Search results for: fisheries support estimate
3341 Classification of Potential Biomarkers in Breast Cancer Using Artificial Intelligence Algorithms and Anthropometric Datasets
Authors: Aref Aasi, Sahar Ebrahimi Bajgani, Erfan Aasi
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Breast cancer (BC) continues to be the most frequent cancer in females and causes the highest number of cancer-related deaths in women worldwide. Inspired by recent advances in studying the relationship between different patient attributes and features and the disease, in this paper, we have tried to investigate the different classification methods for better diagnosis of BC in the early stages. In this regard, datasets from the University Hospital Centre of Coimbra were chosen, and different machine learning (ML)-based and neural network (NN) classifiers have been studied. For this purpose, we have selected favorable features among the nine provided attributes from the clinical dataset by using a random forest algorithm. This dataset consists of both healthy controls and BC patients, and it was noted that glucose, BMI, resistin, and age have the most importance, respectively. Moreover, we have analyzed these features with various ML-based classifier methods, including Decision Tree (DT), K-Nearest Neighbors (KNN), eXtreme Gradient Boosting (XGBoost), Logistic Regression (LR), Naive Bayes (NB), and Support Vector Machine (SVM) along with NN-based Multi-Layer Perceptron (MLP) classifier. The results revealed that among different techniques, the SVM and MLP classifiers have the most accuracy, with amounts of 96% and 92%, respectively. These results divulged that the adopted procedure could be used effectively for the classification of cancer cells, and also it encourages further experimental investigations with more collected data for other types of cancers.Keywords: breast cancer, diagnosis, machine learning, biomarker classification, neural network
Procedia PDF Downloads 1363340 Routing Medical Images with Tabu Search and Simulated Annealing: A Study on Quality of Service
Authors: Mejía M. Paula, Ramírez L. Leonardo, Puerta A. Gabriel
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In telemedicine, the image repository service is important to increase the accuracy of diagnostic support of medical personnel. This study makes comparison between two routing algorithms regarding the quality of service (QoS), to be able to analyze the optimal performance at the time of loading and/or downloading of medical images. This study focused on comparing the performance of Tabu Search with other heuristic and metaheuristic algorithms that improve QoS in telemedicine services in Colombia. For this, Tabu Search and Simulated Annealing heuristic algorithms are chosen for their high usability in this type of applications; the QoS is measured taking into account the following metrics: Delay, Throughput, Jitter and Latency. In addition, routing tests were carried out on ten images in digital image and communication in medicine (DICOM) format of 40 MB. These tests were carried out for ten minutes with different traffic conditions, reaching a total of 25 tests, from a server of Universidad Militar Nueva Granada (UMNG) in Bogotá-Colombia to a remote user in Universidad de Santiago de Chile (USACH) - Chile. The results show that Tabu search presents a better QoS performance compared to Simulated Annealing, managing to optimize the routing of medical images, a basic requirement to offer diagnostic images services in telemedicine.Keywords: medical image, QoS, simulated annealing, Tabu search, telemedicine
Procedia PDF Downloads 2193339 FisherONE: Employing Distinct Pedagogy through Technology Integration in Senior Secondary Education
Authors: J. Kontoleon, D.Gall, M.Pidskalny
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FisherONE offers a distinct pedagogic model for senior secondary education that integrates advanced technology to meet the learning needs of Year 11 and 12 students across Catholic schools in Queensland. As a fully online platform, FisherONE employs pedagogy that combines flexibility with personalized, data-driven learning. The model leverages tools like the MaxHub hybrid interactive system and AI-powered learning assistants to create tailored learning pathways that promote student autonomy and engagement. This paper examines FisherONE’s success in employing pedagogic strategies through technology. Initial findings suggest that students benefit from the blended approach of virtual assessments and real-time support, even as AI-assisted tools remain in the proof-of-concept phase. The study outlines how FisherONE plans to continue refining its educational methods to better serve students in distance learning environments, specifically in challenging subjects like physics. The integration of technology in FisherONE enhances the effectiveness of teaching and learning, addressing common challenges in online education by offering scalable, individualized learning experiences. This approach demonstrates the future potential of technology in education and the role it can play in fostering meaningful student outcomes.Keywords: AI-assisted learning, innovative pedagogy, personalized learning, senior education, technology in education
Procedia PDF Downloads 193338 An Internet of Things Smart Washroom Framework
Authors: Robin Ratnasingham, Maher Elshakankiri
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This research report will look at how to make a smart washroom to increase public hygiene and cleanliness. The system would use IoT devices to pick up various activities in the washroom and notify the appropriate stakeholders or devices to regulate the condition of the washroom. As more people are required to physically go back to the office or school, ensuring a clean and sanitized washroom is even more important now than before. It would help prevent virus outbreaks and safeguard the organization from shutdowns or slowdowns in their business. A framework of the suggested smart washroom was introduced to help reduce the chances of a virus outbreak. Most organizations outsource renovation or implementation to an external party. Using the smart washroom framework, we looked at vendors that provide smart washroom solutions. There are IoT vendors that cannot match the framework, and there are vendors that can support the framework design. This segment is a niche market, and most of the devices are similar in their basic functions. However, all the vendors have unique characteristics to give them a competitive advantage over the rest of the IoT washroom companies. Ultimately, the organization would need to decide if they want to add IoT devices to enable smart capability or renovate the washroom to create a fluid IoT smart washroom design. The report would introduce an IoT smart washroom framework to help organizations design a cohesive preventive measure network for the daily maintenance routine. The framework is designed to help understand how to manage washroom cleanliness more efficiently and to provide guidance in achieving this goal. The leading result is eliminating potential viral outbreaks that could jeopardize the organization.Keywords: IoT, smart washroom, public hygiene, cleanliness, virus outbreaks, safeguard
Procedia PDF Downloads 953337 The Beneficial Effects of Hydrotherapy for Recovery from Team Sport – A Meta-Analysis
Authors: Trevor R. Higgins
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To speed/enhance recovery from sport, cold water immersion (CWI) and contrast water therapy (CWT) have become common practice within the high-level team sport. Initially, research into CWI and CWT protocols and recovery was sparse; athletes relied solely upon an anecdotal support. However, an increase into recovery research has occurred. A number of reviews have subsequently been conducted to clarify scientific evidence. However, as the nature of physiological stress and training status of participants will impact on results, an opportunity existed to narrow the focus to a more exacting review evaluating hydrotherapy for recovery in a team sport. A Boolean logic [AND] keyword search of databases was conducted: SPORTDiscus; AMED; CINAHL; MEDLINE. Data was extracted and the standardized mean differences were calculated with 95% CI. The analysis of pooled data was conducted using a random-effect model, with Heterogeneity assessed using I2. 23 peer reviewed papers (n=606) met the criteria. Meta-analyses results indicated CWI was likely beneficial for recovery at 24h (Countermovement Jump (CMJ): p= 0.05, CI -0.004 to 0.578; All-out sprint: p=0.02, -0.056 to 0.801; DOMS: p=0.08, CI -0.092 to 1.936) and at 72h (accumulated sprinting: p=0.07, CI -0.062 to 1.209; DOMS: p=0.09, CI -0.121 to 1.555) following team sport. Whereas CWT was likely beneficial for recovery at 1h (CMJ: p= 0.07, CI -0.004 to 0.863) and at 48h (fatigue: p=0.04, CI 0.013 to 0.942) following team sport. Athlete’s perceptions of muscle soreness and fatigue are enhanced with CWI and/or CWT, however even though CWI and CWT were beneficial in attenuating decrements in neuromuscular performance 24 hours following team sport, indications are those benefits were no longer Sydney evident 48 hours following team sport.Keywords: cold water immersion, contrast water therapy, recovery, team sport
Procedia PDF Downloads 5073336 Coping Life with Female Autistic and Cerebral Palsy Teenagers: Stress Developed by Parental Care in Ghana
Authors: Edwina Owusu Panin, Derrick Antwi
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Autism and cerebral palsy are fraternal twins in the world of communication and social interaction challenges. Caring for autistic and cerebral palsied female teenagers in Ghana can be difficult and stressful for parents. We highlight the findings of dealing with stress, where female teenagers are more daunting than male teenagers, related to the demand for a lot of attention linked to the puberty transition. This brief examines the challenges that parents face in caring for teenagers with autism and cerebral palsy in Ghana and the stress that can develop from parental care. The article also highlights the importance of identifying and addressing mental health and self-care issues in parents of disabled female teenagers, as these issues can significantly affect the well-being of both parents and their children. Parents of teenagers with disabilities often face a variety of challenges, including managing their children's care and medical needs, navigating the educational system, and addressing social and emotional needs. These challenges can be even more disheartening in Ghana, where resources and support for families of children with disabilities are limited. In a nutshell, the challenges of caring for female teenagers with autism and cerebral palsy can be significant in Ghana. The article outlines methods that parents in Ghana can take to manage their stress and provide a brighter future for their female teenagers. Parents are better able to cope with the challenges of parenting and provide the best care possible for their female teenagers with disabilities.Keywords: autism, cerebral palsy, female teenagers, parental care
Procedia PDF Downloads 883335 Monitoring of Rice Phenology and Agricultural Practices from Sentinel 2 Images
Authors: D. Courault, L. Hossard, V. Demarez, E. Ndikumana, D. Ho Tong Minh, N. Baghdadi, F. Ruget
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In the global change context, efficient management of the available resources has become one of the most important topics, particularly for sustainable crop development. Timely assessment with high precision is crucial for water resource and pest management. Rice cultivated in Southern France in the Camargue region must face a challenge, reduction of the soil salinity by flooding and at the same time reduce the number of herbicides impacting negatively the environment. This context has lead farmers to diversify crop rotation and their agricultural practices. The objective of this study was to evaluate this crop diversity both in crop systems and in agricultural practices applied to rice paddy in order to quantify the impact on the environment and on the crop production. The proposed method is based on the combined use of crop models and multispectral data acquired from the recent Sentinel 2 satellite sensors launched by the European Space Agency (ESA) within the homework of the Copernicus program. More than 40 images at fine spatial resolution (10m in the optical range) were processed for 2016 and 2017 (with a revisit time of 5 days) to map crop types using random forest method and to estimate biophysical variables (LAI) retrieved by inversion of the PROSAIL canopy radiative transfer model. Thanks to the high revisit time of Sentinel 2 data, it was possible to monitor the soil labor before flooding and the second sowing made by some farmers to better control weeds. The temporal trajectories of remote sensing data were analyzed for various rice cultivars for defining the main parameters describing the phenological stages useful to calibrate two crop models (STICS and SAFY). Results were compared to surveys conducted with 10 farms. A large variability of LAI has been observed at farm scale (up to 2-3m²/m²) which induced a significant variability in the yields simulated (up to 2 ton/ha). Observations on more than 300 fields have also been collected on land use. Various maps were elaborated, land use, LAI, flooding and sowing, and harvest dates. All these maps allow proposing a new typology to classify these paddy crop systems. Key phenological dates can be estimated from inverse procedures and were validated against ground surveys. The proposed approach allowed to compare the years and to detect anomalies. The methods proposed here can be applied at different crops in various contexts and confirm the potential of remote sensing acquired at fine resolution such as the Sentinel2 system for agriculture applications and environment monitoring. This study was supported by the French national center of spatial studies (CNES, funded by the TOSCA).Keywords: agricultural practices, remote sensing, rice, yield
Procedia PDF Downloads 2743334 Use of Technology Based Intervention for Continuous Professional Development of Teachers in Pakistan
Authors: Rabia Aslam
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Overwhelming evidence from all around the world suggests that high-quality teacher professional development facilitates the improvement of teaching practices which in turn could improve student learning outcomes. The new Continuous Professional Development (CPD) model for primary school teachers in Punjab uses a blended approach in which pedagogical content knowledge is delivered through technology (high-quality instructional videos and lesson plans delivered to school tablets or mobile phones) with face-to-face support by Assistant Education Officers (AEOs). The model also develops Communities of Practice operationalized through formal meetings led by the AEOs and informal interactions through social media groups to provide opportunities for teachers to engage with each other and share their ideas, reflect on learning, and come up with solutions to issues they experience. Using Kirkpatrick’s 4 levels of the learning evaluation model, this paper investigates how school tablets and teacher mobile phones may act as transformational cultural tools to potentially expand perceptions and access to teaching and learning resources and explore some of the affordances of social media (Facebook, WhatsApp groups) in learning in an informal context. The results will be used to inform policy-level decisions on what shape could CPD of all teachers take in the context of a developing country like Pakistan.Keywords: CPD, teaching & learning, blended learning, learning technologies
Procedia PDF Downloads 843333 Computational Approaches to Study Lineage Plasticity in Human Pancreatic Ductal Adenocarcinoma
Authors: Almudena Espin Perez, Tyler Risom, Carl Pelz, Isabel English, Robert M. Angelo, Rosalie Sears, Andrew J. Gentles
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Pancreatic ductal adenocarcinoma (PDAC) is one of the most deadly malignancies. The role of the tumor microenvironment (TME) is gaining significant attention in cancer research. Despite ongoing efforts, the nature of the interactions between tumors, immune cells, and stromal cells remains poorly understood. The cell-intrinsic properties that govern cell lineage plasticity in PDAC and extrinsic influences of immune populations require technically challenging approaches due to the inherently heterogeneous nature of PDAC. Understanding the cell lineage plasticity of PDAC will improve the development of novel strategies that could be translated to the clinic. Members of the team have demonstrated that the acquisition of ductal to neuroendocrine lineage plasticity in PDAC confers therapeutic resistance and is a biomarker of poor outcomes in patients. Our approach combines computational methods for deconvolving bulk transcriptomic cancer data using CIBERSORTx and high-throughput single-cell imaging using Multiplexed Ion Beam Imaging (MIBI) to study lineage plasticity in PDAC and its relationship to the infiltrating immune system. The CIBERSORTx algorithm uses signature matrices from immune cells and stroma from sorted and single-cell data in order to 1) infer the fractions of different immune cell types and stromal cells in bulked gene expression data and 2) impute a representative transcriptome profile for each cell type. We studied a unique set of 300 genomically well-characterized primary PDAC samples with rich clinical annotation. We deconvolved the PDAC transcriptome profiles using CIBERSORTx, leveraging publicly available single-cell RNA-seq data from normal pancreatic tissue and PDAC to estimate cell type proportions in PDAC, and digitally reconstruct cell-specific transcriptional profiles from our study dataset. We built signature matrices and optimized by simulations and comparison to ground truth data. We identified cell-type-specific transcriptional programs that contribute to cancer cell lineage plasticity, especially in the ductal compartment. We also studied cell differentiation hierarchies using CytoTRACE and predict cell lineage trajectories for acinar and ductal cells that we believe are pinpointing relevant information on PDAC progression. Collaborators (Angelo lab, Stanford University) has led the development of the Multiplexed Ion Beam Imaging (MIBI) platform for spatial proteomics. We will use in the very near future MIBI from tissue microarray of 40 PDAC samples to understand the spatial relationship between cancer cell lineage plasticity and stromal cells focused on infiltrating immune cells, using the relevant markers of PDAC plasticity identified from the RNA-seq analysis.Keywords: deconvolution, imaging, microenvironment, PDAC
Procedia PDF Downloads 1283332 Board Composition and Performance of Listed Deposit Money Banks in Nigeria
Authors: Mary David, Denis Basila
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This study assessed the Impact of Board Composition on the Performance of Listed Deposit Money Banks in Nigeria. A sample of ten (10) deposit money banks formed the sample of this study. Board size, gender diversity, and board independence were used as the independent variables, and firm size as a control variable, whiles the bank performance was proxy with Tobin’s Q (TQ) as the dependent variable. Secondary data was collected from secondary source through the annual report and account of the banks and was analyzed through the support of STATA 14 versions. Descriptive statistics, correlation matrix, and OLS multiple regression model were adopted for the study. Breusch and pagan lagrangian multiplier test for random effect was conducted. The findings of the study reveal that board size has positive and significant impact on Tobin’s Q, gender diversity has positive and significant impact on Tobin’s Q, while board independent had a negative and nonsignificant influence on the Tobin’s Q, Similarly, firm size was found to have a negative and nonsignificant impact on Tobin’s Q of the study banks. This study recommended that policy makers, stakeholders, and corporate managers of deposit money banks of Nigeria and related industries are encouraged to adopt board sizes and gender diversity that impact positively on bank performance.Keywords: board composition, performance, deposit money banks, nigeria
Procedia PDF Downloads 733331 Resilient Manufacturing in Times of Mass Customisation: Using Augmented Reality to Improve Training and Operating Practices of EV’s Battery Assembly
Authors: Lorena Caires Moreira, Marcos Kauffman
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This paper outlines the results of experimental research on deploying an emerging augmented reality (AR) system for real-time task assistance of highly customized and high-risk manual operations. The focus is on operators’ training capabilities and the aim is to test if such technologies can support achieving higher levels of knowledge retention and accuracy of task execution to improve health and safety (H and S) levels. The proposed solution is tested and validated using a real-world case study of electric vehicles’ battery module assembly. The experimental results revealed that the proposed AR method improved the training practices by increasing the knowledge retention levels from 40% to 84% and improved the accuracy of task execution from 20% to 71%, compared to the traditional paper-based method. The results of this research can be used as a demonstration of how emerging technologies are advancing the choice of manual, hybrid, or fully automated processes by promoting the connected worker (Industry 5.0) and supporting manufacturing in becoming more resilient in times of constant market changes.Keywords: augmented reality, extended reality, connected worker, XR-assisted operator, manual assembly, industry 5.0, smart training, battery assembly
Procedia PDF Downloads 1283330 Drop-Out Rate in Leocadio Alejo Entienza High School for SY 2013-2014: Its Causes and Interventions
Authors: Raquel Balon Quintana
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This study aims to help the Students-At-Risk of Dropping Out to finish their studies in their grade/year level category for this school year by finding out students’ behavior in and out the school, community involvement in the learning process and the causes or reasons behind drop-out rate that affect the performance level of the school. This study also looked for the intervention measures to reduce the drop-out rate of the school. The Normative Survey Method of research was used to achieve its purpose and objective of conducting interview with students and their parents, subject teachers, classmates and friends; undertaking observation and monitoring to find out the whereabouts of SARDO’s on and off classes hours; using questionnaires; and conducting home visitation to be able to link the community involvement into dropping-out of student. Results of the study revealed that out of 32 Students-At-Risk of Dropping Out, 50% were over age for high school (16 years old to 21 years old) while the other 50% came from the regular high school students. These 16 students came from the 41 students who dropped-out from their classes last school year. All Students-At-Risk of Dropping-Out are single and seventy-eight percent of them are male. Top five (5) among the factors that affect their school performance were peer pressure, self-drive, malnutrition, family problem/support and truancy. The five (5) least factors that affect their schooling were problems within their community, school-administration factor, harassment, teacher factor and distance from the school.Keywords: students-at-risk of dropping-out, drop-out rate, Leocadio Alejo Entienza High School, Philippines
Procedia PDF Downloads 5623329 Comparison of Sediment Rating Curve and Artificial Neural Network in Simulation of Suspended Sediment Load
Authors: Ahmad Saadiq, Neeraj Sahu
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Sediment, which comprises of solid particles of mineral and organic material are transported by water. In river systems, the amount of sediment transported is controlled by both the transport capacity of the flow and the supply of sediment. The transport of sediment in rivers is important with respect to pollution, channel navigability, reservoir ageing, hydroelectric equipment longevity, fish habitat, river aesthetics and scientific interests. The sediment load transported in a river is a very complex hydrological phenomenon. Hence, sediment transport has attracted the attention of engineers from various aspects, and different methods have been used for its estimation. So, several experimental equations have been submitted by experts. Though the results of these methods have considerable differences with each other and with experimental observations, because the sediment measures have some limits, these equations can be used in estimating sediment load. In this present study, two black box models namely, an SRC (Sediment Rating Curve) and ANN (Artificial Neural Network) are used in the simulation of the suspended sediment load. The study is carried out for Seonath subbasin. Seonath is the biggest tributary of Mahanadi river, and it carries a vast amount of sediment. The data is collected for Jondhra hydrological observation station from India-WRIS (Water Resources Information System) and IMD (Indian Meteorological Department). These data include the discharge, sediment concentration and rainfall for 10 years. In this study, sediment load is estimated from the input parameters (discharge, rainfall, and past sediment) in various combination of simulations. A sediment rating curve used the water discharge to estimate the sediment concentration. This estimated sediment concentration is converted to sediment load. Likewise, for the application of these data in ANN, they are normalised first and then fed in various combinations to yield the sediment load. RMSE (root mean square error) and R² (coefficient of determination) between the observed load and the estimated load are used as evaluating criteria. For an ideal model, RMSE is zero and R² is 1. However, as the models used in this study are black box models, they don’t carry the exact representation of the factors which causes sedimentation. Hence, a model which gives the lowest RMSE and highest R² is the best model in this study. The lowest values of RMSE (based on normalised data) for sediment rating curve, feed forward back propagation, cascade forward back propagation and neural network fitting are 0.043425, 0.00679781, 0.0050089 and 0.0043727 respectively. The corresponding values of R² are 0.8258, 0.9941, 0.9968 and 0.9976. This implies that a neural network fitting model is superior to the other models used in this study. However, a drawback of neural network fitting is that it produces few negative estimates, which is not at all tolerable in the field of estimation of sediment load, and hence this model can’t be crowned as the best model among others, based on this study. A cascade forward back propagation produces results much closer to a neural network model and hence this model is the best model based on the present study.Keywords: artificial neural network, Root mean squared error, sediment, sediment rating curve
Procedia PDF Downloads 3253328 Gender Inequality and Human Trafficking
Authors: Kimberly McCabe
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The trafficking of women and children for abuse and exploitation is not a new problem under the umbrella of human trafficking; however, over the last decade, the problem has attracted increased attention from international governments and non-profits attempting to reduce victimization and provide services for survivors. Research on human trafficking suggests that the trafficking of human beings is, largely, a symptom of poverty. As the trafficking of human beings may be viewed as a response to the demand for people for various forms of exploitation, a product of poverty, and a consequence of the subordinate positions of women and children in society, it reaches beyond randomized victimization. Hence, human trafficking, and especially the trafficking of women and children, goes beyond the realm of poorness. Therefore, to begin to understand the reasons for the existence of human trafficking, one must identify and consider not only the immediate causes but also those underlying structural determinants that facilitate this form of victimization. Specifically, one must acknowledge the economic, social, and cultural factors that support human trafficking. This research attempts to study human trafficking at the country level by focusing on economic, social, and cultural characteristics. This study focuses on inequality and, in particular, gender inequality as related to legislative attempts to address human trafficking. Within the design of this project is the use of the US State Department’s tier classification system for Trafficking in Persons (TIP) and the USA CIA Fact Sheet of country characteristics for over 150 countries in an attempt to model legal outcomes as related to human trafficking. Results of this research demonstrate the significance of characteristics beyond poverty as related to country-level responses to human trafficking.Keywords: child trafficking, gender inequality, human trafficking, inequality
Procedia PDF Downloads 2413327 Gender and Religion: The Organization and Recognition of Buddhist Nuns in Taiwan
Authors: Meilee Shen
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Buddhist nuns in Taiwan have shouldered various responsibilities in educational, cultural, economic, and social aspects that transforms and transcends Chinese Buddhism to a higher level in Taiwan and overseas. In the recent years, Nuns in Taiwan have formed various associations to reach their goals and satisfy their needs. This research will focus on the following: 1. How to distinguish a Buddhist organization from temple? 2. Whether the forming of female Buddhist organizations reveals religious purpose or gender conflict in Buddhism? 3. How can nuns in Taiwan be unified together to establish their identification? This paper will mainly study on the Chinese Buddhist Bhikkhuni Association (CBBA) because they have gained allies together to work for religious causes and social needs since 1996. However, with a mission to promote female practitioners’ role in Buddhist circle, CBBA did not contribute much to the gender issue in Buddhism. The research found that CBBA did not achieve their goal to unite nuns in Taiwan because they failed to support nuns' education and did not recruit young and highly educated ones as CBBA's faculties. In conclusion, the research suggests i) to connect with other Buddhist organizations in order to achieve the dream of unity, ii) to fill the generation gap by overturn hierarchical system in Buddhist community and create a new environment for new generation to grow, iii) to shift financial contribution from social charity to nuns’ education to promote female role in Buddhism in the future.Keywords: Bhikkhuni in Taiwan, Bhikkhuni population and education, Buddhism in Taiwan, Chinese Buddhist Bhikkhuni Association
Procedia PDF Downloads 2053326 The Utilization of Rain Water to Ground Water with Tube in the Area of Tourism in Yogyakarta
Authors: Kurniawan Agung Pambudi, Alfian Deo Pradipta
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Yogyakarta is the famous tourism city in Indonesia. The Tugu Jogja is a tourism center located in Jetis. To support the tourism activities required facilities such as tourist hotel and guest house. The existence of tourism also has an impact on the environment. The surface of the land is covered by cement and a local company dealing in ceramics, then an infiltration process is not running. The existence of the building in layers resulting in the amount of water resource in Jetis decreases. The purpose of this research is to know the impact of the construction of the building in layers in Jetis. To obtain the data done by observation, measurements and taking the land profile, along with the interview to people in Jetis. The results of the study showed that the number of water sources in Jetis, Yogyakarta start decreases as a result of the construction of the building on stilts as a result, the height of the surface of the groundwater decreases and digging a pit must be in to get the source of the waters. Based on the results of research it can be concluded that the height of the surface of the groundwater decreases. To resolve the issue required a method to rainwater can seep into the ground for maximum. The rain that fell upon the precarious houses or other buildings is channeled toward the ground through the tubes with the depth of 1-2 meters. Rainwater will be absorbed into the land and increase the amount of ground water.Keywords: rain water, tube, water resource, groundwater
Procedia PDF Downloads 2233325 Extended Literature Review on Sustainable Energy by Using Multi-Criteria Decision Making Techniques
Authors: Koray Altintas, Ozalp Vayvay
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Increased global issues such as depletion of sources, environmental problems and social inequality triggered public awareness towards finding sustainable solutions in order to ensure the well-being of the current as well as future generations. Since energy plays a significant role in improved social and economic well-being and is imperative on both industrial and commercial wealth creation, it is a must to develop a standardized set of metrics which makes it possible to indicate the present condition relative to conditions in the past and to develop any perspective which is required to frame actions for the future. This is not an easy task by considering the complexity of the issue which requires integrating economic, environmental and social aspects of sustainable energy. Multi-criteria decision making (MCDM) can be considered as a form of integrated sustainability evaluation and a decision support approach that can be used to solve complex problems featuring; conflicting objectives, different forms of data and information, multi-interests and perspectives. On that matter, MCDM methods are useful for providing solutions to complex energy management problems. The aim of this study is to review MCDM approaches that can be used for examining sustainable energy management. This study presents an insight into MCDM techniques and methods that can be useful for engineers, researchers and policy makers working in the energy sector.Keywords: sustainable energy, sustainability criteria, multi-criteria decision making, sustainability dimensions
Procedia PDF Downloads 3303324 Examining the Drivers of Sustainable Consumer Behavioural Intention in the Irish Aviation Industry
Authors: Amy Whelan
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This paper presents the reader with the overarching research topic: Examining the drivers to sustainable consumer behavioural intention in the Irish aviation industry. This research will examine the underlying factors that facilitate or hinder a consumer’s sustainable consumption pertaining to aviation, in order to advance the Sustainable Development Goals (SDG’s). The SDG’s were adopted by all United Nations Member States in 2015 as a call to end poverty, to protect the planet and to ensure that all people enjoy peace and prosperity by the year 2030. Consumers are becoming increasingly concerned about environmental, social and economic issues, and are willing to act on those concerns. More recently, the impact of a consumers environmental footprint has led consumers to re-evaluate their purchase habits and in some cases consumers are more willing to spend more on products and services with environmental characteristics. Accordingly, this has pushed businesses to re-examine their sustainable efforts. However, although consumers may feel a moral responsibility to live sustainably, they cannot do so without effective support from governments, NGOs and the businesses with which they interact. Through the use of Ajzen’s amended TPB model, this research seeks to understand consumers attitudes and behavioural intention towards sustainable aviation and travel and examine the attitude-behaviour gap in sustainable tourism and aviation in Ireland. This research is a mixed methods study and will include an initial elicitation study in the form of focus groups supported by a quantitative survey to inform the initial findings of this research.Keywords: aviation, consumer behaviour, marketing, sustainability
Procedia PDF Downloads 863323 Contribution of Women to Post-Colonial Education and Leadership
Authors: Naziema Begum Jappie
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This paper explores the relationship between educational transformation and gender equity in higher education. It draws on various policies and experiences and investigates the paradox of increased female leadership in higher education and the persistence of gender discrimination in the sphere of work. The paper will also address specific aspects of culture and education in post-colonial South Africa. Traditional features of past education systems were not isolated, they became an essential component of the education system, post-democracy. This is currently contested through the call for decolonizing the education system. The debates and discussions seek to rectify the post-colonial education structure within which women suffered triple oppression. Using feminist critical policy analysis and post-colonial theory, the paper examines how transformation over the past two decades has impacted on gender equity and how educational reform is itself gendered. It considers the nature of gender restructuring and key developments in gender equity policy. The social inequality in education is highlighted throughout this discussion. Through an analysis of research and interviews, this paper argues that gender can no longer be privileged when identifying and responding to educational and workplace inequality. In conclusion, the paper discusses the important assumptions that support how social and educational change deliver equity and how social justice may inform equity policy and practice in a culturally diverse educational framework.Keywords: culture, educational leadership, gender inequality in the workplace, policy implementation
Procedia PDF Downloads 2733322 Movie Genre Preference Prediction Using Machine Learning for Customer-Based Information
Authors: Haifeng Wang, Haili Zhang
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Most movie recommendation systems have been developed for customers to find items of interest. This work introduces a predictive model usable by small and medium-sized enterprises (SMEs) who are in need of a data-based and analytical approach to stock proper movies for local audiences and retain more customers. We used classification models to extract features from thousands of customers’ demographic, behavioral and social information to predict their movie genre preference. In the implementation, a Gaussian kernel support vector machine (SVM) classification model and a logistic regression model were established to extract features from sample data and their test error-in-sample were compared. Comparison of error-out-sample was also made under different Vapnik–Chervonenkis (VC) dimensions in the machine learning algorithm to find and prevent overfitting. Gaussian kernel SVM prediction model can correctly predict movie genre preferences in 85% of positive cases. The accuracy of the algorithm increased to 93% with a smaller VC dimension and less overfitting. These findings advance our understanding of how to use machine learning approach to predict customers’ preferences with a small data set and design prediction tools for these enterprises.Keywords: computational social science, movie preference, machine learning, SVM
Procedia PDF Downloads 2603321 Synthesis of Beetosan's Hydrogels with Yellow Tea
Authors: Jolanta Jaskowska, Anna Drabczyk, Sonia Kudlacik, Agnieszka Sobczak-Kupiec, Bozena Tyliszczak
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The aim of the study was to select the best conditions for the synthesis of Beetosan's hydrogels with yellow tea. The study determined recipe hydrogel matrix by selecting the appropriate ratio of substrates and to investigate the effect of yellow tea, on the structure and properties of the hydrogel materials. The scope of the research included both to obtain of raw materials required for the synthesis of hydrogel materials, as well as an assessment of their properties. In the first stage of research Beetosan (chitosan derived from bees), and extract the yellow tea China Kekecha was obtained. The second stage was synthesis hydrogels modified by yellow tea. The synthesis of polymeric matrix was preparation under UV radiation. Obtained hydrogel materials were investigated extensively using incubation investigations, absorption capacity, and spectroscopic (FT-IR) and X-ray diffraction (XRD) methods. Moreover, there was also performed the surface wettability test and a photomicrograph of the structure using scanning electron microscope. Analysis of the obtained results confirms that presence of yellow tea does not significantly affect the behavior of the hydrogels in the incubation fluids. The results show that hydrogel materials exhibit compatibility with the incubatory solutions and they also retain the stability in the tested liquids. Hydrogels obtained in this method might be applied in the cosmetics industry and in the field of medicine. This is possible due to the many interesting properties of tea and biocompatibility and non-toxicity hydrogel materials. The authors would like to thank the The National Centre for Research and Development (Grant no: LIDER/033/697/L-5/13/NCBR/2014) for providing financial support to this project.Keywords: Beetosan, hygrogels, materials, yellow tea
Procedia PDF Downloads 2753320 Impact of Financial Inclusion on Gender Inequality: An Empirical Examination
Authors: Sumanta Kumar Saha, Jie Qin
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This study analyzes the impact of financial inclusion on gender inequality in 126 countries belonging to different income groups during the 2005–2019 period. Due to its positive influence on poverty alleviation, economic growth, women empowerment, and income inequality reduction, financial inclusion may help reduce gender equality. This study constructs a novel composite financial inclusion index and applies both fixed-effect panel estimation and instrumental variable approach to examine the impact of financial inclusion on gender inequality. The results indicate that financial inclusion can reduce gender inequality in developing and low- and lower-middle-income countries, but not in higher-income countries. The impact is not always immediate. Past financial inclusion initiatives have a significant influence on future gender inequality. Financial inclusion is also significant if the poverty level is high and women's access to financial services is low compared to men. When the poverty level is low, or women have equal access to financial services, financial inclusion does not significantly affect gender inequality. The study finds that compulsory education and improvement in institutional quality promote gender equality in developing countries apart from financial inclusion. The study proposes that lower-income countries use financial inclusion initiatives to improve gender equality. Other countries need to focus on other aspects such as promoting educational support and institutional quality improvements to achieve gender equality.Keywords: financial inclusion, gender inequality, institutional quality, women empowerment
Procedia PDF Downloads 1293319 Wine Tourism in Rural Russia: Perceptions of Vineyard Managers
Authors: Jeremy Schultz
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The purpose of this study was to understand the perceptions of vineyard managers in the Krasnodar Region of Southern Russia located between the city of Kransnodar and the Black Sea. In recent years, wine tourism throughout the region has seen tremendous growth due in part to the concurrent growth in the number of tourists vacationing at the Black Sea. This trend has contributed to the development of large-scale wine operations developing in numerous rural locations along the tourists’ travel path. Niche areas of tourism, such as wine tourism, have proven to provide economic viability for rural communities all around the world. Understanding their shared group characteristics while honoring their unique qualities as individuals aids in responsible wine tourism development that provides a sense of well-being for the communities and stakeholders involved. Semi-structured interviews and lived experience methodologies were used in locations that were associated with wine food tourism operations. By understanding management perspectives, it lends insight into sustainable destination management and wine tourism product development, furthering our progress toward ethical, responsible, and financially feasible operations. This research also represents a collaborative effort between Russia and the United States that supports an agenda of sustainable destination development and management. As a global community, we need to continue to investigate stakeholder perceptions and strategic management techniques that best support the pillars upon which responsible tourism was founded.Keywords: wine tourism, tourism development, Russia, rural tourism
Procedia PDF Downloads 1363318 Transnational Higher Education: Developing a Transnational Student Success Signature for Clinical Medical Students an Action Research Project
Authors: Wendy Maddison
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This paper describes an Action Research project which was undertaken to inform professional practice in order to develop a newly created Centre for Student Success in the specific context of transnational medical and nursing education in the Middle East. The objectives were to enhance the academic performance, persistence, integration and personal and professional development of a multinational study body, in particular in relation to preclinical medical students, and to establish a comfortable, friendly and student-driven environment within an Irish medical university recently established in Bahrain. Expatriating a new part of itself into a corner of the world and within a context which could be perceived as the antithesis of itself, in particular in terms of traditional cultural and organisational values, the university has had to innovate in the range of services, programmes and other offerings which engages and supports the academic success of medical and nursing students as they “encounter the world in the classroom” in the context of an Arab Islamic culture but within a European institution of transnational education, engaging with a global learning environment locally. The outcomes of the project resulted in the development of a specific student success ‘signature’ for this particular transnational higher education context.Keywords: transnational higher education, medical education, action research, student success, Middle Eastern context, student persistence in the global-local, student support mechanisms
Procedia PDF Downloads 6963317 Continuous Processing Approaches for Tunable Asymmetric Photochemical Synthesis
Authors: Amanda C. Evans
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Enabling technologies such as continuous processing (CP) approaches can provide the tools needed to control and manipulate reactivities and transform chemical reactions into micro-controlled in-flow processes. Traditional synthetic approaches can be radically transformed by the application of CP, facilitating the pairing of chemical methodologies with technologies from other disciplines. CP supports sustainable processes that controllably generate reaction specificity utilizing supramolecular interactions. Continuous photochemical processing is an emerging field of investigation. The use of light to drive chemical reactivity is not novel, but the controlled use of specific and tunable wavelengths of light to selectively generate molecular structure under continuous processing conditions is an innovative approach towards chemical synthesis. This investigation focuses on the use of circularly polarized (cp) light as a sustainable catalyst for the CP generation of asymmetric molecules. Chiral photolysis has already been achieved under batch, solid-phase conditions: using synchrotron-sourced cp light, asymmetric photolytic selectivities of up to 4.2% enantiomeric excess (e.e.) have been reported. In order to determine the optimal wavelengths to use for irradiation with cp light for any given molecular building block, CD and anisotropy spectra for each building block of interest have been generated in two different solvents (water, hexafluoroisopropanol) across a range of wavelengths (130-400 nm). These spectra are being used to support a series of CP experiments using cp light to generate enantioselectivity.Keywords: anisotropy, asymmetry, flow chemistry, active pharmaceutical ingredients
Procedia PDF Downloads 1573316 The Impact of Work-Related Crime on the Work Environment
Authors: Monica Kaltenbrunner
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Work-related crime has severe consequences for individual employees and society, and the problem has received widespread attention. For those who work where this type of criminality occurs, it can deteriorate the work environment. The purpose of the systematic literature review is to collate and enhance knowledge about work-related crime and its consequences for the work environment, primarily from an employee perspective. A comprehensive literature search was conducted in three databases, with the final search in May 2024. Grey literature was searched for on relevant websites. Only literature conducted in the EU, Norway, and Canada between 2013 and 2024 was included. Industries represented are land-based industry, hotel and restaurant, health and welfare/domestic work, construction, vehicles and transport, and cleaning. The literature review includes 39 publications, of which 33 are scientific studies. The results show that both men and women work in a work-related crime setting, most from Central and Eastern Europe, Asia, Africa, and South America. The results demonstrate that, regardless of workers’ gender or industry, workers are being exploited. Their work environment is characterized by high demand, low influence and low support. It is also common for the work environment to involve different risks, such as safety problems and risks of harassment and discrimination. This systematic literature review is one of few that focuses on the employee perspective on the work environment in workplaces where work-related crime occurs and collates existing research within the field.Keywords: occupational safety and health, undeclared work, migrant, exploitation
Procedia PDF Downloads 103315 How to Improve the Environmental Performance in a HEI in Mexico, an EEA Adaptation
Authors: Stephanie Aguirre Moreno, Jesús Everardo Olguín Tiznado, Claudia Camargo Wilson, Juan Andrés López Barreras
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This research work presents a proposal to evaluate the environmental performance of a Higher Education Institution (HEI) in Mexico in order to minimize their environmental impact. Given that public education has limited financial resources, it is necessary to conduct studies that support priorities in decision-making situations and thus obtain the best cost-benefit ratio of continuous improvement programs as part of the environmental management system implemented. The methodology employed, adapted from the Environmental Effect Analysis (EEA), weighs the environmental aspects identified in the environmental diagnosis by two characteristics. Number one, environmental priority through the perception of the stakeholders, compliance of legal requirements, and environmental impact of operations. Number two, the possibility of improvement, which depends of factors such as the exchange rate that will be made, the level of investment and the return time of it. The highest environmental priorities, or hot spots, identified in this evaluation were: electricity consumption, water consumption and recycling, and disposal of municipal solid waste. However, the possibility of improvement for the disposal of municipal solid waste is higher, followed by water consumption and recycling, in spite of having an equal possibility of improvement to the energy consumption, time of return and cost-benefit is much greater.Keywords: environmental performance, environmental priority, possibility of improvement, continuous improvement programs
Procedia PDF Downloads 4953314 Adaptation Experience of Russian-Speaking Immigrants in Canada
Authors: Uliana Morozovskaia
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Immigrants in any country undergo an acculturation process which, in other words, means adaptation to other cultures. It can be divided into four strategies: integration (when an immigrant support home and host culture and language), assimilation (supporting only host culture and language), separation (supporting only home culture and language), and marginalization (an immigrant has no interest in supporting none of the cultures or languages). Canada has experienced a rise in the number of Russian speakers who are immigrating to Canada in the last couple of years. Although there are some studies on Russian-speaking immigrants, a small percentage of them have been focusing on their immigration experience in Canada. This is why the present study aimed to analyze the acculturation experience that Russian-speaking immigrants have when they move to Canada. One hundred participants have been surveyed on SurveyMonkey. They have been asked to share their life experience and opinion about their adaptation process, self-identity in terms of language use and cultural feelings, language preferences, and others. The results showed that Russian-speaking immigrants can successfully adapt to Canadian culture and society, and many of them feel at home being in their host country. Interestingly, such feelings have appeared after they spent some years in Canada. The study also found out that after the immigration, participants were more likely to focus on Canada’s official languages (English and/or French). However, when they became comfortable with the lifestyle and the language, they switched their attention to Russian language maintenance and home culture preservation.Keywords: acculturation, Russian-speaking immigrants, adaptation, Canada, immigration, mother tongue preservation
Procedia PDF Downloads 923313 Framework for Aligning Supply Chain Strategies and Organizational Strategies in an SOE Environment
Authors: R. Setino, I. M. Ambe, J. A Badenhorst-Weiss
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The South African government supply chain management system is not adequately implemented in State Owned Enterprises (SOEs). There are weaknesses in the SOEs SCM enablers, strategies and policies. In addition, top management of SOEs still do not see SCM as strategic enough to deserve their attention, and therefore, there is very little support from top management, thus making it even difficult for SCM practitioners to execute their day to day functions, let alone delivering the letter and spirit of the relevant legislations. Supply chain strategies lack buy in from the top, and as a result senior SCM practitioners has not been involved in the corporate strategy. This has resulted in supply chain and corporate strategies being misaligned. Due to service delivery backlog, high level of corruption and continuous strikes across the country for better services it is inevitable that government leaders be more strategic about how South Africa can use SCM as a tool to improve service delivery. Consequently, there is a need to close the gap between the strategic level dealt by top management and the application of operational SCM concepts: the use of SCM concepts and, therefore, supply chain strategies – should be aligned with the corporate and business strategies in order to ensure the achievement of top level business objectives. This paper aims to explore supply chain practices in State Owned Enterprises (SOEs). The paper based on a conceptual review provides the status, trends and development and suggests a framework for aligning supply chain strategies and organizational strategies in an SOE environment.Keywords: alignment, strategies, state owned enterprises, supply chain management, South Africa
Procedia PDF Downloads 4213312 A Study on Design for Parallel Test Based on Embedded System
Authors: Zheng Sun, Weiwei Cui, Xiaodong Ma, Hongxin Jin, Dongpao Hong, Jinsong Yang, Jingyi Sun
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With the improvement of the performance and complexity of modern equipment, automatic test system (ATS) becomes widely used for condition monitoring and fault diagnosis. However, the conventional ATS mainly works in a serial mode, and lacks the ability of testing several equipments at the same time. That leads to low test efficiency and ATS redundancy. Especially for a large majority of equipment under test, the conventional ATS cannot meet the requirement of efficient testing. To reduce the support resource and increase test efficiency, we propose a method of design for the parallel test based on the embedded system in this paper. Firstly, we put forward the general framework of the parallel test system, and the system contains a central management system (CMS) and several distributed test subsystems (DTS). Then we give a detailed design of the system. For the hardware of the system, we use embedded architecture to design DTS. For the software of the system, we use test program set to improve the test adaption. By deploying the parallel test system, the time to test five devices is now equal to the time to test one device in the past. Compared with the conventional test system, the proposed test system reduces the size and improves testing efficiency. This is of great significance for equipment to be put into operation swiftly. Finally, we take an industrial control system as an example to verify the effectiveness of the proposed method. The result shows that the method is reasonable, and the efficiency is improved up to 500%.Keywords: parallel test, embedded system, automatic test system, automatic test system (ATS), central management system, central management system (CMS), distributed test subsystems, distributed test subsystems (DTS)
Procedia PDF Downloads 305