Miracle-dz/UniFAR-FTUs huggingface dataset:
The Research on Optimization of Online Education Platform Based on Customer Satisfaction

With the application of Internet technology in traditional education, online education has emerged as a teaching and learning form based on the Internet. Since 2010, there has been a surge in investment in online education, with market size and user numbers steadily increasing, and online education platforms flourishing. Chaoxing Learning Platform is a comprehensive mobile application developed by Beijing Chaoxing Company in 2016, covering mobile teaching, learning, reading, and social functions. It is one of the earliest companies in China to engage in the digitization of paper resources and electronic publishing. However, users still encounter the following problems when using Chaoxing Learning Platform or other online learning platforms: low completion rate, poor learning effectiveness, difficult time management, lack of motivation, lack of feedback and guidance, and so on. Therefore, it is necessary to find ways to improve the low completion rate and high exit rate of Chaoxing Learning Platform for its future healthy development. This study takes Chaoxing Learning Platform as the research object, based on customer satisfaction model and technology acceptance model, explores the factors that affect user satisfaction of online education platforms, and is expected to provide useful suggestions and countermeasures for platform optimization, promotion, and improvement of user experience.
Genetic Algorithm for Feature Selection Applied to Financial Time Series Monotonicity Prediction: Experimental Cases in Cryptocurrencies and Brazilian Assets

Since financial assets on stock exchanges were created, investors have sought to predict their future values. Currently, cryptocurrencies are also seen as assets. Machine learning is increasingly adopted to assist and automate investments. The main objective of this paper is to make daily predictions about the movement direction of financial time series through classification models, financial time series preprocessing methods, and feature selection with genetic algorithms. The target time series are Bitcoin, Ibovespa, and Vale. The methodology of this paper includes the following steps: collecting time series of financial assets; data preprocessing; feature selection with genetic algorithms; and the training and testing of machine learning models. The results were obtained by evaluating the models with the area under the ROC curve metric. For the best prediction models for Bitcoin, Ibovespa, and Vale, values of 0.61, 0.62, and 0.58 were obtained, respectively. In conclusion, the feature selection allowed the improvement of performance in most models, and the input series in the form of percentage variation obtained a good performance, although it was composed of fewer attributes in relation to the other sets tested.
Seismic Interferometry for Mineral Exploration: Passive Seismic Experiment over Kylylahti Mine Area, Finland

Summary We present the results of adapting seismic interferometry (SI) for reflection imaging in mineral exploration. We use a unique dataset of one-month ambient-noise recordings acquired with large-N array (~1000 receivers) deployed in a regular grid (50 m receiver interval, 200 m line interval) directly above the known mineralisation and underground mine infrastructure at the Kylylahti polymetallic mine located in Eastern Finland. Ambient-noise in the study area is dominated by the road traffic and mine activities (both surface and underground) providing quasi omni-directional distribution and broad freqeuncy spectrum of the noise sources. We start from the simple 2D forward modelling using existing geological model. Results of the SI applied to field data from selected receiver lines exhibit reflections related to the bottom of the ore body as well as the reflection from the target area confirmed by synthetics. Finally, we develop robust mineral exploration SI workflow (MESI) tailored for reflection imaging and apply it to our 3D ambient-noise dataset. Migrated sections obtained from the MESI-processed data exhibit high reflectivity, compatible with the active-source seismics and directly related to the known geological structures.
Matching projected image with perceived image for geotourism development: a qualitative-quantitative integration

ABSTRACT This paper investigates the destination image of Hong Kong UNESCO Global Geopark by comparing the projected image held by the park authority and the perceived image by Mainland Chinese park visitors. Through a qualitative categorization of the elements in official park promotional materials, this study identifies categories of image projection, which concentrate on key characteristics of geological features, interpretations and education, as well as accessibility and proximity to urban areas. The survey-based approach reveals that the Mainland Chinese visitors consider geological and marine scenery, ecological and natural environments to be the most important factor representing the perceived image of the Geopark. In this paper, components of the perceived image are discovered, showing that geological features and education, as well as ecological and natural beauty are the consistent aspects of projected-perceived image. The most apparent image gap lies in the discrepancy between the authority-projected high accessibility and visitor-perceived low park-city proximity.
Active trachoma: enhancing image classification using pretrained SOTA models and explainable AI

Trachoma, an infectious disease that leads to blindness, continues to pose a significant public health challenge in over 40 countries as of 2023. The initial phase of this disease, “active trachoma” is characterized by inflammation and can be effectively treated with non-surgical interventions. However, if left untreated, it progresses to the “scarring” phase, often requiring surgical intervention. Earlier detection of “active trachoma” is critical to prevent unnecessary surgery and also to reduce the transmission of the infection. Developing accessible tools for a region with limited resources is necessary. Deep neural networks have proven their effectiveness in numerous image and vision-related tasks, yet research on “active trachoma” has received still little attention.In this study, we adapted several pre-trained state-of-the-art deep neural network models like ResNet, Xception from image classification on “active classification” task. Further experiments were also conducted in three cases: training from scratch, training from pretrained models on raw images and on region-of-interest (ROI) focused images.The results indicate that these models outperformed the previous studies using the same dataset, achieving an improvement of 6\% on detection of follicular trachomatous inflammation and 12\% for detection of intense trachomatous inflammation. Furthermore, we employed the eXplainable Artificial Intelligence tool Grad-CAM, which revealed a significant discrepancy between eyelid's geometric centroid and attention centroid from models with high classification accuracy. This finding suggests that the conventional method of selecting a region of interest based on the geometric centroid may need to be adjusted. Using XAI can offer valuable insights into understanding the classification and progression of active trachoma.
Gravity Structure around Mt. Pandan, Madiun, East Java, Indonesia and Its Relationship to 2016 Seismic Activity

Abstract Java Island is part of the island arc influenced by subducting Indo-Australian beneath Eurasian tectonic plates, therefore there is high seismic activity and an active volcanic chain trending East-West. One of the volcanoes in Java Island is Mt. Pandan, northern part of Madiun, East Java region, which is known as one of the dormant volcano in the region. According to the list of volcanoes in Indonesia Mt. Pandan is not classified as an active volcano. The previous studies mentioned that Mt. Pandan is a modern volcano which is located in the Kendeng zone. On June 25, 2015, there was felt earthquake (M 4.2) causing several houses damaged around Mt. Pandan as reported by Agency for Meteorology, Climatology, Geophysics (BMKG), Indonesia and then in February 2016, more than twenty small earthquakes (M < 4) occurred again in the area. In order to understand the structure beneath Mt. Pandan, we have conducted gravity measurement and seismicity analysis through hypocenter relocation. Our results show prominent low gravity and density anomalies by forward modeling derived from residual anomaly around Mt. Pandan area. The clusters of small earthquakes appear at depths of less than 30 km beneath Mt. Pandan. The selected focal mechanism of the event in the area is left-lateral faulting in the north and oblique dominant thrust in the south of Mt. Pandan. Some indications related to submagmatic activities such as hot springs and warm ground is found. Our interpretation is this phenomenon may be related to tectonic and magmatic activities. On the other hand, it confirms also that Mt. Pandan is probably a modern volcanic center.
Applying the ZPD to Language Teaching: A Study of the Integration of an Online Assessment Tool into a Chinese Programme

During the time of Covid-19, language teaching faced numerous challenges and underwent significant changes. Online teaching platforms emerged as valuable tools in the digital learning environment. However, there has been limited exploration of how technologies are integrated into the online learning context, particularly in terms of supporting assessment design and promoting learner agency. To address this gap, the current paper conducted a study at an Irish university, involving eight students over the course of one academic year. These students were provided with both formative Loop quizzes for reviewing their learning content and summative Loop quizzes as continuous assessment tests. The qualitative research data for this study were gathered through participants’ questionnaires. The findings indicated that Loop quizzes as a mediating tool effectively complemented students’ synchronous learning in a flexible and efficient manner. An essential aspect of this project was the examination of the social context in which students demonstrated responsible learning actions and experienced areas for improvement under the guidance of the teacher. The pedagogical model employed in this study was derived from the Vygotskian Zone of Proximal Development, which demonstrated the development of learner agency. The potential study extends to offer insights for language educators as they seek to adapt their teaching practices to cater to the evolving needs of contemporary language learners.
An Overview of Freshwater and Marine Finfish Aquaculture in Spain: Emphasis on Regions

ABSTRACT Aquaculture is growing at an accelerating pace due to globalization and the disproportionate increase in human population growth in past decades. Thus, it has become one of the main sources of food globally due to its production capacity which, predictions suggest, could surpass extractive fishing in a few years. This situation has led to the fact that, within the sector, fish aquaculture production is the most important reaching 50% of the total production, where freshwater finfish are predominant, accounting for 96% of finfish aquaculture production globally. Despite this global scenario, in the past 10 years Spain has kept developing an opposing strategy to that of the rest of the world, supporting marine production at the expense of freshwater production, in spite of the high finfish aquaculture potential of the country. A new strategy would allow boosting the freshwater finfish aquaculture sector, at the same time investment has been made on marine production. A change in the productive mentality of the country would open up the possibility of reaching, at least, the same levels of total freshwater finfish aquaculture production of some neighboring countries such as France or Italy. In this paper the evolution of freshwater and marine fishing in Spain is analyzed, placing emphasis on some aspects such as the productive potential, species diversification, production at national and regional level, as well as commercialization.
Phytoconstituents, antioxidant, and cholinesterase inhibitory activities of the leaves and stem extracts of Artocarpus sericicarpus

The study aimed to investigate the antioxidant and cholinesterase inhibitory activities of the leaves and stems of Artocarpus sericicarpus and to analyse the phenolic compounds in the extracts. The modified Ellman’s method was used to determine the cholinesterase inhibitory activities against acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. The antioxidant properties were evaluated using DPPH and ABTS methods. The total phenolic content (TPC) was measured by spectrometric assay, and compound identification was carried out by LC-MS/MS analysis. The results showed that the leaf and stem extracts of A. sericicarpus exerted significant inhibitory effects against AChE and BChE, as well as antioxidant activities. The stem ethanolic extract exhibited the highest potency against AChE and BChE with IC50 values of 5.81 and 11.46 µg/mL, respectively. The leaf and stem ethanolic extracts gave higher antioxidant activities and TPC compared to the water-based extracts. The LC-MS/MS analysis indicated the presence of phenolic compounds, such as flavones, flavonols, flavanones, prenylated chalcones, and xanthones in the extracts.
Spatial tactile localization depends on sensorimotor binding: preliminary evidence from virtual reality

Introduction Our brain continuously maps our body in space. It has been suggested that at least two main frames of reference are used to process somatosensory stimuli presented on our own body: the anatomical frame of reference (based on the somatotopic representation of our body in the somatosensory cortex) and the spatial frame of reference (where body parts are mapped in external space). Interestingly, a mismatch between somatotopic and spatial information significantly affects the processing of bodily information, as demonstrated by the “crossing hand” effect. However, it is not clear if this impairment occurs not only when the conflict between these frames of reference is determined by a static change in the body position (e.g., by crossing the hands) but also when new associations between motor and sensory responses are artificially created (e.g., by presenting feedback stimuli on a side of the body that is not involved in the movement). Methods In the present study, 16 participants performed a temporal order judgment task before and after a congruent or incongruent visual-tactile-motor- task in virtual reality. During the VR task, participants had to move a cube using a virtual stick. In the congruent condition, the haptic feedback during the interaction with the cube was provided on the right hand (the one used to control the stick). In the incongruent condition, the haptic feedback was provided to the contralateral hand, simulating a sort of ‘active’ crossed feedback during the interaction. Using a psychophysical approach, the point of subjective equality (or PSE, i.e., the probability of responding left or right to the first stimulus in the sequence in 50% of the cases) and the JND (accuracy) were calculated for both conditions, before and after the VR-task. Results After the VR task, compared to the baseline condition, the PSE shifted toward the hand that received the haptic feedback during the interaction (toward the right hand for the congruent condition and toward the left hand for the incongruent condition). Dicussion This study demonstrated the possibility of inducing spatial biases in the processing of bodily information by modulating the sensory-motor interaction between stimuli in virtual environments (while keeping constant the actual position of the body in space).
Analisis Pengaruh Variabel Nilai TIU, TWK, Dan TKP Terhadap Kelulusan SKD Pada Tes CPNS Menggunakan Analisa Bivariat Sederhana

This study aims to assess the impact of the General Intelligence Test (TIU), National Insight Test (TWK), and Personal Characteristics Test (TKP) on the success of the Basic Competency Selection (SKD) for Civil Servant Candidate (CPNS). Using data from participants in the Ministry of Law and Human Rights' SKD selection in 2023, we employed univariate analysis, simple bivariate analysis, and binning methods to comprehend variable relationships. Results reveal non-normal distributions for TIU, TWK, and TKP scores, highlighting the intricate nature of distribution in CPNS selection. While a positive correlation exists between variable values and total SKD score, binning analysis emphasizes TKP competitiveness over TIU and TWK scores. These findings offer practical insights for SKD participants to prepare effectively, with a focus on TIU, TWK, and TKP. Additionally, they contribute to transparency and effectiveness in the CPNS selection process. Further studies are recommended to explore additional factors, like age and gender, for the development of more holistic and accurate selection methods. This research supports enhancements in the adaptive and efficient CPNS SKD selection system.
Unfolding genomic regions and identification of novel marker-trait associations for therapeutic traits flavonoid and anthocyanin content in rice (Oryza sativa L.)

The genetic diversity, structure analysis, and marker-trait association for total flavonoid content (TFC) and anthocyanin content (AC) were studied in rice using 79 germplasm lines with 210 polymorphic microsatellite markers. Among the landraces studied, RG83 (RPHP 93) had the highest level of TFC (227.78 QE/100g) and RG126 (Kallimadayan) contained the highest level of AC (0.416 CE/100g). The STRUCTURE analysis grouped the studied landraces into three genetic structure groups which nearly matched the geographical distance. The results of the marker-trait associations study using MLM with PCA and kinship indicated that the SSR markers RM287 and RM19358 were closely associated with AC while another two markers RM452 and RM 2197 were closely linked with TFC and these two markers were found to be in the genomic regions related to the candidate genes for TFC and AC biosynthesis. In addition, the markers RM10961, RM5963, and RM559 were also found to have significant marker-trait associations with both AC and TFC.
Spatio Temporal Land Use Land Cover Change Mapping of Malete Elemere: Implication on Development Planning of Emerging Communities

The use of Ecosystem and Biodiversity mapping, land use land cover change detection has been advocated in preparation of developmental master plan in towns and cities. Noticeable changes have been observed within Malete Elemere community since the establishment of Kwara State University Malete, yet its spatial pattern and socio ecological implication have not been investigated. This work seek to determine and produce land cover land use change map of Malete Elemere over the last 10 years and post 15 year periods through change detection techniques so as to evaluate the impact of the establishment of Kwara State university on the settlement spatial development. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) satellite images of 2005, 2010 and 2015 of the study area were acquired from USGS at spatial resolution of 30 m. Radiometric correction were applied to all the images using radiance modules in Idrisi32 with radiance spectral value set at DN 0 (Lmin) and 255 (Lmax). An unsupervised classification was carried out on the composite images of bands 4,3,2,1 for all the selected years to identify possible maximum spectral reflectance classes, this was followed by supervised classification using training sample from the field survey from which image to image spatio-temporal changes statistics were extracted. To generate a prediction of LULC changes for 2025, Cellular Automata-Markovian transition estimator (CA-Markov) in Idrisi32 was used. Various Kappa statistics was used to evaluate the performance of prediction with an average K statistics of above 0.83 recorded. The result shows that built up area gained an astronomical increase (180%) between 2005 and 2015 while forest lost significantly (34%) within the same periods, with most of the gains occurring in 2010 and 2015 after the establishment of KWASU. By 2025, two Major growth pole centres will emerge along Malete Elemere Axis and one minor in Jenkunu Omoni Axis which will exert a great stress on infrastructural facilities and may create a chaotic condition if left unattended to.
Compulsive Internet usage and social isolation among university students in Malaysia: Internet abuse

The purpose of this study was to investigate the relationships between Internet usage, social isolation, and Internet addiction among university students. The study used a quantitative method and questionnaires to measure the ‘problems of using the Internet’, ‘patterns of Internet usage’, ‘social isolation’, and ‘Internet addiction’. The study included 440 students from the University Putra Malaysia, chosen using a stratified random sampling method. The majority of the respondents were single (93.20%) and aged between 23 to 40 years old. The study found a significant relationship between ‘problems of using the Internet, social isolation, and Internet addiction’. However, there was no statistically significant relationship between the patterns of using the Internet and social isolation. The t-test result showed that no significant mean differences were found among marital status, field of study, social isolation, and Internet addiction. Implication of the study discussed.
Evaluation, in a highly specialised enzyme laboratory, of a digital microfluidics platform for rapid assessment of lysosomal enzyme activity in dried blood spots

Abstract Lysosomal storage disorders (LSDs) are predominantly enzyme deficiencies leading to substrate accumulation, causing progressive damage to multiple organs. To date, a crucial part of diagnosing LSDs is measuring enzymatic activity in leucocytes, plasma, or dried blood spots (DBS). Here, we present results from a proof‐of‐principle study, evaluating an innovative digital microfluidics (DMF) platform, referred to as SEEKER®, that can measure the activity of the following four lysosomal enzymes from DBS: α‐L‐iduronidase (IDUA) for mucopolysaccharidosis I (MPS I), acid α‐glucosidase (GAA) for Pompe disease, β‐glucosidase (GBA) for Gaucher disease, and α‐galactosidase A (GLA) for Fabry disease. Over 900 DBS were analysed from newborns, children, and adults. DMF successfully detected known patients with MPS I, Pompe disease, and Gaucher disease, and known males with Fabry disease. This is the first demonstration of this multiplexed DMF platform for identification of patients with LSDs in a specialised diagnostic enzyme laboratory environment. We conclude that this DMF platform is relatively simple, high‐throughput, and could be readily accommodated into a specialised laboratory as a first‐tier test for MPS I, Pompe disease, and Gaucher disease for all patients, and Fabry disease for male patients only.