Miracle-dz/UniFAR-FTUs huggingface dataset:
On Fusing Mechanism Involving the Fuses at Secondary Winding of PT Induced by VFTO

The impact of very fast transient over-voltage(VFTO) on the primary and secondary equipment in gas insulated station(GIS) should not be ignored. In this paper, the research on fusing mechanism involving the fuses at secondary winding of PT induced by VFTO is carried out based on an actual case from the 500kV GIS substation belonged to Guizhou Tianshengqiao No.2 hydro power plant. As for the high voltage side, the transfer function about over-voltage can be formed in order to analyse the characteristics about high frequency over-voltage. As for the low voltage side, a three-phase equivalent model for secondary circuit of PT with the parallel arrangement at the A, B and C phases may be built for simulating the current distribution of the low voltage fuses in the situation of high frequency voltage and current. The results show that the maximum allowable current of fuse might be reduced greatly in the high-frequency circumstance due to skin effect and proximity effect, in comparison with nominal frequency condition.
Catabolic Fingerprinting and Diversity of Bacteria in Mollic Gleysol Contaminated with Petroleum Substances

This study focused on the determination of both catabolic and genetic fingerprinting of bacteria inhabiting soil contaminated with car fuels. A surface layer (0–20 cm) of Mollic Gleysol was used for the experiment and was contaminated with car fuels—unleaded 95-octane petrol and diesel at a dose of 15 g per 10 g of soil. The experiment lasted 42 days and was performed at 20 °C. The metabolic potential of soil bacterial communities was evaluated using the Biolog EcoPlate system. The results demonstrated that petroleum substances influenced the structure of the microbial populations and their catabolic activity. The Arthrobacter, Paenibacillus, and Pseudomonas genera were found in diesel-contaminated soil, whilst Bacillus and Microbacterium were found in petrol-contaminated soil. Rhodococcus species were identified in both variants of impurities, suggesting the widest capability of car fuel degradation by this bacterial genus. The contamination with unleaded 95-octane petrol caused rapid inhibition of the metabolic activity of soil bacteria in contrast to the diesel treatment, where high metabolic activity of bacteria was observed until the end of the incubation period. Higher toxicity of petrol in comparison with diesel car fuel was evidenced.
Developer’s Roadmap to Design Software Vulnerability Detection Model Using Different AI Approaches

Automatic software vulnerability detection has caught the eyes of researchers as because software vulnerabilities are exploited vehemently causing major cyber-attacks. Thus, designing a vulnerability detector is an inevitable approach to eliminate vulnerabilities. With the advances of Natural language processing in the application of interpreting source code as text, AI approaches based on Machine Learning, Deep Learning and Graph Neural Network have impactful research works. The key requirement for developing an AI based vulnerability detector model from a developer perspective is to identify which AI model to adopt, availability of labelled dataset, how to represent essential feature and tokenizing the extracted feature vectors, specification of vulnerability coverage with detection granularity. Most of the literature review work explores AI approaches based on either Machine Learning or Deep Learning model. The existing literature work either highlight only feature representation technique or identifying granularity level and dataset. A qualitative comparative analysis on ML, DL, GNN based model is presented in this work to get a complete picture on VDM thus addressing the challenges of a researcher to choose suitable architecture, feature representation and processing required for designing a VDM. This work focuses on putting together all the essential bits required for designing an automated software vulnerability detection model using any various AI approaches.
Platform affordances and political participation: how social media reshape political engagement

Abstract Political participation opportunities have been expanding for years, most recently through digital tools. Social media platforms have become well integrated into civic and political participation. Using a cross-national sample from the United States, United Kingdom and France, this article examines whether acts of participation associated with social media should be classified using a traditional, five-factor solution to the structure of participatory acts. The distinction between online and offline participation is set aside, focusing instead on acts supported and enabled by social media, and in particular on differences between the use of Twitter and Facebook. The analysis shows that acts enabled by social media do not load with traditional factors in the structure of participation. Political acts employing Twitter and Facebook are distinct in the factor structure of participation.
Kajian Literatur Pengembangan Instrumen Kemampuan Problem Solving Pada Materi Fisika

Problem solving atau penyelesaian masalah merupakan kemampuan yang wajib dimiliki oleh peserta didik pada abad ke-21 ini, terutama pada mata pelajaran fisika. Adapun tujuan dari kajian literatur ini adalah untuk mengidentifikasi pengembangan instrumen problem solving pada materi Fisika. Penelitian ini mengkaji jurnal pada tahun 2016-2021 dengan pendekatan kualitatif yang menggunakan metode bibliometrik. Pada hasil analisis ditunjukkan bahwa dilakukannya pengembangan instrumen problem solving berlandaskan pada tuntutan abad ke-21, selain itu juga untuk mengetahui sejauh mana pendidik berhasil dalam mengimplementasikan inovasi pembelajaran yang diterapkan pada proses belajar mengajar. Instrumen problem solving berbentuk tes dan non-tes. Soal tes yang dikembangkan memperhatikan indikator soal problem solving seperti indikator problem solving Polya, J.L Docktor, Arends dll. Materi yang banyak dikembangkan yaitu Kinematika Hukum Newton, Usaha dan Energi, dan Momentum dan Impuls. Metode pengembangan yang banyak digunakan dalam membuat produk ini adalah metode 4D dan ADDIE. Instrumen problem solving dilakukan proses uji kemudian dianalisis kelayakannya diantaranya yaitu uji validitas oleh para ahli, uji validitas secara praktik, uji reabilitas, uji t dan menggunakan Wilcoxon Signed Ranked. Kata kunci: instrumen tes problem solving, fisika, bibliometric
Neutrophils Promote Glioblastoma Tumor Cell Migration after Biopsy

Glioblastoma is diagnosed by biopsy or, if clinically feasible, tumor resection. However, emerging evidence suggests that this surgical intervention may increase the risk of tumor cell spread. It has been hypothesized that the damage to the tumor leads to infiltration of immune cells that consequently form an environment that favors tumor cell motility. In mouse glioma models, it was previously found that biopsy induced migration of tumor cells in vivo and that recruitment of monocytes from the blood was involved in this effect. However, the role of neutrophils in this process is still unclear. Here, we study the contribution of neutrophils on the pro-migratory effect of surgical interventions in glioma. Using repetitive intravital microscopy, in vivo migration of glioma tumor cells before and after biopsy was compared in mice systemically depleted of neutrophils. Interestingly, macrophages/microglia were almost completely absent from neutrophil-depleted tumors, indicating that neutrophils may be indirectly involved in biopsy-induced migration of glioma tumor cells through the recruitment of macrophages to the tumor. To further investigate whether neutrophils have the potential to also directly promote glioblastoma tumor cell migration, we performed in vitro migration assays using human neutrophils. Indeed, wound-healing of human primary glioblastoma tumor cell lines was promoted by human neutrophils. The pro-migratory effects of human neutrophils on glioblastoma tumor cells could also be recapitulated in transwell migration assays, indicating that soluble factor(s) are involved. We therefore provide evidence for both an indirect and direct involvement of neutrophils in tumor spread following biopsy of glioblastoma tumors.
Glutamatergic Synapse Dysfunction in Drosophila Neuromuscular Junctions Can Be Rescued by Proteostasis Modulation

Glutamate is the major excitatory neurotransmitter in the nervous system, and the Drosophila glutamatergic neuromuscular junctions (NMJs) offer a tractable platform to understand excitatory synapse biology both in health and disease. Synaptopathies are neurodegenerative diseases that are associated with synaptic dysfunction and often display compromised proteostasis. One such rare, progressive neurodegenerative condition, Spinocerebellar Ataxia Type 3 (SCA3) or Machado-Joseph Disease (MJD), is characterized by cerebellar ataxia, Parkinsonism, and degeneration of motor neuron synapses. While the polyQ repeat mutant protein ataxin-3 is implicated in MJD, it is unclear how it leads to impaired synaptic function. In this study, we indicated that a Drosophila model of MJD recapitulates characteristics of neurodegenerative disorders marked by motor neuron dysfunction. Expression of 78 polyQ repeats of mutant ataxin-3 protein in Drosophila motor neurons resulted in behavioral defects, such as impaired locomotion in both larval and adult stages. Furthermore, defects in eclosion and lifespan were observed in adult flies. Detailed characterization of larval glutamatergic neuromuscular junctions (NMJs) revealed defects in morphological features along with compromised NMJ functioning. Autophagy, one of the key proteostasis pathways, is known to be impaired in the case of several synaptopathies. Our study reveals that overexpression of the autophagy-related protein Atg8a rescued behavioral defects. Thus, we present a model for glutamatergic synapse dysfunction that recapitulates synaptic and behavioral deficits and show that it is an amenable system for carrying out genetic and chemical biology screens to identify potential therapeutic targets for synaptopathies.
Improvements in the millimeter-wave system for Josephson junction array voltage standard systems

Improvements in the millimeter-wave system have been made in order to generate higher and more accurate Josephson voltages directly. The 94-GHz oscillator operator output power has been increased to 90 mW by incorporating a novel InP Gunn diode, and a low-loss dielectric waveguide has been installed in liquid helium in order to increase the millimeter-wave power available at the input of the Josephson junction array chip. The stability of the millimeter-wave frequency has been improved to the order of 10/sup -11/. The losses of the waveguide-to-microstrip transition has been investigated but remain a matter for further improvement. <<ETX>>
Chaotic laser voltage: An electronic entropy source

The chaotic terminal voltage dynamics of a semiconductor laser subjected to external optical feedback are utilized to directly generate electronic random number streams with minimal post-processing at rates of 40–120 Gb/s, thus obviating the need for optical-to-electrical conversion and facilitating integration with high-speed computers and devices. Furthermore, a comparison of the terminal voltage to the optical intensity being utilized as entropy sources is performed. It is shown that the voltage dynamics have an inherently larger entropy, a reduction in delay signature, and a more suitable distribution for generating random bit streams.
Optimization of AZ91D Process and Corrosion Resistance Using Wire Arc Additive Manufacturing

Progress on Additive Manufacturing (AM) techniques focusing on ceramics and polymers evolves, as metals continue to be a challenging material to manipulate when fabricating products. Current methods, such as Selective Laser Sintering (SLS) and Electron Beam Melting (EBM), face many intrinsic limitations due to the nature of their processes. Material selection, elevated cost, and low deposition rates are some of the barriers to consider when one of these methods is to be used for the fabrication of engineering products. The research presented demonstrates the use of a Wire and Arc Additive Manufacturing (WAAM) system for the creation of metallic specimens. This project explored the feasibility of fabricating elements made from magnesium alloys with the potential to be used in biomedical applications. It is known that the elastic modulus of magnesium closely approximates that of natural bone than other metals. Thus, stress shielding phenomena can be reduced. Furthermore, the decomposition of magnesium shows no harm inside the human body since it is an essential element in the body and its decomposition products can be easily excreted through the urine. By alloying magnesium with aluminum and zinc, or rare earths such as yttrium, neodymium, cerium, and dysprosium, the structural integrity of specimens inside the human body can be assured. However, the in vivo corrosion rates of these products can be accelerated by the presence of impurities, voids, or segregation created during the manufacturing process. Fast corrosion rates would produce improper healing, which, in turn, involve subsequent surgical intervention. However, in this study, it has been proven that magnesium alloy AZ91D produced by WAAM has higher corrosion resistance than the cast AZ91D. Due to its structure, which has porosity or cracking only at the surface of the individual printed lines, the central sections present a void-less structure composed by an HCP magnesium matrix and a high density of well dispersed aluminum-zinc rich precipitates. Also, specimens created under different conditions have been analyzed in the macroscale and microscale to determine the parameters that yield the best visual and microstructural results.
Grassland Use Intensity Classification Using Intra-Annual Sentinel-1 and -2 Time Series and Environmental Variables

Detailed spatial data on grassland use intensity is needed in several European policy areas for various applications, e.g., agricultural management, supporting nature conservation programs, improving biodiversity strategies, etc. Multisensory remote sensing is an efficient tool to collect information on grassland parameters. However, there is still a lack of studies on how to process, combine, and implement large radar and optical image datasets in a joint observation framework to map grassland types on large heterogeneous study areas. In our study, we assessed the usefulness of 2521 Sentinel-1 and 586 Sentinel-2 satellite images and topographic data for mapping grassland use intensity. We focused on the distinction between intensively and extensively managed permanent grassland in a large heterogeneous study area in Slovenia. We provided dense Satellite Image Time Series (SITS) for 2017, 2018 and 2019 to identify important differences, e.g., management practices, between the two grassland types analysed. We also investigated the effectiveness of combining two different remote-sensing products, the optical Normalised Difference Vegetation Index (NDVI) and radar coherence. Grassland types were distinguished using an object-based approach and the Random Forest classification. With the use of SITS only, the models achieved poor performance in the case of cloudy years (2018). However, the performance improved with additional features (environmental variables). The feature selection method based on Mean Decrease Accuracy (MDA) provided a deeper insight into the high-dimensional multisensory SITS. It helped select the most relevant features (acquisition dates, environmental variables) that distinguish between intensive and extensive grassland types. The addition of environmental variables improved the overall classification accuracy by 7–15%, while the feature selection additionally improved the final overall classification accuracy (using all available features) by 2–3%. Although the reference dataset was limited (1259 training samples), the final overall classification accuracy was above 88% in all years analysed. The results show that the proposed Random Forest classification using combined multisensor data and environmental variables can provide better and more stable information on grasslands than single optical or radar data SITS on large heterogeneous areas. Therefore, a combined approach is recommended to distinguish different grassland types.
The influence of COVID on Chinese younger and older adults' attitudes toward the US and the factors that can affect their attitudes and negative emotions

This study aims to analyze the influence of COVID on Chinese adults’ attitudes toward the US and examine factors that can affect their attitudes. A total number of 288 Chinese adults were selected as the investigation objects, and 282 effective questionnaires were collected with a recovery rate of 97.81% (134 effective questionnaires of younger adults) and 98.01% (148 effective questionnaires of older adults). The general demographic of the adults were collected, including 130 men and 158 women, with an age range of 19-50 years (younger adults: 19-30, mean age 24.69, standard deviation 3.34; older adults: 31-50, mean age: 39.09, standard deviation: 5.21). Questions included in the questionnaire were introduced explicitly in the material section. The study found that responsibility, attitudes toward the US after COVID, and negative emotion they have experienced during COVID is closely correlated with each other and other parts of this study, which can indicate that for younger and older adults, COVID had greatly influenced their perspective on the US. Regression analysis revealed that (1) for both younger and older adults, factors like general bias, browsing or searching for keywords related to COVID and its origin, and unintentionally spreading rumors about the US can be the significant factors that affect their attitudes; (2) for older adults, factors like searching or browsing for keywords related to COVID and attitude toward the US after COVID affect negative emotions they have experienced during COVID.
Insulating materials for realising carbon neutrality: Opportunities, remaining issues and challenges

The 2050 carbon ‐ neutral vision spawns a novel energy structure revolution, and the construction of the future energy structure is based on equipment innovation. Insulating material, as the core of electrical power equipment and electrified transportation asset, faces unprecedented challenges and opportunities. The goal of carbon neutral and the urgent need for innovation in electric power equipment and electrification assets are first discussed. The engineering challenges constrained by the insulation system in future electric power equipment/devices and electrified transportation assets are investigated. Insulating materials, including intelligent insulating material, high thermal conductivity insulating material, high energy storage density insulating material, extreme environment resistant insulating material, and environmental ‐ friendly insulating material, are cat-egorised with their scientific issues, opportunities and challenges under the goal of carbon neutrality being discussed. In the context of carbon neutrality, not only improves the understanding of the insulation problems from a macro level, that is, electrical power equipment and electrified transportation asset, but also offers opportunities, remaining issues and challenges from the insulating material level. It is hoped that this paper en-visions the challenges regarding design and reliability of insulations in electrical equipment and electric vehicles in the context of policies towards carbon neutrality rules. The authors also hope that this paper can be helpful in future development and research of novel insulating materials, which promote the realisation of the carbon ‐ neutral vision.
High-speed silicon modulators for the 2  μm wavelength band

The 2 μm wavelength band has become a promising candidate to be the next communication window. We demonstrate high-speed modulators based on a 220 nm silicon-on-insulator platform working at a wavelength of 1950 nm, using the free carrier plasma dispersion effect in silicon. A Mach–Zehnder interferometer modulator and a microring modulator have been characterized. At 1950 nm, the carrier-depletion modulator operates at a data rate of 20 Gbit/s with an extinction ratio of 5.8 dB and insertion loss of 13 dB. The modulation efficiency (V π ·L π ) is 2.68 V·cm at 4 V reverse bias. The device operation is broadband, and we also characterize its performance at 1550 nm. At 1550 nm, an open eye is obtained at 30 Gbit/s. The difference in bandwidth is caused by the bandwidth limit of the 2 μm measurement setup. We also show a ring modulator paired with a low power integrated driver working in hybrid carrier depletion and injection mode at a data rate of 3 Gbit/s with power consumption of 2.38 pJ/bit in the 2 μm wavelength range. This work is a proof of principle demonstration and paves a route toward a full silicon-based transceiver in the 2 μm window.
Plasticity of monocytes and macrophages in cirrhosis of the liver

Cirrhosis of the liver is a systemic condition with raising prevalence worldwide. Patients with cirrhosis are highly susceptible to develop bacterial infections leading to acute decompensation and acute-on-chronic liver failure both associated with a high morbidity and mortality and sparse therapeutic options other than transplantation. Mononuclear phagocytes play a central role in innate immune responses and represent a first line of defence against pathogens. Their function includes phagocytosis, killing of bacteria, antigen presentation, cytokine production as well as recruitment and activation of immune effector cells. Liver injury and development of cirrhosis induces activation of liver resident Kupffer cells and recruitment of monocytes to the liver. Damage- and pathogen-associated molecular patterns promote systemic inflammation which involves multiple compartments besides the liver, such as the circulation, gut, peritoneal cavity and others. The function of circulating monocytes and tissue macrophages is severely impaired and worsens along with cirrhosis progression. The underlying mechanisms are complex and incompletely understood. Recent ‘omics’ technologies help to transform our understanding of cellular diversity and function in health and disease. In this review we point out the current state of knowledge on phenotypical and functional changes of monocytes and macrophages during cirrhosis evolution in different compartments and their role in disease progression. We also discuss the value of potential prognostic markers for cirrhosis-associated immuneparesis, and future immunotherapeutic strategies that may reduce the need for transplantation and death.
NINJA: an LTAO assisted optical and near-infrared spectrograph of Subaru Telescope

Near-INfrared and optical Joint spectrograph with Adaptive optics (NINJA) is an optical to near-infrared (NIR) spectrograph optimized for the laser tomography adaptive optics (LTAO) system at the Subaru telescope, realized by the adaptive secondary mirror and four-laser guide star (LGS) system now under development. One of the primary science objectives of this spectrograph is wide-band spectroscopic follow-up of transient sources like GRB, supernovae, or gravitational wave sources down to 22 mag in the J -band. NINJA consists of two spectrograph units, one is in the optical (0.35-0.85 µm) and the other in the NIR (0.85-2.5 µm), and a fore-optics which splits the light from the telescope to the spectrographs and wavefront sensors (WFSs) of LTAO. Each spectrograph has a slit with 0.35′′ wide and 5′′ long, and a spectral resolution of R=3000-4000 utilizing a grating. The four LGSs are planned to be arranged on a circle around the slit with a radius of about 8′′, and a patrol field of view (FoV) of a tip-tilt guide star is about 2′ diameter. With two dichroic mirrors, the fore-optics splits the light of the FoV into three wavelength ranges of 0.35-0.85 µm, 0.85-2.5 µm, and 0.589 µm for LGS. In this paper, we report the overall system of NINJA and a conceptual design of the optics.