Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of MOD-derived YBCO films on [001]LaAlO/sub 3/ and their application to /spl lambda//4 CPW SIR BPFs

Chemically derived epitaxial thin films of YBa/sub 2/Cu/sub 3/O/sub 7-/spl delta// (YBCO) are fabricated on [001]LaAlO/sub 3/ substrates by the metalorganic-deposition (MOD) process, which has advantages of high quality, nonvacuum, low-cost, and large-scale production of high-T/sub c/ superconducting films. The MOD-derived YBCO films have a sharp transition at the critical temperature (90.4 K) and a high-quality film with a surface resistance of 0.13 m/spl Omega/ (30 K, 9.98 GHz) is obtained. As a microwave application, simple and compact bandpass filters (BPFs) using /spl lambda//4 coplanar-waveguide. stepped-impedance resonators are demonstrated on the YBCO films. A two-stage Chebyshev BPF of center frequency of 5.731 GHz, bandwidth of 135 MHz, and insertion loss of 0.29 dB with little input power dependency in a power range less than 10 dBm is realized on the film.
Photolithographic processing and its influence on the performance of organic field-effect transistors

We report on the influence of photolithographic processing of source/drain electrodes on the device performance of regioregular poly(3-hexylthiophene)-based bottom-gate bottom-contact organic field-effect transistors (OFETs). The presented results demonstrate that it is not only the processing conditions of the organic semiconductor influencing relevant device parameters, but it is also the preceding process steps including the structuring of electrodes via lift-off which significantly determine the OFET performance. In particular, the effects of photoresist residuals within the active channel region and the influence of the application of various lift-off chemicals were thoroughly investigated by contact angle measurements, atomic force microscopy and electrical characterization of OFET-based devices. By modifying the dielectric/semiconductor and/or electrode/semiconductor interfaces, the applied chemicals are shown to affect the device performance in terms of switch-on voltage, subthreshold swing and on/off-current ratio. The present study emphasizes the necessity for the optimization of the manufacturing process in order to obtain reproducible high-performing OFETs and OFET-based sensors.
Effect of substituting maize grain with cobs treated with combinations of urea and wood ash on chemical composition and in sacco degradability

An experiment was conducted to determine the effect of substituting maize grain with maize cobs treated with 25% urea (U) plus 75% wood ash (WA) on chemical composition and in sacco degradability. Maize grain was substituted with graded levels of 25U75WA in the dietary ingredients and the treatments were: 100M = 100% maize grain, 66M34C = 66% maize grain plus 34% treated maize cobs, 34M66C = 34% maize grain plus 66% treated maize cobs and 100C = 100% treated maize cobs. Samples were analyzed for dry matter (DM), organic matter (OM), ash, crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF) and acid detergent lignin (ADL); they were incubated in saccofor 6, 12, 24, 48 and 72 hrs and their DM degradation kinetics described using the equation y = a + b ct (1- e- ). Results indicated that as maize grain is substituted with treated maize cobs, NDF, ADF and ADL also increased, however only the neutral detergent soluble (NDS) for treatment 100C was reduced. At 72 hrs of incubation, treatment 34M66C had the highest DM degradation, rapidly soluble fraction 'a' and potential degradability 'a+b'. It was concluded that maize cobs treated with combinations of urea and WA could substitute 66% of maize grain in sheep diets. Une expérience a été menée pour déterminer l'effet de la substitution du grain de maïs par des épis de maïs traités avec 25 % d'urée (U) plus 75 % de cendre de bois (WA) sur la composition chimique et la dégradabilité du sac. Le grain de maïs a été remplacé par des niveaux gradués de 25U75WA dans les ingrédients alimentaires et les traitements étaient : et 100C = 100 % d'épis de maïs traités. Les échantillons ont été analysés pour la matière sèche (MS), la matière organique (MO), les cendres, les protéines brutes (CP), les fibres au détergent neutre (NDF), les fibres au détergent acide (ADF) et la lignine au détergent acide (ADL) ; ils ont été incubés dans sacco pour 6, 12, 24, 48 et 72 heures et leur cinétique de dégradation de la matière sèche décrite en utilisant l'équation y = a + b (1-e-ct). Les résultats ont indiqué que lorsque le grain de maïs est remplacé par des épis de maïs traités, NDF, ADF et ADL ont également augmenté, mais que seul le détergent neutre soluble (NDS) pour le traitement 100C a été réduit. À 72 heures d'incubation, le traitement 34M66C présentait la plus forte dégradation de MS, la fraction rapidement soluble « a » et la dégradabilité potentielle « a+b ». Il a été conclu que les épis de maïs traités avec des combinaisons d'urée et d'AO pouvaient remplacer 66% des grains de maïs dans l'alimentation des moutons.
Compact and high performance microstrip diplexer for GPS and WLAN application

In this article, a novel compact and high performance microstrip diplexer is designed for global position system (GPS) and wireless local area network (WLAN) applications. The compact diplexer consists of two filters with short centered stepped impedance resonators (SCSIRs) and quarter‐wavelength resonators (QWRs), operated at 1.575 GHz and 5.8 GHz, respectively. Due to the intrinsic characteristics and mutual loading effect of two filters, multiple transmission zeros can be generated to achieve sharp skirt, wide stopband, and high isolation of the diplexer. Moreover, more compact size can be obtained without the extra junction matching. Finally, a microstrip diplexer with 1 dB absolute bandwidth 100 MHz for GPS channel and 1 dB fractional bandwidth (FBW) of 3.45% at 5.8 GHz for WLAN channel is designed and fabricated. The simulated and measured results show a better agreement and validate the proposed theory. The size without the 50 Ω feedline is only 0.156 λg × 0. 103λg, in which λg is the guided wavelength at 1.575 GHz. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1233–1237, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27550
Drifting Speed of Lagrangian Fronts and Oil Spill Dispersal at the Ocean Surface

Due to its dire impacts on marine life, public health, and socio-economic services, oil spills require an immediate response. Effective action starts with good knowledge of the ocean dynamics and circulation, from which Lagrangian methods derive key information on the dispersal pathways present in the contaminated region. However, precise assessments of the capacity of Lagrangian methods in real contamination cases remain rare and limited to large slicks spanning several hundreds of km. Here we address this knowledge gap and consider two medium-scale (tens of km wide) events of oil in contrasting conditions: an offshore case (East China Sea, 2018) and a recent near-coastal one (East Mediterranean, 2021). Our comparison between oil slicks and Lagrangian diagnostics derived from near-real-time velocity fields shows that the calculation of Lagrangian fronts is, in general, more robust to errors in the velocity fields and more informative on the dispersion pathways than the direct advection of a numerical tracer. The inclusion of the effect of wind is also found to be essential, being capable of suddenly breaking Lagrangian transport barriers. Finally, we show that a usually neglected Lagrangian quantity, the Lyapunov vector, can be exploited to predict the front drifting speed, and in turn, its future location over a few days, on the basis of near-real-time information alone. These results may be of special relevance in the context of next-generation altimetry missions that are expected to provide highly resolved and precise near-real-time velocity fields for both open ocean and coastal regions.
IMPROVEMENT OF DEEP SOURCES LOCALIZATION BY MEANS OF DYNAMIC SPATIAL FILTERING

Sl : M M . \ K V . Mai'nctocnccplmlügraphic multichanncl • ^ -ms ,nv optimi/. cd for Signals generated from cortir.il M M I I Y C S , makmg it dil'ficult to rcconstnict decp MMIUVS 11 oni thc measured Signals. Signals from deep hiouu i iMic iK sourccs differ from those of cortical ones in ih . i t lhc\ havc a lovver amplitude äs well äs a more u s t i k t c d spatial spcctnim. Many source reconstruction nvthods using a priori Information have been developed l·» emphasi/e deep sources, e.g. the so called „beamlormmtT methods. In this vvork, an approach independeni öl' such a priori Information is considered. A proper spa i i a l i i l t o r was designed which lakes the frequency eintei l t of the Signal generated by the source of interest mto account.
Exploring the Role of WRKY Transcription Factor in the Growth and Development of Bletilla striata based on Bioinformatics Analysis

WRKY type transcription factors (TFs) play crucial roles in the growth and development of plants. However, a comprehensive analysis of the WRKY family members in a valuable Chinese herbal orchid, Bletilla striata, or in other orchids, is limited. In this study, WRKY gene family was screened out from the transcriptome data of Bletilla striata by bioinformatics method. The 29 WRKY TFs that were identified from the B. striata genome and named BsWRKY1 to BsWRKY29 were divided into three clades: group Ⅰ (involving 8 WRKY sequences), group Ⅱ (18) and group Ⅲ (3), in which group Ⅱ was further divided into 5 subgroups: Ⅱ-a (involving 1 WRKY sequences), Ⅱ-b (5), and Ⅱ-c (3), Ⅱ-d (7), Ⅱ-e (3). EST-SSR marker mining test showed that 10 markers could be stably amplified with obvious polymorphisms among 4 landraces. Our data suggest that BsWRKY genes may work together to regulate plant growth and development. In different subcellular locations, BsWRKY genes not only played its own functions, but also coordinated the regulation of the whole life activities. Taken together, these results provided a theoretical basis for further studies on the gene functions and regulatory mechanisms of what in B. striata.
Addressing Slot-Value Changes in Task-oriented Dialogue Systems through Dialogue Domain Adaptation

Recent task-oriented dialogue systems learn a model from annotated dialogues, and such dialogues are in turn collected and annotated so that they are consistent with certain domain knowledge. However, in real scenarios, domain knowledge is subject to frequent changes, and initial training dialogues may soon become obsolete, resulting in a significant decrease in the model performance. In this paper, we investigate the relationship between training dialogues and domain knowledge, and propose Dialogue Domain Adaptation, a methodology aiming at adapting initial training dialogues to changes intervened in the domain knowledge. We focus on slot-value changes (e.g., when new slot values are available to describe domain entities) and define an experimental setting for dialogue domain adaptation. First, we show that current state-of-the-art models for dialogue state tracking are still poorly robust to slot-value changes of the domain knowledge. Then, we compare different domain adaptation strategies, showing that simple techniques are effective to reduce the gap between training dialogues and domain knowledge.
LINC00665 Targets miR-214-3p/MAPK1 Axis to Accelerate Hepatocellular Carcinoma Growth and Warburg Effect

Inhibition of aerobic glycolysis is a hopeful method for cancer treatment. In this study, we aimed to explore LINC00665/miR-214-3p/MAPK1 role in regulating cell viability and aerobic glycolysis in hepatocellular carcinoma (HCC). The expressions of LINC00665 in 50 paired HCC tissues and normal tissues were determined by qRT-PCR. Pearson analysis was applied to evaluate the association between the expression levels of miR-214-3p, LINC00665, and MAPK1 in HCC tissues. The interactions between miR-214-3p and LINC00665 or MAPK1 were determined by luciferase reporter assay and RNA immunoprecipitation. CCK-8 and colony formation assays were used for cell viability evaluation. Lactate production, glucose consumption, and ATP levels were measured to assess Warburg effect. The results showed that LINC00665 was overexpressed in HCC, which positively associated with MAPK1 level and negatively associated with miR-214-3p level in HCC tissues. Overexpression of LINC00665 led to significant enhancements in cell viability and colony formation, whereas this effect was weakened when miR-214-3p was overexpressed or MAPK1 was downregulated. In addition, deletion of LINC00665 expression repressed tumor formation in vivo. Mechanically, LINC00665 increased MAPK1 expression through binding to miR-214-3p. Collectively, this study revealed that LINC00665 accelerated cell growth and Warburg effect through sponging miR-214-3p to increase MAPK1 expression in HCC.
Social Media Monitoring and the Democratic National Convention: New Tasks and Emergent Processes

Public information officers and FEMA external affairs personnel routinely monitor online media reports in times of crises and disaster events. Online news sources now include citizen driven social media such as blogs, i-reports, photo and video sharing and networked information and communication technologies such as Facebook, MySpace, and the microblogging network, Twitter. While these communication mechanisms are increasing, little is known about the attention public officials devote to accessing, monitoring, and addressing public communication through social media. Utilizing data gathered through observations, interviews, and document analysis, this study concentrates on the new task of social media monitoring and the emergent processes used by public officials during the 2008 Democratic National Convention. Although some strategies were developed to monitor and utilize social media, there was a tendency to fall back upon standard operating procedures, limiting the emergence of new processes. Recommendations are provided for media monitoring activities in future crisis and disaster response.
Transcriptional and Metabolic Responses of Maize Shoots to Long-Term Potassium Deficiency

Potassium is important for plant growth and crop yield. However, the effects of potassium (K+) deficiency on silage maize biomass yield and how maize shoot feedback mechanisms of K+ deficiency regulate whole plant growth remains largely unknown. Here, the study aims to explore the maize growth, transcriptional and metabolic responses of shoots to long-term potassium deficiency. Under the K+ insufficiency condition, the biomass yield of silage maize decreased. The transcriptome data showed that there were 922 and 1,107 differential expression genes in DH605 and Z58, respectively. In the two varieties, 390 differently expressed overlapping genes were similarly regulated. These genes were considered the fundamental responses to K+ deficiency in maize shoots. Many stress-induced genes are involved in transport, primary and secondary metabolism, regulation, and other processes, which are involved in K+ acquisition and homeostasis. Metabolic profiles indicated that most amino acids, phenolic acids, organic acids, and alkaloids were accumulated in shoots under K+ deficiency conditions and part of the sugars and sugar alcohols also increased. It revealed that putrescine and putrescine derivatives were specifically accumulated under the K+ deficiency condition, which may play a role in the feedback regulation of shoot growth. These results confirmed the importance of K+ on silage maize production and provided a deeper insight into the responses to K+ deficiency in maize shoots.
Enterprise architecture artefacts as instruments for knowledge management: a theoretical interpretation

ABSTRACT Enterprise architecture (EA) involves a collection of special documents, or artefacts, describing various aspects of an organisation from an integrated business and IT perspective. Knowledge management is a practice of generating, storing and sharing knowledge within an organisation and EA artefacts can be clearly viewed as special instruments for managing knowledge. Based on the analysis of EA artefacts used in 27 diverse organisations, we study the properties of the most popular artefacts through the conceptual lenses of knowledge management. Specifically, we analyse what forms of knowledge these EA artefacts represent, what knowledge management strategies they implement, what knowledge management systems they leverage and how these features correlate with other properties of EA artefacts. This study provides arguably the first available in-depth analysis of EA artefacts as instruments for managing knowledge. Our analysis demonstrates a wide diversity of EA artefacts from the perspective of their approaches to knowledge management.
5G Network Data Migration Service Based on Edge Computing

With the development of mobile network technology, the continuous increase of mobile traffic has put forward higher requirements for quality of service (QoS) issues such as asymmetric transmission delay. The paper mainly studies the energy distribution problem on the migration data link from the terminal device to the edge node in the mobile edge network. Multiple data service packages are set up at each hop on the migration data link, and these data service packages compete with each other, and ultimately only one terminal provides and stores energy for this hop. The migration strategy of the data service package is affected by the edge node, and the edge node changes the migration strategy according to the migration strategy of the data service package. The paper is based on the formation of nodes between the data service packages of different nodes on the 5G network data link to jointly control the migration strategy, coordinate the migration strategy formulated, and better coordinate the migration strategy. In this competitive game model, the optimal migration strategy of nodes is found out according to the terminal equipment access requirements. Then according to the node stability rules, the composition of nodes when the nodes are stable is obtained, the migration strategy of stable nodes and the migration and spectrum strategies of operators are obtained, and the migration strategy of joint control provides energy for edge nodes.
Mycosubtilin Produced by Bacillus subtilis ATCC6633 Inhibits Growth and Mycotoxin Biosynthesis of Fusarium graminearum and Fusarium verticillioides

Fusarium graminearum and Fusarium verticillioides are fungal pathogens that cause diseases in cereal crops, such as Fusarium head blight (FHB), seedling blight, and stalk rot. They also produce a variety of mycotoxins that reduce crop yields and threaten human and animal health. Several strategies for controlling these diseases have been developed. However, due to a lack of resistant cultivars and the hazards of chemical fungicides, efforts are now focused on the biocontrol of plant diseases, which is a more sustainable and environmentally friendly approach. In the present study, the lipopeptide mycosubtilin purified from Bacillus subtilis ATCC6633 significantly suppressed the growth of F. graminearum PH-1 and F. verticillioides 7600 in vitro. Mycosubtilin caused the destruction and deformation of plasma membranes and cell walls in F. graminearum hyphae. Additionally, mycosubtilin inhibited conidial spore formation and germination of both fungi in a dose-dependent manner. In planta experiments demonstrated the ability of mycosubtilin to control the adverse effects caused by F. graminearum and F. verticillioides on wheat heads and maize kernels, respectively. Mycosubtilin significantly decreased the production of deoxynivalenol (DON) and B-series fumonisins (FB1, FB2 and FB3) in infected grains, with inhibition rates of 48.92, 48.48, 52.42, and 59.44%, respectively. The qRT-PCR analysis showed that mycosubtilin significantly downregulated genes involved in mycotoxin biosynthesis. In conclusion, mycosubtilin produced by B. subtilis ATCC6633 was shown to have potential as a biological agent to control plant diseases and Fusarium toxin contamination caused by F. graminearum and F. verticillioides.
Deformation Monitoring for Subway Tunnels Based on TLS

The paper studies Terrestrial Laser Scanning used in subway tunnel deformation monitoring. For special narrow subway tunnel structure, the accumulated error between the adjacent station can be eliminated by global registration pattern which is to set the common control point within the section ends. Point cloud slicing is used to calculate the radius of the circle by multi-point coordinate, deformation is fitted to curve to show the monitoring result by analyzing the center coordinates sequence trends and mean curvature. Three-dimensional model of subway tunnel not only improves the accuracy of deformation monitoring, but also reflects the overall deformation trend. This method is applied to monitor deformation for Shanghai Metro Line twelve, comparing with the total station method, high precision of deformation monitoring meet the need.
Sustainable Structural Design Methodologies

Modern society is demanding that the use of energy associated with construction and operation of structures be investigated during the planning and design phases. The engineering community has been striving to design more sustainable buildings in an attempt to reduce both raw material requirements and energy use during all phases of design. Structural engineers currently have very limited guidance on how to incorporate sustainability concepts in their designs. Innovative methods are needed to address the environmental impact, energy use, and other sustainability issues faced during planning and design of buildings. This paper investigates and discusses five sustainable structural design methodologies: Minimizing Material Use, Minimizing Material Production Energy, Minimizing Embodied Energy, Life-Cycle Analysis/Inventory/Assessment, and Maximizing Structural System Reuse. The goal of this paper is to describe and address issues associated with the proposed design methodologies to determine which, if any, .
Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks

Modern transformer-based language models are revolutionizing NLP. However, existing studies into language modelling with BERT have been mostly limited to English-language material and do not pay enough attention to the implicit knowledge of language, such as semantic roles, presupposition and negations, that can be acquired by the model during training. Thus, the aim of this study is to examine behavior of the model BERT in the task of masked language modelling and to provide linguistic interpretation to the unexpected effects and errors produced by the model. For this purpose, we used a new Russian-language dataset based on educational texts for learners of Russian and annotated with the help of the National Corpus of the Russian language. In terms of quality metrics (the proportion of words, semantically related to the target word), the multilingual BERT is recognized as the best model. Generally, each model has distinct strengths in relation to a certain linguistic phenomenon. These observations have meaningful implications for research into applied linguistics and pedagogy, contribute to dialogue system development, automatic exercise making, text generation and potentially could improve the quality of existing linguistic technologies
Parameter determination: procedures for modeling system transients

This paper deals with parameter determination and is aimed at reviewing the procedures to be performed for deriving the mathematical representation data of the most important power components in electromagnetic transient simulations. It presents a conveniently arranged summary on the current status and practice in this field and emphasizes needed improvements for alleviating and augmenting the precision of modeling tasks in detailed transient analysis.