Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating Groundwater Recharge Using a Surface Watershed Model: Analyses of Errors in Recharge Estimates Due to Errors in Input Data

The application of the daily version of the Monash rainfall-runoff model to estimate groundwater recharge is briefly described in the first sections of this paper. Modelling was carried out in both the irrigated and non-irrigated areas in the northern half of the Campaspe River Basin in north-central Victoria. The second subject of this paper is on the analyses of errors in the recharge estimates due to errors in the input data. Random and normally distributed errors are applied to the original data set, and the analyses carried out to investigate the significance of these errors on the recharge estimates. The modelling results and error analyses indicate that this modelling approach can be used successfully to predict recharge rates.
Impact of Climate Variability on Maize Yields in Southern Togo (Tabligbo)

: Climate variability continues to threaten agricultural productivity worldwide, especially in Togo where crop production is mostly rainfed-based. This study aims to investigate the impact of climate variables on maize yields in the Maritim region of Togo. Climatic data from 1980 to 2022 and maize yield data from 1990 to 2021 were collected. The Mann-Kendall test and Sen's slope estimator were applied to analyze the trends of climatic variables such as minimum and maximum temperatures and precipitation. Multiple linear regression analysis was used to test maize yields against historical climatic variables. The results of the study showed increasing trends in annual temperatures. The minimum temperature increased by 0.05°C per year in Tabligbo and 0.03°C in Lomé; whereas the maximum temperature showed an increasing trend of 0.03°C per year in both locations. The rainfall significantly increased (p<0.05) in Lomé and Tabligbo by 2.29 and 1.6 mm per year, respectively. Any significant impact of climate variables on maize yields was not observed at all locations. A non-significant positive relationship was observed between rainfall and maize yields in Tabligbo. Likewise, a non-significant positive relationship between minimum temperature and maize yields in Tabligbo was noticed. The results of our study indicate that policymakers should actively endorse sustainable agricultural practices. This support would enhance the resilience of maize production in the face of climate variability and change, simultaneously boosting farmers' adaptive abilities and their income prospects.
A Novel Consumer Preference Model Based on Blockchain and Topic Similarity Clustering in Cross-Border E-Commerce

Nowadays, countries in the world have frequent economic exchanges, and the scale of cross-border E-Commerce (CBEC) is getting larger and larger. CBEC refers to trading, payment, logistics, customs clearance, and other transactions. It also refers to the services between countries or regions through Internet technology and e-commerce platforms. In this article, the authors proposed a consumer preference model by blockchain and topic similarity clustering to obtain more consumer preference information. First, this article builds a blockchain-based consumer information collection system for CBEC to extract various features of consumers in CBEC. Secondly, by improving the performance of multiple characteristics of consumers, the accuracy of consumer preference prediction is improved. Finally, a method of consumer preference prediction based on topic similarity clustering is proposed to obtain consumers' purchase preference types. Experimental results show that the method can reach 84.3% of the H-mean, getting the best predictive performance and assisting CBEC by predicting consumer preferences.
Effect of Auto-Erased Sketch Cue in Multiuser Surgical Planning Virtual Reality Collaboration System

Many researchers have introduced Virtual Reality (VR) systems for various medical applications. One of the typical applications is a medical collaboration system that helps users collaborate in a virtual reality environment while physically staying in different places. In this research, we explore the effect of the using 3-second sketch communication cue in a collaborative VR system for two surgeons planning surgery, when a head-gaze pointer and hand-gesture are available as the baseline communication cues. We conducted a user study comparing four conditions according to the availability of the auto-erased sketch cue by two collaborators: the message provider and receiver. The results demonstrated the benefits of the 3-second sketch communication cue that increased the level of usability and message understanding between two collaborators and decreased the required task load. We additionally found that the sketch cue would be more beneficial if it was erased after finishing each collaborator’s communication turn rather than after three seconds. With the lesson learned from the user study, we propose six design principles for the multiuser planning surgery VR system: 1) 3D reconstructed body model should be supported, 2) the cross-sectional view at any angle and position should be supported, 3) visual communication cues, such as sketches, pointers, and hand gestures, are crucial for communication, 4) the erasing sketch should occur when the next sketch starts being drawn 5) the system should support permanent annotations, 6) the system should control the transparency of the hand gestures and head-gaze pointers to mitigate the effect of occlusions.
The Future Population of Beijing——A Projection on the Population,Human Capital and Urbanization using PDE Model

Employing the PDE (Population-Development-Environment) Model,this paper projected the population change of Beijing during 2000-2030 taking 2000 population census as base year data.The population project of Beijing in this paper not only focused on the number of population in urban and rural Beijing and its age structure,but also tried to project the human capital (education) in future.The paper compared the population and human capital change under different fertility and migration scenarios,and also provided suggestions to population and urban planning based on the population projection of Beijing.
MFN: A Multi-hop Fusion Network for Traffic Accident Risk Prediction

Traffic accident risk prediction plays a pivotal role in mitigating of road accidents, which often involve a multitude of factors such as traffic events, weather conditions, and road environments. Existing research has struggled to adequately capture and leverage the intricate interrelationships among these attributes for enhancing accident risk prediction. In this work, we introduce a multi-hop fusion network (MFN) for traffic accident risk prediction. The primary motivation behind MFN is that we believe the interrelationships among diverse attributes evolve over time. Our MFN incorporates multiple hops, progressively focusing on interactions between different attributes at each stage. This enhances the comprehension of underlying patterns and amplifies the precision of traffic accident prediction. We conduct extensive experiments on the data of 6 cities on the US-Accidents dataset. Experimental results illustrate significant performance advancements in traffic accident prediction achieved by our MFN.
Responses of Phytoplankton Communities to the Effect of Both River Plume and Coastal Upwelling

River plumes and coastal upwelling systems are both nutrient‐abundant habitats compared to the open ocean, and the mechanisms that structure the phytoplankton community when these occur together are unclear. In this study we investigated the dynamics and drivers of phytoplankton biomass and community composition in the Pearl River plume‐coastal upwelling system on the northern South China Sea shelf during summer. We found that phytoplankton biomass was lower in the plume than in upwelled water. Diatoms were the only dominant group in the upwelled water. In contrast, diatoms and Synechococcus were co‐dominant in the plume, and the negative correlation between the proportions of these two groups indicated that they occupied distinct niches. The lower phytoplankton biomass in plume waters was due to nutrient limitation, and there was a transition from limitation by phosphorus to limitation by nitrogen in the plume along its path. This bottom‐up control limited only diatoms, whereas Synechococcus was limited mainly by top‐down control via microzooplankton grazing. This difference led to niche differentiation of the dominant phytoplankton groups in the plume‐upwelling system. This discovery of niche differentiation enhances understanding of food web structure and will facilitate modeling of marine biogeochemical cycles.
The mediating role of general self-efficacy in the relationship between metacognition and academic success of university students

The objective of this study was to investigate the relationships between metacognition, general self-efficacy, and academic success among university students, and to examine the mediating role of general self-efficacy in these relationships. The study used a correlational research design and 360 university students participated by completing the Demographic Information Form, General Self-Efficacy Scale, and Metacognition Scale-30. Pearson correlation coefficients were used to analyze the relationships between variables, while structural equation modeling was employed to test the mediating role of general self-efficacy. The findings showed that there were positive associations between academic success and both metacognition and general self-efficacy. Furthermore, general self-efficacy was found to partially mediate the relationship between metacognition and academic success. The results suggested that supporting students' general self-efficacy beliefs could lead to increased metacognitive awareness and improved academic success. The implications of these findings were discussed in terms of higher education policies. In summary, the study highlights the importance of metacognition and general self-efficacy for academic success among university students and underscores the need for interventions that aim to enhance these factors
The Quantum-Medical Nexus: Understanding the Impact of Quantum Technologies on Healthcare

In a world characterized by rapid technological evolution, the integration of quantum technologies into the realm of healthcare has emerged as a transformative force. This narrative review explores the journey of quantum innovations in medicine, delving into the fundamental principles of quantum mechanics that underpin quantum computing, sensing, and communication. From the birth of quantum theory to the advent of practical quantum applications, we journey through historical milestones that have paved the way for a quantum-powered future in healthcare. The narrative unfolds to reveal the profound implications of quantum technologies in healthcare, ranging from accelerated drug discovery and genomic analysis to secure data transmission and telemedicine. Real-world case studies illuminate successful applications, while the review addresses the ethical, societal, and regulatory considerations that accompany this quantum revolution. As we peer into the future, we contemplate the challenges that lie ahead and offer recommendations for researchers and policymakers to forge a harmonious and equitable synergy between quantum and medicine. In a world where innovation outpaces the tick of the clock, this narrative review serves as a timely guide for those poised to shape the quantum healthcare landscape, where precision and compassion converge and the possibilities are limitless.
Genome-Wide Identification and Involvement in Response to Biotic and Abiotic Stresses of lncRNAs in Turbot (Scophthalmus maximus)

Long non-coding RNAs (lncRNAs) play crucial roles in a variety of biological processes, including stress response. However, the number, characteristics and stress-related expression of lncRNAs in turbot are still largely unknown. In this study, a total of 12,999 lncRNAs were identified at the genome-wide level of turbot for the first time using 24 RNA-seq datasets. Sequence characteristic analyses of transcripts showed that lncRNA transcripts were shorter in average length, lower in average GC content and in average expression level as compared to the coding genes. Expression pattern analyses of lncRNAs in 12 distinct tissues showed that lncRNAs, especially lincRNA, exhibited stronger tissue-specific expression than coding genes. Moreover, 612, 1351, 1060, 875, 420 and 1689 differentially expressed (DE) lncRNAs under Vibrio anguillarum, Enteromyxum scophthalmi, and Megalocytivirus infection and heat, oxygen, and salinity stress conditions were identified, respectively. Among them, 151 and 62 lncRNAs showed differential expression under various abiotic and biotic stresses, respectively, and 11 lncRNAs differentially expressed under both abiotic and biotic stresses were selected as comprehensive stress-responsive lncRNA candidates. Furthermore, expression pattern analysis and qPCR validation both verified the comprehensive stress-responsive functions of these 11 lncRNAs. In addition, 497 significantly co-expressed target genes (correlation coefficient (R) > 0.7 and q-value < 0.05) for these 11 comprehensive stress-responsive lncRNA candidates were identified. Finally, GO and KEGG enrichment analyses indicated that these target genes were enriched mainly in molecular function, such as cytokine activity and active transmembrane transporter activity, in biological processes, such as response to stimulus and immune response, and in pathways, such as protein families: signaling and cellular processes, transporters and metabolism. These findings not only provide valuable reference resources for further research on the molecular basis and function of lncRNAs in turbot but also help to accelerate the progress of molecularly selective breeding of stress-resistant turbot strains or varieties.
The Relationship of Perceived Usefulness (PU) and Attitude Towards Using (ATU) in Students of Scola Users Learning Biology at Dedikasi Edukasi Kualiva Senior High School

The material on Biology subjects is broad and abstract concepts, so that online biology learning media such as e-learning are needed. Based on observations, Dedekadasi Edukasi Kualiva (DEK) SHS is one of the private schools in Padang that uses Scola as an e-learning platform in biology learning even though learning is done offline. However, it has never been analyzed the success of the use of Scola in biology learning in high school deck with any instrument so it is not known the relationship of PU with ATU in students using Scola biology learning in DEK high school. The purpose of this study was to determine the relationship of PU with ATU in students using Scola biology learning at DEK high school. This type of research is descriptive correlation with quantitative approach conducted at DEK high school. The sample consisted of 48 students, in Class X Phase E, XI science, and XII science, with sampling techniques, namely total sampling techniques. Analysis of the data used is Pearson product moment correlation test and t test after knowing the normal distribution of data. The results of the study using Pearson product Moment correlation test showed a positive correlation with the value of r = 0.7587 (strong correlation) and the value of the count (7.899) > table (1.679). These results indicate that the hypothesis is accepted. Therefore, PU has a significant positive relationship to the Attitude towards Using (ATU) in students who use Scola biology learning at DEK high school.
Robust Stereo Road Image Segmentation Using Threshold Selection Optimization Method Based on Persistent Homology

This paper introduces a novel method for road target segmentation in the context of autonomous driving based on stereo disparity maps. The proposed method utilizes topological persistence threshold analysis to address the challenges of selecting appropriate thresholds. The approach involves converting stereo road images into uv-disparity maps, extracting road planes using v-disparity maps, and calculating occupancy grid maps using u-disparity maps. Persistence diagrams are then constructed by generating segmentation results under various threshold parameters. By establishing persistence boundaries in these diagrams, the most significant regions are identified, enabling the determination of robust segmentation thresholds. Experimental validation using KITTI stereo image datasets demonstrates the effectiveness of the proposed method, with low error rates and superior performance compared to other segmentation methods. The research holds potential for application in autonomous driving systems.
Online MTPA Control of IPM Motor Using NN-Based Perturb and Observe Algorithm

In commercial electrical equipment, interior permanent magnet (IPM) synchronous motors undergo variations in temperature and parameters under different operating conditions. Conventional maximum torque per ampere (MTPA) control using fixed parameters lacks accurate motor parameter information, which can negatively impact the operating efficiency of electrical equipment. To address the above problem, this paper proposes a simple online MTPA control method without motor parameters. To approximate the interface structure of the conventional MTPA controller, a back propagation neural network (BP-NN) adjuster with a space vector decomposer is designed as the MTPA controller. Moreover, by leveraging the similarity between the loss function of the BP-NN and the stator current representing the efficiency of the IPM motor, the teacher signal is cleverly chosen to update the parameters of the BP-NN online. In the discrete domain, the motion mechanism of the proposed method is analyzed and characterized by the perturb & observe technique. Compared to the conventional MTPA control using fixed parameters, the feasibility and high efficiency of the proposed method for copper-loss-minimization control were validated in the simulation. The feasibility of the proposed method was further validated in simulated scenarios involving sudden changes in torque and speed. Furthermore, the transient characteristics of the output stator current were analyzed. Overall, the proposed method can achieve true online MTPA control without motor parameters.
Analysis Of Factors Affecting The Use Of Smartphone Digital Applications By Tourists In Yogyakarta When Traveling In The New Normal Period

The covid-19 epidemic has severely harmed the pariwisata sector, resulting in the cancellation of several events and services due to the requirement to quarantine a sizable region to stop the virus from spreading. A new form of worker compromise is required in this new normal, and that is the use of technology. The purpose of this study is to determine the variables that have the most impact on students' use of digital smartphone applications to be ready for the new normal. To give a more thorough knowledge of the difficulties encountered when employing pariwisata digital apps during pandemics, this study makes use of TAM and TPB. While the TPB offers work-related information, the TAM describes aspects of application usability and perception.
Development of an Online Supporting System Flood Warning for Vu Gia Watershed, Quang Nam Province, Vietnam: Conceptual Framework and Proposed Research Techniques

Vu Gia Watershed is located in the Central Vietnam where hurricanes pose a constant natural threat to human lives and physical infrastructure. Hydrological monitoring is considered as an effective tool to respond to high floods by preventing and mitigating the losses. The purpose of this study was to conduct and perform hydrological modeling to determine the flood-prone areas during the high rainfall season in the upstream Vu Gia Watershed. The methodology involved: hydro-climatic database building, a detailed Digital Elevation Model (DEM), a land use cover, and a soil map of the basin. With all these data, the SWAT model (Soil and Water Assessment Tool) was used to predict discharge values. These discharge values were used, along with the DEM, to predict flood hazard areas in the downstream of Vu Gia Watershed floodplains. This procedure was made using the HEC-RAS model (Hydrological Engineering Center-River Analysis System). The results show the exact location of areas with high, moderate and low risk, which are to be flooded at specific high floods. The results also provide the location in critical situation, so that an early warning system can be located. Additionally, as a part of this study, valuable information about how to prevent and mitigate the affects of flood-related damage was provided to residents at risk in the low land areas of the Vu Gia Watershed.
Design of independently tunable dual Fano devices based on asymmetric microrings

In order to optimize the specrum of Fano resonance at multiple positions at the same time and maximize the value of multiple Fano resonances, this paper proposes a new asymmetric dual microring coupled device structure. In this structure, two air holes are embedded in the bus waveguide as reflection units to form a Fabry-Perot (FP) cavity, and two microrings with different radii are coupled on the upper and lower sides of the bus waveguide to achieve double Fano resonance. The transmission spectrum of the proposed device structure and the electric field distribution of the resonant cavity are simulated by using the finite difference time domain (FDTD) method. The frequency and line shape of the Fano resonance are changed by dynamically changing the refractive index of the upper and lower microring resonator parts, thereby realizing independent tunability of the dual Fano. The proposed asymmetric double microring coupled resonator has a single resonant peak extinction ratio of up to 35.95 dB and a slope of 189.2 dB/nm. The device proposed in this paper has good independent tunability, simple structure and sufficient flexibility, which can be used in multi-wavelength optical switches, dual-function sensors and other occasions.
Relationship between students’ economic, cultural, and social status, school climate and student achievement in Indonesia

PISA 2018 data shows that, in Indonesia, the relationship between students’ economic, cultural, and social status and their scores on reading achievement is weak. However, there is great variation between schools in average reading achievement with over 40% of the explainable variation in reading achievement being between-schools. In addition, in Indonesia, there is low social diversity across schools (students within schools are likely to be of similar economic, cultural, and social background). These conditions raise the question of whether school factors play a role – specifically whether school climate has a compensating, mediating or moderating effect on the relationship between students’ and schools’ economic, cultural, and social status and achievement. Using regression analysis, it was found that, in Indonesian schools, the composition of student body in terms of economic, cultural, and social status plays a significant role in explaining differences in reading achievement between schools. School climate was found to compensate and mediate the relationship between school economic, cultural, and social status and school reading achievement, particularly those dimensions related to classroom climate, student respect for diversity, school discrimination climate, student sense of belonging and teacher support and directed instruction practices. Only student sense of belonging was found to play moderating role in the relationship between school economic, cultural, and social status and school reading achievement, a finding that requires further investigation.