Miracle-dz/UniFAR-FTUs huggingface dataset:
Field-Circuit Coupled Modelling of Superconducting Cable for Positive and Zero Sequence Impedance Analysis

This paper presents a simulation analysis method for the sequence impedance of three-phase cold insulated superconducting cable based on the field-circuit coupling model. In this model, the induced electric field of screening layer is calculated by the magnetic field model, and the time domain current in the superconducting cable is calculated by the circuit model. Then, the positive sequence and zero sequence impedance of the superconducting cable circuit are calculated. The simulation results are as follows: for the positive sequence impedance, under the same structural parameters, the positive sequence impedance of the superconducting cable is half of the conventional cable; When the screening coefficient of the superconducting screen is 80% ~ 90%, the positive sequence reactance increases by 18% ~ 35%. For the zero sequence impedence, it is about 5 times of the positive sequence impedence, which is slightly greater than the handbook recommended value X0 ≈ (3.5 – 4.6)X1. When the screening coefficient of the superconducting screen is 80% ~ 90%. , the zero sequence impedence increases by 2.8 ~ 5 times.
miR-181a-5p Inhibits Pyroptosis in Sepsis-Induced Acute Kidney Injury through Downregulation of NEK7

Sepsis is a life-threatening organ dysfunction caused by the uncontrolled inflammation, easily affecting the kidney. Sepsis-induced acute kidney injury (S-AKI) has high morbidity and mortality, of which the pathophysiological mechanisms have not been completely illuminated, leading to nonspecific therapies. Specific microRNAs were related with the pathogenesis of AKI. However, only limited studies focused on the pyroptosis in the context of S-AKI. The in vitro LPS-induced HK-2 cell model and in vivo CLP-induced mouse model were established. qRT-PCR, Western blot, ELISA, and RNA pulldown were used for expression examination. Multiple biological databases were used for miRNA screening. H&E staining and IHC staining were performed. The LPS-induced HK-2 cells showed significantly increased (P < 0.01) fluorescence intensity of N-GSDMD and ASC compared with the HK-2 cells. The expression of NLRP3, NEK7, ASC, active caspase-1, and N-GSDMD was significantly enhanced (P < 0.05) and the inflammatory factors including IL-18, IL-1β, and THF-α were all increased in LPS-induced HK-2 cells and CLP-induced mice. Renal edema, serum Cr and BUN, and expression of KIM-1 and NGAL were significantly higher (P < 0.05) in CLP-induced S-AKI mice than the sham group. miR-101-3p, miR-144-3p, miR-181a-5p, miR-4262, and miR-513b-5p could inhibit NEK7. NEK7 is an interacting protein of miRNA-181a-5p. miR-181a-5p inhibits pyroptosis of the LPS-induced HK-2 cells through downregulation of NEK7. Pyroptosis of HK-2 cells promotes inflammation. miR-181a-5p inhibits pyroptosis through downregulation of NEK7 in LPS-induced HK-2 cells and CLP-induced mice. Our study indicated miR-181a-5p as a new potential therapeutic target for S-AKI therapy.
Mobility-Aware Service Migration for Seamless Provision: A Reinforcement Learning Approach

Mobile Edge Computing (MEC) is a promising paradigm to support high-quality time-sensitive applications. In this paper, we investigate the service migration (i.e., whether, when, and where to migrate the services) to seamlessly serve mobile users in small-cell MEC systems. The service migration is formulated as an optimization problem to minimize the long-term system average delay that consists of queuing, communication, and migration delays. Considering the dynamic user mobility and network conditions, the formulated problem is non-convex and difficult to solve in real time. To this end, we propose a Mobility-aware Service Migration scheme, named MSM, to make real-time decisions on service migrations by utilizing reinforcement learning (RL) approaches. Specifically, we first design a user classification mechanism based on users’ mobility patterns to reduce the complexity of decision-making. We then formulate the service migration as a Markov decision process and devise an RL-based framework to make service migration decisions in real time in the dynamic MEC environment. Extensive data-driven experiments demonstrate the efficacy of MSM in reducing the system average delay.
Advanced Classification of Architectural Heritage: A Corpus of Desert on Rout Caravanserais

ABSTRACT Advanced classification of Architectural Heritage with new methods of knowledge extraction can enhance our insight of historical buildings and their evolution. An important corpus is Safavid caravanserais with 999 cases, which were simultaneously built according to historical records. The aim of this research is to understand the hidden knowledge about the formation of this corpus through advanced classification based on configuration of building divisions or types of architectural components. The main research problem is identifying principal classification variables. A novel method is proposed based on a probabilistic model to provide taxonomic numeric variables, linked with morphological invariants for each feature. A table of binary values of variables is provided for 140 cases of desert on-rout caravanserais. A tool based on Naïve Bays algorithm processed the output and the relative significance of the variables is generated. This important finding helped the domain knowledge to select six major features and consequently to identify six classes and 25 sub-classes. The assessment is done by comparing caravanserais in a knowledge base, and geo localizing each class on Google Earth. The results led to important findings and suppositions about distribution of chain of similar caravanserais along historic roads and their design evolution and management.
Reducing cogging torque of 6/4 pole FSPM machine by optimising parameters of chamfering and flange rotor pole shape without skewing teeth

Due to the doubly salient structure, high magnetic flux density in the air gap and low pole number, cogging torque of 6/4 pole flux-switching permanent magnet (FSPM) machine is seriously high. In some cases, it may cause this machine hard to start up and serious torque ripple. So, reducing the cogging torque of 6/4 pole FSPM machine to a certain low extent is important to keep it work properly. To reduce cogging torque, a chamfering and flange rotor pole shape is proposed to reduce the cogging torque of 6/4 pole FSPM machine without skewing teeth. The key dimensions of the proposed rotor pole shape have been optimised by analytical methods and simulation based on finite-element analysis. The effectiveness of the proposed method has been verified by experimental results. The effect of the proposed rotor pole shape method on back-electromagnetic force and average electromagnetic torque has also been investigated.
Research on Rock Burst Control Mechanism of Deep Buried Tunnel Using Surrounding Rock Modification Theory

In order to solve the rock burst disaster during the excavation of deep buried high stress hard rock tunnel, the method of changing the properties of surrounding rock by blasting is proposed in this paper. This method can effectively change the physical and mechanical properties of surrounding rock, reduce the storage capacity of surrounding rock corresponding to variable energy, and transfer the stress concentration position to the deep layer, which is an effective means to control rock burst. Taking the tunnel with rockburst tendency as an example, the stress distribution characteristics and displacement changes of surrounding rock under different modification depths are studied by using the numerical calculation method and elastic-plastic mechanics theory, and the effect is tested combined with microseismic data. The results show that the thickness of tunnel blasting loosening is closely related to the stress concentration of surrounding rock, and blasting loosening can effectively inhibit the occurrence and prevention of rock burst. With the increase of blasting depth, the maximum stress concentration decreases. The relevant research results can be used to reasonably design the blasting and loose surrounding rock reconstruction of high stress rock burst tunnel and improve the theoretical and practical basis.
Signal-Phase Virtual Synchronous Generator Control Strategy for Energy Storage Converters

With the development of economy and society, the use of a large number of precision instruments and equipment makes the requirements for the safety and reliability of electric energy higher. To solve the power interruption caused by conventional control strategy and drawback of the relay, the virtual synchronous generator (VSG) control strategy is applied for single-phase energy storage converters system. Analysis the active and reactive power control scheme based on virtual torque and virtual excitation and modify the calculation method of single-phase power. Add pre-synchronization to reduce current surge and realize the seamless switching between islanding mode and grid-connected mode under the single-phase VSG control strategy in the energy storage converters. Finally, the simulation of Matlab/Simulink and the experiment of a 1kVA prototype are conducted to verify the correctness and effectiveness of the proposed VSG control strategy for a single-interactive energy storage converters system. The experimental results show that the proposed VSG control strategy can realize the seamless switching between two operating modes of the energy storage converters system.
Optimizing Real-Time ECG Data Transmission in Constrained Environments

ECG monitoring systems have a significant role in detecting cardiovascular diseases and reducing the rate of sudden cardiac deaths. One of the critical factors to support real-time ECG tracking is to guarantee monitoring system availability. Hence, this work targets battery life expansion for a 12 Lead ECG patch. ECG patch operational hours are extended by reducing Bluetooth Low Energy (BLE) communication airtime, hence reducing the overall transmission power and extending the battery life. Huffman, delta, and base-delta compression techniques are implemented on a Texas Instruments CC2650 Microcontroller Unit using different sampling rates and cardiac conditions such as normal, ventricular tachycardia, and ventricular fibrillation state. The performance of each encoding algorithm is evaluated in terms of compression ratio, the execution time, and power consumption of the ECG patch. Our findings show that the base-delta encoding technique outperforms other techniques and achieves 70% data compression on normal ECG data, 41% on ventricular fibrillation, and 44% on ventricular tachycardia. The execution time of base-delta encoding takes less than 25 ms execution time and saves up to 36 % of the power consumption on the MCU environment.
Hierarchical fingerprinting and feature extraction for indoor localization

Weighted K nearest neighbor (WKNN) algorithm provides good result for indoor localization by searching for matching fingerprints in the dataset. However, due to the nature of this method, computation load increases as the size of dataset. In this paper, we propose a hierarchical localization method to reduce the computation load during the online phase. A two-level structure first localizes the user to a smaller subset and then position estimation is obtained by WKNN with feature extraction. On a public accessed WiFi fingerprinting dataset, the proposed method achieves a 98% reduction without sacrificing localization performance.
Prediabetic patients evaluated with Quantose™ IR and their relationship with anthropometric measurements through bioelectrical impedance analysis

Introduction: New metabolomic biomarkers as Quantose™ IR and anthropometric measurements using bioelectrical impedance analysis (BIA) provide relevant information on patients with insulin resistance and prediabetes. QuantoseTM IR is a novel metabolomic test to assess insulin resistance for screening and monitoring. Establishing a correlation between these variables is useful in clinical practice and, to our knowledge, there are no published studies that explore the relationship between Quantose™ IR and anthropometric measurements using BIA in patients with prediabetes. Objective: To evaluate the correlation between Quantose™ IR and BIA anthropometric variables (fat mass, FM; fat mass index, FMI; and body mass index, BMI) in Mexican patients with prediabetes, overweight, and obesity. Materials and Methods: This is an observational, transversal analytic study in 135 patients of both genders between 20 and 65 years of age, BMI 25.0–34.9, with diagnosis of prediabetes. The Quantose™ IR test was performed as well as anthropometric measurements (FM, FMI, and BMI) using BIA taken with Inbody 230TM. Pearson’s correlations and independent sample t-tests were estimated with a significance level of p < 0.05. Results: 135 patients were studied; 77% were female, aged 46 years in average. The prevalence of insulin resistance by Quantose™ IR was 71.1%. A positive correlation was confirmed between Quantose™ IR and FM, FMI, and BMI (p < 0.05). Patients with altered Quantose™ IR had higher FM, FMI, and BMI (p < 0.05). Conclusion: The data here presented confirm the existence of a positive and statistically significant correlation between Quantose™ IR and anthropometric measurements using BIA. This information may be useful for diagnosis and treatment in prediabetic, overweight, and obese patients.
Systematic Review and Meta-Analysis of the Susceptibility of ABO Blood Groups to Venous Thromboembolism in Individuals with Factor V Leiden

A limited number of studies investigated the association between the ABO blood groups and the incidence of venous thromboembolism in individuals with Factor V Leiden; however, discordant findings were reported. Consequently, this systematic review and meta-analysis aimed to evaluate the existing evidence on the susceptibility of the ABO blood group to venous thromboembolism in individuals with Factor V Leiden. All English-published articles on the Web of Science, Scopus, PubMed, EMBASE, and Google Scholar were comprehensively and systematically searched by the author without a time or region limit. Four studies were included in the qualitative synthesis and meta-analysis after the removal of studies that were not eligible. According to the analyses of the fixed and random effects, the point estimates of the effect size and the 95% confidence interval were 0.416 (95% CI: 0.397–0.435) and 0.392 (95% CI: 0.288–0.507), respectively. In contrast, the homogeneity test (Q value) reveals that blood group data distributions have a heterogenous structure (Q = 432.187; p-value < 0.001). The pooled event rates and the 95% CIs for the A, AB, B, and O-blood groups were 0.518 (95% CI: 0.411–0.622), 0.592 (95% CI: 0.495–0.683), 0.205 (95% CI: 0.041–0.612), and 0.283 (95% CI: 0.247–0.322), respectively. According to the findings, people with Factor V Leiden with blood group AB are more likely to develop venous thromboembolism than those with blood groups A, O, and B. The overall statistical significance of the ABO blood group’s susceptibility to venous thromboembolism in individuals with Factor V Leiden was <0.001 (pooled p-value). In conclusion, the current meta-analysis provides an additional indication that blood group AB individuals with Factor V Leiden are at higher risk of developing venous thromboembolism, and blood type B is connected to a lower risk of developing venous thromboembolism.
Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

Existing communication networks have inherent limitations in translation theory and adapt to address the complexity of repairing new remote applications at the highest possible level. For further investigation, you are more likely to pass this test using a data-driven program and increasing the exposure of your wireless network with limited distance resources. This study focuses on various deep learning strategies used in peer-to-peer communication networks. It discusses autoencoders, productive enemy networks, deep emotional networks, common neural networks, and long-term memory, all of which show promise in all aspects of a wireless communication network. In social networks, all of these strategies provide significant reliability, robustness, and cost-effective solutions. In-depth learning enhances test-based performance that helps design, develop, and adapt wireless communication networks.
Examining attention given to threats to elephant conservation on social media

Although social media is growing rapidly as a news source, including for disseminating conservation information, studies comparing attention given to differing threats to species on social media are almost non‐existent. As the amount of attention given to differing threats can influence what people perceive to be important and impact the formation of environmental policies, it is vital that conservationists understand which issues are being discussed online. Using elephants (Loxodonta Africana, Loxodonta cyclotis, and Elephas maximus) as test species, we conducted a content analysis of tweets about elephants posted to Twitter during 2019. According to the global conservation authority, the International Union for Conservation of Nature, the most pressing threats to the conservation of wild elephant populations are habitat loss, human‐elephant conflict, and poaching, with the magnitude of each threat differing between the three species of elephants. Our Twitter analysis revealed that these major threats were infrequently discussed, with habitat loss being the most infrequently discussed (<1% of all tweets). Instead, elephant welfare issues, such as tourist elephant rides, were the most frequently discussed topic (23%). Users from non‐elephant range countries were the dominant voice on Twitter (72% of tweets with an identifiable location), with these tweets likely to discuss elephant welfare concerns and trophy hunting, which is not a threat to elephant conservation. Conversely, tweets from users from African elephant range countries (14%) were more likely to discuss human‐elephant conflict, poaching, and promote elephant tourism. Similarly, users from Asian elephant range countries (13%) were likely to discuss human‐elephant conflict and elephant tourism but unlikely to tweet about poaching. Given the relatively low representation of local stakeholders and the limited coverage of key conservation threats, there is a need to ensure that social media discussions do not overly influence decision‐makers.
Tee power divider and combiner based negative group delay topology

An innovative topology of negative group delay (NGD) microwave circuit based on the interconnected power divider and combiner (PWD/PWC) is investigated. The distributed cell consists of PWD and PWC with the input and outputs interconnected by a transmission line (TL). The theory is based on the S‐parameter modeling. The NGD existence condition is formulated. The NGD properties constituted by the NGD bandwidth, level and figure of merit are introduced. It is shown that the distributed topology behaves as a bandpass NGD circuit. The NGD topology theoretical efficiency is verified with simulations by considering NGD circuit parametric analyses by varying the PWD‐PWC interconnect TL attenuation. To validate experimentally the NGD concept, two prototypes of one‐ and two‐stage passive NGD cells were designed in microstrip technology, fabricated and tested. The one‐ and two‐stage circuit prototypes exhibit NGDs of about −2.2 ns and −4.7 ns with −3.4 dB and −7.5 dB insertion loss, respectively. The NGD phenomenon was generated around 1.85 GHz‐center frequency over about 35 MHz‐NGD bandwidth.
Analysis and Prediction of Working Range of Process Parameters for Surface Roughness of 3D Printed Parts with Fused Deposition Modelling

A current manufacturing scenario focuses on processes which can manufacture products at the highest quality with minimum wastage of material. Additive manufacturing is one such technology which can fulfil the demands of today’s manufacturing organisation. Fused Deposition Modelling is a 3D printing process from the additive manufacturing family to build polymer components accurately with almost negligible wastage of material. In the current investigation, analysis and prediction of the operating range of process parameters for surface roughness of 3D printed parts are presented. During the investigation, orientation is an essential aspect of the surface of fused deposition modelling printed parts. From contour plots, it is concluded that orientations 0⁰ to 15⁰ and 85⁰ to 90⁰ with a layer thickness range of 0.12 mm to 0.16 mm and Infill density within 80% to 90% are found to be suitable working range for better surface roughness below 6 µm.
The complete mitochondrial genome sequence and phylogenetic position of Xylota coquilletti (Hervé-Bazin 1914) (Diptera: Syrphidae: Eristalinae: Xylotini)

Abstract The complete mitochondrial genome sequence of the Xylota coquilletti (Diptera: Syrphidae: Eristalinae: Xylotini) was sequenced and reported for the first time. The whole genome was 15,920 bp in length with the 37 classical eukaryotic mitochondrial genes and a control region. The nucleotide composition was included by 40.5% A, 39.6% T, 11.7% C, and 8.2% G, meaning that A + T (80.1%) was much greater than C + G (19.9%). It consisted of 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs), 13 protein-coding genes (PCGs), and a control region (CR). Phylogenetic analyses were performed using 13 PCGs and it was found that Xylota coquilletti was sister to Ferdinadea cupera. All this information could complement the mitochondrial data for a new tribe of Eristalinae.
FEMALE ACADEMICS’ ROLE IN PEACE-BUILDING, STATE-BUILDING AND GENDER EQUALITY IN BOSNIA AND HERZEGOVINA

Twenty-seven years after the end of the war, Bosnia and Herzegovina (BiH) is still considered a post-conflict state dealing with war memories, geno -cide, socio-political divisions, and political and socio-economic challenges like ethno-nationalism, unemployment, social inequalities, a complex edu cation system, high levels of corruption, migration, and depopulation. The article aims to investigate the role of female academics in peace-building, state-building and gender equality in Bosnia and Herzegovina. For this pur -pose, a survey questionnaire was distributed to female academics aiming to obtain data regarding female academic’s role in the post-conflict society, how they have contributed to peace-building processes and the future of the country, the main issues and challenges they face as women in academia, their engagement in gender equality and women empowerment activities, the ways they cope with the COVID-19 pandemic in their professional and private life, and their work-life balance. Descriptive statistics and a the matic analysis of the participants’ responses to open-ended questions were conducted. Female academics in Bosnia and Herzegovina hold that women play a pivotal role in post-conflict societies and that they should be actively engaged in peace-building and state-building processes. Women themselves should be the leaders of positive changes and female empowerment through education and by providing support to other women.
A Defects Detection System for Substation Based on YOLOX

To improve the intelligent supervision level of substation, a defects images dataset facing to substation scenario was built by collecting and labeling a huge number of images about substation equipment defects. Then a transfer learning model based on the YOLOX model was trained by adjusting the model training parameters. Finally, a model with 87.4 % mean average precision and affordable speed (about 0.07 second per image) was constructed. And the experiments results proved that this model can detect the preset defects of substation equipment accurately in acceptable speed according to the visible image obtained from monitoring equipment, which means it has satisfying application potential in future.