bluuebunny/crossref_metadata_2025 huggingface dataset:
Extrapolation is not enough: impacts of extreme land use change on wind profiles and wind energy according to regional climate models
Authors: Wohland Jan , Hoffmann Peter , Lima Daniela C. A. , Breil Marcus , Asselin Olivier , Rechid Diana
Published: November 2024

Abstract. Humans change climate in many ways. In addition to greenhouse gases, climate models must therefore incorporate a range of other forcings, such as land use change. While studies typically investigate the joint effects of all forcings, here we isolate the impact of afforestation and deforestation on winds in the lowermost 350 m of the atmosphere to assess the relevance of land use change for large-scale wind energy assessments. We use vertically resolved sub-daily output from two regional climate models instead of extrapolating near-surface winds with simplified profiles. Comparing two extreme scenarios, we report that afforestation reduces wind speeds by more than 1 m s−1 in many locations across Europe, even 300 m above ground, underscoring its relevance at hub heights of current and future wind turbines. We show that standard extrapolation with modified parameters approximates long-term means well but fails to capture essential spatio-temporal details, such as changes in the daily cycle, and it is thus insufficient to estimate wind energy potentials. Using adjacent climate model levels to account for spatio-temporal wind profile complexity, we report that wind energy capacity factors are strongly impacted by afforestation and deforestation: they differ by more than 0.1 in absolute terms and up to 50 % in relative terms. Our results confirm earlier studies showing that land use change impacts on wind energy can be severe and that they are generally misrepresented with common extrapolation techniques.
Dakar Niño under global warming investigated by a high-resolution regionally coupled model
Authors: Koseki Shunya , Vázquez Rubén , Cabos William , Gutiérrez Claudia , Sein Dmitry V. , Bachèlery Marie-Lou
Published: November 2024

Abstract. In this study, we investigated interannual variability in sea surface temperature (SST) along the northwestern African coast, focusing on strong Dakar Niño and Niña events and their potential alterations under the RCP8.5 emission scenario for global warming, using a high-resolution regional coupled model. Our model accurately reproduces the SST seasonal cycle along the northwestern African coast, including its interannual variability in terms of amplitude, timing, and the position of maximum variability. Comparing Dakar Niño variability between the 1980–2010 and 2069–2099 periods, we found that it intensifies under a warmer climate without changing its location and timing. The intensification is more pronounced during Dakar Niñas (cold SST events) than during Dakar Niños (warm SST events). In the future, SST variability will be correlated with ocean temperature and vertical motion at deeper layers. The increase in Dakar Niño variability can be explained by the larger variability in meridional wind stresses, which is likely to be amplified in the future by enhanced land–sea thermal contrast and associated sea-level-pressure anomalies extending from the Iberian Mediterranean area. A heat budget analysis of the mixed layer suggests that surface heat flux and horizontal-advection anomalies are comparably important for Dakar Niño and Niña events in the present climate. However, the future intensification of Dakar Niños and Niñas is likely to be driven by surface heat flux (latent heat flux and shortwave radiation). While horizontal- and vertical-advection anomalies also contribute to the intensification, their roles are secondary.
Snowmelt-mediated isotopic homogenization of shallow till soil
Authors: Muhic Filip , Ala-Aho Pertti , Sprenger Matthias , Klöve Björn , Marttila Hannu
Published: November 2024

Abstract. The hydrological cycle of sub-arctic areas is dominated by the snowmelt event. An understanding of the mechanisms that control water fluxes during high-volume infiltration events in sub-arctic till soils is needed to assess how future changes in the timing and magnitude of snowmelt can affect soil water storage dynamics. We conducted a tracer experiment in which deuterated water was used to irrigate a plot on a forested hilltop in Lapland, tracked water fluxes of different mobility and monitored how the later snowmelt modifies the labelled soil water storage. We used lysimeters and destructive soil coring for soil water sampling and monitored and sampled the groundwater. Large spatiotemporal variability between the waters of different mobility was observed in the subsurface, while surface water flow during the tracer experiment was largely controlled by a fill-and-spill mechanism. Extensive soil saturation induced the flow of labelled water into the roots of nearby trees. We found that labelled water remained in deeper soil layers over the winter, but the snowmelt event gradually displaced all deuterated water and fully homogenized all water fluxes at the soil–vegetation interface. The conditions required for the full displacement of the old soil water occur only during a snowmelt with a persistently high groundwater table. We propose a conceptual model where infiltration into the soil and eventual soil water replenishment occur in three stages. First, unsaturated macropore flow is initiated via the surface microtopography and is directed towards the groundwater storage. The second stage is characterized by groundwater rise through the macropore network, subsequent pore water saturation and increased horizontal connectivity of macropores. Shallow subsurface lateral fluxes develop in more permeable shallow soil layers. In the third stage, which materializes during a long period with a high groundwater table and high hydrological connectivity within the soil, the soil water is replenished via enhanced matrix flow and pore water exchange with the macropore network.
Detection of Onset of Melt and Freeze of Snow in the Upper Chenab Basin Using Remote Sensing Data
Authors: Santhosh Ardra , Garg Vaibhav , Thakur Praveen K.
Published: November 2024

Abstract. Snow cover and its changes play a significant role in influencing hydrological and climate processes. Each year, approximately one-third part of the land surface of earth undergoes seasonal snow coverage, highlighting its significant role as one of the most dynamic components of the cryosphere, alongside sea ice. In the cryosphere studies, identifying the onset and progression of snow accumulation and ablation is of utmost importance and critical significance. The present work highlights the importance of remote sensing (RS) data in detection and monitoring of melt and freeze of snow in different elevation zones in the Upper Chenab basin using synthetic aperture radar and albedo data along with temperature data . The detection of onset of melt and freeze of snow was carried out from 2015 to 2023. The optimal value for threshold was identified empirically by comparing air temperature time series data. The time series analysis of backscatter values and albedo values clearly depicts the melt and freeze of snow. As the surface air temperature increases above a particular value, there observed a consistent decrease in backscatter /albedo response. A short time delay in change in backscatter, albedo and temperature with the different elevation zones. As the temperature increases, the glacier starts melting and the water content increases, so the backscatter and albedo decreases and hence on the melting period the backscatter will be low and vice versa. Overall, the onset of melt of the snow will occur early in the lower elevation zone compared to the higher elevation zone. And the onset of freeze will occur early in the higher elevation zone compared to the lower elevation zone.
Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes
Authors: Soto Vega Pedro J. , Lobo Torres Daliana , Andrade-Miranda Gustavo X. , da Costa Gilson A. O. P. , Feitosa Raul Queiroz
Published: November 2024

Abstract. Deep Learning (DL) models, such as Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have become popular for change detection tasks, including the deforestation mapping application. However, not enough attention has been paid to the domain shift issue, which affects classification performance when pre-trained models are used in areas with different forest covers and deforestation practices. This study compares DL methods for deforestation detection, focusing on assessing how well CNNs and ViTs can adapt to the domain shift. Two different models, namely, DeepLabv3+ and UNETR, were trained using remote sensing images and references from a specific location and then tested in other sites to simulate real-world scenarios. The results showed that the ViT-based architecture achieved better performance when trained and tested in the same region but showed lower generalization capacity in cross-domain scenarios. We consider this a work in progress that needs further research to confirm its findings, with the evaluation of additional architectures on a wider range of domains.
Spatial and temporal predictions of mosquito potential breeding sites and densities: integration of satellite imagery, in-situ data, and process-based modeling
Authors: Teillet Claire , Devillers Rodolphe , Tran Annelise , Marti Renaud , Demarchi Marie , Catry Thibault , Rwagitinywa Joseph , Restrepo Johana , Dessay Nadine , Roux Emmanuel
Published: November 2024

Abstract. Dengue fever, primarily transmitted worldwide by the mosquito Aedes aegypti, poses significant public health challenges in tropical and subtropical regions. While effective vector control is crucial in the absence of reliable dengue vaccines, traditional control methods face obstacles like mosquito resistance to insecticides and a very high cost. By combining geospatial data, including satellite imagery, as descriptors, and entomological surveys as target variables in a Random Forest model, we predicted the number of potential mosquito breeding sites, derived the associated environmental carrying capacity for larvae, and used the Arbocarto process-based model to predict Ae.aegypti population densities in an urban region of French Guiana, South America. Our findings highlight that remote sensing data may help predict the number of potential breeding sites over urban areas. Our simulations indicate higher mosquito densities in urban residential areas and a strong spatial and temporal heterogeneity. These densities fluctuate according to intra-annual variations in temperature and precipitation, with higher densities associated with intermediate housing. A comparison with the conventional estimation of environmental carrying capacity for larvae in the current Arbocarto procedure highlights the advantages of our approach. Our study demonstrates the utility of integrating remote sensing with predictive modeling to enhance vector surveillance and control strategies, and provides a replicable approach for monitoring a dengue vector mosquito population in dynamic urban landscapes.
Modeling future projections of land use and land cover in the Kakataibo territory
Authors: Victorio Gonzales Jose Eduardo , Hopfgartner Kathrin
Published: November 2024

Abstract. The Amazon region is undergoing a dynamic and extensive transformation from forested areas to human-altered landscapes, significantly impacting forests and indigenous territories. This research aims to create future land use and land cover (LULC) scenarios by examining past trends (2014–2022) and predicting future patterns for 2030, focusing on the Kakataibo territory in central Peru. Using the Dinamica EGO modelling platform, we projected LULC changes based on historical data and various predictive factors. Our findings reveal notable forest loss between 2014 and 2022, with this trend likely continuing through 2030. Within indigenous territories, deforestation was less severe, with a reduction of 30,247.4 hectares compared to the more significant loss in non-indigenous areas. This underscores the vital role these territories play in mitigating forest loss. However, the rapid expansion of agriculture and infrastructure within these regions signals an urgent need for stronger legal protections to halt further deforestation. This study highlights the critical importance of indigenous territories in forest conservation and offers valuable insights for future land management and conservation strategies in the Amazon.
Design and Implementation of Quality Inspection System for Image on National Platform for Geospatial Information Services in China
Authors: Wang Cong , Wang Zhen , Zhang Hongping , Tang Dejin , Ding Lei
Published: November 2024

Abstract. This article is based on the data update characteristics of the online service for National Platform for Geospatial Information Services (TIANDITU) imagery data, and it designs and implements a full-process imagery data quality inspection system specifically for imagery tile data. The development and application of this system have made the quality inspection and update process of TIANDITU imagery data more scientific and efficient, significantly enhancing the efficiency of the quality inspection and update process for TIANDITU imagery data. The article provides a detailed introduction to the system’s architecture, design, implementation, characteristics and application. It also proposes optimizations to be made in algorithm optimization, user interface, and system stability. This article provides new ideas for quality inspection and publishing based on image tile data.
A path-planning algorithm for autonomous vehicles based on traffic stability criteria: the AS-IAPF algorithm
Authors: Zhao Minqing , Li Xuan , Lu Yuming , Wang Hongxi , Ning Shanping
Published: November 2024

Abstract. Urban traffic congestion, obstacle avoidance, and driving efficiency are the challenges faced by autonomous-vehicle path-planning technology in cities. The traditional artificial potential field (APF) algorithm is insufficient to meet the requirements of efficiency and safety in path planning, as it easily gets trapped in local optima when dealing with complex environments. Therefore, this paper proposes a novel AS-IAPF path-planning algorithm to more efficiently enhance the target reachability of autonomous vehicles in complex traffic environments. Firstly, this paper analyzes and elucidates the macroscopic traffic model, achieving effective modeling of dynamic traffic flow stability based on Lyapunov stability theorem and a classical 1D flow model. Thus, the threshold discriminant formula for traffic element stability is obtained. Secondly, based on the aforementioned threshold discriminant formula, a new AS-IAPF algorithm is proposed. The algorithm mainly includes two aspects: firstly, by pre-generating initial paths and introducing a Gaussian oscillation coefficient of force fields, it avoids the algorithm falling into local optima; secondly, by using the aforementioned driving stability threshold discriminant formula as a dimensional adjustment for adaptively improving and adjusting the strength coefficient of the AS-APF repulsive field, the algorithm further improves the efficiency of path planning. Finally, the algorithm is subjected to joint simulations of 2D and 3D scenarios of different types. The research results show that the AS-IAPF algorithm outperforms other algorithms of the same type with respect to comprehensive performance based on multiple 2D scenario simulation experiments. In the 3D simulation experiments of three different typical traffic scenarios, the proposed algorithm can drive autonomous vehicles to effectively perform corresponding obstacle avoidance actions based on the actual traffic scenarios ahead, ultimately achieving safe obstacle avoidance. The path-planning method proposed in this paper can enhance driving efficiency while considering the safety and stability of vehicles, providing a promising approach and reference for the path planning of autonomous vehicles.
Brief communication: Real-time estimation of the optimal tip-speed ratio for controlling wind turbines with degraded blades
Authors: Kumar Devesh , Rotea Mario A.
Published: November 2024

Abstract. Rotor performance is adversely affected by the wear and tear of blade surfaces caused, for example, by rain, snow, icing, dirt, bugs and aging. Blade surface degradation changes the aerodynamic properties of the rotor, which in turn changes the optimal tip-speed ratio (TSR) and the corresponding maximum power coefficient. Below the rated wind speed, if a turbine continues to operate at the manufacturer-designed optimal TSR, the rotor power could decrease more than necessary unless the optimal TSR is corrected to compensate for blade degradation or blade surfaces are restored. Re-tuning the tip-speed ratio can lead to an improvement in energy capture without blade repairs. In this work, we describe a real-time algorithm to re-tune the tip-speed ratio to its optimal but unknown value under blade degradation. The algorithm uses power measurements only and the Log-Power Proportional-Integral Extremum Seeking Control (LP-PIESC) strategy to re-tune the TSR. The algorithm is demonstrated in simulations to command the set-point TSR required by a generator speed control loop that maximizes power at below-rated wind speeds. Comparison of this solution with a baseline controller that uses the optimal TSR for a rotor with clean blades demonstrates improvements in energy capture between 0.5 % and 3.4 %, depending on the severity of blade degradation and the wind conditions. These results are obtained using the OpenFAST simulation tool, the National Renewable Energy Laboratory (NREL) 5 MW reference turbine and the NREL-developed Reference Open-Source Controller (ROSCO).
Open-Vocabulary Part-Based Grasping
Authors:   , van Oor Tjeard
Published: November 2024

This thesis developed an approach to allow robots to grasp objects by desired parts using deep learning models. This approach was tested across 1000 real-world experiments where the robot lifted a variety of objects safely by user-specified parts. The thesis evaluated a variety of different model combinations and provided an in-depth review of the different performances and failure cases.
Assessment of Immunotherapy-Related Adverse Events Among Patients with Cancer in Saudi Arabia: A Mixed Methods Study
Authors:   , Alquzi Fatimah Ibrahim Y
Published: November 2024

This thesis contributes significantly to cancer care by focusing on patients undergoing immunotherapy in Saudi Arabia. It is the first study to explore the challenges these patients face, offering valuable insights into their experiences. The research translated and validated an immunotherapy assessment tool and assessed its real-world use by evaluating its acceptability, feasibility, and clinical utility. This study deepens the understanding of immune-related adverse events and provides critical perspectives for clinicians, patients, and researchers. Ultimately, it contributes to improving the management of adverse events in cancer immunotherapy.
Exploring Intergenerational Dialogue in Youth-Led Social Movements: The Case of Yasunidos in Ecuador
Authors:   , Valladares Gonzalez Ingrid
Published: November 2024

This thesis conceptualises intergenerational dialogue to enrich understandings of youth political participation. Using the case study of Yasunidos, a youth-led environmental social movement in Ecuador, it deepens understandings of intergenerational dynamics and their role in shaping inclusive and impactful youth activism. It draws on interviews with older and younger activists to reveal the importance of intergenerational dialogue in fostering mutual respect and empathy between younger and older generations, challenging generational divides and discourses of youth political apathy. It bridges Global North and Global South scholarship, centering Latin American perspectives to address a gap in political sociology literature on youth participation.
Clear enigmas and hidden meanings: the perpetuum mobile of the ‘machine of the world’ motif in recent interartistic activity in Brazil
Authors: Martínez-Teixeiro Alva
Published: November 2024

Out of its European Renaissance origins in the writings of Dante and Camões, the metaphor of the machina mundi first came to the fore in Brazilian literature in the canonical poem by Carlos Drummond de Andrade: the quintessential work of Brazilian modernism in its broadest sense, “A Máquina do Mundo”. The aim of this article is to explore the multiple, shifting possibilities inherent in the complex literary-cultural motif of the ‘machine of the world’ in current Brazilian art and literature. The text begins by looking at the comic epic poem Por mares nunca dantes by Geraldo Carneiro, before focusing on the different creative practices and appropriations of a series of paradigmatic variations on the theme from the opening decades of the 21st century: hybridity and interdisciplinarity in the poems A máquina do mundo repensada by Haroldo de Campos and “A quarta parede” by Marco Lucchesi; and interartistic intersectionality and creative duality in Laura Vinci’s verbal-visual sculptural installation “A máquina do mundo”, and Nuno Ramos’s photo-illustrated poetry collection Junco. The aim of this exploration is to interpret each of the works within the discursive historical-cultural context of the motif, and to analyse critically its presence in these rewritten and reconceptualised forms.
Saúde digital: conceitos, fundamentos e aplicações.
Authors: Rotzsch Jussara Macedo Pinho , Souza-Zinader (org.), Juliana Pereira de , Galvão Filho (org.), Arlindo Rodrigues
Published: November 2024

Este Microcurso é dividido em seis Unidades. Na primeira Unidade, apresentamos a definição, a história e a evolução da Saúde Digital, bem como as tecnologias utilizadas e seus benefícios e desafios. Na Unidade II, abordamos os conceitos e fundamentos da Saúde Digital, incluindo interoperabilidade, segurança, privacidade, modelos de negócios e regulamentações. Na Unidade III, exploramos as aplicações da Saúde Digital, como telessaúde, saúde móvel e prevenção de doenças, destacando seus benefícios, desafios e casos de uso. Na quarta Unidade, apresentamos desafios e oportunidades da Saúde Digital, incluindo barreiras à adoção, estratégias para superar essas barreiras e oportunidades para melhorar a qualidade, o acesso e a eficiência dos serviços de saúde. Há também a quinta Unidade bônus opcional sobre Saúde Digital no Brasil, abordando sua história, cenário atual e perspectivas futuras. Encerramos o Microcurso com a recapitulação do conteúdo na Unidade VI.Cada Unidade contém vídeos, textos e atividades interativas. Sugerimos seguir a ordem proposta para melhor compreensão do conteúdo.
TINJAUAN YURIDIS TERHADAP PELAKU PELANGGARAN PARKIR LIAR DI WILAYAH JAKARTA BARAT MENURUT PERATURAN DAERAH PROVINSI DKI JAKARTA NOMOR 5 TAHUN 2014 TENTANG TRANSPORTASI
Authors: Aina Lyia , Fhendy Andreas
Published: November 2024

Transportasi atau pengangkutan adalah perpindahan manusia atau barang dari satu tempat ke tempat lainnya dengan menggunakan sebuah kendaraan yang digerakkan oleh manusia atau mesin. Transportasi digunakan untuk memudahkan manusia dalam melakukan aktivitas sehari-hari untuk mempercepat mobilisasi penduduk ini tidak selalu berjalan dengan baik yang diakibatkan oleh lalu lintas yang semakin padat dan kondisi ini juga terkait terhadap sistem transportasi yang ada dan perparkiran merupakan elemen penting dari sistem transportasi tersebut. Menurut Undang-Undang No. 22 Tahun 2009 tentang Lalu Lintas dan Angkutan Jalan pada Pasal 1 menyatakan bahwa Parkir adalah keadaan kendaraan berhenti atau tidak bergerak untuk beberapa saat dan ditinggalkan pengemudinya. Rumusan dalam penelitian ini yaitu Bagaimana Pelaksanaan Peraturan Daerah Provinsi DKI Jakarta Nomor 5 Tahun 2014 tentang Transportasi terhadap pelaku pelanggaran parkir liar? Apa yang menyebabkan pelanggaran parkir liar meningkat di wilayah Jakarta Barat?,Metode penelitian yang digunakan adalah yuridis normatif yaitu penelitian hukum kepustakaan yang dilakukan dengan cara meneliti bahan-bahan kepustakaan atau data sekunder. Berdasarkan hasil penelitian dapat disimpulkan bahwa berkurangnya lahan parkir yang tersedia dapat menyebabkan penggunaan ruas jalan sebagai parkir liar dan membuat kemacetan yang banyak terjadi di Jakarta Barat dan penindakan yang di lakukan oleh petugas Dinas Perhubungan Jakarta Barat terhadap kendaraan bermotor yang berhenti atau parkir bukan pada tempatnya dapat dilakukan penindakan sebagai berikut yaitu pencabutan pentil ban, penguncian ban kendaraan bermotor, pemindahan kendaraan dengan cara penderekan ke fasilitas Parkir yang sudah ditetapkan atau ke tempat penyimpanan Kendaraan Bermotor yang disediakan oleh Pemerintah telah diatur dalam Peraturan Daerah Nomor 5 Tahun 2014 Tentang Transportasi.
THE ANALYSIS OF TAX DISPUTE RESOLUTION OF TRANSFER PRICING CALCULATION
Authors: ARDIANSYAH ARDIANSYAH , Ichsan Muhammad
Published: November 2024

Determining transfer prices is one of the legal methods in the field of taxation that can be used to obtain the most optimal profits for multinational companies by trying to get the lowest tax rates. The Indonesian government has regulated methods that can be used to calculate transfer prices between related entities. However, the transfer price calculation is still often a dispute between the Directorate General of Taxes (DGT) and Taxpayers (TP), the resolution of which takes a very long time and is mostly won by the Taxpayer. This is a burden for taxpayers and also for the government and can affect the business and investment climate. Based on this, the implementation of tax dispute resolution outside of court (non-litigation) or Alternative Dispute Resolution (ADR) can be considered, providing consultation services when taxpayers prepare transfer price documents, as soon as possible the DGT reviews the TP Doc that has been prepared and submitted by the taxpayer and regulate the criteria and procedures for selecting data / comparison companies in more detail.
Multiple Personal Income Taxes and Financial Well-Being of Employees in Tertiary Institutions
Authors: O. D. Opudu, , T. O. Court,
Published: November 2024

This study aimed to interrogate the relationship between multiple personal income taxes and public workers’ financial wellbeing. The paper therefore examined the relationships between pay as you earn, Bayelsa Health Insurance Scheme, Education Trust Funds and worker’s disposable income as proxies for objective financial wellbeing in (the public) tertiary institutions of Bayelsa State. The study adopted a quantitative design, and data were collected through the Salary Structure of teaching and non-teaching staff from Bayelsa State owned University of Africa and Niger Delta University in Nigeria. The data were analyzed by applying simple regression and correlation analysis. The findings revealed that there was a positive significant relationship between multiple personal income taxes and workers’ financial wellbeing in Bayelsa State tertiary institutions. However, at the entity level, the Bayelsa Health Insurance Scheme (BHIS) variable had a positive substantial impact on workers’ financial wellbeing; whilst, Pay as You Earn (PAYE) has a negative significant effect on workers’ financial wellbeing. Whereas Education Trust Funds (EDTF) variable had an inverse non-significant association with workers’ financial wellbeing in Bayelsa State. Therefore, we recommend a fair and equitable tax policy framework to sustain adequate pay for public servants and reduce employees’ turnover in the state.
Public Perception on the Role of Public Relations Strategies for Peace-Building During Political Activities in Nigeria
Authors: C. O. Kalu, , A. Igyuve, , T. M. Akase,
Published: November 2024

The study set out to assess public perception of the role of public relations strategies for peace-building during political activities in Nigeria. The population of the study were electorates in the six Areas Councils of the Federal Capital Territory, Abuja, Nigeria. The study was supported by the excellent theory. A quantitative research approach was used. The findings revealed among others that public relations strategies used in peace-building during the 2023 general elections in FCT include dialogue, mediation, negotiation, arbitration, community relations, intercession, intervention, inquest, conciliation, adjudication, use of the mass media, public view and propaganda devices. Thus, the study recommended that the application of public relations strategies in peace-building during election-related matters in Nigeria should take a holistic and truthful approach by accommodating divergent views from the different segments of Nigerian society. Also, proper utilisation of the different types of media by public relations practitioners is imperative in bringing about peace during elections in Nigeria.
Cultivating Entrepreneurial Mindset in African Educational Leaders: Strategies for Fostering Innovation and Adaptability
Authors: E. Y. Attah, , M. Y. Abdul,
Published: November 2024

This work looked at cultivating entrepreneurial mindset in African educational leaders: strategies for fostering innovation and adaptability. The objectives of the study were to: determine effective methods for building entrepreneurial mindset; analyze the relationship between entrepreneurial mindset among educational leaders and students’ performance; and identify the main obstacles African educational leaders confront in promoting entrepreneurial mindset. The survey design approach was used. Data were gathered through primary and secondary sources. The study used Nigeria as a case study. The population of the study was 1705 while 324 was derived as sample size using Taro Yamane formula. Stratified sampling technique was used in selecting the 324 sample from the six geo political zones in Nigeria. Questionnaires, designed according to the 5-point Likert scale, were administered to the 324 persons. Data was presented and analyzed in tables. In testing the hypotheses, ANOVA was used for hypotheses one and three while Pearson Correlation Coefficient was used for hypothesis two. Findings revealed that: Experiential learning, innovation and creativity workshops are effective methods for building entrepreneurial mindsets among individuals; there is a significant relationship between entrepreneurial mindset among educational leaders and students’ performance, and limited institutional support and inadequate funding impact negatively on educational leaders’ ability in promoting entrepreneurial mindset. From the findings, it was recommended among others that educational stakeholders should invest in workshops for innovation, experience learning, and creativity while government at all levels should encourage educational leaders with all necessary tools to succeed in building entrepreneurial mindset.
Emerging Trends in Labour Arbitration: Technological Advancements and Remote Hearings
Authors: E. C. Ibekwe,
Published: November 2024

In this paper, the author discusses the innovations in labour arbitration with particular emphasis on technological developments and hearings being conducted remotely. Therefore, the research seeks to establish how these innovations are influencing this process and the effects this change has on the resolution of labour related disputes. This paper aims to provide a literature review and to present case studies discussed in relation to recent changes in digital environments, comparing their advantages and disadvantages and considering such aspects as openness, productivity, fairness, or internet literacy. Finally, the potential implications of the present analysis are underlined and a call is made to think about the requirements that should shape policy approaches to remote arbitration on the condition that the technique is efficient and fair. The study’s implications for future research and practice are also presented.
An Application of Closest Pair of Points Algorithm to Detect the Outliers on the Fixed Solar System
Authors: Motlatsi Cletus Lehloka
Published: November 2024

Renewable energy resources are regarded as clean energy sources and effective utilization of these resources reduces ecological effects, produces little secondary waste and they are feasible in light of present and future economic and social societal demands. Solar energy is a radiant light and heat from the sun that may be harvested through a variety of methods, including solar power for producing electricity, solar thermal energy, and solar architecture. Solar technologies generate electricity from the sun, which is considered to be a clean energy source. Solar energy technologies offer a tremendous chance for mitigating greenhouse gas emissions and lowering global warming by replacing traditional energy sources. However, the technologies are not exempted from the operational challenges such as the ever-fluctuating ambient conditions. The intention of this study is to present the experimental outcomes of an application of the closest pair of points algorithm to detect outliers on the fixed solar system. The closest pair of points algorithm is used to find outliers in the system based on the measured voltage from the photovoltaic (PV) panel. The algorithm examines the PV panel’s immediate voltage and compares it to earlier voltage samples to assess whether there is a significant voltage variation that might turn into outliers. The algorithm proved to be extremely precise and efficient in detecting outliers on the fixed solar system. However, the efficiency of the algorithm should yet be verified for larger PV arrays to determine whether it will withstand the test.
Classification of Latent Classes and Analysis of Related Factors Regarding Workplace Adversities among the Social Workers Employed in Social Welfare Centers
Authors:   Korea Safety Culture Society, Moon Young Joo
Published: November 2024

The purpose of this study is to classify the latent classes of workplace adversities among the social workers employed in social welfare centers, to identify the individual and organizational characteristics that influence this classification, and to examine whether there are differences in the intention to change jobs and the intention to change workplaces based on the derived latent classes of workplace adversities. To achieve the research objectives, a mail survey was conducted 1,450 social workers employed in social welfare centers located in Busan Metropolitan City. Among the returned surveys, data from 1,152 individuals were used for latent class analysis. In particular, the R3STEP and BCH approaches, which consider classification errors, were applied using a three-step estimation method. The analysis results identified four latent classes of workplace adversity for social workers, named 'high adversity type', 'administrative workload type, 'emotional labor type', and 'low adversity type'. Second, individual characteristics such as gender, age, career, and position, and organizational characteristics such as organization type and supervision system were found to have a statistically significant effect on the latent class classification. Finally, it was found that the intention to change jobs and the intention to change workplaces are higher for the 'administrative workload type', 'emotional labor type', and 'high adversity type' compared to the 'low adversity type'. Additionally, while the intention to change jobs is higher for the 'high adversity type' compared to the 'administrative workload type', no statistically significant difference was found in the intention to change workplaces. Based on these findings, implications for fostering a safety culture in social welfare centers were suggested.
Analysis of the impact of safety management costs under the Construction Technology Promotion Act on risk at construction sites
Authors:   Korea Safety Culture Society, Lee Sang Gu , Park Jong Yong , Han Sang Tae
Published: November 2024

This study started from the reality that the current construction industry's industrial safety and health management expenses under the Industrial Safety and Health Act are organized as rates, while the Construction Technology Promotion Act's safety management expenses only have a standard for organization and are not organized as rates. In order to find out the effect of improving safety management expenses under this situation, we focused on the effect of the Construction Technology Promotion Act's safety management expenses on risk, and in particular, we sought to find out the effect of unifying the Industrial Safety and Health Management Expenses and the Construction Technology Promotion Act's safety management expenses on risk. To this end, a survey was conducted targeting 243 construction industry workers, and the collected data was analyzed using factor analysis and structural equation modeling to analyze the relationship between the rate system for safety management costs and the unification of safety management costs under the Construction Technology Promotion Act and the level of risk, that is, the severity of risk and the probability of risk. The results of the study showed that the rate system for safety management costs under the Construction Technology Promotion Act significantly affected the severity of risk and the probability of risk, respectively. The unification of safety management costs significantly affected the severity of risk. These results show that the introduction of the rate system for safety management costs under the Construction Technology Promotion Act affects the risk at construction sites, and suggest that the unification of the divided safety management costs can reduce the severity of risk.
工作穩定重要嗎？師資生教職召喚、學習倦怠與生涯希望感之相關研究—以某藝術大學為例
Authors: 劉孟芳 劉孟芳 , 陳嘉成 陳嘉成
Published: November 2024

本研究旨在探討師資生教職召喚、學習倦怠與生涯希望感之關係，並以北部某藝術大學學生為研究對象，欲了解不同年級之差異情形。研究方法以問卷調查法，回收問卷共278份。研究工具共計四個部分，包含「個人基本資料表」、「教職召喚量表」、「學習倦怠量表」與「生涯希望感量表」。所得資料以描述性統計、單因子變異數分析、皮爾森積差相關以及多元逐步迴歸進行分析。研究結果發現：藝術大學師資生不同年級在教職召喚、學習倦怠與生涯希望感無顯著差異；除教職召喚之「利己主義」與學習倦怠無相關，其餘變項皆達顯著相關；藝術大學師資生教職召喚可正向預測生涯希望感；而學習倦怠中除身心耗竭外，皆對生涯希望感有負向預測。最後，根據上述量化研究結果進行討論，並針對藝術大學之師資生、相關處室提出建議，作為後續參考。

This study aims to study the relationship between teacher calling, learning burnout and career hope among students from the art university of northern Taiwan of Grades. The research method was questionnaire survey and 278 participants participated in this research. The research tools included: "Basic Personal Information ", "Teacher Calling Scale", "Learning Burnout Scale" and "Career Hope Scale". The obtained data were analyzed by descriptive statistics, One-way ANOVA, Pearson Correlation, and Multiple regression analysis. The research results are as follows: There were no significant differences in teacher calling, learning burnout, and career hope among art university pre-service teachers of grades. Except for "Egoism" of teacher calling and learning burnout, all the variables have reached significant correlation levels; teacher calling had significant positive effect on career hope; Except for "Emotional and physical exhaustion", learning burnout had significant negative effect on career hope.
Are people willing to share living space? Household preferences in Finland
Authors: Ruokamo Enni , Kylkilahti Eliisa , Lettenmeier Michael , Toppinen Anne
Published: November 2024

This paper explores citizens’ interest in space sharing in private housing. It is based on a large-scale random sample citizen survey (N = 1448) conducted in Finland focusing on multiple aspects of low-carbon housing. Both quantitative preference-related results and qualitatively analysed open question responses show that the concept of shared space use is relatively low in popularity. However, there are differences depending on the space to be shared. Approximately half of the respondents are willing to use shared space for exercise, children playing and repairing activities, whereas a small fraction would use it for cooking, working and studying, or guest accommodation. Respondents’ backgrounds only slightly impact the willingness to share spaces. However, people in urban areas are more willing to share spaces. Larger floor area per inhabitant is negatively associated with the willingness to share spaces. This implies that sufficiency in housing is linked with space-sharing interests. This paper concludes that space-sharing is relatively unattractive under present conditions. Improving functionality and social trust by attractive design, clearer user rules and spreading good examples could be approaches to enhance the situation.
Practice relevance
Space-sharing as an operationalisation of housing sufficiency could be an attractive avenue for increasing the utilisation rate and efficiency of space use among households. Based on the results from a survey of Finnish citizens, space-sharing received somewhat mixed responses, although 75% of respondents indicated at least some willingness for sharing activities. Respondents with high climate-change awareness and those living in urban areas are associated positively with an interest in space-sharing. Future development needs to increase the attractiveness of sharing spaces include paying attention to the design of shared spaces, formulating clear user rules, creating functional booking and fee systems, and building awareness towards responsible user practices.
Language, Visuality and Representation of Nigeria - China Relations in Nigerian Digital Space
Authors: Onanuga Paul , Gbadegesin Victoria O.
Published: November 2024

Nigeria – China relationship has witnessed significant upsurge in the last decade. The budding relationship however continues to attract diverse perceptions as reflected in digital spaces. In this study, ten images – cartoons – from the Internet were subjected to Multimodal Critical Discourse Analysis. The depictions of Chinese influence and activities in Nigeria are engaged and representations that oscillate from financial/economic concerns to issues around sociality and culture are identified. Within the discourses around economy, China is revealed as a superpower attempting to exert its influences through subtle force to take over national sovereignty, while Nigerian leaders are shown as complicit in the exploitation of their citizens. In the context of sociality and culture, China is represented as a thriving society which is worthy of emulation although issues around racism and discrimination are also tackled. The diversity of representations manifests the complications that continue to engage issues of globalisation, fear of domination, and China’s rise in Africa.
Intertextuality and Scapegoating Motif in Yoruba Myth of Ayélála and Judeo-Christian Narrative of Jesus
Authors: Oyetimi Kehinde
Published: November 2024

Myths have always been significant parts of the oral traditions of preliterate societies. As the creative repository of indigenous communities, myths express the shared ecosystem of communal ideologies and cultural identities. As vital narratives, myths—whether in their symbolical, literal or allegorical multimodalities—are artistically constructed to serve cosmological and ontological purposes. Given their very universal appeal and representation, myths frequently exhibit cross-cultural correspondences, borrowing motifs, themes, and characters from remote, neighboring or dominant cultures.  Intertextuality, the weaving together of diverse cultural elements within myths, suggests that texts are part of a larger network influencing and shaping one another, fostering dialogue and meaning production through interaction. It encompasses practices like ritual performances, quotation, allusion, parody, pastiche, and adaptation, encouraging readers to be active participants in uncovering hidden layers of meaning. Earlier studies on ritual practices for restoring social order and cosmic balance have established the criticality of the scapegoat motif. While engaging intertextuality and social drama as theoretical framework, this study examined layers of cross-cultural parallels of the scapegoat motif in the Yoruba myth of Ayélála and the Judeo-Christian narrative of Jesus. In both myths, the scapegoat emerges as a character or entity burdened with blame or punishment for the sins or troubles of others, often sacrificed to restore communal harmony or absolve guilt.
Narratives of Resistance: Discursive Strategies in Nigeria’s 2020 #EndSARS Protest
Authors: Alugbin Matthew , Iyoha Osas
Published: November 2024

The #EndSARS hashtag, which started in 2017, was one of the tools used to share, on Twitter, experiences and advocacy on police brutality in Nigeria. Extant works have explored the use of social media for civic engagement, consciousness re-awakening, counter-narratives and societal disruption, amongst other uses. The present study focuses on how discursive strategies of resistance were deployed to create and sustain agitations using Twitter as a mobilising force of mass movement to achieve political goals. van Dijk’s socio-cognitive model of Critical Discourse Analysis (CDA) with insights from computer-assisted textual analysis was used to analyse a corpus of 1,000 tweets with the #EndSARS hashtag. Findings show that blame attribution, recontexualisation of events, categorisation, victim positioning, and cross-border appeal are discursive resistance strategies used to sustain solidarity, create bonds and negotiate power among the marginalised people. Through these, protesters were able to create defiance and directive acts in the people. These strategies not only create a contest for political power between the government and the masses but also help in the construction of a resistance ideology among the people. Hence, new perspectives on social media should consider the paradigm shift that has resulted in how narratives are sustained and negotiated during online social movements.
Nigeria and the Organization of Islamic Countries; 2004-2021
Authors: Fadipe Oluwakorede
Published: November 2024

The study examines the fluctuating scope of the Nigeria Organisation of Islamic Countries (OIC) from 2004 to 2020, a time of increased complexities both from within and beyond Nigeria. The study relied on secondary sources such as journals and newsletters and adopted a qualitative method for indepth analysis. The findings of the study suggest that while the relationships can be beneficial to Nigeria, Nigeria's political leaders must learn how to convey such an impression to its selective Christian community that it is not a ploy to convert Nigeria from secularism to an Islamic nation. Based on this, the study recommends that such scrutiny and skepticism towards Nigeria's membership should be enlightened to objectively evaluate the OIC's religious and socio-economic benefits, which Nigeria can take advantage of as a member.
Personological Creation of Language: The Feminist Perspective
Authors: Olatunbosun Taofeek , Oduwole Olamide
Published: November 2024

This research stems from Helene Cixous's call for women to invent their language – the language of feminism – by interpreting their identities as a science of feminine creation. This science is a protest of women's subjugation and exploitation using symbolic language to question male supremacy. Thus, this research investigates sexual differentiation as related to language differentiation between men and women. This investigation aims to develop standards and deploy a feminist-specific language known as l’ecriture feminine. Significantly, the argument seeks to challenge masculine realities, judgments and perspectives manifested in language deployment. A creative writing-based methodology is used, and the primary author is Akachi Adimora-Ezeigbo, together with other relevant authors and feminist critics who have demonstrated in their works, women's patterns of reasoning and language. The goal is to create a language of feminism that is a conscious effort to erase or contrast the language of patriarchal imaginary order, which is fundamental in language codification. Consequently, female and male writers who share this position are encouraged to develop and rewrite popular narratives to establish the language of feminism as a field of exploration and use in the modern world.