Miracle-dz/UniFAR-FTUs huggingface dataset:
Mass Media and Social Media Agenda Analysis Using Text

This study analyzes online news articles and cafe articles on the '5-day Rotation Mask Distribution System', which is emerging as a recent issue due to the COVID-19 incident, to identify the mass media and social media agendas containing media and public reactions. This study figured out the difference between mass media and social media. For analysis, we collected 2,096 full text articles from Naver and 1,840 posts from Naver Cafe
An Empirical Investigation of the Impact of FDI, Export and Gross Domestic Savings on the Economic Growth in Bangladesh

Bangladesh is a developing country with a huge population. So it is necessary to ensure better economic performance of Bangladesh. The purpose of the paper is to empirically investigate the impact of FDI, export, and gross domestic savings on the economic growth of Bangladesh and also tries to show the impact of inflation, industry value-added, and population growth on economic growth. We conduct the research with data covering the year from 1972 to 2017. Autoregressive Distributed Lag Bound Testing (ARDL BT) and Error Correction Model (ECM) are applied. The result of the ARDL model shows that the coefficient of FDI is 0.05 indicating that if FDI rises 1% then growth of the GDP will rise 0.05%. The coefficient of one year lag FDI is negative but insignificant. Again 1% rise in exports leads 0.03% rise in growth. Gross domestic savings positively affect GDP growth but statistically not significant. Inflation negatively affects the economic growth of Bangladesh. If inflation decreases by 1% then GDP growth will increase by 0.04%. Industry value added has positive effects on growth, a 1% increase in Industry value-added leads to a significant increasing in growth by 8.68%. Population growth negatively impacts economic growth. If the growth of the population decreases by 1% then 1.88% will increase the growth. Long run relation of the variables is ensured by the bound test and ECM-1 is significantly negative and indicating that adjustment is corrected by 145%. Hypotheses testing ensure except export other variables are short-run determinants of growth. empirical
Visual control of landing maneuvers in houseflies on vertical and inverted surfaces

Landing maneuvers in flies are complex behaviors that may be conceptually decomposed into a sequence of modular behaviors such as body deceleration, extension of legs, and body rotations which are coordinated to ensure controlled touchdown. The composite nature of these behaviors means that there is variability in the kinematics of landing maneuvers, making it difficult to identify the general rules that govern this behavior. Many previous studies have relied on tethered preparations to study landing behaviors, but tethering constrains some behavioral modules to operate in an open feedback control loop while others remain in closed-loop, thereby inducing experimental artefacts. On the other hand, freely flying insects are hard to precisely control, which may also increase behavioral variability. One approach towards understanding the general rules underlying landing behavior is to determine the common elements of landing kinematics on surfaces that are oriented in different ways. We conducted a series of experiments in which the houseflies, Musca Domestica, were lured to specific visual targets on either vertical or inverted horizontal substrates. These conditions elicited landing behaviors in the flies that could be captured accurately using multiple high-speed video cameras. We filmed the houseflies landing on surfaces oriented along two directions: vertical (vertical landings), and upside down (inverted landings). Our experiments reveal that flies that are able to land feet-first in a controlled manner must satisfy specific criteria, failing which their landing performance is compromised causing their heads to bump into the surface during landing. Flies landing smoothly on both surfaces initiate deceleration at approximately fixed distances from the substrate and in direct proportion to the component of flight velocity normal to the landing surface. The ratio of perpendicular distance to the substrate and velocity at the onset of deceleration was conserved, despite the large differences in the mechanics of the vertical vs. inverted landings. Flies extend their legs independently of distance from the landing surface or their approach velocity normal to the surface, regardless of the orientation of the landing substrate. Together, these results show that the visual initiation of deceleration is robust to orientation of the landing surface, whereas the initiation of leg-extension may be context-dependent and variable which allows flies to land on substrates of various orientations in a versatile manner. These findings may also be of interest to roboticists that are interested in developing flapping robots that can land on surfaces of different orientations.
A Simplified Simulation Procedure and Analysis of a Photovoltaic Solar System Using a Single Diode Model

A single diode model for a photovoltaic solar module is the most ideal and quick way of analyzing the module characteristics before implementing them in a solar plant. Solar modules manufacturers provide information for three critical points that are essential in I-V, P-V or P-I curves. In this study, we propose four separate simulation procedures to estimate the five-model parameters of an analogous single diode equivalent circuit by utilizing three cardinal points of the photovoltaic module I-V curve, described from experimental data using a solar simulator and manufacturer’s datasheet. The main objective is to extract and use the five unknown parameters of a single diode model to describe the photovoltaic system using I-V ad P-V plots under different environmental conditions. The most influential parameters that greatly alter the cardinal points defined at short circuit point (SCP), the maximum power point (MPP) and the open circuit point(OCP) are the ideality factor (n) and the diode saturation current (Io). For a quick and fast convergence, we have determined the optimal ideality factor (no) and optimal saturation current (Ioopt) as the primary parameters by first assuming the optimal values of Rsh, Rs and Iph at standard test conditions (STC). Further, we evaluated the effects of Iph, Rs and Rsh on I-V and P-V curves by considering the values of n below no. We have evaluated different iterative procedures of determining Rsh and Rs at open-circuit, short-circuit point and the maximum-power points. These procedures have been classified into four approaches that guarantees positive shunt and series resistance for n ≤ no. These approaches have been categorized by deriving the saturation current as a dependent variable at each cardinal point with or without Rs and Rsh pair. The values obtained for the five parameters have been used to simulate the photovoltaic solar module characteristic curves with great precision at different air temperatures and irradiances, considering the effect of Nominal Operating Cell Temperature (NOCT).
The Alternate Arm Converter “Extended-Overlap” Mode: AC Faults

This article presents ac fault ride-through strategies for the “extended-overlap” operating mode of the alternate arm converter (AAC), which is a type of modular multilevel voltage source converter that has been proposed for HVdc transmission applications. The AAC offers several benefits over the half-bridge modular multilevel converter, such as requiring fewer submodules with a smaller capacitance and providing dc fault ride-through capability. Novel symmetrical and asymmetrical ac fault ride-through strategies are described and these strategies are experimentally validated by using a small scale prototype.
Knowledge Graph Representation Reasoning for Recommendation System

: In view of the low interpretability of existing collaborative filtering recommendation algorithms and the difficulty of extracting information from content-based recommendation algorithms, we propose an efficient KGRS model. KGRS first obtains reasoning paths of knowledge graph and embeds the entities of paths into vectors based on knowledge representation learning TransD algorithm, then uses LSTM and soft attention mechanism to capture the semantic of each path reasoning, then uses convolution operation and pooling operation to distinguish the importance of different paths reasoning. Finally, through the full connection layer and sigmoid function to get the prediction ratings, and the items are sorted according to the prediction ratings to get the user’s recommendation list. KGRS is tested on the movielens-100k dataset. Compared with the related representative algorithm, including the state-of-the-art interpretable recommendation models RKGE and RippleNet, the experimental results show that KGRS has good recommendation interpretation and higher recommendation accuracy.
Effects of Dietary Aqueous Extract from Eucommia ulmoides Oliver on Growth, Muscle Composition, Amino Acid Composition and Fatty Acid Composition of Rainbow Trout (Oncorhynchus mykiss)

Li Yao1,2,3, AnQing Zhang1,2,3, HaiYan Zhang2, Jian Shao1,2,3, Ming Wen2,4, ChangAn Wang5, HaiBo Jiang1,2,3,* and Ming Li6,* 1Breeding and Reproduction in The Plateau Mountainous Region, Ministry of Education (Guizhou University), Guiyang 550025, China 2College of Animal Science, Guizhou University, Guiyang 550025, China 3Special Fisheries Research Institute, Guizhou University, Guiyang 550025, China 4Key Laboratory for Animal Diseases and Veterinary Public Health of Guizhou Province, Guiyang 550025, China 5Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China 6School of Marine Sciences, Ningbo University, Ningbo 315211, China Article Information Received 19 December 2019 Revised 12 Februaary 2020 Accepted 04 March 2020 Available online 26 June 2020
No evidence for a decline in the density of Antarctic krill Euphausia superba Dana, 1850, in the Southwest Atlantic sector between 1976 and 2016

The Antarctic marine environment is changing, and changes in the Southwest Atlantic sector have included decreases in sea ice and increases in water temperature. Associated with these changes is a reported 38% and 81% per decade decline in the numerical density (hereafter density) of Antarctic krill Euphausia superba Dana, 1850 , between 1976 and 2003. Few changes in other components of the ecosystem that could be attributed to such a change, such as a mass decline in krill-dependent predators, have been detected. In an ecosystem so dependent on this keystone species, a massive population decline in krill ought to have had an obvious effect. In the absence of such an effect, it is timely to revisit the issue of the purported decline in krill density. The original analysis that indicated a decline in krill density was based on the 2004 version of KRILLBASE, a database of net samples. We analysed the publicly available and updated version (version 1, accessed 30 November 2017) and our analyses did not suggest a significant decline in krill density. Rather, after accounting for sampling heterogeneity and habitat variables, average krill density appears to have been stable but with considerable inter-annual variability. Since our results were unable to find any evidence for a decline in krill density we recommend a re-appraisal of many of the paradigms that underlie much of the recent thinking about ecosystem change Antarctic waters. Such a revision is necessary to provide a firmer foundation for predictions of the effects of climate change and resource extraction on the Southern Ocean ecosystem.
Optimization of Time–Frequency Resource Management Based on Probabilistic Graphical Models in Railway Internet-of-Things Networking

As the high-speed railway (HSR) industry Internet-of-Things chain matures, HSR wireless communication technology has become an increasingly important research field. The efficient management of time–frequency resources for Internet-of-Things networking is the core issue of HSR wireless communication optimization. The lack of time–frequency resources in LTE-R is still severe. In this article, a new LTE-R time–frequency resource allocation optimization method based on the probabilistic graphical theory is proposed. Considering the regularity that high-speed trains always pass by the same geographical location in similar time periods, we can do some research on opportunistic spectrum accessibility in the existing LTE time–frequency resource algorithm. The probabilistic graphical theory is suitable for finding the appropriate communication access opportunity in an HSR environment. The simulation results show that our method can effectively improve the performance of various traditional LTE time–frequency resource allocation algorithms.
How to fake zero-knowledge proofs, again

In 2012, Bernhard et al. showed that the Fiat-Shamir heuristic must be used with great care in zero-knowledge proofs. We explain how, in the Belenios voting system, while not using the weak version of Fiat-Shamir, there is still a gap that allows to fake a zero-knowledge proof in certain circumstances. Therefore an attacker who corrupts the voting server and the decryption trustees could break verifiability.
Temperature Effects in OTA MIMO Measurement

Evaluating transceiver performance in the research and development stage is the basic function of over-the-air (OTA) testing. OTA testing is considered as the standard method for determining the radiated performance of wireless devices. The multiple-input–multiple-output (MIMO) technology used in wireless devices through the integration of multiple antennas is important for the current 4G long-term evolution (LTE) and the future fifth-generation (5G) wireless systems. OTA testing may be the optimal method for MIMO performance evaluation. During MIMO measurement, the transmitting power level of MIMO devices is set to 10 dB lower than the maximum transmitting power level. Because the transmitting power level can affect a device’s physical temperature and, thus, proportionally increase the noise temperature and affect the throughput of the wireless equipment, the MIMO throughput of the device under test (DUT) determined with standard OTA measurement may not reflect real-world usage, and failure to consider the temperature effect of the DUT might contribute to measurement uncertainty. Here, to verify the temperature effect, we modified the radiated two-stage (RTS) procedure for MIMO systems to eliminate this uncertainty and quantify the temperature effect on DUT MIMO throughput. With this proposed method, the measured MIMO performance is a function of the temperature of the DUT, which is determined according to the transmitting power level of the DUT in its thermally stable condition. The proposed method further provides crucial information enabling engineers to optimize functional and EMC designs.
Biosensor Engineering for the Development of Yeast Cell Factories

Our ability to rewire cellular metabolism for the sustainable production of chemicals, fuels and therapeutics based on microbial cell factories has advanced rapidly during the last two decades. Especially the speed and precision by which microbial genomes can be engineered now allow for more advanced designs to be implemented and tested. However, compared to the methods developed for engineering cell factories, the methods developed for testing the performance of newly engineered cell factories in high throughput are lagging far behind, which consequently impacts the overall biomanufacturing process. For this purpose, there is a need to develop new techniques for screening and selection of best-performing cell factory designs in multiplex. Here we review the current status of the sourcing, design and engineering of biosensors derived from allosterically regulated transcription factors applied to the biotechnology work-horse budding yeast Saccharomyces cerevisiae. We conclude by providing a perspective on the most important challenges and opportunities lying ahead in order to harness the full potential of biosensor development for increasing both the throughput of cell factory development and robustness of overall bioprocesses.
Ecosystems of artificial saline lakes. A case of Lake Magic in Wadi El-Rayan depression (Egypt)

The Wadi El-Rayan is a depression in the Fayoum oasis collecting agricultural drainage water from the Fayoum. Since 1973, this drainage water formed two man-made lakes. Twenty years ago, a third lake, called Lake Magic was formed. Since this newly formed lake was not yet studied, in January of 2019 we conducted research related to its physico-chemical (ion composition, nutrients, heavy metals, etc.) and biological (phyto-, bacterio- and zooplankton) characteristics. The depth of the lake ranged from 1.5 to 9.0 m, water transparency was up to 4.0 m, and the water temperature was 13.6 °C. The average salinity was 29.1 g/l, and the salinity of drainage waters from agricultural fields was 2.9 g/l. A total of 28 phytoplankton species was identified belonging to Bacillariophyceae (eight species), Dinophyceae (three species), Cyanobacteria (seven species), Chlorophyceae (nine species) and Conjugatophyceae (one species). Chlorophyllacontent varied from 14.3 to 24.2 μg/l. In zooplankton, there were three species of Ciliophora, five of Rotifera, and two Copepoda as well as Nematoda and Cirripedia larvae. Salinity in Lake Magic was much higher than in drainage waters coming in the lake. This is a result of a strong salinity increase in Lake Magic after its creation due to climate aridity, and salinity may markedly increase during the next 20 years along with the sharp changes of the lake's ecosystem.
Max–Min Throughput Optimization in FDD Multiantenna Wirelessly Powered IoT Networks

This article studies a multiuser multiple-input–single-output (MU-MISO) Internet-of-Things (IoT) network powered by wireless power transfer (WPT). The network consists of one hybrid data-and-energy access point (HAP) having multiple antennas and several single-antenna IoT nodes. The HAP coordinates energy/information transfer to/from the nodes in the downlink (DL)/uplink (UL) using frequency-division duplexing (FDD). On the one hand, in order for WPT to effectively harness the potential of multiple antennas, it requires such techniques as energy beamforming (EB). On the other hand, efficient EB can only be achieved if channel state information (CSI) is available to the transmitter, which, in FDD systems, can be accomplished through UL feedback. Therefore, the UL channel frames are split into two phases in our scheme: 1) the CSI feedback phase during which the IoT nodes feed CSI back to the HAP and 2) the wireless information transmission (WIT) phase where the HAP performs WIT. To ensure rate fairness among the IoT nodes, we maximize the minimum expected WIT data rate among the nodes. This problem is nonconvex and thus difficult to solve optimally. To tackle this challenge, we decouple the original optimization problem into tractable subproblems and solve them in an alternative manner. Finally, we analyze the behavior of this system when the number of HAP antennas increases. Simulation results corroborate the accuracy of our analysis.
Influence of Prolonged Salting on the Physicochemical Properties of Duck Egg White

Salted duck eggs are unique among the important authentic foods of Thailand. They are mainly produced in Chaiya district, Surat Thani province, in the southern part of Thailand. The egg whites of salted duck eggs are normally unusable due to heavily salty taste upon prolonged storage. The present study was aimed to examine the foaming characteristics of egg white after being cured for a prolonged period (30 days). At 5-day intervals the egg whites were measured for salt, moisture, water activity, hydrophobicity, pH, zeta potential, particle size, SH groups, surface tension and foaming properties (index of whipping, foam durability, specific density, overrun, air phase and yield stress). The results showed that prolonged curing significantly affected egg white and its foam. Salt content, hydrophobicity, particle size, and exposed SH groups gradually increased with storage period. On the other hand, moisture, water activity, pH, zeta potential, surface tension and total SH groups decreased continuously throughout the storage. In addition, foaming properties slightly declined due to accumulation of salt content with extended storage. Conversely, the yield stress – an important indicator of foam quality – increased from 32.33 to 70.55 % during storage. Overall, the egg whites could possibly serve as a key and/or a substitute ingredient in foam-based food products.
A Redescription of the Stygobitic Amphipod Crangonyx grandimanus (Amphipoda: Crangonyctidae) Including Phylogenetically Significant Sequence Data for Mitochondrial and Nuclear Genes

Abstract Crangonyx grandimanus Bousfield, 1963, a relatively large stygobitic amphipod endemic to the Floridan aquifer, is redescribed from its holotype specimen and topotype material. In addition to the morphological redescription, genetic sequence data for sections of the nuclear 18S rDNA, 28S rDNA, and mitochondrial 16S rDNA are provided from the examined topotypes.
Features of transmission of electromagnetic waves through composite nanoresonators including epsilon-near-zero metamaterials

Transmission of electromagnetic waves through nanometric multilayers (nanoresonators) including a main composite layer made of two alternating strips of low-absorbing dielectrics that is sandwiched between epsilon-near-zero (ENZ) or metallic spacer layers has been modeled. Analytical models are based on exact solutions of electromagnetic boundary problems. The spacers with the definite properties lead to extreme dependences of amplitude transmission coefficients on the system parameters and drastic increase in phase difference of the transmitted waves. These effects are most pronounced for subwavelength multilayer thicknesses due to multibeam interference features in the nanoresonator, and they can be amplified when the main layer and (or) the whole system thicknesses decrease. The investigated transmission features take place under variations of the system parameters such as anisotropy of the main layer materials, non-ideal realization of ENZ materials, oblique incidence of the exciting radiation (for small incidence angles). The obtained results can have applications in development of ultra-thin nanophotonics devices using phase transformation of transmitted waves.
Flexibility Provisions in Active Distribution Networks With Uncertainties

This paper proposes a risk-averse time-series joint scheduling method to release inherent benefits for improvements on operational cost, voltage profile and risk control, through flexibility extraction from grid-storage-demand resources in active distribution networks (ADNs). In particular, a flexibility analytical framework is developed to fully harness the controllability of various resources in both spatial and temporal scales, and is available for future analysis. The expected operational cost and the risks imposed by uncertainties are simultaneously addressed via conditional value at risk while satisfying physical and operating constraints, in which a sample weighted average approximation (SWAA) technique is employed for approximating the faced uncertainties. The SWAA-based stochastic scheduling problem is further transformed into a second-order cone programming problem via linearization and conic relaxation. Numerical simulations on 33-bus and 123-bus test systems verify the effectiveness of the proposed method.