotte Ekine-Dzivenu, Athumani Shabani Nguluma, Zabron Cuthibert Nziku, Gota Morota, Sebastian Wilson Chenyambuga, Raphael Mrode Jan 2025

Estimation Of Genetic Parameters For Physiological And Milk Production Traits Of Holstein Friesian Crossbreds Reared In Tanzania, Vincent Habimana, Chinyere Charlotte Ekine-Dzivenu, Athumani Shabani Nguluma, Zabron Cuthibert Nziku, Gota Morota, Sebastian Wilson Chenyambuga, Raphael Mrode

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The main objective of this study was to estimate the genetic parameters for physiological traits, milk yield, and milk composition in Holstein Friesian crossbred cattle raised at the Tanzania Livestock Research Institute’s (TALIRI) Tanga dairy farm. A total of 29 lactating Holstein Friesian × Zebu crossbred cows with 50% (HF50) and 75% (HF75) Holstein Friesian gene levels in their second and third months of lactation were included. Breed composition was determined based on the animal recording system at TALIRI, Tanga. A series of univariate and bivariate repeatability (r) test-day models was used to estimate genetic parameters, genetic (rg) and phenotypic …

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Naïve Bayes Based Android Adaptive User Authenticationprototype For Young Internet Of Medical Things Users, Prudence Munyaradzi Mavhemwa Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma Jan 2025

Naïve Bayes Based Android Adaptive User Authenticationprototype For Young Internet Of Medical Things Users, Prudence Munyaradzi Mavhemwa Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

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The increasing use of the Internet of Medical Things (IoMT) in healthcare highlights privacy and security concerns surroundingsensitive health data. This research focuses on enhancing the security and usability of IoMT for young users through arobust, adaptive continuous authentication model using physiological biometrics on Android devices and heart rate data fromsmartwatches. By integrating user behavior, environmental context, and health conditions, the model dynamically determinesrisk, trust, and authorization decisions. Machine learning techniques analyse data related to devices, networks, locations, anduser habits while considering demographics like age and medical conditions to assign suitable authenticators. The model balancesaccuracy and usability, favouring correct positive …

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A Scalable Approach To Internet Of Things And Industrial Internet Of Things Security: Evaluating Adaptive Self-Adjusting Memory K-Nearest Neighbor For Zero-Day Attack Detection, Promise Ricardo Agbedanu, Shanchieh Jay Yang, Richard Musabe, Ignace Gatare, James Rwigema Jan 2025

A Scalable Approach To Internet Of Things And Industrial Internet Of Things Security: Evaluating Adaptive Self-Adjusting Memory K-Nearest Neighbor For Zero-Day Attack Detection, Promise Ricardo Agbedanu, Shanchieh Jay Yang, Richard Musabe, Ignace Gatare, James Rwigema

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The Internet of Things (IoT) and Industrial Internet of Things (IIoT) have drastically transformed industries by enhancing efficiency and flexibility but have also introduced substantial cybersecurity risks. The rise of zero-day attacks, which exploit unknown vulnerabilities, poses significant threats to these interconnected systems. Traditional signaturebased intrusion detection systems (IDSs) are insufficient for detecting such attacks due to their reliance on pre-defined attack signatures. This study investigates the effectiveness of Adaptive SAMKNN, an adaptive k-nearest neighbor with self-adjusting memory (SAM), in detecting and responding to various attack types in Internet of Things (IoT) environments. Through extensive testing, our proposed method demonstrates …

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Evaluation Of Advanced Kalman Filter On Real-Time Agricultural Soil Parameters Through An Iot Resources-Constrained Device, Egas Jose Armando, Damien Hanyurwimfura, Omar Gatera, Kwang Soo Kim, Athanase Nduwumuremyi Jan 2025

Evaluation Of Advanced Kalman Filter On Real-Time Agricultural Soil Parameters Through An Iot Resources-Constrained Device, Egas Jose Armando, Damien Hanyurwimfura, Omar Gatera, Kwang Soo Kim, Athanase Nduwumuremyi

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Effective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance the reliability of Internet of Things (IoT) based agricultural soil monitoring. The study was conducted in Ruhango district, Rwanda, utilizing a wireless sensor node equipped with a Raspberry Pi 5 (ARM v8) and an integrated seven-in-one soil sensor measuring temperature, humidity, electrical conductivity, pH, nitrogen, phosphorus, and potassium. The sensor was placed at a depth of 20 cm in ten cassava farms, collecting data every 30 min for eight …

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Almanet: A Hybrid Online Learning Ids For Real-Time Iot Security, Promise Ricardo Agbedanu, Shanchieh (Jay) Yang, Richard Musabe, Ignace Gatare, James Rwigema Jan 2025

Almanet: A Hybrid Online Learning Ids For Real-Time Iot Security, Promise Ricardo Agbedanu, Shanchieh (Jay) Yang, Richard Musabe, Ignace Gatare, James Rwigema

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Although some modern Intrusion Detection Systems (IDSs) for Internet of Things (IoT) have explored online machine learning (ML) approaches to build these IDSs, most IoT-based IDSs are designed using offline ML techniques. IDSs built with offline ML approaches cannot adapt to rapidly changing IoT network conditions. They need continuous retraining and require a lot of computational power. To address these limitations, we propose ALMANET (ALMA+NET), a hybrid intrusion detection approach combining Approximate Large Margin Algorithm (ALMA) with Stochastic Weight Averaging (SWA) and an online neural network (NET). ALMANET leverages the power of online learning, which updates models incrementally and allows …

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Cleancity Iot: A Vehicle-Mounted Platform For Real-Time Urban Air-Quality Monitoring And Forecasting In Resource-Constrained African Cities, Eric Nizeyimana, Damien Hanyurwimfura, Gabriel Uwanyirigira, Bonaventure Karikumutima, Jimmy Nsenga, Irene Niyonambaza Mihigo Jan 2025

Cleancity Iot: A Vehicle-Mounted Platform For Real-Time Urban Air-Quality Monitoring And Forecasting In Resource-Constrained African Cities, Eric Nizeyimana, Damien Hanyurwimfura, Gabriel Uwanyirigira, Bonaventure Karikumutima, Jimmy Nsenga, Irene Niyonambaza Mihigo

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Urban air pollution is a growing public-health challenge in African cities, yet traditional monitoring stations are sparse and expensive. The paper presents CleanCity IoT, a deployed, low-cost, vehicle-mounted air-quality platform that combines IoT sensors, GSM connectivity, cloud aggregation, and machine learning to produce near-real-time exposure maps and 2- hour forecasts for multiple pollutants. Each device integrates lowcost sensors for PM2.5, PM10, NO₂, O₃, SO₂, and CO₂, alongside temperature and humidity. Measurements are geotagged and transmitted over mobile networks form vehicles to a cloud backend, where data are validated, stored, and visualized through a user-friendly dashboard that also issues automated alerts …

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A Machine Learning Approach To Lithology Classification In Mining Using Measurement While Drilling And Exploration Data, Gbétoglo Charles Komadja, Erik Westman, Aditya Rana, Anye Vitalis Jan 2025

A Machine Learning Approach To Lithology Classification In Mining Using Measurement While Drilling And Exploration Data, Gbétoglo Charles Komadja, Erik Westman, Aditya Rana, Anye Vitalis

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Accurate lithology classification is essential as variations in rock formations can significantly impact the cost and efficiency of mineral exploration and mining. Initial exploration maps provide insights into subsurface formations, though typically collected at widely spaced intervals. This study examines the use of early exploration data and Measurement While Drilling (MWD) data for lithology prediction through machine learning. The research specifically evaluates the benefit of incorporating spatial coordinates with MWD parameters to enhance classification accuracy, using support vector machine (SVM), random forest (RF), and extra gradient boosting (XGBoost) classifiers with tenfold cross-validation. The models were trained on 235,501 data points …

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Modelling And Optimization Of Microgrid With Combined Genetic Algorithm And Model Predictive Control Of Pv/Wind/Fc/Battery Energy Systems, Maklewa Agoundedemba, Chang Ki Kim, Hyun-Goo Kim, Raphael Nyenge, Nicholas Musila Jan 2025

Modelling And Optimization Of Microgrid With Combined Genetic Algorithm And Model Predictive Control Of Pv/Wind/Fc/Battery Energy Systems, Maklewa Agoundedemba, Chang Ki Kim, Hyun-Goo Kim, Raphael Nyenge, Nicholas Musila

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Microgrid systems with hybrid renewable energy resources, such as PV, wind, have been widely used with storage devices to supply power to certain load demands. However, technical issues and fewer benefits can occur due to their intermittent nature and the high investment costs associated. So, an accurate model, sizing, and management approach are required to maximize the operational benefits of the microgrid with battery energy storage systems and fuel cells. This study used the combined genetic algorithm (GA) and model predictive control (MPC) to size and optimize the hybrid renewable energy PV/Wind/FC/Battery subject to certain constraints on the power flow …

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Predicting Rock Mass Strength From Drilling Data Using Synergistic Unsupervised And Supervised Machine Learning Approaches, Gbétoglo Charles Komadja, Erik Westman, Aditya Rana, Anye Vitalis Jan 2025

Predicting Rock Mass Strength From Drilling Data Using Synergistic Unsupervised And Supervised Machine Learning Approaches, Gbétoglo Charles Komadja, Erik Westman, Aditya Rana, Anye Vitalis

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Extracting rock mass strength properties from existing data like Measurement While Drilling (MWD) is important to reduce the cost of additional geological and geotechnical surveys. This study presents an approach that combines clustering (unsupervised learning) and classification algorithms to identify similar rock groups for their prediction. The dataset comprises 272,272 MWD from 2,790 drill holes, split into 215,401 data points (2,332 drill holes) for cross-validation, and another 215,401 data points, from 558 previously unseen drill holes for testing. Principal component analysis (PCA) and clustering algorithms such as K-means, Gaussian mixture, C Fuzy, and hierarchical clustering were employed to group rocks …

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Development Of High-Performance Basalt Fiber-Reinforced Polymer Composite Using A Nanocellulose-Based Surface Modification Strateg, Abdulrahman Adeiza Musa, Junha Park, Gonui Hong, Soon Ho Yoon, Azikiwe Peter Onwualu, Minkook Kim Jan 2025

Development Of High-Performance Basalt Fiber-Reinforced Polymer Composite Using A Nanocellulose-Based Surface Modification Strateg, Abdulrahman Adeiza Musa, Junha Park, Gonui Hong, Soon Ho Yoon, Azikiwe Peter Onwualu, Minkook Kim

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Basalt fibers (BFs) have emerged as a promising alternative reinforcement material for developing fiberreinforced polymer (FRP) composites, due to their lower environmental impact compared with traditional fibers such as carbon and glass. However, the weak interfacial bonding between BFs and the polymer matrix limits the mechanical performance of basalt fiber-reinforced polymers (BFRPs). In this work, nanocelluloses (NCs), including cellulose nanofiber (CNF) and cellulose nanocrystal (CNC), were investigated as bio-based interfacial modifiers to enhance fiber–matrix adhesion and improve the mechanical performance of BFRP. While direct incorporation of NC into epoxy resin is challenging due to its poor dispersibility in hydrophobic media, …

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Effect Of Malt Barley Cluster Farming On Food Security In Amhara Region, Ethiopia, Betelhem Tsedalu Adane, Irene Susan Egyir, Edward Ebo Onumah, Ama Asantewah Ahene-Codjoe, Taeyoon Kim Jan 2025

Effect Of Malt Barley Cluster Farming On Food Security In Amhara Region, Ethiopia, Betelhem Tsedalu Adane, Irene Susan Egyir, Edward Ebo Onumah, Ama Asantewah Ahene-Codjoe, Taeyoon Kim

All Rsif Scholars' Publications

Cluster farming is the practice of merging neighbouring farms into a unified production unit to grow specific crops collaboratively. This is a promising method to enhance food security by improving agricultural productivity through coordinated resource use and enabling access to inputs, technologies, and markets. Despite this benefit, no empirical studies have examined how malt barley cluster farming affects smallholder farmers’ food security. This study adopts descriptive and econometric analysis, including the endogenous switching regression model (ESRM) and control function approach to account for selection bias and endogeneity in estimating the causal effect of malt barley cluster farming. Cross-sectional data were …

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Evaluation Of High-Risk Factors For Maternal Mortality At Specialist Hospital, Yola, Adamawa State, Nigeria, U. B. Danfulani, E. D. Dzarma, A Uduak Jan 2025

Evaluation Of High-Risk Factors For Maternal Mortality At Specialist Hospital, Yola, Adamawa State, Nigeria, U. B. Danfulani, E. D. Dzarma, A Uduak

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Maternal health disparities in Nigeria are pronounced, with higher maternal mortality rates (42 per 1,000 live births) and poor outcomes driven by education, healthcare access, and cultural factors like polygamy. Hence, the objective of this paper was to evaluate the effect of High-Risk Factors for Maternal Mortality at Specialist Hospital, Yola, Adamawa State, Nigeria using appropriate standard procedures with Application of Multi-Criteria Decision Modeling (MCDM) Using the Analytical Hierarchy Process (AHP). Data obtained reveals that Infant mortality is high, with under-five mortality at 120 per 1,000 and neonatal mortality at 2 per 1,000 live births. Healthcare system challenges include limited …

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Antibiotic Use And Antimicrobial Resistance: Knowledge, Attitudes, And Practices Among Smallholder Chicken Farmers In Southern Mozambique, Noemia Andre Mugabe, Jamal Kussaga, Abdulsudi Issa-Zacharia Jan 2025

Antibiotic Use And Antimicrobial Resistance: Knowledge, Attitudes, And Practices Among Smallholder Chicken Farmers In Southern Mozambique, Noemia Andre Mugabe, Jamal Kussaga, Abdulsudi Issa-Zacharia

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Intensive production systems face challenges in treating individual chickens due to the large number of animals, resulting in the indiscriminate use of antibiotics as the only alternative. The use of antibiotics in poultry production has adverse effects on humans, as prolonged consumption of contaminated meat can lead to the development of antibiotic resistance in intestinal bacteria. A cross-sectional survey involving 395 smallholder farmers was conducted through face-to-face interviews to assess knowledge, attitudes, and practices (KAP) regarding antibiotic use in urban and peri-urban areas of Southern Mozambique. Data were analyzed using SPSS version 27. The findings revealed that 60% of respondents …

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Clinical Application Of Chambo Tilapia Fish Skin Xenograft For Skin Tissue Regeneration: A Case Report In A Partial-Thickness Burns Pediatric Patient, Bhahat Lawlley Zimba, Dennis Mtunduwatha, David Hara, Mukondwedi Mchazime, Aaron Stima, Mwemezi Rwiza, Elingarami Sauli Jan 2025

Clinical Application Of Chambo Tilapia Fish Skin Xenograft For Skin Tissue Regeneration: A Case Report In A Partial-Thickness Burns Pediatric Patient, Bhahat Lawlley Zimba, Dennis Mtunduwatha, David Hara, Mukondwedi Mchazime, Aaron Stima, Mwemezi Rwiza, Elingarami Sauli

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WHO reports that burns account for more than 180,000 deaths annually with the majority of cases coming from low and middle-income countries due to limited resources in the management of burns. Currently, burns are being treated using silver sulphadiazine and gauze dressings, but this method has demonstrated to have some shortfalls. Alternative methods are being researched to find a better treatment modality with a faster healing duration. This case report describes the novel application of Chambo tilapia (Oreochromis lidole) fish skin xenograft in the treatment of partial thickness burns in a patient. The research was conducted on a 5-year-old female …

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A National Survey Of Gendered Grouping Practices In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney Jan 2025

A National Survey Of Gendered Grouping Practices In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney

Research outputs 2022 to 2026

Background: Gendered grouping practices and curriculum provision are matters of long-standing contention and debate in physical education (PE) policy, research, and practice internationally. In England, there is a long tradition of single-sex grouping in PE in secondary schools, with accompanying gendered patterns of staffing and many boys and girls taught different activities in the curriculum. Research on the incidence of single- and mixed-sex grouping in PE is however scarce, dated, and limited in scale. At a time when education, sport, and society are challenged to move beyond binary discourses and critically review structures and practices that uphold stereotypical and established …

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Community Perspectives On Spinal Cord Injury In Rugby Union: Facts And Fears, Nicole Merrick, Marelise Badenhorst, Ashlee Morgan, Lauren Fortington Jan 2025

Community Perspectives On Spinal Cord Injury In Rugby Union: Facts And Fears, Nicole Merrick, Marelise Badenhorst, Ashlee Morgan, Lauren Fortington

Research outputs 2022 to 2026

Introduction: The sport of rugby union, henceforth rugby, is associated with a risk of spinal cord injury (SCI). Perceived risks can impact participation. Understanding community perspectives on rugby-related SCI may provide insight for addressing concerns around risk. The aim of this study was to explore community perspectives through social media discussion about SCI in rugby union. Methods: Posts about SCI in rugby union were identified using the advanced search function on Twitter. Data (content as original post, retweet, quote tweet and comments) were included if focused on Rugby Union and written in English. Inclusion dates (July 2018 to June 2019) …

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Effects Of Different Lengths And Doses Of Raw And Treated Sisal Fibers In The Cement Composite Material, Tsion Amsalu Fode, Yusufu Abeid Chande Jande, Young-Deuk Kim, Min-Gyu Ham, Jieun Lee, Thomas Kivevele, Nima Rahbar Jan 2025

Effects Of Different Lengths And Doses Of Raw And Treated Sisal Fibers In The Cement Composite Material, Tsion Amsalu Fode, Yusufu Abeid Chande Jande, Young-Deuk Kim, Min-Gyu Ham, Jieun Lee, Thomas Kivevele, Nima Rahbar

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Sisal fiber moisture sensitivity and degradation are treated by alkaline and pozzolanic methods, such as silica fume and kaolin surface coating. However, it is novel that the treatment of sisal fiber by calcined bentonite slurry can coat sisal fiber from moisture and protect it from cement hydration by consuming free lime and reducing cement matrix alkalinity. Therefore, the present study treated sisal fibers with calcined bentonite slurry and investigated the effect of using different lengths and doses of treated and raw sisal fibers in a mortar. The results indicate that the treatment of sisal fiber with bentonite slurry improved the …

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Assessing Environmental Performance Through Environmental Management Initiatives, Green Extrinsic And Intrinsic Motivation, And Resource Commitment In Malaysian Hotels, Ataul K. Patwary, S. Mostafa Rasoolimanesh, Roslizawati C. Aziz, Muhammad U. Ashraf, Md Mahmudul Alam, Shafique U. Rehman Jan 2025

Assessing Environmental Performance Through Environmental Management Initiatives, Green Extrinsic And Intrinsic Motivation, And Resource Commitment In Malaysian Hotels, Ataul K. Patwary, S. Mostafa Rasoolimanesh, Roslizawati C. Aziz, Muhammad U. Ashraf, Md Mahmudul Alam, Shafique U. Rehman

Research outputs 2022 to 2026

The level of dedication that an organization has toward the preservation of the natural environment is reflected in its environmental performance. This study evaluates the role of green extrinsic and intrinsic motivation and resource commitment on Malaysian hotel employees’ environmental performance. It also examines the mediating roles of green extrinsic and intrinsic motivation and resource commitment in the relationship between green management initiatives and hotel environmental performance. Data was collected from the Four- and five-star hotel employees and tested the models and hypotheses of this study by employing partial least squares-structural equation modeling. Green extrinsic and intrinsic motivation significantly influence …

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Antecedents Of Domestic Visitor’S Memorable Experiences And Gender Difference: A Heritage Tourism Context, Siamak Seyfi, S. M. Rasoolimanesh, Erose Sthapit, C. Michael Hall Jan 2025

Antecedents Of Domestic Visitor’S Memorable Experiences And Gender Difference: A Heritage Tourism Context, Siamak Seyfi, S. M. Rasoolimanesh, Erose Sthapit, C. Michael Hall

Research outputs 2022 to 2026

This study explores the interplay between visitor engagement, authenticity, and destination image in shaping memorable tourism experiences (MTE) within the realm of domestic heritage tourism, as well as the potential moderating role of gender in these relationships. Data were collected in the historic city of Kashan, Iran through a self-administered questionnaire and a combination of Partial Least Squares Structural Equation Modeling (PLS-SEM) and multi-group analysis was employed to test the hypotheses. The results strongly support the influence of visitor engagement, authenticity, and destination image on various dimensions of MTE. Additionally, noteworthy gender differences emerged, revealing that authenticity has a more …

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Scale Development For Measuring Sustainability Of Urban Destinations From The Perspectives Of Residents, Tourists, Businesses And Government, S. M. Rasoolimanesh, Shi Y. Chee, Atchara Salee Jan 2025

Scale Development For Measuring Sustainability Of Urban Destinations From The Perspectives Of Residents, Tourists, Businesses And Government, S. M. Rasoolimanesh, Shi Y. Chee, Atchara Salee

Research outputs 2022 to 2026

This study develops four subjective scales to measure a destination’s sustainability from the perspectives of residents, tourists, businesses and government agencies. Using the expert opinion survey, participants were asked to evaluate the initial list of indicators based on five aspects of sustainability, including economic, socio-cultural, environmental, political and technological sustainability for each stakeholder group. Then, the scales were validated using partial least squares - structural equation modeling (PLS-SEM) and confirmatory composite analysis (CCA). This article has a unique theoretical contribution by developing four scales to measure the sustainability of destinations from the perspective of four main stakeholders. Moreover, this article …

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An Hplc-Ms/Ms Method For The Quantification Of Heat Stress-Related Milk Metabolites In Milk From Holstein-Friesian Cross-Bred Cows In Tanzania, Vincent Habimana, A.S Nguluma, Z.C Nziku, C.C Ekine-Dzivenu, G Morota, R Mrode, S.W Chenyambuga Jan 2025

An Hplc-Ms/Ms Method For The Quantification Of Heat Stress-Related Milk Metabolites In Milk From Holstein-Friesian Cross-Bred Cows In Tanzania, Vincent Habimana, A.S Nguluma, Z.C Nziku, C.C Ekine-Dzivenu, G Morota, R Mrode, S.W Chenyambuga

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The main objective of this study was to develop and validate a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the determination and quantification of three metabolites in raw milk samples: creatinine, citrate, and β-hydroxybutyrate (3-BHB). The effect of the temperature-humidity index (THI) on the concentrations of these metabolites was also investigated. The study used 29 Holstein-Friesian × Tanzanian Shorthorn Zebu cross-bred cows of two genotypes from the Tanzania Livestock Research Institute in Tanga, Tanzania. The cows were in their second or third parity and their second or third month of lactation. Chromatographic separation of the three metabolites was performed …

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Alexithymia And Impulsivity In Combat Sports – A Tale Of Three Measures, Craig A. Harms, Oliver R. Barley Jan 2025

Alexithymia And Impulsivity In Combat Sports – A Tale Of Three Measures, Craig A. Harms, Oliver R. Barley

Research outputs 2022 to 2026

The purpose of this study was to compare the psychometric properties of two measures of alexithymia – the Toronto Alexithymia Scale (TAS-20) and the Perth Alexithymia Questionnaire (PAQ) – as well as the Barratt Impulsiveness Scale 11 measure of behavioural impulsivity because the psychometric properties of these scales have not been established in athletes. As part of a larger study, 298 participants completed an online survey that included the TAS-20, PAQ, and BIS 11, as well personal- (age and gender) and sport-specific (primary combat sport and level of competition) demographic measures. A unidimensional model was retained for the TAS-20. A …

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Industry 4.0 Digital Transformation And Opportunities For Supply Chain Resilience: A Comprehensive Review And A Strategic Roadmap, Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, Ming Lang Tseng, Davoud Nikbin, Ahmad A.A. Khanfar Jan 2025

Industry 4.0 Digital Transformation And Opportunities For Supply Chain Resilience: A Comprehensive Review And A Strategic Roadmap, Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, Ming Lang Tseng, Davoud Nikbin, Ahmad A.A. Khanfar

Research outputs 2022 to 2026

Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as …

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Teachers’ Understanding Of The Major Sources Of Self-Efficacy In Early Childhood, Dimity Franks, Lennie Barblett, Gillian Kirk Jan 2025

Teachers’ Understanding Of The Major Sources Of Self-Efficacy In Early Childhood, Dimity Franks, Lennie Barblett, Gillian Kirk

Research outputs 2022 to 2026

Self-efficacy has been associated with benefits to everyday life such as resilience to stress and adversity, healthy behaviours, improved performance, and academic achievement. Research into self-efficacy development is scarce in early childhood, yet self-efficacy is associated with numerous skills and competencies taught in the early years of school. A mixed-method approach was employed to explore early childhood teachers’ understanding of how self-efficacy developed in children. The study focussed on teachers of children in Kindergarten to Year 2 (K–2) in primary schools in Western Australia and was conducted in two phases. Initially, an online survey, answered by 74 K–2 teachers, was …

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