Miracle-dz/UniFAR-FTUs huggingface dataset:
Market Opportunities for US Aquaculture Producers: The Case of Branzino

The US is the world’s largest seafood importer by value, with an increasing share of imports composed of farmed seafood. Despite numerous policy initiatives, production and growth in the US aquaculture sector is limited, and there is a significant literature discussing potential explanations. In this paper the recent success of imported branzino is used to show that the market is not a constraint. Branzino is a portion-sized white-fleshed fish primarily farmed in the Mediterranean, with no obvious equivalents produced in the US. Since the turn of the century, imports have grown from zero to almost 10,000 metric tons, a quantity that would have made it the fourth-largest farmed fish species if produced in the US, and all is imported fresh. From 2015 when the quantities became more significant, the species entered the large whitefish market, although with a significant price premium relative to tilapia, the largest species in this market, indicating that the opportunity to create separate niches in the seafood market is limited.
Unmanned Aerial Vehicle Path Planning and Image Processing for Orthoimagery and Digital Surface Model Generation

Due to their relatively cheap costs and ability to fly at low altitudes above ground, micro unmanned aerial vehicles are ideal platforms for performing photogrammetric missions above archaeological sites. Advances in image matching and 3D point-cloud generation from 2D images have allowed easier generation of digital surface models and orthophotographs from images captured by an unmanned aerial vehicle equipped with a high-resolution camera. These digital surface models and orthophotographs are much higher resolution and generated in a timelier manner than those from traditional methods, such as satellites, kites, balloons and total stations. However, current unmanned aerial vehicle systems require a high level of technical knowledge or pilot ability to perform photogrammetric tasks. This thesis seeks to make the entire process of generating digital surface models and orthophotographs simpler, from capturing the images to processing them, by presenting a new path planning algorithm that optimizes over various parameters. Simulations showed that choosing a path, which minimizes the number of flight lines across the site being photographed, by accounting for geometric properties of the site, performs the best, even in the presence of wind. Furthermore, various parameters were explored using Agisoftâs Photoscan to generate digital surface models and orthophotographs from images captured by an unmanned aerial vehicle flown manually over an archaeological site in Peru. Those experiments with Photoscan revealed several, subjective image quality conditions for guaranteeing better image matching and confirmed that a back-and-forth path produces the best matching and quality of digital surface models and orthophotographs.
Double Channel Meter Reading Scheme with Micro-power Wireless and Low Voltage Power Line Carrier

In this paper, a micro-power wireless and low voltage power line carrier double channel meter reading scheme is proposed. The two communication channels of this scheme coordinate and supply each other, which takes the full advantages of each channel. The high real communication success rate and the accuracy of this meter reading scheme provide effective technical support for the construction of high efficiency, stable and practical electricity information collection system.
Using the Community Engagement Framework to Understand and Assess EJ-Related Research Efforts

Within an environmental justice frame, capacity-building has been an important component of efforts to address health disparities at the policy, system, and environment levels. While the literature is replete with studies that discuss the necessity of collective action as a means to generate power to overcome inequities, limited attention has been given to the structure of these efforts to build capacity and challenge environmental injustices. This study applies the community engagement continuum as a framework for understanding the scope of capacity-building strategies and the manner in which research investigators engage with their intended target community. Paired teams of independent analysts screened articles for relevance (n = 8452), identified records for content abstraction (n = 163), and characterized relevant studies (n = 58). Many articles discussed community engagement as being either collaborative or shared leadership (n = 32, 55.2%). While the most commonly used capacity-building strategies were organizing/social action (58.6%) and CBPR (50%), few studies were able to make an environmental impact (n = 23; 39.7%), and fewer had a direct legislative policy-related outcome (n = 13; 22.4%). This review identifies levels of collaborative involvement and strategic approaches used for strengthening community capacity in efforts of making transformative policy, systems, and environmental change.
SurfaceLens: near-surface spatial interaction with science museum exhibits

ABSTRACT Smartphone applications have become an essential tool for museums because of their positive impact on visitor experience. However, smartphones can potentially distract visitors from the exhibit, crippling the hands-on experience. In this study, we present SurfaceLens which is a smartphone-based peripheral device enabling near-surface spatial interaction with exhibits. SurfaceLens detects proximity, location on the surface, and orientation of the device while a visitor moves it along the surface of exhibits like using a magnifying glass. It provides an information space and audio-haptic feedback reflecting its location and orientation so that the visitor can feel like seeing-through the exhibit. We compared this near-surface spatial interaction with on-screen touch interaction to investigate their effect on visitor experience and behaviour. The results indicate that SurfaceLens provided a more intuitive and transparent understanding of the content when used as an observation tool. Moreover, narrowing down the distance between visitors and exhibits promotes exploratory behaviours.
Impact of Information Communication Technology in Rural Areas of Uttar Pradesh: Bridging the Divide

Rural India is at a critical stage. It is large in size; problems are aplenty, the challenges are daunting and thus can present a scary picture to an outsider. But if enabled, it has the potential to transform itself quickly. Technologies exist today to provide telephony and Internet in every village. Today ICT applications permeate all human activities i.e. education, health, agriculture, community development, livelihood activities, entrepreneurship development, governance, emergencies to name a few. Inventions across these sectors lead to propriety - social, economic, cultural and political at large – that entails wider ramifications for human development at large. Such developmental promises of ICT encourage us; firstly to elaborate the role knowledge plays in human development; secondly to explore the critical inter-linkages of ICTs with various facets of rural development. Rural Development is seen as a catalyst for their socio-economic transformation. Development applications of ICTs need to understand and build on the patterns of communication behaviour established within target beneficiary communities– offering new opportunities and supplementing communication choices where this is possible and appropriate, but also recognising the behavioural patterns and preferences of the communities within which new opportunities are made available. Successful initiatives in this area need to be “people-” rather than “technologycentred”.
A model for solar powered aircraft preliminary design

Abstract Solar powered aircraft are becoming more and more interesting for future long endurance missions at high altitudes, because they could provide Earth monitoring, telecommunications, etc. without any atmospheric pollution and, hopefully in the near future, with competitive costs compared with satellites. The research activities carried out till now have been mainly focused on flying wings or conventional aircraft configurations, with a great emphasis on the technological aspects. The present paper aims to define a mathematical model for solar powered aircraft preliminary design, valid independently of the aerodynamic configuration. A preliminary analysis is carried out in order to simulate Helios and the results are compared with those available from the flights of this aircraft. The proposed mathematical model is used also to compare four different aircraft configurations, namely: a flying wing, a conventional aircraft, a twin boom aircraft and a biplane aircraft. The results obtained are discussed in the paper and an optimum aircraft is analysed.
Access to edge scenarios for testing a scraper element in early operation phases of Wendelstein 7-X

The edge topology of magnetic fusion devices is decisive for the control of the plasma exhaust. In Wendelstein 7-X, the island divertor concept will be used, for which the edge topology can change significantly as the internal currents in a plasma discharge evolve towards steady-state. Consequently, the device has been optimized to minimize such internal currents, in particular the bootstrap current []. Nonetheless, there are predicted pulse scenarios where effects of the remaining internal currents could potentially lead to overload of plasma-facing components. These internal currents are predicted to evolve on long time scales (tens of seconds) so their effects on the edge topology and the divertor heat loads may not be experimentally accessible in the first years of W7-X operation, where only relatively short pulses are possible. However, we show here that for at least one important long-pulse divertor operation issue, relevant physics experiments can be performed already in short-pulse operation, through judicious adjustment of the edge topology by the use of the existing coil sets. The specific issue studied here is a potential overload of the divertor element edges. This overload might be mitigated by the installation of an extra set of plasma-facing components, so-called scraper elements, as suggested in earlier publications. It is shown here that by a targeted control of edge topology, the effectiveness of such scraper elements can be tested already with uncooled test-scraper elements in short-pulse operation. This will allow an early and well-informed decision on whether long-pulse-capable (actively cooled) scraper elements should be built and installed.
The Cost of Carbon Leakage: Britain’s Carbon Price Support and Cross-border Electricity Trade

Carbon taxes create global benefits unless offset by increased emissions elsewhere. An additional carbon tax in one country may cause leakage through imports and will also increase costs by creating a wedge between economic marginal costs in different markets, causing an offsetting deadweight loss. We estimate the global benefit, carbon leakage and deadweight cost of the British Carbon Price Support (CPS) on GB’s cross-border electricity trade with France and The Netherlands. Over 2015–2020 the unilateral CPS created €72넠 m/yr deadweight loss, about 31% of the initial economic value created by the interconnector, or 2.5% of the global emissions benefit of the CPS at €2.9±0.1 bn/yr. About 16.3±3.5% of the CO2 emissions reduction is undone by France and The Netherlands, the monetary loss of which is about €584±127 m/yr.
Performance Analysis of Wireless MIMO System by Using Alamouti's Scheme and Maximum Ratio Combining Technique

Abstract—With the integration of Internet and multimedia applications in next generation wireless communications, the demand for wide-band high data rate communication services is growing. As the available radio spectrum is limited, higher data rates can be achieved only by designing more efficient signaling techniques. Recent research in information theory has shown that large gains in capacity of communication over wireless channels are feasible in multiple input multiple output (MIMO) systems as well as significantly enhances the system performance compared to conventional systems in fading multipath channel environment. The MIMO channel is constructed with multiple element array antennas at both ends of the wireless link. All these MIMO techniques are based on proper handling of (Alamouti scheme and maximum ratio combining method) signals transmitted and received by an array of antennas. Simulation results show very high performance in terms of bit error rate, even for low signal-to-noise ratios.
Messsystem zur ortsaufgelösten Schallfeldmessung

Zusammenfassung Das Schallfeld um eine Lärmquelle gibt Aufschluss über die Position einzelner Teilschallquellen sowie deren Beitrag zum insgesamt emittierten Schall. Um eine schnelle und einfache Kartierung von Schallfeldern zu ermöglichen, wurde ein Messsystem entwickelt, das die Position eines Mikrofons ermittelt und so dem gemessenen Schalldrucksignal einen Ort zuordnen kann. Das Mikrofon ist hierzu an einem handgeführten Marker angebracht, der mit einem Ultraschallsender ausgestattet ist. Mittels Laufzeitmessung zwischen Marker und im Raum verteilten Ultraschallempfängern wird dessen Position bestimmt. Es werden praktische Ergebnisse aus der Analyse von Strukturschwingungen und Messungen von Schallfeldern in der Umgebung von Geräten vorgestellt.
Analysis of Competitiveness Fisheries Processing Industry in West Java, Indonesia

The fisheries sector is one of the leading sectors in Indonesia contributinge to the regional and national economy such as in West Java Province in the fishery processing sector which has advantages in each region and can lead to competitiveness. This study to analyze the competitiveness of fisheries processing industry in West Java Province. This research was carried out in January 2021 – July 2021. The method used was a literature survey method to determine the competitiveness of the fisheries processing industry in 24 Regencys/cities in West Java Province. All data are processed and analyzed descriptively. Primary data was obtained from expert judgment consisting of 12 people regarding the proportion of competitiveness of the fisheries processing industry. Secondary data is obtained from statistical data on the fisheries processing industry of West Java province from the marine and fisheries service from 2010 to 2018. The results showed that Depok City was ranked first with very high competitiveness with a final score of 28.76. Depok City has advantages in three variables, namely the facilities and infrastructure, production, and the application of science and technology. Meanwhile, Banjar City ranked last which had low competitiveness with a final score of 0.26. Banjar City does not have an advantage in each variable category because it is in the category of moderate and low competitiveness.
Split Slant-End Stubs for the Design of Broadband Efficient Power Amplifiers

This paper suggests a class-F power amplifier with split open-end stubs to provide a broadband high-efficiency operation. These stubs are designed to have wide bandwidth by splitting wide open-end stubs into narrower stubs connected in shunt in an output matching network for class-F operation. In contrast to conventional wideband class-F designs, which theoretically need a large number of matching lines, this method requires fewer transmission lines, resulting in a compact circuit implementation. In addition, the open-end stubs are designed with slant ends to achieve additional wide bandwidth. To verify the suggested design, a 10-W class-F power amplifier operating at 1.7 GHz was implemented using a commercial GaN transistor. The measurement results showed a peak drain efficiency of 82.1% and 750 MHz of bandwidth for an efficiency higher than 63%. Additionally, the maximum output power was 14.45 W at 1.7 GHz.
A Zonal Congestion Management Using Transmission Congestion Distribution Factors

In a deregulated electricity market, it may always not be possible to dispatch all of the contracted power transactions due to congestion of the transmission corridors. System operators try to manage congestion, which otherwise increases the cost of the electricity and also threatens the system security and stability. In this paper, a new zonal/cluster-based congestion management approach has been proposed. The zones have been determined based on lines real and reactive power flow sensitivity indexes also called as real and reactive transmission congestion distribution factors. The generators in the most sensitive zones, with strongest and nonuniform distribution of sensitivity indexes, are identified for rescheduling their real power output for congestion management. In addition, the impact of optimal rescheduling of reactive power output by generators and capacitors in the most sensitive zones has also been studied. The proposed new zonal concept has been tested on 39-bus New England system and a 75-bus Indian system.
Cybersecurity Enhancement for Multi-Infeed High-Voltage DC Systems

Composed of multiple two-terminal high-voltage DC (HVDC) transmission systems, a multi-infeed HVDC (MIDC) system exchanges massive power among multiple asynchronous AC systems. However, as an intrinsically cyber-physical system, an MIDC system could suffer from cyber-attacks, leading to massive power mismatches in multiple AC systems, and resulting in catastrophic consequences. Since the sequential responses of an MIDC system and interconnected AC systems are in different timescales, this paper first establishes a two-timescale model to evaluate the sequential impacts caused by cyber-attacks. Then, an event-triggered cyber-defense strategy is proposed to enhance the cybersecurity of an MIDC system by mitigating multiple non-simultaneous cyber-attacks. Whenever new cyber-attack events occur, the proposed cyber-defense strategy, which is mathematically modeled as a mixed-integer quadratic programming problem, is executed on-line and updated in an event-triggered manner. Simulation results on an MIDC system demonstrate that the low-cost and almost blind cyber-attacks can cause severe frequency deviations, and the proposed strategy can mitigate multi-cyber-attacks effectively.
Abnormal symptom-triggered remaining useful life prediction for rolling element bearings

Remaining useful life prediction of rolling element bearings is significant to improve the safety and reliability of engineering systems. It is a vital issue to perceive abnormal symptoms for remaining useful life prediction so as to set the occurrence time as the first prediction time. Traditional methods need to define indicators manually to determine the abnormal symptoms, which rely on a lot of domain knowledge and expert experience. This paper proposes a novel abnormal symptoms-triggered remaining useful life prediction approach for rolling element bearings. An adaptive kernel spectral clustering model is constructed in the abnormal symptoms-triggered remaining useful life prediction approach to adaptively detect the abnormal symptoms in real time from multi-dimensional degradation features extracted by integrating time-domain, frequency-domain, time-frequency, and time-series analysis. The occurrence time of abnormal symptoms is set as the first prediction time of the remaining useful life predictor, which is a new type of particle swarm optimization-quantile regression neural network. A benchmarking dataset of rolling element bearings is adopted to evaluate the proposed abnormal symptoms-triggered remaining useful life prediction approach. Experimental results show that this abnormal symptoms-triggered remaining useful life prediction approach is superior to many other prognostic approaches.
Elections in Nondemocratic Settings: When and Why Do They Help Regime Survival?

Background: Elections in nondemocratic settings are expected to play a regime sustaining role and a regime subverting role. Recent research finds that these two seemingly competing views are not mutually exclusive, but rather complementary with each other. This is the case because the regime subverting role of elections is at work in the short run, whereas the regime sustaining role operates in the long term. In this paper, I argue that these effects are conditional on the nature of competition in those elections. Specifically, I contend that these effects that derive from the informational role of elections do not emerge when opposition forces boycott the elections. Methods: Using data from 262 nondemocratic regimes in 116 countries from 1946 to 2007, I examined (1) whether holding multiparty elections with ex ante competition increases the risks of authoritarian breakdowns; (2) whether holding multiparty elections without opposition boycott increases the risks of authoritarian breakdowns in the short term; and (3) whether holding multiparty elections without opposition boycott decreases the likelihood of authoritarian breakdowns in the long run. Results: First, only legislative elections with ex ante competition are found to increase the probability of authoritarian breakdowns. Second, both presidential and legislative elections increase the likelihood of authoritarian breakdowns in the short term only if viable opposition candidates or parties compete. Lastly, both presidential and legislative elections decrease the chances of authoritarian breakdowns in the long run, but this effect is present only when viable opposition do not boycott the elections. Conclusions: The regime subverting role and the regime sustaining role of elections in nondemocratic settings can be contaminated by the absence of opposition forces. This paper suggests a need to further scrutinize the nature and quality of elections when assessing their impact on the survival of nondemocratic regimes.