Miracle-dz/UniFAR-FTUs huggingface dataset:
Multireceiver acoustic communications in time-varying environments

Abstract : In this thesis, we present a two-receiver underwater acoustic communications system. It is based on the Kalman filter for equalization and tracking of acoustic channels characterized by considerable multipath. To model this channel and its dependency on the ocean environment we use the Bellhop acoustic ray tracing model. Error-correction coding is applied to the source data. Recursively updated channel estimates are used to update the state filters and tracking of the channel. It is shown that, under moderate conditions of Doppler shift and signal-to-noise (SNR) ratio, this algorithm is effective in tracking the channel and reconstructing the transmitted data.
The significance of radiation efficiencies when using S-parameters to calculate the received signal correlation from two antennas

The correlation coefficient between signals received by two antennas can be calculated from port S-parameters. Antenna radiation efficiencies must, however, also be considered. They result in an uncertainty in the calculated received signal correlation, if the correlation between the losses is unknown, which is often the case. Relations are presented for the effect antenna efficiencies have on the calculated correlation.
Evaluating Carsharing Benefits

Carsharing is an automobile-rental service intended as a substitute for private-vehicle ownership. Carsharing emphasizes affordability and convenience. Vehicles are located near residences, rented by the hour, and require minimal effort to check in and check out. Carsharing services are common in some European countries and are increasingly common in North America. Carsharing gives consumers a practical alternative to owning a personal vehicle that is driven fewer than 10 000 km (6,000 mi)/year. Carsharing has lower fixed costs and higher variable costs than private-vehicle ownership. This price structure makes occasional use of a vehicle affordable, even to low-income households. It also gives drivers an incentive to minimize their vehicle use and to rely on other travel options as much as possible. Carsharing typically reduces average vehicle use by 40 to 60 percent among drivers who rely on it, making it an important transportation demand-management strategy. Despite these benefits, the use of carsharing is growing slowly and will need to overcome several barriers to achieve its full potential.
INVESTIGATION OF BEHAVIOR OF INTERIOR STEEL CONNECTIONS WITH OPENINGS IN BEAM WEB AND FLANGE UNDER MONOTONIC LOADING

Connections are considered to be one of the most prominent components of steel moment frames and have received studious attention in recent years. The core problem of welded connections is premature brittle fracture of weld in the critical beam-to-column connection region. Within the framework of this issue, various approaches have been proposed to solve the mentioned problem. Intentional weakening of the beam web or flange is in line with the purpose of leading the plastic hinge away from the column face, hence, increasing the ductility. The aim of this research is to investigate the behavior of interior connections subjected to monotonic lateral loading in case of presence of openings in beam web or flange. To do so, an ordinary fully welded rigid connection, reduced beam section, reduced web section, and drilled flange connection models are simulated numerically, utilizing finite element software, ANSYS. The results indicate that scrupulous selection of opening sizes are of great importance to fulfill the desired outcome which is avoiding the brittle failure of connections. Furthermore, the use of drilled flange, reduced beam section, or reduced web section connections satisfy the expected performance and it is proposed to use them according to practicability, architectural and economic considerations as well as site conditions. Shear deformation and local buckling is observed in reduced web section connections while in drilled flange connections, stress concentration around the opening is critical.
Application of FFTBM to Severe Accidents

In Europe an initiative for the reduction of uncertainties in severe accident safety issues was initiated. Generally, the error made in predicting plant behaviour is called uncertainty, while the discrepancies between measured and calculated trends related to experimental facilities are called the accuracy of the prediction. The purpose of the work is to assess the accuracy of the calculations of the severe accident International Standard Problem ISP-46 (Phebus FPT1), performed with two versions of MELCOR 1.8. 5 for validation purposes. For the quantitative assessment of calculations the improved fast Fourier transform based method (FFTBM) was used with the capability to calculate time dependent code accuracy. In addition, a new measure for the indication of the time shift between the experimental and the calculated signal was proposed. The quantitative results obtained with FFTBM confirm the qualitative conclusions made during the Joef Stefan Institute participation in ISP-46. In general good agreement of thermal-hydraulic variables and satisfactory agreement of total releases for most radionuclide classes was obtained. The quantitative FFTBM results showed that for the Phebus FPT1 severe accident experiment the accuracy of thermal-hydraulic variables calculated with the MELCOR severe accident code is close to the accuracy of thermal-hydraulic variables for design basis accident experiments calculated with bestestimate system codes.
Assessment of Startup Fuel Options for the GNEP Advanced Burner Reactor (ABR)

The Global Nuclear Energy Program (GNEP) includes a program element for the development and construction of an advanced sodium cooled fast reactor to demonstrate the burning (transmutation) of significant quantities of minor actinides obtained from a separations process and fabricated into a transuranic bearing fuel assembly. To demonstrate and qualify transuranic (TRU) fuel in a fast reactor, an Advanced Burner Reactor (ABR) prototype is needed. The ABR would necessarily be started up using conventional metal alloy or oxide (U or U, Pu) fuel. Startup fuel is needed for the ABR for the first 2 to 4 core loads of fuel in the ABR. Following start up, a series of advanced TRU bearing fuel assemblies will be irradiated in qualification lead test assemblies in the ABR. There are multiple options for this startup fuel. This report provides a description of the possible startup fuel options as well as possible fabrication alternatives available to the program in the current domestic and international facilities and infrastructure.
Optimizing reformer tube life through advanced inspection and remaining life assessment

Steam reformer tubes must withstand high temperature and pressures during operation and are made from centrifugally cast materials, typically HK‐40, HP modified, and microalloy materials. As operating conditions can result in various forms of damage, the identification and quantification of damage is of vital importance if tube life is to be predicted accurately. This article describes the recent developments in an inspection system, which uses multiple nondestructive testing techniques to provide the most comprehensive assessment of current tube condition. This is coupled with a sophisticated remaining life assessment software model, which not only predicts the remaining life of each tube in a furnace but can also calculate the effect of changes in future operating conditions on tube ageing. Field experiences and findings are also discussed in the article. © 2010 American Institute of Chemical Engineers Process Saf Prog, 2010
Antisense Oligonucleotide-Based Therapy of Viral Infections

Nucleic acid-based therapeutics have demonstrated their efficacy in the treatment of various diseases and vaccine development. Antisense oligonucleotide (ASO) technology exploits a single-strand short oligonucleotide to either cause target RNA degradation or sterically block the binding of cellular factors or machineries to the target RNA. Chemical modification or bioconjugation of ASOs can enhance both its pharmacokinetic and pharmacodynamic performance, and it enables customization for a specific clinical purpose. ASO-based therapies have been used for treatment of genetic disorders, cancer and viral infections. In particular, ASOs can be rapidly developed for newly emerging virus and their reemerging variants. This review discusses ASO modifications and delivery options as well as the design of antiviral ASOs. A better understanding of the viral life cycle and virus-host interactions as well as advances in oligonucleotide technology will benefit the development of ASO-based antiviral therapies.
Development and Evaluation of an Intelligence and Learning System in Jurisprudence Text Mining in the Field of Competition Defense

A jurisprudence search system is a solution that makes available to its users a set of decisions made by public bodies on the recurring understanding as a way of understanding the law. In the similarity of legal decisions, jurisprudence seeks subsidies that provide stability, uniformity, and some predictability in the analysis of a case decided. This paper presents a proposed solution architecture for the jurisprudence search system of the Brazilian Administrative Council for Economic Defense (CADE), with a view to building and expanding the knowledge generated regarding the economic defense of competition to support the agency’s final procedural business activities. We conducted a literature review and a survey to investigate the characteristics and functionalities of the jurisprudence search systems used by Brazilian public administration agencies. Our findings revealed that the prevailing technologies of Brazilian agencies in developing jurisdictional search systems are Java programming language and Apache Solr as the main indexing engine. Around 87% of the jurisprudence search systems use machine learning classification. On the other hand, the systems do not use too many artificial intelligence and morphological construction techniques. No agency participating in the survey claimed to use ontology to treat structured and unstructured data from different sources and formats.
Research on Prize-Collecting Vehicle Routing Problem Considering Dynamic Pickup Demands

Considering the current orders could not be fully served in a day time and dynamic pickup demands may appear randomly, this paper discussed the prize-collecting vehicle routing problem(PCVRP) with soft time windows, simultaneous pickup and delivery, and dynamic pickup demands(DPCVRP). It established a mathematical model and proposed a heuristic algorithm to solve it. The algorithm was based on the adaptive large neighborhood search algorithm, which embed tabu search algorithm. Simulation experiments results proved the model's rationality and the algorithm's effectiveness.
MIMO Array-Radiation-Pattern Optimization for Effective-Field-of-View Enhancement in MMW Short-Range Imaging

Insufficient effective-field-of-view caused by narrow-beam antennas in millimeter-wave (MMW) multi-input multi-output (MIMO) short-range imaging greatly reduces the synthesis efficiency of the MIMO array, resulting in a severe degradation of imaging performance. Therefore, in this article, an array-radiation-pattern optimization is proposed to address this problem. The proposed method is simple yet effective to implement by adjusting the beam pointing of each antenna. For simplifying the computational complexity, the solution of 2-D angles of beam pointing is converted into an optimization of 1-D amplitude weighting and their unique remapping then is guaranteed based on the measured radiation pattern of the antenna and the layout of MIMO arrays. In such a way, the beam pointing of each antenna in the MIMO array is inclined on purpose rather than perpendicular to the array plane as usual. Simulations and experiments are performed to demonstrate the availability of the proposed method, and reveal that it can effectively assist the MMW MIMO array in achieving high-resolution imaging in short-range applications.
Multi-Beam Conformal Patch Antenna Array for WAIC System Application

In this paper, a conformal patch antenna array with multiple directional beams for wireless communication in the cabin is proposed. Patch antennas operating in the band assigned for the Wireless Avionics Intra-Communications (WAIC) are chosen in the work for a wide signal-coverage in the cabin. Results show that, by accommodating the antennas’ position properly, good isolation between antennas can be achieved in a limited space, thereby ensuring the miniaturization and high radiation efficiency of the multi-beam array system. The proposed design has a compact and simple configuration, which can be a promising candidate for WAIC system applications.
Historical fire ecology and its effect on vegetation dynamics of the Lagunas de Montebello National Park, Chiapas, México

Historical information on wildfires and dendrochronological studies offer meaningful clues about fire and climate regimes, factors that affect forest structure and dynamics. This study aimed to determine the effect of fire history on vegetation dynamics and successional pathways of areas under different fire management policies in the Lagunas de Montebello National Park (LMNP), Chiapas, México. The selected study sites were El Parque area under fire exclusion policies since 1961; Tziscao-inhabited area under fire prohibi-tion since 1984; and Antelá area with a traditional agricultural fire management history. A Pinus oocarpa ring-width chronology was used as a proxy for climate variability to which wildfire occurrence was mapped and to determine the establishment patterns of this dominant species. Current vegetation composition and structure and fuel loads were determined to characterise the study sites. Large wildfires, like those occurring in 1984 and 1998, were associated with periods of high humidity followed by intense droughts; they were linked to strong El Niño events and severely impacted the LMNP. Vegetation dynamics indicated simplification of mesophyll forest (climax) to pine-oak-sweetgum forests, with Pinus dominating the overstorey in all sampling sites. Pine, oak and sweetgum species were the dominant juvenile trees in Antelá, El Parque and Tziscao, respectively. Late-successional seedlings ( i.e. , Prunus ) were present in Antelá and El Parque, while were absent from Tziscao where several wildfires had occurred. Fuel accumulation in sites within protected areas subject to fire exclusion policies was very high (40-68 t ha -1 ); in contrast, it was the lowest in rural Antelá (24 t ha -1 ). Considering vegetation vulnerability to wildfires associated with extreme humid-dry climate events, increased fire hazard due to fuel accumulation, and the socio-ecological impacts of these events, we recommend revising the fire exclusion policies currently imple-mented in the LMNP and applying an integrated fire management approach that incorporates local socio-ecological conditions.
Broadband couplers for UHF detection of partial discharge in gas-insulated substations

The paper describes investigations of the UHF performance of a disc coupler designed for continuous monitoring of partial discharge in gas-insulated substations and indicates how the UHF sensitivity can be improved. Resonant frequencies of the disc are calculated, and the coupler is shown to be most sensitive at these frequencies. The bandwidth of the coupler can be extended by coupling the UHF signal from the edge of the disc, allowing detection of a greater number of the possible resonant modes of the disc, including the dominant, lowest frequency mode. Sensitivity to the UHF signals generated by partial discharge can be further improved by various means. The disc can be earthed at certain points while still retaining the coupling function. A novel nonresonant experimental coupler design is also presented, based on the design techniques used for broadband log-spiral antennas. The frequency response of the spiral coupler is much flatter than that of a comparable disc coupler.
Research and Design of a Digital Twin-Based Enterprise Architecture Digital Control Platform for Provincial Electrical Power Company

With the deep integration of energy revolution and digital revolution, various new businesses, new formats and new business models are constantly emerging in the electric power industry, and new digital technologies are developing rapidly. The enterprise architecture in urgent need of power grid can be rapidly transformed to keep pace with the development of The Times. But at present, the company enterprise architecture because of the lack of effective management means, there is unclear, architecture standard not unified architecture assets to master problems such as nonstandard, architecture, control, produce the repeated construction and technical route of complicated system function, design, development and inconsistent problems, unable to meet the demand of power grid enterprise digital transition quickly, Therefore, based on the SG-EA architecture standard of State Grid Co., LTD., combined with the current situation and problems of enterprise architecture management of provincial power grid, the digital twin model was used to carry out the research and design of enterprise architecture digital control platform to promote the online maintenance of architecture assets and the management and control of architecture assets in the whole process of the project. To fully support the panoramic visualization of assets of enterprise architecture, lean management and control of the whole process and intelligent asset analysis, ensure that the enterprise architecture has a clear background, standard architecture, unified standards and implementation in place, effectively avoid problems such as repeated system construction and inconsistent technology, and help achieve the strategic goals of the company.
Nowcasting Euro Area GDP with News Sentiment: A Tale of Two Crises

This paper shows that newspaper articles contain timely economic signals that can materially improve nowcasts of real GDP growth for the euro area. Our text data is drawn from fifteen popular European newspapers, that collectively represent the four largest Euro area economies, and are machine translated into English. Daily sentiment metrics are created from these news articles and we assess their value for nowcasting. By comparing to competitive and rigorous benchmarks, we find that newspaper text is helpful in nowcasting GDP growth especially in the first half of the quarter when other lower-frequency soft indicators are not available. The choice of the sentiment measure matters when tracking economic shocks such as the Great Recession and the Great Lockdown. Non-linear machine learning models can help capture extreme movements in growth, but require sufficient training data in order to be effective so become more useful later in our sample.
Optimizing Recombinant Baculovirus Vector Design for Protein Production in Insect Cells

Autographa californica nucleopolyhedrovirus is a very productive expression vector for recombinant proteins in insect cells. Most vectors are based on the polyhedrin gene promoter, which comprises a TAAG transcription initiation motif flanked by 20 base pairs upstream and 47 base pairs downstream before the native ATG. Many transfer vectors also include a short sequence downstream of the ATG, in which case this sequence is mutated to ATT to abolish translation. However, the ATT sequence, or AUU in the mRNA, is known to be leaky. If a target-coding region is placed in the frame with the AUU, then some products will comprise a chimeric molecule with part of the polyhedrin protein. In this study, we showed that if AUU is placed in the frame with a Strep tag and eGFP coding region, we could identify a protein product with both sequences present. Further work examined if alternative codons in lieu of AUG might reduce translation initiation further. We found that AUA was used slightly more efficiently than AUU, whereas AUC was the least efficient at initiating translation. The use of this latter codon suggested that there might also be a slight improvement of protein yield if this is incorporated into expression vectors.
HybNet: A Hybrid Deep Learning-Matched Filter Approach for IoT Signal Detection

Random access schemes are widely used in IoT wireless access networks. They enable a reduced complexity and overcome power consumption constraints. Nevertheless, random access results in high packet losses which are caused by overlapping transmissions. Signal detection methods for digital modulation techniques are typically based on the well-established matched filter, which is proven as the optimal filter under additive white Gaussian noise for minimizing error probability. However, with the colored interference arising from the overlapping IoT transmissions, deep learning approaches are being considered a suitable alternative. In this paper, we present a hybrid framework, dubbed as HybNet, that alternates between deep learning and match filter pathways based on the perceived interference level. This helps the detector to work in a broader range of conditions, optimally leveraging both the matched filter and deep learning advantages. We compare the performance of several possible data modalities and detection architectures concerning the interference-to-noise ratio, demonstrating that leveraging domain knowledge by pre-processing the input data in conjunction with the proposed HybNet surpasses the complex conjugate matched filter performance under interference-limited scenarios.
Embodying material ideation

New materials and technologies offer the potential for highly innovative systems. Yet also challenge us to expand how we design. ‘Post-disciplinary embodied ideation’ is an emerging approach to knowledge generation and exchange amongst designers, scientists and the public. Its purpose is to enrich the conception and design of innovative on-body systems, informed – yet unconstrained – by current knowledge. In this paper I describe three approaches to engaging the public in post-disciplinary embodied ideation. In each case, the use of video, photography, audio, and other forms of documentation are carefully curated to support and fruitfully disrupt – rather than interfere with – the aesthetic experience. So, while micro-analysis of video and audio might promise deep insights, significant challenges remain if such approaches are to be effectively leveraged. By opening this work up to the research community I hope to launch a conversation about how post-disciplinary approaches to embodied ideation might evolve to support deeper analysis. In doing so, I contribute to the development of a theoretical lens for this emerging area of research.