Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada

This paper presents a novel approach for enhancing long-term runoff simulations through the integration of empirical mode decomposition (EMD) with four machine learning (ML) models: ensemble, support vector machine (SVM), convolutional neural networks (CNN), and artificial neural networks with backpropagation (ANN-BP). The proposed methodology uses EMD to decompose precipitation and temperature time-series into intrinsic mode functions, thereby revealing underlying data patterns. Subsequently, these components are incorporated into the ML models to simulate the runoff time-series. The effectiveness of the hybrid models is evaluated using streamflow runoff data obtained from the Grand, Winnipeg, and Moosonee Rivers in Ontario, Canada. Four widely used performance indices, namely, correlation coefficient, root mean square error (RMSE), mean absolute relative error, and Nash–Sutcliffe efficiency, are employed to assess the models’ performance. The results demonstrate that the hybrid EMD-ML models exhibit significantly superior performance compared with the standalone ML methods. During the validation phase, the EMD-Ensemble, EMD-SVM, EMD-CNN, and EMD-ANN-BP models exhibit notable reductions in the RMSEs of monthly streamflow estimates for the Grand River, amounting to 11%, 22%, 8%, and 33%, respectively, compared with their non-EMD counterparts. Additionally, these hybrid models exhibit improved RMSEs for yearly simulations in the Winnipeg River, with reductions of 54%, 0.08%, 6%, and 4.5% respectively. To further enhance the accuracy of monthly and yearly streamflow estimates, an SVM-recursive feature elimination technique is employed to select a more appropriate EMD dataset in all study cases. This research underscores the potential of integrating EMD with ML models to enhance long-term runoff simulations. The outcomes highlight the superior performance of the hybrid EMD-ML models, demonstrating their ability in generating lower biases than the standalone ML methods. These findings hold significant implications for the field of computational fluid mechanics and can contribute to the understanding of hydrological processes.
Transport and Climate Change

This topical volume covers the intersection between transport and climate change, with papers from the 'Transport & Climate Change' session of the RGS-IBG conference in London, September 2010. It considers the role of transport modes at varying spatial dimensions and a range of perspectives on the relationship between transport and climate change.
Design and Analysis of a Single-Stage Simultaneous Charging Converter Using a SiC-Based Quasi-Z-Source Resonant Converter for a Wide Output Voltage Range

Simultaneous charging with the individual voltage-fed LLC resonant converters has the drawback of two-stage conversion losses and increased cost, volume, and control complexity. This work presents an isolated Quasi-Z-Source Inverter (QZSI) combined with an LLC resonant converter for a simultaneous charging system in a single-stage conversion at different voltage levels to overcome these issues. The dual tank resonant circuit (DTRC) design structure and required magnetizing inductance are detailed to achieve simultaneous charging. Moreover, the influence of the equivalent magnetizing inductance-to-inductance ratio on power sharing and efficiencies is analyzed. This analysis uses SiC MOSFETs with double-leg shoot-through PWM (DLST PWM) at the constant switching frequency. Simulations and experimental results are evaluated for the proposed converter with a prototype of $200 {W}$ on each HFT in the upper and lower circuits in the laboratory using the dSPACE1104 platform. This work has analyzed simultaneous charging at equal and unequal voltage levels. It offers a novel, efficient topology with simple control and a smaller size.
Pure Number Discrete Fractional Complex Hadamard Transform

This letter introduces a novel discrete fractional transform termed as pure number discrete fractional complex Hadamard transform (PN-FCHT). The proposed PN-FCHT offers three advantages over the traditional discrete fractional Hadamard transform (FHT). Firstly, the higher-order PN-FCHT matrix exhibits the Self-Kronecker product structure, which allows for the recursive generation from the $2\times 2$ core PN-FCHT matrix. Secondly, it possesses two important properties for computation, i.e. pure number property. Lastly, compared to existing state-of-the-art fast FHT algorithms, the PN-FCHT can reduce the transform multiplication computational complexity by up to 80% and this results in a more efficient hardware implementation.
Impact of Spent Mushroom Substrate Enriched with Trichoderma harzianum on Damping off Disease in Chilli and Tomato

A study was undertaken to evaluate the impact of soil application of spent mushroom substrate (SMS) and farm yard manure (FYM) enriched with T. harzianum on pre-emergency damping off (PED) and post-emergence damping off (POED) in chilli and tomato seedlings in nursery beds containing naturally infested soil with Pythium aphanidermatum and Rhizoctonia solani in the experimental field area of Department of Plant Pathology, CCSHAU Hisar during 2018-19, 2019-20and 2020-21.The observations on disease incidence (%) were recorded up to 30 days after germination. A control without soil amendment was also maintained. The maximum damping off was at 22.5, 23.4 and 22.9% in controland minimum at 15.7, 15.8 and 16.6% during 2018–19, 2019–20, 2020–21, respectively in chilliwhen SMS enriched with T. harzianum was applied. The mean of damping off disease incidence was minimum at 16.0% when SMS enriched with T. harzianum was applied and maximum at 22.9% in control. The maximum damping off was at 18.1, 19.4 and 18.7% in control and minimum at 12.2, 12.6 and 14.8% during 2018–19, 2019–20, 2020–21, respectively in tomato when SMS enriched with T. harzianum was applied. The mean of disease incidence (%) was minimum at 13.2% when SMS enriched with T. harzianum was applied and maximum at 18.7% in control.
Dentech: a mobile application for remote care and teaching in dentistry

OBJECTIVE: to create a complementary digital tool for remote health care and teaching in Dentistry. METHOD: a mobile application prototype combining m-health and m-learning was developed, using free resources. RESULT: the prototype has three different profiles related to oral health: Dentist, Professor Dentist and Student. With the prototype, it is possible for the Dentist to exchange information with patients via Whatsapp and save information in electronic medical records. Also, the prototype allows the Professor Dentist to develop clinical scenarios, make them available for assistance simulations to the Student profile, and evaluate the resulting interactions later. CONCLUSION: technology is an important part of our daily lives and improves information and communication. Despite the advantages, its use is still challenging due to limited technological knowledge, in addition to the precariousness of the Internet connection in a general way.
Are relative educational inequalities in multiple health behaviors widening? A longitudinal study of middle-aged adults in Northern Norway

Introduction Educational inequality in multiple health behaviors is rarely monitored using data from the same individuals as they age. The aim of this study is to research changes in relative educational inequality in multiple variables related to health behavior (smoking, physical activity, alcohol intake, and body mass index), separately and collectively (healthy lifestyle), among middle-aged adults living in Northern Norway. Methods Data from adult respondents aged 32–87 in 2008 with repeated measurements in 2016 (N = 8,906) were drawn from the sixth and seventh waves of the Tromsø Study. Logistic regression was used to assess the relative educational inequality in the variables related to health behavior. The analyses were performed for the total sample and separately for women and men at both baseline and follow-up. Results Educational inequality was observed in all the variables related to health behavior at baseline and follow-up, in both men and women. Higher levels of educational attainment were associated with healthier categories (non-daily smoking, physical activity, normal body mass index, and a healthy lifestyle), but also with high alcohol intake. The prevalence of daily smoking and physical inactivity decreased during the surveyed period, while high alcohol intake, having a body mass index outside of the normal range and adhering to multiple health recommendations simultaneously increased. The magnitude of relative educational inequality measured at baseline increased at the follow-up in all the variables related to health behavior. Differences were larger among women when compared to men, except in physical inactivity. Conclusion Persistent and increasing relative disparities in health behavior between the highest education level and lower education levels are found in countries with well-established and comprehensive welfare systems like Norway. Addressing these inequalities is essential for reducing both the chronic disease burden and educational disparities in health.
Automated Application Deployment on Multi-Access Edge Computing: A Survey

The advent of technologies such as 5G makes it possible to improve the availability and quality of existing services and introduce new ones, such as enhanced mobile broadband, IoT applications, augmented reality, mission-critical services, cloud gaming, or smart infrastructure. It is now possible to get faster responses to a wide range of requests, but the addition of more users and services can still make normal operation difficult due to network congestion, bandwidth limitations, scalability issues, service differentiation, or security concerns. To solve this problem, and to help meet Service Level Agreements (SLAs), some services must be brought closer to the user. The Multi-access Edge Computing (MEC) initiative is a step in this direction, enabling cloud-like services to be moved closer to the end user, providing lower access latencies. However, the dynamic nature of edge computing environments, and the mobility of users, require the implementation of automated service delivery processes that can adapt to environmental conditions, such as the use of optimal policies tailored to the scenario. This article surveys the research focused on MECs, particularly those that use automated deployment mechanisms, namely Infrastructure as Code (IaC) tools. Today, these tools play a key role in automated deployment mechanisms, especially for maintaining optimal policies, which is still under investigation. The result of this assessment has been the identification of the relevance of IaC to these processes and the identification of future research directions.
The Effect of Work Placement, Discipline and Work Climate on Employee Performance at the Regional Financial and Assets Management Agency in Lubuklinggau City

The purpose of research to determine the influence of work placements, discipline and work climate to employee placements in Of Office of Regional Financial and Asset Management Lubuklinggau City both simultaneously and partially. The sample in this research as many as 50 employees in Office of Regional Financial and Asset Management Lubuklinggau City. Data analysis technique used in this research is multiple linear regression test, coefficient of determination test, F test and t test. The results obtained are 1). The partial test (t test) performed proves work placements has a significant effect on employee performance where tcount 3,624 > ttable 2,008 and also sig 0,024 < 0,05. 2). Discipline significantly influence the performance where tcount 4,061 > ttable 2,008 and also sig is 0,018 < 0,05. 3). Work Climate significantly influence the performance where tcount 4,661 > ttable 2,008 and also sig is 0,012. 4). Work Placements, Discipline and Work Climate have significant influence simultaneously to employee performeance in Office of Regional Financial and Asset Management Lubuklinggau City, where Fcount 6,208 > Ftable 2,81 and also sig of 0,006 < 0.05.
Quality of Security Guarantees for and with Physical Unclonable Functions and Biometric Secrecy Systems

Unique digital circuit outputs, considered as physical unclonable function (PUF) circuit outputs, can facilitate a secure and reliable secret key agreement. To tackle noise and high correlations between the PUF circuit outputs, transform coding methods combined with scalar quantizers are typically applied to extract the uncorrelated bit sequences reliably. In this paper, we create realistic models for these transformed outputs by fitting truncated distributions to them. We also show that the state-of-the-art models are inadequate to guarantee a target reliability level for all PUF outputs, which also means that secrecy cannot be guaranteed. Therefore, we introduce a quality of security parameter to control the percentage of the PUF circuit outputs for which a target security level can be guaranteed. By applying the finite-length information theory results to a public ring oscillator output dataset, we illustrate that security guarantees can be provided for each bit extracted from any PUF device by eliminating only a small subset of PUF circuit outputs. Furthermore, we conversely show that it is not possible to provide reliability or security guarantees without eliminating any PUF circuit output. Our holistic methods and analyses can be applied to any PUF type, as well as any biometric secrecy system, with continuous-valued outputs to extract secret keys with low hardware complexity.
VERTIGO AND DIZZINESS IN ANTERIOR CIRCULATION CEREBROVASCULAR DISEASE : SYSTEMATIC REVIEW

Introduction: Recurrent spontaneous vertigo/dizziness episodes may manifest as fleeting occurrences. It is uncommon for vascular vertigo to cause an isolated positional vestibular condition, also known as recurrent positional vertigo or disorientation. The anteriormost boundary of the structure is the solitary anterior communicating artery (ACom), which connects the ring to the bilateral anterior cerebral arteries (ACA). The aim: This article explore about vertigo and dizziness in anterior circulation cerebrovascular disease. Methods: By comparing itself to the standards set by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, this study was able to show that it met all of the requirements. So, the experts were able to make sure that the study was as up-to-date as it was possible to be. For this search approach, publications that came out between 2013 and 2023 were taken into account. Several different online reference sources, like Pubmed and SagePub, were used to do this. It was decided not to take into account review pieces, works that had already been published, or works that were only half done. Result: In the PubMed database, the results of our search brought up 12 articles, whereas the results of our search on SagePub brought up 6 articles. The results of the search conducted for the last year of 2013 yielded a total 7 articles for PubMed and 2 articles for SagePub. In the end, we compiled a total of five papers, 4 of which came from PubMed and one of which came from SagePub. We included three research that met the criteria. Conclusion: Previous research has linked the findings of vertigo with disturbances in the cerebral arteries, especially when accompanied by complaints of hearing loss, balance disturbances, and limb weakness.
Force sensors for active safety, stability enhancement and lightweight construction of road vehicles

Force and moment measurement at different locations within road vehicles is a multifaceted, comprehensive and forthcoming technology that might play a breakthrough role in automotive engineering. The paper aims to describe why such technology seems so promising. A literature review is accomplished on which forces can be measured and what can be obtained with force and moment data. Additionally, attention is devoted to where – and how – force and moments can be measured effectively. Force and moment measurement technology is also studied with an historical perspective, briefly analysing the past applications. Active safety systems (ADAS up to full automated driving) and automotive stability enhancement systems are expected to be impacted by the measurement of forces and moments at the wheels. Friction potential evaluation and driver model development and monitoring have been – and are expected to be – major field of research. Force and moment measurement technology may also be exploited for lightweight construction purposes with remarkable synergistic effects with active safety and stability enhancement systems. Possible innovations on lightweight construction and sustainable mobility are to be expected thanks to force and moment measurement.
VAPEX: an interactive web server for the deep exploration of natural virus and phage genomes

Abstract Motivation Studying the genetic makeup of viruses and phages through genome analysis is crucial for comprehending their function in causing diseases, progressing medicine, tracing their evolutionary history, monitoring the environment, and creating innovative biotechnologies. However, accessing the necessary data can be challenging due to a lack of dedicated comparative genomic tools and viral and phage databases, which are often outdated. Moreover, many wet bench experimentalists may not have the computational proficiency required to manipulate large amounts of genomic data. Results We have developed VAPEX (Virus And Phage EXplorer), a web server which is supported by a database and features a user-friendly web interface. This tool enables users to easily perform various genomic analysis queries on all natural viruses and phages that have been fully sequenced and are listed in the NCBI compendium. VAPEX therefore excels in producing visual depictions of fully resolved synteny maps, which is one of its key strengths. VAPEX has the ability to exhibit a vast array of orthologous gene classes simultaneously through the use of symbolic representation. Additionally, VAPEX can fully analyze user-submitted viral and phage genomes, including those that have not yet been annotated. Availability and implementation VAPEX can be accessed from all current web browsers such as Chrome, Firefox, Edge, Safari, and Opera. VAPEX is freely accessible at https://archaea.i2bc. paris-saclay.fr/vapex/.
Pimpinella species (Anise): Traditional use, Mineral, Nutrient and Chemical contents, Biological activities

Objective: Plants, which are natural materials of great importance to humans, are currently utilised for various purposes. The utilisation of plants with nourishing properties for the treatment of diseases has a long history. Material-Method: In this study, the general characteristics, usage areas, mineral and nutrient contents, biological activities, and chemical compositions of Pimpinella species reported in the literature have been compiled. The literature review reveals that the plant is widely used in traditional medicine. Results: Furthermore, it has been determined that they may serve as significant natural resources in terms of their mineral, nutritional, and chemical content. Furthermore, it has been observed based on reported data in the literature that Pimpinella species exhibit high levels of antioxidant and antimicrobial activity. Conclusion: Within this context, it has been observed that Pimpinella species can be significant sources not only in terms of their nutritional properties but also from a medicinal perspective.
Gamification implementation for educational purposes: a scoping review (2013-2018)

This review paper examines a worldwide phenomenon, gamification, in the educational context. After the high popularity of video games, the integration of gamification in the learning context has become one of the practices that have a considerable impact on learning. It is important to contribute to the literature on the educational value of gamification by providing a literature review of some aspects of the studies that have emerged in the field of educational gamification (EG) over a five-year period. It is crucial to have a more complete understanding of educational gamification without restricting emerged literature to defined criteria so that it can be discussed in relation to how much of an impact it has on learning outcomes. The current study systematically reviewed four well-known social science databases for studies on gamification in education published between January 2013 and April 2018. The study yielded 141 relevant papers that focused on only educational gamification concept and excluded other game related approaches. The findings indicate that gathering data regarding learner opinions on the application of gamification is the most frequent (N=34) study goal of these studies. Although the majority of papers highlight that gamification increases learner motivation and engagement, there is not yet enough data in this large body of research to conclusively state that using gamification would enhance learning and academic performance at the same level in every context. The findings imply that careful design based on instructional goals and context, as well as the needs of the students, is necessary for integration of gamification to serve its purpose effectively. To sum up, ensuring the description of the most accurate implementation process for specific education contexts and subject fields may still be challenging, given the use of gamification in many distinct disciplines. Furthermore, educational gamification is studied in many contexts with various expectations, and the outcomes would inevitably be different. This review categorized the numerous educational advantages and challenges of gamification.