Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Method for Calculating Electric Field Intensity on Subconductors in Unconventional High Voltage, High Power Density Transmission Lines

The electric field intensity on subconductors is the most important parameter to consider when electrically designing (extra) high voltage, (E)HV, transmission lines. In this regard, it is not possible to use existing formulae for calculating electric field intensity on subconductors, which are for subconductors placed symmetrically on bundle circles, for recently introduced unconventional high power density lines where subconductors can be located in unsymmetrical or at any location in the space. Further, in existing formulas, nearby (other phases) and image conductors are ignored, and a uniform field is assumed despite the fact that electric fields are distorted in the presence of other subconductors in a bundle. None of the mentioned assumptions are valid for unconventional high power density lines, so it is necessary to develop an innovative method for calculating electric field on subconductors on these new lines. In our method, $n_{m}$ line charges for each subconductor are employed to set the electric potentials of $n_{m}$ points at the periphery of that subconductor equal to the applied voltage. The line charges are uniformly distributed around a hypothetical cylinder with a radius of $r/2$, where $r$ is the radius of that subconductor. The challenge is choosing a proper $n_{m}$, leading to an accurate result.
European Red List of Habitats : Part 2. Terrestrial and freshwater habitats

The first ever European Red List of Habitats reviews the current status of all natural and semi-natural terrestrial, freshwater and marine habitats and highlights the pressures they face. Using a modified version of the IUCN Red List of Ecosystems categories and criteria, it covers the EU28, plus Iceland, Norway, Switzerland and the Balkan countries and their neighbouring seas. Over 230 terrestrial and freshwater habitats were assessed. The European Red List of Habitats provides an entirely new and all embracing tool to review commitments for environmental protection and restoration within the EU2020 Biodiversity Strategy. In addition to the assessment of threat, a unique set of information underlies the Red List for every habitat: from a full description to distribution maps, images, links to other classification systems, details of occurrence and trends in each country and lists of threats with information on restoration potential. All of this is publicly available in PDF and database format (see links below), so the Red List can be used for a wide range of analysis. The Red List complements the data collected on Annex I habitat types through Article 17 reporting as it covers a much wider set of habitats than those legally protected under the Habitats Directive.
A User Influence Network Construction Approach Based on Web Mining and Social Network Analysis

With the rapid development of Mobile Internet, user-generated contents have become important user data sources. It has been well recognized that users' attitude and purchase decisions may be influenced by others. However, it has not been fully revealed that how such influence will be formed, and how users' attitudes and requirements will be changing under the user influence. To tackle the problems, a data-driven approach was proposed to track the user influence on their product/service requirements, and then construct a user influence network to show the specific connections. To illustrate the proposed approach, a case study on RED (a social media APP) was performed. More than 500 fans of electric car were investigated. Based on their online behaviors, such viewing, reposting, or liking, a time-series user social network was constructed. The results show that the main EVs features that attract users remain similar, but the specific focus, such as the fashion color, grade, is changing under user influence. It can help enterprises to deeply understand the essential product features from user perspective, and the dynamic user expectations.
Three-Dimensional Modeling and Calculation of the Electric and Thermal Field Distribution in Composite Insulators with Different Types of Defects

In recent years, several incidents of abnormal heating in composite insulators have been witnessed during operation, which is regarded as the early stage of FRP rod degradation. The abnormal heating behavior generally stems from the increase of leakage current inside the composite insulators, and the increased current density is closely related to the specific defects or failures located in different domains. This paper deals with several types of defects in composite insulators, calculates the current density distribution in each case with a three-dimensional finite element model, and analyzes the concentration areas of local electric field or current density. Potential partial discharge and local heating behaviors are analyzed. It is also concluded that the radial current in the silicone rubber sheath caused by the distorted potential distribution along the degraded rod-sheath interface is one of the possible reasons for the lateral punch holes in the failed silicone rubber sheath. This study provides theoretical support in failure identification of composite insulators based on the IR thermal detection.
Development of a High-Power 25 kW PFC Converter with High-Efficiency of 99.6%

This paper presents an approach to enhance the efficiency of PFC by directly mounting SiC Bare Die MOSFETs on direct copper bonding substrates. Eliminating the need for separate packages effectively reduces parasitic inductances, leading to reduced switching time of the MOSFETs. Moreover, the direct placement of chips on a copper plate enables efficient heat transfer to the ambient and contributes to the overall system's size reduction. The $\text{SiC}$ MOSFET chips are connected to the PCB using aluminum bond wires. Prior to the PFC stage, an active rectifier utilizing four conventional SiC MOSFETs is employed. The energy lost during operation is accurately measured using the calorimetry method, enabling precise determination of efficiency. Experimental results demonstrate the significant reduction in switching and conduction losses and improved efficiency achieved by the proposed approach compared to conventional power electronic systems. This approach offers the potential to develop high-power systems with improved efficiency, resulting in reduced energy costs and passive cooling.
Partial discharge from high voltage conductor defects detection and classification

Partial discharge (PD) is a form of electrical discharge that happens when there are defects or imperfections in the insulation surrounding conductors. PD can result in gradual insulation degradation, heating, arcing, and potentially equipment failure if not detected and addressed promptly. This paper aims to address the detection and classification of partial discharge defects in high voltage conductors, highlighting the importance of such detection and its potential impact on safety. This paper proposes an approach for the detection and classification of partial discharge defects in high voltage conductors, such as bird caging, strand arching, conductor burr and broken conductor. The methodology involves a Phase-Resolved Partial Discharge (PRPD) pattern to analyze the characteristics of PD signals. By extracting relevant features, different types of PD defects can be identified, allowing for targeted maintenance and risk mitigation strategies.
Prediction of Football Players' Performance Indicators via Random Forest Algorithm

Performance evaluation of professional sport players is a crucial step in monitoring their physical and technical development, the quality of training sessions, and the progress of their skills. Performance evaluation is considered fundamental in competitive sports, particularly team sports like football, where monitoring different players is necessary to enhance their performance. Therefore, predicting future players' performance can be an important tool to improve training sessions and, consequently, the athletes' technical progression. Forecasting performance in football requires a wide range of data. Among them, biometric ones play an important role. These data can be acquired through the use of sensors embedded in players' vests and subsequently analyzed using machine learning algorithms. In this study, we collected a dataset containing 4 biometric parameters and 7 performance indicators during the training sessions of 20 football players, utilizing sensors embedded in their vests. The collected data were analyzed using a Random Forest model tuned on various sets of hyperparameters, from which we selected the best-performing combination. To identify the most accurate set of biometric parameters to predict the performance indicators, we implemented a backward selection algorithm. The results demonstrate that different combinations of biometric parameters can predict various performance indicators with an accuracy exceeding 90%. These findings suggest that this methodology can effectively predict football players' performance and serve as an efficient technique to monitor underperformance, aiding in the design and implementation of targeted training sessions
Continuance Usage Intention of Wearable Healthcare Technology: A Comparison of Younger and Older Users

Wearable healthcare technology (WHT) has been developed for a more active and healthier lifestyle. However, after adoption, many users abandon it. Therefore, this study aims to identify important factors contributing to WHT's continuance usage intention, separating younger and older users. A questionnaire was developed, including ten WHT-related factors: functionality and accuracy, ease of hardware use, ease of software use, effectiveness, privacy protection, social value, epistemic value, emotional value, perceived control, and concentration. The online survey was conducted and collected responses from 378 WHT users, of which 278 were under 50 years old. The regression results showed that the ease of hardware use positively influenced all the users' continuance usage intention. In addition, perceived social value and epistemic value contributed significantly to younger users' intention; while perceived control had a significant impact in the older-user group. Therefore, to improve WHT's continuance usage, companies need to focus on the ease of hardware use; to design WHT that can draw younger users' curiosity and expand WHT-related social connection; and to support older users about how to use WHT for their personal healthcare management.
Modeling, Optimization, and Musculoskeletal Simulation of Elbow-Wrist Exosuit

Exosuits present intriguing structural advantages compared to exoskeletons; nevertheless, accurately modeling and simulating their effectiveness when integrated with the musculoskeletal system of the user poses formidable challenges. As regards the upper limb, there are limited approaches and models in the literature that consider both the complexities of the musculoskeletal system and the optimization of the exosuit interface. In this work, we propose an extensive approach that considers both a mathematical model of a wrist-elbow exosuit, and simulations of a complex upper limb musculoskeletal system. The kinematic and dynamic model of the exosuit allows for the optimization of the anchor points, while the simulation provides information on muscular loading with and without assistance. In the presented results we have developed and validated personalized musculoskeletal models with kinematic, anthropometric, and electromyographic data we measured in a load-lifting task. The results of the simulations show the effectiveness of the optimized exosuit and reveal the impact of the exosuit at the level of the whole upper limb, and not limited to the actuated districts only.
Workload-based Extensions of Mixed-integer Programming Models for Resource-constrained Project Scheduling

The resource-constrained project scheduling problem describes a situation in which the duration of a project must be minimized by choosing a start time for each project activity subject to given precedence constraints and resource capacities. Various mixed-integer programming models exist for this problem. Approaches that extend these models to enhance their performance are often formulation-specific or cannot be easily integrated with the original model, which limits their practical applicability. We suggest a model extension based on auxiliary variables and redundant con-straints that describe workload limitations for certain subsets of the planning horizon. We apply our approach to three state-of-the-art models from the literature. A computational evaluation demonstrates that the extension is beneficial to all three models tested.
Physicochemical Characters and Fatty Acid Composition of Payena lucida Seed Oils

Introduction: Payena lucida A.DC. seed oil has long been used as edible oil and treating various kinds of diseases as oral and topical applications in some local areas of Myanmar. Objectives: This research aimed to identify and qualify the physicochemical characters and fatty acid composition of P. lucida seed oil. Materials and Methods: Two authentic seed oils of P. lucida were prepared and evaluated in comparison with two commercial seed oils. The physicochemical characters of the seed oils were determined by methods described in the USP 39 and the fatty acid composition were analyzed by GC-MS. Results: The physicochemical characters of authentic and commercial seed oil samples were not much different. Their specific gravities, refractive indices, acid values, saponification values, ester values and iodine values were 0.9117-0.9138, 1.4645-1.4652, 3.88-12.03 mg KOH/g, 210-213 mg KOH/g, 199-208 mg KOH/g, and 68.85-84.85 g I 2 /100g, respectively. The amount of saturated, monounsaturated and polyunsaturated fatty acids were 38-41%, 53-55% and 7-8%, respectively, with oleic acid (53-55%) as the major fatty acid. Conclusion: Quality of P. lucida seed oil was concluded in terms of physicochemical characters and fatty acid composition. Commercially available seed oils showed comparable quality with those of authentic seed oils.
Automated Invoice Processing System

Many companies still rely on manual data entry methods for managing their invoices. Some of these companies deal with a high volume of invoices in various formats daily, resulting in time-consuming processes and resource wastage. To address this issue, a proposal is made to implement an efficient automated invoice processing system using deep learning. This system aims to reduce workload and enhance productivity for companies. In addition, a comprehensive review and comparison of existing techniques and similar systems have been conducted to identify the most suitable solution for this scenario. The proposed work utilizes advanced deep learning computer vision techniques, a simple Convolutional Neural Network (CNN) based on RPN, and LeNet-5 is used to detect and classify text objects on invoice documents. This paper utilized scanned invoices to assess the system's performance. A dataset consisting of 1000 scanned English invoices from the Scanned Receipts OCR and Information Extraction (SROIE) dataset. The system will predict and extract specific regions such as invoice number, date, payer information, and total amount from the invoices. However, it has been observed that low-resolution and unclear invoices can negatively impact the accuracy of OCR (Optical Character Recognition) pattern-matching methods. To mitigate this issue, an image pre-processing method has been incorporated, which reduces image noise and corrects page skew to achieve better performance.
ORDOVICIAN CONODONTS FROM DRILLINGS IN THE TAKLIMAKAN DESERT, XINJIANG, NW CHINA

Thirteen drilling sections from the northern and central parts of the Taklimakan Desert in the Tarim Basin, Xinjiang have been measured and different conodont zonations in different facies are recognized. In descending order they are : Aphelognathus pyramidalis, Yaoxianognathus yaoxianensis Belodina confluens, Baltoniodus alobatus, Pygodus anserinus,P.serra, Paroistodus proteus,Glyptoconus quadraplicatus and Rossodus manitouensis Cordylodus rotundatus zones in the northern part, and Serratognathus diversus,Chosonodina and Rossodus manitouensis Cordylodus rotundatus zones in the central part. The conodont zonal correlation, biofacies and paleogeographic outline are also discussed and a new species Pygodus xinjiangensis is described here.
Analysis of a Novel High Power-Density Semiconductor-Level Interleaved Converter

This paper introduces a novel interleaved inverter topology for DC-AC conversion in power electronics applications. The proposed topology leverages a semiconductor-level interleaving technique to overcome the limitations of conventional interleaved inverters. Through comprehensive analysis and simulation studies, it is demonstrated that the interleaved inverter achieves higher power density and improved ripple frequency as compared to conventional counterparts. One of the main advantages of the proposed technology over conventional interleaving converters is the use of a single inductor, which enables its use not only in grid-tied applications but also in electric drives.
Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study

Motor imagery (MI) is widely used as input for brain-computer interface in neurorehabilitation fields; however, stroke patients often experience difficulty performing MI tasks, and the resulting signals can be weak. To enhance the MI signal, a virtual hand illusion (VHI)-based MI guidance system was developed, which has shown efficacy in healthy individuals. However, it is unclear whether body ownership can be transferred to stroke patients and whether this enhances their MI signal. In this study, we validated the VHI-based MI guidance system in two stroke patients with hemiparesis. Electroencephalography (EEG) was used to evaluate cortical activation and compare results with pure MI and conventional action observation (AO)-based MI guidance systems. Our results showed that the VHI-based MI guidance system induced stronger body ownership transfer and enhanced MI compared to the other methods. These findings suggest that the VHI-based MI guidance system is a promising approach to enhancing MI in stroke patients. Thus, it has the potential to contribute to stroke rehabilitation efforts by improving the effectiveness of brain-computer interface-based therapies.
MINI-REVIEW High-risk Human Papillomavirus Genotypes in Cervical Lesions and Vaccination Challenges in China

Cervical cancer, mostly progressing from cervical intraepithelial neoplasia, is a major cause of morbidity and mortality in Chinese women. This is largely due to high prevalence of high-risk human papillomaviruses (hr-HPVs) in the population. The prevalence of hr-HPV DNA in women and in cervical lesions women ranged from 9.9% to 17. % and from 50.5% to 70.9% in different regions of China, respectively. The most common genotypes somewhat differ between regions throughout the country and from those in many other countries. This may be a challenge to cervical cancer screening and prevention in China. Combined detection of particular HPV genotypes should be recommended in all geographical regions in China and greater attention must be paid to specific hr-HPV types during cervical cancer screening and follow-up of cervical lesions. Besides, vaccination for prevention of cervical cancer by particular HPV genotypes, has not been introduced to China so far. Updated knowledge on prevalent HPV genotypes should be provided to public health organizations to help with the development of more effective HPV vaccines, which can protect Chinese women against HPV types prevalent in local China and thus have a substantial impact on the cervical cancer burden.
Ambient groundwater flow diminishes nitrate processing in the hyporheic zone of streams

Modeling and experimental studies demonstrate that ambient groundwater reduces hyporheic exchange, but the implications of this observation for stream N‐cycling is not yet clear. Here we utilize a simple process‐based model (the Pumping and Streamline Segregation or PASS model) to evaluate N‐cycling over two scales of hyporheic exchange (fluvial ripples and riffle‐pool sequences), ten ambient groundwater and stream flow scenarios (five gaining and losing conditions and two stream discharges), and three biogeochemical settings (identified based on a principal component analysis of previously published measurements in streams throughout the United States). Model‐data comparisons indicate that our model provides realistic estimates for direct denitrification of stream nitrate, but overpredicts nitrification and coupled nitrification‐denitrification. Riffle‐pool sequences are responsible for most of the N‐processing, despite the fact that fluvial ripples generate 3–11 times more hyporheic exchange flux. Across all scenarios, hyporheic exchange flux and the Damköhler Number emerge as primary controls on stream N‐cycling; the former regulates trafficking of nutrients and oxygen across the sediment‐water interface, while the latter quantifies the relative rates of organic carbon mineralization and advective transport in streambed sediments. Vertical groundwater flux modulates both of these master variables in ways that tend to diminish stream N‐cycling. Thus, anthropogenic perturbations of ambient groundwater flows (e.g., by urbanization, agricultural activities, groundwater mining, and/or climate change) may compromise some of the key ecosystem services provided by streams.
Exogenous γ-Aminobutyric Acid (GABA) Enhanced Response to Abiotic Stress in Hypsizygus marmoreus by Improving Mycelial Growth and Antioxidant Capacity

γ-Aminobutyric (GABA) acid is a nutrient and signaling molecule existing in many plants, participating in the regulation of metabolism and various physiological activities. Two strains of Hypsizygus marmoreus (a white variety and a brown variety) were investigated to study the impact of exogenous GABA on mycelial growth and the response to stress. Mycelial growth, microscopic morphology, antioxidant profile, and gad2 expression in H. marmoreu were investigated under salt, dehydration, or cold stress. The results indicated that 5 mM GABA stimulated mycelial growth under standard cultivation conditions, whereas GABA addition over 10 mM hindered the growth. Under salt, dehydration, or cold stress, treatment with 5 mM GABA significantly enhanced the mycelial growth rate and density of both H. marmoreus strains by promoting front hyphae branching. Meanwhile, the activities of key antioxidant enzymes such as peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX) were enhanced by GABA, thereby augmenting the defensive network against abiotic stress. Additionally, gad2 expression and GABA concentration were increased under abiotic stresses as a resistance regulation response. The exogenous addition of GABA strengthened the upregulation of gad2 expression and GABA production. These findings indicated that exogenously adding low concentrations of GABA effectively enhanced the mycelial growth and antioxidant profile of H. marmoreus, thereby improving its resistance against stresses.